UFO_Sighting.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <span style='color:dodgerblue; font-weight:bold;'>UFO Sighting</span>\n",
    "\n",
    "### <span style='color:aqua; font-weight:bold;'>Inspiration</span>\n",
    "* What areas of the country are most likely to have UFO sightings?\n",
    "* Are there any trends in UFO sightings over time? Do they tend to be clustered or seasonal?\n",
    "* Do clusters of UFO sightings correlate with landmarks, such as airports or government research centers?\n",
    "* What are the most common UFO descriptions?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### <span style='color:aqua; font-weight:bold;'> Import Packages and Load the data</span> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Essentials\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Visualization\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import plotly.express as px\n",
    "import plotly.offline as py\n",
    "import plotly.graph_objects as go\n",
    "import missingno as msno\n",
    "\n",
    "# Misc\n",
    "import spacy\n",
    "from sklearn.impute import SimpleImputer\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "\n",
    "# Ignore useless warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ufo_df = pd.read_csv('scrubbed.csv', low_memory=False) # low_memory to avoid warnings"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <span style='color:dodgerblue; font-weight:bold;'> Exploratory Data Analysis</span> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(80332, 11)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>shape</th>\n",
       "      <th>duration (seconds)</th>\n",
       "      <th>duration (hours/min)</th>\n",
       "      <th>comments</th>\n",
       "      <th>date posted</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10/10/1949 20:30</td>\n",
       "      <td>san marcos</td>\n",
       "      <td>tx</td>\n",
       "      <td>us</td>\n",
       "      <td>cylinder</td>\n",
       "      <td>2700</td>\n",
       "      <td>45 minutes</td>\n",
       "      <td>This event took place in early fall around 194...</td>\n",
       "      <td>4/27/2004</td>\n",
       "      <td>29.8830556</td>\n",
       "      <td>-97.941111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10/10/1949 21:00</td>\n",
       "      <td>lackland afb</td>\n",
       "      <td>tx</td>\n",
       "      <td>NaN</td>\n",
       "      <td>light</td>\n",
       "      <td>7200</td>\n",
       "      <td>1-2 hrs</td>\n",
       "      <td>1949 Lackland AFB&amp;#44 TX.  Lights racing acros...</td>\n",
       "      <td>12/16/2005</td>\n",
       "      <td>29.38421</td>\n",
       "      <td>-98.581082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10/10/1955 17:00</td>\n",
       "      <td>chester (uk/england)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>gb</td>\n",
       "      <td>circle</td>\n",
       "      <td>20</td>\n",
       "      <td>20 seconds</td>\n",
       "      <td>Green/Orange circular disc over Chester&amp;#44 En...</td>\n",
       "      <td>1/21/2008</td>\n",
       "      <td>53.2</td>\n",
       "      <td>-2.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10/10/1956 21:00</td>\n",
       "      <td>edna</td>\n",
       "      <td>tx</td>\n",
       "      <td>us</td>\n",
       "      <td>circle</td>\n",
       "      <td>20</td>\n",
       "      <td>1/2 hour</td>\n",
       "      <td>My older brother and twin sister were leaving ...</td>\n",
       "      <td>1/17/2004</td>\n",
       "      <td>28.9783333</td>\n",
       "      <td>-96.645833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10/10/1960 20:00</td>\n",
       "      <td>kaneohe</td>\n",
       "      <td>hi</td>\n",
       "      <td>us</td>\n",
       "      <td>light</td>\n",
       "      <td>900</td>\n",
       "      <td>15 minutes</td>\n",
       "      <td>AS a Marine 1st Lt. flying an FJ4B fighter/att...</td>\n",
       "      <td>1/22/2004</td>\n",
       "      <td>21.4180556</td>\n",
       "      <td>-157.803611</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           datetime                  city state country     shape  \\\n",
       "0  10/10/1949 20:30            san marcos    tx      us  cylinder   \n",
       "1  10/10/1949 21:00          lackland afb    tx     NaN     light   \n",
       "2  10/10/1955 17:00  chester (uk/england)   NaN      gb    circle   \n",
       "3  10/10/1956 21:00                  edna    tx      us    circle   \n",
       "4  10/10/1960 20:00               kaneohe    hi      us     light   \n",
       "\n",
       "  duration (seconds) duration (hours/min)  \\\n",
       "0               2700           45 minutes   \n",
