Overview

Dataset statistics

Number of variables39
Number of observations1176
Missing cells10934
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory390.6 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2021-12-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123010

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
시력표수 is highly imbalanced (63.8%)Imbalance
표본렌즈수 is highly imbalanced (58.6%)Imbalance
정점굴절계기수 is highly imbalanced (51.1%)Imbalance
조제용연마기수 is highly imbalanced (54.7%)Imbalance
렌즈절단기수 is highly imbalanced (56.5%)Imbalance
인허가취소일자 has 1176 (100.0%) missing valuesMissing
폐업일자 has 770 (65.5%) missing valuesMissing
휴업시작일자 has 1176 (100.0%) missing valuesMissing
휴업종료일자 has 1176 (100.0%) missing valuesMissing
재개업일자 has 1176 (100.0%) missing valuesMissing
소재지전화 has 176 (15.0%) missing valuesMissing
소재지면적 has 1176 (100.0%) missing valuesMissing
소재지우편번호 has 497 (42.3%) missing valuesMissing
소재지전체주소 has 101 (8.6%) missing valuesMissing
도로명전체주소 has 82 (7.0%) missing valuesMissing
도로명우편번호 has 256 (21.8%) missing valuesMissing
업태구분명 has 1176 (100.0%) missing valuesMissing
좌표정보(x) has 80 (6.8%) missing valuesMissing
좌표정보(y) has 80 (6.8%) missing valuesMissing
측정의자수 has 46 (3.9%) missing valuesMissing
가열기수 has 50 (4.3%) missing valuesMissing
안경세척기수 has 49 (4.2%) missing valuesMissing
총면적 has 510 (43.4%) missing valuesMissing
Unnamed: 38 has 1176 (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 194 (16.5%) zerosZeros
동공거리측정기수 has 175 (14.9%) zerosZeros
가열기수 has 195 (16.6%) zerosZeros
안경세척기수 has 194 (16.5%) zerosZeros
총면적 has 71 (6.0%) zerosZeros

Reproduction

Analysis started2024-04-21 10:32:39.464369
Analysis finished2024-04-21 10:32:40.918654
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean588.5
Minimum1
Maximum1176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:41.105476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.75
Q1294.75
median588.5
Q3882.25
95-th percentile1117.25
Maximum1176
Range1175
Interquartile range (IQR)587.5

Descriptive statistics

Standard deviation339.62627
Coefficient of variation (CV)0.57710495
Kurtosis-1.2
Mean588.5
Median Absolute Deviation (MAD)294
Skewness0
Sum692076
Variance115346
MonotonicityStrictly increasing
2024-04-21T19:32:41.548946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
774 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
786 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
783 1
 
0.1%
Other values (1166) 1166
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1176 1
0.1%
1175 1
0.1%
1174 1
0.1%
1173 1
0.1%
1172 1
0.1%
1171 1
0.1%
1170 1
0.1%
1169 1
0.1%
1168 1
0.1%
1167 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
안경업
1176 

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 1176
100.0%

Length

2024-04-21T19:32:41.963341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:32:42.255152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1176
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
01_02_01_P
1176 

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 1176
100.0%

Length

2024-04-21T19:32:42.564159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:32:42.855244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1176
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325119
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:43.134883image/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 deviation39897.564
Coefficient of variation (CV)0.011998838
Kurtosis-0.74101754
Mean3325119
Median Absolute Deviation (MAD)30000
Skewness-0.051082659
Sum3.91034 × 109
Variance1.5918156 × 109
MonotonicityIncreasing
2024-04-21T19:32:43.519966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 175
14.9%
3290000 146
12.4%
3310000 115
9.8%
3330000 99
8.4%
3340000 93
7.9%
3300000 88
7.5%
3250000 80
6.8%
3390000 68
 
5.8%
3320000 66
 
5.6%
3370000 65
 
5.5%
Other values (6) 181
15.4%
ValueCountFrequency (%)
3250000 80
6.8%
3260000 22
 
1.9%
3270000 28
 
2.4%
3280000 27
 
2.3%
3290000 146
12.4%
3300000 88
7.5%
3310000 115
9.8%
3320000 66
5.6%
3330000 99
8.4%
3340000 93
7.9%
ValueCountFrequency (%)
3400000 35
 
