Overview

Dataset statistics

Number of variables8
Number of observations196
Missing cells204
Missing cells (%)13.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory64.7 B

Variable types

Categorical2
Text6

Dataset

Description제3296부대의 식단정보입니다. 월간 표준식단 자료로서 날짜별 조식, 중식, 석식 식단과 식단별 열량 자료를 제공합니다. 식단명 뒤의 숫자는 알레르기 유발식품을 의미하며, 세부 정보는 다음과 같습니다.(다만, 숫자와 알레르기 유발식품 간의 연결이 변동될 수 있으므로 알레르기 보유자는 식단 편성 부대에 세부적으로 다시 한 번 확인해보시기를 바랍니다.)
Author국방부
URLhttps://www.data.go.kr/data/15077866/fileData.do

Alerts

날짜 is highly overall correlated with 열량합계High correlation
열량합계 is highly overall correlated with 날짜High correlation
조식 has 14 (7.1%) missing valuesMissing
조식열량 has 15 (7.7%) missing valuesMissing
중식 has 46 (23.5%) missing valuesMissing
중식열량 has 48 (24.5%) missing valuesMissing
석식 has 39 (19.9%) missing valuesMissing
증특식열량 has 42 (21.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:30:39.656526
Analysis finished2023-12-12 08:30:41.356694
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2021-08-31
 
7
2021-08-10
 
7
2021-08-20
 
7
2021-08-18
 
7
2021-08-29
 
7
Other values (26)
161 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-01
2nd row2021-08-01
3rd row2021-08-01
4th row2021-08-01
5th row2021-08-01

Common Values

ValueCountFrequency (%)
2021-08-31 7
 
3.6%
2021-08-10 7
 
3.6%
2021-08-20 7
 
3.6%
2021-08-18 7
 
3.6%
2021-08-29 7
 
3.6%
2021-08-27 7
 
3.6%
2021-08-06 7
 
3.6%
2021-08-09 7
 
3.6%
2021-08-26 7
 
3.6%
2021-08-11 7
 
3.6%
Other values (21) 126
64.3%

Length

2023-12-12T17:30:41.429618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-31 7
 
3.6%
2021-08-26 7
 
3.6%
2021-08-10 7
 
3.6%
2021-08-22 7
 
3.6%
2021-08-15 7
 
3.6%
2021-08-24 7
 
3.6%
2021-08-13 7
 
3.6%
2021-08-11 7
 
3.6%
2021-08-12 7
 
3.6%
2021-08-09 7
 
3.6%
Other values (21) 126
64.3%

조식
Text

MISSING 

Distinct77
Distinct (%)42.3%
Missing14
Missing (%)7.1%
Memory size1.7 KiB
2023-12-12T17:30:41.724501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length12.214286
Min length1

Characters and Unicode

Total characters2223
Distinct characters150
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)25.8%

Sample

1st row닭죽(01)(15)
2nd row멸치볶음
3rd row콩나물매운무침(05)
4th row배추김치(7~9월)
5th row우유(백색우유(200ML,연간))(02)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 25
 
13.1%
밥 20
 
10.5%
배추김치(7~9월 19
 
9.9%
맛김 11
 
5.8%
쇠고기무국(05)(16 4
 
2.1%
쇠고기감자조림(05)(06)(16 3
 
1.6%
깍두기(완제품)(09 3
 
1.6%
멸치볶음 3
 
1.6%
열무김치 3
 
1.6%
계란장조림(01)(05)(06 3
 
1.6%
Other values (73) 97
50.8%
2023-12-12T17:30:42.162277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 300
 
13.5%
( 300
 
13.5%
0 239
 
10.8%
1 77
 
3.5%
6 74
 
3.3%
2 67
 
3.0%
5 60
 
2.7%
유 55
 
2.5%
우 53
 
2.4%
김 44
 
2.0%
Other values (140) 954
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 946
42.6%
Decimal Number 570
25.6%
Close Punctuation 300
 
13.5%
Open Punctuation 300
 
13.5%
Uppercase Letter 50
 
2.2%
Other Punctuation 27
 
1.2%
Math Symbol 19
 
0.9%
Space Separator 9
 
0.4%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 55
 
5.8%
우 53
 
5.6%
김 44
 
4.7%
치 39
 
4.1%
음 30
 
3.2%
고 28
 
3.0%
볶 28
 
3.0%
연 27
 
2.9%
백 26
 
2.7%
밥 26
 
2.7%
Other values (123) 590
62.4%
Decimal Number
ValueCountFrequency (%)
0 239
41.9%
1 77
 
13.5%
6 74
 
13.0%
2 67
 
11.8%
5 60
 
10.5%
9 27
 
4.7%
7 25
 
4.4%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
M 25
50.0%
L 25
50.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1225
55.1%
Hangul 946
42.6%
Latin 52
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 55
 
5.8%
우 53
 
5.6%
김 44
 
4.7%
치 39
 
4.1%
음 30
 
3.2%
고 28
 
3.0%
볶 28
 
3.0%
연 27
 
2.9%
백 26
 
2.7%
밥 26
 
2.7%
Other values (123) 590
62.4%
Common
ValueCountFrequency (%)
) 300
24.5%
( 300
24.5%
0 239
19.5%
1 77
 
6.3%
6 74
 
6.0%
2 67
 
5.5%
5 60
 
4.9%
, 27
 
2.2%
9 27
 
2.2%
7 25
 
2.0%
Other values (3) 29
 
2.4%
Latin
ValueCountFrequency (%)
M 25
48.1%
L 25
48.1%
m 1
 
1.9%
l 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1277
57.4%
Hangul 946
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 300
23.5%
( 300
23.5%
0 239
18.7%
1 77
 
6.0%
6 74
 
5.8%
2 67
 
5.2%
5 60
 
4.7%
, 27
 
2.1%
9 27
 
2.1%
M 25
 
2.0%
Other values (7) 81
 
6.3%
Hangul
ValueCountFrequency (%)
유 55
 
5.8%
우 53
 
5.6%
김 44
 
4.7%
치 39
 
4.1%
음 30
 
3.2%
고 28
 
3.0%
볶 28
 
3.0%
연 27
 
2.9%
백 26
 
2.7%
밥 26
 
2.7%
Other values (123) 590
62.4%

조식열량
Text

MISSING 

Distinct76
Distinct (%)42.0%
Missing15
Missing (%)7.7%
Memory size1.7 KiB
2023-12-12T17:30:42.442060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.2154696
Min length5

Characters and Unicode

Total characters1487
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

Unique46 ?
Unique (%)25.4%

Sample

1st row480.62kcal
2nd row94.25kcal
3rd row41.16kcal
4th row8.75kcal
5th row122kcal
ValueCountFrequency (%)
122kcal 25
 
13.8%
363kcal 20
 
11.0%
8.75kcal 19
 
10.5%
0kcal 11
 
6.1%
35.02kcal 4
 
2.2%
34.68kcal 3
 
1.7%
101.34kcal 3
 
1.7%
15.2kcal 3
 
1.7%
94.25kcal 3
 
1.7%
156.8kcal 3
 
1.7%
Other values (66) 87
48.1%
2023-12-12T17:30:42.862031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 181
12.2%
c 181
12.2%
a 181
12.2%
l 181
12.2%
. 118
7.9%
1 103
6.9%
3 92
 
6.2%
2 91
 
6.1%
5 68
 
4.6%
8 60
 
4.0%
Other values (5) 231
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 724
48.7%
Decimal Number 645
43.4%
Other Punctuation 118
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 103
16.0%
3 92
14.3%
2 91
14.1%
5 68
10.5%
8 60
9.3%
7 57
8.8%
6 50
7.8%
4 47
7.3%
0 43
6.7%
9 34
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
k 181
25.0%
c 181
25.0%
a 181
25.0%
l 181
25.0%
Other Punctuation
ValueCountFrequency (%)
. 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 763
51.3%
Latin 724
48.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 118
15.5%
1 103
13.5%
3 92
12.1%
2 91
11.9%
5 68
8.9%
8 60
7.9%
7 57
7.5%
6 50
6.6%
4 47
 
6.2%
0 43
 
5.6%
Latin
ValueCountFrequency (%)
k 181
25.0%
c 181
25.0%
a 181
25.0%
l 181
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1487
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 181
12.2%
c 181
12.2%
a 181
12.2%
l 181
12.2%
. 118
7.9%
1 103
6.9%
3 92
 
6.2%
2 91
 
6.1%
5 68
 
4.6%
8 60
 
4.0%
Other values (5) 231
15.5%

중식
Text

MISSING 

Distinct95
Distinct (%)63.3%
Missing46
Missing (%)23.5%
Memory size1.7 KiB
2023-12-12T17:30:43.131403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length12.04
Min length1

Characters and Unicode

Total characters1806
Distinct characters201
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)49.3%

