Overview

Dataset statistics

Number of variables8
Number of observations187
Missing cells75
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory64.7 B

Variable types

DateTime1
Text6
Categorical1

Dataset

Description제2171부대 월간 표준식단입니다. 구체적으로 조식, 중식, 석식 메뉴, 메뉴별 칼로리, 일일 총 열량 정보를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069407/fileData.do

Alerts

조식 has 15 (8.0%) missing valuesMissing
조식열량 has 17 (9.1%) missing valuesMissing
중식 has 4 (2.1%) missing valuesMissing
중식열량 has 6 (3.2%) missing valuesMissing
석식 has 15 (8.0%) missing valuesMissing
석식열량 has 18 (9.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:04:53.622807
Analysis finished2023-12-12 17:04:55.206484
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct31
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2021-08-01 00:00:00
Maximum2021-08-31 00:00:00
2023-12-13T02:04:55.268172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:55.405305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

조식
Text

MISSING 

Distinct73
Distinct (%)42.4%
Missing15
Missing (%)8.0%
Memory size1.6 KiB
2023-12-13T02:04:55.739370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length13.319767
Min length1

Characters and Unicode

Total characters2291
Distinct characters157
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

Unique47 ?
Unique (%)27.3%

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 26
 
14.9%
밥 22
 
12.6%
배추김치(7~9월 17
 
9.8%
열무김치 7
 
4.0%
오이양파무침(05)(06 5
 
2.9%
계란찜(01)(09 3
 
1.7%
야채샐러드(햄버거용)(01)(12 3
 
1.7%
양배추쌈(05)(06 3
 
1.7%
해물순두부찌개(01)(05)(10)(17)(18 3
 
1.7%
시리얼 3
 
1.7%
Other values (65) 82
47.1%
2023-12-13T02:04:56.255139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 313
 
13.7%
( 313
 
13.7%
0 261
 
11.4%
1 78
 
3.4%
6 74
 
3.2%
5 71
 
3.1%
2 61
 
2.7%
유 54
 
2.4%
우 54
 
2.4%
치 36
 
1.6%
Other values (147) 976
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 958
41.8%
Decimal Number 597
26.1%
Close Punctuation 313
 
13.7%
Open Punctuation 313
 
13.7%
Uppercase Letter 53
 
2.3%
Other Punctuation 30
 
1.3%
Math Symbol 17
 
0.7%
Space Separator 5
 
0.2%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 54
 
5.6%
우 54
 
5.6%
치 36
 
3.8%
김 33
 
3.4%
고 31
 
3.2%
연 29
 
3.0%
간 28
 
2.9%
추 28
 
2.9%
밥 27
 
2.8%
백 27
 
2.8%
Other values (125) 611
63.8%
Decimal Number
ValueCountFrequency (%)
0 261
43.7%
1 78
 
13.1%
6 74
 
12.4%
5 71
 
11.9%
2 61
 
10.2%
9 24
 
4.0%
7 22
 
3.7%
8 4
 
0.7%
4 1
 
0.2%
3 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 28
93.3%
/ 1
 
3.3%
& 1
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
L 27
50.9%
M 26
49.1%
Space Separator
ValueCountFrequency (%)
4
80.0%
　 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 3
60.0%
l 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 313
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1275
55.7%
Hangul 958
41.8%
Latin 58
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 54
 
5.6%
우 54
 
5.6%
치 36
 
3.8%
김 33
 
3.4%
고 31
 
3.2%
연 29
 
3.0%
간 28
 
2.9%
추 28
 
2.9%
밥 27
 
2.8%
백 27
 
2.8%
Other values (125) 611
63.8%
Common
ValueCountFrequency (%)
) 313
24.5%
( 313
24.5%
0 261
20.5%
1 78
 
6.1%
6 74
 
5.8%
5 71
 
5.6%
2 61
 
4.8%
, 28
 
2.2%
9 24
 
1.9%
7 22
 
1.7%
Other values (8) 30
 
2.4%
Latin
ValueCountFrequency (%)
L 27
46.6%
M 26
44.8%
m 3
 
5.2%
l 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1332
58.1%
Hangul 958
41.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 313
23.5%
( 313
23.5%
0 261
19.6%
1 78
 
