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

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Analysis of second-hand car sales data using regression, clustering, and ANN for price prediction and pattern discovery.

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

Assignment About the data: Let’s consider a Company dataset with around 10 variables and 400 records. The attributes are as follows: Sales -- Unit sales (in thousands) at each location Competitor Price -- Price charged by competitor at each location Income -- Community income level (in thousands of dollars) Advertising -- Local advertising budget for company at each location (in thousands of dollars) Population -- Population size in region (in thousands) Price -- Price company charges for car seats at each site Shelf Location at stores -- A factor with levels Bad, Good and Medium indicating the quality of the shelving location for the car seats at each site Age -- Average age of the local population Education -- Education level at each location Urban -- A factor with levels No and Yes to indicate whether the store is in an urban or rural location US -- A factor with levels No and Yes to indicate whether the store is in the US or not The company dataset looks like this: Problem Statement: A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A decision tree can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis.

KPI for Cars sales analysis for Win and Loss - A Data Analysis using Excel and Tableau

eBay car sales - data analysis

Here we going to have a look on Car sales data analysis of Different brands sales

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The primary objective of the Power BI project is to analyze trends in used car sales in Germany.

An interactive report and presentation providing analysis of UK car sales data (2023-2024)

Analysis on car sales data using Excel functions including, SUMIF, VLOOKUP, Sparklines and Pivot Tables.

This project analyzes car sales data to track YTD, MTD, and YOY performance. It includes interactive dashboards showing sales trends, body style and color distribution, average price analysis, and key KPIs to support data-driven business decisions.

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.

Ford PriceSense is a machine learning project that predicts the optimal resale price of Ford cars based on historical sales data. The project covers data cleaning, exploratory data analysis, and model development using linear, polynomial, and ridge regression techniques, with hyperparameter tuning via grid search to achieve the best performance.

Exploratory data analysis using NumpY & Pandas and Data visualization rich libraries of Python on Car Sales data set

CAR sales analysis - A data analysis on a car sales dataset

Analysis on the car sales data

Exploratory Data Analysis of Car Sales

Exploratory Data Analysis of Ebay Car Sales Data

BMW Car sales data analysis using python

Data analysis project using car sales dataset

Analysis of Data of eBay Car Sales.

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Data analysis with python for car sales. shown which car models are the top sellers and how sales are distributed. how insights are shape the company’s next big move in the market. Created bar charts and pie charts to show the sales of different car models. Key Concepts: Data visualization, Matplotlib, Plotly, Pyhton, Numpy, Ms Excel.

Data analysis project on car sales dataset using Excel. Includes data cleaning, exploratory data analysis (EDA), and insights visualization.

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.

Power BI Car Sales Dashboard for analyzing KPIs, trends, and business insights.

The commands that I used in this project;- import pandas as pd - * pd.read_csv - * head() - * shape * df.isnull( ) .sum( ) dataframe. * fillna() * value_counts -* isin() * apply() Operation Performed - Data Cleaning,

Data analysis of Ebay Car Sales using Python.