Overview

Dataset statistics

Number of variables39
Number of observations1186
Missing cells11021
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory393.9 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2022-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123010

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
시력표수 is highly imbalanced (63.9%)Imbalance
표본렌즈수 is highly imbalanced (58.2%)Imbalance
정점굴절계기수 is highly imbalanced (51.1%)Imbalance
조제용연마기수 is highly imbalanced (54.3%)Imbalance
렌즈절단기수 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 1186 (100.0%) missing valuesMissing
폐업일자 has 781 (65.9%) missing valuesMissing
휴업시작일자 has 1186 (100.0%) missing valuesMissing
휴업종료일자 has 1186 (100.0%) missing valuesMissing
재개업일자 has 1186 (100.0%) missing valuesMissing
소재지전화 has 180 (15.2%) missing valuesMissing
소재지면적 has 1186 (100.0%) missing valuesMissing
소재지우편번호 has 508 (42.8%) missing valuesMissing
소재지전체주소 has 103 (8.7%) missing valuesMissing
도로명전체주소 has 82 (6.9%) missing valuesMissing
도로명우편번호 has 256 (21.6%) missing valuesMissing
업태구분명 has 1186 (100.0%) missing valuesMissing
좌표정보(x) has 81 (6.8%) missing valuesMissing
좌표정보(y) has 81 (6.8%) missing valuesMissing
측정의자수 has 44 (3.7%) missing valuesMissing
가열기수 has 48 (4.0%) missing valuesMissing
안경세척기수 has 47 (4.0%) missing valuesMissing
총면적 has 503 (42.4%) missing valuesMissing
Unnamed: 38 has 1186 (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 206 (17.4%) zerosZeros
동공거리측정기수 has 174 (14.7%) zerosZeros
가열기수 has 207 (17.5%) zerosZeros
안경세척기수 has 206 (17.4%) zerosZeros
총면적 has 76 (6.4%) zerosZeros

Reproduction

Analysis started2024-04-21 10:24:55.409008
Analysis finished2024-04-21 10:24:57.058507
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.5
Minimum1
Maximum1186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:24:57.245973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.25
Q1297.25
median593.5
Q3889.75
95-th percentile1126.75
Maximum1186
Range1185
Interquartile range (IQR)592.5

Descriptive statistics

Standard deviation342.51302
Coefficient of variation (CV)0.57710702
Kurtosis-1.2
Mean593.5
Median Absolute Deviation (MAD)296.5
Skewness0
Sum703891
Variance117315.17
MonotonicityStrictly increasing
2024-04-21T19:24:57.685148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
798 1
 
0.1%
796 1
 
0.1%
795 1
 
0.1%
794 1
 
0.1%
793 1
 
0.1%
792 1
 
0.1%
791 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
Other values (1176) 1176
99.2%
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 (%)
1186 1
0.1%
1185 1
0.1%
1184 1
0.1%
1183 1
0.1%
1182 1
0.1%
1181 1
0.1%
1180 1
0.1%
1179 1
0.1%
1178 1
0.1%
1177 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
안경업
1186 

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 1186
100.0%

Length

2024-04-21T19:24:58.097463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:58.393760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1186
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
01_02_01_P
1186 

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 1186
100.0%

Length

2024-04-21T19:24:58.700637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:58.992692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1186
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325025.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:24:59.275792image/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 deviation39968.862
Coefficient of variation (CV)0.012020619
Kurtosis-0.74928556
Mean3325025.3
Median Absolute Deviation (MAD)30000
Skewness-0.050862287
Sum3.94348 × 109
Variance1.5975099 × 109
MonotonicityIncreasing
2024-04-21T19:24:59.662940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 176
14.8%
3290000 147
12.4%
3310000 115
9.7%
3330000 100
8.4%
3340000 93
7.8%
3300000 90
7.6%
3250000 81
6.8%
3390000 69
 
5.8%
3320000 65
 
5.5%
3370000 65
 
5.5%
Other values (6) 185
15.6%
ValueCountFrequency (%)
3250000 81
6.8%
3260000 23
 
1.9%
3270000 29
 
2.4%
3280000 27
 
2.3%
3290000 147
12.4%
3300000 90
7.6%
3310000 115
9.7%
3320000 65
5.5%
3330000 100
8.4%
3340000 93
7.8%
ValueCountFrequency (%)
3400000 35
 
3.0%
3390000 69
 
5.8%
3380000 52
 
4.4%
3370000 65
 
5.5%
3360000 19
 
1.6%
3350000 176
14.8%
3340000 93
7.8%
3330000 100
8.4%
3320000 65
 
5.5%
3310000 115
9.7%

관리번호
Text

UNIQUE 

Distinct1186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-04-21T19:25:00.406276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29650
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

Unique1186 ?
Unique (%)100.0%

Sample

1st rowPHMB220183250021082200001
2nd rowPHMB220103250021082200001
3rd rowPHMB219933250021082200001
4th rowPHMB220103250021082200006
5th rowPHMB220143250021082200001
ValueCountFrequency (%)
phmb220183250021082200001 1
 
0.1%
phmb219923350024082200003 1
 
0.1%
phmb219783350024082200001 1
 
0.1%
phmb219863350024082200004 1
 
0.1%
phmb219863350024082200003 1
 
0.1%
phmb219883350024082200002 1
 
0.1%
phmb219853350024082200002 1
 
0.1%
phmb220083350024082200001 1
 
0.1%
phmb220073350024082200002 1
 
0.1%
phmb220053350024082200006 1
 
0.1%
Other values (1176) 1176
99.2%
2024-04-21T19:25:01.522581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9695
32.7%
2 6365
21.5%
3 2596
 
