Análise Estatística para Marketing

Exploring customer behavior with NumPy

Role: Independent learning project
Status: Python · NumPy · Pandas · data visualization

A statistical analysis of synthetic e-commerce data exploring how visits, time on site, and cart items relate to purchase value.

Business questions

The project investigates the average user profile, traits of high-value customers, the behavior of visitors who do not purchase, and relationships between browsing indicators and purchase value.

Analysis and visualization

Using NumPy, the script generates reproducible data and calculates descriptive statistics, segments, and correlations. Matplotlib and Seaborn produce a histogram and a heatmap.

Limitations

The data is synthetic, and some relationships between variables were built into its generation. The results demonstrate techniques and should not be used to infer real customer patterns.

ProgramAuto

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