Dataset statistics
| Number of variables | 5 |
|---|---|
| Number of observations | 100 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 4.5 KiB |
| Average record size in memory | 46.3 B |
Variable types
| Numeric | 5 |
|---|
Dataset
| Description | 당뇨 환자들의 최초 진단시점점의 키, 몸무게와 같은 신체 계측 정보와 수축기/이완기 혈압을 포함하는 생체 징후 데이터. 키와 몸무게 데이터를 이용한 Body Mass Index(BMI)를 생성할 수 있으며 혈압 데이터를 이용하여 고혈압 여부를 판단할 수 있음 |
|---|---|
| Author | 가톨릭대학교 은평성모병원 |
| URL | http://cmcdata.net/data/dataset/diabetes_vital-eunpyeong |
Reproduction
| Analysis started | 2023-10-08 18:56:30.942515 |
|---|---|
| Analysis finished | 2023-10-08 18:56:36.923739 |
| Duration | 5.98 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
RID
Real number (ℝ)
UNIQUE
| Distinct | 100 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.5 |
| Minimum | 1 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 5.95 |
| Q1 | 25.75 |
| median | 50.5 |
| Q3 | 75.25 |
| 95-th percentile | 95.05 |
| Maximum | 100 |
| Range | 99 |
| Interquartile range (IQR) | 49.5 |
Descriptive statistics
| Standard deviation | 29.011492 |
|---|---|
| Coefficient of variation (CV) | 0.57448499 |
| Kurtosis | -1.2 |
| Mean | 50.5 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 0 |
| Sum | 5050 |
| Variance | 841.66667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 1.0% |
| 65 | 1 | 1.0% |
| 75 | 1 | 1.0% |
| 74 | 1 | 1.0% |
| 73 | 1 | 1.0% |
| 72 | 1 | 1.0% |
| 71 | 1 | 1.0% |
| 70 | 1 | 1.0% |
| 69 | 1 | 1.0% |
| 68 | 1 | 1.0% |
| Other values (90) | 90 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 100 | 1 | |
| 99 | 1 | |
| 98 | 1 | |
| 97 | 1 | |
| 96 | 1 | |
| 95 | 1 | |
| 94 | 1 | |
| 93 | 1 | |
| 92 | 1 | |
| 91 | 1 |
BDHT
Real number (ℝ)
| Distinct | 83 |
|---|---|
| Distinct (%) | 83.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 160.696 |
| Minimum | 141.5 |
|---|---|
| Maximum | 186.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 141.5 |
|---|---|
| 5-th percentile | 146.395 |
| Q1 | 152.975 |
| median | 160.25 |
| Q3 | 168.05 |
| 95-th percentile | 174.05 |
| Maximum | 186.7 |
| Range | 45.2 |
| Interquartile range (IQR) | 15.075 |
Descriptive statistics
| Standard deviation | 9.5459433 |
|---|---|
| Coefficient of variation (CV) | 0.05940374 |
| Kurtosis | -0.72771125 |
| Mean | 160.696 |
| Median Absolute Deviation (MAD) | 7.75 |
| Skewness | 0.11024353 |
| Sum | 16069.6 |
| Variance | 91.125034 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 168.0 | 4 | 4.0% |
| 171.0 | 3 | 3.0% |
| 154.0 | 2 | 2.0% |
| 155.2 | 2 | 2.0% |
| 159.0 | 2 | 2.0% |
| 173.0 | 2 | 2.0% |
| 169.4 | 2 | 2.0% |
| 164.7 | 2 | 2.0% |
| 152.4 | 2 | 2.0% |
| 172.4 | 2 | 2.0% |
| Other values (73) | 77 |
| Value | Count | Frequency (%) |
| 141.5 | 1 | |
| 142.7 | 1 | |
| 143.8 | 1 | |
| 144.5 | 1 | |
| 146.3 | 1 | |
| 146.4 | 1 | |
| 147.0 | 1 | |
| 147.5 | 1 | |
| 147.8 | 1 | |
| 148.1 | 1 |
| Value | Count | Frequency (%) |
