Overview

Dataset statistics

Number of variables32
Number of observations62
Missing cells747
Missing cells (%)37.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.0 KiB
Average record size in memory280.1 B

Variable types

Numeric8
Categorical9
Text4
Unsupported11

Dataset

Description6270000_대구광역시_11_49_01_P_요양보호사교육기관_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085342&dataSetDetailId=DDI_0000085353&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
인허가취소일자 has 62 (100.0%) missing valuesMissing
폐업일자 has 31 (50.0%) missing valuesMissing
휴업시작일자 has 62 (100.0%) missing valuesMissing
휴업종료일자 has 62 (100.0%) missing valuesMissing
재개업일자 has 62 (100.0%) missing valuesMissing
소재지면적 has 62 (100.0%) missing valuesMissing
소재지우편번호 has 62 (100.0%) missing valuesMissing
도로명전체주소 has 2 (3.2%) missing valuesMissing
도로명우편번호 has 28 (45.2%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.2%) missing valuesMissing
좌표정보(Y) has 2 (3.2%) missing valuesMissing
보유자격증명 has 62 (100.0%) missing valuesMissing
국비지원여부 has 62 (100.0%) missing valuesMissing
담당직원내용 has 62 (100.0%) missing valuesMissing
삭제일자 has 62 (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 started2023-12-10 20:11:07.739204
Analysis finished2023-12-10 20:11:08.383182
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.5
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:08.500249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q116.25
median31.5
Q346.75
95-th percentile58.95
Maximum62
Range61
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.041619
Coefficient of variation (CV)0.5727498
Kurtosis-1.2
Mean31.5
Median Absolute Deviation (MAD)15.5
Skewness0
Sum1953
Variance325.5
MonotonicityStrictly increasing
2023-12-11T05:11:08.729259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
48 1
 
1.6%
35 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%
Other values (52) 52
83.9%
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 (%)
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%
54 1
1.6%
53 1
1.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
요양보호사교육기관
62 

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 62
100.0%

Length

2023-12-11T05:11:08.975603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:09.127847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양보호사교육기관 62
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
11_49_01_P
62 

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 62
100.0%

Length

2023-12-11T05:11:09.281891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:09.474327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_49_01_p 62
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
6270000
62 

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 62
100.0%

Length

2023-12-11T05:11:09.632713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:09.803411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 62
100.0%

관리번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T05:11:10.088808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters1674
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

Unique62 ?
Unique (%)100.0%

Sample

1st row201062700000040006-20100611
2nd row201062700000040002-20100607
3rd row201062700000040023-20100721
4th row201062700000040008-20100615
5th row201062700000040029-20100811
ValueCountFrequency (%)
201062700000040006-20100611 1
 
1.6%
201062700000040046-20100907 1
 
1.6%
201062700000040005-20100609 1
 
1.6%
201062700000040009-20100621 1
 
1.6%
201062700000040019-20100719 1
 
1.6%
201062700000040028-20100811 1
 
1.6%
201062700000040043-20100830 1
 
1.6%
201062700000040044-20100830 1
 
1.6%
201062700000040059-20101210 1
 
1.6%
201062700000040057-20101019 1
 
1.6%
Other values (52) 52
83.9%
2023-12-11T05:11:10.663429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 836
49.9%
2 230
 
13.7%
1 189
 
11.3%
7 94
 
5.6%
6 85
 
5.1%
4 79
 
4.7%
- 62
 
3.7%
3 27
 
1.6%
8 26
 
1.6%
9 24
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1612
96.3%
Dash Punctuation 62
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 836
51.9%
2 230
 
14.3%
1 189
 
11.7%
7 94
 
5.8%
6 85
 
5.3%
4 79
 
4.9%
3 27
 
1.7%
8 26
 
1.6%
9 24
 
1.5%
5 22
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1674
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 836
49.9%
2 230
 
13.7%
1 189
 
11.3%
7 94
 
5.6%
6 85
 
5.1%
4 79
 
4.7%
- 62
 
3.7%
3 27
 
1.6%
8 26
 
1.6%
9 24
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1674
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 836
49.9%
2 230
 
13.7%
1 189
 
11.3%
7 94
 
5.6%
6 85
 
5.1%
4 79
 
4.7%
- 62
 
3.7%
3 27
 
1.6%
8 26
 
1.6%
9 24
 
1.4%

인허가일자
Real number (ℝ)

Distinct33
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20102560
Minimum20100603
Maximum20191120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:10.979789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100603
5-th percentile20100609
Q120100712
median20100812
Q320100907
95-th percentile20101210
Maximum20191120
Range90517
Interquartile range (IQR)195

