Overview

Dataset statistics

Number of variables15
Number of observations32
Missing cells40
Missing cells (%)8.3%
Duplicate rows1
Duplicate rows (%)3.1%
Total size in memory3.9 KiB
Average record size in memory125.0 B

Variable types

Text8
Categorical3
Boolean2
DateTime2

Dataset

Description대구광역시_달서구_사회적기업
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15012895&dataSetDetailId=15012895296988e72f889&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (3.1%) duplicate rowsDuplicates
사회서비스분야 is highly imbalanced (58.0%)Imbalance
예비형태 is highly imbalanced (66.3%)Imbalance
부처형태 is highly imbalanced (63.4%)Imbalance
인증(지정)일자 has 15 (46.9%) missing valuesMissing
전화번호 has 4 (12.5%) missing valuesMissing
홈페이지주소 has 21 (65.6%) missing valuesMissing

Reproduction

Analysis started2024-04-21 07:43:13.692089
Analysis finished2024-04-21 07:43:17.445698
Duration3.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T16:43:18.009927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.46875
Min length3

Characters and Unicode

Total characters303
Distinct characters128
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

Unique29 ?
Unique (%)90.6%

Sample

1st row(사)대구위드
2nd row(주)햇빛나들이
3rd row(주)늘푸르미
4th row(사)색동회 대구지회
5th row(주)행복한세상
ValueCountFrequency (%)
㈜하이푸드 3
 
7.1%
주)햇빛나들이 1
 
2.4%
주)대구주거환경개선센터 1
 
2.4%
주)한국파릇하우스 1
 
2.4%
㈜운동명가 1
 
2.4%
조아짐 1
 
2.4%
대구드론아카데미 1
 
2.4%
㈜문화교육창작소 1
 
2.4%
봄 1
 
2.4%
고용노동부 1
 
2.4%
Other values (30) 30
71.4%
2024-04-21T16:43:19.198935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 21
 
6.9%
) 21
 
6.9%
㈜ 14
 
4.6%
주 11
 
3.6%
10
 
3.3%
이 7
 
2.3%
한 7
 
2.3%
사 6
 
2.0%
스 6
 
2.0%
구 5
 
1.7%
Other values (118) 195
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
78.2%
Open Punctuation 21
 
6.9%
Close Punctuation 21
 
6.9%
Other Symbol 14
 
4.6%
Space Separator 10
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
4.6%
이 7
 
3.0%
한 7
 
3.0%
사 6
 
2.5%
스 6
 
2.5%
구 5
 
2.1%
드 5
 
2.1%
부 5
 
2.1%
대 5
 
2.1%
동 5
 
2.1%
Other values (114) 175
73.8%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 251
82.8%
Common 52
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 14
 
5.6%
주 11
 
4.4%
이 7
 
2.8%
한 7
 
2.8%
사 6
 
2.4%
스 6
 
2.4%
구 5
 
2.0%
드 5
 
2.0%
부 5
 
2.0%
대 5
 
2.0%
Other values (115) 180
71.7%
Common
ValueCountFrequency (%)
( 21
40.4%
) 21
40.4%
10
19.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
78.2%
ASCII 52
 
17.2%
None 14
 
4.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 21
40.4%
) 21
40.4%
10
19.2%
None
ValueCountFrequency (%)
㈜ 14
100.0%
Hangul
ValueCountFrequency (%)
주 11
 
4.6%
이 7
 
3.0%
한 7
 
3.0%
사 6
 
2.5%
스 6
 
2.5%
구 5
 
2.1%
드 5
 
2.1%
부 5
 
2.1%
대 5
 
2.1%
동 5
 
2.1%
Other values (114) 175
73.8%

사회서비스분야
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
기타
27 
예술·관광
3 
청소
 
1
환경
 
1

Length

Max length5
Median length2
Mean length2.28125
Min length2

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
기타 27
84.4%
예술·관광 3
 
9.4%
청소 1
 
3.1%
환경 1
 
3.1%

Length

2024-04-21T16:43:19.624826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:19.958435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 27
84.4%
예술·관광 3
 
