Overview

Dataset statistics

Number of variables39
Number of observations1180
Missing cells10972
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory391.9 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2022-01-01
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 (58.5%)Imbalance
정점굴절계기수 is highly imbalanced (50.9%)Imbalance
조제용연마기수 is highly imbalanced (54.6%)Imbalance
렌즈절단기수 is highly imbalanced (56.3%)Imbalance
인허가취소일자 has 1180 (100.0%) missing valuesMissing
폐업일자 has 777 (65.8%) missing valuesMissing
휴업시작일자 has 1180 (100.0%) missing valuesMissing
휴업종료일자 has 1180 (100.0%) missing valuesMissing
재개업일자 has 1180 (100.0%) missing valuesMissing
소재지전화 has 177 (15.0%) missing valuesMissing
소재지면적 has 1180 (100.0%) missing valuesMissing
소재지우편번호 has 501 (42.5%) missing valuesMissing
소재지전체주소 has 102 (8.6%) missing valuesMissing
도로명전체주소 has 82 (6.9%) missing valuesMissing
도로명우편번호 has 256 (21.7%) missing valuesMissing
업태구분명 has 1180 (100.0%) missing valuesMissing
좌표정보(x) has 81 (6.9%) missing valuesMissing
좌표정보(y) has 81 (6.9%) missing valuesMissing
측정의자수 has 45 (3.8%) missing valuesMissing
가열기수 has 49 (4.2%) missing valuesMissing
안경세척기수 has 48 (4.1%) missing valuesMissing
총면적 has 508 (43.1%) missing valuesMissing
Unnamed: 38 has 1180 (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 199 (16.9%) zerosZeros
동공거리측정기수 has 175 (14.8%) zerosZeros
가열기수 has 200 (16.9%) zerosZeros
안경세척기수 has 199 (16.9%) zerosZeros
총면적 has 73 (6.2%) zerosZeros

Reproduction

Analysis started2024-04-21 10:28:13.691476
Analysis finished2024-04-21 10:28:15.162979
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean590.5
Minimum1
Maximum1180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:15.289019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.95
Q1295.75
median590.5
Q3885.25
95-th percentile1121.05
Maximum1180
Range1179
Interquartile range (IQR)589.5

Descriptive statistics

Standard deviation340.78097
Coefficient of variation (CV)0.57710578
Kurtosis-1.2
Mean590.5
Median Absolute Deviation (MAD)295
Skewness0
Sum696790
Variance116131.67
MonotonicityStrictly increasing
2024-04-21T19:28:15.544692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
777 1
 
0.1%
793 1
 
0.1%
792 1
 
0.1%
791 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
786 1
 
0.1%
Other values (1170) 1170
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 (%)
1180 1
0.1%
1179 1
0.1%
1178 1
0.1%
1177 1
0.1%
1176 1
0.1%
1175 1
0.1%
1174 1
0.1%
1173 1
0.1%
1172 1
0.1%
1171 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
안경업
1180 

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 1180
100.0%

Length

2024-04-21T19:28:15.777820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:15.935350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1180
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
01_02_01_P
1180 

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 1180
100.0%

Length

2024-04-21T19:28:16.098963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:16.266061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1180
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325093.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:16.414718image/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 deviation39933.041
Coefficient of variation (CV)0.012009601
Kurtosis-0.74438924
Mean3325093.2
Median Absolute Deviation (MAD)30000
Skewness-0.049446517
Sum3.92361 × 109
Variance1.5946478 × 109
MonotonicityIncreasing
2024-04-21T19:28:16.624509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 175
14.8%
3290000 147
12.5%
3310000 115
9.7%
3330000 100
8.5%
3340000 93
7.9%
3300000 88
7.5%
3250000 80
6.8%
3390000 69
 
5.8%
3320000 66
 
5.6%
3370000 65
 
5.5%
Other values (6) 182
15.4%
ValueCountFrequency (%)
3250000 80
6.8%
3260000 23
 
1.9%
3270000 28
 
2.4%
3280000 27
 
2.3%
3290000 147
12.5%
3300000 88
7.5%
3310000 115
9.7%
3320000 66
5.6%
3330000 100
8.5%
3340000 93
7.9%
ValueCountFrequency (%)
3400000 35
 
