Overview

Dataset statistics

Number of variables8
Number of observations195
Missing cells160
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory64.7 B

Variable types

Categorical2
Text6

Dataset

Description제8902부대의 식단정보입니다. 월간 표준식단 자료로서 날짜별 조식, 중식, 석식 식단과 식단별 열량 자료를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069428/fileData.do

Alerts

날짜 is highly overall correlated with 열량합계High correlation
열량합계 is highly overall correlated with 날짜High correlation
조식 has 14 (7.2%) missing valuesMissing
조식열량 has 14 (7.2%) missing valuesMissing
중식 has 27 (13.8%) missing valuesMissing
중식열량 has 34 (17.4%) missing valuesMissing
석식 has 35 (17.9%) missing valuesMissing
석식열량 has 36 (18.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:32:21.660726
Analysis finished2023-12-12 05:32:22.863145
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2021-08-15
 
8
2021-08-09
 
7
2021-08-19
 
7
2021-08-18
 
7
2021-08-13
 
7
Other values (26)
159 

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
 
4.1%
2021-08-09 7
 
3.6%
2021-08-19 7
 
3.6%
2021-08-18 7
 
3.6%
2021-08-13 7
 
3.6%
2021-08-31 7
 
3.6%
2021-08-07 7
 
3.6%
2021-08-16 7
 
3.6%
2021-08-05 6
 
3.1%
2021-08-04 6
 
3.1%
Other values (21) 126
64.6%

Length

2023-12-12T14:32:22.954637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-15 8
 
4.1%
2021-08-19 7
 
3.6%
2021-08-18 7
 
3.6%
2021-08-13 7
 
3.6%
2021-08-31 7
 
3.6%
2021-08-07 7
 
3.6%
2021-08-16 7
 
3.6%
2021-08-09 7
 
3.6%
2021-08-26 6
 
3.1%
2021-08-22 6
 
3.1%
Other values (21) 126
64.6%

조식
Text

MISSING 

Distinct65
Distinct (%)35.9%
Missing14
Missing (%)7.2%
Memory size1.7 KiB
2023-12-12T14:32:23.210359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length21
Mean length13.033149
Min length1

Characters and Unicode

Total characters2359
Distinct characters151
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

Unique39 ?
Unique (%)21.5%

Sample

1st row간장계란밥(01)(05)(06)
2nd row비엔나소시지케찹볶음(10)(12)
3rd row감자매운조림(05)(06)
4th row배추김치(7~9월)
5th row감귤 주스(340㎖/ 페트)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 31
16.9%
밥 22
 
12.0%
배추김치(7~9월 19
 
10.4%
맛김 7
 
3.8%
깍두기(완제품)(09 6
 
3.3%
쇠고기미역국(05)(16 5
 
2.7%
돼지고기김치찌개(05)(06)(10 4
 
2.2%
비엔나소시지야채볶음(05)(06)(10 4
 
2.2%
감자매운조림(05)(06 4
 
2.2%
햄감자채볶음(10 4
 
2.2%
Other values (57) 77
42.1%
2023-12-12T14:32:23.672645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 321
 
13.6%
( 321
 
13.6%
0 263
 
11.1%
1 75
 
3.2%
2 73
 
3.1%
5 64
 
2.7%
6 63
 
2.7%
유 63
 
2.7%
우 63
 
2.7%
김 40
 
1.7%
Other values (141) 1013
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1001
42.4%
Decimal Number 595
25.2%
Close Punctuation 321
 
13.6%
Open Punctuation 321
 
13.6%
Uppercase Letter 62
 
2.6%
Other Punctuation 36
 
1.5%
Math Symbol 19
 
0.8%
Space Separator 2
 
0.1%
Lowercase Letter 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
 
6.3%
우 63
 
6.3%
김 40
 
4.0%
간 35
 
3.5%
치 35
 
3.5%
연 32
 
3.2%
색 31
 
3.1%
백 31
 
3.1%
기 30
 
3.0%
고 27
 
2.7%
Other values (122) 614
61.3%
Decimal Number
ValueCountFrequency (%)
0 263
44.2%
1 75
 
12.6%
2 73
 
12.3%
5 64
 
10.8%
6 63
 
10.6%
9 29
 
4.9%
7 26
 
4.4%
3 1
 
0.2%
4 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 35
97.2%
/ 1
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
M 31
50.0%
L 31
50.0%
Close Punctuation
ValueCountFrequency (%)
) 321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 321
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
54.9%
Hangul 1001
42.4%
Latin 63
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
 
