Introduction

In this document, I analyze player statistics from FIFA 19.

Required Packages

The following packages are necesary to view the FIFA 19 information.

Package Explanation
tidyverse For all things tidy
readr For reading the csv file
DT To display some data using Data tables
knitr For introducing R and HTML together
rmdformats For ready-to-use R Markdown

My Data

The file contains 89 attributes for each player, including ratings for specific soccer skills like Passing and Goal Kick Accuracy.

Sample Data

Here is a sample of the data contained within the file.

Part 1: Filtering FIFA19 Data

We can use the following data table to compare stats for players over the age of 30:

Ratings by Nation

The following table shows the average overall rating for players by country arranged by the country with the most number of players.

Overall Rating vs. Shot Power

Shot Power is the force with which a player is able to kick a ball. I am interested to know whether a higher Shot Power means a player receives a higher Overall Rating. Based on the chart below, not necessarily. However, once a player reaches Shot Power higher than 50, the Overall Rating begins to increase.

Facetted Data