Overview

Dataset statistics

Number of variables32
Number of observations62
Missing cells777
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.0 KiB
Average record size in memory280.1 B

Variable types

Numeric8
Categorical8
Text4
Unsupported11
DateTime1

Dataset

Description6270000_대구광역시_11_49_01_P_요양보호사교육기관_6월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090535&dataSetDetailId=DDI_0000090549&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 36 (58.1%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
좌표정보(X) has 13 (21.0%) missing valuesMissing
좌표정보(Y) has 13 (21.0%) 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 18:47:02.652094
Analysis finished2023-12-10 18:47:03.233366
Duration0.58 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
2023-12-11T03:47:03.357194image/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
2023-12-11T03:47:03.578813image/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

2023-12-11T03:47:03.773004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:03.924584image/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

2023-12-11T03:47:04.097926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:04.242103image/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

2023-12-11T03:47:04.390758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:04.549276image/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
2023-12-11T03:47:04.831212image/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 row201062700000040008-20100615
2nd row201062700000040032-20100813
3rd row201062700000040042-20100826
4th row201162700000040061-20110419
5th row201062700000040058-20101202
ValueCountFrequency (%)
201062700000040008-20100615 1
 
1.6%
201062700000040035-20100823 1
 
1.6%
201062700000040017-20100712 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%
201062700000040056-20101018 1
 
1.6%
201062700000040055-20101011 1
 
1.6%
Other values (52) 52
83.9%
2023-12-11T03:47:05.394329image/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
2023-12-11T03:47:05.676047image/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
2023-12-11T03:47:05.906608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20100719 4
 
6.5%
20100907 4
 
6.5%
20100825 4
 
6.5%
20100823 4
 
6.5%
20100811 4
 
6.5%
20100706 3
 
4.8%
20100712 3
 
4.8%
20100615 2
 
3.2%
20100721 2
 
3.2%
20100830 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
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

2023-12-11T03:47:06.129110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:06.271405image/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

2023-12-11T03:47:06.443760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:06.632940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
50.0%
폐업 31
50.0%
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

2023-12-11T03:47:06.796774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:06.949512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
50.0%
1 31
50.0%
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

2023-12-11T03:47:07.119744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:07.284730image/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
2023-12-11T03:47:07.514608image/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
2023-12-11T03:47:07.781867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20100707 1
 
1.6%
20150526 1
 
1.6%
20111125 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%
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
2023-12-11T03:47:08.062374image/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
2023-12-11T03:47:08.340203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
537555578 2
 
3.2%
539398847 2
 
3.2%
535837887 1
 
1.6%
535250556 1
 
1.6%
536217756 1
 
1.6%
536557337 1
 
1.6%
536511588 1
 
1.6%
535732455 1
 
1.6%
535517006 1
 
1.6%
535917272 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
Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T03:47:09.268412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length23.919355
Min length17

Characters and Unicode

Total characters1483
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

Unique62 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 이곡동 660-4번지
2nd row대구광역시 동구 율하동 43번지
3rd row대구광역시 남구 대명2동 2009번지 2호
4th row대구광역시 서구 평리동 498-15 대평정형외과 2호
5th row대구광역시 수성구 상동 98번지 10호
ValueCountFrequency (%)
대구광역시 62
 
21.1%
동구 13
 
4.4%
달서구 13
 
4.4%
북구 9
 
3.1%
2호 7
 
2.4%
수성구 7
 
2.4%
서구 7
 
2.4%
중구 6
 
2.0%
1호 5
 
1.7%
달성군 4
 
1.4%
Other values (139) 161
54.8%
2023-12-11T03:47:10.841178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
361
24.3%
121
 
8.2%
70
 
4.7%
69
 
4.7%
64
 
4.3%
62
 
4.2%
62
 
4.2%
52
 
3.5%
50
 
3.4%
1 48
 
3.2%
Other values (88) 524
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 821
55.4%
Space Separator 361
24.3%
Decimal Number 283
 
19.1%
Dash Punctuation 18
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
121
14.7%
70
 
8.5%
69
 
8.4%
64
 
7.8%
62
 
7.6%
62
 
7.6%
52
 
6.3%
50
 
6.1%
36
 
4.4%
21
 
2.6%
Other values (76) 214
26.1%
Decimal Number
ValueCountFrequency (%)
1 48
17.0%
2 38
13.4%
5 37
13.1%
4 32
11.3%
3 28
9.9%
8 25
8.8%
0 21
7.4%
7 20
7.1%
6 17
 
