FIFA 19 Player Data Analysis

A data web-app built using StreamLit, that gives insights on the stats of the players from FIFA 19 Player Data Dataset.

Visualization of FIFA 2019 Player Ratings on World Map with R, by Emre Rençberoğlu

Fifa19 Player Data Analysis - Notebook by Gaurav Bisht (gauravbisht005)

GitHub - gauravbisht005/FIFA-19-Player-Data-Analysis: It is a data analysis project using Python in which I performed data cleaning, data preparation, data analysis and visualisation on the dataset. Having performed these operations, it concluded

FIFA-19---Career-Mode-Cheat-Table/README.md at master · xAranaktu/FIFA-19---Career-Mode-Cheat-Table · GitHub

Comparisonator - In-depth Analysis of Top 5 Big Leagues 2021/22 Season

21 FIFA 19 Explanatory Model Analysis

Exploratory Data Analysis of the FIFA 19 Dataset in Python, by Sadrach Pierre, Ph.D.

FIFA 19 DS & ML Applications - 2020 Shiny Contest Submission - Shiny Contest - Posit Community

21 FIFA 19 Explanatory Model Analysis

GitHub - minchi19/FIFA-19---Exploratory-Data-Analysis: This repository contains various data analysis projects implemented in Python3.

FIFA19 Exploratory Data Analysis Football Data - Python

Pitch Notes: Traits, Specialties, and Save Styles

FIFA 2014 World Cup Data Analysis with Power BI - RADACAD