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A data analysis application that helps online business owners better manage their products and services.

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MohamedCheour98/Online-Store-Descriptive-Data-Anlytics

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Online Store Analysis

A Java application that collects and analyses data from log files of an e-commerce site.

The program processes the following entries:

  1. StartEntry: records the sessionID and the customerID. This entry refers to the first interaction between the customer and the website.
  2. ViewEntry: records the sessionID, the productID. This entry refers to the first interaction between the customer (identified by the sessionID) and a specific product.
  3. BuyEntry: records the sessionID, the productID, the product price and the quantity purchased. This entry gives the transaction details of a purchase of a product made by the customer.
  4. EndEntry: records the sessionID. This entry signals the end of interaction between the customer and the website.

Various statistics were computed on the collected data such as:

  1. SessionPriceDifference: This statistic allows the website admin to see the price difference between the first time a customer sees a product on a website and the first time the customer actually makes the purchase.
  2. AverageViewsWithoutPurchase: This statistic allows the website admin to see an average of how many times a product was seen by customers without purchasing it.
  3. CustomerItemViewsForPurchaseNumber: This statistic allows the website admin to see the number of views for a purchased product by a specific customer.

The application then populates a data structure and displays all the results in a table enabling the admin to read it easily.

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A data analysis application that helps online business owners better manage their products and services.

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