Overview

Dataset statistics

Number of variables39
Number of observations1193
Missing cells11068
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory396.2 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2022-07-01
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 (64.1%)Imbalance
표본렌즈수 is highly imbalanced (58.1%)Imbalance
정점굴절계기수 is highly imbalanced (51.1%)Imbalance
조제용연마기수 is highly imbalanced (54.2%)Imbalance
렌즈절단기수 is highly imbalanced (55.9%)Imbalance
인허가취소일자 has 1193 (100.0%) missing valuesMissing
폐업일자 has 784 (65.7%) missing valuesMissing
휴업시작일자 has 1193 (100.0%) missing valuesMissing
휴업종료일자 has 1193 (100.0%) missing valuesMissing
재개업일자 has 1193 (100.0%) missing valuesMissing
소재지전화 has 182 (15.3%) missing valuesMissing
소재지면적 has 1193 (100.0%) missing valuesMissing
소재지우편번호 has 522 (43.8%) missing valuesMissing
소재지전체주소 has 104 (8.7%) missing valuesMissing
도로명전체주소 has 82 (6.9%) missing valuesMissing
도로명우편번호 has 256 (21.5%) missing valuesMissing
업태구분명 has 1193 (100.0%) missing valuesMissing
좌표정보(x) has 81 (6.8%) missing valuesMissing
좌표정보(y) has 81 (6.8%) missing valuesMissing
측정의자수 has 41 (3.4%) missing valuesMissing
가열기수 has 44 (3.7%) missing valuesMissing
안경세척기수 has 43 (3.6%) missing valuesMissing
총면적 has 492 (41.2%) missing valuesMissing
Unnamed: 38 has 1193 (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 217 (18.2%) zerosZeros
동공거리측정기수 has 173 (14.5%) zerosZeros
가열기수 has 219 (18.4%) zerosZeros
안경세척기수 has 218 (18.3%) zerosZeros
총면적 has 83 (7.0%) zerosZeros

Reproduction

Analysis started2024-04-21 10:23:53.944689
Analysis finished2024-04-21 10:23:55.401948
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597
Minimum1
Maximum1193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:23:55.595448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.6
Q1299
median597
Q3895
95-th percentile1133.4
Maximum1193
Range1192
Interquartile range (IQR)596

Descriptive statistics

Standard deviation344.53374
Coefficient of variation (CV)0.57710845
Kurtosis-1.2
Mean597
Median Absolute Deviation (MAD)298
Skewness0
Sum712221
Variance118703.5
MonotonicityStrictly increasing
2024-04-21T19:23:56.043583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
802 1
 
0.1%
800 1
 
0.1%
799 1
 
0.1%
798 1
 
0.1%
797 1
 
0.1%
796 1
 
0.1%
795 1
 
0.1%
794 1
 
0.1%
793 1
 
0.1%
Other values (1183) 1183
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 (%)
1193 1
0.1%
1192 1
0.1%
1191 1
0.1%
1190 1
0.1%
1189 1
0.1%
1188 1
0.1%
1187 1
0.1%
1186 1
0.1%
1185 1
0.1%
1184 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
안경업
1193 

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 1193
100.0%

Length

2024-04-21T19:23:56.455785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:23:56.749105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1193
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
01_02_01_P
1193 

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 1193
100.0%

Length

2024-04-21T19:23:57.055846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:23:57.350969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1193
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325062.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:23:57.629691image/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 deviation39842.604
Coefficient of variation (CV)0.011982512
Kurtosis-0.73888293
Mean3325062.9
Median Absolute Deviation (MAD)30000
Skewness-0.047047331
Sum3.9668 × 109
Variance1.5874331 × 109
MonotonicityIncreasing
2024-04-21T19:23:58.015451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 177
14.8%
3290000 148
12.4%
3310000 115
9.6%
3330000 102
8.5%
3340000 94
7.9%
3300000 92
7.7%
3250000 80
6.7%
3390000 68
 
5.7%
3320000 66
 
5.5%
3370000 65
 
5.4%
Other values (6) 186
15.6%
ValueCountFrequency (%)
3250000 80
6.7%
3260000 23
 
1.9%
3270000 29
 
2.4%
3280000 27
 
2.3%
3290000 148
12.4%
3300000 92
7.7%
3310000 115
9.6%
3320000 66
5.5%
3330000 102
8.5%
3340000 94
7.9%
ValueCountFrequency (%)
3400000 36
 
