Overview

Dataset statistics

Number of variables8
Number of observations201
Missing cells151
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory64.7 B

Variable types

Categorical2
Text6

Dataset

Description제3389부대의 식단 정보입니다. 일자별 조식, 중식, 석식 메뉴, 메뉴별 칼로리, 일일 총 열량 데이터를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069409/fileData.do

Alerts

열량합계 is highly overall correlated with 날짜High correlation
날짜 is highly overall correlated with 열량합계High correlation
조식 has 23 (11.4%) missing valuesMissing
조식열량 has 23 (11.4%) missing valuesMissing
중식 has 29 (14.4%) missing valuesMissing
중식열량 has 31 (15.4%) missing valuesMissing
석식 has 21 (10.4%) missing valuesMissing
석식열량 has 24 (11.9%) missing valuesMissing

Reproduction

Analysis started2024-04-18 05:02:54.324347
Analysis finished2024-04-18 05:02:57.000424
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2021-08-15
 
8
2021-08-10
 
7
2021-08-01
 
7
2021-08-30
 
7
2021-08-29
 
7
Other values (26)
165 

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 (%)
2021-08-15 8
 
4.0%
2021-08-10 7
 
3.5%
2021-08-01 7
 
3.5%
2021-08-30 7
 
3.5%
2021-08-29 7
 
3.5%
2021-08-07 7
 
3.5%
2021-08-09 7
 
3.5%
2021-08-06 7
 
3.5%
2021-08-12 7
 
3.5%
2021-08-24 7
 
3.5%
Other values (21) 130
64.7%

Length

2024-04-18T14:02:57.059788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-15 8
 
4.0%
2021-08-12 7
 
3.5%
2021-08-10 7
 
3.5%
2021-08-26 7
 
3.5%
2021-08-18 7
 
3.5%
2021-08-02 7
 
3.5%
2021-08-24 7
 
3.5%
2021-08-23 7
 
3.5%
2021-08-06 7
 
3.5%
2021-08-09 7
 
3.5%
Other values (21) 130
64.7%

조식
Text

MISSING 

Distinct74
Distinct (%)41.6%
Missing23
Missing (%)11.4%
Memory size1.7 KiB
2024-04-18T14:02:57.311833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length13.039326
Min length1

Characters and Unicode

Total characters2321
Distinct characters146
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)27.5%

Sample

1st row밥
2nd row북어채국(05)
3rd row쇠고기야채볶음(05)(06)(16)
4th row맛김
5th row두부조림(05)(06)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 30
 
16.8%
밥 22
 
12.3%
배추김치(7~9월 17
 
9.5%
맛김 7
 
3.9%
깍두기(완제품)(09 6
 
3.4%
스크램블에그(01 4
 
2.2%
오징어채무침(01)(05)(06)(17 3
 
1.7%
오징어젓무침(17 3
 
1.7%
감자매운조림(05)(06 3
 
1.7%
쇠고기미역국(05)(16 3
 
1.7%
Other values (65) 81
45.3%
2024-04-18T14:02:57.718944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 324
 
14.0%
( 324
 
14.0%
0 258
 
11.1%
1 92
 
4.0%
2 76
 
3.3%
5 63
 
2.7%
유 63
 
2.7%
우 62
 
2.7%
6 57
 
2.5%
김 36
 
1.6%
Other values (136) 966
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
41.4%
Decimal Number 603
26.0%
Close Punctuation 324
 
14.0%
Open Punctuation 324
 
14.0%
Uppercase Letter 60
 
2.6%
Other Punctuation 31
 
1.3%
Math Symbol 17
 
0.7%
Other Symbol 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
 
6.6%
우 62
 
6.5%
김 36
 
3.8%
연 31
 
3.2%
백 31
 
3.2%
색 30
 
3.1%
치 30
 
3.1%
간 30
 
3.1%
기 27
 
2.8%
밥 24
 
2.5%
Other values (119) 596
62.1%
Decimal Number
ValueCountFrequency (%)
0 258
42.8%
1 92
 
15.3%
2 76
 
12.6%
5 63
 
10.4%
6 57
 
9.5%
7 28
 
4.6%
9 26
 
4.3%
8 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
L 30
50.0%
M 30
50.0%
Other Punctuation
ValueCountFrequency (%)
, 30
96.8%
/ 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 324
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1301
56.1%
Hangul 960
41.4%
Latin 60
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
 
6.6%
우 62
 
6.5%
김 36
 
3.8%
연 31
 
3.2%
백 31
 
3.2%
색 30
 
3.1%
치 30
 
3.1%
간 30
 
3.1%
기 27
 
2.8%
밥 24
 
2.5%
Other values (119) 596
62.1%
Common
ValueCountFrequency (%)
) 324
24.9%
( 324
24.9%
0 258
19.8%
1 92
 
7.1%
2 76
 
5.8%
5 63
 
4.8%
6 57
 
4.4%
, 30
 
2.3%
7 28
 
2.2%
9 26
 
2.0%
Other values (5) 23
 
1.8%
Latin
ValueCountFrequency (%)
L 30
50.0%
M 30
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1360
58.6%
Hangul 960
41.4%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 324
23.8%
( 324
23.8%
0 258
19.0%
1 92
 
6.8%
2 76
 
5.6%
5 63
 
4.6%
6 57
 
4.2%
L 30
 
2.2%
, 30
 
2.2%
M 30
 
2.2%
Other values (6) 76
 
5.6%
Hangul
ValueCountFrequency (%)
유 63
 
6.6%
우 62
 
6.5%
김 36
 
3.8%
연 31
 
3.2%
백 31
 
3.2%
색 30
 
3.1%
치 30
 
3.1%
간 30
 
3.1%
기 27
 
2.8%
밥 24
 
2.5%
Other values (119) 596
62.1%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

조식열량
Text

MISSING 

Distinct74
Distinct (%)41.6%
Missing23
Missing (%)11.4%
Memory size1.7 KiB
2024-04-18T14:02:57.956585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.2191011
Min length5

Characters and Unicode

Total characters1463
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

Unique48 ?
Unique (%)27.0%

Sample

1st row363kcal
2nd row30.78kcal
3rd row202.18kcal
4th row0kcal
5th row150.9kcal
ValueCountFrequency (%)
122kcal 28
 
15.7%
363kcal 23
 
12.9%
8.75kcal 17
 
9.6%
0kcal 7
 
3.9%
15.2kcal 6
 
3.4%
154.28kcal 4
 
2.2%
95.33kcal 3
 
1.7%
70.18kcal 3
 
1.7%
39.39kcal 3
 
1.7%
93.09kcal 3
 
1.7%
Other values (64) 81
45.5%
2024-04-18T14:02:58.335113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 178
12.2%
c 178
12.2%
a 178
12.2%
l 178
12.2%
. 114
7.8%
2 112
7.7%
3 95
6.5%
1 88
6.0%
8 64
 
4.4%
5 60
 
4.1%
Other values (5) 218
14.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 712
48.7%
Decimal Number 637
43.5%
Other Punctuation 114
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 112
17.6%
3 95
14.9%
1 88
13.8%
8 64
10.0%
5 60
9.4%
6 53
8.3%
7 45
7.1%
0 42
 
6.6%
4 39
 
6.1%
9 39
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
k 178
25.0%
c 178
25.0%
a 178
25.0%
l 178
25.0%
Other Punctuation
ValueCountFrequency (%)
. 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 751
51.3%
Latin 712
48.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 114
15.2%
2 112
14.9%
3 95
12.6%
1 88
11.7%
8 64
8.5%
5 60
8.0%
6 53
7.1%
7 45
 
6.0%
0 42
 
5.6%
4 39
 
5.2%
Latin
ValueCountFrequency (%)
k 178
25.0%
c 178
25.0%
a 178
25.0%
l 178
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 178
12.2%
c 178
12.2%
a 178
12.2%
l 178
12.2%
. 114
7.8%
2 112
7.7%
3 95
6.5%
1 88
6.0%
8 64
 
4.4%
5 60
 
4.1%
Other values (5) 218
14.9%

중식
Text

MISSING 

Distinct108
Distinct (%)62.8%
Missing29
Missing (%)14.4%
Memory size1.7 KiB
2024-04-18T14:02:58.596913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20.5
Mean length10.854651
Min length1

Characters and Unicode

Total characters1867
Distinct characters208
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

Unique82 ?
Unique (%)47.7%

Sample

1st row흑미밥
2nd row돼지고기감자버섯찌개(05)(06)(10)
3rd row피망멸치볶음(05)(06)
4th row닭고기매운조림(05)(06)(15)
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 16
 
