Overview

Dataset statistics

Number of variables12
Number of observations31
Missing cells18
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory101.3 B

Variable types

Numeric1
Text6
Categorical4
DateTime1

Dataset

Description광진구 관내 사회적기업 현황으로써 사회적기업 기관명, 사회서비스 분야, 사업내용, 인증일자, 인증번호, 대표자, 연락처, 주소 등 정보 제공
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15010780/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 형태High correlation
형태 is highly overall correlated with 연번High correlation
전화번호 has 9 (29.0%) missing valuesMissing
홈페이지주소 has 9 (29.0%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique
사업내용 has unique valuesUnique
대표자명 has unique valuesUnique
소재지 도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:44:32.656104
Analysis finished2023-12-12 16:44:34.700278
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T01:44:34.788897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-13T01:44:34.973575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

기관명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T01:44:35.262235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.8064516
Min length4

Characters and Unicode

Total characters304
Distinct characters126
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

Unique31 ?
Unique (%)100.0%

Sample

1st row사회적협동조합 도우누리
2nd row(사)서울팝스오케스트라
3rd row정립전자(장애인근로사업장)
4th row주식회사 복지유니온
5th row㈜하나리더투어
ValueCountFrequency (%)
사회적협동조합 6
 
13.3%
협동조합 5
 
11.1%
주식회사 3
 
6.7%
해오름 1
 
2.2%
광진우리동네자전거포 1
 
2.2%
㈜둥근걸음 1
 
2.2%
㈜라이트라이프 1
 
2.2%
㈜샤이니스 1
 
2.2%
함께누리사회적협동조합 1
 
2.2%
㈜앙크랩 1
 
2.2%
Other values (24) 24
53.3%
2023-12-13T01:44:35.645305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 17
 
5.6%
16
 
5.3%
동 14
 
4.6%
조 13
 
4.3%
합 13
 
4.3%
회 13
 
4.3%
협 13
 
4.3%
㈜ 10
 
3.3%
적 8
 
2.6%
이 8
 
2.6%
Other values (116) 179
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
90.1%
Space Separator 16
 
5.3%
Other Symbol 10
 
3.3%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 17
 
6.2%
동 14
 
5.1%
조 13
 
4.7%
합 13
 
4.7%
회 13
 
4.7%
협 13
 
4.7%
적 8
 
2.9%
이 8
 
2.9%
주 6
 
2.2%
트 5
 
1.8%
Other values (112) 164
59.9%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
93.4%
Common 20
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 17
 
6.0%
동 14
 
4.9%
조 13
 
4.6%
합 13
 
4.6%
회 13
 
4.6%
협 13
 
4.6%
㈜ 10
 
3.5%
적 8
 
2.8%
이 8
 
2.8%
주 6
 
2.1%
Other values (113) 169
59.5%
Common
ValueCountFrequency (%)
16
80.0%
) 2
 
10.0%
( 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
90.1%
ASCII 20
 
6.6%
None 10
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 17
 
6.2%
동 14
 
5.1%
조 13
 
4.7%
합 13
 
4.7%
회 13
 
4.7%
협 13
 
4.7%
적 8
 
2.9%
이 8
 
2.9%
주 6
 
2.2%
트 5
 
1.8%
Other values (112) 164
59.9%
ASCII
ValueCountFrequency (%)
16
80.0%
) 2
 
10.0%
( 2
 
10.0%
None
ValueCountFrequency (%)
㈜ 10
100.0%

분야
Categorical

Distinct11
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
C
6 
P
6 
G
5 
R
4 
Q
2 
Other values (6)
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique4 ?
Unique (%)12.9%

Sample

1st rowQ
2nd rowR
3rd rowC
4th rowG
5th rowR

Common Values

ValueCountFrequency (%)
C 6
19.4%
P 6
19.4%
G 5
16.1%
R 4
12.9%
Q 2
 
6.5%
I 2
 
6.5%
S 2
 
6.5%
N 1
 
3.2%
L 1
 
3.2%
M 1
 
3.2%

Length

2023-12-13T01:44:35.771473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c 6
19.4%
p 6
19.4%
g 5
16.1%
r 4
12.9%
q 2
 
