Name: BMW Cars Dataset Analysis With Visualizations
Creator: Kaggle
License: https://opendatacommons.org/licenses/pddl/1.0/

About this Dataset

BMW Cars Dataset Analysis With Visualizations

Content

With 10,781 records and 9 variables, this dataset offers comprehensive structured information about BMW vehicles. Model, year of manufacture, selling price, type of transmission, mileage, fuel type, annual road tax, engine size, and fuel economy (mpg) are among the columns. Every row corresponds to a distinct listing of BMW vehicles. Because of its cleanliness and organization, the data can be used for both analysis and machine learning applications.

Context

Data analysis is essential to comprehending market dynamics in the automotive sector. This dataset is frequently used to investigate pricing trends, resale value, and the effect of specifications on vehicle performance in Kaggle projects, scholarly research, and data science practice. Both buyers and sellers can study market demand and price variations with the help of such datasets. This dataset can be used to train machine learning models that assess engine performance and fuel efficiency across various BMW models or forecast automobile pricing.

Use Cases / Value

Price Prediction: Predicting car prices based on features like mileage, engine size, and year of manufacture.
Trend Analysis: Examining the evolution of fuel and transmission types throughout time.
Market insights: Being aware of the demand for and potential resale value of BMW vehicles.
Data Visualization & ML Projects: An excellent tool for novices and researchers to develop own portfolio projects and practice data analysis.

Tables

Bmw

@kaggle.wardabilal_bmw_cars_dataset_analysis_with_visualizations.bmw

133.25 kB
10,781 rows
9 columns

CREATE TABLE bmw (
  "model" VARCHAR,
  "year" BIGINT,
  "price" BIGINT,
  "transmission" VARCHAR,
  "mileage" BIGINT,
  "fueltype" VARCHAR,
  "tax" BIGINT,
  "mpg" DOUBLE,
  "enginesize" DOUBLE
);