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Table of Content

Bundesliga

It is a project to analyze the basic statistics of the Bundesliga, there is information on the participating teams from the 1999-2000 season to 2022-2023, for which there are two files: Bundesliga.csv and de.csv See Bundesliga

Description

A work of building an interactive dashboard to provide insights about Bundesliga Results by Master in Digital Sciences from the Digital Sciences Track of Université Paris Cité.

Datasets

The Bundesliga.csv file has 15 columns and 433 rows, with the following information per column:

  • Club: Name of Club.(German Language)
  • Season: Period of season.
  • Position: Season ending position.
  • Win: Victories achieved during the season.
  • Draw: Draws achieved during the season.
  • Loss: Losses achieved during the season.
  • GF: Goals for scored during the season.
  • GC: Goals against conceded during the season.
  • GD: Goals difference during the season.
  • Points: Ponts earned during the season.
  • Q or R: Qualification for international cup or team relegation zone.
  • State: State of the German federal republic to which the club belongs.(German Language)
  • Pokal: Champion and runner-up of the German Cup.
  • Location: Municipality in which the club's stadium is located.
  • Stadium: Name of the stadium where the club plays.

The de.csv file has 9 columns and 487 rows, with the following information per column:

  • city: city
  • lat: latitude
  • lng: longitude
  • country: country
  • iso2: State of the German federal republic to which the city belongs.
  • admin_name: Name of the city
  • capital: city type category ("primary" = country capital, "admin" = regional capital, "minor"= metropolitan city, "" = city)
  • population: population of the city.
  • population_proper: population of the city.

Installation Requirements

  • Download Zip
Code - Download ZIP
  • Clone this repository with this command
git clone https://github.com/Eli-2020/Bundesliga.git
  • Install the project dependencies run pip install -r requirements.txt
pip install -r requirements.txt
  • Requirements includes:
pandas == 1.5.3
streamlit==1.19.0
plotly==5.0.0

To run the streamlit code

streamlit run Pj-Bundesliga.py

Licensing

License: MIT

Author: