fork

100%

✓ Published0🌍 Public

Last edited Mar 6, 2022

Created on Mar 6, 2022

Forked from ICE-6: Rendering Marks and Channels with React & D3

This visualization displays a horizontal bar chart ranking the top 10 most populous countries, with country names on the y-axis and population values on the x-axis. It uses React to manage the component state, loading data from a CSV file via `d3.csv`, and renders the chart as an SVG. The chart employs `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the continuous x-axis, with bars representing each country's population.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

fork

This visualization displays a horizontal bar chart of the top 10 most populous countries for 2019, with country names on the y-axis and population values on the x-axis. The chart uses React state and hooks to load and manage data, while D3 v5 handles the scaling and rendering through `scaleBand` and `scaleLinear` functions. Data is fetched asynchronously via `d3.csv` from a GitHub-hosted CSV file, with population values parsed as numbers. The SVG output includes manually drawn axes, gridlines, and blue bars, bypassing D3's axis generators in favor of custom tick rendering.

RRamyapriyaPutta

94% match

Loading thumbnail…

Fork of fork

This example displays a horizontal bar chart of the top 10 most populous countries, using population data from 2019 loaded via `d3.csv`. The visualization is built with React and rendered as SVG, with `d3.scaleBand` positioning the country labels and `d3.scaleLinear` mapping population values to bar widths. Grid lines and tick marks are generated manually using `xScale.ticks()`, and axes are drawn with custom SVG elements rather than D3’s axis components. The chart updates reactively when the CSV data finishes loading.

RRamyapriyaPutta

91% match

Loading thumbnail…

Fork of Fork of fork1

This fork shows a horizontal bar chart of the top 10 most populous countries, using data from the year 2019. The visualization renders to SVG via React and uses D3's `scaleBand` and `scaleLinear` to map country names and population values to coordinates. Axes and grid lines are drawn using `axisLeft`, `axisBottom`, and `ticks()`. The dataset is loaded from a CSV URL, though the URL is empty in the code.

RRamyapriyaPutta

89% match

Loading thumbnail…

Fork of Rendering Data with React & D3

This visualization displays the top 10 most populous countries in 2020 as a horizontal bar chart, using React to render SVG rectangles that scale with each country’s population. It loads CSV data via `d3.csv` and transforms the population column to numeric values with a custom row function. The chart employs `d3.scaleBand` for the country categories and `d3.scaleLinear` for the population values, while React’s `useState` and `useEffect` manage the asynchronous data fetching and rendering state.

Nnncis

89% match

Loading thumbnail…

Fork of bar chart with react and d3

This fork of a bar chart combines React and D3 to visualize population data for the top ten countries, loaded from a CSV file via a Gist URL. The SVG rendering uses D3's `scaleBand` for the categorical y-axis, `scaleLinear` for the numerical x-axis, and `max` to determine the domain. React manages the data state, displaying a "Loading..." message until the CSV is parsed. Both x-axis gridlines with tick labels and y-axis country labels are drawn using SVG elements within a transformed group.

Mmeghshah612

88% match

Loading thumbnail…

Fork of Fork of Rendering Data with React & D3

This visualization displays the populations of the top 10 countries using a horizontal bar chart, rendered as SVG elements. The chart employs D3.js scales (`scaleBand` and `scaleLinear`) to map country names and population values to coordinates, while React constructs the SVG components, including custom axes and mark elements. Data is sourced from a CSV file of UN population estimates, using D3's `csv` utility. Tooltips, formatted with D3's `format` function, reveal the precise population figures for each bar on hover.

CCatalina Vajiac

88% match

Loading thumbnail…

Fork of Fork of Stylized Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population counts on the x-axis. The visualization uses React to render SVG elements, with d3.scaleBand and d3.scaleLinear for positioning, and d3.csv to load United Nations World Population Prospects 2019 data. The d3.format function customizes axis tick labels, while native SVG `<title>` elements provide tooltips on hover.

Vvivekananth-code

88% match

Loading thumbnail…

fork

A horizontal bar chart displays the 2019 population estimates for the ten most populous US states. The React application uses D3.js v5 to fetch CSV data from a GitHub gist, then maps state names to the y-axis and population values to the x-axis. SVG rectangles render the bars with a skyblue fill, while green gridlines and axis labels are generated using D3's scaleBand, scaleLinear, and tick functions.

SSnigdha6698

88% match