Overview

Dataset statistics

Number of variables33
Number of observations131
Missing cells1612
Missing cells (%)37.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.8 KiB
Average record size in memory288.0 B

Variable types

Numeric8
Categorical10
Text4
Unsupported10
DateTime1

Dataset

Description2022-09-01
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
휴업종료일자 is highly imbalanced (93.5%)Imbalance
재개업일자 is highly imbalanced (93.5%)Imbalance
인허가취소일자 has 131 (100.0%) missing valuesMissing
폐업일자 has 55 (42.0%) missing valuesMissing
휴업시작일자 has 131 (100.0%) missing valuesMissing
소재지전화 has 10 (7.6%) missing valuesMissing
소재지면적 has 131 (100.0%) missing valuesMissing
소재지우편번호 has 131 (100.0%) missing valuesMissing
소재지전체주소 has 18 (13.7%) missing valuesMissing
도로명전체주소 has 13 (9.9%) missing valuesMissing
도로명우편번호 has 96 (73.3%) missing valuesMissing
업태구분명 has 131 (100.0%) missing valuesMissing
좌표정보(x) has 55 (42.0%) missing valuesMissing
좌표정보(y) has 55 (42.0%) missing valuesMissing
보유자격증명 has 131 (100.0%) missing valuesMissing
국비지원여부 has 131 (100.0%) missing valuesMissing
담당직원내용 has 131 (100.0%) missing valuesMissing
삭제일자 has 131 (100.0%) missing valuesMissing
Unnamed: 32 has 131 (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 14:27:05.971932
Analysis finished2024-04-20 14:27:06.958876
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:07.157765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2024-04-20T23:27:07.580068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
요양보호사교육기관
131 

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 131
100.0%

Length

2024-04-20T23:27:07.950698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:08.255780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양보호사교육기관 131
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11_49_01_P
131 

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 131
100.0%

Length

2024-04-20T23:27:08.574250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:08.885323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_49_01_p 131
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
6260000
131 

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 131
100.0%

Length

2024-04-20T23:27:09.266379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:09.601327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 131
100.0%

관리번호
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-20T23:27:10.300622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters3537
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

Unique131 ?
Unique (%)100.0%

Sample

1st row201062600000040045-20100706
2nd row201062600000040071-20101011
3rd row201562600000040004-20150713
4th row201562600000040006-20151214
5th row201062600000040007-20100604
ValueCountFrequency (%)
201062600000040045-20100706 1
 
0.8%
201762600000040001-20170102 1
 
0.8%
201062600000040047-20100706 1
 
0.8%
201062600000040042-20100706 1
 
0.8%
201062600000040028-20100622 1
 
0.8%
201062600000040030-20100622 1
 
0.8%
201062600000040031-20100622 1
 
0.8%
201062600000040032-20100622 1
 
0.8%
201062600000040033-20100622 1
 
0.8%
201062600000040020-20100611 1
 
0.8%
Other values (121) 121
92.4%
2024-04-20T23:27:11.487153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1729
48.9%
2 493
 
13.9%
1 413
 
11.7%
6 358
 
10.1%
4 185
 
5.2%
- 131
 
3.7%
5 62
 
1.8%
7 54
 
1.5%
9 44
 
1.2%
8 37
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3406
96.3%
Dash Punctuation 131
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1729
50.8%
2 493
 
14.5%
1 413
 
12.1%
6 358
 
10.5%
4 185
 
5.4%
5 62
 
1.8%
7 54
 
1.6%
9 44
 
1.3%
8 37
 
1.1%
3 31
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1729
48.9%
2 493
 
13.9%
1 413
 
11.7%
6 358
 
10.1%
4 185
 
5.2%
- 131
 
3.7%
5 62
 
1.8%
7 54
 
1.5%
9 44
 
1.2%
8 37
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1729
48.9%
2 493
 
13.9%
1 413
 
11.7%
6 358
 
10.1%
4 185
 
5.2%
- 131
 
3.7%
5 62
 
1.8%
7 54
 
1.5%
9 44
 
1.2%
8 37
 
1.0%

인허가일자
Real number (ℝ)

Distinct45
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20114360
Minimum20100603
Maximum20220727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:11.932728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100603
5-th percentile20100604
Q120100622
median20100917
Q320101025
95-th percentile20165609
Maximum20220727
Range120124
Interquartile range (IQR)403

