Dataset: Grocery Prices Data: Explore Shopping Trends

About this Dataset

Grocery Prices Data: Explore Shopping Trends

Explore this rich dataset capturing daily prices of grocery essentials. From fresh produce to pantry staples, delve into the fluctuations of everyday items to uncover valuable insights for data scientists and analysts. Whether you're tracking market trends or optimizing shopping strategies, this dataset offers a treasure trove of information for informed decision-making.

Here's a short description for each column in your dataset:

Product Name: The name or description of the grocery item.

Category: The category to which the product belongs (e.g., fruits, vegetables, dairy, etc.)

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, usually represented as a percentage.

Discounted Price (Rs.): The price of the product after applying the discount, in Indian Rupees.

Tables

Grocery Data 1

@kaggle.aryanverma99_grocery_prices_data_explore_shopping_trends.grocery_data_1

785.59 KB
25768 rows
6 columns


CREATE TABLE grocery_data_1 (
  "product_name" VARCHAR,
  "category" VARCHAR,
  "quantity" VARCHAR,
  "original_price_rs" DOUBLE,
  "discount" VARCHAR,
  "discounted_price_rs" DOUBLE
);