Sample

1st row밥
2nd row팽이버섯국(05)(06)
3rd row한우불고기(05)(06)(16)
4th row양배추쌈(05)(06)
5th row깍두기(완제품)(09)
ValueCountFrequency (%)
배추김치(7~9월 14
 
8.9%
깍두기(완제품)(09 7
 
4.5%
우유(백색우유(200ml,연간))(02 6
 
3.8%
열무김치 6
 
3.8%
밥 5
 
3.2%
밀쌀밥 4
 
2.5%
미역오이냉국(05 3
 
1.9%
탄산음료 3
 
1.9%
상추겉절이(05)(06 3
 
1.9%
찹쌀밥 3
 
1.9%
Other values (91) 103
65.6%
2023-12-12T17:30:43.562002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 254
 
14.1%
) 254
 
14.1%
0 193
 
10.7%
6 74
 
4.1%
5 69
 
3.8%
1 67
 
3.7%
치 29
 
1.6%
김 28
 
1.6%
추 27
 
1.5%
밥 25
 
1.4%
Other values (191) 786
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 773
42.8%
Decimal Number 477
26.4%
Open Punctuation 254
 
14.1%
Close Punctuation 254
 
14.1%
Math Symbol 15
 
0.8%
Uppercase Letter 12
 
0.7%
Other Punctuation 11
 
0.6%
Space Separator 7
 
0.4%
Lowercase Letter 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 29
 
3.8%
김 28
 
3.6%
추 27
 
3.5%
밥 25
 
3.2%
기 21
 
2.7%
이 18
 
2.3%
배 18
 
2.3%
고 17
 
2.2%
무 16
 
2.1%
월 15
 
1.9%
Other values (169) 559
72.3%
Decimal Number
ValueCountFrequency (%)
0 193
40.5%
6 74
 
15.5%
5 69
 
14.5%
1 67
 
14.0%
7 23
 
4.8%
9 23
 
4.8%
2 19
 
4.0%
8 5
 
1.0%
3 3
 
0.6%
4 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 14
93.3%
∼ 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
/ 3
 
27.3%
Uppercase Letter
ValueCountFrequency (%)
L 6
50.0%
M 6
50.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1019
56.4%
Hangul 773
42.8%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 29
 
3.8%
김 28
 
3.6%
추 27
 
3.5%
밥 25
 
3.2%
기 21
 
2.7%
이 18
 
2.3%
배 18
 
2.3%
고 17
 
2.2%
무 16
 
2.1%
월 15
 
1.9%
Other values (169) 559
72.3%
Common
ValueCountFrequency (%)
( 254
24.9%
) 254
24.9%
0 193
18.9%
6 74
 
7.3%
5 69
 
6.8%
1 67
 
6.6%
7 23
 
2.3%
9 23
 
2.3%
2 19
 
1.9%
~ 14
 
1.4%
Other values (8) 29
 
2.8%
Latin
ValueCountFrequency (%)
L 6
42.9%
M 6
42.9%
m 1
 
7.1%
l 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1031
57.1%
Hangul 773
42.8%
Math Operators 1
 
0.1%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 254
24.6%
) 254
24.6%
0 193
18.7%
6 74
 
7.2%
5 69
 
6.7%
1 67
 
6.5%
7 23
 
2.2%
9 23
 
2.2%
2 19
 
1.8%
~ 14
 
1.4%
Other values (10) 41
 
4.0%
Hangul
ValueCountFrequency (%)
치 29
 
3.8%
김 28
 
3.6%
추 27
 
3.5%
밥 25
 
3.2%
기 21
 
2.7%
이 18
 
2.3%
배 18
 
2.3%
고 17
 
2.2%
무 16
 
2.1%
월 15
 
1.9%
Other values (169) 559
72.3%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

중식열량
Text

MISSING 

Distinct92
Distinct (%)62.2%
Missing48
Missing (%)24.5%
Memory size1.7 KiB
2023-12-12T17:30:43.956758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.8378378
Min length6

Characters and Unicode

Total characters1308
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 (%)47.3%

Sample

1st row363kcal
2nd row45.48kcal
3rd row274.79kcal
4th row41.94kcal
5th row15.2kcal
ValueCountFrequency (%)
8.75kcal 14
 
