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Dataset Description

This analysis uses an ecommerce customer dataset from a clothing store company that offers both online shopping and in-store style and clothing advice sessions. The dataset was sourced from Kaggle and contains behavioral data for 500 customers. The primary objective is to help the company decide whether to concentrate resources on their mobile app service or website, based on the yearly amount spent by customers.

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Dataset Columns

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Email
string
Customer’s email address (unique identifier)
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Address
string
Customer’s physical address
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Avatar
string
Customer’s avatar color preference
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Avg. Session Length
numeric
Average session length in minutes when visiting the storeStatistics:
  • Mean: 33.05 minutes
  • Range: 29.53 - 36.14 minutes
  • Std Dev: 0.99
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Time on App
numeric
Time spent on the mobile app in minutesStatistics:
  • Mean: 12.05 minutes
  • Range: 8.51 - 15.13 minutes
  • Std Dev: 0.99
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Time on Website
numeric
Time spent on the website in minutesStatistics:
  • Mean: 37.06 minutes
  • Range: 33.91 - 40.01 minutes
  • Std Dev: 1.01
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Length of Membership
numeric
How long the customer has been a member in yearsStatistics:
  • Mean: 3.53 years
  • Range: 0.27 - 6.92 years
  • Std Dev: 1.00
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Yearly Amount Spent
numeric
The annual amount spent by the customer (target variable)Statistics:
  • Mean: $499.31
  • Range: 256.67−256.67 - 765.52
  • Std Dev: $79.31

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Dataset Statistics

The dataset contains 500 customer records with complete data across all 8 columns. There are no missing values in the dataset.

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Key Insights

  • Sample Size: 500 customers
  • Data Quality: Complete dataset with no missing values
  • Feature Distribution: All numeric features show relatively normal distributions with consistent standard deviations around 1.0
  • Target Variable: Yearly Amount Spent shows good variance (SD: $79.31) suitable for regression analysis

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Data Distribution Characteristics

Based on the descriptive statistics:
  1. Avg. Session Length shows moderate variation with most customers having sessions between 32-34 minutes
  2. Time on App averages around 12 minutes with a relatively tight distribution
  3. Time on Website has the highest mean value (37 minutes) among engagement metrics
  4. Length of Membership spans from new customers (< 1 year) to long-term members (nearly 7 years)
  5. Yearly Amount Spent ranges from 256.67to256.67 to 765.52, providing a good spread for predictive modeling
The quartile values indicate relatively symmetric distributions for most features, which is ideal for linear regression modeling.

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