Descriptive statistics

Standard deviation11557.527
Coefficient of variation (CV)0.00057492813
Kurtosis59.213018
Mean20102560
Median Absolute Deviation (MAD)95
Skewness7.6280074
Sum1.2463587 × 109
Variance1.3357643 × 108
MonotonicityNot monotonic
2023-12-11T05:11:11.260961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20100823 4
 
6.5%
20100719 4
 
6.5%
20100811 4
 
6.5%
20100907 4
 
6.5%
20100825 4
 
6.5%
20100706 3
 
4.8%
20100712 3
 
4.8%
20100609 2
 
3.2%
20100628 2
 
3.2%
20100607 2
 
3.2%
Other values (23) 30
48.4%
ValueCountFrequency (%)
20100603 1
 
1.6%
20100607 2
3.2%
20100609 2
3.2%
20100611 1
 
1.6%
20100615 2
3.2%
20100621 1
 
1.6%
20100628 2
3.2%
20100706 3
4.8%
20100712 3
4.8%
20100719 4
6.5%
ValueCountFrequency (%)
20191120 1
1.6%
20110419 1
1.6%
20110222 1
1.6%
20101210 1
1.6%
20101202 1
1.6%
20101019 1
1.6%
20101018 1
1.6%
20101011 1
1.6%
20101001 2
3.2%
20100927 2
3.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
1
31 
3
31 

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 31
50.0%
3 31
50.0%

Length

2023-12-11T05:11:11.526367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:11.815306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
50.0%
3 31
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업/정상
31 
폐업
31 

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 31
50.0%
폐업 31
50.0%

Length

2023-12-11T05:11:12.013849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:12.238247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
50.0%
폐업 31
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
31 
1
31 

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 31
50.0%
1 31
50.0%

Length

2023-12-11T05:11:12.434021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:12.744756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
50.0%
1 31
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
운영
31 
폐지
31 

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 31
50.0%
폐지 31
50.0%

Length

2023-12-11T05:11:12.999288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:13.342921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 31
50.0%
폐지 31
50.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing31
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20124839
Minimum20100707
Maximum20180405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:13.646225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100707
5-th percentile20101217
Q120111128
median20120327
Q320130152
95-th percentile20170675
Maximum20180405
Range79698
Interquartile range (IQR)19024

Descriptive statistics

Standard deviation20653.118
Coefficient of variation (CV)0.0010262501
Kurtosis1.2967128
Mean20124839
Median Absolute Deviation (MAD)9711
Skewness1.3716434
Sum6.2387002 × 108
Variance4.2655127 × 108
MonotonicityNot monotonic
2023-12-11T05:11:14.049111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20150526 1
 
1.6%
20110104 1
 
1.6%
20111221 1
 
1.6%
20180405 1
 
1.6%
20121010 1
 
1.6%
20150212 1
 
1.6%
20121005 1
 
1.6%
20120116 1
 
1.6%
20130102 1
 
1.6%
20101203 1
 
1.6%
Other values (21) 21
33.9%
(Missing) 31
50.0%
ValueCountFrequency (%)
20100707 1
1.6%
20101203 1
1.6%
20101231 1
1.6%
20110104 1
1.6%
20110113 1
1.6%
20110328 1
1.6%
20110616 1
1.6%
20111125 1
1.6%
20111130 1
1.6%
20111214 1
1.6%
ValueCountFrequency (%)
20180405 1
1.6%
20170720 1
1.6%
20170630 1
1.6%
20150526 1
1.6%
20150212 1
1.6%
20140714 1
1.6%
20140227 1
1.6%
20130201 1
1.6%
20130102 1
1.6%
20121010 1
1.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지전화
Real number (ℝ)

Distinct60
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3640808 × 108
Minimum5.3252393 × 108
Maximum5.3984823 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:14.393922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3252393 × 108
5-th percentile5.3258351 × 108
Q15.3525171 × 108
median5.3635855 × 108
Q35.3769304 × 108
95-th percentile5.3961886 × 108
Maximum5.3984823 × 108
Range7324306
Interquartile range (IQR)2441330.2

Descriptive statistics

Standard deviation2216078.8
Coefficient of variation (CV)0.00413133
Kurtosis-0.86449141
Mean5.3640808 × 108
Median Absolute Deviation (MAD)1283617.5
Skewness-0.10135277
Sum3.3257301 × 1010
Variance4.9110052 × 1012
MonotonicityNot monotonic
2023-12-11T05:11:14.864091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
537555578 2
 
