Skip to main content
SimilarExport ZIP
100%

Covid Project Viz 2

✓ Published0🌍 Public
SSushmaNamidi@my.unt.edu
Last edited Apr 25, 2024
Created on Apr 25, 2024

This example visualizes active, recovered, and total COVID-19 cases across fifteen countries using overlapping horizontal bars. The visualization renders as an SVG via React, with red, blue, and green rectangles representing total vaccinations, total cases, and total tests respectively. It loads data from a remote CSV file using `d3.csv` and scales the bars with `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis, while drawing gridlines and tick labels manually. The code leverages D3 v5 alongside React state and effects for data fetching.

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…

data visualization project

This example presents a bar chart of COVID-19 total cases by country, using data loaded from a remote CSV file. The chart is rendered as an SVG element using D3 v7, with a rotated x-axis to accommodate country labels and a linear y-axis for case counts. The code demonstrates D3’s scaleBand and scaleLinear for axis scaling, and uses the `join` operator to efficiently create bar rectangles, with a steelblue fill for the bars.

Bbudalavijay2001@gmail.com
85% match
Loading thumbnail…

ICE-6 Covid Dataset

This example visualizes the number of active, recovered, and total COVID-19 cases for the top 15 countries in a dataset, using a horizontal grouped bar chart rendered with SVG. Red bars show active cases, blue bars show total cases, and green bars show recovered cases, with a legend implied by the title. The visualization uses React with state management and the D3.js library for data loading via `d3.csv`, scaling with `scaleBand` and `scaleLinear`, and axes through `ticks()`. Data is fetched from a GitHub Gist containing worldwide COVID-19 statistics.

Nnehabaddam
85% match
Loading thumbnail…

Untitled

This visualization displays COVID-19 total cases by location using a bar chart rendered with SVG. It loads data from a CSV file via d3.csv, then uses d3.scaleBand for the categorical x-axis and d3.scaleLinear for the y-axis, with a fixed domain of 0 to 13. The bars are drawn as rectangles with a teal fill, and axis labels are rotated for readability. The chart is built with d3.v4 within a React framework, though the core logic is plain D3 JavaScript.

Bbhargav83
84% match
Loading thumbnail…

COVID-19

This interactive COVID-19 dashboard displays country-level statistics using horizontal bars. Users select an attribute from a dropdown, and React state updates the chart to show that metric. Driven by a CSV of global pandemic data, the visualization renders bars with SVG rectangles via React components, using D3 scales (`scaleBand`, `scaleLinear`) and axes (`AxisBottom`, `AxisLeft`) to position the data. Tooltips appear on hover through SVG `<title>` elements.

WW9183907
84% match
Loading thumbnail…

Covid

This example presents a world map visualization of COVID-19 case data, coloring each country based on its total reported cases. The map is rendered using React and D3, with a Natural Earth projection via `d3.geoPath` and `d3.geoNaturalEarth1`. Data is loaded from a remote CSV file using the Fetch API and parsed with `d3.csvParse`. A sequential color scale using `d3.scaleSequential` and `d3.interpolateReds` maps case counts to fill colors, while country boundaries are drawn as SVG paths with white strokes. The visualization dynamically updates when new data is fetched.

Sshaiksajidali
84% match
Loading thumbnail…

<iframe width="560" height="292" src="https://vizhub.com/blikitha/f111e8fa345c43fa9a6e6d45227a5024?mode=embed" title="Untitled" frameborder="0" ></iframe>

This example presents a horizontal bar chart that displays the top 20 countries by reported COVID-19 cases, based on data from a CSV file loaded via `d3.csv`. The visualization uses React to manage component state and render an SVG, with D3 v5 scales (`scaleBand` and `scaleLinear`) to map country names and case counts to pixel positions. Each rectangle’s width encodes the case count, and the chart includes a blue gridline for the x-axis ticks.

Bblikitha
84% match
Loading thumbnail…

Data Visualization - ICE-6 - Bar chart

This bar chart displays COVID-19 active case counts for different countries, with values shown in thousands. The visualization uses React hooks to load and manage CSV data from a GitHub gist, while D3 v5 APIs handle the rendering. It employs `scaleBand` for the categorical y-axis representing countries and `scaleLinear` for the numeric x-axis showing case counts. The SVG output includes red rectangular bars and custom axes, with gridlines and tick labels formatted using D3’s axis utilities.

Mmanojgne
83% match
Loading thumbnail…

Untitled

This visualization displays a horizontal bar chart of the top 20 countries by COVID-19 case counts, using data from a CSV file loaded via d3.csv. The chart maps country names on a d3.scaleBand y-axis and case numbers on a d3.scaleLinear x-axis, with blue bars and gridlines rendered as SVG elements. The React component fetches the data asynchronously, parses numeric values, and uses d3’s max function to set the x-domain, while y-axis labels and ticks are manually positioned using SVG text and line elements.

Bblikitha
83% match