This Jupyter Notebook uses the python programming language to create a sales DataFrame, simulating the monthly sales of an electronics store, where the amount of sales in the month, and the quantities of products purchased by each customer, are generated randomly, using the Gaussian distribution and several other methods.
- datetime
- numpy
- pandas
- random
- Install the dependencies;
- Run Jupyter Notebook in terminal to see the code in your browser.