Overview

Dataset statistics

Number of variables33
Number of observations140
Missing cells2017
Missing cells (%)43.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.7 KiB
Average record size in memory282.9 B

Variable types

Numeric5
Categorical8
Text4
DateTime6
Unsupported10

Dataset

Description2023-08-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123193

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
인허가취소일자 has 140 (100.0%) missing valuesMissing
폐업일자 has 63 (45.0%) missing valuesMissing
휴업시작일자 has 140 (100.0%) missing valuesMissing
휴업종료일자 has 138 (98.6%) missing valuesMissing
재개업일자 has 138 (98.6%) missing valuesMissing
소재지전화 has 11 (7.9%) missing valuesMissing
소재지면적 has 140 (100.0%) missing valuesMissing
소재지우편번호 has 140 (100.0%) missing valuesMissing
소재지전체주소 has 18 (12.9%) missing valuesMissing
도로명전체주소 has 12 (8.6%) missing valuesMissing
도로명우편번호 has 105 (75.0%) missing valuesMissing
업태구분명 has 140 (100.0%) missing valuesMissing
좌표정보(x) has 66 (47.1%) missing valuesMissing
좌표정보(y) has 66 (47.1%) missing valuesMissing
보유자격증명 has 140 (100.0%) missing valuesMissing
국비지원여부 has 140 (100.0%) missing valuesMissing
담당직원내용 has 140 (100.0%) missing valuesMissing
삭제일자 has 140 (100.0%) missing valuesMissing
Unnamed: 32 has 140 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 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
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
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-20 14:35:39.618169
Analysis finished2024-04-20 14:35:40.515110
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-20T23:35:40.696789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.95
Q135.75
median70.5
Q3105.25
95-th percentile133.05
Maximum140
Range139
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation40.5586
Coefficient of variation (CV)0.57529928
Kurtosis-1.2
Mean70.5
Median Absolute Deviation (MAD)35
Skewness0
Sum9870
Variance1645
MonotonicityStrictly increasing
2024-04-20T23:35:41.155763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
요양보호사교육기관
140 

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 140
100.0%

Length

2024-04-20T23:35:41.579559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:35:41.917697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양보호사교육기관 140
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
11_49_01_P
140 

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 140
100.0%

Length

2024-04-20T23:35:42.291121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:35:42.814048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_49_01_p 140
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
6260000
140 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 140
100.0%

Length

2024-04-20T23:35:43.155496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:35:43.516902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 140
100.0%

관리번호
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-20T23:35:44.646215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters3780
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

Unique140 ?
Unique (%)100.0%

Sample

1st row202362600000040002-20230630
2nd row201062600000040045-20100706
3rd row201062600000040071-20101011
4th row201562600000040004-20150713
5th row201562600000040006-20151214
ValueCountFrequency (%)
202362600000040002-20230630 1
 
0.7%
201062600000040062-20100902 1
 
0.7%
201062600000040042-20100706 1
 
0.7%
201062600000040028-20100622 1
 
0.7%
201062600000040030-20100622 1
 
0.7%
201062600000040031-20100622 1
 
0.7%
201062600000040032-20100622 1
 
0.7%
201062600000040033-20100622 1
 
0.7%
201062600000040020-20100611 1
 
0.7%
201062600000040060-20100902 1
 
0.7%
Other values (130) 130
92.9%
2024-04-20T23:35:46.412695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1840
48.7%
2 557
 
14.7%
1 421
 
11.1%
6 378
 
10.0%
4 197
 
5.2%
- 140
 
3.7%
5 65
 
1.7%
7 56
 
1.5%
9 47
 
1.2%
8 40
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3640
96.3%
Dash Punctuation 140
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1840
50.5%
2 557
 
15.3%
1 421
 
11.6%
6 378
 
10.4%
4 197
 
5.4%
5 65
 
1.8%
7 56
 
1.5%
9 47
 
1.3%
8 40
 
1.1%
3 39
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1840
48.7%
2 557
 
14.7%
1 421
 
11.1%
6 378
 
10.0%
4 197
 
5.2%
- 140
 
3.7%
5 65
 
1.7%
7 56
 
1.5%
9 47
 
1.2%
8 40
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1840
48.7%
2 557
 
14.7%
1 421
 
11.1%
6 378
 
10.0%
4 197
 
5.2%
- 140
 
3.7%
5 65
 
1.7%
7 56
 
1.5%
9 47
 
1.2%
8 40
 
1.1%

인허가일자
Date

Distinct54
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2010-06-03 00:00:00
Maximum2023-06-30 00:00:00
2024-04-20T23:35:46.948475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:35:47.556287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
80 
1
60 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 80
57.1%
1 60
42.9%

