Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 699 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 236 |
| Duplicate rows (%) | 33.8% |
| Total size in memory | 54.7 KiB |
| Average record size in memory | 80.2 B |
Variable types
| NUM | 9 |
|---|---|
| BOOL | 1 |
Reproduction
| Analysis started | 2020-08-25 01:11:06.004273 |
|---|---|
| Analysis finished | 2020-08-25 01:11:18.711125 |
| Duration | 12.71 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
| Dataset has 236 (33.8%) duplicate rows | Duplicates |
Cell_Shape_Uniformity is highly correlated with Cell_Size_Uniformity | High correlation |
Cell_Size_Uniformity is highly correlated with Cell_Shape_Uniformity | High correlation |
Bare_Nuclei has 402 (57.5%) zeros | Zeros |
Clump_Thickness
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.417739628040057 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.815740659 |
|---|---|
| Coefficient of variation (CV) | 0.6373713473 |
| Kurtosis | -0.6237154123 |
| Mean | 4.417739628 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.5928585327 |
| Sum | 3088 |
| Variance | 7.928395456 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 145 | 20.7% | |
| 5 | 130 | 18.6% | |
| 3 | 108 | 15.5% | |
| 4 | 80 | 11.4% | |
| 10 | 69 | 9.9% | |
| 2 | 50 | 7.2% | |
| 8 | 46 | 6.6% | |
| 6 | 34 | 4.9% | |
| 7 | 23 | 3.3% | |
| 9 | 14 | 2.0% |
| Value | Count | Frequency (%) | |
| 1 | 145 | 20.7% | |
| 2 | 50 | 7.2% | |
| 3 | 108 | 15.5% | |
| 4 | 80 | 11.4% | |
| 5 | 130 | 18.6% | |
| 6 | 34 | 4.9% | |
| 7 | 23 | 3.3% | |
| 8 | 46 | 6.6% | |
| 9 | 14 | 2.0% | |
| 10 | 69 | 9.9% |
| Value | Count | Frequency (%) | |
| 10 | 69 | 9.9% | |
| 9 | 14 | 2.0% | |
| 8 | 46 | 6.6% | |
| 7 | 23 | 3.3% | |
| 6 | 34 | 4.9% | |
| 5 | 130 | 18.6% | |
| 4 | 80 | 11.4% | |
| 3 | 108 | 15.5% | |
| 2 | 50 | 7.2% | |
| 1 | 145 | 20.7% |
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.13447782546495 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.05145911 |
|---|---|
| Coefficient of variation (CV) | 0.9735143395 |
| Kurtosis | 0.09880288537 |
| Mean | 3.134477825 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.233136558 |
| Sum | 2191 |
| Variance | 9.3114027 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 384 | 54.9% | |
| 10 | 67 | 9.6% | |
| 3 | 52 | 7.4% | |
| 2 | 45 | 6.4% | |
| 4 | 40 | 5.7% | |
| 5 | 30 | 4.3% | |
| 8 | 29 | 4.1% | |
| 6 | 27 | 3.9% | |
| 7 | 19 | 2.7% | |
| 9 | 6 | 0.9% |
| Value | Count | Frequency (%) | |
| 1 | 384 | 54.9% | |
| 2 | 45 | 6.4% | |
| 3 | 52 | 7.4% | |
| 4 | 40 | 5.7% | |
| 5 | 30 | 4.3% | |
| 6 | 27 | 3.9% | |
| 7 | 19 | 2.7% | |
| 8 | 29 | 4.1% | |
| 9 | 6 | 0.9% | |
| 10 | 67 | 9.6% |
| Value | Count | Frequency (%) | |
| 10 | 67 | 9.6% | |
| 9 | 6 | 0.9% | |
| 8 | 29 | 4.1% | |
