Overview

Dataset statistics

Number of variables9
Number of observations51
Missing cells14
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory74.6 B

Variable types

Text5
Categorical1
Boolean2
DateTime1

Dataset

Description사회적 기업 현황으로 기관명, 사업내용, 인증(예비)형태, 인증지정일, 소재지전화번화, 소재지주소(도로명,지번) 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15011921/fileData.do

Alerts

예비형태 is highly overall correlated with 유형 and 1 other fieldsHigh correlation
유형 is highly overall correlated with 인증(지정)여부 and 1 other fieldsHigh correlation
인증(지정)여부 is highly overall correlated with 유형 and 1 other fieldsHigh correlation
전화번호 has 14 (27.5%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:06:04.876439
Analysis finished2023-12-11 23:06:05.730369
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:06:05.966340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.3333333
Min length3

Characters and Unicode

Total characters425
Distinct characters149
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

Unique51 ?
Unique (%)100.0%

Sample

1st row㈜나눔과돌봄
2nd row㈜행복을나누는사람들 행복한동행
3rd row㈜우렁각시매직케어
4th row㈜크린서비스청
5th row주식회사이오에스
ValueCountFrequency (%)
사회적협동조합 5
 
8.1%
주식회사 5
 
8.1%
㈜나눔과돌봄 1
 
1.6%
㈜쏘션 1
 
1.6%
주)눙눙이 1
 
1.6%
필그린 1
 
1.6%
부천의료복지사회적협동조합 1
 
1.6%
㈜이노보청기 1
 
1.6%
㈜참교육 1
 
1.6%
㈜브이리스브이알 1
 
1.6%
Other values (44) 44
71.0%
2023-12-12T08:06:06.358603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 25
 
5.9%
㈜ 24
 
5.6%
회 21
 
4.9%
주 15
 
3.5%
13
 
3.1%
동 13
 
3.1%
조 12
 
2.8%
식 12
 
2.8%
합 12
 
2.8%
협 11
 
2.6%
Other values (139) 267
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
89.4%
Other Symbol 24
 
5.6%
Space Separator 13
 
3.1%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 25
 
6.6%
회 21
 
5.5%
주 15
 
3.9%
동 13
 
3.4%
조 12
 
3.2%
식 12
 
3.2%
합 12
 
3.2%
협 11
 
2.9%
이 10
 
2.6%
적 10
 
2.6%
Other values (135) 239
62.9%
Other Symbol
ValueCountFrequency (%)
㈜ 24
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
95.1%
Common 21
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 25
 
6.2%
㈜ 24
 
5.9%
회 21
 
5.2%
주 15
 
3.7%
동 13
 
3.2%
조 12
 
3.0%
식 12
 
3.0%
합 12
 
3.0%
협 11
 
2.7%
이 10
 
2.5%
Other values (136) 249
61.6%
Common
ValueCountFrequency (%)
13
61.9%
) 4
 
19.0%
( 4
 
19.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
89.4%
None 24
 
5.6%
ASCII 21
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 25
 
6.6%
회 21
 
5.5%
주 15
 
3.9%
동 13
 
3.4%
조 12
 
3.2%
식 12
 
3.2%
합 12
 
3.2%
협 11
 
2.9%
이 10
 
2.6%
적 10
 
2.6%
Other values (135) 239
62.9%
None
ValueCountFrequency (%)
㈜ 24
100.0%
ASCII
ValueCountFrequency (%)
13
61.9%
) 4
 
19.0%
( 4
 
19.0%

유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
예비사회적기업
27 
사회적기업
24 

Length

Max length7
Median length7
Mean length6.0588235
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예비사회적기업 27
52.9%
사회적기업 24
47.1%

Length

2023-12-12T08:06:06.536329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:06:06.665632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예비사회적기업 27
52.9%
사회적기업 24
47.1%

사업내용
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:06:06.946900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length15.098039
Min length2

Characters and Unicode

Total characters770
Distinct characters173
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

