Overview

Dataset statistics

Number of variables8
Number of observations189
Missing cells138
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory64.7 B

Variable types

Categorical2
Text6

Dataset

Description제5322부대의 식단정보입니다. 월간 표준식단 자료로서 날짜별 조식, 중식, 석식 식단과 식단별 열량 자료를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069414/fileData.do

Alerts

날짜 is highly overall correlated with 열량합계High correlation
열량합계 is highly overall correlated with 날짜High correlation
조식 has 22 (11.6%) missing valuesMissing
조식열량 has 22 (11.6%) missing valuesMissing
중식 has 21 (11.1%) missing valuesMissing
중식열량 has 21 (11.1%) missing valuesMissing
석식 has 26 (13.8%) missing valuesMissing
석식열량 has 26 (13.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:42:34.643666
Analysis finished2023-12-12 20:42:36.157737
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2021-08-06
 
7
2021-08-26
 
7
2021-08-23
 
7
2021-08-21
 
7
2021-08-20
 
7
Other values (26)
154 

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 (%)
2021-08-06 7
 
3.7%
2021-08-26 7
 
3.7%
2021-08-23 7
 
3.7%
2021-08-21 7
 
3.7%
2021-08-20 7
 
3.7%
2021-08-02 7
 
3.7%
2021-08-07 7
 
3.7%
2021-08-10 6
 
3.2%
2021-08-13 6
 
3.2%
2021-08-12 6
 
3.2%
Other values (21) 122
64.6%

Length

2023-12-13T05:42:36.224551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-06 7
 
3.7%
2021-08-23 7
 
3.7%
2021-08-21 7
 
3.7%
2021-08-20 7
 
3.7%
2021-08-02 7
 
3.7%
2021-08-07 7
 
3.7%
2021-08-26 7
 
3.7%
2021-08-27 6
 
3.2%
2021-08-22 6
 
3.2%
2021-08-24 6
 
3.2%
Other values (21) 122
64.6%

조식
Text

MISSING 

Distinct62
Distinct (%)37.1%
Missing22
Missing (%)11.6%
Memory size1.6 KiB
2023-12-13T05:42:36.530276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length12.550898
Min length2

Characters and Unicode

Total characters2096
Distinct characters166
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

Unique34 ?
Unique (%)20.4%

Sample

1st row밥1
2nd row쇠고기미역국(05)(16)
3rd row돼지고기김치볶음(06)(10)
4th row두부양념장(05)(06)
5th row우유(백색우유(200ML,연간))(02)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 21
 
11.8%
밥1 17
 
9.6%
배추김치(7~9월 14
 
7.9%
맛김 8
 
4.5%
깍두기(완제품)(09 6
 
3.4%
쇠고기미역국(05)(16 6
 
3.4%
오징어젓무침(17 6
 
3.4%
감귤 5
 
2.8%
주스(180㎖/병 5
 
2.8%
쇠고기버섯볶음(05)(06)(16 4
 
2.2%
Other values (58) 86
48.3%
2023-12-13T05:42:37.062154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 278
 
13.3%
( 278
 
13.3%
0 211
 
10.1%
1 100
 
4.8%
6 66
 
3.1%
2 61
 
2.9%
5 51
 
2.4%
우 42
 
2.0%
유 42
 
2.0%
김 32
 
1.5%
Other values (156) 935
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 901
43.0%
Decimal Number 539
25.7%
Close Punctuation 278
 
13.3%
Open Punctuation 278
 
13.3%
Uppercase Letter 42
 
2.0%
Other Punctuation 28
 
1.3%
Math Symbol 14
 
0.7%
Space Separator 11
 
0.5%
Other Symbol 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 42
 
4.7%
유 42
 
4.7%
김 32
 
3.6%
기 31
 
3.4%
고 26
 
2.9%
치 25
 
2.8%
간 25
 
2.8%
밥 24
 
2.7%
음 23
 
2.6%
연 22
 
2.4%
Other values (138) 609
67.6%
Decimal Number
ValueCountFrequency (%)
0 211
39.1%
1 100
18.6%
6 66
 
12.2%
2 61
 
11.3%
5 51
 
9.5%
7 23
 
4.3%
9 20
 
3.7%
8 6
 
1.1%
3 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 23
82.1%
/ 5
 
17.9%
Uppercase Letter
ValueCountFrequency (%)
L 21
50.0%
M 21
50.0%
Close Punctuation
ValueCountFrequency (%)
) 278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 278
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1153
55.0%
Hangul 901
43.0%
Latin 42
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 42
 
