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A web application that provides insights into the Australian Data job market.

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Project 2: Data Jobs

A web app with interactive visualisations

Team members:

  • Amil Walgamage
  • Jamie Tan
  • Tas Tudor
  • Babette Blanquet

Project Summary: This project provides insights into the Australian Data job market. You can check our Data Jobs app on Heroku.

Project Problem Statement: There is not a specific jobs portal for data professionals.

Desired Outcome: To build a live portal to provide current information and job listings to prospective data professional job seekers.

App

How to read our code:

The repository contains the following folders: Data folder which contains the ETL solution on a Jupyter Notebook Presentation folder contains the powerpoint presentation

Flask application related files in the main Project_2 folder.

  • app.py is the flask app which renders the data from the database
  • config.py which contations configurations
  • Procfile for Heroku deployment cnfigurations
  • requirements.txt with all the requirements for deployment on Heroku
  • a folder templates where sit the three webpages: index.html for the home page, about.html, team.html
  • a folder static where sit: css/font/img/js/sass

In the js folder, you will find:

  • config.js - app with passwords
  • logic.js - code with the js functions rendering the visualisations
  • script.js

In the sass folder:

  • the scss files for the header and footer's fonts library.

Snapshot of the toolbox used to build our app:

workflow

The visualisations:

The visualisations update based on the selection of two filters:

  • jobs
  • states

An interactive map with the number of jobs and their locations:

Map

The number of job ads per weekday:

jobAdsWeekday

Word Cloud:

WordCloud

Salary Benchmark:

Benchmark

Correlation between IT Salaries and underemployment rate:

ITsalaries

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A web application that provides insights into the Australian Data job market.

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