Overview

Dataset statistics

Number of variables33
Number of observations130
Missing cells1583
Missing cells (%)36.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.6 KiB
Average record size in memory288.0 B

Variable types

Numeric8
Categorical10
Text4
Unsupported10
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123193

Alerts

개방서비스명 has constant value ""Constant
개방서비스id 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 130 (100.0%) missing valuesMissing
폐업일자 has 57 (43.8%) missing valuesMissing
휴업시작일자 has 130 (100.0%) missing valuesMissing
소재지전화 has 10 (7.7%) missing valuesMissing
소재지면적 has 130 (100.0%) missing valuesMissing
소재지우편번호 has 130 (100.0%) missing valuesMissing
소재지전체주소 has 20 (15.4%) missing valuesMissing
도로명전체주소 has 13 (10.0%) missing valuesMissing
도로명우편번호 has 97 (74.6%) missing valuesMissing
업태구분명 has 130 (100.0%) missing valuesMissing
좌표정보(x) has 43 (33.1%) missing valuesMissing
좌표정보(y) has 43 (33.1%) missing valuesMissing
보유자격증명 has 130 (100.0%) missing valuesMissing
국비지원여부 has 130 (100.0%) missing valuesMissing
담당직원내용 has 130 (100.0%) missing valuesMissing
삭제일자 has 130 (100.0%) missing valuesMissing
Unnamed: 32 has 130 (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 14:25:38.387941
Analysis finished2024-04-20 14:25:39.216126
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.5
Minimum1
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:25:39.404416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.45
Q133.25
median65.5
Q397.75
95-th percentile123.55
Maximum130
Range129
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation37.671829
Coefficient of variation (CV)0.57514242
Kurtosis-1.2
Mean65.5
Median Absolute Deviation (MAD)32.5
Skewness0
Sum8515
Variance1419.1667
MonotonicityStrictly increasing
2024-04-20T23:25:39.866563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
99 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%
90 1
 
0.8%
Other values (120) 120
92.3%
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 (%)
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%
121 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
요양보호사교육기관
130 

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 130
100.0%

Length

2024-04-20T23:25:40.283750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:40.540211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양보호사교육기관 130
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11_49_01_P
130 

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 130
100.0%

Length

2024-04-20T23:25:40.935956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:41.210437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_49_01_p 130
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
6260000
130 

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 130
100.0%

Length

2024-04-20T23:25:41.533977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:41.840803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 130
100.0%

관리번호
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-20T23:25:42.495906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters3510
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

Unique130 ?
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%
201062600000040030-20100622 1
 
0.8%
201062600000040032-20100622 1
 
0.8%
201062600000040033-20100622 1
 
0.8%
201062600000040020-20100611 1
 
0.8%
201062600000040018-20100611 1
 
0.8%
201062600000040088-20101019 1
 
0.8%
201062600000040087-20101019 1
 
0.8%
201062600000040084-20101019 1
 
0.8%
201062600000040022-20100611 1
 
0.8%
Other values (120) 120
92.3%
2024-04-20T23:25:43.394251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1717
48.9%
2 484
 
13.8%
1 413
 
11.8%
6 356
 
10.1%
4 184
 
5.2%
- 130
 
3.7%
5 62
 
1.8%
7 52
 
1.5%
9 44
 
1.3%
8 37
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3380
96.3%
Dash Punctuation 130
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1717
50.8%
2 484
 
14.3%
1 413
 
12.2%
6 356
 
10.5%
4 184
 
5.4%
5 62
 
1.8%
7 52
 
1.5%
9 44
 
1.3%
8 37
 
1.1%
3 31
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1717
48.9%
2 484
 
13.8%
1 413
 
11.8%
6 356
 
10.1%
4 184
 
5.2%
- 130
 
3.7%
5 62
 
1.8%
7 52
 
1.5%
9 44
 
1.3%
8 37
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1717
48.9%
2 484
 
13.8%
1 413
 
11.8%
6 356
 
10.1%
4 184
 
5.2%
- 130
 
3.7%
5 62
 
1.8%
7 52
 
1.5%
9 44
 
1.3%
8 37
 
1.1%

인허가일자
Real number (ℝ)

