D3 Bar Chart

100%

✓ Published1🌍 Public

Last edited Jan 26, 2023

Created on Jan 20, 2023

Forked from D3 Intro

This D3 bar chart displays the populations of the ten most populous countries, using horizontal bars sorted by y-axis labels. The visualization maps population values to bar lengths via a linear scale and country names to band positions, with axes generated by `axisBottom` and `axisLeft`. It reads data from a CSV file (`data.csv`) containing country and population figures, multiplies the figures by 1,000, and renders the result as SVG rectangles with steel blue fill. The chart is built with d3.v7, using `scaleLinear` and `scaleBand` for scaling.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

D3 Bar Chart

This bar chart displays the populations of the top 10 most populous countries, using a horizontal layout with country names on the y-axis and population values on the x-axis. The visualization is built with D3 v5, specifically using `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft`/`axisBottom` for the axes. Data is loaded from a CSV file and multiplied by 1000 to reflect actual population figures. The SVG rendering uses steelblue rectangles, with margins and padding handled through D3’s scale and transform methods.

Rrdeichert

95% match

Loading thumbnail…

D3 Bar Chart

This bar chart displays the populations of the top 10 most populous countries, sorted vertically by country name. It uses D3 v5’s `csv` loader and `scaleLinear` and `scaleBand` to map population values and country categories, with axes generated by `axisLeft` and `axisBottom`. The SVG bars are rendered in steel blue, and population labels use the `format` function with abbreviated suffixes. Data comes from a local CSV file, and all rendering is done via SVG elements.

Kkkwyoung

95% match

Loading thumbnail…

Make a BarChart

This bar chart displays the populations of the ten most populous countries, with each bar’s length proportional to the population value. It uses D3 v6’s `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft` and `axisBottom` to render the axes. Data is loaded from a CSV file, and population values are multiplied by 1000 before rendering. The visualization is drawn as SVG rectangles styled with steelblue fill, with a margin-based layout and a band padding of 0.1 to separate bars.

DDataFeast_71

94% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, sorted alphabetically along the vertical axis with bar lengths proportional to population values. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` and `axisLeft` to render the axes. Data is loaded from a CSV file via `d3.csv`, with population values converted from thousands to absolute numbers. The SVG rendering is structured with margins, and bars are drawn as `rect` elements filled with steelblue.

CChip

94% match

Loading thumbnail…

Making a Bar Chart!

This horizontal bar chart uses D3 v5 to display the populations of the ten most populous countries, with the x-axis representing population and the y-axis listing countries. The visualization loads country and population data from a CSV file and renders the bars as SVG rectangles within an SVG container. It employs D3’s scaleLinear, scaleBand, axisBottom, and axisLeft to map data to pixel coordinates and format the axes. The bars are colored steelblue, and the chart is framed with fixed margins. Population values are scaled by 1,000 during data loading.

Ssalvar2134

93% match

Loading thumbnail…

Making a Bar Chart

This horizontal bar chart displays the populations of the ten most populous countries, using steel-blue rectangles scaled by population value. The visualization loads data from a CSV file and renders with D3 v5, employing `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft`/`axisBottom` for gridlines. SVG elements are appended programmatically, with population values converted from thousands to raw numbers before scaling.

BBlake Akapita

93% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, with each bar’s length proportional to the population value. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` for tick marks. Data is loaded from a CSV file via `d3.csv` and rendered as SVG rectangles styled with a steelblue fill.

Eexistentialist1888

93% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, with horizontal bars sorted by population size. The visualization uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with axes rendered via d3.axisLeft and d3.axisBottom. Data is loaded from a CSV file using d3.csv, and population values are multiplied by 1000 to reflect actual figures. The SVG rectangles are colored steelblue, with margins applied to position the chart within the 960x500 viewport.

HHasideluxe

93% match