Length

2024-04-20T23:35:48.075722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:35:48.501763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 80
57.1%
1 60
42.9%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
80 
영업/정상
60 

Length

Max length5
Median length2
Mean length3.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 80
57.1%
영업/정상 60
42.9%

Length

2024-04-20T23:35:48.918468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:35:49.225955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 80
57.1%
영업/정상 60
42.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
80 
0
58 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 80
57.1%
0 58
41.4%
3 2
 
1.4%

Length

2024-04-20T23:35:49.588272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:35:49.924629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 80
57.1%
0 58
41.4%
3 2
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐지
80 
운영
58 
재개
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 80
57.1%
운영 58
41.4%
재개 2
 
1.4%

Length

2024-04-20T23:35:50.396424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:35:50.704329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 80
57.1%
운영 58
41.4%
재개 2
 
1.4%

폐업일자
Date

MISSING 

Distinct63
Distinct (%)81.8%
Missing63
Missing (%)45.0%
Memory size1.2 KiB
Minimum2010-08-03 00:00:00
Maximum2023-04-06 00:00:00
2024-04-20T23:35:51.293882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:35:52.117329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing138
Missing (%)98.6%
Memory size1.2 KiB
Minimum2017-12-31 00:00:00
Maximum2022-06-30 00:00:00
2024-04-20T23:35:52.602806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:35:53.107721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing138
Missing (%)98.6%
Memory size1.2 KiB
Minimum2016-05-13 00:00:00
Maximum2019-03-28 00:00:00
2024-04-20T23:35:53.538206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:35:53.934407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

소재지전화
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)95.3%
Missing11
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean7.0474454 × 108
Minimum5.120034 × 108
Maximum7.0872506 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-20T23:35:54.365729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.120034 × 108
5-th percentile5.1203827 × 108
Q15.1337001 × 108
median5.1582919 × 108
Q35.1802204 × 108
95-th percentile5.1944404 × 108
Maximum7.0872506 × 109
Range6.5752472 × 109
Interquartile range (IQR)4652030

Descriptive statistics

Standard deviation1.0707796 × 109
Coefficient of variation (CV)1.5193869
Kurtosis30.415776
Mean7.0474454 × 108
Median Absolute Deviation (MAD)2351813
Skewness5.6156875
Sum9.0912046 × 1010
Variance1.146569 × 1018
MonotonicityNot monotonic
2024-04-20T23:35:54.843318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
516376609 2
 
1.4%
518532739 2
 
1.4%
515539996 2
 
1.4%
517026656 2
 
1.4%
515319018 2
 
1.4%
518677557 2
 
1.4%
514413023 1
 
0.7%
518184455 1
 
0.7%
518631456 1
 
0.7%
512421588 1
 
0.7%
Other values (113) 113
80.7%
(Missing) 11
 
7.9%
ValueCountFrequency (%)
512003402 1
0.7%
512021112 1
0.7%
512021166 1
0.7%
512028850 1
0.7%
512032244 1
0.7%
512033223 1
0.7%
512037474 1
0.7%
512039466 1
0.7%
512077207 1
0.7%
512414555 1
0.7%
ValueCountFrequency (%)
7087250633 1
0.7%
7082702500 1
0.7%
7082402465 1
0.7%
5199498891 1
0.7%
519995356 1
0.7%
519902419 1
0.7%
519444050 1
0.7%
519444022 1
0.7%
519280508 1
0.7%
519132450 1
0.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소재지전체주소
Text

MISSING 

Distinct120
Distinct (%)98.4%
Missing18
Missing (%)12.9%
Memory size1.2 KiB
2024-04-20T23:35:56.329601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length27.45082
Min length18

