library(stargazer)
##
## Please cite as:
## Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.
## R package version 5.2.2. https://CRAN.R-project.org/package=stargazer
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(ggplot2)
library(gapminder)
library(readr)
orche<-read.csv("orchestra.csv")
nhk<-read.csv("nhk-tmso.csv")
topfil<-read.csv("topfil-central.csv")
nagoya<-read.csv("nagoya-hyogo.csv")
a <- lm(average.ticketsales~hireconcerts.percentage,data=orche)
ggplot(orche, aes(hireconcerts.percentage,average.ticketsales)) +
geom_point() +
stat_smooth(method=lm,se=FALSE) +
labs(x="依頼公演が占める割合", y="平均演奏収入") +
theme_classic(base_family="HiraKakuPro-W3")
stargazer(a,type="html")
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Dependent variable:
|
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average.ticketsales
|
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|
hireconcerts.percentage
|
-2,065.906**
|
|
|
(796.821)
|
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|
|
Constant
|
5,312.673***
|
|
|
(496.139)
|
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|
Observations
|
200
|
|
R2
|
0.033
|
|
Adjusted R2
|
0.028
|
|
Residual Std. Error
|
2,112.450 (df = 198)
|
|
F Statistic
|
6.722** (df = 1; 198)
|
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|
Note:
|
p<0.1; p<0.05; p<0.01
|
b<-lm(average.ticketsales~hireconcerts.percentage,data=topfil)
ggplot(topfil, aes(hireconcerts.percentage,average.ticketsales)) +
geom_point() +
stat_smooth(method=lm,se=FALSE) +
labs(x="依頼公演が占める割合", y="平均演奏収入") +
theme_classic(base_family="HiraKakuPro-W3")
stargazer(b,type="html")
|
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|
Dependent variable:
|
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|
average.ticketsales
|
|
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|
hireconcerts.percentage
|
-5,182.405***
|
|
|
(1,057.061)
|
|
|
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|
Constant
|
7,781.434***
|
|
|
(751.733)
|
|
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|
|
|
|
Observations
|
88
|
|
R2
|
0.218
|
|
Adjusted R2
|
0.209
|
|
Residual Std. Error
|
1,391.539 (df = 86)
|
|
F Statistic
|
24.036*** (df = 1; 86)
|
|
|
|
Note:
|
p<0.1; p<0.05; p<0.01
|
c<-lm(average.ticketsales~subscription.percentage,data=orche)
ggplot(orche, aes(subscription.percentage,average.ticketsales)) +
geom_point() +
stat_smooth(method=lm,se=FALSE) +
labs(x="定期公演が占める割合", y="平均演奏収入") +
theme_classic(base_family="HiraKakuPro-W3")
stargazer(c,type="html")
|
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|
|
Dependent variable:
|
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|
average.ticketsales
|
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|
subscription.percentage
|
12,870.400***
|
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|
(1,024.815)
|
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|
Constant
|
2,011.932***
|
|
|
(200.289)
|
|
|
|
|
|
|
Observations
|
200
|
|
R2
|
0.443
|
|
Adjusted R2
|
0.441
|
|
Residual Std. Error
|
1,602.556 (df = 198)
|
|
F Statistic
|
157.723*** (df = 1; 198)
|
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|
|
Note:
|
p<0.1; p<0.05; p<0.01
|
d<-lm(average.ticketsales~subscription.percentage,data=orche)
ggplot(orche, aes(subscription.percentage,average.ticketsales)) +
geom_point() +
stat_smooth(method=lm,se=FALSE) +
labs(x="定期公演が占める割合", y="平均演奏収入") +
theme_classic(base_family="HiraKakuPro-W3")
stargazer(d,type="html")
|
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|
|
Dependent variable:
|
|
|
|
|
|
average.ticketsales
|
|
|
|
subscription.percentage
|
12,870.400***
|
|
|
(1,024.815)
|
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|
|
Constant
|
2,011.932***
|
|
|
(200.289)
|
|
|
|
|
|
|
Observations
|
200
|
|
R2
|
0.443
|
|
Adjusted R2
|
0.441
|
|
Residual Std. Error
|
1,602.556 (df = 198)
|
|
F Statistic
|
157.723*** (df = 1; 198)
|
|
|
|
Note:
|
p<0.1; p<0.05; p<0.01
|
model1 <- lm(average.ticketsales~performances+subscription+hireconcerts+subscribers+attendance+revenue+ticketsales+privatesupport+agency+local+foundations+expenditure+average.attendance+average.ticketcost+subscription.percentage+ticketsales.percentage+privatesupport.percentage+profit+hireconcerts.percentage,data=orche)
model2 <- lm(average.ticketsales~performances+subscription+hireconcerts+subscribers+attendance+revenue+ticketsales+privatesupport+agency+local+foundations+expenditure+average.attendance+average.ticketcost+subscription.percentage+ticketsales.percentage+privatesupport.percentage+profit+hireconcerts.percentage,data=nhk)
model3 <- lm(average.ticketsales~performances+subscription+hireconcerts+subscribers+attendance+revenue+ticketsales+privatesupport+agency+local+foundations+expenditure+average.attendance+average.ticketcost+subscription.percentage+ticketsales.percentage+privatesupport.percentage+profit+hireconcerts.percentage,data=topfil)
model4 <- lm(average.ticketsales~performances+subscription+hireconcerts+subscribers+attendance+revenue+ticketsales+privatesupport+agency+local+foundations+expenditure+average.attendance+average.ticketcost+subscription.percentage+ticketsales.percentage+privatesupport.percentage+profit+hireconcerts.percentage,data=nagoya)
stargazer(model1,model2,model3,model4,type="html")
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Dependent variable:
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average.ticketsales
|
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|
(1)
|
(2)
|
(3)
|
(4)
|
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|
performances
|
-2.471
|
-57.801**
|
-16.857
|
-2.752
|
|
|
(2.700)
|
(18.680)
|
(11.832)
|
(2.424)
|
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subscription
|
-29.905**
|
-59.988***
|
-29.924
|
-43.940***
|
