Fork of Making a Bar Chart

Fork of Bar Chart

This bar chart visualizes the number of migrants per country, with bar heights encoding the values on a linear scale. The chart uses D3 v6 to load CSV data, create band and linear scales, and render SVG axes and rectangles. Interactive mouseover events change bar colors from steel blue to orange, with a smooth transition on mouseout. The data originates from a remote CSV file, and the visualization is built entirely with D3’s selection, scale, and axis APIs.

88% match

Fork of Fork of Stylized Bar Chart

This bar chart displays the top 14 countries by migrant population, with horizontal bars proportional to the values. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The SVG rendering includes custom `AxisBottom`, `AxisLeft`, and `Marks` components, with tick formatting via `format('.2s')`. Data comes from a CSV sourced from the United Nations World Population Prospects 2019.

88% match

Fork of Fffork of Stylized Bar Chart

This stylized bar chart displays the top 14 countries by migrant population in 2020, ranked on the y-axis with horizontal bars extending along the x-axis. Built with React and rendered as SVG, it uses D3 v5 scales and formatters: `scaleBand` for categorical y-axis positioning, `scaleLinear` for the numeric x-axis, and `format` to abbreviate large numbers with a custom tick formatter that converts gigabytes to billions. Data is fetched from a CSV file using the `fetch` API and parsed via `d3.csvParse`, with a Poppins font and custom axis colors.

86% match

Fork of Fork of Fork of Fork 999 of Stylized Bar Chart

This example visualizes the top 10 most populous countries using a stylized bar chart, with countries on the x-axis and migrant counts on the y-axis. The chart loads CSV data from a GitHub gist containing United Nations World Population Prospects 2019 data. Built with React and D3 v5, the visualization uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and SVG `<rect>` elements via the `Marks` component. Axes are rendered using custom `AxisBottom` and `AxisLeft` components, with data formatting applied through `d3.format`.

86% match

Fork of Fork of Fork 999 of Stylized Bar Chart

This fork of a stylized bar chart visualizes the top 10 most populous countries, with a second dataset representing migrants. It uses React and D3 v5 via `scaleBand` and `scaleLinear` to map country names and migrant values to SVG rectangles, with custom axes for tick labels. The horizontal bars display data from the United Nations World Population Prospects 2019, loaded through D3’s `csv` function.

Fork 5 of Stylized Bar Chart

This bar chart displays the top 14 countries by migration to the U.S., using data from the United Nations World Population Prospects 2019. The visualization uses React with SVG rendering, employing `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. Axis components are custom-built, with tick formatting via `d3.format` to convert raw values into abbreviated labels like "1.5B". Native SVG `<title>` elements provide tooltips on hover, while the Poppins font and custom styling give the chart its distinctive appearance.

Fork of Making a Bar Chart

This fork of a D3 bar chart displays the population of the ten most populous countries, based on 2018 estimates from the United Nations’ World Population Prospects 2017. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map population values and country names to SVG rectangles, with axes generated by `axisLeft` and `axisBottom`. Data is loaded from a CSV file via `d3.csv`, and each population value is multiplied by 1000 to reflect actual figures. The chart renders purely as SVG, with steelblue bars.

AAustin Krauss

Fork of Fork of 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 chart uses a linear scale for the population axis and a band scale for countries, with bars rendered as SVG rectangles. It customizes the D3 axes, including a formatted tick label that converts large numbers to abbreviated units and removes default axis lines. The code loads data from a CSV file and relies on d3.csv, scaleLinear, scaleBand, axisBottom, axisLeft, and format.

Sskambhore04