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New BMW Global Sales Analytics Dashboard

✓ Published0🌍 Public
BBismark Kofi Owusu Sarfo
Last edited Dec 3, 2025
Created on Dec 3, 2025

This D3.js v7 dashboard analyzes synthetic BMW vehicle sales data loaded from a CSV file, presenting six interactive chart types that users can toggle between using dropdown filters. The interface displays summary cards, insight metrics, and region-filtered visualizations including stacked bar charts of model sales by year, line charts of regional sales trends, an area chart of average prices, donut chart of price classifications, and horizontal bar rankings. All charts support hover tooltips with boundary-checked positioning, legend filtering, and click-to-open modal magnification with keyboard escape functionality. The dashboard adapts responsively across desktop, tablet, and mobile breakpoints.

AI-generated description

BMW Sales Dashboard

A responsive, interactive data visualization dashboard built with D3.js for analyzing BMW vehicle sales data.

Features

  • Responsive Design: Optimized for laptop (1366px+), tablet (768px-1200px), and mobile (<768px)
  • Dynamic View Switching: Toggle between 6 different visualization types
  • Region Filtering: Filter data by specific regions or view global overview
  • Summary Cards: Quick metrics including total BMW sales, average price, and more
  • Insight Cards: Key performance indicators and statistical insights
  • Interactive Charts: Hover tooltips with clear positioning, smooth transitions, and legend interactions
  • Magnifiable Charts: Click any chart to open an enlarged version in a modal overlay
  • Yearly Trend Analysis: All data aggregated and displayed by year for comprehensive BMW sales trends
  • Clean Layout: No overlapping elements, proper spacing throughout

Available Views

  1. Sales Analysis (Stacked Models) - Stacked bar chart showing BMW sales by model per year
  2. Sales Trend by Region - Line chart tracking regional BMW sales trends over years
  3. Average Price Over Time - Area chart showing average BMW vehicle prices by year
  4. Sales by Region (Bar) - Horizontal comparison of BMW sales across regions
  5. High vs Low Price Share (Donut) - Donut chart showing BMW sales classification distribution
  6. Sales by Model (Horizontal Bars) - Top 10 BMW models ranked by sales volume

Getting Started

  1. Place data.csv, index.html, and script.js in the same directory
  2. Open index.html in a modern web browser
  3. Use the dropdown filters to select region and visualization type
  4. Hover over chart elements for detailed tooltips
  5. Click any chart to open a magnified view with enhanced readability

File Structure

  • index.html - Main dashboard markup and styling
  • script.js - D3.js visualization logic and data processing
  • data.csv - BMW sales data source
  • README.md - Documentation

Requirements

  • Modern web browser (Chrome, Firefox, Safari, Edge)
  • D3.js v7 (loaded via CDN)
  • Local web server recommended for serving CSV file (optional for many browsers)

Responsive Breakpoints

  • Desktop (≥1200px): Full layout with optimized spacing
  • Tablet (768px-1200px): Two-column grid layout
  • Mobile (<768px): Single-column layout with stacked filters
  • Small Mobile (<480px): Compact view with adjusted font sizes

Key Features & Improvements

✓ All "YTD" labels replaced with "BMW" ✓ "Weekly" analysis changed to "Yearly" for all charts ✓ Data aggregated by year instead of by week ✓ Magnifiable charts - click to open enlarged modal view ✓ Enhanced tooltips in magnified view ✓ Smooth modal open/close animations ✓ Keyboard support (ESC to close modal) ✓ Fixed overlapping header elements ✓ Improved tooltip positioning with boundary checking ✓ Better grid layout with auto-fit columns ✓ Cleaner visual hierarchy and spacing ✓ Enhanced legend readability ✓ Consistent typography and colors ✓ Better touch targets on mobile devices ✓ Improved accessibility throughout

Modal Features

  • Click any dashboard chart to magnify it
  • Use keyboard (ESC) or click close button to dismiss
  • Full interactivity maintained in magnified view
  • Tooltips remain fully functional
  • Responsive design adapts to different screen sizes
  • Smooth transitions and consistent styling
MIT Licensed

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