Overview

Dataset statistics

Number of variables3
Number of observations5512
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory129.3 KiB
Average record size in memory24.0 B

Variable types

DateTime1
Categorical1
Text1

Dataset

Description국립소록도병원에 입원 중인 한센인에게 제공되는 영양급식(식단) 정보로 식단일자와 식단구분, 메뉴명을 제공합니다.
Author보건복지부 국립소록도병원
URLhttps://www.data.go.kr/data/15017299/fileData.do

Reproduction

Analysis started2024-03-14 13:31:11.520349
Analysis finished2024-03-14 13:31:12.223059
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct365
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-12-31 00:00:00
2024-03-14T22:31:12.420420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:31:12.844109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

메뉴구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
중식
1853 
석식
1834 
조식
1825 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조식
2nd row조식
3rd row조식
4th row조식
5th row조식

Common Values

ValueCountFrequency (%)
중식 1853
33.6%
석식 1834
33.3%
조식 1825
33.1%

Length

2024-03-14T22:31:13.252898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:31:13.435012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중식 1853
33.6%
석식 1834
33.3%
조식 1825
33.1%

메뉴명
Text

Distinct400
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
2024-03-14T22:31:14.235048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.9172714
Min length1

Characters and Unicode

Total characters32616
Distinct characters318
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)0.7%

Sample

1st row굴무두부국
2nd row새송이섭산적
3rd row얼갈이나물
4th row배추김치
5th row무새우살나물
ValueCountFrequency (%)
배추김치 789
 
14.3%
석박지 121
 
2.2%
열무김치 58
 
1.1%
갓김치 46
 
0.8%
시금치나물 43
 
0.8%
참나물무침 38
 
0.7%
쌈배추겉절이 36
 
0.7%
물만두국 36
 
0.7%
무생채액젓무침 35
 
0.6%
콩나물무침 34
 
0.6%
Other values (392) 4279
77.6%
2024-03-14T22:31:15.402368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 1431
 
4.4%
추 1244
 
3.8%
무 1237
 
3.8%
김 1134
 
3.5%
배 851
 
2.6%
침 820
 
2.5%
음 766
 
2.3%
볶 734
 
2.3%
이 692
 
2.1%
국 659
 
2.0%
Other values (308) 23048
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32412
99.4%
Other Punctuation 160
 
0.5%
Lowercase Letter 11
 
< 0.1%
Decimal Number 10
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1431
 
4.4%
추 1244
 
3.8%
무 1237
 
3.8%
김 1134
 
3.5%
배 851
 
2.6%
침 820
 
2.5%
음 766
 
2.4%
볶 734
 
2.3%
이 692
 
2.1%
국 659
 
2.0%
Other values (296) 22844
70.5%
Lowercase Letter
ValueCountFrequency (%)
g 7
63.6%
i 2
 
18.2%
b 2
 
18.2%
Other Punctuation
ValueCountFrequency (%)
& 155
96.9%
/ 5
 
3.1%
Decimal Number
ValueCountFrequency (%)
3 5
50.0%
2 5
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
L 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32412
99.4%
Common 187
 
0.6%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1431
 
4.4%
추 1244
 
3.8%
무 1237
 
3.8%
김 1134
 
3.5%
배 851
 
2.6%
침 820
 
2.5%
음 766
 
2.4%
볶 734
 
2.3%
이 692
 
2.1%
국 659
 
2.0%
Other values (296) 22844
70.5%
Common
ValueCountFrequency (%)
& 155
82.9%
) 7
 
3.7%
( 7
 
3.7%
3 5
 
2.7%
/ 5
 
2.7%
2 5
 
2.7%
3
 
1.6%
Latin
ValueCountFrequency (%)
g 7
41.2%
A 3
17.6%
L 3
17.6%
i 2
 
11.8%
b 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32412
99.4%
ASCII 204
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 1431
 
4.4%
추 1244
 
3.8%
무 1237
 
3.8%
김 1134
 
3.5%
배 851
 
2.6%
침 820
 
2.5%
음 766
 
2.4%
볶 734
 
2.3%
이 692
 
2.1%
국 659
 
2.0%
Other values (296) 22844
70.5%
ASCII
ValueCountFrequency (%)
& 155
76.0%
) 7
 
3.4%
g 7
 
3.4%
( 7
 
3.4%
3 5
 
2.5%
/ 5
 
2.5%
2 5
 
2.5%
3
 
1.5%
A 3
 
1.5%
L 3
 
1.5%
Other values (2) 4
 
2.0%

Missing values

2024-03-14T22:31:11.861916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:31:12.118353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

일자메뉴구분메뉴명
02023-01-01조식굴무두부국
12023-01-01조식새송이섭산적
22023-01-01조식얼갈이나물
32023-01-01조식배추김치
42023-01-01조식무새우살나물
52023-01-01중식쇠고기떡국
62023-01-01중식쇠고기알토란탕
72023-01-01중식오색산적전
82023-01-01중식숙주나물
92023-01-01중식배추김치
일자메뉴구분메뉴명
55022023-12-31중식조갯살미역국
55032023-12-31중식쇠고기낙지야채볶음
55042023-12-31중식쑥갓두부무침
55052023-12-31중식배추김치
55062023-12-31중식오복채무침
55072023-12-31석식홍고추콩나물국
55082023-12-31석식순살크런치생선까스&소스
55092023-12-31석식꽃맛살마카로니샐러드
55102023-12-31석식열무김치
55112023-12-31석식쌈배추나물