Overview

Dataset statistics

Number of variables6
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory54.3 B

Variable types

Numeric1
DateTime1
Text2
Categorical2

Dataset

Description경상남도 거제시 행정업무를 위한 행정사사무소 현황자료로써 신고일, 명칭, 운영상태, 주소, 기준일자에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15029822

Alerts

기준일자 has constant value ""Constant
운영상태 is highly imbalanced (75.8%)Imbalance
일련번호 has unique valuesUnique
신고일 has unique valuesUnique
사무소명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:33:54.935593
Analysis finished2023-12-11 00:33:55.394806
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T09:33:55.460717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-11T09:33:55.577113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

신고일
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1997-01-13 00:00:00
Maximum2022-06-22 00:00:00
2023-12-11T09:33:55.678129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:33:55.784045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

사무소명칭
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:33:55.957080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.04
Min length5

Characters and Unicode

Total characters226
Distinct characters57
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row제일행정사사무소
2nd row청산 행정사사무소
3rd row희망 행정사사무소
4th row늘봄공인행정사사무소
5th row장고행정사
ValueCountFrequency (%)
행정사 10
21.7%
사무소 9
19.6%
행정사사무소 2
 
4.3%
제일행정사사무소 1
 
2.2%
박행정사 1
 
2.2%
이성회 1
 
2.2%
이상민 1
 
2.2%
거제이민행정사 1
 
2.2%
아주행정사사무소 1
 
2.2%
중앙 1
 
2.2%
Other values (18) 18
39.1%
2023-12-11T09:33:56.241665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 46
20.4%
정 26
11.5%
행 25
11.1%
무 21
 
9.3%
소 21
 
9.3%
21
 
9.3%
민 4
 
1.8%
이 4
 
1.8%
제 3
 
1.3%
장 2
 
0.9%
Other values (47) 53
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
89.4%
Space Separator 21
 
9.3%
Uppercase Letter 2
 
0.9%
Lowercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 46
22.8%
정 26
12.9%
행 25
12.4%
무 21
10.4%
소 21
10.4%
민 4
 
2.0%
이 4
 
2.0%
제 3
 
1.5%
장 2
 
1.0%
거 2
 
1.0%
Other values (43) 48
23.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
89.4%
Common 21
 
9.3%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 46
22.8%
정 26
12.9%
행 25
12.4%
무 21
10.4%
소 21
10.4%
민 4
 
2.0%
이 4
 
2.0%
제 3
 
1.5%
장 2
 
1.0%
거 2
 
1.0%
Other values (43) 48
23.8%
Latin
ValueCountFrequency (%)
E 1
33.3%
n 1
33.3%
S 1
33.3%
Common
ValueCountFrequency (%)
21
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
89.4%
ASCII 24
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 46
22.8%
정 26
12.9%
행 25
12.4%
무 21
10.4%
소 21
10.4%
민 4
 
2.0%
이 4
 
2.0%
제 3
 
1.5%
장 2
 
1.0%
거 2
 
1.0%
Other values (43) 48
23.8%
ASCII
ValueCountFrequency (%)
21
87.5%
E 1
 
4.2%
n 1
 
4.2%
S 1
 
4.2%

운영상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
24 
휴업
 
1

Length

Max length3
Median length3
Mean length2.96
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row영업중

Common Values

ValueCountFrequency (%)
영업중 24
96.0%
휴업 1
 
4.0%

Length

2023-12-11T09:33:56.369345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:33:56.457049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 24
96.0%
휴업 1
 
4.0%

소재지
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:33:56.701724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length30.32
Min length22

Characters and Unicode

Total characters758
Distinct characters73
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

Unique25 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 거제대로 3541， 4층(아주동)
2nd row경상남도 거제시 장평로 37， 273호(장평동)
3rd row경상남도 거제시 거제중앙로16길 17， 301호(고현동)
4th row경상남도 거제시 진목1길 73， 101호(옥포동)
5th row경상남도 거제시 장승포해안로 12-11(장승포동)
ValueCountFrequency (%)
경상남도 25
 
16.9%
거제시 25
 
16.9%
고현동 9
 
6.1%
계룡로 4
 
2.7%
옥포동 4
 
2.7%
3층 3
 
2.0%
거제중앙로 3
 
2.0%
201호 3
 
2.0%
거제중앙로13길 2
 
1.4%
옥포대첩로 2
 
1.4%
Other values (63) 68
45.9%
2023-12-11T09:33:57.242541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
16.2%
1 38
 
5.0%
거 34
 
4.5%
제 34
 
4.5%
동 26
 
3.4%
시 26
 
3.4%
상 26
 
3.4%
) 25
 
3.3%
( 25
 
3.3%
경 25
 
3.3%
Other values (63) 376
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 429
56.6%
Decimal Number 129
 
17.0%
Space Separator 123
 
16.2%
Close Punctuation 25
 
3.3%
Open Punctuation 25
 
3.3%
Other Punctuation 22
 
2.9%
Dash Punctuation 4
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 34
 
7.9%
제 34
 
7.9%
동 26
 
6.1%
시 26
 
6.1%
상 26
 
6.1%
경 25
 
5.8%
도 25
 
5.8%
남 25
 
5.8%
로 24
 
5.6%
현 15
 
3.5%
Other values (47) 169
39.4%
Decimal Number
ValueCountFrequency (%)
1 38
29.5%
3 23
17.8%
0 17
13.2%
2 16
12.4%
4 10
 
