Overview

Dataset statistics

Number of variables39
Number of observations1184
Missing cells11004
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory393.2 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2022-02-01
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 (64.0%)Imbalance
표본렌즈수 is highly imbalanced (58.3%)Imbalance
정점굴절계기수 is highly imbalanced (51.1%)Imbalance
조제용연마기수 is highly imbalanced (54.4%)Imbalance
렌즈절단기수 is highly imbalanced (56.2%)Imbalance
인허가취소일자 has 1184 (100.0%) missing valuesMissing
폐업일자 has 779 (65.8%) missing valuesMissing
휴업시작일자 has 1184 (100.0%) missing valuesMissing
휴업종료일자 has 1184 (100.0%) missing valuesMissing
재개업일자 has 1184 (100.0%) missing valuesMissing
소재지전화 has 179 (15.1%) missing valuesMissing
소재지면적 has 1184 (100.0%) missing valuesMissing
소재지우편번호 has 506 (42.7%) 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 1184 (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 (4.1%) missing valuesMissing
안경세척기수 has 47 (4.0%) missing valuesMissing
총면적 has 505 (42.7%) missing valuesMissing
Unnamed: 38 has 1184 (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 204 (17.2%) zerosZeros
동공거리측정기수 has 174 (14.7%) zerosZeros
가열기수 has 205 (17.3%) zerosZeros
안경세척기수 has 204 (17.2%) zerosZeros
총면적 has 75 (6.3%) zerosZeros

Reproduction

Analysis started2024-04-21 10:30:30.141825
Analysis finished2024-04-21 10:30:31.667438
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean592.5
Minimum1
Maximum1184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:31.795381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.15
Q1296.75
median592.5
Q3888.25
95-th percentile1124.85
Maximum1184
Range1183
Interquartile range (IQR)591.5

Descriptive statistics

Standard deviation341.93567
Coefficient of variation (CV)0.57710661
Kurtosis-1.2
Mean592.5
Median Absolute Deviation (MAD)296
Skewness0
Sum701520
Variance116920
MonotonicityStrictly increasing
2024-04-21T19:30:32.044956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
797 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%
788 1
 
0.1%
Other values (1174) 1174
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 (%)
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%
1176 1
0.1%
1175 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
안경업
1184 

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 1184
100.0%

Length

2024-04-21T19:30:32.278806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:32.435733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1184
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
01_02_01_P
1184 

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 1184
100.0%

Length

2024-04-21T19:30:32.600705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:32.757333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1184
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325135.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:32.908829image/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 deviation39910.915
Coefficient of variation (CV)0.012002795
Kurtosis-0.74544938
Mean3325135.1
Median Absolute Deviation (MAD)30000
Skewness-0.051597342
Sum3.93696 × 109
Variance1.5928811 × 109
MonotonicityIncreasing
2024-04-21T19:30:33.115915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 176
14.9%
3290000 147
12.4%
3310000 115
9.7%
3330000 100
8.4%
3340000 93
7.9%
3300000 90
7.6%
3250000 80
6.8%
3390000 69
 
5.8%
3320000 65
 
5.5%
3370000 65
 
5.5%
Other values (6) 184
15.5%
ValueCountFrequency (%)
3250000 80
6.8%
3260000 23
 
1.9%
3270000 28
 
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
7.9%
ValueCountFrequency (%)
3400000 35
 
3.0%
3390000 69
 
5.8%
3380000 52
 
4.4%
3370000 65
 
5.5%
3360000 19
 
1.6%
3350000 176
14.9%
3340000 93
7.9%
3330000 100
8.4%
3320000 65
 
5.5%
3310000 115
9.7%

관리번호
Text

UNIQUE 

Distinct1184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-04-21T19:30:33.750645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29600
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

Unique1184 ?
Unique (%)100.0%

Sample

1st rowPHMB220183250021082200001
2nd rowPHMB220103250021082200001
3rd rowPHMB219933250021082200001
4th rowPHMB220103250021082200006
5th rowPHMB220143250021082200001
ValueCountFrequency (%)
phmb220183250021082200001 1
 
0.1%
phmb219933350024082200002 1
 
0.1%
phmb219923350024082200003 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%
Other values (1174) 1174
99.2%
2024-04-21T19:30:34.597142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9679
32.7%
2 6348
21.4%
3 2594
 
