Overview

Dataset statistics

Number of variables8
Number of observations205
Missing cells236
Missing cells (%)14.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory64.6 B

Variable types

DateTime1
Text6
Categorical1

Dataset

Description제1691부대의 식단 정보입니다. 일자별 조식, 중식, 석식 메뉴, 메뉴별 칼로리, 일일 총 열량 데이터를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069404/fileData.do

Alerts

조식 has 37 (18.0%) missing valuesMissing
조식열량 has 37 (18.0%) missing valuesMissing
중식 has 59 (28.8%) missing valuesMissing
중식열량 has 60 (29.3%) missing valuesMissing
석식 has 20 (9.8%) missing valuesMissing
석식열량 has 23 (11.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:39:13.671449
Analysis finished2023-12-12 03:39:15.190594
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct31
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2021-08-01 00:00:00
Maximum2021-08-31 00:00:00
2023-12-12T12:39:15.283031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:15.471439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

조식
Text

MISSING 

Distinct69
Distinct (%)41.1%
Missing37
Missing (%)18.0%
Memory size1.7 KiB
2023-12-12T12:39:16.231777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length12.964286
Min length2

Characters and Unicode

Total characters2178
Distinct characters140
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

Unique36 ?
Unique (%)21.4%

Sample

1st row밥1
2nd row쇠고기미역국(05)(16)
3rd row돼지고기감자조림(05)(06)(10)
4th row콩나물무침(05)
5th row배추김치(7~9월)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 24
 
14.2%
밥1 21
 
12.4%
배추김치(7~9월 15
 
8.9%
열무김치 6
 
3.6%
깍두기(완제품)(09 4
 
2.4%
애호박나물(05)(06)(16 3
 
1.8%
돼지고기김치볶음(10 3
 
1.8%
콩나물무침(05 3
 
1.8%
돼지고기감자조림(05)(06)(10 3
 
1.8%
비엔나소시지찌개(05)(06)(10 3
 
1.8%
Other values (60) 84
49.7%
2023-12-12T12:39:16.756625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 302
 
13.9%
( 302
 
13.9%
0 238
 
10.9%
1 115
 
5.3%
2 67
 
3.1%
6 65
 
3.0%
5 62
 
2.8%
유 48
 
2.2%
우 48
 
2.2%
치 36
 
1.7%
Other values (130) 895
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 897
41.2%
Decimal Number 589
27.0%
Close Punctuation 302
 
13.9%
Open Punctuation 302
 
13.9%
Uppercase Letter 48
 
2.2%
Other Punctuation 24
 
1.1%
Math Symbol 15
 
0.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 48
 
5.4%
우 48
 
5.4%
치 36
 
4.0%
김 33
 
3.7%
기 28
 
3.1%
고 26
 
2.9%
간 25
 
2.8%
밥 24
 
2.7%
백 24
 
2.7%
색 24
 
2.7%
Other values (116) 581
64.8%
Decimal Number
ValueCountFrequency (%)
0 238
40.4%
1 115
19.5%
2 67
 
11.4%
6 65
 
11.0%
5 62
 
10.5%
7 22
 
3.7%
9 20
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
L 24
50.0%
M 24
50.0%
Close Punctuation
ValueCountFrequency (%)
) 302
100.0%
Open Punctuation
ValueCountFrequency (%)
( 302
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1233
56.6%
Hangul 897
41.2%
Latin 48
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 48
 
5.4%
우 48
 
5.4%
치 36
 
4.0%
김 33
 
3.7%
기 28
 
3.1%
고 26
 
2.9%
간 25
 
2.8%
밥 24
 
2.7%
백 24
 
2.7%
색 24
 
2.7%
Other values (116) 581
64.8%
Common
ValueCountFrequency (%)
) 302
24.5%
( 302
24.5%
0 238
19.3%
1 115
 
9.3%
2 67
 
5.4%
6 65
 
5.3%
5 62
 
5.0%
, 24
 
1.9%
7 22
 
1.8%
9 20
 
1.6%
Other values (2) 16
 
1.3%
Latin
ValueCountFrequency (%)
L 24
50.0%
M 24
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1281
58.8%
Hangul 897
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 302
23.6%
( 302
23.6%
0 238
18.6%
1 115
 