3.0%
3390000 68
 
5.7%
3380000 52
 
4.4%
3370000 65
 
5.4%
3360000 19
 
1.6%
3350000 177
14.8%
3340000 94
7.9%
3330000 102
8.5%
3320000 66
 
5.5%
3310000 115
9.6%

관리번호
Text

UNIQUE 

Distinct1193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-04-21T19:23:58.766098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29825
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

Unique1193 ?
Unique (%)100.0%

Sample

1st rowPHMB220183250021082200001
2nd rowPHMB220103250021082200001
3rd rowPHMB219933250021082200001
4th rowPHMB220103250021082200006
5th rowPHMB220143250021082200001
ValueCountFrequency (%)
phmb220183250021082200001 1
 
0.1%
phmb219923350024082200002 1
 
0.1%
phmb219863350024082200004 1
 
0.1%
phmb219863350024082200003 1
 
0.1%
phmb219883350024082200002 1
 
0.1%
phmb219853350024082200002 1
 
0.1%
phmb220083350024082200001 1
 
0.1%
phmb220073350024082200002 1
 
0.1%
phmb220053350024082200006 1
 
0.1%
phmb220053350024082200005 1
 
0.1%
Other values (1183) 1183
99.2%
2024-04-21T19:24:00.093368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9753
32.7%
2 6425
21.5%
3 2611
 
8.8%
1 1632
 
5.5%
8 1527
 
5.1%
P 1193
 
4.0%
H 1193
 
4.0%
M 1193
 
4.0%
B 1193
 
4.0%
4 1061
 
3.6%
Other values (4) 2044
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25053
84.0%
Uppercase Letter 4772
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9753
38.9%
2 6425
25.6%
3 2611
 
10.4%
1 1632
 
6.5%
8 1527
 
6.1%
4 1061
 
4.2%
9 977
 
3.9%
5 595
 
2.4%
7 255
 
1.0%
6 217
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1193
25.0%
H 1193
25.0%
M 1193
25.0%
B 1193
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25053
84.0%
Latin 4772
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9753
38.9%
2 6425
25.6%
3 2611
 
10.4%
1 1632
 
6.5%
8 1527
 
6.1%
4 1061
 
4.2%
9 977
 
3.9%
5 595
 
2.4%
7 255
 
1.0%
6 217
 
0.9%
Latin
ValueCountFrequency (%)
P 1193
25.0%
H 1193
25.0%
M 1193
25.0%
B 1193
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9753
32.7%
2 6425
21.5%
3 2611
 
8.8%
1 1632
 
5.5%
8 1527
 
5.1%
P 1193
 
4.0%
H 1193
 
4.0%
M 1193
 
4.0%
B 1193
 
4.0%
4 1061
 
3.6%
Other values (4) 2044
 
6.9%

인허가일자
Real number (ℝ)

Distinct1094
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20043434
Minimum19710518
Maximum20220524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:00.520152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850616
Q119960424
median20060426
Q320140113
95-th percentile20200960
Maximum20220524
Range510006
Interquartile range (IQR)179689

Descriptive statistics

Standard deviation111336.77
Coefficient of variation (CV)0.0055547755
Kurtosis-0.76066727
Mean20043434
Median Absolute Deviation (MAD)80803
Skewness-0.39567361
Sum2.3911816 × 1010
Variance1.2395877 × 1010
MonotonicityNot monotonic
2024-04-21T19:24:00.978271image/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%
20081016 2
 
0.2%
19940426 2
 
0.2%
19861201 2
 
0.2%
20090928 2
 
0.2%
20110502 2
 
0.2%
20150512 2
 
0.2%
Other values (1084) 1158
97.1%
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 (%)
20220524 1
0.1%
20220427 1
0.1%
20220426 1
0.1%
20220418 1
0.1%
20220412 1
0.1%
20220228 1
0.1%
20220223 1
0.1%
20220203 1
0.1%
20220120 1
0.1%
20220114 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1193
Missing (%)100.0%
Memory size10.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
764 
3
421 
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 (%)
1 764
64.0%
3 421
35.3%
4 8
 
0.7%

Length

2024-04-21T19:24:01.390915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:01.698775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 764
64.0%
3 421
35.3%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업/정상
764 
폐업
421 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.0016764
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 764
64.0%
폐업 421
35.3%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:24:02.051312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:02.374812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 764
64.0%
폐업 421
35.3%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
13
764 
3
421 
24
 
8

Length

Max length2
Median length2
Mean length1.6471081
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 764
64.0%
3 421
35.3%
24 8
 
0.7%

Length

2024-04-21T19:24:02.713791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:03.023178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 764
64.0%
3 421
35.3%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
영업중
764 
폐업
421 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6538139
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 764
64.0%
폐업 421
35.3%
직권폐업 8
 
