Dataset statistics
| Number of variables | 4 |
|---|---|
| Number of observations | 111 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.6 KiB |
| Average record size in memory | 33.2 B |
Variable types
| NUM | 4 |
|---|
Reproduction
| Analysis started | 2020-08-25 00:58:58.953128 |
|---|---|
| Analysis finished | 2020-08-25 00:59:01.792296 |
| Duration | 2.84 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
ozone
Real number (ℝ≥0)
| Distinct count | 66 |
|---|---|
| Unique (%) | 59.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 42.0990990990991 |
|---|---|
| Minimum | 1.0 |
| Maximum | 168.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1016.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 8.5 |
| Q1 | 18 |
| median | 31 |
| Q3 | 62 |
| 95-th percentile | 109 |
| Maximum | 168 |
| Range | 167 |
| Interquartile range (IQR) | 44 |
Descriptive statistics
| Standard deviation | 33.27596866 |
|---|---|
| Coefficient of variation (CV) | 0.7904199702 |
| Kurtosis | 1.316539987 |
| Mean | 42.0990991 |
| Median Absolute Deviation (MAD) | 17 |
| Skewness | 1.265266486 |
| Sum | 4673 |
| Variance | 1107.29009 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 23 | 6 | 5.4% | |
| 21 | 4 | 3.6% | |
| 13 | 4 | 3.6% | |
| 18 | 4 | 3.6% | |
| 16 | 4 | 3.6% | |
| 14 | 4 | 3.6% | |
| 20 | 4 | 3.6% | |
| 32 | 3 | 2.7% | |
| 9 | 3 | 2.7% | |
| 11 | 3 | 2.7% | |
| 44 | 3 | 2.7% | |
| 30 | 2 | 1.8% | |
| 45 | 2 | 1.8% | |
| 59 | 2 | 1.8% | |
| 64 | 2 | 1.8% | |
| 7 | 2 | 1.8% | |
| 24 | 2 | 1.8% | |
| 28 | 2 | 1.8% | |
| 39 | 2 | 1.8% | |
| 73 | 2 | 1.8% | |
| 85 | 2 | 1.8% | |
| 97 | 2 | 1.8% | |
| 12 | 2 | 1.8% | |
| 36 | 2 | 1.8% | |
| 37 | 2 | 1.8% | |
| Other values (41) | 41 | 36.9% |
| Value | Count | Frequency (%) | |
| 1 | 1 | 0.9% | |
| 4 | 1 | 0.9% | |
| 6 | 1 | 0.9% | |
| 7 | 2 | 1.8% | |
| 8 | 1 | 0.9% | |
| 9 | 3 | 2.7% | |
| 10 | 1 | 0.9% | |
| 11 | 3 | 2.7% | |
| 12 | 2 | 1.8% | |
| 13 | 4 | 3.6% |
| Value | Count | Frequency (%) | |
| 168 | 1 | 0.9% | |
| 135 | 1 | 0.9% | |
| 122 | 1 | 0.9% | |
| 118 | 1 | 0.9% | |
| 115 | 1 | 0.9% | |
| 110 | 1 | 0.9% | |
| 108 | 1 | 0.9% | |
| 97 | 2 | 1.8% | |
| 96 | 1 | 0.9% | |
| 91 | 1 | 0.9% |
radiation
Real number (ℝ≥0)
| Distinct count | 93 |
|---|---|
| Unique (%) | 83.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 184.80180180180182 |
|---|---|
| Minimum | 7.0 |
| Maximum | 334.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1016.0 B |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 22 |
| Q1 | 113.5 |
| median | 207 |
| Q3 | 255.5 |
| 95-th percentile | 310 |
| Maximum | 334 |
| Range | 327 |
| Interquartile range (IQR) | 142 |
Descriptive statistics
| Standard deviation | 91.1523021 |
|---|---|
| Coefficient of variation (CV) | 0.4932435789 |
| Kurtosis | -0.9164161552 |
| Mean | 184.8018018 |
| Median Absolute Deviation (MAD) | 62 |
| Skewness | -0.4929330519 |
| Sum | 20513 |
| Variance | 8308.742179 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 238 | 4 | 3.6% | |
