Countries table

100%

Countries table

✓ Published0🌍 Public

Last edited Apr 26, 2024

Created on Apr 26, 2024

This bar chart displays the top 30 countries by land area, using a horizontal layout where each bar’s length corresponds to the country’s area in square kilometers. The visualization is rendered as an SVG using React and D3 v5, with data loaded from a CSV file via `d3.csv`. It employs `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, while custom React components (`AxisBottom`, `AxisLeft`, `Marks`) draw the axes and rectangles. Tooltips show formatted area values, and axis tick labels are formatted using `d3.format`. The chart also includes a blue x-axis gridline and a labeled “LANDAREA” axis title.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

ACT6-TUTORIAL1

This bar chart displays the population of 30 countries for the year 2020, using horizontal bars ranked by country name. The visualization, built with React and D3 v5, loads CSV data via `d3.csv` and scales the bar lengths with `scaleLinear`, while `scaleBand` positions the categorical y-axis. Custom `AxisBottom` and `AxisLeft` components render SVG ticks and labels, with population values formatted in billions using `d3.format`. Tooltips appear on hover through SVG `<title>` elements, and the chart includes a green bar fill with blue axis lines.

RRayabarapu Nikhitha

82% match

Loading thumbnail…

Activity 6_Task 1

This bar chart displays the population of the top 30 countries in 2020, ordered by country name along the vertical axis and scaled population values along the horizontal axis. The visualization uses React with D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded from a CSV file via `d3.csv`, rendered as SVG rectangles, with axes generated by custom components and formatted tick labels using D3's `format` function.

Mmoulidomar@hotmail.com

81% match

Loading thumbnail…

activity 7

This example shows the top 30 most populous countries in 2020 as a horizontal bar chart, with each bar’s length encoding population and a native SVG `<title>` element providing hover tooltips. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and `format('.2s')` to abbreviate tick labels (e.g., “1.2B”). The data is loaded asynchronously from a CSV file using D3’s `csv` function, and axes are rendered as custom SVG components.

Ssumanthpenna0221@gmail.com

81% match

Loading thumbnail…

Activity

This bar chart displays the 2020 populations of 30 countries, sorted by country name, using horizontal bars with a green fill and blue tick marks. The React app loads CSV data from a GitHub URL via `d3.csv`, transforms raw numbers by multiplying by 1000, and renders with `scaleBand` and `scaleLinear`. Axis labels use D3’s `format('.2s')` to abbreviate values, and each bar includes a native SVG `<title>` tooltip. The layout is static, with margins and dimensions fixed in the code.

AAbdul Kareem

81% match

Loading thumbnail…

act6q1.2

A horizontal bar chart displays the top 20 countries by 2010 population, with green bars ordered by country name along the y-axis and population values on the x-axis. The visualization uses React with D3 v5’s `scaleBand` and `scaleLinear` to position bars and axes, while `csv` loads data from a GitHub-hosted CSV file. Custom React components (`AxisBottom`, `AxisLeft`, `Marks`) render SVG elements, with a Poppins font and formatted tick labels converting billions from D3’s `.2s` format.

Sshravan.s0710@gmail.com

81% match

Loading thumbnail…

Activity6_Task1

This visualization shows the top 30 countries by population in 2020 using a horizontal bar chart built with React and D3 v5. Each bar’s length encodes population via a linear scale (`d3.scaleLinear`), while countries are positioned along a band scale (`d3.scaleBand`). The code fetches CSV data from a GitHub repository, formats population values, and renders SVG rectangles with tooltips. Custom React components (`AxisBottom`, `AxisLeft`, `Marks`) handle axes and marks, with axis tick formatting converting values to billions using `d3.format`.

Ggnanendra097@gmail.com

80% match

Loading thumbnail…

Bar chart with D3

This bar chart displays the population of the top 10 countries for 2020, using horizontal bars sorted by country name. The chart is built with React and D3 v5, rendering SVG elements. The code defines custom `AxisBottom`, `AxisLeft`, and `Marks` components, using D3's `scaleBand` and `scaleLinear` for scales and `format` for tick labels. Data is loaded from a CSV URL using `d3.csv`, and population values are computed by multiplying the '2020' column by 1000.

Eekmankaur

80% match

Loading thumbnail…

Activity8_task1

A horizontal bar chart displays the top 30 countries by 2020 population, with bars sorted by country name and lengths proportionally scaled to population values. The visualization uses React to render SVG elements, with D3 v5 scales (scaleBand and scaleLinear) mapping data to positions. CSV data loads from a GitHub repository and processes the 2020 column by multiplying by 1000. The chart includes axis components with formatted tick labels converting G to B for billions, plus a light green bar fill and tooltips showing exact values.

Ssirichandana017@gmail.com

80% match