{"queries":[{"id":"attendance","compiledQueryString":"with cte_avg as(\nselect distinct fair_day_num,\navg(daily_attendance) over(partition by fair_day_num) as average_day_attendance\nfrom v_fair_attendance\nwhere 1=1\nand fair_year < 2026\n)\nselect fair_date, a.fair_day_num as fair_day, \nday_name, \ndisplay_day_name,\ndaily_attendance, fair_year, min_temp, max_temp, fair_year_avg_min_temp, fair_year_avg_max_temp, precip_inches,weather_tier,\nrank() over(partition by fair_year order by daily_attendance desc) as year_rank,\ncase when is_all_time_record = true and fair_year >= 2000 then '🎉' else '' end as record_icon, \nSUM(daily_attendance) OVER(\n PARTITION BY fair_year \n ORDER BY a.fair_day_num\n ) AS cumulative_attendance,\nfa.average_day_attendance,\nsum(fa.average_day_attendance) over(\n partition by fair_year \n order by a.fair_day_num\n ) as cumulative_avg_attendance,\ndaily_attendance / fa.average_day_attendance - 1 as avg_comp\nfrom v_fair_attendance as a\ninner join cte_avg as fa on fa.fair_day_num = a.fair_day_num\nwhere 1=1\nand fair_year in(2025, 2026)\norder by fair_date","inputQueryString":"with cte_avg as(\nselect distinct fair_day_num,\navg(daily_attendance) over(partition by fair_day_num) as average_day_attendance\nfrom v_fair_attendance\nwhere 1=1\nand fair_year < 2026\n)\nselect fair_date, a.fair_day_num as fair_day, \nday_name, \ndisplay_day_name,\ndaily_attendance, fair_year, min_temp, max_temp, fair_year_avg_min_temp, fair_year_avg_max_temp, precip_inches,weather_tier,\nrank() over(partition by fair_year order by daily_attendance desc) as year_rank,\ncase when is_all_time_record = true and fair_year >= 2000 then '🎉' else '' end as record_icon, \nSUM(daily_attendance) OVER(\n PARTITION BY fair_year \n ORDER BY a.fair_day_num\n ) AS cumulative_attendance,\nfa.average_day_attendance,\nsum(fa.average_day_attendance) over(\n partition by fair_year \n order by a.fair_day_num\n ) as cumulative_avg_attendance,\ndaily_attendance / fa.average_day_attendance - 1 as avg_comp\nfrom v_fair_attendance as a\ninner join cte_avg as fa on fa.fair_day_num = a.fair_day_num\nwhere 1=1\nand fair_year in(2025, 2026)\norder by fair_date","compiled":false,"inline":true},{"id":"attendance_comp_chart","compiledQueryString":"select fair_day, daily_attendance, average_day_attendance, fair_year\nfrom (with cte_avg as(\nselect distinct fair_day_num,\navg(daily_attendance) over(partition by fair_day_num) as average_day_attendance\nfrom v_fair_attendance\nwhere 1=1\nand fair_year < 2026\n)\nselect fair_date, a.fair_day_num as fair_day, \nday_name, \ndisplay_day_name,\ndaily_attendance, fair_year, min_temp, max_temp, fair_year_avg_min_temp, fair_year_avg_max_temp, precip_inches,weather_tier,\nrank() over(partition by fair_year order by daily_attendance desc) as year_rank,\ncase when is_all_time_record = true and fair_year >= 2000 then '🎉' else '' end as record_icon, \nSUM(daily_attendance) OVER(\n PARTITION BY fair_year \n ORDER BY a.fair_day_num\n ) AS cumulative_attendance,\nfa.average_day_attendance,\nsum(fa.average_day_attendance) over(\n partition by fair_year \n order by a.fair_day_num\n ) as cumulative_avg_attendance,\ndaily_attendance / fa.average_day_attendance - 1 as avg_comp\nfrom v_fair_attendance as a\ninner join cte_avg as fa on fa.fair_day_num = a.fair_day_num\nwhere 1=1\nand fair_year in(2025, 2026)\norder by fair_date)\nwhere 1=1\norder by fair_year, fair_day","inputQueryString":"select fair_day, daily_attendance, average_day_attendance, fair_year\nfrom ${attendance}\nwhere 1=1\norder by fair_year, fair_day","compiled":true,"inline":true},{"id":"attendance_this_year","compiledQueryString":"with cte_py as\n(\n select fair_day,\n cumulative_attendance\n from (with cte_avg as(\nselect distinct fair_day_num,\navg(daily_attendance) over(partition by fair_day_num) as average_day_attendance\nfrom v_fair_attendance\nwhere 1=1\nand fair_year < 2026\n)\nselect fair_date, a.fair_day_num as fair_day, \nday_name, \ndisplay_day_name,\ndaily_attendance, fair_year, min_temp, max_temp, fair_year_avg_min_temp, fair_year_avg_max_temp, precip_inches,weather_tier,\nrank() over(partition by fair_year order by daily_attendance desc) as year_rank,\ncase when is_all_time_record = true and fair_year >= 2000 then '🎉' else '' end as record_icon, \nSUM(daily_attendance) OVER(\n PARTITION BY fair_year \n ORDER BY a.fair_day_num\n ) AS cumulative_attendance,\nfa.average_day_attendance,\nsum(fa.average_day_attendance) over(\n partition by fair_year \n order by a.fair_day_num\n ) as cumulative_avg_attendance,\ndaily_attendance / fa.average_day_attendance - 1 as avg_comp\nfrom v_fair_attendance as a\ninner join cte_avg as fa on fa.fair_day_num = a.fair_day_num\nwhere 1=1\nand fair_year in(2025, 2026)\norder by fair_date)\n where 1=1\n and fair_year = 2025 \n)\nselect *, \nsum(daily_attendance) over(partition by fair_year) as total_attendance, \nmax(cy.fair_day) over(partition by fair_year) as last_day,\npy.cumulative_attendance as cy_cumulative_attendance\nfrom (with cte_avg as(\nselect distinct fair_day_num,\navg(daily_attendance) over(partition by fair_day_num) as average_day_attendance\nfrom v_fair_attendance\nwhere 1=1\nand fair_year < 2026\n)\nselect fair_date, a.fair_day_num as fair_day, \nday_name, \ndisplay_day_name,\ndaily_attendance, fair_year, min_temp, max_temp, fair_year_avg_min_temp, fair_year_avg_max_temp, precip_inches,weather_tier,\nrank() over(partition by fair_year order by daily_attendance desc) as year_rank,\ncase when is_all_time_record = true and fair_year >= 2000 then '🎉' else '' end as record_icon, \nSUM(daily_attendance) OVER(\n PARTITION BY fair_year \n ORDER BY a.fair_day_num\n ) AS cumulative_attendance,\nfa.average_day_attendance,\nsum(fa.average_day_attendance) over(\n partition by fair_year \n order by a.fair_day_num\n ) as cumulative_avg_attendance,\ndaily_attendance / fa.average_day_attendance - 1 as avg_comp\nfrom v_fair_attendance as a\ninner join cte_avg as fa on fa.fair_day_num = a.fair_day_num\nwhere 1=1\nand fair_year in(2025, 2026)\norder by fair_date) as cy\ninner join cte_py as py on py.fair_day = cy.fair_day\nwhere 1=1\nand fair_year = 2026\norder by fair_date","inputQueryString":"with cte_py as\n(\n select fair_day,\n cumulative_attendance\n from ${attendance}\n where 1=1\n and fair_year = 2025 \n)\nselect *, \nsum(daily_attendance) over(partition by fair_year) as total_attendance, \nmax(cy.fair_day) over(partition by fair_year) as last_day,\npy.cumulative_attendance as cy_cumulative_attendance\nfrom ${attendance} as cy\ninner join cte_py as py on py.fair_day = cy.fair_day\nwhere 1=1\nand fair_year = 2026\norder by fair_date","compiled":true,"inline":true},{"id":"p1","compiledQueryString":"SELECT \n fair_day,\n SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END) AS actual_2025,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) AS actual_2026,\n SUM(CASE WHEN fair_year = 2025 THEN average_day_attendance END) AS average_day_attendance,\n -- Cumulative totals by day\n SUM(SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END)) OVER (\n ORDER BY fair_day \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2025,\n SUM(SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END)) OVER (\n ORDER BY fair_day \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2026,\n SUM(CASE WHEN fair_year = 2025 THEN average_day_attendance END) AS average_day_attendance,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) / \n NULLIF(SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END), 0) - 1 AS pct_change\nFROM (select fair_day, daily_attendance, average_day_attendance, fair_year\nfrom (with cte_avg as(\nselect distinct fair_day_num,\navg(daily_attendance) over(partition by fair_day_num) as average_day_attendance\nfrom v_fair_attendance\nwhere 1=1\nand fair_year < 2026\n)\nselect fair_date, a.fair_day_num as fair_day, \nday_name, \ndisplay_day_name,\ndaily_attendance, fair_year, min_temp, max_temp, fair_year_avg_min_temp, fair_year_avg_max_temp, precip_inches,weather_tier,\nrank() over(partition by fair_year order by daily_attendance desc) as year_rank,\ncase when is_all_time_record = true and fair_year >= 2000 then '🎉' else '' end as record_icon, \nSUM(daily_attendance) OVER(\n PARTITION BY fair_year \n ORDER BY a.fair_day_num\n ) AS cumulative_attendance,\nfa.average_day_attendance,\nsum(fa.average_day_attendance) over(\n partition by fair_year \n order by a.fair_day_num\n ) as cumulative_avg_attendance,\ndaily_attendance / fa.average_day_attendance - 1 as avg_comp\nfrom v_fair_attendance as a\ninner join cte_avg as fa on fa.fair_day_num = a.fair_day_num\nwhere 1=1\nand fair_year in(2025, 2026)\norder by fair_date)\nwhere 1=1\norder by fair_year, fair_day)\nGROUP BY fair_day\nORDER BY fair_day;","inputQueryString":"SELECT \n fair_day,\n SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END) AS actual_2025,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) AS actual_2026,\n SUM(CASE WHEN fair_year = 2025 THEN average_day_attendance END) AS average_day_attendance,\n -- Cumulative totals by day\n SUM(SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END)) OVER (\n ORDER BY fair_day \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2025,\n SUM(SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END)) OVER (\n ORDER BY fair_day \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2026,\n SUM(CASE WHEN fair_year = 2025 THEN average_day_attendance END) AS average_day_attendance,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) / \n NULLIF(SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END), 0) - 1 AS pct_change\nFROM ${attendance_comp_chart}\nGROUP BY fair_day\nORDER BY fair_day;","compiled":true,"inline":true},{"id":"summary_stats","compiledQueryString":"WITH daily_data AS (\n -- Group daily attendance by fair_day and year, plus historical average\n SELECT \n fair_day_num,\n SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END) AS daily_2025,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) AS daily_2026,\n -- Historical daily average prior to 2026\n AVG(CASE WHEN fair_year < 2026 THEN daily_attendance END) AS avg_daily_attendance\n FROM v_fair_attendance\n WHERE fair_year <= 2026\n GROUP BY fair_day_num\n),\nmax_2026_day AS (\n -- Find the latest day completed in 2026\n SELECT MAX(fair_day_num) AS current_day_2026\n FROM daily_data\n WHERE daily_2026 IS NOT NULL\n)\nSELECT \n m.current_day_2026 AS latest_completed_day,\n \n -- Current YTD total for 2026\n SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) AS ytd_2026,\n \n -- 2025 total up to the same day\n SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2025 END) AS same_period_2025,\n\n -- NEW: Cumulative average attendance up to current day 2026\n SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.avg_daily_attendance END) AS same_period_avg,\n\n -- NEW: Full year cumulative average attendance\n SUM(d.avg_daily_attendance) AS full_year_avg,\n \n -- Point-in-Time YoY % Change\n (SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) / \n NULLIF(SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2025 END), 0) - 1) AS pit_pct_change,\n\n -- NEW: Point-in-Time % Change vs Historical Average\n (SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) / \n NULLIF(SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.avg_daily_attendance END), 0) - 1) AS pit_vs_avg_pct_change,\n \n -- Full Year 2025 total for context\n SUM(d.daily_2025) AS full_year_2025,\n \n -- % of full prior year achieved so far\n (SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) / \n NULLIF(SUM(d.daily_2025), 0)) * 100 AS pct_of_prior_full_year,\n CASE \n WHEN pit_pct_change > 0 THEN PRINTF('+%.1f%%', pit_pct_change * 100)\n ELSE PRINTF('%.1f%%', pit_pct_change * 100)\n END AS pit_pct_change_fmt,\n CASE \n WHEN pit_vs_avg_pct_change > 0 THEN PRINTF('+%.1f%%', pit_vs_avg_pct_change * 100)\n ELSE PRINTF('%.1f%%', pit_vs_avg_pct_change * 100)\n END AS pit_vs_avg_pct_change_fmt\n\nFROM daily_data d\nCROSS JOIN max_2026_day m\nGROUP BY ALL","inputQueryString":"WITH daily_data AS (\n -- Group daily attendance by fair_day and year, plus historical average\n SELECT \n fair_day_num,\n SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END) AS daily_2025,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) AS daily_2026,\n -- Historical daily average prior to 2026\n AVG(CASE WHEN fair_year < 2026 THEN daily_attendance END) AS avg_daily_attendance\n FROM v_fair_attendance\n WHERE fair_year <= 2026\n GROUP BY fair_day_num\n),\nmax_2026_day AS (\n -- Find the latest day completed in 2026\n SELECT MAX(fair_day_num) AS current_day_2026\n FROM daily_data\n WHERE daily_2026 IS NOT NULL\n)\nSELECT \n m.current_day_2026 AS latest_completed_day,\n \n -- Current YTD total for 2026\n SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) AS ytd_2026,\n \n -- 2025 total up to the same day\n SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2025 END) AS same_period_2025,\n\n -- NEW: Cumulative average attendance up to current day 2026\n SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.avg_daily_attendance END) AS same_period_avg,\n\n -- NEW: Full year cumulative average attendance\n SUM(d.avg_daily_attendance) AS full_year_avg,\n \n -- Point-in-Time YoY % Change\n (SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) / \n NULLIF(SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2025 END), 0) - 1) AS pit_pct_change,\n\n -- NEW: Point-in-Time % Change vs Historical Average\n (SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) / \n NULLIF(SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.avg_daily_attendance END), 0) - 1) AS pit_vs_avg_pct_change,\n \n -- Full Year 2025 total for context\n SUM(d.daily_2025) AS full_year_2025,\n \n -- % of full prior year achieved so far\n (SUM(CASE WHEN d.fair_day_num <= m.current_day_2026 THEN d.daily_2026 END) / \n NULLIF(SUM(d.daily_2025), 0)) * 100 AS