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sequence explorer - highlight path

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EEE2dev
Last edited Dec 18, 2017
Created on Jan 22, 2017

This example demonstrates how to highlight a specific user navigation path within a sequence explorer visualization, a Sankey-style diagram showing event flows. The visualization displays sequences of events (home, product, search, account, other) as ribbons and nodes, with the highlighted path traced in orange across the chart. The implementation uses the sequence-explorer library built on D3 v4, loading data from a CSV file and customizing the event order and axis label via method chaining. CSS rules style the highlighted path by targeting specific SVG path and rect elements, applying an orange fill and stroke with partial opacity to emphasize the selected flow.

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Sequence explorer

This example shows how to highlight a path with css styling.

More examples

Link to sequence explorer on github.


The data is obtained (and mapped to the required format) from the sunburst visualization example from Kerry Rodden.

It is easy to see the pros and cons of these two visualizations for this specific data set.

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Sequence explorer - single chart (with JSON file)

This example demonstrates a single-chart sequence explorer visualization built with D3 v4, loaded from an external JSON file. The chart visualizes sequential event flows, with events ordered along the y-axis using the `eventOrder` method (home, product, search, account, other) and the x-axis labeled as "visit" via the `sequenceName` setting. The JSON data defines a directed graph of transitions between events, with values representing the volume of each step. The visualization is instantiated by calling `sequenceExplorer.chart("sequence1.json")` and rendered into a div in the body. This approach highlights the sequence explorer's ability to depict multi-step event pathways, similar to a sunburst but in a linear, flow-based layout, making it easy to compare pros and cons against alternative visualization methods for the same dataset. The data is derived from Kerry Rodden's sunburst example, and the chart is configured to reorder event categories on the y-axis and customize tooltip labels. The single chart version keeps all event sequences in one view, useful for tracking navigation flows or funnel analysis.This example demonstrates how to create a **single-chart sequence explorer** using D3 v4 and data loaded from an external JSON file. The chart visualizes sequential categorical data—here, sequences of website events such as "home", "product", "search", and "account"—as a Sankey-style flow diagram. Each row represents a step in the sequence, and the width of the links corresponds to the number of visits, making it easy to identify common paths and drop-off points. The code shows how to initialize the chart with a JSON file, customize the event order on the y-axis, and rename the x-axis for tooltips. The data is derived from Kerry Rodden’s sunburst example, allowing for a direct comparison between the two visualization approaches for the same dataset.

EEE2dev
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