6.5%
i 2
 
6.5%
s 2
 
6.5%
n 1
 
3.2%
l 1
 
3.2%
m 1
 
3.2%

주된목적
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
기타(창의혁신)형
14 
일자리제공형
7 
혼합형
5 
사회서비스제공형
4 
지역사회공헌형
 
1

Length

Max length9
Median length8
Mean length7.1612903
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row일자리제공형
2nd row기타(창의혁신)형
3rd row일자리제공형
4th row기타(창의혁신)형
5th row혼합형

Common Values

ValueCountFrequency (%)
기타(창의혁신)형 14
45.2%
일자리제공형 7
22.6%
혼합형 5
 
16.1%
사회서비스제공형 4
 
12.9%
지역사회공헌형 1
 
3.2%

Length

2023-12-13T01:44:35.891307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:35.997286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타(창의혁신)형 14
45.2%
일자리제공형 7
22.6%
혼합형 5
 
16.1%
사회서비스제공형 4
 
12.9%
지역사회공헌형 1
 
3.2%

사업내용
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T01:44:36.226790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length31
Mean length23.967742
Min length7

Characters and Unicode

Total characters743
Distinct characters212
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row사회서비스공급(가사, 간병)
2nd row오케스트라 공연
3rd rowCCTV, LED조명 모듈사업
4th row소규모복지시설 영양관리지원사업, 식자재 유통, 연하도움식(기능성 실버식 죽)
5th row국내여행, 돌봄여행서비스
ValueCountFrequency (%)
및 15
 
8.4%
교육 6
 
3.4%
등 5
 
2.8%
서비스 5
 
2.8%
판매 4
 
2.2%
운영 4
 
2.2%
사업 4
 
2.2%
플랫폼 3
 
1.7%
통한 3
 
1.7%
지원 2
 
1.1%
Other values (124) 128
71.5%
2023-12-13T01:44:36.618649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
19.9%
, 22
 
3.0%
및 15
 
2.0%
스 15
 
2.0%
비 14
 
1.9%
업 14
 
1.9%
사 13
 
1.7%
서 13
 
1.7%
교 12
 
1.6%
제 11
 
1.5%
Other values (202) 466
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
74.3%
Space Separator 148
 
19.9%
Other Punctuation 24
 
3.2%
Uppercase Letter 12
 
1.6%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
및 15
 
2.7%
스 15
 
2.7%
비 14
 
2.5%
업 14
 
2.5%
사 13
 
2.4%
서 13
 
2.4%
교 12
 
2.2%
제 11
 
2.0%
자 11
 
2.0%
육 11
 
2.0%
Other values (185) 423
76.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
16.7%
T 2
16.7%
V 1
8.3%
L 1
8.3%
E 1
8.3%
D 1
8.3%
I 1
8.3%
P 1
8.3%
R 1
8.3%
F 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
· 1
 
4.2%
/ 1
 
4.2%
Space Separator
ValueCountFrequency (%)
148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
74.3%
Common 179
 
24.1%
Latin 12
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
및 15
 
2.7%
스 15
 
2.7%
비 14
 
2.5%
업 14
 
2.5%
사 13
 
2.4%
서 13
 
2.4%
교 12
 
2.2%
제 11
 
2.0%
자 11
 
2.0%
육 11
 
2.0%
Other values (185) 423
76.6%
Latin
ValueCountFrequency (%)
C 2
16.7%
T 2
16.7%
V 1
8.3%
L 1
8.3%
E 1
8.3%
D 1
8.3%
I 1
8.3%
P 1
8.3%
R 1
8.3%
F 1
8.3%
Common
ValueCountFrequency (%)
148
82.7%
, 22
 
