matt-bernhardt/.gitignore

## .gitignore
.Rproj

## 090615_dallas.md

      
    Raw
  

              090615_dallas.md
            
          
    This is a quick test of a new workflow for generating plots and visualizations around Major League Soccer. This data focuses upon preview data for Columbus Crew SC's game against FC Dallas on September 6, 2015

  
## 150906_dallas.R
# Read in data
preview <- read.csv('preview.csv')

# Simple plots
plot(preview$Cpts,pch=19,col="#ffd407",main="Points earned (by game) - Columbus Crew SC and FC Dallas",xlab="Games played",ylab="Points earned",xlim=c(1,30),ylim=c(0,45),type="s")
par(new=T)
plot(preview$Dpts,pch=19,col="red",xlim=c(1,30),ylim=c(0,45),xlab="",ylab="",type="s")
text("Matt Bernhardt\n@BernhardtSoccer\nMassiveReportData.com",x=31,y=0,col="gray",adj=c(1,0))
par(new=F)

plot(preview$Cppg,pch=19,col="#ffd407",main="Points per game (by game) - Columbus Crew SC and FC Dallas",xlab="Games played",ylab="Points per game",xlim=c(1,30),ylim=c(0,3),type="o")
par(new=T)
plot(preview$Dppg,pch=19,col="red",xlim=c(1,30),ylim=c(0,3),xlab="",ylab="",type="o")
text("Matt Bernhardt\n@BernhardtSoccer\nMassiveReportData.com",x=31,y=0,col="gray",adj=c(1,0))
par(new=F)

plot(preview$Chhi,pch=19,col="#ffd407",main="Playing time concentration (by game) - Columbus Crew SC and FC Dallas",xlab="Games played",ylab="Playing time concentration",xlim=c(1,30),ylim=c(0,1),type="o")
par(new=T)
plot(preview$Dhhi,pch=19,col="red",xlim=c(1,30),ylim=c(0,1),xlab="",ylab="",type="o")
text("Matt Bernhardt\n@BernhardtSoccer\nMassiveReportData.com",x=31,y=0,col="gray",adj=c(1,0))
par(new=F)

## 150906_dallas.Rproj
Version: 1.0

RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default

EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8

RnwWeave: Sweave
LaTeX: pdfLaTeX

## hhi.png

      
    Raw
  

              hhi.png
            
          
## points.png

      
    Raw
  

              points.png
            
          
## ppg.png

      
    Raw
  

              ppg.png
            
          
## preview.csv

          
            Chhi
            Cpts
            Cppg
            Dhhi
            Dpts
            Dppg

            
              0.938832772
              0
              0
              0.965028058
              3
              3

            
              0.85962963
              3
              1.5
              0.923002245
              6
              3

            
              0.801833594
              3
              1
              0.923556553
              9
              3

            
              0.716766491
              4
              1
              0.877147106
              10
              2.5

            
              0.732105051
              5
              1
              0.84921898
              10
              2

            
              0.750548011
              8
              1.333333333
              0.809912117
              10
              1.666666667

            
              0.758912304
              11
              1.571428571
              0.795004552
              13
              1.857142857

            
              0.768848479
              11
              1.375
              0.756973564
              14
              1.75

            
              0.768918695
              14
              1.555555556
              0.720784107
              17
              1.888888889

            
              0.770456532
              14
              1.4
              0.699496057
              20
              2

            
              0.766506787
              15
              1.363636364
              0.688729156
              21
              1.909090909

            
              0.759236084
              16
              1.333333333
              0.688200419
              21
              1.75

            
              0.725510041
              16
              1.230769231
              0.677781728
              21
              1.615384615

            
              0.72129929
              16
              1.142857143
              0.665343441
              22
              1.571428571

            
              0.731682563
              17
              1.133333333
              0.653809174
              22
              1.466666667

            
              0.689028951
              20
              1.25
              0.628348985
              25
              1.5625

            
              0.698527089
              23
              1.352941176
              0.624361516
              26
              1.529411765

            
              0.707105092
              24
              1.333333333
              0.624634784
              29
              1.611111111

            
              0.66712175
              24
              1.263157895
              0.609442976
              29
              1.526315789

            
              0.677033334
              27
              1.35
              0.609170661
              32
              1.6

            
              0.68252138
              27
              1.285714286
              0.609616834
              35
              1.666666667

            
              0.679719705
              30
              1.363636364
              0.612013996
              38
              1.727272727

            
              0.678594682
              33
              1.434782609
              0.61478935
              41
              1.782608696

