Skip to main content
SimilarExport ZIP
100%

Activity6_Task1

✓ Published0🌍 Public
Aayeshamanzoor111798@gmail.com
Last edited Oct 23, 2024
Created on Oct 23, 2024
Forked from Hello VizHub

This bar chart displays the 2020 population estimates for 30 countries, sorted along a categorical y-axis. The visualization uses D3 v5 to load CSV data from a GitHub repository and React to manage the SVG rendering. The chart applies a linear scale for population counts, a band scale for country names, and a custom tick formatter that abbreviates large numbers (e.g., converting gigabytes to billions). Tooltips, provided via SVG `<title>` elements, show the formatted population values on hover.

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 7_Task1

This bar chart displays the 2020 population estimates for 30 countries, using a horizontal layout with country names on the y-axis and population values on the x-axis. The visualization is built with React, rendering SVG elements through D3 v5 scales and components. It uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and formats tick labels with D3’s `format` function. Data is loaded asynchronously via `d3.csv` from a GitHub repository, and each bar includes a tooltip showing the precise population value.

HHarshita Vairagade
95% match
Loading thumbnail…

Activity 6_Task 1

This bar chart visualizes the 2020 population estimates for 30 countries, sorted by country name on the y-axis and population on the x-axis. The visualization uses React with D3 v5, leveraging `scaleBand` and `scaleLinear` for positioning, while `AxisBottom` and `AxisLeft` render tick marks and labels. Data is loaded via `d3.csv` from a GitHub gist, with population values converted from the raw CSV. SVG rectangles represent each country, with hover tooltips showing formatted population values in billions.

Mmeenam1106@gmail.com
95% match
Loading thumbnail…

Activity6 task 1

This bar chart displays the 2020 population estimates for 30 countries, ranked by country name. The visualization uses D3 version 5 within a React component, rendering data from a CSV file hosted on GitHub. Population values are formatted using D3’s `format` function, converting large numbers to abbreviated labels like “B” for billions. The chart employs `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with SVG rectangles representing each bar. Native SVG `<title>` elements provide tooltips showing precise population values on hover.

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

Activity 6_Task 1

This horizontal bar chart displays the 2020 population estimates for 30 countries, with bars sorted by country name along the y-axis and population values on the x-axis. The visualization uses React components to render SVG elements, with D3’s scaleBand and scaleLinear handling the spatial mapping and d3.csv loading population data from a GitHub-hosted CSV file. Axis components generate tick marks and labels, while a formatter converts large numbers into abbreviated values like “1.2B” for readability.

Vvikramkotlo9@gmail.com
94% match
Loading thumbnail…

Activity6_Task1

This bar chart displays the 2020 population of 30 countries, with countries listed on the vertical axis and population values represented by horizontal bar lengths. The visualization is built using React with D3 v5 for data loading and scales, rendering to SVG. The code uses `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and `format` for abbreviating population labels (e.g., converting billions to "B"). Data comes from a remote CSV file via `d3.csv`, with population values multiplied by 1000 during parsing.

Ssaimanvith22@gmail.com
94% match
Loading thumbnail…

Activity6_Task1

This bar chart displays the 2020 population estimates for 30 countries, arranged vertically with bars extending horizontally from a shared origin. The visualization uses a React component with D3 scale functions (`scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis), rendering SVG rectangles via the custom `Marks` component. Data loads asynchronously from a CSV file using D3’s `csv` parser, with axis ticks formatted using `format('.2s')` to abbreviate large numbers. A tooltip appears on each bar through an SVG `<title>` element.

Vvankayalapatimounika2000@gmail.com
94% 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
94% match
Loading thumbnail…

Activity6_Task1

This bar chart displays the 2020 population of 30 countries, sourced from a CSV file, with countries on the y-axis and population on the x-axis. The visualization uses React components to render SVG marks, with d3.scaleBand and d3.scaleLinear for positioning, and d3.format for abbreviating tick labels (e.g., "B" for billions). The code leverages d3.csv for data loading and includes tooltips via SVG `<title>` elements.

SShashankkodishala@my.unt.edu
94% match