4.7%
유 42
 
4.7%
김 32
 
3.6%
기 31
 
3.4%
고 26
 
2.9%
치 25
 
2.8%
간 25
 
2.8%
밥 24
 
2.7%
음 23
 
2.6%
연 22
 
2.4%
Other values (138) 609
67.6%
Common
ValueCountFrequency (%)
) 278
24.1%
( 278
24.1%
0 211
18.3%
1 100
 
8.7%
6 66
 
5.7%
2 61
 
5.3%
5 51
 
4.4%
7 23
 
2.0%
, 23
 
2.0%
9 20
 
1.7%
Other values (6) 42
 
3.6%
Latin
ValueCountFrequency (%)
L 21
50.0%
M 21
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1190
56.8%
Hangul 901
43.0%
CJK Compat 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 278
23.4%
( 278
23.4%
0 211
17.7%
1 100
 
8.4%
6 66
 
5.5%
2 61
 
5.1%
5 51
 
4.3%
7 23
 
1.9%
, 23
 
1.9%
L 21
 
1.8%
Other values (7) 78
 
6.6%
Hangul
ValueCountFrequency (%)
우 42
 
4.7%
유 42
 
4.7%
김 32
 
3.6%
기 31
 
3.4%
고 26
 
2.9%
치 25
 
2.8%
간 25
 
2.8%
밥 24
 
2.7%
음 23
 
2.6%
연 22
 
2.4%
Other values (138) 609
67.6%
CJK Compat
ValueCountFrequency (%)
㎖ 5
100.0%

조식열량
Text

MISSING 

Distinct62
Distinct (%)37.1%
Missing22
Missing (%)11.6%
Memory size1.6 KiB
2023-12-13T05:42:37.337556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.6227545
Min length5

Characters and Unicode

Total characters1440
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

Unique34 ?
Unique (%)20.4%

Sample

1st row355.74kcal
2nd row34.98kcal
3rd row228.72kcal
4th row108.32kcal
5th row122kcal
ValueCountFrequency (%)
122kcal 21
 
12.6%
355.74kcal 17
 
10.2%
10.5kcal 14
 
8.4%
0kcal 8
 
4.8%
15.2kcal 6
 
3.6%
34.98kcal 6
 
3.6%
28.65kcal 6
 
3.6%
180kcal 5
 
3.0%
106.51kcal 4
 
2.4%
66.58kcal 3
 
1.8%
Other values (52) 77
46.1%
2023-12-13T05:42:37.851640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 167
11.6%
c 167
11.6%
a 167
11.6%
l 167
11.6%
. 126
8.8%
2 102
7.1%
1 101
7.0%
5 100
6.9%
3 62
 
4.3%
4 56
 
3.9%
Other values (5) 225
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 668
46.4%
Decimal Number 646
44.9%
Other Punctuation 126
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 102
15.8%
1 101
15.6%
5 100
15.5%
3 62
9.6%
4 56
8.7%
8 52
8.0%
6 50
7.7%
7 45
7.0%
0 45
7.0%
9 33
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
k 167
25.0%
c 167
25.0%
a 167
25.0%
l 167
25.0%
Other Punctuation
ValueCountFrequency (%)
. 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 772
53.6%
Latin 668
46.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 126
16.3%
2 102
13.2%
1 101
13.1%
5 100
13.0%
3 62
8.0%
4 56
7.3%
8 52
6.7%
6 50
 
6.5%
7 45
 
5.8%
0 45
 
5.8%
Latin
ValueCountFrequency (%)
k 167
25.0%
c 167
25.0%
a 167
25.0%
l 167
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 167
11.6%
c 167
11.6%
a 167
11.6%
l 167
11.6%
. 126
8.8%
2 102
7.1%
1 101
7.0%
5 100
6.9%
3 62
 
4.3%
4 56
 
3.9%
Other values (5) 225
15.6%

중식
Text

MISSING 

Distinct91
Distinct (%)54.2%
Missing21
Missing (%)11.1%
Memory size1.6 KiB
2023-12-13T05:42:38.170979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length11.505952
Min length1

Characters and Unicode

Total characters1933
Distinct characters200
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)34.5%

Sample

1st row밥
2nd row닭볶음탕(06)(15)
3rd row꽈리고추멸치볶음
4th row소시지야채볶음(10)
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 13
 
7.5%
우유(백색우유(200ml,연간))(02 10
 
5.7%
열무김치 8
 
4.6%
잡곡밥 7
 
4.0%
밥 7
 
4.0%
흑미밥 5
 
2.9%
수박 4
 
2.3%
호박된장찌개(05)(06)(16 3
 
1.7%
김치찌개(기타)(05)(06)(10 3
 
1.7%
계란후라이(01 3
 
1.7%
Other values (85) 111
63.8%
2023-12-13T05:42:38.690159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 266
 
13.8%
) 266
 
13.8%
0 198
 
10.2%
6 81
 
4.2%
1 76
 
3.9%
5 71
 
3.7%
치 38
 
2.0%
김 35
 
1.8%
밥 28
 
1.4%
2 27
 
1.4%
Other values (190) 847
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 843
43.6%
Decimal Number 497
25.7%
Open Punctuation 266
 
13.8%
Close Punctuation 266
 
13.8%
Other Punctuation 20
 
1.0%
Uppercase Letter 20
 
1.0%
Math Symbol 15
 
0.8%
Space Separator 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 38
 
4.5%
김 35
 
4.2%
밥 28
 
3.3%
우 22
 
2.6%
채 22
 
2.6%
유 21
 
2.5%
추 21
 
2.5%
기 20
 
2.4%
무 19
 
2.3%
음 17
 
2.0%
Other values (172) 600
71.2%
Decimal Number
ValueCountFrequency (%)
0 198
39.8%
6 81
16.3%
1 76
 
15.3%
5 71
 
14.3%
2 27
 
5.4%
9 21
 
4.2%
7 18
 
3.6%
3 3
 
0.6%
8 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
＆ 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 13
86.7%
∼ 2
 
13.3%
Uppercase Letter
ValueCountFrequency (%)
M 10
50.0%
L 10
50.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1070
55.4%
Hangul 843
43.6%
Latin 20
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 38
 
4.5%
김 35
 
4.2%
밥 28
 
3.3%
우 22
 
2.6%
채 22
 
2.6%
유 21
 
2.5%
추 21
 
2.5%
기 20
 
2.4%
무 19
 
2.3%
음 17
 
2.0%
Other values (172) 600
71.2%
Common
ValueCountFrequency (%)
( 266
24.9%
) 266
24.9%
0 198
18.5%
6 81
 
7.6%
1 76
 
7.1%
5 71
 
6.6%
2 27
 
2.5%
9 21
 
2.0%
, 19
 
1.8%
7 18
 
1.7%
Other values (6) 27
 
2.5%
Latin
ValueCountFrequency (%)
M 10
50.0%
L 10
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1087
56.2%
Hangul 843
43.6%
Math Operators 2
 
0.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 266
24.5%
) 266
24.5%
0 198
18.2%
6 81
 
7.5%
1 76
 
7.0%
5 71
 
6.5%
2 27
 
2.5%
9 21
 
1.9%
, 19
 
1.7%
7 18
 
1.7%
Other values (6) 44
 
4.0%
Hangul
ValueCountFrequency (%)
치 38
 
4.5%
김 35
 
4.2%
밥 28
 
3.3%
우 22
 
2.6%
채 22
 
2.6%
유 21
 
2.5%
추 21
 
2.5%
기 20
 
2.4%
무 19
 
2.3%
음 17
 
2.0%
Other values (172) 600
71.2%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

중식열량
Text

MISSING 

Distinct91
Distinct (%)54.2%
Missing21
Missing (%)11.1%
Memory size1.6 KiB
2023-12-13T05:42:39.065677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.047619
Min length6

Characters and Unicode

Total characters1520
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

Unique58 ?
Unique (%)34.5%

Sample

1st row381.15kcal
2nd row288.38kcal
3rd row101.99kcal
4th row222.61kcal
5th row10.5kcal
ValueCountFrequency (%)
10.5kcal 13
 
7.7%
122kcal 10
 
6.0%
11.2kcal 8
 
4.8%
381.15kcal 7
 
4.2%
363.18kcal 7
 
4.2%
379.88kcal 5
 
3.0%
88.32kcal 4
 
2.4%
97.91kcal 3
 
1.8%
164.98kcal 3
 
1.8%
135.04kcal 3
 
1.8%
Other values (81) 105
62.5%
2023-12-13T05:42:39.913502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 168
11.1%
c 168
11.1%
a 168
11.1%
l 168
11.1%
. 147
9.7%
1 131
8.6%
2 88
 
