Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells182
Missing cells (%)0.3%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Text2
DateTime2
Categorical2

Dataset

Description법률에 대한 공포일자, 시행일자를 관리하는 데이터로, 게재발행명, 소관부처명, 공포일자 및 시행일자, 제개정 구분명, 법령구분명의 항목을 제공합니다.
Author법제처
URLhttps://www.data.go.kr/data/15123419/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
제개정구분명 is highly imbalanced (77.9%)Imbalance
소관부처명 has 182 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:14:53.328787
Analysis finished2023-12-12 07:14:54.364788
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게재발행명
Text

Distinct7932
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:14:54.634009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length69
Mean length25.9819
Min length3

Characters and Unicode

Total characters259819
Distinct characters691
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6723 ?
Unique (%)67.2%

Sample

1st row군인복무규율 일부개정법률<안> 입법예고
2nd row공동주택관리법 시행령 일부개정령
3rd row겨레말큰사전남북공동편찬사업회법 일부개정법률
4th row물류시설의 개발 및 운영에 관한 법률 시행규칙 일부개정령
5th row해양경찰장비 도입에 관한 착수금 및 중도금 지급규칙
ValueCountFrequency (%)
입법예고 3329
 
6.5%
관한 3170
 
6.2%
일부개정령 3098
 
6.0%
시행령 2360
 
4.6%
시행규칙 2321
 
4.5%
및 2002
 
3.9%
법률 1810
 
3.5%
일부개정법률 1368
 
2.7%
일부개정령<안 1323
 
2.6%
등에 777
 
1.5%
Other values (6937) 29675
57.9%
2023-12-12T16:14:55.160019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43405
 
16.7%
법 12639
 
4.9%
정 11728
 
4.5%
부 9489
 
3.7%
개 9194
 
3.5%
령 8994
 
3.5%
일 8351
 
3.2%
시 6522
 
2.5%
행 6039
 
2.3%
관 5871
 
2.3%
Other values (681) 137587
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206109
79.3%
Space Separator 43405
 
16.7%
Math Symbol 4947
 
1.9%
Close Punctuation 1695
 
0.7%
Open Punctuation 1687
 
0.6%
Other Punctuation 940
 
0.4%
Decimal Number 864
 
0.3%
Uppercase Letter 143
 
0.1%
Dash Punctuation 15
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other values (5) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 12639
 
6.1%
정 11728
 
5.7%
부 9489
 
4.6%
개 9194
 
4.5%
령 8994
 
4.4%
일 8351
 
4.1%
시 6522
 
3.2%
행 6039
 
2.9%
관 5871
 
2.8%
고 4907
 
2.4%
Other values (626) 122375
59.4%
Uppercase Letter
ValueCountFrequency (%)
C 29
20.3%
S 25
17.5%
F 21
14.7%
N 20
14.0%
K 9
 
6.3%
T 6
 
4.2%
A 6
 
4.2%
P 6
 
4.2%
G 5
 
3.5%
D 4
 
2.8%
Other values (8) 12
8.4%
Decimal Number
ValueCountFrequency (%)
2 202
23.4%
1 199
23.0%
0 132
15.3%
3 62
 
7.2%
5 62
 
7.2%
4 51
 
5.9%
6 51
 
5.9%
8 37
 
4.3%
7 35
 
4.1%
9 33
 
3.8%
Math Symbol
ValueCountFrequency (%)
> 2472
50.0%
< 2472
50.0%
~ 2
 
< 0.1%
∼ 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
· 862
91.7%
, 64
 
6.8%
. 13
 
1.4%
& 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 840
49.6%
) 384
22.7%
」 273
 
16.1%
〉 198
 
11.7%
Open Punctuation
ValueCountFrequency (%)
[ 839
49.7%
( 383
22.7%
「 267
 
15.8%
〈 198
 
11.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
a 1
25.0%
n 1
25.0%
Letter Number
ValueCountFrequency (%)
Ⅳ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
43405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205880
79.2%
Common 53560
 
20.6%
Han 229
 
0.1%
Latin 150
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 12639
 
6.1%
정 11728
 
5.7%
부 9489
 
4.6%
개 9194
 
4.5%
령 8994
 
4.4%
일 8351
 
4.1%
시 6522
 
3.2%
행 6039
 
2.9%
관 5871
 
2.9%
고 4907
 
2.4%
Other values (516) 122146
59.3%
Han
ValueCountFrequency (%)
自 13
 
5.7%
然 13
 
5.7%
圖 12
 
5.2%
生 12
 
5.2%
態 12
 
5.2%
法 11
 
4.8%
國 8
 
3.5%
議 6
 
2.6%
律 4
 
1.7%
民 4
 
1.7%
Other values (100) 134
58.5%
Common
ValueCountFrequency (%)
43405
81.0%
> 2472
 
4.6%
< 2472
 
4.6%
· 862
 
1.6%
] 840
 
1.6%
[ 839
 
1.6%
) 384
 
0.7%
( 383
 
0.7%
」 273
 
0.5%
「 267
 
0.5%
Other values (22) 1363
 
2.5%
Latin
ValueCountFrequency (%)
C 29
19.3%
S 25
16.7%
F 21
14.0%
N 20
13.3%
K 9
 
6.0%
T 6
 
4.0%
A 6
 
4.0%
P 6
 
4.0%
G 5
 
3.3%
D 4
 
2.7%
Other values (13) 19
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205848
79.2%
ASCII 51902
 
20.0%
None 1798
 
0.7%
CJK 229
 
0.1%
Compat Jamo 32
 
< 0.1%
Punctuation 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43405
83.6%
> 2472
 
4.8%
< 2472
 
4.8%
] 840
 
1.6%
[ 839
 
1.6%
) 384
 
0.7%
( 383
 
0.7%
2 202
 
0.4%
1 199
 
0.4%
0 132
 
0.3%
Other values (34) 574
 
1.1%
Hangul
ValueCountFrequency (%)
법 12639
 
6.1%
정 11728
 
5.7%
부 9489
 
4.6%
개 9194
 
4.5%
령 8994
 
4.4%
일 8351
 
4.1%
시 6522
 
3.2%
행 6039
 
2.9%
관 5871
 
2.9%
고 4907
 
2.4%
Other values (515) 122114
59.3%
None
ValueCountFrequency (%)
· 862
47.9%
」 273
 
15.2%
「 267
 
14.8%
〈 198
 
11.0%
〉 198
 
11.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 32
100.0%
CJK
ValueCountFrequency (%)
自 13
 
5.7%
然 13
 
5.7%
圖 12
 
5.2%
生 12
 
5.2%
態 12
 
5.2%
法 11
 
4.8%
國 8
 
3.5%
議 6
 
2.6%
律 4
 
1.7%
民 4
 
1.7%
Other values (100) 134
58.5%
Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
’ 1
 
25.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 2
66.7%
Ⅱ 1
33.3%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

소관부처명
Text

MISSING 

Distinct124
Distinct (%)1.3%
Missing182
Missing (%)1.8%
Memory size156.2 KiB
2023-12-12T16:14:55.416328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length5
Mean length4.9614993
Min length2

Characters and Unicode

Total characters48712
Distinct characters165
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.2%

Sample

1st row국방부
2nd row국토교통부
3rd row통일부
4th row국토교통부
5th row해양경찰청
ValueCountFrequency (%)
행정안전부 710
 
7.2%
환경부 700
 
7.1%
국토교통부 643
 
6.5%
기획재정부 567
 
5.8%
보건복지부 521
 
5.3%
국토해양부 390
 
4.0%
법무부 366
 
3.7%
산업통상자원부 363
 
3.7%
문화체육관광부 313
 
3.2%
국방부 284
 
2.9%
Other values (114) 4961
50.5%
2023-12-12T16:14:56.130527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 7683
 
15.8%
정 1966
 
4.0%
국 1709
 
3.5%
통 1445
 
3.0%
경 1241
 
2.5%
산 1240
 
2.5%
교 1190
 
2.4%
기 1078
 
2.2%
안 1056
 
2.2%
전 1056
 
2.2%
Other values (155) 29048
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48708
> 99.9%
Decimal Number 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 7683
 
15.8%
정 1966
 
4.0%
국 1709
 
3.5%
통 1445
 
3.0%
경 1241
 
2.5%
산 1240
 
2.5%
교 1190
 
2.4%
기 1078
 
2.2%
안 1056
 
2.2%
전 1056
 
2.2%
Other values (151) 29044
59.6%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
1 1
33.3%
4 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48708
> 99.9%
Common 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 7683
 
15.8%
정 1966
 
4.0%
국 1709
 
3.5%
통 1445
 
3.0%
경 1241
 
2.5%
산 1240
 
2.5%
교 1190
 
2.4%
기 1078
 
2.2%
안 1056
 
2.2%
전 1056
 
2.2%
Other values (151) 29044
59.6%
Common
ValueCountFrequency (%)
6 1
25.0%
1 1
25.0%
. 1
25.0%
4 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48708
> 99.9%
ASCII 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 7683
 
15.8%
정 1966
 
4.0%
국 1709
 
3.5%
통 1445
 
3.0%
경 1241
 
2.5%
산 1240
 
2.5%
교 1190
 
2.4%
기 1078
 
2.2%
안 1056
 
2.2%
전 1056
 
2.2%
Other values (151) 29044
59.6%
ASCII
ValueCountFrequency (%)
6 1
25.0%
1 1
25.0%
. 1
25.0%
4 1
25.0%

공포일자
Date

Distinct3249
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2007-01-02 00:00:00
Maximum2023-08-30 00:00:00
2023-12-12T16:14:56.285024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:56.441847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시행일자
Date

Distinct3249
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2007-01-02 00:00:00
Maximum2023-08-30 00:00:00
2023-12-12T16:14:56.609527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:14:56.785911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제개정구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일부개정
8841 
제정
 
709
전부개정
 
295
폐지
 
85
일괄개정
 
34
Other values (4)
 
36

Length

Max length6
Median length4
Mean length3.8468
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일부개정
2nd row일부개정
3rd row일부개정
4th row일부개정
5th row제정

Common Values

ValueCountFrequency (%)
일부개정 8841
88.4%
제정 709
 
7.1%
전부개정 295
 
2.9%
폐지 85
 
0.9%
일괄개정 34
 
0.3%
개정(일괄) 18
 
0.2%
제정(일괄) 10
 
0.1%
폐지제정 6
 
0.1%
일괄폐지 2
 
< 0.1%

Length

2023-12-12T16:14:56.922846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:57.045634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일부개정 8841
88.4%
제정 709
 
7.1%
전부개정 295
 
2.9%
폐지 85
 
0.9%
일괄개정 34
 
0.3%
개정(일괄 18
 
0.2%
제정(일괄 10
 
0.1%
폐지제정 6
 
0.1%
일괄폐지 2
 
< 0.1%

법령구분명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공고
4037 
대통령령
1811 
부령
1547 
법률
1510 
고시
884 
Other values (3)
 
211

Length

Max length6
Median length2
Mean length2.4037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공고
2nd row대통령령
3rd row법률
4th row부령
5th row고시

Common Values

ValueCountFrequency (%)
공고 4037
40.4%
대통령령 1811
18.1%
부령 1547
 
15.5%
법률 1510
 
15.1%
고시 884
 
8.8%
총리령 128
 
1.3%
대통령훈령 45
 
0.4%
국무총리훈령 38
 
0.4%

Length

2023-12-12T16:14:57.175439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:14:57.300756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공고 4037
40.4%
대통령령 1811
18.1%
부령 1547
 
15.5%
법률 1510
 
15.1%
고시 884
 
8.8%
총리령 128
 
1.3%
대통령훈령 45
 
0.4%
국무총리훈령 38
 
0.4%

Correlations

2023-12-12T16:14:57.388115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제개정구분명법령구분명
제개정구분명1.0000.146
법령구분명0.1461.000
2023-12-12T16:14:57.471931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법령구분명제개정구분명
법령구분명1.0000.072
제개정구분명0.0721.000
2023-12-12T16:14:57.603124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제개정구분명법령구분명
제개정구분명1.0000.072
법령구분명0.0721.000

Missing values

2023-12-12T16:14:54.148378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:14:54.308485image/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

게재발행명소관부처명공포일자시행일자제개정구분명법령구분명
27842군인복무규율 일부개정법률<안> 입법예고국방부2015-11-262015-11-26일부개정공고
61810공동주택관리법 시행령 일부개정령국토교통부2020-11-102020-11-10일부개정대통령령
52267겨레말큰사전남북공동편찬사업회법 일부개정법률통일부2019-01-152019-01-15일부개정법률
41309물류시설의 개발 및 운영에 관한 법률 시행규칙 일부개정령국토교통부2021-10-122021-10-12일부개정부령
69057해양경찰장비 도입에 관한 착수금 및 중도금 지급규칙해양경찰청2022-07-262022-07-26제정고시
45723국가보훈대상자 의료지원에 관한 규칙 일부개정령국가보훈처2012-06-292012-06-29일부개정총리령
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Duplicate rows

Most frequently occurring

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