3.2%
539398847 2
 
3.2%
535591004 1
 
1.6%
539597141 1
 
1.6%
536521600 1
 
1.6%
535218999 1
 
1.6%
536217756 1
 
1.6%
536557337 1
 
1.6%
536511588 1
 
1.6%
535732455 1
 
1.6%
Other values (50) 50
80.6%
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 (%)
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%
539522356 1
1.6%
539521141 1
1.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지전체주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T05:11:15.519673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length24.483871
Min length17

Characters and Unicode

Total characters1518
Distinct characters102
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row대구광역시 서구 평리4동 1217번지 13호
2nd row대구광역시 수성구 수성동4가 1236번지 52호
3rd row대구광역시 수성구 만촌동 851번지 8호 101호,201호 평생교육관동
4th row대구광역시 달서구 이곡동 660-4번지
5th row대구광역시 동구 율하동 877번지 9호
ValueCountFrequency (%)
대구광역시 62
 
20.7%
동구 13
 
4.3%
달서구 13
 
4.3%
북구 9
 
3.0%
서구 7
 
2.3%
2호 7
 
2.3%
수성구 7
 
2.3%
중구 6
 
2.0%
1호 5
 
1.7%
7호 4
 
1.3%
Other values (141) 167
55.7%
2023-12-11T05:11:16.465900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
24.5%
구 121
 
8.0%
대 70
 
4.6%
동 70
 
4.6%
시 64
 
4.2%
광 62
 
4.1%
역 62
 
4.1%
지 54
 
3.6%
번 53
 
3.5%
1 50
 
3.3%
Other values (92) 540
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
55.3%
Space Separator 372
24.5%
Decimal Number 290
 
19.1%
Dash Punctuation 15
 
1.0%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 121
14.4%
대 70
 
8.3%
동 70
 
8.3%
시 64
 
7.6%
광 62
 
7.4%
역 62
 
7.4%
지 54
 
6.4%
번 53
 
6.3%
호 41
 
4.9%
서 21
 
2.5%
Other values (78) 221
26.3%
Decimal Number
ValueCountFrequency (%)
1 50
17.2%
2 41
14.1%
5 36
12.4%
4 32
11.0%
3 29
10.0%
8 25
8.6%
7 22
7.6%
0 22
7.6%
9 17
 
5.9%
6 16
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
55.3%
Common 679
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 121
14.4%
대 70
 
8.3%
동 70
 
8.3%
시 64
 
7.6%
광 62
 
7.4%
역 62
 
7.4%
지 54
 
6.4%
번 53
 
6.3%
호 41
 
4.9%
서 21
 
2.5%
Other values (78) 221
26.3%
Common
ValueCountFrequency (%)
372
54.8%
1 50
 
7.4%
2 41
 
6.0%
5 36
 
5.3%
4 32
 
4.7%
3 29
 
4.3%
8 25
 
3.7%
7 22
 
3.2%
0 22
 
3.2%
9 17
 
2.5%
Other values (4) 33
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
55.3%
ASCII 679
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
54.8%
1 50
 
7.4%
2 41
 
6.0%
5 36
 
5.3%
4 32
 
4.7%
3 29
 
4.3%
8 25
 
3.7%
7 22
 
3.2%
0 22
 
3.2%
9 17
 
2.5%
Other values (4) 33
 
4.9%
Hangul
ValueCountFrequency (%)
구 121
14.4%
대 70
 
8.3%
동 70
 
8.3%
시 64
 
7.6%
광 62
 
7.4%
역 62
 
7.4%
지 54
 
6.4%
번 53
 
6.3%
호 41
 
4.9%
서 21
 
2.5%
Other values (78) 221
26.3%

도로명전체주소
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing2
Missing (%)3.2%
Memory size628.0 B
2023-12-11T05:11:17.090664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length25.516667
Min length20

Characters and Unicode

Total characters1531
Distinct characters129
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

Unique60 ?
Unique (%)100.0%

Sample

1st row대구광역시 서구 국채보상로 264 (평리동)
2nd row대구광역시 수성구 달구벌대로 2257 (수성동4가)
3rd row대구광역시 수성구 달구벌대로528길 16, 평생교육관동 (만촌동,101호,201호)
4th row대구광역시 달서구 달구벌대로 1298 (이곡동)
5th row대구광역시 동구 안심로73길 22, (신서동, 신서 롯데캐슬레전드)
ValueCountFrequency (%)
대구광역시 60
 
18.8%
달서구 13
 
4.1%
동구 12
 
3.8%
달구벌대로 11
 
3.4%
북구 8
 
2.5%
서구 7
 
2.2%
수성구 7
 
2.2%
중구 6
 
1.9%
2층 5
 
1.6%
신암동 4
 
1.3%
Other values (154) 186
58.3%
2023-12-11T05:11:17.988590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
16.9%
구 131
 
