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Activity 6 Task 2

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Nnalinreddy96@gmail.com
Last edited Apr 5, 2025
Created on Apr 5, 2025
Forked from HTML Starter

A stacked horizontal bar chart displays car sales percentages across six regions for five vehicle types. The chart uses d3.scaleBand for regional categories and d3.scaleLinear for the percentage scale, with d3.stack organizing the cumulative segments. Data from a CSV file is rendered as SVG rectangles, colored via d3.scaleOrdinal, and includes interactive tooltips on mouseover showing exact percentages.

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MIT Licensed

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Activity 6_Task 2 Question

This stacked bar chart shows the percentage distribution of sales across four product categories—Books, Toys, Kitchenware, and Sports—broken down by the North, South, East, and West regions. Using d3.stack and d3.scaleOrdinal, the SVG visualization groups color-coded segments for each region, with axes formatted as percentages and a legend identifying region colors. The data comes from a hardcoded JavaScript array, rendered with d3.axisBottom and d3.axisLeft, and includes interactive tooltips via appended title elements.

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Activity 6 task 2 Q2

This example presents a stacked bar chart showing the sales distribution of four product categories (Electronics, Clothing, Furniture, Groceries) across four regions (North, South, East, West), with each bar segment colored by region and displaying a hover tooltip with the exact percentage. Built with D3.js v5 and rendered as an SVG, the visualization uses `d3.stack()` to create stacked series from the in-memory `salesData` array, `d3.scaleBand` for the categorical x-axis, and `d3.scaleLinear` for the percentage-based y-axis. A legend identifies regions, and both axes include descriptive labels.

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Activity 6_Question 2

This example visualizes the distribution of product sales across five regions as a stacked horizontal bar chart, using data from a CSV file with product rows and regional percentage columns. D3.js v7 with SVG rendering builds the chart, where each bar segment’s length encodes the percentage value per region, and tooltips reveal precise sales figures on hover. The code leverages `d3.csv` for data loading, `d3.stack` for computing the stacked layout, and `d3.scaleOrdinal` to assign colors to regions, with axes and legends generated via D3’s scaling and axis APIs.

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activity6_question2_11719493

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Activity6_Q2

This stacked bar chart displays automobile sales across a 12-month period, segmented by vehicle type (e.g., Supperminicar, Mediumfamilycar, Smallfamiliycar, Sports). The x-axis lists years, and the y-axis shows total sales, with each bar partitioned by color-coded vehicle categories via a legend. Built with d3.v6 and SVG rendering, the code uses `d3.stack()` to aggregate sales, `d3.scaleBand()` for the x-axis, `d3.scaleLinear()` for the y-axis, and `d3.schemeSet2` for colors. It also includes hover tooltips showing exact sales values. The data originates from `historical_automobile_sales.csv`, which provides variables like price and recession indicators, though the chart focuses solely on sales counts. The visualization uses `d3.axisBottom` and `d3.axisLeft` for axes with rotated labels, and applies `d3.select` for DOM manipulation.

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