Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 1190 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 272 |
| Duplicate rows (%) | 22.9% |
| Total size in memory | 327.0 KiB |
| Average record size in memory | 281.4 B |
Variable types
| Numeric | 5 |
|---|---|
| Categorical | 7 |
| Dataset has 272 (22.9%) duplicate rows | Duplicates |
ST_Slope is highly correlated with Ex_Angina and 3 other fields | High correlation |
Ex_Angina is highly correlated with ST_Slope and 4 other fields | High correlation |
Max_Heart is highly correlated with Ex_Angina and 1 other fields | High correlation |
Cardio is highly correlated with ST_Slope and 4 other fields | High correlation |
Old_Peak is highly correlated with ST_Slope and 2 other fields | High correlation |
Chest_Pain is highly correlated with ST_Slope and 2 other fields | High correlation |
ST_Slope is highly correlated with Cardio | High correlation |
Cardio is highly correlated with ST_Slope and 1 other fields | High correlation |
Chest_Pain is highly correlated with Cardio | High correlation |
Cholesterol has 172 (14.5%) zeros | Zeros |
Old_Peak has 455 (38.2%) zeros | Zeros |
Reproduction
| Analysis started | 2021-07-09 14:51:24.208754 |
|---|---|
| Analysis finished | 2021-07-09 14:51:39.665732 |
| Duration | 15.46 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
Age
Real number (ℝ≥0)
| Distinct | 50 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 53.72016807 |
| Minimum | 28 |
|---|---|
| Maximum | 77 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.4 KiB |
Quantile statistics
| Minimum | 28 |
|---|---|
| 5-th percentile | 38 |
| Q1 | 47 |
| median | 54 |
| Q3 | 60 |
| 95-th percentile | 68 |
| Maximum | 77 |
| Range | 49 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.358202798 |
|---|---|
| Coefficient of variation (CV) | 0.1742027833 |
| Kurtosis | -0.4117756705 |
| Mean | 53.72016807 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | -0.1921112798 |
| Sum | 63927 |
| Variance | 87.5759596 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 54 | 67 | 5.6% |
| 58 | 58 | 4.9% |
| 57 | 50 | 4.2% |
| 52 | 47 | 3.9% |
| 59 | 47 | 3.9% |
| 51 | 47 | 3.9% |
| 55 | 47 | 3.9% |
| 56 | 47 | 3.9% |
| 62 | 46 | 3.9% |
| 60 | 44 | 3.7% |
| Other values (40) | 690 |
| Value | Count | Frequency (%) |
| 28 | 1 | 0.1% |
| 29 | 4 | 0.3% |
| 30 | 1 | 0.1% |
| 31 | 2 | 0.2% |
| 32 | 5 | 0.4% |
| 33 | 2 | 0.2% |
| 34 | 9 | |
| 35 | 14 | |
| 36 | 6 | |
| 37 | 13 |
| Value | Count | Frequency (%) |
| 77 | 3 | 0.3% |
| 76 | 3 | 0.3% |
| 75 | 3 | 0.3% |
| 74 | 8 | |
| 73 | 1 | 0.1% |
| 72 | 4 | 0.3% |
| 71 | 8 | |
| 70 | 11 | |
| 69 | 16 | |
| 68 | 13 |
Sex
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 67.5 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1190 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 909 | |
| 0 | 281 | 23.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 909 | |
| 0 | 281 | 23.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 909 | |
| 0 | 281 | 23.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1190 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 909 | |
| 0 | 281 | 23.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1190 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 909 | |
