Overview

Dataset statistics

Number of variables8
Number of observations188
Missing cells93
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory64.7 B

Variable types

DateTime1
Text6
Categorical1

Dataset

Description제9030부대의 식단정보입니다. 월간 표준식단 자료로서 날짜별 조식, 중식, 석식 식단과 식단별 열량 자료를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069430/fileData.do

Alerts

조식 has 14 (7.4%) missing valuesMissing
조식열량 has 14 (7.4%) missing valuesMissing
중식 has 17 (9.0%) missing valuesMissing
중식열량 has 18 (9.6%) missing valuesMissing
석식 has 15 (8.0%) missing valuesMissing
석식열량 has 15 (8.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:58:47.882730
Analysis finished2023-12-12 12:58:49.481549
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct31
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2021-08-01 00:00:00
Maximum2021-08-31 00:00:00
2023-12-12T21:58:49.554253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:49.679686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

조식
Text

MISSING 

Distinct67
Distinct (%)38.5%
Missing14
Missing (%)7.4%
Memory size1.6 KiB
2023-12-12T21:58:50.031708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length13.534483
Min length1

Characters and Unicode

Total characters2355
Distinct characters140
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)25.9%

Sample

1st row쇠고기야채덮밥(05)(06)(16)
2nd row생선묵찌개(05)(06)
3rd row부추겉절이(05)(06)
4th row배추김치(7~9월)
5th row우유(백색우유(200ML,연간))(02)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 31
17.8%
밥 23
 
13.2%
배추김치(7~9월 20
 
11.5%
열무김치 6
 
3.4%
오이양파무침(05)(06 6
 
3.4%
계란찜(01)(09 5
 
2.9%
해물순두부찌개(01)(05)(10)(17)(18 4
 
2.3%
시리얼 3
 
1.7%
야채샐러드(햄버거용)(01)(12 3
 
1.7%
들깨미역국(05)(16 3
 
1.7%
Other values (57) 70
40.2%
2023-12-12T21:58:50.540195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 333
 
14.1%
( 333
 
14.1%
0 270
 
11.5%
1 85
 
3.6%
5 72
 
3.1%
6 71
 
3.0%
2 69
 
2.9%
우 64
 
2.7%
유 62
 
2.6%
연 33
 
1.4%
Other values (130) 963
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 949
40.3%
Decimal Number 627
26.6%
Close Punctuation 333
 
14.1%
Open Punctuation 333
 
14.1%
Uppercase Letter 62
 
2.6%
Other Punctuation 31
 
1.3%
Math Symbol 20
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 64
 
6.7%
유 62
 
6.5%
연 33
 
3.5%
간 33
 
3.5%
치 32
 
3.4%
색 31
 
3.3%
김 31
 
3.3%
백 31
 
3.3%
밥 27
 
2.8%
추 27
 
2.8%
Other values (116) 578
60.9%
Decimal Number
ValueCountFrequency (%)
0 270
43.1%
1 85
 
13.6%
5 72
 
11.5%
6 71
 
11.3%
2 69
 
11.0%
9 28
 
4.5%
7 27
 
4.3%
8 5
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
L 31
50.0%
M 31
50.0%
Close Punctuation
ValueCountFrequency (%)
) 333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 333
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1344
57.1%
Hangul 949
40.3%
Latin 62
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 64
 
6.7%
유 62
 
6.5%
연 33
 
3.5%
간 33
 
3.5%
치 32
 
3.4%
색 31
 
3.3%
김 31
 
3.3%
백 31
 
3.3%
밥 27
 
2.8%
추 27
 
2.8%
Other values (116) 578
60.9%
Common
ValueCountFrequency (%)
) 333
24.8%
( 333
24.8%
0 270
20.1%
1 85
 
6.3%
5 72
 
5.4%
6 71
 
5.3%
2 69
 
5.1%
, 31
 
2.3%
9 28
 
2.1%
7 27
 
2.0%
Other values (2) 25
 
1.9%
Latin
ValueCountFrequency (%)
L 31
50.0%
M 31
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1406
59.7%
Hangul 949
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 333
23.7%
( 333
23.7%
0 270
19.2%
1 85
 
