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ice 4

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This example visualizes COVID-19 confirmed cases in Uttarakhand over time as a line chart, with interactive tooltips on data points. It uses D3 v6’s `d3.csv` to load data from a remote GitHub repository, `d3.timeParse` and `d3.scaleTime` for date handling, and `d3.line` to generate the SVG path. The chart renders axes via `d3.axisBottom` and `d3.axisLeft`, adds a legend, and displays a tooltip on mouseover using D3 transitions. The line and points are styled with steelblue, and the SVG output includes animation-ready elements.

Fork of Responsive Bar Chart

This fork of a D3.js v6 bar chart visualizes the relationship between COVID-19 confirmed cases and agriculture yield in Uttarakhand over time. It uses a dual-axis line chart with red and blue paths, and includes a legend. The code loads CSV data from a GitHub repository, parses dates with d3.timeParse, and renders the visualization as an SVG. The chart relies on d3.scaleTime and d3.scaleLinear for axes, and d3.axisBottom, d3.axisLeft, and d3.axisRight for tick marks, with a responsive layout defined by margin and size variables.

Fork of Q2

This scatterplot visualizes the relationship between crop yield and COVID-19 confirmed cases across multiple data points, with each blue dot representing a country or region. The visualization uses d3.csv to load data from a GitHub repository, d3.scaleLinear for both axes, and d3.axisBottom/axisLeft for tick marks. Circles are appended with D3’s selection API, and mouseover/mouseout events trigger a simple HTML tooltip showing the exact values. A static legend and axis labels clarify the quantitative comparison between agricultural output and pandemic impact.

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This heat map visualizes agricultural yield and confirmed COVID-19 cases across months, using a dual-row layout with a shared monthly x-axis. Each row encodes one variable—Yield above, Confirmed below—with color intensity mapped through `d3.scaleSequential` and `d3.interpolateInferno`. The code loads CSV data from GitHub via `d3.csv`, extracts months from dates, and renders SVG rectangles with `d3.axisBottom` and `d3.axisLeft` for axes. A mouseover tooltip displays row values, and a legend with `d3.scaleLinear` and `d3.axisBottom` clarifies the color scale.

Fork of Fork of Hello VizHub

This visualization shows COVID-19 confirmed cases over time as a line chart, with dates on the x-axis and case counts on the y-axis. It loads data from a CSV file hosted on GitHub and renders an SVG path using `d3.line` and `d3.csv`. The code uses `d3.scaleTime`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft` to construct the axes, with styling applied via the `stroke` attribute. The example demonstrates D3 v6 loading via UNPKG.