Overview

Dataset statistics

Number of variables12
Number of observations697
Missing cells616
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.5 KiB
Average record size in memory96.2 B

Variable types

Text8
Categorical2
Boolean1
DateTime1

Alerts

인증일자 has 85 (12.2%) missing valuesMissing
인증번호정보 has 61 (8.8%) missing valuesMissing
기관전화번호 has 63 (9.0%) missing valuesMissing
홈페이지주소 has 399 (57.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:28:41.808270
Analysis finished2023-12-10 21:28:43.204386
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

Distinct695
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-11T06:28:43.343072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length9.2080344
Min length2

Characters and Unicode

Total characters6418
Distinct characters509
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

Unique693 ?
Unique (%)99.4%

Sample

1st row청평문화예술학교
2nd row㈜채움숲
3rd row사회적협동조합 공감21
4th row㈜한수코퍼레이션
5th row㈜함께어울림
ValueCountFrequency (%)
주식회사 98
 
10.3%
사회적협동조합 30
 
3.1%
농업회사법인 16
 
1.7%
협동조합 11
 
1.2%
사단법인 11
 
1.2%
㈜ 10
 
1.0%
사회복지법인 8
 
0.8%
주 3
 
0.3%
농업회사법인㈜ 3
 
0.3%
세상 2
 
0.2%
Other values (752) 762
79.9%
2023-12-11T06:28:43.632701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 369
 
5.7%
회 312
 
4.9%
주 280
 
4.4%
257
 
4.0%
㈜ 226
 
3.5%
식 173
 
2.7%
) 142
 
2.2%
협 141
 
2.2%
동 141
 
2.2%
( 139
 
2.2%
Other values (499) 4238
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5553
86.5%
Space Separator 257
 
4.0%
Other Symbol 226
 
3.5%
Close Punctuation 142
 
2.2%
Open Punctuation 139
 
2.2%
Lowercase Letter 38
 
0.6%
Uppercase Letter 37
 
0.6%
Other Punctuation 14
 
0.2%
Decimal Number 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 369
 
6.6%
회 312
 
5.6%
주 280
 
5.0%
식 173
 
3.1%
협 141
 
2.5%
동 141
 
2.5%
합 134
 
2.4%
조 130
 
2.3%
인 101
 
1.8%
스 97
 
1.7%
Other values (452) 3675
66.2%
Uppercase Letter
ValueCountFrequency (%)
O 5
13.5%
C 5
13.5%
L 4
10.8%
G 3
8.1%
T 3
8.1%
E 3
8.1%
I 2
 
5.4%
B 2
 
5.4%
A 2
 
5.4%
S 1
 
2.7%
Other values (7) 7
18.9%
Lowercase Letter
ValueCountFrequency (%)
o 7
18.4%
e 6
15.8%
d 5
13.2%
p 3
7.9%
l 3
7.9%
t 2
 
5.3%
r 2
 
5.3%
a 2
 
5.3%
f 1
 
2.6%
h 1
 
2.6%
Other values (6) 6
15.8%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
9 3
25.0%
4 1
 
8.3%
7 1
 
8.3%
5 1
 
8.3%
8 1
 
8.3%
2 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 7
50.0%
. 5
35.7%
& 2
 
14.3%
Space Separator
ValueCountFrequency (%)
257
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5779
90.0%
Common 564
 
8.8%
Latin 75
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 369
 
6.4%
회 312
 
5.4%
주 280
 
4.8%
㈜ 226
 
3.9%
식 173
 
3.0%
협 141
 
2.4%
동 141
 
2.4%
합 134
 
2.3%
조 130
 
2.2%
인 101
 
1.7%
Other values (453) 3772
65.3%
Latin
ValueCountFrequency (%)
o 7
 
9.3%
e 6
 
8.0%
O 5
 
6.7%
d 5
 
6.7%
C 5
 
6.7%
L 4
 
5.3%
G 3
 
4.0%
T 3
 
4.0%
p 3
 
4.0%
E 3
 
4.0%
Other values (23) 31
41.3%
Common
ValueCountFrequency (%)
257
45.6%
) 142
25.2%
( 139
24.6%
, 7
 
1.2%
. 5
 
0.9%
1 4
 
0.7%
9 3
 
0.5%
& 2
 
0.4%
4 1
 
0.2%
7 1
 
0.2%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5553
86.5%
ASCII 639
 
10.0%
None 226
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 369
 
6.6%
회 312
 
5.6%
주 280
 
5.0%
식 173
 
3.1%
협 141
 
2.5%
동 141
 
2.5%
합 134
 
2.4%
조 130
 
2.3%
인 101
 
1.8%
스 97
 
1.7%
Other values (452) 3675
66.2%
ASCII
ValueCountFrequency (%)
257
40.2%
) 142
22.2%
( 139
21.8%
o 7
 