7.8%
7 7
 
5.4%
8 6
 
4.7%
5 5
 
3.9%
9 4
 
3.1%
6 3
 
2.3%
Space Separator
ValueCountFrequency (%)
123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
， 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 429
56.6%
Common 328
43.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 34
 
7.9%
제 34
 
7.9%
동 26
 
6.1%
시 26
 
6.1%
상 26
 
6.1%
경 25
 
5.8%
도 25
 
5.8%
남 25
 
5.8%
로 24
 
5.6%
현 15
 
3.5%
Other values (47) 169
39.4%
Common
ValueCountFrequency (%)
123
37.5%
1 38
 
11.6%
) 25
 
7.6%
( 25
 
7.6%
3 23
 
7.0%
， 22
 
6.7%
0 17
 
5.2%
2 16
 
4.9%
4 10
 
3.0%
7 7
 
2.1%
Other values (5) 22
 
6.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 429
56.6%
ASCII 307
40.5%
None 22
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
40.1%
1 38
 
12.4%
) 25
 
8.1%
( 25
 
8.1%
3 23
 
7.5%
0 17
 
5.5%
2 16
 
5.2%
4 10
 
3.3%
7 7
 
2.3%
8 6
 
2.0%
Other values (5) 17
 
5.5%
Hangul
ValueCountFrequency (%)
거 34
 
7.9%
제 34
 
7.9%
동 26
 
6.1%
시 26
 
6.1%
상 26
 
6.1%
경 25
 
5.8%
도 25
 
5.8%
남 25
 
5.8%
로 24
 
5.6%
현 15
 
3.5%
Other values (47) 169
39.4%
None
ValueCountFrequency (%)
， 22
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2022-06-23
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-23
2nd row2022-06-23
3rd row2022-06-23
4th row2022-06-23
5th row2022-06-23

Common Values

ValueCountFrequency (%)
2022-06-23 25
100.0%

Length

2023-12-11T09:33:57.427416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:33:57.548160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-23 25
100.0%

Interactions

2023-12-11T09:33:55.140523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:33:57.625338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호신고일사무소명칭운영상태소재지
일련번호1.0001.0001.0000.0001.000
신고일1.0001.0001.0001.0001.000
사무소명칭1.0001.0001.0001.0001.000
운영상태0.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
2023-12-11T09:33:57.756970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호운영상태
일련번호1.0000.000
운영상태0.0001.000

Missing values

2023-12-11T09:33:55.235118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:33:55.349998image/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

일련번호신고일사무소명칭운영상태소재지기준일자
012022-04-19제일행정사사무소영업중경상남도 거제시 거제대로 3541， 4층(아주동)2022-06-23
122022-03-31청산 행정사사무소영업중경상남도 거제시 장평로 37， 273호(장평동)2022-06-23
232022-01-13희망 행정사사무소영업중경상남도 거제시 거제중앙로16길 17， 301호(고현동)2022-06-23
342022-06-22늘봄공인행정사사무소영업중경상남도 거제시 진목1길 73， 101호(옥포동)2022-06-23
452021-09-06장고행정사영업중경상남도 거제시 장승포해안로 12-11(장승포동)2022-06-23
562021-07-09정창엽행정사사무소영업중경상남도 거제시 거제대로 3541， 아주빌딩 3층 (아주동)2022-06-23
672022-03-07장고행정사사무소영업중경상남도 거제시 장승로 103， 2층(장승포동)2022-06-23
782021-04-08행정사 강성준 사무소영업중경상남도 거제시 거제중앙로31길 31， 102호 (고현동)2022-06-23
892014-04-08콜롬보행정사민원사무소영업중경상남도 거제시 거제중앙로13길 7-0 (고현동)2022-06-23
9102019-05-23한마음 행정사 사무소영업중경상남도 거제시 옥포대첩로 39， 에버그린모텔 9층 (옥포동)2022-06-23
일련번호신고일사무소명칭운영상태소재지기준일자
15162022-05-24EnS 행정사 사무소영업중경상남도 거제시 계룡로 146， 인성빌딩 202호(고현동)2022-06-23
16172015-03-30행정사 반민규 사무소영업중경상남도 거제시 계룡로 88， 성림빌딩 3층 (고현동)2022-06-23
17182015-06-04행정사 서용태 사무소영업중경상남도 거제시 계룡로 134， 대호상가 303호 (고현동)2022-06-23
18192020-07-02행정사이해준사무소영업중경상남도 거제시 서문로3길 14 (고현동)2022-06-23
19202022-03-03중앙 행정사 사무소휴업경상남도 거제시 거제중앙로 1883-2， 206호 (고현동， 고현종합시장)2022-06-23
20212022-05-06아주행정사사무소영업중경상남도 거제시 아주1로3길 52， 204호(아주동)2022-06-23
21222018-07-31거제이민행정사영업중경상남도 거제시 옥포대첩로 25， 에이원오피스텔 10층 1001호 (옥포동)2022-06-23
22232022-03-22행정사 이상민 사무소영업중경상남도 거제시 거제중앙로13길 30， 2층 3호(고현동)2022-06-23
23241997-01-13이성회 행정사영업중경상남도 거제시 고현로4길 47 (고현동)2022-06-23
24252001-02-16강승남 행정사영업중경상남도 거제시 진목로 19， 201호 (옥포동)2022-06-23