Overview

Dataset statistics

Number of variables39
Number of observations1139
Missing cells10559
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory378.3 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123010

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
시력표수 is highly imbalanced (64.0%)Imbalance
표본렌즈수 is highly imbalanced (62.0%)Imbalance
정점굴절계기수 is highly imbalanced (51.2%)Imbalance
조제용연마기수 is highly imbalanced (58.0%)Imbalance
렌즈절단기수 is highly imbalanced (60.0%)Imbalance
인허가취소일자 has 1139 (100.0%) missing valuesMissing
폐업일자 has 766 (67.3%) missing valuesMissing
휴업시작일자 has 1139 (100.0%) missing valuesMissing
휴업종료일자 has 1139 (100.0%) missing valuesMissing
재개업일자 has 1139 (100.0%) missing valuesMissing
소재지전화 has 165 (14.5%) missing valuesMissing
소재지면적 has 1139 (100.0%) missing valuesMissing
소재지우편번호 has 452 (39.7%) missing valuesMissing
소재지전체주소 has 95 (8.3%) missing valuesMissing
도로명전체주소 has 82 (7.2%) missing valuesMissing
도로명우편번호 has 256 (22.5%) missing valuesMissing
업태구분명 has 1139 (100.0%) missing valuesMissing
좌표정보(x) has 76 (6.7%) missing valuesMissing
좌표정보(y) has 76 (6.7%) missing valuesMissing
측정의자수 has 31 (2.7%) missing valuesMissing
가열기수 has 35 (3.1%) missing valuesMissing
안경세척기수 has 34 (3.0%) missing valuesMissing
총면적 has 513 (45.0%) missing valuesMissing
Unnamed: 38 has 1139 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
측정의자수 has 172 (15.1%) zerosZeros
동공거리측정기수 has 174 (15.3%) zerosZeros
가열기수 has 173 (15.2%) zerosZeros
안경세척기수 has 172 (15.1%) zerosZeros
총면적 has 66 (5.8%) zerosZeros

Reproduction

Analysis started2024-04-21 10:29:22.635946
Analysis finished2024-04-21 10:29:24.111953
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean570
Minimum1
Maximum1139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:24.243093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.9
Q1285.5
median570
Q3854.5
95-th percentile1082.1
Maximum1139
Range1138
Interquartile range (IQR)569

Descriptive statistics

Standard deviation328.94528
Coefficient of variation (CV)0.57709699
Kurtosis-1.2
Mean570
Median Absolute Deviation (MAD)285
Skewness0
Sum649230
Variance108205
MonotonicityStrictly increasing
2024-04-21T19:29:24.691444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
759 1
 
0.1%
765 1
 
0.1%
764 1
 
0.1%
763 1
 
0.1%
762 1
 
0.1%
761 1
 
0.1%
760 1
 
0.1%
758 1
 
0.1%
767 1
 
0.1%
Other values (1129) 1129
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1139 1
0.1%
1138 1
0.1%
1137 1
0.1%
1136 1
0.1%
1135 1
0.1%
1134 1
0.1%
1133 1
0.1%
1132 1
0.1%
1131 1
0.1%
1130 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
안경업
1139 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안경업 1139
100.0%

Length

2024-04-21T19:29:24.915675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:25.069410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1139
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
01_02_01_P
1139 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_01_P
2nd row01_02_01_P
3rd row01_02_01_P
4th row01_02_01_P
5th row01_02_01_P

Common Values

ValueCountFrequency (%)
01_02_01_P 1139
100.0%

Length

2024-04-21T19:29:25.233048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:25.387305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1139
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325030.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:25.539325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39623.38
Coefficient of variation (CV)0.011916696
Kurtosis-0.72155397
Mean3325030.7
Median Absolute Deviation (MAD)30000
Skewness-0.055424443
Sum3.78721 × 109
Variance1.5700122 × 109
MonotonicityNot monotonic
2024-04-21T19:29:25.747144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 175
15.4%
3290000 141
12.4%
3310000 114
10.0%
3330000 98
8.6%
3340000 90
7.9%
3300000 83
7.3%
3250000 76
6.7%
3390000 65
 
5.7%
3320000 64
 
5.6%
3370000 59
 
5.2%
Other values (6) 174
15.3%
ValueCountFrequency (%)
3250000 76
6.7%
3260000 22
 
1.9%
3270000 27
 
2.4%
3280000 26
 
2.3%
3290000 141
12.4%
3300000 83
7.3%
3310000 114
10.0%
3320000 64
5.6%
3330000 98
8.6%
3340000 90
7.9%
ValueCountFrequency (%)
3400000 32
 
2.8%
3390000 65
 
5.7%
3380000 51
 
4.5%
3370000 59
 
5.2%
3360000 16
 
1.4%
3350000 175
15.4%
3340000 90
7.9%
3330000 98
8.6%
3320000 64
 
5.6%
3310000 114
10.0%

관리번호
Text

UNIQUE 

Distinct1139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-04-21T19:29:26.392497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters28475
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1139 ?
Unique (%)100.0%

Sample

1st rowPHMB219843250021082200001
2nd rowPHMB220123370022082200002
3rd rowPHMB219953290024082200001
4th rowPHMB220153290024082200006
5th rowPHMB220103390023082200001
ValueCountFrequency (%)
phmb219843250021082200001 1
 
0.1%
phmb219983390023082200001 1
 
0.1%
phmb219903390023082200001 1
 
0.1%
phmb219873390023082200001 1
 
0.1%
phmb219863390023082200001 1
 
0.1%
phmb219853390023082200002 1
 
0.1%
phmb219853390023082200001 1
 
0.1%
phmb220203390023082200001 1
 
0.1%
phmb219963390023082200001 1
 
0.1%
phmb219953390023082200001 1
 
0.1%
Other values (1129) 1129
99.1%
2024-04-21T19:29:27.240819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9309
32.7%
2 6046
21.2%
3 2499
 
8.8%
1 1561
 
5.5%
8 1473
 
5.2%
P 1139
 
4.0%
H 1139
 
4.0%
M 1139
 
4.0%
B 1139
 
4.0%
4 1022
 
3.6%
Other values (4) 2009
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23919
84.0%
Uppercase Letter 4556
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9309
38.9%
2 6046
25.3%
3 2499
 
10.4%
1 1561
 
6.5%
8 1473
 
6.2%
4 1022
 
4.3%
9 971
 
4.1%
5 581
 
2.4%
7 246
 
1.0%
6 211
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1139
25.0%
H 1139
25.0%
M 1139
25.0%
B 1139
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23919
84.0%
Latin 4556
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9309
38.9%
2 6046
25.3%
3 2499
 