9.4%
청소 1
 
3.1%
환경 1
 
3.1%

주된목적
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
일자리제공형
16 
혼합형
13 
사회서비스제공형
2 
지역사회공헌형
 
1

Length

Max length8
Median length7.5
Mean length4.9375
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
일자리제공형 16
50.0%
혼합형 13
40.6%
사회서비스제공형 2
 
6.2%
지역사회공헌형 1
 
3.1%

Length

2024-04-21T16:43:20.331099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:20.658868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 16
50.0%
혼합형 13
40.6%
사회서비스제공형 2
 
6.2%
지역사회공헌형 1
 
3.1%

사업내용
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T16:43:21.514386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length21
Mean length16.1875
Min length8

Characters and Unicode

Total characters518
Distinct characters161
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)90.6%

Sample

1st row각종인쇄, 광고홍보물 기획 및 제작
2nd row거동불편자 야외활동 지원 서비스
3rd row밑반찬, 도시락
4th row동화구연, 동극지도자 양성·파견사업
5th row건물종합관리업(청소, 방역, 경비)
ValueCountFrequency (%)
및 17
 
12.3%
등 9
 
6.5%
판매 6
 
4.3%
제조 4
 
2.9%
반찬 3
 
2.2%
서비스 3
 
2.2%
교육서비스 3
 
2.2%
기획 2
 
1.4%
운영 2
 
1.4%
방과후학교 2
 
1.4%
Other values (82) 87
63.0%
2024-04-21T16:43:23.016118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
20.5%
, 17
 
3.3%
및 17
 
3.3%
교 12
 
2.3%
제 9
 
1.7%
등 9
 
1.7%
스 9
 
1.7%
비 9
 
1.7%
판 8
 
1.5%
매 8
 
1.5%
Other values (151) 314
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
74.5%
Space Separator 106
 
20.5%
Other Punctuation 21
 
4.1%
Uppercase Letter 3
 
0.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
및 17
 
4.4%
교 12
 
3.1%
제 9
 
2.3%
등 9
 
2.3%
스 9
 
2.3%
비 9
 
2.3%
판 8
 
2.1%
매 8
 
2.1%
동 8
 
2.1%
서 7
 
1.8%
Other values (141) 290
75.1%
Other Punctuation
ValueCountFrequency (%)
, 17
81.0%
. 2
 
9.5%
? 1
 
4.8%
· 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
O 1
33.3%
T 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 386
74.5%
Common 129
 
24.9%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
및 17
 
4.4%
교 12
 
3.1%
제 9
 
2.3%
등 9
 
2.3%
스 9
 
2.3%
비 9
 
2.3%
판 8
 
2.1%
매 8
 
2.1%
동 8
 
2.1%
서 7
 
1.8%
Other values (141) 290
75.1%
Common
ValueCountFrequency (%)
106
82.2%
, 17
 
13.2%
. 2
 
1.6%
? 1
 
0.8%
· 1
 
0.8%
( 1
 
0.8%
) 1
 
0.8%
Latin
ValueCountFrequency (%)
O 1
33.3%
T 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
74.5%
ASCII 131
 
25.3%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
80.9%
, 17
 
13.0%
. 2
 
1.5%
O 1
 
0.8%
? 1
 
0.8%
( 1
 
0.8%
) 1
 
0.8%
T 1
 
0.8%
I 1
 
0.8%
Hangul
ValueCountFrequency (%)
및 17
 
4.4%
교 12
 
3.1%
제 9
 
2.3%
등 9
 
2.3%
스 9
 
2.3%
비 9
 
2.3%
판 8
 
2.1%
매 8
 
2.1%
동 8
 
2.1%
서 7
 
1.8%
Other values (141) 290
75.1%
None
ValueCountFrequency (%)
· 1
100.0%

인증(지정)여부
Boolean

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
17 
False
15 
ValueCountFrequency (%)
True 17
53.1%
False 15
46.9%
2024-04-21T16:43:23.362470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예비형태
Boolean

