Table of Content

• Bundesliga
  • Description
  • Datasets
  • Installation requirements
  • Licensing
  • Author

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-2023.csv and DE-2023.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-2023.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 Bundesliga-2023.csv file has 20 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

Author:

• Eliseo Baquero @Eli-2020