Overview

Dataset statistics

Number of variables13
Number of observations32
Missing cells64
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory110.1 B

Variable types

Text6
Categorical3
Boolean1
DateTime1
Unsupported2

Dataset

Description통합 창원시 관내 사회적기업현황(기관명, 사회서비스분야, 사업내용, 소재지주소 등)에 관한 자료이오니, 참고하시기 바랍니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15008481

Alerts

인증여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주된목적 is highly imbalanced (51.7%)Imbalance
소재지지번주소 has 32 (100.0%) missing valuesMissing
홈페이지주소 has 32 (100.0%) missing valuesMissing
기관명 has unique valuesUnique
인증번호 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 00:04:38.671105
Analysis finished2023-12-11 00:04:39.547990
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T09:04:39.738622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14.5
Mean length9.40625
Min length4

Characters and Unicode

Total characters301
Distinct characters120
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row(사)경상남도장애청소년문화교육진흥센터
2nd row(사)희망이룸
3rd row(유)마루
4th row(유)우렁각시
5th row(유)창원늘푸른사람들
ValueCountFrequency (%)
유한회사 4
 
8.7%
주식회사 2
 
4.3%
사)경상남도장애청소년문화교육진흥센터 1
 
2.2%
한울타리사람들 1
 
2.2%
㈜굿윌경남 1
 
2.2%
㈜나누리 1
 
2.2%
㈜늘푸른자원 1
 
2.2%
㈜참다올푸드 1
 
2.2%
㈜파이디아 1
 
2.2%
㈜한찬코리아 1
 
2.2%
Other values (32) 32
69.6%
2023-12-11T09:04:40.127490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 14
 
4.7%
14
 
4.7%
( 11
 
3.7%
㈜ 11
 
3.7%
유 11
 
3.7%
) 11
 
3.7%
회 9
 
3.0%
한 8
 
2.7%
복 7
 
2.3%
지 6
 
2.0%
Other values (110) 199
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
84.4%
Space Separator 14
 
4.7%
Open Punctuation 11
 
3.7%
Other Symbol 11
 
3.7%
Close Punctuation 11
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
5.5%
유 11
 
4.3%
회 9
 
3.5%
한 8
 
3.1%
복 7
 
2.8%
지 6
 
2.4%
남 5
 
2.0%
터 5
 
2.0%
푸 5
 
2.0%
경 5
 
2.0%
Other values (106) 179
70.5%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 265
88.0%
Common 36
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
5.3%
㈜ 11
 
4.2%
유 11
 
4.2%
회 9
 
3.4%
한 8
 
3.0%
복 7
 
2.6%
지 6
 
2.3%
남 5
 
1.9%
터 5
 
1.9%
푸 5
 
1.9%
Other values (107) 184
69.4%
Common
ValueCountFrequency (%)
14
38.9%
( 11
30.6%
) 11
30.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
84.4%
ASCII 36
 
12.0%
None 11
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 14
 
5.5%
유 11
 
4.3%
회 9
 
3.5%
한 8
 
3.1%
복 7
 
2.8%
지 6
 
2.4%
남 5
 
2.0%
터 5
 
2.0%
푸 5
 
2.0%
경 5
 
2.0%
Other values (106) 179
70.5%
ASCII
ValueCountFrequency (%)
14
38.9%
( 11
30.6%
) 11
30.6%
None
ValueCountFrequency (%)
㈜ 11
100.0%

사회서비스분야
Categorical

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
기타
18 
간병및가사지원
4 
환경
3 
청소
3 
예술·관광
3 

Length

Max length7
Median length2
Mean length2.90625
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row기타
2nd row기타
3rd row환경
4th row간병및가사지원
5th row청소

Common Values

ValueCountFrequency (%)
기타 18
56.2%
간병및가사지원 4
 
12.5%
환경 3
 
9.4%
청소 3
 
9.4%
예술·관광 3
 
9.4%
보육 1
 
3.1%

Length

2023-12-11T09:04:40.261902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:40.369784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 18
56.2%
간병및가사지원 4
 
