The dataset consists of across 11 variables , tracking car seat sales at different retail locations. Description Sales Unit sales (in thousands) at each location Quantitative (Target) CompPrice Price charged by competitor at each location Quantitative Income Community income level (in $1,000s) Quantitative Advertising Local advertising budget (in $1,000s) Quantitative Population Regional population size (in thousands) Quantitative Price Price charged for car seats at each site Quantitative ShelveLoc Quality of shelving location (Bad, Medium, Good) Qualitative (Factor) Age Average age of the local population Quantitative Education Education level at each location Quantitative Urban Whether the store is in an urban or rural location Qualitative (Yes/No) US Whether the store is in the United States Qualitative (Yes/No) Common Use Cases The Carseats dataset is primarily used for: Carseats - Kaggle
: Access the raw CSV file on selva86/datasets or through the ISLR-python repository . carseats dataset csv download
: Download the dataset for competitions or projects from Kaggle's Carseats page or the Child Car Safety Seats dataset . Dataset Overview and Variables The dataset consists of across 11 variables ,
The is a classic simulated dataset frequently used in statistical learning and data science education to demonstrate regression and classification techniques. Originally part of the ISLR (An Introduction to Statistical Learning with Applications in R) package, it provides a practical way to explore how factors like pricing, advertising, and shelving location influence sales. Carseats Dataset CSV Download Links Dataset Overview and Variables The is a classic
You can find the Carseats dataset in CSV format across several major data repositories: