Overview

Dataset statistics

Number of variables8
Number of observations174
Missing cells103
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory64.8 B

Variable types

DateTime1
Text6
Categorical1

Dataset

Description제7369부대의 식단정보입니다. 월간 표준식단 자료로서 날짜별 조식, 중식, 석식 식단과 식단별 열량 자료를 제공합니다.
Author국방부
URLhttps://www.data.go.kr/data/15069424/fileData.do

Alerts

조식 has 16 (9.2%) missing valuesMissing
조식열량 has 16 (9.2%) missing valuesMissing
중식 has 14 (8.0%) missing valuesMissing
중식열량 has 15 (8.6%) missing valuesMissing
석식 has 21 (12.1%) missing valuesMissing
증특식열량 has 21 (12.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:35:27.993117
Analysis finished2023-12-12 21:35:29.813948
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct31
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2021-08-01 00:00:00
Maximum2021-08-31 00:00:00
2023-12-13T06:35:29.864495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:29.982262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

조식
Text

MISSING 

Distinct77
Distinct (%)48.7%
Missing16
Missing (%)9.2%
Memory size1.5 KiB
2023-12-13T06:35:30.243436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length12.936709
Min length2

Characters and Unicode

Total characters2044
Distinct characters143
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)33.5%

Sample

1st row햄야채볶음밥(01)(05)(06)(10)
2nd row김치국(05)
3rd row콩나물삼색볶음(05)(06)
4th row깍두기(완제품)(09)
5th row우유(백색우유(200ML,연간))(02)
ValueCountFrequency (%)
우유(백색우유(200ml,연간))(02 21
 
13.3%
배추김치(7~9월 18
 
11.4%
밥1 11
 
7.0%
잡곡밥 5
 
3.2%
깍두기(완제품)(09 5
 
3.2%
스크램블에그(01)(12 5
 
3.2%
쇠고기미역국(05)(16 3
 
1.9%
비엔나소시지케찹볶음(10)(12 3
 
1.9%
열무김치 3
 
1.9%
김치볶음밥 3
 
1.9%
Other values (67) 81
51.3%
2023-12-13T06:35:30.598845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 282
 
13.8%
( 282
 
13.8%
0 224
 
11.0%
1 88
 
4.3%
5 65
 
3.2%
6 58
 
2.8%
2 58
 
2.8%
우 42
 
2.1%
유 42
 
2.1%
치 31
 
1.5%
Other values (133) 872
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 855
41.8%
Decimal Number 542
26.5%
Close Punctuation 282
 
13.8%
Open Punctuation 282
 
13.8%
Uppercase Letter 42
 
2.1%
Other Punctuation 23
 
1.1%
Math Symbol 18
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 42
 
4.9%
유 42
 
4.9%
치 31
 
3.6%
추 29
 
3.4%
김 27
 
3.2%
밥 26
 
3.0%
볶 25
 
2.9%
음 25
 
2.9%
고 23
 
2.7%
기 23
 
2.7%
Other values (119) 562
65.7%
Decimal Number
ValueCountFrequency (%)
0 224
41.3%
1 88
 
16.2%
5 65
 
12.0%
6 58
 
10.7%
2 58
 
10.7%
9 25
 
4.6%
7 22
 
4.1%
8 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 21
50.0%
L 21
50.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1147
56.1%
Hangul 855
41.8%
Latin 42
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 42
 
4.9%
유 42
 
4.9%
치 31
 
3.6%
추 29
 
3.4%
김 27
 
3.2%
밥 26
 
3.0%
볶 25
 
2.9%
음 25
 
2.9%
고 23
 
2.7%
기 23
 
2.7%
Other values (119) 562
65.7%
Common
ValueCountFrequency (%)
) 282
24.6%
( 282
24.6%
0 224
19.5%
1 88
 
7.7%
5 65
 
5.7%
6 58
 
5.1%
2 58
 
5.1%
9 25
 
2.2%
, 23
 
2.0%
7 22
 
1.9%
Other values (2) 20
 
1.7%
Latin
ValueCountFrequency (%)
M 21
50.0%
L 21
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1189
58.2%
Hangul 855
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 282
23.7%
( 282
23.7%
0 224
18.8%
1 88
 
7.4%
5 65
 
5.5%
6 58
 
4.9%
2 58
 
4.9%
9 25
 
2.1%
, 23
 
1.9%
7 22
 
1.9%
Other values (4) 62
 
5.2%
Hangul
ValueCountFrequency (%)
우 42
 
4.9%
유 42
 
4.9%
치 31
 
3.6%
추 29
 
3.4%
김 27
 
3.2%
밥 26
 
3.0%
볶 25
 
2.9%
음 25
 
2.9%
고 23
 
2.7%
기 23
 
2.7%
Other values (119) 562
65.7%

조식열량
Text

MISSING 

Distinct77
Distinct (%)48.7%
Missing16
Missing (%)9.2%
Memory size1.5 KiB
2023-12-13T06:35:30.816257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.3164557
Min length5

Characters and Unicode

Total characters1314
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

Unique53 ?
Unique (%)33.5%

Sample

1st row477.07kcal
2nd row28.59kcal
3rd row59.03kcal
4th row15.2kcal
5th row122kcal
ValueCountFrequency (%)
122kcal 21
 
13.3%
9kcal 18
 
11.4%
363kcal 11
 
7.0%
402.67kcal 5
 
3.2%
15.2kcal 5
 
3.2%
86.19kcal 5
 
3.2%
68.44kcal 3
 
1.9%
288.55kcal 3
 
1.9%
12.8kcal 3
 
1.9%
435.68kcal 3
 
1.9%
Other values (67) 81
51.3%
2023-12-13T06:35:31.121629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 158
12.0%
c 158
12.0%
a 158
12.0%
l 158
12.0%
. 108
8.2%
2 89
6.8%
1 85
6.5%
5 72
 
5.5%
3 60
 
4.6%
9 57
 
4.3%
Other values (5) 211
16.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 632
48.1%
Decimal Number 574
43.7%
Other Punctuation 108
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 89
15.5%
1 85
14.8%
5 72
12.5%
3 60
10.5%
9 57
9.9%
6 55
9.6%
8 47
8.2%
7 42
7.3%
4 38
6.6%
0 29
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
k 158
25.0%
c 158
25.0%
a 158
25.0%
l 158
25.0%
Other Punctuation
ValueCountFrequency (%)
. 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 682
51.9%
Latin 632
48.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 108
15.8%
2 89
13.0%
1 85
12.5%
5 72
10.6%
3 60
8.8%
9 57
8.4%
6 55
8.1%
8 47
6.9%
7 42
 
6.2%
4 38
 
5.6%
Latin
ValueCountFrequency (%)
k 158
25.0%
c 158
25.0%
a 158
25.0%
l 158
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 158
12.0%
c 158
12.0%
a 158
12.0%
l 158
12.0%
. 108
8.2%
2 89
6.8%
1 85
6.5%
5 72
 
5.5%
3 60
 
4.6%
9 57
 
4.3%
Other values (5) 211
16.1%

중식
Text

MISSING 

Distinct92
Distinct (%)57.5%
Missing14
Missing (%)8.0%
Memory size1.5 KiB
2023-12-13T06:35:31.326194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length11.55
Min length2

Characters and Unicode

Total characters1848
Distinct characters177
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

Unique64 ?
Unique (%)40.0%

Sample

1st row검은콩밥
2nd row버섯된장찌개(05)(06)(16)
3rd row닭갈비(05)(06)(15)
4th row오징어야채무침(06)(17)
5th row오이소박이
ValueCountFrequency (%)
배추김치(7~9월 12
 
7.4%
밥1 8
 
4.9%
열무김치 7
 
4.3%
우유(백색우유(200ml,연간))(02 7
 
4.3%
깍두기(완제품)(09 6
 
3.7%
잡곡밥 5
 
3.1%
된장찌개(05)(06)(18 4
 
2.5%
호박볶음(09 4
 
2.5%
오이부추무침(06 3
 
1.9%
가든샐러드(01 3
 
1.9%
Other values (83) 103
63.6%
2023-12-13T06:35:31.640279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 258
 