12.5%
환경 3
 
9.4%
청소 3
 
9.4%
예술·관광 3
 
9.4%
보육 1
 
3.1%

주된목적
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
일자리제공형
25 
기타형
4 
혼합형
 
1
지역사회공헌형
 
1
사회서비스제공형
 
1

Length

Max length8
Median length6
Mean length5.625
Min length3

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row일자리제공형
2nd row기타형
3rd row일자리제공형
4th row일자리제공형
5th row일자리제공형

Common Values

ValueCountFrequency (%)
일자리제공형 25
78.1%
기타형 4
 
12.5%
혼합형 1
 
3.1%
지역사회공헌형 1
 
3.1%
사회서비스제공형 1
 
3.1%

Length

2023-12-11T09:04:40.510497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:40.626153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 25
78.1%
기타형 4
 
12.5%
혼합형 1
 
3.1%
지역사회공헌형 1
 
3.1%
사회서비스제공형 1
 
3.1%

사업내용
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T09:04:40.914132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length16.59375
Min length4

Characters and Unicode

Total characters531
Distinct characters153
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row발달장애인 직업교육 서비스
2nd row지적장애아동 오케스트라 및 교구교재 개발사업
3rd row재활용품수집 및 운반, 환경정비, 조경
4th row가사관리사 파견 및 식당 운영
5th row학교·건물 등 청소 및 소독, 청소용품 판매
ValueCountFrequency (%)
및 14
 
10.6%
판매 5
 
3.8%
서비스 3
 
2.3%
사업 3
 
2.3%
교육 3
 
2.3%
운영 3
 
2.3%
간병사업 2
 
1.5%
등 2
 
1.5%
보호자없는 2
 
1.5%
제조 2
 
1.5%
Other values (85) 93
70.5%
2023-12-11T09:04:41.322632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
18.8%
, 24
 
4.5%
업 20
 
3.8%
사 19
 
3.6%
및 14
 
2.6%
소 10
 
1.9%
제 9
 
1.7%
교 8
 
1.5%
판 8
 
1.5%
비 8
 
1.5%
Other values (143) 311
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
75.9%
Space Separator 100
 
18.8%
Other Punctuation 25
 
4.7%
Uppercase Letter 2
 
0.4%
Final Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 20
 
5.0%
사 19
 
4.7%
및 14
 
3.5%
소 10
 
2.5%
제 9
 
2.2%
교 8
 
2.0%
판 8
 
2.0%
비 8
 
2.0%
장 7
 
1.7%
공 7
 
1.7%
Other values (137) 293
72.7%
Other Punctuation
ValueCountFrequency (%)
, 24
96.0%
· 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
75.9%
Common 126
 
23.7%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 20
 
5.0%
사 19
 
4.7%
및 14
 
3.5%
소 10
 
2.5%
제 9
 
2.2%
교 8
 
2.0%
판 8
 
2.0%
비 8
 
2.0%
장 7
 
1.7%
공 7
 
1.7%
Other values (137) 293
72.7%
Common
ValueCountFrequency (%)
100
79.4%
, 24
 
19.0%
· 1
 
0.8%
’ 1
 
0.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
75.9%
ASCII 126
 
23.7%
None 1
 
0.2%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
79.4%
, 24
 
19.0%
A 1
 
0.8%
O 1
 
0.8%
Hangul
ValueCountFrequency (%)
업 20
 
5.0%
사 19
 
4.7%
및 14
 
3.5%
소 10
 
2.5%
제 9
 
2.2%
교 8
 
2.0%
판 8
 
2.0%
비 8
 
2.0%
장 7
 
1.7%
공 7
 
1.7%
Other values (137) 293
72.7%
None
ValueCountFrequency (%)
· 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

인증여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size164.0 B
True
32 
ValueCountFrequency (%)
True 32
100.0%
2023-12-11T09:04:41.447896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증일자
Date