Characters and Unicode

Total characters3349
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)96.7%

Sample

1st row부산광역시 해운대구 우동 1185-74 301호
2nd row부산광역시 해운대구 재송동 1061-9
3rd row부산광역시 북구 덕천동 400-1 동강빌딩
4th row부산광역시 해운대구 반송동 298번지 1호 2층
5th row부산광역시 기장군 기장읍 대라리 168-4 명광빌딩 201호
ValueCountFrequency (%)
부산광역시 120
 
17.9%
부산진구 27
 
4.0%
2층 16
 
2.4%
1호 15
 
2.2%
3층 11
 
1.6%
해운대구 11
 
1.6%
북구 11
 
1.6%
사하구 10
 
1.5%
금정구 9
 
1.3%
사상구 8
 
1.2%
Other values (304) 433
64.5%
2024-04-20T23:35:58.954621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
20.9%
1 164
 
4.9%
부 160
 
4.8%
산 159
 
4.7%
동 141
 
4.2%
구 125
 
3.7%
광 123
 
3.7%
시 121
 
3.6%
역 120
 
3.6%
2 114
 
3.4%
Other values (163) 1421
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1888
56.4%
Space Separator 701
 
20.9%
Decimal Number 696
 
20.8%
Dash Punctuation 37
 
1.1%
Open Punctuation 11
 
0.3%
Close Punctuation 11
 
0.3%
Uppercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 160
 
8.5%
산 159
 
8.4%
동 141
 
7.5%
구 125
 
6.6%
광 123
 
6.5%
시 121
 
6.4%
역 120
 
6.4%
호 95
 
5.0%
지 83
 
4.4%
번 81
 
4.3%
Other values (144) 680
36.0%
Decimal Number
ValueCountFrequency (%)
1 164
23.6%
2 114
16.4%
3 97
13.9%
4 62
 
8.9%
0 58
 
8.3%
5 54
 
7.8%
8 41
 
5.9%
6 39
 
5.6%
9 35
 
5.0%
7 32
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1888
56.4%
Common 1458
43.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 160
 
8.5%
산 159
 
8.4%
동 141
 
7.5%
구 125
 
6.6%
광 123
 
6.5%
시 121
 
6.4%
역 120
 
6.4%
호 95
 
5.0%
지 83
 
4.4%
번 81
 
4.3%
Other values (144) 680
36.0%
Common
ValueCountFrequency (%)
701
48.1%
1 164
 
11.2%
2 114
 
7.8%
3 97
 
6.7%
4 62
 
4.3%
0 58
 
4.0%
5 54
 
3.7%
8 41
 
2.8%
6 39
 
2.7%
- 37
 
2.5%
Other values (6) 91
 
6.2%
Latin
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1888
56.4%
ASCII 1461
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
48.0%
1 164
 
11.2%
2 114
 
7.8%
3 97
 
6.6%
4 62
 
4.2%
0 58
 
4.0%
5 54
 
3.7%
8 41
 
2.8%
6 39
 
2.7%
- 37
 
2.5%
Other values (9) 94
 
6.4%
Hangul
ValueCountFrequency (%)
부 160
 
8.5%
산 159
 
8.4%
동 141
 
7.5%
구 125
 
6.6%
광 123
 
6.5%
시 121
 
6.4%
역 120
 
6.4%
호 95
 
5.0%
지 83
 
4.4%
번 81
 
4.3%
Other values (144) 680
36.0%

도로명전체주소
Text

MISSING 

Distinct125
Distinct (%)97.7%
Missing12
Missing (%)8.6%
Memory size1.2 KiB
2024-04-20T23:36:00.938328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37.5
Mean length30.578125
Min length20

Characters and Unicode

Total characters3914
Distinct characters201
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)95.3%

Sample

1st row부산광역시 해운대구 해운대로383번길 30, 3층 301호(우동)
2nd row부산광역시 해운대구 재반로103번길 14, 2층(재송동)
3rd row부산광역시 북구 백양대로 1204, 동강빌딩 4층(덕천동)
4th row부산광역시 해운대구 반송로892번길 8, 2층 (반송동)
5th row부산광역시 기장군 기장읍 대청로 42, 명광빌딩 2층
ValueCountFrequency (%)
부산광역시 128
 