6.0%
5 72
 
5.1%
6 71
 
5.0%
2 69
 
4.9%
L 31
 
2.2%
, 31
 
2.2%
M 31
 
2.2%
Other values (4) 80
 
5.7%
Hangul
ValueCountFrequency (%)
우 64
 
6.7%
유 62
 
6.5%
연 33
 
3.5%
간 33
 
3.5%
치 32
 
3.4%
색 31
 
3.3%
김 31
 
3.3%
백 31
 
3.3%
밥 27
 
2.8%
추 27
 
2.8%
Other values (116) 578
60.9%

조식열량
Text

MISSING 

Distinct67
Distinct (%)38.5%
Missing14
Missing (%)7.4%
Memory size1.6 KiB
2023-12-12T21:58:50.851627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.0517241
Min length5

Characters and Unicode

Total characters1401
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)25.9%

Sample

1st row538.36kcal
2nd row88.09kcal
3rd row34.86kcal
4th row8kcal
5th row122kcal
ValueCountFrequency (%)
122kcal 31
17.8%
363kcal 23
 
13.2%
8kcal 20
 
11.5%
12.8kcal 6
 
3.4%
40.31kcal 6
 
3.4%
87.76kcal 5
 
2.9%
111.83kcal 4
 
2.3%
152.8kcal 3
 
1.7%
80.5kcal 3
 
1.7%
28.62kcal 3
 
1.7%
Other values (57) 70
40.2%
2023-12-12T21:58:51.313629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 174
12.4%
c 174
12.4%
a 174
12.4%
l 174
12.4%
2 113
8.1%
1 101
7.2%
. 99
7.1%
3 96
6.9%
8 73
5.2%
6 56
 
4.0%
Other values (5) 167
11.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 696
49.7%
Decimal Number 606
43.3%
Other Punctuation 99
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 113
18.6%
1 101
16.7%
3 96
15.8%
8 73
12.0%
6 56
9.2%
7 39
 
6.4%
4 34
 
5.6%
5 34
 
5.6%
0 31
 
5.1%
9 29
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
k 174
25.0%
c 174
25.0%
a 174
25.0%
l 174
25.0%
Other Punctuation
ValueCountFrequency (%)
. 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 705
50.3%
Latin 696
49.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 113
16.0%
1 101
14.3%
. 99
14.0%
3 96
13.6%
8 73
10.4%
6 56
7.9%
7 39
 
5.5%
4 34
 
4.8%
5 34
 
4.8%
0 31
 
4.4%
Latin
ValueCountFrequency (%)
k 174
25.0%
c 174
25.0%
a 174
25.0%
l 174
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 174
12.4%
c 174
12.4%
a 174
12.4%
l 174
12.4%
2 113
8.1%
1 101
7.2%
. 99
7.1%
3 96
6.9%
8 73
5.2%
6 56
 
4.0%
Other values (5) 167
11.9%

중식
Text

MISSING 

Distinct100
Distinct (%)58.5%
Missing17
Missing (%)9.0%
Memory size1.6 KiB
2023-12-12T21:58:51.590484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length10.520468
Min length1

Characters and Unicode

Total characters1799
Distinct characters202
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)43.9%

Sample

1st row밥
2nd row버섯매운탕(05)(06)(16)
3rd row돈육야채볶음(05)(06)(10)
4th row계란찜(01)(09)
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 13
 
7.3%
밥 12
 
6.7%
깍두기(완제품)(09 8
 
4.5%
열무김치 6
 
3.4%
조미김 6
 
3.4%
모듬쌈(05)(06 5
 
2.8%
잡곡밥 4
 
2.2%
짬뽕찌개(05)(09)(10)(17 3
 
1.7%
아이스크림 3
 
1.7%
오징어젓무침(17 3
 
1.7%
Other values (94) 115
64.6%
2023-12-12T21:58:52.029449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 240
 
13.3%
( 240
 
13.3%
0 171
 
9.5%
1 82
 
4.6%
5 69
 
3.8%
6 60
 
3.3%
김 36
 
2.0%
치 33
 
1.8%
밥 27
 
1.5%
9 27
 
1.5%
Other values (192) 814
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 838
46.6%
Decimal Number 452
25.1%
Close Punctuation 240
 