Distinct44
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113542
Minimum20100603
Maximum20201126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:25:43.699707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100603
5-th percentile20100604
Q120100622
median20100917
Q320101025
95-th percentile20161076
Maximum20201126
Range100523
Interquartile range (IQR)403

Descriptive statistics

Standard deviation24219.622
Coefficient of variation (CV)0.0012041451
Kurtosis1.0792062
Mean20113542
Median Absolute Deviation (MAD)295
Skewness1.5773915
Sum2.6147605 × 109
Variance5.8659011 × 108
MonotonicityNot monotonic
2024-04-20T23:25:43.961869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20100622 13
 
10.0%
20101011 12
 
9.2%
20101019 12
 
9.2%
20100611 11
 
8.5%
20100605 8
 
6.2%
20100706 7
 
5.4%
20100902 7
 
5.4%
20100604 7
 
5.4%
20101025 7
 
5.4%
20100811 4
 
3.1%
Other values (34) 42
32.3%
ValueCountFrequency (%)
20100603 1
 
0.8%
20100604 7
5.4%
20100605 8
6.2%
20100611 11
8.5%
20100622 13
10.0%
20100706 7
5.4%
20100715 3
 
2.3%
20100803 3
 
2.3%
20100811 4
 
3.1%
20100902 7
5.4%
ValueCountFrequency (%)
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%
20160622 1
0.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
75 
1
55 

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 75
57.7%
1 55
42.3%

Length

2024-04-20T23:25:44.376096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:44.688739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 75
57.7%
1 55
42.3%

영업상태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
75 
영업/정상
55 

Length

Max length5
Median length2
Mean length3.2692308
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 75
57.7%
영업/정상 55
42.3%

Length

2024-04-20T23:25:45.053596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:45.297994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 75
57.7%
영업/정상 55
42.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
75 
0
54 
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 75
57.7%
0 54
41.5%
3 1
 
0.8%

Length

2024-04-20T23:25:45.477701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:45.657516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 75
57.7%
0 54
41.5%
3 1
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐지
75 
운영
54 
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 75
57.7%
운영 54
41.5%
재개 1
 
0.8%

Length

2024-04-20T23:25:45.990984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:46.312993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 75
57.7%
운영 54
41.5%
재개 1
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)83.6%
Missing57
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean20136302
Minimum20100803
Maximum20201126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:25:46.684921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100803
5-th percentile20101222
Q120111006
median20121023
Q320160630
95-th percentile20180207
Maximum20201126
Range100323
Interquartile range (IQR)49624

Descriptive statistics

Standard deviation26454.475
Coefficient of variation (CV)0.0013137703
Kurtosis-1.0983662
Mean20136302
Median Absolute Deviation (MAD)19392
Skewness0.43263637
Sum1.46995 × 109
Variance6.9983926 × 108
MonotonicityNot monotonic
2024-04-20T23:25:47.359462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150731 7
 
5.4%
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%
20120705 1
 
0.8%
20151210 1
 
0.8%
Other values (51) 51
39.2%
(Missing) 57
43.8%
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 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
129 
20171231
 
1

Length

Max length8
Median length4
Mean length4.0307692
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> 129
99.2%
20171231 1
 
0.8%

Length

2024-04-20T23:25:47.840399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:48.160168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
99.2%
20171231 1
 
0.8%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
129 
20160513
 
1

Length

Max length8
Median length4
Mean length4.0307692
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> 129
99.2%
20160513 1
 
0.8%

Length

2024-04-20T23:25:48.374889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:25:48.570800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
99.2%
20160513 1
 
0.8%

소재지전화
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)95.8%
Missing10
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean7.1889877 × 108
Minimum5.120034 × 108
Maximum7.0872506 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:25:48.773826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.120034 × 108
5-th percentile5.1203726 × 108
Q15.1338333 × 108
median5.1556375 × 108
Q35.1808623 × 108
95-th percentile5.1946697 × 108
Maximum7.0872506 × 109
Range6.5752472 × 109
Interquartile range (IQR)4702901