8.8%
1 1629
 
5.5%
8 1520
 
5.1%
P 1186
 
4.0%
H 1186
 
4.0%
M 1186
 
4.0%
B 1186
 
4.0%
4 1055
 
3.6%
Other values (4) 2046
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24906
84.0%
Uppercase Letter 4744
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9695
38.9%
2 6365
25.6%
3 2596
 
10.4%
1 1629
 
6.5%
8 1520
 
6.1%
4 1055
 
4.2%
9 979
 
3.9%
5 595
 
2.4%
7 255
 
1.0%
6 217
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1186
25.0%
H 1186
25.0%
M 1186
25.0%
B 1186
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24906
84.0%
Latin 4744
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9695
38.9%
2 6365
25.6%
3 2596
 
10.4%
1 1629
 
6.5%
8 1520
 
6.1%
4 1055
 
4.2%
9 979
 
3.9%
5 595
 
2.4%
7 255
 
1.0%
6 217
 
0.9%
Latin
ValueCountFrequency (%)
P 1186
25.0%
H 1186
25.0%
M 1186
25.0%
B 1186
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9695
32.7%
2 6365
21.5%
3 2596
 
8.8%
1 1629
 
5.5%
8 1520
 
5.1%
P 1186
 
4.0%
H 1186
 
4.0%
M 1186
 
4.0%
B 1186
 
4.0%
4 1055
 
3.6%
Other values (4) 2046
 
6.9%

인허가일자
Real number (ℝ)

Distinct1087
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20042331
Minimum19710518
Maximum20220120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:01.777951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850616
Q119960420
median20060368
Q320131099
95-th percentile20200791
Maximum20220120
Range509602
Interquartile range (IQR)170679.75

Descriptive statistics

Standard deviation110753.46
Coefficient of variation (CV)0.0055259768
Kurtosis-0.75943935
Mean20042331
Median Absolute Deviation (MAD)80799
Skewness-0.40120865
Sum2.3770205 × 1010
Variance1.2266328 × 1010
MonotonicityNot monotonic
2024-04-21T19:25:02.072938image/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%
20210823 2
 
0.2%
19910524 2
 
0.2%
19941012 2
 
0.2%
20180605 2
 
0.2%
20210203 2
 
0.2%
20080213 2
 
0.2%
Other values (1077) 1151
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 (%)
20220120 1
0.1%
20220114 1
0.1%
20211227 1
0.1%
20211216 1
0.1%
20211206 1
0.1%
20211130 2
0.2%
20211123 1
0.1%
20211116 1
0.1%
20211102 1
0.1%
20211027 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
761 
3
417 
4
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 761
64.2%
3 417
35.2%
4 8
 
0.7%

Length

2024-04-21T19:25:02.307521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:02.477539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 761
64.2%
3 417
35.2%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업/정상
761 
폐업
417 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.0059022
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 761
64.2%
폐업 417
35.2%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:25:02.666650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:02.846042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 761
64.2%
폐업 417
35.2%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
13
761 
3
417 
24
 
8

Length

Max length2
Median length2
Mean length1.648398
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 761
64.2%
3 417
35.2%
24 8
 
0.7%

Length

2024-04-21T19:25:03.084586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:03.252722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 761
64.2%
3 417
35.2%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업중
761 
폐업
417 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6551433
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 761
64.2%
폐업 417
35.2%
직권폐업 8
 
0.7%

Length

2024-04-21T19:25:03.458334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:03.653499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 761
64.2%
폐업 417
35.2%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct376
Distinct (%)92.8%
Missing781
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean20104572
Minimum19851128
Maximum20211230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:03.858083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19922916
Q120081014
median20120406
Q320171229
95-th percentile20210526
Maximum20211230
Range360102
Interquartile range (IQR)90215

Descriptive statistics

Standard deviation87294.013
Coefficient of variation (CV)0.004341998
Kurtosis-0.2336036
Mean20104572
Median Absolute Deviation (MAD)50521
Skewness-0.8682901
Sum8.1423518 × 109
Variance7.6202446 × 109
MonotonicityNot monotonic
2024-04-21T19:25:04.126664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20110211 2
 
0.2%
20140602 2
 
0.2%
20180115 2
 
0.2%
20111130 2
 
0.2%
20100803 2
 
0.2%
20091028 2
 
0.2%
20110131 2
 
0.2%
19951109 2
 
0.2%
20110216 2
 
0.2%
Other values (366) 384
32.4%
(Missing) 781
65.9%
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 (%)
20211230 1
0.1%
20211130 1
0.1%
20211126 1
0.1%
20211105 1
0.1%
20211022 1
0.1%
20211021 1
0.1%
20211014 1
0.1%
20210825 1
0.1%
20210820 1
0.1%
20210729 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.5 KiB

소재지전화
Text

MISSING 

Distinct950
Distinct (%)94.4%
Missing180
Missing (%)15.2%
Memory size9.4 KiB
2024-04-21T19:25:04.892034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.293241
Min length7

Characters and Unicode

Total characters11361
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

Unique902 ?
Unique (%)89.7%

Sample

1st row2531216
2nd row070-4116-2770
3rd row051-253-1216
4th row051-246-0006
5th row051-245-1999
ValueCountFrequency (%)
051-808-7088 4
 