Descriptive statistics

Standard deviation25880.047
Coefficient of variation (CV)0.0012866453
Kurtosis2.2240008
Mean20114360
Median Absolute Deviation (MAD)295
Skewness1.7413329
Sum2.6349812 × 109
Variance6.6977686 × 108
MonotonicityNot monotonic
2024-04-20T23:27:12.346663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20100622 13
 
9.9%
20101011 12
 
9.2%
20101019 12
 
9.2%
20100611 11
 
8.4%
20100605 8
 
6.1%
20100706 7
 
5.3%
20100604 7
 
5.3%
20101025 7
 
5.3%
20100902 7
 
5.3%
20100811 4
 
3.1%
Other values (35) 43
32.8%
ValueCountFrequency (%)
20100603 1
 
0.8%
20100604 7
5.3%
20100605 8
6.1%
20100611 11
8.4%
20100622 13
9.9%
20100706 7
5.3%
20100715 3
 
2.3%
20100803 3
 
2.3%
20100811 4
 
3.1%
20100902 7
5.3%
ValueCountFrequency (%)
20220727 1
0.8%
20201126 1
0.8%
20170724 2
1.5%
20170411 1
0.8%
20170222 1
0.8%
20170102 1
0.8%
20161116 1
0.8%
20161028 1
0.8%
20160824 1
0.8%
20160725 1
0.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
79 
1
52 

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 79
60.3%
1 52
39.7%

Length

2024-04-20T23:27:12.776004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:13.086151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 79
60.3%
1 52
39.7%

영업상태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
79 
영업/정상
52 

Length

Max length5
Median length2
Mean length3.1908397
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 79
60.3%
영업/정상 52
39.7%

Length

2024-04-20T23:27:13.436215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:13.762946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 79
60.3%
영업/정상 52
39.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
79 
0
51 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 79
60.3%
0 51
38.9%
3 1
 
0.8%

Length

2024-04-20T23:27:14.101689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:14.420129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
60.3%
0 51
38.9%
3 1
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐지
79 
운영
51 
재개
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 79
60.3%
운영 51
38.9%
재개 1
 
0.8%

Length

2024-04-20T23:27:14.770249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:15.083600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 79
60.3%
운영 51
38.9%
재개 1
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)81.6%
Missing55
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean20137274
Minimum20100803
Maximum20201126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:15.457900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100803
5-th percentile20101222
Q120111020
median20125876
Q320160923
95-th percentile20180207
Maximum20201126
Range100323
Interquartile range (IQR)49903.5

Descriptive statistics

Standard deviation26365.45
Coefficient of variation (CV)0.001309286
Kurtosis-1.1829712
Mean20137274
Median Absolute Deviation (MAD)24427.5
Skewness0.33891384
Sum1.5304328 × 109
Variance6.9513693 × 108
MonotonicityNot monotonic
2024-04-20T23:27:15.920917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150731 7
 
5.3%
20160923 3
 
2.3%
20140415 2
 
1.5%
20110119 2
 
1.5%
20170724 2
 
1.5%
20171012 2
 
1.5%
20161230 2
 
1.5%
20101222 2
 
1.5%
20150930 1
 
0.8%
20151210 1
 
0.8%
Other values (52) 52
39.7%
(Missing) 55
42.0%
ValueCountFrequency (%)
20100803 1
0.8%
20101013 1
0.8%
20101119 1
0.8%
20101222 2
1.5%
20110119 2
1.5%
20110210 1
0.8%
20110214 1
0.8%
20110331 1
0.8%
20110412 1
0.8%
20110518 1
0.8%
ValueCountFrequency (%)
20201126 1
0.8%
20181129 1
0.8%
20180411 1
0.8%
20180209 1
0.8%
20180206 1
0.8%
20180110 1
0.8%
20171229 1
0.8%
20171112 1
0.8%
20171012 2
1.5%
20170918 1
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
130 
20171231
 
1

Length

Max length8
Median length4
Mean length4.0305344
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 130
99.2%
20171231 1
 
0.8%

Length

2024-04-20T23:27:16.371813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:16.719204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
99.2%
20171231 1
 
0.8%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
130 
20160513
 
1

Length

Max length8
Median length4
Mean length4.0305344
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 130
99.2%
20160513 1
 
0.8%

Length

2024-04-20T23:27:17.080759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:17.423555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
99.2%
20160513 1
 
0.8%

소재지전화
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)95.9%
Missing10
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean7.1721455 × 108
Minimum5.120034 × 108
Maximum7.0872506 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:17.751199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.120034 × 108
5-th percentile5.1203747 × 108
Q15.1337001 × 108
median5.155875 × 108
Q35.1808563 × 108
95-th percentile5.1944405 × 108
Maximum7.0872506 × 109
Range6.5752472 × 109
Interquartile range (IQR)4715624