8.8%
1 1626
 
5.5%
8 1518
 
5.1%
P 1184
 
4.0%
H 1184
 
4.0%
M 1184
 
4.0%
B 1184
 
4.0%
4 1055
 
3.6%
Other values (4) 2044
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24864
84.0%
Uppercase Letter 4736
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9679
38.9%
2 6348
25.5%
3 2594
 
10.4%
1 1626
 
6.5%
8 1518
 
6.1%
4 1055
 
4.2%
9 979
 
3.9%
5 594
 
2.4%
7 254
 
1.0%
6 217
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1184
25.0%
H 1184
25.0%
M 1184
25.0%
B 1184
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24864
84.0%
Latin 4736
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9679
38.9%
2 6348
25.5%
3 2594
 
10.4%
1 1626
 
6.5%
8 1518
 
6.1%
4 1055
 
4.2%
9 979
 
3.9%
5 594
 
2.4%
7 254
 
1.0%
6 217
 
0.9%
Latin
ValueCountFrequency (%)
P 1184
25.0%
H 1184
25.0%
M 1184
25.0%
B 1184
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9679
32.7%
2 6348
21.4%
3 2594
 
8.8%
1 1626
 
5.5%
8 1518
 
5.1%
P 1184
 
4.0%
H 1184
 
4.0%
M 1184
 
4.0%
B 1184
 
4.0%
4 1055
 
3.6%
Other values (4) 2044
 
6.9%

인허가일자
Real number (ℝ)

Distinct1085
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20042031
Minimum19710518
Maximum20211227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:34.856255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850615
Q119960418
median20060330
Q320130936
95-th percentile20200720
Maximum20211227
Range500709
Interquartile range (IQR)170518.75

Descriptive statistics

Standard deviation110605.33
Coefficient of variation (CV)0.0055186687
Kurtosis-0.75931657
Mean20042031
Median Absolute Deviation (MAD)80789.5
Skewness-0.40237861
Sum2.3729764 × 1010
Variance1.2233539 × 1010
MonotonicityNot monotonic
2024-04-21T19:30:35.143776image/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%
20121213 2
 
0.2%
19871230 2
 
0.2%
19910724 2
 
0.2%
20020326 2
 
0.2%
20140416 2
 
0.2%
20001004 2
 
0.2%
Other values (1075) 1149
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 (%)
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%
20211020 1
0.1%
20211007 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1184
Missing (%)100.0%
Memory size10.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
759 
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 (%)
1 759
64.1%
3 417
35.2%
4 8
 
0.7%

Length

2024-04-21T19:30:35.372386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:35.543074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 759
64.1%
3 417
35.2%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업/정상
759 
폐업
417 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.004223
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 759
64.1%
폐업 417
35.2%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:30:35.739977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:35.918084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 759
64.1%
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
759 
3
417 
24
 
8

Length

Max length2
Median length2
Mean length1.6478041
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 759
64.1%
3 417
35.2%
24 8
 
0.7%

Length

2024-04-21T19:30:36.103853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:36.273663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 759
64.1%
3 417
35.2%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업중
759 
폐업
417 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6545608
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 759
64.1%
폐업 417
35.2%
직권폐업 8
 
0.7%

Length

2024-04-21T19:30:36.478097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:36.671878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 759
64.1%
폐업 417
35.2%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct376
Distinct (%)92.8%
Missing779
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean20104572
Minimum19851128
Maximum20211230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:36.880212image/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
2024-04-21T19:30:37.143706image/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) 779
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 (%)
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 

Missing1184
Missing (%)100.0%
Memory size10.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1184
Missing (%)100.0%
Memory size10.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1184
Missing (%)100.0%
Memory size10.5 KiB

소재지전화
Text

MISSING 

Distinct949
Distinct (%)94.4%
Missing179
Missing (%)15.1%
Memory size9.4 KiB
2024-04-21T19:30:37.902870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.292537
Min length7

Characters and Unicode

Total characters11349
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

Unique901 ?
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%
051-816-4500 3
 
