Overview

Dataset statistics

Number of variables39
Number of observations1169
Missing cells10875
Missing cells (%)23.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory388.3 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2021-10-01
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 (63.8%)Imbalance
표본렌즈수 is highly imbalanced (58.9%)Imbalance
정점굴절계기수 is highly imbalanced (51.1%)Imbalance
조제용연마기수 is highly imbalanced (55.0%)Imbalance
렌즈절단기수 is highly imbalanced (56.8%)Imbalance
인허가취소일자 has 1169 (100.0%) missing valuesMissing
폐업일자 has 766 (65.5%) missing valuesMissing
휴업시작일자 has 1169 (100.0%) missing valuesMissing
휴업종료일자 has 1169 (100.0%) missing valuesMissing
재개업일자 has 1169 (100.0%) missing valuesMissing
소재지전화 has 176 (15.1%) missing valuesMissing
소재지면적 has 1169 (100.0%) missing valuesMissing
소재지우편번호 has 488 (41.7%) missing valuesMissing
소재지전체주소 has 100 (8.6%) missing valuesMissing
도로명전체주소 has 82 (7.0%) missing valuesMissing
도로명우편번호 has 256 (21.9%) missing valuesMissing
업태구분명 has 1169 (100.0%) missing valuesMissing
좌표정보(x) has 79 (6.8%) missing valuesMissing
좌표정보(y) has 79 (6.8%) missing valuesMissing
측정의자수 has 47 (4.0%) missing valuesMissing
가열기수 has 51 (4.4%) missing valuesMissing
안경세척기수 has 50 (4.3%) missing valuesMissing
총면적 has 513 (43.9%) missing valuesMissing
Unnamed: 38 has 1169 (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 186 (15.9%) zerosZeros
동공거리측정기수 has 175 (15.0%) zerosZeros
가열기수 has 187 (16.0%) zerosZeros
안경세척기수 has 186 (15.9%) zerosZeros
총면적 has 69 (5.9%) zerosZeros

Reproduction

Analysis started2024-04-21 10:36:04.675189
Analysis finished2024-04-21 10:36:06.218236
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean585
Minimum1
Maximum1169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:06.404120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.4
Q1293
median585
Q3877
95-th percentile1110.6
Maximum1169
Range1168
Interquartile range (IQR)584

Descriptive statistics

Standard deviation337.60554
Coefficient of variation (CV)0.57710349
Kurtosis-1.2
Mean585
Median Absolute Deviation (MAD)292
Skewness0
Sum683865
Variance113977.5
MonotonicityStrictly increasing
2024-04-21T19:36:06.841581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
769 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
783 1
 
0.1%
782 1
 
0.1%
781 1
 
0.1%
780 1
 
0.1%
779 1
 
0.1%
778 1
 
0.1%
Other values (1159) 1159
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 (%)
1169 1
0.1%
1168 1
0.1%
1167 1
0.1%
1166 1
0.1%
1165 1
0.1%
1164 1
0.1%
1163 1
0.1%
1162 1
0.1%
1161 1
0.1%
1160 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
안경업
1169 

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 1169
100.0%

Length

2024-04-21T19:36:07.256569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:07.545470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1169
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
01_02_01_P
1169 

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 1169
100.0%

Length

2024-04-21T19:36:07.847926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:08.139925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1169
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325089.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:08.417411image/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 deviation39800.611
Coefficient of variation (CV)0.011969785
Kurtosis-0.73748818
Mean3325089.8
Median Absolute Deviation (MAD)30000
Skewness-0.052003038
Sum3.88703 × 109
Variance1.5840887 × 109
MonotonicityNot monotonic
2024-04-21T19:36:08.799783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 176
15.1%
3290000 146
12.5%
3310000 115
9.8%
3330000 99
8.5%
3340000 92
7.9%
3300000 88
7.5%
3250000 79
6.8%
3390000 67
 
5.7%
3320000 64
 
5.5%
3370000 64
 
5.5%
Other values (6) 179
15.3%
ValueCountFrequency (%)
3250000 79
6.8%
3260000 22
 
1.9%
3270000 27
 
2.3%
3280000 27
 
2.3%
3290000 146
12.5%
3300000 88
7.5%
3310000 115
9.8%
3320000 64
5.5%
3330000 99
8.5%
3340000 92
7.9%
ValueCountFrequency (%)
3400000 34
 
2.9%
3390000 67
 
5.7%
3380000 52
 
4.4%
3370000 64
 
5.5%
3360000 17
 
1.5%
3350000 176
15.1%
3340000 92
7.9%
3330000 99
8.5%
3320000 64
 
5.5%
3310000 115
9.8%

관리번호
Text

UNIQUE 

Distinct1169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-04-21T19:36:09.530630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29225
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

Unique1169 ?
Unique (%)100.0%

Sample

1st rowPHMB220203330024082200004
2nd rowPHMB220213330024082200001
3rd rowPHMB220203330024082200003
4th rowPHMB219973330024082200001
5th rowPHMB220073330024082200001
ValueCountFrequency (%)
phmb220203330024082200004 1
 
0.1%
phmb220103330024082200005 1
 
0.1%
phmb220103400013082200004 1
 
0.1%
phmb220103400013082200005 1
 
0.1%
phmb220083400013082200001 1
 
0.1%
phmb220093400013082200001 1
 
0.1%
phmb219993400013082200001 1
 
0.1%
phmb220133400013082200004 1
 
0.1%
phmb220103400013082200003 1
 
0.1%
phmb220143400013082200002 1
 
0.1%
Other values (1159) 1159
99.1%
2024-04-21T19:36:10.648899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9555
32.7%
2 6247
21.4%
3 2559
 
8.8%
1 1610
 
5.5%
8 1505
 
5.1%
P 1169
 
4.0%
H 1169
 
4.0%
M 1169
 
4.0%
B 1169
 
4.0%
4 1044
 
3.6%
Other values (4) 2029
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24549
84.0%
Uppercase Letter 4676
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9555
38.9%
2 6247
25.4%
3 2559
 
10.4%
1 1610
 
6.6%
8 1505
 
6.1%
4 1044
 
4.3%
9 977
 
4.0%
5 590
 
2.4%
7 251
 
1.0%
6 211
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1169
25.0%
H 1169
25.0%
M 1169
25.0%
B 1169
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24549
84.0%
Latin 4676
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9555
38.9%
2 6247
25.4%
3 2559
 
10.4%
1 1610
 
6.6%
8 1505
 
6.1%
4 1044
 
4.3%
9 977
 
4.0%
5 590
 
2.4%
7 251
 
1.0%
6 211
 
0.9%
Latin
ValueCountFrequency (%)
P 1169
25.0%
H 1169
25.0%
M 1169
25.0%
B 1169
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9555
32.7%
2 6247
21.4%
3 2559
 
8.8%
1 1610
 
5.5%
8 1505
 
5.1%
P 1169
 
4.0%
H 1169
 
4.0%
M 1169
 
4.0%
B 1169
 
4.0%
4 1044
 
3.6%
Other values (4) 2029
 
6.9%

인허가일자
Real number (ℝ)

Distinct1071
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20039861
Minimum19710518
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:11.074404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850615
Q119960309
median20060106
Q320130521
95-th percentile20191075
Maximum20210831
Range500313
Interquartile range (IQR)170212

Descriptive statistics

Standard deviation109630.44
Coefficient of variation (CV)0.0054706187
Kurtosis-0.75594723
Mean20039861
Median Absolute Deviation (MAD)80716
Skewness-0.40623461
Sum2.3426598 × 1010
Variance1.2018833 × 1010
MonotonicityNot monotonic
2024-04-21T19:36:11.527774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910628 12
 
1.0%
19901119 5
 
0.4%
20000908 3
 
0.3%
20150731 3
 
0.3%
19910524 2
 
0.2%
19921031 2
 
0.2%
20140303 2
 
0.2%
20081016 2
 
0.2%
20030901 2
 
0.2%
19871223 2
 
0.2%
Other values (1061) 1134
97.0%
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 (%)
20210831 1
0.1%
20210824 1
0.1%
20210823 2
0.2%
20210813 1
0.1%
20210809 1
0.1%
20210803 1
0.1%
20210729 1
0.1%
20210728 1
0.1%
20210727 1
0.1%
20210726 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1169
Missing (%)100.0%
Memory size10.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
752 
3
409 
4
 
8

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 (%)
1 752
64.3%
3 409
35.0%
4 8
 
0.7%

Length

2024-04-21T19:36:11.936972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:12.244836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 752
64.3%
3 409
35.0%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
영업/정상
752 
폐업
409 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.011976
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 (%)
영업/정상 752
64.3%
폐업 409
35.0%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:36:12.596243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:12.920165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 752
64.3%
폐업 409
35.0%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
13
752 
3
409 
24
 
8

Length

Max length2
Median length2
Mean length1.6501283
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 752
64.3%
3 409
35.0%
24 8
 
0.7%

Length

2024-04-21T19:36:13.274087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:13.595315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 752
64.3%
3 409
35.0%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
영업중
752 
폐업
409 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6569718
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 752
64.3%
폐업 409
35.0%
직권폐업 8
 
0.7%

Length

2024-04-21T19:36:13.968504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:14.311703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 752
64.3%
폐업 409
35.0%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct371
Distinct (%)92.1%
Missing766
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean20103669
Minimum19851128
Maximum20210825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:14.659557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19922015
Q120080959
median20120404
Q320171070
95-th percentile20210324
Maximum20210825
Range359697
Interquartile range (IQR)90111

Descriptive statistics

Standard deviation86860.14
Coefficient of variation (CV)0.0043206114
Kurtosis-0.22714852
Mean20103669
Median Absolute Deviation (MAD)50426
Skewness-0.87451184
Sum8.1017784 × 109
Variance7.5446839 × 109
MonotonicityNot monotonic
2024-04-21T19:36:15.110951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20111130 2
 
