Data
Online_Sales

Online_Sales

active ARFF Public Domain (CC0) Visibility: public Uploaded 31-05-2024 by Iwo Godzwon
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Description: The Online Sales Data.csv dataset is a comprehensive collection of sales transactions from an undisclosed online retailer. Spanning various regions and product categories, this dataset captures essential details of individual sales, offering insights into consumer behavior and sales performance across different markets. It includes information on transaction IDs, dates, product categories and names, units sold, unit prices, total revenue, geographical regions, and payment methods. Attribute Description: 1. Transaction ID: A unique identifier for each sales transaction (e.g., 10032, 10138). 2. Date: The date when the transaction occurred, formatted as YYYY-MM-DD (e.g., 2024-03-30). 3. Product Category: Broad classification of the product sold (e.g., Beauty Products, Clothing). 4. Product Name: The specific name of the product sold (e.g., Bose QuietComfort 35 Headphones, Garmin Forerunner 945). 5. Units Sold: The quantity of the product that was sold in a single transaction (e.g., 5, 1). 6. Unit Price: The price of one unit of the product (e.g., 102.0, 199.99). 7. Total Revenue: The total income from the transaction (e.g., 299.99, 50.97). 8. Region: The geographical region where the sale was made (e.g., Europe, Asia, North America). 9. Payment Method: The method by which the transaction was paid (e.g., Credit Card). Use Case: This dataset is invaluable for analysts and researchers aiming to understand market trends, consumer preferences, and sales performance. Potential applications include analyzing seasonal variations in sales, comparing product performance across different regions, forecasting sales, and developing targeted marketing strategies. Additionally, insights derived from this dataset can drive inventory management decisions and personalize customer engagement efforts.

9 features

Transaction IDstring240 unique values
0 missing
Datestring240 unique values
0 missing
Product Categorynominal6 unique values
0 missing
Product Namestring232 unique values
0 missing
Units Soldnumeric7 unique values
0 missing
Unit Pricenumeric117 unique values
0 missing
Total Revenuenumeric173 unique values
0 missing
Regionnominal3 unique values
0 missing
Payment Methodnominal3 unique values
0 missing

19 properties

240
Number of instances (rows) of the dataset.
9
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
3
Number of numeric attributes.
3
Number of nominal attributes.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.
0.04
Number of attributes divided by the number of instances.
33.33
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
33.33
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.

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