Overview

Dataset statistics

Number of variables8
Number of observations188
Missing cells125
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory64.7 B

Variable types

Categorical2
Text6

Dataset

Description제5021부대의 식단정보입니다. 월간 표준식단 자료로서 날짜별 조식, 중식, 석식 식단과 식단별 열량 자료를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069440/fileData.do

Alerts

날짜 is highly overall correlated with 열량합계High correlation
열량합계 is highly overall correlated with 날짜High correlation
조식 has 20 (10.6%) missing valuesMissing
조식열량 has 22 (11.7%) missing valuesMissing
중식 has 27 (14.4%) missing valuesMissing
중식열량 has 28 (14.9%) missing valuesMissing
석식 has 14 (7.4%) missing valuesMissing
석식열량 has 14 (7.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:30:02.390314
Analysis finished2023-12-12 16:30:04.134288
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2021-08-02
 
8
2021-08-23
 
7
2021-08-09
 
7
2021-08-11
 
7
2021-08-20
 
7
Other values (26)
152 

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 (%)
2021-08-02 8
 
4.3%
2021-08-23 7
 
3.7%
2021-08-09 7
 
3.7%
2021-08-11 7
 
3.7%
2021-08-20 7
 
3.7%
2021-08-17 7
 
3.7%
2021-08-01 7
 
3.7%
2021-08-15 6
 
3.2%
2021-08-31 6
 
3.2%
2021-08-03 6
 
3.2%
Other values (21) 120
63.8%

Length

2023-12-13T01:30:04.197683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-02 8
 
4.3%
2021-08-09 7
 
3.7%
2021-08-11 7
 
3.7%
2021-08-20 7
 
3.7%
2021-08-17 7
 
3.7%
2021-08-01 7
 
3.7%
2021-08-23 7
 
3.7%
2021-08-16 6
 
3.2%
2021-08-30 6
 
3.2%
2021-08-29 6
 
3.2%
Other values (21) 120
63.8%

조식
Text

MISSING 

Distinct81
Distinct (%)48.2%
Missing20
Missing (%)10.6%
Memory size1.6 KiB
2023-12-13T01:30:04.533015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20.5
Mean length12.571429
Min length1

Characters and Unicode

Total characters2112
Distinct characters180
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

Unique56 ?
Unique (%)33.3%

Sample

1st row김치덮밥(05)(06)(10)
2nd row쇠고기무국(05)(16)
3rd row순두부양념장(05)(06)
4th row깍두기(완제품)(09)
5th row우유(백색우유(200ML,연간))(02)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 20
 
11.6%
밥 18
 
10.5%
배추김치(7~9월 14
 
8.1%
깍두기(완제품)(09 8
 
4.7%
조미김 5
 
2.9%
쇠고기무국(05)(16 4
 
2.3%
마파두부덮밥(05)(06)(10 3
 
1.7%
김치덮밥(05)(06)(10 3
 
1.7%
버섯호박볶음(05)(06)(09 3
 
1.7%
열무김치 3
 
1.7%
Other values (75) 91
52.9%
2023-12-13T01:30:04.971683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 295
 
14.0%
) 295
 
14.0%
0 238
 
11.3%
5 74
 
3.5%
6 72
 
3.4%
1 67
 
3.2%
2 50
 
2.4%
유 46
 
2.2%
우 43
 
2.0%
치 33
 
1.6%
Other values (170) 899
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 891
42.2%
Decimal Number 548
25.9%
Open Punctuation 295
 
14.0%
Close Punctuation 295
 
14.0%
Uppercase Letter 40
 
1.9%
Other Punctuation 21
 
1.0%
Math Symbol 15
 
0.7%
Space Separator 5
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 46
 
5.2%
우 43
 
4.8%
치 33
 
3.7%
김 32
 
3.6%
기 28
 
3.1%
고 27
 
3.0%
밥 27
 
3.0%
간 23
 
2.6%
백 21
 
2.4%
추 21
 
2.4%
Other values (151) 590
66.2%
Decimal Number
ValueCountFrequency (%)
0 238
43.4%
5 74
 
13.5%
6 72
 
13.1%
1 67
 
12.2%
2 50
 
9.1%
9 27
 
4.9%
7 16
 
2.9%
8 2
 
0.4%
3 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 20
50.0%
L 20
50.0%
Math Symbol
ValueCountFrequency (%)
~ 14
93.3%
∼ 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 295
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1179
55.8%
Hangul 891
42.2%
Latin 42
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 46
 