12.3%
) 3
 
1.7%
( 3
 
1.7%
· 1
 
0.6%
- 1
 
0.6%
/ 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
74.3%
ASCII 190
 
25.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
77.9%
, 22
 
11.6%
) 3
 
1.6%
( 3
 
1.6%
C 2
 
1.1%
T 2
 
1.1%
V 1
 
0.5%
L 1
 
0.5%
E 1
 
0.5%
D 1
 
0.5%
Other values (6) 6
 
3.2%
Hangul
ValueCountFrequency (%)
및 15
 
2.7%
스 15
 
2.7%
비 14
 
2.5%
업 14
 
2.5%
사 13
 
2.4%
서 13
 
2.4%
교 12
 
2.2%
제 11
 
2.0%
자 11
 
2.0%
육 11
 
2.0%
Other values (185) 423
76.6%
None
ValueCountFrequency (%)
· 1
100.0%

형태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
인증
17 
예비
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증 17
54.8%
예비 14
45.2%

Length

2023-12-13T01:44:36.763796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:36.864574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 17
54.8%
예비 14
45.2%

인증_지정 일자
Date

Distinct26
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2010-01-21 00:00:00
Maximum2022-12-23 00:00:00
2023-12-13T01:44:36.959671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:44:37.090211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

대표자명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T01:44:37.319038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.3225806
Min length3

Characters and Unicode

Total characters103
Distinct characters60
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

Unique31 ?
Unique (%)100.0%

Sample

1st row민동세
2nd row하성호
3rd row유관섭
4th row장성오
5th row이지혜
ValueCountFrequency (%)
민동세 1
 
3.0%
이미영 1
 
3.0%
어정희 1
 
3.0%
이민아 1
 
3.0%
오택구 1
 
3.0%
김정여 1
 
3.0%
박병훈 1
 
3.0%
유의선 1
 
3.0%
김진선 1
 
3.0%
주미란 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T01:44:37.633861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
6.8%
이 6
 
5.8%
성 5
 
4.9%
영 5
 
4.9%
박 4
 
3.9%
정 4
 
3.9%
선 3
 
2.9%
혜 3
 
2.9%
민 3
 
2.9%
주 2
 
1.9%
Other values (50) 61
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
96.1%
Space Separator 2
 
1.9%
Other Punctuation 2
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
7.1%
이 6
 
6.1%
성 5
 
5.1%
영 5
 
5.1%
박 4
 
4.0%
정 4
 
4.0%
선 3
 
3.0%
혜 3
 
3.0%
민 3
 
3.0%
주 2
 
2.0%
Other values (48) 57
57.6%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
96.1%
Common 4
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
7.1%
이 6
 
6.1%
성 5
 
5.1%
영 5
 
5.1%
박 4
 
4.0%
정 4
 
4.0%
선 3
 
3.0%
혜 3
 
3.0%
민 3
 
3.0%
주 2
 
2.0%
Other values (48) 57
57.6%
Common
ValueCountFrequency (%)
2
50.0%
, 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
96.1%
ASCII 4
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
7.1%
이 6
 
6.1%
성 5
 
5.1%
영 5
 
5.1%
박 4
 
4.0%
정 4
 
4.0%
선 3
 
3.0%
혜 3
 
3.0%
민 3
 
3.0%
주 2
 
2.0%
Other values (48) 57
57.6%
ASCII
ValueCountFrequency (%)
2
50.0%
, 2
50.0%

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Memory size380.0 B
2023-12-13T01:44:37.829025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length11
Mean length12.954545
Min length11

Characters and Unicode

Total characters285
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row02-461-8373
2nd row02-593-8760
3rd row02-446-6867 / 070-7457-8508
4th row02-457-2988 /070-4632-1740
5th row02-1588-1272
ValueCountFrequency (%)
02-593-8760 1
 
4.0%
070-8263-1211 1
 
4.0%
02-458-1003 1
 
4.0%
02-452-3194 1
 
4.0%
070-4527-8400 1
 
4.0%
070-8829-1004 1
 
4.0%
02-458-3210 1
 
4.0%
02-468-9988 1
 
4.0%
02-455-7847 1
 
4.0%
02-501-0365 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T01:44:38.167559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
18.6%
- 48
16.8%
2 33
11.6%
4 27
9.5%
8 22
7.7%
7 20
 
7.0%
1 17
 
6.0%
5 16
 
5.6%
3 16
 
5.6%
6 14
 
4.9%
Other values (3) 19
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
81.1%
Dash Punctuation 48
 