Descriptive statistics

Standard deviation1.1047525 × 109
Coefficient of variation (CV)1.5403376
Kurtosis28.292713
Mean7.1721455 × 108
Median Absolute Deviation (MAD)2249761
Skewness5.4258624
Sum8.678296 × 1010
Variance1.2204782 × 1018
MonotonicityNot monotonic
2024-04-20T23:27:18.189735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
516376609 2
 
1.5%
518532739 2
 
1.5%
515539996 2
 
1.5%
515319018 2
 
1.5%
518677557 2
 
1.5%
516333323 1
 
0.8%
512039466 1
 
0.8%
513146614 1
 
0.8%
513344200 1
 
0.8%
513337739 1
 
0.8%
Other values (106) 106
80.9%
(Missing) 10
 
7.6%
ValueCountFrequency (%)
512003402 1
0.8%
512021112 1
0.8%
512021166 1
0.8%
512028850 1
0.8%
512032244 1
0.8%
512033223 1
0.8%
512037474 1
0.8%
512039466 1
0.8%
512414555 1
0.8%
512421588 1
0.8%
ValueCountFrequency (%)
7087250633 1
0.8%
7082702500 1
0.8%
7082402465 1
0.8%
5199498891 1
0.8%
519995356 1
0.8%
519902419 1
0.8%
519444050 1
0.8%
519444022 1
0.8%
519132450 1
0.8%
518978288 1
0.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

소재지전체주소
Text

MISSING 

Distinct112
Distinct (%)99.1%
Missing18
Missing (%)13.7%
Memory size1.1 KiB
2024-04-20T23:27:19.698149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length27.39823
Min length18

Characters and Unicode

Total characters3096
Distinct characters159
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

Unique111 ?
Unique (%)98.2%

Sample

1st row부산광역시 해운대구 재송동 1061-9
2nd row부산광역시 북구 덕천동 400-1 동강빌딩
3rd row부산광역시 해운대구 반송동 298번지 1호 2층
4th row부산광역시 기장군 기장읍 대라리 168-4 명광빌딩 201호
5th row부산광역시 연제구 연산8동 383번지 23호 (2층)
ValueCountFrequency (%)
부산광역시 111
 
17.8%
부산진구 27
 
4.3%
2층 16
 
2.6%
1호 15
 
2.4%
북구 11
 
1.8%
3층 11
 
1.8%
사하구 10
 
1.6%
금정구 9
 
1.4%
해운대구 8
 
1.3%
동래구 8
 
1.3%
Other values (280) 396
63.7%
2024-04-20T23:27:21.247519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
664
21.4%
부 151
 
4.9%
1 151
 
4.9%
산 150
 
4.8%
동 130
 
4.2%
구 115
 
3.7%
광 114
 
3.7%
시 112
 
3.6%
역 111
 
3.6%
2 109
 
3.5%
Other values (149) 1289
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1748
56.5%
Space Separator 664
 
21.4%
Decimal Number 631
 
20.4%
Dash Punctuation 26
 
0.8%
Close Punctuation 11
 
0.4%
Open Punctuation 11
 
0.4%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 151
 
8.6%
산 150
 
8.6%
동 130
 
7.4%
구 115
 
6.6%
광 114
 
6.5%
시 112
 
6.4%
역 111
 
6.4%
호 91
 
5.2%
지 83
 
4.7%
번 82
 
4.7%
Other values (130) 609
34.8%
Decimal Number
ValueCountFrequency (%)
1 151
23.9%
2 109
17.3%
3 88
13.9%
4 56
 
8.9%
5 49
 
7.8%
0 49
 
7.8%
6 37
 
5.9%
8 36
 
5.7%
9 29
 
4.6%
7 27
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
I 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1748
56.5%
Common 1345
43.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 151
 
8.6%
산 150
 
8.6%
동 130
 
7.4%
구 115
 
6.6%
광 114
 
6.5%
시 112
 
6.4%
역 111
 
6.4%
호 91
 
5.2%
지 83
 
4.7%
번 82
 
4.7%
Other values (130) 609
34.8%
Common
ValueCountFrequency (%)
664
49.4%
1 151
 
11.2%
2 109
 
8.1%
3 88
 
6.5%
4 56
 
4.2%
5 49
 
3.6%
0 49
 
3.6%
6 37
 
2.8%
8 36
 
2.7%
9 29
 
2.2%
Other values (6) 77
 
5.7%
Latin
ValueCountFrequency (%)
A 1
33.3%
I 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1748
56.5%
ASCII 1348
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
664
49.3%
1 151
 
