Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 1025 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 302 |
| Duplicate rows (%) | 29.5% |
| Total size in memory | 53.2 KiB |
| Average record size in memory | 53.1 B |
Variable types
| Numeric | 4 |
|---|---|
| Categorical | 7 |
| Dataset has 302 (29.5%) duplicate rows | Duplicates |
chest_pain_type_non-anginal pain is highly correlated with chest_pain_type_typical angina | High correlation |
chest_pain_type_typical angina is highly correlated with chest_pain_type_non-anginal pain and 1 other fields | High correlation |
thalassemia_normal is highly correlated with thalassemia_reversable defect and 1 other fields | High correlation |
thalassemia_reversable defect is highly correlated with thalassemia_normal | High correlation |
diagnosis is highly correlated with chest_pain_type_typical angina and 1 other fields | High correlation |
chest_pain_type_non-anginal pain is highly correlated with chest_pain_type_typical angina | High correlation |
chest_pain_type_typical angina is highly correlated with chest_pain_type_non-anginal pain and 1 other fields | High correlation |
thalassemia_normal is highly correlated with thalassemia_reversable defect and 1 other fields | High correlation |
thalassemia_reversable defect is highly correlated with thalassemia_normal | High correlation |
diagnosis is highly correlated with chest_pain_type_typical angina and 1 other fields | High correlation |
chest_pain_type_non-anginal pain is highly correlated with chest_pain_type_typical angina | High correlation |
chest_pain_type_typical angina is highly correlated with chest_pain_type_non-anginal pain and 1 other fields | High correlation |
thalassemia_normal is highly correlated with thalassemia_reversable defect and 1 other fields | High correlation |
thalassemia_reversable defect is highly correlated with thalassemia_normal | High correlation |
diagnosis is highly correlated with chest_pain_type_typical angina and 1 other fields | High correlation |
thalassemia_normal is highly correlated with thalassemia_reversable defect and 1 other fields | High correlation |
chest_pain_type_typical angina is highly correlated with chest_pain_type_non-anginal pain and 1 other fields | High correlation |
thalassemia_reversable defect is highly correlated with thalassemia_normal | High correlation |
chest_pain_type_non-anginal pain is highly correlated with chest_pain_type_typical angina | High correlation |
diagnosis is highly correlated with thalassemia_normal and 1 other fields | High correlation |
age is highly correlated with max_heart_rate_achieved and 1 other fields | High correlation |
max_heart_rate_achieved is highly correlated with age and 3 other fields | High correlation |
num_major_vessels is highly correlated with age | High correlation |
chest_pain_type_non-anginal pain is highly correlated with chest_pain_type_typical angina | High correlation |
chest_pain_type_typical angina is highly correlated with max_heart_rate_achieved and 4 other fields | High correlation |
exercise_induced_angina_yes is highly correlated with max_heart_rate_achieved and 2 other fields | High correlation |
thalassemia_normal is highly correlated with chest_pain_type_typical angina and 2 other fields | High correlation |
thalassemia_reversable defect is highly correlated with thalassemia_normal and 1 other fields | High correlation |
diagnosis is highly correlated with max_heart_rate_achieved and 4 other fields | High correlation |
st_depression has 329 (32.1%) zeros | Zeros |
Reproduction
| Analysis started | 2022-09-04 02:44:30.893872 |
|---|---|
| Analysis finished | 2022-09-04 02:44:35.966887 |
| Duration | 5.07 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 41 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 54.43414634 |
| Minimum | 29 |
|---|---|
| Maximum | 77 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.1 KiB |
Quantile statistics
| Minimum | 29 |
|---|---|
| 5-th percentile | 39 |
| Q1 | 48 |
| median | 56 |
| Q3 | 61 |
| 95-th percentile | 68 |
| Maximum | 77 |
| Range | 48 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.072290233 |
|---|---|
| Coefficient of variation (CV) | 0.1666654268 |
| Kurtosis | -0.5256178129 |
| Mean | 54.43414634 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.2488659017 |
| Sum | 55795 |
| Variance | 82.30645008 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 58 | 68 | 6.6% |
| 57 | 57 | 5.6% |
| 54 | 53 | 5.2% |
| 59 | 46 | 4.5% |
| 52 | 43 | 4.2% |
| 51 | 39 | 3.8% |
| 56 | 39 | 3.8% |
| 62 | 37 | 3.6% |
| 60 | 37 | 3.6% |
| 44 | 36 | 3.5% |
| Other values (31) | 570 |
| Value | Count | Frequency (%) |
| 29 | 4 | 0.4% |
| 34 | 6 | 0.6% |
| 35 | 15 | |
| 37 | 6 | 0.6% |
| 38 | 12 | 1.2% |
| 39 | 14 | |
| 40 | 11 | 1.1% |
| 41 | 32 | |
| 42 | 26 | |
| 43 | 26 |
| Value | Count | Frequency (%) |
| 77 | 3 | 0.3% |
| 76 | 3 | 0.3% |
| 74 | 3 | 0.3% |
| 71 | 11 | 1.1% |
| 70 | 14 | |
| 69 | 9 | 0.9% |
| 68 | 12 | 1.2% |
| 67 | 31 | |
