Analyzing 500+ EV Models with Interactive Tableau Dashboard

Tech Stack

Tableau
Python
Pandas
NumPy
Data Cleaning
Statistical Analysis
Visualization
sklearn

Cleaned and normalized dataset of 500+ electric vehicles, standardizing range/battery metrics across EPA, WLTP, and NEDC standards. Built interactive Tableau dashboard with dynamic filters for price, range, brand comparisons. Implemented Python outlier detection identifying 12% data quality issues. Revealed key insights: $45k/300mi sweet spot, Korean manufacturers best value.

Live Dashboard

Overview

Cleaned and normalized dataset of 500+ electric vehicles, standardizing range/battery metrics across EPA, WLTP, and NEDC standards. Built interactive Tableau dashboard with dynamic filters for price, range, brand comparisons. Implemented Python outlier detection identifying 12% data quality issues. Revealed key insights: $45k/300mi sweet spot, Korean manufacturers best value.

Key Features

Technical Implementation

This project leverages Tableau and Python to create a robust solution. More detailed write-up coming soon.