       "1               7200              1-2 hrs   \n",
       "2                 20           20 seconds   \n",
       "3                 20             1/2 hour   \n",
       "4                900           15 minutes   \n",
       "\n",
       "                                            comments date posted    latitude  \\\n",
       "0  This event took place in early fall around 194...   4/27/2004  29.8830556   \n",
       "1  1949 Lackland AFB&#44 TX.  Lights racing acros...  12/16/2005    29.38421   \n",
       "2  Green/Orange circular disc over Chester&#44 En...   1/21/2008        53.2   \n",
       "3  My older brother and twin sister were leaving ...   1/17/2004  28.9783333   \n",
       "4  AS a Marine 1st Lt. flying an FJ4B fighter/att...   1/22/2004  21.4180556   \n",
       "\n",
       "   longitude   \n",
       "0  -97.941111  \n",
       "1  -98.581082  \n",
       "2   -2.916667  \n",
       "3  -96.645833  \n",
       "4 -157.803611  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 80332 entries, 0 to 80331\n",
      "Data columns (total 11 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   datetime              80332 non-null  object \n",
      " 1   city                  80332 non-null  object \n",
      " 2   state                 74535 non-null  object \n",
      " 3   country               70662 non-null  object \n",
      " 4   shape                 78400 non-null  object \n",
      " 5   duration (seconds)    80332 non-null  object \n",
      " 6   duration (hours/min)  80332 non-null  object \n",
      " 7   comments              80317 non-null  object \n",
      " 8   date posted           80332 non-null  object \n",
      " 9   latitude              80332 non-null  object \n",
      " 10  longitude             80332 non-null  float64\n",
      "dtypes: float64(1), object(10)\n",
      "memory usage: 6.7+ MB\n"
     ]
    }
   ],
   "source": [
    "ufo_df.info()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Converting timeseries \"object\" features to \"datetime\" data types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "datetime64[ns]\n",
      "datetime64[ns]\n",
      "datetime64[ns]\n"
     ]
    }
   ],
   "source": [
    "# converting from object to datetime data type\n",
    "ufo_df['datetime'] = pd.to_datetime(ufo_df['datetime'], errors='coerce')\n",
    "ufo_df['duration (seconds)'] = pd.to_datetime(ufo_df['duration (seconds)'], errors='coerce')\n",
    "ufo_df['date posted'] = pd.to_datetime(ufo_df['date posted'], errors='coerce')\n",
    "\n",
    "# drop the \"duration (hours/min)\" feature because its same as \"duration (seconds)\", so no need for it.\n",
    "ufo_df.drop('duration (hours/min)',axis=1, inplace=True)\n",
    "\n",
    "print(ufo_df['datetime'].dtype)\n",
    "print(ufo_df['duration (seconds)'].dtype)\n",
    "print(ufo_df['date posted'].dtype)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Converting categorical values to numarical values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df['latitude'] = pd.to_numeric(ufo_df['latitude'], errors='coerce')\n",
    "ufo_df['latitude'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Qualitative Columns: \n",
      "['datetime', 'city', 'state', 'country', 'shape', 'duration (seconds)', 'comments', 'date posted']\n",
      "Quantitative Columns: \n",
      "['latitude', 'longitude ']\n"
     ]
    }
   ],
   "source": [
    "# Sort the dataset features to quantitative and qualitative categories.\n",
    "quantitative_cols = []\n",
    "qualitative_cols = []\n",
    "for col in ufo_df.columns:\n",
    "    if pd.api.types.is_numeric_dtype(ufo_df[col]):\n",
    "            quantitative_cols.append(col)\n",
    "    else:\n",
    "        qualitative_cols.append(col)\n",
    "\n",
    "print(\"Qualitative Columns: \")\n",
    "print(qualitative_cols)\n",
    "\n",
    "print(\"Quantitative Columns: \")\n",
    "print(quantitative_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "object            5\n",
       "datetime64[ns]    3\n",
       "float64           2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# make sure all features have the correct data type.\n",
    "ufo_df.dtypes.value_counts() # data types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>80331.0</td>\n",
       "      <td>38.124477</td>\n",
       "      <td>10.469636</td>\n",
       "      <td>-82.862752</td>\n",
       "      <td>34.134722</td>\n",
       "      <td>39.411111</td>\n",
       "      <td>42.788333</td>\n",
       "      <td>72.7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>80332.0</td>\n",
       "      <td>-86.772885</td>\n",
       "      <td>39.697205</td>\n",
       "      <td>-176.658056</td>\n",