5.2%
우 43
 
4.8%
치 33
 
3.7%
김 32
 
3.6%
기 28
 
3.1%
고 27
 
3.0%
밥 27
 
3.0%
간 23
 
2.6%
백 21
 
2.4%
추 21
 
2.4%
Other values (151) 590
66.2%
Common
ValueCountFrequency (%)
( 295
25.0%
) 295
25.0%
0 238
20.2%
5 74
 
6.3%
6 72
 
6.1%
1 67
 
5.7%
2 50
 
4.2%
9 27
 
2.3%
, 21
 
1.8%
7 16
 
1.4%
Other values (5) 24
 
2.0%
Latin
ValueCountFrequency (%)
M 20
47.6%
L 20
47.6%
m 1
 
2.4%
l 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1220
57.8%
Hangul 891
42.2%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 295
24.2%
) 295
24.2%
0 238
19.5%
5 74
 
6.1%
6 72
 
5.9%
1 67
 
5.5%
2 50
 
4.1%
9 27
 
2.2%
, 21
 
1.7%
M 20
 
1.6%
Other values (8) 61
 
5.0%
Hangul
ValueCountFrequency (%)
유 46
 
5.2%
우 43
 
4.8%
치 33
 
3.7%
김 32
 
3.6%
기 28
 
3.1%
고 27
 
3.0%
밥 27
 
3.0%
간 23
 
2.6%
백 21
 
2.4%
추 21
 
2.4%
Other values (151) 590
66.2%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

조식열량
Text

MISSING 

Distinct79
Distinct (%)47.6%
Missing22
Missing (%)11.7%
Memory size1.6 KiB
2023-12-13T01:30:05.248002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.246988
Min length5

Characters and Unicode

Total characters1369
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

Unique52 ?
Unique (%)31.3%

Sample

1st row622.14kcal
2nd row43.12kcal
3rd row61.27kcal
4th row15.2kcal
5th row122kcal
ValueCountFrequency (%)
363kcal 18
 
10.8%
122kcal 16
 
9.6%
9.5kcal 14
 
8.4%
15.2kcal 8
 
4.8%
0kcal 5
 
3.0%
244kcal 4
 
2.4%
43.12kcal 4
 
2.4%
816.21kcal 3
 
1.8%
45.81kcal 3
 
1.8%
12.8kcal 3
 
1.8%
Other values (69) 88
53.0%
2023-12-13T01:30:05.583210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 166
12.1%
c 166
12.1%
a 166
12.1%
l 166
12.1%
. 114
8.3%
2 111
8.1%
1 91
6.6%
3 72
 
5.3%
5 64
 
4.7%
4 61
 
4.5%
Other values (5) 192
14.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 664
48.5%
Decimal Number 591
43.2%
Other Punctuation 114
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 111
18.8%
1 91
15.4%
3 72
12.2%
5 64
10.8%
4 61
10.3%
6 51
8.6%
9 43
 
7.3%
7 39
 
6.6%
8 37
 
6.3%
0 22
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
k 166
25.0%
c 166
25.0%
a 166
25.0%
l 166
25.0%
Other Punctuation
ValueCountFrequency (%)
. 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 705
51.5%
Latin 664
48.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 114
16.2%
2 111
15.7%
1 91
12.9%
3 72
10.2%
5 64
9.1%
4 61
8.7%
6 51
7.2%
9 43
 
6.1%
7 39
 
5.5%
8 37
 
5.2%
Latin
ValueCountFrequency (%)
k 166
25.0%
c 166
25.0%
a 166
25.0%
l 166
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 166
12.1%
c 166
12.1%
a 166
12.1%
l 166
12.1%
. 114
8.3%
2 111
8.1%
1 91
6.6%
3 72
 
5.3%
5 64
 
4.7%
4 61
 
4.5%
Other values (5) 192
14.0%

중식
Text

MISSING 

Distinct97
Distinct (%)60.2%
Missing27
Missing (%)14.4%
Memory size1.6 KiB
2023-12-13T01:30:05.820685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length11.819876
Min length1

Characters and Unicode

Total characters1903
Distinct characters193
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

Unique67 ?
Unique (%)41.6%

Sample

1st row찰보리밥
2nd row감자양파찌개(05)(06)
3rd row새송이버섯야채볶음(05)(06)
4th row쇠고기불고기(05)(06)(16)
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 14
 
