Overview

Dataset statistics

Number of variables9
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory73.2 B

Variable types

Categorical3
Text5
DateTime1

Dataset

Description대구광역시_사회적기업 현황_20230930
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15088035&dataSetDetailId=150880351d5af8b1f5408&provdMethod=FILE

Alerts

시도 has constant value ""Constant
기관명 has unique valuesUnique
사업내용 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 18:12:39.738596
Analysis finished2023-12-10 18:12:40.915655
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
대구
114 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구 114
100.0%

Length

2023-12-11T03:12:41.038854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:41.221404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구 114
100.0%

구군
Categorical

Distinct8
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
달서구
22 
동구
21 
남구
19 
북구
15 
중구
14 
Other values (3)
23 

Length

Max length3
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동구
2nd row중구
3rd row서구
4th row달서구
5th row달서구

Common Values

ValueCountFrequency (%)
달서구 22
19.3%
동구 21
18.4%
남구 19
16.7%
북구 15
13.2%
중구 14
12.3%
수성구 11
9.6%
서구 7
 
6.1%
달성군 5
 
4.4%

Length

2023-12-11T03:12:41.406342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:41.631455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구 22
19.3%
동구 21
18.4%
남구 19
16.7%
북구 15
13.2%
중구 14
12.3%
수성구 11
9.6%
서구 7
 
6.1%
달성군 5
 
4.4%

기관명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T03:12:42.022675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length8.8947368
Min length2

Characters and Unicode

Total characters1014
Distinct characters249
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

Unique114 ?
Unique (%)100.0%

Sample

1st row㈜화진산업
2nd row주식회사 희망터
3rd row㈜서구웰푸드
4th row㈜자작나눔
5th row사단법인 대구위드
ValueCountFrequency (%)
사단법인 15
 
10.1%
주식회사 4
 
2.7%
협동조합 4
 
2.7%
사회적협동조합 3
 
2.0%
재단법인 2
 
1.3%
㈜에이치앤에이치그룹 1
 
0.7%
민트고래 1
 
0.7%
㈜끌과망치이야기 1
 
0.7%
바트리움㈜ 1
 
0.7%
나무를심은사람㈜농업회사법인 1
 
0.7%
Other values (116) 116
77.9%
2023-12-11T03:12:42.689269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 68
 
6.7%
사 38
 
3.7%
38
 
3.7%
인 28
 
2.8%
동 27
 
2.7%
협 26
 
2.6%
단 24
 
2.4%
조 23
 
2.3%
합 23
 
2.3%
스 23
 
2.3%
Other values (239) 696
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 887
87.5%
Other Symbol 68
 
6.7%
Space Separator 38
 
3.7%
Uppercase Letter 14
 
1.4%
Decimal Number 3
 
0.3%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 38
 
4.3%
인 28
 
3.2%
동 27
 
3.0%
협 26
 
2.9%
단 24
 
2.7%
조 23
 
2.6%
합 23
 
2.6%
스 23
 
2.6%
회 22
 
2.5%
한 20
 
2.3%
Other values (221) 633
71.4%
Uppercase Letter
ValueCountFrequency (%)
O 3
21.4%
B 2
14.3%
D 2
14.3%
E 1
 
7.1%
N 1
 
7.1%
I 1
 
7.1%
S 1
 
7.1%
G 1
 
7.1%
K 1
 
7.1%
A 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
0 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 68
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 955
94.2%
Common 45
 
4.4%
Latin 14
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 68
 
7.1%
사 38
 
4.0%
인 28
 
2.9%
동 27
 
2.8%
협 26
 
2.7%
단 24
 
2.5%
조 23
 
2.4%
합 23
 
2.4%
스 23
 
2.4%
회 22
 
2.3%
Other values (222) 653
68.4%
Latin
ValueCountFrequency (%)
O 3
21.4%
B 2
14.3%
D 2
14.3%
E 1
 
7.1%
N 1
 
7.1%
I 1
 
7.1%
S 1
 
7.1%
G 1
 
7.1%
K 1
 
7.1%
A 1
 
7.1%
Common
ValueCountFrequency (%)
38
84.4%
. 2
 
4.4%
3 1
 
2.2%
5 1
 
2.2%
0 1
 
2.2%
) 1
 
2.2%
( 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 887
87.5%
None 68
 
6.7%
ASCII 59
 
5.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 68
100.0%
Hangul
ValueCountFrequency (%)
사 38
 