| 223 | 3 | 2.7% | |
| 175 | 3 | 2.7% | |
| 259 | 3 | 2.7% | |
| 220 | 2 | 1.8% | |
| 237 | 2 | 1.8% | |
| 274 | 2 | 1.8% | |
| 92 | 2 | 1.8% | |
| 252 | 2 | 1.8% | |
| 191 | 2 | 1.8% | |
| 236 | 2 | 1.8% | |
| 24 | 2 | 1.8% | |
| 190 | 2 | 1.8% | |
| 183 | 1 | 0.9% | |
| 197 | 1 | 0.9% | |
| 139 | 1 | 0.9% | |
| 14 | 1 | 0.9% | |
| 279 | 1 | 0.9% | |
| 127 | 1 | 0.9% | |
| 291 | 1 | 0.9% | |
| 323 | 1 | 0.9% | |
| 148 | 1 | 0.9% | |
| 201 | 1 | 0.9% | |
| 284 | 1 | 0.9% | |
| 37 | 1 | 0.9% | |
| Other values (68) | 68 | 61.3% |
| Value | Count | Frequency (%) | |
| 7 | 1 | 0.9% | |
| 8 | 1 | 0.9% | |
| 13 | 1 | 0.9% | |
| 14 | 1 | 0.9% | |
| 19 | 1 | 0.9% | |
| 20 | 1 | 0.9% | |
| 24 | 2 | 1.8% | |
| 25 | 1 | 0.9% | |
| 27 | 1 | 0.9% | |
| 36 | 1 | 0.9% |
| Value | Count | Frequency (%) | |
| 334 | 1 | 0.9% | |
| 323 | 1 | 0.9% | |
| 322 | 1 | 0.9% | |
| 320 | 1 | 0.9% | |
| 314 | 1 | 0.9% | |
| 313 | 1 | 0.9% | |
| 307 | 1 | 0.9% | |
| 299 | 1 | 0.9% | |
| 294 | 1 | 0.9% | |
| 291 | 1 | 0.9% |
temperature
Real number (ℝ≥0)
| Distinct count | 39 |
|---|---|
| Unique (%) | 35.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 77.7927927927928 |
|---|---|
| Minimum | 57.0 |
| Maximum | 97.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1016.0 B |
Quantile statistics
| Minimum | 57 |
|---|---|
| 5-th percentile | 61 |
| Q1 | 71 |
| median | 79 |
| Q3 | 84.5 |
| 95-th percentile | 92.5 |
| Maximum | 97 |
| Range | 40 |
| Interquartile range (IQR) | 13.5 |
Descriptive statistics
| Standard deviation | 9.529969109 |
|---|---|
| Coefficient of variation (CV) | 0.1225045247 |
| Kurtosis | -0.6430779741 |
| Mean | 77.79279279 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | -0.2281912031 |
| Sum | 8635 |
| Variance | 90.82031122 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 81 | 10 | 9.0% | |
| 82 | 7 | 6.3% | |
| 76 | 6 | 5.4% | |
| 86 | 5 | 4.5% | |
| 68 | 4 | 3.6% | |
| 73 | 4 | 3.6% | |
| 78 | 4 | 3.6% | |
| 77 | 4 | 3.6% | |
| 87 | 3 | 2.7% | |
| 85 | 3 | 2.7% | |
| 72 | 3 | 2.7% | |
| 61 | 3 | 2.7% | |
| 79 | 3 | 2.7% | |
| 90 | 3 | 2.7% | |
| 84 | 3 | 2.7% | |
| 67 | 3 | 2.7% | |
| 83 | 3 | 2.7% | |
| 92 | 3 | 2.7% | |
| 71 | 3 | 2.7% | |
| 80 | 3 | 2.7% | |
| 93 | 2 | 1.8% | |
| 74 | 2 | 1.8% | |
| 62 | 2 | 1.8% | |
| 65 | 2 | 1.8% | |
| 59 | 2 | 1.8% | |
| Other values (14) | 21 | 18.9% |
| Value | Count | Frequency (%) | |
| 57 | 1 | 0.9% | |
| 58 | 1 | 0.9% | |
| 59 | 2 | 1.8% | |
| 61 | 3 | 2.7% | |
| 62 | 2 | 1.8% | |
| 63 | 1 | 0.9% | |
| 64 | 2 | 1.8% | |
| 65 | 2 | 1.8% | |
| 66 | 2 | 1.8% | |
| 67 | 3 | 2.7% |
| Value | Count | Frequency (%) | |
| 97 | 1 | 0.9% | |
| 96 | 1 | 0.9% | |
| 94 | 2 | 1.8% | |
| 93 | 2 | 1.8% | |
| 92 | 3 | 2.7% | |
| 91 | 1 | 0.9% | |
| 90 | 3 | 2.7% | |
| 89 | 2 | 1.8% | |
| 88 | 2 | 1.8% | |
| 87 | 3 | 2.7% |
target
Real number (ℝ≥0)
| Distinct count | 28 |
|---|---|
| Unique (%) | 25.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.938738754203728 |
|---|---|
