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The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the major research areas in machine learning. So if you want to learn how to train a car price prediction model
Coupes and convertibles were the most expensive used car types in the United States as of February 2023, priced on average at around 49,800 and 46,700 U.S. dollars respectively. In contrast, used wagons and hatchbacks were more affordable, at an average of 20,000 and 24,200 U.S. dollars. The overall used vehicle average list price had been steadily rising between mid-year 2020 and mid-year 2022, but dipped in June 2023.
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Used Car Prices YoY in the United States decreased by 12.10 percent in May from -14 percent in April of 2024. This dataset includes a chart with historical data for the United States Used Car Prices YoY.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Used Cars and Trucks in Size Class B/C (CUURX000SETA02) from Dec 1997 to May 2024 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.
The content of the data is in german, so one has to translate it first if one can not speak german. Those fields are included:
The fields lastSeen and dateCrawled could be used to estimate how long a car will be at least online before it is sold. Regression on average Price per Year based on this dataset Happy Coding!
Source: Kaggle
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The dataset used in this analysis contains information about car prices and their associated features. Here's a brief overview of the dataset:
Columns: The dataset consists of several columns including:
Make: The brand or manufacturer of the car (e.g., Toyota, Honda, Ford). Model: The specific model of the car (e.g., Camry, Civic, F-150). Year: The manufacturing year of the car. Mileage: The total mileage (in miles) of the car. Condition: The condition of the car, categorized as Excellent, Good, or Fair. Price: The price of the car. Size: The dataset contains a certain number of rows, each representing a unique car entry, and a set of columns describing various attributes of the cars.
Source: The dataset was generated synthetically for the purpose of this analysis. It was created using a Python script that simulated car prices based on random values and predefined factors to mimic real-world variability.
Purpose: The dataset is used for exploratory data analysis (EDA) and modeling tasks. It serves as a sample dataset to demonstrate data analysis techniques, such as data cleaning, visualization, and predictive modeling, in a car price prediction context.
Data Types: The dataset consists of both numerical and categorical data types. Numerical features include Year, Mileage, and Price, while categorical features include Make, Model, and Condition.
Missing Values: There are no missing values in the dataset, ensuring that the analysis can be performed smoothly without the need for imputation or handling missing data.
Overall, this dataset provides a foundation for analyzing and understanding factors influencing car prices, exploring relationships between features, and building predictive models to estimate car prices based on given attributes.
In 2022, the average selling price of used vehicles came to around 30,700 U.S. dollars. New automobiles and light trucks were on average almost 15,600 U.S. dollars more expensive than used light vehicles.
The used car boom
As the price for new vehicles has been increasing, more Americans are turning towards buying second-hand cars and light trucks. Buying new cars and light trucks is typically seen as a privilege that few may do often. Generally, used vehicle sales are on the rise in most countries. Thanks to ever-improving technology, automobiles may keep running for many years and remain in good condition. This allows the average age of light vehicles in operation in the United States to increase slowly. Although new cars are often seen as status symbols, vintage cars are also very popular in the United States, the main reason for this trend being aesthetic and cultural values.
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Analysis of ‘Car Prices Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sidharth178/car-prices-dataset on 28 January 2022.
--- Dataset description provided by original source is as follows ---
With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To solve the price problem we have created a dataset of 19237 for the training dataset and 8245 for the test dataset.
Train.csv - 19237 rows x 18 columns (Includes Price Columns as Target) - Attributes - ID - Price: price of the care(Target Column) - Levy - Manufacturer - Model - Prod. year - Category - Leather interior - Fuel type - Engine volume - Mileage - Cylinders - Gear box type - Drive wheels - Doors - Wheel - Color - Airbags Test.csv - 8245 rows x 17 columns
--- Original source retains full ownership of the source dataset ---
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This dataset was created by Ramzy Labidi
Released under CC0: Public Domain
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Used Car Prices MoM in the United States decreased by 0.60 percent in May from -2.30 percent in April of 2024. This dataset includes a chart with historical data for the United States Used Car Prices MoM.
The average list price for used vehicles in the United States reached some 27,300 U.S. dollars in June 2023. This was a year-on-year decrease of around 2.8 percent of the June 2022 average, which stood at under 28,100 U.S. dollars. Used cars recorded an overall increase in prices and a decrease in more affordable stocks as a consequence of the global chip shortage which put the automotive industry at a standstill, affecting the production of new vehicles.
This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition.
