Skip to main content
SimilarExport ZIP
100%

Question1

✓ Published0🌍 Public
CChandra Prakash Reddy Kalwakolu
Last edited Apr 28, 2024
Created on Apr 21, 2024
Forked from Hello VizHub

A pie chart visualizes the distribution of languages in a Netflix dataset, showing the percentage of movies per language with smaller categories aggregated into “Other.” The chart renders as an SVG using D3.js v7, with d3.pie and d3.arc generating the slices and d3.scaleOrdinal assigning colors. Hovering over slices triggers CSS transitions for tooltips displaying language and count, while a legend lists categories. Data is loaded via d3.csv from a GitHub-hosted CSV file.

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…

Task9_Question1

A pie chart shows the distribution of Netflix titles by genre, with colorful slices and a legend for identification. The chart uses `d3.pie()` to create the layout and `d3.arc()` to draw each slice, with a color scale from `d3.scaleOrdinal` and `d3.schemeCategory10`. Data is loaded from a remote CSV file, and genres are aggregated via `d3.nest()` and `d3.rollup()` to count titles per genre. The visualization is rendered as SVG, with labels inside slices and a legend at the right side.

CChandra Prakash Reddy Kalwakolu
84% match
Loading thumbnail…

Activity7_Question1_1

This example shows a pie chart of programming language usage share percentages, with each category colored via a categorical color scale and labeled with its language name and percentage value. The visualization loads data from a CSV file using `d3.csv`, processes it with `d3.pie` and `d3.arc`, and renders the chart and a legend to SVG. Labels are placed outward from the arc centroids using `arcGenerator.centroid`, and the chart uses `d3.schemeCategory10` for distinct colors. The legend lists each language with its corresponding color and usage share, while the pie slices are semi-transparent with white stroke edges.

Nnavyabade05@gmail.com
84% match
Loading thumbnail…

Activity7_Question1

This example visualizes the distribution of Netflix titles by type, showing the count and percentage of movies versus TV shows in a pie chart. The chart renders as an SVG with colored slices, percentage labels positioned at each arc’s centroid, and a legend beside the chart. Using D3 v6, the code loads data from a CSV file via `d3.csv`, aggregates counts with `d3.rollups`, and generates arcs with `d3.pie` and `d3.arc`. Color is assigned using `d3.scaleOrdinal` with `d3.schemeCategory10`.

Ggroup118sai@gmail.com
83% match
Loading thumbnail…

question1

A pie chart displays the distribution of film genres from a Movie-Rating CSV dataset, with each genre’s count calculated via `d3.rollup` and rendered using the `d3.pie` and `d3.arc` generators. An ordinal `d3.scaleOrdinal` with `d3.schemeCategory10` colors the arcs, and labels are positioned using `arc.centroid`. A legend is appended manually, while the SVG is sized at 960 by 500 pixels using D3 v7.

Jjaideeptripurani12@gmail.com
83% match
Loading thumbnail…

Activity 7.1 Q1

This pie chart displays the distribution of Netflix content types, showing the proportional share of each category in the dataset. The visualization is rendered using D3 v6 with SVG elements, employing d3.pie and d3.arc to generate the slices and d3.scaleOrdinal with schemeSet2 for color encoding. Labels are positioned at arc centroids, and a legend with counts is included. The data is loaded via d3.csv from a remote GitHub-hosted CSV file, with counts aggregated using d3.group.

Nnissisharon61@gmail.com
82% match
Loading thumbnail…

Fork of task9_question1

This pie chart visualizes the distribution of Netflix titles across genres using data loaded from a remote CSV file. The chart slices are colored with D3’s `schemeCategory10` and labeled with each genre’s percentage, which is calculated from the arc’s angular span. A legend with color swatches identifies each genre. The example demonstrates key D3 v7 APIs, including `d3.rollup` for aggregation, `d3.pie` for arc generation, and `d3.arc` for path rendering, all output as SVG.

Rravularasesh3102@gmail.com
81% match
Loading thumbnail…

Activity7_Question1

This pie chart visualizes programming language usage by developers, with each slice sized by its percentage of the total. The chart uses D3 v5's `pie` and `arc` generators to create SVG paths, with `scaleOrdinal` assigning colors from a predefined array. Percentage labels are positioned using `arcGenerator.centroid`, and a legend displays language names and values. Data is loaded asynchronously via `d3.csv` from a GitHub gist, and the `format` function formats percentage values.

VVENKATESWAR RAO CHINTA
81% match
Loading thumbnail…

Pie_chart_activity_9

This pie chart visualizes language usage distribution from a CSV file, with each slice colored by language and labeled interactively through a tooltip showing exact counts in millions. It uses D3.js v6’s `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to generate SVG paths with hover transitions, alongside a custom legend mapping the color domain. The chart loads data asynchronously via `d3.csv` and positions the pie off-center with a fixed radius, rendering static arcs with animated tooltip opacity changes.

Vvishnupriyapalagiri@gmail.com
81% match