Averages based on 204 shots
Carry Yds | 206 |
---|---|
Total Yds | 233 |
Offline Yds | 2 |
Ball Speed MPH | 137 |
Launch Angle | 11 |
Shot Shape | SLICE |
Total Spin RPM | 2697 |
Peak Height Yds | 21 |
Reproduction
Analysis started | 2021-06-07 15:29:18.643056 |
---|---|
Analysis finished | 2021-06-07 15:29:31.943211 |
Duration | 13.3 seconds |
Version | pandas-profiling v2.8.0 |
Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
Download configuration | config.yaml |
Mean | 206 |
---|---|
Minimum | 59 |
Maximum | 259 |
Quantile statistics
Minimum | 59 |
---|---|
5-th percentile | 153.505 |
Q1 | 191.225 |
median | 212.45 |
Q3 | 224.6 |
95-th percentile | 243.245 |
Maximum | 259 |
Range | 200 |
Interquartile range (IQR) | 33.375 |
Descriptive statistics
Standard deviation | 28.83328139 |
---|---|
Coefficient of variation (CV) | 0.1399673854 |
Kurtosis | 2.495274022 |
Mean | 206 |
Median Absolute Deviation (MAD) | 16.25 |
Skewness | -1.093726496 |
Sum | 42029 |
Variance | 831.3581155 |
Mean | 233 |
---|---|
Minimum | 144 |
Maximum | 286 |
Quantile statistics
Minimum | 144 |
---|---|
5-th percentile | 189.68 |
Q1 | 218 |
median | 235.9 |
Q3 | 249.45 |
95-th percentile | 267.54 |
Maximum | 286 |
Range | 142 |
Interquartile range (IQR) | 31.45 |
Descriptive statistics
Standard deviation | 24.50841514 |
---|---|
Coefficient of variation (CV) | 0.1051863311 |
Kurtosis | 0.612272137 |
Mean | 233 |
Median Absolute Deviation (MAD) | 15.7 |
Skewness | -0.6153537383 |
Sum | 47596.4 |
Variance | 600.6624128 |
Mean | 2 |
---|---|
Minimum | -85 |
Maximum | 105 |
Quantile statistics
Minimum | -85 |
---|---|
5-th percentile | -57.87 |
Q1 | -33.75 |
median | -1.8 |
Q3 | 29.575 |
95-th percentile | 73.54 |
Maximum | 105 |
Range | 190 |
Interquartile range (IQR) | 63.325 |
Descriptive statistics
Standard deviation | 42.08928474 |
---|---|
Coefficient of variation (CV) | 21.04464237 |
Kurtosis | -0.757417113 |
Mean | 2 |
Median Absolute Deviation (MAD) | 31.75 |
Skewness | 0.2888388769 |
Sum | 495.1 |
Variance | 1771.50789 |
Shot Result
Categorical
Most Common Shot Result | SLICE |
---|
SLICE | |
---|---|
HOOK | |
STRAIGHT | |
PUSH | |
PULL | 11 |
Value | Count | Frequency (%) | |
SLICE | 69 | 33.8% | |
HOOK | 66 | 32.4% | |
STRAIGHT | 31 | 15.2% | |
PUSH | 20 | 9.8% | |
PULL | 11 | 5.4% | |
DRAW | 7 | 3.4% |
Mean | 137 |
---|---|
Minimum | 104 |
Maximum | 150 |
Quantile statistics
Minimum | 104 |
---|---|
5-th percentile | 127.69 |
Q1 | 134.9 |
median | 138.25 |
Q3 | 141.65 |
95-th percentile | 147.085 |
Maximum | 150 |
Range | 46 |
Interquartile range (IQR) | 6.75 |
Descriptive statistics
Standard deviation | 6.37981247 |
---|---|
Coefficient of variation (CV) | 0.04656797423 |
Kurtosis | 5.613854585 |