5.9%
6 74
 
5.6%
5 71
 
5.3%
2 61
 
4.6%
, 28
 
2.1%
L 27
 
2.0%
M 26
 
2.0%
Other values (11) 80
 
6.0%
Hangul
ValueCountFrequency (%)
유 54
 
5.6%
우 54
 
5.6%
치 36
 
3.8%
김 33
 
3.4%
고 31
 
3.2%
연 29
 
3.0%
간 28
 
2.9%
추 28
 
2.9%
밥 27
 
2.8%
백 27
 
2.8%
Other values (125) 611
63.8%
None
ValueCountFrequency (%)
　 1
100.0%

조식열량
Text

MISSING 

Distinct71
Distinct (%)41.8%
Missing17
Missing (%)9.1%
Memory size1.6 KiB
2023-12-13T02:04:56.470437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.1882353
Min length5

Characters and Unicode

Total characters1392
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 (%)26.5%

Sample

1st row536.68kcal
2nd row88.09kcal
3rd row28.38kcal
4th row8kcal
5th row122kcal
ValueCountFrequency (%)
122kcal 26
 
15.3%
363kcal 22
 
12.9%
8kcal 17
 
10.0%
12.8kcal 7
 
4.1%
38.19kcal 5
 
2.9%
87.76kcal 3
 
1.8%
152.8kcal 3
 
1.8%
56.36kcal 3
 
1.8%
80.5kcal 3
 
1.8%
118.13kcal 3
 
1.8%
Other values (61) 78
45.9%
2023-12-13T02:04:57.055573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 170
12.2%
c 170
12.2%
a 170
12.2%
l 170
12.2%
. 105
7.5%
1 104
7.5%
2 98
7.0%
3 97
7.0%
8 77
5.5%
6 68
 
4.9%
Other values (5) 163
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 680
48.9%
Decimal Number 607
43.6%
Other Punctuation 105
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 104
17.1%
2 98
16.1%
3 97
16.0%
8 77
12.7%
6 68
11.2%
5 46
7.6%
0 36
 
5.9%
9 34
 
5.6%
7 24
 
4.0%
4 23
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
k 170
25.0%
c 170
25.0%
a 170
25.0%
l 170
25.0%
Other Punctuation
ValueCountFrequency (%)
. 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 712
51.1%
Latin 680
48.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 105
14.7%
1 104
14.6%
2 98
13.8%
3 97
13.6%
8 77
10.8%
6 68
9.6%
5 46
6.5%
0 36
 
5.1%
9 34
 
4.8%
7 24
 
3.4%
Latin
ValueCountFrequency (%)
k 170
25.0%
c 170
25.0%
a 170
25.0%
l 170
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 170
12.2%
c 170
12.2%
a 170
12.2%
l 170
12.2%
. 105
7.5%
1 104
7.5%
2 98
7.0%
3 97
7.0%
8 77
5.5%
6 68
 
4.9%
Other values (5) 163
11.7%

중식
Text

MISSING 

Distinct102
Distinct (%)55.7%
Missing4
Missing (%)2.1%
Memory size1.6 KiB
2023-12-13T02:04:57.281696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length10.95082
Min length1

Characters and Unicode

Total characters2004
Distinct characters228
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

Unique71 ?
Unique (%)38.8%

Sample

1st row밥
2nd row버섯매운탕(05)(06)(16)
3rd row돈육야채볶음(05)(06)(10)
4th row계란찜(01)(09)
5th row배추김치(7~9월)
ValueCountFrequency (%)
밥 15
 
7.7%
배추김치(7~9월 15
 
7.7%
조미김 7
 
3.6%
깍두기(완제품)(09 6
 
3.1%
대추방울토마토(생산기)(12 5
 
2.6%
모듬쌈(05)(06 5
 
2.6%
열무김치 5
 
2.6%
잡곡밥 4
 
2.1%
포도,신선형(포도(8∼11월 4
 
2.1%
짬뽕찌개(05)(10)(17 4
 
2.1%
Other values (99) 124
63.9%
2023-12-13T02:04:57.615468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 266
 
13.3%
) 266
 
13.3%
0 184
 
9.2%
1 93
 
4.6%
5 71
 
3.5%
6 61
 
3.0%
김 39
 
1.9%
치 33
 
1.6%
밥 28
 
1.4%
9 26
 
1.3%
Other values (218) 937
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 933
46.6%
Decimal Number 490
24.5%
Open Punctuation 266
 