6.3%
우 63
 
6.3%
김 40
 
4.0%
간 35
 
3.5%
치 35
 
3.5%
연 32
 
3.2%
색 31
 
3.1%
백 31
 
3.1%
기 30
 
3.0%
고 27
 
2.7%
Other values (122) 614
61.3%
Common
ValueCountFrequency (%)
) 321
24.8%
( 321
24.8%
0 263
20.3%
1 75
 
5.8%
2 73
 
5.6%
5 64
 
4.9%
6 63
 
4.9%
, 35
 
2.7%
9 29
 
2.2%
7 26
 
2.0%
Other values (6) 25
 
1.9%
Latin
ValueCountFrequency (%)
M 31
49.2%
L 31
49.2%
g 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1357
57.5%
Hangul 1001
42.4%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 321
23.7%
( 321
23.7%
0 263
19.4%
1 75
 
5.5%
2 73
 
5.4%
5 64
 
4.7%
6 63
 
4.6%
, 35
 
2.6%
M 31
 
2.3%
L 31
 
2.3%
Other values (8) 80
 
5.9%
Hangul
ValueCountFrequency (%)
유 63
 
6.3%
우 63
 
6.3%
김 40
 
4.0%
간 35
 
3.5%
치 35
 
3.5%
연 32
 
3.2%
색 31
 
3.1%
백 31
 
3.1%
기 30
 
3.0%
고 27
 
2.7%
Other values (122) 614
61.3%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

조식열량
Text

MISSING 

Distinct65
Distinct (%)35.9%
Missing14
Missing (%)7.2%
Memory size1.7 KiB
2023-12-12T14:32:23.985009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.1712707
Min length5

Characters and Unicode

Total characters1479
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

Unique39 ?
Unique (%)21.5%

Sample

1st row605.35kcal
2nd row290.22kcal
3rd row55.52kcal
4th row8.5kcal
5th row44kcal
ValueCountFrequency (%)
122kcal 31
17.1%
363kcal 22
 
12.2%
8.5kcal 19
 
10.5%
0kcal 7
 
3.9%
15.2kcal 6
 
3.3%
30.54kcal 5
 
2.8%
178.15kcal 4
 
2.2%
187.33kcal 4
 
2.2%
55.52kcal 4
 
2.2%
111.54kcal 4
 
2.2%
Other values (55) 75
41.4%
2023-12-12T14:32:24.519261image/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%
2 126
8.5%
. 117
7.9%
1 99
6.7%
3 88
5.9%
5 86
5.8%
8 56
 
3.8%
Other values (5) 183
12.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 724
49.0%
Decimal Number 638
43.1%
Other Punctuation 117
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 126
19.7%
1 99
15.5%
3 88
13.8%
5 86
13.5%
8 56
8.8%
6 54
8.5%
4 39
 
6.1%
7 35
 
5.5%
0 29
 
4.5%
9 26
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
k 181
25.0%
c 181
25.0%
a 181
25.0%
l 181
25.0%
Other Punctuation
ValueCountFrequency (%)
. 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 755
51.0%
Latin 724
49.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 126
16.7%
. 117
15.5%
1 99
13.1%
3 88
11.7%
5 86
11.4%
8 56
7.4%
6 54
7.2%
4 39
 
5.2%
7 35
 
4.6%
0 29
 
3.8%
Latin
ValueCountFrequency (%)
k 181
25.0%
c 181
25.0%
a 181
25.0%
l 181
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1479
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%
2 126
8.5%
. 117
7.9%
1 99
6.7%
3 88
5.9%
5 86
5.8%
8 56
 
3.8%
Other values (5) 183
12.4%

중식
Text

MISSING 

Distinct108
Distinct (%)64.3%
Missing27
Missing (%)13.8%
Memory size1.7 KiB
2023-12-12T14:32:24.790012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length11.553571
Min length1

Characters and Unicode

Total characters1941
Distinct characters218
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 (%)48.8%

Sample

1st row밥
2nd row쇠고기육개장(01)(05)(06)(16)
3rd row애호박나물(05)(09)
4th row닭간장소스찜(05)(06)(15)
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 13
 