0.4%
051-647-5766 3
 
0.3%
051-625-8471 3
 
0.3%
051-337-7111 3
 
0.3%
261-6700 3
 
0.3%
051-816-4500 3
 
0.3%
051-623-7778 3
 
0.3%
051-315-5111 2
 
0.2%
4423136 2
 
0.2%
051-204-2727 2
 
0.2%
Other values (940) 978
97.2%
2024-04-21T19:25:05.870709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1771
15.6%
0 1725
15.2%
5 1585
14.0%
1 1573
13.8%
2 858
7.6%
8 703
 
6.2%
6 698
 
6.1%
3 694
 
6.1%
7 691
 
6.1%
4 630
 
5.5%
Other values (4) 433
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9547
84.0%
Dash Punctuation 1771
 
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 1725
18.1%
5 1585
16.6%
1 1573
16.5%
2 858
9.0%
8 703
7.4%
6 698
7.3%
3 694
7.3%
7 691
7.2%
4 630
 
6.6%
9 390
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1771
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 11361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1771
15.6%
0 1725
15.2%
5 1585
14.0%
1 1573
13.8%
2 858
7.6%
8 703
 
6.2%
6 698
 
6.1%
3 694
 
6.1%
7 691
 
6.1%
4 630
 
5.5%
Other values (4) 433
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1771
15.6%
0 1725
15.2%
5 1585
14.0%
1 1573
13.8%
2 858
7.6%
8 703
 
6.2%
6 698
 
6.1%
3 694
 
6.1%
7 691
 
6.1%
4 630
 
5.5%
Other values (4) 433
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)50.1%
Missing508
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean608173.13
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:06.106863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48272
5-th percentile601812
Q1607833.5
median609839.5
Q3614042.75
95-th percentile617800.9
Maximum619963
Range571691
Interquartile range (IQR)6209.25

Descriptive statistics

Standard deviation37615.959
Coefficient of variation (CV)0.061850742
Kurtosis215.91822
Mean608173.13
Median Absolute Deviation (MAD)3967.5
Skewness-14.627727
Sum4.1234138 × 108
Variance1.4149604 × 109
MonotonicityNot monotonic
2024-04-21T19:25:06.346975image/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%
611089 7
 
0.6%
616852 7
 
0.6%
609800 7
 
0.6%
609822 7
 
0.6%
614030 7
 
0.6%
608805 7
 
0.6%
611082 6
 
0.5%
Other values (330) 581
49.0%
(Missing) 508
42.8%
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 

Distinct1031
Distinct (%)95.2%
Missing103
Missing (%)8.7%
Memory size9.4 KiB
2024-04-21T19:25:07.602356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.166205
Min length3

Characters and Unicode

Total characters26172
Distinct characters315
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

Unique985 ?
Unique (%)91.0%

Sample

1st row부산광역시 중구 창선동2가 24번지 4호
2nd row부산광역시 중구 남포동2가 24번지 8호
3rd row부산광역시 중구 창선동2가 24번지 4호
4th row부산광역시 중구 남포동4가 2번지 5호
5th row부산광역시 중구 남포동6가 85
ValueCountFrequency (%)
부산광역시 1054
 
19.2%
금정구 170
 
3.1%
부산진구 142
 
2.6%
1호 122
 
2.2%
남구 106
 
1.9%
사하구 86
 
1.6%
동래구 81
 
1.5%
중구 77
 
1.4%
해운대구 70
 
1.3%
1층 68
 
1.2%
Other values (1400) 3504
63.9%
2024-04-21T19:25:09.323061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4412
 
16.9%
1 1396
 
5.3%
부 1360
 
5.2%
산 1298
 
5.0%
동 1206
 
4.6%
시 1099
 
4.2%
구 1087
 
4.2%
광 1085
 
4.1%
역 1059
 
4.0%
2 919
 
3.5%
Other values (305) 11251
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15588
59.6%
Decimal Number 5711
 
21.8%
Space Separator 4412
 
16.9%
Dash Punctuation 288
 
1.1%
Uppercase Letter 63
 
0.2%
Other Punctuation 44
 
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 1360
 
8.7%
산 1298
 
8.3%
동 1206
 
7.7%
시 1099
 
7.1%
구 1087
 
7.0%
광 1085
 
7.0%
역 1059
 
6.8%
지 833
 
5.3%
호 793
 
5.1%
번 780
 
5.0%
Other values (271) 4988
32.0%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
K 10
15.9%
B 7
11.1%
A 6
9.5%
C 5
7.9%
H 5
7.9%
E 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 1396
24.4%
2 919
16.1%
3 642
11.2%
4 544
 
9.5%
5 471
 
8.2%
0 394
 
6.9%
6 366
 
6.4%
7 348
 
6.1%
8 322
 
5.6%
9 309
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 36
81.8%
. 5
 
11.4%
@ 2
 
4.5%
/ 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
4412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
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 15588
59.6%
Common 10519
40.2%
Latin 65
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1360
 
8.7%
산 1298
 
8.3%
동 1206
 
7.7%
시 1099
 
7.1%
구 1087
 
7.0%
광 1085
 
7.0%
역 1059
 
6.8%
지 833
 
5.3%
호 793
 
5.1%
번 780
 
5.0%
Other values (271) 4988
32.0%
Common
ValueCountFrequency (%)
4412
41.9%
1 1396
 