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|
(11.714)
|
(12.393)
|
(28.286)
|
(11.278)
|
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|
hireconcerts
|
-7.731*
|
69.020**
|
11.600
|
-16.949***
|
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|
(4.117)
|
(20.022)
|
(12.289)
|
(3.746)
|
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|
subscribers
|
-0.016
|
0.028
|
-0.006
|
-0.016
|
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|
(0.020)
|
(0.035)
|
(0.040)
|
(0.016)
|
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|
attendance
|
-0.011***
|
-0.008
|
-0.012***
|
-0.006***
|
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|
(0.002)
|
(0.006)
|
(0.003)
|
(0.002)
|
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revenue
|
-0.0001
|
-0.00002
|
0.002*
|
0.0004
|
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|
(0.0004)
|
(0.002)
|
(0.001)
|
(0.0004)
|
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|
ticketsales
|
0.007***
|
0.006
|
0.004**
|
0.007***
|
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|
(0.0004)
|
(0.005)
|
(0.002)
|
(0.001)
|
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|
privatesupport
|
-0.001
|
0.001
|
-0.005***
|
0.0001
|
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|
(0.0004)
|
(0.001)
|
(0.002)
|
(0.002)
|
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agency
|
-0.0002
|
0.002
|
0.001
|
-0.001
|
|
|
(0.001)
|
(0.002)
|
(0.002)
|
(0.001)
|
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|
|
|
|
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|
local
|
0.0001
|
-0.003
|
0.0001
|
-0.001**
|
|
|
(0.0003)
|
(0.002)
|
(0.001)
|
(0.0003)
|
|
|
|
|
|
|
|
foundations
|
0.001***
|
-0.001
|
0.013***
|
0.0002
|
|
|
(0.0003)
|
(0.001)
|
(0.005)
|
(0.002)
|
|
|
|
|
|
|
|
expenditure
|
0.0003
|
0.0002
|
0.001
|
0.0001
|
|
|
(0.0003)
|
(0.0002)
|
(0.001)
|
(0.0003)
|
|
|
|
|
|
|
|
average.attendance
|
1.247***
|
1.857**
|
0.980***
|
0.744***
|
|
|
(0.196)
|
(0.715)
|
(0.310)
|
(0.256)
|
|
|
|
|
|
|
|
average.ticketcost
|
14.089*
|
210.671*
|
0.197
|
28.097
|
|
|
(8.127)
|
(84.952)
|
(10.180)
|
(18.069)
|
|
|
|
|
|
|
|
subscription.percentage
|
4,293.914***
|
6,797.471***
|
6,945.292*
|
5,488.879***
|
|
|
(1,360.361)
|
(1,240.833)
|
(3,612.921)
|
(1,348.710)
|
|
|
|
|
|
|
|
ticketsales.percentage
|
-188.010
|
-1,058.463
|
2,073.736*
|
594.216
|
|
|
(251.602)
|
(8,208.656)
|
(1,145.572)
|
(542.414)
|
|
|
|
|
|
|
|
privatesupport.percentage
|
2,377.898***
|
-7,063.855*
|
5,099.255***
|
-216.085
|
|
|
(449.186)
|
(2,998.924)
|
(1,272.910)
|
(1,790.001)
|
|
|
|
|
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|
|
profit
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
hireconcerts.percentage
|
1,283.764**
|
-5,821.488**
|
-95.450
|
1,956.639***
|
|
|
(550.456)
|
(2,224.074)
|
(1,589.736)
|
(464.787)
|
|
|
|
|
|
|
|
Constant
|
368.765
|
7,462.307
|
-661.459
|
170.076
|
|
|
(393.633)
|
(5,023.790)
|
(1,376.721)
|
(436.640)
|
|
|
|
|
|
|
|
|
|
Observations
|
200
|
24
|
88
|
88
|
|
R2
|
0.992
|
1.000
|
0.984
|
0.994
|
|
Adjusted R2
|
0.991
|
1.000
|
0.980
|
0.993
|
|
Residual Std. Error
|
202.768 (df = 181)
|
45.205 (df = 5)
|
219.594 (df = 69)
|
76.854 (df = 69)
|
|
F Statistic
|
1,224.376*** (df = 18; 181)
|
6,442.865*** (df = 18; 5)
|
241.643*** (df = 18; 69)
|
668.719*** (df = 18; 69)
|
|
|
|
Note:
|
p<0.1; p<0.05; p<0.01
|
orche
## id t performances subscription hireconcerts subscribers
## 1 nhk 1 116 54 38 10064
## 2 nhk 2 106 54 38 9760
## 3 nhk 3 112 54 36 9319
## 4 nhk 4 113 54 37 9222
## 5 nhk 5 110 54 36 9344
## 6 nhk 6 107 54 34 9586
## 7 nhk 7 115 52 31 9396
## 8 nhk 8 111 48 37 9223
## 9 yomiuri 1 86 10 25 4644
## 10 yomiuri 2 103 11 39 5445
## 11 yomiuri 3 102 52 33 5280
## 12 yomiuri 4 100 60 28 6144
## 13 yomiuri 5 112 58 44 7470
## 14 yomiuri 6 116 65 44 8693
## 15 yomiuri 7 105 55 43 8276
## 16 yomiuri 8 111 55 47 8067
## 17 tmso 1 142 16 93 4475
## 18 tmso 2 155 18 104 4154
## 19 tmso 3 145 28 107 4286
## 20 tmso 4 140 28 96 4735
## 21 tmso 5 130 28 91 5464
## 22 tmso 6 137 28 90 4711
## 23 tmso 7 120 28 79 4717
## 24 tmso 8 127 29 84 4554
## 25 topfil 1 318 24 282 3519
## 26 topfil 2 335 22 294 3351
## 27 topfil 3 331 24 291 3700
## 28 topfil 4 316 24 273 4026
## 29 topfil 5 326 24 289 4245
## 30 topfil 6 309 24 271 3847
## 31 topfil 7 343 22 300 5321
## 32 topfil 8 345 22 306 4795
## 33 japanphil 1 139 30 56 3576
## 34 japanphil 2 151 30 73 3846
## 35 japanphil 3 165 30 68 4567
## 36 japanphil 4 161 30 70 5322
## 37 japanphil 5 157 30 67 5141
## 38 japanphil 6 159 30 63 4791
## 39 japanphil 7 156 30 57 3589
## 40 japanphil 8 146 30 53 4397
## 41 tokyo 1 160 11 108 3360
## 42 tokyo 2 152 11 105 2377
## 43 tokyo 3 156 10 113 2415
## 44 tokyo 4 172 10 128 2607
## 45 tokyo 5 167 10 120 3281
## 46 tokyo 6 152 10 108 2944
## 47 tokyo 7 156 21 108 4498
## 48 tokyo 8 163 21 117 4003
## 49 newjapan 1 135 24 77 4303
## 50 newjapan 2 122 24 69 4191
## 51 newjapan 3 138 21 83 4293
## 52 newjapan 4 133 28 80 4078
## 53 newjapan 5 130 25 77 3757
## 54 newjapan 6 138 29 79 3428
## 55 newjapan 7 149 34 88 3114
## 56 newjapan 8 143 39 87 3107
## 57 osakaphil 1 111 21 69 1222
## 58 osakaphil 2 114 21 68 1169
## 59 osakaphil 3 104 20 68 1870
## 60 osakaphil 4 87 20 53 1428
## 61 osakaphil 5 105 20 68 1835
## 62 osakaphil 6 84 20 49 1958
## 63 osakaphil 7 107 20 72 1700
## 64 osakaphil 8 100 20 65 2407
## 65 japancentury 1 91 10 55 696
## 66 japancentury 2 85 10 46 672
## 67 japancentury 3 95 10 51 675
## 68 japancentury 4 78 10 35 655
## 69 japancentury 5 107 14 56 589
## 70 japancentury 6 109 20 57 904
## 71 japancentury 7 96 20 48 959
## 72 japancentury 8 116 20 65 584
## 73 kansai 1 127 9 102 651
## 74 kansai 2 109 9 85 641
## 75 kansai 3 105 9 82 595
## 76 kansai 4 118 9 94 565
## 