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

9i Swing Stats

Overview

Averages based on 45 shots

Carry Yds130
Total Yds140
Offline Yds-4
Ball Speed MPH96
Launch Angle23
Shot ShapeSTRAIGHT
Total Spin RPM6158
Peak Height Yds26

Reproduction

Analysis started2021-06-07 15:29:52.803776
Analysis finished2021-06-07 15:30:01.449294
Duration8.65 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
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
Carry Yds is highly correlated with Ball Speed MPHHigh correlation

Variables

Carry Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean130
Minimum92
Maximum173

Quantile statistics

Minimum92
5-th percentile116.18
Q1125.7
median129.6
Q3134.3
95-th percentile160.1
Maximum173
Range81
Interquartile range (IQR)8.6

Descriptive statistics

Standard deviation13.30519303
Coefficient of variation (CV)0.1023476387
Kurtosis4.84851545
Mean130
Median Absolute Deviation (MAD)4.7
Skewness1.132177265
Sum5868.7
Variance177.0281616
Histogram with fixed size bins (bins=10)

Total Yds

HIGH CORRELATION
HIGH CORRELATION

Mean140
Minimum105
Maximum187

Quantile statistics

Minimum105
5-th percentile126.3
Q1135.2
median138.6
Q3142.2
95-th percentile174.58
Maximum187
Range82
Interquartile range (IQR)7

Descriptive statistics

Standard deviation14.02608609
Coefficient of variation (CV)0.1001863292
Kurtosis5.460366391
Mean140
Median Absolute Deviation (MAD)3.6
Skewness1.680618041
Sum6312.3
Variance196.7310909
Histogram with fixed size bins (bins=10)

Offline Yds

HIGH CORRELATION

Mean-4
Minimum-32
Maximum42

Quantile statistics

Minimum-32
5-th percentile-30.38
Q1-16.3
median-5
Q34
95-th percentile16.34
Maximum42
Range74
Interquartile range (IQR)20.3

Descriptive statistics

Standard deviation15.47682954
Coefficient of variation (CV)-3.869207384
Kurtosis0.6963154713
Mean-4
Median Absolute Deviation (MAD)9.3
Skewness0.3303655005
Sum-211.7
Variance239.5322525
Histogram with fixed size bins (bins=10)

Shot Result
Categorical

HIGH CORRELATION

Most Common Shot ResultSTRAIGHT
STRAIGHT
23
PULL
8
PUSH
5
HOOK
 
4
DRAW
 
3
ValueCountFrequency (%) 
STRAIGHT2351.1%
 
PULL817.8%
 
PUSH511.1%
 
HOOK48.9%
 
DRAW36.7%
 
SLICE24.4%
 

Ball Speed MPH

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean96
Minimum75
Maximum118

Quantile statistics

Minimum75
5-th percentile88.78
Q193.9
median96.7
Q399.1
95-th percentile108.94
Maximum118
Range43
Interquartile range (IQR)5.2

Descriptive statistics

Standard deviation6.7527974
Coefficient of variation (CV)0.07034163958
Kurtosis4.288382995
Mean96
Median Absolute Deviation (MAD)2.4
Skewness0.4714890792
Sum4356.6
Variance45.60027273
Histogram with fixed size bins (bins=10)

Launch Angle

Mean23
Minimum16
Maximum27

Quantile statistics

Minimum16
5-th percentile17.48
Q122.1
median23.9
Q324.8
95-th percentile25.84
Maximum27
Range11
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation2.431236124
Coefficient of variation (CV)0.1057059184
Kurtosis1.757058484
Mean23
Median Absolute Deviation (MAD)1.1
Skewness-1.326818053
Sum1045.5
Variance5.910909091
Histogram with fixed size bins (bins=10)

Total Spin RPM

Mean6158
Minimum3650
Maximum7335

Quantile statistics

Minimum3650
5-th percentile4516
Q15865
median6350
Q36775
95-th percentile7020
Maximum7335
Range3685
Interquartile range (IQR)910

Descriptive statistics

Standard deviation844.3891163
Coefficient of variation (CV)0.137120675
Kurtosis1.217409569
Mean6158
Median Absolute Deviation (MAD)450
Skewness-1.283184179
Sum277130
Variance712992.9798
Histogram with fixed size bins (bins=10)

Peak Height Yds

Mean26
Minimum14
Maximum33

Quantile statistics

Minimum14
5-th percentile20.4
Q124.1
median26
Q328.5
95-th percentile31.24
Maximum33
Range19
Interquartile range (IQR)4.4

Descriptive statistics

Standard deviation3.583231147
Coefficient of variation (CV)0.1378165826
Kurtosis1.553269727
Mean26
Median Absolute Deviation (MAD)2.1
Skewness-0.7653320415
Sum1173
Variance12.83954545
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
40138.0141.5-5.6STRAIGHT101.923.7680030.4
41138.1146.74.0STRAIGHT102.325.4665033.0
42165.6181.3-6.1STRAIGHT110.617.8365025.3
43168.9183.3-24.4PULL114.916.4448526.0
44173.9187.3-16.6PULL118.316.7486028.9

Random sample

Carry YdsTotal YdsOffline YdsShot ResultBall Speed MPHLaunch AngleTotal Spin RPMPeak Height Yds
10124.0133.310.1PUSH93.425.6635027.0
7121.1129.7-1.1STRAIGHT92.123.9686524.4
34135.1145.5-21.0PULL99.124.1588528.5
3116.5126.70.5STRAIGHT88.625.6581523.9
25130.1140.5-16.3PULL96.023.5575025.9