Skip to main content
SimilarExport ZIP
100%

Question 1-1 Anil

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

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.

AI-generated description
MIT Licensed

Similar vizzes

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
96% 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
94% match
Loading thumbnail…

Question 1

This pie chart visualizes the top 10 car-producing countries in 2019, ranked by total production value. Countries are displayed as colored slices with a legend showing each nation’s name and its corresponding value in thousands. The chart is built using D3 v5, leveraging `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` for layout and coloring, with data loaded via `d3.csv` from a GitHub Gist. The legend includes circle markers and formatted text labels.

HHarshita Vairagade
88% match
Loading thumbnail…

Fork of Question 1

This visualization displays the top 10 car-producing countries in the world, using 2019 totals as a pie chart paired with an interactive legend. The pie segments use color-coded arcs, while the legend lists each country with its corresponding production figure formatted in thousands. Built with D3 v5, it loads CSV data from a GitHub gist and uses `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to generate the SVG chart. The legend combines circles and text elements to present country names and values.

HHarshita Vairagade
86% match
Loading thumbnail…

Question1-1 Anil

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.

AAnilKumarReddyVanteru@my.unt.edu
86% 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…

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
85% match
Loading thumbnail…

PieChart ICE7

This pie chart displays the top 10 car-producing countries in 2019, showing each country’s total vehicle output as a proportional slice with a color-coded legend. The chart uses D3 v5’s `pie` and `arc` generators to compute angles and render SVG paths, while `scaleOrdinal` assigns colors. Data is loaded as CSV from a GitHub gist via `d3.csv`, and each country’s value is read from the ’2019’ column, with totals formatted in thousands. The legend pairs circles and text labels with the corresponding values.

SSravaniPosina
82% match