Overview

Dataset statistics

Number of variables33
Number of observations138
Missing cells1716
Missing cells (%)37.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.8 KiB
Average record size in memory287.9 B

Variable types

Numeric8
Categorical11
Text4
Unsupported10

Dataset

Description2023-02-01
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 (92.2%)Imbalance
재개업일자 is highly imbalanced (92.2%)Imbalance
인허가취소일자 has 138 (100.0%) missing valuesMissing
폐업일자 has 62 (44.9%) missing valuesMissing
휴업시작일자 has 138 (100.0%) missing valuesMissing
소재지전화 has 9 (6.5%) missing valuesMissing
소재지면적 has 138 (100.0%) missing valuesMissing
소재지우편번호 has 138 (100.0%) missing valuesMissing
소재지전체주소 has 18 (13.0%) missing valuesMissing
도로명전체주소 has 13 (9.4%) missing valuesMissing
도로명우편번호 has 104 (75.4%) missing valuesMissing
업태구분명 has 138 (100.0%) missing valuesMissing
좌표정보(x) has 65 (47.1%) missing valuesMissing
좌표정보(y) has 65 (47.1%) missing valuesMissing
보유자격증명 has 138 (100.0%) missing valuesMissing
국비지원여부 has 138 (100.0%) missing valuesMissing
담당직원내용 has 138 (100.0%) missing valuesMissing
삭제일자 has 138 (100.0%) missing valuesMissing
Unnamed: 32 has 138 (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 14:28:26.806739
Analysis finished2024-04-20 14:28:27.638710
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.5
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:27.762695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.85
Q135.25
median69.5
Q3103.75
95-th percentile131.15
Maximum138
Range137
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation39.981246
Coefficient of variation (CV)0.57526972
Kurtosis-1.2
Mean69.5
Median Absolute Deviation (MAD)34.5
Skewness0
Sum9591
Variance1598.5
MonotonicityStrictly increasing
2024-04-20T23:28:28.065479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
105 1
 
0.7%
Other values (128) 128
92.8%
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 (%)
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%
130 1
0.7%
129 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
요양보호사교육기관
138 

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 138
100.0%

Length

2024-04-20T23:28:28.498357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:28.809936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양보호사교육기관 138
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
11_49_01_P
138 

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 138
100.0%

Length

2024-04-20T23:28:29.134277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:29.448355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_49_01_p 138
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
6260000
138 

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 138
100.0%

Length

2024-04-20T23:28:29.940276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:30.246468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 138
100.0%

관리번호
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-20T23:28:31.011924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters3726
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

Unique138 ?
Unique (%)100.0%

Sample

1st row201062600000040045-20100706
2nd row201062600000040071-20101011
3rd row201562600000040004-20150713
4th row201562600000040006-20151214
5th row201062600000040007-20100604
ValueCountFrequency (%)
201062600000040045-20100706 1
 
0.7%
201062600000040033-20100622 1
 
0.7%
201062600000040063-20100902 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%
201062600000040050-20100715 1
 
0.7%
201062600000040047-20100706 1
 
0.7%
Other values (128) 128
92.8%
2024-04-20T23:28:32.179692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1814
48.7%
2 546
 
14.7%
1 419
 
11.2%
6 373
 
10.0%
4 194
 
5.2%
- 138
 
3.7%
5 65
 
1.7%
7 56
 
1.5%
9 47
 
1.3%
8 40
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3588
96.3%
Dash Punctuation 138
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1814
50.6%
2 546
 
15.2%
1 419
 
11.7%
6 373
 
10.4%
4 194
 
5.4%
5 65
 
1.8%
7 56
 
1.6%
9 47
 
1.3%
8 40
 
1.1%
3 34
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3726
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1814
48.7%
2 546
 