Distinct25
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2007-10-29 00:00:00
Maximum2017-09-12 00:00:00
2023-12-11T09:04:41.528405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:41.659894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인증번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T09:04:41.916689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9375
Min length9

Characters and Unicode

Total characters318
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row제2014-133호
2nd row제2015-077호
3rd row제2014-087호
4th row제2013-111호
5th row제2009-041호
ValueCountFrequency (%)
제2014-133호 1
 
3.1%
제2015-077호 1
 
3.1%
제2017-082호 1
 
3.1%
제2016-083호 1
 
3.1%
제2016-011호 1
 
3.1%
제2015-264호 1
 
3.1%
제2015-203호 1
 
3.1%
제2010-090호 1
 
3.1%
제2011-065호 1
 
3.1%
제2015-157호 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T09:04:42.335356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
18.6%
1 48
15.1%
2 42
13.2%
제 32
10.1%
- 32
10.1%
호 32
10.1%
5 14
 
4.4%
8 13
 
4.1%
3 12
 
3.8%
4 10
 
3.1%
Other values (3) 24
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
69.8%
Other Letter 64
 
20.1%
Dash Punctuation 32
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
26.6%
1 48
21.6%
2 42
18.9%
5 14
 
6.3%
8 13
 
5.9%
3 12
 
5.4%
4 10
 
4.5%
7 10
 
4.5%
6 9
 
4.1%
9 5
 
2.3%
Other Letter
ValueCountFrequency (%)
제 32
50.0%
호 32
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 254
79.9%
Hangul 64
 
20.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
23.2%
1 48
18.9%
2 42
16.5%
- 32
12.6%
5 14
 
5.5%
8 13
 
5.1%
3 12
 
4.7%
4 10
 
3.9%
7 10
 
3.9%
6 9
 
3.5%
Hangul
ValueCountFrequency (%)
제 32
50.0%
호 32
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 254
79.9%
Hangul 64
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
23.2%
1 48
18.9%
2 42
16.5%
- 32
12.6%
5 14
 
5.5%
8 13
 
5.1%
3 12
 
4.7%
4 10
 
3.9%
7 10
 
3.9%
6 9
 
3.5%
Hangul
ValueCountFrequency (%)
제 32
50.0%
호 32
50.0%

대표자명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T09:04:42.574119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.125
Min length2

Characters and Unicode

Total characters100
Distinct characters53
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row손명숙
2nd row정수철
3rd row김여용
4th row김정호
5th row전창현
ValueCountFrequency (%)
손명숙 1
 
3.0%
강승구 1
 
3.0%
조임경 1
 
3.0%
김소형 1
 
3.0%
김경희 1
 
3.0%
이옥선 1
 
3.0%
안명선 1
 
3.0%
김옥희 1
 
3.0%
윤선순 1
 
3.0%
정영선 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T09:04:42.973916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
9.0%
정 6
 
6.0%
선 4
 
4.0%
이 4
 
4.0%
진 3
 
3.0%
희 3
 
3.0%
민 3
 
3.0%
성 3
 
3.0%
숙 3
 
3.0%
안 2
 
2.0%
Other values (43) 60
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
98.0%
Other Punctuation 1
 
1.0%
Space Separator 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
9.2%
정 6
 
6.1%
선 4
 
4.1%
이 4
 
4.1%
진 3
 
3.1%
희 3
 
3.1%
민 3
 
3.1%
성 3
 
3.1%
숙 3
 
3.1%
안 2
 
2.0%
Other values (41) 58
59.2%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
98.0%
Common 2
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
9.2%
정 6
 
6.1%
선 4
 
4.1%
이 4
 
4.1%
진 3
 
3.1%
희 3
 
3.1%
민 3
 
3.1%
성 3
 
3.1%
숙 3
 
3.1%
안 2
 
2.0%
Other values (41) 58
59.2%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
98.0%
ASCII 2
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
9.2%
정 6
 