17.6%
부산진구 25
 
3.4%
중앙대로 17
 
2.3%
3층 13
 
1.8%
사하구 11
 
1.5%
북구 11
 
1.5%
금정구 10
 
1.4%
해운대구 10
 
1.4%
동래구 10
 
1.4%
동구 10
 
1.4%
Other values (339) 481
66.3%
2024-04-20T23:36:02.963706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
598
 
15.3%
부 168
 
4.3%
산 162
 
4.1%
동 159
 
4.1%
시 139
 
3.6%
구 138
 
3.5%
( 134
 
3.4%
) 134
 
3.4%
광 133
 
3.4%
역 128
 
3.3%
Other values (191) 2021
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2341
59.8%
Space Separator 598
 
15.3%
Decimal Number 571
 
14.6%
Open Punctuation 134
 
3.4%
Close Punctuation 134
 
3.4%
Other Punctuation 126
 
3.2%
Dash Punctuation 8
 
0.2%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 168
 
7.2%
산 162
 
6.9%
동 159
 
6.8%
시 139
 
5.9%
구 138
 
5.9%
광 133
 
5.7%
역 128
 
5.5%
로 125
 
5.3%
층 89
 
3.8%
대 80
 
3.4%
Other values (174) 1020
43.6%
Decimal Number
ValueCountFrequency (%)
2 108
18.9%
1 103
18.0%
3 76
13.3%
4 56
9.8%
0 48
8.4%
8 40
 
7.0%
5 38
 
6.7%
7 37
 
6.5%
9 33
 
5.8%
6 32
 
5.6%
Space Separator
ValueCountFrequency (%)
598
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2341
59.8%
Common 1572
40.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 168
 
7.2%
산 162
 
6.9%
동 159
 
6.8%
시 139
 
5.9%
구 138
 
5.9%
광 133
 
5.7%
역 128
 
5.5%
로 125
 
5.3%
층 89
 
3.8%
대 80
 
3.4%
Other values (174) 1020
43.6%
Common
ValueCountFrequency (%)
598
38.0%
( 134
 
8.5%
) 134
 
8.5%
, 126
 
8.0%
2 108
 
6.9%
1 103
 
6.6%
3 76
 
4.8%
4 56
 
3.6%
0 48
 
3.1%
8 40
 
2.5%
Other values (6) 149
 
9.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2341
59.8%
ASCII 1573
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
598
38.0%
( 134
 
8.5%
) 134
 
8.5%
, 126
 
8.0%
2 108
 
6.9%
1 103
 
6.5%
3 76
 
4.8%
4 56
 
3.6%
0 48
 
3.1%
8 40
 
2.5%
Other values (7) 150
 
9.5%
Hangul
ValueCountFrequency (%)
부 168
 
7.2%
산 162
 
6.9%
동 159
 
6.8%
시 139
 
5.9%
구 138
 
5.9%
광 133
 
5.7%
역 128
 
5.5%
로 125
 
5.3%
층 89
 
3.8%
대 80
 
3.4%
Other values (174) 1020
43.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)37.1%
Missing105
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean26339.714
Minimum26110
Maximum26710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-20T23:36:03.360496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26110
5-th percentile26161
Q126230
median26320
Q326395
95-th percentile26584
Maximum26710
Range600
Interquartile range (IQR)165

Descriptive statistics

Standard deviation139.75789
Coefficient of variation (CV)0.0053059761
Kurtosis1.1568867
Mean26339.714
Median Absolute Deviation (MAD)90
Skewness0.94362879
Sum921890
Variance19532.269
MonotonicityNot monotonic
2024-04-20T23:36:03.797781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
26230 7
 
5.0%
26350 5
 
3.6%
26320 4
 
2.9%
26470 3
 
2.1%
26380 3
 
2.1%
26170 2
 
1.4%
26410 2
 
1.4%
26710 2
 
1.4%
26260 2
 
1.4%
26530 2
 
1.4%
Other values (3) 3
 
2.1%
(Missing) 105
75.0%
ValueCountFrequency (%)
26110 1
 
0.7%
26140 1
 
0.7%
26170 2
 
1.4%
26230 7
5.0%
26260 2
 
1.4%
26290 1
 
0.7%
26320 4
2.9%
26350 5
3.6%
26380 3
2.1%
26410 2
 
1.4%
ValueCountFrequency (%)
26710 2
 
1.4%
26530 2
 
1.4%
26470 3
2.1%
26410 2
 
1.4%
26380 3
2.1%
26350 5
3.6%
26320 4
2.9%
26290 1
 
0.7%
26260 2
 
1.4%
26230 7
5.0%

사업장명
Text

Distinct138
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-20T23:36:05.237463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length12.471429
Min length10