0.2%
19980512 2
 
0.2%
20140602 2
 
0.2%
19990205 2
 
0.2%
19990421 2
 
0.2%
20110418 2
 
0.2%
20210623 2
 
0.2%
20110131 2
 
0.2%
20150708 2
 
0.2%
Other values (361) 382
32.7%
(Missing) 766
65.5%
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 (%)
20210825 1
0.1%
20210820 1
0.1%
20210729 1
0.1%
20210726 1
0.1%
20210712 2
0.2%
20210701 1
0.1%
20210630 1
0.1%
20210625 1
0.1%
20210623 2
0.2%
20210531 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1169
Missing (%)100.0%
Memory size10.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1169
Missing (%)100.0%
Memory size10.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1169
Missing (%)100.0%
Memory size10.4 KiB

소재지전화
Text

MISSING 

Distinct939
Distinct (%)94.6%
Missing176
Missing (%)15.1%
Memory size9.3 KiB
2024-04-21T19:36:16.221691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.293051
Min length7

Characters and Unicode

Total characters11214
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

Unique893 ?
Unique (%)89.9%

Sample

1st row051-900-5555
2nd row051-731-1536
3rd row731-3900
4th row784-4042
5th row528-0770
ValueCountFrequency (%)
051-808-7088 4
 
0.4%
261-6700 3
 
0.3%
051-816-4500 3
 
0.3%
051-647-5766 3
 
0.3%
051-337-7111 3
 
0.3%
051-623-7778 3
 
0.3%
051-625-8471 3
 
0.3%
051-465-2120 2
 
0.2%
051-315-5111 2
 
0.2%
051-759-9881 2
 
0.2%
Other values (929) 965
97.2%
2024-04-21T19:36:17.551231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1749
15.6%
0 1706
15.2%
5 1565
14.0%
1 1554
13.9%
2 840
7.5%
8 698
 
6.2%
6 690
 
6.2%
7 685
 
6.1%
3 685
 
6.1%
4 618
 
5.5%
Other values (4) 424
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9422
84.0%
Dash Punctuation 1749
 
15.6%
Close Punctuation 39
 
0.3%
Math Symbol 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1706
18.1%
5 1565
16.6%
1 1554
16.5%
2 840
8.9%
8 698
7.4%
6 690
7.3%
7 685
7.3%
3 685
7.3%
4 618
 
6.6%
9 381
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1749
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 11214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1749
15.6%
0 1706
15.2%
5 1565
14.0%
1 1554
13.9%
2 840
7.5%
8 698
 
6.2%
6 690
 
6.2%
7 685
 
6.1%
3 685
 
6.1%
4 618
 
5.5%
Other values (4) 424
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1749
15.6%
0 1706
15.2%
5 1565
14.0%
1 1554
13.9%
2 840
7.5%
8 698
 
6.2%
6 690
 
6.2%
7 685
 
6.1%
3 685
 
6.1%
4 618
 
5.5%
Other values (4) 424
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1169
Missing (%)100.0%
Memory size10.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)49.9%
Missing488
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean608167.15
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:17.946494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48272
5-th percentile601812
Q1607831
median609839
Q3614043
95-th percentile617800
Maximum619963
Range571691
Interquartile range (IQR)6212

Descriptive statistics

Standard deviation37535.941
Coefficient of variation (CV)0.061719777
Kurtosis216.79899
Mean608167.15
Median Absolute Deviation (MAD)3968
Skewness-14.655854
Sum4.1416183 × 108
Variance1.4089468 × 109
MonotonicityNot monotonic
2024-04-21T19:36:18.358783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 33
 
2.8%
609834 8
 
0.7%
614845 8
 
0.7%
609822 7
 
0.6%
609800 7
 
0.6%
608805 7
 
0.6%
616852 7
 
0.6%
611089 7
 
0.6%
614030 7
 
0.6%
604851 6
 
0.5%
Other values (330) 584
50.0%
(Missing) 488
41.7%
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
0.3%
618814 2
 
0.2%
618807 1
 
0.1%
617846 2
 
0.2%
617833 1
 
0.1%
617830 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1018
Distinct (%)95.2%
Missing100
Missing (%)8.6%
Memory size9.3 KiB
2024-04-21T19:36:19.736757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.188026
Min length3

Characters and Unicode

Total characters25857
Distinct characters308
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

Unique973 ?
Unique (%)91.0%

Sample

1st row부산광역시 해운대구 우동 539-10 해운대 라뮤에뜨
2nd row부산광역시 해운대구 반여동 1629-3 경희빌딩
3rd row부산광역시 해운대구 우동 539번지 10호 해운대 라뮤에뜨
4th row부산광역시 해운대구 중동 1378-18
5th row부산광역시 해운대구 반여동 1629번지 3호
ValueCountFrequency (%)
부산광역시 1040
 
19.2%
금정구 170
 
3.1%
부산진구 141
 
2.6%
1호 123
 
2.3%
남구 106
 
2.0%
사하구 85
 
1.6%
동래구 79
 
1.5%
중구 75
 
1.4%
해운대구 69
 
1.3%
1층 68
 
1.3%
Other values (1378) 3459
63.9%
2024-04-21T19:36:21.551988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4361
 
16.9%
1 1389
 
5.4%
부 1344
 
5.2%
산 1282
 
5.0%
동 1189
 
4.6%
시 1082
 
4.2%
구 1074
 
4.2%
광 1070
 
4.1%
역 1043
 
4.0%
2 910
 
3.5%
Other values (298) 11113
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15381
59.5%
Decimal Number 5664
 
