Update README.md

README.md

@@ -13,7 +13,7 @@ size_categories:
 # Dataset Card for Dataset Name
 
 <!-- -->
- This is a superstore giant's POS information dataset. The goal is to predict sales of a given product from the dataset
+ This is a superstore giant's POS information dataset. The goal is to predict sales and demographics of a given product from the dataset
 This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
 
 ## Dataset Details
@@ -21,44 +21,71 @@ This dataset card aims to be a base template for new datasets. It has been gener
 ### Dataset Description
 
 <!--  -->
+This dataset is to understand which products, regions, categories and customer segments the store should target or avoid.
 
+Acknowledgements:
+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. 
 
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **Curated by:** [Vivek Chowdhury]
+- **Funded by [optional]:** [N/A]
+- **Shared by [optional]:** [N/A]
+- **Language(s) (NLP):** [English]
+- **License:** [GNU public license v2.0]
 
 ### Dataset Sources [optional]
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [More Information Needed]
+- **Repository:** [https://www.kaggle.com/datasets/vivek468/superstore-dataset-final?resource=download]
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 
 ## Uses
 
 <!-- Address questions around how the dataset is intended to be used. -->
+ The data is meant to be visualised, trends observed and noted and a machine learning model applied to predict or forecast the quantity of a particular product that will be sold at a future date.
 
 ### Direct Use
 
 <!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
+ [1.Forecasting
+  -Time series analysis
+  2.Prediction
+  -Linear regression
+  -Logistic regression]
 
 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
+[Any use other than specified above.]
 
 ## Dataset Structure
 
 <!-- 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. -->
-
-[More Information Needed]
+ 
+[ Dataset contains 21 columns or features and 9k rows. Following are the column descriptions:
+ Row ID => Unique ID for each row.
+ Order ID => Unique Order ID for each Customer.
+ Order Date => Order Date of the product.
+ Ship Date => Shipping Date of the Product.
+ Ship Mode=> Shipping Mode specified by the Customer.
+ Customer ID => Unique ID to identify each Customer.
+ Customer Name => Name of the Customer.
+ Segment => The segment where the Customer belongs.
+ Country => Country of residence of the Customer.
+ City => City of residence of of the Customer.
+ State => State of residence of the Customer.
+ Postal Code => Postal Code of every Customer.
+ Region => Region where the Customer belong.
+ Product ID => Unique ID of the Product.
+ Category => Category of the product ordered.
+ Sub-Category => Sub-Category of the product ordered.
+ Product Name => Name of the Product
+ Sales => Sales of the Product.
+ Quantity => Quantity of the Product.
+ Discount => Discount provided.
+ Profit => Profit/Loss incurred.]
 
 ## Dataset Creation
 
@@ -71,7 +98,7 @@ This dataset card aims to be a base template for new datasets. It has been gener
 ### Source Data
 
 <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
+This dataset was sourced from tableau and consists of real data from a Superstore Giant wanting to know how they can improve their sales strategy.
 #### Data Collection and Processing
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
@@ -103,7 +130,7 @@ This dataset card aims to be a base template for new datasets. It has been gener
 #### Personal and Sensitive Information
 
 <!-- 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. -->
-
+ Dataset contains sensitive information such as names, regions and countries of residence, segmentation analysis and order id.
 [More Information Needed]
 
 ## Bias, Risks, and Limitations
@@ -142,8 +169,8 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 ## Dataset Card Authors [optional]
 
-[More Information Needed]
+[Anupama Jayaraman]
 
 ## Dataset Card Contact
 
-[More Information Needed]
+[[email protected]]