| 66 | 25 | |
| 65 | 27 |
cholesterol
Real number (ℝ≥0)
| Distinct | 152 |
|---|---|
| Distinct (%) | 14.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 246 |
| Minimum | 126 |
|---|---|
| Maximum | 564 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.1 KiB |
Quantile statistics
| Minimum | 126 |
|---|---|
| 5-th percentile | 175 |
| Q1 | 211 |
| median | 240 |
| Q3 | 275 |
| 95-th percentile | 330 |
| Maximum | 564 |
| Range | 438 |
| Interquartile range (IQR) | 64 |
Descriptive statistics
| Standard deviation | 51.59251021 |
|---|---|
| Coefficient of variation (CV) | 0.2097256512 |
| Kurtosis | 3.996803049 |
| Mean | 246 |
| Median Absolute Deviation (MAD) | 33 |
| Skewness | 1.074072778 |
| Sum | 252150 |
| Variance | 2661.787109 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 204 | 21 | 2.0% |
| 234 | 21 | 2.0% |
| 197 | 19 | 1.9% |
| 212 | 18 | 1.8% |
| 254 | 17 | 1.7% |
| 269 | 16 | 1.6% |
| 177 | 14 | 1.4% |
| 240 | 14 | 1.4% |
| 282 | 14 | 1.4% |
| 239 | 13 | 1.3% |
| Other values (142) | 858 |
| Value | Count | Frequency (%) |
| 126 | 3 | 0.3% |
| 131 | 3 | 0.3% |
| 141 | 3 | 0.3% |
| 149 | 8 | |
| 157 | 4 | |
| 160 | 3 | 0.3% |
| 164 | 3 | 0.3% |
| 166 | 4 | |
| 167 | 4 | |
| 168 | 3 | 0.3% |
| Value | Count | Frequency (%) |
| 564 | 3 | |
| 417 | 3 | |
| 409 | 3 | |
| 407 | 4 | |
| 394 | 3 | |
| 360 | 3 | |
| 354 | 3 | |
| 353 | 4 | |
| 342 | 4 | |
| 341 | 4 |
| Distinct | 91 |
|---|---|
| Distinct (%) | 8.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 149.1141463 |
| Minimum | 71 |
|---|---|
| Maximum | 202 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.1 KiB |
Quantile statistics
| Minimum | 71 |
|---|---|
| 5-th percentile | 108 |
| Q1 | 132 |
| median | 152 |
| Q3 | 166 |
| 95-th percentile | 182 |
| Maximum | 202 |
| Range | 131 |
| Interquartile range (IQR) | 34 |
Descriptive statistics
| Standard deviation | 23.00572375 |
|---|---|
| Coefficient of variation (CV) | 0.1542826372 |
| Kurtosis | -0.08882248803 |
| Mean | 149.1141463 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | -0.5137771771 |
| Sum | 152842 |
| Variance | 529.2633251 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 162 | 35 | 3.4% |
| 160 | 31 | 3.0% |
| 163 | 29 | 2.8% |
| 173 | 28 | 2.7% |
| 152 | 28 | 2.7% |
| 144 | 26 | 2.5% |
| 132 | 26 | 2.5% |
| 150 | 25 | 2.4% |
| 125 | 25 | 2.4% |
| 143 | 23 | 2.2% |
| Other values (81) | 749 |
| Value | Count | Frequency (%) |
| 71 | 4 | 0.4% |
| 88 | 3 | 0.3% |
| 90 | 3 | 0.3% |
| 95 | 4 | 0.4% |
| 96 | 7 | |
| 97 | 4 | 0.4% |
| 99 | 3 | 0.3% |
| 103 | 8 | |
| 105 | 10 | |
| 106 | 3 | 0.3% |
| Value | Count | Frequency (%) |
| 202 | 4 | |
| 195 | 3 | |
| 194 | 3 | |
| 192 | 3 | |
| 190 | 4 | |
| 188 | 3 | |
| 187 | 3 | |
| 186 | 6 | |
| 185 | 3 | |
| 184 | 3 |
| Distinct | 40 |
|---|---|
| Distinct (%) | 3.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.071512195 |
| Minimum | 0 |
|---|---|
| Maximum | 6.2 |
| Zeros | 329 |
| Zeros (%) | 32.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.8 |
| Q3 | 1.8 |
| 95-th percentile | 3.4 |
| Maximum | 6.2 |
| Range | 6.2 |
| Interquartile range (IQR) | 1.8 |
Descriptive statistics
| Standard deviation | 1.175053255 |
|---|---|
| Coefficient of variation (CV) | 1.096630781 |
| Kurtosis | 1.314470889 |
| Mean | 1.071512195 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 1.210899388 |
| Sum | 1098.3 |
| Variance | 1.380750152 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 0 | 329 | |
| 1.2 | 58 | 5.7% |
| 1 | 51 | 5.0% |
| 0.6 | 47 | 4.6% |
| 0.8 | 44 | 4.3% |
| 1.4 | 44 | 4.3% |
| 1.6 | 37 | 3.6% |
| 0.2 | 37 | 3.6% |
| 1.8 | 36 | 3.5% |
| 2 | 32 | 3.1% |
| Other values (30) | 310 |
| Value | Count | Frequency (%) |
| 0 | 329 | |
| 0.1 | 23 | 2.2% |
| 0.2 | 37 | 3.6% |
| 0.3 | 10 | 1.0% |
| 0.4 | 30 | 2.9% |
| 0.5 | 15 | 1.5% |
| 0.6 | 47 | 4.6% |
| 0.7 | 3 | 0.3% |
| 0.8 | 44 | 4.3% |
| 0.9 | 10 | 1.0% |
| Value | Count | Frequency (%) |
| 6.2 | 3 | 0.3% |
| 5.6 | 4 | 0.4% |
| 4.4 | 4 | 0.4% |
| 4.2 | 6 | 0.6% |
| 4 | 12 | |
| 3.8 | 4 | 0.4% |
| 3.6 | 15 | |
| 3.5 | 3 | 0.3% |
| 3.4 | 10 | |
| 3.2 | 8 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.1 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | |
| 3 | |
| 4 | 18 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1025 |
|---|---|
| Distinct characters | 5 |
| 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 | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 578 | |
| 1 | 226 | 22.0% |
| 2 | 134 | 13.1% |
| 3 | 69 | 6.7% |
| 4 | 18 | 1.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 578 | |
| 1 | 226 | 22.0% |
| 2 | 134 | 13.1% |
| 3 | 69 | 6.7% |
| 4 | 18 | 1.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 578 | |
| 1 | 226 | 22.0% |
| 2 | 134 | 13.1% |
| 3 | 69 | 6.7% |
| 4 | 18 | 1.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1025 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 578 | |
| 1 | 226 | 22.0% |
| 2 | 134 | 13.1% |
| 3 | 69 | 6.7% |