1.1%
, 7
 
1.1%
e 6
 
0.9%
O 5
 
0.8%
d 5
 
0.8%
. 5
 
0.8%
C 5
 
0.8%
Other values (36) 61
 
9.5%
None
ValueCountFrequency (%)
㈜ 226
100.0%

서비스분야명
Categorical

Distinct10
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
기타
432 
청소
66 
환경
57 
예술·관광
44 
간병및가사지원
 
41
Other values (5)
57 

Length

Max length7
Median length2
Mean length2.6958393
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 432
62.0%
청소 66
 
9.5%
환경 57
 
8.2%
예술·관광 44
 
6.3%
간병및가사지원 41
 
5.9%
고용서비스 26
 
3.7%
사업시설관리 15
 
2.2%
보육 9
 
1.3%
운동 5
 
0.7%
산림보전및관리 2
 
0.3%

Length

2023-12-11T06:28:43.740745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:28:43.836036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 432
62.0%
청소 66
 
9.5%
환경 57
 
8.2%
예술·관광 44
 
6.3%
간병및가사지원 41
 
5.9%
고용서비스 26
 
3.7%
사업시설관리 15
 
2.2%
보육 9
 
1.3%
운동 5
 
0.7%
산림보전및관리 2
 
0.3%

주요목적
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
일자리제공형
460 
기타형
95 
사회서비스제공형
70 
혼합형
 
42
지역사회공헌형
 
30

Length

Max length8
Median length6
Mean length5.6542324
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회서비스제공형
2nd row일자리제공형
3rd row일자리제공형
4th row지역사회공헌형
5th row일자리제공형

Common Values

ValueCountFrequency (%)
일자리제공형 460
66.0%
기타형 95
 
13.6%
사회서비스제공형 70
 
10.0%
혼합형 42
 
6.0%
지역사회공헌형 30
 
4.3%

Length

2023-12-11T06:28:43.941195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:28:44.026766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 460
66.0%
기타형 95
 
13.6%
사회서비스제공형 70
 
10.0%
혼합형 42
 
6.0%
지역사회공헌형 30
 
4.3%

사업내용
Text

Distinct661
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-11T06:28:44.239169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length47
Mean length15.958393
Min length2

Characters and Unicode

Total characters11123
Distinct characters476
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique641 ?
Unique (%)92.0%

Sample

1st row문화예술교육 및 공연
2nd row숲 체험 교육
3rd row농촌민박용품 공동구매 및 판매
4th row잉여농산물을 활용한 이너뷰티 브랜드 구축
5th row흰목이버섯 재배 및 판매
ValueCountFrequency (%)
및 208
 
8.4%
제조 71
 
2.9%
판매 66
 
2.7%
등 56
 
2.3%
제작 33
 
1.3%
교육 32
 
1.3%
청소 28
 
1.1%
운영 27
 
1.1%
생활폐기물 22
 
0.9%
유통 22
 
0.9%
Other values (1280) 1911
77.2%
2023-12-11T06:28:44.594039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1810
 
16.3%
, 540
 
4.9%
업 227
 
2.0%
및 224
 
2.0%
제 220
 
2.0%
기 184
 
1.7%
소 179
 
1.6%
조 157
 
1.4%
사 151
 
1.4%
매 145
 
1.3%
Other values (466) 7286
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8433
75.8%
Space Separator 1810
 
16.3%
Other Punctuation 640
 
5.8%
Uppercase Letter 82
 
0.7%
Open Punctuation 66
 
0.6%
Close Punctuation 66
 
0.6%
Lowercase Letter 25
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 227
 
2.7%
및 224
 
2.7%
제 220
 
2.6%
기 184
 
2.2%
소 179
 
2.1%
조 157
 
1.9%
사 151
 
1.8%
매 145
 
1.7%
판 141
 
1.7%
용 136
 
1.6%
Other values (430) 6669
79.1%
Uppercase Letter
ValueCountFrequency (%)
C 17
20.7%
T 12
14.6%
V 11
13.4%
D 10
12.2%
L 9
11.0%
E 9
11.0%
I 4
 
