tkreglhn

@tkreglhn·8 public vizzes

Making a Bar Chart

This bar chart shows the population distribution across age groups (from 0-4 to 95+ years) for a given population. Using D3.js version 5, it employs `d3.scaleLinear` and `d3.scaleBand` to map population values and age categories to the x and y axes, respectively. The SVG includes axes via `d3.axisLeft` and `d3.axisBottom`, with bars rendered as `rect` elements filled in steel blue. The data is loaded from a CSV file containing country and population columns.

Apr 15, 2019

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Making a Bar Chart

This bar chart displays the population distribution across twenty age cohorts, ranging from "00-04" to "95-eo" years, based on a 2018 United Nations World Population Prospects estimate. The visualization uses D3 v5 with an SVG rendering approach. The code employs `scaleLinear` for the population x-axis, `scaleBand` for the categorical y-axis, and `axisLeft`/`axisBottom` for the chart’s gridlines. Population data is loaded from a CSV file and parsed into numeric values before rendering steelblue rectangles.

Apr 15, 2019

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bar chart

This horizontal bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. Using D3 v5, it employs `scaleLinear` and `scaleBand` to map population values and country names, respectively, while `axisBottom` and `axisLeft` generate the labeled axes. The SVG bars are colored steelblue via CSS, with tick formatting converting numbers to abbreviated units like “B” for billions. Data is loaded from a CSV file using D3’s `csv` parser.

Apr 15, 2019

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bar chart

This bar chart displays the population of the top 10 most populous countries, using data from the 2017 United Nations World Population Prospects (2018 estimate). It also includes additional countries with population values, some of which are negative. The visualization is built with D3 v5, using `scaleLinear` and `scaleBand` for scales, and renders as an SVG. Axes are formatted with `axisLeft`, `axisBottom`, and a custom tick format that converts values to billions.

Apr 15, 2019

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bar chart

This horizontal bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization loads data from a CSV file using `d3.csv`, then renders SVG bars with `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population values. Axis labels and tick formatting use `d3.axisLeft`, `d3.axisBottom`, and `d3.format` to abbreviate population numbers in billions. The chart includes a title, axis label, and custom margins.

Apr 15, 2019

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bar chart

This bar chart displays the top 10 most populous countries in 2018, based on estimates from the United Nations World Population Prospects 2017. It uses a horizontal bar layout with population values on the x-axis and country names on the y-axis. The visualization is built with D3 v5, employing `scaleLinear` and `scaleBand` for scales, `axisLeft` and `axisBottom` for axes, and SVG rectangles for bars. Data is loaded from a CSV file, with population values multiplied by 1000.

Apr 15, 2019

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bar chart

A horizontal bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The chart uses D3 v5 with an SVG rendering, employing `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for labeled ticks. Population values are loaded from a CSV file, multiplied by 1000, and formatted with abbreviations like “B” for billions.

Apr 15, 2019

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Customizing Axes

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 visualization highlights custom axis styling, removing default domain lines and tick lines on the y-axis while adding grid lines and a formatted x-axis that converts values from billions to a "B" suffix. The code uses D3.js v5, scaling data with `scaleLinear` and `scaleBand`, and configures axes via `axisBottom`, `axisLeft`, and `.tickFormat`. Custom fonts, colors, and labels are applied through CSS, with SVG rendering for the output.

Apr 15, 2019