Skip to main content
SimilarExport ZIP
100%

ICE-6 Q1

✓ Published0🌍 Public
RRebecca Moore
Last edited Mar 8, 2023
Created on Mar 8, 2023
Forked from HTML Starter

A horizontal bar chart ranks countries by their 2017 fossil CO2 emissions, sorted in descending order with purple bars on a gold-ruled grid. Built with React and d3.v5, the visualization uses `csv()` to load the dataset, `scaleBand()` for the country axis, and `scaleLinear()` for the emissions axis. SVG rendering is handled through ReactDOM, with gridlines and labels generated via `xScale.ticks()` and map iterations.

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 example shows a bar chart of CO₂ emissions by country, sorted from the largest emitter (Non-OECD GCP) down to the Dominican Republic. It uses an SVG canvas with D3’s `scaleBand` and `scaleLinear` to position bars, and `axisBottom` and `axisLeft` to render axes. The chart displays only the first 10 tick labels to avoid clutter, with rotated text. Data comes from an embedded CSV file, and the visualization is built with D3 v7.

Bbadrinath888@gmail.com
84% match
Loading thumbnail…

ICE-6

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.

Aabdhaseeeb
83% match
Loading thumbnail…

ICE-6 Q1

This example shows the top 15 countries by points scored in FIFA, rendered as a horizontal bar chart using React and D3 v5. The D3 `csv` function loads the data, and `scaleBand` positions the country labels on the y-axis while `scaleLinear` maps point values to bar widths. The chart is drawn as an SVG, with blue gridlines and tick labels generated from `xScale.ticks()`. Spacing above and below the plot area is reserved, though no title or legend appears within the SVG itself.

DDeeraj Thakkilapati
83% match
Loading thumbnail…

ICE-6

This horizontal bar chart visualizes the top 20 countries by population, with red bars extending from a shared baseline. The visualization uses React to manage state and D3 v5’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously via `d3.csv` from a GitHub gist. Gridlines and tick labels are manually rendered as SVG elements using D3’s `ticks()` method, with the chart displayed within an SVG container on an HTML page.

Ssri7harsha
83% match
Loading thumbnail…

ICE6 - Bar Chart

This interactive bar chart compares direct N₂O emissions in 2020 across several countries, including China, India, the United States, and Germany. Built with React and D3 v5, it uses `d3.csv` to load data from a GitHub-hosted CSV file and `scaleBand` and `scaleLinear` to map countries to horizontal bars. The visualization renders as SVG elements, with red grid lines and axis labels generated from the scales’ tick values.

Nneffer77
83% 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
82% 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
82% match
Loading thumbnail…

ICE-6

A bar chart displays the GDP of fifteen countries, sourced from a CSV file. The visualization uses React to manage state and render an SVG, with D3 v5 functions for data loading (`d3.csv`), scaling (`d3.scaleBand`, `d3.scaleLinear`), and axis generation. Rectangles encode GDP values along a horizontal scale with labeled ticks.

JJasvitha Allamsetty
82% match