Overview

Dataset statistics

Number of variables39
Number of observations1158
Missing cells10780
Missing cells (%)23.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory384.6 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2021-08-01
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 (64.2%)Imbalance
표본렌즈수 is highly imbalanced (59.3%)Imbalance
정점굴절계기수 is highly imbalanced (51.6%)Imbalance
조제용연마기수 is highly imbalanced (55.5%)Imbalance
렌즈절단기수 is highly imbalanced (57.3%)Imbalance
인허가취소일자 has 1158 (100.0%) missing valuesMissing
폐업일자 has 762 (65.8%) missing valuesMissing
휴업시작일자 has 1158 (100.0%) missing valuesMissing
휴업종료일자 has 1158 (100.0%) missing valuesMissing
재개업일자 has 1158 (100.0%) missing valuesMissing
소재지전화 has 172 (14.9%) missing valuesMissing
소재지면적 has 1158 (100.0%) missing valuesMissing
소재지우편번호 has 475 (41.0%) missing valuesMissing
소재지전체주소 has 96 (8.3%) missing valuesMissing
도로명전체주소 has 82 (7.1%) missing valuesMissing
도로명우편번호 has 256 (22.1%) missing valuesMissing
업태구분명 has 1158 (100.0%) missing valuesMissing
좌표정보(x) has 77 (6.6%) missing valuesMissing
좌표정보(y) has 77 (6.6%) missing valuesMissing
측정의자수 has 50 (4.3%) missing valuesMissing
가열기수 has 54 (4.7%) missing valuesMissing
안경세척기수 has 53 (4.6%) missing valuesMissing
총면적 has 515 (44.5%) missing valuesMissing
Unnamed: 38 has 1158 (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 172 (14.9%) zerosZeros
동공거리측정기수 has 174 (15.0%) zerosZeros
가열기수 has 173 (14.9%) zerosZeros
안경세척기수 has 172 (14.9%) zerosZeros
총면적 has 66 (5.7%) zerosZeros

Reproduction

Analysis started2024-04-21 10:30:56.948149
Analysis finished2024-04-21 10:30:58.336549
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean579.5
Minimum1
Maximum1158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:30:58.463122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.85
Q1290.25
median579.5
Q3868.75
95-th percentile1100.15
Maximum1158
Range1157
Interquartile range (IQR)578.5

Descriptive statistics

Standard deviation334.43011
Coefficient of variation (CV)0.57710114
Kurtosis-1.2
Mean579.5
Median Absolute Deviation (MAD)289.5
Skewness0
Sum671061
Variance111843.5
MonotonicityStrictly increasing
2024-04-21T19:30:58.716956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
726 1
 
0.1%
778 1
 
0.1%
777 1
 
0.1%
776 1
 
0.1%
775 1
 
0.1%
774 1
 
0.1%
773 1
 
0.1%
772 1
 
0.1%
771 1
 
0.1%
Other values (1148) 1148
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 (%)
1158 1
0.1%
1157 1
0.1%
1156 1
0.1%
1155 1
0.1%
1154 1
0.1%
1153 1
0.1%
1152 1
0.1%
1151 1
0.1%
1150 1
0.1%
1149 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
안경업
1158 

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 1158
100.0%

Length

2024-04-21T19:30:58.947572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:59.107553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1158
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
01_02_01_P
1158 

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 1158
100.0%

Length

2024-04-21T19:30:59.270714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:30:59.431358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1158
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325207.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:30:59.579944image/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 deviation39745.303
Coefficient of variation (CV)0.011952729
Kurtosis-0.73315001
Mean3325207.3
Median Absolute Deviation (MAD)30000
Skewness-0.062335754
Sum3.85059 × 109
Variance1.5796891 × 109
MonotonicityNot monotonic
2024-04-21T19:30:59.793156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 176
15.2%
3290000 142
12.3%
3310000 115
9.9%
3330000 99
8.5%
3340000 91
7.9%
3300000 85
7.3%
3250000 78
6.7%
3390000 66
 
5.7%
3320000 64
 
5.5%
3370000 64
 
5.5%
Other values (6) 178
15.4%
ValueCountFrequency (%)
3250000 78
6.7%
3260000 22
 
1.9%
3270000 27
 
2.3%
3280000 27
 
2.3%
3290000 142
12.3%
3300000 85
7.3%
3310000 115
9.9%
3320000 64
5.5%
3330000 99
8.5%
3340000 91
7.9%
ValueCountFrequency (%)
3400000 33
 
2.8%
3390000 66
 
5.7%
3380000 52
 
4.5%
3370000 64
 
5.5%
3360000 17
 
1.5%
3350000 176
15.2%
3340000 91
7.9%
3330000 99
8.5%
3320000 64
 
5.5%
3310000 115
9.9%

관리번호
Text

UNIQUE 

Distinct1158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-04-21T19:31:00.435015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters28950
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

Unique1158 ?
Unique (%)100.0%

Sample

1st rowPHMB219843250021082200001
2nd rowPHMB220123370022082200002
3rd rowPHMB219953290024082200001
4th rowPHMB220153290024082200006
5th rowPHMB220103390023082200001
ValueCountFrequency (%)
phmb219843250021082200001 1
 
0.1%
phmb220163310024082200004 1
 
0.1%
phmb219823390023082200003 1
 
0.1%
phmb219983390023082200001 1
 
0.1%
phmb219963390023082200001 1
 
0.1%
phmb220173390023082200002 1
 
0.1%
phmb220173390023082200001 1
 
0.1%
phmb219853390023082200002 1
 
0.1%
phmb220143390023082200001 1
 
0.1%
phmb220163390023082200003 1
 
0.1%
Other values (1148) 1148
99.1%
2024-04-21T19:31:01.287136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9464
32.7%
2 6173
21.3%
3 2539
 