3.0%
3390000 68
 
5.8%
3380000 52
 
4.4%
3370000 65
 
5.5%
3360000 17
 
1.4%
3350000 175
14.9%
3340000 93
7.9%
3330000 99
8.4%
3320000 66
 
5.6%
3310000 115
9.8%

관리번호
Text

UNIQUE 

Distinct1176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-04-21T19:32:44.255335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29400
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

Unique1176 ?
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 (1166) 1166
99.1%
2024-04-21T19:32:45.370579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9612
32.7%
2 6293
21.4%
3 2576
 
8.8%
1 1618
 
5.5%
8 1512
 
5.1%
P 1176
 
4.0%
H 1176
 
4.0%
M 1176
 
4.0%
B 1176
 
4.0%
4 1048
 
3.6%
Other values (4) 2037
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24696
84.0%
Uppercase Letter 4704
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9612
38.9%
2 6293
25.5%
3 2576
 
10.4%
1 1618
 
6.6%
8 1512
 
6.1%
4 1048
 
4.2%
9 978
 
4.0%
5 594
 
2.4%
7 253
 
1.0%
6 212
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1176
25.0%
H 1176
25.0%
M 1176
25.0%
B 1176
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24696
84.0%
Latin 4704
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9612
38.9%
2 6293
25.5%
3 2576
 
10.4%
1 1618
 
6.6%
8 1512
 
6.1%
4 1048
 
4.2%
9 978
 
4.0%
5 594
 
2.4%
7 253
 
1.0%
6 212
 
0.9%
Latin
ValueCountFrequency (%)
P 1176
25.0%
H 1176
25.0%
M 1176
25.0%
B 1176
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9612
32.7%
2 6293
21.4%
3 2576
 
8.8%
1 1618
 
5.5%
8 1512
 
5.1%
P 1176
 
4.0%
H 1176
 
4.0%
M 1176
 
4.0%
B 1176
 
4.0%
4 1048
 
3.6%
Other values (4) 2037
 
6.9%

인허가일자
Real number (ℝ)

Distinct1078
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20040880
Minimum19710518
Maximum20211027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:45.813632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850615
Q119960387
median20060212
Q320130708
95-th percentile20200350
Maximum20211027
Range500509
Interquartile range (IQR)170321.25

Descriptive statistics

Standard deviation110094.32
Coefficient of variation (CV)0.0054934872
Kurtosis-0.75738016
Mean20040880
Median Absolute Deviation (MAD)80749.5
Skewness-0.40410928
Sum2.3568075 × 1010
Variance1.2120759 × 1010
MonotonicityNot monotonic
2024-04-21T19:32:46.079085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19910628 12
 
1.0%
19901119 5
 
0.4%
20150731 3
 
0.3%
20000908 3
 
0.3%
19941012 2
 
0.2%
19990520 2
 
0.2%
20090928 2
 
0.2%
19870530 2
 
0.2%
20140303 2
 
0.2%
20110502 2
 
0.2%
Other values (1068) 1141
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 (%)
20211027 1
0.1%
20211020 1
0.1%
20211007 1
0.1%
20211005 1
0.1%
20210923 1
0.1%
20210915 1
0.1%
20210906 1
0.1%
20210903 1
0.1%
20210831 1
0.1%
20210824 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1176
Missing (%)100.0%
Memory size10.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
756 
3
412 
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 (%)
1 756
64.3%
3 412
35.0%
4 8
 
0.7%

Length

2024-04-21T19:32:46.313542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:32:46.479791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 756
64.3%
3 412
35.0%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
영업/정상
756 
폐업
412 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.0102041
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 756
64.3%
폐업 412
35.0%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:32:46.670574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:32:46.847997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 756
64.3%
폐업 412
35.0%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
13
756 
3
412 
24
 
8

Length

Max length2
Median length2
Mean length1.6496599
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 756
64.3%
3 412
35.0%
24 8
 
0.7%

Length

2024-04-21T19:32:47.032674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:32:47.202407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 756
64.3%
3 412
35.0%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
영업중
756 
폐업
412 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6564626
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 756
64.3%
폐업 412
35.0%
직권폐업 8
 
0.7%

Length

2024-04-21T19:32:47.408704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:32:47.601486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 756
64.3%
폐업 412
35.0%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct374
Distinct (%)92.1%
Missing770
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean20104462
Minimum19851128
Maximum20211022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:47.805123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19923367
Q120081038
median20120457
Q320171200
95-th percentile20210423
Maximum20211022
Range359894
Interquartile range (IQR)90162

