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This project is my final project for Data Analysis course in Vilnius Coding School (November 2020)

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meksriunaitesandra/gender_statistics

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Some differences between genders in Lithuania and other countries

Structure of project documents

  • File with project code is named 'gender_differences.ipynb'
  • Data and metadata files are available in directory data

About the data

Source

Data for the project was taken from World Bank Database. Link: https://databank.worldbank.org/source/gender-statistics

Contents of data

  • Year (every 5 year from 1960 to 2015, plus last year available)
  • Countries (3 Baltic countries and Ukraine, Belarus, Russian Federation, Poland; also groups of low, middle and high income countries)
  • Indicators (in general population and/or by gender):
    • Life expectancy (at birth)
    • Birth and death rates, crude
    • Natural population change (calculated)
    • Fertility
    • Suicide rates
    • Employers
    • Age at first marriage
    • Rural population (%)
    • Saved any money last year
    • Smoking prevalence
    • Alcohol consumption

Structure of project

I. Data import II. Data cleaning and preparing for visualisations III. How do Lithuania look among other countries by general indicators? IV. What are the differences between men and woman in various countries? V. Conclusions

Data in Sections III and IV is compared visually in lineplots and scatterplots. Examples are shown in Figures No. 1 and No. 2 below.

life expectancy total

Figure 1. Life expectancy at birth (lineplot example)

life expectancy gender

Figure 2. Life expectancy at birth by gender (scatterplot example)

About

This project is my final project for Data Analysis course in Vilnius Coding School (November 2020)

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