Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells2521
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory869.1 KiB
Average record size in memory89.0 B

Variable types

Numeric1
Text4
Categorical4
DateTime1

Dataset

Description관보는 자의적을 보면 관(官)이 발행하는 보(報)로서 정부의 정보를 국민에게 알려즈는 뉴스미디어입니다. 그리고 관보는 민간에서 발생하는 뉴스와는 달리 국가의 정보를 국민에게 알리기 위해 발행되는 간행물이며, 일회성으로 끝나는 정보가 아니라 단일 제목을 가지고 가장 오래 발행되고 있는 일종의 정기간행물입니다. 해당 파일은 국가기록원에서 보유하고 있는 관보 기록물의 건 내역을 정리한 자료입니다.
Author행정안전부 국가기록원
URLhttps://www.data.go.kr/data/15049391/fileData.do

Alerts

시대유형 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
생산기관 is highly overall correlated with 시대유형High correlation
고시기관 is highly overall correlated with 시대유형High correlation
순번 is highly overall correlated with 시대유형High correlation
편찬구분 is highly overall correlated with 시대유형High correlation
생산기관 is highly imbalanced (53.8%)Imbalance
고시기관 is highly imbalanced (59.8%)Imbalance
관보호 has 2521 (25.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:05:40.099344
Analysis finished2023-12-12 17:05:41.881726
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29539.346
Minimum17
Maximum58942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:05:41.957952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile3176.9
Q114862.5
median29501
Q344205
95-th percentile56003.3
Maximum58942
Range58925
Interquartile range (IQR)29342.5

Descriptive statistics

Standard deviation17002.178
Coefficient of variation (CV)0.57557732
Kurtosis-1.2044769
Mean29539.346
Median Absolute Deviation (MAD)14677.5
Skewness0.002875155
Sum2.9539346 × 108
Variance2.8907405 × 108
MonotonicityNot monotonic
2023-12-13T02:05:42.099433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36741 1
 
< 0.1%
37940 1
 
< 0.1%
30314 1
 
< 0.1%
32751 1
 
< 0.1%
43345 1
 
< 0.1%
51836 1
 
< 0.1%
35199 1
 
< 0.1%
17103 1
 
< 0.1%
39024 1
 
< 0.1%
32217 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
17 1
< 0.1%
18 1
< 0.1%
21 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
30 1
< 0.1%
31 1
< 0.1%
35 1
< 0.1%
51 1
< 0.1%
53 1
< 0.1%
ValueCountFrequency (%)
58942 1
< 0.1%
58933 1
< 0.1%
58924 1
< 0.1%
58919 1
< 0.1%
58917 1
< 0.1%
58912 1
< 0.1%
58906 1
< 0.1%
58905 1
< 0.1%
58902 1
< 0.1%
58899 1
< 0.1%

관보호
Text

MISSING 

Distinct3676
Distinct (%)49.2%
Missing2521
Missing (%)25.2%
Memory size156.2 KiB
2023-12-13T02:05:42.378782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.8954406
Min length3

Characters and Unicode

Total characters59050
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2526 ?
Unique (%)33.8%

Sample

1st row제15호
2nd row제330호
3rd row제359호
4th row제 2001-33호
5th row제2000-546호
ValueCountFrequency (%)
제 232
 
3.0%
제2001-1호 73
 
0.9%
제2000-1호 73
 
0.9%
제2000-2호 58
 
0.8%
제2001-2호 43
 
0.6%
제2001-3호 39
 
0.5%
제2000-4호 37
 
0.5%
제2000-3호 34
 
0.4%
제2001-4호 29
 
0.4%
제2001-6호 29
 
0.4%
Other values (3656) 7066
91.6%
2023-12-13T02:05:42.865747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10749
18.2%
호 7570
12.8%
제 7554
12.8%
1 7052
11.9%
2 6413
10.9%
- 4340
7.3%
9 3362
 
5.7%
3 2289
 
3.9%
4 2101
 
3.6%
5 2010
 
3.4%
Other values (15) 5610
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39251
66.5%
Other Letter 15136
 
25.6%
Dash Punctuation 4340
 
7.3%
Space Separator 243
 
0.4%
Other Punctuation 79
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 7570
50.0%
제 7554
49.9%
정 2
 
< 0.1%
공 2
 
< 0.1%
고 2
 
< 0.1%
단 1
 
< 0.1%
중 1
 
< 0.1%
도 1
 
< 0.1%
사 1
 
< 0.1%
소 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 10749
27.4%
1 7052
18.0%
2 6413
16.3%
9 3362
 
8.6%
3 2289
 
5.8%
4 2101
 
5.4%
5 2010
 
5.1%
6 1809
 
4.6%
8 1778
 
4.5%
7 1688
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 4340
100.0%
Space Separator
ValueCountFrequency (%)
243
100.0%
Other Punctuation
ValueCountFrequency (%)
, 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43914
74.4%
Hangul 15136
 
25.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10749
24.5%
1 7052
16.1%
2 6413
14.6%
- 4340
9.9%
9 3362
 
7.7%
3 2289
 
5.2%
4 2101
 
4.8%
5 2010
 
4.6%
6 1809
 
4.1%
8 1778
 
4.0%
Other values (4) 2011
 
4.6%
Hangul
ValueCountFrequency (%)
호 7570
50.0%
제 7554
49.9%
정 2
 
< 0.1%
공 2
 
< 0.1%
고 2
 
< 0.1%
단 1
 
< 0.1%
중 1
 
< 0.1%
도 1
 
< 0.1%
사 1
 
< 0.1%
소 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43914
74.4%
Hangul 15136
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10749
24.5%
1 7052
16.1%
2 6413
14.6%
- 4340
9.9%
9 3362
 
7.7%
3 2289
 
5.2%
4 2101
 
4.8%
5 2010
 
4.6%
6 1809
 
4.1%
8 1778
 
4.0%
Other values (4) 2011
 
4.6%
Hangul
ValueCountFrequency (%)
호 7570
50.0%
제 7554
49.9%
정 2
 
< 0.1%
공 2
 
< 0.1%
고 2
 
< 0.1%
단 1
 
< 0.1%
중 1
 
< 0.1%
도 1
 
< 0.1%
사 1
 
< 0.1%
소 1
 
< 0.1%

시대유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
조달관보
5463 
관보
4537 

Length

Max length4
Median length4
Mean length3.0926
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관보
2nd row조달관보
3rd row관보
4th row관보
5th row조달관보

Common Values

ValueCountFrequency (%)
조달관보 5463
54.6%
관보 4537
45.4%

Length

2023-12-13T02:05:43.069640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:05:43.224507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조달관보 5463
54.6%
관보 4537
45.4%

편찬구분
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공고
5633 
고시
1242 
기타
1118 
사령
 
437
대통령령
 
236
Other values (19)
1334 

Length

Max length5
Median length2
Mean length2.0661
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row기타
2nd row기타
3rd row각령
4th row고시
5th row공고

Common Values

ValueCountFrequency (%)
공고 5633
56.3%
고시 1242
 
12.4%
기타 1118
 
11.2%
사령 437
 
4.4%
대통령령 236
 
2.4%
부령 192
 
1.9%
각령 186
 
1.9%
휘보 179
 
1.8%
법률 169
 
1.7%
광고 154
 
1.5%
Other values (14) 454
 
4.5%

Length

2023-12-13T02:05:43.344183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공고 5633
56.3%
고시 1242
 
12.4%
기타 1118
 
11.2%
사령 437
 
4.4%
대통령령 236
 
2.4%
부령 192
 
1.9%
각령 186
 
1.9%
휘보 179
 
1.8%
법률 169
 
1.7%
광고 154
 
1.5%
Other values (14) 454
 
4.5%

관보명
Text

Distinct2772
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:05:43.551271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.4305
Min length2

Characters and Unicode

Total characters214305
Distinct characters47
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique988 ?
Unique (%)9.9%

Sample

1st row관보제336호(1950년4월25일)
2nd row조달관보제14984호(2001.12.22)
3rd row관보제3037호(1961년12월30일)
4th row관보제2090호(1958년7월26일)
5th row조달관보제14810호(2001.5.26)
ValueCountFrequency (%)
관보 1428
 
9.9%
1월 318
 
2.2%
2월 251
 
1.7%
3월 216
 
1.5%
4월 197
 
1.4%
5월 130
 
0.9%
11월 94
 
0.7%
20일 68
 
0.5%
1일 67
 
0.5%
12월 66
 
0.5%
Other values (2805) 11535
80.3%
2023-12-13T02:05:43.897839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26873
 
12.5%
0 16194
 
7.6%
2 16047
 
7.5%
9 12497
 
5.8%
. 10926
 
5.1%
4 10484
 
4.9%
( 10026
 
4.7%
) 10026
 
4.7%
관 10008
 
4.7%
보 10000
 
4.7%
Other values (37) 81224
37.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114396
53.4%
Other Letter 64538
30.1%
Other Punctuation 10926
 
5.1%
Open Punctuation 10031
 
4.7%
Close Punctuation 10031
 
4.7%
Space Separator 4372
 
2.0%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 10008
15.5%
보 10000
15.5%
호 9975
15.5%
제 9920
15.4%
조 5463
8.5%
달 5463
8.5%
일 4514
7.0%
월 4512
7.0%
년 4512
7.0%
외 62
 
0.1%
Other values (20) 109
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 26873
23.5%
0 16194
14.2%
2 16047
14.0%
9 12497
10.9%
4 10484
 
9.2%
6 7437
 
6.5%
5 7012
 
6.1%
3 6835
 
6.0%
7 5657
 
4.9%
8 5360
 
4.7%
Open Punctuation
ValueCountFrequency (%)
( 10026
> 99.9%
[ 5
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 10026
> 99.9%
] 5
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 10926
100.0%
Space Separator
ValueCountFrequency (%)
4372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 149767
69.9%
Hangul 64538
30.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 10008
15.5%
보 10000
15.5%
호 9975
15.5%
제 9920
15.4%
조 5463
8.5%
달 5463
8.5%
일 4514
7.0%
월 4512
7.0%
년 4512
7.0%
외 62
 
0.1%
Other values (20) 109
 
0.2%
Common
ValueCountFrequency (%)
1 26873
17.9%
0 16194
10.8%
2 16047
10.7%
9 12497
8.3%
. 10926
7.3%
4 10484
 
7.0%
( 10026
 
6.7%
) 10026
 
6.7%
6 7437
 
5.0%
5 7012
 
4.7%
Other values (7) 22245
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 149767
69.9%
Hangul 64538
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26873
17.9%
0 16194
10.8%
2 16047
10.7%
9 12497
8.3%
. 10926
7.3%
4 10484
 
7.0%
( 10026
 
6.7%
) 10026
 
6.7%
6 7437
 
5.0%
5 7012
 
4.7%
Other values (7) 22245
14.9%
Hangul
ValueCountFrequency (%)
관 10008
15.5%
보 10000
15.5%
호 9975
15.5%
제 9920
15.4%
조 5463
8.5%
달 5463
8.5%
일 4514
7.0%
월 4512
7.0%
년 4512
7.0%
외 62
 
0.1%
Other values (20) 109
 
0.2%

고시명
Text

Distinct8895
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:05:44.208221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length55
Mean length26.5953
Min length2

Characters and Unicode

Total characters265953
Distinct characters552
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8744 ?
Unique (%)87.4%

Sample

1st row서울특별시소독및환자수송수수료조례중개정(서울특별시조례제15호)
2nd row부정당업자 제재 통보(진해시)
3rd row조세범처벌절차법시행령중개정의건(각령제330호)
4th row토지개량시행(강원도고시제359호)
5th row구매계약 입찰공고(서울철도차량 정비창 공고 제 2001-33호)
ValueCountFrequency (%)
내자 685
 
3.6%
조달물자 645
 
3.4%
구매 599
 
3.2%
입찰 371
 
2.0%
공고 349
 
1.8%
긴급 324
 
1.7%
제 276
 
1.5%
긴급입찰 174
 
0.9%
물품구매 146
 
0.8%
색인목록 119
 
0.6%
Other values (9860) 15181
80.5%
2023-12-13T02:05:44.702898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13965
 
5.3%
공 12450
 
4.7%
고 12422
 
4.7%
제 10136
 
3.8%
( 9822
 
3.7%
) 9763
 
3.7%
호 9126
 
3.4%
8888
 
3.3%
1 8708
 
3.3%
2 8257
 
3.1%
Other values (542) 162416
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181217
68.1%
Decimal Number 49734
 
18.7%
Open Punctuation 9839
 
3.7%
Close Punctuation 9779
 
3.7%
Space Separator 8888
 
3.3%
Dash Punctuation 5680
 
2.1%
Other Punctuation 383
 
0.1%
Math Symbol 259
 
0.1%
Uppercase Letter 165
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 12450
 
6.9%
고 12422
 
6.9%
제 10136
 
5.6%
호 9126
 
5.0%
자 4924
 
2.7%
입 4502
 
2.5%
찰 4465
 
2.5%
조 4303
 
2.4%
시 3804
 
2.1%
부 3788
 
2.1%
Other values (490) 111297
61.4%
Uppercase Letter
ValueCountFrequency (%)
K 48
29.1%
S 40
24.2%
C 13
 
7.9%
B 8
 
4.8%
D 8
 
4.8%
L 7
 
4.2%
M 7
 
4.2%
A 6
 
3.6%
E 5
 
3.0%
P 4
 
2.4%
Other values (9) 19
 
11.5%
Decimal Number
ValueCountFrequency (%)
0 13965
28.1%
1 8708
17.5%
2 8257
16.6%
9 4580
 
9.2%
3 2818
 
5.7%
4 2633
 
5.3%
5 2442
 
4.9%
6 2171
 
4.4%
8 2125
 
4.3%
7 2035
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
11.1%
v 1
11.1%
e 1
11.1%
r 1
11.1%
i 1
11.1%
o 1
11.1%
n 1
11.1%
u 1
11.1%
p 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 276
72.1%
. 92
 
24.0%
· 12
 
3.1%
; 2
 
0.5%
/ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 97
37.5%
> 81
31.3%
< 81
31.3%
Open Punctuation
ValueCountFrequency (%)
( 9822
99.8%
[ 17
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 9763
99.8%
] 16
 
0.2%
Space Separator
ValueCountFrequency (%)
8888
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5680
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181217
68.1%
Common 84562
31.8%
Latin 174
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 12450
 
6.9%
고 12422
 
6.9%
제 10136
 
5.6%
호 9126
 
5.0%
자 4924
 
2.7%
입 4502
 
2.5%
찰 4465
 
2.5%
조 4303
 
2.4%
시 3804
 
2.1%
부 3788
 
2.1%
Other values (490) 111297
61.4%
Latin
ValueCountFrequency (%)
K 48
27.6%
S 40
23.0%
C 13
 
7.5%
B 8
 
4.6%
D 8
 
4.6%
L 7
 
4.0%
M 7
 
4.0%
A 6
 
3.4%
E 5
 
2.9%
P 4
 
2.3%
Other values (18) 28
16.1%
Common
ValueCountFrequency (%)
0 13965
16.5%
( 9822
11.6%
) 9763
11.5%
8888
10.5%
1 8708
10.3%
2 8257
9.8%
- 5680
6.7%
9 4580
 
5.4%
3 2818
 
3.3%
4 2633
 
3.1%
Other values (14) 9448
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181217
68.1%
ASCII 84724
31.9%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13965
16.5%
( 9822
11.6%
) 9763
11.5%
8888
10.5%
1 8708
10.3%
2 8257
9.7%
- 5680
6.7%
9 4580
 
5.4%
3 2818
 
3.3%
4 2633
 
3.1%
Other values (41) 9610
11.3%
Hangul
ValueCountFrequency (%)
공 12450
 
6.9%
고 12422
 
6.9%
제 10136
 
5.6%
호 9126
 
5.0%
자 4924
 
2.7%
입 4502
 
2.5%
찰 4465
 
2.5%
조 4303
 
2.4%
시 3804
 
2.1%
부 3788
 
2.1%
Other values (490) 111297
61.4%
None
ValueCountFrequency (%)
· 12
100.0%

발행날짜
Date

Distinct2769
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1949-07-01 00:00:00
Maximum2001-12-31 00:00:00
2023-12-13T02:05:44.863594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:05:45.036511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
행정자치부 기획관리실 법무담당관
5463 
기타
1708 
체신부
 
430
교통부
 
264
대통령비서실
 
234
Other values (45)
1901 

Length

Max length21
Median length17
Mean length10.7134
Min length2

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st row서울특별시
2nd row행정자치부 기획관리실 법무담당관
3rd row기타
4th row강원도
5th row행정자치부 기획관리실 법무담당관

Common Values

ValueCountFrequency (%)
행정자치부 기획관리실 법무담당관 5463
54.6%
기타 1708
 
17.1%
체신부 430
 
4.3%
교통부 264
 
2.6%
대통령비서실 234
 
2.3%
해무청 231
 
2.3%
내무부 226
 
2.3%
상공부 205
 
2.1%
보건사회부 190
 
1.9%
농림부 151
 
1.5%
Other values (40) 898
 
9.0%

Length

2023-12-13T02:05:45.213553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
행정자치부 5464
25.9%
법무담당관 5463
25.9%
기획관리실 5463
25.9%
기타 1708
 
8.1%
체신부 464
 
2.2%
교통부 264
 
1.3%
대통령비서실 234
 
1.1%
해무청 231
 
1.1%
내무부 226
 
1.1%
상공부 205
 
1.0%
Other values (48) 1357
 
6.4%

고시기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
행정자치부 기획관리실 법무담당관
5463 
총무처 법무담당관
4153 
총무처 총무과
 
353
경찰청 강원도지방경찰청 정보과
 
11
경찰청 서울특별시지방경찰청 용산경찰서 정보과
 
8
Other values (3)
 
12

Length

Max length24
Median length17
Mean length13.3312
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row총무처 총무과
2nd row행정자치부 기획관리실 법무담당관
3rd row총무처 법무담당관
4th row총무처 법무담당관
5th row행정자치부 기획관리실 법무담당관

Common Values

ValueCountFrequency (%)
행정자치부 기획관리실 법무담당관 5463
54.6%
총무처 법무담당관 4153
41.5%
총무처 총무과 353
 
3.5%
경찰청 강원도지방경찰청 정보과 11
 
0.1%
경찰청 서울특별시지방경찰청 용산경찰서 정보과 8
 
0.1%
총무처 기획관리실 법무담당관 7
 
0.1%
경찰청 인천직할시지방경찰청 동부경찰서 정보과 3
 
< 0.1%
경찰청 인천직할시지방경찰청 부평경찰서 경무과 2
 
< 0.1%

Length

2023-12-13T02:05:45.359839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:05:45.505897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법무담당관 9623
37.7%
기획관리실 5470
21.4%
행정자치부 5463
21.4%
총무처 4513
17.7%
총무과 353
 
1.4%
경찰청 24
 
0.1%
정보과 22
 
0.1%
강원도지방경찰청 11
 
< 0.1%
서울특별시지방경찰청 8
 
< 0.1%
용산경찰서 8
 
< 0.1%
Other values (4) 12
 
< 0.1%

관리번호
Text

Distinct2774
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:05:45.787324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters90000
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique989 ?
Unique (%)9.9%

Sample

1st rowBA0158785
2nd rowBA0752584
3rd rowBA0188785
4th rowBA0187801
5th rowBA0752410
ValueCountFrequency (%)
ba0189094 26
 
0.3%
ba0752369 24
 
0.2%
ba0752372 24
 
0.2%
ba0752484 23
 
0.2%
ba0188711 22
 
0.2%
ba0752541 20
 
0.2%
ba0752375 20
 
0.2%
ba0752378 20
 
0.2%
ba0752405 19
 
0.2%
ba0752358 19
 
0.2%
Other values (2764) 9783
97.8%
2023-12-13T02:05:46.280005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12540
13.9%
8 12256
13.6%
B 10000
11.1%
A 10000
11.1%
5 9417
10.5%
1 7356
8.2%
7 7231
8.0%
9 5747
6.4%
2 5302
5.9%
6 3586
 
4.0%
Other values (2) 6565
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70000
77.8%
Uppercase Letter 20000
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12540
17.9%
8 12256
17.5%
5 9417
13.5%
1 7356
10.5%
7 7231
10.3%
9 5747
8.2%
2 5302
7.6%
6 3586
 
5.1%
3 3324
 
4.7%
4 3241
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 10000
50.0%
A 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
77.8%
Latin 20000
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12540
17.9%
8 12256
17.5%
5 9417
13.5%
1 7356
10.5%
7 7231
10.3%
9 5747
8.2%
2 5302
7.6%
6 3586
 
5.1%
3 3324
 
4.7%
4 3241
 
4.6%
Latin
ValueCountFrequency (%)
B 10000
50.0%
A 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12540
13.9%
8 12256
13.6%
B 10000
11.1%
A 10000
11.1%
5 9417
10.5%
1 7356
8.2%
7 7231
8.0%
9 5747
6.4%
2 5302
5.9%
6 3586
 
