Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory869.1 KiB
Average record size in memory89.0 B

Variable types

Text5
Numeric1
Boolean2
DateTime2

Dataset

Description법제연구원영문법령에 대한 영문법령을 관리하는 데이터로 한글법령명, 영문법령명, 공포번호, 공포일자, 시행일자, 영문법령XML데이터 등의 항목을 제공합니다.
Author법제처
URLhttps://www.data.go.kr/data/15123790/fileData.do

Alerts

본문존재여부 has constant value ""Constant
영문법령XML데이터 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:03:41.942038
Analysis finished2023-12-12 08:03:43.677968
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2179
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:03:43.970803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length43
Mean length14.7156
Min length2

Characters and Unicode

Total characters147156
Distinct characters434
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique610 ?
Unique (%)6.1%

Sample

1st row의료법 시행령
2nd row우정사업본부 직제
3rd row소득세법 시행령
4th row6·25전쟁 납북피해 진상규명 및 납북피해자 명예회복에 관한 법률 시행령
5th row과학기술유공자 예우 및 지원에 관한 법률 시행령
ValueCountFrequency (%)
시행령 4853
 
14.1%
관한 3447
 
10.0%
법률 2749
 
8.0%
2090
 
6.1%
등에 769
 
2.2%
특별법 592
 
1.7%
지원에 344
 
1.0%
위한 300
 
0.9%
관리에 249
 
0.7%
규정 219
 
0.6%
Other values (2272) 18762
54.6%
2023-12-12T17:03:44.558415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24376
 
16.6%
9403
 
6.4%
5956
 
4.0%
5540
 
3.8%
5325
 
3.6%
4903
 
3.3%
4271
 
2.9%
3886
 
2.6%
2846
 
1.9%
2163
 
1.5%
Other values (424) 78487
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121699
82.7%
Space Separator 24376
 
16.6%
Other Punctuation 681
 
0.5%
Decimal Number 378
 
0.3%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9403
 
7.7%
5956
 
4.9%
5540
 
4.6%
5325
 
4.4%
4903
 
4.0%
4271
 
3.5%
3886
 
3.2%
2846
 
2.3%
2163
 
1.8%
2075
 
1.7%
Other values (410) 75331
61.9%
Decimal Number
ValueCountFrequency (%)
1 105
27.8%
2 75
19.8%
0 57
15.1%
4 32
 
8.5%
5 31
 
8.2%
8 24
 
6.3%
6 22
 
5.8%
3 18
 
4.8%
9 14
 
3.7%
Other Punctuation
ValueCountFrequency (%)
· 652
95.7%
, 29
 
4.3%
Space Separator
ValueCountFrequency (%)
24376
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121699
82.7%
Common 25457
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9403
 
7.7%
5956
 
4.9%
5540
 
4.6%
5325
 
4.4%
4903
 
4.0%
4271
 
3.5%
3886
 
3.2%
2846
 
2.3%
2163
 
1.8%
2075
 
1.7%
Other values (410) 75331
61.9%
Common
ValueCountFrequency (%)
24376
95.8%
· 652
 
2.6%
1 105
 
0.4%
2 75
 
0.3%
0 57
 
0.2%
4 32
 
0.1%
5 31
 
0.1%
, 29
 
0.1%
8 24
 
0.1%
6 22
 
0.1%
Other values (4) 54
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121663
82.7%
ASCII 24805
 
16.9%
None 652
 
0.4%
Compat Jamo 36
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24376
98.3%
1 105
 
0.4%
2 75
 
0.3%
0 57
 
0.2%
4 32
 
0.1%
5 31
 
0.1%
, 29
 
0.1%
8 24
 
0.1%
6 22
 
0.1%
3 18
 
0.1%
Other values (3) 36
 
0.1%
Hangul
ValueCountFrequency (%)
9403
 
7.7%
5956
 
4.9%
5540
 
4.6%
5325
 
4.4%
4903
 
4.0%
4271
 
3.5%
3886
 
3.2%
2846
 
2.3%
2163
 
1.8%
2075
 
1.7%
Other values (409) 75295
61.9%
None
ValueCountFrequency (%)
· 652
100.0%
Compat Jamo
ValueCountFrequency (%)
36
100.0%
Distinct2229
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:03:45.030606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length320
Median length138
Mean length59.9425
Min length3

Characters and Unicode

Total characters599425
Distinct characters95
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique668 ?
Unique (%)6.7%

