By the end of this project, you will learn to use data Exploration techniques in order to uncover some initial patterns, insights and interesting points in your dataset. We are going to use a dataset consisting 5 CSV files, consisting of the data related to players in FIFA video game. We will clean and prepare it by dropping useless columns, calculating new features for our dataset and filling up the null values properly. and then we will start our exploration and we'll do some visualizations.
FIFA20 Data Exploration using Python
Taught in English
Instructor: Ahmad Varasteh
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(55 reviews)
What you'll learn
Learn the steps needed to be taken in order to prepare you dataset for data exploration
Learn to use data exploration and visualization to uncover initial pattern in your data
Learn to use plotly module
Skills you'll practice
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Guided Project
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
importing FIFA20 players dataset and take a look at the columns
prepare our dataset for Data exploration by dropping useless columns and calculating new features
Plotting a scatter plot to see the relationship between the Overall ratings and age of the players and their price
Plotting a pie chart to see the proportion of right-foot players and left-foot players
Creating a method to plot a Scatterpolar for comparing a Players growth over Time
Creating a method to pick top 5 player based on a the player position and the player value in euro
Recommended experience
Learners should have familiarity with python programming language and having a little experience working with Jupyter notebook.
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Available only on desktop
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