Characters and Unicode

Total characters1746
Distinct characters185
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)97.1%

Sample

1st row브레인요양보호사교육원
2nd row해운대요양보호사교육원
3rd row덕천요양보호사교육원
4th row참사랑요양보호사교육원
5th row소망요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 98
36.3%
부설 10
 
3.7%
교육원 8
 
3.0%
요양보호사 7
 
2.6%
안심생활 2
 
0.7%
양지 2
 
0.7%
심청이 1
 
0.4%
반송 1
 
0.4%
참사랑 1
 
0.4%
인성 1
 
0.4%
Other values (139) 139
51.5%
2024-04-20T23:36:07.757915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 159
 
9.1%
교 150
 
8.6%
육 142
 
8.1%
보 142
 
8.1%
원 142
 
8.1%
양 141
 
8.1%
요 139
 
8.0%
호 138
 
7.9%
130
 
7.4%
부 30
 
1.7%
Other values (175) 433
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1599
91.6%
Space Separator 130
 
7.4%
Uppercase Letter 9
 
0.5%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 159
 
9.9%
교 150
 
9.4%
육 142
 
8.9%
보 142
 
8.9%
원 142
 
8.9%
양 141
 
8.8%
요 139
 
8.7%
호 138
 
8.6%
부 30
 
1.9%
대 16
 
1.0%
Other values (164) 400
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
A 1
11.1%
J 1
11.1%
W 1
11.1%
C 1
11.1%
Y 1
11.1%
H 1
11.1%
B 1
11.1%
Space Separator
ValueCountFrequency (%)
130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1599
91.6%
Common 138
 
7.9%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 159
 
9.9%
교 150
 
9.4%
육 142
 
8.9%
보 142
 
8.9%
원 142
 
8.9%
양 141
 
8.8%
요 139
 
8.7%
호 138
 
8.6%
부 30
 
1.9%
대 16
 
1.0%
Other values (164) 400
25.0%
Latin
ValueCountFrequency (%)
S 2
22.2%
A 1
11.1%
J 1
11.1%
W 1
11.1%
C 1
11.1%
Y 1
11.1%
H 1
11.1%
B 1
11.1%
Common
ValueCountFrequency (%)
130
94.2%
( 4
 
2.9%
) 4
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1599
91.6%
ASCII 147
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 159
 
9.9%
교 150
 
9.4%
육 142
 
8.9%
보 142
 
8.9%
원 142
 
8.9%
양 141
 
8.8%
요 139
 
8.7%
호 138
 
8.6%
부 30
 
1.9%
대 16
 
1.0%
Other values (164) 400
25.0%
ASCII
ValueCountFrequency (%)
130
88.4%
( 4
 
2.7%
) 4
 
2.7%
S 2
 
1.4%
A 1
 
0.7%
J 1
 
0.7%
W 1
 
0.7%
C 1
 
0.7%
Y 1
 
0.7%
H 1
 
0.7%

최종수정시점
Date

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2010-07-12 18:03:10
Maximum2023-07-12 15:39:27
2024-04-20T23:36:08.369801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:36:08.932883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
73 
U
67 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 73
52.1%
U 67
47.9%

Length

2024-04-20T23:36:09.387779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:36:09.744707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 73
52.1%
u 67
47.9%

데이터갱신일자
Date

Distinct58
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-14 02:40:00
2024-04-20T23:36:10.105571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:36:10.600243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)98.6%
Missing66
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean387928.17
Minimum378603.48
Maximum401668.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-20T23:36:11.104990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378603.48
5-th percentile380096.1
Q1385354.63
median388219.08
Q3390203.58
95-th percentile396710.39
Maximum401668.45
Range23064.97
Interquartile range (IQR)4848.949

