Gapminder Dataset Analysis | Plotly Python | Plotly Tutorial | Codegnan
Analyzing Gapminder Dataset using Python
Data analysis is the methodology of gathering data and processing it to get valuable insights. Python is used primarily for performing Data Analysis. One of the main factors why it is used for the analysis of data is the excellent Python ecosystem. There are tons of data-centric Python packages that make data analysis a lot quick and convenient. Different Visualization Libraries like Matplotlib, Seaborn can be used for plotting static graphs.
In this project, we will work on Plotly as it is a data plotting library with a clean interface designed to allow you to build your APIs.Using Plotly, we can plot Interactive graphs, add filters, add animations, and do many cool things with it. We will be analyzing the gapminder dataset. Gapminder data is the data about all the countries over the years, their GDPs, and also life expectancy, population
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