Skip to main content
SimilarExport ZIP
100%

Activity 6_Task1

✓ Published0🌍 Public
Ttejaswiteju9811@gmail.com
Last edited Oct 18, 2024
Created on Oct 18, 2024
Forked from Activity 6_Task1

This example presents a horizontal bar chart comparing the populations of various countries in 2020, sourced from a CSV file. Rendered as an SVG within React, it uses D3.js modules to manage data processing and scales: `scaleBand` positions the country names on the y-axis, while `scaleLinear` maps population values to the x-axis. Custom ES6 modules (`AxisBottom`, `AxisLeft`, `Marks`) draw the ticks, labels, and bars, with a "POPULATION-2020" footer label. The code imports D3 from UNPKG, demonstrating modular integration.

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…

Activity 6_Task1

A horizontal bar chart displays population data for various countries in 2020. The visualization uses D3’s `scaleBand` and `scaleLinear` to map country names and population values, with axes rendered as custom React components. The bar lengths encode population magnitude, and tick labels use D3’s `format` function to abbreviate large numbers (e.g., “1.2B”). The chart is rendered as SVG within a React application, drawing data loaded from an external CSV file.

Ttejaswiteju9811@gmail.com
94% match
Loading thumbnail…

activity 6_Task 1

This example shows a horizontal bar chart comparing country populations for 2020, with country names on the y-axis and population values on the x-axis. It loads CSV data dynamically and renders SVG bars using React components. The code builds scales with `d3.scaleBand` and `d3.scaleLinear`, formats tick labels with `d3.format`, and creates custom axis components like `AxisLeft` and `AxisBottom` that generate tick marks and text elements.

Ssairamisetti3829@gmail.com
94% match
Loading thumbnail…

activity 6_Task 1

This example shows a horizontal bar chart comparing the 2020 populations of 30 countries, with bars sorted by population. It renders as an SVG using React and D3 v5, loading data from a CSV file via `d3.csv`. The chart uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, with tooltips formatted using `d3.format`. Custom React components (`AxisBottom`, `AxisLeft`, `Marks`) generate the SVG elements.

NNagalakshmi Thota
93% 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
93% match
Loading thumbnail…

Activity 6_Task 1

This example presents a horizontal bar chart of 2020 population data by country, using D3 v5 within a React framework. The visualization encodes population values on a linear x-scale and country names on a categorical y-axis, with tick labels formatted to abbreviate billions. SVG rendering is used, and the chart is built with D3’s `scaleBand` and `scaleLinear` functions, alongside custom `AxisBottom`, `AxisLeft`, and `Marks` components. The code imports data via a custom `useData` hook and D3’s `csv` parser, with axis styling defined in the HTML file.

Aakitisaitejareddy@gmail.com
93% 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
93% match
Loading thumbnail…

Activity6_task1

This example displays a horizontal bar chart comparing the 2020 populations of 30 countries, using D3 v5 and React to render the visualization as an SVG. The code imports `scaleBand`, `scaleLinear`, `format`, and `csv` from D3 to process the remote CSV data and map each country to a proportional green bar. Custom `AxisBottom`, `AxisLeft`, and `Marks` components generate the axes and rectangles, with tooltips showing formatted population values. The chart includes blue tick lines and labels for the “POPULATION-2020” axis.

Yyadlapallisaisathvik@gmail.com
93% match
Loading thumbnail…

Activity6_Task 1

A horizontal bar chart displays 2020 population estimates for 30 countries, ranked by country name on the y-axis and population on the x-axis. The visualization uses SVG rendering within a React component, with D3 v5 scale functions (`scaleBand`, `scaleLinear`) for positioning, and custom `AxisBottom` and `AxisLeft` components for ticks. Data loads asynchronously from a CSV file via `d3.csv` and formats axis labels using `d3.format`. Each bar includes a native SVG `<title>` tooltip showing the formatted population value.

Aanisha.peddireddy@gmail.com
93% match