77 kansai 5 112 9 87 543
## 78 kansai 6 105 9 77 498
## 79 kansai 7 101 9 80 473
## 80 kansai 8 93 9 73 466
## 81 osaka 1 98 11 73 3042
## 82 osaka 2 99 10 73 2809
## 83 osaka 3 107 10 83 2672
## 84 osaka 4 93 10 70 2565
## 85 osaka 5 104 8 81 2492
## 86 osaka 6 116 8 88 2141
## 87 osaka 7 106 14 73 2312
## 88 osaka 8 125 14 90 2679
## 89 cityphil 1 101 13 85 599
## 90 cityphil 2 115 15 95 529
## 91 cityphil 3 118 14 101 613
## 92 cityphil 4 97 14 78 554
## 93 cityphil 5 92 14 75 528
## 94 cityphil 6 122 13 105 580
## 95 cityphil 7 100 13 80 590
## 96 cityphil 8 103 13 82 570
## 97 newcity 1 140 6 118 155
## 98 newcity 2 137 6 111 304
## 99 newcity 3 118 6 98 171
## 100 newcity 4 106 6 96 182
## 101 newcity 5 89 9 79 147
## 102 newcity 6 69 6 57 149
## 103 newcity 7 69 7 51 194
## 104 newcity 8 55 6 41 165
## 105 central 1 101 9 73 267
## 106 central 2 113 9 84 252
## 107 central 3 92 9 64 225
## 108 central 4 78 9 51 227
## 109 central 5 98 9 79 161
## 110 central 6 90 9 73 216
## 111 central 7 97 9 73 223
## 112 central 8 104 9 84 215
## 113 nagoya 1 124 28 77 3040
## 114 nagoya 2 108 22 62 3207
## 115 nagoya 3 108 28 56 1782
## 116 nagoya 4 117 28 72 1630
## 117 nagoya 5 117 28 67 1651
## 118 nagoya 6 120 28 70 1678
## 119 nagoya 7 133 28 75 1684
## 120 nagoya 8 113 28 65 1542
## 121 sapporo 1 130 20 88 2841
## 122 sapporo 2 122 20 75 2948
## 123 sapporo 3 118 2 74 2843
## 124 sapporo 4 121 20 81 2722
## 125 sapporo 5 127 20 80 2681
## 126 sapporo 6 115 20 77 2705
## 127 sapporo 7 113 20 72 2671
## 128 sapporo 8 126 20 85 2664
## 129 sendai 1 128 16 91 585
## 130 sendai 2 110 14 76 597
## 131 sendai 3 106 17 70 612
## 132 sendai 4 122 18 83 637
## 133 sendai 5 97 18 56 641
## 134 sendai 6 121 18 79 646
## 135 sendai 7 117 12 87 609
## 136 sendai 8 114 18 85 640
## 137 gunma 1 145 9 38 772
## 138 gunma 2 162 9 42 743
## 139 gunma 3 174 9 48 727
## 140 gunma 4 145 8 42 773
## 141 gunma 5 170 9 41 858
## 142 gunma 6 169 11 51 853
## 143 gunma 7 139 12 25 907
## 144 gunma 8 166 12 39 880
## 145 kyushu 1 113 8 78 901
## 146 kyushu 2 110 8 75 937
## 147 kyushu 3 126 8 100 1001
## 148 kyushu 4 122 8 97 977
## 149 kyushu 5 107 8 80 1055
## 150 kyushu 6 127 9 97 1662
## 151 kyushu 7 120 9 92 1558
## 152 kyushu 8 103 9 74 1547
## 153 hiroshima 1 105 14 50 680
## 154 hiroshima 2 111 10 55 576
## 155 hiroshima 3 109 10 49 1044
## 156 hiroshima 4 104 11 51 1114
## 157 hiroshima 5 127 10 76 1124
## 158 hiroshima 6 130 12 69 1339
## 159 hiroshima 7 99 10 36 1387
## 160 hiroshima 8 107 12 48 1336
## 161 kanagawa 1 111 9 85 1182
## 162 kanagawa 2 145 9 120 1239
## 163 kanagawa 3 135 9 104 1306
## 164 kanagawa 4 155 9 121 1502
## 165 kanagawa 5 137 16 105 1685
## 166 kanagawa 6 136 17 102 1683
## 167 kanagawa 7 121 17 88 1514
## 168 kanagawa 8 122 13 96 1424
## 169 yamagata 1 155 13 67 1923
## 170 yamagata 2 184 20 59 1633
## 171 yamagata 3 158 20 60 1427
## 172 yamagata 4 192 23 74 1287
## 173 yamagata 5 177 21 59 1257
## 174 yamagata 6 151 13 34 1041
## 175 yamagata 7 137 18 40 1297
## 176 yamagata 8 145 18 43 1409
## 177 kyotoshi 1 99 11 57 1119
## 178 kyotoshi 2 92 11 53 1124
## 179 kyotoshi 3 87 11 56 2125
## 180 kyotoshi 4 90 11 50 2125
## 181 kyotoshi 5 92 11 50 2040
## 182 kyotoshi 6 99 17 46 2829
## 183 kyotoshi 7 109 17 48 2859
## 184 kyotoshi 8 99 17 46 2668
## 185 kanazawa 1 108 22 48 2508
## 186 kanazawa 2 121 25 51 2253
## 187 kanazawa 3 103 23 47 2139
## 188 kanazawa 4 102 22 41 2033
## 189 kanazawa 5 94 23 45 1907
## 190 kanazawa 6 109 19 63 1879
## 191 kanazawa 7 99 21 39 1767
## 192 kanazawa 8 104 21 53 1632
## 193 hyogo 1 117 27 57 3688
## 194 hyogo 2 110 27 53 4273
## 195 hyogo 3 111 27 54 4529
## 196 hyogo 4 116 27 53 4798
## 197 hyogo 5 106 27 14 4896
## 198 hyogo 6 131 27 38 4984
## 199 hyogo 7 98 24 11 4757
## 200 hyogo 8 109 30 15 4466
## attendance revenue ticketsales privatesupport agency local
## 1 222614 3251632 1397371 327900 30000 0
## 2 208494 2984440 1295172 279500 0 0
## 3 203300 3009026 1288818 296209 0 0
## 4 207228 3162484 1343233 370200 38000 0
## 5 209461 3006861 1290073 291000 10126 0
## 6 222326 2938896 1292605 232000 4522 0
## 7 202223 3054690 1306469 233169 53627 0
## 8 217604 2967867 1306294 248400 2454 0
## 9 138669 2223134 503750 1585280 128000 0
## 10 144265 2375252 607317 1589960 168700 0
## 11 179700 2260148 695757 1466330 89900 0
## 12 142179 2234667 665241 1467620 96900 0
## 13 97753 2309770 668433 1509565 125471 0
## 14 171789 2494452 815754 1519120 149006 0
## 15 148763 2247298 738925 1399800 100000 0
## 16 160956 2340639 820909 1405550 100000 0
## 17 164226 1897526 666402 15948 153300 1050000
## 18 176986 1852763 625650 21022 149800 1050000
## 19 203144 1776816 622070 21800 78300 1050000
## 20 238355 1794602 623593 24660 92400 1050000
## 21 177595 1706525 540440 21812 90300 1050000
## 22 201376 1777934 596692 30590 123660 1023000
## 23 174167 1699338 544270 27920 100000 1023000
## 24 179985 1735822 582874 25650 100000 1023000
## 25 520624 2027776 1472101 422040 116400 0
## 26 566457 1775649 1482318 154230 105300 0
## 27 593320 1771573 1453372 170592 112100 0
## 28 593802 2069317 1694607 181799 165800 0
## 29 558029 1741022 1505275 108890 95000 0
## 30 530797 1666998 1466108 114789 70319 0
## 31 673420 1889857 1677927 91886 100000 0
## 32 624617 1784623 1572246 91589 100000 0
## 33 194513 1149535 846601 124849 100680 4000
## 34 208000 1282520 941295 154028 101500 0
## 35 200000 1465094 1089354 216495 91000 0
## 36 219243 1359824 1032844 149503 110677 0
## 37 180668 1371464 1006964 170619 121184 0
## 38 228414 1391541 1096270 138235 92487 0
## 39 200000 1430421 1055017 170361 122263 0
## 40 200000 1439078 1076034 146442 122263 0
## 41 189841 1271654 1088493 45150 96800 0
## 42 212895 1111848 895478 68423 101500 0
## 43 203954 1163201 935132 92742 