6.0%
9 17
 
6.0%
Space Separator
ValueCountFrequency (%)
361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 821
55.4%
Common 662
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
121
14.7%
70
 
8.5%
69
 
8.4%
64
 
7.8%
62
 
7.6%
62
 
7.6%
52
 
6.3%
50
 
6.1%
36
 
4.4%
21
 
2.6%
Other values (76) 214
26.1%
Common
ValueCountFrequency (%)
361
54.5%
1 48
 
7.3%
2 38
 
5.7%
5 37
 
5.6%
4 32
 
4.8%
3 28
 
4.2%
8 25
 
3.8%
0 21
 
3.2%
7 20
 
3.0%
- 18
 
2.7%
Other values (2) 34
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 821
55.4%
ASCII 662
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
361
54.5%
1 48
 
7.3%
2 38
 
5.7%
5 37
 
5.6%
4 32
 
4.8%
3 28
 
4.2%
8 25
 
3.8%
0 21
 
3.2%
7 20
 
3.0%
- 18
 
2.7%
Other values (2) 34
 
5.1%
Hangul
ValueCountFrequency (%)
121
14.7%
70
 
8.5%
69
 
8.4%
64
 
7.8%
62
 
7.6%
62
 
7.6%
52
 
6.3%
50
 
6.1%
36
 
4.4%
21
 
2.6%
Other values (76) 214
26.1%

도로명전체주소
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing2
Missing (%)3.2%
Memory size628.0 B
2023-12-11T03:47:11.823957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length25.233333
Min length20

Characters and Unicode

Total characters1514
Distinct characters127
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 달서구 달구벌대로 1298 (이곡동)
2nd row대구광역시 동구 반야월로14길 5 (율하동)
3rd row대구광역시 남구 중앙대로48길 3, 5층 (대명동)
4th row대구광역시 서구 북비산로 233, 대평정형외과 2층 (평리동)
5th row대구광역시 수성구 수성로 121 (상동)
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%
달성군 4
 
1.3%
Other values (152) 186
58.3%
2023-12-11T03:47:12.822182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
17.1%
131
 
8.7%
87
 
5.7%
75
 
5.0%
62
 
4.1%
61
 
4.0%
60
 
4.0%
60
 
4.0%
( 56
 
3.7%
) 56
 
3.7%
Other values (117) 607
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 917
60.6%
Space Separator 259
 
17.1%
Decimal Number 207
 
13.7%
Open Punctuation 56
 
3.7%
Close Punctuation 56
 
3.7%
Other Punctuation 16
 
1.1%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
131
14.3%
87
 
9.5%
75
 
8.2%
62
 
6.8%
61
 
6.7%
60
 
6.5%
60
 
6.5%
33
 
3.6%
26
 
2.8%
16
 
1.7%
Other values (102) 306
33.4%
Decimal Number
ValueCountFrequency (%)
2 37
17.9%
1 30
14.5%
3 22
10.6%
5 22
10.6%
6 20
9.7%
4 20
9.7%
7 16
7.7%
8 16
7.7%
0 15
7.2%
9 9
 
4.3%
Space Separator
ValueCountFrequency (%)
259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 917
60.6%
Common 597
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
131
14.3%
87
 
9.5%
75
 
8.2%
62
 
6.8%
61
 
6.7%
60
 
6.5%
60
 
6.5%
33
 
3.6%
26
 
2.8%
16
 
1.7%
Other values (102) 306
33.4%
Common
ValueCountFrequency (%)
259
43.4%
( 56
 
9.4%
) 56
 
9.4%
2 37
 
6.2%
1 30
 
5.0%
3 22
 
3.7%
5 22
 
3.7%
6 20
 
3.4%
4 20
 
3.4%
7 16
 
2.7%
Other values (5) 59
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 917
60.6%
ASCII 597
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
43.4%
( 56
 
9.4%
) 56
 
9.4%
2 37
 
6.2%
1 30
 
5.0%
3 22
 
3.7%
5 22
 
3.7%
6 20
 
3.4%
4 20
 
3.4%
7 16
 
2.7%
Other values (5) 59
 
9.9%
Hangul
ValueCountFrequency (%)
131
14.3%
87
 
9.5%
75
 
8.2%
62
 
6.8%
61
 
6.7%
60
 
6.5%
60
 
6.5%
33
 
3.6%
26
 
2.8%
16
 
1.7%
Other values (102) 306
33.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)30.8%
Missing36
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean27261.154
Minimum27110
Maximum27710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T03:47:13.028770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27110
5-th percentile27117.5
Q127140
median27215
Q327290
95-th percentile27710
Maximum27710
Range600
Interquartile range (IQR)150