7.3%
열무김치 8
 
4.5%
깍두기(완제품)(09 8
 
4.5%
잡곡밥 6
 
3.4%
찹쌀밥 4
 
2.3%
모듬야채(쌈장)(05)(06 3
 
1.7%
200ml 3
 
1.7%
피크닉청포도 3
 
1.7%
현미밥 3
 
1.7%
흑미밥 3
 
1.7%
Other values (105) 123
69.5%
2023-12-12T14:32:25.245696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 265
 
13.7%
( 265
 
13.7%
0 203
 
10.5%
5 83
 
4.3%
1 74
 
3.8%
6 71
 
3.7%
치 35
 
1.8%
김 31
 
1.6%
9 29
 
1.5%
밥 28
 
1.4%
Other values (208) 857
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
43.9%
Decimal Number 505
26.0%
Close Punctuation 265
 
13.7%
Open Punctuation 265
 
13.7%
Math Symbol 15
 
0.8%
Lowercase Letter 14
 
0.7%
Space Separator 10
 
0.5%
Other Punctuation 10
 
0.5%
Uppercase Letter 4
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 35
 
4.1%
김 31
 
3.6%
밥 28
 
3.3%
추 28
 
3.3%
기 25
 
2.9%
장 22
 
2.6%
고 20
 
2.3%
배 20
 
2.3%
무 20
 
2.3%
월 15
 
1.8%
Other values (185) 608
71.4%
Decimal Number
ValueCountFrequency (%)
0 203
40.2%
5 83
16.4%
1 74
 
14.7%
6 71
 
14.1%
9 29
 
5.7%
7 20
 
4.0%
2 18
 
3.6%
3 3
 
0.6%
4 3
 
0.6%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
/ 2
 
20.0%
. 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
~ 13
86.7%
∼ 2
 
13.3%
Lowercase Letter
ValueCountFrequency (%)
m 7
50.0%
l 7
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
L 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1071
55.2%
Hangul 852
43.9%
Latin 18
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 35
 
4.1%
김 31
 
3.6%
밥 28
 
3.3%
추 28
 
3.3%
기 25
 
2.9%
장 22
 
2.6%
고 20
 
2.3%
배 20
 
2.3%
무 20
 
2.3%
월 15
 
1.8%
Other values (185) 608
71.4%
Common
ValueCountFrequency (%)
) 265
24.7%
( 265
24.7%
0 203
19.0%
5 83
 
7.7%
1 74
 
6.9%
6 71
 
6.6%
9 29
 
2.7%
7 20
 
1.9%
2 18
 
1.7%
~ 13
 
1.2%
Other values (9) 30
 
2.8%
Latin
ValueCountFrequency (%)
m 7
38.9%
l 7
38.9%
M 2
 
11.1%
L 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1086
56.0%
Hangul 852
43.9%
Math Operators 2
 
0.1%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 265
24.4%
( 265
24.4%
0 203
18.7%
5 83
 
7.6%
1 74
 
6.8%
6 71
 
6.5%
9 29
 
2.7%
7 20
 
1.8%
2 18
 
1.7%
~ 13
 
1.2%
Other values (11) 45
 
4.1%
Hangul
ValueCountFrequency (%)
치 35
 
4.1%
김 31
 
3.6%
밥 28
 
3.3%
추 28
 
3.3%
기 25
 
2.9%
장 22
 
2.6%
고 20
 
2.3%
배 20
 
2.3%
무 20
 
2.3%
월 15
 
1.8%
Other values (185) 608
71.4%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

중식열량
Text

MISSING 

Distinct104
Distinct (%)64.6%
Missing34
Missing (%)17.4%
Memory size1.7 KiB
2023-12-12T14:32:25.626846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.8385093
Min length5

Characters and Unicode

Total characters1423
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

Unique80 ?
Unique (%)49.7%

Sample

1st row363kcal
2nd row139.9kcal
3rd row115.37kcal
4th row217.89kcal
5th row8.5kcal
ValueCountFrequency (%)
8.5kcal 13
 
8.1%
15.2kcal 8
 
5.0%
12.8kcal 8
 
5.0%
394.2kcal 6
 
3.7%
380.95kcal 4
 
2.5%
34.35kcal 3
 
1.9%
374.25kcal 3
 
1.9%
66.59kcal 3
 
1.9%
377.52kcal 3
 
1.9%
122kcal 2
 
1.2%
Other values (94) 108
67.1%
2023-12-12T14:32:26.050954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 161
11.3%
c 161
11.3%
a 161
11.3%
l 161
11.3%
. 149
10.5%
5 84
 
