Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 1 row and is filtered where the books is Successful selling in a week : how to excel in sales in seven simple steps. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 1 row and is filtered where the books is How to turn customer service into customer sales. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 2 rows and is filtered where the books is Sales promotion : how to create, implement & integrate campaigns that really work. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is LinkedIn for business : how advertisers, marketers, and salespeople get leads, sales, and profits from LinkedIn. It features 7 columns including author, publication date, language, and book publisher.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Gufhtugu Publications Dataset Challenge’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/zusmani/gufhtugu-publications-dataset-challenge on 13 February 2022.
--- Dataset description provided by original source is as follows ---
This is the one of its kinds book sales dataset from Pakistan. It contains 20,000 book orders from January 2019 to January 2021. The data was collected from the merchant (Gufhtugu Publications www.Gufhtugu.com) who are partner in this research study. There is a dire need for such dataset to learn about Pakistan’s emerging e-commerce potential and I hope this will help many startups in many ways.
Geography: Pakistan
Time period: 01/2019 – 01/2021
Unit of analysis: E-Commerce Orders
Dataset: The dataset contains detailed information of 200,000 online book orders in Pakistan from January 2019 to January 2021. It contains order number, order status (completed, cancelled, returned), order date and time, book name and city address. This is the most detailed dataset about e-commerce orders in Pakistan that you can find in the Public domain.
Variables: The dataset contains order number, order status, book name, order date, order time and city of the customer.
Size: 1.5 MB
File Type: CSV
I like to thank all the startups who are trying to make their mark in Pakistan despite the unavailability of research data. Thanks to Gufhtugu Publications (www.Gufhtugu.com) for allowing me to run this challenge.
I’d like to call the attention of my fellow Kagglers to use Machine Learning and Data Sciences to help me explore these ideas:
• What is the best-selling book? • Visualize order status frequency • Find a correlation between date and time with order status • Find a correlation between city and order status • Find any hidden patterns that are counter-intuitive for a layman • Can we predict number of orders, or book names in advance?
--- Original source retains full ownership of the source dataset ---
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CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains digitized sales ledgers from Gumpert's bookshop in Gothenburg, one of the most prominent bookshops in Sweden during the nineteenth century. Like most major bookshops at the time, Gumpert’s bookshop primarily sold books on credit, and consequently, the bookshop had to keep a record detailing all the returning customers’ purchases. In most cases each customer was assigned a page in the sales ledgers and the purchases were listed in chronological order. The customers’ name, profession or title, and residence location were scribbled on top of the page. The Gumpert ledgers are comprised of 48 volumes, one volume per year from 1870 to 1917, each containing between 900 and 1,200 pages. They record nearly a million purchases. The present dataset contains material from 1870–1900 and consists of photographs of the original documents (in .jpg format) as well as transcriptions of a 10 % sample of the ledgers from 1879–1890 (in .txt /.pdf /.xlsx format), listing in all over 18,000 purchases. The dataset was created in association with the Scandinavian Moment in World Literature project and formed an important empirical source for my doctoral dissertation «Modern Reading: Swedish Book Consumption during the late nineteenth century» and my article Hansen, H. (2017). Buying and Borrowing Books: Book Consumption In Late Nineteenth-Century Sweden (pp 121-154). Papers of The Bibliographical Society of Canada, 54(1-2). https://doi.org/10.33137/pbsc.v54i1-2.25614.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Redbook Index in the United States increased by 4.50 percent in the week ending June 21 of 2025 over the same week in the previous year. This dataset provides the latest reported value for - United States Redbook Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 1 row and is filtered where the books is Successful selling in a week : how to excel in sales in seven simple steps. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.