Overview

Dataset statistics

Number of variables32
Number of observations64
Missing cells793
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory277.1 B

Variable types

Numeric5
Categorical9
Text4
DateTime3
Unsupported11

Dataset

Description24년03월_6270000_대구광역시_11_49_01_P_요양보호사교육기관
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106552&dataSetDetailId=DDI_0000106580&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
인허가취소일자 has 64 (100.0%) missing valuesMissing
폐업일자 has 32 (50.0%) missing valuesMissing
휴업시작일자 has 64 (100.0%) missing valuesMissing
휴업종료일자 has 64 (100.0%) missing valuesMissing
재개업일자 has 64 (100.0%) missing valuesMissing
소재지면적 has 64 (100.0%) missing valuesMissing
소재지우편번호 has 64 (100.0%) missing valuesMissing
도로명전체주소 has 3 (4.7%) missing valuesMissing
도로명우편번호 has 32 (50.0%) missing valuesMissing
업태구분명 has 64 (100.0%) missing valuesMissing
좌표정보(X) has 11 (17.2%) missing valuesMissing
좌표정보(Y) has 11 (17.2%) missing valuesMissing
보유자격증명 has 64 (100.0%) missing valuesMissing
국비지원여부 has 64 (100.0%) missing valuesMissing
담당직원내용 has 64 (100.0%) missing valuesMissing
삭제일자 has 64 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지전체주소 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보유자격증명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
국비지원여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
담당직원내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
삭제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 12:14:37.640862
Analysis finished2024-04-29 12:14:38.234138
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-29T21:14:38.315331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2024-04-29T21:14:38.472641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
요양보호사교육기관
64 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
요양보호사교육기관 64
100.0%

Length

2024-04-29T21:14:38.634915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:38.744741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양보호사교육기관 64
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
11_49_01_P
64 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_49_01_P
2nd row11_49_01_P
3rd row11_49_01_P
4th row11_49_01_P
5th row11_49_01_P

Common Values

ValueCountFrequency (%)
11_49_01_P 64
100.0%

Length

2024-04-29T21:14:38.881182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:38.983704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_49_01_p 64
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
6270000
64 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 64
100.0%

Length

2024-04-29T21:14:39.097587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:39.242919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 64
100.0%

관리번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-04-29T21:14:39.421976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters1728
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

Unique64 ?
Unique (%)100.0%

Sample

1st row201562700000040001-20150305
2nd row201062700000040009-20100621
3rd row201962700000040001-20191120
4th row201062700000040023-20100721
5th row201162700000040060-20110222
ValueCountFrequency (%)
201562700000040001-20150305 1
 
1.6%
201062700000040009-20100621 1
 
1.6%
201062700000040026-20100730 1
 
1.6%
201062700000040017-20100712 1
 
1.6%
201062700000040002-20100607 1
 
1.6%
201062700000040005-20100609 1
 
1.6%
201062700000040007-20100615 1
 
1.6%
201062700000040011-20100628 1
 
1.6%
201062700000040012-20100706 1
 
1.6%
201062700000040013-20100706 1
 
1.6%
Other values (54) 54
84.4%
2024-04-29T21:14:39.755122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 862
49.9%
2 237
 
13.7%
1 195
 
11.3%
7 96
 
5.6%
6 87
 
5.0%
4 81
 
4.7%
- 64
 
3.7%
5 28
 
1.6%
3 28
 
1.6%
8 26
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1664
96.3%
Dash Punctuation 64
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 862
51.8%
2 237
 
14.2%
1 195
 
11.7%
7 96
 
5.8%
6 87
 
5.2%
4 81
 
4.9%
5 28
 
1.7%
3 28
 
1.7%
8 26
 
1.6%
9 24
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 862
49.9%
2 237
 
13.7%
1 195
 
11.3%
7 96
 
5.6%
6 87
 
5.0%
4 81
 
4.7%
- 64
 
3.7%
5 28
 
1.6%
3 28
 
1.6%
8 26
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 862
49.9%
2 237
 
13.7%
1 195
 
11.3%
7 96
 
5.6%
6 87
 
5.0%
4 81
 
4.7%
- 64
 
3.7%
5 28
 
1.6%
3 28
 
1.6%
8 26
 
1.5%

인허가일자
Date

Distinct35
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2010-06-03 00:00:00
Maximum2019-11-20 00:00:00
2024-04-29T21:14:39.896308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:14:40.027878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
1
32 
3
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 32
50.0%
3 32
50.0%

