The Monthly Car Sales Analysis project uses data analytics, machine learning, and time series forecasting to track and predict car sales trends. It explores patterns by brand, model, region, and season, identifies consumer preferences, and generates insights that support marketing, inventory, and strategic decision-making in the automobile industry

The Monthly Car Sales Analysis project uses data analytics, machine learning, and time series forecasting to track and predict car sales trends. It explores patterns by brand, model, region, and season, identifies consumer preferences, and generates insights that support marketing, inventory, and strategic decision-making in the automobile industry

Project Exploring Ebay Car Sales Data - Dataquest.io

Project of data science that explore cars sales to predict future sales based on the characteristics of the most sold cars.

I've just unveiled a groundbreaking Power BI car sales dashboard that's not just visually stunning but loaded with insights for aspiring data analysts. Explore key data metrics, from total sales to profit growth, and discover intriguing patterns in sales segments, booking types, car colors, and regional trends.

Welcome to the Car Price Prediction EDA project! On my third day of practicing Exploratory Data Analysis (EDA) in data science, I'm excited to explore the fascinating world of data analysis. After successfully navigating the complexities of the Diwali Sales Data on my first day, I'm now diving into the realm of car price prediction.

This project features an end-to-end Car Sales Analytics Dashboard built using Power BI. It provides deep insights into sales trends, pricing behavior, dealership performance, and customer purchasing patterns. The dashboard is divided into two interactive sections: Overview and Details, allowing users to explore data at both high and granular level.

A guided data science project on exploring Ebay car sales data

Exploring Ebay Car Sales Data/ DataQuest Guided Project (cleansing and analyzing data)

Exploring and Analyzing Sales data of a Car Dealership in SQL

This repository presents an exploratory analysis of Kaggle's dataset (Exploring Ebay Car Sales Data) with seven graphs.

Data storytelling project using Power BI to analyze car sales data. Explores how features like price, engine size, and horsepower impact market success through clear, insightful visualizations.

This project presents a comprehensive analysis of car sales in the United States using Python. It explores sales trends, top-performing brands and models, seller activity, and geographic distribution of sales through data visualizations and statistical summaries.

This project explores car sales data to uncover trends, customer preferences, and key performance metrics. It uses SQL for data querying, Excel for data analysis, and Power BI for interactive dashboards.

This project explores and visualizes used car sales data from **Autotrader UK** to uncover insights about pricing, brand popularity, fuel types, mileage trends, and more.

This repository hosts a car sales web application with User and Admin pages. Users can authenticate to view cars, while Admins manage listings and user accounts. Data is stored in a MySQL database using PHP, HTML, and CSS. Explore the sleek interface and efficient functionality to experience seamless car sales management!

"Used Cars YAZ" A data analysis project exploring used car sales in Egypt. Data from Hatla2ee website includes price, mileage, model, city, and more. Tasks include cleaning data, detecting outliers, and generating insights to understand market trends. Tools: Python, SQL, Tableau, Excel.

This repository contains a detailed multiple regression analysis of car sales data. The project was conducted using Microsoft Excel, utilizing built-in data functions and advanced charting features to explore relationships between variables and build predictive models.

The "Exploring Trends In The Automotive Industry" Project Involved The Creation Of An Interactive Tableau Dashboard To Visualize And Analyze Used Car Sales Data. The Primary Objectives Of This Project Were To Provide Valuable Insights Into Sales Trends, Compare Performance Across Various Parameters, And Facilitate Data-Driven Decision-Making.

This project uses Power BI to analyze car sales data from Kaggle . It provides interactive dashboards to explore sales trends, top-selling models, vehicle specs, pricing, and resale value. Using DAX measures, filters, and charts, the project helps visualize insights and supports data-driven decisions in the automotive market.

A data analysis project on car sales using a Kaggle dataset with 23,907 records. It explores trends in pricing, customer demographics, and dealership performance. Featuring advanced analytics with SAS and Tableau, it includes clustering, ANOVA, and interactive visualizations for strategic insights into the automotive market.

Used regression modeling to target the sales price of used cars from a real-world messy data set of over 500K actual transactions. Utilized a combination of Python, Scikit-learn and Seaborn to explore the data for drivers of selling price, then used XGRegressor to create a model that beat the Manheim Market Valuator by 16%.

Exploring Ebay Car Sales Data

Exploring eBay Car Sales Data

Exploring Ebay Car Sales Data

Exploring Ebay Cars Sales Data

Exploring Ebay Car Sales Data

Exploring eBay Car Sales Data

Exploring Ebay car sales data

Exploring eBay Car Sales data