9.0%
2 67
 
5.2%
6 65
 
5.1%
5 62
 
4.8%
, 24
 
1.9%
L 24
 
1.9%
M 24
 
1.9%
Other values (4) 58
 
4.5%
Hangul
ValueCountFrequency (%)
유 48
 
5.4%
우 48
 
5.4%
치 36
 
4.0%
김 33
 
3.7%
기 28
 
3.1%
고 26
 
2.9%
간 25
 
2.8%
밥 24
 
2.7%
백 24
 
2.7%
색 24
 
2.7%
Other values (116) 581
64.8%

조식열량
Text

MISSING 

Distinct69
Distinct (%)41.1%
Missing37
Missing (%)18.0%
Memory size1.7 KiB
2023-12-12T12:39:17.071327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.4404762
Min length5

Characters and Unicode

Total characters1418
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

Unique36 ?
Unique (%)21.4%

Sample

1st row363kcal
2nd row26.65kcal
3rd row193.83kcal
4th row35.86kcal
5th row8.25kcal
ValueCountFrequency (%)
122kcal 22
 
13.1%
363kcal 21
 
12.5%
8.25kcal 15
 
8.9%
11.84kcal 6
 
3.6%
15.2kcal 4
 
2.4%
0kcal 4
 
2.4%
54.86kcal 3
 
1.8%
189.9kcal 3
 
1.8%
35.86kcal 3
 
1.8%
198.06kcal 3
 
1.8%
Other values (59) 84
50.0%
2023-12-12T12:39:17.568155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 168
11.8%
c 168
11.8%
a 168
11.8%
l 168
11.8%
. 115
8.1%
1 105
7.4%
2 100
7.1%
3 79
 
5.6%
8 66
 
4.7%
6 65
 
4.6%
Other values (5) 216
15.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 672
47.4%
Decimal Number 631
44.5%
Other Punctuation 115
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 105
16.6%
2 100
15.8%
3 79
12.5%
8 66
10.5%
6 65
10.3%
5 62
9.8%
4 52
8.2%
0 37
 
5.9%
9 35
 
5.5%
7 30
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
k 168
25.0%
c 168
25.0%
a 168
25.0%
l 168
25.0%
Other Punctuation
ValueCountFrequency (%)
. 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 746
52.6%
Latin 672
47.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 115
15.4%
1 105
14.1%
2 100
13.4%
3 79
10.6%
8 66
8.8%
6 65
8.7%
5 62
8.3%
4 52
7.0%
0 37
 
5.0%
9 35
 
4.7%
Latin
ValueCountFrequency (%)
k 168
25.0%
c 168
25.0%
a 168
25.0%
l 168
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 168
11.8%
c 168
11.8%
a 168
11.8%
l 168
11.8%
. 115
8.1%
1 105
7.4%
2 100
7.1%
3 79
 
5.6%
8 66
 
4.7%
6 65
 
4.6%
Other values (5) 216
15.2%

중식
Text

MISSING 

Distinct95
Distinct (%)65.1%
Missing59
Missing (%)28.8%
Memory size1.7 KiB
2023-12-12T12:39:17.892243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length11.835616
Min length2

Characters and Unicode

Total characters1728
Distinct characters190
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

Unique76 ?
Unique (%)52.1%

Sample

1st row찹쌀밥
2nd row돼지불고기(05)(06)(10)
3rd row두부케첩조림(05)(06)(12)
4th row풋고추된장무침(05)
5th row백김치
ValueCountFrequency (%)
배추김치(7~9월 16
 
10.5%
영양밥 7
 
4.6%
우유(백색우유(200ml,연간))(02 7
 
4.6%
깍두기(완제품)(09 5
 
3.3%
밥1 4
 
2.6%
현미밥 3
 
2.0%
양배추쌈(05)(06 3
 
2.0%
찹쌀밥 3
 
2.0%
아이스크림 3
 
2.0%
떠먹는형 2
 
1.3%
Other values (90) 100
65.4%
2023-12-12T12:39:18.393535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 237
 
