Fork of Formatting axis

100%

Fork of Formatting axis

✓ Published0🌍 Public

Last edited Jul 10, 2022

Created on Jul 8, 2022

This bar chart displays the population of the top 10 most populous countries, with country names on the y-axis and population values on the x-axis, using a horizontal layout. It loads data from a CSV file and renders as SVG within a React framework, leveraging d3.scaleLinear and d3.scaleBand for scales. The code formats the x-axis tick labels using d3.format’s ".3s" abbreviation and applies d3.axisLeft and d3.axisBottom for the axes. Each bar’s width corresponds to the population, with steelblue fill and custom font styling from CSS.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Fork of Formatting axis

This bar chart displays the top 10 most populous countries, using horizontal bars ordered by population with formatted axis labels. The visualization loads data from a CSV file and renders it as SVG using React with D3 v7. It employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` with `d3.format(".3s")` to abbreviate population values. The chart includes a title and axis label, with bars styled in steelblue.

CCrystal Lee

97% match

Loading thumbnail…

Fork of Formatting axis

This example displays a bar chart of population data for the ten most populous countries, with each bar's height proportional to its value. The visualization uses a Data-Driven Documents (D3.js) version 7 library with an SVG rendering, and it showcases a custom axis formatting technique where tick labels are styled with CSS. The chart is minimal, featuring steel blue rectangles and large san-serif font text.

JJoshua Arnold

92% match

Loading thumbnail…

Fork of axis

This example displays the top 10 most populous countries as a bar chart with no axes, using React to render SVG elements. It loads United Nations World Population Prospects 2019 data via d3.csv, then uses d3.scaleBand for the y-axis categories and d3.scaleLinear for the x-axis values. The chart draws tick marks and labels for both scales using d3’s scale methods, while the bars themselves are plain SVG rectangles. The rendering relies on React’s useState and useEffect hooks to manage the asynchronous data fetching.

NNart Williamson

90% match

Loading thumbnail…

Formatting axis

This example shows a horizontal bar chart of the top 10 most populous countries, with population values formatted using d3.format’s ".3s" abbreviation (e.g., 1.42M). The chart uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisBottom with a custom tickFormat to display compact population labels. Data is loaded from a CSV file via d3.csv, and the SVG rendering is driven by React-compatible D3 v7 code. Axis gridlines are removed, and a text label for the x-axis appears below the ticks.

Aalisha-zemoso

90% match

Loading thumbnail…

Fork of Stylized Bar Chart

This bar chart displays the top 10 most populous countries using an inverted horizontal layout, with country names on the vertical axis and population values on the horizontal axis. The visualization uses React components to render SVG elements, with d3.scaleBand positioning the categorical axis and d3.scaleLinear mapping population values. The d3.csv loader fetches data from a GitHub Gist containing United Nations World Population Prospects 2019 data, while d3.format applies abbreviated tick labels that convert millions to billions. The chart includes styled tick marks, a Population axis label, and native SVG tooltips showing formatted values on hover.

Jjjacobatandover

90% match

Loading thumbnail…

Fork of Axes with React & D3

A React & D3 bar chart displays the top 10 most populous countries, using a horizontal layout with population values along the x-axis and country names on the y-axis. The chart fetches data from the United Nations World Population Prospects 2019 CSV, loading it via d3.csv, and renders as an SVG. It manually constructs axes using d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, with tick marks and labels generated from the scales. The visualization highlights the deliberate omission of gridlines and axis titles, focusing solely on the data bars.

AAchala237

90% match

Loading thumbnail…

Fork of Stylized Bar Chart

This example shows the population of the top 10 most populous countries as horizontal bars, sorted in descending order. The chart uses React to render SVG elements, with d3-scale for creating the linear x- and band y-scales, and d3-format to abbreviate tick labels (e.g., converting billions to “B”). Data is loaded asynchronously from a CSV file using d3.csv, and a tooltip appears on each bar via an SVG `<title>` element. The visualization demonstrates a clean, minimal styling with custom font and color choices.

MMatthew Talty Colvard

90% match

Loading thumbnail…

Fork of Stylized Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population in billions on the x-axis. The React application uses d3.csv to load United Nations World Population Prospects 2019 data, d3.scaleBand for the categorical axis, and d3.scaleLinear for the quantitative axis. SVG rectangles render the bars via the Marks component, while custom axis components generate ticks and labels.

MMarvin

90% match