Overview

Dataset statistics

Number of variables14
Number of observations23
Missing cells14
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory117.7 B

Variable types

Text8
Categorical3
Boolean2
DateTime1

Dataset

Description동구 관내 사회적기업에 관한 데이터로서, 기관명, 인정(지정)일자, 인정(지정)번호, 소재지주소 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15008984/fileData.do

Alerts

인증(지정)여부 has constant value ""Constant
부처형태 has constant value ""Constant
주된목적 is highly overall correlated with 예비형태High correlation
예비형태 is highly overall correlated with 주된목적High correlation
홈페이지주소 has 14 (60.9%) missing valuesMissing
기관명 has unique valuesUnique
사업내용 has unique valuesUnique
인증(지정)번호 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:59:34.347776
Analysis finished2023-12-12 23:59:35.087963
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:59:35.221493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.7826087
Min length4

Characters and Unicode

Total characters202
Distinct characters92
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

Unique23 ?
Unique (%)100.0%

Sample

1st row㈜어울림
2nd row㈜하이브
3rd row㈜신승자원
4th row㈜열린책장
5th row협동조합 뮤즈
ValueCountFrequency (%)
사회적협동조합 3
 
9.7%
협동조합 2
 
6.5%
㈜어울림 1
 
3.2%
사단법인 1
 
3.2%
사법)대전공공 1
 
3.2%
늘솜온동네창작소협동조합 1
 
3.2%
창작집단쟁이 1
 
3.2%
꼼지락협동조합 1
 
3.2%
혁신청 1
 
3.2%
㈜화인건축 1
 
3.2%
Other values (18) 18
58.1%
2023-12-13T08:59:35.519840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
협 11
 
5.4%
동 10
 
5.0%
조 10
 
5.0%
사 9
 
4.5%
합 9
 
4.5%
㈜ 8
 
4.0%
8
 
4.0%
회 6
 
3.0%
인 5
 
2.5%
단 5
 
2.5%
Other values (82) 121
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
90.1%
Other Symbol 8
 
4.0%
Space Separator 8
 
4.0%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
협 11
 
6.0%
동 10
 
5.5%
조 10
 
5.5%
사 9
 
4.9%
합 9
 
4.9%
회 6
 
3.3%
인 5
 
2.7%
단 5
 
2.7%
적 4
 
2.2%
법 4
 
2.2%
Other values (78) 109
59.9%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
94.1%
Common 12
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
협 11
 
5.8%
동 10
 
5.3%
조 10
 
5.3%
사 9
 
4.7%
합 9
 
4.7%
㈜ 8
 
4.2%
회 6
 
3.2%
인 5
 
2.6%
단 5
 
2.6%
적 4
 
2.1%
Other values (79) 113
59.5%
Common
ValueCountFrequency (%)
8
66.7%
( 2
 
16.7%
) 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
90.1%
ASCII 12
 
5.9%
None 8
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
협 11
 
6.0%
동 10
 
5.5%
조 10
 
5.5%
사 9
 
4.9%
합 9
 
4.9%
회 6
 
3.3%
인 5
 
2.7%
단 5
 
2.7%
적 4
 
2.2%
법 4
 
2.2%
Other values (78) 109
59.9%
None
ValueCountFrequency (%)
㈜ 8
100.0%
ASCII
ValueCountFrequency (%)
8
66.7%
( 2
 
16.7%
) 2
 
16.7%

사회서비스분야
Categorical

Distinct9
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
기타
14 
사업시설관리
2 
청소
 
1
예술·관광
 
1
환경
 
1
Other values (4)
4 

Length

Max length6
Median length2
Mean length2.8695652
Min length2

Unique

Unique7 ?
Unique (%)30.4%

Sample

1st row청소
2nd row기타
3rd row기타
4th row기타
5th row예술·관광

Common Values

ValueCountFrequency (%)
기타 14
60.9%
사업시설관리 2
 
8.7%
청소 1
 
4.3%
예술·관광 1
 
4.3%
환경 1
 
4.3%
고용 1
 
4.3%
사회복지 1
 
4.3%
문화,예술 1
 
4.3%
문화, 예술 1
 
4.3%

Length

2023-12-13T08:59:35.669612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:59:35.787048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 14
58.3%
사업시설관리 2
 