14.0%
( 258
 
14.0%
0 204
 
11.0%
1 83
 
4.5%
5 71
 
3.8%
6 65
 
3.5%
9 29
 
1.6%
밥 28
 
1.5%
치 28
 
1.5%
김 25
 
1.4%
Other values (167) 799
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
42.9%
Decimal Number 501
27.1%
Close Punctuation 258
 
14.0%
Open Punctuation 258
 
14.0%
Uppercase Letter 14
 
0.8%
Math Symbol 12
 
0.6%
Other Punctuation 10
 
0.5%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밥 28
 
3.5%
치 28
 
3.5%
김 25
 
3.2%
추 23
 
2.9%
기 20
 
2.5%
음 19
 
2.4%
이 18
 
2.3%
배 17
 
2.1%
우 17
 
2.1%
무 17
 
2.1%
Other values (151) 581
73.3%
Decimal Number
ValueCountFrequency (%)
0 204
40.7%
1 83
16.6%
5 71
 
14.2%
6 65
 
13.0%
9 29
 
5.8%
2 22
 
4.4%
7 19
 
3.8%
8 6
 
1.2%
3 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 7
50.0%
L 7
50.0%
Close Punctuation
ValueCountFrequency (%)
) 258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 258
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1041
56.3%
Hangul 793
42.9%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밥 28
 
3.5%
치 28
 
3.5%
김 25
 
3.2%
추 23
 
2.9%
기 20
 
2.5%
음 19
 
2.4%
이 18
 
2.3%
배 17
 
2.1%
우 17
 
2.1%
무 17
 
2.1%
Other values (151) 581
73.3%
Common
ValueCountFrequency (%)
) 258
24.8%
( 258
24.8%
0 204
19.6%
1 83
 
8.0%
5 71
 
6.8%
6 65
 
6.2%
9 29
 
2.8%
2 22
 
2.1%
7 19
 
1.8%
~ 12
 
1.2%
Other values (4) 20
 
1.9%
Latin
ValueCountFrequency (%)
M 7
50.0%
L 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1055
57.1%
Hangul 793
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 258
24.5%
( 258
24.5%
0 204
19.3%
1 83
 
7.9%
5 71
 
6.7%
6 65
 
6.2%
9 29
 
2.7%
2 22
 
2.1%
7 19
 
1.8%
~ 12
 
1.1%
Other values (6) 34
 
3.2%
Hangul
ValueCountFrequency (%)
밥 28
 
3.5%
치 28
 
3.5%
김 25
 
3.2%
추 23
 
2.9%
기 20
 
2.5%
음 19
 
2.4%
이 18
 
2.3%
배 17
 
2.1%
우 17
 
2.1%
무 17
 
2.1%
Other values (151) 581
73.3%

중식열량
Text

MISSING 

Distinct91
Distinct (%)57.2%
Missing15
Missing (%)8.6%
Memory size1.5 KiB
2023-12-13T06:35:31.871645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.572327
Min length5

Characters and Unicode

Total characters1363
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

Unique63 ?
Unique (%)39.6%

Sample

1st row383.65kcal
2nd row75.29kcal
3rd row230.21kcal
4th row116.98kcal
5th row20.35kcal
ValueCountFrequency (%)
9kcal 12
 
7.5%
363kcal 8
 
5.0%
12.8kcal 7
 
4.4%
122kcal 7
 
4.4%
15.2kcal 6
 
3.8%
402.67kcal 5
 
3.1%
91.8kcal 4
 
2.5%
55.6kcal 4
 
2.5%
25.23kcal 3
 
1.9%
373.41kcal 3
 
1.9%
Other values (81) 100
62.9%
2023-12-13T06:35:32.198354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 159
11.7%
c 159
11.7%
a 159
11.7%
l 159
11.7%
. 128
9.4%
2 97
7.1%
3 85
 
6.2%
1 73
 
5.4%
5 65
 
4.8%
4 52
 
3.8%
Other values (5) 227
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 636
46.7%
Decimal Number 599
43.9%
Other Punctuation 128
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 97
16.2%
3 85
14.2%
1 73
12.2%
5 65
10.9%
4 52
8.7%
7 51
8.5%
9 49
8.2%
6 48
8.0%
8 44
7.3%
0 35
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
k 159
25.0%
c 159
25.0%
a 159
25.0%
l 159
25.0%
Other Punctuation
ValueCountFrequency (%)
. 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 727
53.3%
Latin 636
46.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 128
17.6%
2 97
13.3%
3 85
11.7%
1 73
10.0%
5 65
8.9%
4 52
7.2%
7 51
 