6.1%
선 4
 
4.1%
이 4
 
4.1%
진 3
 
3.1%
희 3
 
3.1%
민 3
 
3.1%
성 3
 
3.1%
숙 3
 
3.1%
안 2
 
2.0%
Other values (41) 58
59.2%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T09:04:43.185184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0625
Min length12

Characters and Unicode

Total characters386
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

Unique32 ?
Unique (%)100.0%

Sample

1st row055-287-2010
2nd row055-263-5647
3rd row055-266-1945
4th row055-266-8219
5th row055-265-1945
ValueCountFrequency (%)
055-287-2010 1
 
3.1%
055-263-5647 1
 
3.1%
055-261-9605 1
 
3.1%
055-289-6694 1
 
3.1%
055-222-2314 1
 
3.1%
055-263-4678 1
 
3.1%
055-264-9394 1
 
3.1%
055-540-0232 1
 
3.1%
055-263-6543 1
 
3.1%
055-264-2985 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T09:04:43.535057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 76
19.7%
- 64
16.6%
0 48
12.4%
2 45
11.7%
3 28
 
7.3%
6 26
 
6.7%
8 25
 
6.5%
1 22
 
5.7%
4 21
 
5.4%
9 19
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 322
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 76
23.6%
0 48
14.9%
2 45
14.0%
3 28
 
8.7%
6 26
 
8.1%
8 25
 
7.8%
1 22
 
6.8%
4 21
 
6.5%
9 19
 
5.9%
7 12
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 76
19.7%
- 64
16.6%
0 48
12.4%
2 45
11.7%
3 28
 
7.3%
6 26
 
6.7%
8 25
 
6.5%
1 22
 
5.7%
4 21
 
5.4%
9 19
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 76
19.7%
- 64
16.6%
0 48
12.4%
2 45
11.7%
3 28
 
7.3%
6 26
 
6.7%
8 25
 
6.5%
1 22
 
5.7%
4 21
 
5.4%
9 19
 
4.9%

소재지도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T09:04:43.816396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length27.96875
Min length19

Characters and Unicode

Total characters895
Distinct characters100
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

Unique32 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 성산구 대암로 110, 302호(대방동, 성원남산3차아파트상가)
2nd row경상남도 창원시 의창구 사림로53 지하1층(한우프라자)
3rd row경상남도 창원시 의창구 북면 운문로 853
4th row경상남도 창원시 의창구 상남로 258(신월동)
5th row경상남도 창원시 의창구 용지로 161
ValueCountFrequency (%)
경상남도 32
 
17.1%
창원시 32
 
17.1%
의창구 18
 
9.6%
성산구 6
 
3.2%
대산면 3
 
1.6%
마산합포구 3
 
1.6%
마산회원구 3
 
1.6%
용지로 2
 
1.1%
28 2
 
1.1%
5층 2
 
1.1%
Other values (81) 84
44.9%
2023-12-11T09:04:44.242854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
17.3%
창 51
 
5.7%
남 38
 
4.2%
원 36
 
4.0%
상 35
 
3.9%
경 34
 
3.8%
도 33
 
3.7%
시 33
 
3.7%
구 33
 
3.7%
로 29
 
3.2%
Other values (90) 418
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 575
64.2%
Space Separator 155
 
17.3%
Decimal Number 126
 
14.1%
Open Punctuation 15
 
1.7%
Close Punctuation 15
 
1.7%
Other Punctuation 5
 
0.6%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 51
 
8.9%
남 38
 
6.6%
원 36
 
6.3%
상 35
 
6.1%
경 34
 
5.9%
도 33
 
5.7%
시 33
 
5.7%
구 33
 
5.7%
로 29
 
5.0%
산 21
 
3.7%
Other values (75) 232
40.3%
Decimal Number
ValueCountFrequency (%)
1 27
21.4%
5 19
15.1%
2 18
14.3%
3 12
9.5%
0 11
8.7%
4 10
 
