Overview

Dataset statistics

Number of variables39
Number of observations1201
Missing cells11131
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory398.9 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2022-10-01
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 (64.6%)Imbalance
표본렌즈수 is highly imbalanced (57.8%)Imbalance
정점굴절계기수 is highly imbalanced (51.2%)Imbalance
조제용연마기수 is highly imbalanced (53.9%)Imbalance
렌즈절단기수 is highly imbalanced (55.6%)Imbalance
인허가취소일자 has 1201 (100.0%) missing valuesMissing
폐업일자 has 785 (65.4%) missing valuesMissing
휴업시작일자 has 1201 (100.0%) missing valuesMissing
휴업종료일자 has 1201 (100.0%) missing valuesMissing
재개업일자 has 1201 (100.0%) missing valuesMissing
소재지전화 has 187 (15.6%) missing valuesMissing
소재지면적 has 1201 (100.0%) missing valuesMissing
소재지우편번호 has 534 (44.5%) missing valuesMissing
소재지전체주소 has 103 (8.6%) missing valuesMissing
도로명전체주소 has 82 (6.8%) missing valuesMissing
도로명우편번호 has 256 (21.3%) missing valuesMissing
업태구분명 has 1201 (100.0%) missing valuesMissing
좌표정보(x) has 82 (6.8%) missing valuesMissing
좌표정보(y) has 82 (6.8%) missing valuesMissing
측정의자수 has 40 (3.3%) missing valuesMissing
가열기수 has 43 (3.6%) missing valuesMissing
안경세척기수 has 42 (3.5%) missing valuesMissing
총면적 has 483 (40.2%) missing valuesMissing
Unnamed: 38 has 1201 (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 226 (18.8%) zerosZeros
동공거리측정기수 has 172 (14.3%) zerosZeros
가열기수 has 228 (19.0%) zerosZeros
안경세척기수 has 227 (18.9%) zerosZeros
총면적 has 89 (7.4%) zerosZeros

Reproduction

Analysis started2024-04-21 10:37:38.133263
Analysis finished2024-04-21 10:37:39.531915
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean601
Minimum1
Maximum1201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:39.661716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile61
Q1301
median601
Q3901
95-th percentile1141
Maximum1201
Range1200
Interquartile range (IQR)600

Descriptive statistics

Standard deviation346.84314
Coefficient of variation (CV)0.57711006
Kurtosis-1.2
Mean601
Median Absolute Deviation (MAD)300
Skewness0
Sum721801
Variance120300.17
MonotonicityStrictly increasing
2024-04-21T19:37:39.922809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
808 1
 
0.1%
806 1
 
0.1%
805 1
 
0.1%
804 1
 
0.1%
803 1
 
0.1%
802 1
 
0.1%
801 1
 
0.1%
800 1
 
0.1%
799 1
 
0.1%
Other values (1191) 1191
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 (%)
1201 1
0.1%
1200 1
0.1%
1199 1
0.1%
1198 1
0.1%
1197 1
0.1%
1196 1
0.1%
1195 1
0.1%
1194 1
0.1%
1193 1
0.1%
1192 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
안경업
1201 

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 1201
100.0%

Length

2024-04-21T19:37:40.157359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:40.318329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1201
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
01_02_01_P
1201 

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 1201
100.0%

Length

2024-04-21T19:37:40.486941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:40.647405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1201
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325012.5
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:40.801464image/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 deviation39843.703
Coefficient of variation (CV)0.011983024
Kurtosis-0.73296217
Mean3325012.5
Median Absolute Deviation (MAD)30000
Skewness-0.04357537
Sum3.99334 × 109
Variance1.5875207 × 109
MonotonicityIncreasing
2024-04-21T19:37:41.008412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 177
14.7%
3290000 149
12.4%
3310000 116
9.7%
3330000 103
8.6%
3340000 94
7.8%
3300000 92
7.7%
3250000 81
6.7%
3320000 69
 
5.7%
3390000 68
 
5.7%
3370000 65
 
5.4%
Other values (6) 187
15.6%
ValueCountFrequency (%)
3250000 81
6.7%
3260000 23
 
1.9%
3270000 29
 
2.4%
3280000 27
 
2.2%
3290000 149
12.4%
3300000 92
7.7%
3310000 116
9.7%
3320000 69
5.7%
3330000 103
8.6%
3340000 94
7.8%
ValueCountFrequency (%)
3400000 37
 
3.1%
3390000 68
 
5.7%
3380000 52
 
4.3%
3370000 65
 
5.4%
3360000 19
 
1.6%
3350000 177
14.7%
3340000 94
7.8%
3330000 103
8.6%
3320000 69
 
5.7%
3310000 116
9.7%

관리번호
Text

UNIQUE 

Distinct1201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2024-04-21T19:37:41.653590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters30025
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