| 7 | 19 | 2.7% | |
| 6 | 27 | 3.9% | |
| 5 | 30 | 4.3% | |
| 4 | 40 | 5.7% | |
| 3 | 52 | 7.4% | |
| 2 | 45 | 6.4% | |
| 1 | 384 | 54.9% |
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.207439198855508 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.971912767 |
|---|---|
| Coefficient of variation (CV) | 0.9265686995 |
| Kurtosis | 0.007010980047 |
| Mean | 3.207439199 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.161859179 |
| Sum | 2242 |
| Variance | 8.832265496 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 353 | 50.5% | |
| 2 | 59 | 8.4% | |
| 10 | 58 | 8.3% | |
| 3 | 56 | 8.0% | |
| 4 | 44 | 6.3% | |
| 5 | 34 | 4.9% | |
| 7 | 30 | 4.3% | |
| 6 | 30 | 4.3% | |
| 8 | 28 | 4.0% | |
| 9 | 7 | 1.0% |
| Value | Count | Frequency (%) | |
| 1 | 353 | 50.5% | |
| 2 | 59 | 8.4% | |
| 3 | 56 | 8.0% | |
| 4 | 44 | 6.3% | |
| 5 | 34 | 4.9% | |
| 6 | 30 | 4.3% | |
| 7 | 30 | 4.3% | |
| 8 | 28 | 4.0% | |
| 9 | 7 | 1.0% | |
| 10 | 58 | 8.3% |
| Value | Count | Frequency (%) | |
| 10 | 58 | 8.3% | |
| 9 | 7 | 1.0% | |
| 8 | 28 | 4.0% | |
| 7 | 30 | 4.3% | |
| 6 | 30 | 4.3% | |
| 5 | 34 | 4.9% | |
| 4 | 44 | 6.3% | |
| 3 | 56 | 8.0% | |
| 2 | 59 | 8.4% | |
| 1 | 353 | 50.5% |
Marginal_Adhesion
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.8068669527896994 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 4 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.855379239 |
|---|---|
| Coefficient of variation (CV) | 1.017283429 |
| Kurtosis | 0.9879470695 |
| Mean | 2.806866953 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.524468091 |
| Sum | 1962 |
| Variance | 8.1531906 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 407 | 58.2% | |
| 2 | 58 | 8.3% | |
| 3 | 58 | 8.3% | |
| 10 | 55 | 7.9% | |
| 4 | 33 | 4.7% | |
| 8 | 25 | 3.6% | |
| 5 | 23 | 3.3% | |
| 6 | 22 | 3.1% | |
| 7 | 13 | 1.9% | |
| 9 | 5 | 0.7% |
| Value | Count | Frequency (%) | |
| 1 | 407 | 58.2% | |
| 2 | 58 | 8.3% | |
| 3 | 58 | 8.3% | |
| 4 | 33 | 4.7% | |
| 5 | 23 | 3.3% | |
| 6 | 22 | 3.1% | |
| 7 | 13 | 1.9% | |
| 8 | 25 | 3.6% | |
| 9 | 5 | 0.7% | |
| 10 | 55 | 7.9% |
| Value | Count | Frequency (%) | |
| 10 | 55 | 7.9% | |
| 9 | 5 | 0.7% | |
| 8 | 25 | 3.6% | |
| 7 | 13 | 1.9% | |
| 6 | 22 | 3.1% | |
| 5 | 23 | 3.3% | |
| 4 | 33 | 4.7% | |
| 3 | 58 | 8.3% | |
| 2 | 58 | 8.3% | |
| 1 | 407 | 58.2% |
Single_Epi_Cell_Size
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.216022889842632 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.214299887 |
|---|---|
| Coefficient of variation (CV) | 0.6885211836 |
| Kurtosis | 2.169066423 |
| Mean | 3.21602289 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.712171802 |
| Sum | 2248 |
| Variance | 4.903123988 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 2 | 386 | 55.2% | |