       "      <td>-112.073333</td>\n",
       "      <td>-87.903611</td>\n",
       "      <td>-78.755000</td>\n",
       "      <td>178.4419</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              count       mean        std         min         25%        50%  \\\n",
       "latitude    80331.0  38.124477  10.469636  -82.862752   34.134722  39.411111   \n",
       "longitude   80332.0 -86.772885  39.697205 -176.658056 -112.073333 -87.903611   \n",
       "\n",
       "                  75%       max  \n",
       "latitude    42.788333   72.7000  \n",
       "longitude  -78.755000  178.4419  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "us    65114\n",
       "ca     3000\n",
       "gb     1905\n",
       "au      538\n",
       "de      105\n",
       "Name: country, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df['country'].value_counts().head(10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <span style='color:dodgerblue; font-weight:bold;'> Data Pre-processing </span>\n",
    "\n",
    "### <span style='color:aqua; font-weight:bold;'> Data redundancy </span> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of duplicated instances: 2\n",
      "                 datetime       city state country  shape duration (seconds)  \\\n",
      "62690 2013-07-04 22:00:00   shakopee    mn      us  light                NaT   \n",
      "70780 2013-08-30 21:45:00  haymarket    va      us  light                NaT   \n",
      "\n",
      "                 comments date posted   latitude  longitude   \n",
      "62690   Orange fast orbs.  2013-07-05  44.798056  -93.526667  \n",
      "70780  2 bright lights...  2013-09-09  38.811944  -77.636667  \n"
     ]
    }
   ],
   "source": [
    "# Check for duplicates across all columns\n",
    "duplicated = ufo_df.duplicated()\n",
    "\n",
    "# Print the number of duplicated instances\n",
    "print(\"Number of duplicated instances:\", duplicated.sum())\n",
    "\n",
    "# Print the duplicated instances\n",
    "print(ufo_df[duplicated])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### <span style='color:aqua; font-weight:bold;'> Missing Values </span> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    Total   Percent\n",
      "duration (seconds)  77332  0.962655\n",
      "country              9670  0.120375\n",
      "state                5797  0.072163\n",
      "shape                1932  0.024050\n",
      "datetime              694  0.008639\n",
      "comments               15  0.000187\n",
      "latitude                1  0.000012\n"
     ]
    }
   ],
   "source": [
    "# print the percentage of missing values for instances.\n",
    "total = ufo_df.isnull().sum().sort_values(ascending = False)[ufo_df.isnull().sum().sort_values(ascending = False) != 0]\n",
    "percent = ((ufo_df.isnull().sum() / ufo_df.isnull().count()).sort_values(ascending = False)[(ufo_df.isnull().sum() / ufo_df.isnull().count()).sort_values(ascending = False) != 0])\n",
    "missing = pd.concat([total, percent], axis = 1, keys = ['Total', 'Percent'])\n",
    "print(missing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(ufo_df);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As shown in the previous plot, the \"duration (seconds)\" feature has 96% missing values, so we need to drop it as we can do nothing with it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "ufo_df.drop(\"duration (seconds)\", axis=1, inplace=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Handling the missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Handling missing values using SimpleImputer.\n",
    "imputer = SimpleImputer(missing_values=np.nan, strategy='most_frequent')\n",
    "imputer.fit(ufo_df[['datetime', 'state', 'country', 'shape', 'comments']])\n",
    "ufo_df[['datetime', 'state', 'country', 'shape', 'comments']]=imputer.transform(ufo_df[['datetime', 'state', 'country', 'shape', 'comments']])\n",
    "ufo_df['latitude'].fillna(int(ufo_df['latitude'].mean()), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime       0\n",
       "city           0\n",
       "state          0\n",
       "country        0\n",
       "shape          0\n",
       "comments       0\n",
       "date posted    0\n",
       "latitude       0\n",
       "longitude      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check there is no more missing values.\n",
    "ufo_df.isnull().sum()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### <span style='color:aqua; font-weight:bold;'> Correlation </span> \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = ufo_df.corr()\n",