8.3%
청소 1
 
4.2%
예술·관광 1
 
4.2%
환경 1
 
4.2%
고용 1
 
4.2%
사회복지 1
 
4.2%
문화,예술 1
 
4.2%
문화 1
 
4.2%
예술 1
 
4.2%

주된목적
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
일자리제공형
12 
혼합형
4 
사회서비스제공형
3 
지역사회공현형
2 
지역사회공헌형
 
1

Length

Max length9
Median length6
Mean length6
Min length3

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
일자리제공형 12
52.2%
혼합형 4
 
17.4%
사회서비스제공형 3
 
13.0%
지역사회공현형 2
 
8.7%
지역사회공헌형 1
 
4.3%
창조혁신형(기타) 1
 
4.3%

Length

2023-12-13T08:59:35.918653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:59:36.016017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 12
52.2%
혼합형 4
 
17.4%
사회서비스제공형 3
 
13.0%
지역사회공현형 2
 
8.7%
지역사회공헌형 1
 
4.3%
창조혁신형(기타 1
 
4.3%

사업내용
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:59:36.223602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length13.608696
Min length6

Characters and Unicode

Total characters313
Distinct characters125
Distinct categories6 ?
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 row집수리, 청소 및 방역, 주거환경개선
2nd row디자인, 인쇄
3rd row파지, 고철 수거
4th row청각장애인용 컨텐츠 제작, 서비스 제공
5th row오케스트라 연주, 공연서비스
ValueCountFrequency (%)
및 8
 
10.4%
판매 3
 
3.9%
제공 2
 
2.6%
제작 2
 
2.6%
집수리 1
 
1.3%
서비스업(s 1
 
1.3%
직업재활,커피박 1
 
1.3%
장애인 1
 
1.3%
벌꿀 1
 
1.3%
양봉 1
 
1.3%
Other values (56) 56
72.7%
2023-12-13T08:59:36.590776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
17.6%
, 22
 
7.0%
리 8
 
2.6%
및 8
 
2.6%
인 7
 
2.2%
제 7
 
2.2%
판 7
 
2.2%
공 6
 
1.9%
스 6
 
1.9%
매 6
 
1.9%
Other values (115) 181
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
74.4%
Space Separator 55
 
17.6%
Other Punctuation 22
 
7.0%
Close Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 8
 
3.4%
및 8
 
3.4%
인 7
 
3.0%
제 7
 
3.0%
판 7
 
3.0%
공 6
 
2.6%
스 6
 
2.6%
매 6
 
2.6%
작 5
 
2.1%
비 5
 
2.1%
Other values (110) 168
72.1%
Space Separator
ValueCountFrequency (%)
55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
74.4%
Common 79
 
25.2%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 8
 
3.4%
및 8
 
3.4%
인 7
 
3.0%
제 7
 
3.0%
판 7
 
3.0%
공 6
 
2.6%
스 6
 
2.6%
매 6
 
2.6%
작 5
 
2.1%
비 5
 
2.1%
Other values (110) 168
72.1%
Common
ValueCountFrequency (%)
55
69.6%
, 22
 
27.8%
) 1
 
1.3%
( 1
 
1.3%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
74.4%
ASCII 80
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
68.8%
, 22
 
27.5%
) 1
 
1.2%
S 1
 
1.2%
( 1
 
1.2%
Hangul
ValueCountFrequency (%)
리 8
 
3.4%
및 8
 
3.4%
인 7
 
3.0%
제 7
 
3.0%
판 7
 
3.0%
공 6
 
2.6%
스 6
 
2.6%
매 6
 
2.6%
작 5
 
2.1%
비 5
 
2.1%
Other values (110) 168
72.1%

인증(지정)여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size155.0 B
True
23 
ValueCountFrequency (%)
True 23
100.0%
2023-12-13T08:59:36.683859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예비형태
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size155.0 B
False
15 
True
8 
ValueCountFrequency (%)
False 15
65.2%
True 8
34.8%
2023-12-13T08:59:36.742318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

부처형태
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
고용노동부
23 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고용노동부 23
100.0%

Length

2023-12-13T08:59:36.825972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:59:36.905031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고용노동부 23
100.0%

인증(지정)일자
Date

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2008-12-30 00:00:00
Maximum2021-09-06 00:00:00
2023-12-13T08:59:36.972682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:59:37.066411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인증(지정)번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:59:37.259192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length11.173913
Min length9

Characters and Unicode

Total characters257
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
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 row제2008-153호
2nd row제2011-54호
3rd row제2016-128호
4th row제2017-12호
5th row제2017-238호
ValueCountFrequency (%)
대전 7
 