14.7%
1 419
 
11.2%
6 373
 
10.0%
4 194
 
5.2%
- 138
 
3.7%
5 65
 
1.7%
7 56
 
1.5%
9 47
 
1.3%
8 40
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1814
48.7%
2 546
 
14.7%
1 419
 
11.2%
6 373
 
10.0%
4 194
 
5.2%
- 138
 
3.7%
5 65
 
1.7%
7 56
 
1.5%
9 47
 
1.3%
8 40
 
1.1%

인허가일자
Real number (ℝ)

Distinct52
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20119769
Minimum20100603
Maximum20221213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:32.657530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100603
5-th percentile20100604
Q120100622
median20101011
Q320140776
95-th percentile20220742
Maximum20221213
Range120610
Interquartile range (IQR)40154

Descriptive statistics

Standard deviation34451.316
Coefficient of variation (CV)0.0017123117
Kurtosis2.1360762
Mean20119769
Median Absolute Deviation (MAD)389
Skewness1.7547437
Sum2.7765281 × 109
Variance1.1868932 × 109
MonotonicityNot monotonic
2024-04-20T23:28:33.126683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100622 13
 
9.4%
20101019 12
 
8.7%
20101011 12
 
8.7%
20100611 11
 
8.0%
20100605 8
 
5.8%
20100706 7
 
5.1%
20100604 7
 
5.1%
20101025 7
 
5.1%
20100902 7
 
5.1%
20100811 4
 
2.9%
Other values (42) 50
36.2%
ValueCountFrequency (%)
20100603 1
 
0.7%
20100604 7
5.1%
20100605 8
5.8%
20100611 11
8.0%
20100622 13
9.4%
20100706 7
5.1%
20100715 3
 
2.2%
20100803 3
 
2.2%
20100811 4
 
2.9%
20100902 7
5.1%
ValueCountFrequency (%)
20221213 1
0.7%
20221124 1
0.7%
20221005 1
0.7%
20220920 1
0.7%
20220917 1
0.7%
20220830 1
0.7%
20220829 1
0.7%
20220727 1
0.7%
20201126 1
0.7%
20170724 2
1.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
79 
1
59 

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
57.2%
1 59
42.8%

Length

2024-04-20T23:28:33.545982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:33.742236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 79
57.2%
1 59
42.8%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
79 
영업/정상
59 

Length

Max length5
Median length2
Mean length3.2826087
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
57.2%
영업/정상 59
42.8%

Length

2024-04-20T23:28:34.080517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:34.404180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 79
57.2%
영업/정상 59
42.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
79 
0
57 
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 79
57.2%
0 57
41.3%
3 2
 
1.4%

Length

2024-04-20T23:28:34.740801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:35.061966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
57.2%
0 57
41.3%
3 2
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐지
79 
운영
57 
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 79
57.2%
운영 57
41.3%
재개 2
 
1.4%

Length

2024-04-20T23:28:35.364696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:35.539328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 79
57.2%
운영 57
41.3%
재개 2
 
1.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)81.6%
Missing62
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean20137274
Minimum20100803
Maximum20201126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:35.755911image/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
2024-04-20T23:28:36.127317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150731 7
 
5.1%
20160923 3
 
2.2%
20140415 2
 
1.4%
20110119 2
 
1.4%
20170724 2
 
1.4%
20171012 2
 
1.4%
20161230 2
 
1.4%
20101222 2
 
1.4%
20150930 1
 
0.7%
20151210 1
 
0.7%
Other values (52) 52
37.7%
(Missing) 62
44.9%
ValueCountFrequency (%)
20100803 1
0.7%
20101013 1
0.7%
20101119 1
0.7%
20101222 2
1.4%
20110119 2
1.4%
20110210 1
0.7%
20110214 1
0.7%
20110331 1
0.7%
20110412 1
0.7%
20110518 1
0.7%
ValueCountFrequency (%)
20201126 1
0.7%
20181129 1
0.7%
20180411 1
0.7%
20180209 1
0.7%
20180206 1
0.7%
20180110 1
0.7%
20171229 1
0.7%
20171112 1
0.7%
20171012 2
1.4%
20170918 1
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
136 
20171231
 