Descriptive statistics

Standard deviation176.66526
Coefficient of variation (CV)0.0064804764
Kurtosis3.0993171
Mean27261.154
Median Absolute Deviation (MAD)75
Skewness1.9689373
Sum708790
Variance31210.615
MonotonicityNot monotonic
2023-12-11T03:47:13.201559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
27140 6
 
9.7%
27290 5
 
8.1%
27260 4
 
6.5%
27170 4
 
6.5%
27710 3
 
4.8%
27110 2
 
3.2%
27200 1
 
1.6%
27230 1
 
1.6%
(Missing) 36
58.1%
ValueCountFrequency (%)
27110 2
 
3.2%
27140 6
9.7%
27170 4
6.5%
27200 1
 
1.6%
27230 1
 
1.6%
27260 4
6.5%
27290 5
8.1%
27710 3
4.8%
ValueCountFrequency (%)
27710 3
4.8%
27290 5
8.1%
27260 4
6.5%
27230 1
 
1.6%
27200 1
 
1.6%
27170 4
6.5%
27140 6
9.7%
27110 2
 
3.2%
Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T03:47:13.629359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21.5
Mean length12.241935
Min length10

Characters and Unicode

Total characters759
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 row달서구 요양보호사교육원
2nd row중앙요양보호사교육원
3rd row성모요양보호사교육원
4th row한우리요양보호사교육원
5th row은혜요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 5
 
7.4%
진명요양보호사교육원 2
 
2.9%
달서구 1
 
1.5%
대구실버요양보호사교육원 1
 
1.5%
성당요양보호사교육원 1
 
1.5%
리더스요양보호사교육원 1
 
1.5%
영남요양보호사교육원 1
 
1.5%
대한적십자사대구지사 1
 
1.5%
광장요양보호사교육원 1
 
1.5%
성서인성요양보호사교육원 1
 
1.5%
Other values (53) 53
77.9%
2023-12-11T03:47:14.311051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
9.2%
69
 
9.1%
67
 
8.8%
66
 
8.7%
64
 
8.4%
63
 
8.3%
62
 
8.2%
62
 
8.2%
23
 
3.0%
14
 
1.8%
Other values (98) 199
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
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 (%)
70
 
9.4%
69
 
9.2%
67
 
9.0%
66
 
8.8%
64
 
8.6%
63
 
8.4%
62
 
8.3%
62
 
8.3%
23
 
3.1%
14
 
1.9%
Other values (90) 186
24.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
16.7%
C 1
16.7%
W 1
16.7%
Y 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 746
98.3%
Common 7
 
0.9%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70
 
9.4%
69
 
9.2%
67
 
9.0%
66
 
8.8%
64
 
8.6%
63
 
8.4%
62
 
8.3%
62
 
8.3%
23
 
3.1%
14
 
1.9%
Other values (90) 186
24.9%
Latin
ValueCountFrequency (%)
A 1
16.7%
C 1
16.7%
W 1
16.7%
Y 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 746
98.3%
ASCII 13
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
70
 
9.4%
69
 
9.2%
67
 
9.0%
66
 
8.8%
64
 
8.6%
63
 
8.4%
62
 
8.3%
62
 
8.3%
23
 
3.1%
14
 
1.9%
Other values (90) 186
24.9%
ASCII
ValueCountFrequency (%)
6
46.2%
A 1
 
7.7%
C 1
 
7.7%
W 1
 
7.7%
Y 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%
Mean2.0164498 × 1013
Minimum2.0111031 × 1013
Maximum2.0210603 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T03:47:14.614563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111031 × 1013
5-th percentile2.0111031 × 1013
Q12.0111031 × 1013
median2.0180967 × 1013
Q32.0210308 × 1013
95-th percentile2.021052 × 1013
Maximum2.0210603 × 1013
Range9.9571998 × 1010
Interquartile range (IQR)9.9276511 × 1010