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
30 
False
 
2
ValueCountFrequency (%)
True 30
93.8%
False 2
 
6.2%
2024-04-21T16:43:23.634139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

부처형태
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
28 
3
 
2
9
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
87.5%
3 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%

Length

2024-04-21T16:43:23.960462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:24.275445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
87.5%
3 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%

인증(지정)일자
Date

MISSING 

Distinct13
Distinct (%)76.5%
Missing15
Missing (%)46.9%
Memory size384.0 B
Minimum2010-05-26 00:00:00
Maximum2020-09-10 00:00:00
2024-04-21T16:43:24.566243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:43:24.909423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

인증(지정)번호
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T16:43:25.617089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.125
Min length10

Characters and Unicode

Total characters324
Distinct characters17
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

Unique29 ?
Unique (%)90.6%

Sample

1st row제2010-013호
2nd row제2010-098호
3rd row제2010-100호
4th row제2010-099호
5th row제2011-083호
ValueCountFrequency (%)
제2020-019호 3
 
8.8%
고용부 2
 
5.9%
제2017-019호 1
 
2.9%
제2020-018호 1
 
2.9%
제2020-006호 1
 
2.9%
제2020-005호 1
 
2.9%
제2020-004호 1
 
2.9%
2019-195 1
 
2.9%
제2019-039호 1
 
2.9%
2019-030 1
 
2.9%
Other values (21) 21
61.8%
2024-04-21T16:43:26.787730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
24.1%
2 50
15.4%
1 44
13.6%
- 32
9.9%
제 30
 
9.3%
호 30
 
9.3%
9 20
 
6.2%
3 9
 
2.8%
8 8
 
2.5%
7 7
 
2.2%
Other values (7) 16
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 224
69.1%
Other Letter 66
 
20.4%
Dash Punctuation 32
 
9.9%
Space Separator 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
34.8%
2 50
22.3%
1 44
19.6%
9 20
 
8.9%
3 9
 
4.0%
8 8
 
3.6%
7 7
 
3.1%
5 3
 
1.3%
4 3
 
1.3%
6 2
 
0.9%
Other Letter
ValueCountFrequency (%)
제 30
45.5%
호 30
45.5%
고 2
 
3.0%
용 2
 
3.0%
부 2
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 258
79.6%
Hangul 66
 
20.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
30.2%
2 50
19.4%
1 44
17.1%
- 32
12.4%
9 20
 
7.8%
3 9
 
3.5%
8 8
 
3.1%
7 7
 
2.7%
5 3
 
1.2%
4 3
 
1.2%
Other values (2) 4
 
1.6%
Hangul
ValueCountFrequency (%)
제 30
45.5%
호 30
45.5%
고 2
 
3.0%
용 2
 
3.0%
부 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 258
79.6%
Hangul 66
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
30.2%
2 50
19.4%
1 44
17.1%
- 32
12.4%
9 20
 
7.8%
3 9
 
3.5%
8 8
 
3.1%
7 7
 
2.7%
5 3
 
1.2%
4 3
 
1.2%
Other values (2) 4
 
1.6%
Hangul
ValueCountFrequency (%)
제 30
45.5%
호 30
45.5%
고 2
 
3.0%
용 2
 
3.0%
부 2
 
3.0%

대표자명
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T16:43:27.484563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.46875
Min length3

Characters and Unicode

Total characters111
Distinct characters52
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

Unique29 ?
Unique (%)90.6%

Sample

1st row손준영
2nd row박종호
3rd row최미양
4th row한미자
5th row전순례, 신혜영
ValueCountFrequency (%)
황인정 3
 
8.6%
김은주 1
 
2.9%
정희준 1
 
2.9%
이수민 1
 
2.9%
김종민 1
 
2.9%
이종화 1
 
2.9%
박지현 1
 
2.9%
박종원 1
 
2.9%
윤미경 1
 
2.9%
함영관 1
 
2.9%
Other values (23) 23
65.7%
2024-04-21T16:43:28.564520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 8
 