18.9%
제 4
 
10.8%
제2008-153호 1
 
2.7%
제2021-197호 1
 
2.7%
국토교통형 1
 
2.7%
2021-14호 1
 
2.7%
2021-13호 1
 
2.7%
2021-12호 1
 
2.7%
2021-02호 1
 
2.7%
제2001-1호 1
 
2.7%
Other values (18) 18
48.6%
2023-12-13T08:59:37.548758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 43
16.7%
1 33
12.8%
0 32
12.5%
제 23
8.9%
- 23
8.9%
호 23
8.9%
14
 
5.4%
8 9
 
3.5%
대 8
 
3.1%
전 8
 
3.1%
Other values (18) 41
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 145
56.4%
Other Letter 75
29.2%
Dash Punctuation 23
 
8.9%
Space Separator 14
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 23
30.7%
호 23
30.7%
대 8
 
10.7%
전 8
 
10.7%
형 2
 
2.7%
지 1
 
1.3%
교 1
 
1.3%
토 1
 
1.3%
국 1
 
1.3%
보 1
 
1.3%
Other values (6) 6
 
8.0%
Decimal Number
ValueCountFrequency (%)
2 43
29.7%
1 33
22.8%
0 32
22.1%
8 9
 
6.2%
3 6
 
4.1%
9 5
 
3.4%
4 5
 
3.4%
5 5
 
3.4%
7 4
 
2.8%
6 3
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
70.8%
Hangul 75
29.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 23
30.7%
호 23
30.7%
대 8
 
10.7%
전 8
 
10.7%
형 2
 
2.7%
지 1
 
1.3%
교 1
 
1.3%
토 1
 
1.3%
국 1
 
1.3%
보 1
 
1.3%
Other values (6) 6
 
8.0%
Common
ValueCountFrequency (%)
2 43
23.6%
1 33
18.1%
0 32
17.6%
- 23
12.6%
14
 
7.7%
8 9
 
4.9%
3 6
 
3.3%
9 5
 
2.7%
4 5
 
2.7%
5 5
 
2.7%
Other values (2) 7
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
70.8%
Hangul 75
29.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 43
23.6%
1 33
18.1%
0 32
17.6%
- 23
12.6%
14
 
7.7%
8 9
 
4.9%
3 6
 
3.3%
9 5
 
2.7%
4 5
 
2.7%
5 5
 
2.7%
Other values (2) 7
 
3.8%
Hangul
ValueCountFrequency (%)
제 23
30.7%
호 23
30.7%
대 8
 
10.7%
전 8
 
10.7%
형 2
 
2.7%
지 1
 
1.3%
교 1
 
1.3%
토 1
 
1.3%
국 1
 
1.3%
보 1
 
1.3%
Other values (6) 6
 
8.0%

대표자명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:59:37.719534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters51
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

Unique23 ?
Unique (%)100.0%

Sample

1st row임헌성
2nd row홍초롱
3rd row신승엽
4th row곽미옥
5th row송정희
ValueCountFrequency (%)
임헌성 1
 
4.3%
한만승 1
 
4.3%
배의선 1
 
4.3%
김수진 1
 
4.3%
백호진 1
 
4.3%
김영진 1
 
4.3%
유정원 1
 
4.3%
박해영 1
 
4.3%
이병호 1
 
4.3%
김상배 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T08:59:37.993757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
8.7%
진 4
 
5.8%
현 3
 
4.3%
승 2
 
2.9%
정 2
 
2.9%
호 2
 
2.9%
영 2
 
2.9%
배 2
 
2.9%
박 2
 
2.9%
환 2
 
2.9%
Other values (41) 42
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
8.7%
진 4
 
5.8%
현 3
 
4.3%
승 2
 
2.9%
정 2
 
2.9%
호 2
 
2.9%
영 2
 
2.9%
배 2
 
2.9%
박 2
 
2.9%
환 2
 
2.9%
Other values (41) 42
60.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
8.7%
진 4
 
5.8%
현 3
 
4.3%
승 2
 
2.9%
정 2
 
2.9%
호 2
 
2.9%
영 2
 
2.9%
배 2
 
2.9%
박 2
 
2.9%
환 2
 
2.9%
Other values (41) 42
60.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
8.7%
진 4
 