7.0%
9 49
 
6.7%
6 48
 
6.6%
8 44
 
6.1%
Latin
ValueCountFrequency (%)
k 159
25.0%
c 159
25.0%
a 159
25.0%
l 159
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 159
11.7%
c 159
11.7%
a 159
11.7%
l 159
11.7%
. 128
9.4%
2 97
7.1%
3 85
 
6.2%
1 73
 
5.4%
5 65
 
4.8%
4 52
 
3.8%
Other values (5) 227
16.7%

석식
Text

MISSING 

Distinct95
Distinct (%)62.1%
Missing21
Missing (%)12.1%
Memory size1.5 KiB
2023-12-13T06:35:32.394842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length11.03268
Min length2

Characters and Unicode

Total characters1688
Distinct characters171
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

Unique69 ?
Unique (%)45.1%

Sample

1st row밥1
2nd row감자양파찌개(05)(06)
3rd row제육볶음(05)(06)(10)
4th row단무지무침
5th row배추김치(7~9월)
ValueCountFrequency (%)
배추김치(7~9월 14
 
9.0%
밥1 12
 
7.7%
잡곡밥 5
 
3.2%
깍두기(완제품)(09 4
 
2.6%
감자양파찌개(05)(06 4
 
2.6%
단무지무침 4
 
2.6%
열무김치 3
 
1.9%
오이소박이 2
 
1.3%
두부조림(05)(06 2
 
1.3%
부추겉절이(05)(06 2
 
1.3%
Other values (87) 104
66.7%
2023-12-13T06:35:32.840574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 232
 
13.7%
) 232
 
13.7%
0 185
 
11.0%
1 77
 
4.6%
6 71
 
4.2%
5 68
 
4.0%
치 33
 
2.0%
김 29
 
1.7%
밥 29
 
1.7%
9 26
 
1.5%
Other values (161) 706
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 731
43.3%
Decimal Number 464
27.5%
Open Punctuation 232
 
13.7%
Close Punctuation 232
 
13.7%
Math Symbol 14
 
0.8%
Uppercase Letter 8
 
0.5%
Other Punctuation 4
 
0.2%
Space Separator 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 33
 
4.5%
김 29
 
4.0%
밥 29
 
4.0%
추 25
 
3.4%
무 21
 
2.9%
기 19
 
2.6%
고 16
 
2.2%
배 16
 
2.2%
음 15
 
2.1%
개 15
 
2.1%
Other values (146) 513
70.2%
Decimal Number
ValueCountFrequency (%)
0 185
39.9%
1 77
16.6%
6 71
 
15.3%
5 68
 
14.7%
9 26
 
5.6%
7 19
 
4.1%
2 16
 
3.4%
8 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
L 4
50.0%
M 4
50.0%
Open Punctuation
ValueCountFrequency (%)
( 232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 232
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 949
56.2%
Hangul 731
43.3%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 33
 
4.5%
김 29
 
4.0%
밥 29
 
4.0%
추 25
 
3.4%
무 21
 
2.9%
기 19
 
2.6%
고 16
 
2.2%
배 16
 
2.2%
음 15
 
2.1%
개 15
 
2.1%
Other values (146) 513
70.2%
Common
ValueCountFrequency (%)
( 232
24.4%
) 232
24.4%
0 185
19.5%
1 77
 
8.1%
6 71
 
7.5%
5 68
 
7.2%
9 26
 
2.7%
7 19
 
2.0%
2 16
 
1.7%
~ 14
 
1.5%
Other values (3) 9
 
0.9%
Latin
ValueCountFrequency (%)
L 4
50.0%
M 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 957
56.7%
Hangul 731
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 232
24.2%
) 232
24.2%
0 185
19.3%
1 77
 