7.2%
정 7
 
6.3%
박 5
 
4.5%
이 5
 
4.5%
종 4
 
3.6%
영 4
 
3.6%
김 4
 
3.6%
황 3
 
2.7%
3
 
2.7%
인 3
 
2.7%
Other values (42) 65
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
94.6%
Space Separator 3
 
2.7%
Other Punctuation 3
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 8
 
7.6%
정 7
 
6.7%
박 5
 
4.8%
이 5
 
4.8%
종 4
 
3.8%
영 4
 
3.8%
김 4
 
3.8%
황 3
 
2.9%
인 3
 
2.9%
최 3
 
2.9%
Other values (40) 59
56.2%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
94.6%
Common 6
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 8
 
7.6%
정 7
 
6.7%
박 5
 
4.8%
이 5
 
4.8%
종 4
 
3.8%
영 4
 
3.8%
김 4
 
3.8%
황 3
 
2.9%
인 3
 
2.9%
최 3
 
2.9%
Other values (40) 59
56.2%
Common
ValueCountFrequency (%)
3
50.0%
, 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
94.6%
ASCII 6
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 8
 
7.6%
정 7
 
6.7%
박 5
 
4.8%
이 5
 
4.8%
종 4
 
3.8%
영 4
 
3.8%
김 4
 
3.8%
황 3
 
2.9%
인 3
 
2.9%
최 3
 
2.9%
Other values (40) 59
56.2%
ASCII
ValueCountFrequency (%)
3
50.0%
, 3
50.0%

전화번호
Text

MISSING 

Distinct26
Distinct (%)92.9%
Missing4
Missing (%)12.5%
Memory size384.0 B
2024-04-21T16:43:29.256331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.142857
Min length12

Characters and Unicode

Total characters340
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

Unique25 ?
Unique (%)89.3%

Sample

1st row053-527-4341
2nd row053-634-0029
3rd row053-653-7995
4th row053-524-1231
5th row053-639-7114
ValueCountFrequency (%)
053-525-5545 3
 
10.7%
053-527-4341 1
 
3.6%
070-8196-3989 1
 
3.6%
053-244-7360 1
 
3.6%
053-565-8864 1
 
3.6%
053-629-3335 1
 
3.6%
053-556-9510 1
 
3.6%
053-633-1003 1
 
3.6%
070-8827-1828 1
 
3.6%
053-634-7010 1
 
3.6%
Other values (16) 16
57.1%
2024-04-21T16:43:30.343178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 64
18.8%
- 56
16.5%
0 50
14.7%
3 45
13.2%
2 24
 
7.1%
6 20
 
5.9%
4 19
 
5.6%
7 19
 
5.6%
1 16
 
4.7%
8 15
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 284
83.5%
Dash Punctuation 56
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 64
22.5%
0 50
17.6%
3 45
15.8%
2 24
 
8.5%
6 20
 
7.0%
4 19
 
6.7%
7 19
 
6.7%
1 16
 
5.6%
8 15
 
5.3%
9 12
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 64
18.8%
- 56
16.5%
0 50
14.7%
3 45
13.2%
2 24
 
7.1%
6 20
 
5.9%
4 19
 
5.6%
7 19
 
5.6%
1 16
 
4.7%
8 15
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 64
18.8%
- 56
16.5%
0 50
14.7%
3 45
13.2%
2 24
 
7.1%
6 20
 
5.9%
4 19
 
5.6%
7 19
 
5.6%
1 16
 
4.7%
8 15
 
4.4%

소재지도로명주소
Text

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T16:43:31.159400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23.5
Mean length20.3125
Min length16

Characters and Unicode

Total characters650
Distinct characters67
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)78.1%

Sample

1st row대구광역시 달서구 감삼남길 91(감삼동)
2nd row대구광역시 달서구 송현로 113
3rd row대구광역시 달서구 송현로 113
4th row대구광역시 달서구 명덕로 17(두류동)
5th row대구광역시 달서구 와룡로43길 70(용산동)
ValueCountFrequency (%)
대구광역시 32
23.9%
달서구 32
23.9%
용산로 3
 
