Skip to main content
SimilarExport ZIP
100%

Fork of Jaynica Nunna

✓ Published1🌍 Public
Nnunnajaynica@gmail.com
Last edited Apr 11, 2024
Created on Apr 11, 2024
Forked from Jaynica Nunna

A horizontal bar chart displays the 2000 population estimates for ten countries from a CSV file, with the United States likely appearing as a leading bar due to its large population. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis, `scaleLinear` for the continuous x-axis, and SVG `rect` marks. Data is loaded asynchronously via `d3.csv`, while axes and tooltips are rendered using custom components that leverage D3’s `format` for tick labels.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Jaynica Nunna

A horizontal bar chart displays the populations of ten countries for the year 2000, with the data loaded from a CSV file on GitHub. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering bars as SVG rectangles. Population values are formatted using `format('.2s')` to display in billions, and each bar includes a tooltip via a native SVG `<title>` element. The chart includes styled axis ticks and labels, with the x-axis labeled "POPULATION-2020".

Nnunnajaynica@gmail.com
92% match
Loading thumbnail…

Jaynica Nunna

A horizontal bar chart displays the populations of ten countries for the year 2000, with the data loaded from a CSV file on GitHub. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering bars as SVG rectangles. Population values are formatted using `format('.2s')` to display in billions, and each bar includes a tooltip via a native SVG `<title>` element. The chart includes styled axis ticks and labels, with the x-axis labeled "POPULATION-2020".

Nnunnajaynica@gmail.com
92% match
Loading thumbnail…

Jaynica nunna

This example presents a horizontal bar chart titled “POPULATION-2010,” visualizing the 2010 population data for 20 countries. The chart uses a Categorical color scheme with green bars and blue axis lines, with country names on the y-axis and population totals on the x-axis formatted using D3’s `format` function (e.g., “B” for billions). Built with React and D3 v5, it loads data from a CSV file via the `d3.csv` parser, then renders an SVG using `scaleBand` for categorical y-positions and `scaleLinear` for the numeric x-axis. Tooltips display each bar’s exact value, and the chart is part of a VizHub example demonstrating local ES6 module imports and D3 integration.

Nnunnajaynica@gmail.com
87% match
Loading thumbnail…

Fork of Fork of Hello VizHub

This example displays a horizontal bar chart of population data for ten countries in the year 2000, using a React-based SVG visualization. The chart employs D3 v5’s `scaleBand` for categorical y-axis positioning and `scaleLinear` for the numeric x-axis population values. Data is loaded via `d3.csv` from a GitHub-hosted CSV file, then formatted with `d3.format` to abbreviate large numbers. Gray rectangular marks are rendered per country, with interactive tooltips showing the exact population value.

Aabjalshaik02@gmail.com
84% match
Loading thumbnail…

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

This example displays a horizontal bar chart of the ten most populous countries, with each bar’s length proportional to its 2020 population estimate. The visualization uses React to render SVG elements, with d3.scaleBand and d3.scaleLinear handling the axes and positioning. Data is loaded from a United Nations World Population Prospects 2019 CSV file, and formatted with d3.format to show values in billions.

HHaileabGH
83% match
Loading thumbnail…

Fork of Fork of A6_Q1.1

A horizontal bar chart displays the population of ten countries for the year 2000, with countries listed on the y-axis and population values on the x-axis. Population data is loaded via `d3.csv` from a GitHub-hosted CSV file and rendered as SVG. The chart uses `scaleBand` and `scaleLinear` for positioning, with tick marks colored blue and bars in light green. Hovering over a bar shows its population via a native SVG `title` element. Built with React and D3 v5, the code defines reusable axis and mark components to structure the visualization.

VVarshith Peddineni
83% match
Loading thumbnail…

Fork of Fork of Fork of Task 8 Q1-2

A horizontal bar chart displays the populations of 20 countries in 2010, sorted by country name with a tooltip on each bar showing the formatted population value. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `format` to abbreviate large numbers. Data is loaded via D3’s `csv` from a GitHub-hosted CSV file, and the SVG renders axes with custom `AxisBottom` and `AxisLeft` components.

Vvchittimadha@gmail.com
83% match
Loading thumbnail…

Fork of Fork of Fork of Fork of Rendering Data With REACT

This example displays a horizontal bar chart comparing the 2020 populations of the top ten countries from a UN population dataset loaded via `d3.csv`. The visualization uses React state to store the parsed data, and renders SVG elements dynamically. D3’s `scaleBand` and `scaleLinear` position bars and axis ticks, while React’s `useEffect`, `useState`, and `useCallback` manage data fetching and component updates. Axes and gridlines are generated using `xScale.ticks()`, with text labels for both countries and population values.

Nnkarinti
83% match