Data vizualitation app in RShiny App for the FIFA19 database
The app can be run from shinyapps.io, click on the following link:
https://avalladares-vaquero.shinyapps.io/FIFA19-Database-Visualization/
App description.
This R Shiny app contains the visualization of the FIFA19 videogame complete database. You can find a brief summary in the following lines:
The data set is the complete DB of the FIFA19 game, which can be downloaded from: https://www.kaggle.com/karangadiya/fifa19
The database comprises over 18,000 players from all around the globe. Each player has more than 80 features.
To simplify the dataset I have drop some columns that are not relevant for the visualization (e.g. some features that the game uses for its internal game mechanics).
I divided the app in three tabs:
- The first one, represents an overall database scatter plot , where you can compare different features, and see if you can get any insight of any relationship.
-NB: how the value and wages increase exponentially with the Overall quality
-It is clearly noticeable that some of the best players (the so-called 'franchise players') are overvalued with respect other outstanding players
-Is interesting to compare physical characteristics like weight, or height with performance attributes
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The second one is a radar plot comparison typical of this kind of games, where you can can search for two players and compare them visually
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Is a Leaflet interactive choropleth world map coloured by Average Overall and Number of Players per country