1
20220630
 
1

Length

Max length8
Median length4
Mean length4.057971
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 136
98.6%
20171231 1
 
0.7%
20220630 1
 
0.7%

Length

2024-04-20T23:28:36.667665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:37.039204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
98.6%
20171231 1
 
0.7%
20220630 1
 
0.7%

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
136 
20160513
 
1
20190328
 
1

Length

Max length8
Median length4
Mean length4.057971
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 136
98.6%
20160513 1
 
0.7%
20190328 1
 
0.7%

Length

2024-04-20T23:28:37.440195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:37.798818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
98.6%
20160513 1
 
0.7%
20190328 1
 
0.7%

소재지전화
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)95.3%
Missing9
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean7.1321904 × 108
Minimum5.120034 × 108
Maximum7.0872506 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:38.167041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.120034 × 108
5-th percentile5.1203827 × 108
Q15.1338777 × 108
median5.1583799 × 108
Q35.1808802 × 108
95-th percentile5.1995818 × 108
Maximum7.0872506 × 109
Range6.5752472 × 109
Interquartile range (IQR)4700254

Descriptive statistics

Standard deviation1.0714134 × 109
Coefficient of variation (CV)1.5022221
Kurtosis30.154183
Mean7.1321904 × 108
Median Absolute Deviation (MAD)2345347
Skewness5.5823029
Sum9.2005256 × 1010
Variance1.1479266 × 1018
MonotonicityNot monotonic
2024-04-20T23:28:38.643492image/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%
513435664 1
 
0.7%
518631456 1
 
0.7%
512421588 1
 
0.7%
Other values (113) 113
81.9%
(Missing) 9
 
6.5%
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%
1077748732 1
0.7%
1045312031 1
0.7%
519995356 1
0.7%
519902419 1
0.7%
519444050 1
0.7%
519444022 1
0.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

소재지전체주소
Text

MISSING 

Distinct118
Distinct (%)98.3%
Missing18
Missing (%)13.0%
Memory size1.2 KiB
2024-04-20T23:28:40.356379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length27.475
Min length18

Characters and Unicode

Total characters3297
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

Unique116 ?
Unique (%)96.7%

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 118
 
17.9%
부산진구 27
 
4.1%
2층 16
 
2.4%
1호 15
 
2.3%
북구 11
 
1.7%
3층 11
 
1.7%
해운대구 10
 
1.5%
사하구 10
 
1.5%
금정구 9
 
1.4%
동래구 8
 
1.2%
Other values (298) 426
64.4%
2024-04-20T23:28:42.612092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
694
21.0%
1 161
 
4.9%
부 158
 
4.8%
산 157
 
4.8%
동 138
 
4.2%
구 123
 
3.7%
광 121
 
3.7%
시 119
 
3.6%
역 118
 
3.6%
2 113
 
3.4%
Other values (163) 1395
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1864
56.5%
Space Separator 694
 
21.0%
Decimal Number 678
 
20.6%
Dash Punctuation 34
 
1.0%
Close Punctuation 11
 
0.3%
Open 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 158
 
8.5%
산 157
 
8.4%
동 138
 
7.4%
구 123
 
6.6%
광 121
 
6.5%
시 119
 
6.4%
역 118
 
6.3%
호 94
 
5.0%
지 83
 
4.5%
번 81
 
4.3%
Other values (144) 672
36.1%
Decimal Number
ValueCountFrequency (%)
1 161
23.7%
2 113
16.7%
3 94
13.9%
4 59
 
8.7%
0 55
 
8.1%
5 53
 
7.8%
8 40
 
5.9%
6 39
 
5.8%
9 34
 
5.0%
7 30
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
S 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
694
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1864
56.5%
Common 1430
43.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 158
 
