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
198911.52542372881355931.8379141539185564
199010.89062162745521261.9450441054433134
199111.31578947368421051.8719630168409735
199214.94252873563218391.4176140983809882
199311.20240116420082471.8909106262671852
199416.35659828126669571.2950577520361270
199514.56623235630331441.4542359947957798
199613.53663013702318351.5648458432176300
199714.70988421691187311.4400344073912932
199813.24408060416650611.5994118455026064
199914.03093427075451161.5097169577116212
200015.44542256393097721.3714574213438715
200115.63774814970201761.3545901365279930
200218.65541552279235171.1354740062056030
200319.97507008312803751.0604588275756413
200420.69684869075622271.0234765551799205
200521.18273940109522621.00000000000000000000
200623.58408915868570860.89817924527706014904
200724.31416192139167080.87120993392984646103
200822.78624673516384980.92962828180061426830
200921.67666778279566350.97721382333070314659
201020.88324188286353761.0143415241709886
201119.57544833317269871.0821074971344999
201218.23549283085978641.1616214377956288
201316.97927533174742221.2475643976093769
201415.36484792638297731.3786494667950698
201514.78935292050905531.4322965659789061
201613.73941570832428221.5417496530264578
201712.82627136254516901.6515118698449125
201812.91783765114976581.6398053585392315
201912.82067272345758001.6522330659246794
202012.32747530918037161.7183355772223910
202111.33078343121269411.8694858594458293
202211.43308532468302211.8527579213778420
20239.78686184239692662.1644056840907958
202412.89546309958888771.6426505382168509
202511.02747457816360351.9209057568847981

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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