Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells5
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory53.1 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description부산광역시중구_행정사현황_20221125
Author부산광역시 중구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15003529

Alerts

대표전화 has 5 (19.2%) missing valuesMissing
사무소명 has unique valuesUnique
사무소 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:37:03.195398
Analysis finished2023-12-10 16:37:03.845156
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정사 종류
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
일반행정사
20 
외국어번역행정사(중국어)
 
2
해사행정사
 
2
외국어번역행정사(영어)
 
1
외국어번역행정사(독일어)
 
1

Length

Max length13
Median length5
Mean length6.1923077
Min length5

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정사 20
76.9%
외국어번역행정사(중국어) 2
 
7.7%
해사행정사 2
 
7.7%
외국어번역행정사(영어) 1
 
3.8%
외국어번역행정사(독일어) 1
 
3.8%

Length

2023-12-11T01:37:03.969204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:37:04.141982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 20
76.9%
외국어번역행정사(중국어 2
 
7.7%
해사행정사 2
 
7.7%
외국어번역행정사(영어 1
 
3.8%
외국어번역행정사(독일어 1
 
3.8%

사무소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T01:37:04.380299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13.5
Mean length9.4615385
Min length5

Characters and Unicode

Total characters246
Distinct characters65
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowPYB행정사사무소
2nd row델타번역행정사사무소
3rd row부산해항회 행정사 사무소
4th row유림행정사
5th row라온행정사
ValueCountFrequency (%)
행정사 7
 
17.1%
사무소 3
 
7.3%
합동사무소 2
 
4.9%
부산해항회 2
 
4.9%
해인 2
 
4.9%
기술 2
 
4.9%
pyb행정사사무소 1
 
2.4%
일반 1
 
2.4%
일반행정서사강용대사무소 1
 
2.4%
아주번역사 1
 
2.4%
Other values (19) 19
46.3%
2023-12-11T01:37:04.837190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 42
17.1%
정 24
 
9.8%
행 23
 
9.3%
무 18
 
7.3%
소 17
 
6.9%
15
 
6.1%
부 7
 
2.8%
산 7
 
2.8%
해 4
 
1.6%
번 4
 
1.6%
Other values (55) 85
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
92.7%
Space Separator 15
 
6.1%
Uppercase Letter 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 42
18.4%
정 24
 
10.5%
행 23
 
10.1%
무 18
 
7.9%
소 17
 
7.5%
부 7
 
3.1%
산 7
 
3.1%
해 4
 
1.8%
번 4
 
1.8%
역 4
 
1.8%
Other values (51) 78
34.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
B 1
33.3%
Y 1
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
92.7%
Common 15
 
6.1%
Latin 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 42
18.4%
정 24
 
10.5%
행 23
 
10.1%
무 18
 
7.9%
소 17
 
7.5%
부 7
 
3.1%
산 7
 
3.1%
해 4
 
1.8%
번 4
 
1.8%
역 4
 
1.8%
Other values (51) 78
34.2%
Latin
ValueCountFrequency (%)
P 1
33.3%
B 1
33.3%
Y 1
33.3%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
92.7%
ASCII 18
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 42
18.4%
정 24
 
10.5%
행 23
 
10.1%
무 18
 
7.9%
소 17
 
7.5%
부 7
 
3.1%
산 7
 
3.1%
해 4
 
1.8%
번 4
 
1.8%
역 4
 
1.8%
Other values (51) 78
34.2%
ASCII
ValueCountFrequency (%)
15
83.3%
P 1
 
5.6%
B 1
 
5.6%
Y 1
 
5.6%

사무소 주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T01:37:05.212831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length30.230769
Min length23

Characters and Unicode

Total characters786
Distinct characters62
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 중앙대로 131， 센트럴오피스텔 705호(대창동1가)
2nd row부산광역시 중구 충장대로5번길 18， 풍원빌딩 201호 (중앙동4가)
3rd row부산광역시 중구 중앙대로 72， 유창빌딩 605호 (중앙동4가)
4th row부산광역시 중구 중앙대로 147 (대창동2가)
5th row부산광역시 중구 남포길 49， 5층 (남포동2가)
ValueCountFrequency (%)
부산광역시 26
16.9%
중구 26
16.9%
중앙동4가 14
 