Descriptive statistics

Standard deviation87026.033
Coefficient of variation (CV)0.0043286925
Kurtosis-0.21991118
Mean20104462
Median Absolute Deviation (MAD)50459
Skewness-0.87655573
Sum8.1624115 × 109
Variance7.5735304 × 109
MonotonicityNot monotonic
2024-04-21T19:32:48.069567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20190115 2
 
0.2%
20110211 2
 
0.2%
20140602 2
 
0.2%
20180115 2
 
0.2%
20210712 2
 
0.2%
20191016 2
 
0.2%
19990421 2
 
0.2%
19990205 2
 
0.2%
20090513 2
 
0.2%
Other values (364) 385
32.7%
(Missing) 770
65.5%
ValueCountFrequency (%)
19851128 1
0.1%
19900226 1
0.1%
19900507 1
0.1%
19900514 1
0.1%
19900927 1
0.1%
19901128 1
0.1%
19910122 1
0.1%
19910314 1
0.1%
19910406 2
0.2%
19910531 2
0.2%
ValueCountFrequency (%)
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%
20210701 1
0.1%
20210630 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1176
Missing (%)100.0%
Memory size10.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1176
Missing (%)100.0%
Memory size10.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1176
Missing (%)100.0%
Memory size10.5 KiB

소재지전화
Text

MISSING 

Distinct945
Distinct (%)94.5%
Missing176
Missing (%)15.0%
Memory size9.3 KiB
2024-04-21T19:32:48.824373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.288
Min length7

Characters and Unicode

Total characters11288
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

Unique898 ?
Unique (%)89.8%

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%
051-337-7111 3
 
0.3%
051-625-8471 3
 
0.3%
051-611-0079 2
 
0.2%
4423136 2
 
0.2%
051-804-7711 2
 
0.2%
Other values (935) 972
97.2%
2024-04-21T19:32:49.787235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1759
15.6%
0 1713
15.2%
5 1573
13.9%
1 1561
13.8%
2 851
7.5%
8 701
 
6.2%
6 696
 
6.2%
3 692
 
6.1%
7 688
 
6.1%
4 625
 
5.5%
Other values (4) 429
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9486
84.0%
Dash Punctuation 1759
 
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 1713
18.1%
5 1573
16.6%
1 1561
16.5%
2 851
9.0%
8 701
7.4%
6 696
7.3%
3 692
7.3%
7 688
7.3%
4 625
 
6.6%
9 386
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1759
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 11288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1759
15.6%
0 1713
15.2%
5 1573
13.9%
1 1561
13.8%
2 851
7.5%
8 701
 
6.2%
6 696
 
6.2%
3 692
 
6.1%
7 688
 
6.1%
4 625
 
5.5%
Other values (4) 429
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1759
15.6%
0 1713
15.2%
5 1573
13.9%
1 1561
13.8%
2 851
7.5%
8 701
 
6.2%
6 696
 
6.2%
3 692
 
6.1%
7 688
 
6.1%
4 625
 
5.5%
Other values (4) 429
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1176
Missing (%)100.0%
Memory size10.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)50.1%
Missing497
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean608185.86
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:50.023937image/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
2024-04-21T19:32:50.261787image/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
49.5%
(Missing) 497
42.3%
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 

Distinct1023
Distinct (%)95.2%
Missing101
Missing (%)8.6%
Memory size9.3 KiB
2024-04-21T19:32:51.495923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.173953
Min length3

Characters and Unicode

Total characters25987
Distinct characters312
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

Unique977 ?
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 1046
 
19.2%
금정구 169
 
3.1%
부산진구 141
 
2.6%
1호 123
 
2.3%
남구 106
 
1.9%
사하구 86
 
1.6%
동래구 79
 
1.5%
중구 76
 
1.4%
해운대구 69
 
1.3%
1층 68
 
1.2%
Other values (1385) 3481
63.9%
2024-04-21T19:32:52.986935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4384
 
16.9%
1 1394
 
5.4%
부 1351
 
5.2%
산 1289
 
5.0%
동 1194
 
4.6%
시 1090
 
4.2%
구 1079
 
4.2%
광 1077
 
4.1%
역 1050
 
4.0%
2 915
 
3.5%
Other values (302) 11164
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15469
59.5%
Decimal Number 5681
 
