SleekView Charts for WPDataTables: custom table dashboards
Read directly from each WPDataTables-managed table, the wp_wpdatatables registry, and the linked source tables it points at, then chart row counts, status mix, top categories, and growth over time across every dataset the plugin manages.
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The plugin stores the table, charts finally summarise it
WPDataTables is excellent at importing CSVs, Google Sheets, and custom database tables into WordPress and rendering them as sortable, filterable tables on the frontend. The plugin registers each dataset in wp_wpdatatables and either points at an existing table or creates one prefixed with wp_wpdatatables_. Where it stops is at summarisation.
SleekView Charts reads the same tables WPDataTables registers. A Number card pins total rows for a dataset. A Pie shows the spread across a chosen status or category column. A Bar ranks values in any column by frequency or sum. An Area card plots a date column over time so entry cadence in a dataset becomes a visible line, not a guess about whether the spreadsheet is still being maintained or has gone stale.
The plugin keeps owning the import pipeline, the frontend rendering, and the cell-level editing UI. SleekView Charts owns the dashboard layer on top, reading wp_wpdatatables for the registry, the linked underlying table for each dataset, and the column metadata that drives the frontend table, so every card reflects the live row count and column distribution rather than a one-off export.
Workflow
How SleekView Charts reads WPDataTables data
Pick a registered table
wp_wpdatatables. SleekView reads the linked underlying table schema and offers every column, including numeric and date columns, as a group-by or aggregation candidate without writing any custom SQL.
Configure the chart cards
Filter once, apply everywhere
Save and share by capability
Sample dashboard
Charts you can build from WPDataTables datasets
Total rows in the dataset
Count
Rows by status column
Count
group by status
Top values by sum
Sum(amount)
group by category
Rows over time
Count
group by created_at
Comparison
Default WPDataTables frontend vs SleekView Charts
Default WPDataTables table
- Each dataset renders as a row-by-row table with no totals or summaries above it
- Built-in chart wizard exists but is one-chart-at-a-time, not a dashboard of cards
- No cross-dataset view, so multiple registered tables cannot be summarised together
- Trend over time requires a manual chart configured separately for every dataset
- Pivoting one column by another column needs custom SQL on the underlying table
SleekView Charts
- Number cards for total rows per dataset pulled live from the linked table
- Pie or Donut cards split by any status or category column on the source table
- Bar cards ranking top values by count or by sum of a numeric column
- Area cards plotting any date column so dataset cadence is a visible curve
- Same filters as the SleekView table apply to every chart card on the dashboard
Features
What SleekView Charts gives you for WPDataTables
Real registered tables drive real charts
Charts read directly from the table linked to each wp_wpdatatables registry row, so every card reflects the live data the plugin already exposes on the frontend instead of a stale CSV pasted into another tool.
Filters flow across cards
Set a column filter, a date range, or a value list once and every chart card on the dashboard respects it. The same configuration that drives the editing table drives the reporting view without any extra setup.
Every dataset gets a dashboard
Inventories, member rosters, event logs, or any other dataset WPDataTables manages can each get a tailored set of cards, so editors and clients see the right summary for the dataset they actually care about.
Audience
Who builds WPDataTables chart dashboards
Operations teams
Track an inventory dataset by status and category. A pie of statuses and a bar of categories give a working snapshot of stock without scrolling the frontend table.
Membership managers
Pivot a roster by region, tier, and join date. The chart cards turn a long table into a profile of the membership instead of a wall of rows nobody reads to the end.
Agency leads
Hand clients a dashboard for every dataset WPDataTables registered, so the rows nobody could summarise before finally have an executive view that explains the data.
The bigger picture
Why WPDataTables datasets deserve chart views
WPDataTables does the right thing for its job, which is bringing structured data into WordPress and rendering it as a usable table on the frontend. The plugin deliberately focuses on imports, the rendering layer, and a per-chart wizard, which works well for a single chart on a public page and falls short of a dashboard. Editors end up running the chart wizard four times to build a summary view, leads cannot pivot one column by another without writing SQL, and clients have no cross-dataset view of the data they paid to import.
SleekView Charts reads the same tables WPDataTables registers, pivots any column into chart sources, and lets a small set of cards summarise each dataset. The plugin keeps owning import and frontend rendering, the chart layer owns dashboard summarisation, and every dataset finally has the executive view it deserved.
Questions
Common questions about SleekView Charts for WPDataTables
Directly from the wp_wpdatatables registry and the linked underlying table for each dataset, whether that is a plugin-managed table prefixed with wp_wpdatatables_ or an external table the plugin only points at. Cards run live queries against the same rows the frontend renders.
Yes. The free version registers tables the same way the paid version does, so any dataset visible in the plugin's table list is available as a SleekView source. Every column is a chart group-by or aggregation candidate regardless of which tier of WPDataTables is installed on the site.
 Yes. If WPDataTables points at a non-prefixed external table that lives in the same WordPress database, SleekView reads it through the same registry. For external databases on a different server, configure SleekView with the matching connection and the chart cards work the same way.
 Yes. SleekView only queries the columns and rows the active cards need, so a multi-million-row dataset produces a lean grouped count rather than a full scan. Heavy aggregations are pushed to the database engine and cached at the view level for repeat loads of the dashboard.
 On reload SleekView re-reads the schema from the linked table and surfaces any new columns as additional group-by candidates. Cards that referenced columns that no longer exist show a clear error so the dashboard can be reconfigured rather than silently producing misleading numbers.
 Yes. View-level filters for column value, value list, or date range apply to every chart card on the dashboard. One saved configuration drives both the editing table and the reporting view, so investigation and summary stay aligned across each WPDataTables-managed dataset.
 Charts are read-only summaries by design. To act on an insight, switch to the SleekView table filtered to the same slice (for example, rows in a category) and edit cells inline or open them in the WPDataTables editor from there. Cell editing stays inside the existing plugin workflow.
 No. The plugin's table importer, the frontend rendering, and its single-chart wizard stay exactly where they are. SleekView Charts adds a dashboard-level reporting surface on top of the same tables, so imports stay a one-screen task and the dashboard owns the cross-card summarisation.
 Pricing
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