cleanBowlerData: Clean the bowlers data frame
In cricketr: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru
Description
Usage
Arguments
Details
Value
Note
Author(s)
References
See Also
Examples
View source: R/cleanBowlerData.R
Description
Clean the bowler's CSV fileand remove rows DNB(Did not bowl) & TDNB (Team did not bowl). Also normalize all 8 ball over to a 6 ball over for earlier bowlers
Usage
1
Arguments
file
The <bowler>.csv file
Details
More details can be found in my short video tutorial in Youtube
https://www.youtube.com/watch?v=q9uMPFVsXsI
Value
A cleaned bowler data frame with complete cases
Note
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>
Author(s)
Tinniam V Ganesh
References
https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/
See Also
Examples
1
2
3
4
5
6
7
8
9
10
11
12
13
## Not run:
# Get bowling data and store in file for future
# kumble <- getPlayerData(30176,dir="./mytest", file="kumble.csv",type="bowling",
# homeOrAway=c(1),result=c(1,2))
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
cleanBowlerData(pathToFile)
# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
## End(Not run)
Example output
X Overs Mdns Runs Wkts Econ Pos Inns Opposition Ground Start.Date
1 1 29.0 8 50 3 1.72 3 2 v England Kolkata 29 Jan 1993
2 2 40.0 16 76 3 1.90 3 3 v England Kolkata 29 Jan 1993
3 3 25.0 9 61 2 2.44 2 2 v England Chennai 11 Feb 1993
4 4 21.0 7 64 6 3.04 5 3 v England Chennai 11 Feb 1993
5 5 40.0 4 95 3 2.37 4 1 v England Mumbai 19 Feb 1993
6 6 26.0 9 70 4 2.69 3 3 v England Mumbai 19 Feb 1993
7 7 43.0 12 90 3 2.09 4 2 v Zimbabwe Delhi 13 Mar 1993
8 8 38.5 16 70 5 1.80 4 3 v Zimbabwe Delhi 13 Mar 1993
9 9 37.0 10 69 4 1.86 4 2 v Sri Lanka Lucknow 18 Jan 1994
10 10 27.3 9 59 7 2.14 4 3 v Sri Lanka Lucknow 18 Jan 1994
11 11 13.0 2 50 3 3.84 3 2 v Sri Lanka Bangalore 26 Jan 1994
12 12 16.0 3 64 3 4.00 3 3 v Sri Lanka Bangalore 26 Jan 1994
13 13 15.0 3 30 1 2.00 3 1 v Sri Lanka Ahmedabad 8 Feb 1994
14 14 28.0 9 45 0 1.60 4 3 v Sri Lanka Ahmedabad 8 Feb 1994
15 15 23.5 7 48 3 2.01 3 2 v West Indies Mumbai 18 Nov 1994
16 16 12.0 1 39 0 3.25 4 4 v West Indies Mumbai 18 Nov 1994
17 17 29.0 3 90 4 3.10 5 1 v West Indies Mohali 10 Dec 1994
18 18 7.0 0 56 0 8.00 3 3 v West Indies Mohali 10 Dec 1994
19 19 18.0 5 39 4 2.16 4 1 v New Zealand Bangalore 18 Oct 1995
20 20 27.2 4 81 5 2.96 3 3 v New Zealand Bangalore 18 Oct 1995
21 21 24.0 7 63 4 2.62 4 1 v Australia Delhi 10 Oct 1996
22 22 41.0 12 67 5 1.63 3 3 v Australia Delhi 10 Oct 1996
23 23 31.0 6 76 2 2.45 3 2 v South Africa Ahmedabad 20 Nov 1996
24 24 12.0 2 34 3 2.83 3 4 v South Africa Ahmedabad 20 Nov 1996
25 25 20.1 1 78 2 3.86 5 1 v South Africa Kolkata 27 Nov 1996
26 26 32.0 4 101 1 3.15 3 3 v South Africa Kolkata 27 Nov 1996
27 27 27.0 2 71 4 2.62 3 2 v South Africa Kanpur 8 Dec 1996
28 28 24.0 11 27 1 1.12 3 4 v South Africa Kanpur 8 Dec 1996
29 29 45.0 10 103 4 2.28 3 2 v Australia Chennai 6 Mar 1998