21.9%
Space Separator 4384
 
16.9%
Dash Punctuation 280
 
1.1%
Uppercase Letter 63
 
0.2%
Other Punctuation 44
 
0.2%
Open Punctuation 31
 
0.1%
Close Punctuation 31
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1351
 
8.7%
산 1289
 
8.3%
동 1194
 
7.7%
시 1090
 
7.0%
구 1079
 
7.0%
광 1077
 
7.0%
역 1050
 
6.8%
지 835
 
5.4%
호 796
 
5.1%
번 783
 
5.1%
Other values (268) 4925
31.8%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
K 10
15.9%
B 7
11.1%
A 6
9.5%
C 5
7.9%
H 5
7.9%
E 5
7.9%
Y 4
 
6.3%
U 4
 
6.3%
G 2
 
3.2%
Other values (3) 4
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 1394
24.5%
2 915
16.1%
3 638
11.2%
4 543
 
9.6%
5 469
 
8.3%
0 395
 
7.0%
6 359
 
6.3%
7 344
 
6.1%
8 321
 
5.7%
9 303
 
5.3%
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 (%)
4384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15469
59.5%
Common 10453
40.2%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1351
 
8.7%
산 1289
 
8.3%
동 1194
 
7.7%
시 1090
 
7.0%
구 1079
 
7.0%
광 1077
 
7.0%
역 1050
 
6.8%
지 835
 
5.4%
호 796
 
5.1%
번 783
 
5.1%
Other values (268) 4925
31.8%
Common
ValueCountFrequency (%)
4384
41.9%
1 1394
 
13.3%
2 915
 
8.8%
3 638
 
6.1%
4 543
 
5.2%
5 469
 
4.5%
0 395
 
3.8%
6 359
 
3.4%
7 344
 
3.3%
8 321
 
3.1%
Other values (9) 691
 
6.6%
Latin
ValueCountFrequency (%)
S 11
16.9%
K 10
15.4%
B 7
10.8%
A 6
9.2%
C 5
7.7%
H 5
7.7%
E 5
7.7%
Y 4
 
6.2%
U 4
 
6.2%
G 2
 
3.1%
Other values (5) 6
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15469
59.5%
ASCII 10518
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4384
41.7%
1 1394
 
13.3%
2 915
 
8.7%
3 638
 
6.1%
4 543
 
5.2%
5 469
 
4.5%
0 395
 
3.8%
6 359
 
3.4%
7 344
 
3.3%
8 321
 
3.1%
Other values (24) 756
 
7.2%
Hangul
ValueCountFrequency (%)
부 1351
 
8.7%
산 1289
 
8.3%
동 1194
 
7.7%
시 1090
 
7.0%
구 1079
 
7.0%
광 1077
 
7.0%
역 1050
 
6.8%
지 835
 
5.4%
호 796
 
5.1%
번 783
 
5.1%
Other values (268) 4925
31.8%

도로명전체주소
Text

MISSING 

Distinct1019
Distinct (%)93.1%
Missing82
Missing (%)7.0%
Memory size9.3 KiB
2024-04-21T19:32:54.194182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length28.046618
Min length20

Characters and Unicode

Total characters30683
Distinct characters355
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

Unique958 ?
Unique (%)87.6%

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 1095
 
17.8%
1층 171
 
2.8%
금정구 153
 
2.5%
부산진구 140
 
2.3%
해운대구 98
 
1.6%
남구 92
 
1.5%
사하구 89
 
1.4%
동래구 87
 
1.4%
중구 76
 
1.2%
부전동 70
 
1.1%
Other values (1351) 4087
66.4%
2024-04-21T19:32:55.639962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5068
 
16.5%
부 1391
 
4.5%
동 1384
 
4.5%
산 1338
 
4.4%
시 1179
 
3.8%
광 1177
 
3.8%
구 1128
 
3.7%
역 1098
 
3.6%
1 1097
 
3.6%
) 1080
 
3.5%
Other values (345) 14743
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18343
59.8%
Space Separator 5068
 
16.5%
Decimal Number 4325
 
14.1%
Close Punctuation 1080
 
3.5%
Open Punctuation 1080
 
3.5%
Other Punctuation 538
 
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 1391
 
7.6%
동 1384
 
7.5%
산 1338
 
7.3%
시 1179
 
6.4%
광 1177
 
6.4%
구 1128
 
6.1%
역 1098
 
6.0%
로 1077
 
5.9%
대 578
 
3.2%
층 263
 
1.4%
Other values (310) 7730
42.1%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.7%
K 12
16.9%
B 11
15.5%
A 5
 