8.5%
산 157
 
8.4%
동 138
 
7.4%
구 123
 
6.6%
광 121
 
6.5%
시 119
 
6.4%
역 118
 
6.3%
호 94
 
5.0%
지 83
 
4.5%
번 81
 
4.3%
Other values (144) 672
36.1%
Common
ValueCountFrequency (%)
694
48.5%
1 161
 
11.3%
2 113
 
7.9%
3 94
 
6.6%
4 59
 
4.1%
0 55
 
3.8%
5 53
 
3.7%
8 40
 
2.8%
6 39
 
2.7%
9 34
 
2.4%
Other values (6) 88
 
6.2%
Latin
ValueCountFrequency (%)
A 1
33.3%
S 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1864
56.5%
ASCII 1433
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
694
48.4%
1 161
 
11.2%
2 113
 
7.9%
3 94
 
6.6%
4 59
 
4.1%
0 55
 
3.8%
5 53
 
3.7%
8 40
 
2.8%
6 39
 
2.7%
9 34
 
2.4%
Other values (9) 91
 
6.4%
Hangul
ValueCountFrequency (%)
부 158
 
8.5%
산 157
 
8.4%
동 138
 
7.4%
구 123
 
6.6%
광 121
 
6.5%
시 119
 
6.4%
역 118
 
6.3%
호 94
 
5.0%
지 83
 
4.5%
번 81
 
4.3%
Other values (144) 672
36.1%

도로명전체주소
Text

MISSING 

Distinct122
Distinct (%)97.6%
Missing13
Missing (%)9.4%
Memory size1.2 KiB
2024-04-20T23:28:43.892747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length30.496
Min length20

Characters and Unicode

Total characters3812
Distinct characters200
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

Unique119 ?
Unique (%)95.2%

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 125
 
17.6%
부산진구 25
 
3.5%
중앙대로 16
 
2.3%
3층 13
 
1.8%
북구 11
 
1.6%
사하구 11
 
1.6%
동구 10
 
1.4%
금정구 10
 
1.4%
동래구 10
 
1.4%
사상구 9
 
1.3%
Other values (331) 469
66.1%
2024-04-20T23:28:45.572053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
584
 
15.3%
부 165
 
4.3%
산 158
 
4.1%
동 155
 
4.1%
시 136
 
3.6%
구 134
 
3.5%
) 131
 
3.4%
( 131
 
3.4%
광 130
 
3.4%
역 125
 
3.3%
Other values (190) 1963
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2283
59.9%
Space Separator 584
 
15.3%
Decimal Number 550
 
14.4%
Close Punctuation 131
 
3.4%
Open Punctuation 131
 
3.4%
Other Punctuation 123
 
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 165
 
7.2%
산 158
 
6.9%
동 155
 
6.8%
시 136
 
6.0%
구 134
 
5.9%
광 130
 
5.7%
역 125
 
5.5%
로 122
 
5.3%
층 88
 
3.9%
대 76
 
3.3%
Other values (173) 994
43.5%
Decimal Number
ValueCountFrequency (%)
2 106
19.3%
1 100
18.2%
3 71
12.9%
4 53
9.6%
0 44
8.0%
5 38
 
6.9%
8 37
 
6.7%
7 36
 
6.5%
9 33
 
6.0%
6 32
 
5.8%
Space Separator
ValueCountFrequency (%)
584
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 123
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 2283
59.9%
Common 1528
40.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 165
 
7.2%
산 158
 
6.9%
동 155
 
6.8%
시 136
 
6.0%
구 134
 
5.9%
광 130
 
5.7%
역 125
 
5.5%
로 122
 
5.3%
층 88
 
3.9%
대 76
 
3.3%
Other values (173) 994
43.5%
Common
ValueCountFrequency (%)
584
38.2%
) 131
 
8.6%
( 131
 
8.6%
, 123
 
8.0%
2 106
 
6.9%
1 100
 
6.5%
3 71
 
4.6%
4 53
 
3.5%
0 44
 
2.9%
5 38
 
2.5%
Other values (6) 147
 
9.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2283
59.9%
ASCII 1529
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
584
38.2%
) 131
 
