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

PW Swing Stats

Overview

Averages based on 74 shots

Carry Yds108
Total Yds117
Offline Yds1
Ball Speed MPH85
Launch Angle25
Shot ShapeSTRAIGHT
Total Spin RPM6664
Peak Height Yds22

Reproduction

Analysis started2021-06-07 15:30:19.816143
Analysis finished2021-06-07 15:30:28.638132
Duration8.82 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 1 other fieldsHigh correlation
Ball Speed MPH is highly correlated with Carry Yds and 1 other fieldsHigh correlation
Total Yds is highly correlated with Carry Yds and 1 other fieldsHigh correlation
Carry Yds is highly correlated with Total Yds and 1 other fieldsHigh correlation
Ball Speed MPH is highly correlated with Carry Yds and 1 other fieldsHigh 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 YdsHigh correlation
Shot Result is highly correlated with Offline YdsHigh correlation
Offline Yds is highly correlated with Shot ResultHigh correlation
Offline Yds has 1 (1.4%) zeros Zeros

Variables

Carry Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean108
Minimum63
Maximum132

Quantile statistics

Minimum63
5-th percentile84.22
Q1100.525
median111.35
Q3117.1
95-th percentile126.355
Maximum132
Range69
Interquartile range (IQR)16.575

Descriptive statistics

Standard deviation13.446253
Coefficient of variation (CV)0.1245023426
Kurtosis0.6626386805
Mean108
Median Absolute Deviation (MAD)8.65
Skewness-0.7770821937
Sum8046.3
Variance180.8017197
Histogram with fixed size bins (bins=10)

Total Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean117
Minimum77
Maximum140

Quantile statistics

Minimum77
5-th percentile96.6
Q1109.6
median119.55
Q3125.625
95-th percentile134.905
Maximum140
Range63
Interquartile range (IQR)16.025

Descriptive statistics

Standard deviation12.4799035
Coefficient of variation (CV)0.1066658419
Kurtosis0.2967733547
Mean117
Median Absolute Deviation (MAD)7.7
Skewness-0.6468687776
Sum8703.1
Variance155.7479915
Histogram with fixed size bins (bins=10)

Offline Yds

HIGH CORRELATION
ZEROS

Mean1
Minimum-32
Maximum51

Quantile statistics

Minimum-32
5-th percentile-16.535
Q1-6.05
median-0.75
Q34.1
95-th percentile31.135
Maximum51
Range83
Interquartile range (IQR)10.15

Descriptive statistics

Standard deviation14.23899485
Coefficient of variation (CV)14.23899485
Kurtosis3.336101438
Mean1
Median Absolute Deviation (MAD)5.15
Skewness1.339503773
Sum95.6
Variance202.7489745
Histogram with fixed size bins (bins=10)

Shot Result
Categorical

HIGH CORRELATION

Most Common Shot ResultSTRAIGHT
STRAIGHT
53
SLICE
 
6
PUSH
 
6
DRAW
 
4
PULL
 
3
ValueCountFrequency (%) 
STRAIGHT5371.6%
 
SLICE68.1%
 
PUSH68.1%
 
DRAW45.4%
 
PULL34.1%
 
HOOK22.7%
 

Ball Speed MPH

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean85
Minimum66
Maximum100

Quantile statistics

Minimum66
5-th percentile73.33
Q181.125
median86.2
Q390.525
95-th percentile95.65
Maximum100
Range34
Interquartile range (IQR)9.4

Descriptive statistics

Standard deviation7.212456829
Coefficient of variation (CV)0.08485243328
Kurtosis-0.2957238135
Mean85
Median Absolute Deviation (MAD)4.45
Skewness-0.3974178571
Sum6332.4
Variance52.01953351
Histogram with fixed size bins (bins=10)

Launch Angle

Mean25
Minimum15
Maximum32

Quantile statistics

Minimum15
5-th percentile21.795
Q124.35
median25.6
Q327.3
95-th percentile30.105
Maximum32
Range17
Interquartile range (IQR)2.95

Descriptive statistics

Standard deviation2.853020834
Coefficient of variation (CV)0.1141208334
Kurtosis1.666052251
Mean25
Median Absolute Deviation (MAD)1.65
Skewness-0.3543725917
Sum1904.9
Variance8.139727879
Histogram with fixed size bins (bins=10)

Total Spin RPM

Mean6664
Minimum4620
Maximum8225

Quantile statistics

Minimum4620
5-th percentile5188.75
Q16248.75
median6687.5
Q37218.75
95-th percentile7813
Maximum8225
Range3605
Interquartile range (IQR)970

Descriptive statistics

Standard deviation786.8596196
Coefficient of variation (CV)0.1180761734
Kurtosis0.05086250142
Mean6664
Median Absolute Deviation (MAD)465
Skewness-0.3926231807
Sum493175
Variance619148.0609
Histogram with fixed size bins (bins=10)

Peak Height Yds

Mean22
Minimum7
Maximum30

Quantile statistics

Minimum7
5-th percentile14.25
Q120.15
median22.75
Q325.75
95-th percentile28.2
Maximum30
Range23
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation4.594665548
Coefficient of variation (CV)0.208848434
Kurtosis1.601805629
Mean22
Median Absolute Deviation (MAD)2.95
Skewness-1.083053788
Sum1657.4
Variance21.1109515
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
69105.4114.1-6.1STRAIGHT82.330.0574024.4
7098.5109.0-0.6STRAIGHT78.830.3605022.5
71100.3106.817.5PUSH81.830.9765025.2
7288.798.13.9STRAIGHT73.032.3507520.5
7398.6107.2-1.9STRAIGHT78.932.5562524.6

Random sample

Carry YdsTotal YdsOffline YdsShot ResultBall Speed MPHLaunch AngleTotal Spin RPMPeak Height Yds
36114.4123.30.0STRAIGHT87.925.6632523.6
3093.9103.121.3SLICE77.625.2680017.1
62102.7109.39.0STRAIGHT82.728.7775023.9
69105.4114.1-6.1STRAIGHT82.330.0574024.4
7098.5109.0-0.6STRAIGHT78.830.3605022.5