7.0%
H 5
 
7.0%
C 5
 
7.0%
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 1097
25.4%
2 655
15.1%
3 408
 
9.4%
0 377
 
8.7%
4 365
 
8.4%
7 318
 
7.4%
5 315
 
7.3%
6 299
 
6.9%
9 252
 
5.8%
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 (%)
, 534
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
5068
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1080
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1080
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18343
59.8%
Common 12264
40.0%
Latin 76
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1391
 
7.6%
동 1384
 
7.5%
산 1338
 
7.3%
시 1179
 
6.4%
광 1177
 
6.4%
구 1128
 
6.1%
역 1098
 
6.0%
로 1077
 
5.9%
대 578
 
3.2%
층 263
 
1.4%
Other values (310) 7730
42.1%
Latin
ValueCountFrequency (%)
S 14
18.4%
K 12
15.8%
B 11
14.5%
A 5
 
6.6%
H 5
 
6.6%
C 5
 
6.6%
Y 4
 
5.3%
U 4
 
5.3%
G 4
 
5.3%
E 3
 
3.9%
Other values (8) 9
11.8%
Common
ValueCountFrequency (%)
5068
41.3%
1 1097
 
8.9%
) 1080
 
8.8%
( 1080
 
8.8%
2 655
 
5.3%
, 534
 
4.4%
3 408
 
3.3%
0 377
 
3.1%
4 365
 
3.0%
7 318
 
2.6%
Other values (7) 1282
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18343
59.8%
ASCII 12340
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5068
41.1%
1 1097
 
8.9%
) 1080
 
8.8%
( 1080
 
8.8%
2 655
 
5.3%
, 534
 
4.3%
3 408
 
3.3%
0 377
 
3.1%
4 365
 
3.0%
7 318
 
2.6%
Other values (25) 1358
 
11.0%
Hangul
ValueCountFrequency (%)
부 1391
 
7.6%
동 1384
 
7.5%
산 1338
 
7.3%
시 1179
 
6.4%
광 1177
 
6.4%
구 1128
 
6.1%
역 1098
 
6.0%
로 1077
 
5.9%
대 578
 
3.2%
층 263
 
1.4%
Other values (310) 7730
42.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct538
Distinct (%)58.5%
Missing256
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean83396.425
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:55.878926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147130.75
median47860.5
Q348945
95-th percentile608805
Maximum619963
Range573959
Interquartile range (IQR)1814.25

Descriptive statistics

Standard deviation137280.4
Coefficient of variation (CV)1.6461185
Kurtosis10.999466
Mean83396.425
Median Absolute Deviation (MAD)871
Skewness3.6018448
Sum76724711
Variance1.8845908 × 1010
MonotonicityNot monotonic
2024-04-21T19:32:56.113061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48946 21
 
1.8%
48953 13
 
1.1%
46291 11
 
0.9%
48945 10
 
0.9%
47295 9
 
0.8%
46576 8
 
0.7%
47296 8
 
0.7%
47289 7
 
0.6%
48095 7
 
0.6%
47254 7
 
0.6%
Other values (528) 819
69.6%
(Missing) 256
 
21.8%
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

Distinct927
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-04-21T19:32:56.890159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.7942177
Min length2

Characters and Unicode

Total characters7990
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

Unique810 ?
Unique (%)68.9%

Sample

1st row국전안경
2nd row아이샵(eye#)안경
3rd row국전안경
4th row눈사랑안경남포
5th row갤러리안경원
ValueCountFrequency (%)
안경원 66
 
4.5%
안경 45
 
3.1%
갤러리안경 30
 
2.0%
안경나라 22
 
1.5%
눈사랑안경 18
 
1.2%
초이스안경 13
 
0.9%
갤러리안경원 13
 
0.9%
오렌즈 12
 
0.8%
세컨페이스 11
 
0.7%
다비치안경 10
 
0.7%
Other values (926) 1235
83.7%
2024-04-21T19:32:57.921946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1069
 
13.4%
경 1067
 
13.4%
원 404
 
5.1%
299
 
3.7%
점 275
 
3.4%
이 262
 
3.3%
아 208
 
2.6%
스 187
 
2.3%
리 127
 
1.6%
0 92
 
1.2%
Other values (403) 4000
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7204
90.2%
Space Separator 299
 
