rohith4088 / ev_segmentation Goto Github PK

EV Market Segmentation using two datasets mainly revovling around vehicle sepcification and behaviour sepcified

1. Vehicle Specifications: This dataset contains information about the vehicles such as make, model, year of manufacture, body type, engine type, fuel type, transmission type, price etc.
2. behaviour specified: the dataset contains information the Age Profession Marrital Status Education No_of_Dependents Personal_loan Total_Salary Price
3. The segmentation of the data for both the dataset is done using KMeans Clustering, for the behaviour segmentation principle component analysis is done for dimensionality reduction of the data, and the each column and amde into eight principle compinents.
4. The final represntation for both the datasets are done using dendograms.
5. some relevangt graphs for vehicle sepcific segmentation This line plot represnts the data distribution for the vehicle specific segmentation

A clusterplot for the data

Elbow test for finding the optimum value of k in KmMeans cluster

clusters based on top speed and range

Dendogram represntation

6. some relevant graphs personal prefrence based segmentation

Scatter plot for data distribution

principle component analysis

elbow method for finding the optimum value of k

clusters formed by considering all eight attributes in the data