13.3%
2 919
 
8.7%
3 642
 
6.1%
4 544
 
5.2%
5 471
 
4.5%
0 394
 
3.7%
6 366
 
3.5%
7 348
 
3.3%
8 322
 
3.1%
Other values (9) 705
 
6.7%
Latin
ValueCountFrequency (%)
S 11
16.9%
K 10
15.4%
B 7
10.8%
A 6
9.2%
C 5
7.7%
H 5
7.7%
E 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 15588
59.6%
ASCII 10584
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4412
41.7%
1 1396
 
13.2%
2 919
 
8.7%
3 642
 
6.1%
4 544
 
5.1%
5 471
 
4.5%
0 394
 
3.7%
6 366
 
3.5%
7 348
 
3.3%
8 322
 
3.0%
Other values (24) 770
 
7.3%
Hangul
ValueCountFrequency (%)
부 1360
 
8.7%
산 1298
 
8.3%
동 1206
 
7.7%
시 1099
 
7.1%
구 1087
 
7.0%
광 1085
 
7.0%
역 1059
 
6.8%
지 833
 
5.3%
호 793
 
5.1%
번 780
 
5.0%
Other values (271) 4988
32.0%

도로명전체주소
Text

MISSING 

Distinct1029
Distinct (%)93.2%
Missing82
Missing (%)6.9%
Memory size9.4 KiB
2024-04-21T19:25:10.665462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length28.138587
Min length20

Characters and Unicode

Total characters31065
Distinct characters358
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

Unique968 ?
Unique (%)87.7%

Sample

1st row부산광역시 중구 국제시장2길 6-1 (창선동2가)
2nd row부산광역시 중구 구덕로34번길 3-1 (남포동2가)
3rd row부산광역시 중구 국제시장2길 6-1 (창선동2가)
4th row부산광역시 중구 구덕로 38-1, 1,2층 (남포동4가)
5th row부산광역시 중구 광복로 43 (창선동1가)
ValueCountFrequency (%)
부산광역시 1105
 
17.7%
1층 175
 
2.8%
금정구 154
 
2.5%
부산진구 141
 
2.3%
해운대구 99
 
1.6%
남구 92
 
1.5%
동래구 89
 
1.4%
사하구 89
 
1.4%
중구 77
 
1.2%
부전동 70
 
1.1%
Other values (1361) 4144
66.5%
2024-04-21T19:25:12.442897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5135
 
16.5%
부 1405
 
4.5%
동 1399
 
4.5%
산 1350
 
4.3%
시 1190
 
3.8%
광 1187
 
3.8%
구 1141
 
3.7%
역 1109
 
3.6%
1 1099
 
3.5%
( 1090
 
3.5%
Other values (348) 14960
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18579
59.8%
Space Separator 5135
 
16.5%
Decimal Number 4375
 
14.1%
Open Punctuation 1090
 
3.5%
Close Punctuation 1090
 
3.5%
Other Punctuation 549
 
1.8%
Dash Punctuation 164
 
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 1405
 
7.6%
동 1399
 
7.5%
산 1350
 
7.3%
시 1190
 
6.4%
광 1187
 
6.4%
구 1141
 
6.1%
역 1109
 
6.0%
로 1087
 
5.9%
대 581
 
3.1%
층 274
 
1.5%
Other values (313) 7856
42.3%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.7%
K 12
16.9%
B 11
15.5%
A 5
 
7.0%
H 5
 
7.0%
C 5
 
7.0%
G 4
 
5.6%
U 4
 
5.6%
Y 4
 
5.6%
E 3
 
4.2%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1099
25.1%
2 667
15.2%
3 410
 
9.4%
0 385
 
8.8%
4 373
 
8.5%
5 319
 
7.3%
7 318
 
7.3%
6 304
 
6.9%
9 260
 
5.9%
8 240
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
b 1
20.0%
h 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 545
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
5135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1090
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18579
59.8%
Common 12410
39.9%
Latin 76
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1405
 
7.6%
동 1399
 
7.5%
산 1350
 
7.3%
시 1190
 
6.4%
광 1187
 
6.4%
구 1141
 
6.1%
역 1109
 
6.0%
로 1087
 
5.9%
대 581
 
3.1%
층 274
 
1.5%
Other values (313) 7856
42.3%
Latin
ValueCountFrequency (%)
S 14
18.4%
K 12
15.8%
B 11
14.5%
A 5
 
6.6%
H 5
 
6.6%
C 5
 
6.6%
G 4
 
5.3%
U 4
 
5.3%
Y 4
 
5.3%
E 3
 
3.9%
Other values (8) 9
11.8%
Common
ValueCountFrequency (%)
5135
41.4%
1 1099
 
8.9%
( 1090
 
8.8%
) 1090
 
8.8%
2 667
 
5.4%
, 545
 
4.4%
3 410
 
3.3%
0 385
 
3.1%
4 373
 
3.0%
5 319
 
2.6%
Other values (7) 1297
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18579
59.8%
ASCII 12486
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5135
41.1%
1 1099
 
8.8%
( 1090
 
8.7%
) 1090
 
8.7%
2 667
 
5.3%
, 545
 
4.4%
3 410
 
3.3%
0 385
 
3.1%
4 373
 
3.0%
5 319
 
2.6%
Other values (25) 1373
 
11.0%
Hangul
ValueCountFrequency (%)
부 1405
 
7.6%
동 1399
 
7.5%
산 1350
 
7.3%
시 1190
 
6.4%
광 1187
 
6.4%
구 1141
 
6.1%
역 1109
 
6.0%
로 1087
 
5.9%
대 581
 
3.1%
층 274
 
1.5%
Other values (313) 7856
42.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct540
Distinct (%)58.1%
Missing256
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean83014.078
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:12.838555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147128.25
median47862.5
Q348945
95-th percentile608798.25
Maximum619963
Range573959
Interquartile range (IQR)1816.75