30 30 22.5 7 46 4 2.01 4 4 v Australia Chennai 6 Mar 1998
31 31 28.0 11 44 3 1.57 3 1 v Australia Kolkata 18 Mar 1998
32 32 31.0 10 62 5 2.00 3 3 v Australia Kolkata 18 Mar 1998
33 33 41.3 8 98 6 2.36 3 2 v Australia Bangalore 25 Mar 1998
34 34 22.4 5 63 1 2.77 2 4 v Australia Bangalore 25 Mar 1998
35 35 24.5 7 70 6 2.81 3 1 v Pakistan Chennai 28 Jan 1999
36 36 22.0 4 93 1 4.22 3 3 v Pakistan Chennai 28 Jan 1999
37 37 24.3 4 75 4 3.06 4 2 v Pakistan Delhi 4 Feb 1999
38 38 26.3 9 74 10 2.79 3 4 v Pakistan Delhi 4 Feb 1999
39 39 19.2 8 48 1 2.48 4 1 v Pakistan Kolkata 16 Feb 1999
40 40 27.0 4 91 0 3.37 3 3 v Pakistan Kolkata 16 Feb 1999
41 41 32.5 12 67 4 2.04 3 1 v New Zealand Kanpur 22 Oct 1999
42 42 26.5 5 67 6 2.49 3 3 v New Zealand Kanpur 22 Oct 1999
43 43 22.0 1 62 2 2.81 3 2 v South Africa Mumbai 24 Feb 2000
44 44 28.0 12 56 4 2.00 3 4 v South Africa Mumbai 24 Feb 2000
45 45 68.4 15 143 6 2.08 2 2 v South Africa Bangalore 2 Mar 2000
46 46 19.0 6 52 2 2.73 4 1 v England Mohali 3 Dec 2001
47 47 28.4 6 81 6 2.82 3 3 v England Mohali 3 Dec 2001
48 48 33.5 12 82 4 2.42 4 1 v Zimbabwe Nagpur 21 Feb 2002
49 49 37.0 15 63 5 1.70 2 3 v Zimbabwe Nagpur 21 Feb 2002
50 50 34.0 13 88 3 2.58 4 1 v Zimbabwe Delhi 28 Feb 2002
51 51 29.3 8 58 4 1.96 4 3 v Zimbabwe Delhi 28 Feb 2002
52 52 24.5 5 51 4 2.05 4 2 v West Indies Mumbai 9 Oct 2002
53 53 25.0 8 50 3 2.00 5 3 v West Indies Mumbai 9 Oct 2002
54 54 23.3 10 30 5 1.27 5 1 v West Indies Chennai 17 Oct 2002
55 55 26.0 3 87 1 3.34 4 3 v West Indies Chennai 17 Oct 2002
56 56 39.0 4 157 3 4.02 4 1 v Australia Bangalore 6 Oct 2004
57 57 23.0 4 64 2 2.78 4 3 v Australia Bangalore 6 Oct 2004
58 58 25.0 6 99 2 3.96 3 1 v Australia Nagpur 26 Oct 2004
59 59 21.0 1 89 1 4.23 3 3 v Australia Nagpur 26 Oct 2004
60 60 19.0 0 90 5 4.73 3 2 v Australia Mumbai 3 Nov 2004
61 61 6.0 3 5 1 0.83 4 4 v Australia Mumbai 3 Nov 2004
62 62 30.0 6 76 1 2.53 3 1 v South Africa Kolkata 28 Nov 2004
63 63 34.4 7 82 3 2.36 3 3 v South Africa Kolkata 28 Nov 2004
64 64 37.1 11 98 3 2.63 3 2 v Pakistan Kolkata 16 Mar 2005
65 65 38.0 16 63 7 1.65 3 4 v Pakistan Kolkata 16 Mar 2005
66 66 46.0 8 159 0 3.45 3 1 v Pakistan Bangalore 24 Mar 2005
67 67 21.0 1 88 1 4.19 3 3 v Pakistan Bangalore 24 Mar 2005
68 68 28.0 6 72 6 2.57 3 2 v Sri Lanka Delhi 10 Dec 2005
69 69 36.0 7 85 4 2.36 3 4 v Sri Lanka Delhi 10 Dec 2005
70 70 25.0 3 87 2 3.48 3 2 v Sri Lanka Ahmedabad 18 Dec 2005
71 71 34.3 9 89 5 2.57 4 4 v Sri Lanka Ahmedabad 18 Dec 2005
72 72 29.4 8 76 5 2.56 5 1 v England Mohali 9 Mar 2006
73 73 29.0 7 70 4 2.41 4 3 v England Mohali 9 Mar 2006
74 74 39.0 7 84 1 2.15 4 1 v England Mumbai 18 Mar 2006
75 75 30.4 13 49 4 1.59 4 3 v England Mumbai 18 Mar 2006
76 76 21.2 6 38 4 1.78 3 1 v Pakistan Delhi 22 Nov 2007
77 77 27.1 8 68 3 2.50 3 3 v Pakistan Delhi 22 Nov 2007
78 78 33.0 2 78 1 2.36 5 2 v South Africa Ahmedabad 3 Apr 2008
cricketr documentation built on March 23, 2021, 9:06 a.m.