Sample

1st rowENFORCEMENT DECREE OF THE MEDICAL SERVICE ACT
2nd rowDECREE ON THE ORGANIZATION OF KOREA POST
3rd rowENFORCEMENT DECREE OF THE INCOME TAX ACT
4th rowENFORCEMENT DECREE OF THE ACT ON FINDING THE TRUTH OF THE DAMAGE FROM NORTH KOREA’S ABDUCTION DURING THE KOREAN WAR AND RESTORING HONOR OF THE VICTIMS
5th rowENFORCEMENT DECREE OF THE ACT ON THE HONORABLE TREATMENT OF AND SUPPORT FOR PERSONS OF DISTINGUISHED SERVICE TO SCIENCE AND TECHNOLOGY
ValueCountFrequency (%)
of 9375
 
10.6%
act 9218
 
10.5%
the 8029
 
9.1%
decree 5221
 
5.9%
enforcement 5171
 
5.9%
on 4170
 
4.7%
and 3303
 
3.7%
for 1281
 
1.5%
promotion 1129
 
1.3%
special 1086
 
1.2%
Other values (1736) 40130
45.5%
2023-12-12T17:03:45.629691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78177
13.0%
E 76294
12.7%
T 51872
 
8.7%
N 46458
 
7.8%
O 45497
 
7.6%
A 39472
 
6.6%
C 36623
 
6.1%
R 35506
 
5.9%
I 32304
 
5.4%
S 24487
 
4.1%
Other values (85) 132735
22.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 515572
86.0%
Space Separator 78177
 
13.0%
Other Punctuation 2440
 
0.4%
Other Letter 1629
 
0.3%
Dash Punctuation 751
 
0.1%
Decimal Number 341
 
0.1%
Lowercase Letter 308
 
0.1%
Close Punctuation 70
 
< 0.1%
Open Punctuation 70
 
< 0.1%
Final Punctuation 67
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
114
 
7.0%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
Other values (19) 903
55.4%
Uppercase Letter
ValueCountFrequency (%)
E 76294
14.8%
T 51872
10.1%
N 46458
9.0%
O 45497
8.8%
A 39472
 
7.7%
C 36623
 
7.1%
R 35506
 
6.9%
I 32304
 
6.3%
S 24487
 
4.7%
F 21826
 
4.2%
Other values (16) 105233
20.4%
Lowercase Letter
ValueCountFrequency (%)
o 42
13.6%
t 39
12.7%
e 39
12.7%
n 33
10.7%
i 21
6.8%
c 21
6.8%
a 19
 
6.2%
f 18
 
5.8%
r 13
 
4.2%
s 13
 
4.2%
Other values (11) 50
16.2%
Decimal Number
ValueCountFrequency (%)
1 114
33.4%
2 66
19.4%
0 64
18.8%
8 24
 
7.0%
4 23
 
6.7%
3 16
 
4.7%
9 14
 
4.1%
7 7
 
2.1%
5 7
 
2.1%
6 6
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 1358
55.7%
. 1035
42.4%
' 39
 
1.6%
· 8
 
0.3%
Space Separator
ValueCountFrequency (%)
78177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 751
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Final Punctuation
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 515880
86.1%
Common 81916
 
13.7%
Hangul 1629
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 76294
14.8%
T 51872
10.1%
N 46458
9.0%
O 45497
8.8%
A 39472
 
7.7%
C 36623
 
7.1%
R 35506
 
6.9%
I 32304
 
6.3%
S 24487
 
4.7%
F 21826
 
4.2%
Other values (37) 105541
20.5%
Hangul
ValueCountFrequency (%)
114
 
7.0%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
Other values (19) 903
55.4%
Common
ValueCountFrequency (%)
78177
95.4%
, 1358
 
1.7%
. 1035
 
1.3%
- 751
 
0.9%
1 114
 
0.1%
) 70
 
0.1%
( 70
 
0.1%
67
 
0.1%
2 66
 
0.1%
0 64
 
0.1%
Other values (9) 144
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 597721
99.7%
Hangul 1629
 
0.3%
Punctuation 67
 
< 0.1%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78177
13.1%
E 76294
12.8%
T 51872
 
