This report used a database kernel from Kaggle, and the original file can be found here.
The dataset belongs to "The Bread Basket" a bakery located in Edinburgh. The dataset has 21293 entires, over 6000 transactions and 4 columns:
- Date: Categorical variable that tells us the date of the transactions (YYYY-MM-DD format).
- Time: Categorical variable that tells us the time of the transactions (HH:MM:SS format). Transaction: Quantitative variable that allows us to differentiate the transactions. The rows that share the same value in this field belong to the same transaction, that's why the data set has less transactions than observations.
- Item: Categorical variable with the products.
These are the following packages used in this project;
- Pandas
- Numpy
- Matplotlib.pyplot
MIT