5.8%
현 3
 
4.3%
승 2
 
2.9%
정 2
 
2.9%
호 2
 
2.9%
영 2
 
2.9%
배 2
 
2.9%
박 2
 
2.9%
환 2
 
2.9%
Other values (41) 42
60.9%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:59:38.217765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.086957
Min length12

Characters and Unicode

Total characters278
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

Unique23 ?
Unique (%)100.0%

Sample

1st row042-274-9110
2nd row042-223-0781
3rd row042-536-0089
4th row042-719-1004
5th row042-345-3448
ValueCountFrequency (%)
042-274-9110 1
 
4.3%
042-255-0420 1
 
4.3%
040-3526-4849 1
 
4.3%
042-282-2116 1
 
4.3%
042-622-7078 1
 
4.3%
042-224-2495 1
 
4.3%
042-253-1100 1
 
4.3%
042-283-8070 1
 
4.3%
042-271-7003 1
 
4.3%
044-864-5654 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T08:59:38.517299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 53
19.1%
- 46
16.5%
4 44
15.8%
0 43
15.5%
7 17
 
6.1%
1 15
 
5.4%
5 15
 
5.4%
8 13
 
4.7%
3 12
 
4.3%
6 11
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
83.5%
Dash Punctuation 46
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 53
22.8%
4 44
19.0%
0 43
18.5%
7 17
 
7.3%
1 15
 
6.5%
5 15
 
6.5%
8 13
 
5.6%
3 12
 
5.2%
6 11
 
4.7%
9 9
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 53
19.1%
- 46
16.5%
4 44
15.8%
0 43
15.5%
7 17
 
6.1%
1 15
 
5.4%
5 15
 
5.4%
8 13
 
4.7%
3 12
 
4.3%
6 11
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 53
19.1%
- 46
16.5%
4 44
15.8%
0 43
15.5%
7 17
 
6.1%
1 15
 
5.4%
5 15
 
5.4%
8 13
 
4.7%
3 12
 
4.3%
6 11
 
4.0%

소재지도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:59:38.726511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length22.608696
Min length15

Characters and Unicode

Total characters520
Distinct characters65
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

Unique23 ?
Unique (%)100.0%

Sample

1st row대전광역시 동구 우암로 310(가양동)
2nd row대전광역시 동구 태전로 24(중동, 2층)
3rd row대전광역시 동구 대전로 601(효동)
4th row대전광역시 동구 동대전로 110번길 164, 1층
5th row대전광역시 동구 대전로 626(효동)
ValueCountFrequency (%)
대전광역시 23
22.1%
동구 23
22.1%
계족로 4
 
3.8%
태전로 2
 
1.9%
2층 2
 
1.9%
대전로 2
 
1.9%
동대전로 2
 
1.9%
효동 2
 
1.9%
203번길 1
 
1.0%
406호(중동 1
 
1.0%
Other values (42) 42
40.4%
2023-12-13T08:59:39.049502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
15.6%
동 45
 
8.7%
대 35
 
6.7%
전 31
 
6.0%
1 24
 
4.6%
광 23
 
4.4%
역 23
 
4.4%
시 23
 
4.4%
구 23
 
4.4%
로 21
 
4.0%
Other values (55) 191
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
59.6%
Decimal Number 86
 
16.5%
Space Separator 81
 
15.6%
Close Punctuation 18
 
3.5%
Open Punctuation 18
 
3.5%
Other Punctuation 6
 
1.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
14.5%
대 35
11.3%
전 31
10.0%
광 23
 
7.4%
역 23
 
7.4%
시 23
 
7.4%
구 23
 
7.4%
로 21
 
6.8%
길 9
 
2.9%
번 7
 
2.3%
Other values (40) 70
22.6%
Decimal Number
ValueCountFrequency (%)
1 24
27.9%
4 12
14.0%
2 12
14.0%
0 10
11.6%
6 9
 
10.5%
5 5
 
5.8%
3 5
 
5.8%
9 4
 
4.7%
8 4
 
4.7%
7 1
 
1.2%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
59.6%
Common 210
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
14.5%
대 35
11.3%
전 31
10.0%
광 23
 
7.4%
역 23
 
7.4%
시 23
 
7.4%
구 23
 
7.4%
로 21
 
6.8%
길 9
 
2.9%
번 7
 
2.3%
Other values (40) 70
22.6%
Common
ValueCountFrequency (%)
81
38.6%
1 24
 
11.4%
) 18
 
8.6%
( 18
 
8.6%
4 12
 
5.7%
2 12
 
5.7%
0 10
 
4.8%
6 9
 
4.3%
, 6
 
2.9%
5 5
 
2.4%
Other values (5) 15
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
59.6%
ASCII 210
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
38.6%
1 24
 