8.7%
N 46458
 
7.8%
O 45497
 
7.6%
A 39472
 
6.6%
C 36623
 
6.1%
R 35506
 
5.9%
I 32304
 
5.4%
S 24487
 
4.1%
Other values (54) 131031
21.9%
Hangul
ValueCountFrequency (%)
114
 
7.0%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
68
 
4.2%
Other values (19) 903
55.4%
Punctuation
ValueCountFrequency (%)
67
100.0%
None
ValueCountFrequency (%)
· 8
100.0%

공포번호
Real number (ℝ)

Distinct6366
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27151.575
Minimum0
Maximum2021771
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:03:45.835371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6835.55
Q114270
median17930.5
Q325812
95-th percentile29950
Maximum2021771
Range2021771
Interquartile range (IQR)11542

Descriptive statistics

Standard deviation123301.24
Coefficient of variation (CV)4.5412186
Kurtosis253.75679
Mean27151.575
Median Absolute Deviation (MAD)4588
Skewness15.927269
Sum2.7151575 × 108
Variance1.5203196 × 1010
MonotonicityNot monotonic
2023-12-12T17:03:46.058585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14839 181
 
1.8%
28211 98
 
1.0%
25751 78
 
0.8%
12844 74
 
0.7%
27751 73
 
0.7%
25840 66
 
0.7%
25050 47
 
0.5%
13805 39
 
0.4%
25532 38
 
0.4%
18312 36
 
0.4%
Other values (6356) 9270
92.7%
ValueCountFrequency (%)
0 6
0.1%
1 7
0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
11 3
< 0.1%
15 1
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
28 1
 
< 0.1%
ValueCountFrequency (%)
2021771 1
< 0.1%
2020542 1
< 0.1%
2020117 1
< 0.1%
2018359 1
< 0.1%
2017442 1
< 0.1%
2017001 1
< 0.1%
2016462 1
< 0.1%
2016166 1
< 0.1%
2016141 1
< 0.1%
2016064 1
< 0.1%
Distinct1999
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:03:46.447124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1040 ?
Unique (%)10.4%

Sample

1st row2021-06-15
2nd row2016-12-27
3rd row2016-12-05
4th row2015-09-08
5th row2016-12-23
ValueCountFrequency (%)
2017-07-26 345
 
3.5%
2014-11-19 166
 
1.7%
2016-05-29 135
 
1.4%
2016-01-19 123
 
1.2%
2016-12-27 109
 
1.1%
2017-03-21 108
 
1.1%
2013-03-23 108
 
1.1%
2008-02-29 99
 
1.0%
2016-12-30 98
 
1.0%
2016-03-29 89
 
0.9%
Other values (1989) 8620
86.2%
2023-12-12T17:03:47.000643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21691
21.7%
- 20000
20.0%
2 18483
18.5%
1 16979
17.0%
9 4472
 
4.5%
6 3891
 
3.9%
3 3593
 
3.6%
7 3581
 
3.6%
8 2632
 
2.6%
4 2443
 
2.4%
Other values (3) 2235
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79997
80.0%
Dash Punctuation 20000
 
20.0%
Space Separator 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21691
27.1%
2 18483
23.1%
1 16979
21.2%
9 4472
 
5.6%
6 3891
 
4.9%
3 3593
 
4.5%
7 3581
 
4.5%
8 2632
 
3.3%
4 2443
 
3.1%
5 2232
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21691
21.7%
- 20000
20.0%
2 18483
18.5%
1 16979
17.0%
9 4472
 
4.5%
6 3891
 
3.9%
3 3593
 
3.6%
7 3581
 
3.6%
8 2632
 
2.6%
4 2443
 
2.4%
Other values (3) 2235
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21691
21.7%
- 20000
20.0%
2 18483
18.5%
1 16979
17.0%
9 4472
 
4.5%
6 3891
 
3.9%
3 3593
 
3.6%
7 3581
 
3.6%
8 2632
 
2.6%
4 2443
 
2.4%
Other values (3) 2235
 
2.2%
Distinct2287
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:03:47.339731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1205 ?
Unique (%)12.0%

Sample

1st row2021-06-30
2nd row2016-12-27
3rd row2016-12-05
4th row2015-09-08
5th row2016-12-23
ValueCountFrequency (%)
2017-07-26 343
 
3.4%
2014-11-19 157
 
1.6%
2015-01-01 120
 
1.2%
2017-01-01 106
 
1.1%
2013-03-23 106
 
1.1%
2008-02-29 99
 
1.0%
2017-03-30 92
 
0.9%
2016-11-30 87
 
0.9%
2016-08-12 75
 
0.8%
2015-12-23 74
 
0.7%
Other values (2277) 8741
87.4%
2023-12-12T17:03:47.848191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23859
23.9%
- 20000
20.0%
1 17462
17.5%
2 16719
16.7%
9 4307
 