Mean | 137 |
Median Absolute Deviation (MAD) | 3.35 |
Skewness | -1.535248886 |
Sum | 28112.8 |
Variance | 40.70200715 |
Mean | 11 |
---|---|
Minimum | 1 |
Maximum | 35 |
Quantile statistics
Minimum | 1 |
---|---|
5-th percentile | 5.53 |
Q1 | 8.7 |
median | 10.8 |
Q3 | 12.825 |
95-th percentile | 16.485 |
Maximum | 35 |
Range | 34 |
Interquartile range (IQR) | 4.125 |
Descriptive statistics
Standard deviation | 3.773740525 |
---|---|
Coefficient of variation (CV) | 0.3430673205 |
Kurtosis | 8.37327139 |
Mean | 11 |
Median Absolute Deviation (MAD) | 2.1 |
Skewness | 1.548399535 |
Sum | 2246.6 |
Variance | 14.24111755 |
Mean | 2697 |
---|---|
Minimum | 850 |
Maximum | 7765 |
Quantile statistics
Minimum | 850 |
---|---|
5-th percentile | 1476.5 |
Q1 | 2093.75 |
median | 2462.5 |
Q3 | 3092.5 |
95-th percentile | 4943.75 |
Maximum | 7765 |
Range | 6915 |
Interquartile range (IQR) | 998.75 |
Descriptive statistics
Standard deviation | 1075.852098 |
---|---|
Coefficient of variation (CV) | 0.39890697 |
Kurtosis | 4.59748378 |
Mean | 2697 |
Median Absolute Deviation (MAD) | 487.5 |
Skewness | 1.780444518 |
Sum | 550320 |
Variance | 1157457.737 |
Mean | 21 |
---|---|
Minimum | 1 |
Maximum | 71 |
Quantile statistics
Minimum | 1 |
---|---|
5-th percentile | 7.03 |
Q1 | 13.875 |
median | 21.05 |
Q3 | 27.35 |
95-th percentile | 40.915 |
Maximum | 71 |
Range | 70 |
Interquartile range (IQR) | 13.475 |
Descriptive statistics
Standard deviation | 11.13651969 |
---|---|
Coefficient of variation (CV) | 0.5303104616 |
Kurtosis | 3.798815788 |
Mean | 21 |
Median Absolute Deviation (MAD) | 6.8 |
Skewness | 1.354283183 |
Sum | 4469.6 |
Variance | 124.0220709 |
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.Last rows
Carry Yds | Total Yds | Offline Yds | Shot Result | Ball Speed MPH | Launch Angle | Total Spin RPM | Peak Height Yds | |
---|---|---|---|---|---|---|---|---|
199 | 224.1 | 245.7 | 72.2 | SLICE | 142.2 | 11.5 | 2825 | 71.1 |
200 | 170.9 | 210.9 | -48.2 | HOOK | 136.2 | 11.0 | 1425 | 31.7 |
201 | 196.1 | 238.1 | -28.2 | HOOK | 138.4 | 10.7 | 1125 | 35.6 |
202 | 141.3 | 186.0 | -10.9 | DRAW | 121.6 | 5.0 | 2175 | 14.9 |
203 | 170.2 | 216.2 | -30.4 | HOOK | 134.0 | 11.5 | 850 | 30.4 |
Random sample
Carry Yds | Total Yds | Offline Yds | Shot Result | Ball Speed MPH | Launch Angle | Total Spin RPM | Peak Height Yds | |
---|---|---|---|---|---|---|---|---|
29 | 192.2 | 225.1 | -44.7 | HOOK | 138.1 | 9.9 | 1785 | 12.3 |
123 | 211.3 | 237.6 | 27.5 | SLICE | 136.6 | 9.1 | 2775 | 18.1 |
158 | 197.6 | 214.4 | 62.3 | SLICE | 137.4 | 10.5 | 4350 | 21.8 |
54 | 201.7 | 228.0 | -27.7 | HOOK | 134.2 | 8.7 | 2265 | 14.3 |
185 | 198.3 | 212.3 | 78.8 | SLICE | 139.7 | 12.2 | 5150 | 25.4 |