95000 0
## 44 251562 1290630 1077106 77665 99600 0
## 45 196315 1303399 1071052 98397 102600 0
## 46 215600 1226689 978821 126634 88103 0
## 47 211921 1351315 1050186 122529 140351 0
## 48 223193 1322658 1072766 113132 100000 0
## 49 155642 1125384 765070 173483 117800 42210
## 50 164197 1203941 793813 198492 115700 41790
## 51 193909 1153489 809695 141865 109100 42600
## 52 185048 1080489 744043 137342 118700 39200
## 53 177000 1062368 744939 127343 113100 39200
## 54 171692 1023610 708977 132507 106513 42600
## 55 209685 1124196 766408 190289 100000 39200
## 56 185595 1041389 691460 164817 96449 55555
## 57 170000 1035501 548693 212814 105200 110000
## 58 145000 1027415 559732 207716 101100 110000
## 59 128000 843722 435739 199554 75100 100000
## 60 113000 774528 404989 192850 71300 78000
## 61 147000 877191 536941 203625 64700 37814
## 62 126000 835358 430689 322405 50664 5537
## 63 156000 973899 575285 263611 80648 5304
## 64 154000 940798 566893 257925 82138 2312
## 65 70900 487139 270696 11045 43400 110000
## 66 64125 376753 247029 18116 55900 0
## 67 62653 635327 269252 29609 71600 0
## 68 59483 650961 204982 31704 48400 200
## 69 63000 748664 295005 47402 51135 708
## 70 69800 758411 341723 20429 37246 3000
## 71 75000 712515 282074 51315 34383 5000
## 72 101853 678979 365744 37817 42608 3773
## 73 103000 546727 421585 53921 52340 1500
## 74 109000 537261 416800 53724 49100 1500
## 75 90000 518314 401493 54270 46100 300
## 76 84000 494033 382855 55175 45500 0
## 77 93000 493635 387258 57801 41800 0
## 78 98000 545735 399001 71684 55142 200
## 79 89000 535711 436714 59822 32340 200
## 80 83500 497138 404553 56377 30889 410
## 81 98000 465951 343368 58204 43200 5500
## 82 99000 498401 369410 55450 44400 5500
## 83 83600 466801 357995 56265 36000 1950
## 84 73000 442123 338428 61777 33100 2000
## 85 90000 476259 378601 65824 25100 200
## 86 116000 509550 415509 70813 18016 500
## 87 117000 547888 379049 141170 21339 0
## 88 137500 490263 361582 102120 20668 0
## 89 107055 364022 310701 4070 27500 0
## 90 142400 391295 323118 6558 28600 0
## 91 125000 377661 294161 9728 29900 0
## 92 130000 327770 270448 5812 30600 0
## 93 135000 371980 317705 6072 26600 0
## 94 138000 413001 363712 3811 18449 0
## 95 124200 394789 357540 3137 19897 0
## 96 122800 399818 365861 3503 16268 0
## 97 120000 420494 400836 2228 13600 0
## 98 150000 357042 340142 0 16400 0
## 99 10270 341815 322531 708 10530 0
## 100 85000 316897 288818 3378 13800 0
## 101 124150 243114 222614 7200 13300 0
## 102 90456 158792 147502 200 10590 0
## 103 122000 191606 170160 6650 13409 0
## 104 87500 154205 130446 12010 8169 0
## 105 56044 253715 214615 5980 12200 16385
## 106 50000 256019 216504 6600 11700 16585
## 107 48000 259119 227141 5525 7800 16686
## 108 54719 154829 115429 5954 9500 16043
## 109 73859 196827 169300 5170 6371 9921
## 110 70714 159606 137580 4880 6371 10475
## 111 58000 199262 174928 5100 6203 0
## 112 72000 188650 144982 5090 5952 25837
## 113 143536 1137894 497430 139028 74800 348182
## 114 124080 1027550 428002 138732 89700 348182
## 115 126011 1017703 412975 72758 81800 348182
## 116 121459 1071576 464103 144629 84300 348182
## 117 122549 1070075 476211 149607 80400 348182
## 118 128539 1083496 466143 203384 64049 348182
## 119 145018 1189766 536589 204392 85269 358182
## 120 116376 1054049 435302 170631 93047 348182
## 121 154399 1022286 555797 95241 90500 260000
## 122 165268 1026336 495091 145428 100500 260000
## 123 155935 1004101 490310 141363 90500 260000
## 124 146329 1017442 512323 140088 90800 260000
## 125 145022 1056598 563054 92927 95900 260000
## 126 135296 996152 545033 102770 72795 260000
## 127 155738 1004942 528436 93337 107793 260000
## 128 142546 1070035 588897 99886 105405 260000
## 129 83633 982167 479275 14341 61300 371563
## 130 87341 924709 384340 68512 62000 361088
## 131 79481 898845 405802 28818 59800 359915
## 132 84532 936852 464089 18986 60400 363695
## 133 77028 830924 360362 19460 64600 362216
## 134 98287 1015951 484830 41436 49482 367918
## 135 92266 1103789 581260 22205 48921 367225
## 136 81900 919027 475291 25075 37168 367892
## 137 119776 737254 242443 41514 87900 347398
## 138 128126 789025 274592 39730 108200 362532
## 139 127749 828620 308143 39970 109400 367780
## 140 121663 809339 307081 31201 103500 365076
## 141 128257 796109 299271 25648 101200 368228
## 142 125193 851904 345493 50694 86974 366225
## 143 113624 768832 278454 31177 79263 375452
## 144 126317 818280 367170 21654 78498 348356
## 145 94000 791243 360151 38681 48900 334000
## 146 101400 853398 356327 107993 47100 334000
## 147 110000 861510 405768 71663 47000 334000
## 148 119000 823049 373418 59726 47100 334000
## 149 36200 772942 341789 57885 34200 334000
## 150 114600 835630 429325 35395 27915 334000
## 151 110250 806733 397325 35910 36073 334000
## 152 120155 787122 376206 35650 36904 334000
## 153 83054 727658 338684 75080 70557 227000
## 154 91986 744003 356622 76366 71500 225350
## 155 85696 761346 339001 94264 80600 229000
## 156 88824 774119 329695 83652 91100 230000
## 157 85380 770136 348411 100887 76800 230000
## 158 89216 766904 357467 99085 71624 230000
## 159 82116 725044 327977 93076 61048 230000
## 160 89721 761600 354102 82739 83760 230000
## 161 192732 674015 346874 18541 48500 246700
## 162 156045 844894 468525 68161 49600 236700
## 163 250536 752080 425377 39460 33700 236200
## 164 275769 1171975 503250 369330 48100 235700
## 165 185790 751782 429279 35126 45500 235711
## 166 176108 835350 402699 41491 41210 222000
## 167 184032 802611 366148 47202 44643 217250
## 168 139999 796188 372173 48334 29794 217250
## 169 85000 449554 244113 47159 44900 99300
## 170 95590 521930 306045 42935 45900 89197
## 171 80031 509884 255372 40175 44200 90710
## 172 84300 502978 271168 