8.2%
열무김치 8
 
4.7%
우유(백색우유(200ml,연간))(02 7
 
4.1%
깍두기(완제품)(09 5
 
2.9%
찰보리밥 4
 
2.4%
돼지불고기(05)(06)(10 3
 
1.8%
두부고추장찌개(05)(06)(10 3
 
1.8%
흑미밥 3
 
1.8%
삶은계란(01 3
 
1.8%
찹쌀밥 3
 
1.8%
Other values (95) 117
68.8%
2023-12-13T01:30:06.267827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 254
 
13.3%
) 254
 
13.3%
0 207
 
10.9%
1 75
 
3.9%
5 68
 
3.6%
6 64
 
3.4%
치 33
 
1.7%
김 32
 
1.7%
추 27
 
1.4%
밥 26
 
1.4%
Other values (183) 863
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 840
44.1%
Decimal Number 497
26.1%
Open Punctuation 254
 
13.3%
Close Punctuation 254
 
13.3%
Uppercase Letter 15
 
0.8%
Math Symbol 14
 
0.7%
Other Punctuation 14
 
0.7%
Space Separator 9
 
0.5%
Other Symbol 4
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 33
 
3.9%
김 32
 
3.8%
추 27
 
3.2%
밥 26
 
3.1%
고 25
 
3.0%
무 22
 
2.6%
기 20
 
2.4%
배 20
 
2.4%
이 17
 
2.0%
우 16
 
1.9%
Other values (160) 602
71.7%
Decimal Number
ValueCountFrequency (%)
0 207
41.6%
1 75
 
15.1%
5 68
 
13.7%
6 64
 
12.9%
9 24
 
4.8%
2 22
 
4.4%
7 20
 
4.0%
3 8
 
1.6%
8 6
 
1.2%
4 3
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 8
57.1%
/ 5
35.7%
. 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
L 7
46.7%
M 7
46.7%
V 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1046
55.0%
Hangul 840
44.1%
Latin 17
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 33
 
3.9%
김 32
 
3.8%
추 27
 
3.2%
밥 26
 
3.1%
고 25
 
3.0%
무 22
 
2.6%
기 20
 
2.4%
배 20
 
2.4%
이 17
 
2.0%
우 16
 
1.9%
Other values (160) 602
71.7%
Common
ValueCountFrequency (%)
( 254
24.3%
) 254
24.3%
0 207
19.8%
1 75
 
7.2%
5 68
 
6.5%
6 64
 
6.1%
9 24
 
2.3%
2 22
 
2.1%
7 20
 
1.9%
~ 14
 
1.3%
Other values (8) 44
 
4.2%
Latin
ValueCountFrequency (%)
L 7
41.2%
M 7
41.2%
V 1
 
5.9%
m 1
 
5.9%
l 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1059
55.6%
Hangul 840
44.1%
CJK Compat 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 254
24.0%
) 254
24.0%
0 207
19.5%
1 75
 
7.1%
5 68
 
6.4%
6 64
 
6.0%
9 24
 
2.3%
2 22
 
2.1%
7 20
 
1.9%
~ 14
 
1.3%
Other values (12) 57
 
5.4%
Hangul
ValueCountFrequency (%)
치 33
 
3.9%
김 32
 
3.8%
추 27
 
3.2%
밥 26
 
3.1%
고 25
 
3.0%
무 22
 
2.6%
기 20
 
2.4%
배 20
 
2.4%
이 17
 
2.0%
우 16
 
1.9%
Other values (160) 602
71.7%
CJK Compat
ValueCountFrequency (%)
㎖ 4
100.0%

중식열량
Text

MISSING 

Distinct97
Distinct (%)60.6%
Missing28
Missing (%)14.9%
Memory size1.6 KiB
2023-12-13T01:30:06.553825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.8
Min length5

Characters and Unicode

Total characters1408
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

Unique67 ?
Unique (%)41.9%

Sample

1st row386.7kcal
2nd row68.91kcal
3rd row51.27kcal
4th row309.48kcal
5th row9.5kcal
ValueCountFrequency (%)
9.5kcal 14
 
8.8%
12.8kcal 8
 
5.0%
122kcal 6
 
3.8%
15.2kcal 5
 
3.1%
386.7kcal 4
 
2.5%
423.74kcal 3
 
1.9%
98.99kcal 3
 
1.9%
381.75kcal 3
 
1.9%
70.28kcal 3
 
1.9%
391.72kcal 3
 
1.9%
Other values (87) 108
67.5%
2023-12-13T01:30:06.977987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 160
11.4%
c 160
11.4%
a 160
11.4%
l 160
11.4%
. 142
10.1%
2 82
 
