Supermarket Sales

Public

Profile

Title of the dataset	Supermarket Sales
Provenance of the dataset	kaggle.com, Aung Pyae
How were the data collected/created? What was the cost?	NA
Data sharing policy	With anyone.
Data sharing policy

Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates.	text number series table
Variable labels of dataset (the names of the variables)	Invoice_id\|Branch\|City\|Type_customers\|Gender\|Product_line\|Unit_price\|Quantity\|Tax\|Total\|Date\|Time\|Payment\|COGS\|Gross_margin_percentage\|Gross_income\|Rating
Outline of data	The dataset is data of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. This could be used for descriptive and predictive analytics.
Simulation process
Expected outcome of the process (obtained knowledge, analysis results, output of tools)	Obtain forecasted amount of sales and profit (either by each product line or the whole product lines), Obtain customer segmentation (which could be used to offer campaigns for certain customers), Obtain feedbacks from customers (based on the rating variable)
Anticipation for analyses/simulations other than the typical ones provided above	Inspect which products are popular among the customers (the result could be used to make campaigns in order to improve sales), Inspect which day of the week is the busiest (manpower plan in the stores), Inspect which time of the day is the busiest (manpower plan in the stores),