5.9%
2 82
 
5.8%
1 75
 
5.3%
8 70
 
4.9%
3 69
 
4.8%
Other values (5) 250
17.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 644
45.3%
Decimal Number 630
44.3%
Other Punctuation 149
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 84
13.3%
2 82
13.0%
1 75
11.9%
8 70
11.1%
3 69
11.0%
6 61
9.7%
9 60
9.5%
7 52
8.3%
4 45
7.1%
0 32
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
k 161
25.0%
c 161
25.0%
a 161
25.0%
l 161
25.0%
Other Punctuation
ValueCountFrequency (%)
. 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 779
54.7%
Latin 644
45.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 149
19.1%
5 84
10.8%
2 82
10.5%
1 75
9.6%
8 70
9.0%
3 69
8.9%
6 61
7.8%
9 60
7.7%
7 52
 
6.7%
4 45
 
5.8%
Latin
ValueCountFrequency (%)
k 161
25.0%
c 161
25.0%
a 161
25.0%
l 161
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 161
11.3%
c 161
11.3%
a 161
11.3%
l 161
11.3%
. 149
10.5%
5 84
 
5.9%
2 82
 
5.8%
1 75
 
5.3%
8 70
 
4.9%
3 69
 
4.8%
Other values (5) 250
17.6%

석식
Text

MISSING 

Distinct100
Distinct (%)62.5%
Missing35
Missing (%)17.9%
Memory size1.7 KiB
2023-12-12T14:32:26.326840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length11.1875
Min length1

Characters and Unicode

Total characters1790
Distinct characters197
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

Unique73 ?
Unique (%)45.6%

Sample

1st row잡곡밥
2nd row콩나물김치국(05)
3rd row오삼불고기(05)(06)(10)(17)
4th row양배추/풋고추쌈(05)(06)
5th row열무김치
ValueCountFrequency (%)
배추김치(7~9월 21
 
12.0%
밥 10
 
5.7%
아이스크림 6
 
3.4%
열무김치 4
 
2.3%
잡곡밥 4
 
2.3%
모듬쌈(05)(06 3
 
1.7%
튜브형 3
 
1.7%
오이무침(06 2
 
1.1%
불닭덮밥(01)(05)(06)(15 2
 
1.1%
양배추/풋고추쌈(05)(06 2
 
1.1%
Other values (98) 118
67.4%
2023-12-12T14:32:26.730464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 238
 
13.3%
) 238
 
13.3%
0 184
 
10.3%
5 78
 
4.4%
1 74
 
4.1%
6 66
 
3.7%
김 39
 
2.2%
치 39
 
2.2%
추 39
 
2.2%
밥 30
 
1.7%
Other values (187) 765
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
44.3%
Decimal Number 472
26.4%
Open Punctuation 238
 
13.3%
Close Punctuation 238
 
13.3%
Math Symbol 21
 
1.2%
Space Separator 16
 
0.9%
Other Punctuation 7
 
0.4%
Other Symbol 3
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 39
 
4.9%
치 39
 
4.9%
추 39
 
4.9%
밥 30
 
3.8%
배 28
 
3.5%
고 28
 
3.5%
월 21
 
2.6%
기 19
 
2.4%
이 17
 
2.1%
국 15
 
1.9%
Other values (169) 518
65.3%
Decimal Number
ValueCountFrequency (%)
0 184
39.0%
5 78
16.5%
1 74
15.7%
6 66
 
14.0%
7 26
 
5.5%
9 25
 
5.3%
2 15
 
3.2%
3 3
 
0.6%
4 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 5
71.4%
, 2
 
28.6%
Lowercase Letter
ValueCountFrequency (%)
l 1
50.0%
m 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 238
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 995
55.6%
Hangul 793
44.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 39
 
4.9%
치 39
 
4.9%
추 39
 
4.9%
밥 30
 
3.8%
배 28
 
3.5%
고 28
 
3.5%
월 21
 
2.6%
기 19
 
2.4%
이 17
 
2.1%
국 15
 
1.9%
Other values (169) 518
65.3%
Common
ValueCountFrequency (%)
( 238
23.9%
) 238
23.9%
0 184
18.5%
5 78
 