| 186.7 | 1 | |
| 179.2 | 1 | |
| 178.3 | 1 | |
| 176.0 | 1 | |
| 175.0 | 1 | |
| 174.0 | 1 | |
| 173.1 | 1 | |
| 173.0 | 2 | |
| 172.4 | 2 | |
| 172.3 | 1 |
BDWT
Real number (ℝ)
| Distinct | 83 |
|---|---|
| Distinct (%) | 83.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 70.664 |
| Minimum | 41 |
|---|---|
| Maximum | 616 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 41 |
|---|---|
| 5-th percentile | 48.095 |
| Q1 | 56.025 |
| median | 63.475 |
| Q3 | 73.7 |
| 95-th percentile | 88.2875 |
| Maximum | 616 |
| Range | 575 |
| Interquartile range (IQR) | 17.675 |
Descriptive statistics
| Standard deviation | 56.351863 |
|---|---|
| Coefficient of variation (CV) | 0.79746212 |
| Kurtosis | 91.040006 |
| Mean | 70.664 |
| Median Absolute Deviation (MAD) | 8.55 |
| Skewness | 9.3318279 |
| Sum | 7066.4 |
| Variance | 3175.5325 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 74.0 | 4 | 4.0% |
| 66.0 | 3 | 3.0% |
| 55.8 | 3 | 3.0% |
| 51.7 | 3 | 3.0% |
| 73.0 | 3 | 3.0% |
| 64.0 | 2 | 2.0% |
| 57.7 | 2 | 2.0% |
| 61.0 | 2 | 2.0% |
| 62.0 | 2 | 2.0% |
| 59.6 | 2 | 2.0% |
| Other values (73) | 74 |
| Value | Count | Frequency (%) |
| 41.0 | 1 | 1.0% |
| 44.5 | 1 | 1.0% |
| 45.8 | 1 | 1.0% |
| 47.2 | 1 | 1.0% |
| 48.0 | 1 | 1.0% |
| 48.1 | 1 | 1.0% |
| 49.6 | 1 | 1.0% |
| 49.7 | 1 | 1.0% |
| 50.0 | 1 | 1.0% |
| 51.7 | 3 |
| Value | Count | Frequency (%) |
| 616.0 | 1 | |
| 97.1 | 1 | |
| 94.2 | 1 | |
| 92.0 | 1 | |
| 89.0 | 1 | |
| 88.25 | 1 | |
| 86.1 | 1 | |
| 85.8 | 1 | |
| 83.9 | 1 | |
| 83.2 | 1 |
SYSTOLIC
Real number (ℝ)
HIGH CORRELATION
| Distinct | 29 |
|---|---|
| Distinct (%) | 29.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 132.81 |
| Minimum | 90 |
|---|---|
| Maximum | 481 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 90 |
|---|---|
| 5-th percentile | 100 |
| Q1 | 120 |
| median | 130 |
| Q3 | 140 |
| 95-th percentile | 165.25 |
| Maximum | 481 |
| Range | 391 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 40.120449 |
|---|---|
| Coefficient of variation (CV) | 0.30208906 |
| Kurtosis | 58.068361 |
| Mean | 132.81 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 6.7983324 |
| Sum | 13281 |
| Variance | 1609.6504 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 120 | 25 | |
| 130 | 17 | |
| 140 | 12 | |
| 110 | 9 | 9.0% |
| 100 | 6 | 6.0% |
| 160 | 3 | 3.0% |
| 150 | 3 | 3.0% |
| 145 | 2 | 2.0% |
| 170 | 2 | 2.0% |
| 137 | 2 | 2.0% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| 90 | 1 | 1.0% |
| 100 | 6 | 6.0% |
| 103 | 1 | 1.0% |
| 110 | 9 | 9.0% |
| 111 | 1 | 1.0% |
| 115 | 1 | 1.0% |
| 118 | 1 | 1.0% |
| 119 | 1 | 1.0% |
| 120 | 25 | |
| 122 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 481 | 1 | 1.0% |
| 212 | 1 | 1.0% |
| 180 | 1 | 1.0% |
| 170 | 2 | |
| 165 | 1 | 1.0% |
| 162 | 1 | 1.0% |
| 160 | 3 | |
| 159 | 1 | 1.0% |
| 158 | 1 | 1.0% |
| 150 | 3 |
DIASTOLIC
Real number (ℝ)