| 0 | 281 | 23.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1190 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 909 | |
| 0 | 281 | 23.6% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 67.5 KiB |
| 4 | |
|---|---|
| 3 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1190 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 2 |
| 4th row | 4 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 625 | |
| 3 | 283 | |
| 2 | 216 | 18.2% |
| 1 | 66 | 5.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 4 | 625 | |
| 3 | 283 | |
| 2 | 216 | 18.2% |
| 1 | 66 | 5.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 625 | |
| 3 | 283 | |
| 2 | 216 | 18.2% |
| 1 | 66 | 5.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1190 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 625 | |
| 3 | 283 | |
| 2 | 216 | 18.2% |
| 1 | 66 | 5.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1190 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 4 | 625 | |
| 3 | 283 | |
| 2 | 216 | 18.2% |
| 1 | 66 | 5.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1190 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 4 | 625 | |
| 3 | 283 | |
| 2 | 216 | 18.2% |
| 1 | 66 | 5.5% |
Rest_Systolic
Real number (ℝ≥0)
| Distinct | 67 |
|---|---|
| Distinct (%) | 5.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 132.1537815 |
| Minimum | 0 |
|---|---|
| Maximum | 200 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 106 |
| Q1 | 120 |
| median | 130 |
| Q3 | 140 |
| 95-th percentile | 160 |
| Maximum | 200 |
| Range | 200 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 18.36882342 |
|---|---|
| Coefficient of variation (CV) | 0.1389958214 |
| Kurtosis | 2.757899211 |
| Mean | 132.1537815 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.29346243 |
| Sum | 157263 |
| Variance | 337.4136737 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 120 | 166 | |
| 130 | 149 | 12.5% |
| 140 | 137 | 11.5% |
| 110 | 76 | 6.4% |
| 150 | 73 | 6.1% |
| 160 | 61 | 5.1% |
| 125 | 39 | 3.3% |
| 128 | 27 | 2.3% |
| 135 | 26 | 2.2% |
| 138 | 26 | 2.2% |
| Other values (57) | 410 |
| Value | Count | Frequency (%) |
| 0 | 1 | 0.1% |
| 80 | 1 | 0.1% |
| 92 | 1 | 0.1% |
| 94 | 4 | 0.3% |
| 95 | 6 | 0.5% |
| 96 | 1 | 0.1% |
| 98 | 1 | 0.1% |
| 100 | 19 | |
| 101 | 2 | 0.2% |
| 102 | 5 | 0.4% |
| Value | Count | Frequency (%) |
| 200 | 5 | 0.4% |
| 192 | 2 | 0.2% |
| 190 | 2 | 0.2% |
| 185 | 1 | 0.1% |
| 180 | 15 | |
| 178 | 5 | 0.4% |
| 174 | 2 | 0.2% |
| 172 | 3 | 0.3% |
| 170 | 16 | |
| 165 | 3 | 0.3% |
| Distinct | 222 |
|---|---|
| Distinct (%) | 18.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 210.3638655 |
| Minimum | 0 |
|---|---|
| Maximum | 603 |
| Zeros | 172 |
| Zeros (%) | 14.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 188 |
| median | 229 |
| Q3 | 269.75 |
| 95-th percentile | 330 |
| Maximum | 603 |
| Range | 603 |
| Interquartile range (IQR) | 81.75 |
Descriptive statistics
| Standard deviation | 101.420489 |
|---|---|
| Coefficient of variation (CV) | 0.4821193449 |
| Kurtosis | 0.8242640545 |
| Mean | 210.3638655 |
| Median Absolute Deviation (MAD) | 41 |
| Skewness | -0.7816458178 |
| Sum | 250333 |
| Variance | 10286.1156 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 172 | 14.5% |
| 254 | 16 | 1.3% |
| 234 | 13 | 1.1% |
| 204 | 13 | 1.1% |
| 211 | 13 | 1.1% |