13.3%
Close Punctuation 266
 
13.3%
Math Symbol 19
 
0.9%
Other Punctuation 12
 
0.6%
Space Separator 11
 
0.5%
Uppercase Letter 4
 
0.2%
Lowercase Letter 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 39
 
4.2%
치 33
 
3.5%
밥 28
 
3.0%
추 25
 
2.7%
기 24
 
2.6%
월 19
 
2.0%
고 18
 
1.9%
무 17
 
1.8%
조 16
 
1.7%
두 16
 
1.7%
Other values (195) 698
74.8%
Decimal Number
ValueCountFrequency (%)
0 184
37.6%
1 93
19.0%
5 71
 
14.5%
6 61
 
12.4%
9 26
 
5.3%
2 23
 
4.7%
7 22
 
4.5%
8 7
 
1.4%
3 2
 
0.4%
4 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
/ 1
 
8.3%
& 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
~ 15
78.9%
∼ 4
 
21.1%
Uppercase Letter
ValueCountFrequency (%)
L 2
50.0%
M 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1065
53.1%
Hangul 933
46.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 39
 
4.2%
치 33
 
3.5%
밥 28
 
3.0%
추 25
 
2.7%
기 24
 
2.6%
월 19
 
2.0%
고 18
 
1.9%
무 17
 
1.8%
조 16
 
1.7%
두 16
 
1.7%
Other values (195) 698
74.8%
Common
ValueCountFrequency (%)
( 266
25.0%
) 266
25.0%
0 184
17.3%
1 93
 
8.7%
5 71
 
6.7%
6 61
 
5.7%
9 26
 
2.4%
2 23
 
2.2%
7 22
 
2.1%
~ 15
 
1.4%
Other values (9) 38
 
3.6%
Latin
ValueCountFrequency (%)
L 2
33.3%
M 2
33.3%
m 1
16.7%
l 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1066
53.2%
Hangul 933
46.6%
Math Operators 4
 
0.2%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 266
25.0%
) 266
25.0%
0 184
17.3%
1 93
 
8.7%
5 71
 
6.7%
6 61
 
5.7%
9 26
 
2.4%
2 23
 
2.2%
7 22
 
2.1%
~ 15
 
1.4%
Other values (11) 39
 
3.7%
Hangul
ValueCountFrequency (%)
김 39
 
4.2%
치 33
 
3.5%
밥 28
 
3.0%
추 25
 
2.7%
기 24
 
2.6%
월 19
 
2.0%
고 18
 
1.9%
무 17
 
1.8%
조 16
 
1.7%
두 16
 
1.7%
Other values (195) 698
74.8%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

중식열량
Text

MISSING 

Distinct98
Distinct (%)54.1%
Missing6
Missing (%)3.2%
Memory size1.6 KiB
2023-12-13T02:04:57.860969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.2872928
Min length5

Characters and Unicode

Total characters1500
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

Unique65 ?
Unique (%)35.9%

Sample

1st row363kcal
2nd row63.27kcal
3rd row343.81kcal
4th row87.76kcal
5th row8kcal
ValueCountFrequency (%)
363kcal 15
 
8.3%
8kcal 15
 
8.3%
0kcal 7
 
3.9%
15.2kcal 6
 
3.3%
11.9kcal 5
 
2.8%
40.7kcal 5
 
2.8%
12.8kcal 5
 
2.8%
71.64kcal 4
 
2.2%
31.74kcal 4
 
2.2%
373.39kcal 4
 
2.2%
Other values (88) 111
61.3%
2023-12-13T02:04:58.207593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 181
12.1%
c 181
12.1%
a 181
12.1%
l 181
12.1%
. 129
8.6%
3 99
 