5.8%
5 87
 
5.7%
8 84
 
5.5%
3 74
 
4.9%
Other values (5) 237
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 701
46.1%
Lowercase Letter 672
44.2%
Other Punctuation 147
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 131
18.7%
2 88
12.6%
5 87
12.4%
8 84
12.0%
3 74
10.6%
9 50
 
7.1%
0 48
 
6.8%
4 48
 
6.8%
6 47
 
6.7%
7 44
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
k 168
25.0%
c 168
25.0%
a 168
25.0%
l 168
25.0%
Other Punctuation
ValueCountFrequency (%)
. 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 848
55.8%
Latin 672
44.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 147
17.3%
1 131
15.4%
2 88
10.4%
5 87
10.3%
8 84
9.9%
3 74
8.7%
9 50
 
5.9%
0 48
 
5.7%
4 48
 
5.7%
6 47
 
5.5%
Latin
ValueCountFrequency (%)
k 168
25.0%
c 168
25.0%
a 168
25.0%
l 168
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 168
11.1%
c 168
11.1%
a 168
11.1%
l 168
11.1%
. 147
9.7%
1 131
8.6%
2 88
 
5.8%
5 87
 
5.7%
8 84
 
5.5%
3 74
 
4.9%
Other values (5) 237
15.6%

석식
Text

MISSING 

Distinct82
Distinct (%)50.3%
Missing26
Missing (%)13.8%
Memory size1.6 KiB
2023-12-13T05:42:40.210765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length11.638037
Min length1

Characters and Unicode

Total characters1897
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)30.7%

Sample

1st row밥
2nd row배추된장국(05)(16)
3rd row베이컨청경채볶음(10)
4th row오징어볶음(05)(06)(17)
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 16
 
9.4%
밥 10
 
5.8%
잡곡밥 9
 
5.3%
깍두기(완제품)(09 8
 
4.7%
감귤 6
 
3.5%
주스(180㎖/병 6
 
3.5%
오징어볶음(05)(06)(17 4
 
2.3%
콩나물국(05)(09 4
 
2.3%
콩나물매운무침(05 3
 
1.8%
우유(백색우유(200ml,연간))(02 3
 
1.8%
Other values (74) 102
59.6%
2023-12-13T05:42:40.631052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 265
 
14.0%
) 265
 
14.0%
0 200
 
10.5%
1 84
 
4.4%
5 82
 
4.3%
6 71
 
3.7%
김 32
 
1.7%
밥 31
 
1.6%
9 30
 
1.6%
치 29
 
1.5%
Other values (163) 808
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
42.6%
Decimal Number 510
26.9%
Open Punctuation 265
 
14.0%
Close Punctuation 265
 
14.0%
Math Symbol 17
 
0.9%
Other Punctuation 11
 
0.6%
Space Separator 8
 
0.4%
Other Symbol 6
 
0.3%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 32
 
4.0%
밥 31
 
3.8%
치 29
 
3.6%
추 28
 
3.5%
기 27
 
3.3%
배 21
 
2.6%
볶 20
 
2.5%
고 20
 
2.5%
음 20
 
2.5%
월 17
 
2.1%
Other values (145) 564
69.7%
Decimal Number
ValueCountFrequency (%)
0 200
39.2%
1 84
16.5%
5 82
16.1%
6 71
 
13.9%
9 30
 
5.9%
7 21
 
4.1%
2 15
 
2.9%
8 7
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 16
94.1%
∼ 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 6
54.5%
, 5
45.5%
Uppercase Letter
ValueCountFrequency (%)
M 3
50.0%
L 3
50.0%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1082
57.0%
Hangul 809
42.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 32
 
4.0%
밥 31
 
3.8%
치 29
 
3.6%
추 28
 
3.5%
기 27
 
3.3%
배 21
 
2.6%
볶 20
 
2.5%
고 20
 
2.5%
음 20
 
2.5%
월 17
 
2.1%
Other values (145) 564
69.7%
Common
ValueCountFrequency (%)
( 265
24.5%
) 265
24.5%
0 200
18.5%
1 84
 
7.8%
5 82
 
7.6%
6 71
 
6.6%
9 30
 
2.8%
7 21
 
1.9%
~ 16
 
1.5%
2 15
 
1.4%
Other values (6) 33
 
3.0%
Latin
ValueCountFrequency (%)
M 3
50.0%
L 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1081
57.0%
Hangul 809
42.6%
CJK Compat 6
 