| 223 | 12 | 1.0% |
| 230 | 12 | 1.0% |
| 219 | 12 | 1.0% |
| 197 | 11 | 0.9% |
| 243 | 11 | 0.9% |
| Other values (212) | 905 |
| Value | Count | Frequency (%) |
| 0 | 172 | |
| 85 | 1 | 0.1% |
| 100 | 2 | 0.2% |
| 110 | 1 | 0.1% |
| 113 | 1 | 0.1% |
| 117 | 1 | 0.1% |
| 123 | 1 | 0.1% |
| 126 | 3 | 0.3% |
| 129 | 1 | 0.1% |
| 131 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 603 | 1 | |
| 564 | 2 | |
| 529 | 1 | |
| 518 | 1 | |
| 491 | 1 | |
| 468 | 1 | |
| 466 | 1 | |
| 458 | 1 | |
| 417 | 2 | |
| 412 | 1 |
Fast_Glucose
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 67.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1190 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 936 | |
| 1 | 254 | 21.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 936 | |
| 1 | 254 | 21.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 936 | |
| 1 | 254 | 21.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1190 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 936 | |
| 1 | 254 | 21.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1190 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 936 | |
| 1 | 254 | 21.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1190 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 936 | |
| 1 | 254 | 21.3% |
Rest_ECG
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 67.5 KiB |
| 0 | |
|---|---|
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1190 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 2 | 325 | |
| 1 | 181 | 15.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 2 | 325 | |
| 1 | 181 | 15.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 2 | 325 | |
| 1 | 181 | 15.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1190 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 2 | 325 | |
| 1 | 181 | 15.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1190 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 2 | 325 | |
| 1 | 181 | 15.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1190 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 684 | |
| 2 | 325 | |
| 1 | 181 | 15.2% |
| Distinct | 119 |
|---|---|
| Distinct (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 139.7327731 |
| Minimum | 60 |
|---|---|
| Maximum | 202 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.4 KiB |
Quantile statistics
| Minimum | 60 |
|---|---|
| 5-th percentile | 97 |
| Q1 | 121 |
| median | 140.5 |
| Q3 | 160 |
| 95-th percentile | 179 |
| Maximum | 202 |
| Range | 142 |
| Interquartile range (IQR) | 39 |
Descriptive statistics
| Standard deviation | 25.51763555 |
|---|---|
| Coefficient of variation (CV) | 0.1826173988 |
| Kurtosis | -0.4603229879 |
| Mean | 139.7327731 |
| Median Absolute Deviation (MAD) | 19.5 |
| Skewness | -0.2330977118 |
| Sum | 166282 |
| Variance | 651.149724 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 150 | 49 | 4.1% |
| 140 | 46 | 3.9% |
| 120 | 39 | 3.3% |
| 130 | 36 | 3.0% |
| 160 | 35 | 2.9% |
| 125 | 28 | 2.4% |
| 170 | 25 | 2.1% |
| 122 | 24 | 2.0% |
| 162 | 23 | 1.9% |
| 110 | 23 | 1.9% |
| Other values (109) | 862 |
| Value | Count | Frequency (%) |
| 60 | 1 | |
| 63 | 1 | |
| 67 | 1 | |
| 69 | 1 | |
| 70 | 1 | |
| 71 | 2 | |
| 72 | 2 | |
| 73 | 1 | |
| 77 | 1 | |
| 78 | 1 |
| Value | Count | Frequency (%) |
| 202 | 2 | 0.2% |
| 195 | 2 | 0.2% |
