Baselight

Sales And Satisfaction

Exploring the Impact of Interventions on Sales Performance and Satisfaction

@kaggle.matinmahmoudi_sales_and_satisfaction

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About this Dataset

Sales And Satisfaction

One dataset contains missing values (NaNs) and the other does not. These datasets contain information on sales and customer satisfaction before and after an intervention, as well as purchase data for control and treatment groups. The dataset is synthetic and was created for use in statistical analysis.

This is an original dataset.

Features

Group

  • Description: Indicates whether the data point belongs to the Control or Treatment group.
  • Categories: Control, Treatment

Customer_Segment

  • Description: Categorizes customers based on their value.
  • Categories: High Value, Medium Value, Low Value

Sales_Before

  • Description: Sales figures before the intervention.
  • Data Type: Numerical

Sales_After

  • Description: Sales figures after the intervention.
  • Data Type: Numerical

Customer_Satisfaction_Before

  • Description: Customer satisfaction scores before the intervention.
  • Data Type: Numerical

Customer_Satisfaction_After

  • Description: Customer satisfaction scores after the intervention.
  • Data Type: Numerical

Purchase_Made

  • Description: Indicates whether a purchase was made after the intervention.
  • Categories: Yes, No

Tables

Sales With Nans V1–3

@kaggle.matinmahmoudi_sales_and_satisfaction.sales_with_nans_v1_3
  • 328.25 KB
  • 10000 rows
  • 7 columns
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CREATE TABLE sales_with_nans_v1_3 (
  "group" VARCHAR,
  "customer_segment" VARCHAR,
  "sales_before" DOUBLE,
  "sales_after" DOUBLE,
  "customer_satisfaction_before" DOUBLE,
  "customer_satisfaction_after" DOUBLE,
  "purchase_made" VARCHAR
);

Sales Without Nans V1–3

@kaggle.matinmahmoudi_sales_and_satisfaction.sales_without_nans_v1_3
  • 371.94 KB
  • 10000 rows
  • 7 columns
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CREATE TABLE sales_without_nans_v1_3 (
  "group" VARCHAR,
  "customer_segment" VARCHAR,
  "sales_before" DOUBLE,
  "sales_after" DOUBLE,
  "customer_satisfaction_before" DOUBLE,
  "customer_satisfaction_after" DOUBLE,
  "purchase_made" VARCHAR
);

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