Unique43 ?
Unique (%)84.3%

Sample

1st row가사간병 방문서비스
2nd row복사골 김치, 마을카페 운영,생필품, 사무용품 유통
3rd row청소용역(학교, 병원 등 건물청소)
4th row청소용역(학교, 병원 등 건물청소)
5th row조명기기 제조(형광등, LED조명, 가로등기구)
ValueCountFrequency (%)
및 14
 
7.7%
등 8
 
4.4%
교육 7
 
3.8%
서비스업 6
 
3.3%
제조 4
 
2.2%
사무용품 4
 
2.2%
영상 3
 
1.6%
도소매 3
 
1.6%
제작 3
 
1.6%
여가관련 2
 
1.1%
Other values (106) 129
70.5%
2023-12-12T08:06:07.392344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
17.7%
, 46
 
6.0%
업 27
 
3.5%
사 20
 
2.6%
스 19
 
2.5%
비 18
 
2.3%
서 17
 
2.2%
교 15
 
1.9%
소 15
 
1.9%
및 14
 
1.8%
Other values (163) 443
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
73.5%
Space Separator 136
 
17.7%
Other Punctuation 50
 
6.5%
Open Punctuation 7
 
0.9%
Close Punctuation 7
 
0.9%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 27
 
4.8%
사 20
 
3.5%
스 19
 
3.4%
비 18
 
3.2%
서 17
 
3.0%
교 15
 
2.7%
소 15
 
2.7%
및 14
 
2.5%
육 14
 
2.5%
등 13
 
2.3%
Other values (152) 394
69.6%
Other Punctuation
ValueCountFrequency (%)
, 46
92.0%
/ 2
 
4.0%
. 1
 
2.0%
& 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
E 1
25.0%
D 1
25.0%
R 1
25.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
73.5%
Common 200
 
26.0%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 27
 
4.8%
사 20
 
3.5%
스 19
 
3.4%
비 18
 
3.2%
서 17
 
3.0%
교 15
 
2.7%
소 15
 
2.7%
및 14
 
2.5%
육 14
 
2.5%
등 13
 
2.3%
Other values (152) 394
69.6%
Common
ValueCountFrequency (%)
136
68.0%
, 46
 
23.0%
( 7
 
3.5%
) 7
 
3.5%
/ 2
 
1.0%
. 1
 
0.5%
& 1
 
0.5%
Latin
ValueCountFrequency (%)
L 1
25.0%
E 1
25.0%
D 1
25.0%
R 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
73.5%
ASCII 204
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
66.7%
, 46
 
22.5%
( 7
 
3.4%
) 7
 
3.4%
/ 2
 
1.0%
. 1
 
0.5%
& 1
 
0.5%
L 1
 
0.5%
E 1
 
0.5%
D 1
 
0.5%
Hangul
ValueCountFrequency (%)
업 27
 
4.8%
사 20
 
3.5%
스 19
 
3.4%
비 18
 
3.2%
서 17
 
3.0%
교 15
 
2.7%
소 15
 
2.7%
및 14
 
2.5%
육 14
 
2.5%
등 13
 
2.3%
Other values (152) 394
69.6%

인증(지정)여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size183.0 B
False
27 
True
24 
ValueCountFrequency (%)
False 27
52.9%
True 24
47.1%
2023-12-12T08:06:07.525674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예비형태
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size183.0 B
True
27 
False
24 
ValueCountFrequency (%)
True 27
52.9%
False 24
47.1%
2023-12-12T08:06:07.627726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증(지정)일자
Date

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2009-05-28 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T08:06:07.760203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:06:07.904543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

전화번호
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing14
Missing (%)27.5%
Memory size540.0 B
2023-12-12T08:06:08.144661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.675676
Min length1

Characters and Unicode

Total characters432
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row032-323-9264
2nd row032-612-0124
3rd row032-679-2921
4th row032-326-8799
5th row032-670-7714
ValueCountFrequency (%)
070-8721-0901 1
 