| 4 | 18 | 1.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1025 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 578 | |
| 1 | 226 | 22.0% |
| 2 | 134 | 13.1% |
| 3 | 69 | 6.7% |
| 4 | 18 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1025 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 578 | |
| 1 | 226 | 22.0% |
| 2 | 134 | 13.1% |
| 3 | 69 | 6.7% |
| 4 | 18 | 1.8% |
chest_pain_type_non-anginal pain
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1025 |
|---|---|
| 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 | 741 | |
| 1 | 284 | 27.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 741 | |
| 1 | 284 | 27.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 741 | |
| 1 | 284 | 27.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1025 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 741 | |
| 1 | 284 | 27.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1025 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 741 | |
| 1 | 284 | 27.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1025 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 741 | |
| 1 | 284 | 27.7% |
chest_pain_type_typical angina
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1025 |
|---|---|
| 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 | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 528 | |
| 1 | 497 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 528 | |
| 1 | 497 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 528 | |
| 1 | 497 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1025 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 528 | |
| 1 | 497 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1025 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 528 | |
| 1 | 497 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1025 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 528 | |
| 1 | 497 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1025 |
|---|---|
| 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 | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 680 | |
| 1 | 345 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 680 | |
| 1 | 345 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 680 | |
| 1 | 345 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1025 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 680 | |
| 1 | 345 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1025 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 680 | |
| 1 | 345 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1025 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 680 | |
| 1 | 345 |
thalassemia_normal
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.1 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1025 |
|---|---|
| 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 | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 544 | |
| 0 | 481 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 544 | |
| 0 | 481 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 544 | |
| 0 | 481 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1025 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 544 | |
| 0 | 481 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1025 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 544 | |
| 0 | 481 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1025 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 544 | |
| 0 | 481 |
thalassemia_reversable defect
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1025 |
|---|---|
| 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 | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 615 | |
| 1 | 410 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 615 | |
| 1 | 410 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 615 | |
| 1 | 410 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1025 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 615 | |
| 1 | 410 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1025 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 615 | |
| 1 | 410 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1025 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 615 | |
| 1 | 410 |
diagnosis
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.1 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1025 |
|---|---|
| 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 (%) |
| 1 | 526 | |
| 0 | 499 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 526 | |
| 0 | 499 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 526 | |
| 0 | 499 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1025 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 526 | |
| 0 | 499 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1025 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 526 | |
| 0 | 499 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1025 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 526 | |
| 0 | 499 |
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.