8.6%
( 131
 
8.6%
, 123
 
8.0%
2 106
 
6.9%
1 100
 
6.5%
3 71
 
4.6%
4 53
 
3.5%
0 44
 
2.9%
5 38
 
2.5%
Other values (7) 148
 
9.7%
Hangul
ValueCountFrequency (%)
부 165
 
7.2%
산 158
 
6.9%
동 155
 
6.8%
시 136
 
6.0%
구 134
 
5.9%
광 130
 
5.7%
역 125
 
5.5%
로 122
 
5.3%
층 88
 
3.9%
대 76
 
3.3%
Other values (173) 994
43.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)38.2%
Missing104
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean26335.882
Minimum26110
Maximum26710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:45.796698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26110
5-th percentile26159.5
Q126230
median26320
Q326380
95-th percentile26593
Maximum26710
Range600
Interquartile range (IQR)150

Descriptive statistics

Standard deviation139.9809
Coefficient of variation (CV)0.0053152159
Kurtosis1.3723022
Mean26335.882
Median Absolute Deviation (MAD)90
Skewness1.0306318
Sum895420
Variance19594.652
MonotonicityNot monotonic
2024-04-20T23:28:45.984056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
26230 7
 
5.1%
26350 5
 
3.6%
26320 4
 
2.9%
26380 3
 
2.2%
26170 2
 
1.4%
26470 2
 
1.4%
26410 2
 
1.4%
26710 2
 
1.4%
26260 2
 
1.4%
26530 2
 
1.4%
Other values (3) 3
 
2.2%
(Missing) 104
75.4%
ValueCountFrequency (%)
26110 1
 
0.7%
26140 1
 
0.7%
26170 2
 
1.4%
26230 7
5.1%
26260 2
 
1.4%
26290 1
 
0.7%
26320 4
2.9%
26350 5
3.6%
26380 3
2.2%
26410 2
 
1.4%
ValueCountFrequency (%)
26710 2
 
1.4%
26530 2
 
1.4%
26470 2
 
1.4%
26410 2
 
1.4%
26380 3
2.2%
26350 5
3.6%
26320 4
2.9%
26290 1
 
0.7%
26260 2
 
1.4%
26230 7
5.1%

사업장명
Text

Distinct136
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-20T23:28:47.168998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length12.492754
Min length10

Characters and Unicode

Total characters1724
Distinct characters183
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

Unique134 ?
Unique (%)97.1%

Sample

1st row해운대요양보호사교육원
2nd row덕천요양보호사교육원
3rd row참사랑요양보호사교육원
4th row소망요양보호사교육원
5th row참빛 요양보호사교육원
ValueCountFrequency (%)
요양보호사교육원 97
36.3%
부설 10
 
3.7%
교육원 8
 
3.0%
요양보호사 7
 
2.6%
안심생활 2
 
0.7%
양지 2
 
0.7%
혜성 1
 
0.4%
동래 1
 
0.4%
반송 1
 
0.4%
참사랑 1
 
0.4%
Other values (137) 137
51.3%
2024-04-20T23:28:48.781496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 157
 
9.1%
교 148
 
8.6%
육 140
 
8.1%
원 140
 
8.1%
보 140
 
8.1%
양 139
 
8.1%
요 137
 
7.9%
호 136
 
7.9%
129
 
7.5%
부 30
 
1.7%
Other values (173) 428
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1578
91.5%
Space Separator 129
 
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 157
 
9.9%
교 148
 
9.4%
육 140
 
8.9%
원 140
 
8.9%
보 140
 
8.9%
양 139
 
8.8%
요 137
 
8.7%
호 136
 
8.6%
부 30
 
1.9%
대 16
 
1.0%
Other values (162) 395
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
J 1
11.1%
H 1
11.1%
B 1
11.1%
A 1
11.1%
C 1
11.1%
W 1
11.1%
Y 1
11.1%
Space Separator
ValueCountFrequency (%)
129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1578
91.5%
Common 137
 