8.8%
1 1596
 
5.5%
8 1494
 
5.2%
P 1158
 
4.0%
H 1158
 
4.0%
M 1158
 
4.0%
B 1158
 
4.0%
4 1032
 
3.6%
Other values (4) 2020
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24318
84.0%
Uppercase Letter 4632
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9464
38.9%
2 6173
25.4%
3 2539
 
10.4%
1 1596
 
6.6%
8 1494
 
6.1%
4 1032
 
4.2%
9 972
 
4.0%
5 586
 
2.4%
7 251
 
1.0%
6 211
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1158
25.0%
H 1158
25.0%
M 1158
25.0%
B 1158
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24318
84.0%
Latin 4632
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9464
38.9%
2 6173
25.4%
3 2539
 
10.4%
1 1596
 
6.6%
8 1494
 
6.1%
4 1032
 
4.2%
9 972
 
4.0%
5 586
 
2.4%
7 251
 
1.0%
6 211
 
0.9%
Latin
ValueCountFrequency (%)
P 1158
25.0%
H 1158
25.0%
M 1158
25.0%
B 1158
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9464
32.7%
2 6173
21.3%
3 2539
 
8.8%
1 1596
 
5.5%
8 1494
 
5.2%
P 1158
 
4.0%
H 1158
 
4.0%
M 1158
 
4.0%
B 1158
 
4.0%
4 1032
 
3.6%
Other values (4) 2020
 
7.0%

인허가일자
Real number (ℝ)

Distinct1061
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20038229
Minimum19710518
Maximum20210624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:01.715131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850598
Q119953454
median20051162
Q320130310
95-th percentile20190739
Maximum20210624
Range500106
Interquartile range (IQR)176855.75

Descriptive statistics

Standard deviation108857.51
Coefficient of variation (CV)0.0054324914
Kurtosis-0.75450895
Mean20038229
Median Absolute Deviation (MAD)88947.5
Skewness-0.4112432
Sum2.320427 × 1010
Variance1.1849957 × 1010
MonotonicityNot monotonic
2024-04-21T19:31:02.114965image/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%
20090928 2
 
0.2%
20161124 2
 
0.2%
20020326 2
 
0.2%
20160422 2
 
0.2%
20061222 2
 
0.2%
20001128 2
 
0.2%
Other values (1051) 1123
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 (%)
20210624 1
0.1%
20210623 1
0.1%
20210610 1
0.1%
20210601 1
0.1%
20210528 1
0.1%
20210512 1
0.1%
20210504 1
0.1%
20210423 1
0.1%
20210409 1
0.1%
20210311 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1158
Missing (%)100.0%
Memory size10.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
1
747 
3
403 
4
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 747
64.5%
3 403
34.8%
4 8
 
0.7%

Length

2024-04-21T19:31:02.353150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:02.522885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 747
64.5%
3 403
34.8%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
영업/정상
747 
폐업
403 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.0181347
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 747
64.5%
폐업 403
34.8%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:31:02.710594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:02.890779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 747
64.5%
폐업 403
34.8%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
13
747 
3
403 
24
 
8

Length

Max length2
Median length2
Mean length1.6519862
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24
2nd row24
3rd row24
4th row24
5th row24

Common Values

ValueCountFrequency (%)
13 747
64.5%
3 403
34.8%
24 8
 
0.7%

Length

2024-04-21T19:31:03.080326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:03.264704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 747
64.5%
3 403
34.8%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
영업중
747 
폐업
403 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6588946
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 747
64.5%
폐업 403
34.8%
직권폐업 8
 
0.7%

Length

2024-04-21T19:31:03.480942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:03.685638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 747
64.5%
폐업 403
34.8%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct365
Distinct (%)92.2%
Missing762
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean20101776
Minimum19851128
Maximum20210630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:03.885549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19921015
Q120080272
median20120170
Q320170829
95-th percentile20210226
Maximum20210630
Range359502
Interquartile range (IQR)90557

Descriptive statistics

Standard deviation86438.453
Coefficient of variation (CV)0.0043000407
Kurtosis-0.24368177
Mean20101776
Median Absolute Deviation (MAD)50395.5
Skewness-0.87100107
Sum7.9603032 × 109
Variance7.4716061 × 109
MonotonicityNot monotonic
2024-04-21T19:31:04.150681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20170222 2
 
0.2%
20100803 2
 
0.2%
20091028 2
 
0.2%
20110131 2
 
0.2%
20110211 2
 
0.2%
20110216 2
 
0.2%
20110418 2
 
0.2%
20181112 2
 
0.2%
20120508 2
 
0.2%
Other values (355) 375
32.4%
(Missing) 762
65.8%
ValueCountFrequency (%)
19851128 1
0.1%
19900226 1
0.1%
19900507 1
0.1%
19900514 1
0.1%
19900927 1
0.1%
19901128 1
0.1%
19910122 1
0.1%
19910314 1
0.1%
19910406 2
0.2%
19910531 2
0.2%
ValueCountFrequency (%)
20210630 1
0.1%
20210625 1
0.1%
20210623 2
0.2%
20210531 1
0.1%
20210529 1
0.1%
20210528 1
0.1%
20210527 1
0.1%
20210520 1
0.1%
20210503 1
0.1%
20210426 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1158
Missing (%)100.0%
Memory size10.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1158
Missing (%)100.0%
Memory size10.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1158
Missing (%)100.0%
Memory size10.3 KiB

소재지전화
Text

MISSING 

Distinct933
Distinct (%)94.6%
Missing172
Missing (%)14.9%
Memory size9.2 KiB
2024-04-21T19:31:05.093513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.278905
Min length7

Characters and Unicode

Total characters11121
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

Unique888 ?
Unique (%)90.1%

Sample

1st row051-463-0479
2nd row051-868-7488
3rd row051-805-3306
4th row051-808-7088
5th row051-808-7088
ValueCountFrequency (%)
051-808-7088 4
 