13.7%
) 237
 
13.7%
0 188
 
10.9%
5 70
 
4.1%
1 66
 
3.8%
6 60
 
3.5%
김 28
 
1.6%
2 28
 
1.6%
치 26
 
1.5%
추 26
 
1.5%
Other values (180) 762
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 742
42.9%
Decimal Number 460
26.6%
Open Punctuation 237
 
13.7%
Close Punctuation 237
 
13.7%
Math Symbol 16
 
0.9%
Uppercase Letter 14
 
0.8%
Other Punctuation 11
 
0.6%
Space Separator 7
 
0.4%
Other Symbol 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 28
 
3.8%
치 26
 
3.5%
추 26
 
3.5%
밥 24
 
3.2%
고 22
 
3.0%
기 22
 
3.0%
배 19
 
2.6%
우 17
 
2.3%
월 16
 
2.2%
유 15
 
2.0%
Other values (160) 527
71.0%
Decimal Number
ValueCountFrequency (%)
0 188
40.9%
5 70
 
15.2%
1 66
 
14.3%
6 60
 
13.0%
2 28
 
6.1%
9 25
 
5.4%
7 20
 
4.3%
3 2
 
0.4%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
/ 2
 
18.2%
Uppercase Letter
ValueCountFrequency (%)
M 7
50.0%
L 7
50.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
50.0%
m 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 970
56.1%
Hangul 742
42.9%
Latin 16
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 28
 
3.8%
치 26
 
3.5%
추 26
 
3.5%
밥 24
 
3.2%
고 22
 
3.0%
기 22
 
3.0%
배 19
 
2.6%
우 17
 
2.3%
월 16
 
2.2%
유 15
 
2.0%
Other values (160) 527
71.0%
Common
ValueCountFrequency (%)
( 237
24.4%
) 237
24.4%
0 188
19.4%
5 70
 
7.2%
1 66
 
6.8%
6 60
 
6.2%
2 28
 
2.9%
9 25
 
2.6%
7 20
 
2.1%
~ 16
 
1.6%
Other values (6) 23
 
2.4%
Latin
ValueCountFrequency (%)
M 7
43.8%
L 7
43.8%
l 1
 
6.2%
m 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 984
56.9%
Hangul 742
42.9%
CJK Compat 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 237
24.1%
) 237
24.1%
0 188
19.1%
5 70
 
7.1%
1 66
 
6.7%
6 60
 
6.1%
2 28
 
2.8%
9 25
 
2.5%
7 20
 
2.0%
~ 16
 
1.6%
Other values (9) 37
 
3.8%
Hangul
ValueCountFrequency (%)
김 28
 
3.8%
치 26
 
3.5%
추 26
 
3.5%
밥 24
 
3.2%
고 22
 
3.0%
기 22
 
3.0%
배 19
 
2.6%
우 17
 
2.3%
월 16
 
2.2%
유 15
 
2.0%
Other values (160) 527
71.0%
CJK Compat
ValueCountFrequency (%)
㎖ 2
100.0%

중식열량
Text

MISSING 

Distinct92
Distinct (%)63.4%
Missing60
Missing (%)29.3%
Memory size1.7 KiB
2023-12-12T12:39:18.697268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.7931034
Min length5

Characters and Unicode

Total characters1275
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

Unique71 ?
Unique (%)49.0%

Sample

1st row380.95kcal
2nd row381.07kcal
3rd row98.66kcal
4th row43.4kcal
5th row15.12kcal
ValueCountFrequency (%)
8.25kcal 16
 
11.0%
382.45kcal 7
 
4.8%
122kcal 7
 
4.8%
15.2kcal 5
 
3.4%
363kcal 4
 
2.8%
374.21kcal 3
 
2.1%
54.2kcal 3
 
2.1%
380.95kcal 3
 
2.1%
180kcal 2
 
1.4%
29.94kcal 2
 
1.4%
Other values (82) 93
64.1%
2023-12-12T12:39:19.120941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 145
11.4%
c 145
11.4%
a 145
11.4%
l 145
11.4%
. 120
9.4%
2 97
7.6%
1 78
 