Descriptive statistics

Standard deviation1.1092286 × 109
Coefficient of variation (CV)1.5429552
Kurtosis28.027286
Mean7.1889877 × 108
Median Absolute Deviation (MAD)2222778.5
Skewness5.4016645
Sum8.6267852 × 1010
Variance1.2303881 × 1018
MonotonicityNot monotonic
2024-04-20T23:25:49.074407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
516376609 2
 
1.5%
515539996 2
 
1.5%
518532739 2
 
1.5%
515319018 2
 
1.5%
518677557 2
 
1.5%
518503108 1
 
0.8%
519902419 1
 
0.8%
518631456 1
 
0.8%
512421588 1
 
0.8%
515587500 1
 
0.8%
Other values (105) 105
80.8%
(Missing) 10
 
7.7%
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 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

소재지전체주소
Text

MISSING 

Distinct109
Distinct (%)99.1%
Missing20
Missing (%)15.4%
Memory size1.1 KiB
2024-04-20T23:25:51.069403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length27.518182
Min length19

Characters and Unicode

Total characters3027
Distinct characters154
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)98.2%

Sample

1st row부산광역시 해운대구 재송1동 1061-9
2nd row부산광역시 북구 화명2동 1469번지 4호
3rd row부산광역시 해운대구 반송동 298번지 1호 2층
4th row부산광역시 기장군 기장읍 대라리 168-4 명광빌딩 601호
5th row부산광역시 연제구 연산8동 383번지 23호 (2층)
ValueCountFrequency (%)
부산광역시 108
 
17.7%
부산진구 26
 
4.3%
1호 16
 
2.6%
2층 16
 
2.6%
북구 11
 
1.8%
3층 11
 
1.8%
사하구 10
 
1.6%
금정구 9
 
1.5%
해운대구 8
 
1.3%
동래구 8
 
1.3%
Other values (273) 386
63.4%
2024-04-20T23:25:53.189658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
666
22.0%
부 147
 
4.9%
산 145
 
4.8%
1 144
 
4.8%
동 125
 
4.1%
구 112
 
3.7%
광 111
 
3.7%
2 110
 
3.6%
시 109
 
3.6%
역 108
 
3.6%
Other values (144) 1250
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1703
56.3%
Space Separator 666
 
22.0%
Decimal Number 614
 
20.3%
Dash Punctuation 18
 
0.6%
Close Punctuation 11
 
0.4%
Open Punctuation 11
 
0.4%
Uppercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 147
 
8.6%
산 145
 
8.5%
동 125
 
7.3%
구 112
 
6.6%
광 111
 
6.5%
시 109
 
6.4%
역 108
 
6.3%
호 95
 
5.6%
지 88
 
5.2%
번 87
 
5.1%
Other values (126) 576
33.8%
Decimal Number
ValueCountFrequency (%)
1 144
23.5%
2 110
17.9%
3 85
13.8%
4 53
 
8.6%
0 49
 
8.0%
5 48
 
7.8%
8 36
 
5.9%
6 35
 
5.7%
9 30
 
4.9%
7 24
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
I 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
666
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1703
56.3%
Common 1321
43.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 147
 
8.6%
산 145
 
8.5%
동 125
 
7.3%
구 112
 
6.6%
광 111
 
6.5%
시 109
 
6.4%
역 108
 
6.3%
호 95
 
5.6%
지 88
 
5.2%
번 87
 
5.1%
Other values (126) 576
33.8%
Common
ValueCountFrequency (%)
666
50.4%
1 144
 
10.9%
2 110
 
8.3%
3 85
 
6.4%
4 53
 
4.0%
0 49
 
3.7%
5 48
 
3.6%
8 36
 
2.7%
6 35
 
2.6%
9 30
 
2.3%
Other values (5) 65
 
4.9%
Latin
ValueCountFrequency (%)
A 1
33.3%
I 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1703
56.3%
ASCII 1324
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
666
50.3%
1 144
 