9.5%
15.2kcal 7
 
4.7%
122kcal 6
 
4.1%
12.8kcal 6
 
4.1%
363kcal 5
 
3.4%
363.83kcal 4
 
2.7%
26.28kcal 3
 
2.0%
117.5kcal 3
 
2.0%
384.54kcal 3
 
2.0%
29.24kcal 3
 
2.0%
Other values (82) 94
63.5%
2023-12-12T17:30:44.490355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 148
11.3%
c 148
11.3%
a 148
11.3%
l 148
11.3%
. 127
9.7%
3 79
 
6.0%
5 78
 
6.0%
2 77
 
5.9%
1 75
 
5.7%
8 64
 
4.9%
Other values (5) 216
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 592
45.3%
Decimal Number 589
45.0%
Other Punctuation 127
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 79
13.4%
5 78
13.2%
2 77
13.1%
1 75
12.7%
8 64
10.9%
7 56
9.5%
4 54
9.2%
6 44
7.5%
9 37
6.3%
0 25
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
k 148
25.0%
c 148
25.0%
a 148
25.0%
l 148
25.0%
Other Punctuation
ValueCountFrequency (%)
. 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 716
54.7%
Latin 592
45.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 127
17.7%
3 79
11.0%
5 78
10.9%
2 77
10.8%
1 75
10.5%
8 64
8.9%
7 56
7.8%
4 54
7.5%
6 44
 
6.1%
9 37
 
5.2%
Latin
ValueCountFrequency (%)
k 148
25.0%
c 148
25.0%
a 148
25.0%
l 148
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 148
11.3%
c 148
11.3%
a 148
11.3%
l 148
11.3%
. 127
9.7%
3 79
 
6.0%
5 78
 
6.0%
2 77
 
5.9%
1 75
 
5.7%
8 64
 
4.9%
Other values (5) 216
16.5%

석식
Text

MISSING 

Distinct90
Distinct (%)57.3%
Missing39
Missing (%)19.9%
Memory size1.7 KiB
2023-12-12T17:30:44.776466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.815287
Min length1

Characters and Unicode

Total characters1698
Distinct characters179
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

Unique60 ?
Unique (%)38.2%

Sample

1st row찹쌀밥
2nd row햄김치찌개(05)(06)(10)
3rd row돼지고기고추장볶음(05)(06)(10)
4th row무생채
5th row열무김치
ValueCountFrequency (%)
배추김치(7~9월 16
 
10.0%
밥 11
 
6.9%
깍두기(완제품)(09 6
 
3.8%
현미밥 4
 
2.5%
열무김치 4
 
2.5%
상추쌈(05)(06 3
 
1.9%
찰보리밥 3
 
1.9%
계란후라이(01 3
 
1.9%
쇠고기미역국(05)(16 3
 
1.9%
무생채 3
 
1.9%
Other values (83) 104
65.0%
2023-12-12T17:30:45.158262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 230
 
13.5%
) 230
 
13.5%
0 180
 
10.6%
6 72
 
4.2%
5 68
 
4.0%
1 63
 
3.7%
추 32
 
1.9%
김 32
 
1.9%
고 31
 
1.8%
치 29
 
1.7%
Other values (169) 731
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 751
44.2%
Decimal Number 444
26.1%
Open Punctuation 230
 
13.5%
Close Punctuation 230
 
13.5%
Math Symbol 16
 
0.9%
Other Punctuation 12
 
0.7%
Uppercase Letter 6
 
0.4%
Space Separator 4
 
0.2%
Lowercase Letter 4
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 32
 
4.3%
김 32
 
4.3%
고 31
 
4.1%
치 29
 
3.9%
밥 29
 
3.9%
기 28
 
3.7%
배 20
 
2.7%
장 17
 
2.3%
국 17
 
2.3%
월 16
 
2.1%
Other values (148) 500
66.6%
Decimal Number
ValueCountFrequency (%)
0 180
40.5%
6 72
 
16.2%
5 68
 
15.3%
1 63
 
14.2%
9 23
 
5.2%
7 22
 
5.0%
2 10
 
2.3%
8 2
 
0.5%
3 2
 
0.5%
4 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
/ 3
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
50.0%
L 3
50.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
m 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 230
100.0%
Close Punctuation
ValueCountFrequency (%)
) 230
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 937
55.2%
Hangul 751
44.2%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 32
 
4.3%
김 32
 
4.3%
고 31
 
4.1%
치 29
 
3.9%
밥 29
 
3.9%
기 28
 
3.7%
배 20
 
2.7%
장 17
 
2.3%
국 17
 
2.3%
월 16
 
2.1%
Other values (148) 500
66.6%
Common
ValueCountFrequency (%)
( 230
24.5%
) 230
24.5%
0 180
19.2%
6 72
 
