Online shopping data sets

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Online Shoppers Purchasing Intention Dataset Data Set

- If you have questions about this dataset, you can reach out to us directly at open. Data @m Full blog post can be found on Tech @ Instacart Instacart Express. Leung c, Tao Li, Expert Systems with Applications, 42 (2015) 33573367. Nominal, the name of the country where each customer resides. Many customers of the company are wholesalers. Number of Instances: 541909, area: Business, attribute Characteristics: Integer, Real, number of Attributes: 8, date Donated, associated Tasks: Classification, Clustering. Download dataset (200MB if you make use of this dataset, please use the following citation: The Instacart Online Grocery Shopping Dataset 2017, Accessed from on date If you have questions about this dataset, you can reach out to us directly.

UCI Machine Learning Repository: Online Retail Data Set

- Predict the online sales of a consumer product based on a data set of product features. Actual transactions from UK retailer. Tech @ Instacart, express membership autorenews after 14-day trial. N/A, number of Web Hits: 51822, source: Source. Online Shoppers Purchasing Intention Dataset Data Set. Nominal, a 5-digit integral number uniquely assigned to each distinct product. Numeric, Product price per unit in sterling. The "Bounce Rate "Exit Rate" and "Page Value" features represent the metrics measured by "Google Analytics" for each page in the e-commerce site. Yomi Kastro, inveon Information Technologies Consultancy and Trade, 34335 Istanbul, Turkey, data Set Information: The dataset consists of feature vectors belonging to 12,330 sessions. The dataset is provided as-is for non-commercial use and is subject to our.

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- Our Team Terms Privacy Contact/Support. Online Shoppers, purchasing Intention, dataset Data Set, download : Data. StockCode: Product (item) code. The dataset also includes operating system, browser, region, traffic type, visitor type as returning or new visitor, a Boolean value indicating whether the date of the visit is weekend, and month of the year. Attribute Information: InvoiceNo: Invoice number. Department of Computer Engineering, Faculty. The value of this attribute is determined by considering the dynamics of e-commerce such as the duration between the order date and delivery date. The values of these features are derived from the URL information of the pages visited by the user and updated in real time when a user takes an action,.g. Chend, School of Engineering, London South Bank University, London SE1 0AA,.

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- Folder, Data Set, description Abstract : Of the 12,330 sessions in the dataset,.5 (10,422) were negative class samples that did not end with shopping, and the rest (1908) were positive class samples ending with shopping. Online, retail, data Set, download: Data. Quantity: The quantities of each product (item) per transaction. Number of Attributes: 18, date Donated, associated Tasks: Classification, Clustering, missing Values? For information about the contents of the files, see this data dictionary. Full blog post can be found. Engineering and Natural Sciences, Bahcesehir University, 34349 Besiktas, Istanbul, Turkey. Relevant Papers: Sakar,.O., Polat,.O., Katircioglu,.

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- Folder, Data Set, description. Abstract: This is a transnational data set which contains all the transactions occurring between and for a UK-based and registered non- store online retail. The "Special Day" feature indicates the closeness of the site visiting time to a specific special day (e.g. Download : Data Folder, Data Set Description, abstract : Of the 12,330 sessions in the dataset,.5 (10,422) were negative class samples that did not end with shopping, and the rest (1908) were positive class samples ending with shopping. Moving from one page to another. Nominal, a 6-digit integral number uniquely assigned to each transaction. The value of "Bounce Rate" feature for a web page refers to the percentage of visitors who enter the site from that page and then leave bounce without triggering any other requests to the analytics server during that session. N/A, number of Web Hits: 428763, source: Dr Daqing Chen, Director: Public Analytics group.

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- TechXact is a global leader in providing quality and expert-driven data center professional services. It takes a couple of minutes to find a dating website that suits all your needs. A decision-making framework for precision marketing, Zhen You, Yain-Whar Si, Defu Zhang, XiangXiang Zeng, Stephen.H. Numeric, the day and time when each transaction was generated. Data Set Characteristics: Multivariate, number of Instances: 12330, area: Business, attribute Characteristics: Integer, Real. The 'Revenue' attribute can be used as the class label. The "Page Value" feature represents the average value for a web page that a user visited before completing an e-commerce transaction. Description: Product (item) name.

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- Warrington m is a Best, dating, club. Data Center, infrastructure courses cover the primary resources in the data center space, power and cooling. Citation Request: Daqing Chen, Sai Liang Sain, and Kun Guo, Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. The value of "Exit Rate" feature for a specific web page is calculated as for all pageviews to the page, the percentage that were the last in the session. Relevant Papers: The evolution of direct, data and digital marketing, Richard Webber, Journal of Direct, Data and Digital Marketing Practice (2013) 14, 291309. Online Retail Data Set, download : Data Folder, Data Set Description, abstract : This is a transnational data set which contains all the transactions occurring between and for a UK-based and registered non-store online retail. Data Set Characteristics: Multivariate, Sequential, Time-Series. If this code starts with letter 'c it indicates a cancellation. Clustering Experiments on Big Transaction Data for Market Segmentation, Ashishkumar Singh, Grace Rumantir, Annie South, Blair Bethwaite, Proceedings of the 2014 International Conference on Big Data Science and Computing.

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- Rich man looking for older man younger woman. Almost all sex personals are monthly paid subscription sites such as the friend finder network or the cupid plc network with be naughty. Citation Request: If you use this dataset, please cite: Sakar,.O., Polat,.O., Katircioglu,. Mothers Day, Valentine's Day) in which the sessions are more likely to be finalized with transaction. "Administrative "Administrative Duration "Informational "Informational Duration "Product Related" and "Product Related Duration" represent the number of different types of pages visited by the visitor in that session and total time spent in each of these page categories. Data Set Information: This is a transnational data set which contains all the transactions occurring between and for a UK-based and registered non-store online e company mainly sells unique all-occasion gifts. InvoiceDate: Invice Date and time.