6.1%
5 70
 
5.5%
8 65
 
5.1%
3 63
 
4.9%
Other values (5) 202
15.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 580
45.5%
Decimal Number 575
45.1%
Other Punctuation 120
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 97
16.9%
1 78
13.6%
5 70
12.2%
8 65
11.3%
3 63
11.0%
7 46
8.0%
4 44
7.7%
0 40
7.0%
9 38
 
6.6%
6 34
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
k 145
25.0%
c 145
25.0%
a 145
25.0%
l 145
25.0%
Other Punctuation
ValueCountFrequency (%)
. 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 695
54.5%
Latin 580
45.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 120
17.3%
2 97
14.0%
1 78
11.2%
5 70
10.1%
8 65
9.4%
3 63
9.1%
7 46
 
6.6%
4 44
 
6.3%
0 40
 
5.8%
9 38
 
5.5%
Latin
ValueCountFrequency (%)
k 145
25.0%
c 145
25.0%
a 145
25.0%
l 145
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 145
11.4%
c 145
11.4%
a 145
11.4%
l 145
11.4%
. 120
9.4%
2 97
7.6%
1 78
 
6.1%
5 70
 
5.5%
8 65
 
5.1%
3 63
 
4.9%
Other values (5) 202
15.8%

석식
Text

MISSING 

Distinct113
Distinct (%)61.1%
Missing20
Missing (%)9.8%
Memory size1.7 KiB
2023-12-12T12:39:19.431052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length11.281081
Min length2

Characters and Unicode

Total characters2087
Distinct characters208
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

Unique87 ?
Unique (%)47.0%

Sample

1st row영양밥
2nd row닭곰탕(15)
3rd row마파두부(05)(06)(10)
4th row사각어묵잡채(05)(06)
5th row맛김
ValueCountFrequency (%)
배추김치(7~9월 16
 
7.9%
밥1 9
 
4.4%
영양밥 8
 
3.9%
맛김 7
 
3.4%
깍두기(완제품)(09 7
 
3.4%
생수(500ml,후식 5
 
2.5%
열무김치 5
 
2.5%
주스(340㎖/캔 3
 
1.5%
복숭아 3
 
1.5%
멜론(여름 3
 
1.5%
Other values (117) 137
67.5%
2023-12-12T12:39:19.973133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 289
 
13.8%
) 289
 
13.8%
0 216
 
10.3%
1 98
 
4.7%
5 92
 
4.4%
6 80
 
3.8%
김 44
 
2.1%
치 36
 
1.7%
밥 31
 
1.5%
추 27
 
1.3%
Other values (198) 885
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 876
42.0%
Decimal Number 568
27.2%
Open Punctuation 289
 
13.8%
Close Punctuation 289
 
13.8%
Space Separator 18
 
0.9%
Math Symbol 16
 
0.8%
Other Punctuation 12
 
0.6%
Uppercase Letter 10
 
0.5%
Other Symbol 7
 
0.3%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 44
 
5.0%
치 36
 
4.1%
밥 31
 
3.5%
추 27
 
3.1%
기 27
 
3.1%
고 25
 
2.9%
배 19
 
2.2%
월 16
 
1.8%
양 15
 
1.7%
두 14
 
1.6%
Other values (177) 622
71.0%
Decimal Number
ValueCountFrequency (%)
0 216
38.0%
1 98
17.3%
5 92
16.2%
6 80
 
14.1%
9 26
 
4.6%
7 24
 
4.2%
2 19
 
3.3%
3 5
 
0.9%
4 5
 
0.9%
8 3
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 7
58.3%
, 5
41.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
50.0%
L 5
50.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
50.0%
m 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1199
57.5%
Hangul 876
42.0%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 44
 
5.0%
치 36
 
4.1%
밥 31
 
3.5%
추 27
 
3.1%
기 27
 
3.1%
고 25
 
2.9%
배 19
 
2.2%
월 16
 
1.8%
양 15
 
1.7%
두 14
 
1.6%
Other values (177) 622
71.0%
Common
ValueCountFrequency (%)
( 289
24.1%
) 289
24.1%
0 216
18.0%
1 98
 