4.3%
인 28
 
3.2%
동 27
 
3.0%
협 26
 
2.9%
단 24
 
2.7%
조 23
 
2.6%
합 23
 
2.6%
스 23
 
2.6%
회 22
 
2.5%
한 20
 
2.3%
Other values (221) 633
71.4%
ASCII
ValueCountFrequency (%)
38
64.4%
O 3
 
5.1%
. 2
 
3.4%
B 2
 
3.4%
D 2
 
3.4%
3 1
 
1.7%
5 1
 
1.7%
0 1
 
1.7%
) 1
 
1.7%
( 1
 
1.7%
Other values (7) 7
 
11.9%

업종별분류
Categorical

Distinct10
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
제조
25 
문화
23 
식품
16 
교육
13 
기타
10 
Other values (5)
27 

Length

Max length6
Median length2
Mean length2.4035088
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유통
2nd row문화
3rd row식품
4th row제조
5th row인쇄

Common Values

ValueCountFrequency (%)
제조 25
21.9%
문화 23
20.2%
식품 16
14.0%
교육 13
11.4%
기타 10
 
8.8%
환경관리 7
 
6.1%
기타(건축) 6
 
5.3%
유통 5
 
4.4%
인쇄 5
 
4.4%
사회복지 4
 
3.5%

Length

2023-12-11T03:12:42.947435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:43.172412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 25
21.9%
문화 23
20.2%
식품 16
14.0%
교육 13
11.4%
기타 10
 
8.8%
환경관리 7
 
6.1%
기타(건축 6
 
5.3%
유통 5
 
4.4%
인쇄 5
 
4.4%
사회복지 4
 
3.5%

인증번호
Text

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T03:12:43.547273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9.5
Mean length9.0964912
Min length8

Characters and Unicode

Total characters1037
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)98.2%

Sample

1st row2008-012
2nd row2008-133
3rd row2009-043
4th row2010-011
5th row2010-013
ValueCountFrequency (%)
제2019-196호 2
 
1.8%
2008-012 1
 
0.9%
제2020-209호 1
 
0.9%
제2020-067호 1
 
0.9%
제2018-096호 1
 
0.9%
제2019-022호 1
 
0.9%
제2020-066호 1
 
0.9%
제2020-304호 1
 
0.9%
제2019-272호 1
 
0.9%
제2020-065호 1
 
0.9%
Other values (103) 103
90.4%
2023-12-11T03:12:44.134831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 210
20.3%
2 192
18.5%
1 166
16.0%
- 114
11.0%
호 70
 
6.8%
제 57
 
5.5%
9 45
 
4.3%
8 39
 
3.8%
7 37
 
3.6%
3 36
 
3.5%
Other values (3) 71
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 796
76.8%
Other Letter 127
 
12.2%
Dash Punctuation 114
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 210
26.4%
2 192
24.1%
1 166
20.9%
9 45
 
5.7%
8 39
 
4.9%
7 37
 
4.6%
3 36
 
4.5%
6 31
 
3.9%
4 20
 
2.5%
5 20
 
2.5%
Other Letter
ValueCountFrequency (%)
호 70
55.1%
제 57
44.9%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 910
87.8%
Hangul 127
 
12.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 210
23.1%
2 192
21.1%
1 166
18.2%
- 114
12.5%
9 45
 
4.9%
8 39
 
4.3%
7 37
 
4.1%
3 36
 
4.0%
6 31
 
3.4%
4 20
 
2.2%
Hangul
ValueCountFrequency (%)
호 70
55.1%
제 57
44.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 910
87.8%
Hangul 127
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 210
23.1%
2 192
21.1%
1 166
18.2%
- 114
12.5%
9 45
 
4.9%
8 39
 
4.3%
7 37
 
4.1%
3 36
 
4.0%
6 31
 
3.4%
4 20
 
2.2%
Hangul
ValueCountFrequency (%)
호 70
55.1%
제 57
44.9%

인증일
Date

Distinct55
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2008-04-18 00:00:00
Maximum2021-09-08 00:00:00
2023-12-11T03:12:44.372832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:12:44.563950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

Distinct104
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T03:12:44.901591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.964912
Min length1

Characters and Unicode

Total characters1250
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

Unique103 ?
Unique (%)90.4%

Sample

1st row053-963-1050
2nd row053-255-0218
3rd row053-555-4842
4th row053-423-5898
5th row053-527-4341
ValueCountFrequency (%)
0 11
 