Descriptive statistics

Standard deviation136588.87
Coefficient of variation (CV)1.6453699
Kurtosis11.171346
Mean83014.078
Median Absolute Deviation (MAD)872.5
Skewness3.6256067
Sum77203093
Variance1.8656518 × 1010
MonotonicityNot monotonic
2024-04-21T19:25:13.448806image/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
 
0.8%
47295 9
 
0.8%
47296 8
 
0.7%
46576 7
 
0.6%
47254 7
 
0.6%
47289 7
 
0.6%
48095 7
 
0.6%
Other values (530) 830
70.0%
(Missing) 256
 
21.6%
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 3
0.3%
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

Distinct938
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-04-21T19:25:14.323561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.8212479
Min length2

Characters and Unicode

Total characters8090
Distinct characters413
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

Unique821 ?
Unique (%)69.2%

Sample

1st row국전안경
2nd row아이샵(eye#)안경
3rd row국전안경
4th row눈사랑안경남포
5th row갤러리안경원
ValueCountFrequency (%)
안경원 67
 
4.5%
안경 45
 
3.0%
갤러리안경 30
 
2.0%
안경나라 22
 
1.5%
눈사랑안경 18
 
1.2%
초이스안경 13
 
0.9%
갤러리안경원 13
 
0.9%
오렌즈 12
 
0.8%
으뜸50안경 11
 
0.7%
세컨페이스 11
 
0.7%
Other values (936) 1251
83.8%
2024-04-21T19:25:15.639421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1079
 
13.3%
경 1076
 
13.3%
원 403
 
5.0%
307
 
3.8%
점 282
 
3.5%
이 267
 
3.3%
아 214
 
2.6%
스 187
 
2.3%
리 127
 
1.6%
0 97
 
1.2%
Other values (403) 4051
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7284
90.0%
Space Separator 307
 
3.8%
Decimal Number 196
 
2.4%
Uppercase Letter 87
 
1.1%
Lowercase Letter 70
 
0.9%
Close Punctuation 59
 
0.7%
Open Punctuation 59
 
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 1079
 
14.8%
경 1076
 
14.8%
원 403
 
5.5%
점 282
 
3.9%
이 267
 
3.7%
아 214
 
2.9%
스 187
 
2.6%
리 127
 
1.7%
트 87
 
1.2%
비 80
 
1.1%
Other values (345) 3482
47.8%
Uppercase Letter
ValueCountFrequency (%)
O 13
14.9%
S 8
 
9.2%
E 8
 
9.2%
L 6
 
6.9%
G 5
 
5.7%
K 5
 
5.7%
N 4
 
4.6%
M 4
 
4.6%
I 4
 
4.6%
C 4
 
4.6%
Other values (12) 26
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 10
14.3%
n 7
10.0%
a 7
10.0%
c 7
10.0%
i 6
8.6%
o 6
8.6%
t 5
7.1%
l 5
7.1%
s 3
 
4.3%
p 3
 
4.3%
Other values (8) 11
15.7%
Decimal Number
ValueCountFrequency (%)
0 97
49.5%
1 44
22.4%
8 23
 
11.7%
5 23
 
11.7%
2 5
 
2.6%
3 3
 
1.5%
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 (%)
307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7284
90.0%
Common 648
 
8.0%
Latin 157
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1079
 
14.8%
경 1076
 
14.8%
원 403
 
5.5%
점 282
 
3.9%
이 267
 
3.7%
아 214
 
2.9%
스 187
 
2.6%
리 127
 
1.7%
트 87
 
1.2%
비 80
 
1.1%
Other values (345) 3482
47.8%
Latin
ValueCountFrequency (%)
O 13
 
8.3%
e 10
 
6.4%
S 8
 
5.1%
E 8
 
5.1%
n 7
 
4.5%
a 7
 
4.5%
c 7
 
4.5%
i 6
 
3.8%
o 6
 
3.8%
L 6
 
3.8%
Other values (30) 79
50.3%
Common
ValueCountFrequency (%)
307
47.4%
0 97
 
15.0%
) 59
 
9.1%
( 59
 
9.1%
1 44
 
6.8%
8 23
 
3.5%
5 23
 
3.5%
. 13
 
2.0%
2 5
 
0.8%
· 4
 
0.6%
Other values (7) 14
 
2.2%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7283
90.0%
ASCII 800
 
9.9%
None 5
 
0.1%
Enclosed Alphanum 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1079
 
14.8%
경 1076
 
14.8%
원 403
 
5.5%
점 282
 
3.9%
이 267
 
3.7%
아 214
 
2.9%
스 187
 
2.6%
리 127
 
1.7%
트 87
 
1.2%
비 80
 
1.1%
Other values (344) 3481
47.8%
ASCII
ValueCountFrequency (%)
307
38.4%
0 97
 
12.1%
) 59
 
7.4%
( 59
 
7.4%
1 44
 
5.5%
8 23
 
2.9%
5 23
 
2.9%
. 13
 
1.6%
O 13
 
1.6%
e 10
 
1.2%
Other values (45) 152
19.0%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1160
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0150516 × 1013
Minimum2.008112 × 1013
Maximum2.0220126 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:16.040711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120421 × 1013
median2.0150623 × 1013
Q32.0181226 × 1013
95-th percentile2.0210729 × 1013
Maximum2.0220126 × 1013
Range1.3900595 × 1011
Interquartile range (IQR)6.0805039 × 1010

