Data Viz using plotly: Project Overview

plotly for data visualization.
Data analysis of gapminder dataset.
Novel ways of presenting global statistics.

Code and Resources Used

Python Version: 3.7
Packages: plotly

Dataset: gapminder

Variables: country, continent, year, life expectancy at birth (lifeExp), total population (pop), per-capita Gross domestic product (gdpPercap), ISO 3166-1 country codes (iso_alpha).

Data Viz

Data visualization using plotly.

Life expectancy vs per-capita GDP

Emulation of Hans Rosling's most famous plot using plotly.

plotly.mp4

2007

Per-capita GDP vs life expectancy in 2007.

African countries have lower per-capita GDP and life expectancy than the rest. In Asia, many countries have low per-capita GDP althought they have high life expectancy. Norway is the country with the highest per-capita GDP and a life expectancy of 80 years old. Iceland is the country with the highest life expectancy (82 years old).

Life expectancy in 2007 in a geomap.

Argentina

Histogram of total population in Argentina coloured by life expectancy.

Argentina in global trends.