13.3%
Open Punctuation 240
 
13.3%
Math Symbol 16
 
0.9%
Space Separator 7
 
0.4%
Other Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 36
 
4.3%
치 33
 
3.9%
밥 27
 
3.2%
추 22
 
2.6%
기 21
 
2.5%
무 21
 
2.5%
두 17
 
2.0%
고 17
 
2.0%
월 16
 
1.9%
조 15
 
1.8%
Other values (176) 613
73.2%
Decimal Number
ValueCountFrequency (%)
0 171
37.8%
1 82
18.1%
5 69
15.3%
6 60
 
13.3%
9 27
 
6.0%
7 19
 
4.2%
2 15
 
3.3%
8 6
 
1.3%
3 3
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 13
81.2%
∼ 3
 
18.8%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
& 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 961
53.4%
Hangul 838
46.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 36
 
4.3%
치 33
 
3.9%
밥 27
 
3.2%
추 22
 
2.6%
기 21
 
2.5%
무 21
 
2.5%
두 17
 
2.0%
고 17
 
2.0%
월 16
 
1.9%
조 15
 
1.8%
Other values (176) 613
73.2%
Common
ValueCountFrequency (%)
) 240
25.0%
( 240
25.0%
0 171
17.8%
1 82
 
8.5%
5 69
 
7.2%
6 60
 
6.2%
9 27
 
2.8%
7 19
 
2.0%
2 15
 
1.6%
~ 13
 
1.4%
Other values (6) 25
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 958
53.3%
Hangul 838
46.6%
Math Operators 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 240
25.1%
( 240
25.1%
0 171
17.8%
1 82
 
8.6%
5 69
 
7.2%
6 60
 
6.3%
9 27
 
2.8%
7 19
 
2.0%
2 15
 
1.6%
~ 13
 
1.4%
Other values (5) 22
 
2.3%
Hangul
ValueCountFrequency (%)
김 36
 
4.3%
치 33
 
3.9%
밥 27
 
3.2%
추 22
 
2.6%
기 21
 
2.5%
무 21
 
2.5%
두 17
 
2.0%
고 17
 
2.0%
월 16
 
1.9%
조 15
 
1.8%
Other values (176) 613
73.2%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%

중식열량
Text

MISSING 

Distinct97
Distinct (%)57.1%
Missing18
Missing (%)9.6%
Memory size1.6 KiB
2023-12-12T21:58:52.376287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.4294118
Min length5

Characters and Unicode

Total characters1433
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)42.4%

Sample

1st row363kcal
2nd row63.39kcal
3rd row343.81kcal
4th row87.76kcal
5th row8kcal
ValueCountFrequency (%)
8kcal 13
 
7.6%
363kcal 12
 
7.1%
15.2kcal 8
 
4.7%
0kcal 6
 
3.5%
12.8kcal 6
 
3.5%
40.7kcal 5
 
2.9%
57.132kcal 5
 
2.9%
391.54kcal 4
 
2.4%
24.79kcal 3
 
1.8%
38.4kcal 3
 
1.8%
Other values (87) 105
61.8%
2023-12-12T21:58:52.830117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 170
11.9%
c 170
11.9%
a 170
11.9%
l 170
11.9%
. 129
9.0%
3 97
 
6.8%
8 76
 
5.3%
1 74
 
5.2%
5 70
 
4.9%
4 63
 
4.4%
Other values (5) 244
17.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 680
47.5%
Decimal Number 624
43.5%
Other Punctuation 129
 
9.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 97
15.5%
8 76
12.2%
1 74
11.9%
5 70
11.2%
4 63
10.1%
2 59
9.5%
6 54
8.7%
7 54
8.7%
0 40
6.4%
9 37
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
k 170
25.0%
c 170
25.0%
a 170
25.0%
l 170
25.0%
Other Punctuation
ValueCountFrequency (%)
. 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 753
52.5%
Latin 680
47.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 129
17.1%
3 97
12.9%
8 76
10.1%
1 74
9.8%
5 70
9.3%
4 63
8.4%
2 59
7.8%
6 54
7.2%
7 54
7.2%
0 40
 