8.9%
열무김치 7
 
3.9%
흑미밥 6
 
3.4%
밥 6
 
3.4%
잡곡밥 5
 
2.8%
깍두기(완제품)(09 5
 
2.8%
현미밥 4
 
2.2%
감자조림(05)(06 3
 
1.7%
찹쌀밥 3
 
1.7%
탄산음료 3
 
1.7%
Other values (105) 121
67.6%
2024-04-18T14:02:58.989336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 253
 
13.6%
) 253
 
13.6%
0 192
 
10.3%
1 78
 
4.2%
5 74
 
4.0%
6 70
 
3.7%
김 36
 
1.9%
치 36
 
1.9%
추 31
 
1.7%
9 29
 
1.6%
Other values (198) 815
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 830
44.5%
Decimal Number 490
26.2%
Open Punctuation 253
 
13.6%
Close Punctuation 253
 
13.6%
Math Symbol 16
 
0.9%
Other Punctuation 9
 
0.5%
Space Separator 7
 
0.4%
Lowercase Letter 5
 
0.3%
Uppercase Letter 3
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 36
 
4.3%
치 36
 
4.3%
추 31
 
3.7%
밥 27
 
3.3%
무 23
 
2.8%
배 21
 
2.5%
고 20
 
2.4%
기 17
 
2.0%
월 16
 
1.9%
이 16
 
1.9%
Other values (176) 587
70.7%
Decimal Number
ValueCountFrequency (%)
0 192
39.2%
1 78
15.9%
5 74
 
15.1%
6 70
 
14.3%
9 29
 
5.9%
7 23
 
4.7%
2 15
 
3.1%
3 5
 
1.0%
8 3
 
0.6%
4 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
/ 3
33.3%
＆ 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
m 3
60.0%
l 2
40.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
66.7%
M 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 253
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1029
55.1%
Hangul 830
44.5%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 36
 
4.3%
치 36
 
4.3%
추 31
 
3.7%
밥 27
 
3.3%
무 23
 
2.8%
배 21
 
2.5%
고 20
 
2.4%
기 17
 
2.0%
월 16
 
1.9%
이 16
 
1.9%
Other values (176) 587
70.7%
Common
ValueCountFrequency (%)
( 253
24.6%
) 253
24.6%
0 192
18.7%
1 78
 
7.6%
5 74
 
7.2%
6 70
 
6.8%
9 29
 
2.8%
7 23
 
2.2%
~ 16
 
1.6%
2 15
 
1.5%
Other values (8) 26
 
2.5%
Latin
ValueCountFrequency (%)
m 3
37.5%
L 2
25.0%
l 2
25.0%
M 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1035
55.4%
Hangul 830
44.5%
CJK Compat 1
 
0.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 253
24.4%
) 253
24.4%
0 192
18.6%
1 78
 
7.5%
5 74
 
7.1%
6 70
 
6.8%
9 29
 
2.8%
7 23
 
2.2%
~ 16
 
1.5%
2 15
 
1.4%
Other values (10) 32
 
3.1%
Hangul
ValueCountFrequency (%)
김 36
 
4.3%
치 36
 
4.3%
추 31
 
3.7%
밥 27
 
3.3%
무 23
 
2.8%
배 21
 
2.5%
고 20
 
2.4%
기 17
 
2.0%
월 16
 
1.9%
이 16
 
1.9%
Other values (176) 587
70.7%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

중식열량
Text

MISSING 

Distinct104
Distinct (%)61.2%
Missing31
Missing (%)15.4%
Memory size1.7 KiB
2024-04-18T14:02:59.307154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.7705882
Min length5

Characters and Unicode

Total characters1491
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

Unique77 ?
Unique (%)45.3%

Sample

1st row374.25kcal
2nd row149.68kcal
3rd row88.55kcal
4th row278.15kcal
5th row8.75kcal
ValueCountFrequency (%)
8.75kcal 16
 
9.4%
12.8kcal 7
 
4.1%
374.25kcal 6
 
3.5%
363kcal 6
 
3.5%
378.73kcal 5
 
2.9%
15.2kcal 5
 
2.9%
383.51kcal 4
 
2.4%
26kcal 3
 
1.8%
87.93kcal 3
 
1.8%
380.95kcal 3
 
1.8%
Other values (94) 112
65.9%
2024-04-18T14:02:59.701139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 170
11.4%
c 170
11.4%
a 170
11.4%
l 170
11.4%
. 144
9.7%
3 89
 