    "sns.heatmap(corr, cmap='coolwarm', annot=True, fmt='.2f', center=0, square=True)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### <span style='color:aqua; font-weight:bold;'> Plot relationship between variables</span> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "marker": {
          "color": "rgb(124, 176, 230)"
         },
         "type": "bar",
         "x": [
          2012,
          2013,
          2011,
          2010,
          2008,
          2009,
          2007,
          2004,
          2005,
          2003,
          2006,
          2002,
          2001,
          1999,
          2000,
          2014,
          1998,
          1997,
          1995,
          1996,
          1994,
          1978,
          1975,
          1993,
          1976,
          1974,
          1977,
          1990,
          1992,
          1979,
          1989,
          1988,
          1980,
          1991,
          1987,
          1973,
          1985,
          1968,
          1986,
          1984,
          1966,
          1965,
          1967,
          1982,
          1981,
          1972,
          1969,
          1983,
          1970,
          1971,
          1964,
          1963,
          1962,
          1957,
          1960,
          1954,
          1959,
          1961,
          1952,
          1958
         ],
         "y": [
          7308,
          6992,
          5077,
          4952,
          4777,
          4508,
          4243,
          4220,
          4039,
          3935,
          3682,
          3211,
          3109,
          2788,
          2752,
          2252,
          1739,
          1242,
          1066,
          826,
          417,
          330,
          311,
          300,
          273,
          269,
          264,
          257,
          246,
          244,
          243,
          239,
          238,
          234,
          223,
          222,
          215,
          214,
          188,
          185,
          185,
          184,
          184,
          180,
          163,
          155,
          155,
          148,
          144,
          128,
          88,
          82,
          71,
          70,
          63,
          51,
          49,
          48,
          45,
          44
         ]
        }
       ],
       "layout": {
        "height": 500,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "UFO Sightings by Year"
        },
        "width": 900,
        "xaxis": {
         "tickangle": -60,
         "title": {
          "text": "Year"
         }
        },
        "yaxis": {
         "title": {
          "text": "Count"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ufo_yr = ufo_df['datetime'].dt.year\n",
    "\n",
    "# Calculate the count of UFO sightings by year\n",
    "years_data = ufo_yr.value_counts()\n",
    "years_index = years_data.index\n",
    "years_values = years_data.values\n",
    "\n",
    "# Create the bar plot using Plotly\n",
    "fig = go.Figure(data=go.Bar(x=years_index[:60], y=years_values[:60], marker_color='rgb(124, 176, 230)'))\n",
    "fig.update_layout(\n",
    "    title='UFO Sightings by Year',\n",
    "    xaxis=dict(title='Year'),\n",
    "    yaxis=dict(title='Count'),\n",
    "    xaxis_tickangle=-60,\n",
    "    height=500,\n",
    "    width=900\n",
    ")\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "Season=%{x}<br>Sightings=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "Summer",
          "Fall",
          "Spring",
          "Winter"
         ],
         "xaxis": "x",
         "y": [
          26742,
          21569,
          16140,
          15881
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "UFO Sightings by Season"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Season"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Sightings"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a function to map months to seasons\n",
    "def get_season(month):\n",
    "    if month in range(3, 6):\n",
    "        return 'Spring'\n",
    "    elif month in range(6, 9):\n",
    "        return 'Summer'\n",
    "    elif month in range(9, 12):\n",
    "        return 'Fall'\n",
    "    else:\n",
    "        return 'Winter'\n",
    "\n",
    "# Apply the function to the 'datetime' column to get the season\n",
    "ufo_df['season'] = ufo_df['datetime'].dt.month.apply(get_season)\n",
    "\n",
    "# Calculate the count of sightings for each season\n",
    "seasonal_counts = ufo_df['season'].value_counts()\n",
    "\n",
    "# Create a DataFrame with the season and sightings count\n",
    "df_seasonal_counts = pd.DataFrame({'Season': seasonal_counts.index, 'Sightings': seasonal_counts.values})\n",
    "\n",
    "# Create the bar plot using Plotly\n",
    "fig = px.bar(df_seasonal_counts, x='Season', y='Sightings', title='UFO Sightings by Season')\n",
