Skip to main content
SimilarExport ZIP
100%

CSV-based Bar Chart with D3.js!

✓ Published1🌍 Public
Fframptonb
Last edited Feb 14, 2023
Created on Feb 11, 2023

This example shows a horizontal bar chart of population data for ten countries, loaded from a CSV file and rendered as SVG. The visualization uses D3.js v5 methods including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map country names to y-axis bands and population values to bar widths. Bars are appended as `rect` elements, styled with steelblue fill, and the chart includes margins and axes to frame the data.

AI-generated description

Demonstrates fundamental DOM manipulation using D3.js by producing a bar chart from data within a csv file. (based on forked code from Curran Kelleher)

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart D3.js!

A bar chart displays population counts for ten countries using D3.js v5 with SVG rendering. The code loads data from a CSV file and uses `d3.csv`, `d3.scaleLinear` for the x-axis, and `d3.scaleBand` for the categorical y-axis. Rectangles are appended via data joins, with widths proportional to population values (converted from thousands to absolute numbers). The example demonstrates core D3 selection, scaling, and DOM manipulation patterns in a straightforward horizontal bar layout.

BBenjamin Gorman
91% match
Loading thumbnail…

Making a bar chart with D3.js

This example displays a horizontal bar chart of population counts for ten countries, using data loaded from a CSV file. The chart maps population values to bar widths with `d3.scaleLinear` and country names to vertical positions with `d3.scaleBand`, rendering axes via `d3.axisLeft` and `d3.axisBottom`. Bars are drawn as SVG rectangles with a steelblue fill, and the population values are multiplied by 1000 during data parsing. The visualization is built entirely with D3.js v5, using its `select`, `csv`, and scale APIs.

Ddavidpiber
90% match
Loading thumbnail…

Making a bar chart with D3.js

This example displays a horizontal bar chart of population counts for ten countries, using data loaded from a CSV file. The chart maps population values to bar widths with `d3.scaleLinear` and country names to vertical positions with `d3.scaleBand`, rendering axes via `d3.axisLeft` and `d3.axisBottom`. Bars are drawn as SVG rectangles with a steelblue fill, and the population values are multiplied by 1000 during data parsing. The visualization is built entirely with D3.js v5, using its `select`, `csv`, and scale APIs.

Ddavidpiber
90% match
Loading thumbnail…

Making a bar chart!

This bar chart displays the populations of ten countries using horizontal bars ordered by name. The visualization loads data from a CSV file, converts population values to numbers, and renders an SVG with D3 v6. It uses `d3.csv`, `scaleLinear` and `scaleBand` for scales, plus `axisLeft` and `axisBottom` for the chart axes. Bars are styled steelblue via CSS.

VVinceVerspeek
90% match
Loading thumbnail…

Making a Bar Chart

This example demonstrates a horizontal bar chart comparing the populations of ten countries, using a CSV data source. It renders as an SVG using D3 v5, loading data with `d3.csv` and scaling with `d3.scaleLinear` and `d3.scaleBand`. The chart draws axes via `d3.axisLeft` and `d3.axisBottom`, and creates steel-blue bars with an applied `d3.selection` and `.append('rect')`. The code sets the chart’s dimensions from the SVG attributes and applies margins for clear presentation.

BBarryC7
90% match
Loading thumbnail…

Making a bar chart

This example shows a horizontal bar chart of population estimates for ten countries, using a CSV data file. The bars are rendered as SVG rectangles with a steelblue fill, and the chart includes left and bottom axes. The code uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data, map population values to widths, and position country labels. Population numbers are read as strings and converted to numeric values before scaling.

Mmagua
89% match
Loading thumbnail…

Making a Bar Chart with D3

This example shows a horizontal bar chart of population figures for ten countries, ordered from largest to smallest. The visualization is built with D3 v5, using `d3.csv` to load the data, `scaleLinear` and `scaleBand` for the axes, and `axisLeft` and `axisBottom` to render tick marks. Population values are read as strings from the CSV and converted to numbers, then multiplied by 1000 before being mapped to bar widths. The SVG is styled with a steelblue fill for rectangles.

WWhatTheFork85
89% match
Loading thumbnail…

Bar Chart

This bar chart displays population counts for ten countries, with a horizontal layout that emphasizes the comparative scale between nations. The visualization uses D3 v5 with an SVG rendering approach, employing `scaleLinear` for the x-axis, `scaleBand` for categorical country labels, and `axisLeft` and `axisBottom` to generate the chart’s axes. Data is loaded asynchronously via `d3.csv` from a local CSV file, then parsed into numeric values for population. The bars themselves are drawn as styled `rect` elements filled with steelblue, and the chart applies fixed margins to position the plotting area within the 960x500 viewport.

SSimmer999
89% match