0.4%
051-337-7111 3
 
0.3%
051-623-7778 3
 
0.3%
051-625-8471 3
 
0.3%
261-6700 3
 
0.3%
051-647-5766 3
 
0.3%
051-816-4500 3
 
0.3%
051-204-2727 2
 
0.2%
051-751-5005 2
 
0.2%
051-625-6335 2
 
0.2%
Other values (923) 958
97.2%
2024-04-21T19:31:06.045552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1733
15.6%
0 1689
15.2%
5 1540
13.8%
1 1536
13.8%
2 832
7.5%
8 696
6.3%
6 691
 
6.2%
7 683
 
6.1%
3 682
 
6.1%
4 618
 
5.6%
Other values (4) 421
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9345
84.0%
Dash Punctuation 1733
 
15.6%
Close Punctuation 39
 
0.4%
Math Symbol 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1689
18.1%
5 1540
16.5%
1 1536
16.4%
2 832
8.9%
8 696
7.4%
6 691
7.4%
7 683
7.3%
3 682
7.3%
4 618
 
6.6%
9 378
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1733
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 11121
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1733
15.6%
0 1689
15.2%
5 1540
13.8%
1 1536
13.8%
2 832
7.5%
8 696
6.3%
6 691
 
6.2%
7 683
 
6.1%
3 682
 
6.1%
4 618
 
5.6%
Other values (4) 421
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1733
15.6%
0 1689
15.2%
5 1540
13.8%
1 1536
13.8%
2 832
7.5%
8 696
6.3%
6 691
 
6.2%
7 683
 
6.1%
3 682
 
6.1%
4 618
 
5.6%
Other values (4) 421
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1158
Missing (%)100.0%
Memory size10.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)49.9%
Missing475
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean608173.35
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:06.281346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48272
5-th percentile601812
Q1607832
median609839
Q3614042.5
95-th percentile617728.1
Maximum619963
Range571691
Interquartile range (IQR)6210.5

Descriptive statistics

Standard deviation37481.271
Coefficient of variation (CV)0.061629256
Kurtosis217.43999
Mean608173.35
Median Absolute Deviation (MAD)3968
Skewness-14.677279
Sum4.153824 × 108
Variance1.4048457 × 109
MonotonicityNot monotonic
2024-04-21T19:31:06.520976image/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%
608805 7
 
0.6%
611089 7
 
0.6%
609800 7
 
0.6%
616852 7
 
0.6%
609822 7
 
0.6%
614030 7
 
0.6%
604851 6
 
0.5%
Other values (331) 586
50.6%
(Missing) 475
41.0%
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 

Distinct1011
Distinct (%)95.2%
Missing96
Missing (%)8.3%
Memory size9.2 KiB
2024-04-21T19:31:07.806640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.190207
Min length3

Characters and Unicode

Total characters25690
Distinct characters304
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique966 ?
Unique (%)91.0%

Sample

1st row부산광역시 중구 영주1동 26-1
2nd row부산광역시 연제구 거제1동 2번지 60호
3rd row부산광역시 부산진구 부전동 256번지 6호 14통
4th row부산광역시 부산진구 초읍동 271번지 1호
5th row부산광역시 사상구 괘법동 546번지 1호 (105호)
ValueCountFrequency (%)
부산광역시 1033
 
19.2%
금정구 170
 
3.2%
부산진구 137
 
2.5%
1호 123
 
2.3%
남구 106
 
2.0%
사하구 84
 
1.6%
동래구 80
 
1.5%
중구 74
 
1.4%
해운대구 69
 
1.3%
1층 67
 
1.2%
Other values (1366) 3439
63.9%
2024-04-21T19:31:09.333403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4335
 
16.9%
1 1380
 
5.4%
부 1331
 
5.2%
산 1271
 
4.9%
동 1184
 
4.6%
시 1074
 
4.2%
구 1068
 
4.2%
광 1063
 
4.1%
역 1036
 
4.0%
2 904
 
3.5%
Other values (294) 11044
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15279
59.5%
Decimal Number 5634
 
21.9%
Space Separator 4335
 
16.9%
Dash Punctuation 267
 
1.0%
Uppercase Letter 63
 
0.2%
Other Punctuation 46
 
0.2%
Close Punctuation 31
 
0.1%
Open Punctuation 31
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1331
 
8.7%
산 1271
 
8.3%
동 1184
 
7.7%
시 1074
 
7.0%
구 1068
 
7.0%
광 1063
 
7.0%
역 1036
 
6.8%
지 835
 
5.5%
호 798
 
5.2%
번 786
 
5.1%
Other values (260) 4833
31.6%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
K 10
15.9%
B 7
11.1%
A 6
9.5%
H 5
7.9%
C 5
7.9%
E 5
7.9%
U 4
 
6.3%
Y 4
 
6.3%
G 2
 
3.2%
Other values (3) 4
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 1380
24.5%
2 904
16.0%
3 634
11.3%
4 541
 
9.6%
5 467
 
8.3%
0 395
 
7.0%
6 361
 
6.4%
7 338
 
6.0%
8 315
 
5.6%
9 299
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 38
82.6%
. 5
 
10.9%
@ 2
 
4.3%
/ 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
4335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 267
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15279
59.5%
Common 10346
40.3%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1331
 
8.7%
산 1271
 
8.3%
동 1184
 
7.7%
시 1074
 
7.0%
구 1068
 
7.0%
광 1063
 
7.0%
역 1036
 
6.8%
지 835
 
5.5%
호 798
 
5.2%
번 786
 
5.1%
Other values (260) 4833
31.6%
Common
ValueCountFrequency (%)
4335
41.9%
1 1380
 
13.3%
2 904
 
8.7%
3 634
 
6.1%
4 541
 
5.2%
5 467
 
4.5%
0 395
 
3.8%
6 361
 
3.5%
7 338
 
3.3%
8 315
 
3.0%
Other values (9) 676
 
6.5%
Latin
ValueCountFrequency (%)
S 11
16.9%
K 10
15.4%
B 7
10.8%
A 6
9.2%
H 5
7.7%
C 5
7.7%
E 5
7.7%
U 4
 