0.7%

Length

2024-04-21T19:24:03.387333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:03.722492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 764
64.0%
폐업 421
35.3%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct380
Distinct (%)92.9%
Missing784
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean20105658
Minimum19851128
Maximum20220503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:04.069799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19924719
Q120081110
median20120509
Q320180115
95-th percentile20210586
Maximum20220503
Range369375
Interquartile range (IQR)99005

Descriptive statistics

Standard deviation87554.852
Coefficient of variation (CV)0.004354737
Kurtosis-0.22476005
Mean20105658
Median Absolute Deviation (MAD)50522
Skewness-0.86905136
Sum8.2232141 × 109
Variance7.6658521 × 109
MonotonicityNot monotonic
2024-04-21T19:24:04.525023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20210712 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%
20110211 2
 
0.2%
Other values (370) 388
32.5%
(Missing) 784
65.7%
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 (%)
20220503 1
0.1%
20220401 1
0.1%
20220218 1
0.1%
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%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1193
Missing (%)100.0%
Memory size10.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1193
Missing (%)100.0%
Memory size10.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1193
Missing (%)100.0%
Memory size10.6 KiB

소재지전화
Text

MISSING 

Distinct955
Distinct (%)94.5%
Missing182
Missing (%)15.3%
Memory size9.4 KiB
2024-04-21T19:24:05.384248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.292779
Min length7

Characters and Unicode

Total characters11417
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

Unique907 ?
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%
051-337-7111 3
 
0.3%
051-816-4500 3
 
0.3%
261-6700 3
 
0.3%
051-625-8471 3
 
0.3%
051-623-7778 3
 
0.3%
524-4100 2
 
0.2%
051-361-1335 2
 
0.2%
051-804-7711 2
 
0.2%
Other values (945) 983
97.2%
2024-04-21T19:24:06.352453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1777
15.6%
0 1732
15.2%
5 1595
14.0%
1 1580
13.8%
2 865
7.6%
8 709
 
6.2%
6 699
 
6.1%
7 697
 
6.1%
3 695
 
6.1%
4 632
 
5.5%
Other values (4) 436
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9597
84.1%
Dash Punctuation 1777
 
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 1732
18.0%
5 1595
16.6%
1 1580
16.5%
2 865
9.0%
8 709
7.4%
6 699
7.3%
7 697
7.3%
3 695
7.2%
4 632
 
6.6%
9 393
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1777
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 11417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1777
15.6%
0 1732
15.2%
5 1595
14.0%
1 1580
13.8%
2 865
7.6%
8 709
 
6.2%
6 699
 
6.1%
7 697
 
6.1%
3 695
 
6.1%
4 632
 
5.5%
Other values (4) 436
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1777
15.6%
0 1732
15.2%
5 1595
14.0%
1 1580
13.8%
2 865
7.6%
8 709
 
6.2%
6 699
 
6.1%
7 697
 
6.1%
3 695
 
6.1%
4 632
 
5.5%
Other values (4) 436
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1193
Missing (%)100.0%
Memory size10.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)50.7%
Missing522
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean608118.49
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:06.588105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48272
5-th percentile601812
Q1607831
median609839
Q3614041.5
95-th percentile617440.5
Maximum619963
Range571691
Interquartile range (IQR)6210.5

Descriptive statistics

Standard deviation37807.334
Coefficient of variation (CV)0.062170998
Kurtosis213.69564
Mean608118.49
Median Absolute Deviation (MAD)3968
Skewness-14.553385
Sum4.0804751 × 108
Variance1.4293945 × 109
MonotonicityNot monotonic
2024-04-21T19:24:06.825200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 33
 
2.8%
609834 8
 
0.7%
616852 7
 
0.6%
614845 7
 
0.6%
608805 7
 
0.6%
609800 7
 
0.6%
614030 7
 
0.6%
609822 7
 
0.6%
611082 6
 
0.5%
604851 6
 
0.5%
Other values (330) 576
48.3%
(Missing) 522
43.8%
ValueCountFrequency (%)
48272 1
 
0.1%
48296 1
 
0.1%
49247 1
 
0.1%
600016 1
 
0.1%
600017 1
 
0.1%
600031 2
0.2%
600032 3
0.3%
600042 1
 
0.1%
600045 1
 
0.1%
600052 1
 
0.1%
ValueCountFrequency (%)
619963 6
0.5%
619961 1
 
0.1%
619912 2
 
0.2%
619905 5
0.4%
619903 4
0.3%
618814 2
 
0.2%
618807 1
 
0.1%
617846 2
 
0.2%
617833 1
 
0.1%
617830 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1036
Distinct (%)95.1%
Missing104
Missing (%)8.7%
Memory size9.4 KiB
2024-04-21T19:24:08.060859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.116621
Min length3

Characters and Unicode

Total characters26263
Distinct characters314
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

Unique988 ?
Unique (%)90.7%

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 1060
 
19.3%
금정구 170
 
3.1%
부산진구 143
 
2.6%
1호 121
 
2.2%
남구 106
 
1.9%
사하구 87
 
1.6%
동래구 83
 
1.5%
중구 76
 
1.4%
해운대구 72
 
1.3%
1층 68
 
1.2%
Other values (1414) 3513
63.9%
2024-04-21T19:24:09.546988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4425
 
16.8%
1 1393
 
5.3%
부 1367
 
5.2%
산 1305
 
5.0%
동 1212
 
4.6%
시 1106
 
4.2%
광 1093
 
4.2%
구 1091
 
4.2%
역 1065
 
4.1%
2 919
 
3.5%
Other values (304) 11287
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15636
59.5%
Decimal Number 5730
 
21.8%
Space Separator 4425
 
16.8%
Dash Punctuation 300
 
1.1%
Uppercase Letter 64
 
0.2%
Other Punctuation 44
 
0.2%
Close Punctuation 30
 
0.1%
Open Punctuation 30
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1367
 
8.7%
산 1305
 
8.3%
동 1212
 
7.8%
시 1106
 
7.1%
광 1093
 
7.0%
구 1091
 
7.0%
역 1065
 
6.8%
지 823
 
5.3%
호 786
 
5.0%
번 770
 
4.9%
Other values (270) 5018
32.1%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.2%
K 10
15.6%
B 7
10.9%
A 6
9.4%
E 6
9.4%
C 5
7.8%
H 5
7.8%
U 4
 
6.2%
Y 4
 
6.2%
L 2
 
3.1%
Other values (3) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 1393
24.3%
2 919
16.0%
3 641
11.2%
4 546
 
9.5%
5 478
 
8.3%
0 396
 
6.9%
6 368
 
6.4%
7 353
 
6.2%
8 324
 
5.7%
9 312
 
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 (%)
4425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15636
59.5%
Common 10561
40.2%
Latin 66
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1367
 
8.7%
산 1305
 
8.3%
동 1212
 
7.8%
시 1106
 
7.1%
광 1093
 
7.0%
구 1091
 
7.0%
역 1065
 
6.8%
지 823
 
5.3%
호 786
 
5.0%
번 770
 
4.9%
Other values (270) 5018
32.1%
Common
ValueCountFrequency (%)
4425
41.9%
1 1393
 
13.2%
2 919
 
8.7%
3 641
 
6.1%
4 546
 
5.2%
5 478
 
4.5%
0 396
 
3.7%
6 368
 
3.5%
7 353
 
3.3%
8 324
 
3.1%
Other values (9) 718
 
6.8%
Latin
ValueCountFrequency (%)
S 11
16.7%
K 10
15.2%
B 7
10.6%
A 6
9.1%
E 6
9.1%
C 5
7.6%
H 5
7.6%
U 4
 
6.1%
Y 4
 
6.1%
L 2
 
3.0%
Other values (5) 6
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15636
59.5%
ASCII 10627
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4425
41.6%
1 1393
 
13.1%
2 919
 
8.6%
3 641
 
6.0%
4 546
 
5.1%
5 478
 
4.5%
0 396
 
3.7%
6 368
 
3.5%
7 353
 
3.3%
8 324
 
3.0%
Other values (24) 784
 
7.4%
Hangul
ValueCountFrequency (%)
부 1367
 
8.7%
산 1305
 
8.3%
동 1212
 
7.8%
시 1106
 
7.1%
광 1093
 
7.0%
구 1091
 
7.0%
역 1065
 
6.8%
지 823
 
5.3%
호 786
 
5.0%
번 770
 
4.9%
Other values (270) 5018
32.1%

도로명전체주소
Text

MISSING 

Distinct1035
Distinct (%)93.2%
Missing82
Missing (%)6.9%
Memory size9.4 KiB
2024-04-21T19:24:10.788098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length28.168317
Min length20

Characters and Unicode

Total characters31295
Distinct characters357
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique973 ?
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 1112
 
17.7%
1층 186
 
3.0%
금정구 155
 
2.5%
부산진구 142
 
2.3%
해운대구 101
 
1.6%
남구 92
 
1.5%
동래구 91
 
1.4%
사하구 90
 
1.4%
중구 76
 
1.2%
부전동 70
 
1.1%
Other values (1362) 4174
66.4%
2024-04-21T19:24:12.283391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5182
 