40680 58519 89197
## 173 76069 459250 261246 43696 54337 79197
## 174 74881 408198 224776 45840 42135 89197
## 175 79922 484091 285753 39930 57054 93602
## 176 82165 460174 255949 40864 56467 91876
## 177 110000 966436 233268 41187 68919 618848
## 178 110000 951777 205524 43725 68200 623662
## 179 110000 983382 185117 44099 69800 644407
## 180 110000 985672 194787 58007 81400 622097
## 181 110000 1041563 190917 51394 86400 676496
## 182 125000 1177752 187949 58001 95642 691651
## 183 141000 1256322 302074 57967 85657 711572
## 184 124700 1093421 256065 57946 80154 692041
## 185 126354 1181739 444735 90150 133177 366772
## 186 123949 924455 394384 32800 61828 359590
## 187 88552 794760 332901 31950 28300 370835
## 188 106258 911850 423931 23950 42830 374119
## 189 92100 815446 338276 6250 56380 367548
## 190 112738 829547 375952 14425 46952 367559
## 191 86419 771322 339736 18350 43853 363663
## 192 109701 761135 353931 16900 30019 354190
## 193 162000 733461 271795 0 8405 438606
## 194 165477 742152 250396 0 5493 440625
## 195 173160 733758 259434 0 2000 443661
## 196 183829 757169 254119 2000 9088 444664
## 197 179136 711964 245151 4028 3000 438395
## 198 216501 745720 294230 151 10013 440870
## 199 147775 654345 199031 1600 9149 443523
## 200 187711 732751 271569 3194 9464 446758
## foundations expenditure average.attendance average.ticketsales
## 1 1400000 3028672 1919.0862 12046.302
## 2 1400000 2908171 1966.9245 12218.604
## 3 1400000 2950164 1815.1786 11507.304
## 4 1400000 3195057 1833.8761 11887.018
## 5 1400000 2840401 1904.1909 11727.936
## 6 1400000 2824884 2077.8131 12080.421
## 7 1450000 3116179 1758.4609 11360.600
## 8 1400000 2945281 1960.3964 11768.414
## 9 0 1956475 1612.4302 5857.558
## 10 0 1969586 1400.6311 5896.282
## 11 3160 2159849 1761.7647 6821.147
## 12 500 2133629 1421.7900 6652.410
## 13 500 2238638 872.7946 5968.152
## 14 500 2225031 1480.9397 7032.362
## 15 500 1968752 1416.7905 7037.381
## 16 5000 2240741 1450.0541 7395.577
## 17 2900 1863682 1156.5211 4692.972
## 18 4356 1732044 1141.8452 4036.452
## 19 2560 1661913 1400.9931 4290.138
## 20 2500 1818995 1702.5357 4454.236
## 21 1800 1716031 1366.1154 4157.231
## 22 3000 1968448 1469.8978 4355.416
## 23 1900 1584626 1451.3917 4535.583
## 24 3250 1671466 1417.2047 4589.559
## 25 0 1738911 1637.1824 4629.248
## 26 14700 1686882 1690.9164 4424.830
## 27 5460 1719767 1792.5076 4390.852
## 28 2700 2068924 1879.1203 5362.680
## 29 1000 1712870 1711.7454 4617.408
## 30 500 1675827 1717.7896 4744.686
## 31 3500 1817481 1963.3236 4891.915
## 32 4600 1754544 1810.4841 4557.235
## 33 12800 1280510 1399.3741 6090.655
## 34 21100 1228552 1377.4834 6233.742
## 35 26850 1291760 1212.1212 6602.145
## 36 18050 1333390 1361.7578 6415.180
## 37 15050 1337486 1150.7516 6413.783
## 38 18000 1380597 1436.5660 6894.780
## 39 36650 1400194 1282.0513 6762.929
## 40 41100 1416501 1369.8630 7370.096
## 41 10284 1285196 1186.5062 6803.081
## 42 10600 1140099 1400.6250 5891.303
## 43 10060 1165352 1307.3974 5994.436
## 44 3400 1273575 1462.5698 6262.244
## 45 3800 1349710 1175.5389 6413.485
## 46 7900 1219712 1418.4211 6439.612
## 47 5700 1380416 1358.4679 6731.962
## 48 3800 1263361 1369.2822 6581.387
## 49 10900 1172379 1152.9037 5667.185
## 50 11900 1157716 1345.8770 6506.664
## 51 7628 1128996 1405.1377 5867.355
## 52 2735 1070229 1391.3383 5594.308
## 53 6497 1071378 1361.5385 5730.300
## 54 2150 1082843 1244.1449 5137.514
## 55 2000 1122088 1407.2819 5143.678
## 56 2200 1095494 1297.8671 4835.385
## 57 11800 986334 1531.5315 4943.180
## 58 3000 1015389 1271.9298 4909.930
## 59 5500 892394 1230.7692 4189.798
## 60 3000 877417 1298.8506 4655.046
## 61 5000 975309 1400.0000 5113.724
## 62 3000 896943 1500.0000 5127.250
## 63 500 954924 1457.9439 5376.495
## 64 4500 965241 1540.0000 5668.930
## 65 14015 669871 779.1209 2974.681
## 66 6800 641373 754.4118 2906.224
## 67 10000 698364 659.5053 2834.232
## 68 2600 645877 762.6026 2627.974
## 69 8500 753799 588.7850 2757.056
## 70 3900 758622 640.3670 3135.073
## 71 2600 712758 781.2500 2938.271
## 72 1200 679436 878.0431 3152.966
## 73 11850 543851 811.0236 3319.567
## 74 13800 533545 1000.0000 3823.853
## 75 9500 510749 857.1429 3823.743
## 76 1000 483910 711.8644 3244.534
## 77 3900 490544 830.3571 3457.661
## 78 8500 542018 933.3333 3800.010
## 79 3700 520069 881.1881 4323.901
## 80 2600 495664 897.8495 4350.032
## 81 13100 513348 1000.0000 3503.755
## 82 20600 499021 1000.0000 3731.414
## 83 12300 495746 781.3084 3345.748
## 84 4300 436114 784.9462 3639.011
## 85 6000 451932 865.3846 3640.394
## 86 4050 473885 1000.0000 3581.974
## 87 5150 493857 1103.7736 3575.934
## 88 3750 492104 1100.0000 2892.656
## 89 8150 432086 1059.9505 3076.248
## 90 14600 413359 1238.2609 2809.722
## 91 1300 387915 1059.3220 2492.890
## 92 1000 313932 1340.2062 2788.124
## 93 1090 342270 1467.3913 3453.315
## 94 3600 355131 1131.1475 2981.246
## 95 5300 367971 1242.0000 3575.400
## 96 4800 385492 1192.2330 3552.049
## 97 3830 420945 857.1429 2863.114
## 98 500 383704 1094.8905 2482.788
## 99 0 343382 87.0339 2733.314
## 100 500 303216 801.8868 2724.698
## 101 0 261329 1394.9438 2501.281
## 102 500 182817 1310.9565 2137.710
## 103 500 236324 1768.1159 2466.087
## 104 0 153309 1590.9091 2371.745
## 105 0 255935 554.8911 2124.901
## 106 0 256979 442.4779 1915.965
## 107 500 257672 521.7391 2468.924
## 108 1500 166743 701.5256 1479.859
## 109 800 194603 753.6633 1727.551
## 110 300 160670 785.7111 1528.667
## 111 800 201260 597.9381 1803.381
## 112 550 188320 692.3077 1394.058
## 113 16705 1090298 1157.5484 4011.532
## 114 15100 1015240 1148.8889 3962.981
## 115 25430 985320 1166.7685 3823.843
## 116 23050 995795 1038.1111 3966.692
## 117 14450 1048448 1047.4273 4070.179
## 118 1200 1005680 1071.1583 3884.525