4.0%
Other values (2) 6565
7.3%

Interactions

2023-12-13T02:05:41.492752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:05:46.416844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시대유형편찬구분생산기관고시기관
순번1.0000.9970.6420.7570.667
시대유형0.9971.0000.9221.0001.000
편찬구분0.6420.9221.0000.8740.700
생산기관0.7571.0000.8741.0000.744
고시기관0.6671.0000.7000.7441.000
2023-12-13T02:05:46.549028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시대유형생산기관편찬구분고시기관
시대유형1.0000.9980.7941.000
생산기관0.9981.0000.3830.390
편찬구분0.7940.3831.0000.327
고시기관1.0000.3900.3271.000
2023-12-13T02:05:46.678049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시대유형편찬구분생산기관고시기관
순번1.0000.9500.2960.3490.397
시대유형0.9501.0000.7940.9981.000
편찬구분0.2960.7941.0000.3830.327
생산기관0.3490.9980.3831.0000.390
고시기관0.3971.0000.3270.3901.000

Missing values

2023-12-13T02:05:41.627820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:05:41.792078image/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

순번관보호시대유형편찬구분관보명고시명발행날짜생산기관고시기관관리번호
3674036741제15호관보기타관보제336호(1950년4월25일)서울특별시소독및환자수송수수료조례중개정(서울특별시조례제15호)1950-04-25서울특별시총무처 총무과BA0158785
3107931080<NA>조달관보기타조달관보제14984호(2001.12.22)부정당업자 제재 통보(진해시)2001-12-22행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0752584
5273552736제330호관보각령관보제3037호(1961년12월30일)조세범처벌절차법시행령중개정의건(각령제330호)1961-12-30기타총무처 법무담당관BA0188785
4107441075제359호관보고시관보제2090호(1958년7월26일)토지개량시행(강원도고시제359호)1958-07-26강원도총무처 법무담당관BA0187801
2408424085제 2001-33호조달관보공고조달관보제14810호(2001.5.26)구매계약 입찰공고(서울철도차량 정비창 공고 제 2001-33호)2001-05-26행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0752410
1335813359제2000-546호조달관보공고조달관보제14616호(2000.9.30)기술용역긴급입찰공고(철도청공고제2000-546호)2000-09-30행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0589745
1035010351제2000-21호조달관보공고조달관보제14537호(2000.6.24)긴급공사입찰공고(군산지방해양수산청공고제2000-21호)2000-06-24행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0589679
1549815499제200011-277호조달관보공고조달관보제14664호(2000.11.27)조달물자내자구매긴급입찰공고(조달청내자공고제200011-277호)2000-11-27행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0589785
2464624647제2001-2호조달관보공고조달관보제14879호(2001.8.18)물품구매 입찰공고(경남자영고등학교공고 제2001-2호)2001-08-18행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0752479
1649916500제2000-31호조달관보공고조달관보제14686호(2000.12.22)공사긴급입찰공고(울산지방해양수산청공고제2000-31호)2000-12-22행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0589803
순번관보호시대유형편찬구분관보명고시명발행날짜생산기관고시기관관리번호
1164311644제2000-429호조달관보공고조달관보제14572호(2000.8.5)긴급공사입찰공고(조달청시설공고제2000-429호)2000-08-05행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0589708
3398333984제547호관보고시관보제2746호(1960년12월27일)서울도시계획공원일부변경계획(내무부고시제547호)1960-12-27내무부총무처 법무담당관BA0188481
4938749388<NA>관보기타관보 제2845호(1961년 5월 2일)광고(공시최고)1961-05-02기타총무처 법무담당관BA0188583
4856448565<NA>관보기타관보자동향전출입관찰보호자동향(주소이동)보고통보하달1978-06-27기타경찰청 서울특별시지방경찰청 용산경찰서 정보과BA0184270
1317913180<NA>조달관보공고조달관보제14612호(2000.9.26)조달물자내자구매긴급입찰공고(제주지방조달청공고제2000-10호)2000-09-26행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0589742
5257452575제311호관보각령관보제3031호(1961년12월22일)도와서울특별시의행정기구에관한건중개정의건(각령제311호)1961-12-22기타총무처 법무담당관BA0188779
2058420585제2001-55호조달관보공고조달관보제14788호(2001.4.28)공사 입찰 공고(서울 은평구공고 제2001-55호)2001-04-28행정자치부 기획관리실 법무담당관행정자치부 기획관리실 법무담당관BA0752388
4264042641<NA>관보휘보관보제1829호(1957년7월13일)휘보(산업.무역)1957-07-13기타총무처 법무담당관BA0187528
4254442545제790호관보고시관보제1888호(1957년10월10일)외국전보요금표중개정(체신부고시제790호)1957-10-10체신부총무처 법무담당관BA0187587
3488634887<NA>관보휘보관보제2666호(1960년9월8일)휘보(산업)1960-09-08기타총무처 법무담당관BA0188400