In this part, we pose and answer some interesting questions on the data. We provide inferences from the analysis in the end.
Part 1 and 2 are all available on the blog.
Exploratory Data Analysis and Visualization of the FIFA World Cup Dataset containing World Cup data from 1930 to 2014.
This is part 2 of 3 articles. Visit the blog to read the other two articles.
This project aims to explore the FIFA World Cup dataset for interesting insights and answer some questions at the end. For this, will use Pandas and Numpy to analyse the data and Seaborn and Matplotlib for the visualization. In the end, we will pose and answer some questions, providing explanations and graphs where necessary.
This is the first part of three. You can check the blog to read the other two.
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