4.9%
R 2
 
2.4%
S 2
 
2.4%
B 1
 
1.2%
Other values (5) 5
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
24.0%
c 4
16.0%
l 3
12.0%
d 3
12.0%
r 2
 
8.0%
v 2
 
8.0%
a 1
 
4.0%
n 1
 
4.0%
g 1
 
4.0%
p 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 540
84.4%
/ 65
 
10.2%
· 16
 
2.5%
. 15
 
2.3%
? 3
 
0.5%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1810
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8433
75.8%
Common 2583
 
23.2%
Latin 107
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 227
 
2.7%
및 224
 
2.7%
제 220
 
2.6%
기 184
 
2.2%
소 179
 
2.1%
조 157
 
1.9%
사 151
 
1.8%
매 145
 
1.7%
판 141
 
1.7%
용 136
 
1.6%
Other values (430) 6669
79.1%
Latin
ValueCountFrequency (%)
C 17
15.9%
T 12
11.2%
V 11
10.3%
D 10
9.3%
L 9
8.4%
E 9
8.4%
e 6
 
5.6%
I 4
 
3.7%
c 4
 
3.7%
l 3
 
2.8%
Other values (16) 22
20.6%
Common
ValueCountFrequency (%)
1810
70.1%
, 540
 
20.9%
( 66
 
2.6%
) 66
 
2.6%
/ 65
 
2.5%
· 16
 
0.6%
. 15
 
0.6%
? 3
 
0.1%
3 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8433
75.8%
ASCII 2674
 
24.0%
None 16
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1810
67.7%
, 540
 
20.2%
( 66
 
2.5%
) 66
 
2.5%
/ 65
 
2.4%
C 17
 
0.6%
. 15
 
0.6%
T 12
 
0.4%
V 11
 
0.4%
D 10
 
0.4%
Other values (25) 62
 
2.3%
Hangul
ValueCountFrequency (%)
업 227
 
2.7%
및 224
 
2.7%
제 220
 
2.6%
기 184
 
2.2%
소 179
 
2.1%
조 157
 
1.9%
사 151
 
1.8%
매 145
 
1.7%
판 141
 
1.7%
용 136
 
1.6%
Other values (430) 6669
79.1%
None
ValueCountFrequency (%)
· 16
100.0%

인증여부
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size829.0 B
True
515 
False
182 
ValueCountFrequency (%)
True 515
73.9%
False 182
 
26.1%
2023-12-11T06:28:44.698370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증일자
Date

MISSING 

Distinct156
Distinct (%)25.5%
Missing85
Missing (%)12.2%
Memory size5.6 KiB
Minimum2007-10-29 00:00:00
Maximum2023-06-15 00:00:00
2023-12-11T06:28:44.806931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:28:44.950248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증번호정보
Text

MISSING 

Distinct622
Distinct (%)97.8%
Missing61
Missing (%)8.8%
Memory size5.6 KiB
2023-12-11T06:28:45.153274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length10.383648
Min length6

Characters and Unicode

Total characters6604
Distinct characters52
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

Unique609 ?
Unique (%)95.8%

Sample

1st row제2011-093호
2nd row제2021-340호
3rd row제2021-154호
4th row경기 제196호
5th row제2022-009호
ValueCountFrequency (%)
경기 79
 
10.7%
경기도 6
 
0.8%
고용노동부 6
 
0.8%
제2022-009호 3
 
0.4%
산림청 3
 
0.4%
제2022-019호 2
 
0.3%
제2018-088호 2
 
0.3%
제2018-086호 2
 
0.3%
제2015-060호 2
 
0.3%
제2017-026호 2
 
0.3%
Other values (616) 633
85.5%
2023-12-11T06:28:45.484757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1194
18.1%
2 1156
17.5%
1 810
12.3%
- 632
9.6%
제 596
9.0%
호 595
9.0%
3 201
 
3.0%
7 195
 
3.0%
8 182
 
2.8%
5 176
 
2.7%
Other values (42) 867
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4394
66.5%
Other Letter 1474
 
22.3%
Dash Punctuation 632
 
9.6%
Space Separator 104
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 596
40.4%
호 595
40.4%
기 92
 
6.2%
경 91
 
6.2%
형 8
 
0.5%
부 8
 
0.5%
동 6
 
0.4%
도 6
 
0.4%
노 6
 
0.4%
용 6
 
0.4%
Other values (30) 60
 
4.1%
Decimal Number
ValueCountFrequency (%)
0 1194
27.2%
2 1156
26.3%
1 810
18.4%
3 201
 