0.3%
261-6700 3
 
0.3%
051-337-7111 3
 
0.3%
051-623-7778 3
 
0.3%
051-625-8471 3
 
0.3%
051-361-1335 2
 
0.2%
051-322-2809 2
 
0.2%
051-818-9938 2
 
0.2%
Other values (939) 977
97.2%
2024-04-21T19:30:38.906320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1769
15.6%
0 1722
15.2%
5 1582
13.9%
1 1572
13.9%
2 858
7.6%
8 703
 
6.2%
6 697
 
6.1%
3 694
 
6.1%
7 691
 
6.1%
4 629
 
5.5%
Other values (4) 432
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9537
84.0%
Dash Punctuation 1769
 
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 1722
18.1%
5 1582
16.6%
1 1572
16.5%
2 858
9.0%
8 703
7.4%
6 697
7.3%
3 694
7.3%
7 691
7.2%
4 629
 
6.6%
9 389
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1769
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 11349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1769
15.6%
0 1722
15.2%
5 1582
13.9%
1 1572
13.9%
2 858
7.6%
8 703
 
6.2%
6 697
 
6.1%
3 694
 
6.1%
7 691
 
6.1%
4 629
 
5.5%
Other values (4) 432
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1769
15.6%
0 1722
15.2%
5 1582
13.9%
1 1572
13.9%
2 858
7.6%
8 703
 
6.2%
6 697
 
6.1%
3 694
 
6.1%
7 691
 
6.1%
4 629
 
5.5%
Other values (4) 432
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1184
Missing (%)100.0%
Memory size10.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)50.1%
Missing506
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean608173.13
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:39.147660image/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
2024-04-21T19:30:39.578709image/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
49.1%
(Missing) 506
42.7%
ValueCountFrequency (%)
48272 1
 
0.1%
48296 1
 
0.1%
49247 1
 
0.1%
600016 1
 
0.1%
600017 1
 
0.1%
600031 2
0.2%
600032 3
0.3%
600042 1
 
0.1%
600045 1
 
0.1%
600052 1
 
0.1%
ValueCountFrequency (%)
619963 6
0.5%
619961 1
 
0.1%
619912 2
 
0.2%
619905 5
0.4%
619903 4
0.3%
618814 2
 
0.2%
618807 1
 
0.1%
617846 2
 
0.2%
617833 1
 
0.1%
617830 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1029
Distinct (%)95.2%
Missing103
Missing (%)8.7%
Memory size9.4 KiB
2024-04-21T19:30:40.891653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.172988
Min length3

Characters and Unicode

Total characters26131
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

Unique983 ?
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 1052
 
19.2%
금정구 170
 
3.1%
부산진구 142
 
2.6%
1호 123
 
2.2%
남구 106
 
1.9%
사하구 86
 
1.6%
동래구 81
 
1.5%
중구 76
 
1.4%
해운대구 70
 
1.3%
1층 68
 
1.2%
Other values (1394) 3498
63.9%
2024-04-21T19:30:42.467320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4406
 
16.9%
1 1396
 
5.3%
부 1358
 
5.2%
산 1296
 
5.0%
동 1203
 
4.6%
시 1097
 
4.2%
구 1085
 
4.2%
광 1083
 
4.1%
역 1057
 
4.0%
2 918
 
3.5%
Other values (305) 11232
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15563
59.6%
Decimal Number 5704
 
21.8%
Space Separator 4406
 
16.9%
Dash Punctuation 285
 
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 1358
 
8.7%
산 1296
 
8.3%
동 1203
 
7.7%
시 1097
 
7.0%
구 1085
 
7.0%
광 1083
 
7.0%
역 1057
 
6.8%
지 835
 
5.4%
호 795
 
5.1%
번 782
 
5.0%
Other values (271) 4972
31.9%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
K 10
15.9%
B 7
11.1%
A 6
9.5%
H 5
7.9%
C 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
24.5%
2 918
16.1%
3 641
11.2%
4 544
 
9.5%
5 471
 
8.3%
0 393
 
6.9%
6 362
 
6.3%
7 347
 
6.1%
8 323
 
5.7%
9 309
 
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 (%)
4406
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 285
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 15563
59.6%
Common 10503
40.2%
Latin 65
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1358
 
8.7%
산 1296
 
8.3%
동 1203
 
7.7%
시 1097
 
7.0%
구 1085
 
7.0%
광 1083
 
7.0%
역 1057
 
6.8%
지 835
 
5.4%
호 795
 
5.1%
번 782
 
5.0%
Other values (271) 4972
31.9%
Common
ValueCountFrequency (%)
4406
41.9%
1 1396
 