Length

2024-04-29T21:14:40.167514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:40.267282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
50.0%
3 32
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업/정상
32 
폐업
32 

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 32
50.0%
폐업 32
50.0%

Length

2024-04-29T21:14:40.371686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:40.479461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
50.0%
폐업 32
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
32 
1
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
50.0%
1 32
50.0%

Length

2024-04-29T21:14:40.601375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:40.692588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
50.0%
1 32
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
운영
32 
폐지
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영
2nd row폐지
3rd row운영
4th row운영
5th row운영

Common Values

ValueCountFrequency (%)
운영 32
50.0%
폐지 32
50.0%

Length

2024-04-29T21:14:40.795712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:40.889223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 32
50.0%
폐지 32
50.0%

폐업일자
Date

MISSING 

Distinct32
Distinct (%)100.0%
Missing32
Missing (%)50.0%
Memory size644.0 B
Minimum2010-07-07 00:00:00
Maximum2018-04-05 00:00:00
2024-04-29T21:14:40.985427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:14:41.108321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소재지전화
Real number (ℝ)

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3664024 × 108
Minimum5.3252393 × 108
Maximum5.4383719 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-29T21:14:41.424873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3252393 × 108
5-th percentile5.3262249 × 108
Q15.3525401 × 108
median5.3644044 × 108
Q35.3785997 × 108
95-th percentile5.397843 × 108
Maximum5.4383719 × 108
Range11313262
Interquartile range (IQR)2605962.2

Descriptive statistics

Standard deviation2540167.8
Coefficient of variation (CV)0.0047334651
Kurtosis0.44763862
Mean5.3664024 × 108
Median Absolute Deviation (MAD)1243364
Skewness0.47085425
Sum3.4344975 × 1010
Variance6.4524525 × 1012
MonotonicityNot monotonic
2024-04-29T21:14:41.581171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
537555578 2
 
3.1%
539398847 2
 
3.1%
543837189 1
 
1.6%
543837139 1
 
1.6%
539848233 1
 
1.6%
537450755 1
 
1.6%
533417080 1
 
1.6%
536347813 1
 
1.6%
536290093 1
 
1.6%
539619182 1
 
1.6%
Other values (52) 52
81.2%
ValueCountFrequency (%)
532523927 1
1.6%
532557222 1
1.6%
532561339 1
1.6%
532564020 1
1.6%
532953838 1
1.6%
533131195 1
1.6%
533139113 1
1.6%
533201028 1
1.6%
533201286 1
1.6%
533234119 1
1.6%
ValueCountFrequency (%)
543837189 1
1.6%
543837139 1
1.6%
539848233 1
1.6%
539812022 1
1.6%
539627227 1
1.6%
539619182 1
1.6%
539612666 1
1.6%
539597141 1
1.6%
539555778 1
1.6%
539525080 1
1.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소재지전체주소
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-04-29T21:14:41.883663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length23.84375
Min length17

Characters and Unicode

Total characters1526
Distinct characters98
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

Unique64 ?
Unique (%)100.0%

Sample

1st row대구광역시 군위군 군위읍 서부리 18-1
2nd row대구광역시 달서구 용산1동 208번지 25호
3rd row대구광역시 동구 각산동 1034-1 효성빌딩
4th row대구광역시 수성구 만촌동 851-8
5th row대구광역시 수성구 지산동 1160-59
ValueCountFrequency (%)
대구광역시 64
 
21.1%
동구 13
 
4.3%
달서구 13
 
4.3%
북구 9
 
3.0%
서구 7
 
2.3%
수성구 7
 
2.3%
중구 6
 
2.0%
2호 6
 
2.0%
1호 5
 
1.7%
달성군 4
 
1.3%
Other values (145) 169
55.8%
2024-04-29T21:14:42.336060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
364
23.9%
구 123
 
8.1%
대 72
 
4.7%
동 69
 
4.5%
시 66
 
4.3%
광 64
 
4.2%
역 64
 
4.2%
1 52
 
3.4%
지 52
 
3.4%
번 50
 
3.3%
Other values (88) 550
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 849
55.6%
Space Separator 364
23.9%
Decimal Number 292
 