| 3 | 72 | 10.3% | |
| 4 | 48 | 6.9% | |
| 1 | 47 | 6.7% | |
| 6 | 41 | 5.9% | |
| 5 | 39 | 5.6% | |
| 10 | 31 | 4.4% | |
| 8 | 21 | 3.0% | |
| 7 | 12 | 1.7% | |
| 9 | 2 | 0.3% |
| Value | Count | Frequency (%) | |
| 1 | 47 | 6.7% | |
| 2 | 386 | 55.2% | |
| 3 | 72 | 10.3% | |
| 4 | 48 | 6.9% | |
| 5 | 39 | 5.6% | |
| 6 | 41 | 5.9% | |
| 7 | 12 | 1.7% | |
| 8 | 21 | 3.0% | |
| 9 | 2 | 0.3% | |
| 10 | 31 | 4.4% |
| Value | Count | Frequency (%) | |
| 10 | 31 | 4.4% | |
| 9 | 2 | 0.3% | |
| 8 | 21 | 3.0% | |
| 7 | 12 | 1.7% | |
| 6 | 41 | 5.9% | |
| 5 | 39 | 5.6% | |
| 4 | 48 | 6.9% | |
| 3 | 72 | 10.3% | |
| 2 | 386 | 55.2% | |
| 1 | 47 | 6.7% |
| Distinct count | 11 |
|---|---|
| Unique (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.4177396280400572 |
|---|---|
| Minimum | 0 |
| Maximum | 10 |
| Zeros | 402 |
| Zeros (%) | 57.5% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 2.499862469 |
|---|---|
| Coefficient of variation (CV) | 1.763273325 |
| Kurtosis | 3.391647791 |
| Mean | 1.417739628 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.066583426 |
| Sum | 991 |
| Variance | 6.249312362 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 402 | 57.5% | |
| 1 | 132 | 18.9% | |
| 5 | 30 | 4.3% | |
| 2 | 30 | 4.3% | |
| 3 | 28 | 4.0% | |
| 8 | 21 | 3.0% | |
| 4 | 19 | 2.7% | |
| 10 | 16 | 2.3% | |
| 9 | 9 | 1.3% | |
| 7 | 8 | 1.1% | |
| 6 | 4 | 0.6% |
| Value | Count | Frequency (%) | |
| 0 | 402 | 57.5% | |
| 1 | 132 | 18.9% | |
| 2 | 30 | 4.3% | |
| 3 | 28 | 4.0% | |
| 4 | 19 | 2.7% | |
| 5 | 30 | 4.3% | |
| 6 | 4 | 0.6% | |
| 7 | 8 | 1.1% | |
| 8 | 21 | 3.0% | |
| 9 | 9 | 1.3% |
| Value | Count | Frequency (%) | |
| 10 | 16 | 2.3% | |
| 9 | 9 | 1.3% | |
| 8 | 21 | 3.0% | |
| 7 | 8 | 1.1% | |
| 6 | 4 | 0.6% | |
| 5 | 30 | 4.3% | |
| 4 | 19 | 2.7% | |
| 3 | 28 | 4.0% | |
| 2 | 30 | 4.3% | |
| 1 | 132 | 18.9% |
Bland_Chromatin
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.4377682403433476 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.438364252 |
|---|---|
| Coefficient of variation (CV) | 0.7092869798 |
| Kurtosis | 0.1846213115 |
| Mean | 3.43776824 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.099969082 |
| Sum | 2403 |
| Variance | 5.945620227 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 2 | 166 | 23.7% | |
| 3 | 165 | 23.6% | |
| 1 | 152 | 21.7% | |
| 7 | 73 | 10.4% | |
| 4 | 40 | 5.7% | |
| 5 | 34 | 4.9% | |
| 8 | 28 | 4.0% | |
| 10 | 20 | 2.9% | |
| 9 | 11 | 1.6% | |
| 6 | 10 | 1.4% |
| Value | Count | Frequency (%) | |
| 1 | 152 | 21.7% | |
| 2 | 166 | 23.7% | |
| 3 | 165 | 23.6% | |
| 4 | 40 | 5.7% | |
| 5 | 34 | 4.9% | |
| 6 | 10 | 1.4% | |
| 7 | 73 | 10.4% | |
| 8 | 28 | 4.0% | |
| 9 | 11 | 1.6% | |
| 10 | 20 | 2.9% |
| Value | Count | Frequency (%) | |