8.6%
대 87
 
5.7%
동 76
 
5.0%
시 62
 
4.0%
로 61
 
4.0%
광 60
 
3.9%
역 60
 
3.9%
( 56
 
3.7%
) 56
 
3.7%
Other values (119) 623
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
60.4%
Space Separator 259
 
16.9%
Decimal Number 213
 
13.9%
Open Punctuation 56
 
3.7%
Close Punctuation 56
 
3.7%
Other Punctuation 19
 
1.2%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 131
14.2%
대 87
 
9.4%
동 76
 
8.2%
시 62
 
6.7%
로 61
 
6.6%
광 60
 
6.5%
역 60
 
6.5%
달 33
 
3.6%
서 26
 
2.8%
성 16
 
1.7%
Other values (104) 313
33.8%
Decimal Number
ValueCountFrequency (%)
2 38
17.8%
1 34
16.0%
3 23
10.8%
6 21
9.9%
5 20
9.4%
4 20
9.4%
0 17
8.0%
7 16
7.5%
8 15
 
7.0%
9 9
 
4.2%
Space Separator
ValueCountFrequency (%)
259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
60.4%
Common 606
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 131
14.2%
대 87
 
9.4%
동 76
 
8.2%
시 62
 
6.7%
로 61
 
6.6%
광 60
 
6.5%
역 60
 
6.5%
달 33
 
3.6%
서 26
 
2.8%
성 16
 
1.7%
Other values (104) 313
33.8%
Common
ValueCountFrequency (%)
259
42.7%
( 56
 
9.2%
) 56
 
9.2%
2 38
 
6.3%
1 34
 
5.6%
3 23
 
3.8%
6 21
 
3.5%
5 20
 
3.3%
4 20
 
3.3%
, 19
 
3.1%
Other values (5) 60
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
60.4%
ASCII 606
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
42.7%
( 56
 
9.2%
) 56
 
9.2%
2 38
 
6.3%
1 34
 
5.6%
3 23
 
3.8%
6 21
 
3.5%
5 20
 
3.3%
4 20
 
3.3%
, 19
 
3.1%
Other values (5) 60
 
9.9%
Hangul
ValueCountFrequency (%)
구 131
14.2%
대 87
 
9.4%
동 76
 
8.2%
시 62
 
6.7%
로 61
 
6.6%
광 60
 
6.5%
역 60
 
6.5%
달 33
 
3.6%
서 26
 
2.8%
성 16
 
1.7%
Other values (104) 313
33.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)23.5%
Missing28
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean27252.941
Minimum27110
Maximum27710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:18.302242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27110
5-th percentile27129.5
Q127140
median27230
Q327290
95-th percentile27710
Maximum27710
Range600
Interquartile range (IQR)150

Descriptive statistics

Standard deviation157.72107
Coefficient of variation (CV)0.0057873045
Kurtosis4.5383849
Mean27252.941
Median Absolute Deviation (MAD)60
Skewness2.1869536
Sum926600
Variance24875.936
MonotonicityNot monotonic
2023-12-11T05:11:18.503030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
27290 9
 
14.5%
27140 8
 
12.9%
27170 5
 
8.1%
27260 3
 
4.8%
27230 3
 
4.8%
27710 3
 
4.8%
27110 2
 
3.2%
27200 1
 
1.6%
(Missing) 28
45.2%
ValueCountFrequency (%)
27110 2
 
3.2%
27140 8
12.9%
27170 5
8.1%
27200 1
 
1.6%
27230 3
 
4.8%
27260 3
 
4.8%
27290 9
14.5%
27710 3
 
4.8%
ValueCountFrequency (%)
27710 3
 
4.8%
27290 9
14.5%
27260 3
 
4.8%
27230 3
 
4.8%
27200 1
 
1.6%
27170 5
8.1%
27140 8
12.9%
27110 2
 
3.2%

사업장명
Text

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T05:11:18.862974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21.5
Mean length12.225806
Min length10

Characters and Unicode

Total characters758
Distinct characters108
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

Unique60 ?
Unique (%)96.8%

Sample

1st row영남간호학원부설요양보호사교육원
2nd row엘레오스요양보호사교육원
3rd row수성대학교부설요양보호사교육원
4th row달서구 요양보호사교육원
5th row율하요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 5
 