Unique1201 ?
Unique (%)100.0%

Sample

1st rowPHMB220183250021082200001
2nd rowPHMB220103250021082200001
3rd rowPHMB219933250021082200001
4th rowPHMB220103250021082200006
5th rowPHMB220143250021082200001
ValueCountFrequency (%)
phmb220183250021082200001 1
 
0.1%
phmb219783350024082200001 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%
phmb220053350024082200003 1
 
0.1%
Other values (1191) 1191
99.2%
2024-04-21T19:37:42.500261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9818
32.7%
2 6484
21.6%
3 2630
 
8.8%
1 1636
 
5.4%
8 1535
 
5.1%
P 1201
 
4.0%
H 1201
 
4.0%
M 1201
 
4.0%
B 1201
 
4.0%
4 1069
 
3.6%
Other values (4) 2049
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25221
84.0%
Uppercase Letter 4804
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9818
38.9%
2 6484
25.7%
3 2630
 
10.4%
1 1636
 
6.5%
8 1535
 
6.1%
4 1069
 
4.2%
9 978
 
3.9%
5 599
 
2.4%
7 255
 
1.0%
6 217
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1201
25.0%
H 1201
25.0%
M 1201
25.0%
B 1201
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25221
84.0%
Latin 4804
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9818
38.9%
2 6484
25.7%
3 2630
 
10.4%
1 1636
 
6.5%
8 1535
 
6.1%
4 1069
 
4.2%
9 978
 
3.9%
5 599
 
2.4%
7 255
 
1.0%
6 217
 
0.9%
Latin
ValueCountFrequency (%)
P 1201
25.0%
H 1201
25.0%
M 1201
25.0%
B 1201
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9818
32.7%
2 6484
21.6%
3 2630
 
8.8%
1 1636
 
5.4%
8 1535
 
5.1%
P 1201
 
4.0%
H 1201
 
4.0%
M 1201
 
4.0%
B 1201
 
4.0%
4 1069
 
3.6%
Other values (4) 2049
 
6.8%

인허가일자
Real number (ℝ)

Distinct1101
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20044615
Minimum19710518
Maximum20220916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:42.758777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850617
Q119960520
median20060616
Q320140303
95-th percentile20210203
Maximum20220916
Range510398
Interquartile range (IQR)179783

Descriptive statistics

Standard deviation111899.43
Coefficient of variation (CV)0.0055825182
Kurtosis-0.76201796
Mean20044615
Median Absolute Deviation (MAD)89511
Skewness-0.39227812
Sum2.4073583 × 1010
Variance1.2521482 × 1010
MonotonicityNot monotonic
2024-04-21T19:37:43.218116image/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
 
0.2%
20150731 3
 
0.2%
20140416 2
 
0.2%
20211130 2
 
0.2%
20041203 2
 
0.2%
19940610 2
 
0.2%
19941012 2
 
0.2%
19910711 2
 
0.2%
Other values (1091) 1166
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 (%)
20220916 1
0.1%
20220901 1
0.1%
20220818 1
0.1%
20220805 1
0.1%
20220727 1
0.1%
20220701 1
0.1%
20220622 2
0.2%
20220524 1
0.1%
20220427 1
0.1%
20220426 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1201
Missing (%)100.0%
Memory size10.7 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
765 
3
428 
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 (%)
1 765
63.7%
3 428
35.6%
4 8
 
0.7%

Length

2024-04-21T19:37:43.451739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:43.624046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 765
63.7%
3 428
35.6%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
영업/정상
765 
폐업
428 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length3.990841
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 765
63.7%
폐업 428
35.6%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:37:43.818812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:44.000507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 765
63.7%
폐업 428
35.6%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
13
765 
3
428 
24
 
8

Length

Max length2
Median length2
Mean length1.6436303
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 765
63.7%
3 428
35.6%
24 8
 
0.7%

Length

2024-04-21T19:37:44.187741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:44.360221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 765
63.7%
3 428
35.6%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
영업중
765 
폐업
428 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6502914
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 765
63.7%
폐업 428
35.6%
직권폐업 8
 
0.7%

Length

2024-04-21T19:37:44.562131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:44.756877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 765
63.7%
폐업 428
35.6%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct387
Distinct (%)93.0%
Missing785
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean20107593
Minimum19851128
Maximum20220804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:44.964026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19927875
Q120081124
median20120672
Q320180252
95-th percentile20210716
Maximum20220804
Range369676
Interquartile range (IQR)99127

Descriptive statistics

Standard deviation88067.375
Coefficient of variation (CV)0.0043798069
Kurtosis-0.21185626
Mean20107593
Median Absolute Deviation (MAD)54994.5
Skewness-0.86800229
Sum8.3647587 × 109
Variance7.7558626 × 109
MonotonicityNot monotonic
2024-04-21T19:37:45.229133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.2%
19990205 2
 