9.1%
중앙대로 8
 
5.2%
충장대로5번길 5
 
3.2%
해관로 5
 
3.2%
부평동2가 3
 
1.9%
2층 3
 
1.9%
52， 2
 
1.3%
203호 2
 
1.3%
Other values (56) 60
39.0%
2023-12-11T01:37:05.749753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
16.3%
중 53
 
6.7%
부 30
 
3.8%
동 29
 
3.7%
4 28
 
3.6%
앙 27
 
3.4%
광 27
 
3.4%
산 27
 
3.4%
시 26
 
3.3%
2 26
 
3.3%
Other values (52) 385
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
57.0%
Decimal Number 137
 
17.4%
Space Separator 128
 
16.3%
Open Punctuation 26
 
3.3%
Close Punctuation 26
 
3.3%
Other Punctuation 16
 
2.0%
Dash Punctuation 4
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 53
 
11.8%
부 30
 
6.7%
동 29
 
6.5%
앙 27
 
6.0%
광 27
 
6.0%
산 27
 
6.0%
시 26
 
5.8%
가 26
 
5.8%
역 26
 
5.8%
구 26
 
5.8%
Other values (36) 151
33.7%
Decimal Number
ValueCountFrequency (%)
4 28
20.4%
2 26
19.0%
1 20
14.6%
5 17
12.4%
0 13
9.5%
8 10
 
7.3%
6 7
 
5.1%
3 6
 
4.4%
7 5
 
3.6%
9 5
 
3.6%
Space Separator
ValueCountFrequency (%)
128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
， 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
57.0%
Common 337
42.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 53
 
11.8%
부 30
 
6.7%
동 29
 
6.5%
앙 27
 
6.0%
광 27
 
6.0%
산 27
 
6.0%
시 26
 
5.8%
가 26
 
5.8%
역 26
 
5.8%
구 26
 
5.8%
Other values (36) 151
33.7%
Common
ValueCountFrequency (%)
128
38.0%
4 28
 
8.3%
2 26
 
7.7%
( 26
 
7.7%
) 26
 
7.7%
1 20
 
5.9%
5 17
 
5.0%
， 16
 
4.7%
0 13
 
3.9%
8 10
 
3.0%
Other values (5) 27
 
8.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
57.0%
ASCII 322
41.0%
None 16
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
39.8%
4 28
 
8.7%
2 26
 
8.1%
( 26
 
8.1%
) 26
 
8.1%
1 20
 
6.2%
5 17
 
5.3%
0 13
 
4.0%
8 10
 
3.1%
6 7
 
2.2%
Other values (5) 21
 
6.5%
Hangul
ValueCountFrequency (%)
중 53
 
11.8%
부 30
 
6.7%
동 29
 
6.5%
앙 27
 
6.0%
광 27
 
6.0%
산 27
 
6.0%
시 26
 
5.8%
가 26
 
5.8%
역 26
 
5.8%
구 26
 
5.8%
Other values (36) 151
33.7%
None
ValueCountFrequency (%)
， 16
100.0%

대표자명
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T01:37:05.994510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.5384615
Min length2

Characters and Unicode

Total characters92
Distinct characters58
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

Unique24 ?
Unique (%)92.3%

Sample

1st row박윤배
2nd rowLIU CHUNG KUO(유충국)
3rd row김형남
4th row최인성
5th row최승근
ValueCountFrequency (%)
김창권 2
 
7.1%
김익환 1
 
3.6%
김대우 1
 
3.6%
강효금 1
 
3.6%
김인태 1
 
3.6%
한태랑 1
 
3.6%
김시형 1
 
3.6%
최구환 1
 
3.6%
김정태 1
 
3.6%
강용대 1
 
3.6%
Other values (17) 17
60.7%
2023-12-11T01:37:06.415355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 12
 