    "fig.update_layout(xaxis=dict(title='Season'), yaxis=dict(title='Sightings'))\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "Month=%{x}<br>Sightings=%{y}<extra></extra>",
         "legendgroup": "",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "",
         "orientation": "v",
         "showlegend": false,
         "type": "scatter",
         "x": [
          1,
          2,
          3,
          4,
          5,
          6,
          7,
          8,
          9,
          10,
          11,
          12
         ],
         "xaxis": "x",
         "y": [
          5632,
          4626,
          5408,
          5492,
          5240,
          8019,
          10135,
          8588,
          7535,
          7343,
          6691,
          5623
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Global UFO Sightings by Month"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "tickangle": -45,
         "title": {
          "text": "Month"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "UFO Sightings"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter out rows with missing datetime values\n",
    "ufo_df_filtered = ufo_df.dropna(subset=['datetime'])\n",
    "\n",
    "# Extract month from the datetime column\n",
    "m_cts = ufo_df_filtered['datetime'].dt.month.value_counts().sort_index()\n",
    "\n",
    "# Create a DataFrame with the month and sightings count\n",
    "df_monthly_sightings = pd.DataFrame({'Month': m_cts.index, 'Sightings': m_cts.values})\n",
    "\n",
    "# Create the line plot using Plotly\n",
    "fig = px.line(df_monthly_sightings, x='Month', y='Sightings', title='Global UFO Sightings by Month')\n",
    "fig.update_layout(xaxis=dict(title='Month'), yaxis=dict(title='UFO Sightings'), xaxis_tickangle=-45)\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "Day=%{x}<br>Counts=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          15,
          1,
          4,
          20,
          10,
          12,
          30,
          5,
          13,
          14,
          25,
          16,
          7,
          19,
          3,
          6,
          22,
          11,
          18,
          8,
          24,
          23,
          28,
          17,
          21,
          2,
          9,
          26,
          27,
          29,
          31
         ],
         "xaxis": "x",
         "y": [
          5867,
          5508,
          3794,
          3022,
          2882,
          2560,
          2537,
          2474,
          2473,
          2440,
          2409,
          2408,
          2381,
          2350,
          2344,
          2309,
          2304,
          2293,
          2286,
          2283,
          2279,
          2271,
          2266,
          2266,
          2221,
          2177,
          2168,
          2028,
          2025,
          1980,
          1727
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "UFO Sightings by Day"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Day of Month"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Sighting Number"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the count of UFO sightings by day of the month\n",
    "day_counts = ufo_df['datetime'].dt.day.value_counts()\n",
    "\n",
    "# Create a DataFrame with the day of the month and counts\n",
    "df_day_counts = pd.DataFrame({'Day': day_counts.index, 'Counts': day_counts.values})\n",
    "\n",
    "# Create the countplot using Plotly\n",
    "fig = px.bar(df_day_counts, x='Day', y='Counts', title='UFO Sightings by Day')\n",
    "fig.update_layout(xaxis=dict(title='Day of Month'), yaxis=dict(title='Sighting Number'))\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "Shape=%{x}<br>Counts=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "light",
          "triangle",
          "circle",
          "fireball",
          "other",
          "unknown",
          "sphere",
          "disk",
          "oval",
          "formation",
          "cigar",
          "changing",
          "flash",
          "rectangle",
          "cylinder",
          "diamond",
          "chevron",
          "egg",
          "teardrop",
          "cone",
          "cross",
          "delta",
          "round",
          "crescent",
          "pyramid",
          "flare",
          "hexagon",
          "dome",
          "changed"
         ],
         "xaxis": "x",
         "y": [
          18497,
          7865,
          7608,
          6208,
          5649,
          5584,
          5387,
          5213,
          3733,
          2457,
          2057,
          1962,
          1328,
          1297,
          1283,
          1178,
          952,
          759,
          750,
          316,
          233,
          7,
