A simple exploratory exercise looking at some data from the Gapminder Foundation

My visualization is based on the countries of the world described by GDP of the country and the life expectancy of the people in that particular year. The visualization describes the change in life expectancy and GDP with respect to the population of the countries. I have used Python visualization libraries for combining two dataset and d3.js fo…

Exploratory Data Analysis - R, Statistical methods, Time Series

Investigate data set project

Using Gapminder data to examine global trends in Democracy, GDP, HDI and Urban Population over the course of four decades.

Make Gapminder-style synthetic datasets

Investigate per capita CO2 data from Gapminder.

Udacity DAND Project - Investigate a dataset about years in school for women

This module contains code for the following, 1.)Animation application showing percent of countries achieveing SDGs across regions under SSP2, across times using the classic gganimate package along with the geom tile package. The user can choose any of the 9 SDGs. The code will create an interactive shiny application that allows a user to select …

Analysis of datasets from "Gapminder World" to gain insights into countries' environment and economy from their consumption of energy. The analysis covers steps ranging from gathering and wrangling data to EDA and drawing conclusions.

My objective is to identify the impact of GDP growth on four metrics of human well-being: Income, Human Development Index (HDI) and Life Expectancy. In this investigation, I used four data sets from the Gapminder to identify trends of the change in GDP over time as well as other indicators according to different countries and regions of the world.

A JavaFX application to analyze Gapminder data in charts, using MySQL and C3/D3 chart libraries.

Animated scatterplot demonstrating the change in life expectancy over time.

Analysis of Gapminder World data

An animated visualization of GDP per capita vs. life expectancy; completed as a project for a Harvard class on data science in R

Interactive plots of Gapminder data using Bokeh

A basic ioslides presentation containing an interactive plot of the gapminder dataset created with plotly in R

Any data but iris 👁