11.2%
2 109
 
8.1%
3 88
 
6.5%
4 56
 
4.2%
5 49
 
3.6%
0 49
 
3.6%
6 37
 
2.7%
8 36
 
2.7%
9 29
 
2.2%
Other values (9) 80
 
5.9%
Hangul
ValueCountFrequency (%)
부 151
 
8.6%
산 150
 
8.6%
동 130
 
7.4%
구 115
 
6.6%
광 114
 
6.5%
시 112
 
6.4%
역 111
 
6.4%
호 91
 
5.2%
지 83
 
4.7%
번 82
 
4.7%
Other values (130) 609
34.8%

도로명전체주소
Text

MISSING 

Distinct116
Distinct (%)98.3%
Missing13
Missing (%)9.9%
Memory size1.1 KiB
2024-04-20T23:27:22.371722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length30.076271
Min length20

Characters and Unicode

Total characters3549
Distinct characters189
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

Unique114 ?
Unique (%)96.6%

Sample

1st row부산광역시 해운대구 재반로103번길 14, 2층(재송동)
2nd row부산광역시 북구 백양대로 1204, 동강빌딩 4층(덕천동)
3rd row부산광역시 해운대구 반송로892번길 8, 2층 (반송동)
4th row부산광역시 기장군 기장읍 대청로 42, 명광빌딩 2층
5th row부산광역시 연제구 안연로 1 (연산동,(2층))
ValueCountFrequency (%)
부산광역시 118
 
17.8%
부산진구 25
 
3.8%
중앙대로 16
 
2.4%
북구 11
 
1.7%
사하구 11
 
1.7%
동구 10
 
1.5%
3층 10
 
1.5%
금정구 10
 
1.5%
동래구 10
 
1.5%
2층 9
 
1.4%
Other values (310) 434
65.4%
2024-04-20T23:27:23.874635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
 
15.4%
부 158
 
4.5%
산 151
 
4.3%
동 147
 
4.1%
시 129
 
3.6%
구 126
 
3.6%
) 124
 
3.5%
( 124
 
3.5%
광 123
 
3.5%
역 118
 
3.3%
Other values (179) 1803
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2129
60.0%
Space Separator 546
 
15.4%
Decimal Number 504
 
14.2%
Close Punctuation 124
 
3.5%
Open Punctuation 124
 
3.5%
Other Punctuation 113
 
3.2%
Dash Punctuation 7
 
0.2%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 158
 
7.4%
산 151
 
7.1%
동 147
 
6.9%
시 129
 
6.1%
구 126
 
5.9%
광 123
 
5.8%
역 118
 
5.5%
로 115
 
5.4%
층 80
 
3.8%
대 73
 
3.4%
Other values (162) 909
42.7%
Decimal Number
ValueCountFrequency (%)
2 97
19.2%
1 91
18.1%
3 61
12.1%
4 52
10.3%
0 38
 
7.5%
5 36
 
7.1%
7 35
 
6.9%
8 35
 
6.9%
9 31
 
6.2%
6 28
 
5.6%
Space Separator
ValueCountFrequency (%)
546
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2129
60.0%
Common 1419
40.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 158
 
7.4%
산 151
 
7.1%
동 147
 
6.9%
시 129
 
6.1%
구 126
 
5.9%
광 123
 
5.8%
역 118
 
5.5%
로 115
 
5.4%
층 80
 
3.8%
대 73
 
3.4%
Other values (162) 909
42.7%
Common
ValueCountFrequency (%)
546
38.5%
) 124
 
8.7%
( 124
 
8.7%
, 113
 
8.0%
2 97
 
6.8%
1 91
 
6.4%
3 61
 
4.3%
4 52
 
3.7%
0 38
 
2.7%
5 36
 
2.5%
Other values (6) 137
 
9.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2129
60.0%
ASCII 1420
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
38.5%
) 124
 
8.7%
( 124
 
8.7%
, 113
 
8.0%
2 97
 
6.8%
1 91
 
6.4%
3 61
 
4.3%
4 52
 
3.7%
0 38
 
2.7%
5 36
 
2.5%
Other values (7) 138
 
9.7%
Hangul
ValueCountFrequency (%)
부 158
 
7.4%
산 151
 
7.1%
동 147
 
6.9%
시 129
 
6.1%
구 126
 
5.9%
광 123
 
5.8%
역 118
 
5.5%
로 115
 
5.4%
층 80
 
3.8%
대 73
 
3.4%
Other values (162) 909
42.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)37.1%
Missing96
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean26334.571
Minimum26110
Maximum26710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:24.074157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26110
5-th percentile26161
Q126230
median26320
Q326380
95-th percentile26584
Maximum26710
Range600
Interquartile range (IQR)150

