Python🐍 Data Viz Project - Part 1
In this video, I will be exploring the stats of different clubs and players in the EPL 2020-2021 season. I will use Python libraries such as matplotlib, seaborn, and pandas to analyze the data. We will start by importing the necessary libraries and reading the dataset. Then, I will show you the head of the data frame and explain the different columns. Next, we will count the number of players in each club and visualize the distribution using a bar plot. After that, we will analyze the distribution of players' age across clubs using a histogram. We will also explore the distribution of player positions and nationalities. Finally, I will demonstrate how to create interactive visualizations using Plotly. Join me in this data exploration journey!
00:00 Introduction and Importing Libraries
00:55 Reading and Understanding the Dataset
02:41 Exploring Club Counts
05:20 Visualizing Club Counts
08:42 Analyzing Age Distribution
10:08 Analyzing Age Distribution Across Clubs
14:25 Analyzing Player Positions
18:24 Analyzing Player Positions Across Clubs
20:16 Analyzing Goals by Age and Squad Position
22:57 Analyzing Goals by Age
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