Overview

Dataset statistics

Number of variables15
Number of observations103
Missing cells159
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory126.3 B

Variable types

Numeric3
Categorical4
Text4
Boolean4

Dataset

Description농림수산식품교육문화정보원_SPS지원서비스_법령정보의 데이터입니다. SPS 관련 법령에 관한 데이터가 존재합니다.
Author농림수산식품교육문화정보원
URLhttps://www.data.go.kr/data/15123786/fileData.do

Alerts

공개여부 has constant value ""Constant
국문여부 has constant value ""Constant
담당기관영문 is highly overall correlated with 일련번호 and 5 other fieldsHigh correlation
담당기관국문 is highly overall correlated with 일련번호 and 5 other fieldsHigh correlation
일련번호 is highly overall correlated with 첨부국문일련번호 and 4 other fieldsHigh correlation
첨부국문일련번호 is highly overall correlated with 일련번호 and 4 other fieldsHigh correlation
첨부일련번호 is highly overall correlated with 일련번호 and 5 other fieldsHigh correlation
공포일자 is highly overall correlated with 담당기관국문 and 3 other fieldsHigh correlation
시행일자 is highly overall correlated with 담당기관국문 and 3 other fieldsHigh correlation
사용여부 is highly overall correlated with 일련번호 and 2 other fieldsHigh correlation
영문여부 is highly overall correlated with 첨부일련번호 and 2 other fieldsHigh correlation
법령영문명 has 52 (50.5%) missing valuesMissing
링크영문주소 has 53 (51.5%) missing valuesMissing
첨부일련번호 has 54 (52.4%) missing valuesMissing
일련번호 has unique valuesUnique
첨부국문일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:02:40.168315
Analysis finished2023-12-12 21:02:42.280245
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum2
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T06:02:42.358394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.1
Q127.5
median53
Q378.5
95-th percentile98.9
Maximum104
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.56372694
Kurtosis-1.2
Mean53
Median Absolute Deviation (MAD)26
Skewness0
Sum5459
Variance892.66667
MonotonicityStrictly increasing
2023-12-13T06:02:42.511610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
1.0%
3 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
11 1
1.0%
ValueCountFrequency (%)
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%

담당기관국문
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
24006
74 
24016
28 
24002
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row24002
2nd row24006
3rd row24006
4th row24006
5th row24006

Common Values

ValueCountFrequency (%)
24006 74
71.8%
24016 28
 
27.2%
24002 1
 
1.0%

Length

2023-12-13T06:02:42.632810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:42.717750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24006 74
71.8%
24016 28
 
27.2%
24002 1
 
1.0%

담당기관영문
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
24006
74 
24016
28 
24002
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row24002
2nd row24006
3rd row24006
4th row24006
5th row24006

Common Values

ValueCountFrequency (%)
24006 74
71.8%
24016 28
 
27.2%
24002 1
 
1.0%

Length

2023-12-13T06:02:42.809639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:42.898949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24006 74
71.8%
24016 28
 
27.2%
24002 1
 
1.0%

공포일자
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size956.0 B
2017-01-02
10 
2016-12-30
9 
2015-06-22
7 
2017-03-27
7 
2016-12-27
7 
Other values (38)
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique21 ?
Unique (%)20.4%

Sample

1st row2016-04-04
2nd row2014-10-15
3rd row2016-12-30
4th row2016-12-30
5th row2017-01-02

Common Values

ValueCountFrequency (%)
2017-01-02 10
 
9.7%
2016-12-30 9
 
8.7%
2015-06-22 7
 
6.8%
2017-03-27 7
 
6.8%
2016-12-27 7
 
6.8%
2017-02-22 4
 
3.9%
2016-02-29 4
 
3.9%
2017-03-21 4
 
3.9%
2013-03-23 4
 
3.9%
2016-01-19 2
 
1.9%
Other values (33) 45
43.7%

Length

2023-12-13T06:02:42.994361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-01-02 10
 