2.8%
070-8866-7065 1
 
2.8%
032-349-1010 1
 
2.8%
032-653-8885 1
 
2.8%
070-8146-2725 1
 
2.8%
032-713-4644 1
 
2.8%
032-614-1511 1
 
2.8%
032-277-4049 1
 
2.8%
032-715-7216 1
 
2.8%
032-344-1970 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T08:06:08.479319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
16.2%
0 66
15.3%
2 57
13.2%
3 48
11.1%
6 36
8.3%
7 34
7.9%
1 33
7.6%
5 26
 
6.0%
4 21
 
4.9%
8 20
 
4.6%
Other values (2) 21
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 361
83.6%
Dash Punctuation 70
 
16.2%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
18.3%
2 57
15.8%
3 48
13.3%
6 36
10.0%
7 34
9.4%
1 33
9.1%
5 26
 
7.2%
4 21
 
5.8%
8 20
 
5.5%
9 20
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 70
16.2%
0 66
15.3%
2 57
13.2%
3 48
11.1%
6 36
8.3%
7 34
7.9%
1 33
7.6%
5 26
 
6.0%
4 21
 
4.9%
8 20
 
4.6%
Other values (2) 21
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
16.2%
0 66
15.3%
2 57
13.2%
3 48
11.1%
6 36
8.3%
7 34
7.9%
1 33
7.6%
5 26
 
6.0%
4 21
 
4.9%
8 20
 
4.6%
Other values (2) 21
 
4.9%

소재지주소(도로명)
Text

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:06:08.696611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length28.294118
Min length15

Characters and Unicode

Total characters1443
Distinct characters138
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)90.2%

Sample

1st row부천시 석천로184번길 16, 3층(중동)
2nd row부천시 성곡로 63번길 104(도당동)
3rd row부천시 소향로 225, 비동 201호, 204호(중동, 디아뜨갤러리3차)
4th row부천시 부흥로303번길 8, 402(중동,청원프라자)
5th row부천시 도약로 261, 부천대우테크노파크D동1102호(도당동)
ValueCountFrequency (%)
부천시 51
 
21.9%
경인로 6
 
2.6%
202동 5
 
2.1%
60번길 5
 
2.1%
2층(송내동 5
 
2.1%
부천로198번길 4
 
1.7%
18 4
 
1.7%
40 4
 
1.7%
장말로 3
 
1.3%
40(송내동 3
 
1.3%
Other values (129) 143
61.4%
2023-12-12T08:06:09.106048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
 
13.0%
부 66
 
4.6%
2 63
 
4.4%
천 62
 
4.3%
동 60
 
4.2%
, 57
 
4.0%
0 55
 
3.8%
1 54
 
3.7%
시 52
 
3.6%
( 51
 
3.5%
Other values (128) 736
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
53.3%
Decimal Number 315
21.8%
Space Separator 187
 
13.0%
Other Punctuation 57
 
4.0%
Open Punctuation 51
 
3.5%
Close Punctuation 51
 
3.5%
Uppercase Letter 8
 
0.6%
Dash Punctuation 4
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 66
 
8.6%
천 62
 
8.1%
동 60
 
7.8%
시 52
 
6.8%
로 51
 
6.6%
길 34
 
4.4%
번 31
 
4.0%
호 26
 
3.4%
경 15
 
2.0%
층 14
 
1.8%
Other values (107) 358
46.6%
Decimal Number
ValueCountFrequency (%)
2 63
20.0%
0 55
17.5%
1 54
17.1%
3 32
10.2%
4 28
8.9%
6 21
 
6.7%
8 19
 
6.0%
5 15
 
4.8%
7 15
 
4.8%
9 13
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
I 4
50.0%
B 1
 
12.5%
H 1
 
12.5%
S 1
 
12.5%
D 1
 
12.5%
Space Separator
ValueCountFrequency (%)
187
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
53.3%
Common 665
46.1%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 66
 