11.4%
) 18
 
8.6%
( 18
 
8.6%
4 12
 
5.7%
2 12
 
5.7%
0 10
 
4.8%
6 9
 
4.3%
, 6
 
2.9%
5 5
 
2.4%
Other values (5) 15
 
7.1%
Hangul
ValueCountFrequency (%)
동 45
14.5%
대 35
11.3%
전 31
10.0%
광 23
 
7.4%
역 23
 
7.4%
시 23
 
7.4%
구 23
 
7.4%
로 21
 
6.8%
길 9
 
2.9%
번 7
 
2.3%
Other values (40) 70
22.6%

소재지지번주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:59:39.238416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17.521739
Min length15

Characters and Unicode

Total characters403
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
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 row대전광역시 동구 가양동 171-16
2nd row대전광역시 동구 삼성동 125-2
3rd row대전광역시 동구 효동 296-6
4th row대전광역시 동구 대동 1-35
5th row대전광역시 동구 효동 247-1
ValueCountFrequency (%)
대전광역시 23
25.0%
동구 23
25.0%
효동 4
 
4.3%
대동 3
 
3.3%
자양동 2
 
2.2%
가양동 2
 
2.2%
원동 2
 
2.2%
용전동 2
 
2.2%
중동 1
 
1.1%
9-5 1
 
1.1%
Other values (29) 29
31.5%
2023-12-13T08:59:39.540164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
17.4%
동 46
11.4%
대 28
 
6.9%
전 25
 
6.2%
광 23
 
5.7%
역 23
 
5.7%
시 23
 
5.7%
구 23
 
5.7%
- 21
 
5.2%
1 20
 
5.0%
Other values (28) 101
25.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
54.3%
Decimal Number 92
22.8%
Space Separator 70
 
17.4%
Dash Punctuation 21
 
5.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
21.0%
대 28
12.8%
전 25
11.4%
광 23
10.5%
역 23
10.5%
시 23
10.5%
구 23
10.5%
효 4
 
1.8%
양 4
 
1.8%
원 2
 
0.9%
Other values (15) 18
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 20
21.7%
2 17
18.5%
5 11
12.0%
3 9
9.8%
9 8
 
8.7%
6 8
 
8.7%
4 7
 
7.6%
7 6
 
6.5%
0 3
 
3.3%
8 3
 
3.3%
Space Separator
ValueCountFrequency (%)
70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
54.3%
Common 184
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
21.0%
대 28
12.8%
전 25
11.4%
광 23
10.5%
역 23
10.5%
시 23
10.5%
구 23
10.5%
효 4
 
1.8%
양 4
 
1.8%
원 2
 
0.9%
Other values (15) 18
 
8.2%
Common
ValueCountFrequency (%)
70
38.0%
- 21
 
11.4%
1 20
 
10.9%
2 17
 
9.2%
5 11
 
6.0%
3 9
 
4.9%
9 8
 
4.3%
6 8
 
4.3%
4 7
 
3.8%
7 6
 
3.3%
Other values (3) 7
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
54.3%
ASCII 184
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
38.0%
- 21
 
11.4%
1 20
 
10.9%
2 17
 
9.2%
5 11
 
6.0%
3 9
 
4.9%
9 8
 
4.3%
6 8
 
4.3%
4 7
 
3.8%
7 6
 
3.3%
Other values (3) 7
 
3.8%
Hangul
ValueCountFrequency (%)
동 46
21.0%
대 28
12.8%
전 25
11.4%
광 23
10.5%
역 23
10.5%
시 23
10.5%
구 23
10.5%
효 4
 
1.8%
양 4
 
1.8%
원 2
 
0.9%
Other values (15) 18
 
8.2%

홈페이지주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing14
Missing (%)60.9%
Memory size316.0 B
2023-12-13T08:59:39.706131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.222222
Min length16

Characters and Unicode

Total characters182
Distinct characters31
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

