fm — VizHub

Bar Charts

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The bars are rendered in SVG with a steelblue fill, while D3’s axis generator provides customized tick labels and lines in muted grays. The chart uses `d3.csv` to load the data and `d3.scaleBand` and `d3.scaleLinear` for positioning and scaling. An axis label and a title are added as text elements, with font sizes and colors styled via CSS.

Tthebeef5

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.

Ttkreglhn

Bar Chart w/ D3.js

This bar chart displays the population of the ten most populous countries using 2018 estimates from the UN World Population Prospects. The visualization employs D3.js v6 with SVG rendering, using `scaleLinear` for the x-axis and `scaleBand` for categorical country labels. Population values, read from a CSV file via D3's `csv` method, are multiplied by 1000 before being drawn as steelblue rectangles with axes generated by `axisLeft` and `axisBottom`.

Ggoodej

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 with SVG, using D3 v5’s `scaleLinear` for the population axis and `scaleBand` for country categories, with `axisLeft` and `axisBottom` for labels. Data is loaded from a CSV file via `d3.csv`, and each country’s population is multiplied by 1,000 before being drawn as steel-blue rectangles.

FFANN438

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 2017. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Axes are customized with tick formatting that converts values to billions (e.g., replacing "G" with "B") and removed domain lines. Population data is loaded from a CSV file and multiplied by 1000.

Ccocktaildata

Simple Bar Chart

This SVG bar chart displays the population of the ten most populous countries, based on 2018 estimates from the United Nations' World Population Prospects. The chart uses a horizontal layout, with country names on the y-axis and population values on the x-axis, rendered as steelblue bars. The visualization is built with D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with axes labeled via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a CSV file.

GGabrielle Nyirjesy

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 pairs a linear scale for population values with a band scale for country names, rendering horizontal bars in SVG. Built with D3 v5, the code uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to draw the axes. Population figures are multiplied by 1000 to reflect actual counts.

JJack Middlebrook

making a bar chart!

This bar chart displays the population of the ten most populous countries, based on 2018 data from the United Nations World Population Prospects. It shows each country’s population as a horizontal bar, ordered from largest to smallest. The visualization uses D3 v6 with the `scaleLinear` and `scaleBand` APIs to map population values and country names to screen coordinates, and employs `axisLeft` and `axisBottom` for the axes. Data is loaded from a CSV file, with population values multiplied by 1000 to reflect actual figures. The chart is rendered as an SVG, with bars styled in steel blue.

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