7.4%
진명요양보호사교육원 2
 
2.9%
부설 1
 
1.5%
중안요양보호사교육원 1
 
1.5%
대구실버요양보호사교육원 1
 
1.5%
mg요양보호사교육원 1
 
1.5%
성당요양보호사교육원 1
 
1.5%
리더스요양보호사교육원 1
 
1.5%
영남요양보호사교육원 1
 
1.5%
대한적십자사대구지사 1
 
1.5%
Other values (53) 53
77.9%
2023-12-11T05:11:19.573524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 70
 
9.2%
교 69
 
9.1%
사 67
 
8.8%
호 66
 
8.7%
육 64
 
8.4%
보 63
 
8.3%
요 62
 
8.2%
양 62
 
8.2%
대 23
 
3.0%
부 14
 
1.8%
Other values (98) 198
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
98.3%
Space Separator 6
 
0.8%
Uppercase Letter 6
 
0.8%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 70
 
9.4%
교 69
 
9.3%
사 67
 
9.0%
호 66
 
8.9%
육 64
 
8.6%
보 63
 
8.5%
요 62
 
8.3%
양 62
 
8.3%
대 23
 
3.1%
부 14
 
1.9%
Other values (90) 185
24.8%
Uppercase Letter
ValueCountFrequency (%)
Y 1
16.7%
W 1
16.7%
C 1
16.7%
A 1
16.7%
M 1
16.7%
G 1
16.7%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
98.3%
Common 7
 
0.9%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 70
 
9.4%
교 69
 
9.3%
사 67
 
9.0%
호 66
 
8.9%
육 64
 
8.6%
보 63
 
8.5%
요 62
 
8.3%
양 62
 
8.3%
대 23
 
3.1%
부 14
 
1.9%
Other values (90) 185
24.8%
Latin
ValueCountFrequency (%)
Y 1
16.7%
W 1
16.7%
C 1
16.7%
A 1
16.7%
M 1
16.7%
G 1
16.7%
Common
ValueCountFrequency (%)
6
85.7%
1 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
98.3%
ASCII 13
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 70
 
9.4%
교 69
 
9.3%
사 67
 
9.0%
호 66
 
8.9%
육 64
 
8.6%
보 63
 
8.5%
요 62
 
8.3%
양 62
 
8.3%
대 23
 
3.1%
부 14
 
1.9%
Other values (90) 185
24.8%
ASCII
ValueCountFrequency (%)
6
46.2%
Y 1
 
7.7%
W 1
 
7.7%
C 1
 
7.7%
A 1
 
7.7%
1 1
 
7.7%
M 1
 
7.7%
G 1
 
7.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0155871 × 1013
Minimum2.0111031 × 1013
Maximum2.0200522 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:19.825914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111031 × 1013
5-th percentile2.0111031 × 1013
Q12.0111031 × 1013
median2.0175459 × 1013
Q32.019073 × 1013
95-th percentile2.0200502 × 1013
Maximum2.0200522 × 1013
Range8.949108 × 1010
Interquartile range (IQR)7.9698971 × 1010

Descriptive statistics

Standard deviation3.6569831 × 1010
Coefficient of variation (CV)0.0018143513
Kurtosis-1.8331256
Mean2.0155871 × 1013
Median Absolute Deviation (MAD)2.5049967 × 1010
Skewness-0.18452803
Sum1.249664 × 1015
Variance1.3373525 × 1021
MonotonicityNot monotonic
2023-12-11T05:11:20.101938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180123114245 1
 
1.6%
20120116094148 1
 
1.6%
20120117134410 1
 
1.6%
20120112132835 1
 
1.6%
20140317085443 1
 
1.6%
20111031102810 1
 
1.6%
20120106112239 1
 
1.6%
20111031095602 1
 
1.6%
20111031095853 1
 
1.6%
20111031100322 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
20111031095602 1
1.6%
20111031095853 1
1.6%
20111031100322 1
1.6%
20111031101445 1
1.6%
20111031102810 1
1.6%
20111031110027 1
1.6%
20111031111034 1
1.6%
20111031112432 1
1.6%
20111031112535 1
1.6%
20111031125737 1
1.6%
ValueCountFrequency (%)
20200522175529 1
1.6%
20200509084910 1
1.6%
20200508133800 1
1.6%
20200507181747 1
1.6%
20200401195408 1
1.6%
20191230180849 1
1.6%
20191230175420 1
1.6%
20191230173715 1
1.6%
20191224092258 1
1.6%
20191120175321 1
1.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
I
38 
U
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 38
61.3%
U 24
38.7%

Length

2023-12-11T05:11:20.337034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:11:20.499861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 38
61.3%
u 24
38.7%

데이터갱신일자
Categorical

Distinct20
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
2018-08-31 23:59:59.0
37 
2020-01-01 02:40:00.0
 