| 194 | 2 | 0.2% |
| 192 | 2 | 0.2% |
| 190 | 3 | |
| 188 | 3 | |
| 187 | 2 | 0.2% |
| 186 | 4 | |
| 185 | 5 | |
| 184 | 5 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 67.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1190 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 729 | |
| 1 | 461 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 729 | |
| 1 | 461 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 729 | |
| 1 | 461 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1190 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 729 | |
| 1 | 461 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1190 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 729 | |
| 1 | 461 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1190 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 729 | |
| 1 | 461 |
| Distinct | 53 |
|---|---|
| Distinct (%) | 4.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9227731092 |
| Minimum | -2.6 |
|---|---|
| Maximum | 6.2 |
| Zeros | 455 |
| Zeros (%) | 38.2% |
| Negative | 13 |
| Negative (%) | 1.1% |
| Memory size | 9.4 KiB |
Quantile statistics
| Minimum | -2.6 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.6 |
| Q3 | 1.6 |
| 95-th percentile | 3 |
| Maximum | 6.2 |
| Range | 8.8 |
| Interquartile range (IQR) | 1.6 |
Descriptive statistics
| Standard deviation | 1.086337219 |
|---|---|
| Coefficient of variation (CV) | 1.177252791 |
| Kurtosis | 1.408578814 |
| Mean | 0.9227731092 |
| Median Absolute Deviation (MAD) | 0.6 |
| Skewness | 1.094005883 |
| Sum | 1098.1 |
| Variance | 1.180128552 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 455 | |
| 1 | 98 | 8.2% |
| 2 | 84 | 7.1% |
| 1.5 | 58 | 4.9% |
| 1.2 | 40 | 3.4% |
| 0.2 | 33 | 2.8% |
| 3 | 32 | 2.7% |
| 1.4 | 31 | 2.6% |
| 0.8 | 27 | 2.3% |
| 1.8 | 27 | 2.3% |
| Other values (43) | 305 |
| Value | Count | Frequency (%) |
| -2.6 | 1 | |
| -2 | 1 | |
| -1.5 | 1 | |
| -1.1 | 1 | |
| -1 | 2 | |
| -0.9 | 1 | |
| -0.8 | 1 | |
| -0.7 | 1 | |
| -0.5 | 2 | |
| -0.1 | 2 |
| Value | Count | Frequency (%) |
| 6.2 | 2 | 0.2% |
| 5.6 | 2 | 0.2% |
| 5 | 1 | 0.1% |
| 4.4 | 1 | 0.1% |
| 4.2 | 4 | 0.3% |
| 4 | 10 | |
| 3.8 | 2 | 0.2% |
| 3.7 | 1 | 0.1% |
| 3.6 | 8 | |
| 3.5 | 3 | 0.3% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 67.5 KiB |
| 2 | |
|---|---|
| 1 | |
| 3 | |
| 0 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1190 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 2 |
| 3rd row | 1 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 582 | |
| 1 | 526 | |
| 3 | 81 | 6.8% |
| 0 | 1 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 582 | |
| 1 | 526 | |
| 3 | 81 | 6.8% |
| 0 | 1 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 582 | |
| 1 | 526 | |
| 3 | 81 | 6.8% |
| 0 | 1 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1190 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 582 | |
| 1 | 526 | |
| 3 | 81 | 6.8% |
| 0 | 1 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1190 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 582 | |
| 1 | 526 | |
| 3 | 81 | 6.8% |
| 0 | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1190 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 582 | |
| 1 | 526 | |
| 3 | 81 | 6.8% |