5.8%
1 80
 
5.7%
8 73
 
5.2%
3 73
 
5.2%
9 70
 
5.0%
Other values (5) 248
17.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 640
45.5%
Decimal Number 626
44.5%
Other Punctuation 142
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 82
13.1%
1 80
12.8%
8 73
11.7%
3 73
11.7%
9 70
11.2%
5 62
9.9%
4 56
8.9%
7 46
7.3%
6 42
6.7%
0 42
6.7%
Lowercase Letter
ValueCountFrequency (%)
k 160
25.0%
c 160
25.0%
a 160
25.0%
l 160
25.0%
Other Punctuation
ValueCountFrequency (%)
. 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
54.5%
Latin 640
45.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 142
18.5%
2 82
10.7%
1 80
10.4%
8 73
9.5%
3 73
9.5%
9 70
9.1%
5 62
8.1%
4 56
 
7.3%
7 46
 
6.0%
6 42
 
5.5%
Latin
ValueCountFrequency (%)
k 160
25.0%
c 160
25.0%
a 160
25.0%
l 160
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 160
11.4%
c 160
11.4%
a 160
11.4%
l 160
11.4%
. 142
10.1%
2 82
 
5.8%
1 80
 
5.7%
8 73
 
5.2%
3 73
 
5.2%
9 70
 
5.0%
Other values (5) 248
17.6%

석식
Text

MISSING 

Distinct96
Distinct (%)55.2%
Missing14
Missing (%)7.4%
Memory size1.6 KiB
2023-12-13T01:30:07.267456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length19
Mean length10.954023
Min length1

Characters and Unicode

Total characters1906
Distinct characters188
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

Unique69 ?
Unique (%)39.7%

Sample

1st row밥
2nd row생선묵국(05)(06)
3rd row닭볶음탕(05)(06)(15)
4th row조미김
5th row오이무침
ValueCountFrequency (%)
배추김치(7~9월 25
 
13.6%
밥 17
 
9.2%
조미김 6
 
3.3%
잡곡밥 4
 
2.2%
아이스크림 3
 
1.6%
모듬야채(쌈장)(05)(06 3
 
1.6%
팩형(02 3
 
1.6%
계란찜(01)(09 3
 
1.6%
깍두기(완제품)(09 3
 
1.6%
표고버섯돼지고기볶음(05)(06)(10 3
 
1.6%
Other values (93) 114
62.0%
2023-12-13T01:30:07.764625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 253
 
13.3%
) 253
 
13.3%
0 188
 
9.9%
5 76
 
4.0%
6 75
 
3.9%
1 63
 
3.3%
김 44
 
2.3%
추 36
 
1.9%
치 36
 
1.9%
9 35
 
1.8%
Other values (178) 847
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 853
44.8%
Decimal Number 488
25.6%
Open Punctuation 253
 
13.3%
Close Punctuation 253
 
13.3%
Math Symbol 25
 
1.3%
Other Punctuation 14
 
0.7%
Space Separator 10
 
0.5%
Lowercase Letter 5
 
0.3%
Other Symbol 3
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 44
 
5.2%
추 36
 
4.2%
치 36
 
4.2%
밥 30
 
3.5%
배 29
 
3.4%
고 29
 
3.4%
월 25
 
2.9%
기 22
 
2.6%
볶 17
 
2.0%
음 17
 
2.0%
Other values (156) 568
66.6%
Decimal Number
ValueCountFrequency (%)
0 188
38.5%
5 76
15.6%
6 75
 
15.4%
1 63
 
12.9%
9 35
 
7.2%
7 31
 
6.4%
2 10
 
2.0%
3 4
 
0.8%
8 3
 
0.6%
4 3
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
40.0%
m 2
40.0%
g 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
50.0%
, 7
50.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
M 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 253
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1046
54.9%
Hangul 853
44.8%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 44
 
5.2%
추 36
 
4.2%
치 36
 
4.2%
밥 30
 
3.5%
배 29
 
3.4%
고 29
 
3.4%
월 25
 
2.9%
기 22
 
2.6%
볶 17
 
2.0%
음 17
 
2.0%
Other values (156) 568
66.6%
Common
ValueCountFrequency (%)
( 253
24.2%
) 253
24.2%
0 188
18.0%
5 76
 
