Skip to main content
SimilarExport ZIP
100%

Activity 6_Task1.2

✓ Published0🌍 Public
DDeekshitha Annreddy
Last edited Oct 24, 2024
Created on Oct 22, 2024
Forked from Activity 6_Task1.2

This example displays a horizontal bar chart of population figures for 20 countries in 2010, with countries on the y-axis and population on the x-axis. It loads CSV data from a GitHub repository using d3.csv and renders the chart as SVG elements within a React component. The visualization uses d3.scaleBand and d3.scaleLinear to map data to coordinates, along with custom axis components and bars colored light green, with tooltips showing population values in billions.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Task1.1

This example shows a horizontal bar chart of population data for 20 countries in 2010, using a linear scale for population values and a band scale for country names. The visualization renders as SVG through React components, with D3 v5 handling data loading via `d3.csv` and scale generation through `scaleLinear` and `scaleBand`. The code defines reusable React components for the bottom and left axes plus marks, and formats population values using D3's `format` function. Data comes from a GitHub-hosted CSV file, with each bar including a native SVG tooltip showing the formatted population value.

DDeekshitha Annreddy
96% match
Loading thumbnail…

Activity 6_Task1.2

This example displays a horizontal bar chart comparing the 2010 population of twenty countries, sourced from a remote CSV file. It uses React to render an SVG visualization with D3’s scale functions, including `scaleBand` for the categorical country axis and `scaleLinear` for the continuous population axis. The chart includes custom axis components and tooltips that format population values in abbreviated SI units.

DDeekshitha Annreddy
96% match
Loading thumbnail…

activity 6_Task 1

This example shows a horizontal bar chart of population data for 20 countries in 2010, with countries listed along the y-axis and population values along the x-axis. The visualization uses React components to render SVG elements, with D3’s scaleBand and scaleLinear mapping data to positions and widths. The code imports csv from d3 to load the dataset from a GitHub gist, while AxisBottom and AxisLeft components generate tick marks and labels. Bars are drawn as SVG rectangles with a light green fill, and hovering reveals a tooltip with formatted population values.

Kkeerthanachinthalapally@gmail.com
94% match
Loading thumbnail…

Activity 6_Task 1

This example displays a horizontal bar chart of 2020 population figures for 30 countries, with each bar’s length representing population size and country names on the y-axis. The visualization uses React with D3 v5’s `scaleBand`, `scaleLinear`, and `csv` loader to fetch and process data from a GitHub-hosted CSV. SVG rendering is driven by reusable React components for axes and marks, with axis labels and green bars styled via CSS. Tooltips appear on hover, showing the population value in a compact format (e.g., “1.2B”).

SSiva Kishore Reddy
94% match
Loading thumbnail…

activity6_Task 1

This example presents a horizontal bar chart showing the 2010 population for 20 countries, sourced from a GitHub-hosted CSV file. It uses React with D3 v5 for rendering SVG elements, including `scaleBand`, `scaleLinear`, and `csv` from imported D3 modules. The chart displays population values with SI-formatted tick labels and tooltips, with axes and bars rendered through modular components. The visualization demonstrates ES6 module imports and D3 integration within a React framework.

Kkrishnavisheshkatta@my.unt.edu
94% match
Loading thumbnail…

Activity 6_Task 1

This example renders a horizontal bar chart of population estimates for ten countries in the year 2000, with each bar colored light green and labeled with its country name on the y-axis. The chart loads CSV data via d3.csv, uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, and formats tick labels with d3.format to convert values into billions. React components compose SVG elements for the axes and bars, while d3.v5 provides the data loading and scaling utilities.

Lleelakrishnadivi7@gmail.com
94% match
Loading thumbnail…

Activity6_Task 1

This example shows a horizontal bar chart of population data for 30 countries in 2020, with country names on the y-axis and population values on the x-axis. The chart renders as an SVG using React components for the axes and marks, with D3 v5 scales (`scaleBand`, `scaleLinear`) and formatting (`format`) to display tick labels in billions. Data is loaded asynchronously from a CSV file via `csv` and `useEffect`, and each bar includes a tooltip showing the formatted population value.

Ssaisnehapalle@my.unt.edu
94% match
Loading thumbnail…

Activity 6_Task 1.2

This example renders a horizontal bar chart of 2010 population data for 20 countries, sourced from a CSV file hosted as a GitHub gist. The visualization is built with React and rendered as SVG, using D3 v5 functions such as `scaleBand`, `scaleLinear`, `max`, and `format` for data handling and scaling. Interactive tooltips display the population value for each bar, and the axes are drawn with custom components, with blue tick lines and light green marks.

Hhimavinaytummala@my.unt.edu
94% match