8.6%
천 62
 
8.1%
동 60
 
7.8%
시 52
 
6.8%
로 51
 
6.6%
길 34
 
4.4%
번 31
 
4.0%
호 26
 
3.4%
경 15
 
2.0%
층 14
 
1.8%
Other values (107) 358
46.6%
Common
ValueCountFrequency (%)
187
28.1%
2 63
 
9.5%
, 57
 
8.6%
0 55
 
8.3%
1 54
 
8.1%
( 51
 
7.7%
) 51
 
7.7%
3 32
 
4.8%
4 28
 
4.2%
6 21
 
3.2%
Other values (5) 66
 
9.9%
Latin
ValueCountFrequency (%)
I 4
44.4%
B 1
 
11.1%
H 1
 
11.1%
S 1
 
11.1%
D 1
 
11.1%
Ⅱ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
53.3%
ASCII 673
46.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
27.8%
2 63
 
9.4%
, 57
 
8.5%
0 55
 
8.2%
1 54
 
8.0%
( 51
 
7.6%
) 51
 
7.6%
3 32
 
4.8%
4 28
 
4.2%
6 21
 
3.1%
Other values (10) 74
 
11.0%
Hangul
ValueCountFrequency (%)
부 66
 
8.6%
천 62
 
8.1%
동 60
 
7.8%
시 52
 
6.8%
로 51
 
6.6%
길 34
 
4.4%
번 31
 
4.0%
호 26
 
3.4%
경 15
 
2.0%
층 14
 
1.8%
Other values (107) 358
46.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지주소(지번)
Text

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:06:09.343566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length28.294118
Min length15

Characters and Unicode

Total characters1443
Distinct characters138
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)90.2%

Sample

1st row부천시 석천로184번길 16, 3층(중동)
2nd row부천시 성곡로 63번길 104(도당동)
3rd row부천시 소향로 225, 비동 201호, 204호(중동, 디아뜨갤러리3차)
4th row부천시 부흥로303번길 8, 402(중동,청원프라자)
5th row부천시 도약로 261, 부천대우테크노파크D동1102호(도당동)
ValueCountFrequency (%)
부천시 51
 
21.9%
경인로 6
 
2.6%
202동 5
 
2.1%
60번길 5
 
2.1%
2층(송내동 5
 
2.1%
부천로198번길 4
 
1.7%
18 4
 
1.7%
40 4
 
1.7%
장말로 3
 
1.3%
40(송내동 3
 
1.3%
Other values (129) 143
61.4%
2023-12-12T08:06:09.716013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
 
13.0%
부 66
 
4.6%
2 63
 
4.4%
천 62
 
4.3%
동 60
 
4.2%
, 57
 
4.0%
0 55
 
3.8%
1 54
 
3.7%
시 52
 
3.6%
( 51
 
3.5%
Other values (128) 736
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
53.3%
Decimal Number 315
21.8%
Space Separator 187
 
13.0%
Other Punctuation 57
 
4.0%
Open Punctuation 51
 
3.5%
Close Punctuation 51
 
3.5%
Uppercase Letter 8
 
0.6%
Dash Punctuation 4
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 66
 
8.6%
천 62
 
8.1%
동 60
 
7.8%
시 52
 
6.8%
로 51
 
6.6%
길 34
 
4.4%
번 31
 
4.0%
호 26
 
3.4%
경 15
 
2.0%
층 14
 
1.8%
Other values (107) 358
46.6%
Decimal Number
ValueCountFrequency (%)
2 63
20.0%
0 55
17.5%
1 54
17.1%
3 32
10.2%
4 28
8.9%
6 21
 
6.7%
8 19
 
6.0%
5 15
 
4.8%
7 15
 
4.8%
9 13
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
I 4
50.0%
B 1
 
12.5%
H 1
 
12.5%
S 1
 
12.5%
D 1
 
12.5%
Space Separator
ValueCountFrequency (%)
187
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
53.3%
Common 665
46.1%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 66
 