3.7%
Decimal Number 186
 
2.3%
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 1069
 
14.8%
경 1067
 
14.8%
원 404
 
5.6%
점 275
 
3.8%
이 262
 
3.6%
아 208
 
2.9%
스 187
 
2.6%
리 127
 
1.8%
트 87
 
1.2%
비 80
 
1.1%
Other values (345) 3438
47.7%
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%
N 4
 
4.7%
I 4
 
4.7%
C 4
 
4.7%
M 4
 
4.7%
Other values (12) 25
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 10
14.3%
c 7
10.0%
a 7
10.0%
n 7
10.0%
i 6
8.6%
o 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 92
49.5%
1 44
23.7%
8 23
 
12.4%
5 18
 
9.7%
2 5
 
2.7%
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 (%)
299
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 7204
90.2%
Common 630
 
7.9%
Latin 155
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1069
 
14.8%
경 1067
 
14.8%
원 404
 
5.6%
점 275
 
3.8%
이 262
 
3.6%
아 208
 
2.9%
스 187
 
2.6%
리 127
 
1.8%
트 87
 
1.2%
비 80
 
1.1%
Other values (345) 3438
47.7%
Latin
ValueCountFrequency (%)
O 13
 
8.4%
e 10
 
6.5%
E 8
 
5.2%
c 7
 
4.5%
a 7
 
4.5%
n 7
 
4.5%
S 7
 
4.5%
i 6
 
3.9%
L 6
 
3.9%
o 6
 
3.9%
Other values (30) 78
50.3%
Common
ValueCountFrequency (%)
299
47.5%
0 92
 
14.6%
) 59
 
9.4%
( 59
 
9.4%
1 44
 
7.0%
8 23
 
3.7%
5 18
 
2.9%
. 13
 
2.1%
2 5
 
0.8%
· 4
 
0.6%
Other values (7) 14
 
2.2%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7203
90.2%
ASCII 780
 
9.8%
None 5
 
0.1%
Enclosed Alphanum 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1069
 
14.8%
경 1067
 
14.8%
원 404
 
5.6%
점 275
 
3.8%
이 262
 
3.6%
아 208
 
2.9%
스 187
 
2.6%
리 127
 
1.8%
트 87
 
1.2%
비 80
 
1.1%
Other values (344) 3437
47.7%
ASCII
ValueCountFrequency (%)
299
38.3%
0 92
 
11.8%
) 59
 
7.6%
( 59
 
7.6%
1 44
 
5.6%
8 23
 
2.9%
5 18
 
2.3%
. 13
 
1.7%
O 13
 
1.7%
e 10
 
1.3%
Other values (45) 150
19.2%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1150
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0149335 × 1013
Minimum2.008112 × 1013
Maximum2.0211027 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:58.169413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120405 × 1013
median2.0150468 × 1013
Q32.0181023 × 1013
95-th percentile2.0210527 × 1013
Maximum2.0211027 × 1013
Range1.2990697 × 1011
Interquartile range (IQR)6.0617787 × 1010

Descriptive statistics

Standard deviation3.9005053 × 1010
Coefficient of variation (CV)0.0019357985
Kurtosis-1.1448357
Mean2.0149335 × 1013
Median Absolute Deviation (MAD)3.025246 × 1010
Skewness-0.027996655
Sum2.3695618 × 1016
Variance1.5213941 × 1021
MonotonicityNot monotonic
2024-04-21T19:32:58.438906image/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%
20090209150211 1
 
0.1%
20090209151721 1
 
0.1%
20090209151337 1
 
0.1%
20090209151001 1
 
0.1%
20090209150705 1
 
0.1%
Other values (1140) 1140
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 (%)
20211027113825 1
0.1%
20211022145653 1
0.1%
20211022144959 1
0.1%
20211020093820 1
0.1%
20211014162122 1
0.1%
20211008101651 1
0.1%
20211006090549 1
0.1%
20211001124015 1
0.1%
20211001093852 1
0.1%
20210924130622 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
I
940 
U
236 

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
79.9%
U 236
 
20.1%

Length

2024-04-21T19:32:58.675078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:32:59.051693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 940
79.9%
u 236
 