6.0%
5 83
 
5.6%
1 82
 
5.5%
7 79
 
5.3%
8 77
 
5.2%
Other values (5) 257
17.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 680
45.6%
Decimal Number 667
44.7%
Other Punctuation 144
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 89
13.3%
5 83
12.4%
1 82
12.3%
7 79
11.8%
8 77
11.5%
2 74
11.1%
6 54
8.1%
4 48
7.2%
9 45
6.7%
0 36
5.4%
Lowercase Letter
ValueCountFrequency (%)
k 170
25.0%
c 170
25.0%
a 170
25.0%
l 170
25.0%
Other Punctuation
ValueCountFrequency (%)
. 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 811
54.4%
Latin 680
45.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 144
17.8%
3 89
11.0%
5 83
10.2%
1 82
10.1%
7 79
9.7%
8 77
9.5%
2 74
9.1%
6 54
 
6.7%
4 48
 
5.9%
9 45
 
5.5%
Latin
ValueCountFrequency (%)
k 170
25.0%
c 170
25.0%
a 170
25.0%
l 170
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 170
11.4%
c 170
11.4%
a 170
11.4%
l 170
11.4%
. 144
9.7%
3 89
 
6.0%
5 83
 
5.6%
1 82
 
5.5%
7 79
 
5.3%
8 77
 
5.2%
Other values (5) 257
17.2%

석식
Text

MISSING 

Distinct114
Distinct (%)63.3%
Missing21
Missing (%)10.4%
Memory size1.7 KiB
2024-04-18T14:02:59.931236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length11.438889
Min length1

Characters and Unicode

Total characters2059
Distinct characters220
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

Unique92 ?
Unique (%)51.1%

Sample

1st row밥
2nd row쇠고기육개장(01)(05)(16)
3rd row감자채볶음(05)(06)
4th row갑오징어야채무침(05)(06)(17)
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 18
 
9.5%
밥 9
 
4.8%
잡곡밥 7
 
3.7%
생수(500ml,후식 5
 
2.6%
깍두기(완제품)(09 5
 
2.6%
열무김치 4
 
2.1%
현미밥 4
 
2.1%
흑미밥 4
 
2.1%
맛김 3
 
1.6%
오이소박이 3
 
1.6%
Other values (112) 127
67.2%
2024-04-18T14:03:00.304662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 270
 
13.1%
) 270
 
13.1%
0 210
 
10.2%
5 97
 
4.7%
6 79
 
3.8%
1 70
 
3.4%
치 37
 
1.8%
김 34
 
1.7%
밥 31
 
1.5%
9 29
 
1.4%
Other values (210) 932
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
44.9%
Decimal Number 527
25.6%
Open Punctuation 270
 
13.1%
Close Punctuation 270
 
13.1%
Math Symbol 19
 
0.9%
Other Punctuation 17
 
0.8%
Uppercase Letter 11
 
0.5%
Space Separator 9
 
0.4%
Lowercase Letter 9
 
0.4%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 37
 
4.0%
김 34
 
3.7%
밥 31
 
3.4%
추 27
 
2.9%
고 25
 
2.7%
기 23
 
2.5%
배 20
 
2.2%
이 19
 
2.1%
장 19
 
2.1%
월 19
 
2.1%
Other values (188) 671
72.5%
Decimal Number
ValueCountFrequency (%)
0 210
39.8%
5 97
18.4%
6 79
 
15.0%
1 70
 
13.3%
9 29
 
5.5%
7 26
 
4.9%
2 8
 
1.5%
8 4
 
0.8%
3 2
 
0.4%
4 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 18
94.7%
∼ 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 13
76.5%
/ 4
 
23.5%
Uppercase Letter
ValueCountFrequency (%)
L 6
54.5%
M 5
45.5%
Lowercase Letter
ValueCountFrequency (%)
m 5
55.6%
l 4
44.4%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1114
54.1%
Hangul 925
44.9%
Latin 20
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 37
 
4.0%
김 34
 
3.7%
밥 31
 
3.4%
추 27
 
2.9%
고 25
 
2.7%
기 23
 
2.5%
배 20
 
2.2%
이 19
 
2.1%
장 19
 
2.1%
월 19
 
2.1%
Other values (188) 671
72.5%
Common
ValueCountFrequency (%)
( 270
24.2%
) 270
24.2%
0 210
18.9%
5 97
 