10.4%
1 1561
 
6.5%
8 1473
 
6.2%
4 1022
 
4.3%
9 971
 
4.1%
5 581
 
2.4%
7 246
 
1.0%
6 211
 
0.9%
Latin
ValueCountFrequency (%)
P 1139
25.0%
H 1139
25.0%
M 1139
25.0%
B 1139
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9309
32.7%
2 6046
21.2%
3 2499
 
8.8%
1 1561
 
5.5%
8 1473
 
5.2%
P 1139
 
4.0%
H 1139
 
4.0%
M 1139
 
4.0%
B 1139
 
4.0%
4 1022
 
3.6%
Other values (4) 2009
 
7.1%

인허가일자
Real number (ℝ)

Distinct1044
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20035349
Minimum19710518
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:27.494573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850494
Q119951013
median20050913
Q320121114
95-th percentile20181029
Maximum20201230
Range490712
Interquartile range (IQR)170101.5

Descriptive statistics

Standard deviation107435.88
Coefficient of variation (CV)0.0053623162
Kurtosis-0.75421482
Mean20035349
Median Absolute Deviation (MAD)80313
Skewness-0.42349354
Sum2.2820262 × 1010
Variance1.1542468 × 1010
MonotonicityNot monotonic
2024-04-21T19:29:27.767596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910628 12
 
1.1%
19901119 5
 
0.4%
20150731 3
 
0.3%
20000908 3
 
0.3%
19910718 2
 
0.2%
20030901 2
 
0.2%
20160422 2
 
0.2%
19990520 2
 
0.2%
19910724 2
 
0.2%
20170908 2
 
0.2%
Other values (1034) 1104
96.9%
ValueCountFrequency (%)
19710518 1
0.1%
19750813 1
0.1%
19751230 1
0.1%
19770602 1
0.1%
19780306 1
0.1%
19780419 1
0.1%
19780711 1
0.1%
19780812 1
0.1%
19780825 1
0.1%
19781027 1
0.1%
ValueCountFrequency (%)
20201230 1
0.1%
20201222 1
0.1%
20201207 1
0.1%
20201104 1
0.1%
20201008 1
0.1%
20200928 1
0.1%
20200925 1
0.1%
20200918 2
0.2%
20200914 1
0.1%
20200911 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1139
Missing (%)100.0%
Memory size10.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
750 
3
381 
4
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 750
65.8%
3 381
33.5%
4 8
 
0.7%

Length

2024-04-21T19:29:28.160817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:28.466618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 750
65.8%
3 381
33.5%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
영업/정상
750 
폐업
381 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.0597015
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 750
65.8%
폐업 381
33.5%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:29:28.821850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:29.141875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 750
65.8%
폐업 381
33.5%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
13
750 
3
381 
24
 
8

Length

Max length2
Median length2
Mean length1.665496
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24
2nd row24
3rd row24
4th row24
5th row24

Common Values

ValueCountFrequency (%)
13 750
65.8%
3 381
33.5%
24 8
 
0.7%

Length

2024-04-21T19:29:29.505289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:29.827543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 750
65.8%
3 381
33.5%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
영업중
750 
폐업
381 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6725198
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 750
65.8%
폐업 381
33.5%
직권폐업 8
 
0.7%

Length

2024-04-21T19:29:30.208871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:30.553684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 750
65.8%
폐업 381
33.5%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct343
Distinct (%)92.0%
Missing766
Missing (%)67.3%
Infinite0
Infinite (%)0.0%
Mean20095077
Minimum19851128
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:30.903205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19920634
Q120051209
median20110630
Q320160812
95-th percentile20191022
Maximum20201230
Range350102
Interquartile range (IQR)109603

Descriptive statistics

Standard deviation84610.55
Coefficient of variation (CV)0.0042105113
Kurtosis-0.29710837
Mean20095077
Median Absolute Deviation (MAD)50194
Skewness-0.87868035
Sum7.4954638 × 109
Variance7.1589452 × 109
MonotonicityNot monotonic
2024-04-21T19:29:31.363944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20170222 2
 
0.2%
20100803 2
 
0.2%
20091028 2
 
0.2%
20110131 2
 
0.2%
20110211 2
 
0.2%
20110216 2
 
0.2%
20110418 2
 
0.2%
20181112 2
 
0.2%
20120508 2
 
0.2%
Other values (333) 352
30.9%
(Missing) 766
67.3%
ValueCountFrequency (%)
19851128 1
0.1%
19900226 1
0.1%
19900507 1
0.1%
19900514 1
0.1%
19900927 1
0.1%
19901128 1
0.1%
19910122 1
0.1%
19910314 1
0.1%
19910406 2
0.2%
19910531 2
0.2%
ValueCountFrequency (%)
20201230 2
0.2%
20201228 1
0.1%
20200915 1
0.1%
20200825 1
0.1%
20200629 1
0.1%
20200529 1
0.1%
20200521 1
0.1%
20200518 1
0.1%
20200219 1
0.1%
20200214 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1139
Missing (%)100.0%
Memory size10.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1139
Missing (%)100.0%
Memory size10.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1139
Missing (%)100.0%
Memory size10.1 KiB

소재지전화
Text

MISSING 

Distinct925
Distinct (%)95.0%
Missing165
Missing (%)14.5%
Memory size9.0 KiB
2024-04-21T19:29:32.210545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.264887
Min length7

Characters and Unicode

Total characters10972
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique884 ?
Unique (%)90.8%

Sample

1st row051-463-0479
2nd row051-868-7488
3rd row051-805-3306
4th row051-808-7088
5th row051-808-7088
ValueCountFrequency (%)
051-808-7088 4
 
0.4%
051-337-7111 3
 
0.3%
051-816-4500 3
 
0.3%
051-623-7778 3
 
0.3%
051-647-5766 3
 
0.3%
261-6700 3
 
0.3%
051-625-8471 3
 
0.3%
051-751-5005 2
 
0.2%
051-625-0330 2
 
0.2%
051-361-1335 2
 
0.2%
Other values (915) 946
97.1%
2024-04-21T19:29:33.428286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1708
15.6%
0 1665
15.2%
5 1522
13.9%
1 1510
13.8%
2 824
7.5%
8 690
6.3%
6 680
 
