Data Science Practice Test 1

A data science team is analyzing customer purchase data for an online store. The dataset includes customer age, location, number of visits, total spending, and product categories. Before building a model, the team checks for missing values, duplicate records, and unusual outliers.

The team creates simple charts to understand patterns in the data. They notice that repeat visitors often spend more than first-time visitors. However, the team avoids making a final conclusion until they test the pattern with more data.

After cleaning the dataset, the team builds a model to predict whether a customer is likely to make another purchase. The model is evaluated using a separate test dataset to check how well it performs on new data.