9.7%
2016-12-30 9
 
8.7%
2015-06-22 7
 
6.8%
2017-03-27 7
 
6.8%
2016-12-27 7
 
6.8%
2017-02-22 4
 
3.9%
2016-02-29 4
 
3.9%
2017-03-21 4
 
3.9%
2013-03-23 4
 
3.9%
2016-12-02 2
 
1.9%
Other values (33) 45
43.7%

시행일자
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
2017-01-01
10 
2017-03-30
10 
2017-01-02
10 
2016-06-23
8 
2017-06-28
7 
Other values (33)
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique17 ?
Unique (%)16.5%

Sample

1st row2016-02-03
2nd row2015-01-16
3rd row2017-01-01
4th row2017-01-01
5th row2017-01-02

Common Values

ValueCountFrequency (%)
2017-01-01 10
 
9.7%
2017-03-30 10
 
9.7%
2017-01-02 10
 
9.7%
2016-06-23 8
 
7.8%
2017-06-28 7
 
6.8%
2017-02-22 4
 
3.9%
2013-03-23 4
 
3.9%
2017-03-28 4
 
3.9%
2017-03-01 4
 
3.9%
2015-12-23 3
 
2.9%
Other values (28) 39
37.9%

Length

2023-12-13T06:02:43.130265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-01-01 10
 
9.7%
2017-01-02 10
 
9.7%
2017-03-30 10
 
9.7%
2016-06-23 8
 
7.8%
2017-06-28 7
 
6.8%
2017-02-22 4
 
3.9%
2013-03-23 4
 
3.9%
2017-03-28 4
 
3.9%
2017-03-01 4
 
3.9%
2015-12-23 3
 
2.9%
Other values (28) 39
37.9%

법령국문명
Text

Distinct77
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T06:02:43.375999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length12.941748
Min length3

Characters and Unicode

Total characters1333
Distinct characters95
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)51.5%

Sample

1st rowsdfsdffds
2nd row가축및축산물이력관리에관한법률
3rd row가축및축산물이력관리에관한법률시행령
4th row가축및축산물이력관리에관한법률시행령
5th row가축및축산물이력관리에관한법률시행규칙
ValueCountFrequency (%)
가축전염병예방법시행령 3
 
2.9%
농수산물품질관리법 3
 
2.9%
농약관리법 2
 
1.9%
농약관리법시행규칙 2
 
1.9%
농수산생명자원의보존ㆍ관리및이용에관한법률시행령 2
 
1.9%
사료관리법시행령 2
 
1.9%
사료관리법 2
 
1.9%
비료관리법시행령 2
 
1.9%
비료관리법시행규칙 2
 
1.9%
동물진단용방사선발생장치의안전관리에관한규칙 2
 
1.9%
Other values (67) 81
78.6%
2023-12-13T06:02:43.775330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 97
 
7.3%
법 97
 
7.3%
시 68
 
5.1%
리 61
 
4.6%
행 60
 
4.5%
산 57
 
4.3%
수 42
 
3.2%
에 38
 
2.9%
물 37
 
2.8%
한 36
 
2.7%
Other values (85) 740
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1322
99.2%
Lowercase Letter 9
 
0.7%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 97
 
7.3%
법 97
 
7.3%
시 68
 
5.1%
리 61
 
4.6%
행 60
 
4.5%
산 57
 
4.3%
수 42
 
3.2%
에 38
 
2.9%
물 37
 
2.8%
한 36
 
2.7%
Other values (80) 729
55.1%
Lowercase Letter
ValueCountFrequency (%)
d 3
33.3%
s 3
33.3%
f 3
33.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1322
99.2%
Latin 9
 
0.7%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 97
 
7.3%
법 97
 
7.3%
시 68
 
5.1%
리 61
 
4.6%
행 60
 
4.5%
산 57
 
4.3%
수 42
 
3.2%
에 38
 
2.9%
물 37
 
2.8%
한 36
 
2.7%
Other values (80) 729
55.1%
Latin
ValueCountFrequency (%)
d 3
33.3%
s 3
33.3%
f 3
33.3%
Common
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1309
98.2%
Compat Jamo 13
 
1.0%
ASCII 11
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 97
 
7.4%
법 97
 
7.4%
시 68
 
5.2%
리 61
 
4.7%
행 60
 
4.6%
산 57
 
4.4%
수 42
 
3.2%
에 38
 
2.9%
물 37
 
2.8%
한 36
 
2.8%
Other values (79) 716
54.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%
ASCII
ValueCountFrequency (%)
d 3
27.3%
s 3
27.3%
f 3
27.3%
5 1
 