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Description Usage Arguments Details Value Note Author(s) References See Also Examples
View source: R/cleanBowlerData.R
Description
Clean the bowler's CSV fileand remove rows DNB(Did not bowl) & TDNB (Team did not bowl). Also normalize all 8 ball over to a 6 ball over for earlier bowlers
Usage
1 |
Arguments
file |
The <bowler>.csv file |
Details
More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI
Value
A cleaned bowler data frame with complete cases
Note
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>
Author(s)
Tinniam V Ganesh
References
https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
# Get bowling data and store in file for future
# kumble <- getPlayerData(30176,dir="./mytest", file="kumble.csv",type="bowling",
# homeOrAway=c(1),result=c(1,2))
pathToFile <- system.file("data", "kumble.csv", package = "cricketr")
cleanBowlerData(pathToFile)
# Note: This example uses the file kumble.csv from the /data directory. However
# you can use any directory as long as the data file exists in that directory.
## End(Not run)
|
Example output
X Overs Mdns Runs Wkts Econ Pos Inns Opposition Ground Start.Date
1 1 29.0 8 50 3 1.72 3 2 v England Kolkata 29 Jan 1993
2 2 40.0 16 76 3 1.90 3 3 v England Kolkata 29 Jan 1993
3 3 25.0 9 61 2 2.44 2 2 v England Chennai 11 Feb 1993
4 4 21.0 7 64 6 3.04 5 3 v England Chennai 11 Feb 1993
5 5 40.0 4 95 3 2.37 4 1 v England Mumbai 19 Feb 1993
6 6 26.0 9 70 4 2.69 3 3 v England Mumbai 19 Feb 1993
7 7 43.0 12 90 3 2.09 4 2 v Zimbabwe Delhi 13 Mar 1993
8 8 38.5 16 70 5 1.80 4 3 v Zimbabwe Delhi 13 Mar 1993
9 9 37.0 10 69 4 1.86 4 2 v Sri Lanka Lucknow 18 Jan 1994
10 10 27.3 9 59 7 2.14 4 3 v Sri Lanka Lucknow 18 Jan 1994
11 11 13.0 2 50 3 3.84 3 2 v Sri Lanka Bangalore 26 Jan 1994
12 12 16.0 3 64 3 4.00 3 3 v Sri Lanka Bangalore 26 Jan 1994
13 13 15.0 3 30 1 2.00 3 1 v Sri Lanka Ahmedabad 8 Feb 1994
14 14 28.0 9 45 0 1.60 4 3 v Sri Lanka Ahmedabad 8 Feb 1994
15 15 23.5 7 48 3 2.01 3 2 v West Indies Mumbai 18 Nov 1994
16 16 12.0 1 39 0 3.25 4 4 v West Indies Mumbai 18 Nov 1994
17 17 29.0 3 90 4 3.10 5 1 v West Indies Mohali 10 Dec 1994
18 18 7.0 0 56 0 8.00 3 3 v West Indies Mohali 10 Dec 1994
19 19 18.0 5 39 4 2.16 4 1 v New Zealand Bangalore 18 Oct 1995
20 20 27.2 4 81 5 2.96 3 3 v New Zealand Bangalore 18 Oct 1995
21 21 24.0 7 63 4 2.62 4 1 v Australia Delhi 10 Oct 1996
22 22 41.0 12 67 5 1.63 3 3 v Australia Delhi 10 Oct 1996
23 23 31.0 6 76 2 2.45 3 2 v South Africa Ahmedabad 20 Nov 1996
24 24 12.0 2 34 3 2.83 3 4 v South Africa Ahmedabad 20 Nov 1996
25 25 20.1 1 78 2 3.86 5 1 v South Africa Kolkata 27 Nov 1996
26 26 32.0 4 101 1 3.15 3 3 v South Africa Kolkata 27 Nov 1996
27 27 27.0 2 71 4 2.62 3 2 v South Africa Kanpur 8 Dec 1996
28 28 24.0 11 27 1 1.12 3 4 v South Africa Kanpur 8 Dec 1996
29 29 45.0 10 103 4 2.28 3 2 v Australia Chennai 6 Mar 1998
