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

6i Swing Stats

Overview

Averages based on 107 shots

Carry Yds152
Total Yds169
Offline Yds6
Ball Speed MPH107
Launch Angle16
Shot ShapeSLICE
Total Spin RPM4178
Peak Height Yds28

Reproduction

Analysis started2021-06-07 15:28:44.921591
Analysis finished2021-06-07 15:28:59.125927
Duration14.2 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 YdsHigh correlation
Carry Yds is highly correlated with Total 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
Shot Result is highly correlated with Offline YdsHigh correlation
Offline Yds is highly correlated with Shot ResultHigh correlation

Variables

Carry Yds

HIGH CORRELATION
HIGH CORRELATION

Mean152
Minimum61
Maximum180

Quantile statistics

Minimum61
5-th percentile116.1
Q1146.15
median156.8
Q3166.3
95-th percentile173.11
Maximum180
Range119
Interquartile range (IQR)20.15

Descriptive statistics

Standard deviation20.03820342
Coefficient of variation (CV)0.1318302856
Kurtosis3.456589534
Mean152
Median Absolute Deviation (MAD)10
Skewness-1.574863305
Sum16289.7
Variance401.5295962
Histogram with fixed size bins (bins=10)

Total Yds

HIGH CORRELATION
HIGH CORRELATION

Mean169
Minimum118
Maximum196

Quantile statistics

Minimum118
5-th percentile139.13
Q1159.9
median173
Q3180.85
95-th percentile189.25
Maximum196
Range78
Interquartile range (IQR)20.95

Descriptive statistics

Standard deviation16.01712169
Coefficient of variation (CV)0.09477586799
Kurtosis0.4443124927
Mean169
Median Absolute Deviation (MAD)9
Skewness-0.8866570924
Sum18121.9
Variance256.5481873
Histogram with fixed size bins (bins=10)

Offline Yds

HIGH CORRELATION

Mean6
Minimum-51
Maximum52

Quantile statistics

Minimum-51
5-th percentile-32.28
Q1-7.6
median10.3
Q321.7
95-th percentile38.46
Maximum52
Range103
Interquartile range (IQR)29.3

Descriptive statistics

Standard deviation21.61365285
Coefficient of variation (CV)3.602275475
Kurtosis-0.25252222
Mean6
Median Absolute Deviation (MAD)14.5
Skewness-0.4338065387
Sum731.2
Variance467.1499894
Histogram with fixed size bins (bins=10)

Shot Result
Categorical

HIGH CORRELATION

Most Common Shot ResultSLICE
SLICE
29
STRAIGHT
28
PUSH
25
HOOK
12
PULL
8
ValueCountFrequency (%) 
SLICE2927.1%
 
STRAIGHT2826.2%
 
PUSH2523.4%
 
HOOK1211.2%
 
PULL87.5%
 
DRAW54.7%
 

Ball Speed MPH

HIGH CORRELATION

Mean107
Minimum83
Maximum118

Quantile statistics

Minimum83
5-th percentile92.29
Q1104.85
median109
Q3114.1
95-th percentile117.37
Maximum118
Range35
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation8.11045323
Coefficient of variation (CV)0.07579862832
Kurtosis0.5782781684
Mean107
Median Absolute Deviation (MAD)5.1
Skewness-0.9898125748
Sum11531.9
Variance65.7794516
Histogram with fixed size bins (bins=10)

Launch Angle

Mean16
Minimum1
Maximum23

Quantile statistics

Minimum1
5-th percentile13.43
Q115.3
median16.4
Q317.9
95-th percentile19.47
Maximum23
Range22
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation2.601625511
Coefficient of variation (CV)0.1626015944
Kurtosis9.330739307
Mean16
Median Absolute Deviation (MAD)1.2
Skewness-1.995447783
Sum1746
Variance6.768455299
Histogram with fixed size bins (bins=10)

Total Spin RPM

Mean4178
Minimum1225
Maximum6640

Quantile statistics

Minimum1225
5-th percentile2269.5
Q13525
median4100
Q35035
95-th percentile6002.5
Maximum6640
Range5415
Interquartile range (IQR)1510

Descriptive statistics

Standard deviation1138.099177
Coefficient of variation (CV)0.2724028667
Kurtosis-0.09483795731
Mean4178
Median Absolute Deviation (MAD)685
Skewness-0.134393825
Sum447130
Variance1295269.736
Histogram with fixed size bins (bins=10)

Peak Height Yds

Mean28
Minimum1
Maximum79

Quantile statistics

Minimum1
5-th percentile9.38
Q118.7
median24.4
Q329.05
95-th percentile65.1
Maximum79
Range78
Interquartile range (IQR)10.35

Descriptive statistics

Standard deviation16.30526558
Coefficient of variation (CV)0.5823309137
Kurtosis2.097805984
Mean28
Median Absolute Deviation (MAD)5.1
Skewness1.583872295
Sum3005.6
Variance265.8616858
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
102148.9162.015.8PUSH107.215.6550063.7
103153.1170.9-25.3HOOK108.414.1411554.9
104126.2145.943.0SLICE93.819.2285048.3
105150.0165.2-10.6DRAW105.715.9431560.7
106155.1170.49.9STRAIGHT107.915.7417562.8

Random sample

Carry YdsTotal YdsOffline YdsShot ResultBall Speed MPHLaunch AngleTotal Spin RPMPeak Height Yds
54177.0191.2-26.0HOOK118.716.4435027.9
103153.1170.9-25.3HOOK108.414.1411554.9
40165.5179.0-11.0DRAW114.315.3484524.3
69169.0181.433.4SLICE115.419.5477531.6
64170.0188.9-2.6STRAIGHT110.218.8291025.9