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.
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.
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.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. 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 | cholesterol | max_heart_rate_achieved | st_depression | num_major_vessels | chest_pain_type_non-anginal pain | chest_pain_type_typical angina | exercise_induced_angina_yes | thalassemia_normal | thalassemia_reversable defect | diagnosis | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 52 | 212 | 168 | 1.0 | 2 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1 | 53 | 203 | 155 | 3.1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 |
| 2 | 70 | 174 | 125 | 2.6 | 0 | 0 | 1 | 1 | 0 | 1 | 0 |
| 3 | 61 | 203 | 161 | 0.0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 4 | 62 | 294 | 106 | 1.9 | 3 | 0 | 1 | 0 | 1 | 0 | 0 |
| 5 | 58 | 248 | 122 | 1.0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
| 6 | 58 | 318 | 140 | 4.4 | 3 | 0 | 1 | 0 | 0 | 0 | 0 |
| 7 | 55 | 289 | 145 | 0.8 | 1 | 0 | 1 | 1 | 0 | 1 | 0 |
| 8 | 46 | 249 | 144 | 0.8 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 9 | 54 | 286 | 116 | 3.2 | 2 | 0 | 1 | 1 | 1 | 0 | 0 |
Last rows
| age | cholesterol | max_heart_rate_achieved | st_depression | num_major_vessels | chest_pain_type_non-anginal pain | chest_pain_type_typical angina | exercise_induced_angina_yes | thalassemia_normal | thalassemia_reversable defect | diagnosis | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1015 | 58 | 216 | 131 | 2.2 | 3 | 0 | 1 | 1 | 0 | 1 | 0 |
| 1016 | 65 | 282 | 174 | 1.4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| 1017 | 53 | 282 | 95 | 2.0 | 2 | 0 | 1 | 1 | 0 | 1 | 0 |
| 1018 | 41 | 172 | 158 | 0.0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 1019 | 47 | 204 | 143 | 0.1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
| 1020 | 59 | 221 | 164 | 0.0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 |
| 1021 | 60 | 258 | 141 | 2.8 | 1 | 0 | 1 | 1 | 0 | 1 | 0 |
| 1022 | 47 | 275 | 118 | 1.0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 |
| 1023 | 50 | 254 | 159 | 0.0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
| 1024 | 54 | 188 | 113 | 1.4 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
Most frequently occurring
| age | cholesterol | max_heart_rate_achieved | st_depression | num_major_vessels | chest_pain_type_non-anginal pain | chest_pain_type_typical angina | exercise_induced_angina_yes | thalassemia_normal | thalassemia_reversable defect | diagnosis | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | 38 | 175 | 173 | 0.0 | 4 | 1 | 0 | 0 | 1 | 0 | 1 | 8 |
| 0 | 29 | 204 | 202 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 |
| 3 | 35 | 183 | 182 | 1.4 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 4 |
| 4 | 35 | 192 | 174 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 |
| 5 | 35 | 198 | 130 | 1.6 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 4 |
| 10 | 38 | 231 | 182 | 3.8 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 4 |
| 12 | 39 | 219 | 140 | 1.2 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 4 |
| 13 | 39 | 220 | 152 | 0.0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 4 |
| 15 | 40 | 167 | 114 | 2.0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 4 |
| 17 | 40 | 223 | 181 | 0.0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 4 |