6.2%
7 674
 
6.1%
3 674
 
6.1%
4 607
 
5.5%
Other values (4) 418
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9221
84.0%
Dash Punctuation 1708
 
15.6%
Close Punctuation 39
 
0.4%
Math Symbol 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1665
18.1%
5 1522
16.5%
1 1510
16.4%
2 824
8.9%
8 690
7.5%
6 680
7.4%
7 674
7.3%
3 674
7.3%
4 607
 
6.6%
9 375
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1708
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10972
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1708
15.6%
0 1665
15.2%
5 1522
13.9%
1 1510
13.8%
2 824
7.5%
8 690
6.3%
6 680
 
6.2%
7 674
 
6.1%
3 674
 
6.1%
4 607
 
5.5%
Other values (4) 418
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1708
15.6%
0 1665
15.2%
5 1522
13.9%
1 1510
13.8%
2 824
7.5%
8 690
6.3%
6 680
 
6.2%
7 674
 
6.1%
3 674
 
6.1%
4 607
 
5.5%
Other values (4) 418
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1139
Missing (%)100.0%
Memory size10.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct343
Distinct (%)49.9%
Missing452
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean608193.53
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:33.822083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48272
5-th percentile601812
Q1607832
median609840
Q3614042.5
95-th percentile617584.3
Maximum619963
Range571691
Interquartile range (IQR)6210.5

Descriptive statistics

Standard deviation37374.286
Coefficient of variation (CV)0.061451304
Kurtosis218.69553
Mean608193.53
Median Absolute Deviation (MAD)3967
Skewness-14.718714
Sum4.1782895 × 108
Variance1.3968372 × 109
MonotonicityNot monotonic
2024-04-21T19:29:34.236489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 33
 
2.9%
614845 8
 
0.7%
609834 8
 
0.7%
608805 7
 
0.6%
611089 7
 
0.6%
609800 7
 
0.6%
609822 7
 
0.6%
614030 7
 
0.6%
616852 7
 
0.6%
604851 6
 
0.5%
Other values (333) 590
51.8%
(Missing) 452
39.7%
ValueCountFrequency (%)
48272 1
 
0.1%
48296 1
 
0.1%
49247 1
 
0.1%
600016 1
 
0.1%
600017 1
 
0.1%
600031 2
0.2%
600032 3
0.3%
600042 1
 
0.1%
600045 1
 
0.1%
600052 1
 
0.1%
ValueCountFrequency (%)
619963 6
0.5%
619961 1
 
0.1%
619912 2
 
0.2%
619905 5
0.4%
619903 4
0.4%
618814 2
 
0.2%
618807 1
 
0.1%
617846 2
 
0.2%
617833 1
 
0.1%
617830 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct995
Distinct (%)95.3%
Missing95
Missing (%)8.3%
Memory size9.0 KiB
2024-04-21T19:29:35.578737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.208812
Min length3

Characters and Unicode

Total characters25274
Distinct characters294
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique952 ?
Unique (%)91.2%

Sample

1st row부산광역시 중구 영주1동 26-1
2nd row부산광역시 연제구 거제1동 2번지 60호
3rd row부산광역시 부산진구 부전동 256번지 6호 14통
4th row부산광역시 부산진구 초읍동 271번지 1호
5th row부산광역시 사상구 괘법동 546번지 1호 (105호)
ValueCountFrequency (%)
부산광역시 1014
 
19.1%
금정구 169
 
3.2%
부산진구 136
 
2.6%
1호 125
 
2.4%
남구 105
 
2.0%
사하구 83
 
1.6%
동래구 79
 
1.5%
중구 72
 
1.4%
해운대구 68
 
1.3%
1층 68
 
1.3%
Other values (1335) 3381
63.8%
2024-04-21T19:29:37.350538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4271
 
16.9%
1 1365
 
5.4%
부 1312
 
5.2%
산 1248
 
4.9%
동 1166
 
4.6%
시 1052
 
4.2%
구 1052
 
4.2%
광 1044
 
4.1%
역 1016
 
4.0%
2 896
 
3.5%
Other values (284) 10852
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15017
59.4%
Decimal Number 5563
 
22.0%
Space Separator 4271
 
16.9%
Dash Punctuation 247
 
1.0%
Uppercase Letter 63
 
0.2%
Other Punctuation 47
 
0.2%
Close Punctuation 31
 
0.1%
Open Punctuation 31
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1312
 
8.7%
산 1248
 
8.3%
동 1166
 
7.8%
시 1052
 
7.0%
구 1052
 
7.0%
광 1044
 
7.0%
역 1016
 
6.8%
지 840
 
5.6%
호 803
 
5.3%
번 793
 
5.3%
Other values (250) 4691
31.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
K 10
15.9%
B 7
11.1%
A 6
9.5%
C 5
7.9%
E 5
7.9%
H 5
7.9%
U 4
 
6.3%
Y 4
 
6.3%
G 2
 
3.2%
Other values (3) 4
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 1365
24.5%
2 896
16.1%
3 623
11.2%
4 528
 
9.5%
5 458
 
8.2%
0 395
 
7.1%
6 354
 
6.4%
7 333
 
6.0%
8 314
 
5.6%
9 297
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 39
83.0%
. 5
 
10.6%
@ 2
 
4.3%
/ 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
4271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15017
59.4%
Common 10192
40.3%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1312
 
8.7%
산 1248
 
8.3%
동 1166
 
7.8%
시 1052
 
7.0%
구 1052
 
7.0%
광 1044
 
7.0%
역 1016
 
6.8%
지 840
 
5.6%
호 803
 
5.3%
번 793
 
5.3%
Other values (250) 4691
31.2%
Common
ValueCountFrequency (%)
4271
41.9%
1 1365
 
13.4%
2 896
 
8.8%
3 623
 
6.1%
4 528
 
5.2%
5 458
 
4.5%
0 395
 
3.9%
6 354
 
3.5%
7 333
 
3.3%
8 314
 
3.1%
Other values (9) 655
 
6.4%
Latin
ValueCountFrequency (%)
S 11
16.9%
K 10
15.4%
B 7
10.8%
A 6
9.2%
C 5
7.7%
E 5
7.7%
H 5
7.7%
U 4
 
6.2%
Y 4
 
6.2%
G 2
 
3.1%
Other values (5) 6
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15017
59.4%
ASCII 10257
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4271
41.6%
1 1365
 
