This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.
See the LICENSE file for details.
The "main.py" file is utilised to Load, Clean, Transform, Design, Style, and Visualise the data through the library of functions in src/.
Presets for axes data, titles, graph types, index columns, dataset filepath, and excluded data are all located in config/presets.yaml. You can create your own preset and then switch to it at the bottom of main.py.
Other than that, colour palettes can also be modified through config/config.py and you can look at different palettes at -> Seaborn Colour Palettes
The src/ functions will be carried over to each new Data Science Project I make, allowing more features and configurations.
these 'planned features' may be introduced in later projects other than this one
Plot Presets- Linear Extrapolation (Prediction)
- Summary Statistics
- Box Plot of Displayed Graph
- Jupyter Notebook eventually??
I don't plan to make much more additions to this project other than creating presets for main.py.