9.6%
053-963-1050 1
 
0.9%
070-7635-2401 1
 
0.9%
1899-9890 1
 
0.9%
053-983-9000 1
 
0.9%
053-214-0405 1
 
0.9%
053-965-9899 1
 
0.9%
053-622-1019 1
 
0.9%
053-218-1053 1
 
0.9%
053-564-1007 1
 
0.9%
Other values (94) 94
82.5%
2023-12-11T03:12:45.385928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 204
16.3%
0 200
16.0%
5 191
15.3%
3 165
13.2%
1 84
6.7%
2 79
 
6.3%
7 78
 
6.2%
6 70
 
5.6%
9 69
 
5.5%
8 56
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1046
83.7%
Dash Punctuation 204
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 200
19.1%
5 191
18.3%
3 165
15.8%
1 84
8.0%
2 79
 
7.6%
7 78
 
7.5%
6 70
 
6.7%
9 69
 
6.6%
8 56
 
5.4%
4 54
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 204
16.3%
0 200
16.0%
5 191
15.3%
3 165
13.2%
1 84
6.7%
2 79
 
6.3%
7 78
 
6.2%
6 70
 
5.6%
9 69
 
5.5%
8 56
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 204
16.3%
0 200
16.0%
5 191
15.3%
3 165
13.2%
1 84
6.7%
2 79
 
6.3%
7 78
 
6.2%
6 70
 
5.6%
9 69
 
5.5%
8 56
 
4.5%

사업내용
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T03:12:45.773784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length42
Mean length25.403509
Min length3

Characters and Unicode

Total characters2896
Distinct characters333
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

Unique114 ?
Unique (%)100.0%

Sample

1st row장갑제조 및 사무용품 판매·임대, 택시운수업
2nd row재활용 자전거 생산, 문화예술 사업
3rd row출장뷔페, 도시락 제조 및 판매, 아동급식
4th row친환경 화장품 및 천연비누
5th row옥내외 광고물, 인쇄업(간판, 현수막, 배너, 인쇄물)
ValueCountFrequency (%)
및 54
 
8.4%
등 17
 
2.6%
위한 10
 
1.6%
제조 10
 
1.6%
판매 10
 
1.6%
제공 7
 
1.1%
제작 7
 
1.1%
공연 7
 
1.1%
사업 6
 
0.9%
서비스 6
 
0.9%
Other values (427) 511
79.2%
2023-12-11T03:12:46.410534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
545
 
18.8%
, 117
 
4.0%
제 62
 
2.1%
및 57
 
2.0%
사 51
 
1.8%
공 50
 
1.7%
업 46
 
1.6%
인 40
 
1.4%
교 40
 
1.4%
육 37
 
1.3%
Other values (323) 1851
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2178
75.2%
Space Separator 545
 
18.8%
Other Punctuation 123
 
4.2%
Close Punctuation 18
 
0.6%
Open Punctuation 18
 
0.6%
Lowercase Letter 7
 
0.2%
Decimal Number 3
 
0.1%
Dash Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 62
 
2.8%
및 57
 
2.6%
사 51
 
2.3%
공 50
 
2.3%
업 46
 
2.1%
인 40
 
1.8%
교 40
 
1.8%
육 37
 
1.7%
기 31
 
1.4%
연 31
 
1.4%
Other values (305) 1733
79.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
p 1
14.3%
t 1
14.3%
s 1
14.3%
e 1
14.3%
n 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 117
95.1%
/ 3
 
2.4%
· 2
 
1.6%
: 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
3 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
545
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2178
75.2%
Common 709
 
24.5%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 62
 
2.8%
및 57
 
2.6%
사 51
 
2.3%
공 50
 
2.3%
업 46
 
2.1%
인 40
 
1.8%
교 40
 
1.8%
육 37
 
1.7%
기 31
 
1.4%
연 31
 
1.4%
Other values (305) 1733
79.6%
Common
ValueCountFrequency (%)
545
76.9%
, 117
 
16.5%
) 18
 
2.5%
( 18
 
2.5%
/ 3
 
0.4%
- 2
 
0.3%
· 2
 
0.3%
1 2
 
0.3%
: 1
 
0.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
o 2
22.2%
T 1
11.1%
I 1
11.1%
p 1
11.1%
t 1
11.1%
s 1
11.1%
e 1
11.1%
n 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2178
75.2%
ASCII 716
 