13.3%
2 896
 
8.7%
3 623
 
6.1%
4 528
 
5.1%
5 458
 
4.5%
0 395
 
3.9%
6 354
 
3.5%
7 333
 
3.2%
8 314
 
3.1%
Other values (24) 720
 
7.0%
Hangul
ValueCountFrequency (%)
부 1312
 
8.7%
산 1248
 
8.3%
동 1166
 
7.8%
시 1052
 
7.0%
구 1052
 
7.0%
광 1044
 
7.0%
역 1016
 
6.8%
지 840
 
5.6%
호 803
 
5.3%
번 793
 
5.3%
Other values (250) 4691
31.2%

도로명전체주소
Text

MISSING 

Distinct985
Distinct (%)93.2%
Missing82
Missing (%)7.2%
Memory size9.0 KiB
2024-04-21T19:29:38.696951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length27.812677
Min length20

Characters and Unicode

Total characters29398
Distinct characters340
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique927 ?
Unique (%)87.7%

Sample

1st row부산광역시 연제구 거제천로 191 (거제동)
2nd row부산광역시 부산진구 서면로 56 (부전동)
3rd row부산광역시 부산진구 새싹로 237, 102호 (초읍동, 창곡종합시장)
4th row부산광역시 사상구 사상로 200 (괘법동)
5th row부산광역시 금정구 온천장로 136-1, 패밀리외과병원 1층 (장전동)
ValueCountFrequency (%)
부산광역시 1057
 
17.9%
금정구 153
 
2.6%
1층 148
 
2.5%
부산진구 135
 
2.3%
해운대구 97
 
1.6%
남구 91
 
1.5%
사하구 85
 
1.4%
동래구 82
 
1.4%
중구 72
 
1.2%
부전동 68
 
1.2%
Other values (1299) 3912
66.3%
2024-04-21T19:29:40.453460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4846
 
16.5%
부 1345
 
4.6%
동 1337
 
4.5%
산 1290
 
4.4%
광 1139
 
3.9%
시 1132
 
3.9%
구 1092
 
3.7%
역 1058
 
3.6%
) 1045
 
3.6%
( 1045
 
3.6%
Other values (330) 14069
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17599
59.9%
Space Separator 4846
 
16.5%
Decimal Number 4124
 
14.0%
Close Punctuation 1045
 
3.6%
Open Punctuation 1045
 
3.6%
Other Punctuation 494
 
1.7%
Dash Punctuation 163
 
0.6%
Uppercase Letter 70
 
0.2%
Math Symbol 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1345
 
7.6%
동 1337
 
7.6%
산 1290
 
7.3%
광 1139
 
6.5%
시 1132
 
6.4%
구 1092
 
6.2%
역 1058
 
6.0%
로 1042
 
5.9%
대 569
 
3.2%
정 252
 
1.4%
Other values (295) 7343
41.7%
Uppercase Letter
ValueCountFrequency (%)
S 14
20.0%
K 12
17.1%
B 10
14.3%
H 5
 
7.1%
A 5
 
7.1%
C 5
 
7.1%
G 4
 
5.7%
Y 4
 
5.7%
U 4
 
5.7%
E 3
 
4.3%
Other values (4) 4
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 1019
24.7%
2 639
15.5%
3 390
 
9.5%
0 353
 
8.6%
4 349
 
8.5%
7 310
 
7.5%
5 305
 
7.4%
6 285
 
6.9%
9 240
 
5.8%
8 234
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
b 1
20.0%
h 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 490
99.2%
. 4
 
0.8%
Space Separator
ValueCountFrequency (%)
4846
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1045
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1045
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17599
59.9%
Common 11724
39.9%
Latin 75
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1345
 
7.6%
동 1337
 
7.6%
산 1290
 
7.3%
광 1139
 
6.5%
시 1132
 
6.4%
구 1092
 
6.2%
역 1058
 
6.0%
로 1042
 
5.9%
대 569
 
3.2%
정 252
 
1.4%
Other values (295) 7343
41.7%
Latin
ValueCountFrequency (%)
S 14
18.7%
K 12
16.0%
B 10
13.3%
H 5
 
6.7%
A 5
 
6.7%
C 5
 
6.7%
G 4
 
5.3%
Y 4
 
5.3%
U 4
 
5.3%
E 3
 
4.0%
Other values (8) 9
12.0%
Common
ValueCountFrequency (%)
4846
41.3%
) 1045
 
8.9%
( 1045
 
8.9%
1 1019
 
8.7%
2 639
 
5.5%
, 490
 
4.2%
3 390
 
3.3%
0 353
 
3.0%
4 349
 
3.0%
7 310
 
2.6%
Other values (7) 1238
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17599
59.9%
ASCII 11799
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4846
41.1%
) 1045
 
8.9%
( 1045
 
8.9%
1 1019
 
8.6%
2 639
 
5.4%
, 490
 
4.2%
3 390
 
3.3%
0 353
 
3.0%
4 349
 
3.0%
7 310
 
2.6%
Other values (25) 1313
 
11.1%
Hangul
ValueCountFrequency (%)
부 1345
 
7.6%
동 1337
 
7.6%
산 1290
 
7.3%
광 1139
 
6.5%
시 1132
 
6.4%
구 1092
 
6.2%
역 1058
 
6.0%
로 1042
 
5.9%
대 569
 
3.2%
정 252
 
1.4%
Other values (295) 7343
41.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct528
Distinct (%)59.8%
Missing256
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean84891.69
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:40.848899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46245.1
Q147129.5
median47877
Q348945
95-th percentile608805
Maximum619963
Range573959
Interquartile range (IQR)1815.5

Descriptive statistics

Standard deviation139931.42
Coefficient of variation (CV)1.6483524
Kurtosis10.363634
Mean84891.69
Median Absolute Deviation (MAD)871
Skewness3.5125492
Sum74959362
Variance1.9580802 × 1010
MonotonicityNot monotonic
2024-04-21T19:29:41.273956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48946 20
 
1.8%
48953 12
 
1.1%
46291 11
 
1.0%
48945 9
 
0.8%
47295 8
 
0.7%
46576 8
 
0.7%
47296 8
 
0.7%
48095 7
 
0.6%
47254 7
 
0.6%
47286 6
 
0.5%
Other values (518) 787
69.1%
(Missing) 256
 
22.5%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 2
0.2%
46010 1
 
0.1%
46015 4
0.4%
46017 1
 
0.1%
46029 1
 
0.1%
46048 2
0.2%
46055 1
 
0.1%
46056 1
 
0.1%
46061 1
 
0.1%
ValueCountFrequency (%)
619963 1
0.1%
619961 1
0.1%
619912 1
0.1%
619905 1
0.1%
619903 2
0.2%
618803 1
0.1%
617823 1
0.1%
617818 1
0.1%
617816 1
0.1%
617800 1
0.1%

