This article provides a step-by-step guide for data analysis projects using the Pandas library. It explains how to use Pandas for data manipulation, data cleaning, visualization and exploratory data analysis. The article uses real-world datasets to answer questions such as which talks provoke the most online discussion, which occupations deliver the funniest TED talks on average, and what were the “best” events in TED history to attend. The article also discusses topics such as working with missing data, descriptive statistics, and unpacking rating data.
source update: Data Analysis Project with PandasStep-by-Step Guide (Ted Talks Data) – Towards AI