16.6%
부 1416
 
4.5%
동 1408
 
4.5%
산 1358
 
4.3%
시 1198
 
3.8%
광 1195
 
3.8%
구 1147
 
3.7%
역 1116
 
3.6%
1 1111
 
3.6%
( 1095
 
3.5%
Other values (347) 15069
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18707
59.8%
Space Separator 5182
 
16.6%
Decimal Number 4405
 
14.1%
Open Punctuation 1095
 
3.5%
Close Punctuation 1095
 
3.5%
Other Punctuation 563
 
1.8%
Dash Punctuation 164
 
0.5%
Uppercase Letter 72
 
0.2%
Math Symbol 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1416
 
7.6%
동 1408
 
7.5%
산 1358
 
7.3%
시 1198
 
6.4%
광 1195
 
6.4%
구 1147
 
6.1%
역 1116
 
6.0%
로 1094
 
5.8%
대 587
 
3.1%
층 290
 
1.6%
Other values (312) 7898
42.2%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.4%
K 12
16.7%
B 11
15.3%
A 5
 
6.9%
H 5
 
6.9%
C 5
 
6.9%
Y 4
 
5.6%
U 4
 
5.6%
E 4
 
5.6%
G 4
 
5.6%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1111
25.2%
2 678
15.4%
3 407
 
9.2%
0 390
 
8.9%
4 377
 
8.6%
5 325
 
7.4%
7 319
 
7.2%
6 300
 
6.8%
9 259
 
5.9%
8 239
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
b 1
20.0%
h 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 559
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
5182
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1095
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1095
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18707
59.8%
Common 12511
40.0%
Latin 77
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1416
 
7.6%
동 1408
 
7.5%
산 1358
 
7.3%
시 1198
 
6.4%
광 1195
 
6.4%
구 1147
 
6.1%
역 1116
 
6.0%
로 1094
 
5.8%
대 587
 
3.1%
층 290
 
1.6%
Other values (312) 7898
42.2%
Latin
ValueCountFrequency (%)
S 14
18.2%
K 12
15.6%
B 11
14.3%
A 5
 
6.5%
H 5
 
6.5%
C 5
 
6.5%
Y 4
 
5.2%
U 4
 
5.2%
E 4
 
5.2%
G 4
 
5.2%
Other values (8) 9
11.7%
Common
ValueCountFrequency (%)
5182
41.4%
1 1111
 
8.9%
( 1095
 
8.8%
) 1095
 
8.8%
2 678
 
5.4%
, 559
 
4.5%
3 407
 
3.3%
0 390
 
3.1%
4 377
 
3.0%
5 325
 
2.6%
Other values (7) 1292
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18707
59.8%
ASCII 12588
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5182
41.2%
1 1111
 
8.8%
( 1095
 
8.7%
) 1095
 
8.7%
2 678
 
5.4%
, 559
 
4.4%
3 407
 
3.2%
0 390
 
3.1%
4 377
 
3.0%
5 325
 
2.6%
Other values (25) 1369
 
10.9%
Hangul
ValueCountFrequency (%)
부 1416
 
7.6%
동 1408
 
7.5%
산 1358
 
7.3%
시 1198
 
6.4%
광 1195
 
6.4%
구 1147
 
6.1%
역 1116
 
6.0%
로 1094
 
5.8%
대 587
 
3.1%
층 290
 
1.6%
Other values (312) 7898
42.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct542
Distinct (%)57.8%
Missing256
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean82747.309
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:12.520816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147127
median47860
Q348945
95-th percentile608793
Maximum619963
Range573959
Interquartile range (IQR)1818

Descriptive statistics

Standard deviation136111.96
Coefficient of variation (CV)1.6449109
Kurtosis11.291667
Mean82747.309
Median Absolute Deviation (MAD)867
Skewness3.6421483
Sum77534229
Variance1.8526464 × 1010
MonotonicityNot monotonic
2024-04-21T19:24:12.757356image/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 8
 
0.7%
47289 7
 
0.6%
48095 7
 
0.6%
46576 7
 
0.6%
47296 7
 
0.6%
47254 7
 
0.6%
Other values (532) 839
70.3%
(Missing) 256
 
21.5%
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 4
0.3%
46055 1
 
0.1%
46056 2
 
0.2%
46061 2
 
0.2%
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

Distinct947
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2024-04-21T19:24:13.539927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.8658843
Min length2

Characters and Unicode

Total characters8191
Distinct characters416
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

Unique829 ?
Unique (%)69.5%

Sample

1st row국전안경
2nd row아이샵(eye#)안경
3rd row국전안경
4th row눈사랑안경남포
5th row갤러리안경원
ValueCountFrequency (%)
안경원 67
 