6.2%
Y 4
 
6.2%
G 2
 
3.1%
Other values (5) 6
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15279
59.5%
ASCII 10411
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4335
41.6%
1 1380
 
13.3%
2 904
 
8.7%
3 634
 
6.1%
4 541
 
5.2%
5 467
 
4.5%
0 395
 
3.8%
6 361
 
3.5%
7 338
 
3.2%
8 315
 
3.0%
Other values (24) 741
 
7.1%
Hangul
ValueCountFrequency (%)
부 1331
 
8.7%
산 1271
 
8.3%
동 1184
 
7.7%
시 1074
 
7.0%
구 1068
 
7.0%
광 1063
 
7.0%
역 1036
 
6.8%
지 835
 
5.5%
호 798
 
5.2%
번 786
 
5.1%
Other values (260) 4833
31.6%

도로명전체주소
Text

MISSING 

Distinct1001
Distinct (%)93.0%
Missing82
Missing (%)7.1%
Memory size9.2 KiB
2024-04-21T19:31:10.518371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length27.973978
Min length20

Characters and Unicode

Total characters30100
Distinct characters347
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

Unique940 ?
Unique (%)87.4%

Sample

1st row부산광역시 연제구 거제천로 191 (거제동)
2nd row부산광역시 부산진구 서면로 56 (부전동)
3rd row부산광역시 부산진구 새싹로 237, 102호 (초읍동, 창곡종합시장)
4th row부산광역시 사상구 사상로 200 (괘법동)
5th row부산광역시 금정구 온천장로 136-1, 패밀리외과병원 1층 (장전동)
ValueCountFrequency (%)
부산광역시 1077
 
17.8%
1층 160
 
2.6%
금정구 154
 
2.5%
부산진구 136
 
2.3%
해운대구 98
 
1.6%
남구 92
 
1.5%
사하구 87
 
1.4%
동래구 84
 
1.4%
중구 74
 
1.2%
부전동 68
 
1.1%
Other values (1330) 4011
66.4%
2024-04-21T19:31:11.942266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4969
 
16.5%
부 1365
 
4.5%
동 1359
 
4.5%
산 1314
 
4.4%
광 1158
 
3.8%
시 1157
 
3.8%
구 1111
 
3.7%
역 1079
 
3.6%
) 1064
 
3.5%
( 1064
 
3.5%
Other values (337) 14460
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18005
59.8%
Space Separator 4969
 
16.5%
Decimal Number 4237
 
14.1%
Close Punctuation 1064
 
3.5%
Open Punctuation 1064
 
3.5%
Other Punctuation 516
 
1.7%
Dash Punctuation 162
 
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 1365
 
7.6%
동 1359
 
7.5%
산 1314
 
7.3%
광 1158
 
6.4%
시 1157
 
6.4%
구 1111
 
6.2%
역 1079
 
6.0%
로 1060
 
5.9%
대 574
 
3.2%
정 257
 
1.4%
Other values (302) 7571
42.0%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.7%
K 12
16.9%
B 11
15.5%
C 5
 
7.0%
A 5
 
7.0%
H 5
 
7.0%
G 4
 
5.6%
U 4
 
5.6%
Y 4
 
5.6%
E 3
 
4.2%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1059
25.0%
2 648
15.3%
3 398
 
9.4%
0 370
 
8.7%
4 361
 
8.5%
5 314
 
7.4%
7 313
 
7.4%
6 289
 
6.8%
9 247
 
5.8%
8 238
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
b 1
20.0%
h 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 512
99.2%
. 4
 
0.8%
Space Separator
ValueCountFrequency (%)
4969
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1064
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1064
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18005
59.8%
Common 12019
39.9%
Latin 76
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1365
 
7.6%
동 1359
 
7.5%
산 1314
 
7.3%
광 1158
 
6.4%
시 1157
 
6.4%
구 1111
 
6.2%
역 1079
 
6.0%
로 1060
 
5.9%
대 574
 
3.2%
정 257
 
1.4%
Other values (302) 7571
42.0%
Latin
ValueCountFrequency (%)
S 14
18.4%
K 12
15.8%
B 11
14.5%
C 5
 
6.6%
A 5
 
6.6%
H 5
 
6.6%
G 4
 
5.3%
U 4
 
5.3%
Y 4
 
5.3%
E 3
 
3.9%
Other values (8) 9
11.8%
Common
ValueCountFrequency (%)
4969
41.3%
) 1064
 
8.9%
( 1064
 
8.9%
1 1059
 
8.8%
2 648
 
5.4%
, 512
 
4.3%
3 398
 
3.3%
0 370
 
3.1%
4 361
 
3.0%
5 314
 
2.6%
Other values (7) 1260
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18005
59.8%
ASCII 12095
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4969
41.1%
) 1064
 
8.8%
( 1064
 
8.8%
1 1059
 
8.8%
2 648
 
5.4%
, 512
 
4.2%
3 398
 
3.3%
0 370
 
3.1%
4 361
 
3.0%
5 314
 
2.6%
Other values (25) 1336
 
11.0%
Hangul
ValueCountFrequency (%)
부 1365
 
7.6%
동 1359
 
7.5%
산 1314
 
7.3%
광 1158
 
6.4%
시 1157
 
6.4%
구 1111
 
6.2%
역 1079
 
6.0%
로 1060
 
5.9%
대 574
 
3.2%
정 257
 
1.4%
Other values (302) 7571
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct534
Distinct (%)59.2%
Missing256
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean84109.407
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:12.336851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46244.05
Q147134.5
median47864.5
Q348945
95-th percentile608805
Maximum619963
Range573959
Interquartile range (IQR)1810.5

