Diver - Gyap Vej - Pitching Vej - 9 iron - 8 iron - Peven - Sixer

8i Swing Stats

Overview

Averages based on 34 shots

Carry Yds140
Total Yds150
Offline Yds-2
Ball Speed MPH101
Launch Angle20
Shot ShapeSTRAIGHT
Total Spin RPM5462
Peak Height Yds24

Reproduction

Analysis started2021-06-07 15:29:37.965201
Analysis finished2021-06-07 15:29:47.358210
Duration9.39 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Total Yds is highly correlated with Carry Yds and 1 other fieldsHigh correlation
Carry Yds is highly correlated with Total Yds and 2 other fieldsHigh correlation
Ball Speed MPH is highly correlated with Carry Yds and 1 other fieldsHigh correlation
Peak Height Yds is highly correlated with Carry YdsHigh correlation
Total Yds is highly correlated with Carry YdsHigh correlation
Carry Yds is highly correlated with Total Yds and 1 other fieldsHigh correlation
Ball Speed MPH is highly correlated with Carry YdsHigh correlation
Total Yds is highly correlated with Carry YdsHigh correlation
Carry Yds is highly correlated with Total Yds and 1 other fieldsHigh correlation
Shot Result is highly correlated with Offline YdsHigh correlation
Offline Yds is highly correlated with Shot ResultHigh correlation
Ball Speed MPH is highly correlated with Carry YdsHigh correlation
Offline Yds has unique values Unique

Variables

Carry Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean140
Minimum103
Maximum158

Quantile statistics

Minimum103
5-th percentile122.8
Q1132.025
median142.75
Q3147.65
95-th percentile156.81
Maximum158
Range55
Interquartile range (IQR)15.625

Descriptive statistics

Standard deviation11.88754197
Coefficient of variation (CV)0.0849110141
Kurtosis1.15168209
Mean140
Median Absolute Deviation (MAD)8.9
Skewness-0.7923924011
Sum4764.4
Variance141.3136542
Histogram with fixed size bins (bins=10)

Total Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean150
Minimum120
Maximum169

Quantile statistics

Minimum120
5-th percentile137.55
Q1145.375
median152.5
Q3157.85
95-th percentile164.85
Maximum169
Range49
Interquartile range (IQR)12.475

Descriptive statistics

Standard deviation9.997082016
Coefficient of variation (CV)0.06664721344
Kurtosis1.445145925
Mean150
Median Absolute Deviation (MAD)6.35
Skewness-0.6794623012
Sum5128.3
Variance99.94164884
Histogram with fixed size bins (bins=10)

Offline Yds

HIGH CORRELATION
UNIQUE

Mean-2
Minimum-47
Maximum29

Quantile statistics

Minimum-47
5-th percentile-20.67
Q1-12.075
median0
Q37.825
95-th percentile16.125
Maximum29
Range76
Interquartile range (IQR)19.9

Descriptive statistics

Standard deviation14.46121773
Coefficient of variation (CV)-7.230608864
Kurtosis1.635280767
Mean-2
Median Absolute Deviation (MAD)9.15
Skewness-0.6016714793
Sum-83.3
Variance209.1268182
Histogram with fixed size bins (bins=10)

Shot Result
Categorical

HIGH CORRELATION

Most Common Shot ResultSTRAIGHT
STRAIGHT
20
PULL
6
PUSH
 
4
DRAW
 
2
SLICE
 
1
ValueCountFrequency (%) 
STRAIGHT2058.8%
 
PULL617.6%
 
PUSH411.8%
 
DRAW25.9%
 
SLICE12.9%
 
HOOK12.9%
 

Ball Speed MPH

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean101
Minimum83
Maximum111

Quantile statistics

Minimum83
5-th percentile90.775
Q196.825
median103.2
Q3106.025
95-th percentile110.55
Maximum111
Range28
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation6.78019555
Coefficient of variation (CV)0.06713064901
Kurtosis0.119807226
Mean101
Median Absolute Deviation (MAD)5.15
Skewness-0.636511403
Sum3446
Variance45.97105169
Histogram with fixed size bins (bins=10)

Launch Angle

Mean20
Minimum16
Maximum22

Quantile statistics

Minimum16
5-th percentile18.39
Q119.5
median20.2
Q321.175
95-th percentile22.6
Maximum22
Range6
Interquartile range (IQR)1.675

Descriptive statistics

Standard deviation1.397183314
Coefficient of variation (CV)0.06985916569
Kurtosis1.338170848
Mean20
Median Absolute Deviation (MAD)0.9
Skewness-0.5125835339
Sum686.8
Variance1.952121212
Histogram with fixed size bins (bins=10)

Total Spin RPM

Mean5462
Minimum3195
Maximum7135

Quantile statistics

Minimum3195
5-th percentile3506.25
Q15300
median5637.5
Q35863.75
95-th percentile6447
Maximum7135
Range3940
Interquartile range (IQR)563.75

Descriptive statistics

Standard deviation864.4425733
Coefficient of variation (CV)0.1582648432
Kurtosis1.733227275
Mean5462
Median Absolute Deviation (MAD)305
Skewness-1.152907227
Sum185720
Variance747260.9626
Histogram with fixed size bins (bins=10)

Peak Height Yds

HIGH CORRELATION

Mean24
Minimum13
Maximum32

Quantile statistics

Minimum13
5-th percentile17.43
Q121.75
median25.2
Q328.2
95-th percentile29.3
Maximum32
Range19
Interquartile range (IQR)6.45

Descriptive statistics

Standard deviation4.204984946
Coefficient of variation (CV)0.1752077061
Kurtosis0.2013768707
Mean24
Median Absolute Deviation (MAD)3.2
Skewness-0.7196768943
Sum839.3
Variance17.6818984
Histogram with fixed size bins (bins=10)

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Sample

Last rows

Carry YdsTotal YdsOffline YdsShot ResultBall Speed MPHLaunch AngleTotal Spin RPMPeak Height Yds
29145.2159.0-14.8DRAW103.018.9516523.4
30131.8145.1-9.9STRAIGHT95.620.3473020.9
31122.8135.65.5STRAIGHT92.019.3525018.2
32133.8146.29.8STRAIGHT96.921.8543524.1
33133.2144.39.5STRAIGHT97.021.2577523.6

Random sample

Carry YdsTotal YdsOffline YdsShot ResultBall Speed MPHLaunch AngleTotal Spin RPMPeak Height Yds
8146.7152.8-4.0STRAIGHT105.219.6580026.4
2128.6139.08.8STRAIGHT95.222.6578524.4
10151.1163.1-47.0HOOK108.319.3550026.4
16156.5160.9-4.9STRAIGHT109.919.8545029.3
23131.3146.8-15.6PULL94.221.1380020.5