0.2%
19990421 2
 
0.2%
20210712 2
 
0.2%
20140602 2
 
0.2%
20110408 2
 
0.2%
20180115 2
 
0.2%
20190115 2
 
0.2%
20091028 2
 
0.2%
19951109 2
 
0.2%
Other values (377) 395
32.9%
(Missing) 785
65.4%
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 (%)
20220804 1
0.1%
20220715 1
0.1%
20220630 1
0.1%
20220617 1
0.1%
20220616 1
0.1%
20220608 1
0.1%
20220607 1
0.1%
20220503 1
0.1%
20220401 1
0.1%
20220218 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1201
Missing (%)100.0%
Memory size10.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1201
Missing (%)100.0%
Memory size10.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1201
Missing (%)100.0%
Memory size10.7 KiB

소재지전화
Text

MISSING 

Distinct956
Distinct (%)94.3%
Missing187
Missing (%)15.6%
Memory size9.5 KiB
2024-04-21T19:37:46.011234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.29783
Min length7

Characters and Unicode

Total characters11456
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

Unique906 ?
Unique (%)89.3%

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%
051-816-4500 3
 
0.3%
051-625-8471 3
 
0.3%
051-647-5766 3
 
0.3%
261-6700 3
 
0.3%
051-623-7778 3
 
0.3%
051-337-7111 3
 
0.3%
051-315-1003 2
 
0.2%
051-804-4009 2
 
0.2%
051-611-0079 2
 
0.2%
Other values (946) 986
97.2%
2024-04-21T19:37:47.003830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1787
15.6%
0 1739
15.2%
5 1600
14.0%
1 1584
13.8%
2 866
7.6%
8 709
 
6.2%
3 702
 
6.1%
6 700
 
6.1%
7 699
 
6.1%
4 632
 
5.5%
Other values (4) 438
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9626
84.0%
Dash Punctuation 1787
 
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 1739
18.1%
5 1600
16.6%
1 1584
16.5%
2 866
9.0%
8 709
7.4%
3 702
7.3%
6 700
7.3%
7 699
7.3%
4 632
 
6.6%
9 395
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1787
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 11456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1787
15.6%
0 1739
15.2%
5 1600
14.0%
1 1584
13.8%
2 866
7.6%
8 709
 
6.2%
3 702
 
6.1%
6 700
 
6.1%
7 699
 
6.1%
4 632
 
5.5%
Other values (4) 438
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1787
15.6%
0 1739
15.2%
5 1600
14.0%
1 1584
13.8%
2 866
7.6%
8 709
 
6.2%
3 702
 
6.1%
6 700
 
6.1%
7 699
 
6.1%
4 632
 
5.5%
Other values (4) 438
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1201
Missing (%)100.0%
Memory size10.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct339
Distinct (%)50.8%
Missing534
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean608111.26
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:47.242379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48272
5-th percentile601812
Q1607831
median609839
Q3614041.5
95-th percentile617584.3
Maximum619963
Range571691
Interquartile range (IQR)6210.5

Descriptive statistics

Standard deviation37918.988
Coefficient of variation (CV)0.062355347
Kurtosis212.4411
Mean608111.26
Median Absolute Deviation (MAD)3968
Skewness-14.511545
Sum4.0561021 × 108
Variance1.4378497 × 109
MonotonicityNot monotonic
2024-04-21T19:37:47.480629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 33
 
2.7%
609834 8
 
0.7%
614845 7
 
0.6%
608805 7
 
0.6%
616852 7
 
0.6%
609822 7
 
0.6%
614030 7
 
0.6%
609800 7
 
0.6%
619963 6
 
0.5%
604851 6
 
0.5%
Other values (329) 572
47.6%
(Missing) 534
44.5%
ValueCountFrequency (%)
48272 1
 
0.1%
48296 1
 
0.1%
49247 1
 
0.1%
600016 1
 
0.1%
600017 1
 
0.1%
600031 2
0.2%
600032 3
0.2%
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 

Distinct1044
Distinct (%)95.1%
Missing103
Missing (%)8.6%
Memory size9.5 KiB
2024-04-21T19:37:48.699472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.081056
Min length3

Characters and Unicode

Total characters26441
Distinct characters318
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

Unique995 ?
Unique (%)90.6%

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 1069
 
19.3%
금정구 171
 
3.1%
부산진구 144
 
2.6%
1호 120
 
2.2%
남구 107
 
1.9%
사하구 87
 
1.6%
동래구 83
 
1.5%
중구 77
 
1.4%
해운대구 73
 
1.3%
1층 68
 
1.2%
Other values (1427) 3536
63.9%
2024-04-21T19:37:50.195897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4452
 
