BuddyPress stores profile data in bp_xprofile_data as one row per field per user, activity in bp_activity with moderation flags, groups in bp_groups and messages in bp_messages_messages. Each of those tables has its own admin surface and its own filters, which is the right structure for the platform and the wrong shape for understanding the community as a whole. Reporting at the cohort level requires either custom SQL across the bp_* tables or repeated per-row clicks through component-by-component screens.

SleekView Charts reads the bp_* tables directly, pivots bp_xprofile_data into named columns using bp_xprofile_fields for labels and renders the result as chart cards. A Number card counts active members in a chosen window. A Pie shows activity components (status updates, group posts, friendships). A Bar ranks top posters by activity count. An Area trends posts per day from bp_activity.date_recorded. Profile fields can be charted too, so a country pie or a job-title bar shows the community profile composition without an export.

Filters on the underlying community audit table (date ranges, components, member type, group) carry across to the chart view, so a last-30-days or one-group slice narrows every card on the dashboard in one click.

BuddyPress is structurally a multi-table community platform: profiles in bp_xprofile_data, activity in bp_activity, groups in bp_groups, messages in bp_messages_messages. That schema is right for the platform and unreadable at the cohort level until you pivot xprofile and join the rest. SleekView Charts does exactly that: it pivots bp_xprofile_data into named columns, joins the other bp_* tables and renders the result as Number, Pie, Bar and Area cards.

A KPI counts active members, a pie shows component mix, a bar ranks top posters and an Area trends activity. Same bp_* rows, charted instead of split across screens, which is the difference between managing a community by component and running it as a single product.