Adding Animations to Bubble Chart using Plotly
Gapminder data is about all the countries over the years and their GDPs, life expectancy, and population. We will be using one of the well-known Online Interactive Visualization Library - Plotly. In the previous videos, we have understood some of the key points from the Gapminder dataset, and we have also created a bubble char and facet plot using Plotly. Data visualization is an important skill to possess for anyone trying to extract and communicate insights from data. In the field of Machine Learning, visualization plays a vital role throughout the entire process of analysis. Python has some of the most interactive data visualization tools.
In this video, we will understand how to add animations to our Bubble chart to analyze GDP per capita vs Life Expectancy over the years continent-wise. Accordingly, we can play the video kind of effect.
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