8.6%
천 62
 
8.1%
동 60
 
7.8%
시 52
 
6.8%
로 51
 
6.6%
길 34
 
4.4%
번 31
 
4.0%
호 26
 
3.4%
경 15
 
2.0%
층 14
 
1.8%
Other values (107) 358
46.6%
Common
ValueCountFrequency (%)
187
28.1%
2 63
 
9.5%
, 57
 
8.6%
0 55
 
8.3%
1 54
 
8.1%
( 51
 
7.7%
) 51
 
7.7%
3 32
 
4.8%
4 28
 
4.2%
6 21
 
3.2%
Other values (5) 66
 
9.9%
Latin
ValueCountFrequency (%)
I 4
44.4%
B 1
 
11.1%
H 1
 
11.1%
S 1
 
11.1%
D 1
 
11.1%
Ⅱ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
53.3%
ASCII 673
46.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
27.8%
2 63
 
9.4%
, 57
 
8.5%
0 55
 
8.2%
1 54
 
8.0%
( 51
 
7.6%
) 51
 
7.6%
3 32
 
4.8%
4 28
 
4.2%
6 21
 
3.1%
Other values (10) 74
 
11.0%
Hangul
ValueCountFrequency (%)
부 66
 
8.6%
천 62
 
8.1%
동 60
 
7.8%
시 52
 
6.8%
로 51
 
6.6%
길 34
 
4.4%
번 31
 
4.0%
호 26
 
3.4%
경 15
 
2.0%
층 14
 
1.8%
Other values (107) 358
46.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Correlations

2023-12-12T08:06:09.826497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명유형사업내용인증(지정)여부예비형태인증(지정)일자전화번호소재지주소(도로명)소재지주소(지번)
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
유형1.0001.0001.0000.9980.9981.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0000.9361.0000.9790.979
인증(지정)여부1.0000.9981.0001.0000.9981.0001.0001.0001.000
예비형태1.0000.9981.0000.9981.0001.0001.0001.0001.000
인증(지정)일자1.0001.0000.9361.0001.0001.0001.0000.9560.956
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소(도로명)1.0001.0000.9791.0001.0000.9561.0001.0001.000
소재지주소(지번)1.0001.0000.9791.0001.0000.9561.0001.0001.000
2023-12-12T08:06:09.952710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예비형태유형인증(지정)여부
예비형태1.0000.9600.960
유형0.9601.0000.960
인증(지정)여부0.9600.9601.000
2023-12-12T08:06:10.042573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형인증(지정)여부예비형태
유형1.0000.9600.960
인증(지정)여부0.9601.0000.960
예비형태0.9600.9601.000

Missing values

2023-12-12T08:06:05.496470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:06:05.671349image/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

