Skip to main content
SimilarExport ZIP
100%

ICE-6

✓ Published0🌍 Public
Aabdhaseeeb
Last edited Mar 12, 2023
Created on Mar 11, 2023
Forked from HTML Starter

This example displays a horizontal bar chart of the 12 most populous countries in 2022, loaded from a CSV dataset via d3.csv. D3’s scaleBand and scaleLinear map country names and population values to SVG rectangles, with axes drawn manually using d3.axisBottom and d3.axisLeft. The chart is rendered inside a React component using react-dom, with D3 v5 handling data parsing and scales, while React manages state and updates the SVG elements.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-6

This interactive chart displays the top 5 most populous countries based on 2019 data, using horizontal bars to compare population sizes. The visualization loads data from a CSV file via `d3.csv`, then renders an SVG bar chart with React. It employs `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population values, with gridlines and tick labels generated from the scales. The chart updates reactively as data loads, showing a loading state before the bars appear.

Ssudhamshu24
92% match
Loading thumbnail…

ICE 6

This example displays a horizontal bar chart of the top 10 most populous countries for 2019, ranked by population count. The visualization uses React with hooks to load CSV data and D3 v5 for scales and rendering, including `scaleBand` and `scaleLinear` for axes, alongside custom SVG elements for bars and gridlines. The dataset is fetched from a GitHub gist and sliced to the first ten entries, with the chart appearing within a React-managed SVG container.

Ssaidhiraj16
92% match
Loading thumbnail…

ICE_6

This bar chart displays the top 10 most populous countries in 2019, using a horizontal bar layout with country names on the y-axis and population values on the x-axis. It is built with React and D3 v5, using `d3.csv` to load data from a remote CSV file, `d3.scaleBand` and `d3.scaleLinear` for axes, and SVG rectangles for bars. Gridlines and tick labels are generated with `d3.ticks()`, while the chart is rendered entirely as SVG within a React component.

AAkrutiKhurana2103
92% match
Loading thumbnail…

ICE-6 DV

This example displays a horizontal bar chart of the top 20 countries by population, sourced from a CSV dataset. The visualization uses React and D3 v5, with SVG rendering. The code implements `d3.scaleBand` for the y-axis categories and `d3.scaleLinear` for the x-axis population values, drawing gridlines and axis ticks manually. The bars are rendered as `rect` elements with widths proportional to each country's population.

Ssowmyanagula@my.unt.edu
91% match
Loading thumbnail…

ICE-6: Population 2021(Bar Chart)

This example renders a bar chart of country populations in 2021 using React and D3 v5. The visualization displays the top nine countries by population as horizontal bars, with country names on the y-axis and population counts on the x-axis. The code uses `d3.csv` to load data from a GitHub gist, `scaleBand` for the categorical y-axis, and `scaleLinear` for the numeric x-axis. Axes are drawn manually with SVG elements, and bars are rendered as `rect` shapes based on the scaled population values.

Mmanishcheruku
91% match
Loading thumbnail…

ICE-6 DV

A horizontal bar chart visualizes the top 10 most populous countries in 2019, using a React component that loads data from a CSV URL via `d3.csv` and renders with SVG. The chart employs `d3.scaleBand` for the y-axis country categories and `d3.scaleLinear` for the x-axis population values, with grid lines and axis labels styled via SVG elements. The code uses D3 v5 and React 16.9, with the chart title "Top 10 Most Populous Countries" displayed above the visualization.

Ssowmyanagula@my.unt.edu
91% match
Loading thumbnail…

ICE6

A horizontal bar chart displays the top ten countries in the 2019 World Population dataset, with each bar's length proportional to population and country labels on the y-axis. The visualization is built with React, using D3's `scaleBand` and `scaleLinear` to map data to SVG rectangles within a responsive `<svg>` container. Axes and tick marks are generated via D3's `axisLeft` and `axisBottom` functions, styled with CSS. The chart updates asynchronously after fetching and parsing the CSV via `d3.csv`.

Hharika-1929
90% match
Loading thumbnail…

ICE-6 Dv

This visualization shows the top 10 most populous countries in 2019 as a horizontal bar chart, with the population of each country represented by the length of its colored bar. The chart is built using React, which manages the component state, and D3 v5 for data loading and scales. The code uses `d3.csv` to fetch population data from a GitHub gist, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the continuous x-axis, while axes tick lines and labels are drawn manually.

Ssowmyanagula@my.unt.edu
90% match