19.1%
Dash Punctuation 21
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 123
14.5%
대 72
 
8.5%
동 69
 
8.1%
시 66
 
7.8%
광 64
 
7.5%
역 64
 
7.5%
지 52
 
6.1%
번 50
 
5.9%
호 35
 
4.1%
서 23
 
2.7%
Other values (76) 231
27.2%
Decimal Number
ValueCountFrequency (%)
1 52
17.8%
5 38
13.0%
2 37
12.7%
4 34
11.6%
3 28
9.6%
8 27
9.2%
7 21
7.2%
0 21
7.2%
6 18
 
6.2%
9 16
 
5.5%
Space Separator
ValueCountFrequency (%)
364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 849
55.6%
Common 677
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 123
14.5%
대 72
 
8.5%
동 69
 
8.1%
시 66
 
7.8%
광 64
 
7.5%
역 64
 
7.5%
지 52
 
6.1%
번 50
 
5.9%
호 35
 
4.1%
서 23
 
2.7%
Other values (76) 231
27.2%
Common
ValueCountFrequency (%)
364
53.8%
1 52
 
7.7%
5 38
 
5.6%
2 37
 
5.5%
4 34
 
5.0%
3 28
 
4.1%
8 27
 
4.0%
7 21
 
3.1%
- 21
 
3.1%
0 21
 
3.1%
Other values (2) 34
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 849
55.6%
ASCII 677
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
364
53.8%
1 52
 
7.7%
5 38
 
5.6%
2 37
 
5.5%
4 34
 
5.0%
3 28
 
4.1%
8 27
 
4.0%
7 21
 
3.1%
- 21
 
3.1%
0 21
 
3.1%
Other values (2) 34
 
5.0%
Hangul
ValueCountFrequency (%)
구 123
14.5%
대 72
 
8.5%
동 69
 
8.1%
시 66
 
7.8%
광 64
 
7.5%
역 64
 
7.5%
지 52
 
6.1%
번 50
 
5.9%
호 35
 
4.1%
서 23
 
2.7%
Other values (76) 231
27.2%

도로명전체주소
Text

MISSING 

Distinct61
Distinct (%)100.0%
Missing3
Missing (%)4.7%
Memory size644.0 B
2024-04-29T21:14:42.684726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length25.42623
Min length20

Characters and Unicode

Total characters1551
Distinct characters126
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

Unique61 ?
Unique (%)100.0%

Sample

1st row대구광역시 군위군 군위읍 중앙6길 4
2nd row대구광역시 달서구 달구벌대로305길 3 (용산동)
3rd row대구광역시 동구 이노밸리로26길 23, 효성빌딩 2층 (각산동)
4th row대구광역시 수성구 달구벌대로528길 16 (만촌동)
5th row대구광역시 수성구 지범로 53-8, 5층 (지산동)
ValueCountFrequency (%)
대구광역시 61
 
18.8%
달서구 13
 
4.0%
동구 12
 
3.7%
달구벌대로 11
 
3.4%
북구 8
 
2.5%
수성구 7
 
2.2%
서구 7
 
2.2%
중구 6
 
1.9%
5층 5
 
1.5%
신암동 4
 
1.2%
Other values (160) 190
58.6%
2024-04-29T21:14:43.109987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
17.0%
구 132
 
8.5%
대 88
 
5.7%
동 75
 
4.8%
시 63
 
4.1%
역 61
 
3.9%
광 61
 
3.9%
로 61
 
3.9%
( 56
 
3.6%
) 56
 
3.6%
Other values (116) 635
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 937
60.4%
Space Separator 263
 
17.0%
Decimal Number 217
 
14.0%
Open Punctuation 56
 
3.6%
Close Punctuation 56
 
3.6%
Other Punctuation 18
 
1.2%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 132
14.1%
대 88
 
9.4%
동 75
 
8.0%
시 63
 
6.7%
역 61
 
6.5%
광 61
 
6.5%
로 61
 
6.5%
달 33
 
3.5%
서 26
 
2.8%
성 16
 
1.7%
Other values (101) 321
34.3%
Decimal Number
ValueCountFrequency (%)
2 35
16.1%
1 34
15.7%
4 24
11.1%
5 23
10.6%
3 23
10.6%
6 21
9.7%
8 16
7.4%
0 16
7.4%
7 16
7.4%
9 9
 