13.3%
2 918
 
8.7%
3 641
 
6.1%
4 544
 
5.2%
5 471
 
4.5%
0 393
 
3.7%
6 362
 
3.4%
7 347
 
3.3%
8 323
 
3.1%
Other values (9) 702
 
6.7%
Latin
ValueCountFrequency (%)
S 11
16.9%
K 10
15.4%
B 7
10.8%
A 6
9.2%
H 5
7.7%
C 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 15563
59.6%
ASCII 10568
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4406
41.7%
1 1396
 
13.2%
2 918
 
8.7%
3 641
 
6.1%
4 544
 
5.1%
5 471
 
4.5%
0 393
 
3.7%
6 362
 
3.4%
7 347
 
3.3%
8 323
 
3.1%
Other values (24) 767
 
7.3%
Hangul
ValueCountFrequency (%)
부 1358
 
8.7%
산 1296
 
8.3%
동 1203
 
7.7%
시 1097
 
7.0%
구 1085
 
7.0%
광 1083
 
7.0%
역 1057
 
6.8%
지 835
 
5.4%
호 795
 
5.1%
번 782
 
5.0%
Other values (271) 4972
31.9%

도로명전체주소
Text

MISSING 

Distinct1027
Distinct (%)93.2%
Missing82
Missing (%)6.9%
Memory size9.4 KiB
2024-04-21T19:30:43.619965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length28.122505
Min length20

Characters and Unicode

Total characters30991
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

Unique966 ?
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 1103
 
17.7%
1층 174
 
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 76
 
1.2%
부전동 70
 
1.1%
Other values (1357) 4132
66.4%
2024-04-21T19:30:45.015571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5121
 
16.5%
부 1403
 
4.5%
동 1396
 
4.5%
산 1348
 
4.3%
시 1188
 
3.8%
광 1185
 
3.8%
구 1138
 
3.7%
역 1107
 
3.6%
1 1101
 
3.6%
( 1088
 
3.5%
Other values (348) 14916
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18536
59.8%
Space Separator 5121
 
16.5%
Decimal Number 4364
 
14.1%
Open Punctuation 1088
 
3.5%
Close Punctuation 1088
 
3.5%
Other Punctuation 546
 
1.8%
Dash Punctuation 165
 
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 1403
 
7.6%
동 1396
 
7.5%
산 1348
 
7.3%
시 1188
 
6.4%
광 1185
 
6.4%
구 1138
 
6.1%
역 1107
 
6.0%
로 1085
 
5.9%
대 581
 
3.1%
층 271
 
1.5%
Other values (313) 7834
42.3%
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 1101
25.2%
2 666
15.3%
3 409
 
9.4%
0 382
 
8.8%
4 370
 
8.5%
5 318
 
7.3%
7 318
 
7.3%
6 302
 
6.9%
9 258
 
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 (%)
, 542
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
5121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1088
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1088
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18536
59.8%
Common 12379
39.9%
Latin 76
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1403
 
7.6%
동 1396
 
7.5%
산 1348
 
7.3%
시 1188
 
6.4%
광 1185
 
6.4%
구 1138
 
6.1%
역 1107
 
6.0%
로 1085
 
5.9%
대 581
 
3.1%
층 271
 
1.5%
Other values (313) 7834
42.3%
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 (%)
5121
41.4%
1 1101
 
8.9%
( 1088
 
8.8%
) 1088
 
8.8%
2 666
 
5.4%
, 542
 
4.4%
3 409
 
3.3%
0 382
 
3.1%
4 370
 
3.0%
5 318
 
2.6%
Other values (7) 1294
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18536
59.8%
ASCII 12455
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5121
41.1%
1 1101
 