4.3%
7 3842
 
3.8%
6 3398
 
3.4%
3 3104
 
3.1%
8 2786
 
2.8%
4 2308
 
2.3%
Other values (2) 2215
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79993
80.0%
Dash Punctuation 20000
 
20.0%
Space Separator 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23859
29.8%
1 17462
21.8%
2 16719
20.9%
9 4307
 
5.4%
7 3842
 
4.8%
6 3398
 
4.2%
3 3104
 
3.9%
8 2786
 
3.5%
4 2308
 
2.9%
5 2208
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23859
23.9%
- 20000
20.0%
1 17462
17.5%
2 16719
16.7%
9 4307
 
4.3%
7 3842
 
3.8%
6 3398
 
3.4%
3 3104
 
3.1%
8 2786
 
2.8%
4 2308
 
2.3%
Other values (2) 2215
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23859
23.9%
- 20000
20.0%
1 17462
17.5%
2 16719
16.7%
9 4307
 
4.3%
7 3842
 
3.8%
6 3398
 
3.4%
3 3104
 
3.1%
8 2786
 
2.8%
4 2308
 
2.3%
Other values (2) 2215
 
2.2%
Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:03:48.115049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length67
Mean length68.8867
Min length65

Characters and Unicode

Total characters688867
Distinct characters159
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://openlaw.klri.re.kr/openapi/elaw.do?id=lawmanager&hseq=57104&type=3
2nd rowhttp://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=44632&type=3
3rd rowhttp://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=33800&type=3
4th rowhttp://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=44697&type=3
5th rowhttp://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=42788&type=3
ValueCountFrequency (%)
of 23
 
0.2%
the 11
 
0.1%
xml 9
 
0.1%
version="1.0 9
 
0.1%
and 8
 
0.1%
시행령</국문법령명><영문법령명>enforcement 5
 
< 0.1%
decree 5
 
< 0.1%
on 4
 
< 0.1%
act 4
 
< 0.1%
security 3
 
< 0.1%
Other values (10081) 10095
99.2%
2023-12-12T17:03:48.536036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 55471
 
8.1%
e 53007
 
7.7%
a 51482
 
7.5%
p 41474
 
6.0%
/ 40399
 
5.9%
. 39975
 
5.8%
t 30025
 
4.4%
= 29996
 
4.4%
l 23010
 
3.3%
i 21562
 
3.1%
Other values (149) 302466
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 394304
57.2%
Decimal Number 137705
 
20.0%
Other Punctuation 120412
 
17.5%
Math Symbol 31817
 
4.6%
Other Letter 3891
 
0.6%
Uppercase Letter 534
 
0.1%
Space Separator 177
 
< 0.1%
Dash Punctuation 10
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Close Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
336
 
8.6%
305
 
7.8%
304
 
7.8%
304
 
7.8%
237
 
6.1%
228
 
5.9%
166
 
4.3%
165
 
4.2%
158
 
4.1%
155
 
4.0%
Other values (73) 1533
39.4%
Lowercase Letter
ValueCountFrequency (%)
e 53007
13.4%
a 51482
13.1%
p 41474
10.5%
t 30025
 
7.6%
l 23010
 
5.8%
i 21562
 
5.5%
n 21555
 
5.5%
o 21541
 
5.5%
w 21482
 
5.4%
d 20006
 
5.1%
Other values (14) 89160
22.6%
Uppercase Letter
ValueCountFrequency (%)
T 63
11.8%
E 63
11.8%
O 54
10.1%
A 42
 
7.9%
N 40
 
7.5%
C 39
 
7.3%
R 34
 
6.4%
F 28
 
5.2%
I 27
 
5.1%
M 26
 
4.9%
Other values (14) 118
22.1%
Decimal Number
ValueCountFrequency (%)
1 55471
40.3%
3 17472
 
12.7%
4 17058
 
12.4%
6 13012
 
9.4%
8 12383
 
9.0%
5 5785
 
4.2%
0 4379
 
3.2%
2 4146
 
3.0%
7 4104
 
3.0%
9 3895
 
2.8%
Other Punctuation
ValueCountFrequency (%)
/ 40399
33.6%
. 39975
33.2%
& 19982
16.6%
? 10009
 
8.3%
: 9991
 
8.3%
" 46
 
< 0.1%
, 6
 
< 0.1%
! 4
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 29996
94.3%
< 914
 
2.9%
> 907
 
2.9%
Open Punctuation
ValueCountFrequency (%)
[ 8
88.9%
( 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
] 6
85.7%
) 1
 
14.3%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 394839
57.3%
Common 290137
42.1%
Hangul 3891
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
336
 
8.6%
305
 
7.8%
304
 
7.8%
304
 
7.8%
237
 
6.1%
228
 
5.9%
166
 
4.3%
165
 
4.2%
158
 
4.1%
155
 
4.0%
Other values (73) 1533
39.4%
Latin
ValueCountFrequency (%)
e 53007
13.4%
a 51482
13.0%
p 41474
10.5%
t 30025
 
7.6%
l 23010
 
5.8%
i 21562
 
5.5%
n 21555
 
5.5%
o 21541
 
5.5%
w 21482
 
5.4%
d 20006
 
5.1%
Other values (39) 89695
22.7%
Common
ValueCountFrequency (%)
1 55471
19.1%
/ 40399
13.9%
. 39975
13.8%
= 29996
10.3%
& 19982
 
6.9%
3 17472
 
6.0%
4 17058
 
5.9%
6 13012
 
4.5%
8 12383
 
4.3%
? 10009
 
3.4%
Other values (17) 34380
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684975
99.4%
Hangul 3891
 
0.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 55471
 
8.1%
e 53007
 
7.7%
a 51482
 
7.5%
p 41474
 
6.1%
/ 40399
 
5.9%
. 39975
 
5.8%
t 30025
 
4.4%
= 29996
 
4.4%
l 23010
 
3.4%
i 21562
 
3.1%
Other values (65) 298574
43.6%
Hangul
ValueCountFrequency (%)
336
 
8.6%
305
 
7.8%
304
 
7.8%
304
 
7.8%
237
 
6.1%
228
 
5.9%
166
 
4.3%
165
 
4.2%
158
 
4.1%
155
 
4.0%
Other values (73) 1533
39.4%
Number Forms
ValueCountFrequency (%)
1
100.0%

본문존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-12T17:03:48.704867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct630
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-10-10 00:00:00
Maximum2023-08-30 00:00:00
2023-12-12T17:03:48.893841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:49.123254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct502
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-10-10 00:00:00
Maximum2023-09-05 00:00:00
2023-12-12T17:03:49.324053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:49.507609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5980 
True
4020 
ValueCountFrequency (%)
False 5980
59.8%
True 4020
40.2%
2023-12-12T17:03:49.655910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T17:03:43.201691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:03:49.731880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공포번호조문내용등록여부
공포번호1.0000.075
조문내용등록여부0.0751.000
2023-12-12T17:03:49.860173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공포번호조문내용등록여부
공포번호1.0000.048
조문내용등록여부0.0481.000

Missing values

2023-12-12T17:03:43.367041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:03:43.573384image/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.