          2,
          2,
          1,
          1,
          1,
          1,
          1
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Most frequent shape"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "tickangle": 60,
         "title": {
          "text": "Shape"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Most frequent"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the count of each shape\n",
    "shape_counts = ufo_df['shape'].value_counts()\n",
    "\n",
    "# Create a DataFrame with the shape and counts\n",
    "df_shape_counts = pd.DataFrame({'Shape': shape_counts.index, 'Counts': shape_counts.values})\n",
    "\n",
    "# Create the countplot using Plotly\n",
    "fig = px.bar(df_shape_counts, x='Shape', y='Counts', title='Most frequent shape')\n",
    "fig.update_layout(xaxis=dict(title='Shape'), yaxis=dict(title='Most frequent'))\n",
    "\n",
    "# Rotate x-axis tick labels for better readability\n",
    "fig.update_xaxes(tickangle=60)\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "Country=%{x}<br>Sightings=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "us",
          "ca",
          "gb",
          "au",
          "de"
         ],
         "xaxis": "x",
         "y": [
          74784,
          3000,
          1905,
          538,
          105
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "annotations": [
         {
          "font": {
           "size": 10
          },
          "showarrow": false,
          "text": "[74784  3000  1905   538   105]",
          "x": [
           "us",
           "ca",
           "gb",
           "au",
           "de"
          ],
          "y": [
           74784,
           3000,
           1905,
           538,
           105
          ]
         }
        ],
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Countries with the most UFO sightings"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Country"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Sightings"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the count of UFO sightings by country\n",
    "country_counts = ufo_df['country'].value_counts(dropna=False)\n",
    "\n",
    "# Create a DataFrame with the country and sightings count\n",
    "df_country_counts = pd.DataFrame({'Country': country_counts.index, 'Sightings': country_counts.values})\n",
    "\n",
    "# Create the bar plot using Plotly\n",
    "fig = px.bar(df_country_counts, x='Country', y='Sightings', title='Countries with the most UFO sightings')\n",
    "fig.update_layout(xaxis=dict(title='Country'), yaxis=dict(title='Sightings'))\n",
    "\n",
    "# Add annotations to the bars\n",
    "for data in fig.data:\n",
    "    fig.add_annotation(x=data['x'], y=data['y'], text=str(data['y']), showarrow=False, font=dict(size=10))\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "mode": "lines",
         "type": "scatter",
         "x": [
          1998,
          1999,
          2000,
          2001,
          2002,
          2003,
          2004,
          2005,
          2006,
          2007,
          2008,
          2009,
          2010,
          2011,
          2012,
          2013,
          2014
         ],
         "y": [
          890,
          4286,
          3042,
          3496,
          4230,
          4792,
          5224,
          5288,
          4399,
          4875,
          5121,
          5936,
          4446,
          5616,
          8090,
          7562,
          3039
         ]
        }
       ],
       "layout": {
        "height": 500,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Posting the case's rates by years"
        },
        "width": 900,
        "xaxis": {
         "tickangle": 0,
         "title": {
          "text": "Year"
         }
        },
        "yaxis": {
         "title": {
          "text": "Post Year"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the count of UFO sighting posts by year\n",
    "year_counts = ufo_df['date posted'].dt.year.value_counts().sort_index()\n",
    "\n",
    "# Create the line plot using Plotly\n",
    "fig = go.Figure(data=go.Scatter(x=year_counts.index, y=year_counts.values, mode='lines'))\n",
    "fig.update_layout(\n",
    "    title=\"Posting the case's rates by years\",\n",
    "    xaxis=dict(title='Year'),\n",
    "    yaxis=dict(title='Post Year'),\n",
    "    xaxis_tickangle=0,\n",
    "    height=500,\n",
    "    width=900\n",
    ")\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "marker": {
          "color": "rgb(124, 176, 230)"
         },
         "type": "bar",
         "x": [
          "ab",
          "ak",
          "al",
          "ar",
          "az",
          "bc",
          "ca",
          "co",