사업장명
Text

Distinct889
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-04-21T19:29:42.142200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.6988586
Min length2

Characters and Unicode

Total characters7630
Distinct characters407
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique772 ?
Unique (%)67.8%

Sample

1st row부산당안경점
2nd row산타클로스안경
3rd row제일안경콘택트
4th row피카소안경원
5th row갤러리 안경
ValueCountFrequency (%)
안경원 64
 
4.5%
안경 42
 
3.0%
갤러리안경 30
 
2.1%
안경나라 20
 
1.4%
눈사랑안경 18
 
1.3%
갤러리안경원 13
 
0.9%
초이스안경 13
 
0.9%
오렌즈 12
 
0.9%
제일안경원 11
 
0.8%
세컨페이스 10
 
0.7%
Other values (894) 1177
83.5%
2024-04-21T19:29:43.419330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1037
 
13.6%
경 1035
 
13.6%
원 396
 
5.2%
271
 
3.6%
점 257
 
3.4%
이 251
 
3.3%
아 195
 
2.6%
스 172
 
2.3%
리 124
 
1.6%
0 88
 
1.2%
Other values (397) 3804
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6899
90.4%
Space Separator 271
 
3.6%
Decimal Number 177
 
2.3%
Uppercase Letter 85
 
1.1%
Lowercase Letter 58
 
0.8%
Open Punctuation 56
 
0.7%
Close Punctuation 56
 
0.7%
Other Punctuation 22
 
0.3%
Dash Punctuation 3
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 1037
 
15.0%
경 1035
 
15.0%
원 396
 
5.7%
점 257
 
3.7%
이 251
 
3.6%
아 195
 
2.8%
스 172
 
2.5%
리 124
 
1.8%
트 83
 
1.2%
비 81
 
1.2%
Other values (340) 3268
47.4%
Uppercase Letter
ValueCountFrequency (%)
O 13
15.3%
E 8
 
9.4%
S 7
 
8.2%
L 6
 
7.1%
G 5
 
5.9%
K 5
 
5.9%
M 4
 
4.7%
I 4
 
4.7%
C 4
 
4.7%
N 4
 
4.7%
Other values (12) 25
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
12.1%
a 6
10.3%
c 6
10.3%
i 6
10.3%
o 6
10.3%
n 5
8.6%
t 5
8.6%
l 4
6.9%
p 3
 
5.2%
h 2
 
3.4%
Other values (7) 8
13.8%
Decimal Number
ValueCountFrequency (%)
0 88
49.7%
1 43
24.3%
8 22
 
12.4%
5 16
 
9.0%
2 4
 
2.3%
3 3
 
1.7%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 13
59.1%
· 4
 
18.2%
& 3
 
13.6%
# 2
 
9.1%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
ⓝ 1
50.0%
Space Separator
ValueCountFrequency (%)
271
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6899
90.4%
Common 587
 
7.7%
Latin 143
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1037
 
15.0%
경 1035
 
15.0%
원 396
 
5.7%
점 257
 
3.7%
이 251
 
3.6%
아 195
 
2.8%
스 172
 
2.5%
리 124
 
1.8%
트 83
 
1.2%
비 81
 
1.2%
Other values (340) 3268
47.4%
Latin
ValueCountFrequency (%)
O 13
 
9.1%
E 8
 
5.6%
e 7
 
4.9%
S 7
 
4.9%
a 6
 
4.2%
c 6
 
4.2%
i 6
 
4.2%
L 6
 
4.2%
o 6
 
4.2%
G 5
 
3.5%
Other values (29) 73
51.0%
Common
ValueCountFrequency (%)
271
46.2%
0 88
 
15.0%
( 56
 
9.5%
) 56
 
9.5%
1 43
 
7.3%
8 22
 
3.7%
5 16
 
2.7%
. 13
 
2.2%
· 4
 
0.7%
2 4
 
0.7%
Other values (7) 14
 
2.4%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6898
90.4%
ASCII 725
 
9.5%
None 5
 
0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1037
 
15.0%
경 1035
 
15.0%
원 396
 
5.7%
점 257
 
3.7%
이 251
 
3.6%
아 195
 
2.8%
스 172
 
2.5%
리 124
 
1.8%
트 83
 
1.2%
비 81
 
1.2%
Other values (339) 3267
47.4%
ASCII
ValueCountFrequency (%)
271
37.4%
0 88
 
12.1%
( 56
 
7.7%
) 56
 
7.7%
1 43
 
5.9%
8 22
 
3.0%
5 16
 
2.2%
. 13
 
1.8%
O 13
 
1.8%
E 8
 
1.1%
Other values (44) 139
19.2%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1113
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144541 × 1013
Minimum2.008112 × 1013
Maximum2.020123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:43.843592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120215 × 1013
median2.0141129 × 1013
Q32.017122 × 1013
95-th percentile2.0200507 × 1013
Maximum2.020123 × 1013
Range1.2011003 × 1011
Interquartile range (IQR)5.1004477 × 1010

Descriptive statistics

Standard deviation3.5516805 × 1010
Coefficient of variation (CV)0.0017630983
Kurtosis-1.1069977
Mean2.0144541 × 1013
Median Absolute Deviation (MAD)2.9701014 × 1010
Skewness-0.062743373
Sum2.2944632 × 1016
Variance1.2614434 × 1021
MonotonicityNot monotonic
2024-04-21T19:29:44.513542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183150 18
 
1.6%
20081215160833 6
 
0.5%
20081215160832 4
 
0.4%
20081201183151 2
 
0.2%
20111124092048 1
 
0.1%
20121220160844 1
 
0.1%
20111123154443 1
 
0.1%
20111123153919 1
 
0.1%
20181126120152 1
 
0.1%
20081206110426 1
 
0.1%
Other values (1103) 1103
96.8%
ValueCountFrequency (%)
20081120141639 1
 
0.1%
20081126140756 1
 
0.1%
20081126141153 1
 
0.1%
20081201183150 18
1.6%
20081201183151 2
 
0.2%
20081206110426 1
 
0.1%
20081215160831 1
 
0.1%
20081215160832 4
 
0.4%
20081215160833 6
 
0.5%
20081226155323 1
 
0.1%
ValueCountFrequency (%)
20201230175100 1
0.1%
20201230151958 1
0.1%
20201228171556 1
0.1%
20201228111707 1
0.1%
20201222130943 1
0.1%
20201214173131 1
0.1%
20201214165542 1
0.1%
20201214162436 1
0.1%
20201209101527 1
0.1%
20201208165741 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
I
952 
U
187 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 952
83.6%
U 187
 