4.4%
안경 44
 
2.9%
갤러리안경 30
 
2.0%
안경나라 23
 
1.5%
눈사랑안경 20
 
1.3%
갤러리안경원 13
 
0.9%
초이스안경 13
 
0.9%
오렌즈 12
 
0.8%
으뜸50안경 11
 
0.7%
세컨페이스 11
 
0.7%
Other values (946) 1264
83.8%
2024-04-21T19:24:14.583106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1082
 
13.2%
경 1081
 
13.2%
원 402
 
4.9%
315
 
3.8%
점 285
 
3.5%
이 271
 
3.3%
아 216
 
2.6%
스 190
 
2.3%
리 129
 
1.6%
0 97
 
1.2%
Other values (406) 4123
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7364
89.9%
Space Separator 315
 
3.8%
Decimal Number 196
 
2.4%
Uppercase Letter 87
 
1.1%
Lowercase Letter 80
 
1.0%
Close Punctuation 60
 
0.7%
Open Punctuation 60
 
0.7%
Other Punctuation 23
 
0.3%
Dash Punctuation 3
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 1082
 
14.7%
경 1081
 
14.7%
원 402
 
5.5%
점 285
 
3.9%
이 271
 
3.7%
아 216
 
2.9%
스 190
 
2.6%
리 129
 
1.8%
트 90
 
1.2%
러 80
 
1.1%
Other values (348) 3538
48.0%
Uppercase Letter
ValueCountFrequency (%)
O 13
14.9%
S 8
 
9.2%
E 8
 
9.2%
L 6
 
6.9%
G 5
 
5.7%
K 5
 
5.7%
N 4
 
4.6%
C 4
 
4.6%
M 4
 
4.6%
I 4
 
4.6%
Other values (12) 26
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 13
16.2%
n 9
11.2%
c 8
10.0%
a 8
10.0%
o 6
7.5%
l 6
7.5%
i 6
7.5%
t 5
 
6.2%
s 4
 
5.0%
h 4
 
5.0%
Other values (8) 11
13.8%
Decimal Number
ValueCountFrequency (%)
0 97
49.5%
1 44
22.4%
8 23
 
11.7%
5 23
 
11.7%
2 5
 
2.6%
3 3
 
1.5%
6 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 14
60.9%
· 4
 
17.4%
& 3
 
13.0%
# 2
 
8.7%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
ⓝ 1
50.0%
Space Separator
ValueCountFrequency (%)
315
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7364
89.9%
Common 659
 
8.0%
Latin 167
 
2.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1082
 
14.7%
경 1081
 
14.7%
원 402
 
5.5%
점 285
 
3.9%
이 271
 
3.7%
아 216
 
2.9%
스 190
 
2.6%
리 129
 
1.8%
트 90
 
1.2%
러 80
 
1.1%
Other values (348) 3538
48.0%
Latin
ValueCountFrequency (%)
O 13
 
7.8%
e 13
 
7.8%
n 9
 
5.4%
c 8
 
4.8%
a 8
 
4.8%
S 8
 
4.8%
E 8
 
4.8%
o 6
 
3.6%
L 6
 
3.6%
l 6
 
3.6%
Other values (30) 82
49.1%
Common
ValueCountFrequency (%)
315
47.8%
0 97
 
14.7%
) 60
 
9.1%
( 60
 
9.1%
1 44
 
6.7%
8 23
 
3.5%
5 23
 
3.5%
. 14
 
2.1%
2 5
 
0.8%
· 4
 
0.6%
Other values (7) 14
 
2.1%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7363
89.9%
ASCII 821
 
10.0%
None 5
 
0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1082
 
14.7%
경 1081
 
14.7%
원 402
 
5.5%
점 285
 
3.9%
이 271
 
3.7%
아 216
 
2.9%
스 190
 
2.6%
리 129
 
1.8%
트 90
 
1.2%
러 80
 
1.1%
Other values (347) 3537
48.0%
ASCII
ValueCountFrequency (%)
315
38.4%
0 97
 
11.8%
) 60
 
7.3%
( 60
 
7.3%
1 44
 
5.4%
8 23
 
2.8%
5 23
 
2.8%
. 14
 
1.7%
O 13
 
1.6%
e 13
 
1.6%
Other values (45) 159
19.4%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1167
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152158 × 1013
Minimum2.008112 × 1013
Maximum2.0220531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:14.928456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120509 × 1013
median2.0150817 × 1013
Q32.0190326 × 1013
95-th percentile2.0211116 × 1013
Maximum2.0220531 × 1013
Range1.3941096 × 1011
Interquartile range (IQR)6.9817017 × 1010