8.8%
( 1088
 
8.7%
) 1088
 
8.7%
2 666
 
5.3%
, 542
 
4.4%
3 409
 
3.3%
0 382
 
3.1%
4 370
 
3.0%
5 318
 
2.6%
Other values (25) 1370
 
11.0%
Hangul
ValueCountFrequency (%)
부 1403
 
7.6%
동 1396
 
7.5%
산 1348
 
7.3%
시 1188
 
6.4%
광 1185
 
6.4%
구 1138
 
6.1%
역 1107
 
6.0%
로 1085
 
5.9%
대 581
 
3.1%
층 271
 
1.5%
Other values (313) 7834
42.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct540
Distinct (%)58.2%
Missing256
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean83087.583
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:45.253242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147126.75
median47860.5
Q348945
95-th percentile608799.75
Maximum619963
Range573959
Interquartile range (IQR)1818.25

Descriptive statistics

Standard deviation136726.93
Coefficient of variation (CV)1.645576
Kurtosis11.13697
Mean83087.583
Median Absolute Deviation (MAD)871
Skewness3.6208668
Sum77105277
Variance1.8694255 × 1010
MonotonicityNot monotonic
2024-04-21T19:30:45.491888image/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%
46726 7
 
0.6%
47254 7
 
0.6%
47289 7
 
0.6%
Other values (530) 828
69.9%
(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

Distinct935
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-04-21T19:30:46.260827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.8099662
Min length2

Characters and Unicode

Total characters8063
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

Unique817 ?
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%
갤러리안경원 13
 
0.9%
초이스안경 13
 
0.9%
오렌즈 12
 
0.8%
세컨페이스 11
 
0.7%
으뜸50안경 10
 
0.7%
Other values (932) 1248
83.8%
2024-04-21T19:30:47.274420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1076
 
13.3%
경 1074
 
13.3%
원 403
 
5.0%
305
 
3.8%
점 279
 
3.5%
이 265
 
3.3%
아 212
 
2.6%
스 187
 
2.3%
리 127
 
1.6%
0 96
 
1.2%
Other values (403) 4039
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7263
90.1%
Space Separator 305
 
3.8%
Decimal Number 194
 
2.4%
Uppercase Letter 85
 
1.1%
Lowercase Letter 70
 
0.9%
Open Punctuation 59
 
0.7%
Close 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 1076
 
14.8%
경 1074
 
14.8%
원 403
 
5.5%
점 279
 
3.8%
이 265
 
3.6%
아 212
 
2.9%
스 187
 
2.6%
리 127
 
1.7%
트 87
 
1.2%
러 80
 
1.1%
Other values (345) 3473
47.8%
Uppercase Letter
ValueCountFrequency (%)
O 13
15.3%
E 8
 
9.4%
S 7
 
8.2%
L 6
 
7.1%
K 5
 
5.9%
G 5
 
5.9%
C 4
 
4.7%
N 4
 
4.7%
M 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%
o 6
8.6%
i 6
8.6%
l 5
7.1%
t 5
7.1%
s 3
 
4.3%
p 3
 
4.3%
Other values (8) 11
15.7%
Decimal Number
ValueCountFrequency (%)
0 96
49.5%
1 44
22.7%
8 23
 
11.9%
5 22
 
11.3%
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 (%)
305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7263
90.1%
Common 644
 
8.0%
Latin 155
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1076
 
14.8%
경 1074
 
14.8%
원 403
 
5.5%
점 279
 
3.8%
이 265
 
3.6%
아 212
 
2.9%
스 187
 
2.6%
리 127
 
1.7%
트 87
 
1.2%
러 80
 
1.1%
Other values (345) 3473
47.8%
Latin
ValueCountFrequency (%)
O 13
 
8.4%
e 10
 
6.5%
E 8
 
5.2%
c 7
 
4.5%
n 7
 
4.5%
S 7
 
4.5%
a 7
 
4.5%
o 6
 
3.9%
i 6
 
3.9%
L 6
 
3.9%
Other values (30) 78
50.3%
Common
ValueCountFrequency (%)
305
47.4%
0 96
 
14.9%
( 59
 
9.2%
) 59
 
9.2%
1 44
 
6.8%
8 23
 
3.6%
5 22
 
3.4%
. 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 7262
90.1%
ASCII 794
 
