Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Feb 20, 2021

Created on Feb 20, 2021

A horizontal bar chart displays COVID-19 case counts for local electoral areas in County LOUTH, Ireland, from a CSV file. Each bar’s length encodes the C19_P14_T case total, with area names on the y-axis using d3.scaleBand and values scaled by d3.scaleLinear. The React-based code loads data with d3.csv, filters it by county, and renders SVG rectangles inside a translated group. The chart uses D3 v5 for data joining and margin-based layout.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Make a bar chat d3js

This example shows a simple bar chart of COVID-19 total cases by geographic region, using data from a local CSV file. The bar heights represent case counts, with regions listed along the y-axis. It uses d3.scaleLinear for the x-axis domain, d3.scaleBand for the categorical y-axis, and renders SVG rectangles via d3.selectAll and data joins. The code imports specific functions from D3 v7 and the CSV loading is handled with d3.csv.

GGodspower Wodi

82% match

Loading thumbnail…

Making bar chart

A horizontal bar chart displays COVID-19 case counts per country, with bars ordered by the data’s CSV order. The visualization uses D3 v5’s `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `axisLeft`/`axisBottom` for gridlines. Data is loaded via `d3.csv` and rendered as SVG rectangles with a steelblue fill, while a clickable “Hello” button triggers a browser alert.

Llori99-data

81% match

Loading thumbnail…

Untitled

This example presents a bar chart of total COVID-19 cases by location, using data from a remote CSV file. The chart uses an SVG rendering with a band scale for the categorical x-axis and a linear scale for the numeric y-axis, both configured with d3.scaleBand and d3.scaleLinear. Bars are drawn as SVG rect elements with a fixed fill color, and the x-axis labels are rotated for readability. The code loads data via d3.csv and applies margins to position the visualization.

Fferneyhoughedward@gmail.com

79% match

Loading thumbnail…

Customized bar chart

This example presents a customized bar chart of COVID-19 case counts by U.S. jurisdiction, using data from August 2020. It displays the top ten locations ordered along the vertical axis, with horizontal bar lengths encoding total cases. The visualization is built with React and D3 v5, leveraging `scaleBand` for categorical positioning, `scaleLinear` for quantitative scaling, and `csv` for data loading. SVG rendering produces the bars, axes, and tick labels, with D3’s `format` function abbreviating large numbers (e.g., converting billions to “B”).

Rrsulli4

78% 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

78% match

Loading thumbnail…

Bar chart

This example shows a bar chart of COVID-19 cases per one million people by country, fetching live data from the disease.sh API. The visualization uses React for component structure and D3.js utilities, specifically `d3.max` and `d3.scaleLinear`, to map data values to pixel heights within an SVG rendered via React. The `useEffect` hook triggers the chart-building function, while the fetched JSON populates the state that drives the bars.

NNikki Masroor

77% match

Loading thumbnail…

HTML Starter

This example demonstrates a bar chart visualization of COVID-19 data, showing confirmed cases, recoveries, and deaths across multiple countries on a specific date. The chart uses the D3.js library, specifically `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis, with SVG rendering for the bars. The data is loaded from a CSV file containing country-level pandemic statistics. The visualization includes axes with labels and interactive mouseover/mouseout events, though the actual data displayed focuses on the initial case counts from January 2020.

SSarahKiyani

77% match

Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays COVID-19 case counts for the top 20 countries, ranked by their reported infections on January 28, 2020. Using React with D3 v5, the visualization renders SVG rectangles scaled by population data from a CSV file, with D3’s `scaleBand` and `scaleLinear` mapping country names and case values. Axis ticks and labels are generated manually via `.map()` and React elements, while the data is loaded asynchronously with `d3.csv`. The chart shows a horizontal bar layout with green rectangles and red gridlines, highlighting comparative case volumes across countries at that early pandemic date.

SSamanvitha1

77% match