10.9%
2 110
 
8.3%
3 85
 
6.4%
4 53
 
4.0%
0 49
 
3.7%
5 48
 
3.6%
8 36
 
2.7%
6 35
 
2.6%
9 30
 
2.3%
Other values (8) 68
 
5.1%
Hangul
ValueCountFrequency (%)
부 147
 
8.6%
산 145
 
8.5%
동 125
 
7.3%
구 112
 
6.6%
광 111
 
6.5%
시 109
 
6.4%
역 108
 
6.3%
호 95
 
5.6%
지 88
 
5.2%
번 87
 
5.1%
Other values (126) 576
33.8%

도로명전체주소
Text

MISSING 

Distinct115
Distinct (%)98.3%
Missing13
Missing (%)10.0%
Memory size1.1 KiB
2024-04-20T23:25:54.425297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length29.786325
Min length20

Characters and Unicode

Total characters3485
Distinct characters188
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)96.6%

Sample

1st row부산광역시 해운대구 재반로103번길 14 (재송동)
2nd row부산광역시 북구 금곡대로 304 (화명동)
3rd row부산광역시 해운대구 반송로892번길 8, 2층 (반송동)
4th row부산광역시 기장군 기장읍 대청로 42, 명광빌딩 6층
5th row부산광역시 연제구 안연로 1 (연산동,(2층))
ValueCountFrequency (%)
부산광역시 117
 
17.8%
부산진구 25
 
3.8%
중앙대로 16
 
2.4%
사하구 11
 
1.7%
북구 11
 
1.7%
금정구 10
 
1.5%
3층 10
 
1.5%
동래구 10
 
1.5%
동구 10
 
1.5%
2층 9
 
1.4%
Other values (302) 428
65.1%
2024-04-20T23:25:55.959897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
540
 
15.5%
부 157
 
4.5%
산 149
 
4.3%
동 146
 
4.2%
시 127
 
3.6%
구 125
 
3.6%
( 123
 
3.5%
) 123
 
3.5%
광 122
 
3.5%
역 117
 
3.4%
Other values (178) 1756
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2095
60.1%
Space Separator 540
 
15.5%
Decimal Number 489
 
14.0%
Open Punctuation 123
 
3.5%
Close Punctuation 123
 
3.5%
Other Punctuation 107
 
3.1%
Dash Punctuation 7
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 157
 
7.5%
산 149
 
7.1%
동 146
 
7.0%
시 127
 
6.1%
구 125
 
6.0%
광 122
 
5.8%
역 117
 
5.6%
로 113
 
5.4%
층 73
 
3.5%
대 72
 
3.4%
Other values (162) 894
42.7%
Decimal Number
ValueCountFrequency (%)
2 93
19.0%
1 88
18.0%
3 57
11.7%
4 50
10.2%
0 39
8.0%
5 36
 
7.4%
8 36
 
7.4%
7 32
 
6.5%
9 31
 
6.3%
6 27
 
5.5%
Space Separator
ValueCountFrequency (%)
540
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Other Punctuation
ValueCountFrequency (%)
, 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2095
60.1%
Common 1389
39.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 157
 
7.5%
산 149
 
7.1%
동 146
 
7.0%
시 127
 
6.1%
구 125
 
6.0%
광 122
 
5.8%
역 117
 
5.6%
로 113
 
5.4%
층 73
 
3.5%
대 72
 
3.4%
Other values (162) 894
42.7%
Common
ValueCountFrequency (%)
540
38.9%
( 123
 
8.9%
) 123
 
8.9%
, 107
 
7.7%
2 93
 
6.7%
1 88
 
6.3%
3 57
 
4.1%
4 50
 
3.6%
0 39
 
2.8%
5 36
 
2.6%
Other values (5) 133
 
9.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2095
60.1%
ASCII 1390
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
540
38.8%
( 123
 