9.8%
None 5
 
0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1076
 
14.8%
경 1074
 
14.8%
원 403
 
5.5%
점 279
 
3.8%
이 265
 
3.6%
아 212
 
2.9%
스 187
 
2.6%
리 127
 
1.7%
트 87
 
1.2%
러 80
 
1.1%
Other values (344) 3472
47.8%
ASCII
ValueCountFrequency (%)
305
38.4%
0 96
 
12.1%
( 59
 
7.4%
) 59
 
7.4%
1 44
 
5.5%
8 23
 
2.9%
5 22
 
2.8%
O 13
 
1.6%
. 13
 
1.6%
e 10
 
1.3%
Other values (45) 150
18.9%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1158
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0150164 × 1013
Minimum2.008112 × 1013
Maximum2.021123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:47.521194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120418 × 1013
median2.0150617 × 1013
Q32.0181206 × 1013
95-th percentile2.0210707 × 1013
Maximum2.021123 × 1013
Range1.3010999 × 1011
Interquartile range (IQR)6.0787738 × 1010

Descriptive statistics

Standard deviation3.953339 × 1010
Coefficient of variation (CV)0.0019619388
Kurtosis-1.1673642
Mean2.0150164 × 1013
Median Absolute Deviation (MAD)3.040193 × 1010
Skewness-0.03480097
Sum2.3857794 × 1016
Variance1.5628889 × 1021
MonotonicityNot monotonic
2024-04-21T19:30:47.792374image/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%
20210726152758 1
 
0.1%
20090209150435 1
 
0.1%
20090209152037 1
 
0.1%
20090209151721 1
 
0.1%
20090209151337 1
 
0.1%
20090209151001 1
 
0.1%
Other values (1148) 1148
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 (%)
20211230131703 1
0.1%
20211227165320 1
0.1%
20211227111236 1
0.1%
20211227100838 1
0.1%
20211223132536 1
0.1%
20211216170943 1
0.1%
20211214164823 1
0.1%
20211208140045 1
0.1%
20211207101046 1
0.1%
20211206162304 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
I
938 
U
246 

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 938
79.2%
U 246
 
20.8%

Length

2024-04-21T19:30:48.031551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:48.197734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 938
79.2%
u 246
 
20.8%

데이터갱신일자
Date

Distinct284
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-01 02:40:00
2024-04-21T19:30:48.388038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:30:48.642395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1184
Missing (%)100.0%
Memory size10.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct946
Distinct (%)85.8%
Missing81
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean388055.27
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:48.885212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379688.59
Q1384875.02
median388522.16
Q3391225.62
95-th percentile397351.46
Maximum403236.19
Range36128.006
Interquartile range (IQR)6350.5966

Descriptive statistics

Standard deviation5257.2674
Coefficient of variation (CV)0.013547728
Kurtosis0.4476911
Mean388055.27
Median Absolute Deviation (MAD)3195.8693
Skewness-0.03178333
Sum4.2802496 × 108
Variance27638860
MonotonicityNot monotonic
2024-04-21T19:30:49.143456image/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 (936) 1052
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 

Distinct947
Distinct (%)85.9%
Missing81
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean187317.52
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:49.395884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178711.53
Q1183540.32
median187065.66
Q3191765.73
95-th percentile196231.24
Maximum206377.97
Range32361.42
Interquartile range (IQR)8225.4129

Descriptive statistics

Standard deviation5849.6089
Coefficient of variation (CV)0.031228306
Kurtosis-0.1584373
Mean187317.52
Median Absolute Deviation (MAD)4358.7914
Skewness0.19008703
Sum2.0661123 × 108
Variance34217924
MonotonicityNot monotonic
2024-04-21T19:30:49.638888image/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 (937) 1052
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
971 
0
172 
2
 
34
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0126689
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 971
82.0%
0 172
 
14.5%
2 34
 
2.9%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:30:49.882169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:50.073187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 971
82.0%
0 172
 
14.5%
2 34
 
2.9%
na 5
 
0.4%
3 2
 
0.2%

표본렌즈수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
905 
0
203 
<NA>
 
36
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.0929054
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 905
76.4%
0 203
 
17.1%
<NA> 36
 
3.0%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:30:50.275440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:50.468576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
76.4%
0 203
 
17.1%
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%
Mean0.88596491
Minimum0
Maximum11
Zeros204
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:50.641652image/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 deviation0.5860355
Coefficient of variation (CV)0.66146582
Kurtosis81.582497
Mean0.88596491
Median Absolute Deviation (MAD)0
Skewness5.0319486
Sum1010
Variance0.34343761
MonotonicityNot monotonic
2024-04-21T19:30:50.821860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
74.7%
0 204
 