21.9%
Space Separator 4361
 
16.9%
Dash Punctuation 276
 
1.1%
Uppercase Letter 63
 
0.2%
Other Punctuation 46
 
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 1344
 
8.7%
산 1282
 
8.3%
동 1189
 
7.7%
시 1082
 
7.0%
구 1074
 
7.0%
광 1070
 
7.0%
역 1043
 
6.8%
지 835
 
5.4%
호 797
 
5.2%
번 784
 
5.1%
Other values (264) 4881
31.7%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
K 10
15.9%
B 7
11.1%
A 6
9.5%
E 5
7.9%
H 5
7.9%
C 5
7.9%
Y 4
 
6.3%
U 4
 
6.3%
G 2
 
3.2%
Other values (3) 4
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 1389
24.5%
2 910
16.1%
3 636
11.2%
4 543
 
9.6%
5 468
 
8.3%
0 396
 
7.0%
6 361
 
6.4%
7 340
 
6.0%
8 319
 
5.6%
9 302
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 38
82.6%
. 5
 
10.9%
@ 2
 
4.3%
/ 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
4361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 276
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 15381
59.5%
Common 10411
40.3%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1344
 
8.7%
산 1282
 
8.3%
동 1189
 
7.7%
시 1082
 
7.0%
구 1074
 
7.0%
광 1070
 
7.0%
역 1043
 
6.8%
지 835
 
5.4%
호 797
 
5.2%
번 784
 
5.1%
Other values (264) 4881
31.7%
Common
ValueCountFrequency (%)
4361
41.9%
1 1389
 
13.3%
2 910
 
8.7%
3 636
 
6.1%
4 543
 
5.2%
5 468
 
4.5%
0 396
 
3.8%
6 361
 
3.5%
7 340
 
3.3%
8 319
 
3.1%
Other values (9) 688
 
6.6%
Latin
ValueCountFrequency (%)
S 11
16.9%
K 10
15.4%
B 7
10.8%
A 6
9.2%
E 5
7.7%
H 5
7.7%
C 5
7.7%
Y 4
 
6.2%
U 4
 
6.2%
G 2
 
3.1%
Other values (5) 6
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15381
59.5%
ASCII 10476
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4361
41.6%
1 1389
 
13.3%
2 910
 
8.7%
3 636
 
6.1%
4 543
 
5.2%
5 468
 
4.5%
0 396
 
3.8%
6 361
 
3.4%
7 340
 
3.2%
8 319
 
3.0%
Other values (24) 753
 
7.2%
Hangul
ValueCountFrequency (%)
부 1344
 
8.7%
산 1282
 
8.3%
동 1189
 
7.7%
시 1082
 
7.0%
구 1074
 
7.0%
광 1070
 
7.0%
역 1043
 
6.8%
지 835
 
5.4%
호 797
 
5.2%
번 784
 
5.1%
Other values (264) 4881
31.7%

도로명전체주소
Text

MISSING 

Distinct1012
Distinct (%)93.1%
Missing82
Missing (%)7.0%
Memory size9.3 KiB
2024-04-21T19:36:22.818435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length28.016559
Min length20

Characters and Unicode

Total characters30454
Distinct characters350
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

Unique951 ?
Unique (%)87.5%

Sample

1st row부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 1층 121호 (우동)
2nd row부산광역시 해운대구 반여로 100, 경희빌딩 101,102호 (반여동)
3rd row부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 226호 (우동)
4th row부산광역시 해운대구 구남로29번길 16 (중동)
5th row부산광역시 해운대구 중동2로 16, 1층 (중동)
ValueCountFrequency (%)
부산광역시 1088
 
17.8%
1층 165
 
2.7%
금정구 154
 
2.5%
부산진구 140
 
2.3%
해운대구 98
 
1.6%
남구 92
 
1.5%
사하구 88
 
1.4%
동래구 87
 
1.4%
중구 75
 
1.2%
부전동 70
 
1.1%
Other values (1342) 4055
66.3%
2024-04-21T19:36:24.495965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5029
 
16.5%
부 1383
 
4.5%
동 1376
 
4.5%
산 1330
 
4.4%
시 1170
 
3.8%
광 1169
 
3.8%
구 1121
 
3.7%
역 1090
 
3.6%
1 1077
 
3.5%
( 1074
 
3.5%
Other values (340) 14635
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18213
59.8%
Space Separator 5029
 
16.5%
Decimal Number 4289
 
14.1%
Open Punctuation 1074
 
3.5%
Close Punctuation 1074
 
3.5%
Other Punctuation 529
 
1.7%
Dash Punctuation 163
 
0.5%
Uppercase Letter 71
 
0.2%
Math Symbol 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1383
 
7.6%
동 1376
 
7.6%
산 1330
 
7.3%
시 1170
 
6.4%
광 1169
 
6.4%
구 1121
 
6.2%
역 1090
 
6.0%
로 1070
 
5.9%
대 576
 
3.2%
정 262
 
1.4%
Other values (305) 7666
42.1%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.7%
K 12
16.9%
B 11
15.5%
A 5
 
