Fork of ICE7 Pie Charts

100%

Fork of ICE7 Pie Charts

✓ Published0🌍 Public

Last edited Mar 28, 2022

Created on Mar 28, 2022

This fork of ICE7 Pie Charts displays a horizontal bar chart ranking cities by their book counts, using data loaded from a CSV file. The visualization initially shows a loading state before rendering ten bars with a blue x-axis grid and labeled y-axis. Built with React and D3, the code employs `d3.csv` for data parsing, `scaleBand` and `scaleLinear` for positioning, and SVG elements to draw the bars and ticks.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This visualization presents a horizontal bar chart of bestselling books information, ranking eleven items by population metrics from an external CSV dataset. Built with React and D3 v5, the chart uses `scaleBand` and `scaleLinear` to map categorical labels and numeric values to SVG rectangles. The code leverages React hooks (`useState`, `useEffect`) for data loading and rendering, while D3 utilities handle CSV parsing, scales, axes, and tick generation. The SVG output includes orange gridlines and labeled axes, with steelblue bars sized proportionally to each entry's population value.

AArefa Patwary

85% match

Loading thumbnail…

Fork of Fork of ICE-6 bar graph

This example shows a horizontal bar chart ranking twelve cities by their pollution index scores from the “Healthy lifestyle city 2021” dataset, with blue bars and labeled axes. It uses React to manage state via useState and useEffect, loading data with d3.csv. The chart is rendered as an SVG, using d3.scaleBand for the y-axis city labels, d3.scaleLinear for the x-axis pollution values, and d3.max to set the domain.

TTekmal-Bhavana

84% match

Loading thumbnail…

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

A bar chart displays population data for the top 11 bestselling books, with each bar’s length encoded by population size and its position on the y-axis by book title. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and renders SVG `rect` marks. Data is loaded from a CSV file via `d3.csv`, while axes and gridlines are generated manually using `xScale.ticks()` and text elements.

TTulluripallavi

84% match

Loading thumbnail…

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the best-selling books data from a CSV file, showing book categories and their population values. The visualization uses React with hooks for state management and data loading via D3’s `csv` function, then renders bars as SVG rectangles using D3’s `scaleBand` and `scaleLinear` for axes and positioning. Tick marks, axis lines, and labels are manually generated in JSX, with D3’s `max` and `format` utilities supporting the scale domain calculations.

AArefa Patwary

84% match

Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example shows a horizontal bar chart of city temperatures, using React to render SVG marks and D3 to compute scales. It loads city data from a CSV file, slices the first 15 rows, and maps each city’s `Basic_length` value to a bar’s width. The code uses `d3.csv` for parsing, `d3.scaleBand` for the y-axis, `d3.scaleLinear` for the x-axis, and `d3.max` for domain calculation. Grid lines and axis ticks are drawn manually with SVG elements, while React’s `useEffect` and `useState` manage asynchronous data loading.

NNeeharikaGali

84% match

Loading thumbnail…

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

A bar chart displays the top 11 bestselling books by population, using D3 scales to map book names on the y-axis and population values on the x-axis. The React component loads CSV data via `d3.csv`, renders SVG rectangles for each bar, and draws axes with `scaleBand`, `scaleLinear`, and custom tick marks. Styling applies steelblue fills to the rects.

TTulluripallavi

83% match

Loading thumbnail…

Fork of Fork of ICE6

This example displays a horizontal bar chart comparing the population of ten countries. D3.js loads the data from a remote CSV file, and React renders the visualization as SVG elements. The chart uses D3's scale functions to map data values to pixel coordinates, with axis ticks generated from the linear scale. Bars are drawn as SVG rectangles, showcasing how D3 and React can be combined for data-driven graphics.

Hharika-1929

83% match

Loading thumbnail…

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This example shows a horizontal bar chart of the ten most populous countries, using population data from 2019 loaded from a CSV file. The chart is built with React and D3 v5, rendering SVG marks for bars and text labels. It uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and `csv` to parse the data, with bars colored steelblue and axis ticks drawn manually.

Bbindhureddy98

83% match