Descriptive statistics

Standard deviation4.4715736 × 1010
Coefficient of variation (CV)0.0022175477
Kurtosis-1.8980293
Mean2.0164498 × 1013
Median Absolute Deviation (MAD)2.9557008 × 1010
Skewness-0.15140966
Sum1.2501989 × 1015
Variance1.9994971 × 1021
MonotonicityNot monotonic
2023-12-11T03:47:14.899925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200826191212 1
 
1.6%
20111031112432 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%
20111031101445 1
 
1.6%
20150120151446 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 (%)
20210603093305 1
1.6%
20210528161918 1
1.6%
20210520163909 1
1.6%
20210520090711 1
1.6%
20210520085850 1
1.6%
20210518085727 1
1.6%
20210507090234 1
1.6%
20210422184609 1
1.6%
20210422184322 1
1.6%
20210416103538 1
1.6%
Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
I
32 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 32
51.6%
U 30
48.4%

Length

2023-12-11T03:47:15.132783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:47:15.341322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 32
51.6%
u 30
48.4%
Distinct21
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2018-08-31 23:59:59
Maximum2021-06-05 02:40:00
2023-12-11T03:47:15.508043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:47:15.698283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)100.0%
Missing13
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean343252.16
Minimum330171.96
Maximum354649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T03:47:15.934330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330171.96
5-th percentile335028.87
Q1339796.48
median342785.97
Q3346971.05
95-th percentile353079.89
Maximum354649
Range24477.043
Interquartile range (IQR)7174.5692

Descriptive statistics

Standard deviation5520.865
Coefficient of variation (CV)0.016083992
Kurtosis-0.013395623
Mean343252.16
Median Absolute Deviation (MAD)3205.3195
Skewness0.069384743
Sum16819356
Variance30479950
MonotonicityNot monotonic
2023-12-11T03:47:16.189572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
346971.046144 1
 
1.6%
339796.476961 1
 
1.6%
347090.540767 1
 
1.6%
341789.647134 1
 
1.6%
343289.778615 1
 
1.6%
339155.836777 1
 
1.6%
335659.581567 1
 
1.6%
338755.615991 1
 
1.6%
347570.164311 1
 
1.6%
345209.026924 1
 
1.6%
Other values (39) 39
62.9%
(Missing) 13
 
21.0%
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%
338451.367969 1
1.6%
338755.615991 1
1.6%
339155.836777 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%
347900.626196 1
1.6%
347570.164311 1
1.6%
347097.831813 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)100.0%
Missing13
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean263411.65
Minimum244870.43
Maximum271808.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T03:47:16.455845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244870.43
5-th percentile257540.09
Q1262192.55
median263763.69
Q3265114.93
95-th percentile269661.33
Maximum271808.18
Range26937.747
Interquartile range (IQR)2922.3781

Descriptive statistics

Standard deviation4036.2986
Coefficient of variation (CV)0.015323159
Kurtosis8.8096629
Mean263411.65
Median Absolute Deviation (MAD)1518.6134
Skewness-1.7921908
Sum12907171
Variance16291706
MonotonicityNot monotonic
2023-12-11T03:47:16.726100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
265744.422598 1
 