4.6%
7 195
 
4.4%
8 182
 
4.1%
5 176
 
4.0%
6 171
 
3.9%
4 164
 
3.7%
9 145
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 632
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5130
77.7%
Hangul 1474
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 596
40.4%
호 595
40.4%
기 92
 
6.2%
경 91
 
6.2%
형 8
 
0.5%
부 8
 
0.5%
동 6
 
0.4%
도 6
 
0.4%
노 6
 
0.4%
용 6
 
0.4%
Other values (30) 60
 
4.1%
Common
ValueCountFrequency (%)
0 1194
23.3%
2 1156
22.5%
1 810
15.8%
- 632
12.3%
3 201
 
3.9%
7 195
 
3.8%
8 182
 
3.5%
5 176
 
3.4%
6 171
 
3.3%
4 164
 
3.2%
Other values (2) 249
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5130
77.7%
Hangul 1474
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1194
23.3%
2 1156
22.5%
1 810
15.8%
- 632
12.3%
3 201
 
3.9%
7 195
 
3.8%
8 182
 
3.5%
5 176
 
3.4%
6 171
 
3.3%
4 164
 
3.2%
Other values (2) 249
 
4.9%
Hangul
ValueCountFrequency (%)
제 596
40.4%
호 595
40.4%
기 92
 
6.2%
경 91
 
6.2%
형 8
 
0.5%
부 8
 
0.5%
동 6
 
0.4%
도 6
 
0.4%
노 6
 
0.4%
용 6
 
0.4%
Other values (30) 60
 
4.1%

대표자명
Text

Distinct674
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-11T06:28:45.750849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.2065997
Min length2

Characters and Unicode

Total characters2235
Distinct characters204
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique652 ?
Unique (%)93.5%

Sample

1st row진수영
2nd row최경호
3rd row채성수
4th row이세진
5th row이지행
ValueCountFrequency (%)
김경숙 3
 
0.4%
이상호 2
 
0.3%
김oo 2
 
0.3%
이oo 2
 
0.3%
김미선 2
 
0.3%
윤준 2
 
0.3%
이영주 2
 
0.3%
김지은 2
 
0.3%
김영대 2
 
0.3%
이정희 2
 
0.3%
Other values (681) 696
97.1%
2023-12-11T06:28:46.140983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 152
 
6.8%
이 126
 
5.6%
정 72
 
3.2%
박 66
 
3.0%
영 65
 
2.9%
경 48
 
2.1%
희 46
 
2.1%
현 40
 
1.8%
진 40
 
1.8%
수 38
 
1.7%
Other values (194) 1542
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2135
95.5%
Uppercase Letter 53
 
2.4%
Other Punctuation 27
 
1.2%
Space Separator 20
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 152
 
7.1%
이 126
 
5.9%
정 72
 
3.4%
박 66
 
3.1%
영 65
 
3.0%
경 48
 
2.2%
희 46
 
2.2%
현 40
 
1.9%
진 40
 
1.9%
수 38
 
1.8%
Other values (180) 1442
67.5%
Uppercase Letter
ValueCountFrequency (%)
O 30
56.6%
N 5
 
9.4%
U 4
 
7.5%
H 4
 
7.5%
A 3
 
5.7%
S 2
 
3.8%
G 1
 
1.9%
I 1
 
1.9%
Y 1
 
1.9%
Q 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 24
88.9%
/ 3
 
11.1%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2135
95.5%
Latin 53
 
2.4%
Common 47
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 152
 
7.1%
이 126
 
5.9%
정 72
 
3.4%
박 66
 
3.1%
영 65
 
3.0%
경 48
 
2.2%
희 46
 
2.2%
현 40
 
1.9%
진 40
 
1.9%
수 38
 
1.8%
Other values (180) 1442
67.5%
Latin
ValueCountFrequency (%)
O 30
56.6%
N 5
 
9.4%
U 4
 
7.5%
H 4
 
7.5%
A 3
 
5.7%
S 2
 
3.8%
G 1
 
1.9%
I 1
 
1.9%
Y 1
 
1.9%
Q 1
 
1.9%
Common
ValueCountFrequency (%)
, 24
51.1%
20
42.6%
/ 3
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2135
95.5%
ASCII 100
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 152
 
7.1%
이 126
 
5.9%
정 72
 
3.4%
박 66
 
3.1%
영 65
 
3.0%
경 48
 
2.2%
희 46
 
2.2%
현 40
 
1.9%
진 40
 
1.9%
수 38
 
1.8%
Other values (180) 1442
67.5%
ASCII
ValueCountFrequency (%)
O 30
30.0%
, 24
24.0%
20
20.0%
N 5
 
