Skip to main content
SimilarExport ZIP
100%

Questuion 2

✓ Published0🌍 Public
Jjyothirmaijyothi2017@gmail.com
Last edited Apr 28, 2024
Created on Apr 28, 2024
Forked from Hello VizHub

This example displays a stacked area chart comparing three categories (A, B, C) over a five-year span from 2010 to 2014. The visualization uses D3.js v7, specifically the `d3.stack`, `d3.area`, `d3.scaleBand`, and `d3.scaleLinear` functions to compute the stacking and generate the SVG paths. Each category is colored using the categorical palette `d3.schemeCategory10`. The chart includes labeled axes for year and value, with margins applied to the SVG canvas for proper layout.

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…

Question 2

A stacked area chart displays traffic dataset values across months, with six colored categories representing different factors. The visualization uses d3.csv to load the data, d3.stack to compute the stacked series, and d3.area with d3.scaleBand and d3.scaleLinear for positioning. SVG paths render each area with an ordinal color scale, while the x-axis labels rotate for readability. A custom HTML legend with colored circles identifies each category.

Sswapnadabburi@my.unt.edu
84% match
Loading thumbnail…

question 2

This example shows a stacked area chart that visualizes fruit quantities (apples, oranges, bananas) over time, with three semi-transparent colored layers representing each fruit category. The visualization uses D3.js v7 to load CSV data from a GitHub repository, then applies `d3.stack`, `d3.area`, and `d3.scaleBand`/`d3.scaleLinear` to compute and render the stacked areas as SVG paths. Axes with year and quantity labels are added via `d3.axisBottom` and `d3.axisLeft`.

SSowjanya Devupalli
83% match
Loading thumbnail…

question 2

This example demonstrates how to create a stacked area chart using D3.js, visualizing fruit quantities across multiple years. The chart renders three overlapping areas representing apples, oranges, and bananas, with color-coded fills from the `d3.schemeCategory10` palette. The code imports data from a remote CSV file, uses `d3.stack()` to compute stacked series, and applies `d3.area()` with `d3.scaleBand()` and `d3.scaleLinear()` to generate the SVG paths. Axes and labels are added using `d3.axisBottom()` and `d3.axisLeft()`, with hover-free static rendering.

KKarnam Abinay Goud
82% match
Loading thumbnail…

Question2

A stacked bar chart displays quarterly sales by product category, with categories on the y-axis and sales totals on the x-axis. The visualization uses D3 v7's `d3.stack`, `scaleBand`, `scaleLinear`, and `scaleOrdinal` APIs to construct the chart, with tooltips revealing the category and sales amount per segment. Data from the CSV file is loaded and rendered as SVG rectangles, with an interactive legend and axis labels. The code leverages D3's declarative `.join` pattern for efficient element updates.

Gganesh.hns48@gmail.com
81% match
Loading thumbnail…

new

This stacked area chart visualizes how three categorical values (A, B, and C) contribute to a total across five years, from 2010 to 2014. The chart uses translucent areas with a category-10 color scheme to show the changing composition over time. Built with D3.js v7, the implementation stacks the dataset using `d3.stack`, scales the X-axis with `d3.scaleBand`, and the Y-axis with `d3.scaleLinear`. Paths for each area are generated via `d3.area`, and the SVG axes are rendered using `d3.axisBottom` and `d3.axisLeft`.

Jjyothirmaijyothi2017@gmail.com
80% match
Loading thumbnail…

Question 2

A stacked bar chart visualizes sales performance by region, breaking down percentages across four product categories using data from a local CSV file. The chart employs D3 v7's `d3.stack` and `d3.scaleBand` to render SVG rectangles, with a tooltip triggered by mouse events. An ordinal color scale maps categories, and axes display percentage values. The static title and legend complete the presentation, showcasing local module imports alongside the D3 library.

Aasimcyb@gmail.com
80% match
Loading thumbnail…

Activity 7 question 2

This example demonstrates a stacked area chart that visualizes fruit quantities across years. The visualization uses D3.js v7 to load CSV data from a GitHub repository and render the stacked areas with a categorical color scheme. The code employs D3's `d3.stack()`, `d3.area()`, `d3.scaleBand()`, and `d3.scaleLinear()` APIs to construct the chart, along with `d3.axisBottom()` and `d3.axisLeft()` for axes. The SVG output is styled with semi-transparent areas and labeled axes for year and fruit quantity.

SSowjanya Devupalli
79% match
Loading thumbnail…

Assignment2_d2.js_Question2

This area chart shows how three categories—A, B, and C—trend upward from 2010 to 2024, with stacked filled regions emphasizing their cumulative growth. The visualization uses Plotly.js’s `Plotly.newPlot` to render scatter traces with `fill: 'tozeroy'` and `fill: 'tonexty'` modes, creating layered area shading. Data is hardcoded as arrays in the script, with category names assigned via the `name` property. The layout specifies axis titles and the overall chart title.

Aakitisaitejareddy@gmail.com
79% match