Electric Vehicle Market Analysis Dashboard (Team Tesla)

Overview

The Electric Vehicle (EV) Market Analysis Dashboard is an RStudio-powered interactive data visualization project designed to analyze and present electric vehicle market statistics in a single, unified visual dashboard. The dashboard provides raw data exploration, interactive 3D maps, descriptive analytics, and market insights to help users understand EV adoption trends and identify the most suitable electric vehicles available today.

This project demonstrates strong proficiency in data visualization, statistical analysis, dashboard development, and R-based analytics, making it highly relevant for data analyst, business analyst, and data science portfolios.

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Objectives

• Analyze electric vehicle sales and market trends
• Provide an interactive and user-friendly data exploration interface
• Visualize EV market data using advanced charts and 3D maps
• Support data-driven insights into EV performance and adoption
• Identify optimal electric vehicles based on market data

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Dashboard Features

• Interactive Data Visualization
  Explore EV market data using dynamic charts, tables, and plots.

• 3D Geospatial Maps
  Visualize EV adoption and market distribution using interactive 3D maps.

• Raw Data Exploration
  View and interact with underlying datasets directly within the dashboard.

• Market Insights & Descriptions
  Embedded explanations and insights to guide interpretation of trends.

• Single Unified Dashboard
  Consolidates multiple analytics views into one seamless interface.

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Tech Stack

• Programming Language: R
• Visualization Framework: Flexdashboard
• IDE: RStudio
• R Packages:
  • plotly
  • tidyverse
  • ggplot2
  • reshape2
  • DT

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Skills Demonstrated

• Data Visualization and Storytelling
• Exploratory Data Analysis (EDA)
• Dashboard Development
• Statistical Analysis
• Geospatial Visualization
• Market Analysis
• R Programming

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Project Workflow

1. Data Ingestion

   • Imported and prepared EV market datasets in R.

2. Data Transformation

   • Cleaned and reshaped data using tidyverse utilities.

3. Visualization Development

   • Built interactive charts and tables using plotly and ggplot2.
   • Integrated dynamic data tables using DT.

4. Dashboard Integration

   • Combined all visual components using Flexdashboard.
   • Enabled interactivity and seamless navigation.

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Installation & Execution

Clone Repository

git clone <repository link>
cd Team-Tesla