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Advances in information technologies and reductions in the cost of data collection have made individual and organizational data generation and recording an integral part of our lives. We leave information about our location via our phones and apps; r..
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Content
More details about each file are in the individual file descriptions.
Context
This is a dataset from the U.S. Census Bureau hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their i..
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Context
A real online retail transaction data set of two years.
Content
This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The comp..
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Here in this dataset we have supposed to find out the retail sales of the customer
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As retail market becomes extensively competitive, the ability to optimize on serving business processes while satisfying customer expectations has never been more important. Therefore, managing and channelizing data to work towards customer delight a..
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Context
The Challenge - One challenge of modeling retail data is the need to make decisions based on limited history. Holidays and select major events come once a year, and so does the chance to see how strategic decisions impacted the bottom line. ..
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DESCRIPTION
One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. Th..
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Here in this dataset we have supposed to find out the retail pattern between different customers
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Here are the cafe dataset
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Forecast Sales using ARIMA and SARIMA