Analysis of Olist e-commerce dataset

This is an application of a basic analysis of Olist e-commerce dataset. This analysis includes a section to dataset investigation (explore datasets, check columns, rows, some unique values in variables, and another to data visualization (plot histogram, boxplot, and interesting patterns on data). This work is under construction, so suggestions are welcomed! App link

All datasets are available here and on Kaggle.

Description of dataset available on Kaggle:

"This dataset has information about the customer and its location. Use it to identify unique customers in the orders dataset and to find the orders delivery location.

At our system each order is assigned to a unique customerid. This means that the same customer will get different ids for different orders. The purpose of having a customerunique_id on the dataset is to allow you to identify customers that made repurchases at the store. Otherwise you would find that each order had a different customer associated with."

Please refer to the data schema:

References

Also, I used some excellent Kaggle Notebooks to create this:

• Analyzing E-Commerce Dataset
• Simple EDA - Sales and Customer Patterns