3.0%
3390000 69
 
5.8%
3380000 52
 
4.4%
3370000 65
 
5.5%
3360000 17
 
1.4%
3350000 175
14.8%
3340000 93
7.9%
3330000 100
8.5%
3320000 66
 
5.6%
3310000 115
9.7%

관리번호
Text

UNIQUE 

Distinct1180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-04-21T19:28:17.265152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29500
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

Unique1180 ?
Unique (%)100.0%

Sample

1st rowPHMB220183250021082200001
2nd rowPHMB220103250021082200001
3rd rowPHMB219933250021082200001
4th rowPHMB220103250021082200006
5th rowPHMB220143250021082200001
ValueCountFrequency (%)
phmb220183250021082200001 1
 
0.1%
phmb219843350024082200001 1
 
0.1%
phmb219923350024082200002 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%
Other values (1170) 1170
99.2%
2024-04-21T19:28:18.110824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9644
32.7%
2 6321
21.4%
3 2584
 
8.8%
1 1623
 
5.5%
8 1516
 
5.1%
P 1180
 
4.0%
H 1180
 
4.0%
M 1180
 
4.0%
B 1180
 
4.0%
4 1051
 
3.6%
Other values (4) 2041
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24780
84.0%
Uppercase Letter 4720
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9644
38.9%
2 6321
25.5%
3 2584
 
10.4%
1 1623
 
6.5%
8 1516
 
6.1%
4 1051
 
4.2%
9 980
 
4.0%
5 594
 
2.4%
7 253
 
1.0%
6 214
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1180
25.0%
H 1180
25.0%
M 1180
25.0%
B 1180
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24780
84.0%
Latin 4720
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9644
38.9%
2 6321
25.5%
3 2584
 
10.4%
1 1623
 
6.5%
8 1516
 
6.1%
4 1051
 
4.2%
9 980
 
4.0%
5 594
 
2.4%
7 253
 
1.0%
6 214
 
0.9%
Latin
ValueCountFrequency (%)
P 1180
25.0%
H 1180
25.0%
M 1180
25.0%
B 1180
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9644
32.7%
2 6321
21.4%
3 2584
 
8.8%
1 1623
 
5.5%
8 1516
 
5.1%
P 1180
 
4.0%
H 1180
 
4.0%
M 1180
 
4.0%
B 1180
 
4.0%
4 1051
 
3.6%
Other values (4) 2041
 
6.9%

인허가일자
Real number (ℝ)

Distinct1082
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20041457
Minimum19710518
Maximum20211130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:18.561632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850615
Q119960415
median20060220
Q320130811
95-th percentile20200602
Maximum20211130
Range500612
Interquartile range (IQR)170396

Descriptive statistics

Standard deviation110352.29
Coefficient of variation (CV)0.0055062007
Kurtosis-0.75831418
Mean20041457
Median Absolute Deviation (MAD)80851.5
Skewness-0.40315628
Sum2.364892 × 1010
Variance1.2177627 × 1010
MonotonicityNot monotonic
2024-04-21T19:28:18.824750image/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%
20080526 2
 
0.2%
20001004 2
 
0.2%
20210104 2
 
0.2%
19910724 2
 
0.2%
20020326 2
 
0.2%
20140416 2
 
0.2%
Other values (1072) 1145
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 (%)
20211130 1
0.1%
20211123 1
0.1%
20211116 1
0.1%
20211102 1
0.1%
20211027 1
0.1%
20211020 1
0.1%
20211007 1
0.1%
20211005 1
0.1%
20210923 1
0.1%
20210915 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1180
Missing (%)100.0%
Memory size10.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
757 
3
415 
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 (%)
1 757
64.2%
3 415
35.2%
4 8
 
0.7%

Length

2024-04-21T19:28:19.050925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:19.221143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 757
64.2%
3 415
35.2%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
영업/정상
757 
폐업
415 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.0059322
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 757
64.2%
폐업 415
35.2%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:28:19.410395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:19.595669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 757
64.2%
폐업 415
35.2%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
13
757 
3
415 
24
 