13.0%
최 4
 
4.3%
U 3
 
3.3%
환 3
 
3.3%
태 3
 
3.3%
용 2
 
2.2%
박 2
 
2.2%
창 2
 
2.2%
2
 
2.2%
강 2
 
2.2%
Other values (48) 57
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
83.7%
Uppercase Letter 11
 
12.0%
Space Separator 2
 
2.2%
Close Punctuation 1
 
1.1%
Open Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
15.6%
최 4
 
5.2%
환 3
 
3.9%
태 3
 
3.9%
용 2
 
2.6%
박 2
 
2.6%
창 2
 
2.6%
강 2
 
2.6%
대 2
 
2.6%
중 2
 
2.6%
Other values (36) 43
55.8%
Uppercase Letter
ValueCountFrequency (%)
U 3
27.3%
N 1
 
9.1%
L 1
 
9.1%
I 1
 
9.1%
C 1
 
9.1%
H 1
 
9.1%
G 1
 
9.1%
K 1
 
9.1%
O 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
83.7%
Latin 11
 
12.0%
Common 4
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
15.6%
최 4
 
5.2%
환 3
 
3.9%
태 3
 
3.9%
용 2
 
2.6%
박 2
 
2.6%
창 2
 
2.6%
강 2
 
2.6%
대 2
 
2.6%
중 2
 
2.6%
Other values (36) 43
55.8%
Latin
ValueCountFrequency (%)
U 3
27.3%
N 1
 
9.1%
L 1
 
9.1%
I 1
 
9.1%
C 1
 
9.1%
H 1
 
9.1%
G 1
 
9.1%
K 1
 
9.1%
O 1
 
9.1%
Common
ValueCountFrequency (%)
2
50.0%
) 1
25.0%
( 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
83.7%
ASCII 15
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 12
 
15.6%
최 4
 
5.2%
환 3
 
3.9%
태 3
 
3.9%
용 2
 
2.6%
박 2
 
2.6%
창 2
 
2.6%
강 2
 
2.6%
대 2
 
2.6%
중 2
 
2.6%
Other values (36) 43
55.8%
ASCII
ValueCountFrequency (%)
U 3
20.0%
2
13.3%
) 1
 
6.7%
N 1
 
6.7%
L 1
 
6.7%
I 1
 
6.7%
C 1
 
6.7%
H 1
 
6.7%
G 1
 
6.7%
K 1
 
6.7%
Other values (2) 2
13.3%

대표전화
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing5
Missing (%)19.2%
Memory size340.0 B
2023-12-11T01:37:06.661626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique19 ?
Unique (%)90.5%

Sample

1st row051-892-9239
2nd row051-600-8283
3rd row051-464-1563
4th row051-232-8982
5th row051-256-0088
ValueCountFrequency (%)
051-912-0122 2
 
9.5%
051-442-5902 1
 
4.8%
051-892-9239 1
 
4.8%
051-416-2916 1
 
4.8%
051-462-6454 1
 
4.8%
051-469-3270 1
 
4.8%
051-466-7737 1
 
4.8%
051-469-1181 1
 
4.8%
051-245-1549 1
 
4.8%
051-469-8813 1
 
4.8%
Other values (10) 10
47.6%
2023-12-11T01:37:07.151707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
1 35
13.9%
0 33
13.1%
5 30
11.9%
4 25
9.9%
2 24
9.5%
6 19
7.5%
9 17
6.7%
8 13
 
5.2%
3 7
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
16.7%
0 33
15.7%
5 30
14.3%
4 25
11.9%
2 24
11.4%
6 19
9.0%
9 17
8.1%
8 13
 
6.2%
3 7
 
3.3%
7 7
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.7%
1 35
13.9%
0 33
13.1%
5 30
11.9%
4 25
9.9%
2 24
9.5%
6 19
7.5%
9 17
6.7%
8 13
 
5.2%
3 7
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
1 35
13.9%
0 33
13.1%
5 30
11.9%
4 25
9.9%
2 24
9.5%
6 19
7.5%
9 17
6.7%
8 13
 