7.0%
C 5
 
7.0%
H 5
 
7.0%
G 4
 
5.6%
Y 4
 
5.6%
U 4
 
5.6%
E 3
 
4.2%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1077
25.1%
2 654
15.2%
3 403
 
9.4%
0 375
 
8.7%
4 363
 
8.5%
7 317
 
7.4%
5 316
 
7.4%
6 296
 
6.9%
9 249
 
5.8%
8 239
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
b 1
20.0%
h 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 525
99.2%
. 4
 
0.8%
Space Separator
ValueCountFrequency (%)
5029
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1074
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1074
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18213
59.8%
Common 12165
39.9%
Latin 76
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1383
 
7.6%
동 1376
 
7.6%
산 1330
 
7.3%
시 1170
 
6.4%
광 1169
 
6.4%
구 1121
 
6.2%
역 1090
 
6.0%
로 1070
 
5.9%
대 576
 
3.2%
정 262
 
1.4%
Other values (305) 7666
42.1%
Latin
ValueCountFrequency (%)
S 14
18.4%
K 12
15.8%
B 11
14.5%
A 5
 
6.6%
C 5
 
6.6%
H 5
 
6.6%
G 4
 
5.3%
Y 4
 
5.3%
U 4
 
5.3%
E 3
 
3.9%
Other values (8) 9
11.8%
Common
ValueCountFrequency (%)
5029
41.3%
1 1077
 
8.9%
( 1074
 
8.8%
) 1074
 
8.8%
2 654
 
5.4%
, 525
 
4.3%
3 403
 
3.3%
0 375
 
3.1%
4 363
 
3.0%
7 317
 
2.6%
Other values (7) 1274
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18213
59.8%
ASCII 12241
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5029
41.1%
1 1077
 
8.8%
( 1074
 
8.8%
) 1074
 
8.8%
2 654
 
5.3%
, 525
 
4.3%
3 403
 
3.3%
0 375
 
3.1%
4 363
 
3.0%
7 317
 
2.6%
Other values (25) 1350
 
11.0%
Hangul
ValueCountFrequency (%)
부 1383
 
7.6%
동 1376
 
7.6%
산 1330
 
7.3%
시 1170
 
6.4%
광 1169
 
6.4%
구 1121
 
6.2%
역 1090
 
6.0%
로 1070
 
5.9%
대 576
 
3.2%
정 262
 
1.4%
Other values (305) 7666
42.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct535
Distinct (%)58.6%
Missing256
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean83669.519
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:24.891063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147132
median47861
Q348945
95-th percentile608805
Maximum619963
Range573959
Interquartile range (IQR)1813

Descriptive statistics

Standard deviation137770.59
Coefficient of variation (CV)1.6466043
Kurtosis10.879164
Mean83669.519
Median Absolute Deviation (MAD)863
Skewness3.5851203
Sum76390271
Variance1.8980735 × 1010
MonotonicityNot monotonic
2024-04-21T19:36:25.305621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48946 21
 
1.8%
48953 13
 
1.1%
46291 11
 
0.9%
48945 10
 
0.9%
47295 9
 
0.8%
46576 8
 
0.7%
47296 8
 
0.7%
47254 7
 
0.6%
47289 7
 
0.6%
46726 7
 
0.6%
Other values (525) 812
69.5%
(Missing) 256
 
21.9%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 2
 
0.2%
46010 1
 
0.1%
46015 5
0.4%
46017 1
 
0.1%
46029 1
 
0.1%
46048 2
 
0.2%
46055 1
 
0.1%
46056 2
 
0.2%
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

Distinct920
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-04-21T19:36:26.231307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.7656116
Min length2

Characters and Unicode

Total characters7909
Distinct characters412
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

Unique803 ?
Unique (%)68.7%

Sample

1st row오렌즈 해운대비치점
2nd row눈이랑안경
3rd row으뜸50안경 해운대역점
4th row아이비젼안경원
5th row비추미안경 렌즈미
ValueCountFrequency (%)
안경원 66
 
4.5%
안경 45
 
3.1%
갤러리안경 30
 
2.0%
안경나라 22
 
1.5%
눈사랑안경 18
 
1.2%
초이스안경 13
 
0.9%
갤러리안경원 13
 
0.9%
오렌즈 12
 
0.8%
세컨페이스 11
 
0.8%
제일안경원 11
 
0.8%
Other values (917) 1224
83.5%
2024-04-21T19:36:27.627736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1063
 
13.4%
경 1061
 
13.4%
원 402
 
5.1%
296
 
3.7%
점 271
 
3.4%
이 262
 
3.3%
아 208
 
2.6%
스 184
 
2.3%
리 126
 
1.6%
0 91
 
1.2%
Other values (402) 3945
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7144
90.3%
Space Separator 296
 
3.7%
Decimal Number 182
 
2.3%
Uppercase Letter 85
 
1.1%
Lowercase Letter 60
 
0.8%
Open Punctuation 57
 
0.7%
Close Punctuation 57
 
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 1063
 
14.9%
경 1061
 
14.9%
원 402
 
5.6%
점 271
 
3.8%
이 262
 
3.7%
아 208
 
2.9%
스 184
 
2.6%
리 126
 
1.8%
트 86
 
1.2%
비 80
 
1.1%
Other values (344) 3401
47.6%
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%
I 4
 