5.3%
Latin
ValueCountFrequency (%)
k 170
25.0%
c 170
25.0%
a 170
25.0%
l 170
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 170
11.9%
c 170
11.9%
a 170
11.9%
l 170
11.9%
. 129
9.0%
3 97
 
6.8%
8 76
 
5.3%
1 74
 
5.2%
5 70
 
4.9%
4 63
 
4.4%
Other values (5) 244
17.0%

석식
Text

MISSING 

Distinct102
Distinct (%)59.0%
Missing15
Missing (%)8.0%
Memory size1.6 KiB
2023-12-12T21:58:53.064680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length11.294798
Min length1

Characters and Unicode

Total characters1954
Distinct characters200
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)42.2%

Sample

1st row밥
2nd row닭곰탕(15)
3rd row마파두부(05)(06)(10)
4th row조미김
5th row감자매운조림(05)(06)
ValueCountFrequency (%)
배추김치(7~9월 16
 
8.6%
밥 10
 
5.4%
깍두기(완제품)(09 7
 
3.8%
잡곡밥 6
 
3.2%
조미김 4
 
2.2%
주스,청포도(190ml/팩 4
 
2.2%
사과 4
 
2.2%
주스(200㎖/팩 4
 
2.2%
현미밥 4
 
2.2%
계란후라이(01 4
 
2.2%
Other values (100) 123
66.1%
2023-12-12T21:58:53.457933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 256
 
13.1%
) 256
 
13.1%
0 193
 
9.9%
1 80
 
4.1%
6 68
 
3.5%
5 64
 
3.3%
김 38
 
1.9%
치 36
 
1.8%
9 34
 
1.7%
추 31
 
1.6%
Other values (190) 898
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 880
45.0%
Decimal Number 490
25.1%
Open Punctuation 256
 
13.1%
Close Punctuation 256
 
13.1%
Other Punctuation 20
 
1.0%
Math Symbol 16
 
0.8%
Space Separator 13
 
0.7%
Other Symbol 9
 
0.5%
Lowercase Letter 8
 
0.4%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 38
 
4.3%
치 36
 
4.1%
추 31
 
3.5%
고 29
 
3.3%
밥 27
 
3.1%
기 24
 
2.7%
배 20
 
2.3%
월 16
 
1.8%
스 16
 
1.8%
개 15
 
1.7%
Other values (169) 628
71.4%
Decimal Number
ValueCountFrequency (%)
0 193
39.4%
1 80
16.3%
6 68
 
13.9%
5 64
 
13.1%
9 34
 
6.9%
2 22
 
4.5%
7 21
 
4.3%
8 4
 
0.8%
3 3
 
0.6%
4 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 13
65.0%
, 7
35.0%
Lowercase Letter
ValueCountFrequency (%)
l 4
50.0%
m 4
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
50.0%
L 3
50.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1060
54.2%
Hangul 880
45.0%
Latin 14
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 38
 
4.3%
치 36
 
4.1%
추 31
 
3.5%
고 29
 
3.3%
밥 27
 
3.1%
기 24
 
2.7%
배 20
 
2.3%
월 16
 
1.8%
스 16
 
1.8%
개 15
 
1.7%
Other values (169) 628
71.4%
Common
ValueCountFrequency (%)
( 256
24.2%
) 256
24.2%
0 193
18.2%
1 80
 
7.5%
6 68
 
6.4%
5 64
 
6.0%
9 34
 
3.2%
2 22
 
2.1%
7 21
 
2.0%
~ 16
 
1.5%
Other values (7) 50
 
4.7%
Latin
ValueCountFrequency (%)
l 4
28.6%
m 4
28.6%
M 3
21.4%
L 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1065
54.5%
Hangul 880
45.0%
CJK Compat 9
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 256
24.0%
) 256
24.0%
0 193
18.1%
1 80
 