4.1%
Space Separator
ValueCountFrequency (%)
263
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 937
60.4%
Common 614
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 132
14.1%
대 88
 
9.4%
동 75
 
8.0%
시 63
 
6.7%
역 61
 
6.5%
광 61
 
6.5%
로 61
 
6.5%
달 33
 
3.5%
서 26
 
2.8%
성 16
 
1.7%
Other values (101) 321
34.3%
Common
ValueCountFrequency (%)
263
42.8%
( 56
 
9.1%
) 56
 
9.1%
2 35
 
5.7%
1 34
 
5.5%
4 24
 
3.9%
5 23
 
3.7%
3 23
 
3.7%
6 21
 
3.4%
, 18
 
2.9%
Other values (5) 61
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 937
60.4%
ASCII 614
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
42.8%
( 56
 
9.1%
) 56
 
9.1%
2 35
 
5.7%
1 34
 
5.5%
4 24
 
3.9%
5 23
 
3.7%
3 23
 
3.7%
6 21
 
3.4%
, 18
 
2.9%
Other values (5) 61
 
9.9%
Hangul
ValueCountFrequency (%)
구 132
14.1%
대 88
 
9.4%
동 75
 
8.0%
시 63
 
6.7%
역 61
 
6.5%
광 61
 
6.5%
로 61
 
6.5%
달 33
 
3.5%
서 26
 
2.8%
성 16
 
1.7%
Other values (101) 321
34.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)28.1%
Missing32
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean27267.812
Minimum27110
Maximum27720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-29T21:14:43.218914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27110
5-th percentile27126.5
Q127140
median27230
Q327290
95-th percentile27710
Maximum27720
Range610
Interquartile range (IQR)150

Descriptive statistics

Standard deviation180.96042
Coefficient of variation (CV)0.0066364113
Kurtosis2.531956
Mean27267.812
Median Absolute Deviation (MAD)60
Skewness1.8829237
Sum872570
Variance32746.673
MonotonicityNot monotonic
2024-04-29T21:14:43.314673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
27140 7
 
10.9%
27290 6
 
9.4%
27170 5
 
7.8%
27260 4
 
6.2%
27230 3
 
4.7%
27710 3
 
4.7%
27110 2
 
3.1%
27720 1
 
1.6%
27200 1
 
1.6%
(Missing) 32
50.0%
ValueCountFrequency (%)
27110 2
 
3.1%
27140 7
10.9%
27170 5
7.8%
27200 1
 
1.6%
27230 3
4.7%
27260 4
6.2%
27290 6
9.4%
27710 3
4.7%
27720 1
 
1.6%
ValueCountFrequency (%)
27720 1
 
1.6%
27710 3
4.7%
27290 6
9.4%
27260 4
6.2%
27230 3
4.7%
27200 1
 
1.6%
27170 5
7.8%
27140 7
10.9%
27110 2
 
3.1%

사업장명
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-04-29T21:14:43.529655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21.5
Mean length12.1875
Min length10

Characters and Unicode

Total characters780
Distinct characters110
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

Unique62 ?
Unique (%)96.9%

Sample

1st row군위요양보호사교육기관
2nd row대구실버요양보호사교육원
3rd row혁신1요양보호사교육원
4th row수성대학교부설요양보호사교육원장
5th row지산요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 5
 
7.0%
진명요양보호사교육원 2
 
2.8%
대한간호학원부설 1
 
1.4%
대구한의대학교부설요양보호사교육원 1
 
1.4%
효성요양보호사교육원 1
 
1.4%
대구시니어체험관요양보호사교육원 1
 
1.4%
대구비전요양보호사교육원 1
 
1.4%
현풍요양보호사교육원 1
 
1.4%
동구요양보호사교육원 1
 
1.4%
중앙요양보호사교육원 1
 
1.4%
Other values (56) 56
78.9%
2024-04-29T21:14:43.889042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 71
 