7.3%
6 75
 
7.2%
1 63
 
6.0%
9 35
 
3.3%
7 31
 
3.0%
~ 25
 
2.4%
10
 
1.0%
Other values (7) 37
 
3.5%
Latin
ValueCountFrequency (%)
l 2
28.6%
m 2
28.6%
g 1
14.3%
L 1
14.3%
M 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
55.1%
Hangul 853
44.8%
CJK Compat 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 253
24.1%
) 253
24.1%
0 188
17.9%
5 76
 
7.2%
6 75
 
7.1%
1 63
 
6.0%
9 35
 
3.3%
7 31
 
3.0%
~ 25
 
2.4%
10
 
1.0%
Other values (11) 41
 
3.9%
Hangul
ValueCountFrequency (%)
김 44
 
5.2%
추 36
 
4.2%
치 36
 
4.2%
밥 30
 
3.5%
배 29
 
3.4%
고 29
 
3.4%
월 25
 
2.9%
기 22
 
2.6%
볶 17
 
2.0%
음 17
 
2.0%
Other values (156) 568
66.6%
CJK Compat
ValueCountFrequency (%)
㎖ 3
100.0%

석식열량
Text

MISSING 

Distinct94
Distinct (%)54.0%
Missing14
Missing (%)7.4%
Memory size1.6 KiB
2023-12-13T01:30:08.105592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.4195402
Min length5

Characters and Unicode

Total characters1465
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

Unique66 ?
Unique (%)37.9%

Sample

1st row363kcal
2nd row64.45kcal
3rd row249.12kcal
4th row0kcal
5th row19.49kcal
ValueCountFrequency (%)
9.5kcal 25
 
14.4%
363kcal 17
 
9.8%
0kcal 6
 
3.4%
378.29kcal 4
 
2.3%
234kcal 3
 
1.7%
63.02kcal 3
 
1.7%
88.49kcal 3
 
1.7%
26kcal 3
 
1.7%
15.2kcal 3
 
1.7%
19.49kcal 3
 
1.7%
Other values (84) 104
59.8%
2023-12-13T01:30:08.561133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 174
11.9%
c 174
11.9%
a 174
11.9%
l 174
11.9%
. 137
9.4%
3 87
 
5.9%
9 84
 
5.7%
2 71
 
4.8%
1 71
 
4.8%
6 67
 
4.6%
Other values (5) 252
17.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 696
47.5%
Decimal Number 632
43.1%
Other Punctuation 137
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 87
13.8%
9 84
13.3%
2 71
11.2%
1 71
11.2%
6 67
10.6%
5 66
10.4%
4 62
9.8%
7 47
7.4%
8 46
7.3%
0 31
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
k 174
25.0%
c 174
25.0%
a 174
25.0%
l 174
25.0%
Other Punctuation
ValueCountFrequency (%)
. 137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 769
52.5%
Latin 696
47.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 137
17.8%
3 87
11.3%
9 84
10.9%
2 71
9.2%
1 71
9.2%
6 67
8.7%
5 66
8.6%
4 62
8.1%
7 47
 
6.1%
8 46
 
6.0%
Latin
ValueCountFrequency (%)
k 174
25.0%
c 174
25.0%
a 174
25.0%
l 174
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 174
11.9%
c 174
11.9%
a 174
11.9%
l 174
11.9%
. 137
9.4%
3 87
 
5.9%
9 84
 
5.7%
2 71
 
4.8%
1 71
 
4.8%
6 67
 
4.6%
Other values (5) 252
17.2%

열량합계
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2638.14kcal
 
8
2710.51kcal
 
7
2892.68kcal
 
7
2735.65kcal
 
7
2804.72kcal
 
7
Other values (26)
152 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2644.15kcal
2nd row2644.15kcal
3rd row2644.15kcal
4th row2644.15kcal
5th row2644.15kcal

Common Values

ValueCountFrequency (%)
2638.14kcal 8
 
4.3%
2710.51kcal 7
 
3.7%
2892.68kcal 7
 
3.7%
2735.65kcal 7
 
3.7%
2804.72kcal 7
 
3.7%
3077.31kcal 7
 
3.7%
2644.15kcal 7
 
3.7%
2432.07kcal 6
 
3.2%
3283.23kcal 6
 
3.2%
3110.33kcal 6
 
3.2%
Other values (21) 120
63.8%

Length

2023-12-13T01:30:08.730585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2638.14kcal 8
 