7.9%
6 9
 
7.1%
8 8
 
6.3%
7 6
 
4.8%
9 6
 
4.8%
Space Separator
ValueCountFrequency (%)
155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 575
64.2%
Common 320
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 51
 
8.9%
남 38
 
6.6%
원 36
 
6.3%
상 35
 
6.1%
경 34
 
5.9%
도 33
 
5.7%
시 33
 
5.7%
구 33
 
5.7%
로 29
 
5.0%
산 21
 
3.7%
Other values (75) 232
40.3%
Common
ValueCountFrequency (%)
155
48.4%
1 27
 
8.4%
5 19
 
5.9%
2 18
 
5.6%
( 15
 
4.7%
) 15
 
4.7%
3 12
 
3.8%
0 11
 
3.4%
4 10
 
3.1%
6 9
 
2.8%
Other values (5) 29
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 575
64.2%
ASCII 320
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
48.4%
1 27
 
8.4%
5 19
 
5.9%
2 18
 
5.6%
( 15
 
4.7%
) 15
 
4.7%
3 12
 
3.8%
0 11
 
3.4%
4 10
 
3.1%
6 9
 
2.8%
Other values (5) 29
 
9.1%
Hangul
ValueCountFrequency (%)
창 51
 
8.9%
남 38
 
6.6%
원 36
 
6.3%
상 35
 
6.1%
경 34
 
5.9%
도 33
 
5.7%
시 33
 
5.7%
구 33
 
5.7%
로 29
 
5.0%
산 21
 
3.7%
Other values (75) 232
40.3%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2017-12-11
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-12-11
2nd row2017-12-11
3rd row2017-12-11
4th row2017-12-11
5th row2017-12-11

Common Values

ValueCountFrequency (%)
2017-12-11 32
100.0%

Length

2023-12-11T09:04:44.409934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:44.520481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-12-11 32
100.0%

Correlations

2023-12-11T09:04:44.589226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명전화번호소재지도로명주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.0000.9210.9771.0001.0001.0001.000
주된목적1.0000.0001.0001.0000.9941.0001.0001.0001.000
사업내용1.0000.9211.0001.0000.9751.0001.0001.0001.000
인증일자1.0000.9770.9940.9751.0001.0001.0001.0001.000
인증번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T09:04:44.724467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된목적사회서비스분야
주된목적1.0000.000
사회서비스분야0.0001.000
2023-12-11T09:04:44.857411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적
사회서비스분야1.0000.000
주된목적0.0001.000

Missing values

2023-12-11T09:04:39.283417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:04:39.476052image/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

