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

AW Swing Stats

Overview

Averages based on 39 shots

Carry Yds101
Total Yds109
Offline Yds0
Ball Speed MPH81
Launch Angle28
Shot ShapeSTRAIGHT
Total Spin RPM6596
Peak Height Yds23

Reproduction

Analysis started2021-06-07 15:30:05.740137
Analysis finished2021-06-07 15:30:15.061154
Duration9.32 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 Yds and 2 other fieldsHigh 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
Ball Speed MPH is highly correlated with Total YdsHigh correlation
Peak Height Yds is highly correlated with Total YdsHigh correlation
Offline Yds has unique values Unique

Variables

Carry Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean101
Minimum58
Maximum117

Quantile statistics

Minimum58
5-th percentile87.04
Q199.1
median103
Q3107.05
95-th percentile111.83
Maximum117
Range59
Interquartile range (IQR)7.95

Descriptive statistics

Standard deviation10.54668114
Coefficient of variation (CV)0.1044225856
Kurtosis6.952945778
Mean101
Median Absolute Deviation (MAD)4.1
Skewness-2.239527781
Sum3952.3
Variance111.2324831
Histogram with fixed size bins (bins=10)

Total Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean109
Minimum75
Maximum125

Quantile statistics

Minimum75
5-th percentile95.16
Q1106.3
median110.7
Q3115
95-th percentile119.46
Maximum125
Range50
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation9.527576284
Coefficient of variation (CV)0.08740895674
Kurtosis4.294025346
Mean109
Median Absolute Deviation (MAD)4.5
Skewness-1.744677557
Sum4265.5
Variance90.77470985
Histogram with fixed size bins (bins=10)

Offline Yds

HIGH CORRELATION
UNIQUE

Mean0
Minimum-21
Maximum44

Quantile statistics

Minimum-21
5-th percentile-12.79
Q1-8.15
median-2.5
Q32.55
95-th percentile21.27
Maximum44
Range65
Interquartile range (IQR)10.7

Descriptive statistics

Standard deviation12.67319208
Coefficient of variation (CV)nan
Kurtosis4.345048316
Mean0
Median Absolute Deviation (MAD)5.6
Skewness1.735418619
Sum-21.9
Variance160.6097976
Histogram with fixed size bins (bins=10)

Shot Result
Categorical

HIGH CORRELATION

Most Common Shot ResultSTRAIGHT
STRAIGHT
29
DRAW
 
3
PUSH
 
3
PULL
 
2
SLICE
 
2
ValueCountFrequency (%) 
STRAIGHT2974.4%
 
DRAW37.7%
 
PUSH37.7%
 
PULL25.1%
 
SLICE25.1%
 

Ball Speed MPH

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean81
Minimum64
Maximum90

Quantile statistics

Minimum64
5-th percentile73.2
Q179
median82.4
Q385
95-th percentile87.44
Maximum90
Range26
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.372199393
Coefficient of variation (CV)0.06632344929
Kurtosis2.584773794
Mean81
Median Absolute Deviation (MAD)2.9
Skewness-1.378156698
Sum3182.4
Variance28.86052632
Histogram with fixed size bins (bins=10)

Launch Angle

Mean28
Minimum19
Maximum35

Quantile statistics

Minimum19
5-th percentile23.6
Q127.35
median28.8
Q331
95-th percentile33.34
Maximum35
Range16
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation3.179858169
Coefficient of variation (CV)0.1135663632
Kurtosis1.715079632
Mean28
Median Absolute Deviation (MAD)1.6
Skewness-0.7268582526
Sum1121.4
Variance10.11149798
Histogram with fixed size bins (bins=10)

Total Spin RPM

Mean6596
Minimum4405
Maximum8230

Quantile statistics

Minimum4405
5-th percentile4790.5
Q16020
median6750
Q37350
95-th percentile7773.5
Maximum8230
Range3825
Interquartile range (IQR)1330

Descriptive statistics

Standard deviation953.7624373
Coefficient of variation (CV)0.1445970948
Kurtosis-0.2538756125
Mean6596
Median Absolute Deviation (MAD)625
Skewness-0.608426936
Sum257255
Variance909662.7868
Histogram with fixed size bins (bins=10)

Peak Height Yds

HIGH CORRELATION

Mean23
Minimum6
Maximum29

Quantile statistics

Minimum6
5-th percentile16.84
Q121.6
median23.5
Q325.4
95-th percentile28.21
Maximum29
Range23
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation4.144418877
Coefficient of variation (CV)0.1801921251
Kurtosis6.622170335
Mean23
Median Absolute Deviation (MAD)2
Skewness-2.021760053
Sum899.2
Variance17.17620783
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
34108.0115.2-2.5STRAIGHT86.132.1665529.3
35107.7114.5-1.6STRAIGHT85.628.5762525.5
36103.0110.71.7STRAIGHT83.033.3622528.3
37105.3112.93.5STRAIGHT84.231.5671527.4
38106.8114.06.9STRAIGHT85.131.6663528.2

Random sample

Carry YdsTotal YdsOffline YdsShot ResultBall Speed MPHLaunch AngleTotal Spin RPMPeak Height Yds
27117.1125.3-8.0STRAIGHT90.423.9760023.7
1199.8109.2-10.6DRAW79.529.5552522.2
35107.7114.5-1.6STRAIGHT85.628.5762525.5
16102.3105.12.0STRAIGHT81.927.1725021.7
32110.4117.9-5.4STRAIGHT86.928.7721526.5