Making a Bar graph

100%

Making a Bar graph

✓ Published0🌍 Public

Last edited May 8, 2020

Created on May 8, 2020

This example displays the top ten most populous countries as circles, using a bar-chart-like layout where circle position encodes population on a linear scale and country on a point scale. The chart uses D3 v5’s `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to construct the axes and `selectAll`/`append` to render SVG circles. Data originates from a UN report, loaded from a CSV file.

AI-generated description

It is the data of top ten populous countries in the world, according to the report by UN

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar graph

This example visualizes the top ten most populous countries using a bar chart built with SVG circles and D3.js. It displays population data from the UN, with each circle’s position encoding country and population size. The code uses `d3.csv` to load data, `scaleLinear` and `scalePoint` for scales, and `axisLeft` and `axisBottom` for axes. Population values are formatted with `d3.format`, and circle radii are fixed at 15 pixels.

PPraneeth Varma

96% match

Loading thumbnail…

Making a Bar graph

This horizontal bar chart displays the ten most populous countries using data from a UN report. D3 version 5 loads the CSV and scales the population values by a thousand. The visualization uses `scaleLinear` for population, `scaleBand` for country names, and `axisBottom` with a custom tick formatter to convert units like G to B. SVG rectangles are positioned and sized according to the scales, with axis labels and a title styled via CSS.

PPraneeth Varma

93% match

Loading thumbnail…

Making a Bar graph

PPraneeth Varma

93% match

Loading thumbnail…

Making a Bar graph

PPraneeth Varma

93% match

Loading thumbnail…

Making a Bar graph

This example shows a horizontal bar chart of the ten most populous countries, with population values from a UN report. The code loads data from a CSV file, multiplies the raw population figures by 1000, and renders bars using SVG `rect` elements. It uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` for the axes, with data loaded via `d3.csv`.

PPraneeth Varma

92% match

Loading thumbnail…

Making a bar chart

Top 10 most populous countries are visualized as circles whose horizontal position encodes population count and vertical position encodes country, creating a bar chart with circular bars. The example uses D3 version 5 APIs including `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to render the SVG. Data loads from a CSV file containing country and population figures, which are multiplied by 1000. The visualization removes default axis domains and tick lines, and appends a title and axis label directly to the SVG group.

Kkatrinrodkina

91% match

Loading thumbnail…

Making a Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the y-axis and population counts along the x-axis. The chart uses data from the United Nations World Population Prospects 2019, loaded from a CSV file. Constructed with D3 v5, the code uses `select`, `csv`, `scaleLinear`, `scaleBand`, `max`, `axisLeft`, and `axisBottom` to define scales and render SVG rectangles. The bar lengths encode each nation’s population, drawn in steel blue with an accompanying axis for reference.

Aarun-subba

91% match

Loading thumbnail…

Making a bar chart

This example shows a horizontal bar chart of the top 10 most populous countries, using circles sized by population instead of traditional bars. The chart loads data from a CSV file and renders as an SVG. The code uses D3 v5 APIs including `select`, `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to build the visualization, with custom tick formatting and a title.

Jjay

91% match