Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 100 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.8 KiB |
| Average record size in memory | 28.3 B |
Variable types
| Numeric | 2 |
|---|---|
| Categorical | 1 |
Dataset
| Description | 병원정보시스템에 저장되어 있는 전체 데이터에서 ICD-10 코드 중 E10, E11~14, 024의 진단코드를 가진 환자를 추출한 코호트의 인구통계학적 정보 데이터임. 환자들의 최초진단 당시의 연령, 성별 데이터를 이용하여 연령대별 특성과 성별 특성을 분석할 수 있음. -SEX : 0은 남자, 1은 여자로 구분 하였음 |
|---|---|
| Author | 가톨릭대학교 은평성모병원 |
| URL | http://cmcdata.net/data/dataset/diabetes_demo-eunpyeong |
RID has unique values | Unique |
Reproduction
| Analysis started | 2023-10-08 18:57:09.466871 |
|---|---|
| Analysis finished | 2023-10-08 18:57:12.634287 |
| Duration | 3.17 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 |
Age_grp
Real number (ℝ)
| Distinct | 41 |
|---|---|
| Distinct (%) | 41.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 63.19 |
| Minimum | 31 |
|---|---|
| Maximum | 88 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 31 |
|---|---|
| 5-th percentile | 40 |
| Q1 | 55 |
| median | 63.5 |
| Q3 | 73 |
| 95-th percentile | 85 |
| Maximum | 88 |
| Range | 57 |
| Interquartile range (IQR) | 18 |
Descriptive statistics
| Standard deviation | 13.083025 |
|---|---|
| Coefficient of variation (CV) | 0.20704266 |
| Kurtosis | -0.37539115 |
| Mean | 63.19 |
| Median Absolute Deviation (MAD) | 8.5 |
| Skewness | -0.32296594 |
| Sum | 6319 |
| Variance | 171.16556 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 55 | 7 | 7.0% |
| 60 | 5 | 5.0% |
| 73 | 5 | 5.0% |
| 68 | 4 | 4.0% |
| 78 | 4 | 4.0% |
| 58 | 4 | 4.0% |
| 59 | 4 | 4.0% |
| 69 | 4 | 4.0% |
| 85 | 4 | 4.0% |
| 64 | 3 | 3.0% |
| Other values (31) | 56 |
| Value | Count | Frequency (%) |
| 31 | 2 | |
| 37 | 1 | 1.0% |
| 40 | 3 | |
| 41 | 2 | |
| 42 | 1 | 1.0% |
| 43 | 1 | 1.0% |
| 44 | 2 | |
| 46 | 2 | |
| 47 | 1 | 1.0% |
| 52 | 2 |
| Value | Count | Frequency (%) |
| 88 | 1 | 1.0% |
| 87 | 1 | 1.0% |
| 85 | 4 | |
| 82 | 1 | 1.0% |
| 81 | 1 | 1.0% |
| 79 | 2 | |
| 78 | 4 | |
| 77 | 3 | |
| 76 | 2 | |
| 75 | 3 |
SEX
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 52 | |
| 0 | 48 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 52 | |
| 0 | 48 |
| RID | Age_grp | SEX | |
|---|---|---|---|
| RID | 1.000 | 0.000 | 0.000 |
| Age_grp | 0.000 | 1.000 | 0.369 |
| SEX | 0.000 | 0.369 | 1.000 |
| RID | Age_grp | SEX | |
|---|---|---|---|
| RID | 1.000 | 0.022 | 0.000 |
| Age_grp | 0.022 | 1.000 | 0.270 |
| SEX | 0.000 | 0.270 | 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 | Age_grp | SEX | |
|---|---|---|---|
| 0 | 1 | 68 | 0 |
| 1 | 2 | 46 | 1 |
| 2 | 3 | 78 | 0 |
| 3 | 4 | 74 | 0 |
| 4 | 5 | 55 | 1 |
| 5 | 6 | 59 | 0 |
| 6 | 7 | 37 | 0 |
| 7 | 8 | 63 | 1 |
| 8 | 9 | 42 | 0 |
| 9 | 10 | 87 | 1 |
| RID | Age_grp | SEX | |
|---|---|---|---|
| 90 | 91 | 40 | 1 |
| 91 | 92 | 76 | 1 |
| 92 | 93 | 55 | 0 |
| 93 | 94 | 69 | 1 |
| 94 | 95 | 56 | 0 |
| 95 | 96 | 71 | 1 |
| 96 | 97 | 69 | 1 |
| 97 | 98 | 77 | 1 |
| 98 | 99 | 76 | 1 |
| 99 | 100 | 60 | 1 |