Makeing a Bar Chart with D3

Makeing a Bar Chart with D3

This example displays a horizontal bar chart ranking country populations, drawing data from a CSV file that lists countries alongside their population figures. The chart visualizes the relative population sizes of nations like China, India, and the United States using black bars on an SVG canvas. The React-based code uses D3 version 6 methods including `scaleLinear` for the population axis, `scaleBand` for the categorical country axis, `axisLeft` and `axisBottom` for the chart’s axes, and `csv` to load the data, with all population values multiplied by 1000 for display.

Ssimon0863

Making a bar chart with D3

This example shows a horizontal bar chart of country populations using D3.js, with the data loaded from a CSV file. The chart displays population values on the x-axis and country names on the y-axis using `scaleLinear` and `scaleBand`. The code demonstrates data loading with `csv`, rendering SVG rectangles, and adding an axis through `axisLeft`. The visualization is built with D3 v5 in a React framework, rendering to SVG.

Mmatteo1222

Making a Bar Chart

This example shows a horizontal bar chart of country populations using D3 v5 within a React framework. It renders SVG rectangles whose widths are scaled linearly by population values and heights by an ordinal band scale for countries. The code specifically uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from D3, with data loaded from a CSV file. Population values are multiplied by ten during import, and the chart includes margins and unlabeled axes.

MMinh Nguyen

Making a bar Chart

This example displays a horizontal bar chart of country populations, with bars scaled proportionally to population values and country names on the vertical axis. It uses D3 v5 within a React-like structure, loading data from a local CSV file and rendering to SVG. The code employs D3’s `scaleLinear` for the numeric axis, `scaleBand` for categorical spacing, and `axisBottom` and `axisLeft` to generate tick marks and labels.

Ddamankwah

Making a Bar Chart

This example shows a horizontal bar chart of country populations using a bar for each row of data. It renders SVG bars with a steelblue fill, using D3 v6 functions such as `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. The code loads population data from a CSV file, multiplies the values by 1000, and displays them with margins and axes. The chart is built in a React-free vanilla JavaScript setup within an HTML page.

Ssravaniboggaram

Making a Bar Chart with React & D3

This example shows a horizontal bar chart of country populations, with each bar’s length proportional to its population value from a local CSV file. The visualization combines React’s `useState` and `useEffect` hooks to asynchronously load data via `d3.csv`, while `d3.scaleBand` and `d3.scaleLinear` map country names and population counts to SVG rectangle positions and widths. The chart renders as an SVG using React components, with `d3.max` determining the x-axis scale domain.

BbeauMarko

Making a bar chart

This example demonstrates a bar chart built with D3 v6 and React, where each country from a CSV dataset is represented by a static rectangle. The code uses `d3.csv` to load and parse population data, converting the numeric values, then appends SVG `rect` elements via `selectAll().data().enter()`. The bars are fixed at 300 by 300 pixels, so the visualization shows the data structure rather than proportional sizes. The chart renders in an SVG container using declarative D3 selections.

TTrustPaul

Making a Bar Chart

This example shows a horizontal bar chart of population by country, ordered alphabetically and scaled so the bar lengths are proportional to population values. Built with D3 v7 in React, it uses `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data, map population to pixel widths and countries to vertical bands, then render SVG rectangles. The dark green bars are drawn inside a translated group with a margin-based layout. Population values from the CSV are multiplied by 1000 before scaling, and axes are placed with D3’s positioning transforms.

CConnor Trump