Sample

한글법령명영문법령명공포번호공포일자시행일자영문법령XML데이터본문존재여부등록일시수정일시조문내용등록여부
1218의료법 시행령ENFORCEMENT DECREE OF THE MEDICAL SERVICE ACT317742021-06-152021-06-30https://openlaw.klri.re.kr/openapi/elaw.do?id=lawmanager&hseq=57104&type=3Y2022-08-112022-08-11Y
15100우정사업본부 직제DECREE ON THE ORGANIZATION OF KOREA POST276962016-12-272016-12-27http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=44632&type=3Y2017-11-202017-11-20Y
10186소득세법 시행령ENFORCEMENT DECREE OF THE INCOME TAX ACT276532016-12-052016-12-05http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=33800&type=3Y2018-03-042022-09-15N
151516·25전쟁 납북피해 진상규명 및 납북피해자 명예회복에 관한 법률 시행령ENFORCEMENT DECREE OF THE ACT ON FINDING THE TRUTH OF THE DAMAGE FROM NORTH KOREA’S ABDUCTION DURING THE KOREAN WAR AND RESTORING HONOR OF THE VICTIMS265102015-09-082015-09-08http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=44697&type=3Y2017-11-202022-09-14N
15277과학기술유공자 예우 및 지원에 관한 법률 시행령ENFORCEMENT DECREE OF THE ACT ON THE HONORABLE TREATMENT OF AND SUPPORT FOR PERSONS OF DISTINGUISHED SERVICE TO SCIENCE AND TECHNOLOGY276792016-12-232016-12-23http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=42788&type=3Y2017-11-132017-11-13Y
8153중소기업창업 지원법 시행령ENFORCEMENT DECREE OF THE SUPPORT FOR SMALL AND MEDIUM ENTERPRISE ESTABLISHMENT ACT155981997-12-311998-01-01http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=40661&type=3Y2018-03-042022-09-15N
6406신에너지 및 재생에너지 개발·이용·보급 촉진법 시행령ENFORCEMENT DECREE OF THE ACT ON THE PROMOTION OF THE DEVELOPMENT, USE AND DIFFUSION OF NEW AND RENEWABLE ENERGY183442004-03-292004-03-29http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=45458&type=3Y2018-05-072022-09-15N
6849제주특별자치도 설치 및 국제자유도시 조성을 위한 특별법SPECIAL ACT ON THE ESTABLISHMENT OF JEJU SPECIAL SELF-GOVERNING PROVINCE AND THE DEVELOPMENT OF FREE INTERNATIONAL CITY137972016-01-192017-01-20http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=44496&type=3Y2018-03-262022-09-15N
8105지방교부세법LOCAL SUBSIDY ACT128542014-12-232015-01-01http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=41356&type=3Y2018-03-042022-09-15N
5850호스피스·완화의료 및 임종과정에 있는 환자의 연명의료결정에 관한 법률 시행령ENFORCEMENT DECREE OF THE ACT ON HOSPICE AND PALLIATIVE CARE AND DECISIONS ON LIFE-SUSTAINING TREATMENT FOR PATIENTS AT THE END OF LIFE286202018-02-022010-02-04http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=46610&type=3Y2018-06-182018-07-19Y
한글법령명영문법령명공포번호공포일자시행일자영문법령XML데이터본문존재여부등록일시수정일시조문내용등록여부
7070화학물질관리법 시행규칙ENFORCEMENT RULE OF THE CHEMICALS CONTROL ACT2572007-11-162007-11-16http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=38709&type=3Y2018-03-042022-09-15N
2725교통·에너지·환경세법TRAFFIC, ENERGY AND ENVIRONMENT TAX ACT160962018-12-312019-01-01http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=49856&type=3Y2020-09-242020-09-24Y
1847지방교육재정교부금법LOCAL EDUCATION SUBSIDY ACT177692020-12-292021-01-01https://openlaw.klri.re.kr/openapi/elaw.do?id=lawmanager&hseq=55614&type=3Y2021-10-142021-10-14Y
8382주식회사의 외부감사에 관한 법률ACT ON EXTERNAL AUDIT OF STOCK COMPANIES134532015-07-312015-07-31http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=35193&type=3Y2018-03-042022-09-15N
9449외국환거래법 시행령ENFORCEMENT DECREE OF THE FOREIGN EXCHANGE TRANSACTIONS ACT270382016-03-222016-03-22http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=37367&type=3Y2018-03-042022-09-15N
16190건축물의 분양에 관한 법률ACT ON SALE OF BUILDING UNITS138052016-01-192016-08-12http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=33922&type=3Y2017-04-242017-04-24Y
5317오존층 보호를 위한 특정물질의 제조규제 등에 관한 법률 시행령ENFORCEMENT DECREE OF THE ACT ON THE CONTROL, ETC. OF MANUFACTURE OF SPECIFIC SUBSTANCES FOR THE PROTECTION OF THE OZONE LAYER282122017-07-262017-07-26http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=45882&type=3Y2019-01-142019-01-14Y
3159독립공채상환에 관한 특별조치법 시행령ENFORCEMENT DECREE OF THE ACT ON SPECIAL MEASURES FOR THE REDEMPTION OF INDEPENDENCE PUBLIC BONDS244412013-03-232013-03-23http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=50277&type=3Y2020-05-152022-09-19N
17326국가를 당사자로 하는 계약에 관한 법률ACT ON CONTRACTS TO WHICH THE STATE IS A PARTY140382016-03-022016-09-03http://61.81.114.11/openapi/elaw.do?id=lawmanager&hseq=10771&type=3Y2016-10-102016-10-10Y
178주민투표법RESIDENTS' VOTING ACT188492022-04-262022-04-26https://openlaw.klri.re.kr/openapi/elaw.do?id=lawmanager&hseq=60701&type=3Y2023-05-122023-05-12Y