Descriptive statistics

Standard deviation3.9856373 × 1010
Coefficient of variation (CV)0.0019779331
Kurtosis-1.1678131
Mean2.0150516 × 1013
Median Absolute Deviation (MAD)3.0407968 × 1010
Skewness-0.026935985
Sum2.3898512 × 1016
Variance1.5885305 × 1021
MonotonicityNot monotonic
2024-04-21T19:25:16.493463image/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%
20090209150435 1
 
0.1%
20090209152358 1
 
0.1%
20090209152037 1
 
0.1%
20090209151721 1
 
0.1%
20090209151337 1
 
0.1%
20090209151001 1
 
0.1%
Other values (1150) 1150
97.0%
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 (%)
20220126092053 1
0.1%
20220120104919 1
0.1%
20220117105448 1
0.1%
20220107135517 1
0.1%
20220106145622 1
0.1%
20220105151832 1
0.1%
20220105110650 1
0.1%
20220104174714 1
0.1%
20211230131703 1
0.1%
20211227165320 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
I
935 
U
251 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 935
78.8%
U 251
 
21.2%

Length

2024-04-21T19:25:16.919196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:17.223430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 935
78.8%
u 251
 
21.2%

데이터갱신일자
Date

Distinct289
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-28 02:40:00
2024-04-21T19:25:17.560734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:25:17.993964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct948
Distinct (%)85.8%
Missing81
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean388050.79
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:18.398746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379689.75
Q1384874.52
median388506.31
Q3391224.22
95-th percentile397348.67
Maximum403236.19
Range36128.006
Interquartile range (IQR)6349.7001

Descriptive statistics

Standard deviation5253.8744
Coefficient of variation (CV)0.013539141
Kurtosis0.45131852
Mean388050.79
Median Absolute Deviation (MAD)3204.2318
Skewness-0.029767565
Sum4.2879612 × 108
Variance27603197
MonotonicityNot monotonic
2024-04-21T19:25:18.850005image/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%
389816.233000769 5
 
0.4%
389097.800933845 5
 
0.4%
387920.292112964 5
 
0.4%
385590.814676765 4
 
0.3%
395388.715069604 4
 
0.3%
398237.363461482 4
 
0.3%
393952.264486105 4
 
0.3%
Other values (938) 1054
88.9%
(Missing) 81
 
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%
374816.0 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 

Distinct949
Distinct (%)85.9%
Missing81
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean187306.58
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:19.260520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178712.97
Q1183505.93
median187061.14
Q3191765.49
95-th percentile196226.66
Maximum206377.97
Range32361.42
Interquartile range (IQR)8259.5594

Descriptive statistics

Standard deviation5850.4455
Coefficient of variation (CV)0.031234596
Kurtosis-0.16065011
Mean187306.58
Median Absolute Deviation (MAD)4354.2644
Skewness0.19276224
Sum2.0697377 × 108
Variance34227712
MonotonicityNot monotonic
2024-04-21T19:25:19.687699image/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%
193329.605871168 5
 
0.4%
192260.811648263 5
 
0.4%
186157.316240551 5
 
0.4%
179553.867031936 4
 
0.3%
186268.853282623 4
 
0.3%
187720.511056894 4
 
0.3%
187602.933160728 4
 
0.3%
Other values (939) 1054
88.9%
(Missing) 81
 
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 size9.4 KiB
1
972 
0
172 
2
 
35
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0126476
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 972
82.0%
0 172
 
14.5%
2 35
 
3.0%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:25:20.123819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:20.461448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 972
82.0%
0 172
 
14.5%
2 35
 
3.0%
na 5
 
0.4%
3 2
 
0.2%

표본렌즈수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
905 
0
205 
<NA>
 
36
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.0927487
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 905
76.3%
0 205
 
17.3%
<NA> 36
 
3.0%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:25:20.841209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:21.184647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
76.3%
0 205
 
17.3%
na 36
 
3.0%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing44
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean0.88441331
Minimum0
Maximum11
Zeros206
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:21.496840image/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 deviation0.58669334
Coefficient of variation (CV)0.6633701
Kurtosis81.117655
Mean0.88441331
Median Absolute Deviation (MAD)0
Skewness5.0081362
Sum1010
Variance0.34420908
MonotonicityNot monotonic
2024-04-21T19:25:21.836416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
74.5%
0 206
 
17.4%
2 43
 
3.6%
3 4
 
0.3%
4 3
 
0.3%
5 1
 
0.1%
11 1
 
0.1%
(Missing) 44
 
3.7%
ValueCountFrequency (%)
0 206
 
17.4%
1 884
74.5%
2 43
 
3.6%
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
 
3.6%
1 884
74.5%
0 206
 
17.4%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.92464014
Minimum0
Maximum10
Zeros174
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:22.173992image/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 deviation0.59538691
Coefficient of variation (CV)0.64391203
Kurtosis56.29129
Mean0.92464014
Median Absolute Deviation (MAD)0
Skewness4.6096559
Sum1092
Variance0.35448557
MonotonicityNot monotonic
2024-04-21T19:25:22.522450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 959
80.9%
0 174
 