Unique9 ?
Unique (%)100.0%

Sample

1st rowwww.hive365.co.kr
2nd rowhttp://www.wingbook.co.kr/
3rd rowhttp://www.뮤즈.kr/
4th rowwww.gajahistory.kr
5th rowjoeuncp.modoo.at
ValueCountFrequency (%)
www.hive365.co.kr 1
11.1%
http://www.wingbook.co.kr 1
11.1%
http://www.뮤즈.kr 1
11.1%
www.gajahistory.kr 1
11.1%
joeuncp.modoo.at 1
11.1%
www.light-sound.co.kr 1
11.1%
http://happyconnet.co.kr 1
11.1%
www.yeonliji.com 1
11.1%
http://innovationyouth.com 1
11.1%
2023-12-13T08:59:40.022343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 20
 
11.0%
w 19
 
10.4%
o 19
 
10.4%
t 14
 
7.7%
/ 11
 
6.0%
h 9
 
4.9%
n 9
 
4.9%
i 8
 
4.4%
c 8
 
4.4%
p 7
 
3.8%
Other values (21) 58
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 141
77.5%
Other Punctuation 35
 
19.2%
Decimal Number 3
 
1.6%
Other Letter 2
 
1.1%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 19
13.5%
o 19
13.5%
t 14
9.9%
h 9
 
6.4%
n 9
 
6.4%
i 8
 
5.7%
c 8
 
5.7%
p 7
 
5.0%
k 7
 
5.0%
r 7
 
5.0%
Other values (12) 34
24.1%
Other Punctuation
ValueCountFrequency (%)
. 20
57.1%
/ 11
31.4%
: 4
 
11.4%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Other Letter
ValueCountFrequency (%)
뮤 1
50.0%
즈 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 141
77.5%
Common 39
 
21.4%
Hangul 2
 
1.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 19
13.5%
o 19
13.5%
t 14
9.9%
h 9
 
6.4%
n 9
 
6.4%
i 8
 
5.7%
c 8
 
5.7%
p 7
 
5.0%
k 7
 
5.0%
r 7
 
5.0%
Other values (12) 34
24.1%
Common
ValueCountFrequency (%)
. 20
51.3%
/ 11
28.2%
: 4
 
10.3%
5 1
 
2.6%
6 1
 
2.6%
3 1
 
2.6%
- 1
 
2.6%
Hangul
ValueCountFrequency (%)
뮤 1
50.0%
즈 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 20
 
11.1%
w 19
 
10.6%
o 19
 
10.6%
t 14
 
7.8%
/ 11
 
6.1%
h 9
 
5.0%
n 9
 
5.0%
i 8
 
4.4%
c 8
 
4.4%
p 7
 
3.9%
Other values (19) 56
31.1%
Hangul
ValueCountFrequency (%)
뮤 1
50.0%
즈 1
50.0%

Correlations

2023-12-13T08:59:40.115006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용예비형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.0001.0000.2360.9201.0001.0001.0001.0001.0001.000
주된목적1.0000.0001.0001.0000.8340.3311.0001.0001.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
예비형태1.0000.2360.8341.0001.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)일자1.0000.9200.3311.0001.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T08:59:40.227826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예비형태사회서비스분야주된목적
예비형태1.0000.1460.569
사회서비스분야0.1461.0000.000
주된목적0.5690.0001.000
2023-12-13T08:59:40.310702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적예비형태
사회서비스분야1.0000.0000.146
주된목적0.0001.0000.569
예비형태0.1460.5691.000

Missing values

2023-12-13T08:59:34.881946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:59:35.028914image/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