8.0%
6 71
 
7.4%
5 68
 
7.1%
9 26
 
2.7%
7 19
 
2.0%
2 16
 
1.7%
~ 14
 
1.5%
Other values (5) 17
 
1.8%
Hangul
ValueCountFrequency (%)
치 33
 
4.5%
김 29
 
4.0%
밥 29
 
4.0%
추 25
 
3.4%
무 21
 
2.9%
기 19
 
2.6%
고 16
 
2.2%
배 16
 
2.2%
음 15
 
2.1%
개 15
 
2.1%
Other values (146) 513
70.2%

증특식열량
Text

MISSING 

Distinct95
Distinct (%)62.1%
Missing21
Missing (%)12.1%
Memory size1.5 KiB
2023-12-13T06:35:33.172485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.5294118
Min length5

Characters and Unicode

Total characters1305
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

Unique69 ?
Unique (%)45.1%

Sample

1st row363kcal
2nd row82.29kcal
3rd row416.02kcal
4th row23.2kcal
5th row9kcal
ValueCountFrequency (%)
9kcal 14
 
9.2%
363kcal 12
 
7.8%
402.67kcal 5
 
3.3%
15.2kcal 4
 
2.6%
82.29kcal 4
 
2.6%
23.2kcal 4
 
2.6%
12.8kcal 3
 
2.0%
554.45kcal 2
 
1.3%
126.15kcal 2
 
1.3%
26.24kcal 2
 
1.3%
Other values (85) 101
66.0%
2023-12-13T06:35:33.685118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 153
11.7%
c 153
11.7%
a 153
11.7%
l 153
11.7%
. 116
8.9%
2 89
6.8%
1 79
 
6.1%
3 76
 
5.8%
6 64
 
4.9%
5 61
 
4.7%
Other values (5) 208
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 612
46.9%
Decimal Number 577
44.2%
Other Punctuation 116
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 89
15.4%
1 79
13.7%
3 76
13.2%
6 64
11.1%
5 61
10.6%
9 56
9.7%
4 54
9.4%
7 40
6.9%
8 32
 
5.5%
0 26
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
k 153
25.0%
c 153
25.0%
a 153
25.0%
l 153
25.0%
Other Punctuation
ValueCountFrequency (%)
. 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 693
53.1%
Latin 612
46.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 116
16.7%
2 89
12.8%
1 79
11.4%
3 76
11.0%
6 64
9.2%
5 61
8.8%
9 56
8.1%
4 54
7.8%
7 40
 
5.8%
8 32
 
4.6%
Latin
ValueCountFrequency (%)
k 153
25.0%
c 153
25.0%
a 153
25.0%
l 153
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 153
11.7%
c 153
11.7%
a 153
11.7%
l 153
11.7%
. 116
8.9%
2 89
6.8%
1 79
 
6.1%
3 76
 
5.8%
6 64
 
4.9%
5 61
 
4.7%
Other values (5) 208
15.9%

열량합계
Categorical

Distinct31
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2421.88kcal
 
6
2476.18kcal
 
6
2958.39kcal
 
6
2598.88kcal
 
6
2524.29kcal
 
6
Other values (26)
144 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2421.88kcal
2nd row2421.88kcal
3rd row2421.88kcal
4th row2421.88kcal
5th row2421.88kcal

Common Values

ValueCountFrequency (%)
2421.88kcal 6
 
3.4%
2476.18kcal 6
 
3.4%
2958.39kcal 6
 
3.4%
2598.88kcal 6
 
3.4%
2524.29kcal 6
 
3.4%
2986.52kcal 6
 
3.4%
2095.80kcal 6
 
3.4%
2043.75kcal 6
 
3.4%
2862.11kcal 6
 
3.4%
2426.32kcal 6
 
3.4%
Other values (21) 114
65.5%

Length

2023-12-13T06:35:33.893811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2421.88kcal 6
 
