Yes. The dataset reads the existing Promotion Events Calendar CPT and meta without rewriting any of the data. No migrations, no shadow tables, and no changes to how the public calendar block renders. The dashboard is purely additive on top of the data the plugin already writes.

Yes. The plugin's category taxonomy is exposed as a column on the events dataset, so a pie or bar card grouped on that taxonomy returns the count per category. Term names resolve automatically so the chart labels read as the human-friendly category name.

By default the card uses the event start date meta and counts each event once on its start day. For programmes that need to count attendance across the full duration, the dataset can be configured to expand multi-day events across each calendar day they cover.

Yes. Every card has a filter scope that can target the location meta value. A weekly density card filtered to one location returns only that venue's upcoming load, useful when checking whether a single venue is being over-booked across the season.

Yes. Charts is an admin-side dashboard and reads the same events CPT the public calendar block reads. No template changes are required, and the public calendar continues to render normally regardless of which cards the dashboard contains.

Yes. Any meta key written against the events CPT can be added to the dataset as a column. Cards then group by that custom meta value, so promotional codes, partner names, or campaign tags become chartable dimensions alongside the built-in category and location.

Yes. Each card has an underlying dataset slice that exports to CSV with the columns the chart used to aggregate. Useful when an editor needs the actual list of events behind a category pie slice for the next newsletter or social schedule.

Analytics plugins typically track page views, not the underlying events. SleekView Charts reads the events CPT itself and aggregates planning data, so the dashboard answers programming questions rather than traffic questions, which page-view analytics cannot do alone.