3
2019-08-01 02:40:00.0
 
3
2019-07-21 02:40:00.0
 
2
2019-11-08 02:40:00.0
 
2
Other values (15)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique15 ?
Unique (%)24.2%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-09-12 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2019-08-01 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 37
59.7%
2020-01-01 02:40:00.0 3
 
4.8%
2019-08-01 02:40:00.0 3
 
4.8%
2019-07-21 02:40:00.0 2
 
3.2%
2019-11-08 02:40:00.0 2
 
3.2%
2020-05-24 02:40:00.0 1
 
1.6%
2020-05-12 02:40:00.0 1
 
1.6%
2018-10-27 02:38:00.0 1
 
1.6%
2019-05-10 02:40:00.0 1
 
1.6%
2019-04-03 02:40:00.0 1
 
1.6%
Other values (10) 10
 
16.1%

Length

2023-12-11T05:11:20.679691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 37
29.8%
23:59:59.0 37
29.8%
02:40:00.0 22
17.7%
2020-01-01 3
 
2.4%
2019-08-01 3
 
2.4%
2019-07-21 2
 
1.6%
2019-11-08 2
 
1.6%
2019-07-11 1
 
0.8%
2019-11-22 1
 
0.8%
2020-05-09 1
 
0.8%
Other values (15) 15
12.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean343156.12
Minimum330171.96
Maximum354649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:20.938399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330171.96
5-th percentile335607.02
Q1339768.58
median342741.26
Q3346469.51
95-th percentile352978.47
Maximum354649
Range24477.043
Interquartile range (IQR)6700.9247

Descriptive statistics

Standard deviation5214.5182
Coefficient of variation (CV)0.015195761
Kurtosis0.097492536
Mean343156.12
Median Absolute Deviation (MAD)3187.3809
Skewness0.11438173
Sum20589367
Variance27191201
MonotonicityNot monotonic
2023-12-11T05:11:21.173582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
350381.10534 1
 
1.6%
338451.367969 1
 
1.6%
341147.194089 1
 
1.6%
341661.063534 1
 
1.6%
340504.495486 1
 
1.6%
340343.077953 1
 
1.6%
347900.626196 1
 
1.6%
343680.0386 1
 
1.6%
339796.476961 1
 
1.6%
347090.540767 1
 
1.6%
Other values (50) 50
80.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
330171.957223 1
1.6%
332174.65572 1
1.6%
334608.392592 1
1.6%
335659.581567 1
1.6%
335798.065946 1
1.6%
336254.293551 1
1.6%
337727.868407 1
1.6%
337816.719652 1
1.6%
338451.367969 1
1.6%
338755.615991 1
1.6%
ValueCountFrequency (%)
354649.0 1
1.6%
353773.579111 1
1.6%
353153.647607 1
1.6%
352969.246205 1
1.6%
352877.432494 1
1.6%
350650.801737 1
1.6%
350381.10534 1
1.6%
348931.129831 1
1.6%
347900.626196 1
1.6%
347570.164311 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean263540.44
Minimum244870.43
Maximum272577.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T05:11:21.393565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244870.43
5-th percentile258078.32
Q1262168.2
median263813.64
Q3265400.14
95-th percentile270982.92
Maximum272577.25
Range27706.821
Interquartile range (IQR)3231.942

Descriptive statistics

Standard deviation4040.7846
Coefficient of variation (CV)0.015332693
Kurtosis7.1498534
Mean263540.44
Median Absolute Deviation (MAD)1644.6407
Skewness-1.387139
Sum15812426
Variance16327940
MonotonicityNot monotonic
2023-12-11T05:11:21.685781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265868.677682 1
 
1.6%
262192.548701 1
 
1.6%
265114.92676 1
 
1.6%
262095.156079 1
 
1.6%
263863.595791 1
 
1.6%
262853.732335 1
 
1.6%
266459.610194 1
 
1.6%
263980.297093 1
 
1.6%
262720.755306 1
 
1.6%
263273.198032 1
 
1.6%
Other values (50) 50
80.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
244870.429001 1
1.6%
257133.181405 1
1.6%
257148.656335 1
1.6%
258127.250703 1
1.6%
258226.205924 1
1.6%
258228.808874 1
1.6%
259839.177505 1
1.6%
260479.646796 1
1.6%
260780.25731 1
1.6%
260817.193931 1
1.6%
ValueCountFrequency (%)
272577.250458 1
1.6%
271808.175859 1
1.6%
271060.967955 1
1.6%
270978.8119 1
1.6%
267685.117048 1
1.6%
267409.80774 1
1.6%
267079.082696 1
1.6%
266487.457157 1
1.6%
266459.610194 1
1.6%
265960.774964 1
1.6%