8

Length

Max length2
Median length2
Mean length1.6483051
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 757
64.2%
3 415
35.2%
24 8
 
0.7%

Length

2024-04-21T19:28:19.788244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:19.958384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 757
64.2%
3 415
35.2%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
영업중
757 
폐업
415 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6550847
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 757
64.2%
폐업 415
35.2%
직권폐업 8
 
0.7%

Length

2024-04-21T19:28:20.160709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:20.355896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 757
64.2%
폐업 415
35.2%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct374
Distinct (%)92.8%
Missing777
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean20104043
Minimum19851128
Maximum20211126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:20.560225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19922015
Q120080959
median20120404
Q320171111
95-th percentile20210495
Maximum20211126
Range359998
Interquartile range (IQR)90152

Descriptive statistics

Standard deviation87185.62
Coefficient of variation (CV)0.0043367207
Kurtosis-0.2384317
Mean20104043
Median Absolute Deviation (MAD)50501
Skewness-0.86673522
Sum8.1019294 × 109
Variance7.6013323 × 109
MonotonicityNot monotonic
2024-04-21T19:28:20.830979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20190115 2
 
0.2%
20100803 2
 
0.2%
20091028 2
 
0.2%
20110131 2
 
0.2%
20110211 2
 
0.2%
20110216 2
 
0.2%
20110418 2
 
0.2%
20181112 2
 
0.2%
20170222 2
 
0.2%
Other values (364) 382
32.4%
(Missing) 777
65.8%
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 (%)
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%
20210726 1
0.1%
20210712 2
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1180
Missing (%)100.0%
Memory size10.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1180
Missing (%)100.0%
Memory size10.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1180
Missing (%)100.0%
Memory size10.5 KiB

소재지전화
Text

MISSING 

Distinct947
Distinct (%)94.4%
Missing177
Missing (%)15.0%
Memory size9.3 KiB
2024-04-21T19:28:21.591944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.291127
Min length7

Characters and Unicode

Total characters11325
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

Unique899 ?
Unique (%)89.6%

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%
051-623-7778 3
 
0.3%
051-647-5766 3
 
0.3%
051-816-4500 3
 
0.3%
261-6700 3
 
0.3%
051-625-8471 3
 
0.3%
051-337-7111 3
 
0.3%
051-312-2809 2
 
0.2%
051-208-5424 2
 
0.2%
051-315-1003 2
 
0.2%
Other values (937) 975
97.2%
2024-04-21T19:28:22.573790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1765
15.6%
0 1719
15.2%
5 1579
13.9%
1 1565
13.8%
2 854
7.5%
8 703
 
6.2%
6 697
 
6.2%
3 694
 
6.1%
7 691
 
6.1%
4 628
 
5.5%
Other values (4) 430
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9517
84.0%
Dash Punctuation 1765
 
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 1719
18.1%
5 1579
16.6%
1 1565
16.4%
2 854
9.0%
8 703
7.4%
6 697
7.3%
3 694
7.3%
7 691
7.3%
4 628
 
6.6%
9 387
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1765
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 11325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1765
15.6%
0 1719
15.2%
5 1579
13.9%
1 1565
13.8%
2 854
7.5%
8 703
 
6.2%
6 697
 
6.2%
3 694
 
6.1%
7 691
 
6.1%
4 628
 
5.5%
Other values (4) 430
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1765
15.6%
0 1719
15.2%
5 1579
13.9%
1 1565
13.8%
2 854
7.5%
8 703
 
6.2%
6 697
 
6.2%
3 694
 
6.1%
7 691
 
6.1%
4 628
 
5.5%
Other values (4) 430
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1180
Missing (%)100.0%
Memory size10.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)50.1%
Missing501
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean608185.86
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:22.809794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48272
5-th percentile601812
Q1607834
median609840
Q3614056.5
95-th percentile617800.6
Maximum619963
Range571691
Interquartile range (IQR)6222.5

Descriptive statistics

Standard deviation37589.673
Coefficient of variation (CV)0.061806226
Kurtosis216.22454
Mean608185.86
Median Absolute Deviation (MAD)3967
Skewness-14.637753
Sum4.129582 × 108
Variance1.4129835 × 109
MonotonicityNot monotonic
2024-04-21T19:28:23.048039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 33
 
