Skip to main content
SimilarExport ZIP
100%

Fork of Ice 6 bar

✓ Published0🌍 Public
HHarshithaDontha@my.unt.edu
Last edited Oct 20, 2025
Created on Oct 20, 2025
Forked from Ice 6 bar

This bar chart displays population values for 100 synthetic cities, with each bar’s height representing the population count and hover tooltips revealing exact figures. The visualization uses D3.js v7 to load CSV data via `d3.csv`, scale the values with `scaleBand` and `scaleLinear`, and render the chart as SVG. Horizontal grid lines created with `axisLeft` improve readability, while the x-axis labels are rotated to accommodate the many city names.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Ice 6 bar

A bar chart visualizes population counts for a list of cities, with each bar's height proportional to its population value. The chart uses an SVG renderer with D3 v7 to load CSV data, construct linear and band scales, and draw grid lines, axes, and labeled tooltips via appended `title` elements. Axis ticks are filtered to show every tenth city, and city labels are rotated for readability.

HHarshithaDontha@my.unt.edu
89% match
Loading thumbnail…

Fork of Fork of ICE 6 Scatter Plot (Sai Kaushik Ganji)

A fork of a fork of an ICE 6 scatter plot, this visualization displays the populations of US cities as dots along a vertical city axis. Each dot’s horizontal position encodes its population in millions, while both its radius and blue color intensity scale with that value. Built with D3 v7, the code loads CSV data, uses `scalePoint`, `scaleSqrt`, and `scaleSequential`, and renders an SVG with gridlines, axes, labels, and interactive tooltips on mouseover.

Kkhushburajan2015@gmail.com
84% match
Loading thumbnail…

Fork of ICE6

This visualization displays a horizontal bar chart of the top 10 countries by population from a CSV dataset loaded via a URL. The bars are rendered as SVG rectangles using D3 scales, with the x-axis showing population values and the y-axis listing country names. The React app uses D3's `csv` to fetch and parse data, `scaleBand` and `scaleLinear` for positioning, and renders the chart inside an SVG element with a steelblue fill.

SSnigdha6698
83% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart visualizes the 2022 population data for a subset of countries, displaying only the first three rows from a CSV dataset. The visualization uses D3 v5 scales, including `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, rendering SVG rectangles as the primary marks. Built with React hooks (`useState` and `useEffect`), the code loads data via `d3.csv` and generates axes using `axisLeft` and `axisBottom`-style components. The chart includes gridlines and tick labels, with the population values encoded as bar widths.

GGogineni44
83% match
Loading thumbnail…

Fork of data visulization

This bar chart displays population data for six countries, sourced from a local CSV file, with each bar’s length proportional to the population value (scaled by 1,000). Using D3 v6, the code employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for categorical y-axis spacing, and `d3.axisLeft`/`d3.axisBottom` to render axes. The SVG is appended and styled via CSS, with margins applied to position the chart within a 960×500 viewport.

Yyingzhe-z
83% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the 2022 population of three countries from a CSV file, with each bar’s length encoding the population value. The visualization uses React to manage state and render the SVG, while D3 v5 provides the data loading via `csv`, scales (`scaleBand`, `scaleLinear`), and axis ticks. The chart includes purple vertical gridlines and labeled x- and y-axes, with bar heights fixed to the band width.

Mmanishcheruku
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 Fork of ICE 6 Scatter Plot (Sai Kaushik Ganji)

This example shows the population of U.S. cities as a horizontal scatter plot, with each city’s position along the x-axis reflecting its population in millions and circle size and color encoding the same value. It renders as an SVG using D3 v7, loading CSV data from a GitHub gist and sorting cities in descending order. The code builds linear and point scales, adds gridlines and axes, and implements hover tooltips via D3 event handlers.

Kkhushburajan2015@gmail.com
82% match