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

7i Swing Stats

Overview

Averages based on 99 shots

Carry Yds148
Total Yds162
Offline Yds0
Ball Speed MPH105
Launch Angle18
Shot ShapeSTRAIGHT
Total Spin RPM4773
Peak Height Yds31

Reproduction

Analysis started2021-06-07 15:29:04.893151
Analysis finished2021-06-07 15:29:13.671584
Duration8.78 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 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

Variables

Carry Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean148
Minimum95
Maximum169

Quantile statistics

Minimum95
5-th percentile123.94
Q1142.15
median151.4
Q3159.45
95-th percentile163.37
Maximum169
Range74
Interquartile range (IQR)17.3

Descriptive statistics

Standard deviation13.93797485
Coefficient of variation (CV)0.09417550573
Kurtosis2.593706574
Mean148
Median Absolute Deviation (MAD)8.7
Skewness-1.420177921
Sum14727.9
Variance194.2671429
Histogram with fixed size bins (bins=10)

Total Yds

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean162
Minimum111
Maximum184

Quantile statistics

Minimum111
5-th percentile141
Q1155.45
median164.8
Q3171.5
95-th percentile178.22
Maximum184
Range73
Interquartile range (IQR)16.05

Descriptive statistics

Standard deviation12.59250971
Coefficient of variation (CV)0.07773154141
Kurtosis1.991791821
Mean162
Median Absolute Deviation (MAD)8.3
Skewness-1.099256772
Sum16127.6
Variance158.5713008
Histogram with fixed size bins (bins=10)

Offline Yds

HIGH CORRELATION

Mean0
Minimum-46
Maximum50

Quantile statistics

Minimum-46
5-th percentile-38.35
Q1-18.25
median-3.4
Q316.85
95-th percentile37.99
Maximum50
Range96
Interquartile range (IQR)35.1

Descriptive statistics

Standard deviation23.56077384
Coefficient of variation (CV)nan
Kurtosis-0.6598836345
Mean0
Median Absolute Deviation (MAD)17.3
Skewness0.1073204284
Sum-83.8
Variance555.1100639
Histogram with fixed size bins (bins=10)

Shot Result
Categorical

HIGH CORRELATION

Most Common Shot ResultSTRAIGHT
STRAIGHT
27
SLICE
20
HOOK
17
PUSH
15
PULL
10
ValueCountFrequency (%) 
STRAIGHT2727.3%
 
SLICE2020.2%
 
HOOK1717.2%
 
PUSH1515.2%
 
PULL1010.1%
 
DRAW1010.1%
 

Ball Speed MPH

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Mean105
Minimum85
Maximum114

Quantile statistics

Minimum85
5-th percentile94.27
Q1101.4
median106.4
Q3110.9
95-th percentile112.83
Maximum114
Range29
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation6.377965315
Coefficient of variation (CV)0.06074252681
Kurtosis0.7405928302
Mean105
Median Absolute Deviation (MAD)4.7
Skewness-1.019635434
Sum10449.3
Variance40.67844156
Histogram with fixed size bins (bins=10)

Launch Angle

Mean18
Minimum6
Maximum24

Quantile statistics

Minimum6
5-th percentile14.64
Q117.45
median18.3
Q319.95
95-th percentile22.01
Maximum24
Range18
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.53738203
Coefficient of variation (CV)0.1409656683
Kurtosis4.544099563
Mean18
Median Absolute Deviation (MAD)1.3
Skewness-1.14420635
Sum1817.8
Variance6.438307565
Histogram with fixed size bins (bins=10)

Total Spin RPM

Mean4773
Minimum1660
Maximum7375

Quantile statistics

Minimum1660
5-th percentile3412
Q14100
median4750
Q35450
95-th percentile6239.5
Maximum7375
Range5715
Interquartile range (IQR)1350

Descriptive statistics

Standard deviation994.1798885
Coefficient of variation (CV)0.2082924552
Kurtosis0.695466313
Mean4773
Median Absolute Deviation (MAD)665
Skewness-0.02056774254
Sum472615
Variance988393.6508
Histogram with fixed size bins (bins=10)

Peak Height Yds

Mean31
Minimum4
Maximum80

Quantile statistics

Minimum4
5-th percentile18.08
Q123.75
median25.9
Q329.8
95-th percentile72.22
Maximum80
Range76
Interquartile range (IQR)6.05

Descriptive statistics

Standard deviation15.68575752
Coefficient of variation (CV)0.5059921782
Kurtosis2.410526005
Mean31
Median Absolute Deviation (MAD)3.5
Skewness1.809483542
Sum3100
Variance246.0429891
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
94132.1150.0-32.1HOOK99.813.6391540.6
95136.1154.6-38.8HOOK100.815.3401547.7
96160.5173.811.0PUSH111.117.9490080.4
97122.5141.019.4PUSH88.521.0240050.8
98152.8167.8-6.2STRAIGHT107.016.1445064.4

Random sample

Carry YdsTotal YdsOffline YdsShot ResultBall Speed MPHLaunch AngleTotal Spin RPMPeak Height Yds
26148.5162.513.9PUSH103.320.8472026.4
68163.3174.7-0.8STRAIGHT113.118.8570029.7
83124.4137.931.1SLICE97.214.9585044.4
44155.2171.35.3STRAIGHT105.219.8396025.4
46158.8173.110.0STRAIGHT108.718.1425025.3