7.5%
6 68
 
6.4%
5 64
 
6.0%
9 34
 
3.2%
2 22
 
2.1%
7 21
 
2.0%
~ 16
 
1.5%
Other values (10) 55
 
5.2%
Hangul
ValueCountFrequency (%)
김 38
 
4.3%
치 36
 
4.1%
추 31
 
3.5%
고 29
 
3.3%
밥 27
 
3.1%
기 24
 
2.7%
배 20
 
2.3%
월 16
 
1.8%
스 16
 
1.8%
개 15
 
1.7%
Other values (169) 628
71.4%
CJK Compat
ValueCountFrequency (%)
㎖ 9
100.0%

석식열량
Text

MISSING 

Distinct100
Distinct (%)57.8%
Missing15
Missing (%)8.0%
Memory size1.6 KiB
2023-12-12T21:58:53.781103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.3236994
Min length5

Characters and Unicode

Total characters1440
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)40.5%

Sample

1st row363kcal
2nd row134.77kcal
3rd row178.19kcal
4th row0kcal
5th row71.45kcal
ValueCountFrequency (%)
8kcal 16
 
9.2%
363kcal 10
 
5.8%
15.2kcal 7
 
4.0%
391.54kcal 6
 
3.5%
84.51kcal 5
 
2.9%
0kcal 4
 
2.3%
46kcal 4
 
2.3%
381.15kcal 4
 
2.3%
97.91kcal 4
 
2.3%
44.06kcal 3
 
1.7%
Other values (90) 110
63.6%
2023-12-12T21:58:54.215685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 173
12.0%
c 173
12.0%
a 173
12.0%
l 173
12.0%
. 120
8.3%
1 86
 
6.0%
3 81
 
5.6%
8 69
 
4.8%
5 67
 
4.7%
4 67
 
4.7%
Other values (5) 258
17.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 692
48.1%
Decimal Number 628
43.6%
Other Punctuation 120
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
13.7%
3 81
12.9%
8 69
11.0%
5 67
10.7%
4 67
10.7%
2 66
10.5%
6 63
10.0%
9 48
7.6%
7 42
6.7%
0 39
6.2%
Lowercase Letter
ValueCountFrequency (%)
k 173
25.0%
c 173
25.0%
a 173
25.0%
l 173
25.0%
Other Punctuation
ValueCountFrequency (%)
. 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 748
51.9%
Latin 692
48.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 120
16.0%
1 86
11.5%
3 81
10.8%
8 69
9.2%
5 67
9.0%
4 67
9.0%
2 66
8.8%
6 63
8.4%
9 48
 
6.4%
7 42
 
5.6%
Latin
ValueCountFrequency (%)
k 173
25.0%
c 173
25.0%
a 173
25.0%
l 173
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 173
12.0%
c 173
12.0%
a 173
12.0%
l 173
12.0%
. 120
8.3%
1 86
 
6.0%
3 81
 
5.6%
8 69
 
4.8%
5 67
 
4.7%
4 67
 
4.7%
Other values (5) 258
17.9%

열량합계
Categorical

Distinct31
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3265.90kcal
 
8
3209.03kcal
 
7
2617.57kcal
 
7
2661.38kcal
 
7
2725.16kcal
 
7
Other values (26)
152 

Length

Max length11
Median length11
Mean length10.994681
Min length10

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row2468.68kcal
2nd row2468.68kcal
3rd row2468.68kcal
4th row2468.68kcal
5th row2468.68kcal

Common Values

ValueCountFrequency (%)
3265.90kcal 8
 
4.3%
3209.03kcal 7
 
3.7%
2617.57kcal 7
 
3.7%
2661.38kcal 7
 
3.7%
2725.16kcal 7
 
3.7%
3098.68kcal 7
 
3.7%
3110.51kcal 7
 
3.7%
2360.10kcal 6
 
3.2%
3377.98kcal 6
 
3.2%
3093.68kcal 6
 
3.2%
Other values (21) 120
63.8%

Length

2023-12-12T21:58:54.400142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3265.90kcal 8
 
