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 | 2.6 KiB |
| Average record size in memory | 26.3 B |
Variable types
| Text | 1 |
|---|---|
| Categorical | 2 |
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 서울성모병원 |
| URL | http://cmcdata.net/data/dataset/diabetes_demo |
RID has unique values | Unique |
Reproduction
| Analysis started | 2023-10-08 18:57:48.723170 |
|---|---|
| Analysis finished | 2023-10-08 18:57:51.114656 |
| Duration | 2.39 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
RID
Text
UNIQUE
| Distinct | 100 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 8 |
| Min length | 8 |
Characters and Unicode
| Total characters | 800 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 100 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | R0000001 |
|---|---|
| 2nd row | R0000002 |
| 3rd row | R0000003 |
| 4th row | R0000004 |
| 5th row | R0000005 |
| Value | Count | Frequency (%) |
| r0000001 | 1 | 1.0% |
| r0000063 | 1 | 1.0% |
| r0000074 | 1 | 1.0% |
| r0000073 | 1 | 1.0% |
| r0000072 | 1 | 1.0% |
| r0000071 | 1 | 1.0% |
| r0000070 | 1 | 1.0% |
| r0000069 | 1 | 1.0% |
| r0000068 | 1 | 1.0% |
| r0000067 | 1 | 1.0% |
| Other values (90) | 90 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 519 | |
| R | 100 | 12.5% |
| 1 | 21 | 2.6% |
| 3 | 20 | 2.5% |
| 4 | 20 | 2.5% |
| 5 | 20 | 2.5% |
| 6 | 20 | 2.5% |
| 7 | 20 | 2.5% |
| 8 | 20 | 2.5% |
| 9 | 20 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 700 | |
| Uppercase Letter | 100 | 12.5% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 519 | |
| 1 | 21 | 3.0% |
| 3 | 20 | 2.9% |
| 4 | 20 | 2.9% |
| 5 | 20 | 2.9% |
| 6 | 20 | 2.9% |
| 7 | 20 | 2.9% |
| 8 | 20 | 2.9% |
| 9 | 20 | 2.9% |
| 2 | 20 | 2.9% |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 100 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 700 | |
| Latin | 100 | 12.5% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 519 | |
| 1 | 21 | 3.0% |
| 3 | 20 | 2.9% |
| 4 | 20 | 2.9% |
| 5 | 20 | 2.9% |
| 6 | 20 | 2.9% |
| 7 | 20 | 2.9% |
| 8 | 20 | 2.9% |
| 9 | 20 | 2.9% |
| 2 | 20 | 2.9% |
Latin
| Value | Count | Frequency (%) |
| R | 100 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 800 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 519 | |
| R | 100 | 12.5% |
| 1 | 21 | 2.6% |
| 3 | 20 | 2.5% |
| 4 | 20 | 2.5% |
| 5 | 20 | 2.5% |
| 6 | 20 | 2.5% |
| 7 | 20 | 2.5% |
| 8 | 20 | 2.5% |
| 9 | 20 | 2.5% |
Age_grp
Categorical
| Distinct | 7 |
|---|---|
| Distinct (%) | 7.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.0 B |
| 60대 | |
|---|---|
| 50대 | |
| 70대 | |
| 80대 | |
| 30대 | |
| 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 | 70대 |
|---|---|
| 2nd row | 60대 |
| 3rd row | 50대 |
| 4th row | 50대 |
| 5th row | 50대 |
Common Values
| Value | Count | Frequency (%) |
| 60대 | 32 | |
| 50대 | 28 | |
| 70대 | 17 | |
| 80대 | 10 | 10.0% |
| 30대 | 6 | 6.0% |
| 40대 | 5 | 5.0% |
| 20대 | 2 | 2.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 60대 | 32 | |
| 50대 | 28 | |
| 70대 | 17 | |
| 80대 | 10 | 10.0% |
| 30대 | 6 | 6.0% |
| 40대 | 5 | 5.0% |
| 20대 | 2 | 2.0% |
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 | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
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 | 1.000 | 1.000 |
| Age_grp | 1.000 | 1.000 | 0.000 |
| SEX | 1.000 | 0.000 | 1.000 |
| SEX | Age_grp | |
|---|---|---|
| SEX | 1.000 | 0.000 |
| Age_grp | 0.000 | 1.000 |
| Age_grp | SEX | |
|---|---|---|
| Age_grp | 1.000 | 0.000 |
| SEX | 0.000 | 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 | R0000001 | 70대 | 0 |
| 1 | R0000002 | 60대 | 0 |
| 2 | R0000003 | 50대 | 0 |
| 3 | R0000004 | 50대 | 1 |
| 4 | R0000005 | 50대 | 0 |
| 5 | R0000006 | 40대 | 1 |
| 6 | R0000007 | 60대 | 1 |
| 7 | R0000008 | 30대 | 1 |
| 8 | R0000009 | 50대 | 0 |
| 9 | R0000010 | 60대 | 0 |
| RID | Age_grp | SEX | |
|---|---|---|---|
| 90 | R0000091 | 40대 | 0 |
| 91 | R0000092 | 70대 | 0 |
| 92 | R0000093 | 60대 | 1 |
| 93 | R0000094 | 70대 | 1 |
| 94 | R0000095 | 70대 | 0 |
| 95 | R0000096 | 60대 | 1 |
| 96 | R0000097 | 70대 | 0 |
| 97 | R0000098 | 70대 | 1 |
| 98 | R0000099 | 60대 | 1 |
| 99 | R0000100 | 50대 | 1 |