2.2%
253 3
 
2.2%
명덕로 2
 
1.5%
16 2
 
1.5%
와룡로 2
 
1.5%
달구벌대로 2
 
1.5%
와룡로43길 2
 
1.5%
월곡로 2
 
1.5%
Other values (48) 52
38.8%
2024-04-21T16:43:32.382595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
15.7%
구 66
 
10.2%
서 36
 
5.5%
대 35
 
5.4%
달 35
 
5.4%
광 32
 
4.9%
역 32
 
4.9%
시 32
 
4.9%
로 30
 
4.6%
1 24
 
3.7%
Other values (57) 226
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
63.5%
Decimal Number 107
 
16.5%
Space Separator 102
 
15.7%
Open Punctuation 11
 
1.7%
Close Punctuation 11
 
1.7%
Other Punctuation 5
 
0.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 66
16.0%
서 36
 
8.7%
대 35
 
8.5%
달 35
 
8.5%
광 32
 
7.7%
역 32
 
7.7%
시 32
 
7.7%
로 30
 
7.3%
길 14
 
3.4%
동 11
 
2.7%
Other values (41) 90
21.8%
Decimal Number
ValueCountFrequency (%)
1 24
22.4%
3 17
15.9%
2 15
14.0%
7 9
 
8.4%
5 9
 
8.4%
4 8
 
7.5%
0 8
 
7.5%
6 7
 
6.5%
9 6
 
5.6%
8 4
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
63.5%
Common 237
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 66
16.0%
서 36
 
8.7%
대 35
 
8.5%
달 35
 
8.5%
광 32
 
7.7%
역 32
 
7.7%
시 32
 
7.7%
로 30
 
7.3%
길 14
 
3.4%
동 11
 
2.7%
Other values (41) 90
21.8%
Common
ValueCountFrequency (%)
102
43.0%
1 24
 
10.1%
3 17
 
7.2%
2 15
 
6.3%
( 11
 
4.6%
) 11
 
4.6%
7 9
 
3.8%
5 9
 
3.8%
4 8
 
3.4%
0 8
 
3.4%
Other values (6) 23
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
63.5%
ASCII 237
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
43.0%
1 24
 
10.1%
3 17
 
7.2%
2 15
 
6.3%
( 11
 
4.6%
) 11
 
4.6%
7 9
 
3.8%
5 9
 
3.8%
4 8
 
3.4%
0 8
 
3.4%
Other values (6) 23
 
9.7%
Hangul
ValueCountFrequency (%)
구 66
16.0%
서 36
 
8.7%
대 35
 
8.5%
달 35
 
8.5%
광 32
 
7.7%
역 32
 
7.7%
시 32
 
7.7%
로 30
 
7.3%
길 14
 
3.4%
동 11
 
2.7%
Other values (41) 90
21.8%

소재지지번주소
Text

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T16:43:33.114840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19
Min length17

Characters and Unicode

Total characters608
Distinct characters47
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

Unique25 ?
Unique (%)78.1%

Sample

1st row대구광역시 달서구 감삼동 159-4
2nd row대구광역시 달서구 송현동 977-2
3rd row대구광역시 달서구 송현동 977-2
4th row대구광역시 달서구 두류동 1192-67
5th row대구광역시 달서구 용산동 898-7
ValueCountFrequency (%)
대구광역시 32
25.0%
달서구 32
25.0%
용산동 4
 
3.1%
송현동 4
 
3.1%
두류동 3
 
2.3%
918 3
 
2.3%
월성동 3
 
2.3%
죽전동 3
 
2.3%
이곡동 2
 
1.6%
상인동 2
 
1.6%
Other values (36) 40
31.2%
2024-04-21T16:43:34.242608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
15.8%
구 64
 
10.5%
대 34
 
5.6%
광 32
 
5.3%
역 32
 
5.3%
시 32
 
5.3%
달 32
 
5.3%
서 32
 
5.3%
동 32
 
5.3%
1 28
 
4.6%
Other values (37) 194
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
57.9%
Decimal Number 136
 