0.3%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 265
24.5%
) 265
24.5%
0 200
18.5%
1 84
 
7.8%
5 82
 
7.6%
6 71
 
6.6%
9 30
 
2.8%
7 21
 
1.9%
~ 16
 
1.5%
2 15
 
1.4%
Other values (6) 32
 
3.0%
Hangul
ValueCountFrequency (%)
김 32
 
4.0%
밥 31
 
3.8%
치 29
 
3.6%
추 28
 
3.5%
기 27
 
3.3%
배 21
 
2.6%
볶 20
 
2.5%
고 20
 
2.5%
음 20
 
2.5%
월 17
 
2.1%
Other values (145) 564
69.7%
CJK Compat
ValueCountFrequency (%)
㎖ 6
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

석식열량
Text

MISSING 

Distinct82
Distinct (%)50.3%
Missing26
Missing (%)13.8%
Memory size1.6 KiB
2023-12-13T05:42:40.913683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.0797546
Min length5

Characters and Unicode

Total characters1480
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

Unique50 ?
Unique (%)30.7%

Sample

1st row381.15kcal
2nd row52.21kcal
3rd row106.4kcal
4th row216.81kcal
5th row10.5kcal
ValueCountFrequency (%)
10.5kcal 16
 
9.8%
381.15kcal 10
 
6.1%
363.18kcal 9
 
5.5%
15.2kcal 8
 
4.9%
180kcal 6
 
3.7%
216.81kcal 4
 
2.5%
12.86kcal 4
 
2.5%
43.81kcal 3
 
1.8%
122kcal 3
 
1.8%
37.29kcal 3
 
1.8%
Other values (72) 97
59.5%
2023-12-13T05:42:41.371731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 163
11.0%
c 163
11.0%
a 163
11.0%
l 163
11.0%
. 148
10.0%
1 125
8.4%
8 88
 
5.9%
5 86
 
5.8%
3 83
 
5.6%
2 76
 
5.1%
Other values (5) 222
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 680
45.9%
Lowercase Letter 652
44.1%
Other Punctuation 148
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 125
18.4%
8 88
12.9%
5 86
12.6%
3 83
12.2%
2 76
11.2%
6 60
8.8%
0 50
 
7.4%
4 42
 
6.2%
7 38
 
5.6%
9 32
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
k 163
25.0%
c 163
25.0%
a 163
25.0%
l 163
25.0%
Other Punctuation
ValueCountFrequency (%)
. 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 828
55.9%
Latin 652
44.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 148
17.9%
1 125
15.1%
8 88
10.6%
5 86
10.4%
3 83
10.0%
2 76
9.2%
6 60
7.2%
0 50
 
6.0%
4 42
 
5.1%
7 38
 
4.6%
Latin
ValueCountFrequency (%)
k 163
25.0%
c 163
25.0%
a 163
25.0%
l 163
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 163
11.0%
c 163
11.0%
a 163
11.0%
l 163
11.0%
. 148
10.0%
1 125
8.4%
8 88
 
5.9%
5 86
 
5.8%
3 83
 
5.6%
2 76
 
5.1%
Other values (5) 222
15.0%

열량합계
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3029.78kcal
 
7
3716.98kcal
 
7
2587.10kcal
 
7
2958.30kcal
 
7
2794.15kcal
 
7
Other values (26)
154 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2873.46kcal
2nd row2873.46kcal
3rd row2873.46kcal
4th row2873.46kcal
5th row2873.46kcal

Common Values

ValueCountFrequency (%)
3029.78kcal 7
 
3.7%
3716.98kcal 7
 
3.7%
2587.10kcal 7
 
3.7%
2958.30kcal 7
 
3.7%
2794.15kcal 7
 
3.7%
3398.56kcal 7
 
3.7%
3159.56kcal 7
 
3.7%
3321.83kcal 6
 
3.2%
3004.38kcal 6
 
3.2%
2912.57kcal 6
 
3.2%
Other values (21) 122
64.6%

Length

2023-12-13T05:42:41.593637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3029.78kcal 7
 
