E-commerce Sales Prediction Dataset

Synthetic E-commerce Dataset for Sales Forecasting and Trend Analysis

@kaggle.nevildhinoja_e_commerce_sales_prediction_dataset

Table List

1 table(30.45 KB)

Ecommerce Sales Prediction Dataset

@kaggle.nevildhinoja_e_commerce_sales_prediction_dataset.ecommerce_sales_prediction_dataset

30.45 KB
1000 rows
7 columns

date Date	product_category Product Category	price Price	discount Discount	customer_segment Customer Segment	marketing_spend Marketing Spend	units_sold Units Sold
01-01-2023	Sports	932.8	35.82	Occasional	6780.38	32
02-01-2023	Toys	569.48	3.6	Premium	6807.56	16
03-01-2023	Home Decor	699.68	3.56	Premium	3793.91	27
04-01-2023	Toys	923.27	0.61	Premium	9422.75	29
05-01-2023	Toys	710.17	47.83	Premium	1756.83	17
06-01-2023	Fashion	161.01	36.88	Premium	5053.56	27
07-01-2023	Home Decor	580.53	17.66	Occasional	6939.75	30
08-01-2023	Home Decor	610.65	14.83	Regular	7001.64	27
09-01-2023	Home Decor	429.89	17.49	Occasional	6521.53	32
10-01-2023	Toys	739.08	38.73	Regular	2825.35	28


CREATE TABLE ecommerce_sales_prediction_dataset (
  "date" VARCHAR,
  "product_category" VARCHAR,
  "price" DOUBLE,
  "discount" DOUBLE,
  "customer_segment" VARCHAR,
  "marketing_spend" DOUBLE,
  "units_sold" BIGINT
);