Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory36.0 B

Variable types

Text2
DateTime2

Dataset

Description경상남도 진주시 소재 행정기관 및 공공기관 정보(읍면동사무소명, 소재지, 건축년도, 규모(연면적(㎡)), 전화번호) 제공
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15013808

Alerts

데이터 기준일 has constant value ""Constant
업 체 명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:34:56.019932
Analysis finished2023-12-10 23:34:56.382622
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업 체 명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T08:34:56.543184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length9.6060606
Min length5

Characters and Unicode

Total characters317
Distinct characters76
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row서경행정사사무소
2nd row웰컴 행정사사무소
3rd row양권찬행정사사무소
4th row참조은행정사사무소
5th row경남행정사 합동사무소
ValueCountFrequency (%)
일반행정사 5
 
10.0%
행정사 5
 
10.0%
사무소 3
 
6.0%
행정사사무소 2
 
4.0%
권현호행정사사무소 1
 
2.0%
하형근행정사사무소 1
 
2.0%
하홍균사무소 1
 
2.0%
조필규사무소 1
 
2.0%
이숙란 1
 
2.0%
권철현사무소 1
 
2.0%
Other values (29) 29
58.0%
2023-12-11T08:34:56.919383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
20.5%
36
11.4%
33
 
10.4%
32
 
10.1%
32
 
10.1%
17
 
5.4%
5
 
1.6%
5
 
1.6%
5
 
1.6%
3
 
0.9%
Other values (66) 84
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
94.6%
Space Separator 17
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
21.7%
36
12.0%
33
11.0%
32
 
10.7%
32
 
10.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
3
 
1.0%
3
 
1.0%
Other values (65) 81
27.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
94.6%
Common 17
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
21.7%
36
12.0%
33
11.0%
32
 
10.7%
32
 
10.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
3
 
1.0%
3
 
1.0%
Other values (65) 81
27.0%
Common
ValueCountFrequency (%)
17
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
94.6%
ASCII 17
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
65
21.7%
36
12.0%
33
11.0%
32
 
10.7%
32
 
10.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
3
 
1.0%
3
 
1.0%
Other values (65) 81
27.0%
ASCII
ValueCountFrequency (%)
17
100.0%
Distinct18
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T08:34:57.158692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0606061
Min length3

Characters and Unicode

Total characters101
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)27.3%

Sample

1st row평거동
2nd row상대동
3rd row평거동
4th row충무공동
5th row초전동
ValueCountFrequency (%)
신안동 4
12.1%
상대동 4
12.1%
중안동 3
 
9.1%
칠암동 3
 
9.1%
평거동 2
 
6.1%
문산읍 2
 
6.1%
금산면 2
 
6.1%
이현동 2
 
6.1%
충무공동 2
 
6.1%
가좌동 1
 
3.0%
Other values (8) 8
24.2%
2023-12-11T08:34:57.502010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
25.7%
7
 
6.9%
5
 
5.0%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
Other values (25) 37
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
25.7%
7
 
6.9%
5
 
5.0%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
Other values (25) 37
36.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
25.7%
7
 
6.9%
5
 
5.0%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
Other values (25) 37
36.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
25.7%
7
 
6.9%
5
 
5.0%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
Other values (25) 37
36.6%
Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1985-05-15 00:00:00
Maximum2019-02-14 00:00:00
2023-12-11T08:34:57.667143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:57.818529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2019-04-01 00:00:00
Maximum2019-04-01 00:00:00
2023-12-11T08:34:57.926105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:58.031976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T08:34:58.106644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업 체 명소 재 지신고일
업 체 명1.0001.0001.000
소 재 지1.0001.0000.989
신고일1.0000.9891.000

Missing values

2023-12-11T08:34:56.236156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:34:56.348408image/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

업 체 명소 재 지신고일데이터 기준일
0서경행정사사무소평거동2015-06-082019-04-01
1웰컴 행정사사무소상대동2019-02-142019-04-01
2양권찬행정사사무소평거동2018-12-172019-04-01
3참조은행정사사무소충무공동2017-11-102019-04-01
4경남행정사 합동사무소초전동2018-08-312019-04-01
5하정민 외국어번역 행정사사무소신안동2018-08-232019-04-01
6마을행정사사무소망경동2018-08-032019-04-01
7임승진행정사사무소신안동2018-07-102019-04-01
8백상운행정사사무소집현면2018-05-182019-04-01
9희망행정사사무소문산읍2018-04-252019-04-01
업 체 명소 재 지신고일데이터 기준일
23행정사 최경수 사무소중안동2015-06-082019-04-01
24비봉행정사사무소중안동2015-06-082019-04-01
25진주행정사사무소금산면2014-03-252019-04-01
26일반행정사 이기만사무소칠암동1986-04-242019-04-01
27박우수행정사사무소이현동2006-04-102019-04-01
28정봉갑행정사사무소금산면2005-08-292019-04-01
29행정사고연관사무소문산읍1998-09-072019-04-01
30일반행정사 이기동사무소중안동1986-04-162019-04-01
31권현호행정사사무소수곡면1995-08-102019-04-01
32일반행정사 김영택사무소진성면1990-12-282019-04-01