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Data Exploration
Thoroughbred Horse Racing
N RAMACHANDRAN
Transform Qualitative Variables to Quantitative
• Transforming the qualitative variables which have a significant impact
on the handle :
1.Race_Type:dummy_allowance , dummy_handicap , dummy_stakes , dummy_maiden ,
dummy_starters,dummy_claiming
2.Age Restriction:dummy_is2allowed , dummy_is3allowed, dummy_is4allowed,
dummy_is5allowed, dummy_isg5allowed
3.Surface : dummy_dirt , dummy_turf
4.Track Id:dummy_AD ,dummy_CD , dummy_CRC, dummy_FG
Derived Variables
• Hour of race : Getting the hour of race in 24hr format
• Day of race : Getting the day of the week (1: Sunday , 7: Saturday)
• Month of race :Gettting the month of the race(1:Jan , 12:Dec)
Summary Statistics
• No missing values .Some of the data not available for
conditions_of_races , sex_restriction are assumed to mean that there
are no conditions or restrictions and hence the field is blank.
• Proc means and proc freq data on the expected lines .Nothing
unusual to be reported from the data.
Graphical Analysis
• Compared different independent variables to the dependent variable
handle and generated some charts.
0 100000 200000 300000 400000 500000 600000
1
2
3
4
5
6
7
HANDLE
DAYOFWEEK
Average Handle vs Day of Week
• The data below shows that the average handle peaks on Wed , Fri and
Sat.(Sun =1 and Sat=7)
0
500000
1000000
1500000
2000000
2500000
3000000
3500000
4000000
4500000
5000000
7000
10000
13000
16000
19000
22000
24500
27500
30500
33500
36500
40000
43500
46500
48300
50000
52500
55000
59500
61500
65000
68200
75000
125000
400000
Handle
Purse_USA
Average Handle vs Purse_USA
• There is a steep increase in the Handle when the total prize money
increases above 125000.
0
100000
200000
300000
400000
500000
600000
700000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Handle
Race No
Average Handle vs Race No
• The average handle increases with the no of races till the race no 10
or 11.The client is advised to restrict the number of races to 11.For
the cases of more than 11 races in a day , the returns are not that
great.Race no 15 is an outlier .
Average Handle vs No of runners
• The average handle increases from no of runners from 4 to 12 and the
client is suggested to keep this range to maximize profits.
0
100000
200000
300000
400000
500000
600000
700000
800000
900000
1000000
3 4 5 6 7 8 9 10 11 12 13 14
HANDLE
No of Runners
0
200000
400000
600000
800000
1000000
1200000
11 12 13 14 15 16 17 18 19 20
HANDLE
Hour of Day
Average Handle vs Hour of day
• The data shows a significant high value of the handle where the 1st
race are in the range 11-12 pm and the last race occurs in the time 7-
8 pm. The client can be suggested to schedule the races as such.
Handle Value Graph
• All the high values of the handle look like an outlier but the reason
behind them is that they are mostly placed on the weekends (ie on
holidays)
0
1000000
2000000
3000000
4000000
5000000
6000000
1
177
353
529
705
881
1057
1233
1409
1585
1761
1937
2113
2289
2465
2641
2817
2993
3169
3345
3521
3697
3873
4049
4225
4401
4577
4753
4929
5105
5281
5457
5633
5809
5985
6161
6337
6513
6689
6865
7041
7217
7393
7569
7745
7921
8097
8273
8449
8625
8801
8977
9153
9329
9505
9681
9857
10033
10209
10385
10561
handle
Handle vs Track Id
• From data it can be inferred that the average handle at Churchill
Downs in the state Kentucy is significantly greater than its peers.
0
100000
200000
300000
400000
500000
600000
700000
800000
900000
AP CD CRC FG
Count of handle
Average of handle2
Anomaly Detection
• In the handle graph(11th slide) , there are some spikes in the values
which turnout to be weekends when high transaction handle occurs ,
so could not be termed as an outlier.
• There is only one day(26-Oct-04) where we have no of races =15 , so
that can be an outlier .
Suggestions for client(Summary)
• As described in the few graphs and histograms , some of the things
the client should take into account are :
• 1.Wed , Fri , Sat , Sun : are the highest gross handle days in a week.
• 2.Steep increase in handle when the purse is higher than 150000$.
• 3.Restrict the no of races to 11/day.
