Skip to main content
SimilarExport ZIP
100%

question1

✓ Published0🌍 Public
BBhavana Sharma
Last edited Apr 9, 2024
Created on Apr 9, 2024
Forked from Hello VizHub

This example presents a pie chart of sector percentage data loaded from a remote CSV file, rendered as SVG using D3.js v7 via the UNPKG CDN. It shows how to fetch and parse CSV data with the Fetch API and `d3.csvParse`, then visualize it using `d3.pie()` and `d3.arc()`. A categorical color scale from `d3.schemeCategory10` fills each slice, and a legend with rectangles and text labels displays the sector names and percentage values.

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…

Assignment 2 Question 1

This example shows the distribution of fruit categories using a pie chart, with each slice sized according to the value in the "4-5" column from a remote CSV file. The visualization renders as an SVG using D3 v7, with colored slices, a bold title, and an interactive legend that displays category names. D3's `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` APIs generate the chart and color scheme, while the legend uses `rect` and `text` elements to map colors to categories. The data is fetched via `d3.csv` from a GitHub gist, and labels for "Category" and "Percentage" are added as static text elements.

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

Assignment-2_Question-1

This example presents a pie chart visualizing the distribution of genres from a CSV dataset, loaded via D3’s `csv` fetcher and mapped to numerical values from the “Less than 3” column. Using D3 v7, it constructs a 600x600 SVG with `pie()` and `arc()` to generate slices, colored by `scaleOrdinal` and labeled with values at each arc’s centroid. A legend and title are added, with a color range from orange to green. The reusable `createPieChart` function encapsulates the rendering logic.

RRISHIK KURIKELLY
84% match
Loading thumbnail…

CSCE 5320 QUESTION 1 ASSIGNMNET 2

This example shows a pie chart built from CSV data, with each slice labeled by its category. The visualization loads data from a GitHub-hosted CSV file using `d3.csv` and renders the chart as an SVG. The code uses `d3.pie` to compute the arc layout, `d3.arc` for the slice geometry, and `d3.scaleOrdinal` with `d3.schemeCategory10` for colors. Slice labels are positioned using the `arc.centroid` method. The chart is created within a React-compatible HTML page, relying solely on D3 v7 and vanilla JavaScript.

Ssriharshakondakindi@gmail.com
84% match
Loading thumbnail…

QUESTION1

This example builds a pie chart from hardcoded category data using D3.js v7. It renders the visualization as SVG, using `d3.pie()` and `d3.arc()` to generate the arcs, with a categorical color scale for differentiation. The chart includes a legend, axis labels, and placeholders for X and Y axes, all created via standard D3 selections and SVG elements.

Llokeshchowdary465@gmail.com
83% match
Loading thumbnail…

Assignment-2 Question-1

This example presents a pie chart built with D3.js (v7) that visualizes categorical data by grouping rows from a CSV file by the "make" column. The chart uses `d3.pie` and `d3.arc` to generate the slices, with a color scale from `d3.scaleOrdinal` and `d3.schemeCategory10` to differentiate categories. A legend, constructed with SVG `rect` and `text` elements, maps each color to its category label. The SVG is rendered at 600x600 pixels, and the data is fetched from a remote URL via `d3.csv`.

Vvullihanumantharao@gmail.com
83% match
Loading thumbnail…

act7_question1

This pie chart visualizes fruit sales counts using a D3.js SVG renderer. The code loads CSV data from a GitHub repository, converts values to numbers, and applies the d3.pie and d3.arc layouts to generate the slices. Each segment is colored with d3.scaleOrdinal and d3.schemeCategory10, with white labels positioned at arc centroids. A legend on the right lists each fruit with its corresponding value, while the chart uses d3.csv to fetch the external dataset and d3.select to manage SVG elements.

Ssravani1969@gmail.com
83% match
Loading thumbnail…

Question 1

This pie chart visualizes fruit sales data, displaying the proportional share of each fruit category as a labeled slice with a corresponding legend. The chart is rendered as an SVG using D3 version 7, with the pie generator `d3.pie()` and arc generator `d3.arc()` calculating angular extents and centroids for labels. Data is loaded via `d3.csv` from a remote Gist, and the color scale `d3.scaleOrdinal` with `d3.schemeSet2` assigns categorical colors. The legend is built using `d3.select` and `enter()`, while sales values are cast to numeric type before creating the pie layout.

Tthokalarohith83@gmail.com
83% match
Loading thumbnail…

Activity 7 Q1

This example shows a pie chart that visualizes categorical data loaded from a remote CSV file, with each slice colored using a categorical color scale and a legend pairing colors with category and subcategory labels. The chart is rendered as SVG using D3.js v6, where the `d3.pie()` generator computes slice angles and `d3.arc()` creates the path shapes. Data is fetched via `d3.csv`, and the color mapping uses `d3.scaleOrdinal` with `d3.schemeCategory10`. The code also adds axis labels (X and Y) that are not tied to the pie chart, acting as placeholders within the SVG layout.

Vvishnutejareddyambati@my.unt.edu
83% match