24.7%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
545
76.1%
, 117
 
16.3%
) 18
 
2.5%
( 18
 
2.5%
/ 3
 
0.4%
- 2
 
0.3%
1 2
 
0.3%
o 2
 
0.3%
: 1
 
0.1%
T 1
 
0.1%
Other values (7) 7
 
1.0%
Hangul
ValueCountFrequency (%)
제 62
 
2.8%
및 57
 
2.6%
사 51
 
2.3%
공 50
 
2.3%
업 46
 
2.1%
인 40
 
1.8%
교 40
 
1.8%
육 37
 
1.7%
기 31
 
1.4%
연 31
 
1.4%
Other values (305) 1733
79.6%
None
ValueCountFrequency (%)
· 2
100.0%

소재지
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T03:12:46.780171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length21.692982
Min length10

Characters and Unicode

Total characters2473
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row동구 안심로65길 13(각산동)
2nd row중구 국채보상로 541, 2층
3rd row서구 서대구로 220(평리동)
4th row달서구 성서공단로11길 62, 408호(호산동, 벤처공장1호관)
5th row달서구 감삼남길 91(감삼동)
ValueCountFrequency (%)
달서구 22
 
4.8%
동구 21
 
4.6%
남구 19
 
4.1%
북구 15
 
3.3%
중구 14
 
3.1%
수성구 11
 
2.4%
서구 7
 
1.5%
2층 5
 
1.1%
4층 5
 
1.1%
달성군 5
 
1.1%
Other values (297) 334
72.9%
2023-12-11T03:12:47.493600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
13.9%
동 139
 
5.6%
구 120
 
4.9%
1 118
 
4.8%
로 109
 
4.4%
) 97
 
3.9%
( 97
 
3.9%
, 83
 
3.4%
2 71
 
2.9%
3 67
 
2.7%
Other values (195) 1228
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
52.7%
Decimal Number 521
 
21.1%
Space Separator 344
 
13.9%
Close Punctuation 97
 
3.9%
Open Punctuation 97
 
3.9%
Other Punctuation 85
 
3.4%
Dash Punctuation 18
 
0.7%
Uppercase Letter 4
 
0.2%
Math Symbol 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 139
 
10.7%
구 120
 
9.2%
로 109
 
8.4%
길 60
 
4.6%
대 50
 
3.8%
층 44
 
3.4%
서 42
 
3.2%
달 35
 
2.7%
호 32
 
2.5%
성 27
 
2.1%
Other values (173) 646
49.5%
Decimal Number
ValueCountFrequency (%)
1 118
22.6%
2 71
13.6%
3 67
12.9%
4 64
12.3%
0 54
10.4%
5 34
 
6.5%
7 30
 
5.8%
8 30
 
5.8%
6 28
 
5.4%
9 25
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
T 1
25.0%
I 1
25.0%
L 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 83
97.6%
/ 2
 
2.4%
Space Separator
ValueCountFrequency (%)
344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
52.7%
Common 1164
47.1%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 139
 
10.7%
구 120
 
9.2%
로 109
 
8.4%
길 60
 
4.6%
대 50
 
3.8%
층 44
 
3.4%
서 42
 
3.2%
달 35
 
2.7%
호 32
 
2.5%
성 27
 
2.1%
Other values (173) 646
49.5%
Common
ValueCountFrequency (%)
344
29.6%
1 118
 
10.1%
) 97
 
8.3%
( 97
 
8.3%
, 83
 
7.1%
2 71
 
6.1%
3 67
 
5.8%
4 64
 
5.5%
0 54
 
4.6%
5 34
 
2.9%
Other values (7) 135
 
11.6%
Latin
ValueCountFrequency (%)
A 1
20.0%
T 1
20.0%
I 1
20.0%
h 1
20.0%
L 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
52.7%
ASCII 1169
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
29.4%
1 118
 
10.1%
) 97
 
8.3%
( 97
 
8.3%
, 83
 
7.1%
2 71
 
6.1%
3 67
 
5.7%
4 64
 
5.5%
0 54
 
4.6%
5 34
 
2.9%
Other values (12) 140
12.0%
Hangul
ValueCountFrequency (%)
동 139
 
10.7%
구 120
 
9.2%
로 109
 
8.4%
길 60
 
4.6%
대 50
 
3.8%
층 44
 
3.4%
서 42
 
3.2%
달 35
 
2.7%
호 32
 
2.5%
성 27
 
2.1%
Other values (173) 646
49.5%

Correlations

2023-12-11T03:12:47.625241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군업종별분류인증일
구군1.0000.3490.484
업종별분류0.3491.0000.615
인증일0.4840.6151.000
2023-12-11T03:12:47.771468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종별분류구군
업종별분류1.0000.171
구군0.1711.000
2023-12-11T03:12:47.914126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군업종별분류
구군1.0000.171
업종별분류0.1711.000