7.7%
5 68
 
7.3%
1 63
 
6.7%
9 23
 
2.5%
7 22
 
2.3%
~ 16
 
1.7%
2 10
 
1.1%
Other values (7) 23
 
2.5%
Latin
ValueCountFrequency (%)
M 3
30.0%
L 3
30.0%
l 2
20.0%
m 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 946
55.7%
Hangul 751
44.2%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 230
24.3%
) 230
24.3%
0 180
19.0%
6 72
 
7.6%
5 68
 
7.2%
1 63
 
6.7%
9 23
 
2.4%
7 22
 
2.3%
~ 16
 
1.7%
2 10
 
1.1%
Other values (10) 32
 
3.4%
Hangul
ValueCountFrequency (%)
추 32
 
4.3%
김 32
 
4.3%
고 31
 
4.1%
치 29
 
3.9%
밥 29
 
3.9%
기 28
 
3.7%
배 20
 
2.7%
장 17
 
2.3%
국 17
 
2.3%
월 16
 
2.1%
Other values (148) 500
66.6%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

증특식열량
Text

MISSING 

Distinct87
Distinct (%)56.5%
Missing42
Missing (%)21.4%
Memory size1.7 KiB
2023-12-12T17:30:45.473281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.8116883
Min length5

Characters and Unicode

Total characters1357
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

Unique57 ?
Unique (%)37.0%

Sample

1st row384.54kcal
2nd row104.33kcal
3rd row410.35kcal
4th row34.72kcal
5th row12.8kcal
ValueCountFrequency (%)
8.75kcal 16
 
10.4%
363kcal 11
 
7.1%
15.2kcal 6
 
3.9%
12.8kcal 4
 
2.6%
384.78kcal 4
 
2.6%
41.91kcal 3
 
1.9%
385.12kcal 3
 
1.9%
384.54kcal 3
 
1.9%
31.49kcal 3
 
1.9%
34.72kcal 3
 
1.9%
Other values (77) 98
63.6%
2023-12-12T17:30:45.961925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 154
11.3%
c 154
11.3%
a 154
11.3%
l 154
11.3%
. 132
9.7%
3 80
 
5.9%
5 79
 
5.8%
1 79
 
5.8%
8 71
 
5.2%
4 69
 
5.1%
Other values (5) 231
17.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 616
45.4%
Decimal Number 609
44.9%
Other Punctuation 132
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 80
13.1%
5 79
13.0%
1 79
13.0%
8 71
11.7%
4 69
11.3%
7 59
9.7%
2 56
9.2%
6 44
7.2%
9 41
6.7%
0 31
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
k 154
25.0%
c 154
25.0%
a 154
25.0%
l 154
25.0%
Other Punctuation
ValueCountFrequency (%)
. 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 741
54.6%
Latin 616
45.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 132
17.8%
3 80
10.8%
5 79
10.7%
1 79
10.7%
8 71
9.6%
4 69
9.3%
7 59
8.0%
2 56
7.6%
6 44
 
5.9%
9 41
 
5.5%
Latin
ValueCountFrequency (%)
k 154
25.0%
c 154
25.0%
a 154
25.0%
l 154
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1357
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 154
11.3%
c 154
11.3%
a 154
11.3%
l 154
11.3%
. 132
9.7%
3 80
 
5.9%
5 79
 
5.8%
1 79
 
5.8%
8 71
 
5.2%
4 69
 
5.1%
Other values (5) 231
17.0%

열량합계
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2562.59kcal
 
7
3118.76kcal
 
7
2924.37kcal
 
7
2686.71kcal
 
7
2776.29kcal
 
7
Other values (26)
161 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2433.93kcal
2nd row2433.93kcal
3rd row2433.93kcal
4th row2433.93kcal
5th row2433.93kcal

Common Values

ValueCountFrequency (%)
2562.59kcal 7
 
3.6%
3118.76kcal 7
 
3.6%
2924.37kcal 7
 
3.6%
2686.71kcal 7
 
3.6%
2776.29kcal 7
 
3.6%
2568.18kcal 7
 
3.6%
3420.22kcal 7
 
3.6%
2859.48kcal 7
 
3.6%
3125.94kcal 7
 
3.6%
2976.73kcal 7
 
3.6%
Other values (21) 126
64.3%

Length

2023-12-12T17:30:46.435861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2562.59kcal 7
 
