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Jakarta Region Vehicle Price and Feature Data
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About
Detailed records of the Indonesian pre-owned vehicle market are captured in this collection, offering valuable insights into pricing trends, vehicle specifications, and feature availability. The data facilitates the analysis of depreciation rates, the impact of specific features (such as sunroofs or 360-degree cameras) on market value, and the popularity of various brands within the region. It serves as a foundational resource for regression analysis and market intelligence in the Southeast Asian automotive sector.
Columns
- car name: The specific model or name of the vehicle (e.g., BRIO SATYA E 1.2).
- brand: The manufacturer of the vehicle (e.g., Toyota, Honda).
- year: The manufacturing year of the vehicle.
- mileage (km): The total distance travelled by the car in kilometres.
- location: The city or region where the car is listed for sale (e.g., Bogor, Tangerang Selatan).
- transmission: The type of transmission system (Manual or Automatic).
- plate type: Specifies the license plate policy type (odd plate or even plate).
- rear camera: Binary indicator (1 for yes, 0 for no) for the presence of a rear camera.
- sun roof: Binary indicator for the presence of a sunroof.
- auto retract mirror: Binary indicator for auto-retracting side mirrors.
- electric parking brake: Binary indicator for an electric parking brake system.
- map navigator: Binary indicator for a built-in navigation system.
- vehicle stability control: Binary indicator for stability control safety features.
- keyless push start: Binary indicator for keyless ignition systems.
- sports mode: Binary indicator for the availability of a sports driving mode.
- 360 camera view: Binary indicator for a surround-view camera system.
- power sliding door: Binary indicator for electronic sliding doors.
- auto cruise control: Binary indicator for automatic cruise control features.
- price (Rp): The listing price of the vehicle in Indonesian Rupiah.
- instalment (Rp|Monthly): The calculated monthly payment amount in Indonesian Rupiah.
Distribution
The data is structured in a CSV (Comma Separated Values) format with a file size of approximately 65.82 kB. It contains 609 valid records across 20 distinct columns, with zero missing or mismatched values reported.
Usage
- Price Prediction Models: Developing regression algorithms to estimate used car values based on age, mileage, and features.
- Market Analysis: Understanding brand dominance and inventory distribution across different Indonesian cities.
- Feature Valuation: Assessing how premium features like sunroofs or 360 cameras influence the final listing price and monthly instalments.
- Financial Modelling: Analysing the relationship between total vehicle price and monthly instalment structures.
Coverage
- Geographic Scope: Indonesia, with specific listing locations including Bogor and Tangerang Selatan.
- Time Range: Covers vehicles manufactured between the years 2010 and 2023.
- Demographic/Item Scope: Includes various automobile types, primarily focusing on mass-market passenger vehicles.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training machine learning models on regression and classification tasks.
- Automotive Analysts: To study market trends and inventory aging in Indonesia.
- Financial Institutions: To benchmark loan instalment calculations against market listing prices.
- Car Dealerships: For competitive pricing analysis and inventory planning.
Dataset Name Suggestions
- Indonesian Used Car Market Listings
- Jakarta Region Vehicle Price and Feature Data
- Pre-owned Automobile Specifications Indonesia
- Historical Used Car Prices 2010-2023
Attributes
Original Data Source: Jakarta Region Vehicle Price and Feature Data
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