22.4%
Space Separator 96
 
15.8%
Dash Punctuation 24
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
18.2%
대 34
9.7%
광 32
9.1%
역 32
9.1%
시 32
9.1%
달 32
9.1%
서 32
9.1%
동 32
9.1%
산 5
 
1.4%
현 4
 
1.1%
Other values (25) 53
15.1%
Decimal Number
ValueCountFrequency (%)
1 28
20.6%
2 21
15.4%
9 18
13.2%
7 15
11.0%
0 12
8.8%
5 12
8.8%
8 11
 
8.1%
4 8
 
5.9%
3 6
 
4.4%
6 5
 
3.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
57.9%
Common 256
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
18.2%
대 34
9.7%
광 32
9.1%
역 32
9.1%
시 32
9.1%
달 32
9.1%
서 32
9.1%
동 32
9.1%
산 5
 
1.4%
현 4
 
1.1%
Other values (25) 53
15.1%
Common
ValueCountFrequency (%)
96
37.5%
1 28
 
10.9%
- 24
 
9.4%
2 21
 
8.2%
9 18
 
7.0%
7 15
 
5.9%
0 12
 
4.7%
5 12
 
4.7%
8 11
 
4.3%
4 8
 
3.1%
Other values (2) 11
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
57.9%
ASCII 256
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
37.5%
1 28
 
10.9%
- 24
 
9.4%
2 21
 
8.2%
9 18
 
7.0%
7 15
 
5.9%
0 12
 
4.7%
5 12
 
4.7%
8 11
 
4.3%
4 8
 
3.1%
Other values (2) 11
 
4.3%
Hangul
ValueCountFrequency (%)
구 64
18.2%
대 34
9.7%
광 32
9.1%
역 32
9.1%
시 32
9.1%
달 32
9.1%
서 32
9.1%
동 32
9.1%
산 5
 
1.4%
현 4
 
1.1%
Other values (25) 53
15.1%

홈페이지주소
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Memory size384.0 B
2024-04-21T16:43:34.912834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length24.181818
Min length21

Characters and Unicode

Total characters266
Distinct characters29
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st rowhttp://www.ewithwith.com
2nd rowhttp://www.hbnuri.com
3rd rowhttp://www.ilovesd.kr
4th rowhttp://hbdaegu.co.kr/
5th rowhttp://www.nanumclovermall.co.kr
ValueCountFrequency (%)
http://www.ewithwith.com 1
9.1%
http://www.hbnuri.com 1
9.1%
http://www.ilovesd.kr 1
9.1%
http://hbdaegu.co.kr 1
9.1%
http://www.nanumclovermall.co.kr 1
9.1%
http://www.ppia.co.kr 1
9.1%
http://www.jajacnanum.co.kr 1
9.1%
http://www.eulrim.com/main.html 1
9.1%
http://www.uri1318.co.kr 1
9.1%
http://www.inari.co.kr 1
9.1%
2024-04-21T16:43:35.970206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 29
 
10.9%
. 28
 
10.5%
t 26
 
9.8%
/ 24
 
9.0%
h 16
 
6.0%
r 14
 
5.3%
p 13
 
4.9%
c 12
 
4.5%
o 12
 
4.5%
: 11
 
4.1%
Other values (19) 81
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 197
74.1%
Other Punctuation 63
 
23.7%
Decimal Number 6
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 29
14.7%
t 26
13.2%
h 16
 
8.1%
r 14
 
7.1%
p 13
 
6.6%
c 12
 
6.1%
o 12
 
6.1%
a 11
 
5.6%
i 10
 
5.1%
m 9
 
4.6%
Other values (11) 45
22.8%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
3 1
16.7%
8 1
16.7%
2 1
16.7%
4 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 28
44.4%
/ 24
38.1%
: 11
 
17.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 197
74.1%
Common 69
 
25.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 29
14.7%
t 26
13.2%
h 16
 
8.1%
r 14
 
7.1%
p 13
 
6.6%
c 12
 
6.1%
o 12
 
6.1%
a 11
 
5.6%
i 10
 
5.1%
m 9
 
4.6%
Other values (11) 45
22.8%
Common
ValueCountFrequency (%)
. 28
40.6%
/ 24
34.8%
: 11
 
