SleekView Charts for WP-Polls
WP-Polls writes polls, answers, and per-vote logs into wp_pollsq, wp_pollsa, and wp_pollsip. SleekView Charts groups those rows into Number, Area, Pie, and Bar cards so editors and community managers see engagement and audit anomalies at a glance.
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From three pollsX tables to one dashboard
WP-Polls has three custom tables: wp_pollsq holds poll questions, wp_pollsa holds answers with vote totals, and wp_pollsip logs every vote with IP, user agent, timestamp, and (where logged in) user ID. The data underneath supports rich engagement and audit dashboards. The default WP-Polls admin shows a list of polls and not much else.
SleekView Charts aggregates over all three tables. Number cards hold total votes this month and active poll count. Area or Line cards show daily votes from wp_pollsip. Pies break out poll status (open, closed, expiring soon). Bar cards rank polls by total votes for the editorial dashboard.
Moderators get a vote-volume trend with IP clustering as a side card for audit; editors get a top-poll leaderboard; community managers get an active-versus-closed share. Every card refreshes against the live tables, so the trend stays in lockstep with the polls grid.
Workflow
Build a WP-Polls dashboard in four steps
Pick a base table
wp_pollsq for poll-level KPIs, wp_pollsa for answer-level breakdowns, or wp_pollsip for vote-log analytics.
Group by date or poll
vote_date from wp_pollsip for trends, on pollq_id for per-poll leaderboards, or on poll status for the open-versus-closed share.
Aggregate counts and totals
polla_votes for per-poll totals, Average votes-per-day for engagement comparisons.
Save dashboards per role
Sample dashboard
Charts you can build from WP-Polls data
Total votes (30 days)
wp_pollsip with vote_date in the last 30 days. The headline engagement number for the editorial dashboard.
Count
Votes per day
wp_pollsip. Spots after-campaign spikes and any clustering that might indicate coordinated voting.
Count
group by vote_date
Poll status mix
Count
group by pollq_active
Top polls by votes
polla_votes sum from wp_pollsa. The leaderboard for editorial recap and content planning.
Sum(polla_votes)
group by pollq_id
Comparison
Default WP-Polls reporting vs SleekView Charts
Default WP-Polls admin
- Poll list shows per-poll totals only, no aggregated charts
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Vote-log table (
wp_pollsip) is buried behind a separate screen - Time-series trends like daily votes aren't built in
- Top polls leaderboard requires manual sorting
- Poll status (open versus closed) isn't a charted distribution
SleekView Charts
- Count and Sum votes grouped by date, poll, or status
-
Daily-vote trends from
wp_pollsip.vote_date -
Per-poll leaderboards using
polla_votes - Pie of open versus closed polls
- Logged-in versus anonymous voter split
Features
What SleekView Charts gives you for WP-Polls
Charts over the three pollsX tables
Each card runs against wp_pollsq, wp_pollsa, or wp_pollsip directly. The trend chart and the polls grid share a source so what editors see in the dashboard matches what they see in the table view.
Vote-log audit cards
Aggregate over IP address or user agent to spot clustering on a contested poll. Bar cards grouped on IP make coordinated voting visible faster than scanning per-row logs.
Top-poll leaderboards
Bar cards summing polla_votes per poll rank engagement winners for editorial recap. The dashboard becomes the weekly content-planning input.
Audience
Who builds WP-Polls charts dashboards with SleekView
Editors
Weekly top-poll leaderboard plus a daily-vote trend. The editorial recap and the content-planning input come from the same dashboard.
Moderators
Daily vote volume next to a per-IP cluster bar. Spots coordinated voting on contests faster than scanning wp_pollsip row by row.
Community managers
Open-versus-closed pie, expiring-soon Number card, and logged-in versus anonymous voter split. Manages the seasonal poll calendar in one view.
The bigger picture
Why poll moderation needs trend charts
WP-Polls is a workhorse on news, fan, and community sites, and its weakness has always been the same: the default admin treats polls as separate islands. Editors don't see the leaderboard, community managers don't see the calendar, moderators don't see the daily vote trend that flags a contest under attack. The data is all in three custom tables and answers every one of those questions, but the admin shows lists.
SleekView Charts turns the three tables into a configurable dashboard: top polls, daily votes, IP clustering, status mix. Editors plan the next poll, moderators audit the last poll, community managers see the overall rhythm. One source, three dashboards, all aligned because they aggregate over the same rows.
Questions
Common questions about SleekView Charts for WP-Polls
Yes. wp_pollsip is a first-class source. Cards can count votes per day, per IP, or per user agent, and group on logged-in versus anonymous voters by checking the user_id column.
Yes. Group a Bar card on the IP column from wp_pollsip and the chart shows vote counts per IP. Useful for spotting coordinated voting on contests, where a single IP submits dozens of votes in a short window.
Bar card grouped on pollq_id with Sum over polla_votes from wp_pollsa. The leaderboard is the same shape across single-answer and multi-answer polls.
Yes. wp_pollsip stores a user_id for logged-in voters and zero for anonymous. A Pie card grouped on a derived column (logged-in flag) splits the audience into those two cohorts immediately.
Yes. Multi-answer polls show a higher vote count than unique-voter count, and SleekView Charts can show both numbers side by side. Total votes versus unique voters becomes a visible engagement signal rather than buried in two screens.
Each card refreshes against the live wp_pollsq, wp_pollsa, and wp_pollsip tables. A vote cast moments ago appears on the next refresh.
Yes. Each card exports its aggregated dataset as CSV. Useful for editorial recaps, audit reports, or board updates without granting database access.
No. SleekView Charts runs entirely inside wp-admin and never touches the front-end. The public poll widgets render exactly as they did before, with no extra queries or assets.
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