8.7%
6 79
 
7.1%
1 70
 
6.3%
9 29
 
2.6%
7 26
 
2.3%
~ 18
 
1.6%
, 13
 
1.2%
Other values (8) 32
 
2.9%
Latin
ValueCountFrequency (%)
L 6
30.0%
m 5
25.0%
M 5
25.0%
l 4
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1131
54.9%
Hangul 925
44.9%
CJK Compat 2
 
0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 270
23.9%
) 270
23.9%
0 210
18.6%
5 97
 
8.6%
6 79
 
7.0%
1 70
 
6.2%
9 29
 
2.6%
7 26
 
2.3%
~ 18
 
1.6%
, 13
 
1.1%
Other values (10) 49
 
4.3%
Hangul
ValueCountFrequency (%)
치 37
 
4.0%
김 34
 
3.7%
밥 31
 
3.4%
추 27
 
2.9%
고 25
 
2.7%
기 23
 
2.5%
배 20
 
2.2%
이 19
 
2.1%
장 19
 
2.1%
월 19
 
2.1%
Other values (188) 671
72.5%
CJK Compat
ValueCountFrequency (%)
㎖ 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

석식열량
Text

MISSING 

Distinct106
Distinct (%)59.9%
Missing24
Missing (%)11.9%
Memory size1.7 KiB
2024-04-18T14:03:00.577277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.6610169
Min length5

Characters and Unicode

Total characters1533
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

Unique81 ?
Unique (%)45.8%

Sample

1st row363kcal
2nd row106.28kcal
3rd row60.2kcal
4th row115.96kcal
5th row8.75kcal
ValueCountFrequency (%)
8.75kcal 18
 
10.2%
363kcal 9
 
5.1%
0kcal 8
 
4.5%
378.73kcal 7
 
4.0%
15.2kcal 5
 
2.8%
12.8kcal 4
 
2.3%
383.51kcal 4
 
2.3%
374.25kcal 4
 
2.3%
37.14kcal 3
 
1.7%
23.98kcal 3
 
1.7%
Other values (96) 112
63.3%
2024-04-18T14:03:01.024915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 177
11.5%
c 177
11.5%
a 177
11.5%
l 177
11.5%
. 147
9.6%
7 91
 
5.9%
3 89
 
5.8%
5 84
 
5.5%
1 78
 
5.1%
8 69
 
4.5%
Other values (5) 267
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 708
46.2%
Decimal Number 678
44.2%
Other Punctuation 147
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 91
13.4%
3 89
13.1%
5 84
12.4%
1 78
11.5%
8 69
10.2%
2 69
10.2%
6 63
9.3%
4 55
8.1%
0 42
6.2%
9 38
5.6%
Lowercase Letter
ValueCountFrequency (%)
k 177
25.0%
c 177
25.0%
a 177
25.0%
l 177
25.0%
Other Punctuation
ValueCountFrequency (%)
. 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 825
53.8%
Latin 708
46.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 147
17.8%
7 91
11.0%
3 89
10.8%
5 84
10.2%
1 78
9.5%
8 69
8.4%
2 69
8.4%
6 63
7.6%
4 55
 
6.7%
0 42
 
5.1%
Latin
ValueCountFrequency (%)
k 177
25.0%
c 177
25.0%
a 177
25.0%
l 177
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 177
11.5%
c 177
11.5%
a 177
11.5%
l 177
11.5%
. 147
9.6%
7 91
 
5.9%
3 89
 
5.8%
5 84
 
5.5%
1 78
 
5.1%
8 69
 
4.5%
Other values (5) 267
17.4%

열량합계
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2617.04kcal
 
8
2943.18kcal
 
7
2717.18kcal
 
7
2710.59kcal
 
7
2843.36kcal
 
7
Other values (26)
165 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2717.18kcal
2nd row2717.18kcal
3rd row2717.18kcal
4th row2717.18kcal
5th row2717.18kcal