5.0%
U 4
 
4.0%
H 4
 
4.0%
/ 3
 
3.0%
A 3
 
3.0%
S 2
 
2.0%
G 1
 
1.0%
Other values (4) 4
 
4.0%

기관전화번호
Text

MISSING 

Distinct626
Distinct (%)98.7%
Missing63
Missing (%)9.0%
Memory size5.6 KiB
2023-12-11T06:28:46.502711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.067823
Min length9

Characters and Unicode

Total characters7651
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

Unique622 ?
Unique (%)98.1%

Sample

1st row031-584-8980
2nd row070-8725-9014
3rd row031-585-8597
4th row031-907-7726
5th row031-909-8500
ValueCountFrequency (%)
000-0000-0000 6
 
0.9%
031-440-9310 2
 
0.3%
031-203-0460 2
 
0.3%
070-4866-3218 2
 
0.3%
031-689-3100 1
 
0.2%
031-584-8980 1
 
0.2%
031-443-1591 1
 
0.2%
031-347-1578 1
 
0.2%
031-471-1130 1
 
0.2%
031-397-8540 1
 
0.2%
Other values (616) 616
97.2%
2023-12-11T06:28:46.855796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1256
16.4%
0 1204
15.7%
3 988
12.9%
1 949
12.4%
7 561
7.3%
2 475
 
6.2%
5 466
 
6.1%
4 462
 
6.0%
8 447
 
5.8%
9 442
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6395
83.6%
Dash Punctuation 1256
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1204
18.8%
3 988
15.4%
1 949
14.8%
7 561
8.8%
2 475
 
7.4%
5 466
 
7.3%
4 462
 
7.2%
8 447
 
7.0%
9 442
 
6.9%
6 401
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 1256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7651
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1256
16.4%
0 1204
15.7%
3 988
12.9%
1 949
12.4%
7 561
7.3%
2 475
 
6.2%
5 466
 
6.1%
4 462
 
6.0%
8 447
 
5.8%
9 442
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7651
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1256
16.4%
0 1204
15.7%
3 988
12.9%
1 949
12.4%
7 561
7.3%
2 475
 
6.2%
5 466
 
6.1%
4 462
 
6.0%
8 447
 
5.8%
9 442
 
5.8%

정제도로명주소
Text

Distinct680
Distinct (%)98.0%
Missing3
Missing (%)0.4%
Memory size5.6 KiB
2023-12-11T06:28:47.298131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length27.404899
Min length13

Characters and Unicode

Total characters19019
Distinct characters406
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique668 ?
Unique (%)96.3%

Sample

1st row경기도 가평군 가평읍 문화로 131
2nd row경기도 가평군 청평면 북한강로2246번길 8-109
3rd row경기도 가평군 청평면 버들숲로8번길 34-78
4th row경기도 가평군 설악면 한서로 119-72 1층
5th row경기도 가평군 설악면 신천중앙로 120번길 2층
ValueCountFrequency (%)
경기도 695
 
17.7%
안산시 60
 
1.5%
성남시 60
 
1.5%
수원시 55
 
1.4%
고양시 53
 
1.4%
화성시 53
 
1.4%
부천시 50
 
1.3%
김포시 40
 
1.0%
시흥시 37
 
0.9%
용인시 32
 
0.8%
Other values (1649) 2785
71.0%
2023-12-11T06:28:48.297390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3235
 
17.0%
1 767
 
4.0%
시 751
 
3.9%
경 738
 
3.9%
기 736
 
3.9%
도 718
 
3.8%
로 623
 
3.3%
2 568
 
3.0%
동 420
 
2.2%
0 406
 
2.1%
Other values (396) 10057
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10940
57.5%
Decimal Number 3598
 
18.9%
Space Separator 3235
 
17.0%
Other Punctuation 406
 
2.1%
Close Punctuation 293
 
1.5%
Open Punctuation 293
 
1.5%
Dash Punctuation 194
 
1.0%
Uppercase Letter 51
 
0.3%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 751
 
6.9%
경 738
 
6.7%
기 736
 
6.7%
도 718
 
6.6%
로 623
 
5.7%
동 420
 
3.8%
길 330
 
3.0%
구 319
 
2.9%
번 253
 
2.3%
호 240
 
2.2%
Other values (357) 5812
53.1%
Uppercase Letter
ValueCountFrequency (%)
B 15
29.4%
A 6
 