Descriptive statistics

Standard deviation137.93312
Coefficient of variation (CV)0.0052377204
Kurtosis1.5388992
Mean26334.571
Median Absolute Deviation (MAD)90
Skewness1.0737853
Sum921710
Variance19025.546
MonotonicityNot monotonic
2024-04-20T23:27:24.259529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
26230 7
 
5.3%
26320 6
 
4.6%
26350 4
 
3.1%
26380 3
 
2.3%
26170 2
 
1.5%
26470 2
 
1.5%
26410 2
 
1.5%
26710 2
 
1.5%
26260 2
 
1.5%
26530 2
 
1.5%
Other values (3) 3
 
2.3%
(Missing) 96
73.3%
ValueCountFrequency (%)
26110 1
 
0.8%
26140 1
 
0.8%
26170 2
 
1.5%
26230 7
5.3%
26260 2
 
1.5%
26290 1
 
0.8%
26320 6
4.6%
26350 4
3.1%
26380 3
2.3%
26410 2
 
1.5%
ValueCountFrequency (%)
26710 2
 
1.5%
26530 2
 
1.5%
26470 2
 
1.5%
26410 2
 
1.5%
26380 3
2.3%
26350 4
3.1%
26320 6
4.6%
26290 1
 
0.8%
26260 2
 
1.5%
26230 7
5.3%

사업장명
Text

Distinct130
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-20T23:27:25.423481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length12.564885
Min length10

Characters and Unicode

Total characters1646
Distinct characters182
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

Unique129 ?
Unique (%)98.5%

Sample

1st row해운대요양보호사교육원
2nd row덕천요양보호사교육원
3rd row참사랑요양보호사교육원
4th row소망요양보호사교육원
5th row참빛 요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 91
35.8%
부설 10
 
3.9%
교육원 8
 
3.1%
요양보호사 7
 
2.8%
안심생활 2
 
0.8%
심청이 1
 
0.4%
미래사회 1
 
0.4%
환희 1
 
0.4%
나눔 1
 
0.4%
자모사랑 1
 
0.4%
Other values (131) 131
51.6%
2024-04-20T23:27:27.027364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 150
 
9.1%
교 141
 
8.6%
육 133
 
8.1%
보 133
 
8.1%
원 133
 
8.1%
요 130
 
7.9%
양 130
 
7.9%
호 129
 
7.8%
123
 
7.5%
부 29
 
1.8%
Other values (172) 415
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1506
91.5%
Space Separator 123
 
7.5%
Uppercase Letter 9
 
0.5%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 150
 
10.0%
교 141
 
9.4%
육 133
 
8.8%
보 133
 
8.8%
원 133
 
8.8%
요 130
 
8.6%
양 130
 
8.6%
호 129
 
8.6%
부 29
 
1.9%
대 16
 
1.1%
Other values (161) 382
25.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
H 1
11.1%
B 1
11.1%
A 1
11.1%
C 1
11.1%
W 1
11.1%
Y 1
11.1%
J 1
11.1%
Space Separator
ValueCountFrequency (%)
123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1506
91.5%
Common 131
 
8.0%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 150
 
10.0%
교 141
 
9.4%
육 133
 
8.8%
보 133
 
8.8%
원 133
 
8.8%
요 130
 
8.6%
양 130
 
8.6%
호 129
 
8.6%
부 29
 
1.9%
대 16
 
1.1%
Other values (161) 382
25.4%
Latin
ValueCountFrequency (%)
S 2
22.2%
H 1
11.1%
B 1
11.1%
A 1
11.1%
C 1
11.1%
W 1
11.1%
Y 1
11.1%
J 1
11.1%
Common
ValueCountFrequency (%)
123
93.9%
( 4
 
3.1%
) 4
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1506
91.5%
ASCII 140
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 150
 