3.7%
2587.10kcal 7
 
3.7%
2958.30kcal 7
 
3.7%
2794.15kcal 7
 
3.7%
3398.56kcal 7
 
3.7%
3159.56kcal 7
 
3.7%
3716.98kcal 7
 
3.7%
3147.01kcal 6
 
3.2%
3198.14kcal 6
 
3.2%
3138.53kcal 6
 
3.2%
Other values (21) 122
64.6%

Correlations

2023-12-13T05:42:41.695850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량중식중식열량석식석식열량열량합계
날짜1.0000.0000.0000.0000.0000.0000.0001.000
조식0.0001.0001.0000.8890.8890.9250.9250.000
조식열량0.0001.0001.0000.8890.8890.9250.9250.000
중식0.0000.8890.8891.0001.0000.9510.9510.000
중식열량0.0000.8890.8891.0001.0000.9510.9510.000
석식0.0000.9250.9250.9510.9511.0001.0000.000
석식열량0.0000.9250.9250.9510.9511.0001.0000.000
열량합계1.0000.0000.0000.0000.0000.0000.0001.000
2023-12-13T05:42:41.861304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000
2023-12-13T05:42:41.974083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜열량합계
날짜1.0001.000
열량합계1.0001.000

Missing values

2023-12-13T05:42:35.787109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:42:35.921427image/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.
2023-12-13T05:42:36.061245image/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
02021-08-01밥1355.74kcal밥381.15kcal밥381.15kcal2873.46kcal
12021-08-01쇠고기미역국(05)(16)34.98kcal닭볶음탕(06)(15)288.38kcal배추된장국(05)(16)52.21kcal2873.46kcal
22021-08-01돼지고기김치볶음(06)(10)228.72kcal꽈리고추멸치볶음101.99kcal베이컨청경채볶음(10)106.4kcal2873.46kcal
32021-08-01두부양념장(05)(06)108.32kcal소시지야채볶음(10)222.61kcal오징어볶음(05)(06)(17)216.81kcal2873.46kcal
42021-08-01우유(백색우유(200ML,연간))(02)122kcal배추김치(7~9월)10.5kcal배추김치(7~9월)10.5kcal2873.46kcal
52021-08-01<NA><NA>아이스크림 샌드위치(02)252kcal<NA><NA>2873.46kcal
62021-08-02밥1355.74kcal흑미밥379.88kcal밥381.15kcal3398.56kcal
72021-08-02쇠고기당면국(05)(16)44.54kcal짬뽕찌개(09)(17)84.35kcal닭고기육개장(01)(05)(15)169.86kcal3398.56kcal
82021-08-02햄슬라이스야채볶음(05)(06)(10)183.66kcal북경식탕수육 (05)(06)(10)566.95kcal쇠고기버섯볶음(05)(06)(16)106.51kcal3398.56kcal
92021-08-02모듬어묵조림(05)(06)97.1kcal단무지무침14.34kcal마파두부(05)(06)268.98kcal3398.56kcal
날짜조식조식열량중식중식열량석식석식열량열량합계
1792021-08-30꼬리곰탕548.43kcal깐풍기(05)(06)(15)384.92kcal가스오부시어묵탕(05)(06)54.23kcal3535.39kcal
1802021-08-30오징어젓무침(17)28.65kcal계란후라이(01)97.91kcal제육볶음(05)(06)(10)515.84kcal3535.39kcal
1812021-08-30야채스틱앤저염쌈장(05)(06)71.85kcal배추김치(7~9월)10.5kcal삼치순살튀김(05)(06)237.49kcal3535.39kcal
1822021-08-30깍두기(완제품)(09)15.2kcal우유(백색우유(200ML,연간))(02)122kcal배추김치(7~9월)10.5kcal3535.39kcal
1832021-08-30감귤 주스(180㎖/병)180kcal<NA><NA><NA><NA>3535.39kcal
1842021-08-31밥1355.74kcal새우버거(01)(06)(09)(12)730.15kcal달걀케첩볶음밥(01)(12)528.07kcal3019.86kcal
1852021-08-31감자수제비국(01)(05)(06)66.58kcal음료수,탄산,콜라117.5kcal감자짜글이(05)(06)(10)116.7kcal3019.86kcal
1862021-08-31두부김치(05)(10)280.17kcal우유(백색우유(200ML,연간))(02)122kcal데리야끼갈릭치킨(05)(06)(15)464.84kcal3019.86kcal
1872021-08-31맛김0kcal<NA><NA>배추김치(7~9월)10.5kcal3019.86kcal
1882021-08-31감귤 주스(180㎖/병)180kcal<NA><NA>포도,신선형(포도(8∼11월))47.61kcal3019.86kcal