11.8%
I 4
 
7.8%
R 4
 
7.8%
D 3
 
5.9%
T 3
 
5.9%
O 3
 
5.9%
W 3
 
5.9%
E 3
 
5.9%
U 2
 
3.9%
Other values (5) 5
 
9.8%
Decimal Number
ValueCountFrequency (%)
1 767
21.3%
2 568
15.8%
0 406
11.3%
3 398
11.1%
5 309
8.6%
4 293
 
8.1%
6 243
 
6.8%
7 220
 
6.1%
8 203
 
5.6%
9 191
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 397
97.8%
. 6
 
1.5%
& 2
 
0.5%
/ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
n 1
25.0%
k 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
3235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10940
57.5%
Common 8022
42.2%
Latin 57
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 751
 
6.9%
경 738
 
6.7%
기 736
 
6.7%
도 718
 
6.6%
로 623
 
5.7%
동 420
 
3.8%
길 330
 
3.0%
구 319
 
2.9%
번 253
 
2.3%
호 240
 
2.2%
Other values (357) 5812
53.1%
Latin
ValueCountFrequency (%)
B 15
26.3%
A 6
 
10.5%
I 4
 
7.0%
R 4
 
7.0%
D 3
 
5.3%
T 3
 
5.3%
O 3
 
5.3%
W 3
 
5.3%
E 3
 
5.3%
Ⅱ 2
 
3.5%
Other values (10) 11
19.3%
Common
ValueCountFrequency (%)
3235
40.3%
1 767
 
9.6%
2 568
 
7.1%
0 406
 
5.1%
3 398
 
5.0%
, 397
 
4.9%
5 309
 
3.9%
4 293
 
3.7%
) 293
 
3.7%
( 293
 
3.7%
Other values (9) 1063
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10940
57.5%
ASCII 8077
42.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3235
40.1%
1 767
 
9.5%
2 568
 
7.0%
0 406
 
5.0%
3 398
 
4.9%
, 397
 
4.9%
5 309
 
3.8%
4 293
 
3.6%
) 293
 
3.6%
( 293
 
3.6%
Other values (28) 1118
 
13.8%
Hangul
ValueCountFrequency (%)
시 751
 
6.9%
경 738
 
6.7%
기 736
 
6.7%
도 718
 
6.6%
로 623
 
5.7%
동 420
 
3.8%
길 330
 
3.0%
구 319
 
2.9%
번 253
 
2.3%
호 240
 
2.2%
Other values (357) 5812
53.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

정제지번주소
Text

Distinct683
Distinct (%)98.7%
Missing5
Missing (%)0.7%
Memory size5.6 KiB
2023-12-11T06:28:48.572060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length24.868497
Min length14

Characters and Unicode

Total characters17209
Distinct characters371
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique674 ?
Unique (%)97.4%

Sample

1st row경기도 가평군 가평읍 대곡리 337
2nd row경기도 가평군 청평면 삼회리 26-1번지
3rd row경기도 가평군 청평면 하천리 107-1
4th row경기도 가평군 설악면 창의리 53-5
5th row경기도 가평군 설악면 창의리 373
ValueCountFrequency (%)
경기도 692
 
18.5%
안산시 60
 
1.6%
성남시 60
 
1.6%
수원시 55
 
1.5%
고양시 53
 
1.4%
부천시 50
 
1.3%
화성시 49
 
1.3%
김포시 43
 
1.1%
시흥시 37
 
1.0%
1층 37
 
1.0%
Other values (1444) 2614
69.7%
2023-12-11T06:28:48.990593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3060
 
17.8%
1 742
 
4.3%
시 725
 
4.2%
기 718
 
4.2%
도 711
 
4.1%
경 706
 
4.1%
동 639
 
3.7%
2 535
 
3.1%
- 532
 
3.1%
3 380
 
2.2%
Other values (361) 8461
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9800
56.9%
Decimal Number 3607
 
21.0%
Space Separator 3060
 
17.8%
Dash Punctuation 532
 
3.1%
Other Punctuation 107
 
0.6%
Uppercase Letter 59
 
0.3%
Close Punctuation 16
 
0.1%
Open Punctuation 13
 
0.1%
Lowercase Letter 10
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 725
 
7.4%
기 718
 
7.3%
도 711
 
7.3%
경 706
 
7.2%
동 639
 
6.5%
지 365
 
3.7%
번 325
 
3.3%
구 310
 
3.2%
호 212
 
2.2%
양 190
 
1.9%
Other values (320) 4899
50.0%
Uppercase Letter
ValueCountFrequency (%)
B 15
25.4%
I 11
18.6%
A 5
 
8.5%
R 4
 
6.8%
W 3
 
5.1%
O 3
 
5.1%
U 3
 
5.1%
E 3
 
5.1%
D 3
 
5.1%
T 3
 
5.1%
Other values (5) 6
 
10.2%
Decimal Number
ValueCountFrequency (%)
1 742
20.6%
2 535
14.8%
3 380
10.5%
0 369
10.2%
4 322
8.9%
5 311
8.6%
6 272
 
7.5%
7 251
 
7.0%
8 239
 
6.6%
9 186
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
n 2
20.0%
k 1
 
10.0%
s 1
 
10.0%
r 1
 
10.0%
t 1
 
10.0%
c 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 104
97.2%
& 2
 
1.9%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
3060
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 532
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9800
56.9%
Common 7338
42.6%
Latin 71
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 725
 
7.4%
기 718
 
7.3%
도 711
 
7.3%
경 706
 
7.2%
동 639
 
6.5%
지 365
 
3.7%
번 325
 
3.3%
구 310
 
3.2%
호 212
 
2.2%
양 190
 
1.9%
Other values (320) 4899
50.0%
Latin
ValueCountFrequency (%)
B 15
21.1%
I 11
15.5%
A 5
 
7.0%
R 4
 
5.6%
W 3
 
4.2%
O 3
 
4.2%
e 3
 
4.2%
U 3
 
4.2%
E 3
 
4.2%
D 3
 
4.2%
Other values (13) 18
25.4%
Common
ValueCountFrequency (%)
3060
41.7%
1 742
 
10.1%
2 535
 
7.3%
- 532
 
7.2%
3 380
 
5.2%
0 369
 
5.0%
4 322
 
4.4%
5 311
 
4.2%
6 272
 
3.7%
7 251
 
3.4%
Other values (8) 564
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9800
56.9%
ASCII 7407
43.0%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3060
41.3%
1 742
 
10.0%
2 535
 
7.2%
- 532
 
7.2%
3 380
 
5.1%
0 369
 
5.0%
4 322
 
4.3%
5 311
 
4.2%
6 272
 
3.7%
7 251
 
3.4%
Other values (30) 633
 
8.5%
Hangul
ValueCountFrequency (%)
시 725
 
7.4%
기 718
 
7.3%
도 711
 
7.3%
경 706
 
7.2%
동 639
 
6.5%
지 365
 
3.7%
번 325
 
3.3%
구 310
 
3.2%
호 212
 
2.2%
양 190
 
1.9%
Other values (320) 4899
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

홈페이지주소
Text

MISSING 

Distinct298
Distinct (%)100.0%
Missing399
Missing (%)57.2%
Memory size5.6 KiB
2023-12-11T06:28:49.249923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length152
Median length35
Mean length19.889262
Min length1

Characters and Unicode

Total characters5927
Distinct characters123
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique298 ?
Unique (%)100.0%

Sample

1st rowhttp://cpart.kr
2nd rowchaeum2.modoo.at
3rd rowhttp://gg21coop.co.kr
4th rowwww.hansoocorp.com
5th rowwww.hamwoori.com
ValueCountFrequency (%)
http://gg21coop.co.kr 1
 
0.3%
http://www.teoju.com 1
 
0.3%
www.yirak.co.kr 1
 
0.3%
www.younet.kr 1
 
0.3%
www.petitforet.co.kr 1
 
0.3%
www.asmedcoop.or.kr 1
 
0.3%
www.gosam.co.kr 1
 
0.3%
www.peopleclean.co.kr 1
 
0.3%
www.hyundaifnb.com 1
 
0.3%
www.happygr.org 1
 
0.3%
Other values (292) 292
96.7%
2023-12-11T06:28:49.675052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 718
 
12.1%
. 665
 
11.2%
o 500
 
8.4%
t 349
 
5.9%
r 349
 
5.9%
/ 289
 
4.9%
c 275
 
4.6%
a 249
 
4.2%
e 238
 
4.0%
n 216
 
3.6%
Other values (113) 2079
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4556
76.9%
Other Punctuation 1079
 
18.2%
Decimal Number 156
 
2.6%
Other Letter 84
 
1.4%
Dash Punctuation 28
 
0.5%
Uppercase Letter 12
 
0.2%
Space Separator 4
 
0.1%
Connector Punctuation 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
목 2
 
