global-superstore-data
- kaggle.com
zipUpdated Jan 18, 2021+ more versions
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EmailClick to copy linkLink copiedCiteAchin Bhatia (2021). global-superstore-data [Dataset]. https://www.kaggle.com/achinbhatia/globalsuperstoredatazip(560764 bytes)Available download formatsDataset updatedJan 18, 2021AuthorsAchin BhatiaDescriptionDataset
This dataset was created by Achin Bhatia
Contents
It contains the following files:
Data from: Global Superstore
- kaggle.com
zipUpdated Jul 16, 2020+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteChandra Shekhar (2020). Global Superstore [Dataset]. https://www.kaggle.com/shekpaul/global-superstorezip(5985038 bytes)Available download formatsDataset updatedJul 16, 2020AuthorsChandra ShekharDescriptionDataset
This dataset was created by Chandra Shekhar
Released under Other (specified in description)
Contents
It contains the following files:
- A
‘Superstore Sales Dataset’ analyzed by Analyst-2
- analyst-2.ai
Updated Jan 28, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAnalyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Superstore Sales Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-superstore-sales-dataset-8442/a47909c8/?iid=010-519&v=presentationDataset updatedJan 28, 2022Dataset authored and provided byAnalyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionAnalysis of ‘Superstore Sales Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/rohitsahoo/sales-forecasting on 28 January 2022.
--- Dataset description provided by original source is as follows ---
Context
Retail dataset of a global superstore for 4 years. Perform EDA and Predict the sales of the next 7 days from the last date of the Training dataset!
Content
Time series analysis deals with time series based data to extract patterns for predictions and other characteristics of the data. It uses a model for forecasting future values in a small time frame based on previous observations. It is widely used for non-stationary data, such as economic data, weather data, stock prices, and retail sales forecasting.
Dataset
The dataset is easy to understand and is self-explanatory
Inspiration
Perform EDA and Predict the sales of the next 7 days from the last date of the Training dataset!
--- Original source retains full ownership of the source dataset ---
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Retail Giant Sales Forecasting
Dataset
This dataset was created by Achin Bhatia
Contents
It contains the following files: