Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells6
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory53.6 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description우리 구에 신고된 행정사사무소 현황(행정사 종류, 사무소명, 대표행정사 성명, 행정사사무소 연락처, 행정사사무소 주소, 신고일자)을 제공합니다.
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15003529/fileData.do

Alerts

대표전화 has 6 (26.1%) missing valuesMissing
대표자명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:35:51.535557
Analysis finished2024-03-14 11:35:52.458714
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정사 종류
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
일반행정사
18 
외국어번역행정사(중국어)
2 
해사행정사
 
1
외국어번역행정사(독일어)
 
1
외국어번역행정사(영어)
 
1

Length

Max length13
Median length5
Mean length6.3478261
Min length5

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row일반행정사
2nd row일반행정사
3rd row외국어번역행정사(중국어)
4th row일반행정사
5th row외국어번역행정사(중국어)

Common Values

ValueCountFrequency (%)
일반행정사 18
78.3%
외국어번역행정사(중국어) 2
 
8.7%
해사행정사 1
 
4.3%
외국어번역행정사(독일어) 1
 
4.3%
외국어번역행정사(영어) 1
 
4.3%

Length

2024-03-14T20:35:52.706887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:35:52.998199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 18
78.3%
외국어번역행정사(중국어 2
 
8.7%
해사행정사 1
 
4.3%
외국어번역행정사(독일어 1
 
4.3%
외국어번역행정사(영어 1
 
4.3%

사무소명
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T20:35:53.591095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.6521739
Min length5

Characters and Unicode

Total characters199
Distinct characters59
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st rowPYB행정사사무소
2nd row국제이민행정사
3rd row남경번역사
4th row네이션국제업무행정사
5th row델타번역행정사사무소
ValueCountFrequency (%)
행정사법인 4
 
12.5%
태백 4
 
12.5%
행정사 3
 
9.4%
부산해항회 2
 
6.2%
사무소 2
 
6.2%
센텀 1
 
3.1%
합동행정사사무소 1
 
3.1%
중화모티브행정사사무소 1
 
3.1%
중부산행정사사무소 1
 
3.1%
일반행정서사강용대사무소 1
 
3.1%
Other values (12) 12
37.5%
2024-03-14T20:35:54.487056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 33
16.6%
정 21
 
10.6%
행 20
 
10.1%
무 12
 
6.0%
소 11
 
5.5%
9
 
4.5%
산 7
 
3.5%
부 6
 
3.0%
인 5
 
2.5%
태 4
 
2.0%
Other values (49) 71
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
94.0%
Space Separator 9
 
4.5%
Uppercase Letter 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 33
17.6%
정 21
 
11.2%
행 20
 
10.7%
무 12
 
6.4%
소 11
 
5.9%
산 7
 
3.7%
부 6
 
3.2%
인 5
 
2.7%
태 4
 
2.1%
백 4
 
2.1%
Other values (45) 64
34.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
Y 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
94.0%
Common 9
 
4.5%
Latin 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 33
17.6%
정 21
 
11.2%
행 20
 
10.7%
무 12
 
6.4%
소 11
 
5.9%
산 7
 
3.7%
부 6
 
3.2%
인 5
 
2.7%
태 4
 
2.1%
백 4
 
2.1%
Other values (45) 64
34.2%
Latin
ValueCountFrequency (%)
P 1
33.3%
Y 1
33.3%
B 1
33.3%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
94.0%
ASCII 12
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 33
17.6%
정 21
 
11.2%
행 20
 
10.7%
무 12
 
6.4%
소 11
 
5.9%
산 7
 
3.7%
부 6
 
3.2%
인 5
 
2.7%
태 4
 
2.1%
백 4
 
2.1%
Other values (45) 64
34.2%
ASCII
ValueCountFrequency (%)
9
75.0%
P 1
 
8.3%
Y 1
 
8.3%
B 1
 
8.3%

사무소 주소
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T20:35:55.230353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length31.130435
Min length23

Characters and Unicode

Total characters716
Distinct characters60
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

Unique19 ?
Unique (%)82.6%

Sample

1st row부산광역시 중구 중앙대로 131, 센트럴오피스텔 705호(대창동1가)
2nd row부산광역시 중구 중앙대로 144, 동산빌딩 503호 (중앙동4가)
3rd row부산광역시 중구 해관로 69-1 (중앙동4가)
4th row부산광역시 중구 충장대로5번길 58, 2층 202B호 (중앙동4가)
5th row부산광역시 중구 충장대로5번길 18, 풍원빌딩 201호 (중앙동4가)
ValueCountFrequency (%)
부산광역시 23
16.5%
중구 23
16.5%
중앙대로 13
 
9.4%
중앙동4가 11
 
7.9%
대창동2가 6
 
4.3%
141 5
 
3.6%
201호 5
 
3.6%
충장대로5번길 3
 
2.2%
해관로 3
 
2.2%
유창빌딩 2
 
1.4%
Other values (42) 45
32.4%
2024-03-14T20:35:56.496389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
16.2%
중 50
 
7.0%
1 30
 
4.2%
부 27
 
3.8%
앙 27
 
3.8%
2 27
 
3.8%
대 26
 
3.6%
산 25
 
3.5%
동 24
 
3.4%
) 23
 
3.2%
Other values (50) 341
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
56.4%
Decimal Number 130
 
18.2%
Space Separator 116
 
16.2%
Close Punctuation 23
 
3.2%
Open Punctuation 23
 
3.2%
Other Punctuation 16
 
2.2%
Dash Punctuation 3
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 50
 
12.4%
부 27
 
6.7%
앙 27
 
6.7%
대 26
 
6.4%
산 25
 
6.2%
동 24
 
5.9%
가 23
 
5.7%
구 23
 
5.7%
시 23
 
5.7%
역 23
 
5.7%
Other values (34) 133
32.9%
Decimal Number
ValueCountFrequency (%)
1 30
23.1%
2 27
20.8%
4 22
16.9%
0 13
10.0%
5 9
 
6.9%
8 8
 
6.2%
6 7
 
5.4%
3 6
 
4.6%
7 4
 
3.1%
9 4
 
3.1%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
56.4%
Common 311
43.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 50
 
12.4%
부 27
 
6.7%
앙 27
 
6.7%
대 26
 
6.4%
산 25
 
6.2%
동 24
 
5.9%
가 23
 
5.7%
구 23
 
5.7%
시 23
 
5.7%
역 23
 
5.7%
Other values (34) 133
32.9%
Common
ValueCountFrequency (%)
116
37.3%
1 30
 
9.6%
2 27
 
8.7%
) 23
 
7.4%
( 23
 
7.4%
4 22
 
7.1%
, 16
 
5.1%
0 13
 
4.2%
5 9
 
2.9%
8 8
 
2.6%
Other values (5) 24
 
7.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
56.4%
ASCII 312
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
37.2%
1 30
 
9.6%
2 27
 
8.7%
) 23
 
7.4%
( 23
 
7.4%
4 22
 
7.1%
, 16
 
5.1%
0 13
 
4.2%
5 9
 
2.9%
8 8
 
2.6%
Other values (6) 25
 
8.0%
Hangul
ValueCountFrequency (%)
중 50
 
12.4%
부 27
 
6.7%
앙 27
 
6.7%
대 26
 
6.4%
산 25
 
6.2%
동 24
 
5.9%
가 23
 
5.7%
구 23
 
5.7%
시 23
 
5.7%
역 23
 
5.7%
Other values (34) 133
32.9%

대표자명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T20:35:57.239486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.6086957
Min length2

Characters and Unicode

Total characters83
Distinct characters55
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row박윤배
2nd row김약
3rd row최구환
4th row김익환
5th rowLIU CHUNG KUO(유충국)
ValueCountFrequency (%)
박윤배 1
 
4.0%
조준호 1
 
4.0%
박진홍 1
 
4.0%
정경해 1
 
4.0%
이창승 1
 
4.0%
박수원 1
 
4.0%
이중려 1
 
4.0%
이호중 1
 
4.0%
강용대 1
 
4.0%
최인성 1
 
4.0%
Other values (15) 15
60.0%
2024-03-14T20:35:58.260774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
10.8%
박 3
 
3.6%
이 3
 
3.6%
최 3
 
3.6%
환 3
 
3.6%
U 3
 
3.6%
용 2
 
2.4%
중 2
 
2.4%
성 2
 
2.4%
정 2
 
2.4%
Other values (45) 51
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
81.9%
Uppercase Letter 11
 
13.3%
Space Separator 2
 
2.4%
Open Punctuation 1
 
1.2%
Close Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
13.2%
박 3
 
4.4%
이 3
 
4.4%
최 3
 
4.4%
환 3
 
4.4%
용 2
 
2.9%
중 2
 
2.9%
성 2
 
2.9%
정 2
 
2.9%
호 2
 
2.9%
Other values (33) 37
54.4%
Uppercase Letter
ValueCountFrequency (%)
U 3
27.3%
N 1
 
9.1%
L 1
 
9.1%
G 1
 
9.1%
H 1
 
9.1%
K 1
 
9.1%
O 1
 
9.1%
C 1
 
9.1%
I 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
81.9%
Latin 11
 
13.3%
Common 4
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
13.2%
박 3
 
4.4%
이 3
 
4.4%
최 3
 
4.4%
환 3
 
4.4%
용 2
 
2.9%
중 2
 
2.9%
성 2
 
2.9%
정 2
 
2.9%
호 2
 
2.9%
Other values (33) 37
54.4%
Latin
ValueCountFrequency (%)
U 3
27.3%
N 1
 
9.1%
L 1
 
9.1%
G 1
 
9.1%
H 1
 
9.1%
K 1
 
9.1%
O 1
 
9.1%
C 1
 
9.1%
I 1
 
9.1%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
81.9%
ASCII 15
 
18.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
13.2%
박 3
 
4.4%
이 3
 
4.4%
최 3
 
4.4%
환 3
 
4.4%
용 2
 
2.9%
중 2
 
2.9%
성 2
 
2.9%
정 2
 
2.9%
호 2
 
2.9%
Other values (33) 37
54.4%
ASCII
ValueCountFrequency (%)
U 3
20.0%
2
13.3%
N 1
 
6.7%
L 1
 
6.7%
G 1
 
6.7%
H 1
 
6.7%
K 1
 
6.7%
O 1
 
6.7%
( 1
 
6.7%
) 1
 
6.7%
Other values (2) 2
13.3%

대표전화
Text

MISSING 

Distinct14
Distinct (%)82.4%
Missing6
Missing (%)26.1%
Memory size312.0 B
2024-03-14T20:35:58.958943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters204
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)76.5%

Sample

1st row051-442-5902
2nd row051-469-1181
3rd row051-464-7294
4th row051-442-0067
5th row051-469-3270
ValueCountFrequency (%)
051-711-4300 4
23.5%
051-442-5902 1
 
5.9%
051-469-1181 1
 
5.9%
051-464-7294 1
 
5.9%
051-442-0067 1
 
5.9%
051-469-3270 1
 
5.9%
051-600-8283 1
 
5.9%
051-469-6967 1
 
5.9%
051-462-6454 1
 
5.9%
051-245-1549 1
 
5.9%
Other values (4) 4
23.5%
2024-03-14T20:36:00.005022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 34
16.7%
0 33
16.2%
1 32
15.7%
4 27
13.2%
5 24
11.8%
6 14
6.9%
2 9
 
