100%

Fork of Simple Bar Chart

✓ Published0🌍 Public

Llegrande.sd.designs@gmail.com

Last edited Nov 30, 2024

Created on Nov 30, 2024

This fork of a bar chart visualization displays the top 10 most populous countries as of January 1st, 2024, using population data from the @curran/un-population-estimates-2024 dataset. The chart shows country names on the x-axis and population values in thousands on the y-axis, with bars rendered via SVG rectangles. It uses D3.js APIs including `scaleLinear`, `scaleBand`, and `axisLeft` to build the scales and axes, while importing axis label helpers from @curran/axis-labels. The visualization sorts the data in descending order and slices the first 10 entries before rendering.

AI-generated description

A bar chart showing the top 10 most populous countries on Earth as of January 1st 2024.

Challenge

Fork this viz and modify it to show your own data

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Simple Bar Chart

This fork of a Simple Bar Chart displays the top 10 most populous countries as of January 1, 2024, using data from the @curran/un-population-estimates-2024 package. The chart uses d3.scaleBand and d3.scaleLinear to position bars, with axis labels generated via the @curran/axis-labels module. The visualization sorts countries in descending order of population and filters for the 'Country/Area' type. The code imports from d3 and uses selection joins to create the SVG elements, with the chart adapted for viewing within a gallery iframe.

Ssteven.ellis.haynes@gmail.com

95% match

Loading thumbnail…

Fork of Simple Bar Chart

This example visualizes the top 10 most populous countries as of January 1, 2024, using a horizontal bar chart. It highlights each country’s total population in thousands, sorted in descending order to emphasize the largest nations. The visualization is built with D3.js, employing `scaleBand` for categorical country labels and `scaleLinear` for population values, while custom axis-label components from `@curran/axis-labels` clarify the axes. Data comes from the `@curran/un-population-estimates-2024` dataset, filtered to include only country-level entries. The chart renders SVG rectangles for bars, with a gray inner background, and uses D3’s selection and join methods to bind data efficiently.

KKusumaKumariDama@my.unt.edu

93% match

Loading thumbnail…

Fork of Simple Bar Chart

This fork of a simple bar chart visualizes the top 10 most populous countries in 2024, using data from the UN population estimates. The chart shows population counts in thousands, with each bar labeled by country name. The visualization uses D3's `scaleBand` and `scaleLinear` for axes, along with `axisLeft` and `x`/`y` axis label functions from the `@curran/axis-labels` library. A light gray inner rectangle highlights the plot area, and the bars are rendered as `rect` elements. The data is sorted in descending order and filtered to only include country or area types before selecting the top 10.

Iiffath.namira@csedge.org

93% match

Loading thumbnail…

Fork of Simple Bar Chart

This bar chart displays the top 10 most populous countries as of January 1, 2024, using data from the `@curran/un-population-estimates-2024` dataset. It filters for entries of type "Country/Area", sorts by the total population column in descending order, and selects the first ten. The visualization uses D3.js functions like `scaleBand` for the categorical x-axis, `scaleLinear` for the population y-axis, and custom axis label helpers. The code also demonstrates the `.join()` pattern for declarative SVG element creation, and includes a grey inner rectangle to visually frame the plotting area.

SSander Rebane

93% match

Loading thumbnail…

Fork of Simple Bar Chart

This bar chart displays the top 10 most populous countries as of January 1, 2024, using data from the UN population estimates. It shows each country's total population in thousands, sorted in descending order. The visualization filters the dataset to country-level records, sorts by population, and selects the top ten entries. The chart is rendered using d3's `scaleBand` and `scaleLinear` to map countries and population values to positions, with axis labels positioned via the `@curran/axis-labels` library.

DDonald Bagwell

93% match

Loading thumbnail…

Fork of Simple Bar Chart

This bar chart displays the top 10 most populous countries as of January 2024, using data from the @curran/un-population-estimates-2024 package. The visualization uses d3.scaleBand and d3.scaleLinear to position bars, with axis labels rendered via @curran/axis-labels. The code filters for country/area type entries, sorts by total population in descending order, and slices the top 10 records. Each bar’s height is computed using the y-scale, while the inner rectangle provides a light gray background for the plotting area.

Xx900.cs11@nycu.edu.tw

93% match

Loading thumbnail…

Fork of Simple Bar Chart

This fork of the simple bar chart displays the ten most populous countries as of January 1, 2024, with country names on the x-axis and population in thousands on the y-axis. It uses D3’s `scaleBand` and `scaleLinear` to position bars, along with `axisLeft` and the `@curran/axis-labels` helper for axis rendering and labels. The data is loaded from a GitHub-hosted CSV file, filtered to countries, and sorted in descending order to select the top ten.

Bblanchestora@gmail.com

92% match

Loading thumbnail…

Fork of Simple Bar Chart

This fork of a simple bar chart displays the top 10 most populous countries as of January 1, 2024, using data from the UN population estimates dataset. The visualization ranks countries by total population in thousands, with bars sorted in descending order. Built with D3 v7, it uses `scaleBand` for the categorical x-axis and `scaleLinear` for the numeric y-axis, while `axisLeft` and custom axis-label utilities render the chart elements. The reusable `viz` component accepts configurable margins, labels, and data mappings, making it adaptable for different datasets.

Ppadmeshnaik22@gmail.com

92% match