2019-wid

Extracts of the World Inequality Database.

Content

data/ The data folder
- countries.tsv country codes (Provided)
- income/ income share per country (Provided)
- gdp_growth.tsv Growth of BRICS Countries
- gini.tsv Gini of BRICS Countries
- BRICS_growth_gini.csv Merged gdp_growth and gini files
- income_averages.tsv Income Average of some countries
- income_gini.tsv Gini Index of some countries
- all_income_gini.csv Merged income_averages and income_gini.tsv
- continents.csv Countries by country code, name and continent name
- merged_gini_averageincome.csv Merged file for last data available for each country interms of Average Income and Gini Index
- merged_income_quantiles.csv Merged file for all quantiles data by adding country name and continent name
- merged_quantiles.csv Merged file for all countries with discretized quantiles
- prep.py prep1.py prep2.py prep3.py Added scripts for aggregation and generation of csv files
vendor/ vendorized D3 and Bootstrap libraries
viz/ Visualisations

Visualisations

Radial Stacked Bar Chart

Bubble Chart

Dual Y Axis Average Income Gini

Dual Y Axis Growth BRICS Gini

Data structure

Income data table are given per country. The attributes present in the tables are:

year the year for the data
low the lower bound of the population quantile (from 0. to 1.)
high the upper bound of the population quantile (from 0. to 1.)
width the width of the quntile (high-low)
share the share of the total income captured by this [low, high] quantile
cumul the cumulative share of the quantiles, i.e. the share of [0., high]

Slides

The slides for the presentation are available here and in Google slides here

Project report

The project report is available here

How to run ?

$ git clone https://github.com/Omaroid/InfoVisWorldInequality.git

$ cd ./InfoVisWorldInequality

$ ls

Mode LastWriteTime Length Name

d----- 06/02/2020 22:57 - data
d----- 05/02/2020 20:52 - vendor
d----- 06/02/2020 22:40 - viz
-a---- 07/02/2020 11:27 346945 BubbleChartAvgIncomeGini.gif
-a---- 07/02/2020 13:00 2068564 Info Visulization Presentation.pptx
-a---- 07/02/2020 12:38 93859 Project_Info_Visualization_Report.pdf
-a---- 07/02/2020 01:49 1028410 RadialStackedBar.gif
-a---- 07/02/2020 12:39 2438 README.md
-a---- 07/02/2020 11:26 270676 TwoAxisAvgIncomeGini.gif
-a---- 07/02/2020 11:24 150306 TwoAxisBRICSGini.gif

$ python(3) -m http.server

Serving HTTP on 0.0.0.0 port 8000 (http://0.0.0.0:8000/) ...

You can observe the result by pointing a browser to http://localhost:8000/viz/.