          "ct",
          "dc",
          "de",
          "fl",
          "ga",
          "hi",
          "ia",
          "id",
          "il",
          "in",
          "ks",
          "ky",
          "la",
          "ma",
          "mb",
          "md",
          "me",
          "mi",
          "mn",
          "mo",
          "ms",
          "mt",
          "nb",
          "nc",
          "nd",
          "ne",
          "nf",
          "nh",
          "nj",
          "nm",
          "ns",
          "nt",
          "nv",
          "ny",
          "oh",
          "ok",
          "on",
          "or",
          "pa",
          "pe",
          "pq",
          "pr",
          "qc",
          "ri",
          "sa",
          "sc",
          "sd",
          "sk",
          "tn",
          "tx",
          "ut",
          "va",
          "vt",
          "wa",
          "wi",
          "wv",
          "wy",
          "yk",
          "yt"
         ],
         "y": [
          45,
          354,
          690,
          666,
          2689,
          96,
          12911,
          1505,
          968,
          98,
          183,
          4200,
          1347,
          353,
          707,
          554,
          2645,
          1386,
          653,
          914,
          597,
          1358,
          28,
          911,
          633,
          2071,
          1081,
          1576,
          414,
          510,
          30,
          1868,
          138,
          405,
          10,
          535,
          1512,
          815,
          40,
          4,
          905,
          3219,
          2424,
          766,
          230,
          1845,
          2582,
          7,
          26,
          33,
          54,
          289,
          1,
          1076,
          196,
          19,
          1192,
          3677,
          743,
          1393,
          307,
          4266,
          1333,
          485,
          205,
          5,
          6
         ]
        }
       ],
       "layout": {
        "height": 600,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "UFO Sightings by State in the US"
        },
        "width": 1200,
        "xaxis": {
         "tickangle": -70,
         "title": {
          "text": "State"
         }
        },
        "yaxis": {
         "title": {
          "text": "Count"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "states_us = ufo_df[ufo_df.country == \"us\"][\"state\"].value_counts()\n",
    "states_us = states_us.sort_index()\n",
    "\n",
    "# Create the bar plot using Plotly\n",
    "fig = go.Figure(data=go.Bar(x=states_us.index, y=states_us.values, marker_color='rgb(124, 176, 230)'))\n",
    "fig.update_layout(\n",
    "    title=\"UFO Sightings by State in the US\",\n",
    "    xaxis=dict(title='State'),\n",
    "    yaxis=dict(title='Count'),\n",
    "    xaxis_tickangle=-70,\n",
    "    height=600,\n",
    "    width=1200\n",
    ")\n",
    "\n",
    "# Show the interactive plot\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "colorbar": {
          "title": {
           "text": "Sight rates by states"
          }
         },
         "colorscale": [
          [
           0,
           "rgb(247,251,255)"
          ],
          [
           0.125,
           "rgb(222,235,247)"
          ],
          [
           0.25,
           "rgb(198,219,239)"
          ],
          [
           0.375,
           "rgb(158,202,225)"
          ],
          [
           0.5,
           "rgb(107,174,214)"
          ],
          [
           0.625,
           "rgb(66,146,198)"
          ],
          [
           0.75,
           "rgb(33,113,181)"
          ],
          [
           0.875,
           "rgb(8,81,156)"
          ],
          [
           1,
           "rgb(8,48,107)"
          ]
         ],
         "locationmode": "USA-states",
         "locations": [
          "CA",
          "WA",
          "FL",
          "TX",
          "NY",
          "AZ",
          "IL",
          "PA",
          "OH",
          "MI",
          "NC",
          "OR",
          "MO",
          "NJ",
          "CO",
          "VA",
          "IN",
          "MA",
          "GA",
          "WI",
          "TN",
          "MN",
          "SC",
          "CT",
          "KY",
          "MD",
          "NV",
          "NM",
          "OK",
          "UT",
          "IA",
          "AL",
          "AR",
          "KS",
          "ME",
          "LA",
          "ID",
          "NH",
          "MT",
          "WV",
          "MS",
          "NE",
          "AK",
          "HI",
          "VT",
          "RI",
          "ON",
          "WY",
          "SD",
          "DE",
          "ND",
          "DC",
          "BC",
          "QC",