9.1%
2 1
 
9.1%

법령영문명
Text

MISSING 

Distinct35
Distinct (%)68.6%
Missing52
Missing (%)50.5%
Memory size956.0 B
2023-12-13T06:02:44.026446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length47
Mean length42.156863
Min length12

Characters and Unicode

Total characters2150
Distinct characters28
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

Unique21 ?
Unique (%)41.2%

Sample

1st rowsdfsdfsdfsdf
2nd rowCATTLEANDBEEFTRACEABILITYACT
3rd rowREGULATIONFORCATTLEANDBEEFTRACEABILITY
4th rowACTONTHEPREVENTIONOFCONTAGIOUSANIMALDISEASES
5th rowENFORCEMENTDECREEOFTHEACTONTHEPREVENTIONOFCONTAGIOUSANIMALDISEASES
ValueCountFrequency (%)
agriculturalandfisheryproductsqualitycontrolact 3
 
5.9%
enforcementdecreeoftheactonthepreventionofcontagiousanimaldiseases 3
 
5.9%
fertilizercontrolact 2
 
3.9%
enforcementdecreeofthepesticidecontrolact 2
 
3.9%
enforcementdecreeofthecontroloflivestockandfishfeedact 2
 
3.9%
controloflivestockandfishfeedact 2
 
3.9%
enforcementdecreeofthefertilizercontrolact 2
 
3.9%
pesticidecontrolact 2
 
3.9%
enforcementdecreeoftheactonoriginlabelingofagriculturalandfisheryproducts 2
 
3.9%
enforcementdecreeoftheagriculturalandfisheryproductsqualitycontrolact 2
 
3.9%
Other values (25) 29
56.9%
2023-12-13T06:02:44.460601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 285
13.3%
T 210
9.8%
O 184
 
8.6%
R 171
 
8.0%
A 165
 
7.7%
N 164
 
7.6%
C 152
 
7.1%
I 138
 
6.4%
S 110
 
5.1%
F 92
 
4.3%
Other values (18) 479
22.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2136
99.3%
Lowercase Letter 12
 
0.6%
Other Punctuation 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 285
13.3%
T 210
9.8%
O 184
 
8.6%
R 171
 
8.0%
A 165
 
7.7%
N 164
 
7.7%
C 152
 
7.1%
I 138
 
6.5%
S 110
 
5.1%
F 92
 
4.3%
Other values (14) 465
21.8%
Lowercase Letter
ValueCountFrequency (%)
s 4
33.3%
d 4
33.3%
f 4
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2148
99.9%
Common 2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 285
13.3%
T 210
9.8%
O 184
 
8.6%
R 171
 
8.0%
A 165
 
7.7%
N 164
 
7.6%
C 152
 
7.1%
I 138
 
6.4%
S 110
 
5.1%
F 92
 
4.3%
Other values (17) 477
22.2%
Common
ValueCountFrequency (%)
, 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 285
13.3%
T 210
9.8%
O 184
 
8.6%
R 171
 
8.0%
A 165
 
7.7%
N 164
 
7.6%
C 152
 
7.1%
I 138
 
6.4%
S 110
 
5.1%
F 92
 
4.3%
Other values (18) 479
22.3%

링크국문주소
Text

Distinct77
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T06:02:44.754263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length37.019417
Min length27

Characters and Unicode

Total characters3813
Distinct characters107
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)51.5%

Sample

1st rowhttp://www.law.go.kr/법령/식품등기부활성화에관한법률시행규칙
2nd rowhttp://www.law.go.kr/법령/가축및축산물이력관리에관한법률
3rd rowhttp://www.law.go.kr/법령/가축및축산물이력관리에관한법률시행령
4th rowhttp://www.law.go.kr/법령/가축및축산물이력관리에관한법률시행령
5th rowhttp://www.law.go.kr/법령/가축및축산물이력관리에관한법률시행규칙
ValueCountFrequency (%)
http://www.law.go.kr/법령/가축전염병예방법시행령 3
 