4.3%
2892.68kcal 7
 
3.7%
2735.65kcal 7
 
3.7%
2804.72kcal 7
 
3.7%
3077.31kcal 7
 
3.7%
2644.15kcal 7
 
3.7%
2710.51kcal 7
 
3.7%
2806.88kcal 6
 
3.2%
3241.07kcal 6
 
3.2%
2866.54kcal 6
 
3.2%
Other values (21) 120
63.8%

Correlations

2023-12-13T01:30:08.815229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량중식중식열량석식석식열량열량합계
날짜1.0000.0000.0780.0000.0000.3540.4341.000
조식0.0001.0001.0000.9480.9440.9780.9770.000
조식열량0.0781.0001.0000.9580.9550.9740.9730.078
중식0.0000.9480.9581.0001.0000.9620.9620.000
중식열량0.0000.9440.9551.0001.0000.9550.9550.000
석식0.3540.9780.9740.9620.9551.0001.0000.354
석식열량0.4340.9770.9730.9620.9551.0001.0000.434
열량합계1.0000.0000.0780.0000.0000.3540.4341.000
2023-12-13T01:30:08.954587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000
2023-12-13T01:30:09.036284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000

Missing values

2023-12-13T01:30:03.806033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:30:03.938808image/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.
2023-12-13T01:30:04.061119image/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
02021-08-01김치덮밥(05)(06)(10)622.14kcal찰보리밥386.7kcal밥363kcal2644.15kcal
12021-08-01쇠고기무국(05)(16)43.12kcal감자양파찌개(05)(06)68.91kcal생선묵국(05)(06)64.45kcal2644.15kcal
22021-08-01순두부양념장(05)(06)61.27kcal새송이버섯야채볶음(05)(06)51.27kcal닭볶음탕(05)(06)(15)249.12kcal2644.15kcal
32021-08-01깍두기(완제품)(09)15.2kcal쇠고기불고기(05)(06)(16)309.48kcal조미김0kcal2644.15kcal
42021-08-01우유(백색우유(200ML,연간))(02)122kcal배추김치(7~9월)9.5kcal오이무침19.49kcal2644.15kcal
52021-08-01<NA><NA><NA><NA>배추김치(7~9월)9.5kcal2644.15kcal
62021-08-01<NA><NA><NA><NA>건빵(야채맛)249kcal2644.15kcal
72021-08-02밥363kcal잡곡밥378.29kcal밥363kcal2638.14kcal
82021-08-02버섯쇠고기찌개(05)(06)(16)96.02kcal생선묵국(05)(06)64.45kcal감자양파찌개(05)(06)68.91kcal2638.14kcal
92021-08-02햄야채볶음(01)(10)145.49kcal오이파프리카무침(05)(06)12.32kcal표고버섯돼지고기볶음(05)(06)(10)405.77kcal2638.14kcal
날짜조식조식열량중식중식열량석식석식열량열량합계
1782021-08-30풋고추된장무침(05)(06)33.35kcal생선가스(01)(06)498.4kcal생선묵볶음(05)(06)129.62kcal3241.07kcal
1792021-08-30배추겉절이(09)26.3kcal오이고추장무침(06)21.71kcal매운소갈비찜(05)(06)(16)481.27kcal3241.07kcal
1802021-08-30깍두기(완제품)(09)15.2kcal깍두기(완제품)(09)15.2kcal배추김치(7~9월)9.5kcal3241.07kcal
1812021-08-30<NA><NA>우유(백색우유(200ML,연간))(02)122kcal반건조고구마218.4kcal3241.07kcal
1822021-08-31밥363kcal비빔냉면(03)(06)906.4kcal찰보리밥386.7kcal3283.23kcal
1832021-08-31돼지고기김치찌개(05)(06)(10)76.44kcal돼지불고기(05)(06)(10)423.74kcal명태매운탕(05)(06)112.06kcal3283.23kcal
1842021-08-31버섯호박볶음(05)(06)(09)45.81kcal삶은계란(01)70.28kcal비엔나소시지야채볶음(10)(12)187.97kcal3283.23kcal
1852021-08-31닭고기야채조림(05)(06)(15)245.84kcal열무김치12.8kcal오이무침19.49kcal3283.23kcal
1862021-08-31깍두기(완제품)(09)15.2kcal초콜릿(3사교)286kcal배추김치(7~9월)9.5kcal3283.23kcal
1872021-08-31우유(백색우유(200ML,연간))(02)122kcal<NA><NA><NA><NA>3283.23kcal