BandTests

D3 Page Template

This example displays the top 10 most populous countries as horizontal bars, with country names on the vertical axis and population counts on the horizontal axis. The visualization is built with React components that use D3 scales, including `scaleBand` for the categorical y-axis and a linear scale for the x-axis. Data is loaded asynchronously from a CSV file using `d3.csv` from D3 v6, with the UN World Population Prospects 2019 dataset. Axes and marks are rendered as SVG elements through reusable JSX components, with tooltips embedded as SVG `<title>` elements.

Jjane-heff

task-8(1.2)

This example displays a horizontal bar chart of the top 10 countries by population in 2010, sorted along the y-axis with bars proportional to population values. It uses React with D3 v5’s `scaleBand`, `scaleLinear`, `max`, and `format` APIs to compute scales and tick labels, rendering SVG elements via reusable components like `AxisBottom`, `AxisLeft`, and `Marks`. Data loads asynchronously from a CSV URL using `d3.csv`, and each bar includes a native SVG `<title>` tooltip showing the formatted population.

DDivyaKota2@my.unt.edu

Test

This example shows the top 10 most populous countries as horizontal bars, with country names on the y-axis and population counts on the x-axis. The chart uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` handling the position and size of each bar. Data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`. Hovering reveals a native tooltip, and axis ticks are formatted using D3’s `format` to abbreviate large numbers.

AAnkush

Stylized Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with a fixed-width SVG layout and a loading state. It uses React with d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis, while d3.format abbreviates population values (e.g., “1.4B”). The data is loaded via d3.csv from the UN World Population Prospects 2019 dataset, sorted and sliced to the top 10. Axes are custom SVG components, and each bar has a native <title> tooltip.

Iip01

D3.js

This visualization displays a bar chart of the top 10 most populous countries, with population values scaled linearly along the x-axis and country names ordered along a band scale on the y-axis. The code uses d3.csv to load population data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom to render axes with custom tick formatting. The chart is rendered as SVG within a React framework, with bars colored green and a title labeling the dataset.

WWholebitmedia

population

This example displays a horizontal bar chart of the top 10 countries by projected 2020 population, using data loaded from a CSV file. The visualization employs React for component rendering and SVG for drawing rectangles, with scales from D3 (`scaleBand` and `scaleLinear`) mapping country names to y-positions and population values to bar widths. The data is fetched asynchronously using D3’s `csv` utility, and the bars are colored uniformly without additional styling.

RRonald Yagan

Activity_6_test2

This example shows a horizontal bar chart ranking the populations of 20 countries in 2010, with data loaded from a remote CSV and rendered as an SVG using React and D3 v5. It uses `d3.csv` to fetch and parse the dataset, `scaleBand` for the categorical y-axis, and `scaleLinear` for the numeric x-axis. Custom React components draw the axes and marks, with green bars whose widths encode population values and tooltips showing formatted numbers via `d3.format`.

HHafsa Hayath

Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, ranked by population, with country names on the left and a linear population scale on the bottom. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and renders SVG rectangles via the `Marks` component. Axis labels and ticks are generated by `AxisBottom` and `AxisLeft`, which map scales to SVG elements. Data comes from the UN World Population Prospects 2019 CSV, loaded asynchronously with `d3.csv` inside a custom `useData` hook.

VVeerle