8.8%
) 123
 
8.8%
, 107
 
7.7%
2 93
 
6.7%
1 88
 
6.3%
3 57
 
4.1%
4 50
 
3.6%
0 39
 
2.8%
5 36
 
2.6%
Other values (6) 134
 
9.6%
Hangul
ValueCountFrequency (%)
부 157
 
7.5%
산 149
 
7.1%
동 146
 
7.0%
시 127
 
6.1%
구 125
 
6.0%
광 122
 
5.8%
역 117
 
5.6%
로 113
 
5.4%
층 73
 
3.5%
대 72
 
3.4%
Other values (162) 894
42.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)39.4%
Missing97
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean26335.455
Minimum26110
Maximum26710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:25:56.413131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26110
5-th percentile26158
Q126230
median26320
Q326380
95-th percentile26602
Maximum26710
Range600
Interquartile range (IQR)150

Descriptive statistics

Standard deviation142.1287
Coefficient of variation (CV)0.0053968578
Kurtosis1.2637271
Mean26335.455
Median Absolute Deviation (MAD)90
Skewness1.0268864
Sum869070
Variance20200.568
MonotonicityNot monotonic
2024-04-20T23:25:56.767072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
26230 7
 
5.4%
26350 4
 
3.1%
26320 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) 97
74.6%
ValueCountFrequency (%)
26110 1
 
0.8%
26140 1
 
0.8%
26170 2
 
1.5%
26230 7
5.4%
26260 2
 
1.5%
26290 1
 
0.8%
26320 4
3.1%
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 4
3.1%
26290 1
 
0.8%
26260 2
 
1.5%
26230 7
5.4%

사업장명
Text

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-20T23:25:58.006343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length12.623077
Min length10

Characters and Unicode

Total characters1641
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

Unique128 ?
Unique (%)98.5%

Sample

1st row부산 해운대 요양보호사교육원
2nd row화명 요양보호사교육원
3rd row참사랑요양보호사교육원
4th row소망요양보호사교육원
5th row참빛 요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 93
36.3%
부설 10
 
3.9%
교육원 8
 
3.1%
요양보호사 7
 
2.7%
안심생활 2
 
0.8%
평생교육원 1
 
0.4%
온천 1
 
0.4%
은빛 1
 
0.4%
미래사회 1
 
0.4%
환희 1
 
0.4%
Other values (131) 131
51.2%
2024-04-20T23:25:59.619999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 149
 
9.1%
교 140
 
8.5%
육 132
 
8.0%
원 132
 
8.0%
보 132
 
8.0%
요 129
 
7.9%
양 129
 
7.9%
호 128
 
7.8%
126
 
7.7%
부 30
 
1.8%
Other values (172) 414
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1498
91.3%
Space Separator 126
 
7.7%
Uppercase Letter 9
 
0.5%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 149
 
9.9%
교 140
 
9.3%
육 132
 
8.8%
원 132
 
8.8%
보 132
 
8.8%
요 129
 
8.6%
양 129
 
8.6%
호 128
 
8.5%
부 30
 
2.0%
대 16
 
1.1%
Other values (161) 381
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 (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1498
91.3%
Common 134
 
8.2%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 149
 
9.9%
교 140
 
9.3%
육 132
 
8.8%
원 132
 
8.8%
보 132
 
8.8%
요 129
 
8.6%
양 129
 
8.6%
호 128
 
8.5%
부 30
 
2.0%
대 16
 
1.1%
Other values (161) 381
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 (%)
126
94.0%
( 4
 
3.0%
) 4
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1498
91.3%
ASCII 143
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 149
 
9.9%
교 140
 
9.3%
육 132
 
8.8%
원 132
 
8.8%
보 132
 
8.8%
요 129
 
8.6%
양 129
 
8.6%
호 128
 
8.5%
부 30
 
2.0%
대 16
 
1.1%
Other values (161) 381
25.4%
ASCII
ValueCountFrequency (%)
126
88.1%
( 4
 
2.8%
) 4
 
2.8%
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 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0163875 × 1013
Minimum2.0100712 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:25:59.999822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100712 × 1013
5-th percentile2.0105119 × 1013
Q12.0120468 × 1013
median2.0161005 × 1013
Q32.0201224 × 1013
95-th percentile2.0210169 × 1013
Maximum2.0210226 × 1013
Range1.0951395 × 1011
Interquartile range (IQR)8.075628 × 1010