16.4%

Length

2024-04-21T19:29:44.924526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:45.220039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 952
83.6%
u 187
 
16.4%

데이터갱신일자
Date

Distinct189
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-01 02:40:00
2024-04-21T19:29:45.540031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:29:45.977578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1139
Missing (%)100.0%
Memory size10.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct912
Distinct (%)85.8%
Missing76
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean388114.94
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:46.391076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379711.73
Q1384886.65
median388648.63
Q3391256.59
95-th percentile397351.46
Maximum403236.19
Range36128.006
Interquartile range (IQR)6369.9431

Descriptive statistics

Standard deviation5225.9411
Coefficient of variation (CV)0.013464931
Kurtosis0.44452301
Mean388114.94
Median Absolute Deviation (MAD)3201.2292
Skewness-0.028267095
Sum4.1256618 × 108
Variance27310460
MonotonicityNot monotonic
2024-04-21T19:29:46.836632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387618.822819234 8
 
0.7%
387271.299492377 6
 
0.5%
385590.814676765 5
 
0.4%
389314.662085919 5
 
0.4%
389097.800933845 5
 
0.4%
389816.233000769 5
 
0.4%
387920.292112964 5
 
0.4%
393952.264486105 4
 
0.4%
384874.515689472 4
 
0.4%
398237.363461482 4
 
0.4%
Other values (902) 1012
88.8%
(Missing) 76
 
6.7%
ValueCountFrequency (%)
367108.187126995 1
0.1%
371179.51398421 1
0.1%
371180.37604943 1
0.1%
373495.79454295 1
0.1%
373508.720158398 1
0.1%
373510.894532737 1
0.1%
373561.0 1
0.1%
373576.028819056 1
0.1%
374846.363500608 1
0.1%
374851.695086299 1
0.1%
ValueCountFrequency (%)
403236.192851 1
 
0.1%
402168.434114938 3
0.3%
401739.342184973 1
 
0.1%
401727.549967414 1
 
0.1%
401723.705169194 1
 
0.1%
401721.440535713 1
 
0.1%
401712.115666 1
 
0.1%
401709.206084507 1
 
0.1%
401687.081587248 1
 
0.1%
401678.104349687 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct912
Distinct (%)85.8%
Missing76
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean187335.09
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:47.243115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178554.53
Q1183609.25
median187061.14
Q3191856
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8246.7551

Descriptive statistics

Standard deviation5849.2526
Coefficient of variation (CV)0.031223475
Kurtosis-0.17334755
Mean187335.09
Median Absolute Deviation (MAD)4354.2644
Skewness0.17936967
Sum1.991372 × 108
Variance34213757
MonotonicityNot monotonic
2024-04-21T19:29:47.664722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.478853367 8
 
0.7%
186099.137533193 6
 
0.5%
179553.867031936 5
 
0.4%
194669.898821687 5
 
0.4%
192260.811648263 5
 
0.4%
193329.605871168 5
 
0.4%
186157.316240551 5
 
0.4%
187602.933160728 4
 
0.4%
179978.235223733 4
 
0.4%
187720.511056894 4
 
0.4%
Other values (902) 1012
88.8%
(Missing) 76
 
6.7%
ValueCountFrequency (%)
174016.551235181 1
 
0.1%
174289.976688419 2
0.2%
174820.944129501 1
 
0.1%
174883.742734168 2
0.2%
174910.857552639 1
 
0.1%
174915.765704636 1
 
0.1%
174922.72397246 1
 
0.1%
175057.154813024 1
 
0.1%
175314.286676535 1
 
0.1%
175382.738615908 3
0.3%
ValueCountFrequency (%)
206377.970967 1
0.1%
206209.450536273 1
0.1%
205965.90747 1
0.1%
205730.304383 1
0.1%
205464.225232 1
0.1%
205376.57603 1
0.1%
205312.201457 1
0.1%
205109.080405 1
0.1%
205056.269216 1
0.1%
205035.508686 1
0.1%

시력표수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
931 
0
172 
2
 
29
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0131694
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 931
81.7%
0 172
 
15.1%
2 29
 
2.5%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:29:48.090213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:48.421127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 931
81.7%
0 172
 
15.1%
2 29
 
2.5%
na 5
 
0.4%
3 2
 
0.2%

표본렌즈수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
905 
0
172 
2
 
33
<NA>
 
22
3
 
6

Length

Max length4
Median length1
Mean length1.0597015
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 905
79.5%
0 172
 
15.1%
2 33
 
2.9%
<NA> 22
 
1.9%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:29:48.792009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:49.127948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
79.5%
0 172
 
15.1%
2 33
 
2.9%
na 22
 
1.9%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing31
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean0.91155235
Minimum0
Maximum11
Zeros172
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:49.444552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.57447366
Coefficient of variation (CV)0.63021467
Kurtosis90.108692
Mean0.91155235
Median Absolute Deviation (MAD)0
Skewness5.4688931
Sum1010
Variance0.33001999
MonotonicityNot monotonic
2024-04-21T19:29:49.780429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
77.6%
0 172
 
15.1%
2 43
 
3.8%
3 4
 
0.4%
4 3
 
0.3%
11 1
 
0.1%
5 1
 
0.1%
(Missing) 31
 
2.7%
ValueCountFrequency (%)
0 172
 
15.1%
1 884
77.6%
2 43
 
3.8%
3 4
 
0.4%
4 3
 
0.3%
5 1
 
0.1%
11 1
 
0.1%
ValueCountFrequency (%)
11 1
 
0.1%
5 1
 
0.1%
4 3
 
0.3%
3 4
 
0.4%
2 43
 
3.8%
1 884
77.6%
0 172
 
15.1%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.91975309
Minimum0
Maximum10
Zeros174
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:50.113494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60426371
Coefficient of variation (CV)0.6569847
Kurtosis55.238166
Mean0.91975309
Median Absolute Deviation (MAD)0
Skewness4.5811209
Sum1043
Variance0.36513463
MonotonicityNot monotonic
2024-04-21T19:29:50.459288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 913
80.2%
0 174
 