Descriptive statistics

Standard deviation138550.99
Coefficient of variation (CV)1.647271
Kurtosis10.690121
Mean84109.407
Median Absolute Deviation (MAD)870.5
Skewness3.5586803
Sum75866685
Variance1.9196377 × 1010
MonotonicityNot monotonic
2024-04-21T19:31:12.748008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48946 20
 
1.7%
48953 13
 
1.1%
46291 11
 
0.9%
48945 10
 
0.9%
47295 8
 
0.7%
46576 8
 
0.7%
47296 8
 
0.7%
46726 7
 
0.6%
48095 7
 
0.6%
47254 7
 
0.6%
Other values (524) 803
69.3%
(Missing) 256
 
22.1%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 2
0.2%
46010 1
 
0.1%
46015 4
0.3%
46017 1
 
0.1%
46029 1
 
0.1%
46048 2
0.2%
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

Distinct907
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-04-21T19:31:13.591008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.7141623
Min length2

Characters and Unicode

Total characters7775
Distinct characters411
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

Unique790 ?
Unique (%)68.2%

Sample

1st row부산당안경점
2nd row산타클로스안경
3rd row제일안경콘택트
4th row피카소안경원
5th row갤러리 안경
ValueCountFrequency (%)
안경원 65
 
4.5%
안경 43
 
3.0%
갤러리안경 30
 
2.1%
안경나라 21
 
1.5%
눈사랑안경 18
 
1.3%
갤러리안경원 13
 
0.9%
초이스안경 13
 
0.9%
오렌즈 12
 
0.8%
제일안경원 11
 
0.8%
세컨페이스 10
 
0.7%
Other values (913) 1200
83.6%
2024-04-21T19:31:14.583666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1053
 
13.5%
경 1051
 
13.5%
원 400
 
5.1%
278
 
3.6%
점 261
 
3.4%
이 259
 
3.3%
아 202
 
2.6%
스 179
 
2.3%
리 124
 
1.6%
0 90
 
1.2%
Other values (401) 3878
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7034
90.5%
Space Separator 278
 
3.6%
Decimal Number 180
 
2.3%
Uppercase Letter 85
 
1.1%
Lowercase Letter 58
 
0.7%
Close Punctuation 56
 
0.7%
Open Punctuation 56
 
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 1053
 
15.0%
경 1051
 
14.9%
원 400
 
5.7%
점 261
 
3.7%
이 259
 
3.7%
아 202
 
2.9%
스 179
 
2.5%
리 124
 
1.8%
트 84
 
1.2%
비 80
 
1.1%
Other values (344) 3341
47.5%
Uppercase Letter
ValueCountFrequency (%)
O 13
15.3%
E 8
 
9.4%
S 7
 
8.2%
L 6
 
7.1%
K 5
 
5.9%
G 5
 
5.9%
M 4
 
4.7%
C 4
 
4.7%
N 4
 
4.7%
I 4
 
4.7%
Other values (12) 25
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
12.1%
o 6
10.3%
i 6
10.3%
a 6
10.3%
c 6
10.3%
n 5
8.6%
t 5
8.6%
l 4
6.9%
p 3
 
5.2%
h 2
 
3.4%
Other values (7) 8
13.8%
Decimal Number
ValueCountFrequency (%)
0 90
50.0%
1 43
23.9%
8 23
 
12.8%
5 16
 
8.9%
2 4
 
2.2%
3 3
 
1.7%
6 1
 
0.6%
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 (%)
278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7034
90.5%
Common 597
 
7.7%
Latin 143
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1053
 
15.0%
경 1051
 
14.9%
원 400
 
5.7%
점 261
 
3.7%
이 259
 
3.7%
아 202
 
2.9%
스 179
 
2.5%
리 124
 
1.8%
트 84
 
1.2%
비 80
 
1.1%
Other values (344) 3341
47.5%
Latin
ValueCountFrequency (%)
O 13
 
9.1%
E 8
 
5.6%
e 7
 
4.9%
S 7
 
4.9%
o 6
 
4.2%
i 6
 
4.2%
a 6
 
4.2%
c 6
 
4.2%
L 6
 
4.2%
n 5
 
3.5%
Other values (29) 73
51.0%
Common
ValueCountFrequency (%)
278
46.6%
0 90
 
15.1%
) 56
 
9.4%
( 56
 
9.4%
1 43
 
7.2%
8 23
 
3.9%
5 16
 
2.7%
. 13
 
2.2%
· 4
 
0.7%
2 4
 
0.7%
Other values (7) 14
 
2.3%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7033
90.5%
ASCII 735
 
9.5%
None 5
 
0.1%
Enclosed Alphanum 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1053
 
15.0%
경 1051
 
14.9%
원 400
 
5.7%
점 261
 
3.7%
이 259
 
3.7%
아 202
 
2.9%
스 179
 
2.5%
리 124
 
1.8%
트 84
 
1.2%
비 80
 
1.1%
Other values (343) 3340
47.5%
ASCII
ValueCountFrequency (%)
278
37.8%
0 90
 
12.2%
) 56
 
7.6%
( 56
 
7.6%
1 43
 
5.9%
8 23
 
3.1%
5 16
 
2.2%
. 13
 
1.8%
O 13
 
1.8%
E 8
 
1.1%
Other values (44) 139
18.9%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1132
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0147545 × 1013
Minimum2.008112 × 1013
Maximum2.021063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:14.833881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120308 × 1013
median2.0150123 × 1013
Q32.0180618 × 1013
95-th percentile2.0210138 × 1013
Maximum2.021063 × 1013
Range1.2950995 × 1011
Interquartile range (IQR)6.0309526 × 1010

Descriptive statistics

Standard deviation3.7873463 × 1010
Coefficient of variation (CV)0.0018798054
Kurtosis-1.114683
Mean2.0147545 × 1013
Median Absolute Deviation (MAD)3.0004523 × 1010
Skewness-0.020618343
Sum2.3330857 × 1016
Variance1.4343992 × 1021
MonotonicityNot monotonic
2024-04-21T19:31:15.105572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183150 18
 
