Supermarket Sales

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提出者情報

データの種類	テキスト数値時系列表
データの変数（パラメーター）の変数名	Invoice_id\|Branch\|City\|Type_customers\|Gender\|Product_line\|Unit_price\|Quantity\|Tax\|Total\|Date\|Time\|Payment\|COGS\|Gross_margin_percentage\|Gross_income\|Rating
データの概要説明	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.
想定しているデータの分析・シミュレーションプロセス
想定しているデータの分析・シミュレーションプロセスの結果　（データ分析結果／ツールの出力／典型例など）	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)
上記の分析・シミュレーションプロセス以外に期待する分析	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),