1.6%
262720.755306 1
 
1.6%
263273.198032 1
 
1.6%
264946.609756 1
 
1.6%
263445.349134 1
 
1.6%
271060.967955 1
 
1.6%
257148.656335 1
 
1.6%
262511.318734 1
 
1.6%
263269.533203 1
 
1.6%
260921.194854 1
 
1.6%
Other values (39) 39
62.9%
(Missing) 13
 
21.0%
ValueCountFrequency (%)
244870.429001 1
1.6%
257133.181405 1
1.6%
257148.656335 1
1.6%
258127.250703 1
1.6%
259706.969156 1
1.6%
260780.25731 1
1.6%
260817.193931 1
1.6%
260921.194854 1
1.6%
260967.718045 1
1.6%
261078.394209 1
1.6%
ValueCountFrequency (%)
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%
266459.610194 1
1.6%
265868.677682 1
1.6%
265744.422598 1
1.6%
265683.768049 1
1.6%
265586.0 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_P6270000201062700000040008-2010061520100615<NA>1영업/정상0운영<NA><NA><NA><NA>535837887<NA><NA>대구광역시 달서구 이곡동 660-4번지대구광역시 달서구 달구벌대로 1298 (이곡동)<NA>달서구 요양보호사교육원20200826191212U2020-08-28 02:40:00.0<NA>336254.293551262252.195516<NA><NA><NA><NA>
12요양보호사교육기관11_49_01_P6270000201062700000040032-2010081320100813<NA>3폐업1폐지20111220<NA><NA><NA>539612666<NA><NA>대구광역시 동구 율하동 43번지대구광역시 동구 반야월로14길 5 (율하동)27140중앙요양보호사교육원20111031110027I2018-08-31 23:59:59.0<NA>353153.647607264996.102076<NA><NA><NA><NA>
23요양보호사교육기관11_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>성모요양보호사교육원20200703102240U2020-07-05 02:40:00.0<NA>343654.894147262404.256503<NA><NA><NA><NA>
34요양보호사교육기관11_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)<NA>한우리요양보호사교육원20210301121013U2021-03-03 02:40:00.0<NA><NA><NA><NA><NA><NA><NA>
45요양보호사교육기관11_49_01_P6270000201062700000040058-2010120220101202<NA>1영업/정상0운영<NA><NA><NA><NA>537665337<NA><NA>대구광역시 수성구 상동 98번지 10호대구광역시 수성구 수성로 121 (상동)<NA>은혜요양보호사교육원20210422184609U2021-04-24 02:40:00.0<NA>345543.001292260780.25731<NA><NA><NA><NA>
56요양보호사교육기관11_49_01_P6270000201062700000040054-2010100120101001<NA>1영업/정상0운영<NA><NA><NA><NA>535571577<NA><NA>대구광역시 달서구 감삼동 62-8대구광역시 달서구 달구벌대로 1649, 5층 (감삼동)<NA>효경요양보호사교육원20210306141601U2021-03-09 02:40:00.0<NA><NA><NA><NA><NA><NA><NA>
67요양보호사교육기관11_49_01_P6270000201062700000040053-2010100120101001<NA>1영업/정상0운영<NA><NA><NA><NA>535897764<NA><NA>대구광역시 달서구 신당동 700번지대구광역시 달서구 달서대로 675 (신당동)<NA>계명문화대학교부설요양보호사교육원20210422184322U2021-04-24 02:40:00.0<NA>334608.392592263118.342017<NA><NA><NA><NA>
78요양보호사교육기관11_49_01_P6270000201062700000040052-2010092720100927<NA>1영업/정상0운영<NA><NA><NA><NA>533234119<NA><NA>대구광역시 북구 태전동 1068번지대구광역시 북구 칠곡중앙대로 525 (읍내동)<NA>강북요양보호사교육원20210330165400U2021-04-01 02:40:00.0<NA>339580.654145270978.8119<NA><NA><NA><NA>
89요양보호사교육기관11_49_01_P6270000201062700000040049-2010090720100907<NA>1영업/정상0운영<NA><NA><NA><NA>539555778<NA><NA>대구광역시 북구 복현동 459-1대구광역시 북구 동북로 260, 3층 (복현동)<NA>동경요양보호사교육원20210603093305U2021-06-05 02:40:00.0<NA><NA><NA><NA><NA><NA><NA>
910요양보호사교육기관11_49_01_P6270000201062700000040048-2010090720100907<NA>1영업/정상0운영<NA><NA><NA><NA>536369290<NA><NA>대구광역시 달성군 화원읍 천내리 465번지 2호대구광역시 달성군 화원읍 비슬로 2620<NA>화원요양보호사교육원20200706100924U2020-07-08 02:40:00.0<NA>335798.065946257133.181405<NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)보유자격증명국비지원여부담당직원내용삭제일자
5253요양보호사교육기관11_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>
5354요양보호사교육기관11_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>
5455요양보호사교육기관11_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>
5556요양보호사교육기관11_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>
5657요양보호사교육기관11_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>
5758요양보호사교육기관11_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>
5859요양보호사교육기관11_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>
5960요양보호사교육기관11_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>
6061요양보호사교육기관11_49_01_P6270000201062700000040017-2010071220100712<NA>3폐업1폐지20150526<NA><NA><NA>539848233<NA><NA>대구광역시 동구 방촌동 886번지 8호대구광역시 동구 동촌로 235 (방촌동)<NA>중안요양보호사교육원20150204091639I2018-08-31 23:59:59.0<NA>350381.10534265868.677682<NA><NA><NA><NA>
6162요양보호사교육기관11_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)<NA>율하요양보호사교육원20210528161918U2021-05-30 02:40:00.0<NA>352877.432494264623.535405<NA><NA><NA><NA>