There are three tables present in this dataset :
id : Serves as a primary key for both "Cars_Multi" and "Cars_Price" Table. origin : Serves as a primary key for the "Cars_Country" Table.
origin : Serves as a foreign key for the "Cars_Country" in the "Cars_Multi" table.
id : string (Unique values - PK) mpg : continuous cylinders : multi-valued discrete displacement : continuous horsepower : continuous weight : continuous acceleration : continuous model : multi-valued discrete origin : multi-valued discrete (FK) car name : string (Unique values)
id : string (Unique values - PK) price : continuous
origin : multi-valued discrete (Unique values - PK) country : string (Unique values)
The three raw data files were consolidated using SQL queries to generate an analysis-ready and clean data with the following attributes:
Car : string (Unique values) Model Year : multi-valued discrete (Time Period in Years) Country : string Mileage : continuous No. of Cylinders : multi-valued discrete Displacement : continuous HP : continuous Weight : continuous Acceleration : continuous Price : continuous
The period between 1970 and 1982 marked a significant shift in the United States car industry. American production shifted from heavy, powerful six and eight-cylinder cars with poor gas mileage to lighter, less powerful, four-cylinder cars with higher fuel efficiency.
The global auto industry, including Americans and their European and Japanese competitors, raised overall miles per gallon (MPG) by focusing on four-cylinder cars and making them more fuel-efficient.
https://upload.wikimedia.org/wikipedia/commons/thumb/f/f0/Ford_Pinto.jpg/280px-Ford_Pinto.jpg" alt="Ford Pinto">
https://upload.wikimedia.org/wikipedia/commons/thumb/c/cc/1976_AMC_Hornet_Sportabout.jpg/280px-1976_AMC_Hornet_Sportabout.jpg" alt="AMC Hornet">
https://upload.wikimedia.org/wikipedia/commons/thumb/f/f8/Fiat_131_S_Mirafiori_1600.jpg/280px-Fiat_131_S_Mirafiori_1600.jpg" alt="Fiat 131">
https://upload.wikimedia.org/wikipedia/commons/thumb/e/e8/1994_Audi_100_E_2.0_Front.jpg/280px-1994_Audi_100_E_2.0_Front.jpg" alt="Audi 100ls">
Switzerland had the highest price tags on new passenger cars sold in 2020, overtaking Norway for the first time in five years. Swiss people had to dig deeper into their pockets than any of their European neighbors, with prices roughly 15,000 euros higher than the EU-28 average. Reasons for automobiles being so costly in Switzerland are partly due to tax rates, which are set by each canton based on a set of varying criteria including but not limited to vehicle weight, powertrain, and CO2 emissions. These incentives contribute to making larger, heavier vehicles using petrol and diesel engines more expensive. The only vehicles exempt from taxes in selected cantons were electric cars. Electric vehicles are extremely popular in Norway, second in the ranking in terms of average vehicle price, in parts due to the VAT and tolls exemptions for electric vehicles in the country. Norwegian buyers are able to spend more on high-tech models.
Car tax rates in Nordic countries higher on average
Other European countries with a 25 percent tax rate on acquisition are Croatia, Denmark and Sweden, while those in Hungary even exceeded Norwegian rates by two percent. As seen in this statistic higher tax rates on passenger cars translates to higher prices overall. Sweden and Denmark both appeared in the top seven most expensive car buying countries. Hence, in terms of volume of new car registrations, Northern European countries trailed behind not only their more populous neighbors, but also other smaller countries where tax rates were lower.
Prices for passenger cars to stay stable
Prices for passenger cars were forecast to stay relatively stable in the next three years, with only slight increases expected. Luxury cars were the only group where price change was estimated to be more prominent.
This dataset was created by Vishnu Murali
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The average for 2017 based on 39 countries was 115.98 index points. The highest value was in Singapore: 327.34 index points and the lowest value was in Azerbaijan: 46.42 index points. The indicator is available from 2017 to 2017. Below is a chart for all countries where data are available.
The average price of used electric vehicles remained well over the price for used hybrid and non-hybrid/electric cars in the United States in February 2023. That month, used EVs cost an estimated 46,400 U.S. dollars, over 13,000 U.S. dollars more than a used hybrid vehicle.
With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To solve the price problem we have created a dataset of 19237 for the training dataset and 8245 for the test dataset.
In the United States, used vehicles recorded a price decrease of around 10.3 percent year-over-year as of mid-October 2022. Luxury cars were the vehicle segment reporting the sharpest drop, with prices dipping by close to 13.5 percent. By contrast, compact car prices decreased by less than six percent. As of June 2022, the average list price for used vehicles reached over 28,200 U.S. dollars.
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United States - Producer Price Index by Industry: New Car Dealers: Vehicle Sales was 94.15500 Index Dec 1999=100 in April of 2024, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: New Car Dealers: Vehicle Sales reached a record high of 201.85900 in June of 2022 and a record low of 61.20000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: New Car Dealers: Vehicle Sales - last updated from the United States Federal Reserve on June of 2024.
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Car Prices Dataset - South Africa
This dataset provides information on car prices in South Africa, including the brand, model, model description, and price. It covers a variety of popular car models sold in the South African market, offering insights into pricing trends across brands and models etc. The dataset should serve as a useful resource for practicing data analysis.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the major research areas in machine learning. So if you want to learn how to train a car price prediction model