1.6%
20081215160833 6
 
0.5%
20081215160832 4
 
0.3%
20081201183151 2
 
0.2%
20111124092048 1
 
0.1%
20111124091836 1
 
0.1%
20181126120152 1
 
0.1%
20111123153919 1
 
0.1%
20111123154443 1
 
0.1%
20121220160844 1
 
0.1%
Other values (1122) 1122
96.9%
ValueCountFrequency (%)
20081120141639 1
 
0.1%
20081126140756 1
 
0.1%
20081126141153 1
 
0.1%
20081201183150 18
1.6%
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 (%)
20210630091632 1
0.1%
20210625145312 1
0.1%
20210625142048 1
0.1%
20210625091056 1
0.1%
20210624110636 1
0.1%
20210623165910 1
0.1%
20210623132419 1
0.1%
20210623114002 1
0.1%
20210622164851 1
0.1%
20210615140130 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
I
938 
U
220 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 938
81.0%
U 220
 
19.0%

Length

2024-04-21T19:31:15.345339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:15.508357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 938
81.0%
u 220
 
19.0%

데이터갱신일자
Date

Distinct241
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-07-02 02:40:00
2024-04-21T19:31:15.700753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:31:15.935441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1158
Missing (%)100.0%
Memory size10.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct927
Distinct (%)85.8%
Missing77
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean388112.71
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:16.176569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379710.92
Q1384883.11
median388648.63
Q3391283.63
95-th percentile397354.24
Maximum403236.19
Range36128.006
Interquartile range (IQR)6400.5215

Descriptive statistics

Standard deviation5238.4267
Coefficient of variation (CV)0.013497179
Kurtosis0.45901516
Mean388112.71
Median Absolute Deviation (MAD)3204.1875
Skewness-0.031370532
Sum4.1954984 × 108
Variance27441114
MonotonicityNot monotonic
2024-04-21T19:31:16.596423image/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%
387920.292112964 5
 
0.4%
389816.233000769 5
 
0.4%
389097.800933845 5
 
0.4%
389314.662085919 5
 
0.4%
384874.515689472 4
 
0.3%
395388.715069604 4
 
0.3%
393952.264486105 4
 
0.3%
398237.363461482 4
 
0.3%
Other values (917) 1030
88.9%
(Missing) 77
 
6.6%
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 

Distinct928
Distinct (%)85.8%
Missing77
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean187336.02
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:17.003115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178627.12
Q1183601.95
median187082.76
Q3191838.94
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8236.993

Descriptive statistics

Standard deviation5843.299
Coefficient of variation (CV)0.03119154
Kurtosis-0.18376123
Mean187336.02
Median Absolute Deviation (MAD)4370.676
Skewness0.17220684
Sum2.0251024 × 108
Variance34144143
MonotonicityNot monotonic
2024-04-21T19:31:17.422617image/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%
186157.316240551 5
 
0.4%
193329.605871168 5
 
0.4%
192260.811648263 5
 
0.4%
186268.853282623 4
 
0.3%
187602.933160728 4
 
0.3%
187720.511056894 4
 
0.3%
179553.867031936 4
 
0.3%
Other values (918) 1030
88.9%
(Missing) 77
 
6.6%
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 size9.2 KiB
1
949 
0
172 
2
 
30
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0129534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 949
82.0%
0 172
 
14.9%
2 30
 
2.6%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:31:17.854453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:18.186207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 949
82.0%
0 172
 
14.9%
2 30
 
2.6%
na 5
 
0.4%
3 2
 
0.2%

표본렌즈수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
1
905 
0
172 
<NA>
 
41
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.1079447
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 905
78.2%
0 172
 
14.9%
<NA> 41
 
3.5%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:31:18.560567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:18.893798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
78.2%
0 172
 
14.9%
na 41
 
3.5%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing50
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean0.91155235
Minimum0
Maximum11
Zeros172
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:19.213620image/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 deviation0.57447366
Coefficient of variation (CV)0.63021467
Kurtosis90.108692
Mean0.91155235
Median Absolute Deviation (MAD)0
Skewness5.4688931
Sum1010
Variance0.33001999
MonotonicityNot monotonic
2024-04-21T19:31:19.505491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
76.3%
0 172
 
14.9%
2 43
 
3.7%
3 4
 
0.3%
4 3
 
0.3%
11 1
 
0.1%
5 1
 
0.1%
(Missing) 50
 
4.3%
ValueCountFrequency (%)
0 172
 
14.9%
1 884
76.3%
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
76.3%
0 172
 
14.9%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.92107546
Minimum0
Maximum10
Zeros174
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:19.684430image/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 deviation0.59934706
Coefficient of variation (CV)0.65070354
Kurtosis56.1346
Mean0.92107546
Median Absolute Deviation (MAD)0
Skewness4.6106329
Sum1062
Variance0.3592169
MonotonicityNot monotonic
2024-04-21T19:31:19.868634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 932
80.5%
0 174
 
15.0%
2 31
 
2.7%
3 7
 
0.6%
5 5
 
0.4%
4 3
 
0.3%
10 1
 
0.1%
(Missing) 5
 
0.4%
ValueCountFrequency (%)
0 174
 
15.0%
1 932
80.5%
2 31
 
2.7%
3 7
 
0.6%
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 7
 
0.6%
2 31
 
2.7%
1 932
80.5%
0 174
 
15.0%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
1
847 
0
172 
2
100 
3
 
26
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0181347
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 847
73.1%
0 172
 
14.9%
2 100
 
8.6%
3 26
 
2.2%
<NA> 7
 
0.6%
4 6
 
0.5%

Length

2024-04-21T19:31:20.084195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:20.493678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 847
73.1%
0 172
 