6.6%
1 89
 
5.9%
8 74
 
4.9%
2 68
 
4.5%
6 59
 
3.9%
Other values (5) 258
17.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 724
48.3%
Decimal Number 647
43.1%
Other Punctuation 129
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 99
15.3%
1 89
13.8%
8 74
11.4%
2 68
10.5%
6 59
9.1%
7 59
9.1%
5 57
8.8%
4 52
8.0%
0 49
7.6%
9 41
6.3%
Lowercase Letter
ValueCountFrequency (%)
k 181
25.0%
c 181
25.0%
a 181
25.0%
l 181
25.0%
Other Punctuation
ValueCountFrequency (%)
. 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 776
51.7%
Latin 724
48.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 129
16.6%
3 99
12.8%
1 89
11.5%
8 74
9.5%
2 68
8.8%
6 59
7.6%
7 59
7.6%
5 57
7.3%
4 52
6.7%
0 49
 
6.3%
Latin
ValueCountFrequency (%)
k 181
25.0%
c 181
25.0%
a 181
25.0%
l 181
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 181
12.1%
c 181
12.1%
a 181
12.1%
l 181
12.1%
. 129
8.6%
3 99
 
6.6%
1 89
 
5.9%
8 74
 
4.9%
2 68
 
4.5%
6 59
 
3.9%
Other values (5) 258
17.2%

석식
Text

MISSING 

Distinct97
Distinct (%)56.4%
Missing15
Missing (%)8.0%
Memory size1.6 KiB
2023-12-13T02:04:58.590153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length11.383721
Min length1

Characters and Unicode

Total characters1958
Distinct characters205
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

Unique68 ?
Unique (%)39.5%

Sample

1st row밥
2nd row닭곰탕(05)(15)
3rd row마파두부(05)(06)
4th row조미김
5th row감자매운조림(05)(06)
ValueCountFrequency (%)
배추김치(7~9월 17
 
9.6%
깍두기(완제품)(09 9
 
5.1%
밥 7
 
3.9%
잡곡밥 6
 
3.4%
우유(백색우유(200ml,연간))(02 5
 
2.8%
오이풋고추된장무침(05 4
 
2.2%
계란후라이(01 4
 
2.2%
조미김 4
 
2.2%
짜먹는요구르트(02 4
 
2.2%
현미밥 4
 
2.2%
Other values (93) 114
64.0%
2023-12-13T02:04:59.075212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 260
 
13.3%
) 260
 
13.3%
0 192
 
9.8%
1 74
 
3.8%
5 73
 
3.7%
6 59
 
3.0%
추 35
 
1.8%
9 33
 
1.7%
김 31
 
1.6%
2 30
 
1.5%
Other values (195) 911
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 887
45.3%
Decimal Number 495
25.3%
Open Punctuation 260
 
13.3%
Close Punctuation 260
 
13.3%
Math Symbol 17
 
0.9%
Other Punctuation 12
 
0.6%
Uppercase Letter 10
 
0.5%
Space Separator 7
 
0.4%
Lowercase Letter 7
 
0.4%
Other Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 35
 
3.9%
김 31
 
3.5%
치 29
 
3.3%
밥 27
 
3.0%
고 24
 
2.7%
기 23
 
2.6%
배 20
 
2.3%
월 17
 
1.9%
두 16
 
1.8%
우 15
 
1.7%
Other values (174) 650
73.3%
Decimal Number
ValueCountFrequency (%)
0 192
38.8%
1 74
 
14.9%
5 73
 
14.7%
6 59
 
11.9%
9 33
 
6.7%
2 30
 
6.1%
7 25
 
5.1%
8 4
 
0.8%
4 3
 
0.6%
3 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
/ 4
33.3%
Uppercase Letter
ValueCountFrequency (%)
L 5
50.0%
M 5
50.0%
Lowercase Letter
ValueCountFrequency (%)
l 4
57.1%
m 3
42.9%
Open Punctuation
ValueCountFrequency (%)
( 260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 260
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1054
53.8%
Hangul 887
45.3%
Latin 17
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 35
 
3.9%
김 31
 
3.5%
치 29
 
3.3%
밥 27
 
3.0%
고 24
 
2.7%
기 23
 
2.6%
배 20
 
2.3%
월 17
 
1.9%
두 16
 
1.8%
우 15
 
1.7%
Other values (174) 650
73.3%
Common
ValueCountFrequency (%)
( 260
24.7%
) 260
24.7%
0 192
18.2%
1 74
 
