Bar chart

Bar Chart

This bar chart displays population counts for ten countries, using horizontal bars ordered from most to least populous. The chart is rendered as an SVG within a React application, built with D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. Data from a CSV file is loaded via `d3.csv`, with population values multiplied by 1000. Bars are appended as `rect` elements, with axes and text styled in a brown color scheme.

SS733-cmd

Bar chart

This bar chart displays the populations of ten countries in 2020, sourced from UN population data, using horizontal bars where length encodes magnitude and a title tooltip reveals exact values. Built with React and D3 v5, it uses `scaleBand` for categorical y-axis positioning and `scaleLinear` for quantitative x-axis scaling, with axes rendered as SVG elements and a `.replace('G', 'B')` format to show billions.

CCees Klap

Bar Chart with React & D3

This bar chart displays the populations of ten countries, using a horizontal bar layout with a linear x-axis and categorical y-axis. It is built with React and D3, where D3’s `scaleBand` and `scaleLinear` handle positioning, and custom React components (`AxisBottom`, `AxisLeft`, `Marks`) render SVG elements for axes and bars. The data is loaded from a CSV via `d3.csv`, with population values scaled and formatted using `d3.format`. Tooltips and styled tick lines provide additional detail.

SStefano Renzetti

Bar Chart

This example shows a horizontal bar chart comparing the populations of ten countries, using a linear scale for population values and a band scale for country names. The bars are rendered as SVG rectangles, with axes generated using d3.axisLeft and d3.axisBottom. The code loads data from a CSV file via d3.csv, converts population values from thousands to absolute numbers, and applies a margin-based layout. The chart is built with React, though the visualization itself uses D3 v5 directly to manipulate the SVG.

SShweta-tech

BarChart

This bar chart displays the 2020 populations of the ten most populous countries, with country names on the y-axis and population values on the x-axis. Built with React and D3 v7, it uses `d3.csv` to load data from a GitHub-hosted UN Population dataset and `scaleBand` and `scaleLinear` for positioning. The SVG renders gridlines, tick labels, and rectangles, while a small message function reports the dataset’s file size, row count, and column count.

Mmbooch22

Bar Chart

This bar chart displays the populations of the ten most populous countries, with horizontal bars ordered by country name. The visualization reads population data from a CSV file and renders it as SVG using React and D3 v5. The code leverages D3’s `csv` loader, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` to generate the chart’s axes.

JJoshuaBruens

Bar Chart

This bar chart displays the populations of ten countries as horizontal bars, ordered alphabetically by country name on the y-axis, with bar length proportional to population values from the UN Population 2019 dataset. The visualization uses React with D3 v5 utilities, including `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering SVG rectangles. Data is loaded asynchronously via `d3.csv` and filtered to the top ten rows, with bars drawn without labels or gridlines.

MMATTE-blz

Bar chart

This bar chart displays the top 10 countries by population for 2020, using horizontal rectangles whose widths are proportional to each country’s population. The visualization is built with React and D3 v7, leveraging `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, filtered to the first ten rows, and rendered as SVG `<rect>` elements. The chart updates reactively once the data arrives, showing a loading message initially.

Aafcchilders