14.9%
2 100
 
8.6%
3 26
 
2.2%
na 7
 
0.6%
4 6
 
0.5%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
1
902 
0
174 
<NA>
 
54
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1398964
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 902
77.9%
0 174
 
15.0%
<NA> 54
 
4.7%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:31:20.701368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:20.912721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 902
77.9%
0 174
 
15.0%
na 54
 
4.7%
2 27
 
2.3%
3 1
 
0.1%

렌즈절단기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
1
911 
0
175 
<NA>
 
52
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.134715
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 911
78.7%
0 175
 
15.1%
<NA> 52
 
4.5%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:31:21.290380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:31:21.621128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
78.7%
0 175
 
15.1%
na 52
 
4.5%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing54
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean0.96105072
Minimum0
Maximum5
Zeros173
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:21.932296image/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 deviation0.56276514
Coefficient of variation (CV)0.58557278
Kurtosis6.4284331
Mean0.96105072
Median Absolute Deviation (MAD)0
Skewness0.99822263
Sum1061
Variance0.31670461
MonotonicityNot monotonic
2024-04-21T19:31:22.272960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
70.6%
0 173
 
14.9%
2 101
 
8.7%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 54
 
4.7%
ValueCountFrequency (%)
0 173
 
14.9%
1 818
70.6%
2 101
 
8.7%
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
 
8.7%
1 818
70.6%
0 173
 
14.9%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing53
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean0.99547511
Minimum0
Maximum5
Zeros172
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:22.601113image/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 deviation0.60266421
Coefficient of variation (CV)0.60540359
Kurtosis4.0128586
Mean0.99547511
Median Absolute Deviation (MAD)0
Skewness0.92216938
Sum1100
Variance0.36320414
MonotonicityNot monotonic
2024-04-21T19:31:22.939700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
68.4%
0 172
 
14.9%
2 119
 
10.3%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 53
 
4.6%
ValueCountFrequency (%)
0 172
 
14.9%
1 792
68.4%
2 119
 
10.3%
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
 
10.3%
1 792
68.4%
0 172
 
14.9%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct481
Distinct (%)74.8%
Missing515
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean75.953701
Minimum0
Maximum723.02
Zeros66
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:31:23.308603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median58
Q397.86
95-th percentile211.404
Maximum723.02
Range723.02
Interquartile range (IQR)64.86

Descriptive statistics

Standard deviation72.437537
Coefficient of variation (CV)0.95370648
Kurtosis19.123642
Mean75.953701
Median Absolute Deviation (MAD)30.92
Skewness3.1074951
Sum48838.23
Variance5247.1968
MonotonicityNot monotonic
2024-04-21T19:31:23.745301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 66
 
5.7%
33.0 9
 
0.8%
66.0 5
 
0.4%
60.0 4
 
0.3%
57.6 4
 
0.3%
56.0 4
 
0.3%
46.2 4
 
0.3%
49.5 4
 
0.3%
114.0 3
 
0.3%
50.0 3
 
0.3%
Other values (471) 537
46.4%
(Missing) 515
44.5%
ValueCountFrequency (%)
0.0 66
5.7%
1.0 1
 
0.1%
2.0 1
 
0.1%
5.56 1
 
0.1%
5.61 2
 
0.2%
7.5 1
 
0.1%
8.5 1
 
0.1%
10.23 1
 
0.1%
11.5 1
 
0.1%
12.2 1
 
0.1%
ValueCountFrequency (%)
723.02 1
0.1%
700.0 1
0.1%
361.38 1
0.1%
336.9 1
0.1%
334.0 1
0.1%
329.12 1
0.1%
320.0 1
0.1%
304.5 1
0.1%
299.14 1
0.1%
295.0 1
0.1%