## 119 4670 1089929 1090.3609 4034.504
## 120 5508 1019847 1029.8761 3852.230
## 121 17750 1022236 1187.6846 4275.362
## 122 24620 998679 1354.6557 4058.123
## 123 20620 1018483 1321.4831 4155.169
## 124 13395 1013957 1209.3306 4234.074
## 125 13550 1011577 1141.9055 4433.496
## 126 14700 1005578 1176.4870 4739.417
## 127 15100 1007423 1378.2124 4676.425
## 128 15500 1032683 1131.3175 4673.786
## 129 10000 981850 653.3828 3744.336
## 130 8050 887004 794.0091 3494.000
## 131 3300 957762 749.8208 3828.321
## 132 3500 979684 692.8852 3804.008
## 133 500 917454 794.1031 3715.072
## 134 500 983377 812.2893 4006.860
## 135 1100 1010787 788.5983 4968.034
## 136 600 907249 718.4211 4169.219
## 137 550 723260 826.0414 1672.021
## 138 2700 767757 790.9012 1695.012
## 139 2000 819735 734.1897 1770.937
## 140 500 786826 839.0552 2117.800
## 141 700 801695 754.4529 1760.418
## 142 1500 826656 740.7870 2044.337
## 143 3500 786174 817.4388 2003.266
## 144 1800 825820 760.9458 2211.867
## 145 6500 786457 831.8584 3187.177
## 146 5500 780059 921.8182 3239.336
## 147 500 803542 873.0159 3220.381
## 148 3100 813150 975.4098 3060.803
## 149 2000 785133 338.3178 3194.290
## 150 6900 805563 902.3622 3380.512
## 151 2000 780423 918.7500 3311.042
## 152 2800 777316 1166.5534 3652.485
## 153 12100 704861 790.9905 3225.562
## 154 9000 735418 828.7027 3212.811
## 155 13560 737721 786.2018 3110.101
## 156 26770 784776 854.0769 3170.144
## 157 10550 741067 672.2835 2743.394
## 158 5300 765198 686.2769 2749.746
## 159 8800 724989 829.4545 3312.899
## 160 7890 761588 838.5140 3309.364
## 161 4400 689725 1736.3243 3124.991
## 162 12600 750573 1076.1724 3231.207
## 163 3100 752461 1855.8222 3150.941
## 164 7550 776668 1779.1548 3246.774
## 165 4075 748182 1356.1314 3133.423
## 166 2100 831525 1294.9118 2961.022
## 167 2100 788859 1520.9256 3026.017
## 168 3700 782926 1147.5328 3050.598
## 169 11300 466977 548.3871 1574.923
## 170 13300 502753 519.5109 1663.288
## 171 7800 554026 506.5253 1616.278
## 172 6500 499311 439.0625 1412.333
## 173 13700 447661 429.7684 1475.966
## 174 4300 412091 495.9007 1488.583
## 175 5700 472383 583.3723 2085.788
## 176 3000 455669 566.6552 1765.166
## 177 1000 966363 1111.1111 2356.242
## 178 8130 917618 1195.6522 2233.957
## 179 3450 927604 1264.3678 2127.782
## 180 550 939266 1222.2222 2164.300
## 181 850 1032835 1195.6522 2075.185
## 182 1750 1191174 1262.6263 1898.475
## 183 1050 1192204 1293.5780 2771.321
## 184 550 1071266 1259.5960 2586.515
## 185 5950 1132831 1169.9444 4117.917
## 186 11000 927705 1024.3719 3259.372
## 187 6160 799523 859.7282 3232.049
## 188 3500 881999 1041.7451 4156.186
## 189 4600 827409 979.7872 3598.681
## 190 4400 791562 1034.2936 3449.101
## 191 4400 800645 872.9192 3431.677
## 192 4200 776897 1054.8173 3403.183
## 193 50 733461 1384.6154 2323.034
## 194 710 742152 1504.3364 2276.327
## 195 0 733758 1560.0000 2337.243
## 196 200 757169 1584.7328 2190.681
## 197 1500 711964 1689.9623 2312.745
## 198 0 745720 1652.6794 2246.031
## 199 500 654345 1507.9082 2030.929
## 200 500 732751 1722.1193 2491.459
## average.ticketcost subscription.percentage ticketsales.percentage
## 1 6.277103 0.46551724 0.4297445
## 2 6.212035 0.50943396 0.4339749
## 3 6.339488 0.48214286 0.4283173
## 4 6.481909 0.47787611 0.4247399
## 5 6.159013 0.49090909 0.4290431
## 6 5.814007 0.50467290 0.4398267
## 7 6.460536 0.45217391 0.4276928
## 8 6.003079 0.43243243 0.4401457
## 9 3.632751 0.11627907 0.2265945
## 10 4.209732 0.10679612 0.2556853
## 11 3.871770 0.50980392 0.3078369
## 12 4.678898 0.60000000 0.2976913
## 13 6.837979 0.51785714 0.2893937
## 14 4.748581 0.56034483 0.3270273
## 15 4.967129 0.52380952 0.3288060
## 16 5.100208 0.49549550 0.3507200
## 17 4.057835 0.11267606 0.3511952
## 18 3.535025 0.11612903 0.3376849
## 19 3.062212 0.19310345 0.3501038
## 20 2.616236 0.20000000 0.3474826
## 21 3.043104 0.21538462 0.3166904
## 22 2.963074 0.20437956 0.3356098
## 23 3.124989 0.23333333 0.3202835
## 24 3.238459 0.22834646 0.3357913
## 25 2.827570 0.07547170 0.7259683
## 26 2.616824 0.06567164 0.8348035
## 27 2.449558 0.07250755 0.8203850
## 28 2.853825 0.07594937 0.8189209
## 29 2.697485 0.07361963 0.8645928
## 30 2.762088 0.07766990 0.8794900
## 31 2.491650 0.06413994 0.8878592
## 32 2.517136 0.06376812 0.8809962
## 33 4.352413 0.21582734 0.7364726
## 34 4.525457 0.19867550 0.7339418
## 35 5.446770 0.18181818 0.7435386
## 36 4.710955 0.18633540 0.7595424
## 37 5.573560 0.19108280 0.7342256
## 38 4.799487 0.18867924 0.7878101
## 39 5.275085 0.19230769 0.7375570
## 40 5.380170 0.20547945 0.7477246
## 41 5.733709 0.06875000 0.8559663
## 42 4.206196 0.07236842 0.8053961
## 43 4.585014 0.06410256 0.8039298
## 44 4.281672 0.05813953 0.8345583
## 45 5.455783 0.05988024 0.8217376
## 46 4.539986 0.06578947 0.7979374
## 47 4.955554 0.13461539 0.7771585
## 48 4.806450 0.12883436 0.8110683
## 49 4.915575 0.17777778 0.6798302
## 50 4.834516 0.19672131 0.6593454
## 51 4.175644 0.15217391 0.7019529
## 52 4.020811 0.21052632 0.6886169
## 53 4.208695 0.19230769 0.7012062
## 54 4.129354 0.21014493 0.6926241
## 55 3.655044 0.22818792 0.6817388
## 56 3.725639 0.27272727 0.6639786
## 57 3.227606 0.18918919 0.5298817
## 58 3.860221 0.18421053 0.5447964
## 59 3.404211 0.19230769 0.5164485
## 60 3.583973 0.22988506 0.5228849
## 61 3.652660 0.19047619 0.6121141
## 62 3.418167 0.23809524 0.5155742
## 63 3.687724 0.18691589 0.5907029
## 64 3.681123 0.20000000 0.6025661
## 65 3.817997 0.10989011 0.5556853
## 66 3.852304 0.11764706 0.6556789
## 67 4.297512 0.10526316 0.4238007
## 68 3.446060 0.12820513 0.3148914
## 69 4.682619 0.13084112 0.3940419
## 70 4.895745 0.18348624 0.4505776
## 71 3.760987 0.20833333 0.3958850
## 72 3.590901 0.17241379 0.5386676
## 73 4.093058 0.07086614 0.7711070
## 74 3.823853 