Hans Rosling’s Famous Animated Chart

Hans Rosling’s animated chart which is also known as the “Gapminder Chart,” is a famous data visualization that gained significant popularity due to its creative approach to presenting complex global data in a visually appealing way. The chart contains multiple variables such as per capita income, life expectancy, and population size of different countries over time. The animated nature of the chart allows viewers to observe changes in the variables as the bubbles represent countries that continuously grow and shrink with time.

How to build Animated Charts like Hans Rosling

Animated charts in R or Animated plots are dynamic visualizations that show changes in data over specified variables like time and others. They allow us to present data in a more engaging and interactive manner like an animation or a GIF, revealing patterns and relationships that might be difficult to observe in static plots.

To create animated charts in R Programming Language, there are several packages available like gganimate, plotly, and ggplot2. These packages provide functionalities to generate animated plots from static visualizations.

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Hans Rosling’s Famous Animated Chart

Hans Rosling’s animated chart which is also known as the “Gapminder Chart,” is a famous data visualization that gained significant popularity due to its creative approach to presenting complex global data in a visually appealing way. The chart contains multiple variables such as per capita income, life expectancy, and population size of different countries over time. The animated nature of the chart allows viewers to observe changes in the variables as the bubbles represent countries that continuously grow and shrink with time....

Animating Gapminder Dataset

The Gapminder dataset is a widely used dataset in the field of data visualization. It contains socio-economic indicators for various countries over multiple years. The gap minder library in R makes it easy for us to access and manipulate this dataset without the need to manually download it in order to start working. It contains different datasets in the form of a dataframe also called a tibble. The main attraction is the “gapminder” dataframe, others include continent_colors, country_codes, country_colors, and gapminder_unfiltered dataframes.In order to install gapminder the library, we need to type the following in R console: –...