Make plots for training data

[rchang0501]

Description

The goal of this ticket is to help visualize the training data. This will be used in our CUCAI paper.

The data we will try to visualize is stored at this path: data/training/quarterly-6-by-6

Example

The result should be something like this:

Specifications

Using the same general format above make the following modifications

• x axis would be quarters instead of months. So the values should just be quarter 1, quarter 2, quarter 3, quarter 4
• y axis will be the parameter (weather or satellite burn)

This means in total we'll have 6 graphs

1. precipitation vs quarters
2. temperature vs quarters
3. relative_humidity vs quarters
4. wind_direction vs quarters
5. wind_speed vs quarters
6. hectare areas burned vs quarters

Example of temperature vs quarters

Notes

• each box plot for a quarter is the distribution over the years. That means Q1 corresponds to group 1, 5, 9, ..., 21. Q2 corresponds to group 2, 6, 10, ..., 22
• for the box plots use a library - I think I've used seaborn for these before but feel free to use whichever you feel best!