30 30 22.5 7 46 4 2.01 4 4 v Australia Chennai 6 Mar 1998
31 31 28.0 11 44 3 1.57 3 1 v Australia Kolkata 18 Mar 1998
32 32 31.0 10 62 5 2.00 3 3 v Australia Kolkata 18 Mar 1998
33 33 41.3 8 98 6 2.36 3 2 v Australia Bangalore 25 Mar 1998
34 34 22.4 5 63 1 2.77 2 4 v Australia Bangalore 25 Mar 1998
35 35 24.5 7 70 6 2.81 3 1 v Pakistan Chennai 28 Jan 1999
36 36 22.0 4 93 1 4.22 3 3 v Pakistan Chennai 28 Jan 1999
37 37 24.3 4 75 4 3.06 4 2 v Pakistan Delhi 4 Feb 1999
38 38 26.3 9 74 10 2.79 3 4 v Pakistan Delhi 4 Feb 1999
39 39 19.2 8 48 1 2.48 4 1 v Pakistan Kolkata 16 Feb 1999
40 40 27.0 4 91 0 3.37 3 3 v Pakistan Kolkata 16 Feb 1999
41 41 32.5 12 67 4 2.04 3 1 v New Zealand Kanpur 22 Oct 1999
42 42 26.5 5 67 6 2.49 3 3 v New Zealand Kanpur 22 Oct 1999
43 43 22.0 1 62 2 2.81 3 2 v South Africa Mumbai 24 Feb 2000
44 44 28.0 12 56 4 2.00 3 4 v South Africa Mumbai 24 Feb 2000
45 45 68.4 15 143 6 2.08 2 2 v South Africa Bangalore 2 Mar 2000
46 46 19.0 6 52 2 2.73 4 1 v England Mohali 3 Dec 2001
47 47 28.4 6 81 6 2.82 3 3 v England Mohali 3 Dec 2001
48 48 33.5 12 82 4 2.42 4 1 v Zimbabwe Nagpur 21 Feb 2002
49 49 37.0 15 63 5 1.70 2 3 v Zimbabwe Nagpur 21 Feb 2002
50 50 34.0 13 88 3 2.58 4 1 v Zimbabwe Delhi 28 Feb 2002
51 51 29.3 8 58 4 1.96 4 3 v Zimbabwe Delhi 28 Feb 2002
52 52 24.5 5 51 4 2.05 4 2 v West Indies Mumbai 9 Oct 2002
53 53 25.0 8 50 3 2.00 5 3 v West Indies Mumbai 9 Oct 2002
54 54 23.3 10 30 5 1.27 5 1 v West Indies Chennai 17 Oct 2002
55 55 26.0 3 87 1 3.34 4 3 v West Indies Chennai 17 Oct 2002
56 56 39.0 4 157 3 4.02 4 1 v Australia Bangalore 6 Oct 2004
57 57 23.0 4 64 2 2.78 4 3 v Australia Bangalore 6 Oct 2004
58 58 25.0 6 99 2 3.96 3 1 v Australia Nagpur 26 Oct 2004
59 59 21.0 1 89 1 4.23 3 3 v Australia Nagpur 26 Oct 2004
60 60 19.0 0 90 5 4.73 3 2 v Australia Mumbai 3 Nov 2004
61 61 6.0 3 5 1 0.83 4 4 v Australia Mumbai 3 Nov 2004
62 62 30.0 6 76 1 2.53 3 1 v South Africa Kolkata 28 Nov 2004
63 63 34.4 7 82 3 2.36 3 3 v South Africa Kolkata 28 Nov 2004
64 64 37.1 11 98 3 2.63 3 2 v Pakistan Kolkata 16 Mar 2005
65 65 38.0 16 63 7 1.65 3 4 v Pakistan Kolkata 16 Mar 2005
66 66 46.0 8 159 0 3.45 3 1 v Pakistan Bangalore 24 Mar 2005
67 67 21.0 1 88 1 4.19 3 3 v Pakistan Bangalore 24 Mar 2005
68 68 28.0 6 72 6 2.57 3 2 v Sri Lanka Delhi 10 Dec 2005
69 69 36.0 7 85 4 2.36 3 4 v Sri Lanka Delhi 10 Dec 2005
70 70 25.0 3 87 2 3.48 3 2 v Sri Lanka Ahmedabad 18 Dec 2005
71 71 34.3 9 89 5 2.57 4 4 v Sri Lanka Ahmedabad 18 Dec 2005
72 72 29.4 8 76 5 2.56 5 1 v England Mohali 9 Mar 2006
73 73 29.0 7 70 4 2.41 4 3 v England Mohali 9 Mar 2006
74 74 39.0 7 84 1 2.15 4 1 v England Mumbai 18 Mar 2006
75 75 30.4 13 49 4 1.59 4 3 v England Mumbai 18 Mar 2006
76 76 21.2 6 38 4 1.78 3 1 v Pakistan Delhi 22 Nov 2007
77 77 27.1 8 68 3 2.50 3 3 v Pakistan Delhi 22 Nov 2007
78 78 33.0 2 78 1 2.36 5 2 v South Africa Ahmedabad 3 Apr 2008
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