Descriptive statistics

Standard deviation4.1031904 × 1010
Coefficient of variation (CV)0.0020361048
Kurtosis-1.168959
Mean2.0152158 × 1013
Median Absolute Deviation (MAD)3.0601969 × 1010
Skewness-0.019370214
Sum2.4041524 × 1016
Variance1.6836172 × 1021
MonotonicityNot monotonic
2024-04-21T19:24:15.377848image/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%
20090209151337 1
 
0.1%
20090209151001 1
 
0.1%
20090209150705 1
 
0.1%
20090209150435 1
 
0.1%
20090209150211 1
 
0.1%
20090209145755 1
 
0.1%
Other values (1157) 1157
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 (%)
20220531101557 1
0.1%
20220525172506 1
0.1%
20220524170243 1
0.1%
20220511173056 1
0.1%
20220510114208 1
0.1%
20220510113129 1
0.1%
20220506174226 1
0.1%
20220504091724 1
0.1%
20220503171513 1
0.1%
20220427160116 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
I
927 
U
266 

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 927
77.7%
U 266
 
22.3%

Length

2024-04-21T19:24:15.802300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:16.101503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 927
77.7%
u 266
 
22.3%

데이터갱신일자
Date

Distinct311
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-06-02 02:40:00
2024-04-21T19:24:16.423582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:24:17.077281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1193
Missing (%)100.0%
Memory size10.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct950
Distinct (%)85.4%
Missing81
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean388064.63
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:17.482379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379693.85
Q1384875.27
median388514.24
Q3391224.22
95-th percentile397398.05
Maximum403236.19
Range36128.006
Interquartile range (IQR)6348.943

Descriptive statistics

Standard deviation5255.7356
Coefficient of variation (CV)0.013543454
Kurtosis0.44701344
Mean388064.63
Median Absolute Deviation (MAD)3175.3317
Skewness-0.025777793
Sum4.3152786 × 108
Variance27622756
MonotonicityNot monotonic
2024-04-21T19:24:17.929050image/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%
398237.363461482 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%
393952.264486105 4
 
0.3%
Other values (940) 1060
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%
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%
401687.081587248 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct951
Distinct (%)85.5%
Missing81
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean187326.88
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:18.336774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178718.01
Q1183542.35
median187069.33
Q3191799.59
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8257.2376

Descriptive statistics

Standard deviation5840.5196
Coefficient of variation (CV)0.031178224
Kurtosis-0.15981749
Mean187326.88
Median Absolute Deviation (MAD)4358.2146
Skewness0.18460683
Sum2.0830749 × 108
Variance34111669
MonotonicityNot monotonic
2024-04-21T19:24:18.761992image/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%
187720.511056894 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%
187602.933160728 4
 
0.3%
Other values (941) 1060
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
980 
0
171 
2
 
35
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0125733
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 980
82.1%
0 171
 
14.3%
2 35
 
2.9%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:24:19.197280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:19.529759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 980
82.1%
0 171
 
14.3%
2 35
 
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
904 
0
216 
<NA>
 
33
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.0846605
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 904
75.8%
0 216
 
18.1%
<NA> 33
 
2.8%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:24:19.908295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:20.246219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 904
75.8%
0 216
 
18.1%
na 33
 
2.8%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing41
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.87586806
Minimum0
Maximum11
Zeros217
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:20.565878image/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 deviation0.59043133
Coefficient of variation (CV)0.6741099
Kurtosis78.621944
Mean0.87586806
Median Absolute Deviation (MAD)0
Skewness4.8821693
Sum1009
Variance0.34860915
MonotonicityNot monotonic
2024-04-21T19:24:20.899165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 883
74.0%
0 217
 
18.2%
2 43
 
3.6%
3 4
 
0.3%
4 3
 
0.3%
5 1
 
0.1%
11 1
 
0.1%
(Missing) 41
 
3.4%
ValueCountFrequency (%)
0 217
 
18.2%
1 883
74.0%
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%
1 883
74.0%
0 217
 
18.2%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.92676768
Minimum0
Maximum10
Zeros173
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:21.235525image/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 deviation0.59386699
Coefficient of variation (CV)0.64079381
Kurtosis56.483353
Mean0.92676768
Median Absolute Deviation (MAD)0
Skewness4.6151422
Sum1101
Variance0.352678
MonotonicityNot monotonic
2024-04-21T19:24:21.578576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 966
81.0%
0 173
 
