Skip to main content
SimilarExport ZIP
100%

Making a Bar Chart

✓ Published0🌍 Public
OOvxOO
Last edited Jul 16, 2019
Created on Jul 16, 2019
Forked from Hello VizHub

This example displays the top 10 most populous countries in 2018 using a horizontal bar chart, with population values from UN World Population Prospects 2017. The SVG visualization uses d3.csv to load data, d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisLeft and d3.axisBottom to render the axes. Bars are drawn as SVG rect elements, filled with steelblue, with population numbers scaled by 1000.

AI-generated description

An is a bar chart that shows the top 10 most populous countries in the world The data was obtained from the year 2018 estimate in World Population Prospects 2017.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This example presents a horizontal bar chart of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The bars are rendered as SVG rectangles with a steelblue fill, and the chart includes customized D3 axes: a left axis with country names and a bottom axis with formatted population labels. The code uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` to load the CSV, compute scales, and draw the visualization.

MMukadder Cinar
96% match
Loading thumbnail…

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization uses D3 v5 to load CSV data, scale linearly for the x-axis population values, and scale band for the y-axis country categories. The SVG rendering includes axis labels via axisBottom and axisLeft, with rectangular bars filled in steelblue. Data preprocessing multiplies the population values by 1000 to reflect actual counts.

Rrblue36
96% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. It renders horizontal bars with D3 v5’s `scaleBand` for the y-axis and `scaleLinear` for the x-axis, using `axisLeft` and `axisBottom` for ticks. The data is loaded from a CSV via `d3.csv`, with population values multiplied by 1000. The SVG output uses `g.selectAll('rect')` to draw each bar, styled with a steelblue fill.

IIyke2909
95% match
Loading thumbnail…

Making a bar chart

This example shows the top 10 most populous countries in 2018 using a horizontal bar chart, with population values from the United Nations World Population Prospects. The chart uses D3 v5 to load the CSV data, scale linear for the x-axis and scale band for the y-axis, and customizes the axis with formatted tick labels and removed gridlines. Bars are rendered as SVG rectangles.

AAishwaryaJayaram
95% match
Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart uses an SVG rendered with D3 v5, importing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the `d3` module. Population values from the CSV are converted to numbers and multiplied by 1000 before being mapped to bar widths. The y-axis positions country names, while the x-axis scales population linearly, with steelblue bars and labeled axes.

YYanxiangZhu
95% match
Loading thumbnail…

Making a Bar Chart

This example presents a horizontal bar chart showing the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects 2017. It uses D3 v5's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population values and country names to SVG rectangles. Data is loaded from a CSV file and processed by multiplying the population values by 1000. The chart renders entirely as SVG, with bars styled in steelblue, and the code illustrates a basic data-join and margin setup for reusable visualization.

Vvoiletymr
95% match
Loading thumbnail…

Making a Bar Chart

This example visualizes the population of the top 10 most populous countries using a horizontal bar chart, with data sourced from the 2018 United Nations World Population Prospects. The population values are displayed along the x-axis while country names are mapped to the y-axis using band scaling. The visualization uses d3.scaleLinear for the numeric axis, d3.scaleBand for categorical positioning, and d3.axisLeft and d3.axisBottom to render the chart’s axes. Rectangles represent each country’s population, and the SVG rendering is powered by D3 v3 and v7 modules, with CSS styling applied to the bars.

AAvisa Poshtkouhi
95% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The SVG visualization uses d3.csv to load the data, d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with d3.axisLeft and d3.axisBottom rendering the axes. Rectangles are bound to the data via d3.selectAll and .enter().append, with widths mapped to population values; the fill color is set to steelblue via CSS. The data values are multiplied by 1000 after loading to reflect actual population counts.

RRJAuer1
95% match