20.1%

데이터갱신일자
Date

Distinct267
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-10-29 00:22:55
2024-04-21T19:32:59.242563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:32:59.494160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1176
Missing (%)100.0%
Memory size10.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct940
Distinct (%)85.8%
Missing80
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean388076.76
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:32:59.740658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379707.97
Q1384878.5
median388526.8
Q3391233.26
95-th percentile397365.14
Maximum403236.19
Range36128.006
Interquartile range (IQR)6354.7648

Descriptive statistics

Standard deviation5237.1158
Coefficient of variation (CV)0.013495051
Kurtosis0.44725434
Mean388076.76
Median Absolute Deviation (MAD)3197.055
Skewness-0.016183818
Sum4.2533213 × 108
Variance27427381
MonotonicityNot monotonic
2024-04-21T19:32:59.998731image/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 (930) 1045
88.9%
(Missing) 80
 
6.8%
ValueCountFrequency (%)
367108.187126995 1
0.1%
371179.51398421 1
0.1%
371180.37604943 1
0.1%
373495.79454295 1
0.1%
373508.720158398 1
0.1%
373510.894532737 1
0.1%
373561.0 1
0.1%
373576.028819056 1
0.1%
373735.179018815 1
0.1%
374846.363500608 1
0.1%
ValueCountFrequency (%)
403236.192851 1
 
0.1%
402168.434114938 3
0.3%
401739.342184973 1
 
0.1%
401727.549967414 1
 
0.1%
401724.508448107 1
 
0.1%
401723.705169194 1
 
0.1%
401721.440535713 1
 
0.1%
401712.115666 1
 
0.1%
401709.206084507 1
 
0.1%
401700.977668733 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct941
Distinct (%)85.9%
Missing80
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean187328.13
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:33:00.254156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178689.35
Q1183544.39
median187063.4
Q3191799.59
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8255.2042

Descriptive statistics

Standard deviation5852.4108
Coefficient of variation (CV)0.031241495
Kurtosis-0.15507441
Mean187328.13
Median Absolute Deviation (MAD)4360.3383
Skewness0.1906335
Sum2.0531163 × 108
Variance34250712
MonotonicityNot monotonic
2024-04-21T19:33:00.496877image/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 (931) 1045
88.9%
(Missing) 80
 
6.8%
ValueCountFrequency (%)
174016.551235181 1
 
0.1%
174289.976688419 2
0.2%
174820.944129501 1
 
0.1%
174883.742734168 2
0.2%
174910.857552639 1
 
0.1%
174915.765704636 1
 
0.1%
174922.72397246 1
 
0.1%
175057.154813024 1
 
0.1%
175314.286676535 1
 
0.1%
175382.738615908 3
0.3%
ValueCountFrequency (%)
206377.970967 1
0.1%
206209.450536273 1
0.1%
205965.90747 1
0.1%
205730.304383 1
0.1%
205464.225232 1
0.1%
205376.57603 1
0.1%
205312.201457 1
0.1%
205109.080405 1
0.1%
205056.269216 1
0.1%
205035.508686 1
0.1%

시력표수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
962 
0
173 
2
 
34
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0127551
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 962
81.8%
0 173
 
14.7%
2 34
 
2.9%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:33:00.741831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:33:00.931579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 962
81.8%
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
193 
<NA>
 
38
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.0986395
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 905
77.0%
0 193
 
16.4%
<NA> 38
 
3.2%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:33:01.131680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:33:01.325891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
77.0%
0 193
 
16.4%
na 38
 
3.2%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing46
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean0.89380531
Minimum0
Maximum11
Zeros194
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:33:01.498642image/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 deviation0.58263675
Coefficient of variation (CV)0.65186091
Kurtosis84.017272
Mean0.89380531
Median Absolute Deviation (MAD)0
Skewness5.1567124
Sum1010
Variance0.33946558
MonotonicityNot monotonic
2024-04-21T19:33:01.678087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
75.2%
0 194
 
16.5%
2 43
 
3.7%
3 4
 
0.3%
4 3
 
0.3%
5 1
 
0.1%
11 1
 
0.1%
(Missing) 46
 
3.9%
ValueCountFrequency (%)
0 194
 
16.5%
1 884
75.2%
2 43
 
3.7%
3 4
 
0.3%
4 3
 
0.3%
5 1
 
0.1%
11 1
 
0.1%
ValueCountFrequency (%)
11 1
 
0.1%
5 1
 
0.1%
4 3
 
0.3%
3 4
 
0.3%
2 43
 
3.7%
1 884
75.2%
0 194
 
16.5%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.92314261
Minimum0
Maximum10
Zeros175
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:33:01.859851image/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 deviation0.59849015
Coefficient of variation (CV)0.64831819
Kurtosis55.62068
Mean0.92314261
Median Absolute Deviation (MAD)0
Skewness4.581521
Sum1081
Variance0.35819046
MonotonicityNot monotonic
2024-04-21T19:33:02.045918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 948
80.6%
0 175
 