Descriptive statistics

Standard deviation4976.7074
Coefficient of variation (CV)0.01282894
Kurtosis0.82152013
Mean387928.17
Median Absolute Deviation (MAD)2184.5134
Skewness0.52248414
Sum28706685
Variance24767617
MonotonicityNot monotonic
2024-04-20T23:36:11.542730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395888.167910697 2
 
1.4%
381067.320399962 1
 
0.7%
382578.562683938 1
 
0.7%
382471.875875675 1
 
0.7%
388649.545806744 1
 
0.7%
388644.828513293 1
 
0.7%
383800.456189752 1
 
0.7%
389306.986426849 1
 
0.7%
387624.989707084 1
 
0.7%
388758.407651959 1
 
0.7%
Other values (63) 63
45.0%
(Missing) 66
47.1%
ValueCountFrequency (%)
378603.484341406 1
0.7%
378902.950423469 1
0.7%
379460.187336962 1
0.7%
379839.949418739 1
0.7%
380234.027024159 1
0.7%
380585.880007958 1
0.7%
380764.997170791 1
0.7%
381067.320399962 1
0.7%
381141.053269394 1
0.7%
381984.293245804 1
0.7%
ValueCountFrequency (%)
401668.454304426 1
0.7%
401391.37416922 1
0.7%
400599.91331495 1
0.7%
398237.363461482 1
0.7%
395888.167910697 2
1.4%
395809.885957911 1
0.7%
393369.320793605 1
0.7%
392423.669158271 1
0.7%
392370.49360385 1
0.7%
391788.802543476 1
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)98.6%
Missing66
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean187832.1
Minimum177055.55
Maximum198413.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-20T23:36:11.959648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177055.55
5-th percentile179403.4
Q1185188.56
median187847.48
Q3191463.08
95-th percentile195848.26
Maximum198413.27
Range21357.715
Interquartile range (IQR)6274.5127

Descriptive statistics

Standard deviation4973.2015
Coefficient of variation (CV)0.026476845
Kurtosis-0.43898709
Mean187832.1
Median Absolute Deviation (MAD)3451.5871
Skewness-0.13481069
Sum13899575
Variance24732733
MonotonicityNot monotonic
2024-04-20T23:36:12.319568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194489.213658893 2
 
1.4%
187194.092227453 1
 
0.7%
191907.270869556 1
 
0.7%
191337.559320121 1
 
0.7%
191668.881450636 1
 
0.7%
187911.443870304 1
 
0.7%
181030.551709861 1
 
0.7%
191351.326138058 1
 
0.7%
186442.636762676 1
 
0.7%
188079.890003368 1
 
0.7%
Other values (63) 63
45.0%
(Missing) 66
47.1%
ValueCountFrequency (%)
177055.552348255 1
0.7%
177277.315650526 1
0.7%
178919.973299899 1
0.7%
179074.881612575 1
0.7%
179580.295176299 1
0.7%
180077.763592253 1
0.7%
180282.579541894 1
0.7%
180305.158017524 1
0.7%
180961.765802642 1
0.7%
181030.551709861 1
0.7%
ValueCountFrequency (%)
198413.266906048 1
0.7%
197238.082748025 1
0.7%
196800.01715156 1
0.7%
195984.923814147 1
0.7%
195774.675211598 1
0.7%
194510.188105903 1
0.7%
194489.213658893 2
1.4%
194122.808322223 1
0.7%
194055.887290449 1
0.7%
193357.752302511 1
0.7%

