POV入力数の年度別補正係数の実行結果

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SQLの説明

“2002年3月23日 POVをとりあえず実装。”との事なので、ユーザーのPOV機能に対する完熟度を考慮し、2005年を基準とした補正係数を考えてみる。
あるゲームに対して、POV入力者比率を算出・・・
POV入力者数÷プレイ人数×100=POV入力者比率[%]
サンプル数が不足したデータを除外する為、プレイ人数100以上のゲームに限定し、POV入力者比率の平均(avg)値を算出
2005年のPOV入力者比率を基準とする、補正係数(coefficient)を算出。

検索結果

yearavgcoefficient
198911.72413793103448281.8185984444009001
199010.97170656766099091.9433165544333668
199111.43617021276595741.8643915407555018
199215.06024096385542171.4157475338205076
199311.18400576604910971.9064277548967131
199416.46179648809031521.2952109460681556
199514.86737914193221211.4341128183907932
199613.70920732954912861.5552685498718856
199714.78984113678671241.4416313742740630
199813.32072576437643811.6006259253786978
199914.21500928468510771.4999286019666651
200015.52556047419381651.3733158966312965
200115.71689881923350111.3565970773591026
200218.83328287318555371.1321180246104632
200320.15490917000619931.0578811754235427
200420.78169502024693361.0259749737712949
200521.32149900332089801.00000000000000000000
200623.74515396122629550.89793054356004562268
200724.49681912675561760.87037826801086145481
200823.03611783200301540.92556823848591030430
200922.01719434044197960.96840218029764113858
201021.04596008319697001.01309224758740835154
201119.81703964378094431.0759174622740430
201218.47602726955954751.1540088511586822
201317.22878265710955451.2375511043156877
201415.74475830507344881.3541966532728832
201515.04049154860515621.4176065279793490
201614.01638775537862841.5211835870578721
201713.04134822638394191.6349152429029837
201813.23778673922793841.6106543656681103
201913.09554814009736961.6281486483209068
202012.53508659951585931.7009454888125300
202112.00626765852422861.7758640411604540
202211.95101561395315121.7840742320198662
202310.54522086592760802.0219110888622774
202414.04967124218116981.5175799231022290
202510.80744898868395261.9728521527740530

実行したSQL

      select to_char(gl.sellday,'yyyy') as year
     , avg(gl.the_number_of_uid_which_input_pov * 100.0 / gl.count2)
     , (select avg(the_number_of_uid_which_input_pov * 100.0 / count2)
          from gamelist
         where the_number_of_uid_which_input_pov>=10
           and count2>=100
           and to_char(sellday,'yyyy') = '2005'
       )
       / avg(gl.the_number_of_uid_which_input_pov * 100.0 / gl.count2) as coefficient
  from gamelist as gl
 where gl.the_number_of_uid_which_input_pov>=10
   and gl.count2>=100
 group by to_char(gl.sellday,'yyyy')
 order by year    

表紙
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