16.8%
1 1398
 
5.3%
부 1379
 
5.2%
산 1316
 
5.0%
동 1220
 
4.6%
시 1115
 
4.2%
광 1102
 
4.2%
구 1099
 
4.2%
역 1074
 
4.1%
2 922
 
3.5%
Other values (308) 11364
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15742
59.5%
Decimal Number 5766
 
21.8%
Space Separator 4452
 
16.8%
Dash Punctuation 311
 
1.2%
Uppercase Letter 64
 
0.2%
Other Punctuation 42
 
0.2%
Open Punctuation 30
 
0.1%
Close Punctuation 30
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1379
 
8.8%
산 1316
 
8.4%
동 1220
 
7.7%
시 1115
 
7.1%
광 1102
 
7.0%
구 1099
 
7.0%
역 1074
 
6.8%
지 821
 
5.2%
호 781
 
5.0%
번 766
 
4.9%
Other values (274) 5069
32.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.2%
K 10
15.6%
B 7
10.9%
A 6
9.4%
E 6
9.4%
H 5
7.8%
C 5
7.8%
Y 4
 
6.2%
U 4
 
6.2%
L 2
 
3.1%
Other values (3) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 1398
24.2%
2 922
16.0%
3 645
11.2%
4 551
 
9.6%
5 482
 
8.4%
0 401
 
7.0%
6 372
 
6.5%
7 353
 
6.1%
8 328
 
5.7%
9 314
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 34
81.0%
. 5
 
11.9%
@ 2
 
4.8%
/ 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
4452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 311
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15742
59.5%
Common 10633
40.2%
Latin 66
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1379
 
8.8%
산 1316
 
8.4%
동 1220
 
7.7%
시 1115
 
7.1%
광 1102
 
7.0%
구 1099
 
7.0%
역 1074
 
6.8%
지 821
 
5.2%
호 781
 
5.0%
번 766
 
4.9%
Other values (274) 5069
32.2%
Common
ValueCountFrequency (%)
4452
41.9%
1 1398
 
13.1%
2 922
 
8.7%
3 645
 
6.1%
4 551
 
5.2%
5 482
 
4.5%
0 401
 
3.8%
6 372
 
3.5%
7 353
 
3.3%
8 328
 
3.1%
Other values (9) 729
 
6.9%
Latin
ValueCountFrequency (%)
S 11
16.7%
K 10
15.2%
B 7
10.6%
A 6
9.1%
E 6
9.1%
H 5
7.6%
C 5
7.6%
Y 4
 
6.1%
U 4
 
6.1%
L 2
 
3.0%
Other values (5) 6
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15742
59.5%
ASCII 10699
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4452
41.6%
1 1398
 
13.1%
2 922
 
8.6%
3 645
 
6.0%
4 551
 
5.2%
5 482
 
4.5%
0 401
 
3.7%
6 372
 
3.5%
7 353
 
3.3%
8 328
 
3.1%
Other values (24) 795
 
7.4%
Hangul
ValueCountFrequency (%)
부 1379
 
8.8%
산 1316
 
8.4%
동 1220
 
7.7%
시 1115
 
7.1%
광 1102
 
7.0%
구 1099
 
7.0%
역 1074
 
6.8%
지 821
 
5.2%
호 781
 
5.0%
번 766
 
4.9%
Other values (274) 5069
32.2%

도로명전체주소
Text

MISSING 

Distinct1044
Distinct (%)93.3%
Missing82
Missing (%)6.8%
Memory size9.5 KiB
2024-04-21T19:37:51.606498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length28.192136
Min length20

Characters and Unicode

Total characters31547
Distinct characters358
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique982 ?
Unique (%)87.8%

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 1120
 
17.7%
1층 191
 
3.0%
금정구 155
 
2.4%
부산진구 143
 
2.3%
해운대구 102
 
1.6%
남구 93
 
1.5%
동래구 91
 
1.4%
사하구 90
 
1.4%
중구 77
 
1.2%
부전동 71
 
1.1%
Other values (1373) 4204
66.3%
2024-04-21T19:37:53.464134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5222
 
16.6%
부 1427
 
4.5%
동 1416
 
4.5%
산 1367
 
4.3%
시 1206
 
3.8%
광 1203
 
3.8%
구 1155
 
3.7%
1 1125
 
3.6%
역 1124
 
3.6%
로 1103
 
3.5%
Other values (348) 15199
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18849
59.7%
Space Separator 5222
 