HIGH CORRELATION
| Distinct | 25 |
|---|---|
| Distinct (%) | 25.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 83.9 |
| Minimum | 50 |
|---|---|
| Maximum | 802 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 50 |
|---|---|
| 5-th percentile | 60 |
| Q1 | 70 |
| median | 80 |
| Q3 | 80 |
| 95-th percentile | 93 |
| Maximum | 802 |
| Range | 752 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 73.243402 |
|---|---|
| Coefficient of variation (CV) | 0.87298453 |
| Kurtosis | 96.07348 |
| Mean | 83.9 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 9.7064455 |
| Sum | 8390 |
| Variance | 5364.596 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 80 | 33 | |
| 70 | 18 | |
| 90 | 10 | 10.0% |
| 60 | 10 | 10.0% |
| 84 | 3 | 3.0% |
| 75 | 3 | 3.0% |
| 82 | 2 | 2.0% |
| 76 | 2 | 2.0% |
| 69 | 2 | 2.0% |
| 93 | 2 | 2.0% |
| Other values (15) | 15 |
| Value | Count | Frequency (%) |
| 50 | 1 | 1.0% |
| 56 | 1 | 1.0% |
| 59 | 1 | 1.0% |
| 60 | 10 | |
| 63 | 1 | 1.0% |
| 66 | 1 | 1.0% |
| 68 | 1 | 1.0% |
| 69 | 2 | 2.0% |
| 70 | 18 | |
| 74 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 802 | 1 | 1.0% |
| 100 | 1 | 1.0% |
| 99 | 1 | 1.0% |
| 95 | 1 | 1.0% |
| 93 | 2 | 2.0% |
| 92 | 1 | 1.0% |
| 90 | 10 | |
| 88 | 1 | 1.0% |
| 84 | 3 | 3.0% |
| 83 | 1 | 1.0% |
| RID | BDHT | BDWT | SYSTOLIC | DIASTOLIC | |
|---|---|---|---|---|---|
| RID | 1.000 | 0.291 | 0.041 | 0.174 | 0.041 |
| BDHT\t | 0.291 | 1.000 | 0.000 | 0.401 | 0.000 |
| BDWT\t | 0.041 | 0.000 | 1.000 | 0.000 | 0.693 |
| SYSTOLIC | 0.174 | 0.401 | 0.000 | 1.000 | 0.000 |
| DIASTOLIC | 0.041 | 0.000 | 0.693 | 0.000 | 1.000 |
| RID | BDHT | BDWT | SYSTOLIC | DIASTOLIC | |
|---|---|---|---|---|---|
| RID | 1.000 | 0.039 | 0.078 | 0.026 | -0.077 |
| BDHT\t | 0.039 | 1.000 | 0.493 | 0.154 | 0.263 |
| BDWT\t | 0.078 | 0.493 | 1.000 | 0.016 | 0.071 |
| SYSTOLIC | 0.026 | 0.154 | 0.016 | 1.000 | 0.570 |
| DIASTOLIC | -0.077 | 0.263 | 0.071 | 0.570 | 1.000 |
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.
| RID | BDHT | BDWT | SYSTOLIC | DIASTOLIC | |
|---|---|---|---|---|---|
| 0 | 1 | 154.2 | 71.55 | 140 | 82 |
| 1 | 2 | 162.0 | 58.8 | 120 | 80 |
| 2 | 3 | 153.7 | 49.6 | 110 | 70 |
| 3 | 4 | 160.8 | 55.4 | 170 | 90 |
| 4 | 5 | 186.7 | 94.2 | 145 | 95 |
| 5 | 6 | 154.9 | 82.0 | 110 | 60 |
| 6 | 7 | 148.1 | 59.65 | 170 | 56 |
| 7 | 8 | 167.2 | 61.0 | 110 | 70 |
| 8 | 9 | 147.8 | 55.8 | 140 | 50 |
| 9 | 10 | 172.2 | 62.8 | 120 | 80 |
| RID | BDHT | BDWT | SYSTOLIC | DIASTOLIC | |
|---|---|---|---|---|---|
| 90 | 91 | 141.5 | 61.5 | 120 | 70 |
| 91 | 92 | 160.2 | 62.0 | 120 | 70 |
| 92 | 93 | 155.0 | 74.0 | 120 | 70 |
| 93 | 94 | 166.3 | 64.8 | 130 | 90 |
| 94 | 95 | 174.0 | 66.0 | 212 | 90 |
| 95 | 96 | 151.7 | 62.0 | 130 | 68 |
| 96 | 97 | 149.7 | 45.8 | 140 | 80 |
| 97 | 98 | 173.0 | 92.0 | 158 | 75 |
| 98 | 99 | 164.7 | 83.2 | 110 | 70 |
| 99 | 100 | 171.8 | 78.4 | 140 | 80 |