audi_used_car_eda's Introduction

audi_used_car_EDA

An overview on a dataset of AUDI Cars. Analysis of the data set with comparing different columns with each other, using Histogram, Scatterplot, Distribution, ECDF, Barplot, Violin plot along with proper naming and plot analysis.

The attributes of the dataset are:

model - model of the car
year - year of manufacture
price - price of the car
transmission - type of transmission in the car (Automatic, Manual and Semi-automatic)
mileage - mileage of the car
fuelType - type of fuel used in the car (Petrol, Diesel, Electric, Hybrid and Others)
mpg - miles the car run per gallon
engineSize - size of the engine used in the car

Data Visualizations Objectives:

Importing necessary python packages
Reading the excel (.csv) file
Naming the new dataFrame
Finding the number of rows and columns
Descriptive Statistics of the dataset
Finding the data types and missing values

Visualizing...

Visualizing the dataset using different plots
The top 5 selling car models in the dataset
The average selling price of the top 5 selling car models
The total sale of the top 5 selling car models
Data Set Aggregation and exploratory data analysis based on model, transmission and fuel type of the audi cars

Data Visualization:

In this project, the dataset has been visualized to observation, using bar plot, scatter plot, histogram plot, distribution plot, ECDF, violin plot and box plot.

Machine Learning Model:

I have applied One-hot Encoding, Linear Regression and Predicted the model training results. I have compared the actual and predicted target variable through visualization later also for an easy understanding.