GSC Coverage Visualiser
Use cases
Generates three interactive visualisations from GSC coverage data using Plotly: a treemap showing hierarchical folder structure with URL counts, a sunburst chart for radial path depth analysis, and a word cloud of the top 25 keywords from URL paths.
Uses NLTK for stopword removal and regex-based tokenisation to extract meaningful terms from URLs.
Platform
Jupyter Notebook (requires Python environment)
Input
GSC coverage Excel export
Output
Interactive treemap, sunburst chart, and word cloud
Features
- Plotly treemap of folder hierarchy with URL counts
- Sunburst chart showing path depth distribution
- Word cloud of top 25 URL path keywords (NLTK stopwords filtered)
- Adjustable folder_start depth for ccTLD handling
- Automatic fallback if folder depth settings fail
How to use
- 1 Export GSC coverage report as Excel (drilldown to specific issue)
- 2 Upload the Excel file to the notebook
- 3 Set folder_start depth (default 1, increase for ccTLDs)
- 4 Run cells to generate treemap, sunburst, and word cloud
Want me to run this for you?
I offer this as a managed service. You get the insights without touching the tool.
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