Descriptive statistics

Standard deviation3.9782509 × 1010
Coefficient of variation (CV)0.0019729595
Kurtosis-1.466322
Mean2.0163875 × 1013
Median Absolute Deviation (MAD)4.0487041 × 1010
Skewness-0.20733986
Sum2.6213037 × 1015
Variance1.5826481 × 1021
MonotonicityNot monotonic
2024-04-20T23:26:00.270899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210127141456 1
 
0.8%
20110315183547 1
 
0.8%
20110316135111 1
 
0.8%
20160329144223 1
 
0.8%
20110118202945 1
 
0.8%
20110318162422 1
 
0.8%
20110316093012 1
 
0.8%
20150206175148 1
 
0.8%
20141020095933 1
 
0.8%
20110909154304 1
 
0.8%
Other values (120) 120
92.3%
ValueCountFrequency (%)
20100712180310 1
0.8%
20100715200447 1
0.8%
20100715201132 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%
ValueCountFrequency (%)
20210226133941 1
0.8%
20210217094814 1
0.8%
20210209133642 1
0.8%
20210205140957 1
0.8%
20210205140706 1
0.8%
20210205132756 1
0.8%
20210202093232 1
0.8%
20210128144019 1
0.8%
20210128135206 1
0.8%
20210128092035 1
0.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
78 
U
52 

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 78
60.0%
U 52
40.0%

Length

2024-04-20T23:26:00.668350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:26:01.047658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
60.0%
u 52
40.0%

데이터갱신일자
Date

Distinct33
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-20T23:26:01.321210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:26:01.729746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)97.7%
Missing43
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean388054.9
Minimum378603.48
Maximum401668.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:26:02.117248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378603.48
5-th percentile380339.58
Q1384622.47
median388135.4
Q3390307.13
95-th percentile397610
Maximum401668.45
Range23064.965
Interquartile range (IQR)5684.6607

Descriptive statistics

Standard deviation5052.7131
Coefficient of variation (CV)0.013020614
Kurtosis0.50371352
Mean388054.9
Median Absolute Deviation (MAD)2669.6399
Skewness0.52465643
Sum33760776
Variance25529909
MonotonicityNot monotonic
2024-04-20T23:26:02.544606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387653.797549383 2
 
1.5%
395888.167910697 2
 
1.5%
387456.738406499 1
 
0.8%
387613.606422235 1
 
0.8%
383800.456189752 1
 
0.8%
389306.986426849 1
 
0.8%
396292.555984134 1
 
0.8%
387624.989707084 1
 
0.8%
388758.407651959 1
 
0.8%
390220.030386525 1
 
0.8%
Other values (75) 75
57.7%
(Missing) 43
33.1%
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%
401538.5702008 1
0.8%
401391.375537312 1
0.8%
398237.363461482 1
0.8%
398174.624215816 1
0.8%
396292.555984134 1
0.8%
395888.167910697 2
1.5%
395809.885957911 1
0.8%
393502.3424454 1
0.8%
393369.320793096 1
0.8%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)97.7%
Missing43
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean188010.85
Minimum177055.55
Maximum198413.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:26:02.948029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177055.55
5-th percentile179729.54
Q1185032.83
median187852.02
Q3191777.39
95-th percentile195659.63
Maximum198413.27
Range21357.715
Interquartile range (IQR)6744.565

Descriptive statistics

Standard deviation5063.5037
Coefficient of variation (CV)0.026931976
Kurtosis-0.66334787
Mean188010.85
Median Absolute Deviation (MAD)3607.4459
Skewness-0.13490339
Sum16356944
Variance25639069
MonotonicityNot monotonic
2024-04-20T23:26:03.334168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185030.316717821 2
 