• 4.Average handle increases when the no of runners are in 4-12 range.
• 5.Value of the handle is significantly high if the first race is in 11-12pm
and the last in 7-8pm range.

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Data exploration assignment ppt

  • 1. Data Exploration Thoroughbred Horse Racing N RAMACHANDRAN
  • 2. Transform Qualitative Variables to Quantitative • Transforming the qualitative variables which have a significant impact on the handle : 1.Race_Type:dummy_allowance , dummy_handicap , dummy_stakes , dummy_maiden , dummy_starters,dummy_claiming 2.Age Restriction:dummy_is2allowed , dummy_is3allowed, dummy_is4allowed, dummy_is5allowed, dummy_isg5allowed 3.Surface : dummy_dirt , dummy_turf 4.Track Id:dummy_AD ,dummy_CD , dummy_CRC, dummy_FG
  • 3. Derived Variables • Hour of race : Getting the hour of race in 24hr format • Day of race : Getting the day of the week (1: Sunday , 7: Saturday) • Month of race :Gettting the month of the race(1:Jan , 12:Dec)
  • 4. Summary Statistics • No missing values .Some of the data not available for conditions_of_races , sex_restriction are assumed to mean that there are no conditions or restrictions and hence the field is blank. • Proc means and proc freq data on the expected lines .Nothing unusual to be reported from the data.
  • 5. Graphical Analysis • Compared different independent variables to the dependent variable handle and generated some charts.
  • 6. 0 100000 200000 300000 400000 500000 600000 1 2 3 4 5 6 7 HANDLE DAYOFWEEK Average Handle vs Day of Week • The data below shows that the average handle peaks on Wed , Fri and Sat.(Sun =1 and Sat=7)
  • 8. 0 100000 200000 300000 400000 500000 600000 700000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Handle Race No Average Handle vs Race No • The average handle increases with the no of races till the race no 10 or 11.The client is advised to restrict the number of races to 11.For the cases of more than 11 races in a day , the returns are not that great.Race no 15 is an outlier .
  • 9. Average Handle vs No of runners • The average handle increases from no of runners from 4 to 12 and the client is suggested to keep this range to maximize profits. 0 100000 200000 300000 400000 500000 600000 700000 800000 900000 1000000 3 4 5 6 7 8 9 10 11 12 13 14 HANDLE No of Runners
  • 10. 0 200000 400000 600000 800000 1000000 1200000 11 12 13 14 15 16 17 18 19 20 HANDLE Hour of Day Average Handle vs Hour of day • The data shows a significant high value of the handle where the 1st race are in the range 11-12 pm and the last race occurs in the time 7- 8 pm. The client can be suggested to schedule the races as such.
  • 11. Handle Value Graph • All the high values of the handle look like an outlier but the reason behind them is that they are mostly placed on the weekends (ie on holidays) 0 1000000 2000000 3000000 4000000 5000000 6000000 1 177 353 529 705 881 1057 1233 1409 1585 1761 1937 2113 2289 2465 2641 2817 2993 3169 3345 3521 3697 3873 4049 4225 4401 4577 4753 4929 5105 5281 5457 5633 5809 5985 6161 6337 6513 6689 6865 7041 7217 7393 7569 7745 7921 8097 8273 8449 8625 8801 8977 9153 9329 9505 9681 9857 10033 10209 10385 10561 handle
  • 12. Handle vs Track Id • From data it can be inferred that the average handle at Churchill Downs in the state Kentucy is significantly greater than its peers. 0 100000 200000 300000 400000 500000 600000 700000 800000 900000 AP CD CRC FG Count of handle Average of handle2
  • 13. Anomaly Detection • In the handle graph(11th slide) , there are some spikes in the values which turnout to be weekends when high transaction handle occurs , so could not be termed as an outlier. • There is only one day(26-Oct-04) where we have no of races =15 , so that can be an outlier .
  • 14. Suggestions for client(Summary) • As described in the few graphs and histograms , some of the things the client should take into account are : • 1.Wed , Fri , Sat , Sun : are the highest gross handle days in a week. • 2.Steep increase in handle when the purse is higher than 150000$. • 3.Restrict the no of races to 11/day. • 4.Average handle increases when the no of runners are in 4-12 range. • 5.Value of the handle is significantly high if the first race is in 11-12pm and the last in 7-8pm range.