Tinderlytics is a script that allows you to analyze Tinder data. It provides a graphical user interface (GUI) that displays various visualizations and calculations based on the provided Tinder data.
- Find correlations between different variables in the Tinder data.
- Create histograms to visualize the distribution of swipes over 7-day and 30-day intervals.
- Calculate and visualize the match rate over 7-day intervals.
- Calculate the total number of swipes (likes and passes).
- Browse through different folders to select the desired Tinder data for analysis.
To use Tinderlytics, follow these steps:
-
Clone the repository:
$ git clone https://github.com/Sentexi/Tinderlytics.git
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Change into the
Tinderlytics
directory:$ cd Tinderlytics
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Install the required dependencies:
$ pip install -r requirements.txt
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Start the script by running
main.py
:$ python main.py
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The GUI window for file exploration will appear. Browse through the folders to locate the Tinder data you want to analyze.
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Double-click on a folder to open the data exploration GUI window. Use the provided buttons to perform various analysis tasks.
Tinderlytics requires the following dependencies:
- Python 3.7.0 or higher
- Matplotlib
- Pandas
- Tkinter
These dependencies will be automatically installed during the installation process.
Contributions to Tinderlytics are welcome! If you encounter any issues or have suggestions for improvements, please open an issue in the repository. Honestly at this point I'm happy if someone can make anything out of this code.
Tinderlytics is licensed under the MIT License. Feel free to use, modify, and distribute this script according to the terms of the license.