8.2%
5 92
 
7.7%
6 80
 
6.7%
9 26
 
2.2%
7 24
 
2.0%
2 19
 
1.6%
18
 
1.5%
Other values (7) 48
 
4.0%
Latin
ValueCountFrequency (%)
M 5
41.7%
L 5
41.7%
l 1
 
8.3%
m 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1204
57.7%
Hangul 876
42.0%
CJK Compat 7
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 289
24.0%
) 289
24.0%
0 216
17.9%
1 98
 
8.1%
5 92
 
7.6%
6 80
 
6.6%
9 26
 
2.2%
7 24
 
2.0%
2 19
 
1.6%
18
 
1.5%
Other values (10) 53
 
4.4%
Hangul
ValueCountFrequency (%)
김 44
 
5.0%
치 36
 
4.1%
밥 31
 
3.5%
추 27
 
3.1%
기 27
 
3.1%
고 25
 
2.9%
배 19
 
2.2%
월 16
 
1.8%
양 15
 
1.7%
두 14
 
1.6%
Other values (177) 622
71.0%
CJK Compat
ValueCountFrequency (%)
㎖ 7
100.0%

석식열량
Text

MISSING 

Distinct106
Distinct (%)58.2%
Missing23
Missing (%)11.2%
Memory size1.7 KiB
2023-12-12T12:39:20.376679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.4945055
Min length5

Characters and Unicode

Total characters1546
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

Unique79 ?
Unique (%)43.4%

Sample

1st row382.45kcal
2nd row98.43kcal
3rd row225.71kcal
4th row176.07kcal
5th row0kcal
ValueCountFrequency (%)
8.25kcal 16
 
8.8%
0kcal 12
 
6.6%
363kcal 9
 
4.9%
382.45kcal 8
 
4.4%
15.2kcal 7
 
3.8%
11.84kcal 5
 
2.7%
26kcal 3
 
1.6%
89.28kcal 3
 
1.6%
72kcal 3
 
1.6%
81kcal 3
 
1.6%
Other values (96) 113
62.1%
2023-12-12T12:39:21.030153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 182
11.8%
c 182
11.8%
a 182
11.8%
l 182
11.8%
. 138
8.9%
5 92
 
6.0%
8 84
 
5.4%
2 84
 
5.4%
1 83
 
5.4%
4 70
 
4.5%
Other values (5) 267
17.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 728
47.1%
Decimal Number 680
44.0%
Other Punctuation 138
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 92
13.5%
8 84
12.4%
2 84
12.4%
1 83
12.2%
4 70
10.3%
3 66
9.7%
6 58
8.5%
7 54
7.9%
9 47
6.9%
0 42
6.2%
Lowercase Letter
ValueCountFrequency (%)
k 182
25.0%
c 182
25.0%
a 182
25.0%
l 182
25.0%
Other Punctuation
ValueCountFrequency (%)
. 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 818
52.9%
Latin 728
47.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 138
16.9%
5 92
11.2%
8 84
10.3%
2 84
10.3%
1 83
10.1%
4 70
8.6%
3 66
8.1%
6 58
7.1%
7 54
 
6.6%
9 47
 
5.7%
Latin
ValueCountFrequency (%)
k 182
25.0%
c 182
25.0%
a 182
25.0%
l 182
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 182
11.8%
c 182
11.8%
a 182
11.8%
l 182
11.8%
. 138
8.9%
5 92
 
6.0%
8 84
 
5.4%
2 84
 
5.4%
1 83
 
5.4%
4 70
 
4.5%
Other values (5) 267
17.3%

열량합계
Categorical

Distinct31
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2925.06kcal
 
8
2249.75kcal
 
8
2085.38kcal
 
8
2725.31kcal
 
8
2681.32kcal
 
7
Other values (26)
166 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2649.70kcal
2nd row2649.70kcal
3rd row2649.70kcal
4th row2649.70kcal
5th row2649.70kcal

Common Values

ValueCountFrequency (%)
2925.06kcal 8
 
3.9%
2249.75kcal 8
 
3.9%
2085.38kcal 8
 
3.9%
2725.31kcal 8
 
3.9%
2681.32kcal 7
 
3.4%
2917.38kcal 7
 
3.4%
3037.27kcal 7
 
3.4%
3616.96kcal 7
 
3.4%
3120.15kcal 7
 
3.4%
2662.83kcal 7
 
3.4%
Other values (21) 131
63.9%

Length

2023-12-12T12:39:21.223720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2925.06kcal 8
 
