Name: Cars Yallamotors
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Cars Yallamotors

The data you mentioned, scraped from the YallaMotors website, typically includes detailed information on cars for sale, such as car names, prices, mileage, and dealer details. This dataset is perfect for machine learning applications, including algorithms like linear regression, which can help analyze price trends, predict car prices, or identify patterns in car sales. The dataset, usually around 6750 rows with 9 columns, is well-suited for both exploratory data analysis and training machine learning models.

To explore such data or view relevant projects, you can check out similar repositories on GitHub, such as Abdulrahmankhaled11's Yalla Motors Scraping project. This involves scraping car listings, converting the data into a pandas DataFrame for analysis, and could be a helpful starting point if you're looking into web scraping for analysis or machine learning.

Tables

Cars New

@kaggle.willianoliveiragibin_cars_yallamotors.cars_new

109.52 KB
6308 rows
9 columns


CREATE TABLE cars_new (
  "car_name" VARCHAR,
  "price" VARCHAR,
  "engine_capacity" VARCHAR,
  "cylinder" VARCHAR,
  "horse_power" VARCHAR,
  "top_speed" VARCHAR,
  "seats" VARCHAR,
  "brand" VARCHAR,
  "country" VARCHAR
);