| Minimum | 2.299999952316284 |
| Maximum | 20.700000762939453 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1016.0 B |
Quantile statistics
| Minimum | 2.299999952 |
|---|---|
| 5-th percentile | 4.599999905 |
| Q1 | 7.400000095 |
| median | 9.699999809 |
| Q3 | 11.5 |
| 95-th percentile | 15.5 |
| Maximum | 20.70000076 |
| Range | 18.40000081 |
| Interquartile range (IQR) | 4.099999905 |
Descriptive statistics
| Standard deviation | 3.559217789 |
|---|---|
| Coefficient of variation (CV) | 0.35811564 |
| Kurtosis | 0.3500281197 |
| Mean | 9.938738754 |
| Median Absolute Deviation (MAD) | 2.299999714 |
| Skewness | 0.4599581011 |
| Sum | 1103.200002 |
| Variance | 12.66803127 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 11.5 | 10 | 9.0% | |
| 10.30000019 | 10 | 9.0% | |
| 7.400000095 | 9 | 8.1% | |
| 9.699999809 | 9 | 8.1% | |
| 8 | 7 | 6.3% | |
| 6.300000191 | 6 | 5.4% | |
| 9.199999809 | 6 | 5.4% | |
| 6.900000095 | 6 | 5.4% | |
| 10.89999962 | 6 | 5.4% | |
| 14.30000019 | 4 | 3.6% | |
| 14.89999962 | 4 | 3.6% | |
| 12 | 4 | 3.6% | |
| 13.80000019 | 4 | 3.6% | |
| 15.5 | 3 | 2.7% | |
| 8.600000381 | 3 | 2.7% | |
| 5.099999905 | 3 | 2.7% | |
| 12.60000038 | 2 | 1.8% | |
| 4.599999905 | 2 | 1.8% | |
| 16.60000038 | 2 | 1.8% | |
| 4 | 2 | 1.8% | |
| 5.699999809 | 2 | 1.8% | |
| 2.799999952 | 1 | 0.9% | |
| 2.299999952 | 1 | 0.9% | |
| 20.70000076 | 1 | 0.9% | |
| 18.39999962 | 1 | 0.9% | |
| Other values (3) | 3 | 2.7% |
| Value | Count | Frequency (%) | |
| 2.299999952 | 1 | 0.9% | |
| 2.799999952 | 1 | 0.9% | |
| 3.400000095 | 1 | 0.9% | |
| 4 | 2 | 1.8% | |
| 4.599999905 | 2 | 1.8% | |
| 5.099999905 | 3 | 2.7% | |
| 5.699999809 | 2 | 1.8% | |
| 6.300000191 | 6 | 5.4% | |
| 6.900000095 | 6 | 5.4% | |
| 7.400000095 | 9 | 8.1% |
| Value | Count | Frequency (%) | |
| 20.70000076 | 1 | 0.9% | |
| 20.10000038 | 1 | 0.9% | |
| 18.39999962 | 1 | 0.9% | |
| 16.60000038 | 2 | 1.8% | |
| 15.5 | 3 | 2.7% | |
| 14.89999962 | 4 | 3.6% | |
| 14.30000019 | 4 | 3.6% | |
| 13.80000019 | 4 | 3.6% | |
| 13.19999981 | 1 | 0.9% | |
| 12.60000038 | 2 | 1.8% |
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.First rows
| ozone | radiation | temperature | target | |
|---|---|---|---|---|
| 0 | 41.0 | 190.0 | 67.0 | 7.4 |
| 1 | 36.0 | 118.0 | 72.0 | 8.0 |
| 2 | 12.0 | 149.0 | 74.0 | 12.6 |
| 3 | 18.0 | 313.0 | 62.0 | 11.5 |
| 4 | 23.0 | 299.0 | 65.0 | 8.6 |
| 5 | 19.0 | 99.0 | 59.0 | 13.8 |
| 6 | 8.0 | 19.0 | 61.0 | 20.1 |
| 7 | 16.0 | 256.0 | 69.0 | 9.7 |
| 8 | 11.0 | 290.0 | 66.0 | 9.2 |
| 9 | 14.0 | 274.0 | 68.0 | 10.9 |
Last rows
| ozone | radiation | temperature | target | |
|---|---|---|---|---|
| 101 | 16.0 | 201.0 | 82.0 | 8.0 |
| 102 | 13.0 | 238.0 | 64.0 | 12.6 |
| 103 | 23.0 | 14.0 | 71.0 | 9.2 |
| 104 | 36.0 | 139.0 | 81.0 | 10.3 |
| 105 | 7.0 | 49.0 | 69.0 | 10.3 |
| 106 | 14.0 | 20.0 | 63.0 | 16.6 |
| 107 | 30.0 | 193.0 | 70.0 | 6.9 |
| 108 | 14.0 | 191.0 | 75.0 | 14.3 |
| 109 | 18.0 | 131.0 | 76.0 | 8.0 |
| 110 | 20.0 | 223.0 | 68.0 | 11.5 |