Example of Small Multiples with Mouseover Tooltip (fixed)

TP 2 simple line + mouseover

A simple line chart shows monthly values as a single black line with circular gray markers. Hovering a marker turns it red, displays the numeric value in a text label, and draws a dashed vertical guide line to the baseline. The visualization is built with D3 v4, using `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.line` for the path, and `d3.json` to load the data from `dataset.json`. Mouseover and mouseout event handlers dynamically add and remove the tooltip elements and guide line.

HHectorDt

78% match

Favorite tooltip (simple version) v5

This line chart displays a time series of daily closing values from a CSV file, with a tooltip that follows the mouse to reveal the nearest data point. Built with D3 v5 as an SVG visualization, it uses `d3.line`, `d3.scaleTime`, and `d3.scaleLinear` to render axes and the path. A transparent overlay rectangle captures mouse movements, and a `d3.bisector` finds the closest date to position a highlighted circle, which appears on mouseover and hides on mouseout.

77% match

Favorite tooltip (complex version) v5

This example shows a line chart of stock closing prices over time, with an interactive tooltip that follows the mouse cursor. As the user moves over the chart, a dashed crosshair and a highlighted data point appear, along with text displaying the exact date and closing value. Built with D3.js v5, the visualization uses SVG rendering and relies on `d3.line`, `d3.scaleTime`, `d3.bisector`, and `d3.mouse` to compute and display the nearest data point from the provided CSV data.

76% match

Small multiples

This example shows monthly sales trends across five years as a grid of small multiples, with each chart displaying an area, line, and point series plus an average annotation. It is built with d3fc components, including `seriesSvgArea`, `seriesSvgLine`, `seriesSvgPoint`, `seriesSvgMulti`, and `chartSvgCartesian`, all rendered via a data-join on nested data from `d3.nest`. The charts are laid out using flexbox, and CSS media queries reduce chart height on narrower screens, while y-axes are hidden for repeated charts via opacity styling.

CColinEberhardt

76% match

Multi-links in tooltips using v5

This example shows a line chart of stock closing prices over time, where each data point is a circle with a tooltip. Hovering over a circle reveals a hyperlink to a related d3.js example, along with the formatted date and price. The visualization uses d3.v5’s `d3.csv`, `d3.timeParse`, `d3.scaleTime`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft`. Circles are drawn with SVG, and tooltips are HTML divs that appear on `mouseover`, linking out to external URLs stored in the CSV data.

simple line chart from dataset

This example shows a simple line chart of monthly values from a small dataset, with interactive tooltips that reveal each point’s value and draw a dashed vertical guide down to the x-axis. The chart uses d3.scaleTime and d3.scaleLinear for axes, d3.line to generate the path, and d3.json to load the data. Circles are added per data point, and mouseover and mouseout events toggle the tooltip and dash-line visibility. The labels and values are rendered as SVG text elements.

HHakkahi

Simple tooltips in v6

This example shows a line chart of stock closing prices over time, with circular data points that reveal a tooltip on mouseover. The tooltip displays the formatted date and closing value. Built with d3.v6, the visualization uses `d3.timeParse` to parse dates, a `d3.line` for the path, and a floating `div` for the tooltip, animated via `transition().duration()`. Data comes from a CSV file, rendered as SVG with axes generated by `d3.axisBottom` and `d3.axisLeft`.

Favorite tooltip (simple version) v7

This example shows a simple line chart of stock closing prices over time, with a circular marker that tracks the mouse position along the x-axis to highlight the nearest data point. The tooltip itself is minimal—a blue circle that appears on mouseover and moves with the cursor, using a bisector to find the closest date. The visualization is built with D3 v7, using `d3.line`, `d3.scaleTime`, and `d3.scaleLinear` to render an SVG path and axes. Data comes from a CSV file parsed with `d3.csv`.