기관명유형사업내용인증(지정)여부예비형태인증(지정)일자전화번호소재지주소(도로명)소재지주소(지번)
0㈜나눔과돌봄사회적기업가사간병 방문서비스YN2009-05-28032-323-9264부천시 석천로184번길 16, 3층(중동)부천시 석천로184번길 16, 3층(중동)
1㈜행복을나누는사람들 행복한동행사회적기업복사골 김치, 마을카페 운영,생필품, 사무용품 유통YN2010-05-26032-612-0124부천시 성곡로 63번길 104(도당동)부천시 성곡로 63번길 104(도당동)
2㈜우렁각시매직케어사회적기업청소용역(학교, 병원 등 건물청소)YN2010-12-22032-679-2921부천시 소향로 225, 비동 201호, 204호(중동, 디아뜨갤러리3차)부천시 소향로 225, 비동 201호, 204호(중동, 디아뜨갤러리3차)
3㈜크린서비스청사회적기업청소용역(학교, 병원 등 건물청소)YN2011-05-27032-326-8799부천시 부흥로303번길 8, 402(중동,청원프라자)부천시 부흥로303번길 8, 402(중동,청원프라자)
4주식회사이오에스사회적기업조명기기 제조(형광등, LED조명, 가로등기구)YN2011-12-19032-670-7714부천시 도약로 261, 부천대우테크노파크D동1102호(도당동)부천시 도약로 261, 부천대우테크노파크D동1102호(도당동)
5희망나눔사회적협동조합사회적기업토탈 돌봄, 산후용품 렌탈(산모, 가사, 보육, 간병 등)YN2013-09-09032-323-9408부천시 장말로 376, 6층(심곡동)부천시 장말로 376, 6층(심곡동)
6(주)지엔그린사회적기업도시농업 도시녹화사업YN2013-12-17032-677-0151부천시 조마루로371번길 60, 201호(춘의동)부천시 조마루로371번길 60, 201호(춘의동)
7㈜조은인테리어사회적기업실내건축공사업 (저소득가정 집수리사업)YN2014-03-13032-205-9600부천시 경인로120번길 85(송내동, 대우아파트상가)부천시 경인로120번길 85(송내동, 대우아파트상가)
8㈜에너지팜사회적기업재생에너지 설치 및 교육YN2015-09-22070-8721-0901부천시 부천로198번길 18, 202동 705호(춘의동, 춘의테크노파크Ⅱ)부천시 부천로198번길 18, 202동 705호(춘의동, 춘의테크노파크Ⅱ)
9㈜오즈하우스사회적기업만화, 영상 등 문화콘텐츠 제작YN2016-11-07032-661-0711부천시 길주로 1, 한국만화영상진흥원 415호(상동)부천시 길주로 1, 한국만화영상진흥원 415호(상동)
기관명유형사업내용인증(지정)여부예비형태인증(지정)일자전화번호소재지주소(도로명)소재지주소(지번)
41주식회사 에어벤트예비사회적기업측정, 시험, 항해, 제어 및 기타정밀기기NY2022-05-01<NA>부천시 장말로 289, 지하1층 창업지원센터 씨-6(심곡동,부천상공회의소)부천시 장말로 289, 지하1층 창업지원센터 씨-6(심곡동,부천상공회의소)
42주식회사 비슷예비사회적기업행사 대행NY2022-10-11<NA>부천시 성무로9번길 27(심곡본동)부천시 성무로9번길 27(심곡본동)
43(주)예술숲예비사회적기업예술, 스포츠 및 여가관련 서비스업(R)NY2021-12-13032-225-2281부천시 부천로198번길 18, 춘의테크노파크II 202동 1006호(춘의동)부천시 부천로198번길 18, 춘의테크노파크II 202동 1006호(춘의동)
44주식회사 컨텐츠다예비사회적기업출판, 영상, 방송통신 및 정보서비스업NY2021-12-30<NA>부천시 부천로198번길 18, 춘의테크노파크II 202동 1308호(춘의동)부천시 부천로198번길 18, 춘의테크노파크II 202동 1308호(춘의동)
45행복한동행발전소 사회적협동조합예비사회적기업교육 서비스업NY2022-10-31032-349-1010부천시 범안로 54(괴안동)부천시 범안로 54(괴안동)
46원미마을관리사회적협동조합예비사회적기업교육 서비스업NY2022-12-01032-652-6363부천시 부천로90번길 51, 3층 301호(원미동)부천시 부천로90번길 51, 3층 301호(원미동)
47㈜비스킷예비사회적기업교육 서비스업NY2022-12-09<NA>부천시 부천로198번길 18, 202동 10층(춘의동,춘의테크노파크2차)부천시 부천로198번길 18, 202동 10층(춘의동,춘의테크노파크2차)
48㈜배리어프리프렌즈예비사회적기업교육 서비스업NY2022-12-09<NA>부천시 경인로60번길 40, 사회적경제센터 2층(송내동)부천시 경인로60번길 40, 사회적경제센터 2층(송내동)
49주식회사디에잇컴퍼니예비사회적기업전문 과학 및 기술 서비스 업NY2022-12-09<NA>부천시 지봉로 43, 가톨릭대학교 성심교정 비에이 104호(역곡동,밤비노관 창업보육센터)부천시 지봉로 43, 가톨릭대학교 성심교정 비에이 104호(역곡동,밤비노관 창업보육센터)
50주식회사 아이와예비사회적기업협회 및 단체, 수리 및 개인 서비스업NY2022-12-31<NA>부천시 경인로60번길 40, 사회적경제센터 2층(송내동)부천시 경인로60번길 40, 사회적경제센터 2층(송내동)