2.9%
http://www.law.go.kr/법령/농수산물품질관리법 3
 
2.9%
http://www.law.go.kr/법령/농약관리법 2
 
1.9%
http://www.law.go.kr/법령/농약관리법시행규칙 2
 
1.9%
http://www.law.go.kr/법령/농수산생명자원의보존ㆍ관리및이용에관한법률시행령 2
 
1.9%
http://www.law.go.kr/법령/사료관리법시행령 2
 
1.9%
http://www.law.go.kr/법령/사료관리법 2
 
1.9%
http://www.law.go.kr/법령/비료관리법시행령 2
 
1.9%
http://www.law.go.kr/법령/비료관리법시행규칙 2
 
1.9%
http://www.law.go.kr/법령/동물진단용방사선발생장치의안전관리에관한규칙 2
 
1.9%
Other values (67) 81
78.6%
2023-12-13T06:02:45.184385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 412
 
10.8%
w 412
 
10.8%
. 309
 
8.1%
t 206
 
5.4%
법 201
 
5.3%
령 136
 
3.6%
o 103
 
2.7%
r 103
 
2.7%
k 103
 
2.7%
h 103
 
2.7%
Other values (97) 1725
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1545
40.5%
Lowercase Letter 1442
37.8%
Other Punctuation 824
21.6%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 201
 
13.0%
령 136
 
8.8%
관 98
 
6.3%
시 69
 
4.5%
행 61
 
3.9%
리 61
 
3.9%
산 57
 
3.7%
수 42
 
2.7%
에 39
 
2.5%
한 37
 
2.4%
Other values (82) 744
48.2%
Lowercase Letter
ValueCountFrequency (%)
w 412
28.6%
t 206
14.3%
o 103
 
7.1%
r 103
 
7.1%
k 103
 
7.1%
h 103
 
7.1%
g 103
 
7.1%
l 103
 
7.1%
p 103
 
7.1%
a 103
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 412
50.0%
. 309
37.5%
: 103
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1545
40.5%
Latin 1442
37.8%
Common 826
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 201
 
13.0%
령 136
 
8.8%
관 98
 
6.3%
시 69
 
4.5%
행 61
 
3.9%
리 61
 
3.9%
산 57
 
3.7%
수 42
 
2.7%
에 39
 
2.5%
한 37
 
2.4%
Other values (82) 744
48.2%
Latin
ValueCountFrequency (%)
w 412
28.6%
t 206
14.3%
o 103
 
7.1%
r 103
 
7.1%
k 103
 
7.1%
h 103
 
7.1%
g 103
 
7.1%
l 103
 
7.1%
p 103
 
7.1%
a 103
 
7.1%
Common
ValueCountFrequency (%)
/ 412
49.9%
. 309
37.4%
: 103
 
12.5%
2 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2268
59.5%
Hangul 1532
40.2%
Compat Jamo 13
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 412
18.2%
w 412
18.2%
. 309
13.6%
t 206
9.1%
o 103
 
4.5%
r 103
 
4.5%
k 103
 
4.5%
h 103
 
4.5%
g 103
 
4.5%
l 103
 
4.5%
Other values (5) 311
13.7%
Hangul
ValueCountFrequency (%)
법 201
 
13.1%
령 136
 
8.9%
관 98
 
6.4%
시 69
 
4.5%
행 61
 
4.0%
리 61
 
4.0%
산 57
 
3.7%
수 42
 
2.7%
에 39
 
2.5%
한 37
 
2.4%
Other values (81) 731
47.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

링크영문주소
Text

MISSING 

Distinct40
Distinct (%)80.0%
Missing53
Missing (%)51.5%
Memory size956.0 B
2023-12-13T06:02:45.453935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length137
Mean length107.1
Min length41

Characters and Unicode

Total characters5355
Distinct characters85
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)76.0%