보유자격증명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

국비지원여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

담당직원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)보유자격증명국비지원여부담당직원내용삭제일자
01요양보호사교육기관11_49_01_P6270000201062700000040006-2010061120100611<NA>1영업/정상0운영<NA><NA><NA><NA>535591004<NA><NA>대구광역시 서구 평리4동 1217번지 13호대구광역시 서구 국채보상로 264 (평리동)<NA>영남간호학원부설요양보호사교육원20180123114245I2018-08-31 23:59:59.0<NA>340812.073007264557.264382<NA><NA><NA><NA>
12요양보호사교육기관11_49_01_P6270000201062700000040002-2010060720100607<NA>3폐업1폐지20111125<NA><NA><NA>537450755<NA><NA>대구광역시 수성구 수성동4가 1236번지 52호대구광역시 수성구 달구벌대로 2257 (수성동4가)27260엘레오스요양보호사교육원20111031133431I2018-08-31 23:59:59.0<NA>345346.30949263528.338305<NA><NA><NA><NA>
23요양보호사교육기관11_49_01_P6270000201062700000040023-2010072120100721<NA>1영업/정상0운영<NA><NA><NA><NA>537497199<NA><NA>대구광역시 수성구 만촌동 851번지 8호 101호,201호 평생교육관동대구광역시 수성구 달구벌대로528길 16, 평생교육관동 (만촌동,101호,201호)<NA>수성대학교부설요양보호사교육원20190910162628U2019-09-12 02:40:00.0<NA>348931.129831262974.674198<NA><NA><NA><NA>
34요양보호사교육기관11_49_01_P6270000201062700000040008-2010061520100615<NA>1영업/정상0운영<NA><NA><NA><NA>535837887<NA><NA>대구광역시 달서구 이곡동 660-4번지대구광역시 달서구 달구벌대로 1298 (이곡동)<NA>달서구 요양보호사교육원20180123173830I2018-08-31 23:59:59.0<NA>336254.293551262252.195516<NA><NA><NA><NA>
45요양보호사교육기관11_49_01_P6270000201062700000040029-2010081120100811<NA>1영업/정상0운영<NA><NA><NA><NA>539627227<NA><NA>대구광역시 동구 율하동 877번지 9호대구광역시 동구 안심로73길 22, (신서동, 신서 롯데캐슬레전드)27140율하요양보호사교육원20190730103856U2019-08-01 02:40:00.0<NA>352877.432494264623.535405<NA><NA><NA><NA>
56요양보호사교육기관11_49_01_P6270000201062700000040042-2010082620100826<NA>1영업/정상0운영<NA><NA><NA><NA>534759057<NA><NA>대구광역시 남구 대명2동 2009번지 2호대구광역시 남구 중앙대로48길 3, 5층 (대명동)<NA>성모요양보호사교육원20190730103344U2019-08-01 02:40:00.0<NA>343654.894147262404.256503<NA><NA><NA><NA>
67요양보호사교육기관11_49_01_P6270000201162700000040061-2011041920110419<NA>1영업/정상0운영<NA><NA><NA><NA>537555578<NA><NA>대구광역시 서구 평리동 498-15 대평정형외과 2호대구광역시 서구 북비산로 233, 대평정형외과 2층 (평리동)27170한우리요양보호사교육원20200509084910U2020-05-12 02:40:00.0<NA>340684.536998265481.830022<NA><NA><NA><NA>
78요양보호사교육기관11_49_01_P6270000201062700000040058-2010120220101202<NA>1영업/정상0운영<NA><NA><NA><NA>537665337<NA><NA>대구광역시 수성구 상동 98번지 10호대구광역시 수성구 수성로 121 (상동)<NA>은혜요양보호사교육원20181025134741U2018-10-27 02:38:00.0<NA>345543.001292260780.25731<NA><NA><NA><NA>
89요양보호사교육기관11_49_01_P6270000201062700000040054-2010100120101001<NA>1영업/정상0운영<NA><NA><NA><NA>535571577<NA><NA>대구광역시 달서구 감삼동 62-8대구광역시 달서구 달구벌대로 1649, 5층 (감삼동)27290효경요양보호사교육원20190508175054U2019-05-10 02:40:00.0<NA>339614.912654262643.344969<NA><NA><NA><NA>