4.7%
N 4
 
4.7%
C 4
 
4.7%
M 4
 
4.7%
Other values (12) 25
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
11.7%
a 6
10.0%
i 6
10.0%
o 6
10.0%
c 6
10.0%
t 5
8.3%
n 5
8.3%
l 4
 
6.7%
p 3
 
5.0%
s 2
 
3.3%
Other values (8) 10
16.7%
Decimal Number
ValueCountFrequency (%)
0 91
50.0%
1 43
23.6%
8 23
 
12.6%
5 17
 
9.3%
2 4
 
2.2%
3 3
 
1.6%
6 1
 
0.5%
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 (%)
296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7144
90.3%
Common 619
 
7.8%
Latin 145
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1063
 
14.9%
경 1061
 
14.9%
원 402
 
5.6%
점 271
 
3.8%
이 262
 
3.7%
아 208
 
2.9%
스 184
 
2.6%
리 126
 
1.8%
트 86
 
1.2%
비 80
 
1.1%
Other values (344) 3401
47.6%
Latin
ValueCountFrequency (%)
O 13
 
9.0%
E 8
 
5.5%
e 7
 
4.8%
S 7
 
4.8%
a 6
 
4.1%
i 6
 
4.1%
o 6
 
4.1%
c 6
 
4.1%
L 6
 
4.1%
t 5
 
3.4%
Other values (30) 75
51.7%
Common
ValueCountFrequency (%)
296
47.8%
0 91
 
14.7%
( 57
 
9.2%
) 57
 
9.2%
1 43
 
6.9%
8 23
 
3.7%
5 17
 
2.7%
. 13
 
2.1%
2 4
 
0.6%
· 4
 
0.6%
Other values (7) 14
 
2.3%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7143
90.3%
ASCII 759
 
9.6%
None 5
 
0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1063
 
14.9%
경 1061
 
14.9%
원 402
 
5.6%
점 271
 
3.8%
이 262
 
3.7%
아 208
 
2.9%
스 184
 
2.6%
리 126
 
1.8%
트 86
 
1.2%
비 80
 
1.1%
Other values (343) 3400
47.6%
ASCII
ValueCountFrequency (%)
296
39.0%
0 91
 
12.0%
( 57
 
7.5%
) 57
 
7.5%
1 43
 
5.7%
8 23
 
3.0%
5 17
 
2.2%
O 13
 
1.7%
. 13
 
1.7%
E 8
 
1.1%
Other values (45) 141
18.6%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1143
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148681 × 1013
Minimum2.008112 × 1013
Maximum2.0210831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:28.046614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.012032 × 1013
median2.0150327 × 1013
Q32.0180913 × 1013
95-th percentile2.0210406 × 1013
Maximum2.0210831 × 1013
Range1.2971097 × 1011
Interquartile range (IQR)6.0592977 × 1010

Descriptive statistics

Standard deviation3.8627654 × 1010
Coefficient of variation (CV)0.0019171306
Kurtosis-1.1316125
Mean2.0148681 × 1013
Median Absolute Deviation (MAD)3.0111974 × 1010
Skewness-0.020814873
Sum2.3553808 × 1016
Variance1.4920956 × 1021
MonotonicityNot monotonic
2024-04-21T19:36:28.513901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183150 18
 
1.5%
20081215160833 6
 
0.5%
20081215160832 4
 
0.3%
20081201183151 2
 
0.2%
20210825125858 1
 
0.1%
20210528123513 1
 
0.1%
20100427150645 1
 
0.1%
20111102180815 1
 
0.1%
20101223144341 1
 
0.1%
20150813135158 1
 
0.1%
Other values (1133) 1133
96.9%
ValueCountFrequency (%)
20081120141639 1
 
0.1%
20081126140756 1
 
0.1%
20081126141153 1
 
0.1%
20081201183150 18
1.5%
20081201183151 2
 
0.2%
20081206110426 1
 
0.1%
20081215160831 1
 
0.1%
20081215160832 4
 
0.3%
20081215160833 6
 
0.5%
20081226155323 1
 
0.1%
ValueCountFrequency (%)
20210831115932 1
0.1%
20210826165720 1
0.1%
20210825193731 1
0.1%
20210825151554 1
0.1%
20210825151535 1
0.1%
20210825125858 1
0.1%
20210824085923 1
0.1%
20210824085853 1
0.1%
20210823085622 1
0.1%
20210820162255 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
I
936 
U
233 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 936
80.1%
U 233
 
19.9%

Length

2024-04-21T19:36:28.931684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:29.229477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 936
80.1%
u 233
 
19.9%

데이터갱신일자
Date

Distinct257
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-09-02 00:22:59
2024-04-21T19:36:29.556053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:36:29.964010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1169
Missing (%)100.0%
Memory size10.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct936
Distinct (%)85.9%
Missing79
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean388104.39
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:30.358263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379714.57
Q1384883.11
median388598.56
Q3391258.9
95-th percentile397378.22
Maximum403236.19
Range36128.006
Interquartile range (IQR)6375.7872

