Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is a spreadsheet of 1 of 10 companies in the shoe industry. Highlighting COGS, Total Revenue, Market share and Industry share.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Sample data for exercises in Further Adventures in Data Cleaning.
This dataset contains a list of sales and movement data by item and department appended monthly. Update Frequency : Monthly
This dataset contains information about India's Sales of Motor Vehicles for2007-2019.Data from Ministry of Road Transport and Highways.
The Customer Shopping Preferences Dataset offers valuable insights into consumer behavior and purchasing patterns. Understanding customer preferences and trends is critical for businesses to tailor their products, marketing strategies, and overall customer experience. This dataset captures a wide range of customer attributes including age, gender, purchase history, preferred payment methods, frequency of purchases, and more. Analyzing this data can help businesses make informed decisions, optimize product offerings, and enhance customer satisfaction. The dataset stands as a valuable resource for businesses aiming to align their strategies with customer needs and preferences. It's important to note that this dataset is a Synthetic Dataset Created for Beginners to learn more about Data Analysis and Machine Learning.
This dataset encompasses various features related to customer shopping preferences, gathering essential information for businesses seeking to enhance their understanding of their customer base. The features include customer age, gender, purchase amount, preferred payment methods, frequency of purchases, and feedback ratings. Additionally, data on the type of items purchased, shopping frequency, preferred shopping seasons, and interactions with promotional offers is included. With a collection of 3900 records, this dataset serves as a foundation for businesses looking to apply data-driven insights for better decision-making and customer-centric strategies.
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This dataset is a synthetic creation generated using ChatGPT to simulate a realistic customer shopping experience. Its purpose is to provide a platform for beginners and data enthusiasts, allowing them to create, enjoy, practice, and learn from a dataset that mirrors real-world customer shopping behavior. The aim is to foster learning and experimentation in a simulated environment, encouraging a deeper understanding of data analysis and interpretation in the context of consumer preferences and retail scenarios.
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Thumbnail by: Clothing icons created by Flat Icons - Flaticon
Data tables containing aggregated information about vehicles in the UK are also available.
A number of changes were introduced to these data files in the 2022 release to help meet the needs of our users and to provide more detail.
Fuel type has been added to:
Historic UK data has been added to:
A new datafile has been added df_VEH0520.
We welcome any feedback on the structure of our data files, their usability, or any suggestions for improvements; please contact vehicles statistics.
CSV files can be used either as a spreadsheet (using Microsoft Excel or similar spreadsheet packages) or digitally using software packages and languages (for example, R or Python).
When using as a spreadsheet, there will be no formatting, but the file can still be explored like our publication tables. Due to their size, older software might not be able to open the entire file.
df_VEH0120_GB: https://assets.publishing.service.gov.uk/media/68494aca74fe8fe0cbb4676c/df_VEH0120_GB.csv">Vehicles at the end of the quarter by licence status, body type, make, generic model and model: Great Britain (CSV, 58.1 MB)
Scope: All registered vehicles in Great Britain; from 1994 Quarter 4 (end December)
Schema: BodyType, Make, GenModel, Model, Fuel, LicenceStatus, [number of vehicles; 1 column per quarter]
df_VEH0120_UK: https://assets.publishing.service.gov.uk/media/68494acb782e42a839d3a3ac/df_VEH0120_UK.csv">Vehicles at the end of the quarter by licence status, body type, make, generic model and model: United Kingdom (CSV, 34.1 MB)
Scope: All registered vehicles in the United Kingdom; from 2014 Quarter 3 (end September)
Schema: BodyType, Make, GenModel, Model, Fuel, LicenceStatus, [number of vehicles; 1 column per quarter]
df_VEH0160_GB: https://assets.publishing.service.gov.uk/media/68494ad774fe8fe0cbb4676d/df_VEH0160_GB.csv">Vehicles registered for the first time by body type, make, generic model and model: Great Britain (CSV, 24.8 MB)
Scope: All vehicles registered for the first time in Great Britain; from 2001 Quarter 1 (January to March)
Schema: BodyType, Make, GenModel, Model, Fuel, [number of vehicles; 1 column per quarter]
df_VEH0160_UK: https://assets.publishing.service.gov.uk/media/68494ad7aae47e0d6c06e078/df_VEH0160_UK.csv">Vehicles registered for the first time by body type, make, generic model and model: United Kingdom (CSV, 8.26 MB)
Scope: All vehicles registered for the first time in the United Kingdom; from 2014 Quarter 3 (July to September)
Schema: BodyType, Make, GenModel, Model, Fuel, [number of vehicles; 1 column per quarter]
In order to keep the datafile df_VEH0124 to a reasonable size, it has been split into 2 halves; 1 covering makes starting with A to M, and the other covering makes starting with N to Z.
df_VEH0124_AM: <a class="govuk-link" href="https://assets.
This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).
In financial year 2024, Hindustan Unilever Limited reported a gross sales value of about 596 billion Indian rupees, up from about 267 billion Indian rupees in financial year 2013. Hindustan Unilever is a subsidiary of the British-Dutch FMCG company Unilever and it is headquartered in Mumbai.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is a spreadsheet of 1 of 10 companies in the shoe industry. Highlighting COGS, Total Revenue, Market share and Industry share.