7.8%
1 74
 
7.4%
6 66
 
6.6%
7 26
 
2.6%
9 25
 
2.5%
~ 21
 
2.1%
16
 
1.6%
Other values (6) 29
 
2.9%
Latin
ValueCountFrequency (%)
l 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 994
55.5%
Hangul 793
44.3%
CJK Compat 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 238
23.9%
) 238
23.9%
0 184
18.5%
5 78
 
7.8%
1 74
 
7.4%
6 66
 
6.6%
7 26
 
2.6%
9 25
 
2.5%
~ 21
 
2.1%
16
 
1.6%
Other values (7) 28
 
2.8%
Hangul
ValueCountFrequency (%)
김 39
 
4.9%
치 39
 
4.9%
추 39
 
4.9%
밥 30
 
3.8%
배 28
 
3.5%
고 28
 
3.5%
월 21
 
2.6%
기 19
 
2.4%
이 17
 
2.1%
국 15
 
1.9%
Other values (169) 518
65.3%
CJK Compat
ValueCountFrequency (%)
㎖ 3
100.0%

석식열량
Text

MISSING 

Distinct97
Distinct (%)61.0%
Missing36
Missing (%)18.5%
Memory size1.7 KiB
2023-12-12T14:32:27.020639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.6289308
Min length5

Characters and Unicode

Total characters1372
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 (%)44.0%

Sample

1st row394.2kcal
2nd row31.34kcal
3rd row519.42kcal
4th row80.98kcal
5th row12.8kcal
ValueCountFrequency (%)
8.5kcal 21
 
13.2%
363kcal 10
 
6.3%
180kcal 4
 
2.5%
394.2kcal 4
 
2.5%
12.8kcal 4
 
2.5%
30.54kcal 3
 
1.9%
68.66kcal 3
 
1.9%
46kcal 2
 
1.3%
378.8kcal 2
 
1.3%
92.89kcal 2
 
1.3%
Other values (87) 104
65.4%
2023-12-12T14:32:27.452373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 159
11.6%
c 159
11.6%
a 159
11.6%
l 159
11.6%
. 133
9.7%
5 86
 
6.3%
8 72
 
5.2%
3 69
 
5.0%
1 67
 
4.9%
6 64
 
4.7%
Other values (5) 245
17.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 636
46.4%
Decimal Number 603
44.0%
Other Punctuation 133
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 86
14.3%
8 72
11.9%
3 69
11.4%
1 67
11.1%
6 64
10.6%
2 64
10.6%
4 54
9.0%
9 49
8.1%
0 40
6.6%
7 38
6.3%
Lowercase Letter
ValueCountFrequency (%)
k 159
25.0%
c 159
25.0%
a 159
25.0%
l 159
25.0%
Other Punctuation
ValueCountFrequency (%)
. 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
53.6%
Latin 636
46.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 133
18.1%
5 86
11.7%
8 72
9.8%
3 69
9.4%
1 67
9.1%
6 64
8.7%
2 64
8.7%
4 54
7.3%
9 49
 
6.7%
0 40
 
5.4%
Latin
ValueCountFrequency (%)
k 159
25.0%
c 159
25.0%
a 159
25.0%
l 159
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 159
11.6%
c 159
11.6%
a 159
11.6%
l 159
11.6%
. 133
9.7%
5 86
 
6.3%
8 72
 
5.2%
3 69
 
5.0%
1 67
 
4.9%
6 64
 
4.7%
Other values (5) 245
17.9%

열량합계
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2742.29kcal
 
8
2630.46kcal
 
7
2718.30kcal
 
7
2952.10kcal
 
7
2600.72kcal
 
7
Other values (26)
159 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3168.99kcal
2nd row3168.99kcal
3rd row3168.99kcal
4th row3168.99kcal
5th row3168.99kcal

Common Values

ValueCountFrequency (%)
2742.29kcal 8
 
4.1%
2630.46kcal 7
 
3.6%
2718.30kcal 7
 
3.6%
2952.10kcal 7
 
3.6%
2600.72kcal 7
 
3.6%
2693.78kcal 7
 
3.6%
3035.73kcal 7
 
3.6%
2878.36kcal 7
 
3.6%
3787.35kcal 6
 
3.1%
2811.08kcal 6
 
3.1%
Other values (21) 126
64.6%

Length

2023-12-12T14:32:27.606633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2742.29kcal 8
 