2.8%
614845 8
 
0.7%
609834 8
 
0.7%
616852 7
 
0.6%
608805 7
 
0.6%
609800 7
 
0.6%
611089 7
 
0.6%
614030 7
 
0.6%
609822 7
 
0.6%
611082 6
 
0.5%
Other values (330) 582
49.3%
(Missing) 501
42.5%
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 

Distinct1026
Distinct (%)95.2%
Missing102
Missing (%)8.6%
Memory size9.3 KiB
2024-04-21T19:28:24.313525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.182746
Min length3

Characters and Unicode

Total characters26069
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

Unique980 ?
Unique (%)90.9%

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 1049
 
19.2%
금정구 169
 
3.1%
부산진구 142
 
2.6%
1호 123
 
2.3%
남구 106
 
1.9%
사하구 86
 
1.6%
동래구 79
 
1.4%
중구 76
 
1.4%
해운대구 70
 
1.3%
1층 68
 
1.2%
Other values (1389) 3491
63.9%
2024-04-21T19:28:25.841756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4396
 
16.9%
1 1395
 
5.4%
부 1355
 
5.2%
산 1293
 
5.0%
동 1197
 
4.6%
시 1094
 
4.2%
구 1082
 
4.2%
광 1080
 
4.1%
역 1054
 
4.0%
2 916
 
3.5%
Other values (305) 11207
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15529
59.6%
Decimal Number 5691
 
21.8%
Space Separator 4396
 
16.9%
Dash Punctuation 280
 
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 1355
 
8.7%
산 1293
 
8.3%
동 1197
 
7.7%
시 1094
 
7.0%
구 1082
 
7.0%
광 1080
 
7.0%
역 1054
 
6.8%
지 835
 
5.4%
호 796
 
5.1%
번 783
 
5.0%
Other values (271) 4960
31.9%
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%
U 4
 
6.3%
Y 4
 
6.3%
G 2
 
3.2%
Other values (3) 4
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 1395
24.5%
2 916
16.1%
3 638
11.2%
4 544
 
9.6%
5 470
 
8.3%
0 395
 
6.9%
6 360
 
6.3%
7 345
 
6.1%
8 322
 
5.7%
9 306
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 36
81.8%
. 5
 
11.4%
@ 2
 
4.5%
/ 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
4396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 280
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 15529
59.6%
Common 10475
40.2%
Latin 65
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1355
 
8.7%
산 1293
 
8.3%
동 1197
 
7.7%
시 1094
 
7.0%
구 1082
 
7.0%
광 1080
 
7.0%
역 1054
 
6.8%
지 835
 
5.4%
호 796
 
5.1%
번 783
 
5.0%
Other values (271) 4960
31.9%
Common
ValueCountFrequency (%)
4396
42.0%
1 1395
 
13.3%
2 916
 
8.7%
3 638
 
6.1%
4 544
 
5.2%
5 470
 
4.5%
0 395
 
3.8%
6 360
 
3.4%
7 345
 
3.3%
8 322
 
3.1%
Other values (9) 694
 
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%
U 4
 
6.2%
Y 4
 
6.2%
G 2
 
3.1%
Other values (5) 6
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15529
59.6%
ASCII 10540
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4396
41.7%
1 1395
 
13.2%
2 916
 
8.7%
3 638
 
6.1%
4 544
 
5.2%
5 470
 
4.5%
0 395
 
3.7%
6 360
 
3.4%
7 345
 
3.3%
8 322
 
3.1%
Other values (24) 759
 
7.2%
Hangul
ValueCountFrequency (%)
부 1355
 
8.7%
산 1293
 
8.3%
동 1197
 
7.7%
시 1094
 
7.0%
구 1082
 
7.0%
광 1080
 
7.0%
역 1054
 
6.8%
지 835
 
5.4%
호 796
 
5.1%
번 783
 
5.0%
Other values (271) 4960
31.9%

도로명전체주소
Text

MISSING 

Distinct1022
Distinct (%)93.1%
Missing82
Missing (%)6.9%
Memory size9.3 KiB
2024-04-21T19:28:27.008432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49.5
Mean length28.081967
Min length20