            
              0.677722829
              34
              1.416666667
              0.616503274
              41
              1.708333333

            
              0.675768209
              34
              1.36
              0.614744788
              41
              1.64

            
              0.672940598
              37
              1.423076923
              0.610513961
              41
              1.576923077

            
              0.673246586
              38
              1.407407407
              0.609216964
              44
              1.62962963

            
              0.672562939
              41
              1.464285714

            
              0.671690994
              44
              1.517241379
	# Read in data
	preview <- read.csv('preview.csv')

	# Simple plots
	plot(preview$Cpts,pch=19,col="#ffd407",main="Points earned (by game) - Columbus Crew SC and FC Dallas",xlab="Games played",ylab="Points earned",xlim=c(1,30),ylim=c(0,45),type="s")
	par(new=T)
	plot(preview$Dpts,pch=19,col="red",xlim=c(1,30),ylim=c(0,45),xlab="",ylab="",type="s")
	text("Matt Bernhardt\n@BernhardtSoccer\nMassiveReportData.com",x=31,y=0,col="gray",adj=c(1,0))
	par(new=F)

	plot(preview$Cppg,pch=19,col="#ffd407",main="Points per game (by game) - Columbus Crew SC and FC Dallas",xlab="Games played",ylab="Points per game",xlim=c(1,30),ylim=c(0,3),type="o")
	par(new=T)
	plot(preview$Dppg,pch=19,col="red",xlim=c(1,30),ylim=c(0,3),xlab="",ylab="",type="o")
	text("Matt Bernhardt\n@BernhardtSoccer\nMassiveReportData.com",x=31,y=0,col="gray",adj=c(1,0))
	par(new=F)

	plot(preview$Chhi,pch=19,col="#ffd407",main="Playing time concentration (by game) - Columbus Crew SC and FC Dallas",xlab="Games played",ylab="Playing time concentration",xlim=c(1,30),ylim=c(0,1),type="o")
	par(new=T)
	plot(preview$Dhhi,pch=19,col="red",xlim=c(1,30),ylim=c(0,1),xlab="",ylab="",type="o")
	text("Matt Bernhardt\n@BernhardtSoccer\nMassiveReportData.com",x=31,y=0,col="gray",adj=c(1,0))
	par(new=F)
	Version: 1.0

	RestoreWorkspace: Default
	SaveWorkspace: Default
	AlwaysSaveHistory: Default

	EnableCodeIndexing: Yes
	UseSpacesForTab: Yes
	NumSpacesForTab: 2
	Encoding: UTF-8

	RnwWeave: Sweave
	LaTeX: pdfLaTeX
Chhi	Cpts	Cppg	Dhhi	Dpts	Dppg
0.938832772	0	0	0.965028058	3	3
0.85962963	3	1.5	0.923002245	6	3
0.801833594	3	1	0.923556553	9	3
0.716766491	4	1	0.877147106	10	2.5
0.732105051	5	1	0.84921898	10	2
0.750548011	8	1.333333333	0.809912117	10	1.666666667
0.758912304	11	1.571428571	0.795004552	13	1.857142857
0.768848479	11	1.375	0.756973564	14	1.75
0.768918695	14	1.555555556	0.720784107	17	1.888888889
0.770456532	14	1.4	0.699496057	20	2
0.766506787	15	1.363636364	0.688729156	21	1.909090909
0.759236084	16	1.333333333	0.688200419	21	1.75
0.725510041	16	1.230769231	0.677781728	21	1.615384615
0.72129929	16	1.142857143	0.665343441	22	1.571428571
0.731682563	17	1.133333333	0.653809174	22	1.466666667
0.689028951	20	1.25	0.628348985	25	1.5625
0.698527089	23	1.352941176	0.624361516	26	1.529411765
0.707105092	24	1.333333333	0.624634784	29	1.611111111
0.66712175	24	1.263157895	0.609442976	29	1.526315789
0.677033334	27	1.35	0.609170661	32	1.6
0.68252138	27	1.285714286	0.609616834	35	1.666666667
0.679719705	30	1.363636364	0.612013996	38	1.727272727
0.678594682	33	1.434782609	0.61478935	41	1.782608696
0.677722829	34	1.416666667	0.616503274	41	1.708333333
0.675768209	34	1.36	0.614744788	41	1.64
0.672940598	37	1.423076923	0.610513961	41	1.576923077
0.673246586	38	1.407407407	0.609216964	44	1.62962963
0.672562939	41	1.464285714
0.671690994	44	1.517241379