0.08256881 0.7757868
## 75 4.461033 0.08571429 0.7746135
## 76 4.557798 0.07627119 0.7749584
## 77 4.164065 0.08035714 0.7845027
## 78 4.071439 0.08571429 0.7311259
## 79 4.906899 0.08910891 0.8152045
## 80 4.844946 0.09677419 0.8137640
## 81 3.503755 0.11224490 0.7369187
## 82 3.731414 0.10101010 0.7411903
## 83 4.282237 0.09345794 0.7669114
## 84 4.636000 0.10752688 0.7654612
## 85 4.206678 0.07692308 0.7949477
## 86 3.581974 0.06896552 0.8154430
## 87 3.239735 0.13207547 0.6918367
## 88 2.629687 0.11200000 0.7375266
## 89 2.902256 0.12871287 0.8535226
## 90 2.269087 0.13043478 0.8257657
## 91 2.353288 0.11864407 0.7789022
## 92 2.080369 0.14432990 0.8251152
## 93 2.353370 0.15217391 0.8540916
## 94 2.635594 0.10655738 0.8806565
## 95 2.878744 0.13000000 0.9056483
## 96 2.979324 0.12621359 0.9150689
## 97 3.340300 0.04285714 0.9532502
## 98 2.267613 0.04379562 0.9526666
## 99 31.405161 0.05084746 0.9435835
## 100 3.397859 0.05660377 0.9113939
## 101 1.793105 0.10112360 0.9156774
## 102 1.630649 0.08695652 0.9289007
## 103 1.394754 0.10144928 0.8880724
## 104 1.490811 0.10909091 0.8459259
## 105 3.829402 0.08910891 0.8458901
## 106 4.330080 0.07964602 0.8456560
## 107 4.732104 0.09782609 0.8765895
## 108 2.109487 0.11538461 0.7455257
## 109 2.292205 0.09183674 0.8601462
## 110 1.945584 0.10000000 0.8619977
## 111 3.016000 0.09278351 0.8778794
## 112 2.013639 0.08653846 0.7685237
## 113 3.465542 0.22580645 0.4371497
## 114 3.449404 0.20370370 0.4165267
## 115 3.277293 0.25925926 0.4057913
## 116 3.821067 0.23931624 0.4331032
## 117 3.885882 0.23931624 0.4450258
## 118 3.626471 0.23333333 0.4302212
## 119 3.700154 0.21052632 0.4510038
## 120 3.740479 0.24778761 0.4129808
## 121 3.599745 0.15384615 0.5436805
## 122 2.995686 0.16393443 0.4823869
## 123 3.144323 0.01694915 0.4883075
## 124 3.501172 0.16528926 0.5035403
## 125 3.882542 0.15748032 0.5328933
## 126 4.028449 0.17391304 0.5471384
## 127 3.393109 0.17699115 0.5258373
## 128 4.131277 0.15873016 0.5503530
## 129 5.730692 0.12500000 0.4879771
## 130 4.400453 0.12727273 0.4156335
## 131 5.105648 0.16037736 0.4514705
## 132 5.490098 0.14754098 0.4953707
## 133 4.678325 0.18556701 0.4336883
## 134 4.932799 0.14876033 0.4772179
## 135 6.299829 0.10256410 0.5266043
## 136 5.803309 0.15789474 0.5171676
## 137 2.024137 0.06206897 0.3288460
## 138 2.143140 0.05555556 0.3480143
## 139 2.412097 0.05172414 0.3718749
## 140 2.524029 0.05517241 0.3794220
## 141 2.333370 0.05294118 0.3759171
## 142 2.759683 0.06508876 0.4055539
## 143 2.450662 0.08633093 0.3621780
## 144 2.906735 0.07228916 0.4487095
## 145 3.831394 0.07079646 0.4551712
## 146 3.514073 0.07272727 0.4175391
## 147 3.688800 0.06349206 0.4709963
## 148 3.137966 0.06557377 0.4537008
## 149 9.441685 0.07476636 0.4421923
## 150 3.746291 0.07086614 0.5137740
## 151 3.603855 0.07500000 0.4925112
## 152 3.131006 0.08737864 0.4779513
## 153 4.077877 0.13333333 0.4654439
## 154 3.876916 0.09009009 0.4793287
## 155 3.955856 0.09174312 0.4452654
## 156 3.711778 0.10576923 0.4258971
## 157 4.080710 0.07874016 0.4524019
## 158 4.006759 0.09230769 0.4661170
## 159 3.994069 0.10101010 0.4523546
## 160 3.946701 0.11214953 0.4649449
## 161 1.799774 0.08108108 0.5146384
## 162 3.002499 0.06206897 0.5545370
## 163 1.697868 0.06666667 0.5656007
## 164 1.824897 0.05806452 0.4294034
## 165 2.310560 0.11678832 0.5710153
## 166 2.286659 0.12500000 0.4820722
## 167 1.989589 0.14049587 0.4561961
## 168 2.658398 0.10655738 0.4674436
## 169 2.871918 0.08387097 0.5430115
## 170 3.201642 0.10869565 0.5863717
## 171 3.190914 0.12658228 0.5008433
## 172 3.216702 0.11979167 0.5391250
## 173 3.434329 0.11864407 0.5688536
## 174 3.001776 0.08609272 0.5506543
## 175 3.575399 0.13138686 0.5902878
## 176 3.115061 0.12413793 0.5562005
## 177 2.120618 0.11111111 0.2413693
## 178 1.868400 0.11956522 0.2159371
## 179 1.682882 0.12643678 0.1882453
## 180 1.770791 0.12222222 0.1976185
## 181 1.735609 0.11956522 0.1832986
## 182 1.503592 0.17171717 0.1595828
## 183 2.142369 0.15596330 0.2404431
## 184 2.053448 0.17171717 0.2341870
## 185 3.519754 0.20370370 0.3763394
## 186 3.181825 0.20661157 0.4266124
## 187 3.759384 0.22330097 0.4188698
## 188 3.989638 0.21568628 0.4649131
## 189 3.672921 0.24468085 0.4148356
## 190 3.334741 0.17431193 0.4532016
## 191 3.931265 0.21212121 0.4404594
## 192 3.226324 0.20192308 0.4650042
## 193 1.677747 0.23076923 0.3705650
## 194 1.513177 0.24545454 0.3373918
## 195 1.498233 0.24324324 0.3535689
## 196 1.382366 0.23275862 0.3356173
## 197 1.368519 0.25471698 0.3443306
## 198 1.359024 0.20610687 0.3945583
## 199 1.346852 0.24489796 0.3041683
## 200 1.446740 0.27522936 0.3706157
## privatesupport.percentage profit hireconcerts.percentage
## 1 0.100841670 222960 0.3275862
## 2 0.093652411 76269 0.3584906
## 3 0.098440160 58862 0.3214286
## 4 0.117059881 -32573 0.3274336
## 5 0.096778667 166460 0.3272727
## 6 0.078941208 114012 0.3177570
## 7 0.076331477 -61489 0.2695652
## 8 0.083696473 22586 0.3333333
## 9 0.713083422 266659 0.2906977
## 10 0.669385817 405666 0.3786408
## 11 0.648776098 100299 0.3235294
## 12 0.656751095 101038 0.2800000
## 13 0.653556415 71132 0.3928571
## 14 0.608999492 269421 0.3793103
## 15 0.622881345 278546 0.4095238
## 16 0.600498411 99898 0.4234234
## 17 0.008404628 33844 0.6549296
## 18 0.011346297 120719 0.6709677
## 19 0.012269138 114903 0.7379310
## 20 0.013741208 -24393 0.6857143
## 21 0.012781530 -9506 0.7000000
## 22 0.017205363 -190514 0.6569343
## 23 0.016429927 114712 0.6583333
## 24 0.014776861 64356 0.6614173
## 25 0.208129498 288865 0.8867925
## 26 0.086858382 88767 0.8776119
## 27 0.096294084 51806 0.8791541
## 28 0.087854592 393 0.8639241
## 29 0.062543724 28152 0.8865031
## 30 0.068859711 -8829 0.8770227
## 31 0.048620610 72376 0.8746356
## 32 0.051321203 