4.3%
2617.57kcal 7
 
3.7%
2661.38kcal 7
 
3.7%
2725.16kcal 7
 
3.7%
3098.68kcal 7
 
3.7%
3110.51kcal 7
 
3.7%
3209.03kcal 7
 
3.7%
3224.35kcal 6
 
3.2%
3198.27kcal 6
 
3.2%
3690.55kcal 6
 
3.2%
Other values (21) 120
63.8%

Correlations

2023-12-12T21:58:54.500175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량중식중식열량석식열량열량합계
날짜1.0000.0000.0000.0000.0000.0001.000
조식0.0001.0001.0000.9920.9920.9850.000
조식열량0.0001.0001.0000.9920.9920.9850.000
중식0.0000.9920.9921.0001.0000.9780.000
중식열량0.0000.9920.9921.0001.0000.9790.000
석식열량0.0000.9850.9850.9780.9791.0000.000
열량합계1.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-12T21:58:49.039692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:58:49.235966image/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.
2023-12-12T21:58:49.392991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

날짜조식조식열량중식중식열량석식석식열량열량합계
02021-08-01쇠고기야채덮밥(05)(06)(16)538.36kcal밥363kcal밥363kcal2468.68kcal
12021-08-01생선묵찌개(05)(06)88.09kcal버섯매운탕(05)(06)(16)63.39kcal닭곰탕(15)134.77kcal2468.68kcal
22021-08-01부추겉절이(05)(06)34.86kcal돈육야채볶음(05)(06)(10)343.81kcal마파두부(05)(06)(10)178.19kcal2468.68kcal
32021-08-01배추김치(7~9월)8kcal계란찜(01)(09)87.76kcal조미김0kcal2468.68kcal
42021-08-01우유(백색우유(200ML,연간))(02)122kcal배추김치(7~9월)8kcal감자매운조림(05)(06)71.45kcal2468.68kcal
52021-08-01<NA><NA>유산균 발효 음료(02)56kcal배추김치(7~9월)8kcal2468.68kcal
62021-08-02밥363kcal잡곡밥391.54kcal밥363kcal3059.55kcal
72021-08-02쇠고기미역국(05)(16)24.27kcal콩나물김치국(05)22.77kcal두부고추장찌개(05)(06)(16)88.63kcal3059.55kcal
82021-08-02돈육미나리볶음(05)(06)(10)365.79kcal오리고추장주물럭(05)(06)331.11kcal돈가스(06)(10)589.76kcal3059.55kcal
92021-08-02오이양파무침(05)(06)40.31kcal모듬쌈(05)(06)40.7kcal방울토마토샐러드(01)(12)92.27kcal3059.55kcal
날짜조식조식열량중식중식열량석식석식열량열량합계
1782021-08-30계란찜(01)(09)87.76kcal초코우유(02)126kcal양배추쌈(05)(06)57.2kcal3110.51kcal
1792021-08-30조미김0kcal멕시칸샐러드(01)(10)111.99kcal배추김치(7~9월)8kcal3110.51kcal
1802021-08-30배추김치(7~9월)8kcal깍두기(완제품)(09)15.2kcal멜론(여름)54kcal3110.51kcal
1812021-08-30우유(백색우유(200ML,연간))(02)122kcal<NA><NA><NA><NA>3110.51kcal
1822021-08-31밥363kcal찰보리밥378.8kcal고추참치김치덮밥595.41kcal3164.39kcal
1832021-08-31쇠고기미역국(05)(16)24.27kcal짬뽕찌개(05)(09)(10)(17)83.04kcal닭곰탕(15)134.77kcal3164.39kcal
1842021-08-31닭순살감자조림(05)(06)(15)109.4kcal생선가스(01)(06)581.28kcal계란후라이(01)97.91kcal3164.39kcal
1852021-08-31오이양파무침(05)(06)40.31kcal콩나물매운무침(05)(06)40.25kcal깍두기(완제품)(09)15.2kcal3164.39kcal
1862021-08-31열무김치12.8kcal배추김치(7~9월)8kcal즉석쌀국수(멸치맛)(06)325kcal3164.39kcal
1872021-08-31우유(백색우유(200ML,연간))(02)122kcal대추방울토마토(생산기)(12)22.95kcal두유(300ML)210kcal3164.39kcal