16.6%
Decimal Number 4447
 
14.1%
Close Punctuation 1102
 
3.5%
Open Punctuation 1102
 
3.5%
Other Punctuation 574
 
1.8%
Dash Punctuation 167
 
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 1427
 
7.6%
동 1416
 
7.5%
산 1367
 
7.3%
시 1206
 
6.4%
광 1203
 
6.4%
구 1155
 
6.1%
역 1124
 
6.0%
로 1103
 
5.9%
대 592
 
3.1%
층 296
 
1.6%
Other values (313) 7960
42.2%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.4%
K 12
16.7%
B 11
15.3%
A 5
 
6.9%
C 5
 
6.9%
H 5
 
6.9%
G 4
 
5.6%
E 4
 
5.6%
Y 4
 
5.6%
U 4
 
5.6%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1125
25.3%
2 681
15.3%
3 410
 
9.2%
0 396
 
8.9%
4 385
 
8.7%
5 329
 
7.4%
7 322
 
7.2%
6 302
 
6.8%
9 258
 
5.8%
8 239
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
k 1
20.0%
h 1
20.0%
b 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 570
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
5222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18849
59.7%
Common 12621
40.0%
Latin 77
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1427
 
7.6%
동 1416
 
7.5%
산 1367
 
7.3%
시 1206
 
6.4%
광 1203
 
6.4%
구 1155
 
6.1%
역 1124
 
6.0%
로 1103
 
5.9%
대 592
 
3.1%
층 296
 
1.6%
Other values (313) 7960
42.2%
Latin
ValueCountFrequency (%)
S 14
18.2%
K 12
15.6%
B 11
14.3%
A 5
 
6.5%
C 5
 
6.5%
H 5
 
6.5%
G 4
 
5.2%
E 4
 
5.2%
Y 4
 
5.2%
U 4
 
5.2%
Other values (8) 9
11.7%
Common
ValueCountFrequency (%)
5222
41.4%
1 1125
 
8.9%
) 1102
 
8.7%
( 1102
 
8.7%
2 681
 
5.4%
, 570
 
4.5%
3 410
 
3.2%
0 396
 
3.1%
4 385
 
3.1%
5 329
 
2.6%
Other values (7) 1299
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18849
59.7%
ASCII 12698
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5222
41.1%
1 1125
 
8.9%
) 1102
 
8.7%
( 1102
 
8.7%
2 681
 
5.4%
, 570
 
4.5%
3 410
 
3.2%
0 396
 
3.1%
4 385
 
3.0%
5 329
 
2.6%
Other values (25) 1376
 
10.8%
Hangul
ValueCountFrequency (%)
부 1427
 
7.6%
동 1416
 
7.5%
산 1367
 
7.3%
시 1206
 
6.4%
광 1203
 
6.4%
구 1155
 
6.1%
역 1124
 
6.0%
로 1103
 
5.9%
대 592
 
3.1%
층 296
 
1.6%
Other values (313) 7960
42.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct545
Distinct (%)57.7%
Missing256
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean82447.417
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:53.754823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147126
median47858
Q348945
95-th percentile608600.2
Maximum619963
Range573959
Interquartile range (IQR)1819

Descriptive statistics

Standard deviation135572.91
Coefficient of variation (CV)1.6443561
Kurtosis11.429181
Mean82447.417
Median Absolute Deviation (MAD)874
Skewness3.6609622
Sum77912809
Variance1.8380014 × 1010
MonotonicityNot monotonic
2024-04-21T19:37:53.989463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48946 21
 
1.7%
48953 13
 
1.1%
46291 11
 
0.9%
48945 10
 
0.8%
46576 8
 
0.7%
47254 8
 
0.7%
47295 8
 
0.7%
47286 7
 
0.6%
48095 7
 
0.6%
47296 7
 
0.6%
Other values (535) 845
70.4%
(Missing) 256
 
21.3%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 2
 
0.2%
46010 1
 
0.1%
46015 5
0.4%
46017 1
 
0.1%
46021 1
 
0.1%
46029 1
 
0.1%
46048 4
0.3%
46055 1
 
0.1%
46056 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

Distinct955
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2024-04-21T19:37:54.823782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.8809326
Min length2

Characters and Unicode

Total characters8264
Distinct characters415
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

Unique838 ?
Unique (%)69.8%

Sample

1st row국전안경
2nd row아이샵(eye#)안경
3rd row국전안경
4th row눈사랑안경남포
5th row갤러리안경원
ValueCountFrequency (%)
안경원 69
 
4.5%
안경 43
 
2.8%
갤러리안경 30
 
2.0%
안경나라 23
 
1.5%
눈사랑안경 21
 
1.4%
갤러리안경원 13
 
0.9%
초이스안경 12
 
0.8%
오렌즈 12
 
0.8%
으뜸50안경 11
 
0.7%
세컨페이스 11
 
0.7%
Other values (956) 1278
83.9%
2024-04-21T19:37:55.892212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1088
 