4.1%
2718.30kcal 7
 
3.6%
2952.10kcal 7
 
3.6%
2600.72kcal 7
 
3.6%
2693.78kcal 7
 
3.6%
3035.73kcal 7
 
3.6%
2878.36kcal 7
 
3.6%
2630.46kcal 7
 
3.6%
3866.49kcal 6
 
3.1%
2816.30kcal 6
 
3.1%
Other values (21) 126
64.6%

Correlations

2023-12-12T14:32:27.692099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량석식석식열량열량합계
날짜1.0000.0000.0000.0000.1641.000
조식0.0001.0001.0000.9460.9400.000
조식열량0.0001.0001.0000.9460.9400.000
석식0.0000.9460.9461.0001.0000.000
석식열량0.1640.9400.9401.0001.0000.164
열량합계1.0000.0000.0000.0000.1641.000
2023-12-12T14:32:27.807783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000
2023-12-12T14:32:27.883832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000

Missing values

2023-12-12T14:32:22.338179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:32:22.441032image/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.
2023-12-12T14:32:22.793829image/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
02021-08-01간장계란밥(01)(05)(06)605.35kcal밥363kcal잡곡밥394.2kcal3168.99kcal
12021-08-01비엔나소시지케찹볶음(10)(12)290.22kcal쇠고기육개장(01)(05)(06)(16)139.9kcal콩나물김치국(05)31.34kcal3168.99kcal
22021-08-01감자매운조림(05)(06)55.52kcal애호박나물(05)(09)115.37kcal오삼불고기(05)(06)(10)(17)519.42kcal3168.99kcal
32021-08-01배추김치(7~9월)8.5kcal닭간장소스찜(05)(06)(15)217.89kcal양배추/풋고추쌈(05)(06)80.98kcal3168.99kcal
42021-08-01감귤 주스(340㎖/ 페트)44kcal배추김치(7~9월)8.5kcal열무김치12.8kcal3168.99kcal
52021-08-01우유(백색우유(200ML,연간))(02)122kcal젤리160kcal<NA><NA>3168.99kcal
62021-08-02밥363kcal잡채밥(05)(06)(16)560.79kcal잡곡밥394.2kcal3039.02kcal
72021-08-02쇠고기무국(05)(16)33.62kcal돼지고기김치찌개(05)(06)(10)178.15kcal두부고추장찌개(05)(06)(10)161.98kcal3039.02kcal
82021-08-02멸치볶음(05)(06)92.89kcal방어순살조림(05)(06)107.19kcal파채돈까스(06)(10)560.26kcal3039.02kcal
92021-08-02돼지고기감자조림(05)(06)(10)316.02kcal배추김치(7~9월)8.5kcal야채샐러드(01)(05)(06)(12)111.57kcal3039.02kcal
날짜조식조식열량중식중식열량석식석식열량열량합계
1852021-08-30순두부양념장(05)(06)62.85kcal콩나물무침(05)29.72kcal계란후라이(01)125.64kcal2559.96kcal
1862021-08-30배추김치(7~9월)8.5kcal열무김치12.8kcal배추김치(7~9월)8.5kcal2559.96kcal
1872021-08-30우유(백색우유(200ML,연간))(02)122kcal<NA><NA>사과 주스(200㎖/팩)46kcal2559.96kcal
1882021-08-31밥363kcal잡곡밥394.2kcal밥363kcal2693.78kcal
1892021-08-31생선묵국(05)(06)78.77kcal순두부국(05)(09)35.2kcal쇠고기미역국(05)(16)30.54kcal2693.78kcal
1902021-08-31두부김치(05)(10)230.92kcal우엉돼지불고기(05)(06)(10)398.56kcal닭고기김치찜(15)140.51kcal2693.78kcal
1912021-08-31맛김0kcal모듬야채(쌈장)(05)(06)66.59kcal순살삼치구이(06)158.59kcal2693.78kcal
1922021-08-31감자조림(05)(06)84.28kcal열무김치12.8kcal배추김치(7~9월)8.5kcal2693.78kcal
1932021-08-31배추김치(7~9월)8.5kcal토마토(비생산기)(12)17.82kcal튜브형 아이스크림180kcal2693.78kcal
1942021-08-31우유(백색우유(200ML,연간))(02)122kcal<NA><NA><NA><NA>2693.78kcal