15.3%
2 31
 
2.7%
3 7
 
0.6%
5 5
 
0.4%
4 3
 
0.3%
10 1
 
0.1%
(Missing) 5
 
0.4%
ValueCountFrequency (%)
0 174
 
15.3%
1 913
80.2%
2 31
 
2.7%
3 7
 
0.6%
4 3
 
0.3%
5 5
 
0.4%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
5 5
 
0.4%
4 3
 
0.3%
3 7
 
0.6%
2 31
 
2.7%
1 913
80.2%
0 174
 
15.3%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
830 
0
172 
2
97 
3
 
27
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0184372
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 830
72.9%
0 172
 
15.1%
2 97
 
8.5%
3 27
 
2.4%
<NA> 7
 
0.6%
4 6
 
0.5%

Length

2024-04-21T19:29:50.846714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:51.183758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 830
72.9%
0 172
 
15.1%
2 97
 
8.5%
3 27
 
2.4%
na 7
 
0.6%
4 6
 
0.5%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
901 
0
174 
<NA>
 
35
2
 
28
3
 
1

Length

Max length4
Median length1
Mean length1.0921861
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 901
79.1%
0 174
 
15.3%
<NA> 35
 
3.1%
2 28
 
2.5%
3 1
 
0.1%

Length

2024-04-21T19:29:51.565275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:51.896560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 901
79.1%
0 174
 
15.3%
na 35
 
3.1%
2 28
 
2.5%
3 1
 
0.1%

렌즈절단기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
911 
0
175 
<NA>
 
33
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.0869183
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 911
80.0%
0 175
 
15.4%
<NA> 33
 
2.9%
2 19
 
1.7%
3 1
 
0.1%

Length

2024-04-21T19:29:52.271632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:52.603618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
80.0%
0 175
 
15.4%
na 33
 
2.9%
2 19
 
1.7%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing35
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.96105072
Minimum0
Maximum5
Zeros173
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:52.910268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.56276514
Coefficient of variation (CV)0.58557278
Kurtosis6.4284331
Mean0.96105072
Median Absolute Deviation (MAD)0
Skewness0.99822263
Sum1061
Variance0.31670461
MonotonicityNot monotonic
2024-04-21T19:29:53.249589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
71.8%
0 173
 
15.2%
2 101
 
8.9%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 35
 
3.1%
ValueCountFrequency (%)
0 173
 
15.2%
1 818
71.8%
2 101
 
8.9%
3 9
 
0.8%
4 1
 
0.1%
5 2
 
0.2%
ValueCountFrequency (%)
5 2
 
0.2%
4 1
 
0.1%
3 9
 
0.8%
2 101
 
8.9%
1 818
71.8%
0 173
 
15.2%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing34
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean0.99547511
Minimum0
Maximum5
Zeros172
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:53.570018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60266421
Coefficient of variation (CV)0.60540359
Kurtosis4.0128586
Mean0.99547511
Median Absolute Deviation (MAD)0
Skewness0.92216938
Sum1100
Variance0.36320414
MonotonicityNot monotonic
2024-04-21T19:29:53.905716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
69.5%
0 172
 
15.1%
2 119
 
10.4%
3 19
 
1.7%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 34
 
3.0%
ValueCountFrequency (%)
0 172
 
15.1%
1 792
69.5%
2 119
 
10.4%
3 19
 
1.7%
4 2
 
0.2%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 2
 
0.2%
3 19
 
1.7%
2 119
 
10.4%
1 792
69.5%
0 172
 
15.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct467
Distinct (%)74.6%
Missing513
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean76.101006
Minimum0
Maximum723.02
Zeros66
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-21T19:29:54.271738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median58
Q398.105
95-th percentile212.64
Maximum723.02
Range723.02
Interquartile range (IQR)65.105

Descriptive statistics

Standard deviation72.916626
Coefficient of variation (CV)0.95815587
Kurtosis18.985647
Mean76.101006
Median Absolute Deviation (MAD)30.98
Skewness3.0983029
Sum47639.23
Variance5316.8344
MonotonicityNot monotonic
2024-04-21T19:29:54.705853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 66
 
5.8%
33.0 8
 
0.7%
66.0 5
 
0.4%
57.6 4
 
0.4%
46.2 4
 
0.4%
49.5 4
 
0.4%
60.0 4
 
0.4%
36.0 3
 
0.3%
99.0 3
 
0.3%
114.0 3
 
0.3%
Other values (457) 522
45.8%
(Missing) 513
45.0%
ValueCountFrequency (%)
0.0 66
5.8%
1.0 1
 
0.1%
2.0 1
 
0.1%
5.56 1
 
0.1%
8.5 1
 
0.1%
10.23 1
 
0.1%
11.22 1
 
0.1%
11.5 1
 
0.1%
12.2 1
 
0.1%
12.25 1
 
0.1%
ValueCountFrequency (%)
723.02 1
0.1%
700.0 1
0.1%
361.38 1
0.1%
334.0 1
0.1%
329.12 1
0.1%
320.0 1
0.1%
304.5 1
0.1%
299.14 2
0.2%
295.0 1
0.1%
294.88 1
0.1%