9.1%
원 70
 
9.0%
사 69
 
8.8%
호 68
 
8.7%
육 66
 
8.5%
보 65
 
8.3%
요 64
 
8.2%
양 64
 
8.2%
대 23
 
2.9%
구 14
 
1.8%
Other values (100) 206
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 766
98.2%
Space Separator 7
 
0.9%
Uppercase Letter 6
 
0.8%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 71
 
9.3%
원 70
 
9.1%
사 69
 
9.0%
호 68
 
8.9%
육 66
 
8.6%
보 65
 
8.5%
요 64
 
8.4%
양 64
 
8.4%
대 23
 
3.0%
구 14
 
1.8%
Other values (92) 192
25.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
16.7%
M 1
16.7%
C 1
16.7%
W 1
16.7%
Y 1
16.7%
G 1
16.7%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 766
98.2%
Common 8
 
1.0%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 71
 
9.3%
원 70
 
9.1%
사 69
 
9.0%
호 68
 
8.9%
육 66
 
8.6%
보 65
 
8.5%
요 64
 
8.4%
양 64
 
8.4%
대 23
 
3.0%
구 14
 
1.8%
Other values (92) 192
25.1%
Latin
ValueCountFrequency (%)
A 1
16.7%
M 1
16.7%
C 1
16.7%
W 1
16.7%
Y 1
16.7%
G 1
16.7%
Common
ValueCountFrequency (%)
7
87.5%
1 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 766
98.2%
ASCII 14
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 71
 
9.3%
원 70
 
9.1%
사 69
 
9.0%
호 68
 
8.9%
육 66
 
8.6%
보 65
 
8.5%
요 64
 
8.4%
양 64
 
8.4%
대 23
 
3.0%
구 14
 
1.8%
Other values (92) 192
25.1%
ASCII
ValueCountFrequency (%)
7
50.0%
A 1
 
7.1%
M 1
 
7.1%
C 1
 
7.1%
W 1
 
7.1%
1 1
 
7.1%
Y 1
 
7.1%
G 1
 
7.1%

최종수정시점
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2011-10-31 09:56:02
Maximum2024-03-06 09:25:05
2024-04-29T21:14:44.018712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:14:44.144464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
I
33 
U
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
I 33
51.6%
U 31
48.4%

Length

2024-04-29T21:14:44.266259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:14:44.359329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
51.6%
u 31
48.4%

데이터갱신일자
Categorical

Distinct30
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
2018-08-31 23:59:59
31 
2020-07-05 02:40:00
 
3
2023-05-26 08:48:36
 
2
2023-11-25 02:40:00
 
2
2020-09-17 02:40:00
 
1
Other values (25)
25 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique26 ?
Unique (%)40.6%

Sample

1st row2023-07-13 02:40:00
2nd row2018-08-31 23:59:59
3rd row2019-11-22 00:23:20
4th row2023-03-09 02:40:00
5th row2021-03-12 02:40:00

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 31
48.4%
2020-07-05 02:40:00 3
 
4.7%
2023-05-26 08:48:36 2
 
3.1%
2023-11-25 02:40:00 2
 
3.1%
2020-09-17 02:40:00 1
 
1.6%
2019-11-22 00:23:20 1
 
1.6%
2023-03-09 02:40:00 1
 
1.6%
2021-03-12 02:40:00 1
 
1.6%
2021-11-20 02:40:00 1
 
1.6%
2021-04-18 02:40:00 1
 
1.6%
Other values (20) 20
31.2%

Length

2024-04-29T21:14:44.450468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 31
24.2%
23:59:59 31
24.2%
02:40:00 29
22.7%
2020-07-05 3
 
2.3%
2023-05-26 2
 
1.6%
08:48:36 2
 
1.6%
2023-11-25 2
 
1.6%
2023-05-17 1
 
0.8%
2023-11-03 1
 
0.8%
2021-11-07 1
 
0.8%
Other values (25) 25
19.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing11
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean343121.95
Minimum330171.96
Maximum354646.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-29T21:14:44.569733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330171.96
5-th percentile335239.11
Q1339846.86
median342696.55
Q3346399.56
95-th percentile353043.01
Maximum354646.87
Range24474.915
Interquartile range (IQR)6552.7068