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1158
Missing (%)100.0%
Memory size10.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
01안경업01_02_01_P3250000PHMB21984325002108220000119841006<NA>4취소/말소/만료/정지/중지24직권폐업20090513<NA><NA><NA>051-463-0479<NA><NA>부산광역시 중구 영주1동 26-1<NA><NA>부산당안경점20121231102827I2018-08-31 23:59:59.0<NA><NA><NA>111111111<NA><NA>
12안경업01_02_01_P3370000PHMB22012337002208220000220121213<NA>4취소/말소/만료/정지/중지24직권폐업20190114<NA><NA><NA>051-868-7488<NA>611800부산광역시 연제구 거제1동 2번지 60호부산광역시 연제구 거제천로 191 (거제동)47522산타클로스안경20190111150127U2019-01-13 02:40:00.0<NA>389268.286625189861.16137711113112297.37<NA>
23안경업01_02_01_P3290000PHMB21995329002408220000119950516<NA>4취소/말소/만료/정지/중지24직권폐업20100322<NA><NA><NA>051-805-3306<NA>614032부산광역시 부산진구 부전동 256번지 6호 14통부산광역시 부산진구 서면로 56 (부전동)<NA>제일안경콘택트20131021110309I2018-08-31 23:59:59.0<NA>387468.480136185990.346087111111111<NA><NA>
34안경업01_02_01_P3290000PHMB22015329002408220000620150731<NA>4취소/말소/만료/정지/중지24직권폐업20180105<NA><NA><NA>051-808-7088<NA>614080부산광역시 부산진구 초읍동 271번지 1호부산광역시 부산진구 새싹로 237, 102호 (초읍동, 창곡종합시장)47108피카소안경원20180104133737I2018-08-31 23:59:59.0<NA>386481.395166188372.0918811111111155.0<NA>
45안경업01_02_01_P3390000PHMB22010339002308220000120100224<NA>4취소/말소/만료/정지/중지24직권폐업20160701<NA><NA><NA><NA><NA>617060부산광역시 사상구 괘법동 546번지 1호 (105호)부산광역시 사상구 사상로 200 (괘법동)46968갤러리 안경20180404161948I2018-08-31 23:59:59.0<NA>380748.884274186669.236718111111111119.62<NA>
56안경업01_02_01_P3350000PHMB22018335002408220000120150731<NA>4취소/말소/만료/정지/중지24직권폐업20191016<NA><NA><NA>051-808-7088<NA><NA>부산광역시 금정구 장전동 651번지 12호 패밀리외과병원부산광역시 금정구 온천장로 136-1, 패밀리외과병원 1층 (장전동)46301패밀리룩(LOOK)안경원20191016100255U2019-10-18 02:40:00.0<NA>389817.647326193473.41186822111111150.74<NA>
67안경업01_02_01_P3340000PHMB22016334002508220000120160112<NA>4취소/말소/만료/정지/중지24직권폐업20190910<NA><NA><NA>051-264-2134<NA><NA>부산광역시 사하구 다대동 36번지부산광역시 사하구 다대로429번길 9, 1층 (다대동)49518지니스안경원20190910151902U2019-09-12 02:40:00.0<NA>380590.120985175688.173024111111111106.24<NA>
78안경업01_02_01_P3320000PHMB22017332004508220000120170303<NA>4취소/말소/만료/정지/중지24직권폐업20190213<NA><NA><NA><NA><NA><NA><NA>부산광역시 북구 덕천로276번길 5 (만덕동, 동원맨션)46611안경하우스20190213105621U2019-02-15 02:40:00.0<NA>385250.135062191889.10297111111111166.0<NA>
89안경업01_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>
910안경업01_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
11481149안경업01_02_01_P3330000PHMB22009333002408220000820091012<NA>1영업/정상13영업중<NA><NA><NA><NA>701-3579<NA>612031부산광역시 해운대구 좌1동 395번지 3호 동우빌딩 1층부산광역시 해운대구 좌동로 104 (좌동,동우빌딩 1층)<NA>다비치안경20190215140531U2019-02-17 02:40:00.0<NA>398202.092657188114.588575111111111227.42<NA>
11491150안경업01_02_01_P3330000PHMB22008333002408220000720080430<NA>1영업/정상13영업중<NA><NA><NA><NA>543-6277<NA>612082부산광역시 해운대구 반송2동 40번지 1160호부산광역시 해운대구 반송로924번길 20 (반송동)<NA>크로바안경원20110922154631I2018-08-31 23:59:59.0<NA>396209.813911194626.75411811111111189.1<NA>
11501151안경업01_02_01_P3330000PHMB22001333002408220000120011204<NA>1영업/정상13영업중<NA><NA><NA><NA>543-2025<NA>612800부산광역시 해운대구 반송2동 62번지 450호부산광역시 해운대구 윗반송로 77 (반송동)<NA>이노티안경20091111154029I2018-08-31 23:59:59.0<NA>396318.990499194529.864217111111111<NA><NA>
11511152안경업01_02_01_P3330000PHMB22009333002408220000620090828<NA>1영업/정상13영업중<NA><NA><NA><NA>782-6000<NA>612062부산광역시 해운대구 반여2동 1291번지 201호부산광역시 해운대구 재반로 240 (반여동)<NA>SECOND FACE(세컨페이스)20171221141315I2018-08-31 23:59:59.0<NA>394047.328919190900.937133111111111115.5<NA>
11521153안경업01_02_01_P3330000PHMB22006333002408220000220060328<NA>1영업/정상13영업중<NA><NA><NA><NA>528-0770<NA>612060부산광역시 해운대구 반여동 1629번지 3호부산광역시 해운대구 반여로 100, 101-102호 (반여동, 경희빌딩)48036눈이랑 안경콘택트20150506142332I2018-08-31 23:59:59.0<NA>393314.100293191087.71062711111111188.92<NA>
11531154안경업01_02_01_P3330000PHMB22007333002408220000120071203<NA>1영업/정상13영업중<NA><NA><NA><NA>784-4042<NA>612729부산광역시 해운대구 우동 1433번지부산광역시 해운대구 마린시티1로 167, 116호 (우동, 현대까멜리아상가)48092비추미안경20200622154557U2020-06-24 02:40:00.0<NA>395812.483825186378.36755311111111168.93<NA>
11541155안경업01_02_01_P3330000PHMB21997333002408220000119970903<NA>1영업/정상13영업중<NA><NA><NA><NA>731-3900<NA><NA><NA>부산광역시 해운대구 구남로29번길 16 (중동)48095아이비젼안경원20160226163853I2018-08-31 23:59:59.0<NA>396895.429733186886.749218111111111<NA><NA>
11551156안경업01_02_01_P3330000PHMB22020333002408220000320200424<NA>1영업/정상13영업중<NA><NA><NA><NA>051-731-1536<NA><NA>부산광역시 해운대구 우동 539번지 10호 해운대 라뮤에뜨부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 226호 (우동)48094으뜸50안경 해운대역점20200427153754I2020-04-29 00:23:20.0<NA>396596.443478186999.88452711111111166.5<NA>
11561157안경업01_02_01_P3330000PHMB22021333002408220000120210504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1629-3 경희빌딩부산광역시 해운대구 반여로 100, 경희빌딩 101,102호 (반여동)48036눈이랑안경20210506125651I2021-05-08 00:22:56.0<NA>393314.100293191087.7106271<NA><NA>11<NA><NA><NA><NA>88.92<NA>
11571158안경업01_02_01_P3330000PHMB22020333002408220000420201207<NA>1영업/정상13영업중<NA><NA><NA><NA>051-900-5555<NA><NA>부산광역시 해운대구 우동 539-10 해운대 라뮤에뜨부산광역시 해운대구 해운대로 620, 해운대 라뮤에뜨 1층 121호 (우동)48094오렌즈 해운대비치점20201208165741I2020-12-10 00:23:07.0<NA>396596.443478186999.8845271<NA><NA>11<NA><NA><NA><NA>48.3<NA>