14.7%
2 31
 
2.6%
3 8
 
0.7%
5 5
 
0.4%
4 3
 
0.3%
10 1
 
0.1%
(Missing) 5
 
0.4%
ValueCountFrequency (%)
0 174
 
14.7%
1 959
80.9%
2 31
 
2.6%
3 8
 
0.7%
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 8
 
0.7%
2 31
 
2.6%
1 959
80.9%
0 174
 
14.7%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
866 
0
172 
2
104 
3
 
30
4
 
7

Length

Max length4
Median length1
Mean length1.0177066
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row4
5th row1

Common Values

ValueCountFrequency (%)
1 866
73.0%
0 172
 
14.5%
2 104
 
8.8%
3 30
 
2.5%
4 7
 
0.6%
<NA> 7
 
0.6%

Length

2024-04-21T19:25:22.918259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:23.261835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 866
73.0%
0 172
 
14.5%
2 104
 
8.8%
3 30
 
2.5%
4 7
 
0.6%
na 7
 
0.6%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
902 
0
208 
<NA>
 
48
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1214165
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 902
76.1%
0 208
 
17.5%
<NA> 48
 
4.0%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:25:23.644192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:23.974959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 902
76.1%
0 208
 
17.5%
na 48
 
4.0%
2 27
 
2.3%
3 1
 
0.1%

렌즈절단기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
911 
0
209 
<NA>
 
46
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1163575
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 911
76.8%
0 209
 
17.6%
<NA> 46
 
3.9%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:25:24.344226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:25:24.674294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
76.8%
0 209
 
17.6%
na 46
 
3.9%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing48
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean0.93233743
Minimum0
Maximum5
Zeros207
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:24.980383image/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 deviation0.57795167
Coefficient of variation (CV)0.61989538
Kurtosis5.6157961
Mean0.93233743
Median Absolute Deviation (MAD)0
Skewness0.90566908
Sum1061
Variance0.33402813
MonotonicityNot monotonic
2024-04-21T19:25:25.319128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
69.0%
0 207
 
17.5%
2 101
 
8.5%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 48
 
4.0%
ValueCountFrequency (%)
0 207
 
17.5%
1 818
69.0%
2 101
 
8.5%
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
 
8.5%
1 818
69.0%
0 207
 
17.5%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing47
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean0.96575944
Minimum0
Maximum5
Zeros206
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:25.639060image/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 deviation0.61731363
Coefficient of variation (CV)0.6392002
Kurtosis3.5321205
Mean0.96575944
Median Absolute Deviation (MAD)0
Skewness0.85165034
Sum1100
Variance0.38107611
MonotonicityNot monotonic
2024-04-21T19:25:25.978484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
66.8%
0 206
 
17.4%
2 119
 
10.0%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 47
 
4.0%
ValueCountFrequency (%)
0 206
 
17.4%
1 792
66.8%
2 119
 
10.0%
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
 
10.0%
1 792
66.8%
0 206
 
17.4%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct508
Distinct (%)74.4%
Missing503
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean76.73612
Minimum0
Maximum723.02
Zeros76
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:25:26.343187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median59.4
Q399.05
95-th percentile213.9
Maximum723.02
Range723.02
Interquartile range (IQR)66.05

Descriptive statistics

Standard deviation73.15673
Coefficient of variation (CV)0.95335456
Kurtosis17.307362
Mean76.73612
Median Absolute Deviation (MAD)31.6
Skewness2.9391902
Sum52410.77
Variance5351.9072
MonotonicityNot monotonic
2024-04-21T19:25:26.776973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 76
 
6.4%
33.0 10
 
0.8%
49.5 5
 
0.4%
66.0 5
 
0.4%
46.2 4
 
0.3%
56.0 4
 
0.3%
57.6 4
 
0.3%
60.0 4
 
0.3%
80.0 3
 
0.3%
105.0 3
 
0.3%
Other values (498) 565
47.6%
(Missing) 503
42.4%
ValueCountFrequency (%)
0.0 76
6.4%
1.0 1
 
0.1%
2.0 1
 
0.1%
5.56 1
 
0.1%
5.6 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%
310.68 1
0.1%
304.5 1
0.1%
304.12 1
0.1%