10.0%
교 141
 
9.4%
육 133
 
8.8%
보 133
 
8.8%
원 133
 
8.8%
요 130
 
8.6%
양 130
 
8.6%
호 129
 
8.6%
부 29
 
1.9%
대 16
 
1.1%
Other values (161) 382
25.4%
ASCII
ValueCountFrequency (%)
123
87.9%
( 4
 
2.9%
) 4
 
2.9%
S 2
 
1.4%
H 1
 
0.7%
B 1
 
0.7%
A 1
 
0.7%
C 1
 
0.7%
W 1
 
0.7%
Y 1
 
0.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0171651 × 1013
Minimum2.0100712 × 1013
Maximum2.0220728 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:27.451066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100712 × 1013
5-th percentile2.0110217 × 1013
Q12.0120675 × 1013
median2.0170222 × 1013
Q32.0220322 × 1013
95-th percentile2.0220713 × 1013
Maximum2.0220728 × 1013
Range1.2001599 × 1011
Interquartile range (IQR)9.964756 × 1010

Descriptive statistics

Standard deviation4.5157996 × 1010
Coefficient of variation (CV)0.0022386862
Kurtosis-1.5465808
Mean2.0171651 × 1013
Median Absolute Deviation (MAD)5.0093997 × 1010
Skewness-0.21989321
Sum2.6424863 × 1015
Variance2.0392446 × 1021
MonotonicityNot monotonic
2024-04-20T23:27:28.118817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220614102746 1
 
0.8%
20110316093310 1
 
0.8%
20100715200447 1
 
0.8%
20110315174234 1
 
0.8%
20110315183547 1
 
0.8%
20120619110524 1
 
0.8%
20110316135111 1
 
0.8%
20160329144223 1
 
0.8%
20110118202945 1
 
0.8%
20110318162422 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
20100712180310 1
0.8%
20100715200447 1
0.8%
20101025194714 1
0.8%
20101026092159 1
0.8%
20101029164252 1
0.8%
20101029175517 1
0.8%
20110118202945 1
0.8%
20110315155721 1
0.8%
20110315163154 1
0.8%
20110315171151 1
0.8%
ValueCountFrequency (%)
20220728170418 1
0.8%
20220727143512 1
0.8%
20220727100307 1
0.8%
20220726151726 1
0.8%
20220722104644 1
0.8%
20220715140534 1
0.8%
20220713160421 1
0.8%
20220712193815 1
0.8%
20220708095928 1
0.8%
20220705095201 1
0.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
73 
U
58 

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
55.7%
U 58
44.3%

Length

2024-04-20T23:27:28.474540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:27:28.792405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 73
55.7%
u 58
44.3%

데이터갱신일자
Date

Distinct51
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-30 02:40:00
2024-04-20T23:27:29.114277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:27:29.718132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)98.7%
Missing55
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean387772.71
Minimum378603.48
Maximum401668.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:30.160389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378603.48
5-th percentile380135.51
Q1384882.48
median388046.5
Q3390223.92
95-th percentile395989.26
Maximum401668.45
Range23064.965
Interquartile range (IQR)5341.4407

Descriptive statistics

Standard deviation4884.2546
Coefficient of variation (CV)0.012595663
Kurtosis0.5825076
Mean387772.71
Median Absolute Deviation (MAD)2370.3072
Skewness0.44133943
Sum29470726
Variance23855943
MonotonicityNot monotonic
2024-04-20T23:27:30.618309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395888.167910697 2
 
1.5%
396292.555984134 1
 
0.8%
382578.562683938 1
 
0.8%
382471.875875289 1
 
0.8%
388649.545806744 1
 
0.8%
388644.828513293 1
 
0.8%
383800.456189752 1
 
0.8%
389306.986426849 1
 
0.8%
387624.989707084 1
 
0.8%
391287.471122685 1
 
0.8%
Other values (65) 65
49.6%
(Missing) 55
42.0%
ValueCountFrequency (%)
378603.484341406 1
0.8%
378902.950423469 1
0.8%
379460.187336962 1
0.8%
379839.949418387 1
0.8%
380234.027024159 1
0.8%
380585.880007958 1
0.8%
380764.997170791 1
0.8%
381067.320399592 1
0.8%
381141.053269394 1
0.8%
381984.293245804 1
0.8%
ValueCountFrequency (%)
401668.449608778 1
0.8%
401391.375537312 1
0.8%
398237.363461482 1
0.8%
396292.555984134 1
0.8%
395888.167910697 2
1.5%
395809.885957911 1
0.8%
393369.320793096 1
0.8%
392451.569213376 1
0.8%
392423.66915777 1
0.8%
392370.49360385 1
0.8%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)98.7%
Missing55
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean187940.14
Minimum177055.55
Maximum198413.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:27:30.950215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177055.55
5-th percentile179453.94
Q1185153.45
median187847.48
Q3191760.59
95-th percentile195827.24
Maximum198413.27
Range21357.715
Interquartile range (IQR)6607.1375