Sample

1st rowhttp://www.law.go.kr/법령/식품등기부활성화에관한법률시행규칙
2nd rowhttp://www.law.go.kr/eng/engLsSc.domenuId=2&query=CATTLE%20AND%20BEEF%20TRACEABILITY%20ACT
3rd rowhttp://www.law.go.kr/eng/engLsSc.domenuId=1&query=act+on+the+prevention+of+contagious&x=0&y=0#liBgc
4th rowhttp://www.law.go.kr/eng/engLsSc.domenuId=1&query=act+on+the+prevention+of+contagious&x=0&y=0#liBgc
5th rowhttp://www.law.go.kr/eng/engLsSc.domenuId=1&query=act+on+the+prevention+of+contagious&x=0&y=0#liBgc
ValueCountFrequency (%)
http://www.law.go.kr/eng/englssc.domenuid=1&query=act+on+the+prevention+of+contagious&x=0&y=0#libgc 8
 
16.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=veterinary+services+laboratories+act&x=35&y=22#li 4
 
8.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=fishery+products+distribution+management+and+support+act&x=13&y=36#libgcolor0 1
 
2.0%
http://www.law.go.kr/법령/식품등기부활성화에관한법률시행규칙 1
 
2.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=fisheries+act&x=25&y=26#ajax 1
 
2.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=act+on+the+protection+of+new+varieties+of+plants&x=44&y=31#libgcolor0 1
 
2.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=food+industry+promotion+act&x=21&y=33#libgcolor0 1
 
2.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=seed+industry+act&x=32&y=27#libgcolor2 1
 
2.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=livestock+industry+act&x=51&y=30#libgcolor0 1
 
2.0%
http://www.law.go.kr/eng/englssc.domenuid=1&query=act+on+the+promotion+of+environmentfriendly+agriculture+and+fisheries+and+the+management+of+and+support+for+organic+foods%2c+etc.&x=26&y=17#libgcolor0 1
 
2.0%
Other values (30) 30
60.0%
2023-12-13T06:02:45.866358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 265
 
4.9%
e 231
 
4.3%
E 209
 
3.9%
/ 200
 
3.7%
w 200
 
3.7%
. 200
 
3.7%
o 196
 
3.7%
g 188
 
3.5%
n 187
 
3.5%
= 182
 
3.4%
Other values (75) 3297
61.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2300
43.0%
Uppercase Letter 1732
32.3%
Other Punctuation 627
 
11.7%
Math Symbol 447
 
8.3%
Decimal Number 230
 
4.3%
Other Letter 19
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 209
12.1%
T 155
8.9%
I 150
8.7%
S 133
 
7.7%
R 131
 
7.6%
A 130
 
7.5%
O 129
 
7.4%
N 117
 
6.8%
C 108
 
6.2%
L 96
 
5.5%
Other values (16) 374
21.6%
Lowercase Letter
ValueCountFrequency (%)
e 231
 
10.0%
w 200
 
8.7%
o 196
 
8.5%
g 188
 
8.2%
n 187
 
8.1%
t 140
 
6.1%
r 134
 
5.8%
l 110
 
4.8%
u 107
 
4.7%
c 102
 
4.4%
Other values (13) 705
30.7%
Other Letter
ValueCountFrequency (%)
법 2
 
10.5%
식 1
 
5.3%
칙 1
 
5.3%
규 1
 
5.3%
행 1
 
5.3%
시 1
 
5.3%
률 1
 
5.3%
한 1
 
5.3%
관 1
 
5.3%
에 1
 
5.3%
Other values (8) 8
42.1%
Decimal Number
ValueCountFrequency (%)
1 67
29.1%
2 49
21.3%
0 46
20.0%
3 24
 
10.4%
4 12
 
5.2%
6 9
 
3.9%
5 9
 
3.9%
7 6
 
2.6%
9 4
 
1.7%
8 4
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 200
31.9%
. 200
31.9%
& 133
21.2%
: 50
 
8.0%
# 38
 
6.1%
% 6
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 265
59.3%
= 182
40.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 4032
75.3%
Common 1304
 
24.4%
Hangul 19
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 231
 
5.7%
E 209
 
5.2%
w 200
 
5.0%
o 196
 
4.9%
g 188
 
4.7%
n 187
 
4.6%
T 155
 
3.8%
I 150
 
3.7%
t 140
 
3.5%
r 134
 
3.3%
Other values (39) 2242
55.6%
Common
ValueCountFrequency (%)
+ 265
20.3%
/ 200
15.3%
. 200
15.3%
= 182
14.0%
& 133
10.2%
1 67
 