Missing values

2023-12-11T03:12:40.607192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:12:40.830289image/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

시도구군기관명업종별분류인증번호인증일전화번호사업내용소재지
0대구동구㈜화진산업유통2008-0122008-04-18053-963-1050장갑제조 및 사무용품 판매·임대, 택시운수업동구 안심로65길 13(각산동)
1대구중구주식회사 희망터문화2008-1332008-12-30053-255-0218재활용 자전거 생산, 문화예술 사업중구 국채보상로 541, 2층
2대구서구㈜서구웰푸드식품2009-0432009-11-11053-555-4842출장뷔페, 도시락 제조 및 판매, 아동급식서구 서대구로 220(평리동)
3대구달서구㈜자작나눔제조2010-0112010-05-26053-423-5898친환경 화장품 및 천연비누달서구 성서공단로11길 62, 408호(호산동, 벤처공장1호관)
4대구달서구사단법인 대구위드인쇄2010-0132010-05-26053-527-4341옥내외 광고물, 인쇄업(간판, 현수막, 배너, 인쇄물)달서구 감삼남길 91(감삼동)
5대구달서구㈜햇빛나들이문화2010-0982010-10-20053-634-0029국내외 여행, 체험학습, 행사이벤트달서구 송현로 113, 상가동 208호(송현동, 본동주공임대아파트)
6대구달서구사단법인 색동회 대구지부문화2010-0992010-10-20053-653-7995동화구연, 동극지도자 양성파견사업달서구 명덕로 17, 3층(두류동)
7대구달서구㈜늘푸르미식품2010-1002010-10-20053-636-5567도시락, 밑반찬 제조 및 판매, 출장뷔페달서구 송현로 113, 상가동 109호(송현동, 본동주공임대아파트)
8대구남구대구현대음악오케스트라문화2010-1812010-12-22053-623-1997예술교육사업 및 문화공연(오케스트라)남구 중앙대로49길 14, 지하1층(대명동)
9대구서구사단법인 한지나라공예문화협회제조2010-1822010-12-22053-555-3345전통한지공예 전문인력 양성 및 공예품 제작서구 국채보상로76길 8-1, 2층(비산동)
시도구군기관명업종별분류인증번호인증일전화번호사업내용소재지
104대구달서구문화예술교육연구소 한국파릇하우스문화제2021-191호2021-07-15053-632-1107장애인 문화예술 교육사업 및 공연달서구 학산로 17, 월성청구코아 4층 404호
105대구달서구㈜운동명가조아짐기타제2021-031호2021-03-10053-631-0950여성전용 운동센터(발레,줌바댄스 등)달서구 월곡로 260, 상인프라자 8층
106대구남구사단법인 극단고도문화제2019-069호2019-05-10053-256-5735찾아가는 체험 인형극 공연(소외계층 사회서비스 제공)남구 명덕로 100, 5층(대명동)
107대구북구㈜레마온종일케어사회복지제2020-307호2020-11-10053-941-0091방문요양, 방문간호, 복지용구제공사업 등북구 노워놀 62, A동 1,3층(노원동3가)
108대구달서구㈜스카이엔터프라이즈기타제2021-189호2021-07-150드론교육업, 드론사진촬용, 드론제조 등달서구 비슬로538길 16, 2층(대곡동)
109대구동구주식회사 한올인쇄인쇄제2019-275호2019-11-07053-964-8494인쇄업동구 첨복로 27, 1층(신서동, 해도빌딩)
110대구중구문화콘텐츠생산자협동조합문화제2020-206호2020-09-10053-217-3900원도심의 개발을 통해 지역사회의 문제 해결중구 경상감영길 39(서문로1가)
111대구남구주식회사 지엠건설기타(건축)제2021-105호2021-05-110건설업남구 대경5길 16-2, 1층(대명동)
112대구달서구한국산재장애인협회㈜사회복지제2016-086호2016-06-290보도블럭 제작달서구 성서로36길 40(월암동)
113대구달성군주식회사 미르크린환경관리제2021-187호2021-07-15053-716-6896건물관리달성군 현풍읍 테크노대로 61, 4층 405호(테크노폴리스 메가타워)