Common Values

ValueCountFrequency (%)
2617.04kcal 8
 
4.0%
2943.18kcal 7
 
3.5%
2717.18kcal 7
 
3.5%
2710.59kcal 7
 
3.5%
2843.36kcal 7
 
3.5%
2394.95kcal 7
 
3.5%
2836.85kcal 7
 
3.5%
2700.27kcal 7
 
3.5%
2747.82kcal 7
 
3.5%
3634.04kcal 7
 
3.5%
Other values (21) 130
64.7%

Length

2024-04-18T14:03:01.156824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2617.04kcal 8
 
4.0%
2747.82kcal 7
 
3.5%
2943.18kcal 7
 
3.5%
2824.32kcal 7
 
3.5%
2716.60kcal 7
 
3.5%
2692.88kcal 7
 
3.5%
3634.04kcal 7
 
3.5%
3098.36kcal 7
 
3.5%
2700.27kcal 7
 
3.5%
2836.85kcal 7
 
3.5%
Other values (21) 130
64.7%

Correlations

2024-04-18T14:03:01.226780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량열량합계
날짜1.0000.0000.0001.000
조식0.0001.0001.0000.000
조식열량0.0001.0001.0000.000
열량합계1.0000.0000.0001.000
2024-04-18T14:03:01.318429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
열량합계날짜
열량합계1.0001.000
날짜1.0001.000
2024-04-18T14:03:01.405035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000

Missing values

2024-04-18T14:02:56.814848image/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.
2024-04-18T14:02:56.924481image/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
02021-08-01밥363kcal흑미밥374.25kcal밥363kcal2717.18kcal
12021-08-01북어채국(05)30.78kcal돼지고기감자버섯찌개(05)(06)(10)149.68kcal쇠고기육개장(01)(05)(16)106.28kcal2717.18kcal
22021-08-01쇠고기야채볶음(05)(06)(16)202.18kcal피망멸치볶음(05)(06)88.55kcal감자채볶음(05)(06)60.2kcal2717.18kcal
32021-08-01맛김0kcal닭고기매운조림(05)(06)(15)278.15kcal갑오징어야채무침(05)(06)(17)115.96kcal2717.18kcal
42021-08-01두부조림(05)(06)150.9kcal배추김치(7~9월)8.75kcal배추김치(7~9월)8.75kcal2717.18kcal
52021-08-01배추김치(7~9월)8.75kcal초콜릿(3사교)286kcal<NA><NA>2717.18kcal
62021-08-01우유(백색우유(200ML,연간))(02)122kcal<NA><NA><NA><NA>2717.18kcal
72021-08-02밥363kcal현미밥383.51kcal밥363kcal2692.88kcal
82021-08-02두부맑은국(01)(05)38.81kcal감자탕(김치)(05)(10)376.74kcal콩나물냉국(05)23.03kcal2692.88kcal
92021-08-02계란찜(01)(09)73.24kcal무생채(05)(06)29.19kcal닭갈비(05)(06)(15)279.56kcal2692.88kcal
날짜조식조식열량중식중식열량석식석식열량열량합계
1912021-08-30맛김0kcal비빔당면(05)(06)98.5kcal열무김치12.8kcal2710.59kcal
1922021-08-30오징어실채무침(01)(06)(17)78.73kcal배추김치(7~9월)8.75kcal포도,신선형(포도(8∼11월))47.61kcal2710.59kcal
1932021-08-30열무김치12.8kcal주스,자연은납작복숭아,340mL<NA>생수(500ML,후식)0kcal2710.59kcal
1942021-08-30우유(백색우유(200ML,연간))(02)122kcal<NA><NA><NA><NA>2710.59kcal
1952021-08-31밥363kcal비빔냉면(01)(03)(06)(16)1002.26kcal잡곡밥378.73kcal3135.43kcal
1962021-08-31감자양파찌개(05)(06)64.1kcal찹쌀탕수육(05)(06)(10)(12)484.77kcal호박고추장찌개(05)(06)(09)(10)147.71kcal3135.43kcal
1972021-08-31오징어볶음(05)(06)(17)146.7kcal배추김치(7~9월)8.75kcal쇠고기느타리버섯잡채(05)(06)(16)169.07kcal3135.43kcal
1982021-08-31순살햄계란찜(01)(10)94.5kcal멜론(여름)54kcal순두부양념장(05)(06)70.74kcal3135.43kcal
1992021-08-31배추김치(7~9월)8.75kcal<NA><NA>오이소박이20.35kcal3135.43kcal
2002021-08-31우유(백색우유(200ML,연간))(02)122kcal<NA><NA><NA><NA>3135.43kcal