기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
0㈜어울림청소혼합형집수리, 청소 및 방역, 주거환경개선YN고용노동부2008-12-30제2008-153호임헌성042-274-9110대전광역시 동구 우암로 310(가양동)대전광역시 동구 가양동 171-16<NA>
1㈜하이브기타혼합형디자인, 인쇄YN고용노동부2011-07-20제2011-54호홍초롱042-223-0781대전광역시 동구 태전로 24(중동, 2층)대전광역시 동구 삼성동 125-2www.hive365.co.kr
2㈜신승자원기타일자리제공형파지, 고철 수거YN고용노동부2016-09-06제2016-128호신승엽042-536-0089대전광역시 동구 대전로 601(효동)대전광역시 동구 효동 296-6<NA>
3㈜열린책장기타일자리제공형청각장애인용 컨텐츠 제작, 서비스 제공YN고용노동부2017-03-02제2017-12호곽미옥042-719-1004대전광역시 동구 동대전로 110번길 164, 1층대전광역시 동구 대동 1-35http://www.wingbook.co.kr/
4협동조합 뮤즈예술·관광일자리제공형오케스트라 연주, 공연서비스YN고용노동부2017-12-29제2017-238호송정희042-345-3448대전광역시 동구 대전로 626(효동)대전광역시 동구 효동 247-1http://www.뮤즈.kr/
5사단법인백제문화원기타지역사회공헌형공연, 문화서비스 제공YN고용노동부2015-09-22제2015-165호권득용042-471-7211대전광역시 동구 대별로 26-14(대별동)대전광역시 동구 대별동 256www.gajahistory.kr
6㈜조은컴퍼니사업시설관리일자리제공형건물시설관리YN고용노동부2018-09-04제2018-147호윤주현042-622-2599대전광역시 동구 백룡로5번길 81(자양동)대전광역시 동구 자양동 197-21joeuncp.modoo.at
7빛과소리㈜기타일자리제공형전기, 조명장치 제조 판매YN고용노동부2018-07-03제2018-98호김보현042-625-0546대전광역시 동구 동대전로110번길 164(대동)대전광역시 동구 대동1-35www.light-sound.co.kr
8㈜대성씨엔씨사업시설관리일자리제공형건물 종합관리, 위생관리YN고용노동부2019-05-20대전 제2019-2호박종철042-824-8940대전광역시 동구 계족로 412(용전동)대전광역시 동구 용전동 145-8<NA>
9마을살림공작소기타혼합형카페, 체험교육YN고용노동부2019-08-01대전 제2019-23호류은덕042-222-4632대전광역시 동구 중앙로200번길 104(원동)대전광역시 동구 원동 85-26<NA>
기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
13사단법인 한국장애인사진콘텐츠협회고용일자리제공형출판,영상,방송통신 및 정보서비스YN고용노동부2021-03-10제2021-033호김지환042-274-5581대전광역시 동구 새울로 41대전광역시 동구 판암동 239-2<NA>
14(사)대한문화체육교육협회기타일자리제공형협회 및 단체, 수리 및 개인 서비스업(S)YN고용노동부2021-07-15제2021-197호김상배044-864-5654대전광역시 동구 태전로 25, 406호(중동 도심형산업지원플랫폼)대전광역시 동구 중동 9-5, 406호<NA>
15가마봉양봉 협동조합기타일자리제공형양봉, 벌꿀 판매YY고용노동부2021-03-01대전광역시 제2020-1호이병호042-271-7003대전광역시 동구 대청호수로428번길 111(주산동)대전광역시 동구 주산동 194-2<NA>
16하모니 사회적협동조합사회복지혼합형장애인 직업재활,커피박 공예품 생산판매YY고용노동부2020-10-22보건복지형 제2020-24호박해영042-283-8070대전광역시 동구 보문로 4, 2층 (효동)대전광역시 동구 효동 253-1<NA>
17㈜화인건축기타일자리제공형인테리어 리모델링 등YY고용노동부2021-03-05대전 제2001-1호유정원042-253-1100대전광역시 동구 중앙로 203번길 61대전광역시 동구 정동 31-21<NA>
18사회적협동조합 혁신청기타지역사회공현형정책 제도개선 및 대안개발YY고용노동부2021-03-05대전 제 2021-02호김영진042-224-2495대전광역시 동구 동대전로 159(자양동)대전광역시 동구 자양동 67-15http://innovationyouth.com/
19꼼지락협동조합기타지역사회공현형온라인판매,유통YY고용노동부2021-09-06대전 제 2021-12호백호진042-622-7078대전광역시 동구 흥룡로37번 길 19 (가양동)대전광역시 동구 가양동 39-15<NA>
20창작집단쟁이 사회적협동조합문화,예술사회서비스제공형공연창작 및 제작, 예술교육YY고용노동부2021-09-06대전 제 2021-13호김수진042-282-2116대전광역시 동구 비룡로 32대전광역시 동구 비룡동 307-4<NA>
21늘솜온동네창작소협동조합기타사회서비스제공형작품제작, 전시, 판매, 교육YY고용노동부2021-09-06대전 제 2021-14호배의선040-3526-4849대전광역시 동구 계족로 6, 103호 (효동)대전광역시 동구 효동 132-3<NA>
22(사법)대전공공 미술연구원문화, 예술사회서비스제공형갤러리 관람 및 체험YY고용노동부2020-09-28국토교통형 제2020-09호황혜진042-273-5210대전광역시 동구 창조2길 8(원동)대전광역시 동구 원동 102-26<NA>