13.2%
경 1087
 
13.2%
원 405
 
4.9%
322
 
3.9%
점 287
 
3.5%
이 274
 
3.3%
아 217
 
2.6%
스 193
 
2.3%
리 129
 
1.6%
0 95
 
1.1%
Other values (405) 4167
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7423
89.8%
Space Separator 322
 
3.9%
Decimal Number 192
 
2.3%
Uppercase Letter 90
 
1.1%
Lowercase Letter 88
 
1.1%
Open Punctuation 60
 
0.7%
Close 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 1088
 
14.7%
경 1087
 
14.6%
원 405
 
5.5%
점 287
 
3.9%
이 274
 
3.7%
아 217
 
2.9%
스 193
 
2.6%
리 129
 
1.7%
트 89
 
1.2%
러 81
 
1.1%
Other values (348) 3573
48.1%
Uppercase Letter
ValueCountFrequency (%)
O 14
15.6%
E 9
 
10.0%
S 8
 
8.9%
L 6
 
6.7%
G 5
 
5.6%
K 5
 
5.6%
N 5
 
5.6%
C 4
 
4.4%
I 4
 
4.4%
M 4
 
4.4%
Other values (12) 26
28.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
18.2%
n 11
12.5%
a 9
10.2%
c 9
10.2%
l 7
8.0%
i 6
 
6.8%
o 6
 
6.8%
s 5
 
5.7%
t 5
 
5.7%
h 5
 
5.7%
Other values (7) 9
10.2%
Decimal Number
ValueCountFrequency (%)
0 95
49.5%
1 43
22.4%
5 23
 
12.0%
8 22
 
11.5%
2 5
 
2.6%
3 3
 
1.6%
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 (%)
322
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7423
89.8%
Common 662
 
8.0%
Latin 178
 
2.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1088
 
14.7%
경 1087
 
14.6%
원 405
 
5.5%
점 287
 
3.9%
이 274
 
3.7%
아 217
 
2.9%
스 193
 
2.6%
리 129
 
1.7%
트 89
 
1.2%
러 81
 
1.1%
Other values (348) 3573
48.1%
Latin
ValueCountFrequency (%)
e 16
 
9.0%
O 14
 
7.9%
n 11
 
6.2%
a 9
 
5.1%
c 9
 
5.1%
E 9
 
5.1%
S 8
 
4.5%
l 7
 
3.9%
i 6
 
3.4%
o 6
 
3.4%
Other values (29) 83
46.6%
Common
ValueCountFrequency (%)
322
48.6%
0 95
 
14.4%
( 60
 
9.1%
) 60
 
9.1%
1 43
 
6.5%
5 23
 
3.5%
8 22
 
3.3%
. 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 7422
89.8%
ASCII 835
 
10.1%
None 5
 
0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1088
 
14.7%
경 1087
 
14.6%
원 405
 
5.5%
점 287
 
3.9%
이 274
 
3.7%
아 217
 
2.9%
스 193
 
2.6%
리 129
 
1.7%
트 89
 
1.2%
러 81
 
1.1%
Other values (347) 3572
48.1%
ASCII
ValueCountFrequency (%)
322
38.6%
0 95
 
11.4%
( 60
 
7.2%
) 60
 
7.2%
1 43
 
5.1%
5 23
 
2.8%
8 22
 
2.6%
e 16
 
1.9%
O 14
 
1.7%
. 14
 
1.7%
Other values (44) 166
19.9%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1175
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153549 × 1013
Minimum2.008112 × 1013
Maximum2.0220916 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:56.130821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120605 × 1013
median2.0151106 × 1013
Q32.0190701 × 1013
95-th percentile2.0220404 × 1013
Maximum2.0220916 × 1013
Range1.3979597 × 1011
Interquartile range (IQR)7.0095936 × 1010

Descriptive statistics

Standard deviation4.2179272 × 1010
Coefficient of variation (CV)0.0020928955
Kurtosis-1.1875224
Mean2.0153549 × 1013
Median Absolute Deviation (MAD)3.0987999 × 1010
Skewness-0.0058049885
Sum2.4204412 × 1016
Variance1.7790909 × 1021
MonotonicityNot monotonic
2024-04-21T19:37:56.390083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183150 18
 
1.5%
20081215160833 6
 
0.5%
20081215160832 4
 
0.3%
20081201183151 2
 
0.2%
20210726152758 1
 
0.1%
20090209144656 1
 
0.1%
20090209150211 1
 
0.1%
20090209145755 1
 
0.1%
20090209145525 1
 
0.1%
20090209145248 1
 
0.1%
Other values (1165) 1165
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 (%)
20220916114317 1
0.1%
20220915133232 1
0.1%
20220901174412 1
0.1%
20220830175507 1
0.1%
20220823150456 1
0.1%
20220822153732 1
0.1%
20220819092422 1
0.1%
20220818133343 1
0.1%
20220811132042 1
0.1%
20220805165716 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
I
919 
U
282 

