Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Feb 24, 2020

Created on Feb 24, 2020

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, with horizontal bars ordered by country name and sized proportionally to each nation’s population in thousands. The visualization uses D3 v5’s `csv` to load data, `scaleLinear` for the x-axis, `scaleBand` for categorical y-axis positioning, and `axisLeft`/`axisBottom` to render ticks. Bars are drawn as SVG rectangles filled with steel blue, while margins frame the chart on a 960×500 canvas.

Jjhofang

96% 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

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

95% 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

95% match

Loading thumbnail…

Making a Bar Chart

HHasideluxe

95% 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

95% 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

95% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the populations of the ten most populous countries, ordered from largest to smallest. It uses D3 v5 to load data from a CSV file and render the visualization as SVG. The code explicitly calls `scaleLinear` and `scaleBand` to create the x and y scales, `axisLeft` and `axisBottom` to generate the axes, and uses `select` to target the SVG element. The bars are colored steel blue via CSS, and the population values are transformed by multiplying by 1000 before rendering.

Mmp7090

95% match