3.4%
3072.79kcal 6
 
3.4%
2878.04kcal 6
 
3.4%
2912.13kcal 6
 
3.4%
3918.27kcal 6
 
3.4%
2768.16kcal 6
 
3.4%
2476.18kcal 6
 
3.4%
2504.99kcal 6
 
3.4%
2749.56kcal 6
 
3.4%
2485.03kcal 6
 
3.4%
Other values (21) 114
65.5%

Correlations

2023-12-13T06:35:34.049793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜조식조식열량중식중식열량석식증특식열량열량합계
날짜1.0000.0000.0000.0000.0000.4200.4201.000
조식0.0001.0001.0000.9690.9690.9760.9760.000
조식열량0.0001.0001.0000.9690.9690.9760.9760.000
중식0.0000.9690.9691.0001.0000.9820.9820.000
중식열량0.0000.9690.9691.0001.0000.9820.9820.000
석식0.4200.9760.9760.9820.9821.0001.0000.420
증특식열량0.4200.9760.9760.9820.9821.0001.0000.420
열량합계1.0000.0000.0000.0000.0000.4200.4201.000

Missing values

2023-12-13T06:35:29.551754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:35:29.660743image/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.
2023-12-13T06:35:29.749939image/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

날짜조식조식열량중식중식열량석식증특식열량열량합계
02021-08-01햄야채볶음밥(01)(05)(06)(10)477.07kcal검은콩밥383.65kcal밥1363kcal2421.88kcal
12021-08-01김치국(05)28.59kcal버섯된장찌개(05)(06)(16)75.29kcal감자양파찌개(05)(06)82.29kcal2421.88kcal
22021-08-01콩나물삼색볶음(05)(06)59.03kcal닭갈비(05)(06)(15)230.21kcal제육볶음(05)(06)(10)416.02kcal2421.88kcal
32021-08-01깍두기(완제품)(09)15.2kcal오징어야채무침(06)(17)116.98kcal단무지무침23.2kcal2421.88kcal
42021-08-01우유(백색우유(200ML,연간))(02)122kcal오이소박이20.35kcal배추김치(7~9월)9kcal2421.88kcal
52021-08-01<NA><NA>커피음료<NA><NA><NA>2421.88kcal
62021-08-02밥1363kcal불닭덮밥(05)(06)(15)542.65kcal밥1363kcal3072.79kcal
72021-08-02쇠고기미역국(05)(16)68.44kcal어묵탕(05)(06)72.89kcal광어매운탕(05)(06)(18)146.33kcal3072.79kcal
82021-08-02비엔나소시지케찹볶음(10)(12)288.55kcal꽈리고추양념무침5.33kcal호박볶음(09)55.6kcal3072.79kcal
92021-08-02감자조림(05)(06)58.27kcal배추김치(7~9월)9kcal탕수육(05)(06)(10)(12)707.73kcal3072.79kcal
날짜조식조식열량중식중식열량석식증특식열량열량합계
1642021-08-30간장계란밥(01)(05)(06)(15)539.9kcal찹쌀밥373.41kcal새우버거(01)(06)(12)616.44kcal2211.33kcal
1652021-08-30무두부조개탕(05)(18)58.17kcal콩나물냉국(05)23.53kcal토마토그린샐러드(01)(12)56.39kcal2211.33kcal
1662021-08-30콩나물무침(05)31.36kcal간장 돼지불고기(05)(06)(10)330.04kcal<NA><NA>2211.33kcal
1672021-08-30배추김치(7~9월)9kcal얼갈이배추겉절이(05)(06)35.89kcal<NA><NA>2211.33kcal
1682021-08-30우유(백색우유(200ML,연간))(02)122kcal깍두기(완제품)(09)15.2kcal<NA><NA>2211.33kcal
1692021-08-31미역국(05)9.04kcal잡곡밥402.67kcal제육덮밥(06)(10)589.79kcal2681.99kcal
1702021-08-31돼지고기깻잎볶음(05)(06)(10)156.56kcal대구매운탕(05)(06)(09)148.04kcal감자양파찌개(05)(06)82.29kcal2681.99kcal
1712021-08-31오이무침(06)31.53kcal돼지고기부추볶음(05)(06)236.67kcal두부김치(05)(10)169.33kcal2681.99kcal
1722021-08-31배추김치(7~9월)9kcal오징어채볶음(01)(06)(17)115.6kcal깍두기(완제품)(09)15.2kcal2681.99kcal
1732021-08-31<NA><NA>양념통닭(06)(15)472.27kcal우유(백색우유(200ML,연간))(02)244kcal2681.99kcal