Characters and Unicode

Total characters30834
Distinct characters357
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

Unique960 ?
Unique (%)87.4%

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 1099
 
17.8%
1층 173
 
2.8%
금정구 153
 
2.5%
부산진구 141
 
2.3%
해운대구 99
 
1.6%
남구 92
 
1.5%
사하구 89
 
1.4%
동래구 87
 
1.4%
중구 76
 
1.2%
부전동 70
 
1.1%
Other values (1352) 4108
66.4%
2024-04-21T19:28:28.425984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5093
 
16.5%
부 1397
 
4.5%
동 1390
 
4.5%
산 1343
 
4.4%
시 1184
 
3.8%
광 1181
 
3.8%
구 1133
 
3.7%
역 1103
 
3.6%
1 1100
 
3.6%
( 1084
 
3.5%
Other values (347) 14826
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18439
59.8%
Space Separator 5093
 
16.5%
Decimal Number 4342
 
14.1%
Open Punctuation 1084
 
3.5%
Close Punctuation 1084
 
3.5%
Other Punctuation 543
 
1.8%
Dash Punctuation 166
 
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 1397
 
7.6%
동 1390
 
7.5%
산 1343
 
7.3%
시 1184
 
6.4%
광 1181
 
6.4%
구 1133
 
6.1%
역 1103
 
6.0%
로 1081
 
5.9%
대 582
 
3.2%
층 266
 
1.4%
Other values (312) 7779
42.2%
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%
Y 4
 
5.6%
U 4
 
5.6%
G 4
 
5.6%
E 3
 
4.2%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1100
25.3%
2 658
15.2%
3 408
 
9.4%
0 379
 
8.7%
4 367
 
8.5%
7 318
 
7.3%
5 316
 
7.3%
6 301
 
6.9%
9 256
 
5.9%
8 239
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
b 1
20.0%
h 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 539
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
5093
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1084
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18439
59.8%
Common 12319
40.0%
Latin 76
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1397
 
7.6%
동 1390
 
7.5%
산 1343
 
7.3%
시 1184
 
6.4%
광 1181
 
6.4%
구 1133
 
6.1%
역 1103
 
6.0%
로 1081
 
5.9%
대 582
 
3.2%
층 266
 
1.4%
Other values (312) 7779
42.2%
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%
Y 4
 
5.3%
U 4
 
5.3%
G 4
 
5.3%
E 3
 
3.9%
Other values (8) 9
11.8%
Common
ValueCountFrequency (%)
5093
41.3%
1 1100
 
8.9%
( 1084
 
8.8%
) 1084
 
8.8%
2 658
 
5.3%
, 539
 
4.4%
3 408
 
3.3%
0 379
 
3.1%
4 367
 
3.0%
7 318
 
2.6%
Other values (7) 1289
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18439
59.8%
ASCII 12395
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5093
41.1%
1 1100
 
8.9%
( 1084
 
8.7%
) 1084
 
8.7%
2 658
 
5.3%
, 539
 
4.3%
3 408
 
3.3%
0 379
 
3.1%
4 367
 
3.0%
7 318
 
2.6%
Other values (25) 1365
 
11.0%
Hangul
ValueCountFrequency (%)
부 1397
 
7.6%
동 1390
 
7.5%
산 1343
 
7.3%
시 1184
 
6.4%
광 1181
 
6.4%
구 1133
 
6.1%
역 1103
 
6.0%
로 1081
 
5.9%
대 582
 
3.2%
층 266
 
1.4%
Other values (312) 7779
42.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct538
Distinct (%)58.2%
Missing256
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean83242.699
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:28.662184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147130.75
median47860.5
Q348945
95-th percentile608802.75
Maximum619963
Range573959
Interquartile range (IQR)1814.25

Descriptive statistics

Standard deviation137002.48
Coefficient of variation (CV)1.6458198
Kurtosis11.068217
Mean83242.699
Median Absolute Deviation (MAD)871
Skewness3.6113681
Sum76916254
Variance1.876968 × 1010
MonotonicityNot monotonic
2024-04-21T19:28:28.898770image/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 8
 