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1139
Missing (%)100.0%
Memory size10.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
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23안경업01_02_01_P3290000PHMB21995329002408220000119950516<NA>4취소/말소/만료/정지/중지24직권폐업20100322<NA><NA><NA>051-805-3306<NA>614032부산광역시 부산진구 부전동 256번지 6호 14통부산광역시 부산진구 서면로 56 (부전동)<NA>제일안경콘택트20131021110309I2018-08-31 23:59:59.0<NA>387468.480136185990.346087111111111<NA><NA>
34안경업01_02_01_P3290000PHMB22015329002408220000620150731<NA>4취소/말소/만료/정지/중지24직권폐업20180105<NA><NA><NA>051-808-7088<NA>614080부산광역시 부산진구 초읍동 271번지 1호부산광역시 부산진구 새싹로 237, 102호 (초읍동, 창곡종합시장)47108피카소안경원20180104133737I2018-08-31 23:59:59.0<NA>386481.395166188372.0918811111111155.0<NA>
45안경업01_02_01_P3390000PHMB22010339002308220000120100224<NA>4취소/말소/만료/정지/중지24직권폐업20160701<NA><NA><NA><NA><NA>617060부산광역시 사상구 괘법동 546번지 1호 (105호)부산광역시 사상구 사상로 200 (괘법동)46968갤러리 안경20180404161948I2018-08-31 23:59:59.0<NA>380748.884274186669.236718111111111119.62<NA>
56안경업01_02_01_P3350000PHMB22018335002408220000120150731<NA>4취소/말소/만료/정지/중지24직권폐업20191016<NA><NA><NA>051-808-7088<NA><NA>부산광역시 금정구 장전동 651번지 12호 패밀리외과병원부산광역시 금정구 온천장로 136-1, 패밀리외과병원 1층 (장전동)46301패밀리룩(LOOK)안경원20191016100255U2019-10-18 02:40:00.0<NA>389817.647326193473.41186822111111150.74<NA>
67안경업01_02_01_P3340000PHMB22016334002508220000120160112<NA>4취소/말소/만료/정지/중지24직권폐업20190910<NA><NA><NA>051-264-2134<NA><NA>부산광역시 사하구 다대동 36번지부산광역시 사하구 다대로429번길 9, 1층 (다대동)49518지니스안경원20190910151902U2019-09-12 02:40:00.0<NA>380590.120985175688.173024111111111106.24<NA>
78안경업01_02_01_P3320000PHMB22017332004508220000120170303<NA>4취소/말소/만료/정지/중지24직권폐업20190213<NA><NA><NA><NA><NA><NA><NA>부산광역시 북구 덕천로276번길 5 (만덕동, 동원맨션)46611안경하우스20190213105621U2019-02-15 02:40:00.0<NA>385250.135062191889.10297111111111166.0<NA>
89안경업01_02_01_P3250000PHMB22010325002108220000120100312<NA>3폐업3폐업20120406<NA><NA><NA>070-4116-2770<NA>600042부산광역시 중구 남포동2가 24번지 8호부산광역시 중구 구덕로34번길 3-1 (남포동2가)<NA>아이샵(eye#)안경20121026092051I2018-08-31 23:59:59.0<NA>385208.616221179585.320651111111111134.98<NA>
910안경업01_02_01_P3250000PHMB21993325002108220000119930327<NA>3폐업3폐업20180814<NA><NA><NA>051-253-1216<NA>600819부산광역시 중구 창선동2가 24번지 4호부산광역시 중구 국제시장2길 6-1 (창선동2가)48946국전안경20180814102702I2018-08-31 23:59:59.0<NA>384903.524108179742.031633111111111<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
11291130안경업01_02_01_P3330000PHMB21988333002408220000119880401<NA>1영업/정상13영업중<NA><NA><NA><NA>543-7777<NA>612081부산광역시 해운대구 반송1동 250번지 477호부산광역시 해운대구 아랫반송로40번길 5-7 (반송동)<NA>아이플러스안경원20130620103824I2018-08-31 23:59:59.0<NA>395647.318995193723.713378111111111<NA><NA>
11301131안경업01_02_01_P3330000PHMB22009333002408220000820091012<NA>1영업/정상13영업중<NA><NA><NA><NA>701-3579<NA>612031부산광역시 해운대구 좌1동 395번지 3호 동우빌딩 1층부산광역시 해운대구 좌동로 104 (좌동,동우빌딩 1층)<NA>다비치안경20190215140531U2019-02-17 02:40:00.0<NA>398202.092657188114.588575111111111227.42<NA>
11311132안경업01_02_01_P3330000PHMB22008333002408220000720080430<NA>1영업/정상13영업중<NA><NA><NA><NA>543-6277<NA>612082부산광역시 해운대구 반송2동 40번지 1160호부산광역시 해운대구 반송로924번길 20 (반송동)<NA>크로바안경원20110922154631I2018-08-31 23:59:59.0<NA>396209.813911194626.75411811111111189.1<NA>
11321133안경업01_02_01_P3330000PHMB22001333002408220000120011204<NA>1영업/정상13영업중<NA><NA><NA><NA>543-2025<NA>612800부산광역시 해운대구 반송2동 62번지 450호부산광역시 해운대구 윗반송로 77 (반송동)<NA>이노티안경20091111154029I2018-08-31 23:59:59.0<NA>396318.990499194529.864217111111111<NA><NA>
11331134안경업01_02_01_P3330000PHMB22009333002408220000620090828<NA>1영업/정상13영업중<NA><NA><NA><NA>782-6000<NA>612062부산광역시 해운대구 반여2동 1291번지 201호부산광역시 해운대구 재반로 240 (반여동)<NA>SECOND FACE(세컨페이스)20171221141315I2018-08-31 23:59:59.0<NA>394047.328919190900.937133111111111115.5<NA>
11341135안경업01_02_01_P3330000PHMB22006333002408220000220060328<NA>1영업/정상13영업중<NA><NA><NA><NA>528-0770<NA>612060부산광역시 해운대구 반여동 1629번지 3호부산광역시 해운대구 반여로 100, 101-102호 (반여동, 경희빌딩)48036눈이랑 안경콘택트20150506142332I2018-08-31 23:59:59.0<NA>393314.100293191087.71062711111111188.92<NA>
11351136안경업01_02_01_P3330000PHMB22007333002408220000120071203<NA>1영업/정상13영업중<NA><NA><NA><NA>784-4042<NA>612729부산광역시 해운대구 우동 1433번지부산광역시 해운대구 마린시티1로 167, 116호 (우동, 현대까멜리아상가)48092비추미안경20200622154557U2020-06-24 02:40:00.0<NA>395812.483825186378.36755311111111168.93<NA>
11361137안경업01_02_01_P3330000PHMB21997333002408220000119970903<NA>1영업/정상13영업중<NA><NA><NA><NA>731-3900<NA><NA><NA>부산광역시 해운대구 구남로29번길 16 (중동)48095아이비젼안경원20160226163853I2018-08-31 23:59:59.0<NA>396895.429733186886.749218111111111<NA><NA>
11371138안경업01_02_01_P3330000PHMB22020333002408220000320200424<NA>1영업/정상13영업중<NA><NA><NA><NA>051-731-1536<NA><NA>부산광역시 해운대구 우동 539번지 10호 해운대 라뮤에뜨부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 226호 (우동)48094으뜸50안경 해운대역점20200427153754I2020-04-29 00:23:20.0<NA>396596.443478186999.88452711111111166.5<NA>
11381139안경업01_02_01_P3330000PHMB22020333002408220000420201207<NA>1영업/정상13영업중<NA><NA><NA><NA>051-900-5555<NA><NA>부산광역시 해운대구 우동 539-10 해운대 라뮤에뜨부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 1층 121호 (우동)48094오렌즈 해운대비치점20201208165741I2020-12-10 00:23:07.0<NA>396596.443478186999.8845271<NA><NA>11<NA><NA><NA><NA>48.3<NA>