This is a Brazilian ecommerce public dataset of orders made at Olist Store. The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Its features allows viewing an order from multiple dimensions: from order status, price, payment and freight performance to customer location, product attributes and finally reviews written by customers. Also geolocation dataset relased that relates Brazilian zip codes to lat/lng coordinates.
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This tutorial is in an IPython Notebook for Kaggle Dataset,https://www.kaggle.com/olistbr/brazilian-ecommerce.
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In this repository, some descriptive analyses of 'Olist Store' from Brazil have been shown. The analysis made by orders, geolocation, payments, sellers, and product datasets.
Datasets can be found in below link
https://www.kaggle.com/olistbr/brazilian-ecommerce
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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 with the help of visualization libraries.
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The repository has 2 main topics
- Geo Exploratory
In this section, product orders examined and visualize based on the map.
- Data Exploratory
In this section, Top 10 product, Top 10 seller and payments have been detailed.