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)100.0%
Memory size10.5 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
01안경업01_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>
12안경업01_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>
23안경업01_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>
34안경업01_02_01_P3250000PHMB22010325002108220000620101227<NA>3폐업3폐업20190416<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동4가 2번지 5호부산광역시 중구 구덕로 38-1, 1,2층 (남포동4가)48953눈사랑안경남포20190416151924U2019-04-18 02:40:00.0<NA>385186.028117179577.535415111141144188.2<NA>
45안경업01_02_01_P3250000PHMB22014325002108220000120140102<NA>3폐업3폐업20161012<NA><NA><NA>051-246-0006<NA><NA><NA>부산광역시 중구 광복로 43 (창선동1가)48947갤러리안경원20161012162524I2018-08-31 23:59:59.0<NA>385016.604749179699.072538111111111197.49<NA>
56안경업01_02_01_P3250000PHMB22004325002108220000120040312<NA>3폐업3폐업20090320<NA><NA><NA>051-245-1999<NA><NA>부산광역시 중구 남포동6가 85<NA><NA>남포프라자안경20120320135800I2018-08-31 23:59:59.0<NA><NA><NA>111111111<NA><NA>
67안경업01_02_01_P3250000PHMB22005325002108220000120051122<NA>3폐업3폐업20180416<NA><NA><NA>051-245-7344<NA><NA>부산광역시 중구 부평동1가 23-27부산광역시 중구 중구로33번길 12 (부평동1가)48978마루안경20180424153521I2018-08-31 23:59:59.0<NA>384777.232329179870.976762111111111<NA><NA>
78안경업01_02_01_P3250000PHMB22006325002108220000120061228<NA>3폐업3폐업20210623<NA><NA><NA>051-246-1341<NA><NA>부산광역시 중구 창선동2가 45-17부산광역시 중구 중구로 14 (창선동2가)48953080안경20210623114002U2021-06-25 02:40:00.0<NA>384843.682071179657.801434111111111<NA><NA>
89안경업01_02_01_P3250000PHMB22010325002108220000520101109<NA>3폐업3폐업20180531<NA><NA><NA>242-4623<NA>600063부산광역시 중구 신창동3가 16번지 7호부산광역시 중구 광복로35번길 16 (신창동3가)48946스마일안경20180605150519I2018-08-31 23:59:59.0<NA>384931.528183179828.54383611111111149.0<NA>
910안경업01_02_01_P3250000PHMB21987325002108220000119870722<NA>3폐업3폐업20121022<NA><NA><NA>051-245-9976<NA><NA>부산광역시 중구 신창동3가 32-2<NA><NA>금장안경20121026092249I2018-08-31 23:59:59.0<NA><NA><NA>111111111<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
11761177안경업01_02_01_P3400000PHMB22014340001308220000120140324<NA>1영업/정상13영업중<NA><NA><NA><NA>728-8880<NA>619963부산광역시 기장군 정관면 용수리 1328번지 1호부산광역시 기장군 정관면 정관로 501 (삼영프라자 1층)46015파프리카안경점20160628144728I2018-08-31 23:59:59.0<NA>397407.420855205376.5760311213112290.0<NA>
11771178안경업01_02_01_P3400000PHMB22014340001308220000420141111<NA>1영업/정상13영업중<NA><NA><NA><NA>051-727-6819<NA><NA><NA>부산광역시 기장군 정관면 정관로 56046017안경만들기20190329153555U2019-03-31 02:40:00.0<NA>397797.997977204915.6281111212111195.7<NA>
11781179안경업01_02_01_P3400000PHMB22014340001308220000520141222<NA>1영업/정상13영업중<NA><NA><NA><NA>051-901-2520<NA><NA><NA>부산광역시 기장군 기장읍 기장해안로 147 (롯데몰동부산점스펙터내)46083스펙트롯데동부산점안경원20141222181646I2018-08-31 23:59:59.0<NA>401669.0190270.011411112236.96<NA>
11791180안경업01_02_01_P3400000PHMB22020340001308220000120200221<NA>1영업/정상13영업중<NA><NA><NA><NA>0517215051<NA><NA>부산광역시 기장군 기장읍 동부리 280번지 11호 빠리바게트부산광역시 기장군 기장읍 차성동로 64, 2층46065으뜸50안경콘택트 기장점20200221163210I2020-02-23 00:23:23.0<NA>401709.206085196053.96927411<NA>1<NA><NA><NA><NA><NA>100.42<NA>
11801181안경업01_02_01_P3400000PHMB22014340001308220000320140827<NA>1영업/정상13영업중<NA><NA><NA><NA>728-7229<NA><NA><NA>부산광역시 기장군 정관면 정관로 389 (롯데타워 103호)46008우리동네 안경원20190628145312U2019-06-30 02:40:00.0<NA>396910.307285206377.97096711122111272.6<NA>
11811182안경업01_02_01_P3400000PHMB22021340001308220000220210728<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7585-0909<NA><NA>부산광역시 기장군 정관읍 매학리 713-1 정관타워부산광역시 기장군 정관읍 정관로 561, 3층 303호46015으뜸플러스안경 부산정관점20210729105316I2021-07-31 00:22:51.0<NA>397748.735322204683.186892100110000202.97<NA>
11821183안경업01_02_01_P3400000PHMB22021340001308220000320210906<NA>1영업/정상13영업중<NA><NA><NA><NA>051-722-2233<NA><NA>부산광역시 기장군 일광면 삼성리 830부산광역시 기장군 일광면 해빛6로 107-3, 1층 105,106호46048바라본안경20210906142236I2021-09-08 00:22:50.0<NA><NA><NA>10011000063.5<NA>
11831184안경업01_02_01_P3400000PHMB22021340001308220000120210601<NA>1영업/정상13영업중<NA><NA><NA><NA>051-722-3180<NA><NA>부산광역시 기장군 기장읍 교리 342-1부산광역시 기장군 기장읍 차성로 430, 1층 110호46056기장성모안경20211116145430U2021-11-18 02:40:00.0<NA>401700.977669197225.42833320011000062.73<NA>
11841185안경업01_02_01_P3400000PHMB22020340001308220000220110728<NA>1영업/정상13영업중<NA><NA><NA><NA>051-545-1518<NA><NA>부산광역시 기장군 기장읍 교리 340-1 꼬마돈까스부산광역시 기장군 기장읍 차성로 424, 1층46056갤러리안경20200914132924I2020-09-16 00:23:12.0<NA>401654.858313197228.25087111111112256.6<NA>
11851186안경업01_02_01_P3400000PHMB22018340001308220000120181122<NA>1영업/정상13영업중<NA><NA><NA><NA>051-724-6900<NA><NA>부산광역시 기장군 기장읍 동부리 362번지 1호부산광역시 기장군 기장읍 차성동로 10446063다비치안경 기장시장점20190502162748U2019-05-04 02:40:00.0<NA>401723.705169196436.866389222221122213.0<NA>