30079 0.8869565
## 33 0.108608263 -130975 0.4028777
## 34 0.120097932 53968 0.4834437
## 35 0.147768676 173334 0.4121212
## 36 0.109942904 26434 0.4347826
## 37 0.124406474 33978 0.4267516
## 38 0.099339509 10944 0.3962264
## 39 0.119098503 30227 0.3653846
## 40 0.101760989 22577 0.3630137
## 41 0.035504941 -13542 0.6750000
## 42 0.061539887 -28251 0.6907895
## 43 0.079729986 -2151 0.7243590
## 44 0.060176038 17055 0.7441860
## 45 0.075492616 -46311 0.7185629
## 46 0.103232360 6977 0.7105263
## 47 0.090673899 -29101 0.6923077
## 48 0.085533827 59297 0.7177914
## 49 0.154154493 -46995 0.5703704
## 50 0.164868544 46225 0.5655738
## 51 0.122987735 24493 0.6014493
## 52 0.127110965 10260 0.6015038
## 53 0.119867127 -9010 0.5923077
## 54 0.129450670 -59233 0.5724638
## 55 0.169266747 2108 0.5906040
## 56 0.158266508 -54105 0.6083916
## 57 0.205517909 49167 0.6216216
## 58 0.202173416 12026 0.5964912
## 59 0.236516293 -48672 0.6538462
## 60 0.248990353 -102889 0.6091954
## 61 0.232133025 -98118 0.6476190
## 62 0.385948300 -61585 0.5833333
## 63 0.270675912 18975 0.6728972
## 64 0.274155557 -24443 0.6500000
## 65 0.022673200 -182732 0.6043956
## 66 0.048084554 -264620 0.5411765
## 67 0.046604347 -63037 0.5368421
## 68 0.048703379 5084 0.4487179
## 69 0.063315453 -5135 0.5233645
## 70 0.026936582 -211 0.5229358
## 71 0.072019536 -243 0.5000000
## 72 0.055696862 -457 0.5603448
## 73 0.098625091 2876 0.8031496
## 74 0.099996091 3716 0.7798165
## 75 0.104704870 7565 0.7809524
## 76 0.111682823 10123 0.7966102
## 77 0.117092589 3091 0.7767857
## 78 0.131353129 3717 0.7333333
## 79 0.111668418 15642 0.7920792
## 80 0.113403119 1474 0.7849462
## 81 0.124914422 -47397 0.7448980
## 82 0.111255796 -620 0.7373737
## 83 0.120533161 -28945 0.7757009
## 84 0.139728085 6009 0.7526882
## 85 0.138210512 24327 0.7788462
## 86 0.138971642 35665 0.7586207
## 87 0.257662150 54031 0.6886792
## 88 0.208296363 -1841 0.7200000
## 89 0.011180643 -68064 0.8415842
## 90 0.016759734 -22064 0.8260870
## 91 0.025758551 -10254 0.8559322
## 92 0.017731946 13838 0.8041237
## 93 0.016323458 29710 0.8152174
## 94 0.009227581 57870 0.8606557
## 95 0.007946017 26818 0.8000000
## 96 0.008761486 14326 0.7961165
## 97 0.005298530 -451 0.8428571
## 98 0.000000000 -26662 0.8102190
## 99 0.002071296 -1567 0.8305085
## 100 0.010659615 13681 0.9056604
## 101 0.029615736 -18215 0.8876404
## 102 0.001259509 -24025 0.8260870
## 103 0.034706638 -44718 0.7391304
## 104 0.077883337 896 0.7454545
## 105 0.023569753 -2220 0.7227723
## 106 0.025779337 -960 0.7433628
## 107 0.021322250 1447 0.6956522
## 108 0.038455328 -11914 0.6538462
## 109 0.026266722 2224 0.8061224
## 110 0.030575292 -1064 0.8111111
## 111 0.025594443 -1998 0.7525773
## 112 0.026981182 330 0.8076923
## 113 0.122180098 47596 0.6209677
## 114 0.135012408 12310 0.5740741
## 115 0.071492371 32383 0.5185185
## 116 0.134968495 75781 0.6153846
## 117 0.139809826 21627 0.5726496
## 118 0.187710891 77816 0.5833333
## 119 0.171791764 99837 0.5639098
## 120 0.161881469 34202 0.5752212
## 121 0.093164731 50 0.6769231
## 122 0.141696287 27657 0.6147541
## 123 0.140785638 -14382 0.6271186
## 124 0.137686473 3485 0.6694215
## 125 0.087949248 45021 0.6299213
## 126 0.103166987 -9426 0.6695652
## 127 0.092877997 -2481 0.6371681
## 128 0.093348348 37352 0.6746032
## 129 0.014601387 317 0.7109375
## 130 0.074090335 37705 0.6909091
## 131 0.032061145 -58917 0.6603774
## 132 0.020265741 -42832 0.6803279
## 133 0.023419711 -86530 0.5773196
## 134 0.040785432 32574 0.6528926
## 135 0.020117069 93002 0.7435897
## 136 0.027284291 11778 0.7456140
## 137 0.056308952 13994 0.2620690
## 138 0.050353284 21268 0.2592593
## 139 0.048236827 8885 0.2758621
## 140 0.038551213 22513 0.2896552
## 141 0.032216694 -5586 0.2411765
## 142 0.059506705 25248 0.3017751
## 143 0.040551122 -17342 0.1798561
## 144 0.026462824 -7540 0.2349398
## 145 0.048886372 4786 0.6902655
## 146 0.126544707 73339 0.6818182
## 147 0.083183016 57968 0.7936508
## 148 0.072566761 9899 0.7950820
## 149 0.074889190 -12191 0.7476636
## 150 0.042357263 30067 0.7637795
## 151 0.044512869 26310 0.7666667
## 152 0.045291581 9806 0.7184466
## 153 0.103180340 22797 0.4761905
## 154 0.102642059 8585 0.4954955
## 155 0.123812301 23625 0.4495413
## 156 0.108060905 -10657 0.4903846
## 157 0.130998940 29069 0.5984252
## 158 0.129201308 1706 0.5307692
## 159 0.128372899 55 0.3636364
## 160 0.108638393 12 0.4485981
## 161 0.027508290 -15710 0.7657658
## 162 0.080674025 94321 0.8275862
## 163 0.052467823 -381 0.7703704
## 164 0.315134709 395307 0.7806452
## 165 0.046723651 3600 0.7664234
## 166 0.049669001 3825 0.7500000
## 167 0.058810557 13752 0.7272727
## 168 0.060706768 13262 0.7868852
## 169 0.104901747 -17423 0.4322581
## 170 0.082261989 19177 0.3206522
## 171 0.078792431 -44142 0.3797468
## 172 0.080878289 3667 0.3854167
## 173 0.095146434 11589 0.3333333
## 174 0.112298443 -3893 0.2251656
## 175 0.082484492 11708 0.2919708
## 176 0.088801193 4505 0.2965517
## 177 0.042617411 73 0.5757576
## 178 0.045940383 34159 0.5760870
## 179 0.044844221 55778 0.6436782
## 180 0.058850206 46406 0.5555556
## 181 0.049343151 8728 0.5434783
## 182 0.049247210 -13422 0.4646465
## 183 0.046140241 64118 0.4403670
## 184 0.052995141 22155 0.4646465
## 185 0.076285880 48908 0.4444444
## 186 0.035480364 -3250 0.4214876
## 187 0.040200815 -4763 0.4563107
## 188 0.026265285 29851 0.4019608
## 189 0.007664517 -11963 0.4787234
## 190 0.017389009 37985 0.5779817
## 191 0.023790324 -29323 0.3939394
## 192 0.022203683 -15762 0.5096154
## 193 0.000000000 0 0.4871795
## 194 0.000000000 0 0.4818182
## 195 0.000000000 0 0.4864865
## 196 0.002641418 0 0.4568966
## 197 0.005657589 0 0.1320755
## 198 0.000202489 0 0.2900763
## 199 0.002445193 0 0.1122449
## 200 0.004358916 0 0.1376147