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1 Final Stacked Bar Chart with HTML

This interactive dashboard visualizes BMW model sales performance from 2010–2024, using a stacked bar chart to compare sales volumes across regions and years. Users can filter by geographic region, sort bars by total sales or specific models, and click bar segments or legend items to highlight individual models with smooth opacity transitions. Built with D3.js v7, the visualization uses SVG rendering with animated transitions and interactive tooltips, reading data from a CSV file containing model, region, year, and sales volume information.

86% match

Making Meaning of BMW Sales Volume Bar Chart

This interactive dashboard uses D3.js v7 to visualize BMW sales data from 2010-2024, displaying key metrics, a timeline of sales across six markets, top-selling models, regional distribution, fuel type comparisons, and yearly trends. The visualization employs SVG rendering with animated transitions, tooltips, and annotations that highlight peak sales periods and best-selling models. Data loaded from a CSV file is aggregated and processed using D3 rollups to compute summary statistics.

85% match

1 Final Stacked Bar Chart with HTML

This stacked bar chart visualizes BMW sales volumes from 2010 to 2024, segmented by car model with interactive region filtering. The animation, implemented with D3.js v7, smoothly transitions between regions while hovering over bars reveals detailed tooltips. The visualization uses SVG rendering with d3.stack for stacking and d3.rollups for data aggregation, sourced from a CSV file containing model, year, and regional sales data.

85% match

Interactive Stacked Bar Chart of BMW volume of sales

This dashboard visualizes BMW sales data through an interactive stacked bar chart, showing sales volume by model and year. It includes summary cards with key metrics, insights highlighting top-selling models, and secondary charts for price trends and regional comparisons. Built with D3.js v7 and rendered as SVG, the visualization features region filtering via dropdown, hover tooltips for detailed information, and clickable legend items to highlight specific models. Data is loaded from a CSV file containing model, region, price, and sales volume fields.

85% match

BMW sales data 2010-2024

This chart displays total BMW sales volume by model from 2010 to 2024, aggregating the dataset’s `Sales_Volume` per `Model` and sorting the bars in descending order. Built with D3 v7, it uses the `d3.csv` loader to parse the data, `d3.scaleLinear` and `d3.scaleBand` to map values to the SVG canvas, and `d3.axisBottom` and `d3.axisLeft` to render the axes. Each bar is appended as an SVG `<rect>`, with a `<text>` element labeling the exact sales count.

Bar Chart of BMW volume of sales

This bar chart shows BMW sales volumes over time, grouped by year and colored by the region. Each year displays a cluster of bars representing different global markets, such as the USA, Brazil, and China. Users can click on a country in the legend to highlight its bars in a specific color while dimming others to grey. Built with D3.js v7, the visualization uses `d3.rollups` to aggregate sales data from a CSV file and `d3.scaleOrdinal` for color mapping, with a tooltip providing detailed data on hover.

Ssaiabhishekmunnangi@gmail.com

Fork of Pathetic Bar Chart

This bar chart shows the average sales volume for each BMW model, computed from a CSV dataset of car sales spanning 2010 to 2024. The visualization uses D3.js to group the data by model and calculate the mean sales volume, then renders these aggregates as a series of rectangles. The chart is built with SVG, with axes rotated for readability, and bars that highlight on hover. The visualization is implemented as a React component that loads data asynchronously.

BMW SALES DASHBOARD

This interactive BMW sales dashboard uses a tabbed interface to switch between an animated bubble chart of annual sales trends (2010–2024), a bar chart of total sales by model, a map with proportional bubbles for regional distribution, and a stacked bar chart classifying high versus low sales volume by region. The annual chart employs `d3.scaleSqrt` for bubble sizing, `d3.rollups` for data aggregation, and `d3.scaleBand` for model legends, with checkbox filters and play/pause controls. The other charts use `d3.rollups`, `d3.scaleBand`, `d3.scaleLinear`, and `d3.geoMercator` projection with `d3.geoPath`. All tooltips and bars rely on declarative `join` operations, sourcing data from a CSV.