5.2%
3 7
 
2.8%

개업신고일
Date

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1996-01-08 00:00:00
Maximum2022-04-11 00:00:00
2023-12-11T01:37:07.336464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:37:07.509575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

Correlations

2023-12-11T01:37:07.627286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정사 종류사무소명사무소 주소대표자명대표전화개업신고일
행정사 종류1.0001.0001.0000.6300.8250.000
사무소명1.0001.0001.0001.0001.0001.000
사무소 주소1.0001.0001.0001.0001.0001.000
대표자명0.6301.0001.0001.0001.0000.988
대표전화0.8251.0001.0001.0001.0000.982
개업신고일0.0001.0001.0000.9880.9821.000

Missing values

2023-12-11T01:37:03.624221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:37:03.784779image/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
0일반행정사PYB행정사사무소부산광역시 중구 중앙대로 131， 센트럴오피스텔 705호(대창동1가)박윤배051-892-92392022-04-11
1외국어번역행정사(중국어)델타번역행정사사무소부산광역시 중구 충장대로5번길 18， 풍원빌딩 201호 (중앙동4가)LIU CHUNG KUO(유충국)<NA>2020-07-02
2일반행정사부산해항회 행정사 사무소부산광역시 중구 중앙대로 72， 유창빌딩 605호 (중앙동4가)김형남051-600-82832019-05-16
3일반행정사유림행정사부산광역시 중구 중앙대로 147 (대창동2가)최인성051-464-15632018-05-02
4일반행정사라온행정사부산광역시 중구 남포길 49， 5층 (남포동2가)최승근051-232-89822017-04-26
5일반행정사부경행정사사무소부산광역시 중구 흑교로 18 (부평동2가)성경윤051-256-00882019-05-08
6일반행정사부산온누리행정사무소부산광역시 중구 충장대로5번길 56， 203호 (중앙동4가)김용혁051-442-00672021-07-20
7해사행정사해인 기술 행정사 합동사무소부산광역시 중구 충장대로5번길 52， 4층 405호 (중앙동4가)김창권051-912-01222015-03-30
8일반행정사열린행정사사무소부산광역시 중구 흑교로 28-2 (부평동2가)김동일051-441-50502016-08-09
9일반행정사중부산행정사사무소부산광역시 중구 부평2길 39 (부평동2가)이호중<NA>2016-08-10
행정사 종류사무소명사무소 주소대표자명대표전화개업신고일
16일반행정사센텀 행정사 사무소부산광역시 중구 중앙대로 141， 성림빌딩 202호 (대창동2가)조준호051-921-88522018-02-01
17일반행정사해인 일반 기술 행정사 합동사무소부산광역시 중구 충장대로5번길 52 (중앙동4가)김창권051-912-01222016-06-14
18일반행정사일반행정서사강용대사무소부산광역시 중구 해관로 88 (대창동1가)강용대051-469-88131996-01-08
19외국어번역행정사(영어)아주번역사부산광역시 중구 해관로 12-1 (동광동1가)김정태051-245-15491996-01-08
20외국어번역행정사(중국어)남경번역사부산광역시 중구 해관로 69-1 (중앙동4가)최구환051-469-11812000-06-20
21일반행정사김시형 행정사 사무소부산광역시 중구 40계단길 7， 상동빌딩 2층 (중앙동4가)김시형<NA>2007-10-12
22일반행정사일반행정서사한태랑사무소부산광역시 중구 해관로 81， 203호 (중앙동4가)한태랑051-466-77371999-10-18
23해사행정사부산항만산업행정기술사사무소부산광역시 중구 충장대로9번길 52， 1606호 (중앙동4가， 마린센터)김인태051-469-32702009-09-10
24외국어번역행정사(독일어)서정공인번역사부산광역시 중구 중앙대로 80 (중앙동4가)강효금051-462-64541999-10-19
25일반행정사합동행정사사무소부산광역시 중구 중앙대로81번길 4 (중앙동4가)박수원051-464-49822006-12-05