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 | 2.7 KiB |
| Average record size in memory | 27.3 B |
Variable types
| Numeric | 1 |
|---|---|
| Categorical | 2 |
Dataset
| Description | 병원정보시스템에 저장되어 있는 전체 데이터에서 ICD-10 코드 중 F101, F102, F103, F104, F109의 진단코드를 가진 환자와 K700, K701, K703, K7030, K7031, K7041, K709의 진단코드를 가진 환자들을 추출한 코호트의 인구통계학적 정보 데이터임. 환자들의 최초 처방 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/demographic-data-alcohol-use-disorder-eunpyeong |
RID has unique values | Unique |
Reproduction
| Analysis started | 2023-10-08 18:56:06.708157 |
|---|---|
| Analysis finished | 2023-10-08 18:56:08.486846 |
| Duration | 1.78 second |
| 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
Categorical
| Distinct | 7 |
|---|---|
| Distinct (%) | 7.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
| 50대 | |
|---|---|
| 60대 | |
| 40대 | |
| 30대 | |
| 70대 | |
| Other values (2) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 50대 |
|---|---|
| 2nd row | 50대 |
| 3rd row | 30대 |
| 4th row | 40대 |
| 5th row | 20대 |
Common Values
| Value | Count | Frequency (%) |
| 50대 | 37 | |
| 60대 | 22 | |
| 40대 | 15 | |
| 30대 | 11 | 11.0% |
| 70대 | 11 | 11.0% |
| 20대 | 2 | 2.0% |
| 80대 | 2 | 2.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 50대 | 37 | |
| 60대 | 22 | |
| 40대 | 15 | |
| 30대 | 11 | 11.0% |
| 70대 | 11 | 11.0% |
| 20대 | 2 | 2.0% |
| 80대 | 2 | 2.0% |
SEX
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
| 0 | |
|---|---|
| 1 |
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 | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 18 | 18.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 18 | 18.0% |
| RID | AGE | SEX | |
|---|---|---|---|
| RID | 1.000 | 0.194 | 0.000 |
| AGE | 0.194 | 1.000 | 0.106 |
| SEX | 0.000 | 0.106 | 1.000 |
| SEX | AGE | |
|---|---|---|
| SEX | 1.000 | 0.108 |
| AGE | 0.108 | 1.000 |
| RID | AGE | SEX | |
|---|---|---|---|
| RID | 1.000 | 0.092 | 0.000 |
| AGE | 0.092 | 1.000 | 0.108 |
| SEX | 0.000 | 0.108 | 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 | SEX | |
|---|---|---|---|
| 0 | 1 | 50대 | 0 |
| 1 | 2 | 50대 | 0 |
| 2 | 3 | 30대 | 0 |
| 3 | 4 | 40대 | 0 |
| 4 | 5 | 20대 | 0 |
| 5 | 6 | 30대 | 1 |
| 6 | 7 | 50대 | 0 |
| 7 | 8 | 60대 | 0 |
| 8 | 9 | 40대 | 0 |
| 9 | 10 | 50대 | 0 |
| RID | AGE | SEX | |
|---|---|---|---|
| 90 | 91 | 30대 | 0 |
| 91 | 92 | 50대 | 0 |
| 92 | 93 | 60대 | 0 |
| 93 | 94 | 40대 | 0 |
| 94 | 95 | 50대 | 0 |
| 95 | 96 | 30대 | 0 |
| 96 | 97 | 50대 | 0 |
| 97 | 98 | 40대 | 1 |
| 98 | 99 | 30대 | 0 |
| 99 | 100 | 60대 | 0 |