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A course work in the discipline Data Analysis in Information Systems on the topic Formula 1 Championship. The purpose of the work is to analyze data on seasons, grand prix, practices, qualifications, sprints and races, as well as to predict their results using the collected data.

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zagrebelnio/F1-Championship-Data-Analysis

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F1-Championship-Data-Analysis

Usage

  1. Create .env file and fill it as in .env.example
  2. Execute everything in /storage/scripts/creatt_storage.ipynb
  3. Execute everything in /storage/scripts/dimension_tables.ipynb

Datasets

This project uses datasets from the F1DB database.

Data Storage Schema

Schema Link

Contributing

Creating pull requests

<type>: <ticket-title> <project-prefix>-<issue-number>

Full list of types

Example:

  • `feat: add race results visualization cw-8

Creating branches

<issue-number>-<type>-<short-description>

Examples:

  • 8-feat-add-race-results-visualization
  • 10-fix-empty-data

Commiting

Use Conventional Commits

<type>: <description>

Examples:

  • feat: add championship order graphic
  • fix: prediction model params

About

A course work in the discipline Data Analysis in Information Systems on the topic Formula 1 Championship. The purpose of the work is to analyze data on seasons, grand prix, practices, qualifications, sprints and races, as well as to predict their results using the collected data.

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