15.9%
1 2
 
2.9%
3 1
 
1.4%
8 1
 
1.4%
2 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 29
 
10.9%
. 28
 
10.5%
t 26
 
9.8%
/ 24
 
9.0%
h 16
 
6.0%
r 14
 
5.3%
p 13
 
4.9%
c 12
 
4.5%
o 12
 
4.5%
: 11
 
4.1%
Other values (19) 81
30.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
Minimum2020-10-27 00:00:00
Maximum2020-10-27 00:00:00
2024-04-21T16:43:36.308780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:43:36.602436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-21T16:43:36.832838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.0001.0000.0000.0000.0000.8851.0001.0001.0000.7530.7531.000
주된목적1.0000.0001.0001.0000.6470.0960.0000.9441.0001.0001.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)여부1.0000.0000.6471.0001.0000.0000.000NaN1.0001.0001.0000.9030.9031.000
예비형태1.0000.0000.0961.0000.0001.0000.000NaN1.0001.0001.0001.0001.0001.000
부처형태1.0000.0000.0001.0000.0000.0001.0000.0001.0001.0001.0001.0001.0001.000
인증(지정)일자1.0000.8850.9441.000NaNNaN0.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0000.7531.0001.0000.9031.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0000.7531.0001.0000.9031.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-21T16:43:37.191693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증(지정)여부부처형태예비형태사회서비스분야주된목적
인증(지정)여부1.0000.0000.0000.0000.434
부처형태0.0001.0000.0000.0000.000
예비형태0.0000.0001.0000.0000.026
사회서비스분야0.0000.0000.0001.0000.000
주된목적0.4340.0000.0260.0001.000
2024-04-21T16:43:37.460153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적인증(지정)여부예비형태부처형태
사회서비스분야1.0000.0000.0000.0000.000
주된목적0.0001.0000.4340.0260.000
인증(지정)여부0.0000.4341.0000.0000.000
예비형태0.0000.0260.0001.0000.000
부처형태0.0000.0000.0000.0001.000

Missing values

2024-04-21T16:43:16.241576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:43:16.860208image/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.
2024-04-21T16:43:17.258449image/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