보유자격증명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

국비지원여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

담당직원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)보유자격증명국비지원여부담당직원내용삭제일자Unnamed: 32
01요양보호사교육기관11_49_01_P6260000202362600000040002-202306302023-06-30<NA>1영업/정상0운영<NA><NA><NA><NA>517423935<NA><NA>부산광역시 해운대구 우동 1185-74 301호부산광역시 해운대구 해운대로383번길 30, 3층 301호(우동)<NA>브레인요양보호사교육원2023-07-04 10:02:19U2023-07-06 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
12요양보호사교육기관11_49_01_P6260000201062600000040045-201007062010-07-06<NA>1영업/정상0운영<NA><NA><NA><NA>515235339<NA><NA>부산광역시 해운대구 재송동 1061-9부산광역시 해운대구 재반로103번길 14, 2층(재송동)<NA>해운대요양보호사교육원2023-06-12 15:39:29U2023-06-14 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
23요양보호사교육기관11_49_01_P6260000201062600000040071-201010112010-10-11<NA>1영업/정상0운영<NA><NA><NA><NA>513331310<NA><NA>부산광역시 북구 덕천동 400-1 동강빌딩부산광역시 북구 백양대로 1204, 동강빌딩 4층(덕천동)<NA>덕천요양보호사교육원2023-07-11 14:00:13U2023-07-13 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
34요양보호사교육기관11_49_01_P6260000201562600000040004-201507132015-07-13<NA>1영업/정상0운영<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 298번지 1호 2층부산광역시 해운대구 반송로892번길 8, 2층 (반송동)<NA>참사랑요양보호사교육원2023-05-16 10:45:27U2023-05-18 02:40:00<NA>395809.885958194510.188106<NA><NA><NA><NA><NA>
45요양보호사교육기관11_49_01_P6260000201562600000040006-201512142015-12-14<NA>1영업/정상0운영<NA><NA><NA><NA>519444050<NA><NA>부산광역시 기장군 기장읍 대라리 168-4 명광빌딩 201호부산광역시 기장군 기장읍 대청로 42, 명광빌딩 2층<NA>소망요양보호사교육원2023-06-29 16:21:23U2023-07-01 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
56요양보호사교육기관11_49_01_P6260000201062600000040007-201006042010-06-04<NA>1영업/정상0운영<NA><NA><NA><NA>517513663<NA><NA>부산광역시 연제구 연산8동 383번지 23호 (2층)부산광역시 연제구 안연로 1 (연산동,(2층))<NA>참빛 요양보호사교육원2023-03-15 13:34:28U2023-03-17 02:40:00<NA>391287.471123189657.60597<NA><NA><NA><NA><NA>
67요양보호사교육기관11_49_01_P6260000201062600000040070-201010112010-10-11<NA>1영업/정상0운영<NA><NA><NA><NA>7082402465<NA><NA>부산광역시 북구 덕천동 352-8 청림빌딩6층부산광역시 북구 낙동대로1781번길 1, 청림빌딩 6층 (덕천동)<NA>삼성실버 요양보호사교육원2023-06-14 10:03:15U2023-06-16 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
78요양보호사교육기관11_49_01_P6260000201062600000040093-201010252010-10-25<NA>1영업/정상0운영<NA><NA><NA><NA>512477255<NA><NA>부산광역시 중구 동광동4가 230번지 1호 502호부산광역시 중구 구덕로 37, 6층 (남포동4가)<NA>성산 요양보호사교육원2023-07-07 10:37:43U2023-07-09 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
89요양보호사교육기관11_49_01_P6260000201062600000040023-201006112010-06-11<NA>1영업/정상0운영<NA><NA><NA><NA>516333323<NA><NA>부산광역시 부산진구 범천1동 870번지 1호 3층부산광역시 부산진구 중앙대로 621 (범천동,3층)<NA>뉴중앙 요양보호사교육원2022-08-04 11:19:59U2022-08-06 02:40:00<NA>387558.514002185158.362348<NA><NA><NA><NA><NA>
910요양보호사교육기관11_49_01_P6260000201662600000040001-201601272016-01-27<NA>1영업/정상0운영<NA><NA><NA><NA>7082702500<NA><NA><NA>부산광역시 동래구 충렬대로137번길 4, 6층 (온천동,상현빌딩)<NA>동래삼성실버요양보호사교육원2022-12-13 15:01:12U2022-12-15 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)보유자격증명국비지원여부담당직원내용삭제일자Unnamed: 32
