Skip to main content
SimilarExport ZIP
100%

Making a bar chart

✓ Published1🌍 Public
Iisaachowen
Last edited Jul 18, 2019
Created on Jul 17, 2019

This bar chart displays the populations of the world’s ten most populous countries, using horizontal bars ordered from largest to smallest. The chart is rendered as an SVG using D3 v5, with a linear scale for population and a band scale for country names, plus axis ticks generated via `axisLeft` and `axisBottom`. Population values from the CSV, sourced from the 2018 estimate, are multiplied by 1,000 to reflect actual figures. The visualization relies on D3’s `scaleLinear`, `scaleBand`, `max`, and `csv` utilities.

AI-generated description

This bar chart shows blablabla. The data comes from the year xxxx estimate from blabablbalabl(website link).

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries in 2018, using horizontal bars sorted by country name. The chart is rendered as an SVG using D3 v5, with `d3.scaleLinear` mapping population values to bar widths and `d3.scaleBand` positioning each country along the y-axis. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and data is loaded from a CSV file via `d3.csv`. Population values are multiplied by 1000 to reflect actual figures.

Hhamza.miftah@gmail.com
94% match
Loading thumbnail…

Making a Bar Chart

This example displays the populations of the world’s ten most populous countries as a horizontal bar chart, using 2018 estimates from the United Nations World Population Prospects. The chart is rendered as SVG, with bars encoded by a linear population scale and countries by a band scale. Built with D3 v6, the code uses `csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for axes. Population values are multiplied by 1,000 to reflect actual figures, and bars are styled with a steelblue fill.

Aanuj1450
93% match
Loading thumbnail…

Making a Bar Chart

This example displays the populations of the ten most populous countries, drawn as horizontal bars scaled linearly along the x-axis and categorically along the y-axis. The chart is rendered as an SVG using the d3 library, with scales created by `scaleLinear` and `scaleBand`, and axes drawn using `axisLeft` and `axisBottom`. Data is loaded from a CSV file via d3's `csv` function, with population values multiplied by 1,000 for display.

EEdwin Cini
93% match
Loading thumbnail…

Making a Bar Chart

This horizontal bar chart displays the population of the world's most populous countries, using a data.csv file with country names and raw population figures. The chart renders as SVG elements, with each country represented by a rectangular bar scaled by a linear population axis. The visualization employs D3's `scaleLinear` and `scaleBand` for scaling, `axisLeft` and `axisBottom` to draw the axes, and a custom tick formatter that abbreviates large numbers. The code reads the CSV asynchronously, multiplies the population values by 1000, and appends the bars to the SVG group.

Eegrebing
93% match
Loading thumbnail…

making a Bar chart

This bar chart displays the populations of the world’s ten most populous countries, with each bar’s length scaled linearly to population and ordered alphabetically by country. The visualization uses D3 v5’s `csv` loader to parse the data, `scaleLinear` and `scaleBand` for the x- and y-axes, and `axisLeft` and `axisBottom` to render the scales. Bars are drawn as SVG `<rect>` elements with a steelblue fill, and margins create labeled axes within the 960×500 viewport.

Ffra-alaimo
93% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, scaled linearly along the x-axis and using a band scale for categorical country labels on the y-axis. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with data loaded from a CSV file and rendered as SVG rectangles. Population values are formatted in abbreviated units (e.g., "1.41B") using D3's `format` function, and a custom axis label and title are added via SVG text elements.

CCatriona
93% match
Loading thumbnail…

Making a bar chart

A horizontal bar chart displays the populations of the ten most populous countries using 2018 estimates from the World Population Prospects 2017 dataset. The chart uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and render SVG axes and rectangles. Population values are converted from thousands and scaled to bar widths, with country names positioned on the y-axis.

CConnor Bailey
93% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the world’s ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map population values to horizontal bar lengths and country names to vertical positions. Data is loaded from a CSV file via `d3.csv` and rendered as SVG rectangles. The chart includes left and bottom axes generated with `d3.axisLeft` and `d3.axisBottom`.

AAbhijit Roy
93% match