2.4%
장 2
 
2.4%
천 2
 
2.4%
초 2
 
2.4%
티 2
 
2.4%
단 2
 
2.4%
리 2
 
2.4%
인 2
 
2.4%
스 2
 
2.4%
복 2
 
2.4%
Other values (60) 64
76.2%
Lowercase Letter
ValueCountFrequency (%)
w 718
15.8%
o 500
11.0%
t 349
 
7.7%
r 349
 
7.7%
c 275
 
6.0%
a 249
 
5.5%
e 238
 
5.2%
n 216
 
4.7%
m 212
 
4.7%
p 201
 
4.4%
Other values (16) 1249
27.4%
Decimal Number
ValueCountFrequency (%)
1 28
17.9%
0 22
14.1%
2 22
14.1%
3 17
10.9%
6 17
10.9%
7 14
9.0%
4 11
 
7.1%
5 11
 
7.1%
9 11
 
7.1%
8 3
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 665
61.6%
/ 289
26.8%
: 108
 
10.0%
% 9
 
0.8%
, 4
 
0.4%
? 3
 
0.3%
# 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
D 5
41.7%
C 5
41.7%
N 1
 
8.3%
P 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4568
77.1%
Common 1275
 
21.5%
Hangul 84
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
목 2
 
2.4%
장 2
 
2.4%
천 2
 
2.4%
초 2
 
2.4%
티 2
 
2.4%
단 2
 
2.4%
리 2
 
2.4%
인 2
 
2.4%
스 2
 
2.4%
복 2
 
2.4%
Other values (60) 64
76.2%
Latin
ValueCountFrequency (%)
w 718
15.7%
o 500
 
10.9%
t 349
 
7.6%
r 349
 
7.6%
c 275
 
6.0%
a 249
 
5.5%
e 238
 
5.2%
n 216
 
4.7%
m 212
 
4.6%
p 201
 
4.4%
Other values (20) 1261
27.6%
Common
ValueCountFrequency (%)
. 665
52.2%
/ 289
22.7%
: 108
 
8.5%
- 28
 
2.2%
1 28
 
2.2%
0 22
 
1.7%
2 22
 
1.7%
3 17
 
1.3%
6 17
 
1.3%
7 14
 
1.1%
Other values (13) 65
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5843
98.6%
Hangul 84
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 718
 
12.3%
. 665
 
11.4%
o 500
 
8.6%
t 349
 
6.0%
r 349
 
6.0%
/ 289
 
4.9%
c 275
 
4.7%
a 249
 
4.3%
e 238
 
4.1%
n 216
 
3.7%
Other values (43) 1995
34.1%
Hangul
ValueCountFrequency (%)
목 2
 
2.4%
장 2
 
2.4%
천 2
 
2.4%
초 2
 
2.4%
티 2
 
2.4%
단 2
 
2.4%
리 2
 
2.4%
인 2
 
2.4%
스 2
 
2.4%
복 2
 
2.4%
Other values (60) 64
76.2%

Correlations

2023-12-11T06:28:49.792522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스분야명주요목적인증여부
서비스분야명1.0000.4980.237
주요목적0.4981.0000.313
인증여부0.2370.3131.000
2023-12-11T06:28:49.884550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주요목적인증여부서비스분야명
주요목적1.0000.3810.228
인증여부0.3811.0000.180
서비스분야명0.2280.1801.000
2023-12-11T06:28:49.964973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스분야명주요목적인증여부
서비스분야명1.0000.2280.180
주요목적0.2281.0000.381
인증여부0.1800.3811.000

Missing values

2023-12-11T06:28:42.903249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:28:43.036815image/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.
2023-12-11T06:28:43.137145image/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

기관명서비스분야명주요목적사업내용인증여부인증일자인증번호정보대표자명기관전화번호정제도로명주소정제지번주소홈페이지주소
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9사단법인 참다솜교육기타혼합형방과후학교, 평생교육시설 운영Y2015-06-01제2015-060호현정숙031-922-6409경기도 고양시 덕양구 서정마을2로 17, 행복나눔센터1층(행신동)경기도 고양시 덕양구 행신동 1064번지 행복나눔센터 1층<NA>
기관명서비스분야명주요목적사업내용인증여부인증일자인증번호정보대표자명기관전화번호정제도로명주소정제지번주소홈페이지주소
687㈜ 주안기업기타일자리제공형제조업Y2022-04-20제2022-009호길현만, 이승희031-351-3527경기도 화성시 장안면 3.1만세로 229, 1층경기도 화성시 장안면 어은리 217번지 1층www.juancon.co.kr
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