14.9%
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
 
14.9%
1 948
80.6%
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%
1 948
80.6%
0 175
 
14.9%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
857 
0
173 
2
104 
3
 
28
4
 
7

Length

Max length4
Median length1
Mean length1.0178571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 857
72.9%
0 173
 
14.7%
2 104
 
8.8%
3 28
 
2.4%
4 7
 
0.6%
<NA> 7
 
0.6%

Length

2024-04-21T19:33:02.257933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:33:02.454023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 857
72.9%
0 173
 
14.7%
2 104
 
8.8%
3 28
 
2.4%
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
196 
<NA>
 
50
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.127551
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 902
76.7%
0 196
 
16.7%
<NA> 50
 
4.3%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:33:02.660330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:33:02.849659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 902
76.7%
0 196
 
16.7%
na 50
 
4.3%
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
197 
<NA>
 
48
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.122449
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 911
77.5%
0 197
 
16.8%
<NA> 48
 
4.1%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:33:03.047945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:33:03.237006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
77.5%
0 197
 
16.8%
na 48
 
4.1%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing50
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean0.94227353
Minimum0
Maximum5
Zeros195
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:33:03.401952image/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 deviation0.5729051
Coefficient of variation (CV)0.60800296
Kurtosis5.8773523
Mean0.94227353
Median Absolute Deviation (MAD)0
Skewness0.93367618
Sum1061
Variance0.32822025
MonotonicityNot monotonic
2024-04-21T19:33:03.583591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
69.6%
0 195
 
16.6%
2 101
 
8.6%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 50
 
4.3%
ValueCountFrequency (%)
0 195
 
16.6%
1 818
69.6%
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
69.6%
0 195
 
16.6%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing49
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.97604259
Minimum0
Maximum5
Zeros194
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:33:03.757453image/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 deviation0.61244723
Coefficient of variation (CV)0.62748002
Kurtosis3.6879399
Mean0.97604259
Median Absolute Deviation (MAD)0
Skewness0.87282049
Sum1100
Variance0.37509161
MonotonicityNot monotonic
2024-04-21T19:33:03.938732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
67.3%
0 194
 
16.5%
2 119
 
10.1%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 49
 
4.2%
ValueCountFrequency (%)
0 194
 
16.5%
1 792
67.3%
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
67.3%
0 194
 
16.5%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct498
Distinct (%)74.8%
Missing510
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean77.092297
Minimum0
Maximum723.02
Zeros71
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-21T19:33:04.152459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median59.855
Q399
95-th percentile213.75
Maximum723.02
Range723.02
Interquartile range (IQR)66

Descriptive statistics

Standard deviation73.337386
Coefficient of variation (CV)0.9512933
Kurtosis17.531468
Mean77.092297
Median Absolute Deviation (MAD)31.77
Skewness2.9741109
Sum51343.47
Variance5378.3722
MonotonicityNot monotonic
2024-04-21T19:33:04.405643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 71
 
6.0%
33.0 10
 
0.9%
66.0 5
 
0.4%
49.5 4
 
0.3%
56.0 4
 
0.3%
60.0 4
 
0.3%
46.2 4
 
0.3%
57.6 4
 
0.3%
99.0 3
 
0.3%
29.7 3
 
0.3%
Other values (488) 554
47.1%
(Missing) 510
43.4%
ValueCountFrequency (%)
0.0 71
6.0%
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 

Missing1176
Missing (%)100.0%
Memory size10.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
11661167안경업01_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>
11671168안경업01_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>
11681169안경업01_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>
11691170안경업01_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>
11701171안경업01_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>
11711172안경업01_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>
11721173안경업01_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>
11731174안경업01_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 110호46056굿초이스안경20210601165755I2021-06-03 00:23:05.0<NA>401700.977669197225.4283332<NA><NA>11<NA><NA><NA><NA>62.73<NA>
11741175안경업01_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>
11751176안경업01_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>