Question
In kaggle.com there is a Brazilian ecommerce public dataset of orders of Olist Store. Go to following link and download the dataset. https://www.kaggle.com/olistbr/brazilian-ecommerce. Note that
In kaggle.com there is a Brazilian ecommerce public dataset of orders of Olist Store. Go to following link and download the dataset. https://www.kaggle.com/olistbr/brazilian-ecommerce. Note that the data is distributed to mulitple csv files. Using this dataset do the following analysis. We have the information about the city information for both customers and sellers for each order. Use this information find the top-10 cities having the most order as customer city and as a seller city. You should plot result in one bar plot as given below. The function in your solution should take folder of the dataset as the input. Hint: When merging files you can use the following order: data=pd.merge(pd.merge(pd.merge(pd.merge(pd.merge(order_items,products),product_translation),or ders),sellers),customers)
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