Descriptive statistics

Standard deviation5109.5587
Coefficient of variation (CV)0.02718716
Kurtosis-0.62390892
Mean187940.14
Median Absolute Deviation (MAD)3614.3862
Skewness-0.14424664
Sum14283451
Variance26107590
MonotonicityNot monotonic
2024-04-20T23:27:31.388621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194489.213658893 2
 
1.5%
194737.007490582 1
 
0.8%
191907.270869556 1
 
0.8%
191337.559320129 1
 
0.8%
191668.881450636 1
 
0.8%
187911.443870304 1
 
0.8%
181030.551709861 1
 
0.8%
191351.326138058 1
 
0.8%
186442.636762676 1
 
0.8%
189657.605969895 1
 
0.8%
Other values (65) 65
49.6%
(Missing) 55
42.0%
ValueCountFrequency (%)
177055.552348263 1
0.8%
177277.315650526 1
0.8%
178919.973299907 1
0.8%
179074.881612575 1
0.8%
179580.295176299 1
0.8%
180077.763592253 1
0.8%
180282.579541894 1
0.8%
180305.158017524 1
0.8%
180961.765802642 1
0.8%
181030.551709861 1
0.8%
ValueCountFrequency (%)
198413.266906048 1
0.8%
197238.082748025 1
0.8%
196800.01715156 1
0.8%
195984.927496977 1
0.8%
195774.67538181 1
0.8%
194748.976836055 1
0.8%
194737.007490582 1
0.8%
194510.188105903 1
0.8%
194489.213658893 2
1.5%
194122.808322223 1
0.8%

