Skip to main content
SimilarExport ZIP
100%

Act6_q2

✓ Published0🌍 Public
Pp99vijaya@gmail.com
Last edited Oct 25, 2024
Created on Oct 25, 2024

This example shows a stacked bar chart of three region values across four years, with each bar segment colored by region and labeled with year and value axes. The chart is rendered as SVG using D3 v7, leveraging `d3.stack()` to compute the layered series, `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.schemeSet2` for categorical colors. The data is embedded directly in the script rather than loaded from the CSV file, and axes are added via `d3.axisBottom` and `d3.axisLeft`.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

act6 q2

This example shows a stacked bar chart of sales by category across four quarters, with tooltips revealing exact values per segment. It uses D3 v7’s `d3.stack`, `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisLeft`/`axisBottom` to render an SVG. The code loads data from a local CSV, applies an ordinal color scale, and builds an interactive hover tooltip with D3 selections.

Sshravan.s0710@gmail.com
84% match
Loading thumbnail…

Activity 5_Question 3

A stacked bar chart displays regional product sales across four regions, with each bar segmented by product category. The visualization uses D3 v7’s `d3.stack`, `d3.scaleBand`, `d3.scaleLinear`, and `d3.scaleOrdinal` to render SVG rectangles with color-coded segments per product. Data loads from a CSV file via `d3.csv` with `d3.autoType`, and axes are generated using `d3.axisBottom` and `d3.axisLeft`. A legend maps product names to their ordinal color range, annotating each segment’s contribution.

Ppenujulilikhil01020@gmail.com
82% match
Loading thumbnail…

Activity-6_Question-2.3

This stacked bar chart displays regional sales data for three products across four regions, using a categorical color scale to distinguish each product category. Built with D3 v7, the visualization imports data from a local CSV file and applies d3.stack() to layer the series, with d3.scaleBand() for the x-axis and d3.scaleLinear() for the y-axis. Axes are rendered using d3.axisBottom() and d3.axisLeft(), while a custom legend reflects the stacked order. The SVG output includes hover styling defined in the accompanying CSS.

Ttarun.chintada46@gmail.com
81% match
Loading thumbnail…

Activity_6_Question 2.3

A stacked bar chart displays regional product sales, with each bar segmented by product category (productA, productB, productC) and colored via a categorical scale. The visualization loads CSV data with d3.csv and d3.autoType, then uses d3.stack to compute the stacked series. d3.scaleBand maps regions to x positions, d3.scaleLinear maps sales values to y positions, and d3.axisBottom and d3.axisLeft render the axes. A legend groups color swatches and labels, while the SVG output is generated entirely in d3.v7.

Kkesava
81% match
Loading thumbnail…

Act6 q2

A stacked bar chart displays product sales across four quarters, broken down by category (Electronics, Office Supplies, Furniture). The chart uses D3 v7 APIs like `d3.stack`, `d3.scaleBand`, and `d3.scaleLinear`. Data loads from a CSV file, and hover interactions reveal category sales via a tooltip. The visualization renders in SVG with color-coded segments per category and an ordinal color scale.

Ssrilekhasridasyam@my.unt.edu
81% match
Loading thumbnail…

Activity6_Task2_Qus3

This stacked bar chart displays the percentage of fruit sales across four regions: North, South, East, and West, with each bar representing a fruit type and colored segments showing regional proportions. Hovering over a segment reveals a tooltip with the exact percentage for that fruit-region combination. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked segments, `d3.scaleBand()` for the categorical y-axis, and `d3.scaleLinear()` for the percentage x-axis. The data comes from the embedded `sales.csv` file, and the SVG output includes a legend and axis labels.

Aamarnadhkari98@gmail.com
79% match
Loading thumbnail…

Activity-8_Question-2

This example presents a stacked bar chart that visualizes product sales (productA, productB, productC) across four regions (North, South, East, West). It uses D3 v7 to load a CSV file, stack the data, and render SVG bars with a categorical color scale. The chart includes axes for region and sales totals, and a legend identifying each product's contribution to the stack.

Mmanideepchinna25@gmail.com
79% match
Loading thumbnail…

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.

BBharath Vupputuri
79% match