Sales Prediction for Big Mart Outlets
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and predict the sales of each product at a particular outlet.
Using this model, BigMart will try to understand the properties of products and outlets which play a key role in increasing sales.
Please note that the data may have missing values as some stores might not report all the data due ..
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More details about each file are in the individual file descriptions.
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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 information according the amount of data that is brought in. Explore the U.S. Census Bureau using Kaggle and all of the data sources available through the U.S. Census Bureau organization page!
Update Frequency: This dataset is updated daily.
Acknowledgements
This dataset is maintained using FRED's API a..
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Daily price data for indexes tracking stock exchanges from all over the world (United States, China, Canada, Germany, Japan, and more). The data was all collected from Yahoo Finance, which had several decades of data available for most exchanges.
Prices are quoted in terms of the national currency of where each exchange is located.
Acknowledgements
Data collected from Yahoo FinancePhoto by Jason Leung on Unsplash
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As a huge LOTR fan, I was excited to have acquired this character data from the Lord of the Rings Wiki. I scraped this data using F#; the repository can be found here: https://github.com/MokoSan/FSharpAdvent.
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Data consists of character names, the url in the wiki and the respective race.
Acknowledgements
Wouldn't have been able to publish this data set unless it was for the work done by the great people of the wiki page.
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The problem that the retail industry often encounters in customer operations is that consumers often make only one purchase, and it is difficult to convert them into closely-connected loyal members. Therefore, it is hoped that consumers' willingness to buy back can be strengthened through marketing activities, so that the connection between merchants and members will be deeper and more stable. We will use the accurate marketing methods reached by data science to carry out accurate campaign launches, so that the marketing campaigns can achieve th..