16.8%
Space Separator 4
 
1.4%
Other Punctuation 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
22.9%
2 33
14.3%
4 27
11.7%
8 22
9.5%
7 20
 
8.7%
1 17
 
7.4%
5 16
 
6.9%
3 16
 
6.9%
6 14
 
6.1%
9 13
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 285
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
18.6%
- 48
16.8%
2 33
11.6%
4 27
9.5%
8 22
7.7%
7 20
 
7.0%
1 17
 
6.0%
5 16
 
5.6%
3 16
 
5.6%
6 14
 
4.9%
Other values (3) 19
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
18.6%
- 48
16.8%
2 33
11.6%
4 27
9.5%
8 22
7.7%
7 20
 
7.0%
1 17
 
6.0%
5 16
 
5.6%
3 16
 
5.6%
6 14
 
4.9%
Other values (3) 19
 
6.7%

소재지 도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T01:44:38.415700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length28.387097
Min length15

Characters and Unicode

Total characters880
Distinct characters102
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row서울특별시 긴고랑로 41, 3층 (중곡1동)
2nd row서울특별시 능동로 216(능동)
3rd row서울특별시 워커힐로 93(구의2동)
4th row서울특별시 자양로 247, 2층(구의2동)
5th row서울특별시 광나루로 478 광진경제허브센터 도약관 2층, 201호(구의1동)
ValueCountFrequency (%)
서울특별시 31
21.1%
광나루로 6
 
4.1%
2층 6
 
4.1%
478 6
 
4.1%
도약관 5
 
3.4%
광진경제허브센터 5
 
3.4%
자양로 4
 
2.7%
아차산로30길 3
 
2.0%
36 3
 
2.0%
10 2
 
1.4%
Other values (73) 76
51.7%
2023-12-13T01:44:38.779707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
13.2%
1 35
 
4.0%
2 32
 
3.6%
서 31
 
3.5%
특 31
 
3.5%
별 31
 
3.5%
시 31
 
3.5%
울 31
 
3.5%
로 31
 
3.5%
동 30
 
3.4%
Other values (92) 481
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
57.0%
Decimal Number 181
 
20.6%
Space Separator 116
 
13.2%
Other Punctuation 27
 
3.1%
Close Punctuation 24
 
2.7%
Open Punctuation 24
 
2.7%
Dash Punctuation 5
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 31
 
6.2%
특 31
 
6.2%
별 31
 
6.2%
시 31
 
6.2%
울 31
 
6.2%
로 31
 
6.2%
동 30
 
6.0%
층 18
 
3.6%
호 16
 
3.2%
광 14
 
2.8%
Other values (76) 238
47.4%
Decimal Number
ValueCountFrequency (%)
1 35
19.3%
2 32
17.7%
3 26
14.4%
4 21
11.6%
0 19
10.5%
7 15
8.3%
8 11
 
6.1%
6 9
 
5.0%
5 8
 
4.4%
9 5
 
2.8%
Space Separator
ValueCountFrequency (%)
116
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
57.0%
Common 377
42.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 31
 
6.2%
특 31
 
6.2%
별 31
 
6.2%
시 31
 
6.2%
울 31
 
6.2%
로 31
 
6.2%
동 30
 
6.0%
층 18
 
3.6%
호 16
 
3.2%
광 14
 
2.8%
Other values (76) 238
47.4%
Common
ValueCountFrequency (%)
116
30.8%
1 35
 
9.3%
2 32
 
8.5%
, 27
 
7.2%
3 26
 
6.9%
) 24
 
6.4%
( 24
 
6.4%
4 21
 
5.6%
0 19
 
5.0%
7 15
 
4.0%
Other values (5) 38
 
10.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
57.0%
ASCII 378
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
30.7%
1 35
 
9.3%
2 32
 
8.5%
, 27
 
7.1%
3 26
 
6.9%
) 24
 
6.3%
( 24
 
6.3%
4 21
 
5.6%
0 19
 
5.0%
7 15
 
4.0%
Other values (6) 39
 
10.3%
Hangul
ValueCountFrequency (%)
서 31
 
6.2%
특 31
 
6.2%
별 31
 
6.2%
시 31
 
6.2%
울 31
 
6.2%
로 31
 
6.2%
동 30
 
6.0%
층 18
 
3.6%
호 16
 
3.2%
광 14
 
2.8%
Other values (76) 238
47.4%

홈페이지주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Memory size380.0 B
2023-12-13T01:44:38.987420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length23.954545
Min length15