Descriptive statistics

Standard deviation5351.301
Coefficient of variation (CV)0.015595916
Kurtosis0.13512552
Mean343121.95
Median Absolute Deviation (MAD)2900.0748
Skewness0.13854071
Sum18185464
Variance28636423
MonotonicityNot monotonic
2024-04-29T21:14:44.692167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335659.58156696 1
 
1.6%
342696.551781891 1
 
1.6%
353773.579110807 1
 
1.6%
332174.655720047 1
 
1.6%
330171.957223051 1
 
1.6%
344397.008119195 1
 
1.6%
346984.268417669 1
 
1.6%
346971.046144383 1
 
1.6%
342690.448059121 1
 
1.6%
345209.026923955 1
 
1.6%
Other values (43) 43
67.2%
(Missing) 11
 
17.2%
ValueCountFrequency (%)
330171.957223051 1
1.6%
332174.655720047 1
1.6%
334608.392591771 1
1.6%
335659.58156696 1
1.6%
335798.065946087 1
1.6%
336254.293551244 1
1.6%
337727.868406505 1
1.6%
338451.367969223 1
1.6%
338755.615991346 1
1.6%
339155.836777199 1
1.6%
ValueCountFrequency (%)
354646.872204522 1
1.6%
353773.579110807 1
1.6%
353153.647607486 1
1.6%
352969.246205054 1
1.6%
352877.432494478 1
1.6%
350719.016434695 1
1.6%
350381.105340231 1
1.6%
347900.626196049 1
1.6%
347570.164311418 1
1.6%
347097.831813036 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing11
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean264467.83
Minimum244870.43
Maximum305476.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-29T21:14:44.834973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244870.43
5-th percentile257735.81
Q1262252.2
median263942.81
Q3265422.15
95-th percentile271359.85
Maximum305476.29
Range60605.856
Interquartile range (IQR)3169.9527

Descriptive statistics

Standard deviation7049.3254
Coefficient of variation (CV)0.026654756
Kurtosis22.996829
Mean264467.83
Median Absolute Deviation (MAD)1671.8829
Skewness3.5078184
Sum14016795
Variance49692988
MonotonicityNot monotonic
2024-04-29T21:14:44.951065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257148.656334753 1
 
1.6%
260967.7180447 1
 
1.6%
264977.020735774 1
 
1.6%
263177.257885108 1
 
1.6%
244870.429000905 1
 
1.6%
263942.811211667 1
 
1.6%
265282.301232612 1
 
1.6%
265744.422597882 1
 
1.6%
261078.394208697 1
 
1.6%
260921.194853755 1
 
1.6%
Other values (43) 43
67.2%
(Missing) 11
 
17.2%
ValueCountFrequency (%)
244870.429000905 1
1.6%
257133.181404594 1
1.6%
257148.656334753 1
1.6%
258127.250702509 1
1.6%
259706.96915619 1
1.6%
260780.257310267 1
1.6%
260817.193931334 1
1.6%
260921.194853755 1
1.6%
260967.7180447 1
1.6%
261078.394208697 1
1.6%
ValueCountFrequency (%)
305476.285459182 1
1.6%
272275.286732303 1
1.6%
271808.175858601 1
1.6%
271060.967954513 1
1.6%
270978.841723686 1
1.6%
267685.117047812 1
1.6%
267409.500843162 1
1.6%
266459.610194452 1
1.6%
266373.010990849 1
1.6%
265868.677682431 1
1.6%

