Creating a 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 the previous videos, we have started analyzing Life Expectancy vs GDP by using a Bubble chart. Gapminder data is about all the countries over the years and their GDPs, life expectancy, and population. In this video, we will create a Facet Plot using Plotly to analyze the data for different continents separately, and we will also understand the important parameters within Facetplot. Facet plots, also known as trellis plots or small multiples, are figures made up of multiple subplots with the same set of axes, where each subplot shows a subset of the data.
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