Making a Bar Chart Updated Data

100%

Making a Bar Chart Updated Data

✓ Published1🌍 Public

Last edited May 19, 2025

Created on May 19, 2025

This bar chart displays the top 10 most populous countries using 2025 population projections from a CSV file, highlighting China and India in steel blue with inline labels while other bars appear gray. Built with D3 v5, the visualization uses `d3.csv`, `scaleLinear`, and `scaleBand` to map population values and country names, with SVG rendering for the axes, grid lines, and bar elements. The code applies formatting via `d3.format` to display tick values in billions and labels with commas, and styles the chart through external CSS.

AI-generated description

Updated population data to 2025 projections

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a bar chart

This bar chart displays the population of the top 10 most populous countries, with China and India leading by a significant margin. The visualization uses D3 v5’s `scaleLinear` for the x-axis and `scaleBand` for the y-axis, rendering SVG rectangles. Data comes from the World Population Prospect 2017, with raw values multiplied by 1000. The chart includes formatted tick labels via `axisBottom` with a custom `.3s` format, a population axis label, and a title, all styled with tomato-colored bars and a Ubuntu font.

JJenny

91% match

Loading thumbnail…

Making a bar chart

This bar chart ranks the populations of ten countries in 2018, showing China and India as the most populous. The visualization uses D3 version 6 with an SVG rendering. The code imports `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from D3 to construct the axes and scales. It reads population data from a CSV file, multiplies each value by 1000, and draws steel-blue rectangles with widths proportional to population, using margins and a padded band scale for country labels.

WWayne716

90% match

Loading thumbnail…

Making a Bar Chart

This horizontal bar chart displays the populations of the world’s ten most populous countries, with China and India leading by a wide margin. The visualization uses D3 v5 to load data from a CSV file, scaling population values linearly along the x-axis and country names along a band scale on the y-axis. SVG rectangles are appended and sized using D3’s scaleLinear and scaleBand, while axisLeft and axisBottom generate the labeled axes. The chart is styled with a steelblue fill for the bars.

JJMason88

90% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects. It shows population values for each country, with China and India leading significantly. The visualization uses D3 v5 with scaleLinear and scaleBand to map data to SVG rectangles, while axisLeft and axisBottom render the labeled axes with custom tick formatting. The code also customizes axes by removing domain lines and adds a title and axis label. Population data is loaded from a CSV file and multiplied by 1000.

Ccodexmon

90% match

Loading thumbnail…

Making a Bar Chart

This bar chart visualizes the populations of the top ten most populous countries, based on 2018 estimates from World Population Prospects 2017, with each bar’s length reflecting the population value. Using D3 v5, the code loads CSV data via `csv`, scales values with `scaleLinear` and `scaleBand`, and renders axes with `axisLeft` and `axisBottom`. The chart is drawn as an SVG, with bars styled in steelblue, and country labels positioned along the vertical axis.

Ccledevoute

89% 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

89% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization highlights how China and India lead by a wide margin. Built with D3 v5, it uses `scaleLinear` for the x-axis and `scaleBand` for categories, with customized `axisBottom` and `axisLeft` elements. The population values are multiplied by 1000 in the code, and the SVG rendering positions steelblue rectangles while formatting tick labels with D3’s `format` function.

Zzahra929

89% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart renders as SVG, with a linear scale for population values and a band scale for country names. The code uses d3.csv to load the data, then applies d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to construct the visualization. Bars are appended as rect elements, with China and India visibly dominating the population totals.

Ffbudwill

89% match