HTML Starter

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

HTML Starter

This example shows a pie chart of COVID-19 data loaded from the Our World in Data CSV file, with the total cases aggregated per location. It uses D3 v7’s `d3.csv` to fetch the data, `d3.pie` and `d3.arc` to generate the chart geometry, and SVG paths with mouseover tooltips for interactivity. The page also includes a large CSS-styled message, and while the chart logic references variables like `covid_data` and `data` that are not fully defined in the visible code, the rendering approach relies on standard D3 selections and transitions.

FFarhaan Qazi

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

Bar Chart

This bar chart visualizes the daily confirmed COVID-19 cases across eight countries from January to May 2020. The current configuration displays the US case count on the x-axis and dates on the y-axis, with each bar’s length representing the cumulative total. The code uses D3 v5 APIs including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data from a CSV file and render the SVG, with configurable axis labels and grid lines.

SSarahKiyani

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

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

Untitled

This visualization shows the progression of confirmed COVID-19 cases, deaths, and recoveries across multiple countries from January to March 2020. It uses a multi-line chart with time on the x-axis and case counts on the y-axis. The code loads data from three CSV files and uses d3.csv, d3.scaleLinear, d3.line, d3.axisLeft, d3.axisBottom, and d3.curveBasis to render the chart. A timer updates the displayed date range, animating the lines as new data points appear over time.

RRodrigo Vallejos

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