7.9%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 157
 
9.9%
교 148
 
9.4%
육 140
 
8.9%
원 140
 
8.9%
보 140
 
8.9%
양 139
 
8.8%
요 137
 
8.7%
호 136
 
8.6%
부 30
 
1.9%
대 16
 
1.0%
Other values (162) 395
25.0%
Latin
ValueCountFrequency (%)
S 2
22.2%
J 1
11.1%
H 1
11.1%
B 1
11.1%
A 1
11.1%
C 1
11.1%
W 1
11.1%
Y 1
11.1%
Common
ValueCountFrequency (%)
129
94.2%
( 4
 
2.9%
) 4
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1578
91.5%
ASCII 146
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 157
 
9.9%
교 148
 
9.4%
육 140
 
8.9%
원 140
 
8.9%
보 140
 
8.9%
양 139
 
8.8%
요 137
 
8.7%
호 136
 
8.6%
부 30
 
1.9%
대 16
 
1.0%
Other values (162) 395
25.0%
ASCII
ValueCountFrequency (%)
129
88.4%
( 4
 
2.7%
) 4
 
2.7%
S 2
 
1.4%
J 1
 
0.7%
H 1
 
0.7%
B 1
 
0.7%
A 1
 
0.7%
C 1
 
0.7%
W 1
 
0.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174822 × 1013
Minimum2.0100712 × 1013
Maximum2.0221229 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:49.207102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100712 × 1013
5-th percentile2.0110286 × 1013
Q12.0133392 × 1013
median2.0171222 × 1013
Q32.0221101 × 1013
95-th percentile2.0221226 × 1013
Maximum2.0221229 × 1013
Range1.2051697 × 1011
Interquartile range (IQR)8.7709009 × 1010

Descriptive statistics

Standard deviation4.5891315 × 1010
Coefficient of variation (CV)0.0022746825
Kurtosis-1.5335539
Mean2.0174822 × 1013
Median Absolute Deviation (MAD)4.9878988 × 1010
Skewness-0.30589096
Sum2.7841254 × 1015
Variance2.1060128 × 1021
MonotonicityNot monotonic
2024-04-20T23:28:49.670249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221215101844 1
 
0.7%
20110316093012 1
 
0.7%
20110316093310 1
 
0.7%
20210409093529 1
 
0.7%
20110315171836 1
 
0.7%
20110909154304 1
 
0.7%
20141020095933 1
 
0.7%
20150206175148 1
 
0.7%
20110318162422 1
 
0.7%
20140709153738 1
 
0.7%
Other values (128) 128
92.8%
ValueCountFrequency (%)
20100712180310 1
0.7%
20100715200447 1
0.7%
20101025194714 1
0.7%
20101026092159 1
0.7%
20101029164252 1
0.7%
20101029175517 1
0.7%
20110118202945 1
0.7%
20110315155721 1
0.7%
20110315163154 1
0.7%
20110315171151 1
0.7%
ValueCountFrequency (%)
20221229150836 1
0.7%
20221229112426 1
0.7%
20221229112319 1
0.7%
20221227164307 1
0.7%
20221227162506 1
0.7%
20221227110747 1
0.7%
20221227110718 1
0.7%
20221226160808 1
0.7%
20221222151016 1
0.7%
20221221142738 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
75 
U
63 

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 75
54.3%
U 63
45.7%

Length

2024-04-20T23:28:50.091099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:28:50.617910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 75
54.3%
u 63
45.7%

데이터갱신일자
Categorical

Distinct46
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
71 
2022-12-29 02:40:00.0
 
4
2022-03-24 02:40:00.0
 
4
2022-11-18 02:40:00.0
 
4
2022-12-31 02:40:00.0
 
3
Other values (41)
52 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique33 ?
Unique (%)23.9%

Sample

1st row2022-12-17 02:40:00.0
2nd row2022-11-13 02:40:00.0
3rd row2022-12-23 02:40:00.0
4th row2022-11-13 02:40:00.0
5th row2022-09-09 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 71
51.4%
2022-12-29 02:40:00.0 4
 
