Data Preparation

[Rontim]

• [x] Ensure the date/time column is in a consistent format (e.g., a datetime object in Python).

• [x] Set the date/time column as the index of your dataset to facilitate time series analysis.

• [x] If there are any missing data points, consider imputing them using appropriate techniques.

[Rontim]

Checkout locally for this issue

   git fetch origin
   git checkout 1-data-preparation

[Rontim]

I ave only dealt wit the first data set. We need to agree ow many we will use

[Mokowz]

Let's use 3 datasets.

[Mokowz]

Let me work on the second dataset.

[Mokowz]

13519, 13619, 13720

[Mokowz]

I've also done the third dataframe. 13720