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README.md
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@@ -27,17 +27,17 @@ Acknowledgements:
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I found this dataset on Kaggle which was found on Tableau. All acknowledgements go to the person maintaining it on Kaggle and the original authors on Tableau.
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- **Curated by:**
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- **Funded by [optional]:**
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- **Shared by [optional]:**
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- **Language(s) (NLP):**
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- **License:**
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:**
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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-Time series analysis
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-Linear regression
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-Logistic regression
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Row ID => Unique ID for each row.
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Order ID => Unique Order ID for each Customer.
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Order Date => Order Date of the product.
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Sales => Sales of the Product.
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Quantity => Quantity of the Product.
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Discount => Discount provided.
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Profit => Profit/Loss incurred.
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## Dataset Creation
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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Dataset contains sensitive information such as names, regions and countries of residence, segmentation analysis and order id.
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## Bias, Risks, and Limitations
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## Dataset Card Authors [optional]
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## Dataset Card Contact
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I found this dataset on Kaggle which was found on Tableau. All acknowledgements go to the person maintaining it on Kaggle and the original authors on Tableau.
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- **Curated by:** Vivek Chowdhury @ Kaggle
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- **Funded by [optional]:** N/A
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- **Shared by [optional]:** N/A
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- **Language(s) (NLP):** English
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- **License:** GNU public license v2.0
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** https://www.kaggle.com/datasets/vivek468/superstore-dataset-final?resource=download
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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1.Forecasting
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-Time series analysis
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2.Prediction
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-Linear regression
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-Logistic regression
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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Any use other than specified above.
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Dataset contains 21 columns or features and 9k rows. Following are the column descriptions:
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Row ID => Unique ID for each row.
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Order ID => Unique Order ID for each Customer.
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Order Date => Order Date of the product.
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Sales => Sales of the Product.
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Quantity => Quantity of the Product.
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Discount => Discount provided.
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Profit => Profit/Loss incurred.
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## Dataset Creation
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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Dataset contains sensitive information such as names, regions and countries of residence, segmentation analysis and order id.
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## Bias, Risks, and Limitations
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## Dataset Card Authors [optional]
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Anupama Jayaraman
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## Dataset Card Contact
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