| 10 | 20 | 2.9% | |
| 9 | 11 | 1.6% | |
| 8 | 28 | 4.0% | |
| 7 | 73 | 10.4% | |
| 6 | 10 | 1.4% | |
| 5 | 34 | 4.9% | |
| 4 | 40 | 5.7% | |
| 3 | 165 | 23.6% | |
| 2 | 166 | 23.7% | |
| 1 | 152 | 21.7% |
Normal_Nucleoli
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.866952789699571 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 4 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.053633894 |
|---|---|
| Coefficient of variation (CV) | 1.065114816 |
| Kurtosis | 0.4742686755 |
| Mean | 2.86695279 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.422261257 |
| Sum | 2004 |
| Variance | 9.324679956 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 443 | 63.4% | |
| 10 | 61 | 8.7% | |
| 3 | 44 | 6.3% | |
| 2 | 36 | 5.2% | |
| 8 | 24 | 3.4% | |
| 6 | 22 | 3.1% | |
| 5 | 19 | 2.7% | |
| 4 | 18 | 2.6% | |
| 9 | 16 | 2.3% | |
| 7 | 16 | 2.3% |
| Value | Count | Frequency (%) | |
| 1 | 443 | 63.4% | |
| 2 | 36 | 5.2% | |
| 3 | 44 | 6.3% | |
| 4 | 18 | 2.6% | |
| 5 | 19 | 2.7% | |
| 6 | 22 | 3.1% | |
| 7 | 16 | 2.3% | |
| 8 | 24 | 3.4% | |
| 9 | 16 | 2.3% | |
| 10 | 61 | 8.7% |
| Value | Count | Frequency (%) | |
| 10 | 61 | 8.7% | |
| 9 | 16 | 2.3% | |
| 8 | 24 | 3.4% | |
| 7 | 16 | 2.3% | |
| 6 | 22 | 3.1% | |
| 5 | 19 | 2.7% | |
| 4 | 18 | 2.6% | |
| 3 | 44 | 6.3% | |
| 2 | 36 | 5.2% | |
| 1 | 443 | 63.4% |
Mitoses
Real number (ℝ≥0)
| Distinct count | 9 |
|---|---|
| Unique (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.5894134477825466 |
|---|---|
| Minimum | 1.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 5 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.715077943 |
|---|---|
| Coefficient of variation (CV) | 1.07906344 |
| Kurtosis | 12.65787807 |
| Mean | 1.589413448 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.560657844 |
| Sum | 1111 |
| Variance | 2.941492349 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 579 | 82.8% | |
| 2 | 35 | 5.0% | |
| 3 | 33 | 4.7% | |
| 10 | 14 | 2.0% | |
| 4 | 12 | 1.7% | |
| 7 | 9 | 1.3% | |
| 8 | 8 | 1.1% | |
| 5 | 6 | 0.9% | |
| 6 | 3 | 0.4% |
| Value | Count | Frequency (%) | |
| 1 | 579 | 82.8% | |
| 2 | 35 | 5.0% | |
| 3 | 33 | 4.7% | |
| 4 | 12 | 1.7% | |
| 5 | 6 | 0.9% | |
| 6 | 3 | 0.4% | |
| 7 | 9 | 1.3% | |
| 8 | 8 | 1.1% | |
| 10 | 14 | 2.0% |
| Value | Count | Frequency (%) | |
| 10 | 14 | 2.0% | |
| 8 | 8 | 1.1% | |
| 7 | 9 | 1.3% | |
| 6 | 3 | 0.4% | |
| 5 | 6 | 0.9% | |
| 4 | 12 | 1.7% | |
| 3 | 33 | 4.7% | |
| 2 | 35 | 5.0% | |
| 1 | 579 | 82.8% |
target
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 0 | |
|---|---|
| 1 |
| Value | Count | Frequency (%) | |
| 0 | 458 | 65.5% | |
| 1 | 241 | 34.5% |
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
