Skip to main content
SimilarExport ZIP
100%

Making a Bar Chart

✓ Published2🌍 Public
Bben-chin-43
Last edited May 26, 2020
Created on May 26, 2020

This horizontal bar chart displays the population of the ten most populous countries, using data from a CSV file where population values are multiplied by 1000. Built with D3 v5, the visualization renders as SVG, using `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` for tick marks. Steelblue rectangles represent each country, positioned and sized via the `attr` calls on the appended `rect` elements.

AI-generated description

This bar cahrt shows population of top 10 most populus countries!

MIT Licensed

Similar vizzes

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
96% match
Loading thumbnail…

Making a Bar Chart

A horizontal bar chart displays the populations of the ten most populous countries, with bars rendered as steelblue rectangles. The chart uses D3 v5's `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, with `axisLeft` and `axisBottom` generating the tick labels. Population values from the CSV are multiplied by 1,000 during data loading. The SVG output is positioned using margin translations, and bars are appended to a group element with heights determined by the bandwidth method.

BblakeCS
95% match
Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the ten most populous countries, using population values from a CSV file. The chart orders countries along the y-axis with a band scale, while a linear scale maps population to bar length on the x-axis. Built with D3 v5, the SVG rendering uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, `d3.axisBottom`, and `d3.csv` to load and prepare the data. Steelblue rectangles represent the bars, with axes and labels styled via CSS.

TTsing
95% match
Loading thumbnail…

Making a Bar Chart

A horizontal bar chart displays the population of the ten most populous countries, using data from a CSV file. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis population values and `scaleBand` for the categorical y-axis countries. Axes are generated with `axisLeft` and `axisBottom`, while bars are appended as SVG `rect` elements with a steelblue fill and black stroke.

Pparkypoo
94% 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
94% match
Loading thumbnail…

Making a bar chart

This horizontal bar chart displays the population of the top 10 most populous countries, using steelblue rectangles to encode each country’s population value. The chart is rendered as an SVG element using D3 v5, reading population data from a CSV file and scaling the bar lengths with a linear scale for the x-axis and a band scale for country labels on the y-axis. The code employs D3’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` functions to construct the axes, with data loaded via D3’s `csv` method.

Ppkcesar
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
94% 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