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 919
76.5%
U 282
 
23.5%

Length

2024-04-21T19:37:56.632024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:56.799999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 919
76.5%
u 282
 
23.5%

데이터갱신일자
Date

Distinct326
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-18 00:22:26
2024-04-21T19:37:56.987543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:37:57.236480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1201
Missing (%)100.0%
Memory size10.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct956
Distinct (%)85.4%
Missing82
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean388064.01
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:57.701736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379697.94
Q1384874.52
median388487.25
Q3391224.22
95-th percentile397399.22
Maximum403236.19
Range36128.006
Interquartile range (IQR)6349.7001

Descriptive statistics

Standard deviation5259.3549
Coefficient of variation (CV)0.013552803
Kurtosis0.43693701
Mean388064.01
Median Absolute Deviation (MAD)3185.5656
Skewness-0.017969513
Sum4.3424363 × 108
Variance27660814
MonotonicityNot monotonic
2024-04-21T19:37:57.959823image/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%
387920.292112964 5
 
0.4%
385590.814676765 4
 
0.3%
395388.715069604 4
 
0.3%
393952.264486105 4
 
0.3%
389097.800933845 4
 
0.3%
Other values (946) 1068
88.9%
(Missing) 82
 
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
0.2%
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 

Distinct957
Distinct (%)85.5%
Missing82
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean187347.76
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:58.212775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178723.05
Q1183544.39
median187082.76
Q3191858.21
95-th percentile196237.44
Maximum206377.97
Range32361.42
Interquartile range (IQR)8313.8194

Descriptive statistics

Standard deviation5854.5823
Coefficient of variation (CV)0.031249812
Kurtosis-0.13584963
Mean187347.76
Median Absolute Deviation (MAD)4373.2328
Skewness0.19381864
Sum2.0964214 × 108
Variance34276133
MonotonicityNot monotonic
2024-04-21T19:37:58.455230image/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%
186157.316240551 5
 
0.4%
179553.867031936 4
 
0.3%
186268.853282623 4
 
0.3%
187602.933160728 4
 
0.3%
192260.811648263 4
 
0.3%
Other values (947) 1068
88.9%
(Missing) 82
 
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
0.2%
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 size9.5 KiB
1
990 
0
170 
2
 
34
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0124896
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 990
82.4%
0 170
 
14.2%
2 34
 
2.8%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:37:58.698595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:58.891980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 990
82.4%
0 170
 
14.2%
2 34
 
2.8%
na 5
 
0.4%
3 2
 
0.2%

표본렌즈수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
904 
0
225 
2
 
33
<NA>
 
32
3
 
6

Length

Max length4
Median length1
Mean length1.0815987
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 904
75.3%
0 225
 
18.7%
2 33
 
2.7%
<NA> 32
 
2.7%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:37:59.097454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:37:59.297346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 904
75.3%
0 225
 
18.7%
2 33
 
2.7%
na 32
 
2.7%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing40
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean0.86907838
Minimum0
Maximum11
Zeros226
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:59.474331image/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 deviation0.59313596
Coefficient of variation (CV)0.68248846
Kurtosis76.774454
Mean0.86907838
Median Absolute Deviation (MAD)0
Skewness4.7876356
Sum1009
Variance0.35181027
MonotonicityNot monotonic
2024-04-21T19:37:59.659942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 883
73.5%
0 226
 
18.8%
2 43
 
3.6%
3 4
 
0.3%
4 3
 
0.2%
5 1
 
0.1%
11 1
 
0.1%
(Missing) 40
 
3.3%
ValueCountFrequency (%)
0 226
 
18.8%
1 883
73.5%
2 43
 
3.6%
3 4
 
0.3%
4 3
 
0.2%
5 1
 
0.1%
11 1
 
0.1%
ValueCountFrequency (%)
11 1
 
0.1%
5 1
 
0.1%
4 3
 
0.2%
3 4
 
0.3%
2 43
 
3.6%
1 883
73.5%
0 226
 
18.8%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.92976589
Minimum0
Maximum10
Zeros172
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:37:59.842574image/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 deviation0.59432486
Coefficient of variation (CV)0.6392199
Kurtosis55.927592
Mean0.92976589
Median Absolute Deviation (MAD)0
Skewness4.5972205
Sum1112
Variance0.35322204
MonotonicityNot monotonic
2024-04-21T19:38:00.059747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 974
81.1%
0 172
 