7.0%
5 73
 
6.9%
6 59
 
5.6%
9 33
 
3.1%
2 30
 
2.8%
7 25
 
2.4%
~ 17
 
1.6%
Other values (7) 31
 
2.9%
Latin
ValueCountFrequency (%)
L 5
29.4%
M 5
29.4%
l 4
23.5%
m 3
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1068
54.5%
Hangul 887
45.3%
CJK Compat 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 260
24.3%
) 260
24.3%
0 192
18.0%
1 74
 
6.9%
5 73
 
6.8%
6 59
 
5.5%
9 33
 
3.1%
2 30
 
2.8%
7 25
 
2.3%
~ 17
 
1.6%
Other values (10) 45
 
4.2%
Hangul
ValueCountFrequency (%)
추 35
 
3.9%
김 31
 
3.5%
치 29
 
3.3%
밥 27
 
3.0%
고 24
 
2.7%
기 23
 
2.6%
배 20
 
2.3%
월 17
 
1.9%
두 16
 
1.8%
우 15
 
1.7%
Other values (174) 650
73.3%
CJK Compat
ValueCountFrequency (%)
㎖ 3
100.0%

석식열량
Text

MISSING 

Distinct94
Distinct (%)55.6%
Missing18
Missing (%)9.6%
Memory size1.6 KiB
2023-12-13T02:04:59.513440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.3964497
Min length5

Characters and Unicode

Total characters1419
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

Unique65 ?
Unique (%)38.5%

Sample

1st row363kcal
2nd row141.01kcal
3rd row166.23kcal
4th row0kcal
5th row71.45kcal
ValueCountFrequency (%)
8kcal 17
 
10.1%
15.2kcal 9
 
5.3%
363kcal 7
 
4.1%
373.39kcal 6
 
3.6%
122kcal 5
 
3.0%
40.82kcal 4
 
2.4%
0kcal 4
 
2.4%
98.01kcal 4
 
2.4%
381.15kcal 4
 
2.4%
76.8kcal 4
 
2.4%
Other values (84) 105
62.1%
2023-12-13T02:05:00.011182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 169
11.9%
c 169
11.9%
a 169
11.9%
l 169
11.9%
. 126
8.9%
1 96
6.8%
8 78
 
5.5%
3 75
 
5.3%
2 71
 
5.0%
4 63
 
4.4%
Other values (5) 234
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 676
47.6%
Decimal Number 617
43.5%
Other Punctuation 126
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 96
15.6%
8 78
12.6%
3 75
12.2%
2 71
11.5%
4 63
10.2%
5 59
9.6%
6 59
9.6%
0 43
7.0%
9 39
6.3%
7 34
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
k 169
25.0%
c 169
25.0%
a 169
25.0%
l 169
25.0%
Other Punctuation
ValueCountFrequency (%)
. 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 743
52.4%
Latin 676
47.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 126
17.0%
1 96
12.9%
8 78
10.5%
3 75
10.1%
2 71
9.6%
4 63
8.5%
5 59
7.9%
6 59
7.9%
0 43
 
5.8%
9 39
 
5.2%
Latin
ValueCountFrequency (%)
k 169
25.0%
c 169
25.0%
a 169
25.0%
l 169
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1419
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 169
11.9%
c 169
11.9%
a 169
11.9%
l 169
11.9%
. 126
8.9%
1 96
6.8%
8 78
 
5.5%
3 75
 
5.3%
2 71
 
5.0%
4 63
 
4.4%
Other values (5) 234
16.5%

열량합계
Categorical

Distinct31
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2483.48kcal
 
7
3180.32kcal
 
7
2631.66kcal
 
7
2575.39kcal
 
7
3607.47kcal
 
7
Other values (26)
152 

Length

Max length11
Median length11
Mean length10.994652
Min length10

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row2483.48kcal
2nd row2483.48kcal
3rd row2483.48kcal
4th row2483.48kcal
5th row2483.48kcal

Common Values

ValueCountFrequency (%)
2483.48kcal 7
 
3.7%
3180.32kcal 7
 
3.7%
2631.66kcal 7
 
3.7%
2575.39kcal 7
 
3.7%
3607.47kcal 7
 
3.7%
2528.48kcal 7
 
3.7%
2688.98kcal 7
 
3.7%
2809.43kcal 7
 
3.7%
2851.32kcal 6
 
3.2%
3226.37kcal 6
 
3.2%
Other values (21) 119
63.6%

Length

2023-12-13T02:05:00.213574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2483.48kcal 7
 