Descriptive statistics

Standard deviation5236.1095
Coefficient of variation (CV)0.013491498
Kurtosis0.45645635
Mean388104.39
Median Absolute Deviation (MAD)3213.443
Skewness-0.023452503
Sum4.2303379 × 108
Variance27416843
MonotonicityNot monotonic
2024-04-21T19:36:30.801518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387618.822819234 8
 
0.7%
387271.299492377 7
 
0.6%
389314.662085919 5
 
0.4%
389097.800933845 5
 
0.4%
389816.233000769 5
 
0.4%
387920.292112964 5
 
0.4%
385590.814676765 4
 
0.3%
384874.515689472 4
 
0.3%
393952.264486105 4
 
0.3%
395388.715069604 4
 
0.3%
Other values (926) 1039
88.9%
(Missing) 79
 
6.8%
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%
373735.179018815 1
0.1%
374846.363500608 1
0.1%
ValueCountFrequency (%)
403236.192851 1
 
0.1%
402168.434114938 3
0.3%
401739.342184973 1
 
0.1%
401727.549967414 1
 
0.1%
401724.508448107 1
 
0.1%
401723.705169194 1
 
0.1%
401721.440535713 1
 
0.1%
401712.115666 1
 
0.1%
401709.206084507 1
 
0.1%
401700.977668733 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct937
Distinct (%)86.0%
Missing79
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean187340.44
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:31.209939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178664.46
Q1183605.6
median187069.33
Q3191825.83
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8220.2277

Descriptive statistics

Standard deviation5856.5409
Coefficient of variation (CV)0.031261488
Kurtosis-0.1543261
Mean187340.44
Median Absolute Deviation (MAD)4358.2146
Skewness0.18869586
Sum2.0420108 × 108
Variance34299071
MonotonicityNot monotonic
2024-04-21T19:36:31.638562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.478853367 8
 
0.7%
186099.137533193 7
 
0.6%
194669.898821687 5
 
0.4%
192260.811648263 5
 
0.4%
193329.605871168 5
 
0.4%
186157.316240551 5
 
0.4%
179553.867031936 4
 
0.3%
179978.235223733 4
 
0.3%
187602.933160728 4
 
0.3%
186268.853282623 4
 
0.3%
Other values (927) 1039
88.9%
(Missing) 79
 
6.8%
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 size9.3 KiB
1
956 
0
173 
2
 
33
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0128315
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 956
81.8%
0 173
 
14.8%
2 33
 
2.8%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:36:32.077052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:32.412635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 956
81.8%
0 173
 
14.8%
2 33
 
2.8%
na 5
 
0.4%
3 2
 
0.2%

표본렌즈수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
905 
0
185 
<NA>
 
39
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.1017964
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 905
77.4%
0 185
 
15.8%
<NA> 39
 
3.3%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:36:32.615626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:32.805270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
77.4%
0 185
 
15.8%
na 39
 
3.3%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing47
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean0.90017825
Minimum0
Maximum11
Zeros186
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:32.981582image/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 deviation0.57978122
Coefficient of variation (CV)0.64407379
Kurtosis86.107629
Mean0.90017825
Median Absolute Deviation (MAD)0
Skewness5.2638527
Sum1010
Variance0.33614627
MonotonicityNot monotonic
2024-04-21T19:36:33.159601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
75.6%
0 186
 
15.9%
2 43
 
3.7%
3 4
 
0.3%
4 3
 
0.3%
5 1
 
0.1%
11 1
 
0.1%
(Missing) 47
 
4.0%
ValueCountFrequency (%)
0 186
 
15.9%
1 884
75.6%
2 43
 
3.7%
3 4
 
0.3%
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
 
0.3%
2 43
 
3.7%
1 884
75.6%
0 186
 
15.9%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.9209622
Minimum0
Maximum10
Zeros175
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:33.344265image/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 deviation0.59716191
Coefficient of variation (CV)0.64841087
Kurtosis56.442961
Mean0.9209622
Median Absolute Deviation (MAD)0
Skewness4.6146967
Sum1072
Variance0.35660234
MonotonicityNot monotonic
2024-04-21T19:36:33.528053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 942
80.6%
0 175
 
15.0%
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 (%)
0 175
 
15.0%
1 942
80.6%
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%
1 942
80.6%
0 175
 
15.0%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
852 
0
173 
2
103 
3
 
27
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0179641
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 852
72.9%
0 173
 
14.8%
2 103
 
8.8%
3 27
 
2.3%
<NA> 7
 
0.6%
4 7
 
0.6%

Length

2024-04-21T19:36:33.744396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:34.207543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 852
72.9%
0 173
 
14.8%
2 103
 
8.8%
3 27
 
2.3%
na 7
 
0.6%
4 7
 
0.6%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
902 
0
188 
<NA>
 
51
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1308811
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 902
77.2%
0 188
 
16.1%
<NA> 51
 
4.4%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:36:34.592489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:34.921057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 902
77.2%
0 188
 
16.1%
na 51
 
4.4%
2 27
 
2.3%
3 1
 
0.1%

렌즈절단기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
911 
0
189 
<NA>
 
49
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1257485
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 911
77.9%
0 189
 
16.2%
<NA> 49
 
4.2%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:36:35.292840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:36:35.620862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
77.9%
0 189
 
