Skip to main content
SimilarExport ZIP
100%

Question1-1 Anil

✓ Published0🌍 Public
AAnilKumarReddyVanteru@my.unt.edu
Last edited Apr 29, 2024
Created on Apr 29, 2024
Forked from ques1 supriya

This pie chart visualizes the distribution of horsepower across different car makes, with each slice colored by a categorical color scale. The data is loaded from a remote CSV file using `d3.csv`, and numerical values for horsepower, torque, and highway MPG are parsed into numbers. The chart is rendered as SVG using `d3.pie` and `d3.arc` to compute and draw the slices, while a legend built with `d3.scaleOrdinal` and `d3.schemeCategory10` identifies each make. The visualization demonstrates basic D3 v6 data binding and SVG rendering techniques.

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…

Question1-1 Anil

This example shows a pie chart of car horsepower by make, with a color-coded legend for each manufacturer. Built with D3 v6, it loads CSV data from GitHub, parses numeric values, and uses `d3.pie` and `d3.arc` to generate the SVG slices. A `d3.scaleOrdinal` with `schemeCategory10` maps makes to colors, while `d3.csv` handles asynchronous data fetching. The chart includes a custom legend built from `color.domain()`, rendered as SVG rectangles and text.

AAnilKumarReddyVanteru@my.unt.edu
95% match
Loading thumbnail…

Question 1-1 Anil

A pie chart from d3.v5 displays the top 10 car-producing countries in 2019, using data loaded via `d3.csv` from a GitHub Gist. Each slice’s size corresponds to a country’s total production value, with a color-coded legend listing country names and formatted totals using `d3.format`. The chart is rendered as an SVG, with slices generated using `d3.pie` and `d3.arc`, and legends positioned via `d3.select` and `d3.append`.

AAnilKumarReddyVanteru@my.unt.edu
88% match
Loading thumbnail…

Question1_A1

This pie chart visualizes the distribution of car horsepower across different makes, using D3 v7 to render SVG arcs and labels. The chart encodes horsepower values as arc sizes and colors each segment by car make, with a legend positioned to the right. Labels are placed along the arcs using `d3.arc`’s centroid method, and the data comes from an inline array of `{make, horsepower}` objects. A hover effect on the paths provides subtle interactive feedback.

Vvarmanithish5@gmail.com
86% match
Loading thumbnail…

Question 1-1 Anil

This visualization shows the top 10 car-producing countries in the world, with each country’s 2019 total vehicle output represented as a proportional slice of a pie chart. The data is loaded from a CSV file via `d3.csv` and parsed asynchronously, with values summed from the year 2019. The chart is rendered using D3 v5’s `pie()` and `arc()` generators to compute segment angles, with `scaleOrdinal` providing a fixed color palette for each country. SVG elements, including the pie slices, a legend with colored circles, and formatted text labels using `d3.format`, are appended and positioned manually within the main SVG container.

AAnilKumarReddyVanteru@my.unt.edu
86% match
Loading thumbnail…

Question 1-1 Anil

This D3.js v5 visualization shows the top 10 car-producing countries in the world based on 2019 data from a CSV file loaded via a Gist URL. A pie chart displays each country's total production value, with a color-coded legend to its right listing country names and their corresponding values in thousands. The visualization uses `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to compute slice angles, render SVG paths, and assign colors. Data is processed by summing the "2019" column, and values are formatted with `d3.format`. The SVG output is styled with external CSS.

AAnilKumarReddyVanteru@my.unt.edu
85% match
Loading thumbnail…

Question1-1 Anil

This pie chart visualizes the total value of movies by country for 2019, with each slice colored and paired with a legend showing country names and their corresponding values in thousands. The visualization uses D3 v5’s `pie`, `arc`, `scaleOrdinal`, and `format` APIs to compute slice angles, render SVG paths, and label the data. Data is loaded asynchronously from a CSV gist via d3.csv, and the chart is drawn using SVG elements within a 960×500 viewport.

AAnilKumarReddyVanteru@my.unt.edu
85% match
Loading thumbnail…

Task-9/10 Q1

This D3.js pie chart displays the distribution of automobile makes by their average horsepower values, with each car make represented as a colored slice paired with a custom legend. The visualization loads CSV data from a GitHub repository using `d3.csv`, then applies `d3.pie()` to compute arc angles and `d3.arc()` to generate the SVG path geometries. A categorical color scale (`d3.scaleOrdinal` with `schemeCategory10`) colors each segment. The code renders the chart inside an SVG container with explicit width and height attributes, while a separate HTML div builds the legend items using dynamically generated colored circles and text labels.

Ttallurisaiteja96@gmail.com
82% match
Loading thumbnail…

Q1_DataViz_PiechartForCarPerformance

This pie chart displays the distribution of horsepower across various car manufacturers. The visualization uses a D3.js pie chart to represent each model's contribution to total horsepower, with percentage labels displayed directly on the slices. A legend maps colors to car models, while the chart includes axis labels for context. The implementation uses d3.pie for slice calculation, d3.arc for path generation, and d3.scaleOrdinal with d3.schemeCategory10 for color assignment. Data is loaded from a remote CSV file and rendered as SVG within a web page.

Nnikhilkinnera1998@gmail.com
82% match