5.1%
: 50
 
3.8%
2 49
 
3.8%
0 46
 
3.5%
# 38
 
2.9%
Other values (8) 74
 
5.7%
Hangul
ValueCountFrequency (%)
법 2
 
10.5%
식 1
 
5.3%
칙 1
 
5.3%
규 1
 
5.3%
행 1
 
5.3%
시 1
 
5.3%
률 1
 
5.3%
한 1
 
5.3%
관 1
 
5.3%
에 1
 
5.3%
Other values (8) 8
42.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5336
99.6%
Hangul 19
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 265
 
5.0%
e 231
 
4.3%
E 209
 
3.9%
/ 200
 
3.7%
w 200
 
3.7%
. 200
 
3.7%
o 196
 
3.7%
g 188
 
3.5%
n 187
 
3.5%
= 182
 
3.4%
Other values (57) 3278
61.4%
Hangul
ValueCountFrequency (%)
법 2
 
10.5%
식 1
 
5.3%
칙 1
 
5.3%
규 1
 
5.3%
행 1
 
5.3%
시 1
 
5.3%
률 1
 
5.3%
한 1
 
5.3%
관 1
 
5.3%
에 1
 
5.3%
Other values (8) 8
42.1%

사용여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size235.0 B
True
76 
False
27 
ValueCountFrequency (%)
True 76
73.8%
False 27
 
26.2%
2023-12-13T06:02:45.982437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공개여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size235.0 B
False
103 
ValueCountFrequency (%)
False 103
100.0%
2023-12-13T06:02:46.054652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

국문여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size235.0 B
True
103 
ValueCountFrequency (%)
True 103
100.0%
2023-12-13T06:02:46.127933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

영문여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size235.0 B
False
53 
True
50 
ValueCountFrequency (%)
False 53
51.5%
True 50
48.5%
2023-12-13T06:02:46.203523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

첨부국문일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.097087
Minimum5
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T06:02:46.332887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile18.1
Q150
median92
Q3126.5
95-th percentile156.9
Maximum163
Range158
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation44.968947
Coefficient of variation (CV)0.50471848
Kurtosis-1.1802589
Mean89.097087
Median Absolute Deviation (MAD)38
Skewness-0.08845373
Sum9177
Variance2022.2062
MonotonicityStrictly increasing
2023-12-13T06:02:46.510782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1
 
1.0%
13 1
 
1.0%
126 1
 
1.0%
124 1
 
1.0%
123 1
 
1.0%
122 1
 
1.0%
121 1
 
1.0%
119 1
 
1.0%
118 1
 
1.0%
117 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
5 1
1.0%
13 1
1.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
18 1
1.0%
19 1
1.0%
21 1
1.0%
23 1
1.0%
24 1
1.0%
ValueCountFrequency (%)
163 1
1.0%
162 1
1.0%
160 1
1.0%
159 1
1.0%
158 1
1.0%
157 1
1.0%
156 1
1.0%
155 1
1.0%
153 1
1.0%
152 1
1.0%

첨부일련번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct49
Distinct (%)100.0%
Missing54
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean84
Minimum14
Maximum161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T06:02:46.657590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile23.2
Q150
median80
Q3120
95-th percentile149.2
Maximum161
Range147
Interquartile range (IQR)70

Descriptive statistics

Standard deviation42.479407
Coefficient of variation (CV)0.50570722
Kurtosis-1.1620835
Mean84
Median Absolute Deviation (MAD)35
Skewness0.16894853
Sum4116
Variance1804.5
MonotonicityStrictly increasing
2023-12-13T06:02:46.796702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
125 1
 
1.0%
89 1
 
1.0%
91 1
 
1.0%
94 1
 
1.0%
96 1
 
1.0%
99 1
 
1.0%
103 1
 
1.0%
109 1
 
1.0%
112 1
 
1.0%
116 1
 
1.0%
Other values (39) 39
37.9%
(Missing) 54
52.4%
ValueCountFrequency (%)
14 1
1.0%
20 1
1.0%
22 1
1.0%
25 1
1.0%
27 1
1.0%
30 1
1.0%
32 1
1.0%
35 1
1.0%
39 1
1.0%
41 1
1.0%
ValueCountFrequency (%)
161 1
1.0%
154 1
1.0%
150 1
1.0%
148 1
1.0%
146 1
1.0%
143 1
1.0%
141 1
1.0%
138 1
1.0%
136 1
1.0%
133 1
1.0%