Characters and Unicode

Total characters527
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowhttp://www.gjcare.net
2nd rowhttp://www.seoulpops.com
3rd rowhttp://www.junglip.or.kr
4th rowhttp://www.well-union.or.kr
5th rowhttp://hanaleadertour.or.kr
ValueCountFrequency (%)
https://cobaltcoop.modoo.at 1
 
4.5%
http://www.junglip.or.kr 1
 
4.5%
http://moasocialcoop.com 1
 
4.5%
https://h-welfare.com 1
 
4.5%
https://taeilwoodwork.modoo.at 1
 
4.5%
https://haeorumedu.modoo.at 1
 
4.5%
http://www.hamkenuri.com 1
 
4.5%
www.shininess.co.kr 1
 
4.5%
https://lightlife.modoo.at 1
 
4.5%
http://www.millcompany.co.kr 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T01:44:39.338723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 54
 
10.2%
o 50
 
9.5%
. 46
 
8.7%
w 43
 
8.2%
/ 43
 
8.2%
p 28
 
5.3%
h 27
 
5.1%
e 22
 
4.2%
a 21
 
4.0%
r 20
 
3.8%
Other values (19) 173
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 415
78.7%
Other Punctuation 108
 
20.5%
Dash Punctuation 2
 
0.4%
Decimal Number 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 54
13.0%
o 50
12.0%
w 43
 
10.4%
p 28
 
6.7%
h 27
 
6.5%
e 22
 
5.3%
a 21
 
5.1%
r 20
 
4.8%
l 20
 
4.8%
c 18
 
4.3%
Other values (13) 112
27.0%
Other Punctuation
ValueCountFrequency (%)
. 46
42.6%
/ 43
39.8%
: 19
17.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 415
78.7%
Common 112
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 54
13.0%
o 50
12.0%
w 43
 
10.4%
p 28
 
6.7%
h 27
 
6.5%
e 22
 
5.3%
a 21
 
5.1%
r 20
 
4.8%
l 20
 
4.8%
c 18
 
4.3%
Other values (13) 112
27.0%
Common
ValueCountFrequency (%)
. 46
41.1%
/ 43
38.4%
: 19
17.0%
- 2
 
1.8%
4 1
 
0.9%
1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 54
 
10.2%
o 50
 
9.5%
. 46
 
8.7%
w 43
 
8.2%
/ 43
 
8.2%
p 28
 
5.3%
h 27
 
5.1%
e 22
 
4.2%
a 21
 
4.0%
r 20
 
3.8%
Other values (19) 173
32.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-02-06
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-06
2nd row2023-02-06
3rd row2023-02-06
4th row2023-02-06
5th row2023-02-06

Common Values

ValueCountFrequency (%)
2023-02-06 31
100.0%

Length

2023-12-13T01:44:39.472072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:39.576541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-06 31
100.0%

Interactions

2023-12-13T01:44:33.424639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:44:39.639688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명분야주된목적사업내용형태인증_지정 일자대표자명전화번호소재지 도로명주소홈페이지주소
연번1.0001.0000.0000.6131.0000.9950.8971.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
분야0.0001.0001.0000.0001.0000.0000.0001.0001.0001.0001.000
주된목적0.6131.0000.0001.0001.0000.1950.7661.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
형태0.9951.0000.0000.1951.0001.0001.0001.0001.0001.0001.000
인증_지정 일자0.8971.0000.0000.7661.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지 도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T01:44:39.765554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된목적형태분야
주된목적1.0000.2160.000
형태0.2161.0000.000
분야0.0000.0001.000
2023-12-13T01:44:39.844857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분야주된목적형태
연번1.0000.0000.2460.796
분야0.0001.0000.0000.000
주된목적0.2460.0001.0000.216
형태0.7960.0000.2161.000