보유자격증명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

국비지원여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

담당직원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)보유자격증명국비지원여부담당직원내용삭제일자Unnamed: 32
01요양보호사교육기관11_49_01_P6260000201062600000040045-2010070620100706<NA>1영업/정상0운영<NA><NA><NA><NA>515235339<NA><NA>부산광역시 해운대구 재송동 1061-9부산광역시 해운대구 재반로103번길 14, 2층(재송동)<NA>해운대요양보호사교육원20220614102746U2022-06-16 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
12요양보호사교육기관11_49_01_P6260000201062600000040071-2010101120101011<NA>1영업/정상0운영<NA><NA><NA><NA>513331310<NA><NA>부산광역시 북구 덕천동 400-1 동강빌딩부산광역시 북구 백양대로 1204, 동강빌딩 4층(덕천동)<NA>덕천요양보호사교육원20220609091331U2022-06-11 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
23요양보호사교육기관11_49_01_P6260000201562600000040004-2015071320150713<NA>1영업/정상0운영<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 298번지 1호 2층부산광역시 해운대구 반송로892번길 8, 2층 (반송동)<NA>참사랑요양보호사교육원20220601085318U2022-06-03 02:40:00.0<NA>395809.885958194510.188106<NA><NA><NA><NA><NA>
34요양보호사교육기관11_49_01_P6260000201562600000040006-2015121420151214<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>소망요양보호사교육원20220401163211U2022-04-03 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
45요양보호사교육기관11_49_01_P6260000201062600000040007-2010060420100604<NA>1영업/정상0운영<NA><NA><NA><NA>517513663<NA><NA>부산광역시 연제구 연산8동 383번지 23호 (2층)부산광역시 연제구 안연로 1 (연산동,(2층))<NA>참빛 요양보호사교육원20220322094437U2022-03-24 02:40:00.0<NA>391287.471123189657.60597<NA><NA><NA><NA><NA>
56요양보호사교육기관11_49_01_P6260000201062600000040070-2010101120101011<NA>1영업/정상0운영<NA><NA><NA><NA>7082402465<NA><NA>부산광역시 북구 덕천동 352-8 청림빌딩6층부산광역시 북구 낙동대로1781번길 1, 청림빌딩 6층 (덕천동)<NA>삼성실버 요양보호사교육원20220713160421U2022-07-15 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
67요양보호사교육기관11_49_01_P6260000201062600000040093-2010102520101025<NA>1영업/정상0운영<NA><NA><NA><NA>512477255<NA><NA>부산광역시 중구 동광동4가 230번지 1호 502호부산광역시 중구 구덕로 37, 6층 (남포동4가)<NA>성산 요양보호사교육원20220513110827U2022-05-15 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
78요양보호사교육기관11_49_01_P6260000201062600000040023-2010061120100611<NA>1영업/정상0운영<NA><NA><NA><NA>516333323<NA><NA>부산광역시 부산진구 범천1동 870번지 1호 3층부산광역시 부산진구 중앙대로 621 (범천동,3층)<NA>뉴중앙 요양보호사교육원20220323163135U2022-03-25 02:40:00.0<NA>387558.514002185158.362348<NA><NA><NA><NA><NA>
89요양보호사교육기관11_49_01_P6260000201662600000040001-2016012720160127<NA>1영업/정상0운영<NA><NA><NA><NA>7082702500<NA><NA><NA>부산광역시 동래구 충렬대로137번길 4, 6층 (온천동,상현빌딩)<NA>동래삼성실버요양보호사교육원20220602144612U2022-06-04 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
910요양보호사교육기관11_49_01_P6260000201662600000040002-2016012720160127<NA>1영업/정상0운영<NA><NA><NA><NA>519132450<NA><NA>부산광역시 부산진구 범천동 849-19 도문빌딩부산광역시 부산진구 범일로 190, 도문빌딩 7층(범천동)<NA>서면삼성실버요양보호사교육원20220722104644U2022-07-24 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)보유자격증명국비지원여부담당직원내용삭제일자Unnamed: 32
121122요양보호사교육기관11_49_01_P6260000201062600000040094-2010102520101025<NA>3폐업1폐지20150501<NA><NA><NA>512664949<NA><NA>부산광역시 사하구 신평1동 14번지부산광역시 사하구 다대낙조2길 3, 5층 (다대동,몰운대빌딩)<NA>천사(다대) 요양보호사 교육원20150513144601I2018-08-31 23:59:59.0<NA>380234.027024179074.881613<NA><NA><NA><NA><NA>
122123요양보호사교육기관11_49_01_P6260000201062600000040095-2010102520101025<NA>3폐업1폐지20110210<NA><NA><NA>513168255<NA><NA>부산광역시 사상구 괘법동 511번지 2호 2층부산광역시 사상구 사상로148번길 25 (괘법동,2층)26530샘물 요양보호사교육원20101026092159I2018-08-31 23:59:59.0<NA>381141.053269186313.167239<NA><NA><NA><NA><NA>
123124요양보호사교육기관11_49_01_P6260000201062600000040098-2010102520101025<NA>3폐업1폐지20101222<NA><NA><NA>518187578<NA><NA>부산 부산진구 양정1동 391번지 10호 2층부산광역시 부산진구 동평로420번길 28 (양정동,2층)26230아산 요양보호사교육원20101029164252I2018-08-31 23:59:59.0<NA>388472.360041187842.952826<NA><NA><NA><NA><NA>
124125요양보호사교육기관11_49_01_P6260000201062600000040011-2010060520100605<NA>3폐업1폐지20150731<NA><NA><NA>518503108<NA><NA>부산광역시 부산진구 양정1동 1050번지 부산여자대학<NA><NA>부산여자대학 요양보호사교육원20150806155154I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
125126요양보호사교육기관11_49_01_P6260000201062600000040037-2010062220100622<NA>3폐업1폐지20120904<NA><NA><NA>514413023<NA><NA>부산광역시 남구 문현2동 517번지 3호 3층부산광역시 남구 전포대로 108-1 (문현동,3층)26290시티 요양보호사교육원20120417112944I2018-08-31 23:59:59.0<NA>388302.76489184987.804782<NA><NA><NA><NA><NA>
126127요양보호사교육기관11_49_01_P6260000201062600000040043-2010070620100706<NA>3폐업1폐지20150731<NA><NA><NA>515134567<NA><NA>부산광역시 금정구 구서2동 177번지 25호 대원빌딩 3층부산광역시 금정구 중앙대로 1927 (구서동)<NA>세영 요양보호사교육원20150806155347I2018-08-31 23:59:59.0<NA>390235.603407197238.082748<NA><NA><NA><NA><NA>
127128요양보호사교육기관11_49_01_P6260000201062600000040058-2010090220100902<NA>3폐업1폐지20110119<NA><NA><NA>518022038<NA><NA>부산광역시 부산진구 전포2동 874번지 13호 레그늄오피스텔 101호, 102호부산광역시 부산진구 중앙대로 800 (전포동,레그늄오피스텔 101호, 102호)26230그린케어 요양보호사교육원20101029175517I2018-08-31 23:59:59.0<NA>387957.596839186815.652009<NA><NA><NA><NA><NA>
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