14.3%
2 32
 
2.7%
3 9
 
0.7%
5 5
 
0.4%
4 3
 
0.2%
10 1
 
0.1%
(Missing) 5
 
0.4%
ValueCountFrequency (%)
0 172
 
14.3%
1 974
81.1%
2 32
 
2.7%
3 9
 
0.7%
4 3
 
0.2%
5 5
 
0.4%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
5 5
 
0.4%
4 3
 
0.2%
3 9
 
0.7%
2 32
 
2.7%
1 974
81.1%
0 172
 
14.3%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
878 
0
170 
2
109 
3
 
31
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0174854
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 878
73.1%
0 170
 
14.2%
2 109
 
9.1%
3 31
 
2.6%
<NA> 7
 
0.6%
4 6
 
0.5%

Length

2024-04-21T19:38:00.462763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:38:00.811804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 878
73.1%
0 170
 
14.2%
2 109
 
9.1%
3 31
 
2.6%
na 7
 
0.6%
4 6
 
0.5%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
901 
0
229 
<NA>
 
43
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1074105
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 901
75.0%
0 229
 
19.1%
<NA> 43
 
3.6%
2 27
 
2.2%
3 1
 
0.1%

Length

2024-04-21T19:38:01.208054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:38:01.551929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 901
75.0%
0 229
 
19.1%
na 43
 
3.6%
2 27
 
2.2%
3 1
 
0.1%

렌즈절단기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
910 
0
229 
<NA>
 
42
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1049126
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 910
75.8%
0 229
 
19.1%
<NA> 42
 
3.5%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:38:01.934365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:38:02.275761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 910
75.8%
0 229
 
19.1%
na 42
 
3.5%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing43
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean0.91537133
Minimum0
Maximum5
Zeros228
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:38:02.589753image/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 deviation0.58629286
Coefficient of variation (CV)0.64049729
Kurtosis5.2063096
Mean0.91537133
Median Absolute Deviation (MAD)0
Skewness0.86640987
Sum1060
Variance0.34373932
MonotonicityNot monotonic
2024-04-21T19:38:02.933665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 817
68.0%
0 228
 
19.0%
2 101
 
8.4%
3 9
 
0.7%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 43
 
3.6%
ValueCountFrequency (%)
0 228
 
19.0%
1 817
68.0%
2 101
 
8.4%
3 9
 
0.7%
4 1
 
0.1%
5 2
 
0.2%
ValueCountFrequency (%)
5 2
 
0.2%
4 1
 
0.1%
3 9
 
0.7%
2 101
 
8.4%
1 817
68.0%
0 228
 
19.0%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing42
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean0.94823123
Minimum0
Maximum5
Zeros227
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:38:03.257153image/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 deviation0.62537994
Coefficient of variation (CV)0.65952261
Kurtosis3.2849574
Mean0.94823123
Median Absolute Deviation (MAD)0
Skewness0.82229764
Sum1099
Variance0.39110006
MonotonicityNot monotonic
2024-04-21T19:38:03.600792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 791
65.9%
0 227
 
18.9%
2 119
 
9.9%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 42
 
3.5%
ValueCountFrequency (%)
0 227
 
18.9%
1 791
65.9%
2 119
 
9.9%
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
 
9.9%
1 791
65.9%
0 227
 
18.9%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct522
Distinct (%)72.7%
Missing483
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean75.494875
Minimum0
Maximum723.02
Zeros89
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:38:03.966545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132.19
median59.2
Q399
95-th percentile210.234
Maximum723.02
Range723.02
Interquartile range (IQR)66.81

Descriptive statistics

Standard deviation72.289933
Coefficient of variation (CV)0.95754756
Kurtosis17.473237
Mean75.494875
Median Absolute Deviation (MAD)32.195
Skewness2.9260666
Sum54205.32
Variance5225.8345
MonotonicityNot monotonic
2024-04-21T19:38:04.407270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 89
 
7.4%
33.0 10
 
0.8%
49.5 5
 
0.4%
66.0 5
 
0.4%
60.0 5
 
0.4%
105.0 4
 
0.3%
56.0 4
 
0.3%
99.0 4
 
0.3%
57.6 4
 
0.3%
46.2 4
 
0.3%
Other values (512) 584
48.6%
(Missing) 483
40.2%
ValueCountFrequency (%)
0.0 89
7.4%
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 

Missing1201
Missing (%)100.0%
Memory size10.7 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
11911192안경업01_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>
11921193안경업01_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>
11931194안경업01_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>
11941195안경업01_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>
11951196안경업01_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>
11961197안경업01_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>
11971198안경업01_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>
11981199안경업01_02_01_P3400000PHMB22022340001308220000320220818<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 달산리 1221-6부산광역시 기장군 정관읍 정관로 70446021이노티안경 정관점20220822153732I2022-08-24 00:22:35.0<NA>399070.084726204598.839584100110000160.0<NA>
11991200안경업01_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>
12001201안경업01_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>