910요양보호사교육기관11_49_01_P6270000201062700000040053-2010100120101001<NA>1영업/정상0운영<NA><NA><NA><NA>535897764<NA><NA>대구광역시 달서구 신당동 700번지대구광역시 달서구 달서대로 675 (신당동)<NA>계명문화대학교부설요양보호사교육원20191230175420U2020-01-01 02:40:00.0<NA>334608.392592263118.342017<NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)보유자격증명국비지원여부담당직원내용삭제일자
5253요양보호사교육기관11_49_01_P6270000201062700000040021-2010071920100719<NA>3폐업1폐지20101203<NA><NA><NA>539398847<NA><NA>대구광역시 동구 신암4동 276번지 25호대구광역시 동구 신암남로 115 (신암동)27140진명요양보호사교육원20111031130017I2018-08-31 23:59:59.0<NA>346971.046144265744.422598<NA><NA><NA><NA>
5354요양보호사교육기관11_49_01_P6270000201062700000040020-2010071920100719<NA>3폐업1폐지20130102<NA><NA><NA>537401142<NA><NA>대구광역시 동구 신천4동 328번지 2호대구광역시 동구 동부로 148 (신천동)27140대구시니어체험관요양보호사교육원20111031131056I2018-08-31 23:59:59.0<NA>346984.268418265282.301233<NA><NA><NA><NA>
5455요양보호사교육기관11_49_01_P6270000201062700000040018-2010071920100719<NA>3폐업1폐지20120116<NA><NA><NA>532523927<NA><NA>대구광역시 중구 삼덕동1가 49-3번지대구광역시 중구 공평로 11 (삼덕동1가)27110대구비전요양보호사교육원20111031131459I2018-08-31 23:59:59.0<NA>344397.008119263942.811212<NA><NA><NA><NA>
5556요양보호사교육기관11_49_01_P6270000201062700000040015-2010071220100712<NA>3폐업1폐지20121005<NA><NA><NA>532953838<NA><NA>대구광역시 달성군 현풍면 원교리 1731번지 52호대구광역시 달성군 현풍면 현풍로 1027710현풍요양보호사교육원20120109105735I2018-08-31 23:59:59.0<NA>330171.957223244870.429001<NA><NA><NA><NA>
5657요양보호사교육기관11_49_01_P6270000201062700000040013-2010070620100706<NA>3폐업1폐지20150212<NA><NA><NA>535888886<NA><NA>대구광역시 달성군 다사읍 매곡리 1546번지 4호대구광역시 달성군 다사읍 달구벌대로 85527710대한간호학원부설 요양보호사교육원20130709153301I2018-08-31 23:59:59.0<NA>332174.65572263177.257885<NA><NA><NA><NA>
5758요양보호사교육기관11_49_01_P6270000201062700000040012-2010070620100706<NA>3폐업1폐지20121010<NA><NA><NA>539619182<NA><NA>대구광역시 동구 신기동 178-3번지대구광역시 동구 반야월로 138 (신기동)27140동구요양보호사교육원20120112173501I2018-08-31 23:59:59.0<NA>353773.579111264977.020736<NA><NA><NA><NA>
5859요양보호사교육기관11_49_01_P6270000201062700000040011-2010062820100628<NA>3폐업1폐지20180405<NA><NA><NA>536290093<NA><NA>대구광역시 남구 대명동 447번지대구광역시 남구 현충로 64 (대명동)<NA>대구YWCA부설요양보호사교육원20170602112424I2018-08-31 23:59:59.0<NA>342696.551782260967.718045<NA><NA><NA><NA>
5960요양보호사교육기관11_49_01_P6270000201062700000040007-2010061520100615<NA>3폐업1폐지20111221<NA><NA><NA>536347813<NA><NA>대구광역시 달서구 진천동 511번지 2호대구광역시 달서구 진천로 56 (진천동)27290진천요양보호사교육원20111031132930I2018-08-31 23:59:59.0<NA>337727.868407258127.250703<NA><NA><NA><NA>
6061요양보호사교육기관11_49_01_P6270000201062700000040005-2010060920100609<NA>3폐업1폐지20110104<NA><NA><NA>533417080<NA><NA>대구광역시 북구 노원3가 1206번지대구광역시 북구 노원로 167 (노원동3가)27230영남북부요양보호사교육원20111031133143I2018-08-31 23:59:59.0<NA>342426.193827267685.117048<NA><NA><NA><NA>
6162요양보호사교육기관11_49_01_P6270000201162700000040060-2011022220110222<NA>1영업/정상0운영<NA><NA><NA><NA>537840731<NA><NA>대구광역시 수성구 두산동 729번지 7호대구광역시 수성구 지범로 63-1 (두산동)<NA>지산요양보호사교육원20180103150218I2018-08-31 23:59:59.0<NA>346922.366043259839.177505<NA><NA><NA><NA>