130131요양보호사교육기관11_49_01_P6260000201062600000040095-201010252010-10-25<NA>3폐업1폐지2011-02-10<NA><NA><NA>513168255<NA><NA>부산광역시 사상구 괘법동 511번지 2호 2층부산광역시 사상구 사상로148번길 25 (괘법동,2층)26530샘물 요양보호사교육원2010-10-26 09:21:59I2018-08-31 23:59:59<NA>381141.053269186313.167239<NA><NA><NA><NA><NA>
131132요양보호사교육기관11_49_01_P6260000201062600000040098-201010252010-10-25<NA>3폐업1폐지2010-12-22<NA><NA><NA>518187578<NA><NA>부산 부산진구 양정1동 391번지 10호 2층부산광역시 부산진구 동평로420번길 28 (양정동,2층)26230아산 요양보호사교육원2010-10-29 16:42:52I2018-08-31 23:59:59<NA>388472.360041187842.952826<NA><NA><NA><NA><NA>
132133요양보호사교육기관11_49_01_P6260000201062600000040011-201006052010-06-05<NA>3폐업1폐지2015-07-31<NA><NA><NA>518503108<NA><NA>부산광역시 부산진구 양정1동 1050번지 부산여자대학<NA><NA>부산여자대학 요양보호사교육원2015-08-06 15:51:54I2018-08-31 23:59:59<NA><NA><NA><NA><NA><NA><NA><NA>
133134요양보호사교육기관11_49_01_P6260000201062600000040037-201006222010-06-22<NA>3폐업1폐지2012-09-04<NA><NA><NA>514413023<NA><NA>부산광역시 남구 문현2동 517번지 3호 3층부산광역시 남구 전포대로 108-1 (문현동,3층)26290시티 요양보호사교육원2012-04-17 11:29:44I2018-08-31 23:59:59<NA>388302.76489184987.804782<NA><NA><NA><NA><NA>
134135요양보호사교육기관11_49_01_P6260000201062600000040043-201007062010-07-06<NA>3폐업1폐지2015-07-31<NA><NA><NA>515134567<NA><NA>부산광역시 금정구 구서2동 177번지 25호 대원빌딩 3층부산광역시 금정구 중앙대로 1927 (구서동)<NA>세영 요양보호사교육원2015-08-06 15:53:47I2018-08-31 23:59:59<NA>390235.603407197238.082748<NA><NA><NA><NA><NA>
135136요양보호사교육기관11_49_01_P6260000201062600000040058-201009022010-09-02<NA>3폐업1폐지2011-01-19<NA><NA><NA>518022038<NA><NA>부산광역시 부산진구 전포2동 874번지 13호 레그늄오피스텔 101호, 102호부산광역시 부산진구 중앙대로 800 (전포동,레그늄오피스텔 101호, 102호)26230그린케어 요양보호사교육원2010-10-29 17:55:17I2018-08-31 23:59:59<NA>387957.596839186815.652009<NA><NA><NA><NA><NA>
136137요양보호사교육기관11_49_01_P6260000201062600000040079-201010192010-10-19<NA>3폐업1폐지2012-10-25<NA><NA><NA>513435664<NA><NA>부산광역시 북구 구포3동 1255번지 2호부산광역시 북구 시랑로114번길 45 (구포동)26320JS 요양보호사교육원2012-04-05 11:40:13I2018-08-31 23:59:59<NA>382865.897095190186.827805<NA><NA><NA><NA><NA>
137138요양보호사교육기관11_49_01_P6260000202062600000040001-202011262020-11-26<NA>3폐업1폐지2020-11-26<NA><NA><NA><NA><NA><NA>부산광역시 영도구 대교동1가 39번지부산광역시 영도구 태종로 47, 신일빌딩 201호 (대교동1가)<NA>은하수요양보호사교육원2020-11-26 10:02:01I2020-11-28 00:23:08<NA><NA><NA><NA><NA><NA><NA><NA>
138139요양보호사교육기관11_49_01_P6260000201062600000040041-201007062010-07-06<NA>1영업/정상3재개<NA><NA>2017-12-312016-05-13515139088<NA><NA>부산광역시 금정구 구서동 163-25부산광역시 금정구 중앙대로 1949, 2층 (구서동)<NA>금강 요양보호사교육원2023-03-10 13:39:06U2023-03-12 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>
139140요양보호사교육기관11_49_01_P6260000201062600000040048-201007152010-07-15<NA>1영업/정상3재개<NA><NA>2022-06-302019-03-28516215619<NA><NA>부산광역시 남구 문현동 247-9 관인새문헌학원 201호부산광역시 남구 수영로 42, 관인새문헌학원 2층(문현동)<NA>고려 요양보호사교육원2022-11-29 15:00:50U2022-12-01 02:40:00<NA><NA><NA><NA><NA><NA><NA><NA>