보유자격증명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

국비지원여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

담당직원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)보유자격증명국비지원여부담당직원내용삭제일자
01요양보호사교육기관11_49_01_P6270000201562700000040001-201503052015-03-05<NA>1영업/정상0운영<NA><NA><NA><NA>543837189<NA><NA>대구광역시 군위군 군위읍 서부리 18-1대구광역시 군위군 군위읍 중앙6길 427720군위요양보호사교육기관2023-07-11 14:53:24U2023-07-13 02:40:00<NA>340874.000454305476.285459<NA><NA><NA><NA>
12요양보호사교육기관11_49_01_P6270000201062700000040009-201006212010-06-21<NA>3폐업1폐지2010-07-07<NA><NA><NA>536521600<NA><NA>대구광역시 달서구 용산1동 208번지 25호대구광역시 달서구 달구벌대로305길 3 (용산동)27290대구실버요양보호사교육원2011-10-31 13:27:16I2018-08-31 23:59:59<NA>338451.367969262192.548701<NA><NA><NA><NA>
23요양보호사교육기관11_49_01_P6270000201962700000040001-201911202019-11-20<NA>1영업/정상0운영<NA><NA><NA><NA>537194086<NA><NA>대구광역시 동구 각산동 1034-1 효성빌딩대구광역시 동구 이노밸리로26길 23, 효성빌딩 2층 (각산동)27140혁신1요양보호사교육원2019-11-20 17:53:21I2019-11-22 00:23:20<NA>354646.872205265614.694082<NA><NA><NA><NA>
34요양보호사교육기관11_49_01_P6270000201062700000040023-201007212010-07-21<NA>1영업/정상0운영<NA><NA><NA><NA>537497199<NA><NA>대구광역시 수성구 만촌동 851-8대구광역시 수성구 달구벌대로528길 16 (만촌동)<NA>수성대학교부설요양보호사교육원장2023-03-07 16:25:28U2023-03-09 02:40:00<NA><NA><NA><NA><NA><NA><NA>
45요양보호사교육기관11_49_01_P6270000201162700000040060-201102222011-02-22<NA>1영업/정상0운영<NA><NA><NA><NA>537840731<NA><NA>대구광역시 수성구 지산동 1160-59대구광역시 수성구 지범로 53-8, 5층 (지산동)27260지산요양보호사교육원2021-03-10 11:40:13U2021-03-12 02:40:00<NA>347097.831813259706.969156<NA><NA><NA><NA>
56요양보호사교육기관11_49_01_P6270000201062700000040001-201006032010-06-03<NA>1영업/정상0운영<NA><NA><NA><NA>539521141<NA><NA>대구광역시 동구 신암동 593-5 우진빌딩대구광역시 동구 아양로 39, 우진빌딩 7층 (신암동)<NA>섬기미요양보호사교육원2021-11-18 16:05:21U2021-11-20 02:40:00<NA><NA><NA><NA><NA><NA><NA>
67요양보호사교육기관11_49_01_P6270000201062700000040003-201006072010-06-07<NA>1영업/정상0운영<NA><NA><NA><NA>535255155<NA><NA>대구광역시 서구 비산4동 335번지 2호대구광역시 서구 국채보상로 354-1 (비산동)<NA>대경요양보호사교육원2021-04-16 09:20:16U2021-04-18 02:40:00<NA>341700.077606264674.587855<NA><NA><NA><NA>
78요양보호사교육기관11_49_01_P6270000201062700000040004-201006092010-06-09<NA>1영업/정상0운영<NA><NA><NA><NA>532561339<NA><NA>대구광역시 중구 남산2동 536번지대구광역시 중구 달구벌대로 2076 (남산동)<NA>경북베델요양보호사교육원2022-04-25 14:34:27U2022-04-27 02:40:00<NA>343600.303223263999.184718<NA><NA><NA><NA>
89요양보호사교육기관11_49_01_P6270000201062700000040010-201006282010-06-28<NA>1영업/정상0운영<NA><NA><NA><NA>539525080<NA><NA>대구광역시 동구 신천동 522-3대구광역시 동구 동부로 40 (신천동)<NA>신암요양보호사교육원2023-11-23 10:39:10U2023-11-25 02:40:00<NA><NA><NA><NA><NA><NA><NA>
910요양보호사교육기관11_49_01_P6270000201062700000040014-201007062010-07-06<NA>1영업/정상0운영<NA><NA><NA><NA>533131195<NA><NA>대구광역시 북구 읍내동 947-4대구광역시 북구 칠곡중앙대로 508, 5층 (읍내동)27230대한요양보호사교육원2024-03-06 09:25:05U2024-03-08 02:40:00<NA>339846.856342272275.286732<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)보유자격증명국비지원여부담당직원내용삭제일자