17.2%
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 (%)
0 204
 
17.2%
1 884
74.7%
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
74.7%
0 204
 
17.2%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.9245123
Minimum0
Maximum10
Zeros174
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:51.004422image/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 deviation0.59588401
Coefficient of variation (CV)0.64453876
Kurtosis56.198468
Mean0.9245123
Median Absolute Deviation (MAD)0
Skewness4.6065902
Sum1090
Variance0.35507775
MonotonicityNot monotonic
2024-04-21T19:30:51.189669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 957
80.8%
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%
1 957
80.8%
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%
1 957
80.8%
0 174
 
14.7%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
864 
0
172 
2
105 
3
 
29
4
 
7

Length

Max length4
Median length1
Mean length1.0177365
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 864
73.0%
0 172
 
14.5%
2 105
 
8.9%
3 29
 
2.4%
4 7
 
0.6%
<NA> 7
 
0.6%

Length

2024-04-21T19:30:51.402449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:51.598773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 864
73.0%
0 172
 
14.5%
2 105
 
8.9%
3 29
 
2.4%
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
206 
<NA>
 
48
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1216216
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 902
76.2%
0 206
 
17.4%
<NA> 48
 
4.1%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:30:51.807272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:51.995653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 902
76.2%
0 206
 
17.4%
na 48
 
4.1%
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
207 
<NA>
 
46
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1165541
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 911
76.9%
0 207
 
17.5%
<NA> 46
 
3.9%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:30:52.199187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:52.388292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
76.9%
0 207
 
17.5%
na 46
 
3.9%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing48
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean0.93397887
Minimum0
Maximum5
Zeros205
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:52.834190image/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 deviation0.57713283
Coefficient of variation (CV)0.61792921
Kurtosis5.6576879
Mean0.93397887
Median Absolute Deviation (MAD)0
Skewness0.91002954
Sum1061
Variance0.3330823
MonotonicityNot monotonic
2024-04-21T19:30:53.167548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
69.1%
0 205
 
17.3%
2 101
 
8.5%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 48
 
4.1%
ValueCountFrequency (%)
0 205
 
17.3%
1 818
69.1%
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
69.1%
0 205
 
17.3%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing47
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean0.96745822
Minimum0
Maximum5
Zeros204
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:53.495825image/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 deviation0.61652419
Coefficient of variation (CV)0.63726182
Kurtosis3.5571441
Mean0.96745822
Median Absolute Deviation (MAD)0
Skewness0.85493212
Sum1100
Variance0.38010207
MonotonicityNot monotonic
2024-04-21T19:30:53.835514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
66.9%
0 204
 
17.2%
2 119
 
10.1%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 47
 
4.0%
ValueCountFrequency (%)
0 204
 
17.2%
1 792
66.9%
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
66.9%
0 204
 
17.2%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct505
Distinct (%)74.4%
Missing505
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean76.667113
Minimum0
Maximum723.02
Zeros75
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:30:54.205445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median59.4
Q399.05
95-th percentile213.1
Maximum723.02
Range723.02
Interquartile range (IQR)66.05

Descriptive statistics

Standard deviation73.094654
Coefficient of variation (CV)0.95340297
Kurtosis17.484643
Mean76.667113
Median Absolute Deviation (MAD)31.6
Skewness2.9574154
Sum52056.97
Variance5342.8284
MonotonicityNot monotonic
2024-04-21T19:30:54.545474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 75
 
6.3%
33.0 10
 
0.8%
49.5 5
 
0.4%
66.0 5
 
0.4%
60.0 4
 
0.3%
57.6 4
 
0.3%
46.2 4
 
0.3%
56.0 4
 
0.3%
105.6 3
 
0.3%
45.0 3
 
0.3%
Other values (495) 562
47.5%
(Missing) 505
42.7%
ValueCountFrequency (%)
0.0 75
6.3%
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 

Missing1184
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
11741175안경업01_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>
11751176안경업01_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>
11761177안경업01_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>
11771178안경업01_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>
11781179안경업01_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>
11791180안경업01_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>
11801181안경업01_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>
11811182안경업01_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>
11821183안경업01_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>
11831184안경업01_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>