| 0 | 1 | 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 67.5 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1190 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 629 | |
| 0 | 561 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 629 | |
| 0 | 561 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 629 | |
| 0 | 561 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1190 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 629 | |
| 0 | 561 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1190 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 629 | |
| 0 | 561 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1190 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 629 | |
| 0 | 561 |
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.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Age | Sex | Chest_Pain | Rest_Systolic | Cholesterol | Fast_Glucose | Rest_ECG | Max_Heart | Ex_Angina | Old_Peak | ST_Slope | Cardio | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 40 | 1 | 2 | 140 | 289 | 0 | 0 | 172 | 0 | 0.0 | 1 | 0 |
| 1 | 49 | 0 | 3 | 160 | 180 | 0 | 0 | 156 | 0 | 1.0 | 2 | 1 |
| 2 | 37 | 1 | 2 | 130 | 283 | 0 | 1 | 98 | 0 | 0.0 | 1 | 0 |
| 3 | 48 | 0 | 4 | 138 | 214 | 0 | 0 | 108 | 1 | 1.5 | 2 | 1 |
| 4 | 54 | 1 | 3 | 150 | 195 | 0 | 0 | 122 | 0 | 0.0 | 1 | 0 |
| 5 | 39 | 1 | 3 | 120 | 339 | 0 | 0 | 170 | 0 | 0.0 | 1 | 0 |
| 6 | 45 | 0 | 2 | 130 | 237 | 0 | 0 | 170 | 0 | 0.0 | 1 | 0 |
| 7 | 54 | 1 | 2 | 110 | 208 | 0 | 0 | 142 | 0 | 0.0 | 1 | 0 |
| 8 | 37 | 1 | 4 | 140 | 207 | 0 | 0 | 130 | 1 | 1.5 | 2 | 1 |
| 9 | 48 | 0 | 2 | 120 | 284 | 0 | 0 | 120 | 0 | 0.0 | 1 | 0 |
Last rows
| Age | Sex | Chest_Pain | Rest_Systolic | Cholesterol | Fast_Glucose | Rest_ECG | Max_Heart | Ex_Angina | Old_Peak | ST_Slope | Cardio | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1180 | 63 | 1 | 4 | 140 | 187 | 0 | 2 | 144 | 1 | 4.0 | 1 | 1 |
| 1181 | 63 | 0 | 4 | 124 | 197 | 0 | 0 | 136 | 1 | 0.0 | 2 | 1 |
| 1182 | 41 | 1 | 2 | 120 | 157 | 0 | 0 | 182 | 0 | 0.0 | 1 | 0 |
| 1183 | 59 | 1 | 4 | 164 | 176 | 1 | 2 | 90 | 0 | 1.0 | 2 | 1 |
| 1184 | 57 | 0 | 4 | 140 | 241 | 0 | 0 | 123 | 1 | 0.2 | 2 | 1 |
| 1185 | 45 | 1 | 1 | 110 | 264 | 0 | 0 | 132 | 0 | 1.2 | 2 | 1 |
| 1186 | 68 | 1 | 4 | 144 | 193 | 1 | 0 | 141 | 0 | 3.4 | 2 | 1 |
| 1187 | 57 | 1 | 4 | 130 | 131 | 0 | 0 | 115 | 1 | 1.2 | 2 | 1 |
| 1188 | 57 | 0 | 2 | 130 | 236 | 0 | 2 | 174 | 0 | 0.0 | 2 | 1 |
| 1189 | 38 | 1 | 3 | 138 | 175 | 0 | 0 | 173 | 0 | 0.0 | 1 | 0 |
Most frequently occurring
| Age | Sex | Chest_Pain | Rest_Systolic | Cholesterol | Fast_Glucose | Rest_ECG | Max_Heart | Ex_Angina | Old_Peak | ST_Slope | Cardio | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 29 | 1 | 2 | 130 | 204 | 0 | 2 | 202 | 0 | 0.0 | 1 | 0 | 2 |
| 1 | 34 | 0 | 2 | 118 | 210 | 0 | 0 | 192 | 0 | 0.7 | 1 | 0 | 2 |
| 2 | 34 | 1 | 1 | 118 | 182 | 0 | 2 | 174 | 0 | 0.0 | 1 | 0 | 2 |
| 3 | 35 | 0 | 4 | 138 | 183 | 0 | 0 | 182 | 0 | 1.4 | 1 | 0 | 2 |
| 4 | 35 | 1 | 4 | 120 | 198 | 0 | 0 | 130 | 1 | 1.6 | 2 | 1 | 2 |
| 5 | 35 | 1 | 4 | 126 | 282 | 0 | 2 | 156 | 1 | 0.0 | 1 | 1 | 2 |
| 6 | 37 | 0 | 3 | 120 | 215 | 0 | 0 | 170 | 0 | 0.0 | 1 | 0 | 2 |
| 7 | 37 | 1 | 3 | 130 | 250 | 0 | 0 | 187 | 0 | 3.5 | 3 | 0 | 2 |
| 8 | 38 | 1 | 1 | 120 | 231 | 0 | 0 | 182 | 1 | 3.8 | 2 | 1 | 2 |
| 9 | 39 | 0 | 3 | 94 | 199 | 0 | 0 | 179 | 0 | 0.0 | 1 | 0 | 2 |