기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0(사)대구위드기타일자리제공형각종인쇄, 광고홍보물 기획 및 제작YY02010-05-26제2010-013호손준영053-527-4341대구광역시 달서구 감삼남길 91(감삼동)대구광역시 달서구 감삼동 159-4http://www.ewithwith.com2020-10-27
1(주)햇빛나들이예술·관광일자리제공형거동불편자 야외활동 지원 서비스YY02010-10-20제2010-098호박종호053-634-0029대구광역시 달서구 송현로 113대구광역시 달서구 송현동 977-2http://www.hbnuri.com2020-10-27
2(주)늘푸르미기타일자리제공형밑반찬, 도시락YY02010-10-20제2010-100호최미양<NA>대구광역시 달서구 송현로 113대구광역시 달서구 송현동 977-2<NA>2020-10-27
3(사)색동회 대구지회기타일자리제공형동화구연, 동극지도자 양성·파견사업YY02010-10-20제2010-099호한미자053-653-7995대구광역시 달서구 명덕로 17(두류동)대구광역시 달서구 두류동 1192-67http://www.ilovesd.kr2020-10-27
4(주)행복한세상청소일자리제공형건물종합관리업(청소, 방역, 경비)YY02011-10-28제2011-083호전순례, 신혜영053-524-1231대구광역시 달서구 와룡로43길 70(용산동)대구광역시 달서구 용산동 898-7http://hbdaegu.co.kr/2020-10-27
5(주)나눔크로바환경일자리제공형차량 친환경토탈크리닝, 소독YY02012-04-30제2012-015호성기수, 정문옥053-639-7114대구광역시 달서구 송현로16길 95(송현동)대구광역시 달서구 송현동 1907-3http://www.nanumclovermall.co.kr2020-10-27
6(주)한국스포츠산업개발원기타혼합형운동 여가 교육서비스YY02012-06-22제2012-019호최미옥053-622-2855대구광역시 달서구 학산로 17(월성동)대구광역시 달서구 월성동 89-2<NA>2020-10-27
7(재)대구행복한학교재단기타사회서비스제공형방과후학교 사업 지원YY02012-12-14제2012-117호홍순주053-255-2577대구광역시 달서구 명덕로 22-9(두류동)대구광역시 달서구 두류동 1202-1<NA>2020-10-27
8㈜커스프기타일자리제공형현수막 및 인쇄물 디자인 등YY02013-07-11제2013-086호전희찬053-651-9334대구광역시 달서구 월곡로 100길 17대구광역시 달서구 월성동 1794-10http://www.ppia.co.kr2020-10-27
9(주)착한기업행복한수라상기타지역사회공헌형도시락, 밑반찬 판매 및 음식사업YY02014-12-16제2014-230호이점조053-525-7071대구광역시 달서구 달구벌대로 245길 33,(이곡동)대구광역시 달서구 이곡동 575-14<NA>2020-10-27
기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
22㈜문화교육창작소 봄 (고용노동부)기타혼합형가족소통 교육서비스 및 교재 교구, 기트 판매NN0<NA>고용부 2019-030윤미경070-8827-1828대구광역시 달서구 와룡로15길 91대구광역시 달서구 본리동 560-1http://navruta24.co.kr2020-10-27
23㈜제이엔디코스메틱(고용노동부)기타혼합형화장품 및 한방 입욕제 제조 등NY0<NA>제2019-039호박종원<NA>대구광역시 달서구 성서공단남로 37대구광역시 달서구 월암동 1-224<NA>2020-10-27
24㈜예섬(고용노동부)기타혼합형노인전문 재활운동 서비스 제공NN0<NA>고용부 2019-195박지현053-633-1003대구광역시 달서구 달서대로 4대구광역시 달서구 유천동 353<NA>2020-10-27
25㈜꽃파는 사람들기타혼합형관엽, 난, 생화 등 도.소매NY0<NA>제2020-004호이종화053-556-9510대구광역시 달서구 와룡로 57길 22, 203호대구광역시 달서구 죽전동 365-18<NA>2020-10-27
26㈜애픽기타혼합형컴퓨터 시스템 통합자문 및 구축관리 등NY0<NA>제2020-005호김종민053-629-3335대구광역시 달서구 밤골길 15, 206호대구광역시 달서구 두류동 77-15<NA>2020-10-27
27㈜커뮤니티 사회교육원기타일자리제공형법정의무교육, 교구교재 개발, 장애용구, 기술연구 및 개발 등NY0<NA>제2020-006호이수민053-565-8864대구광역시 달서구 와룡로 221대구광역시 달서구 죽전동 257-9<NA>2020-10-27
28㈜디에스그룹기타일자리제공형복싱 및 헬스 체육관 운영, ?O아가는 운동케어 서비스NY0<NA>제2020-018호정희준053-244-7360대구광역시 달서구 달구벌대로 1328, 3.4층대구광역시 달서구 이곡동 1000-125<NA>2020-10-27
29㈜하이푸드기타일자리제공형반찬 제조 및 판매NY0<NA>제2020-019호황인정053-525-5545대구광역시 달서구 용산로 253대구광역시 달서구 용산동 918<NA>2020-10-27
30㈜하이푸드기타일자리제공형반찬 제조 및 판매NY0<NA>제2020-019호황인정053-525-5545대구광역시 달서구 용산로 253대구광역시 달서구 용산동 918<NA>2020-10-27
31㈜하이푸드기타일자리제공형반찬 제조 및 판매NY0<NA>제2020-019호황인정053-525-5545대구광역시 달서구 용산로 253대구광역시 달서구 용산동 918<NA>2020-10-27

Duplicate rows

Most frequently occurring

기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자# duplicates
0㈜하이푸드기타일자리제공형반찬 제조 및 판매NY0<NA>제2020-019호황인정053-525-5545대구광역시 달서구 용산로 253대구광역시 달서구 용산동 918<NA>2020-10-273