Missing values

2023-12-13T01:44:33.714627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:44:34.484732image/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.
2023-12-13T01:44:34.622476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번기관명분야주된목적사업내용형태인증_지정 일자대표자명전화번호소재지 도로명주소홈페이지주소데이터기준일자
01사회적협동조합 도우누리Q일자리제공형사회서비스공급(가사, 간병)인증2010-01-21민동세02-461-8373서울특별시 긴고랑로 41, 3층 (중곡1동)http://www.gjcare.net2023-02-06
12(사)서울팝스오케스트라R기타(창의혁신)형오케스트라 공연인증2010-05-26하성호02-593-8760서울특별시 능동로 216(능동)http://www.seoulpops.com2023-02-06
23정립전자(장애인근로사업장)C일자리제공형CCTV, LED조명 모듈사업인증2011-07-21유관섭02-446-6867 / 070-7457-8508서울특별시 워커힐로 93(구의2동)http://www.junglip.or.kr2023-02-06
34주식회사 복지유니온G기타(창의혁신)형소규모복지시설 영양관리지원사업, 식자재 유통, 연하도움식(기능성 실버식 죽)인증2013-12-17장성오02-457-2988 /070-4632-1740서울특별시 자양로 247, 2층(구의2동)http://www.well-union.or.kr2023-02-06
45㈜하나리더투어R혼합형국내여행, 돌봄여행서비스인증2016-02-29이지혜02-1588-1272서울특별시 광나루로 478 광진경제허브센터 도약관 2층, 201호(구의1동)http://hanaleadertour.or.kr2023-02-06
56㈜더블루피엠씨N일자리제공형건물관리 및 통신서비스 지원인증2016-05-19김철두02-2256-8000서울특별시 아차산로 345 214호(자양동, 래미안프리미어팰리스)www.thebluepmc.com2023-02-06
67㈜화유플라워앤원예치료센터G혼합형원예치료프로그램 운영 및 플로리스트 교육, 생화 판매인증2016-05-19이현주02-1599-3190서울특별시 천호대로143길 8-5(광장동)http://www.hwayouflower.com2023-02-06
78사회적협동조합 광진사회적경제네트워크P기타(창의혁신)형사회적경제 민간네트워크 구성 및 운영인증2019-05-10박용수02-461-9390서울특별시 광나루로 478 광진경제허브센터 도약관 101호(구의1동)www.gwang4.net2023-02-06
89늘푸른되살림 협동조합C지역사회공헌형재활용품 판매, 홈패션 교육인증2019-07-05강영심02-453-8373서울특별시 동일로332 인티모빌딩2층(중곡1동)<NA>2023-02-06
910주식회사 바이런시스템G일자리제공형청소용품,발전자재 및 기념판촉물, 사무용품 등 판매인증2019-11-07김형석, 김순덕, 송기정070-4200-9301서울특별시 아차산로78길 72, 5층 601호(광장동, 학산코스모스텔)http://buyrun.kr/2023-02-06
연번기관명분야주된목적사업내용형태인증_지정 일자대표자명전화번호소재지 도로명주소홈페이지주소데이터기준일자
2122함께누리사회적협동조합R혼합형지역주민 및 취야계층을 위한 문화 예술 서비스 및 교육 시행예비2021-11-08신혜정070-8829-1004서울특별시 자양로 282-1http://www.hamkenuri.com/2023-02-06
2223해오름 사회적협동조합P혼합형교육서비스 (방과후교실)예비2022-05-06주미란070-4527-8400서울특별시 광나루로 478 광진경제허브센터 도약관 2층, 207호(구의1동)https://haeorumedu.modoo.at2023-02-06
2324㈜앙크랩C기타(창의혁신)형친환경 소재 상품, 자연순환 패션예비2021-10-22김진선<NA>서울특별시 능동로351, 성학빌딩 4층<NA>2023-02-06
2425태일공방 사회적협동조합S혼합형목공을 통한 지역공동체 회복 등예비2022-09-30유의선<NA>서울특별시 영화사로 59(중곡2동) 지하 1층https://taeilwoodwork.modoo.at2023-02-06
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