기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0(사)경상남도장애청소년문화교육진흥센터기타일자리제공형발달장애인 직업교육 서비스Y2014-09-19제2014-133호손명숙055-287-2010경상남도 창원시 성산구 대암로 110, 302호(대방동, 성원남산3차아파트상가)<NA><NA>2017-12-11
1(사)희망이룸기타기타형지적장애아동 오케스트라 및 교구교재 개발사업Y2015-06-01제2015-077호정수철055-263-5647경상남도 창원시 의창구 사림로53 지하1층(한우프라자)<NA><NA>2017-12-11
2(유)마루환경일자리제공형재활용품수집 및 운반, 환경정비, 조경Y2014-06-30제2014-087호김여용055-266-1945경상남도 창원시 의창구 북면 운문로 853<NA><NA>2017-12-11
3(유)우렁각시간병및가사지원일자리제공형가사관리사 파견 및 식당 운영Y2012-09-03제2013-111호김정호055-266-8219경상남도 창원시 의창구 상남로 258(신월동)<NA><NA>2017-12-11
4(유)창원늘푸른사람들청소일자리제공형학교·건물 등 청소 및 소독, 청소용품 판매Y2009-11-11제2009-041호전창현055-265-1945경상남도 창원시 의창구 용지로 161<NA><NA>2017-12-11
5(유)창원주거에너지복지센터기타일자리제공형저소득층 주거환경개선사업Y2014-12-16제2014-209호최영준055-273-2983경상남도 창원시 의창구 지귀로 116(봉곡동)<NA><NA>2017-12-11
6(유)풀뿌리문화공동체예종예술·관광일자리제공형공연서비스업, 공연기획, 문화예술관련 교육, 기업연수 서비스업Y2015-03-31제2015-008호배민055-266-0387경상남도 창원시 성산구 창이대로663번길 5(사파동, 미남빌딩 지하)<NA><NA>2017-12-11
7(유)희망하우징기타일자리제공형지역 저소득 주거환경개선사업Y2014-12-16제2014-212호김정희055-601-2233경상남도 창원시 마산회원구 북성로 256(석전동)<NA><NA>2017-12-11
8나눔터(사회복지법인 나눔복지재단)기타일자리제공형봉제사업, 인쇄사업Y2008-04-17제2008-016호김상규055-286-3233경상남도 창원시 성산구 월림로 39번길 8-10<NA><NA>2017-12-11
9사단법인 함께하는 여성보육일자리제공형맞벌이 가정 영,유아 보육 및 장난감 대여 서비스 사업Y2010-12-22제2010-176호이애라055-231-5432경상남도 창원시 마산합포구 중앙북5길 20<NA><NA>2017-12-11
기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
22㈜한찬코리아기타일자리제공형인쇄출판 및 제조업Y2008-04-17제2008-018호박상구055-601-1000경상남도 창원시 의창구 천주로1번길 14<NA><NA>2017-12-11
23창원돌봄센터협동조합간병및가사지원일자리제공형보호자없는 병실 공동간병서비스 제공Y2015-09-22제2015-157호정영선055-264-2985경상남도 창원시 마산회원구 315대로 940, 2층 케이티마산빌딩(구암동)<NA><NA>2017-12-11
24한울타리사람들청소일자리제공형청소,용역사업, 조사통계업Y2011-09-30제2011-065호윤선순055-263-6543경상남도 창원시 의창구 남산로9번길 54-6<NA><NA>2017-12-11
25해피푸드 주식회사기타일자리제공형도시락 판매, 독거어르신 및 저소득청소년 급식 제공Y2010-10-20제2010-090호김옥희055-540-0232경상남도 창원시 진해구 진해대로 1101<NA><NA>2017-12-11
26㈜해맑음기타혼합형창의적 체험 프로그램 활동 및 체험 카페 운영Y2015-11-20제2015-203호안명선055-264-9394경상남도 창원시 의창구 신월로 5번길 28<NA><NA>2017-12-11
27(유)바람골그가게기타지역사회공헌형친환경제품 제작 판매Y2015-12-28제2015-264호이옥선055-263-4678경상남도 창원시 성산구 안민로 159번길 13<NA><NA>2017-12-11
28경남대학교 조이스쿨㈜기타기타형방과후 학교 운영Y2016-02-29제2016-011호김경희055-222-2314경상남도 창원시 마산합포구 경남대학로 7(경남대학교 한마관 5층)<NA><NA>2017-12-11
29유한회사 함께걷는 발달연구소기타사회서비스제공형장애아동 평가 및 교육, 장애 체육프로그램 사업Y2016-06-29제2016-083호김소형055-289-6694경상남도 창원시 의창구 사림로 63<NA><NA>2017-12-11
30유한회사 떡고물기타일자리제공형떡 제조 및 판매Y2017-07-04제2017-082호조임경055-261-9605경상남도 창원시 의창구 대봉로 26번길 10, 1층 101호(봉림동 봉순빌딩)<NA><NA>2017-12-11
31주식회사 한마음기타일자리제공형인쇄, 타올, 인장, 도장, 실사현수막, 옥외광고 등Y2017-09-12제2017-125호조성진055-542-2808경상남도 창원시 진해구 진해대로 1042(풍호동)<NA><NA>2017-12-11