16.2%
na 49
 
4.2%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing51
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean0.9490161
Minimum0
Maximum5
Zeros187
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:35.927858image/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 deviation0.56935617
Coefficient of variation (CV)0.59994363
Kurtosis6.0662376
Mean0.9490161
Median Absolute Deviation (MAD)0
Skewness0.95500031
Sum1061
Variance0.32416644
MonotonicityNot monotonic
2024-04-21T19:36:36.263307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
70.0%
0 187
 
16.0%
2 101
 
8.6%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 51
 
4.4%
ValueCountFrequency (%)
0 187
 
16.0%
1 818
70.0%
2 101
 
8.6%
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
 
8.6%
1 818
70.0%
0 187
 
16.0%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing50
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean0.98302055
Minimum0
Maximum5
Zeros186
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:36.585351image/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 deviation0.60902382
Coefficient of variation (CV)0.61954332
Kurtosis3.7998328
Mean0.98302055
Median Absolute Deviation (MAD)0
Skewness0.88905633
Sum1100
Variance0.37091001
MonotonicityNot monotonic
2024-04-21T19:36:36.922340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
67.8%
0 186
 
15.9%
2 119
 
10.2%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 50
 
4.3%
ValueCountFrequency (%)
0 186
 
15.9%
1 792
67.8%
2 119
 
10.2%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 2
 
0.2%
3 19
 
1.6%
2 119
 
10.2%
1 792
67.8%
0 186
 
15.9%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct491
Distinct (%)74.8%
Missing513
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean76.747363
Minimum0
Maximum723.02
Zeros69
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-04-21T19:36:37.287018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median59.64
Q399
95-th percentile211.92
Maximum723.02
Range723.02
Interquartile range (IQR)66

Descriptive statistics

Standard deviation72.850671
Coefficient of variation (CV)0.94922703
Kurtosis18.235123
Mean76.747363
Median Absolute Deviation (MAD)31.65
Skewness3.0206371
Sum50346.27
Variance5307.2203
MonotonicityNot monotonic
2024-04-21T19:36:37.721946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
 
5.9%
33.0 9
 
0.8%
66.0 5
 
0.4%
57.6 4
 
0.3%
60.0 4
 
0.3%
49.5 4
 
0.3%
56.0 4
 
0.3%
46.2 4
 
0.3%
29.7 3
 
0.3%
45.0 3
 
0.3%
Other values (481) 547
46.8%
(Missing) 513
43.9%
ValueCountFrequency (%)
0.0 69
5.9%
1.0 1
 
0.1%
2.0 1
 
0.1%
5.56 1
 
0.1%
5.61 1
 
0.1%
7.5 1
 
0.1%
8.5 1
 
0.1%
10.23 1
 
0.1%
11.5 1
 
0.1%
12.2 1
 
0.1%
ValueCountFrequency (%)
723.02 1
0.1%
700.0 1
0.1%
361.38 1
0.1%
336.9 1
0.1%
334.0 1
0.1%
329.12 1
0.1%
320.0 1
0.1%
304.5 1
0.1%
304.12 1
0.1%
299.14 1
0.1%

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1169
Missing (%)100.0%
Memory size10.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
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12안경업01_02_01_P3330000PHMB22021333002408220000120210504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1629-3 경희빌딩부산광역시 해운대구 반여로 100, 경희빌딩 101,102호 (반여동)48036눈이랑안경20210506125651I2021-05-08 00:22:56.0<NA>393314.100293191087.7106271<NA><NA>11<NA><NA><NA><NA>88.92<NA>
23안경업01_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>
34안경업01_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>
45안경업01_02_01_P3330000PHMB22007333002408220000120071203<NA>1영업/정상13영업중<NA><NA><NA><NA>784-4042<NA><NA>부산광역시 해운대구 중동 1378-18부산광역시 해운대구 중동2로 16, 1층 (중동)48096비추미안경 렌즈미20210825193731U2021-08-27 02:40:00.0<NA>397143.069558187060.384178211121111165.28<NA>
56안경업01_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>
67안경업01_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>
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89안경업01_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>
910안경업01_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
11591160안경업01_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>
11601161안경업01_02_01_P3250000PHMB22018325002108220000120180814<NA>3폐업3폐업20210726<NA><NA><NA>2531216<NA><NA>부산광역시 중구 창선동2가 24번지 4호부산광역시 중구 국제시장2길 6-1 (창선동2가)48946국전안경20210726152758U2021-07-28 02:40:00.0<NA>384903.524108179742.03163311111111193.22<NA>
11611162안경업01_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>
11621163안경업01_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>
11631164안경업01_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>
11641165안경업01_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>
11651166안경업01_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>
11661167안경업01_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>
11671168안경업01_02_01_P3370000PHMB22012337002208220000220121213<NA>4취소/말소/만료/정지/중지24직권폐업20190114<NA><NA><NA>051-868-7488<NA>611800부산광역시 연제구 거제1동 2번지 60호부산광역시 연제구 거제천로 191 (거제동)47522산타클로스안경20190111150127U2019-01-13 02:40:00.0<NA>389268.286625189861.16137711113112297.37<NA>
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