https://github.com/mastercruelty/gokart-data-hub

It manages data about gokart races and plot graphs about your times!
https://github.com/mastercruelty/gokart-data-hub

data-analysis-python data-science data-visualization gokart matplotlib pandas race

Last synced: 2 months ago
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It manages data about gokart races and plot graphs about your times!

• Host: GitHub
• URL: https://github.com/mastercruelty/gokart-data-hub
• Owner: MasterCruelty
• License: mit
• Created: 2023-11-19T21:57:45.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-07T23:18:37.000Z (6 months ago)
• Last Synced: 2025-03-29T02:51:29.229Z (3 months ago)
• Topics: data-analysis-python, data-science, data-visualization, gokart, matplotlib, pandas, race
• Language: Python
• Homepage:
• Size: 65.4 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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# gokart-data-hub

# What is it?

A simple tool made in python with pandas and matplotlib, which analyzes a csv containing gokart data about your races. Then it will plot a few graphs to show better your trend throught the years.

### Contribute

Feel free to contribute and improve the project. You can read the guidelines to contribute [here](https://github.com/MasterCruelty/gokart-data-hub/blob/main/CONTRIBUTING.md)

# Libraries used

* pandas

* matplotlib

* seaborn

# Data description

![image](https://github.com/MasterCruelty/gokart-data-hub/assets/72561502/43028072-b3cf-4ea0-8a01-9b2308c0b923)

* date: when the race was held

* kart-type: if is a fuel kart or an electric one.

* race-type: if it's a free laps session or a real race.

* position: Position Conquered.

* track-type: if it's indoor or outdoor track.

* condition: track condition(rained, standard, cut-track, full-track)

* kart-type: motor power.

* avg-speed: average speed during the race.

* best-time: best of all times in that race.

* avg-time: average time during the race.

* best-time(TIME) and avg-time(TIME): just for cute visualization of times but terrific to manage in python.

The last info mentioned about data is a limit for the graphic visualization. That's because you're gonna see on the something like "54" or "54,2" instead of a more beautiful data such as "00:54:483".


Any hint or help is appreciated, read more about contributing below on this readme.

# Usage

Launch the program by typing the following command.

```ruby

python kart-analytics.py

```


The main menu looks like this:


![image](https://github.com/MasterCruelty/gokart-data-hub/assets/72561502/266dc479-72e3-4372-8fe4-01dbcfb41a94)


For example we choose option 4, the following chart is the output:


![image](https://github.com/MasterCruelty/gokart-data-hub/assets/72561502/427f9f33-f9f6-4d56-9429-5667831adb9b)

This is the linear regression of all best time that I did in Dromokart track.