Making a Bar Chart

100%

Making a Bar Chart

✓ Published1🌍 Public

Last edited Oct 21, 2018

Created on Oct 20, 2018

This bar chart displays the populations of the top 10 most populous countries in 2018 according to United Nations estimates. It uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for the horizontal population axis and `d3.scaleBand` for the categorical country axis. The code loads data from a CSV file and converts population values from strings to numbers, appending rectangles and axes via `axisLeft` and `axisBottom`.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries from a 2018 United Nations estimate. It uses D3 v5 to load CSV data, scale to a linear x-axis and banded y-axis, and render SVG rectangles for bars. The code specifically leverages `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with population values multiplied by 1000 for display.

DDavid Trye

97% match

Loading thumbnail…

Making a Bar Chart

This bar chart visualizes the populations of the top 10 most populous countries using 2018 United Nations data. It uses d3.scaleLinear for the x-axis population scale, d3.scaleBand for the categorical y-axis, and renders as SVG. The code loads data from a CSV via d3.csv, converts population values to thousands, and appends axis components with d3.axisLeft and d3.axisBottom to a transformed group.

HHeschmat

96% 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 chart uses an SVG rendering approach with D3 v5, loading data from a CSV file via `d3.csv`. Each rectangle’s height is mapped to the population value, which is multiplied by 1000 to reflect the actual population count in thousands. The code demonstrates a basic bar chart construction using D3 selections and data binding, though the visual encoding is not fully implemented in the provided snippet.

Cchrisvaillancourt

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. It uses D3 v5 to load the data from a CSV and render an SVG with linear and band scales. The chart applies `scaleLinear` for the population axis and `scaleBand` for the country categories, while `axisLeft` and `axisBottom` handle tick marks. Population values are formatted in abbreviated units (e.g., "B" for billions) via the `format` API.

Rraphman100

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries based on 2018 United Nations estimates, with countries on the y-axis and population values on the x-axis. It uses D3 v5 to load the CSV data, apply a linear scale for population and a band scale for countries, and render SVG rectangles with formatted tick labels via `axisBottom` and `axisLeft`. The chart is drawn inside an 800×480 SVG element with margins, and the axes are customized by removing domain lines and tick lines on the y-axis.

VVincent Ko

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 United Nations estimates. It uses D3 v5 APIs including `csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the visualization as SVG. The chart customizes axes by removing domain lines and ticks, and formats population labels using `format('.3s')` with a custom “B” suffix for billions. The data loads from the local `data.csv` file and is preprocessed by multiplying values by 1000.

CCurran Kelleher

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The D3 v5 code loads data from a CSV file and uses `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, with `axisLeft` and `axisBottom` for rendering tick marks. Population values are multiplied by 1,000, and rectangular bars are appended to an SVG, styled with steelblue fill.

Hhirokat

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries based on 2018 United Nations estimates, with country names on the y-axis and population values on the x-axis. Built with D3 v5, it uses `d3.scaleLinear` and `d3.scaleBand` to map data, `d3.axisLeft` and `d3.axisBottom` for customized axes, and appends SVG rectangles for bars. The data is loaded from a CSV file and rendered as an SVG graphic.

Ccedriccaijo

95% match