0.7%
48095 7
 
0.6%
46726 7
 
0.6%
47289 7
 
0.6%
Other values (528) 823
69.7%
(Missing) 256
 
21.7%
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

Distinct931
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-04-21T19:28:29.676454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.8059322
Min length2

Characters and Unicode

Total characters8031
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

Unique814 ?
Unique (%)69.0%

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%
세컨페이스 11
 
0.7%
다비치안경 10
 
0.7%
Other values (929) 1242
83.7%
2024-04-21T19:28:30.692779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1073
 
13.4%
경 1071
 
13.3%
원 405
 
5.0%
303
 
3.8%
점 277
 
3.4%
이 264
 
3.3%
아 211
 
2.6%
스 186
 
2.3%
리 127
 
1.6%
0 94
 
1.2%
Other values (403) 4020
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7237
90.1%
Space Separator 303
 
3.8%
Decimal Number 190
 
2.4%
Uppercase Letter 85
 
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 1073
 
14.8%
경 1071
 
14.8%
원 405
 
5.6%
점 277
 
3.8%
이 264
 
3.6%
아 211
 
2.9%
스 186
 
2.6%
리 127
 
1.8%
트 87
 
1.2%
비 80
 
1.1%
Other values (345) 3456
47.8%
Uppercase Letter
ValueCountFrequency (%)
O 13
15.3%
E 8
 
9.4%
S 7
 
8.2%
L 6
 
7.1%
G 5
 
5.9%
K 5
 
5.9%
M 4
 
4.7%
C 4
 
4.7%
N 4
 
4.7%
I 4
 
4.7%
Other values (12) 25
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 10
14.3%
c 7
10.0%
n 7
10.0%
a 7
10.0%
i 6
8.6%
o 6
8.6%
l 5
7.1%
t 5
7.1%
p 3
 
4.3%
s 3
 
4.3%
Other values (8) 11
15.7%
Decimal Number
ValueCountFrequency (%)
0 94
49.5%
1 44
23.2%
8 23
 
12.1%
5 20
 
10.5%
2 5
 
2.6%
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 (%)
303
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 7237
90.1%
Common 638
 
7.9%
Latin 155
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1073
 
14.8%
경 1071
 
14.8%
원 405
 
5.6%
점 277
 
3.8%
이 264
 
3.6%
아 211
 
2.9%
스 186
 
2.6%
리 127
 
1.8%
트 87
 
1.2%
비 80
 
1.1%
Other values (345) 3456
47.8%
Latin
ValueCountFrequency (%)
O 13
 
8.4%
e 10
 
6.5%
E 8
 
5.2%
S 7
 
4.5%
c 7
 
4.5%
n 7
 
4.5%
a 7
 
4.5%
L 6
 
3.9%
i 6
 
3.9%
o 6
 
3.9%
Other values (30) 78
50.3%
Common
ValueCountFrequency (%)
303
47.5%
0 94
 
14.7%
) 59
 
9.2%
( 59
 
9.2%
1 44
 
6.9%
8 23
 
3.6%
5 20
 
3.1%
. 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 7236
90.1%
ASCII 788
 
9.8%
None 5
 
0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1073
 
14.8%
경 1071
 
14.8%
원 405
 
5.6%
점 277
 
3.8%
이 264
 
3.6%
아 211
 
2.9%
스 186
 
2.6%
리 127
 
1.8%
트 87
 
1.2%
비 80
 
1.1%
Other values (344) 3455
47.7%
ASCII
ValueCountFrequency (%)
303
38.5%
0 94
 
11.9%
) 59
 
7.5%
( 59
 
7.5%
1 44
 
5.6%
8 23
 
2.9%
5 20
 
2.5%
O 13
 
1.6%
. 13
 
1.6%
e 10
 
1.3%
Other values (45) 150
19.0%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1154
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0149674 × 1013
Minimum2.008112 × 1013
Maximum2.021113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:30.937585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120411 × 1013
median2.015052 × 1013
Q32.018105 × 1013
95-th percentile2.0210622 × 1013
Maximum2.021113 × 1013
Range1.3001002 × 1011
Interquartile range (IQR)6.0639012 × 1010