Interactions

2023-12-13T06:02:41.655031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:40.927789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:41.179738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:41.733150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:41.001379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:41.491263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:41.820117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:41.100377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:41.574913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:02:46.911841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호담당기관국문담당기관영문공포일자시행일자법령국문명법령영문명링크국문주소링크영문주소사용여부영문여부첨부국문일련번호첨부일련번호
일련번호1.0000.7800.7800.1480.6930.0000.6920.0000.9830.9780.1680.9780.985
담당기관국문0.7801.0001.0000.9200.9381.0001.0001.0001.0000.2260.0000.7820.997
담당기관영문0.7801.0001.0000.9200.9381.0001.0001.0001.0000.2260.0000.7820.997
공포일자0.1480.9200.9201.0000.9971.0000.9971.0000.8590.0000.8990.0000.000
시행일자0.6930.9380.9380.9971.0001.0001.0001.0000.9220.0000.9110.5950.444
법령국문명0.0001.0001.0001.0001.0001.0001.0001.0000.9680.0001.0000.0000.637
법령영문명0.6921.0001.0000.9971.0001.0001.0001.0000.9680.0001.0000.7440.637
링크국문주소0.0001.0001.0001.0001.0001.0001.0001.0000.9680.0001.0000.0000.637
링크영문주소0.9831.0001.0000.8590.9220.9680.9680.9681.0001.000NaN0.9720.968
사용여부0.9780.2260.2260.0000.0000.0000.0000.0001.0001.0000.1770.9800.940
영문여부0.1680.0000.0000.8990.9111.0001.0001.000NaN0.1771.0000.281NaN
첨부국문일련번호0.9780.7820.7820.0000.5950.0000.7440.0000.9720.9800.2811.0000.988
첨부일련번호0.9850.9970.9970.0000.4440.6370.6370.6370.9680.940NaN0.9881.000
2023-12-13T06:02:47.066445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영문여부공포일자담당기관영문담당기관국문시행일자사용여부
영문여부1.0000.6230.0000.0000.6300.113
공포일자0.6231.0000.5920.5920.8580.000
담당기관영문0.0000.5921.0001.0000.6510.368
담당기관국문0.0000.5921.0001.0000.6510.368
시행일자0.6300.8580.6510.6511.0000.000
사용여부0.1130.0000.3680.3680.0001.000
2023-12-13T06:02:47.167538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호첨부국문일련번호첨부일련번호담당기관국문담당기관영문공포일자시행일자사용여부영문여부
일련번호1.0001.0001.0000.6380.6380.0000.2620.8370.120
첨부국문일련번호1.0001.0001.0000.6420.6420.0000.2040.8420.216
첨부일련번호1.0001.0001.0000.8690.8690.0000.1460.7211.000
담당기관국문0.6380.6420.8691.0001.0000.5920.6510.3680.000
담당기관영문0.6380.6420.8691.0001.0000.5920.6510.3680.000
공포일자0.0000.0000.0000.5920.5921.0000.8580.0000.623
시행일자0.2620.2040.1460.6510.6510.8581.0000.0000.630
사용여부0.8370.8420.7210.3680.3680.0000.0001.0000.113
영문여부0.1200.2161.0000.0000.0000.6230.6300.1131.000

Missing values

2023-12-13T06:02:41.942774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:02:42.117507image/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.
2023-12-13T06:02:42.225844image/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

일련번호담당기관국문담당기관영문공포일자시행일자법령국문명법령영문명링크국문주소링크영문주소사용여부공개여부국문여부영문여부첨부국문일련번호첨부일련번호
0224002240022016-04-042016-02-03sdfsdffdssdfsdfsdfsdfhttp://www.law.go.kr/법령/식품등기부활성화에관한법률시행규칙http://www.law.go.kr/법령/식품등기부활성화에관한법률시행규칙NNYY5<NA>
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