3.9%
2085.38kcal 8
 
3.9%
2725.31kcal 8
 
3.9%
2249.75kcal 8
 
3.9%
2662.83kcal 7
 
3.4%
2649.70kcal 7
 
3.4%
2481.48kcal 7
 
3.4%
2979.72kcal 7
 
3.4%
3056.84kcal 7
 
3.4%
3397.32kcal 7
 
3.4%
Other values (21) 131
63.9%

Correlations

2023-12-12T12:39:21.317450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량중식중식열량열량합계
날짜1.0000.0000.0000.3650.5101.000
조식0.0001.0001.0000.9930.9930.000
조식열량0.0001.0001.0000.9930.9930.000
중식0.3650.9930.9931.0001.0000.365
중식열량0.5100.9930.9931.0001.0000.510
열량합계1.0000.0000.0000.3650.5101.000

Missing values

2023-12-12T12:39:14.773550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:39:14.965149image/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.
2023-12-12T12:39:15.108007image/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
02021-08-01밥1363kcal찹쌀밥380.95kcal영양밥382.45kcal2649.70kcal
12021-08-01쇠고기미역국(05)(16)26.65kcal돼지불고기(05)(06)(10)381.07kcal닭곰탕(15)98.43kcal2649.70kcal
22021-08-01돼지고기감자조림(05)(06)(10)193.83kcal두부케첩조림(05)(06)(12)98.66kcal마파두부(05)(06)(10)225.71kcal2649.70kcal
32021-08-01콩나물무침(05)35.86kcal풋고추된장무침(05)43.4kcal사각어묵잡채(05)(06)176.07kcal2649.70kcal
42021-08-01배추김치(7~9월)8.25kcal백김치15.12kcal맛김0kcal2649.70kcal
52021-08-01우유(백색우유(200ML,연간))(02)122kcal<NA><NA>배추김치(7~9월)8.25kcal2649.70kcal
62021-08-01<NA><NA><NA><NA>비타민음료90kcal2649.70kcal
72021-08-02밥1363kcal영양밥382.45kcal밥1363kcal2635.88kcal
82021-08-02계란국(01)(05)(06)63.47kcal미역국(05)12.9kcal버섯두부탕(05)(16)78.77kcal2635.88kcal
92021-08-02돼지고기김치볶음(10)189.9kcal닭순살감자조림(05)(06)(15)184.04kcal닭강정(06)(15)475.22kcal2635.88kcal
날짜조식조식열량중식중식열량석식석식열량열량합계
1952021-08-30열무김치11.84kcal맛김0kcal무생채36.72kcal3056.90kcal
1962021-08-30우유(백색우유(200ML,연간))(02)122kcal감자샐러드(01)138.13kcal배추김치(7~9월)8.25kcal3056.90kcal
1972021-08-30<NA><NA>깍두기(완제품)(09)15.2kcal레몬에이드26kcal3056.90kcal
1982021-08-31밥1363kcal새우버거(01)(02)(06)(09)(12)888.75kcal영양밥382.45kcal3616.96kcal
1992021-08-31닭곰탕(15)98.43kcal삶은계란(01)70.28kcal김치국(05)26.16kcal3616.96kcal
2002021-08-31김자반43kcal콘푸로스트153.2kcal오삼불고기(05)(06)(10)(17)500.56kcal3616.96kcal
2012021-08-31돼지고기장조림(05)(06)(10)234.78kcal아이스크림, 떠먹는형180kcal고등어순살튀김(01)(06)(07)414.04kcal3616.96kcal
2022021-08-31콩나물무침(05)35.86kcal<NA><NA>깍두기(완제품)(09)15.2kcal3616.96kcal
2032021-08-31배추김치(7~9월)8.25kcal<NA><NA>복숭아 주스(340㎖/캔)81kcal3616.96kcal
2042021-08-31우유(백색우유(200ML,연간))(02)122kcal<NA><NA><NA><NA>3616.96kcal