4.4%
9 9
 
4.4%
7 8
 
3.9%
3 8
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 170
83.3%
Dash Punctuation 34
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
19.4%
1 32
18.8%
4 27
15.9%
5 24
14.1%
6 14
8.2%
2 9
 
5.3%
9 9
 
5.3%
7 8
 
4.7%
3 8
 
4.7%
8 6
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 34
16.7%
0 33
16.2%
1 32
15.7%
4 27
13.2%
5 24
11.8%
6 14
6.9%
2 9
 
4.4%
9 9
 
4.4%
7 8
 
3.9%
3 8
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 34
16.7%
0 33
16.2%
1 32
15.7%
4 27
13.2%
5 24
11.8%
6 14
6.9%
2 9
 
4.4%
9 9
 
4.4%
7 8
 
3.9%
3 8
 
3.9%

개업신고일
Date

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum1996-01-08 00:00:00
Maximum2023-10-06 00:00:00
2024-03-14T20:36:00.378475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:36:00.731737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

Correlations

2024-03-14T20:36:00.959549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정사 종류사무소명사무소 주소대표자명대표전화개업신고일
행정사 종류1.0001.0001.0001.0001.0001.000
사무소명1.0001.0001.0001.0001.0001.000
사무소 주소1.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.000
대표전화1.0001.0001.0001.0001.0001.000
개업신고일1.0001.0001.0001.0001.0001.000

Missing values

2024-03-14T20:35:51.970163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:35:52.323055image/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

행정사 종류사무소명사무소 주소대표자명대표전화개업신고일
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2외국어번역행정사(중국어)남경번역사부산광역시 중구 해관로 69-1 (중앙동4가)최구환051-469-11812000-06-20
3일반행정사네이션국제업무행정사부산광역시 중구 충장대로5번길 58, 2층 202B호 (중앙동4가)김익환051-464-72942006-07-11
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6해사행정사부산항만산업행정기술사사무소부산광역시 중구 충장대로9번길 52, 1606호 (중앙동4가, 마린센터)김인태051-469-32702009-09-10
7일반행정사부산해항회 행정사부산광역시 중구 중앙대로 72, 유창빌딩 6층 (중앙동4가)김대우<NA>2019-11-22
8일반행정사부산해항회 행정사 사무소부산광역시 중구 중앙대로 72, 유창빌딩 605호 (중앙동4가)김형남051-600-82832019-05-16
9일반행정사부산행정사부산광역시 중구 해관로 49-1 (중앙동3가)최봉환051-469-69672017-06-12
행정사 종류사무소명사무소 주소대표자명대표전화개업신고일
13일반행정사열린행정사사무소부산광역시 중구 흑교로 28-2 (부평동2가)김동일051-441-50502016-08-09
14일반행정사유림행정사부산광역시 중구 중앙대로 147 (대창동2가)최인성051-464-15632018-05-02
15일반행정사일반행정서사강용대사무소부산광역시 중구 해관로 88 (대창동1가)강용대051-469-88131996-01-08
16일반행정사중부산행정사사무소부산광역시 중구 부평2길 39 (부평동2가)이호중<NA>2016-08-10
17일반행정사중화모티브행정사사무소부산광역시 중구 중앙대로 148, 2층 (중앙동4가)이중려<NA>2016-10-25
18일반행정사합동행정사사무소부산광역시 중구 중앙대로81번길 4 (중앙동4가)박수원051-464-49822006-12-05
19일반행정사행정사법인 태백부산광역시 중구 중앙대로 141, 201호 (대창동2가)이창승051-711-43002023-10-06
20일반행정사행정사법인 태백부산광역시 중구 중앙대로 141, 201호 (대창동2가)정경해051-711-43002023-10-06
21일반행정사행정사법인 태백부산광역시 중구 중앙대로 141, 201호 (대창동2가)박진홍051-711-43002023-10-06
22일반행정사행정사법인 태백부산광역시 중구 중앙대로 141, 201호 (대창동2가)김성주051-711-43002023-10-06