5455요양보호사교육기관11_49_01_P6270000201062700000040051-201009272010-09-27<NA>3폐업1폐지2012-02-29<NA><NA><NA>535727755<NA><NA>대구광역시 서구 비산동 440번지 3호대구광역시 서구 달서로 137 (비산동)27170한마음요양보호사교육원2011-10-31 10:14:45I2018-08-31 23:59:59<NA>341789.647134264946.609756<NA><NA><NA><NA>
5556요양보호사교육기관11_49_01_P6270000201062700000040055-201010112010-10-11<NA>3폐업1폐지2011-01-13<NA><NA><NA>535917272<NA><NA>대구광역시 달서구 신당동 321번지 87호대구광역시 달서구 달구벌대로 1184 (신당동)27290성서인성요양보호사교육원2011-10-31 10:03:22I2018-08-31 23:59:59<NA>347094.706652263271.664853<NA><NA><NA><NA>
5657요양보호사교육기관11_49_01_P6270000201062700000040056-201010182010-10-18<NA>3폐업1폐지2011-06-16<NA><NA><NA>535517006<NA><NA>대구광역시 서구 내당동 458번지 55호대구광역시 서구 달구벌대로 1669 (내당동)27170광장요양보호사교육원2011-10-31 09:58:53I2018-08-31 23:59:59<NA>339796.476961262720.755306<NA><NA><NA><NA>
5758요양보호사교육기관11_49_01_P6270000201062700000040057-201010192010-10-19<NA>3폐업1폐지2011-11-30<NA><NA><NA>535732455<NA><NA>대구광역시 중구 남산2동 937번지 1호대구광역시 중구 달구벌대로 2088 (남산동)27110대한적십자사대구지사 요양보호사교육원2011-10-31 09:56:02I2018-08-31 23:59:59<NA>343680.0386263980.297093<NA><NA><NA><NA>
5859요양보호사교육기관11_49_01_P6270000201062700000040059-201012102010-12-10<NA>3폐업1폐지2012-09-20<NA><NA><NA>539398847<NA><NA>대구광역시 동구 신암5동 1544번지 1호대구광역시 동구 아양로49길 2 (신암동)27140진명요양보호사교육원2012-01-06 11:22:39I2018-08-31 23:59:59<NA>347900.626196266459.610194<NA><NA><NA><NA>
5960요양보호사교육기관11_49_01_P6270000201062700000040044-201008302010-08-30<NA>3폐업1폐지2012-09-21<NA><NA><NA>536511588<NA><NA>대구광역시 달서구 두류동 489-6번지대구광역시 달서구 달구벌대로 1726-16 (두류동)27290영남요양보호사교육원2011-10-31 10:28:10I2018-08-31 23:59:59<NA>340343.077953262853.732335<NA><NA><NA><NA>
6061요양보호사교육기관11_49_01_P6270000201062700000040043-201008302010-08-30<NA>3폐업1폐지2014-02-27<NA><NA><NA>536557337<NA><NA>대구광역시 서구 평리4동 1362번지 3호대구광역시 서구 서대구로 78 (평리동)27170리더스요양보호사교육원2014-03-17 08:54:43I2018-08-31 23:59:59<NA>340504.495486263863.595791<NA><NA><NA><NA>
6162요양보호사교육기관11_49_01_P6270000201062700000040028-201008112010-08-11<NA>3폐업1폐지2012-03-27<NA><NA><NA>536217756<NA><NA>대구광역시 달서구 성당1동 81번지 77호대구광역시 달서구 두류공원로28길 49 (성당동)27290성당요양보호사교육원2012-01-12 13:28:35I2018-08-31 23:59:59<NA>341661.063534262095.156079<NA><NA><NA><NA>
6263요양보호사교육기관11_49_01_P6270000201062700000040019-201007192010-07-19<NA>3폐업1폐지2012-03-30<NA><NA><NA>535218999<NA><NA>대구광역시 서구 평리1동 856번지 7호대구광역시 서구 문화로 283 (평리동)27170MG요양보호사교육원2012-01-17 13:44:10I2018-08-31 23:59:59<NA>341147.194089265114.92676<NA><NA><NA><NA>
6364요양보호사교육기관11_49_01_P6270000201062700000040006-201006112010-06-11<NA>1영업/정상0운영<NA><NA><NA><NA>535591004<NA><NA>대구광역시 서구 평리4동 1217번지 13호대구광역시 서구 국채보상로 264 (평리동)<NA>영남간호학원부설요양보호사교육원2020-07-03 09:26:32U2020-07-05 02:40:00<NA>340812.073007264557.264382<NA><NA><NA><NA>