3.7%
2631.66kcal 7
 
3.7%
2575.39kcal 7
 
3.7%
3607.47kcal 7
 
3.7%
2528.48kcal 7
 
3.7%
2688.98kcal 7
 
3.7%
2809.43kcal 7
 
3.7%
3180.32kcal 7
 
3.7%
3112.16kcal 6
 
3.2%
3002.88kcal 6
 
3.2%
Other values (21) 119
63.6%

Correlations

2023-12-13T02:05:00.335471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량중식열량석식석식열량열량합계
날짜1.0000.0000.0000.0000.0000.0001.000
조식0.0001.0001.0000.9900.9740.9760.000
조식열량0.0001.0001.0000.9910.9760.9780.000
중식열량0.0000.9900.9911.0000.9740.9860.000
석식0.0000.9740.9760.9741.0001.0000.000
석식열량0.0000.9760.9780.9861.0001.0000.000
열량합계1.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-13T02:04:54.876444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:04:55.013263image/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.
2023-12-13T02:04:55.133765image/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)536.68kcal밥363kcal밥363kcal2483.48kcal
12021-08-01생선묵찌개(05)(06)88.09kcal버섯매운탕(05)(06)(16)63.27kcal닭곰탕(05)(15)141.01kcal2483.48kcal
22021-08-01부추겉절이(05)(06)28.38kcal돈육야채볶음(05)(06)(10)343.81kcal마파두부(05)(06)166.23kcal2483.48kcal
32021-08-01배추김치(7~9월)8kcal계란찜(01)(09)87.76kcal조미김0kcal2483.48kcal
42021-08-01우유(백색우유(200ML,연간))(02)122kcal배추김치(7~9월)8kcal감자매운조림(05)(06)71.45kcal2483.48kcal
52021-08-01<NA><NA>자두(후무사)26kcal배추김치(7~9월)8kcal2483.48kcal
62021-08-01<NA><NA><NA><NA>이온음료58.8kcal2483.48kcal
72021-08-02밥363kcal잡곡밥373.39kcal밥363kcal2929.52kcal
82021-08-02쇠고기미역국(05)(16)23.24kcal콩나물김치국(05)24.27kcal두부고추장찌개(05)(06)(16)85.21kcal2929.52kcal
92021-08-02돈육미나리볶음(05)(06)(10)365.79kcal오리고추장주물럭(05)(06)285.81kcal돈가스(06)(10)645.02kcal2929.52kcal
날짜조식조식열량중식중식열량석식석식열량열량합계
1772021-08-30쇠고기불고기(05)(06)(16)280.61kcal치킨텐더(01)(06)(12)(15)677.44kcal오징어실채볶음(01)(05)(06)(17)112.83kcal3153.35kcal
1782021-08-30양배추쌈(05)(06)56.36kcal멕시칸샐러드(01)(10)111.99kcal계란찜(01)(09)87.76kcal3153.35kcal
1792021-08-30배추김치(7~9월)8kcal깍두기(완제품)(09)15.2kcal초코우유(02)126kcal3153.35kcal
1802021-08-30우유(백색우유(200ML,연간))(02)122kcal유산균 발효 음료(02)56kcal배추김치(7~9월)8kcal3153.35kcal
1812021-08-31밥363kcal찰보리밥378.8kcal고추참치김치덮밥598.15kcal2727.97kcal
1822021-08-31햄김치찌개(10)134.57kcal짬뽕찌개(05)(10)(17)71.64kcal쇠고기미역국(05)(16)23.24kcal2727.97kcal
1832021-08-31닭순살감자조림(05)(06)(15)109.4kcal감자풋고추볶음(05)(06)75.57kcal조미김0kcal2727.97kcal
1842021-08-31오이양파무침(05)(06)38.19kcal찹쌀탕수육(05)(06)(10)(12)590.7kcal계란후라이(01)98.01kcal2727.97kcal
1852021-08-31열무김치12.8kcal배추김치(7~9월)8kcal깍두기(완제품)(09)15.2kcal2727.97kcal
1862021-08-31우유(백색우유(200ML,연간))(02)122kcal대추방울토마토(생산기)(12)11.9kcal짜먹는요구르트(02)76.8kcal2727.97kcal