1.5%
194489.213658893 2
 
1.5%
186285.673830996 1
 
0.8%
186147.676151911 1
 
0.8%
181030.551709861 1
 
0.8%
191351.326138058 1
 
0.8%
194737.007490582 1
 
0.8%
186442.636762676 1
 
0.8%
188079.890003368 1
 
0.8%
196800.01715156 1
 
0.8%
Other values (75) 75
57.7%
(Missing) 43
33.1%
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%
180130.608729034 1
0.8%
180282.579541894 1
0.8%
180305.158017524 1
0.8%
180961.765802642 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%
195391.20647471 1
0.8%
194763.900036932 1
0.8%
194752.730418991 1
0.8%
194737.007490582 1
0.8%
194510.188105903 1
0.8%

보유자격증명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

국비지원여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

담당직원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)보유자격증명국비지원여부담당직원내용삭제일자Unnamed: 32
01요양보호사교육기관11_49_01_P6260000201062600000040045-2010070620100706<NA>1영업/정상0운영<NA><NA><NA><NA>515235339<NA><NA>부산광역시 해운대구 재송1동 1061-9부산광역시 해운대구 재반로103번길 14 (재송동)<NA>부산 해운대 요양보호사교육원20210127141456U2021-01-29 02:40:00.0<NA>393502.342445189714.691745<NA><NA><NA><NA><NA>
12요양보호사교육기관11_49_01_P6260000201062600000040071-2010101120101011<NA>1영업/정상0운영<NA><NA><NA><NA>513331310<NA><NA>부산광역시 북구 화명2동 1469번지 4호부산광역시 북구 금곡대로 304 (화명동)<NA>화명 요양보호사교육원20210205140957U2021-02-07 02:40:00.0<NA>383277.652059194763.900037<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>참사랑요양보호사교육원20210127151222U2021-01-29 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 601호부산광역시 기장군 기장읍 대청로 42, 명광빌딩 6층<NA>소망요양보호사교육원20210127141315U2021-01-29 02:40:00.0<NA>401538.570201195391.206475<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 요양보호사교육원20210127150546U2021-01-29 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 요양보호사교육원20210205140706U2021-02-07 02:40:00.0<NA>387653.797549185030.316718<NA><NA><NA><NA><NA>
67요양보호사교육기관11_49_01_P6260000201062600000040093-2010102520101025<NA>1영업/정상0운영<NA><NA><NA><NA>512477240<NA><NA>부산광역시 중구 동광동4가 230번지 1호 502호부산광역시 중구 구덕로 37, 6층 (남포동4가)<NA>성산 요양보호사교육원20210111174503U2021-01-13 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 요양보호사교육원20200605173126U2020-06-07 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>동래삼성실버요양보호사교육원20210120152212U2021-01-22 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 849-1부산광역시 부산진구 범일로 190 (범천동)<NA>서면삼성실버요양보호사교육원20210127135909U2021-01-29 02:40:00.0<NA>387653.797549185030.316718<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)보유자격증명국비지원여부담당직원내용삭제일자Unnamed: 32
120121요양보호사교육기관11_49_01_P6260000201062600000040078-2010101120101011<NA>3폐업1폐지20160831<NA><NA><NA>516379949<NA><NA>부산광역시 부산진구 범천1동 836-1<NA><NA>현대 요양보호사교육원20161005165214I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
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>
128129요양보호사교육기관11_49_01_P6260000201062600000040079-2010101920101019<NA>3폐업1폐지20121025<NA><NA><NA>513435664<NA><NA>부산광역시 북구 구포3동 1255번지 2호부산광역시 북구 시랑로114번길 45 (구포동)26320JS 요양보호사교육원20120405114013I2018-08-31 23:59:59.0<NA>382865.897095190186.827805<NA><NA><NA><NA><NA>
129130요양보호사교육기관11_49_01_P6260000202062600000040001-2020112620201126<NA>3폐업1폐지20201126<NA><NA><NA><NA><NA><NA>부산광역시 영도구 대교동1가 39번지부산광역시 영도구 태종로 47, 신일빌딩 201호 (대교동1가)<NA>은하수요양보호사교육원20201126100201I2020-11-28 00:23:08.0<NA><NA><NA><NA><NA><NA><NA><NA>