In this kernel, I would like to show some descriptive analysis of 'Olist Store' from Brazil. This data contains 100k orders information between 2016-2018.

Above analysis made by orders, geolocation, payments, seller, and products datasets. The aim of this project is finding the Top 10 products and sellers, analysis of orders by their geolocation and obtain information about Brazilian's online e-commerce profiles.

Above map shows the location of purchased product orders and according to the distribution of populations, it explains the highest shopping rate on the east coast.

The above graph shows the number of product orders purchased based on the states. According to that, São Paulo has the highest rate and there is a huge gap between the rest of the states.

Above graph shows that the earliest and latest deliveries. According to that, we can say that all deliveries made before their estimated date.

• The earliest deliveries have been made in October. It means that this month is the least intensive period in those years.
• Latest deliveries have been made at the end of June and beginning of August. It means that this time is the most intensive period in those years.

The above graph shows the Top 10 products. Top 3 products have a significant difference from the others. Because of the data information, we can't say about what are these products. But we can assume about their category.

Above pie chart shows the Top 10 Seller. First 3 sellers have close proportions.

Above graphs show the top products and top sellers category. While most selling product item belongs to the moveis_decoracao, most seller item belongs to ferramentas_jardim.