| Clump_Thickness | Cell_Size_Uniformity | Cell_Shape_Uniformity | Marginal_Adhesion | Single_Epi_Cell_Size | Bare_Nuclei | Bland_Chromatin | Normal_Nucleoli | Mitoses | target | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 3.0 | 1.0 | 1.0 | 0 |
| 1 | 5.0 | 4.0 | 4.0 | 5.0 | 7.0 | 1 | 3.0 | 2.0 | 1.0 | 0 |
| 2 | 3.0 | 1.0 | 1.0 | 1.0 | 2.0 | 2 | 3.0 | 1.0 | 1.0 | 0 |
| 3 | 6.0 | 8.0 | 8.0 | 1.0 | 3.0 | 4 | 3.0 | 7.0 | 1.0 | 0 |
| 4 | 4.0 | 1.0 | 1.0 | 3.0 | 2.0 | 0 | 3.0 | 1.0 | 1.0 | 0 |
| 5 | 8.0 | 10.0 | 10.0 | 8.0 | 7.0 | 1 | 9.0 | 7.0 | 1.0 | 1 |
| 6 | 1.0 | 1.0 | 1.0 | 1.0 | 2.0 | 1 | 3.0 | 1.0 | 1.0 | 0 |
| 7 | 2.0 | 1.0 | 2.0 | 1.0 | 2.0 | 0 | 3.0 | 1.0 | 1.0 | 0 |
| 8 | 2.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 5.0 | 0 |
| 9 | 4.0 | 2.0 | 1.0 | 1.0 | 2.0 | 0 | 2.0 | 1.0 | 1.0 | 0 |
Last rows
| Clump_Thickness | Cell_Size_Uniformity | Cell_Shape_Uniformity | Marginal_Adhesion | Single_Epi_Cell_Size | Bare_Nuclei | Bland_Chromatin | Normal_Nucleoli | Mitoses | target | |
|---|---|---|---|---|---|---|---|---|---|---|
| 689 | 1.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 8.0 | 0 |
| 690 | 1.0 | 1.0 | 1.0 | 3.0 | 2.0 | 0 | 1.0 | 1.0 | 1.0 | 0 |
| 691 | 5.0 | 10.0 | 10.0 | 5.0 | 4.0 | 5 | 4.0 | 4.0 | 1.0 | 1 |
| 692 | 3.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 1.0 | 0 |
| 693 | 3.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 2.0 | 1.0 | 2.0 | 0 |
| 694 | 3.0 | 1.0 | 1.0 | 1.0 | 3.0 | 2 | 1.0 | 1.0 | 1.0 | 0 |
| 695 | 2.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 1.0 | 0 |
| 696 | 5.0 | 10.0 | 10.0 | 3.0 | 7.0 | 3 | 8.0 | 10.0 | 2.0 | 1 |
| 697 | 4.0 | 8.0 | 6.0 | 4.0 | 3.0 | 4 | 10.0 | 6.0 | 1.0 | 1 |
| 698 | 4.0 | 8.0 | 8.0 | 5.0 | 4.0 | 5 | 10.0 | 4.0 | 1.0 | 1 |
Most frequent
| Clump_Thickness | Cell_Size_Uniformity | Cell_Shape_Uniformity | Marginal_Adhesion | Single_Epi_Cell_Size | Bare_Nuclei | Bland_Chromatin | Normal_Nucleoli | Mitoses | target | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | 1.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 1.0 | 0 | 27 |
| 6 | 1.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 3.0 | 1.0 | 1.0 | 0 | 23 |
| 5 | 1.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 2.0 | 1.0 | 1.0 | 0 | 21 |
| 20 | 3.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 2.0 | 1.0 | 1.0 | 0 | 20 |
| 19 | 3.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 1.0 | 0 | 12 |
| 13 | 2.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 1.0 | 0 | 10 |
| 21 | 3.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 3.0 | 1.0 | 1.0 | 0 | 10 |
| 28 | 4.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 1.0 | 1.0 | 1.0 | 0 | 10 |
| 29 | 4.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 2.0 | 1.0 | 1.0 | 0 | 10 |
| 37 | 5.0 | 1.0 | 1.0 | 1.0 | 2.0 | 0 | 2.0 | 1.0 | 1.0 | 0 | 10 |