pct_of_prior_full_year,\n CASE \n WHEN pit_pct_change > 0 THEN PRINTF('+%.1f%%', pit_pct_change * 100)\n ELSE PRINTF('%.1f%%', pit_pct_change * 100)\n END AS pit_pct_change_fmt,\n CASE \n WHEN pit_vs_avg_pct_change > 0 THEN PRINTF('+%.1f%%', pit_vs_avg_pct_change * 100)\n ELSE PRINTF('%.1f%%', pit_vs_avg_pct_change * 100)\n END AS pit_vs_avg_pct_change_fmt\n\nFROM daily_data d\nCROSS JOIN max_2026_day m\nGROUP BY ALL","compiled":false,"inline":true},{"id":"yoy_pace","compiledQueryString":"WITH daily_data AS (\n -- Group daily attendance by fair_day_num and year\n SELECT \n fair_day_num,\n display_day_name,\n SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END) AS daily_2025,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) AS daily_2026\n FROM v_fair_attendance\n WHERE fair_year IN (2025, 2026)\n GROUP BY ALL\n),\nmax_2026_day AS (\n -- Find the latest day completed in 2026\n SELECT MAX(fair_day_num) AS current_day_2026\n FROM daily_data\n WHERE daily_2026 IS NOT NULL\n)\nSELECT \n d.fair_day_num::int as fair_day_num,\n d.display_day_name,\n d.daily_2025,\n d.daily_2026,\n \n -- Daily Point-in-Time % Change\n (d.daily_2026 / NULLIF(d.daily_2025, 0) - 1) AS daily_pct_change_yo_y,\n\n -- Cumulative Running Totals by Year\n SUM(d.daily_2025) OVER (\n ORDER BY d.fair_day_num \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2025,\n \n SUM(d.daily_2026) OVER (\n ORDER BY d.fair_day_num \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2026,\n\n -- Cumulative Point-in-Time % Change\n (\n SUM(d.daily_2026) OVER (ORDER BY d.fair_day_num ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) / \n NULLIF(SUM(d.daily_2025) OVER (ORDER BY d.fair_day_num ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), 0) - 1\n ) AS cumulative_pct_change_yo_y\n\nFROM daily_data d\nCROSS JOIN max_2026_day AS mfd\nWHERE d.fair_day_num <= mfd.current_day_2026\nORDER BY d.fair_day_num;","inputQueryString":"WITH daily_data AS (\n -- Group daily attendance by fair_day_num and year\n SELECT \n fair_day_num,\n display_day_name,\n SUM(CASE WHEN fair_year = 2025 THEN daily_attendance END) AS daily_2025,\n SUM(CASE WHEN fair_year = 2026 THEN daily_attendance END) AS daily_2026\n FROM v_fair_attendance\n WHERE fair_year IN (2025, 2026)\n GROUP BY ALL\n),\nmax_2026_day AS (\n -- Find the latest day completed in 2026\n SELECT MAX(fair_day_num) AS current_day_2026\n FROM daily_data\n WHERE daily_2026 IS NOT NULL\n)\nSELECT \n d.fair_day_num::int as fair_day_num,\n d.display_day_name,\n d.daily_2025,\n d.daily_2026,\n \n -- Daily Point-in-Time % Change\n (d.daily_2026 / NULLIF(d.daily_2025, 0) - 1) AS daily_pct_change_yo_y,\n\n -- Cumulative Running Totals by Year\n SUM(d.daily_2025) OVER (\n ORDER BY d.fair_day_num \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2025,\n \n SUM(d.daily_2026) OVER (\n ORDER BY d.fair_day_num \n ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW\n ) AS cumulative_2026,\n\n -- Cumulative Point-in-Time % Change\n (\n SUM(d.daily_2026) OVER (ORDER BY d.fair_day_num ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) / \n NULLIF(SUM(d.daily_2025) OVER (ORDER BY d.fair_day_num ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), 0) - 1\n ) AS cumulative_pct_change_yo_y\n\nFROM daily_data d\nCROSS JOIN max_2026_day AS mfd\nWHERE d.fair_day_num <= mfd.current_day_2026\nORDER BY d.fair_day_num;","compiled":false,"inline":true}]}

Stats on a Stick 2026

Fair Attendance by Day

Comparisons

Year over Year - Day 11