2.9%
2022-03-24 02:40:00.0 4
 
2.9%
2022-11-18 02:40:00.0 4
 
2.9%
2022-12-31 02:40:00.0 3
 
2.2%
2022-11-03 02:40:00.0 3
 
2.2%
2022-11-13 02:40:00.0 3
 
2.2%
2022-12-15 02:40:00.0 3
 
2.2%
2022-12-22 02:40:00.0 2
 
1.4%
2022-11-30 02:40:00.0 2
 
1.4%
Other values (36) 39
28.3%

Length

2024-04-20T23:28:50.976055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 71
25.7%
23:59:59.0 71
25.7%
02:40:00.0 63
22.8%
2022-12-29 4
 
1.4%
2022-03-24 4
 
1.4%
2022-11-18 4
 
1.4%
2022-12-31 3
 
1.1%
2022-11-03 3
 
1.1%
2022-11-13 3
 
1.1%
2022-12-15 3
 
1.1%
Other values (40) 47
17.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)98.6%
Missing65
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean387907.4
Minimum378603.48
Maximum401668.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:51.400252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378603.48
5-th percentile380076.4
Q1385264.89
median388135.4
Q3390220.03
95-th percentile396827.85
Maximum401668.45
Range23064.97
Interquartile range (IQR)4955.1364

Descriptive statistics

Standard deviation5007.918
Coefficient of variation (CV)0.012910086
Kurtosis0.78922117
Mean387907.4
Median Absolute Deviation (MAD)2229.0429
Skewness0.53249288
Sum28317240
Variance25079243
MonotonicityNot monotonic
2024-04-20T23:28:51.821474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395888.167910697 2
 
1.4%
385264.893979478 1
 
0.7%
381984.293245804 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%
Other values (62) 62
44.9%
(Missing) 65
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 

Distinct72
Distinct (%)98.6%
Missing65
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean187813.64
Minimum177055.55
Maximum198413.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-20T23:28:52.222990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177055.55
5-th percentile179378.13
Q1185158.36
median187842.95
Q3191464.28
95-th percentile195858.77
Maximum198413.27
Range21357.715
Interquartile range (IQR)6305.9169

Descriptive statistics

Standard deviation5005.0636
Coefficient of variation (CV)0.026649096
Kurtosis-0.47127451
Mean187813.64
Median Absolute Deviation (MAD)3494.6065
Skewness-0.12303959
Sum13710395
Variance25050662
MonotonicityNot monotonic
2024-04-20T23:28:52.674636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194489.213658893 2
 
1.4%
185761.03338785 1
 
0.7%
185467.603657087 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%
Other values (62) 62
44.9%
(Missing) 65
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 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

국비지원여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

담당직원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
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>해운대요양보호사교육원20221215101844U2022-12-17 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>덕천요양보호사교육원20221111171922U2022-11-13 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
23요양보호사교육기관11_49_01_P6260000201562600000040004-2015071320150713<NA>1영업/정상0운영<NA><NA><NA><NA>1077748732<NA><NA>부산광역시 해운대구 반송동 298번지 1호 2층부산광역시 해운대구 반송로892번길 8, 2층 (반송동)<NA>참사랑요양보호사교육원20221221142738U2022-12-23 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>소망요양보호사교육원20221111090618U2022-11-13 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 요양보호사교육원20220907154617U2022-09-09 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 요양보호사교육원20221124140141U2022-11-26 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 요양보호사교육원20221101171218U2022-11-03 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 요양보호사교육원20220804111959U2022-08-06 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>동래삼성실버요양보호사교육원20221213150112U2022-12-15 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>서면삼성실버요양보호사교육원20221101094149U2022-11-03 02:40:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)보유자격증명국비지원여부담당직원내용삭제일자Unnamed: 32
128129요양보호사교육기관11_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>
129130요양보호사교육기관11_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>
130131요양보호사교육기관11_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>
131132요양보호사교육기관11_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>
132133요양보호사교육기관11_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>
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