Skip to main content
SimilarExport ZIP
100%

Task 9 Question 2

✓ Published0🌍 Public
Cchintamanenithp@gmail.com
Last edited Apr 29, 2024
Created on Apr 29, 2024
Forked from Hello VizHub

This example displays an area chart of highway MPG values grouped by vehicle make, using a steel-blue filled path to emphasize the distribution across categories. The visualization is rendered as an SVG via D3 v7, with data fetched from a remote CSV file and parsed using `d3.csvParse`. It employs `d3.scaleBand` for the categorical x-axis, `d3.scaleLinear` for the y-axis, and a `d3.area()` generator to create the shaded region. Axes are added using `d3.axisBottom` and `d3.axisLeft`, with rotated x-axis labels for readability.

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…

Task-9&10 Q2

This area chart compares three car attributes—horsepower, torque, and highway MPG—across different car makes using overlapping filled paths. Built with D3 v7, the visualization loads CSV data via `d3.csv`, scales values with `scaleBand` and `scaleLinear`, and renders the three series using `d3.area` paths in steelblue, orange, and green. The SVG output includes rotated x-axis labels, a legend, and axis titles, with the data sourced from a raw GitHub CSV file.

Ttallurisaiteja96@gmail.com
85% match
Loading thumbnail…

DV ASSIGNMENT-2.2

This example visualizes highway fuel efficiency across vehicle makes using a D3 area chart rendered as SVG. The chart maps car makes along the x-axis and their highway miles-per-gallon values along the y-axis, with a semi-transparent steel-blue area filling the region beneath the line. It fetches a remote CSV dataset, parses it with `d3.csvParse`, and uses `d3.scaleBand`, `d3.scaleLinear`, and `d3.area` to construct the visualization. Custom axis styling rotates the x-axis labels for readability, and the code demonstrates loading D3 v7 via CDN and ES6 module imports.

Ggoudasrija@gmail.com
82% match
Loading thumbnail…

Task-8(Question-2)

This visualization shows a horizontal stacked bar chart comparing three car attributes—horsepower, torque, and highway MPG—across 31 car makes. The data is loaded from a CSV file using d3.csv, and the stacked layout is created with d3.stack(). The x-axis uses a linear scale to represent cumulative values, while the y-axis uses d3.scaleBand for categorical car makes. Color encoding is applied via d3.scaleOrdinal with a defined range, and the chart includes an x-axis, y-axis labels, and a legend rendered in SVG.

Ttallurisaiteja96@gmail.com
81% match
Loading thumbnail…

task 9 question 2

This area chart visualizes monthly values across seven months, with data loaded from a GitHub Gist. The chart uses D3 v7’s `d3.area()` generator to create a yellow filled path beneath the line, while `d3.scaleBand()` and `d3.scaleLinear()` define the x-and y-axes. Axes are rendered with `d3.axisBottom()` and `d3.axisLeft()`, and labels for “Month” and “Value” are added as SVG text elements. The visualization is drawn entirely in SVG within a 600x400 viewport.

Ppasumarthiraghuram21@gmail.com
80% match
Loading thumbnail…

Task9_Question2

This area chart visualizes a time series dataset loaded from a CSV file via `d3.csv`. It displays data points on a linear `xScale` (Year) and `yScale` (Value), with a purple filled path generated by `d3.area()`. The chart includes SVG axes rendered with `d3.axisBottom` and `d3.axisLeft`, labeled "Year" and "Value". The code runs within a React environment using D3 v7, appending elements to an HTML div with an SVG.

BBindumadhavi
80% match
Loading thumbnail…

Task9_Question2

This area chart visualizes carbon emissions production across multiple countries over time, using stacked colored regions to compare annual values. The code loads data from a CSV file via `d3.csv` and renders SVG paths using the `d3.area` generator, with `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. It includes custom axis labels, rotated tick text, and an interactive legend built with SVG rectangles. Colors are assigned sequentially using HSL values, and axes are generated with `d3.axisBottom` and `d3.axisLeft`.

KKeerthi
80% match
Loading thumbnail…

task_9&10 question_2

This example shows the average horsepower, torque, and highway MPG for 31 car brands as a stacked area chart rendered as SVG. The data is aggregated by brand and drawn using D3 v5’s `d3.stack()`, `d3.area()`, and `d3.scaleBand()` on a categorical x-axis. Each layer is filled with a `d3.schemeCategory10` color, and the y-axis is scaled linearly. The chart is built with standard D3 selections and the `join()` pattern for the path elements.

Sskykarthik97@gmail.com
80% match
Loading thumbnail…

Task2Q1

This example uses a stacked bar chart to compare performance metrics (horsepower, torque, and highway MPG) across seven car makes from a CSV file. Built with D3 v7, it loads data via `d3.csv`, formats values with `d3.format`, and renders SVG bars using `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. Segments are colored via `d3.scaleOrdinal`, and interactive tooltips reveal exact values on hover using D3's event handlers.

Bbhavanadupati3@gmail.com
80% match