14.5%
2 32
 
2.7%
3 8
 
0.7%
5 5
 
0.4%
4 3
 
0.3%
10 1
 
0.1%
(Missing) 5
 
0.4%
ValueCountFrequency (%)
0 173
 
14.5%
1 966
81.0%
2 32
 
2.7%
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 32
 
2.7%
1 966
81.0%
0 173
 
14.5%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
871 
0
171 
2
107 
3
 
31
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0176027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 871
73.0%
0 171
 
14.3%
2 107
 
9.0%
3 31
 
2.6%
<NA> 7
 
0.6%
4 6
 
0.5%

Length

2024-04-21T19:24:21.974209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:22.314010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 871
73.0%
0 171
 
14.3%
2 107
 
9.0%
3 31
 
2.6%
na 7
 
0.6%
4 6
 
0.5%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
901 
0
220 
<NA>
 
44
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1106454
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 901
75.5%
0 220
 
18.4%
<NA> 44
 
3.7%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:24:22.704423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:23.037261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 901
75.5%
0 220
 
18.4%
na 44
 
3.7%
2 27
 
2.3%
3 1
 
0.1%

렌즈절단기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
1
910 
0
220 
<NA>
 
43
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1081308
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 910
76.3%
0 220
 
18.4%
<NA> 43
 
3.6%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:24:23.414305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:24:23.747574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 910
76.3%
0 220
 
18.4%
na 43
 
3.6%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing44
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean0.92254134
Minimum0
Maximum5
Zeros219
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:24.057375image/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 deviation0.58293546
Coefficient of variation (CV)0.63188004
Kurtosis5.3709973
Mean0.92254134
Median Absolute Deviation (MAD)0
Skewness0.88183123
Sum1060
Variance0.33981375
MonotonicityNot monotonic
2024-04-21T19:24:24.397554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 817
68.5%
0 219
 
18.4%
2 101
 
8.5%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 44
 
3.7%
ValueCountFrequency (%)
0 219
 
18.4%
1 817
68.5%
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%
1 817
68.5%
0 219
 
18.4%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing43
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean0.95565217
Minimum0
Maximum5
Zeros218
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:24.727373image/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 deviation0.62214588
Coefficient of variation (CV)0.65101708
Kurtosis3.3840883
Mean0.95565217
Median Absolute Deviation (MAD)0
Skewness0.83367401
Sum1099
Variance0.3870655
MonotonicityNot monotonic
2024-04-21T19:24:25.068392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 791
66.3%
0 218
 
18.3%
2 119
 
10.0%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 43
 
3.6%
ValueCountFrequency (%)
0 218
 
18.3%
1 791
66.3%
2 119
 
10.0%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 2
 
0.2%
3 19
 
1.6%
2 119
 
10.0%
1 791
66.3%
0 218
 
18.3%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct517
Distinct (%)73.8%
Missing492
Missing (%)41.2%
Infinite0
Infinite (%)0.0%
Mean75.830171
Minimum0
Maximum723.02
Zeros83
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-21T19:24:25.438240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median59.4
Q399
95-th percentile211.56
Maximum723.02
Range723.02
Interquartile range (IQR)66

Descriptive statistics

Standard deviation72.526782
Coefficient of variation (CV)0.95643701
Kurtosis17.617314
Mean75.830171
Median Absolute Deviation (MAD)32.36
Skewness2.9524828
Sum53156.95
Variance5260.1341
MonotonicityNot monotonic
2024-04-21T19:24:25.881135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 83
 
7.0%
33.0 10
 
0.8%
66.0 5
 
0.4%
49.5 5
 
0.4%
60.0 5
 
0.4%
57.6 4
 
0.3%
99.0 4
 
0.3%
56.0 4
 
0.3%
46.2 4
 
0.3%
40.0 3
 
0.3%
Other values (507) 574
48.1%
(Missing) 492
41.2%
ValueCountFrequency (%)
0.0 83
7.0%
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%
11.22 1
 
0.1%
11.5 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 

Missing1193
Missing (%)100.0%
Memory size10.6 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
11831184안경업01_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>
11841185안경업01_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>
11851186안경업01_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>
11861187안경업01_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>
11871188안경업01_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>
11881189안경업01_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>
11891190안경업01_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>
11901191안경업01_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>
11911192안경업01_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>
11921193안경업01_02_01_P3400000PHMB22022340001308220000220220524<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 일광읍 삼성리 825-2 일광제일프라자부산광역시 기장군 일광읍 해빛로 13, 일광제일프라자 상가동 202호46048오늘 안경원(see channel)20220524170243I2022-05-26 00:22:31.0<NA><NA><NA>100110000107.62<NA>