          "AB",
          "NS",
          "PR",
          "NB",
          "MB",
          "PQ",
          "SK",
          "NF",
          "PE",
          "YT",
          "YK",
          "NT",
          "SA"
         ],
         "marker": {
          "line": {
           "color": "rgb(255,255,255)",
           "width": 2
          }
         },
         "text": "times",
         "type": "choropleth",
         "z": [
          12911,
          4266,
          4200,
          3677,
          3219,
          2689,
          2645,
          2582,
          2424,
          2071,
          1868,
          1845,
          1576,
          1512,
          1505,
          1393,
          1386,
          1358,
          1347,
          1333,
          1192,
          1081,
          1076,
          968,
          914,
          911,
          905,
          815,
          766,
          743,
          707,
          690,
          666,
          653,
          633,
          597,
          554,
          535,
          510,
          485,
          414,
          405,
          354,
          353,
          307,
          289,
          230,
          205,
          196,
          183,
          138,
          98,
          96,
          54,
          45,
          40,
          33,
          30,
          28,
          26,
          19,
          10,
          7,
          6,
          5,
          4,
          1
         ]
        }
       ],
       "layout": {
        "geo": {
         "lakecolor": "rgb(255, 255, 255)",
         "projection": {
          "type": "albers usa"
         },
         "scope": "usa",
         "showlakes": true
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "UFO Sight Rates from USA"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make a USA UFO Sighting map\n",
    "states_us = ufo_df[ufo_df.country == \"us\"][\"state\"].value_counts().index\n",
    "states_ratio = ufo_df[ufo_df.country == \"us\"][\"state\"].value_counts().values\n",
    "states_us = [i.upper() for i in states_us]\n",
    "\n",
    "data = [\n",
    "    dict(\n",
    "        type='choropleth',\n",
    "        locations=states_us,\n",
    "        z=states_ratio,\n",
    "        locationmode='USA-states',\n",
    "        text=\"times\",\n",
    "        marker=dict(\n",
    "            line=dict(\n",
    "                color='rgb(255,255,255)',\n",
    "                width=2\n",
    "            )\n",
    "        ),\n",
    "        colorbar=dict(\n",
    "            title=\"Sight rates by states\"\n",
    "        ),\n",
    "        colorscale='Blues'  # Set the color scale to blue\n",
    "    )\n",
    "]\n",
    "\n",
    "layout = dict(\n",
    "    title='UFO Sight Rates from USA',\n",
    "    geo=dict(\n",
    "        scope='usa',\n",
    "        projection=dict(type='albers usa'),\n",
    "        showlakes=True,\n",
    "        lakecolor='rgb(255, 255, 255)'\n",
    "    )\n",
    ")\n",
    "\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "words = [i for i in ufo_df.comments.dropna()]\n",
    "words = \" \".join(words)\n",
    "\n",
    "wordcloud = WordCloud(\n",
    "    background_color='white',\n",
    "    width=800,\n",
    "    height=400\n",
    ").generate(words)\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.title('Word Cloud of UFO Comments')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <span style='color:dodgerblue; font-weight:bold;'>Inspirations Answers</span>\n",
    "* <b>What areas of the country are most likely to have UFO sightings?</b>\n",
    "\n",
    "    According to our analysis of nationwide data, California (CA) exhibits the highest likelihood of UFO sightings.\n",
    "    \n",
    "* <b>Are there any trends in UFO sightings over time? Do they tend to be clustered or seasonal?</b>\n",
    "\n",
    "    Indeed, we have observed discernible trends in UFO sightings over time. Our analysis, which includes plotting UFO sightings by season, reveals that summer is the predominant season for such sightings.\n",
    "\n",
    "* <b>Do clusters of UFO sightings correlate with landmarks, such as airports or government research centers?</b>\n",
    "\n",
    "    No, our comprehensive analysis, including the examination of comments through a word cloud feature, indicates a lack of significant correlation between clusters of UFO sightings and prominent landmarks such as airports or government research centers.\n",
    "\n",
    "* <b>What are the most common UFO descriptions?</b>\n",
    "    According to the word cloud analysis, prevalent UFO descriptions include terms such as \"sky,\" \"light,\" \"saw,\" \"white,\" and other related expressions.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}