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Grocery Product Price and Discount Analysis
Retail & Consumer Behavior
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About
This rich dataset captures the daily prices of grocery essentials, ranging from fresh produce to pantry staples. It allows for the exploration of price fluctuations of everyday items, offering valuable insights for data scientists, analysts, and anyone interested in market trends. By tracking these prices, users can optimise shopping strategies, analyse market behaviour, and make more informed decisions.
Columns
- Product Name: The name or description of the grocery item.
- Category: The category to which the product belongs (e.g., fruits, vegetables, dairy).
- Quantity: The quantity or amount of the product purchased.
- Original Price (Rs.): The original price of the product before any discounts, in Indian Rupees.
- Discount: The discount offered on the product, often represented as a percentage.
- Discounted Price (Rs.): The final price of the product after applying the discount, in Indian Rupees.
Distribution
The dataset is provided in a single CSV file (
Grocery_data (1).csv) with a size of 2.45 MB. It contains 6 columns and approximately 25,800 rows of data. It is expected to be updated weekly.Usage
Ideal applications for this dataset include:
- Tracking and analysing market price trends for various grocery items.
- Developing and testing price optimisation and shopping strategies.
- Performing data analytics and creating data visualisations to uncover consumer behaviour insights.
- Practising data cleaning and preparation techniques on a real-world dataset.
Coverage
The data pertains to grocery prices in Indian Rupees (Rs.), indicating a likely geographic focus on the Indian market. The specific time range and demographic scope are not detailed in the provided information.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: To track market trends, build predictive models, and uncover valuable commercial insights.
- Retail Professionals: To analyse pricing strategies and understand the competitive landscape.
- Data Enthusiasts and Students: For projects involving data visualisation, data cleaning, and retail analytics.
- Consumers: To develop strategies for optimising their grocery shopping and budget.
Dataset Name Suggestions
- Daily Grocery Prices in India
- Indian Grocery Market Price Trends
- Retail Grocery Item Price Data
- Grocery Product Price and Discount Analysis
Attributes
Original Data Source: Grocery Product Price and Discount Analysis
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