3.6%
3125.94kcal 7
 
3.6%
3118.76kcal 7
 
3.6%
2139.19kcal 7
 
3.6%
2586.42kcal 7
 
3.6%
2504.31kcal 7
 
3.6%
2979.85kcal 7
 
3.6%
2976.73kcal 7
 
3.6%
2994.59kcal 7
 
3.6%
2859.48kcal 7
 
3.6%
Other values (21) 126
64.3%

Correlations

2023-12-12T17:30:46.540391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량중식중식열량석식증특식열량열량합계
날짜1.0000.0000.0000.0000.0000.0000.0001.000
조식0.0001.0001.0000.9630.9520.9780.9760.000
조식열량0.0001.0001.0000.9630.9520.9780.9760.000
중식0.0000.9630.9631.0001.0000.9490.9490.000
중식열량0.0000.9520.9521.0001.0000.9480.9480.000
석식0.0000.9780.9780.9490.9481.0001.0000.000
증특식열량0.0000.9760.9760.9490.9481.0001.0000.000
열량합계1.0000.0000.0000.0000.0000.0000.0001.000
2023-12-12T17:30:46.658487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000
2023-12-12T17:30:46.746646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000

Missing values

2023-12-12T17:30:40.895181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:30:41.091729image/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.
2023-12-12T17:30:41.266914image/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

날짜조식조식열량중식중식열량석식증특식열량열량합계
02021-08-01닭죽(01)(15)480.62kcal밥363kcal찹쌀밥384.54kcal2433.93kcal
12021-08-01멸치볶음94.25kcal팽이버섯국(05)(06)45.48kcal햄김치찌개(05)(06)(10)104.33kcal2433.93kcal
22021-08-01콩나물매운무침(05)41.16kcal한우불고기(05)(06)(16)274.79kcal돼지고기고추장볶음(05)(06)(10)410.35kcal2433.93kcal
32021-08-01배추김치(7~9월)8.75kcal양배추쌈(05)(06)41.94kcal무생채34.72kcal2433.93kcal
42021-08-01우유(백색우유(200ML,연간))(02)122kcal깍두기(완제품)(09)15.2kcal열무김치12.8kcal2433.93kcal
52021-08-01<NA><NA><NA><NA>주스,프레주복숭아<NA>2433.93kcal
62021-08-02밥363kcal잡채밥(05)(06)(10)598.46kcal현미밥384.78kcal3194.93kcal
72021-08-02감자짜글이(05)(06)(10)133.82kcal순두부해물찌개(01)(05)(06)(17)(18)150.8kcal두부김치국(05)47.34kcal3194.93kcal
82021-08-02계란장조림(01)(05)(06)156.8kcal주꾸미삼겹살볶음(05)(06)(10)305.63kcal돼지불고기(05)(06)(10)402.37kcal3194.93kcal
92021-08-02오징어젓무침(17)41.09kcal깍두기(완제품)(09)15.2kcal가지탕수(06)(12)345.74kcal3194.93kcal
날짜조식조식열량중식중식열량석식증특식열량열량합계
1862021-08-30계란장조림(01)(05)(06)156.8kcal상추겉절이(05)(06)29.24kcal오이양파장아찌(05)(06)29.8kcal2933.89kcal
1872021-08-30깍두기(완제품)(09)15.2kcal열무김치12.8kcal배추김치(7~9월)8.75kcal2933.89kcal
1882021-08-30우유(백색우유(200ML,연간))(02)122kcal<NA><NA>팥빙수180kcal2933.89kcal
1892021-08-31밥363kcal밥363kcal현미밥384.78kcal2562.59kcal
1902021-08-31대파국(05)(16)51.53kcal감자짜글이(05)(06)(10)133.82kcal팽이버섯국(05)(06)45.48kcal2562.59kcal
1912021-08-31생선묵꽈리고추볶음(05)(06)99.18kcal무생채34.72kcal오삼불고기(05)(06)(10)(17)307.77kcal2562.59kcal
1922021-08-31맛김0kcal오징어튀김샐러드/소스(05)(06)144.48kcal상추쌈(05)(06)41.91kcal2562.59kcal
1932021-08-31우엉쇠고기조림(05)(06)(16)110.07kcal배추김치(7~9월)8.75kcal배추김치(7~9월)8.75kcal2562.59kcal
1942021-08-31배추김치(7~9월)8.75kcal자두(추희)41.6kcal감귤 주스(340㎖/ 페트)44kcal2562.59kcal
1952021-08-31우유(백색우유(200ML,연간))(02)122kcal건빵(야채맛)249kcal<NA><NA>2562.59kcal