Descriptive statistics

Standard deviation3.921798 × 1010
Coefficient of variation (CV)0.0019463332
Kurtosis-1.1536272
Mean2.0149674 × 1013
Median Absolute Deviation (MAD)3.0304931 × 1010
Skewness-0.030296083
Sum2.3776615 × 1016
Variance1.5380499 × 1021
MonotonicityNot monotonic
2024-04-21T19:28:31.211538image/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%
20090209150211 1
 
0.1%
20090209151721 1
 
0.1%
20090209151337 1
 
0.1%
20090209151001 1
 
0.1%
20090209150705 1
 
0.1%
20090209150435 1
 
0.1%
Other values (1144) 1144
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 (%)
20211130160601 1
0.1%
20211130102153 1
0.1%
20211126111401 1
0.1%
20211123095606 1
0.1%
20211116145430 1
0.1%
20211116134351 1
0.1%
20211116103810 1
0.1%
20211105130604 1
0.1%
20211102145757 1
0.1%
20211027113825 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
I
940 
U
240 

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 940
79.7%
U 240
 
20.3%

Length

2024-04-21T19:28:31.452806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:31.614758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 940
79.7%
u 240
 
20.3%

데이터갱신일자
Date

Distinct274
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-12-02 02:40:00
2024-04-21T19:28:31.809109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:28:32.059335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1180
Missing (%)100.0%
Memory size10.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct941
Distinct (%)85.6%
Missing81
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean388072.63
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:32.301790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379709.74
Q1384875.02
median388524.94
Q3391239.51
95-th percentile397358.6
Maximum403236.19
Range36128.006
Interquartile range (IQR)6364.4852

Descriptive statistics

Standard deviation5238.6262
Coefficient of variation (CV)0.013499087
Kurtosis0.43822565
Mean388072.63
Median Absolute Deviation (MAD)3223.2568
Skewness-0.014476096
Sum4.2649182 × 108
Variance27443205
MonotonicityNot monotonic
2024-04-21T19:28:32.773492image/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 (931) 1048
88.8%
(Missing) 81
 
6.9%
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 

Distinct942
Distinct (%)85.7%
Missing81
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean187325.38
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:33.027987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178701.79
Q1183544.39
median187065.66
Q3191776.23
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8231.8393

Descriptive statistics

Standard deviation5848.2705
Coefficient of variation (CV)0.031219851
Kurtosis-0.15309433
Mean187325.38
Median Absolute Deviation (MAD)4358.7914
Skewness0.19083903
Sum2.0587059 × 108
Variance34202268
MonotonicityNot monotonic
2024-04-21T19:28:33.273481image/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 (932) 1048
88.8%
(Missing) 81
 
6.9%
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
966 
0
173 
2
 
34
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0127119
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 966
81.9%
0 173
 
14.7%
2 34
 
2.9%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:28:33.520040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:33.708123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 966
81.9%
0 173
 
14.7%
2 34
 
2.9%
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
198 
<NA>
 
37
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.0957627
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 905
76.7%
0 198
 
16.8%
<NA> 37
 
3.1%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:28:33.910671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:34.100888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
76.7%
0 198
 
16.8%
na 37
 
3.1%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing45
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean0.88986784
Minimum0
Maximum11
Zeros199
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:34.279107image/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 deviation0.58435925
Coefficient of variation (CV)0.65668094
Kurtosis82.776278
Mean0.88986784
Median Absolute Deviation (MAD)0
Skewness5.0931142
Sum1010
Variance0.34147573
MonotonicityNot monotonic
2024-04-21T19:28:34.457316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
74.9%
0 199
 
16.9%
2 43
 
3.6%
3 4
 
0.3%
4 3
 
0.3%
5 1
 
0.1%
11 1
 
0.1%
(Missing) 45
 
3.8%
ValueCountFrequency (%)
0 199
 
16.9%
1 884
74.9%
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
74.9%
0 199
 
