Skip to main content
SimilarExport ZIP
100%

Activity 6_Task 1

✓ Published1🌍 Public
Nnikhilthoutu24@gmail.com
Last edited Apr 5, 2025
Created on Apr 1, 2025
Forked from Hello VizHub

This visualization displays the population of 30 countries in 2020 as a horizontal bar chart. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded from a remote CSV file using D3’s `csv` function, and population values are multiplied by 1000. The SVG rendering uses custom React components for axes and marks, with tooltips formatted using D3’s `format` function to abbreviate large numbers (e.g., “1.23B”).

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity 6 Task 1

This visualization displays the population of 30 countries in 2020 using a horizontal bar chart rendered as SVG in React. It imports D3 v5 utilities such as `scaleBand`, `scaleLinear`, `max`, and `format` to map country names to bar heights and population values to bar widths. The chart includes labeled axes, with the y-axis listing countries and the x-axis showing formatted population values (e.g., "1.2B") via a custom tick format. Data is loaded asynchronously from a remote CSV using the `csv` function, and tooltips appear on each bar via a native `<title>` element.

Jjaswanthreddy2000@gmail.com
96% match
Loading thumbnail…

Activity 6_Task 1

This visualization displays the populations of 30 countries for the year 2020 as a horizontal bar chart, with each bar’s length proportional to its population value. The chart is rendered as an SVG using React components, with D3 v5’s `scaleBand` and `scaleLinear` handling the y-axis categories and x-axis scaling respectively. Population values are formatted with D3’s `format('.2s')` to abbreviate large numbers, converting gigabytes to billions for tick labels. The data is loaded via `d3.csv` from a GitHub-hosted CSV file, and axis ticks and bars are styled with custom CSS classes.

Nneerajreddyaluka@gmail.com
96% match
Loading thumbnail…

Activity6_Task1

This visualization displays the population of 30 countries in 2020 as a horizontal bar chart, with bars sorted by country name and lengths proportional to population. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and renders bars as SVG `<rect>` elements. The data is fetched from a CSV via `d3.csv`, with population values converted from thousands. Tooltips show the exact population values, and axis labels are formatted using `d3.format` with 'G' replaced by 'B' for billions.

Ttejaswiteju9811@gmail.com
96% match
Loading thumbnail…

Activity-6(Task1)

This bar chart displays the population of 30 countries in 2020, using horizontal bars that encode population values by length. The visualization is built with React and D3 v5, leveraging D3’s `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and SVG rendering for crisp output. The chart includes custom tick formatting that converts scientific notation to readable numbers, and tooltips show exact population values. Data is loaded from a remote CSV file using D3’s `csv` parser.

Vvandanakosuri@my.unt.edu
96% match
Loading thumbnail…

activity 6_Task 1

This chart displays the population of 30 countries in 2020 using a horizontal bar chart, with country names on the y-axis and population values on the x-axis. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and SVG rectangles as marks with native tooltips. Data is loaded asynchronously from a CSV hosted on GitHub via `d3.csv` (not `d3.forceSimulation` or other graph APIs), and population values are preprocessed by multiplying the year-2020 column by 1000. The axes are custom components (`AxisBottom` and `AxisLeft`) using D3 ticks and formatting with `format('.2s')` to display values in billions.

Gguttavenkata745@gmail.com
96% match
Loading thumbnail…

activity 6_Task 1

This visualization shows the population of 30 countries in 2020 as a horizontal bar chart. The React-based code uses D3 v5 to load CSV data, and employs `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates. The SVG rendering includes custom axis components and rectangle marks, with tooltips showing formatted population values. Data originates from a GitHub-hosted CSV file, and the chart is rendered entirely with SVG elements.

SSowjanya Devupalli
95% match
Loading thumbnail…

activity 6_Task 1

This visualization shows the 2020 population for 30 countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The bars are rendered as SVG rectangles using React components, with scales from d3.scaleBand and d3.scaleLinear. Axes are custom components using d3 tick formatting, and the data is loaded from a CSV file via d3.csv with population values multiplied by 1000.

Hhkodiripaka15@gmail.com
95% match
Loading thumbnail…

Activity6_Task1

This visualization displays the populations of 30 countries in 2020 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The bars are rendered as SVG rectangles using React components, with scales created via d3.scaleBand and d3.scaleLinear. Data is loaded asynchronously from a CSV file using d3.csv, and axis ticks are formatted with d3.format to abbreviate values like billions. Tooltips appear on hover via SVG title elements.

JJayanth Reddy Sripathi
95% match