16.9%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.92340426
Minimum0
Maximum10
Zeros175
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:34.642118image/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 deviation0.59748649
Coefficient of variation (CV)0.64704758
Kurtosis55.805444
Mean0.92340426
Median Absolute Deviation (MAD)0
Skewness4.5876237
Sum1085
Variance0.3569901
MonotonicityNot monotonic
2024-04-21T19:28:34.824761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 952
80.7%
0 175
 
14.8%
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 (%)
0 175
 
14.8%
1 952
80.7%
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%
1 952
80.7%
0 175
 
14.8%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
859 
0
173 
2
105 
3
 
29
4
 
7

Length

Max length4
Median length1
Mean length1.0177966
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 859
72.8%
0 173
 
14.7%
2 105
 
8.9%
3 29
 
2.5%
4 7
 
0.6%
<NA> 7
 
0.6%

Length

2024-04-21T19:28:35.038727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:35.232391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 859
72.8%
0 173
 
14.7%
2 105
 
8.9%
3 29
 
2.5%
4 7
 
0.6%
na 7
 
0.6%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
902 
0
201 
<NA>
 
49
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1245763
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 902
76.4%
0 201
 
17.0%
<NA> 49
 
4.2%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:28:35.443666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:35.648285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 902
76.4%
0 201
 
17.0%
na 49
 
4.2%
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
202 
<NA>
 
47
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1194915
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 911
77.2%
0 202
 
17.1%
<NA> 47
 
4.0%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:28:36.023884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:36.355610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
77.2%
0 202
 
17.1%
na 47
 
4.0%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing49
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.93810787
Minimum0
Maximum5
Zeros200
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:36.666781image/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 deviation0.57504717
Coefficient of variation (CV)0.61298619
Kurtosis5.7653413
Mean0.93810787
Median Absolute Deviation (MAD)0
Skewness0.92145744
Sum1061
Variance0.33067925
MonotonicityNot monotonic
2024-04-21T19:28:37.006577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
69.3%
0 200
 
16.9%
2 101
 
8.6%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 49
 
4.2%
ValueCountFrequency (%)
0 200
 
16.9%
1 818
69.3%
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
69.3%
0 200
 
16.9%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing48
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean0.97173145
Minimum0
Maximum5
Zeros199
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:37.333985image/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 deviation0.6145131
Coefficient of variation (CV)0.63238985
Kurtosis3.6213333
Mean0.97173145
Median Absolute Deviation (MAD)0
Skewness0.86355942
Sum1100
Variance0.37762635
MonotonicityNot monotonic
2024-04-21T19:28:37.672776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
67.1%
0 199
 
16.9%
2 119
 
10.1%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 48
 
4.1%
ValueCountFrequency (%)
0 199
 
16.9%
1 792
67.1%
2 119
 
10.1%
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
 
10.1%
1 792
67.1%
0 199
 
16.9%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct500
Distinct (%)74.4%
Missing508
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean76.746488
Minimum0
Maximum723.02
Zeros73
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:28:38.040921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median59.2
Q399
95-th percentile213.45
Maximum723.02
Range723.02
Interquartile range (IQR)66

Descriptive statistics

Standard deviation73.184259
Coefficient of variation (CV)0.95358446
Kurtosis17.57803
Mean76.746488
Median Absolute Deviation (MAD)31.21
Skewness2.9758889
Sum51573.64
Variance5355.9357
MonotonicityNot monotonic
2024-04-21T19:28:38.382674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 73
 
6.2%
33.0 10
 
0.8%
49.5 5
 
0.4%
66.0 5
 
0.4%
46.2 4
 
0.3%
57.6 4
 
0.3%
56.0 4
 
0.3%
60.0 4
 
0.3%
92.4 3
 
0.3%
24.0 3
 
0.3%
Other values (490) 557
47.2%
(Missing) 508
43.1%
ValueCountFrequency (%)
0.0 73
6.2%
1.0 1
 
0.1%
2.0 1
 
0.1%
5.56 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%
12.25 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 

Missing1180
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
11701171안경업01_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>
11711172안경업01_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>
11721173안경업01_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>
11731174안경업01_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>
11741175안경업01_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>
11751176안경업01_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>
11761177안경업01_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>
11771178안경업01_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>
11781179안경업01_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>
11791180안경업01_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>