Overview

Dataset statistics

Number of variables39
Number of observations1163
Missing cells10820
Missing cells (%)23.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory386.3 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2021-09-01
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 (59.0%)Imbalance
정점굴절계기수 is highly imbalanced (51.5%)Imbalance
조제용연마기수 is highly imbalanced (55.3%)Imbalance
렌즈절단기수 is highly imbalanced (57.1%)Imbalance
인허가취소일자 has 1163 (100.0%) missing valuesMissing
폐업일자 has 762 (65.5%) missing valuesMissing
휴업시작일자 has 1163 (100.0%) missing valuesMissing
휴업종료일자 has 1163 (100.0%) missing valuesMissing
재개업일자 has 1163 (100.0%) missing valuesMissing
소재지전화 has 173 (14.9%) missing valuesMissing
소재지면적 has 1163 (100.0%) missing valuesMissing
소재지우편번호 has 480 (41.3%) missing valuesMissing
소재지전체주소 has 98 (8.4%) missing valuesMissing
도로명전체주소 has 82 (7.1%) missing valuesMissing
도로명우편번호 has 256 (22.0%) missing valuesMissing
업태구분명 has 1163 (100.0%) missing valuesMissing
좌표정보(x) has 78 (6.7%) missing valuesMissing
좌표정보(y) has 78 (6.7%) missing valuesMissing
측정의자수 has 49 (4.2%) missing valuesMissing
가열기수 has 53 (4.6%) missing valuesMissing
안경세척기수 has 52 (4.5%) missing valuesMissing
총면적 has 513 (44.1%) missing valuesMissing
Unnamed: 38 has 1163 (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 178 (15.3%) zerosZeros
동공거리측정기수 has 174 (15.0%) zerosZeros
가열기수 has 179 (15.4%) zerosZeros
안경세척기수 has 178 (15.3%) zerosZeros
총면적 has 68 (5.8%) zerosZeros

Reproduction

Analysis started2024-04-21 10:39:35.235738
Analysis finished2024-04-21 10:39:36.563467
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean582
Minimum1
Maximum1163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:36.690366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.1
Q1291.5
median582
Q3872.5
95-th percentile1104.9
Maximum1163
Range1162
Interquartile range (IQR)581

Descriptive statistics

Standard deviation335.87349
Coefficient of variation (CV)0.57710221
Kurtosis-1.2
Mean582
Median Absolute Deviation (MAD)291
Skewness0
Sum676866
Variance112811
MonotonicityStrictly increasing
2024-04-21T19:39:36.949094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
801 1
 
0.1%
781 1
 
0.1%
780 1
 
0.1%
779 1
 
0.1%
778 1
 
0.1%
777 1
 
0.1%
776 1
 
0.1%
775 1
 
0.1%
774 1
 
0.1%
Other values (1153) 1153
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 (%)
1163 1
0.1%
1162 1
0.1%
1161 1
0.1%
1160 1
0.1%
1159 1
0.1%
1158 1
0.1%
1157 1
0.1%
1156 1
0.1%
1155 1
0.1%
1154 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
안경업
1163 

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 1163
100.0%

Length

2024-04-21T19:39:37.181284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:37.338474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1163
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
01_02_01_P
1163 

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 1163
100.0%

Length

2024-04-21T19:39:37.502800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:37.660473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1163
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325219.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:37.810815image/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 deviation39840.68
Coefficient of variation (CV)0.011981369
Kurtosis-0.73643647
Mean3325219.3
Median Absolute Deviation (MAD)30000
Skewness-0.059352064
Sum3.86723 × 109
Variance1.5872798 × 109
MonotonicityNot monotonic
2024-04-21T19:39:38.017661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 176
15.1%
3290000 142
12.2%
3310000 115
9.9%
3330000 99
8.5%
3340000 91
7.8%
3300000 87
7.5%
3250000 79
6.8%
3390000 67
 
5.8%
3320000 64
 
5.5%
3370000 64
 
5.5%
Other values (6) 179
15.4%
ValueCountFrequency (%)
3250000 79
6.8%
3260000 22
 
1.9%
3270000 27
 
2.3%
3280000 27
 
2.3%
3290000 142
12.2%
3300000 87
7.5%
3310000 115
9.9%
3320000 64
5.5%
3330000 99
8.5%
3340000 91
7.8%
ValueCountFrequency (%)
3400000 34
 
2.9%
3390000 67
 
5.8%
3380000 52
 
4.5%
3370000 64
 
5.5%
3360000 17
 
1.5%
3350000 176
15.1%
3340000 91
7.8%
3330000 99
8.5%
3320000 64
 
5.5%
3310000 115
9.9%

관리번호
Text

UNIQUE 

Distinct1163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-04-21T19:39:38.659534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29075
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

Unique1163 ?
Unique (%)100.0%

Sample

1st rowPHMB219843250021082200001
2nd rowPHMB220123370022082200002
3rd rowPHMB219953290024082200001
4th rowPHMB220153290024082200006
5th rowPHMB220103390023082200001
ValueCountFrequency (%)
phmb219843250021082200001 1
 
0.1%
phmb219813260022082200001 1
 
0.1%
phmb219963390023082200001 1
 
0.1%
phmb220173390023082200002 1
 
0.1%
phmb220173390023082200001 1
 
0.1%
phmb220143390023082200001 1
 
0.1%
phmb220133390023082200002 1
 
0.1%
phmb219823390023082200003 1
 
0.1%
phmb220163390023082200003 1
 
0.1%
phmb220153390023082200001 1
 
0.1%
Other values (1153) 1153
99.1%
2024-04-21T19:39:39.507895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9507
32.7%
2 6205
21.3%
3 2550
 
8.8%
1 1603
 
5.5%
8 1499
 
5.2%
P 1163
 
4.0%
H 1163
 
4.0%
M 1163
 
4.0%
B 1163
 
4.0%
4 1037
 
3.6%
Other values (4) 2022
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24423
84.0%
Uppercase Letter 4652
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9507
38.9%
2 6205
25.4%
3 2550
 
10.4%
1 1603
 
6.6%
8 1499
 
6.1%
4 1037
 
4.2%
9 973
 
4.0%
5 587
 
2.4%
7 251
 
1.0%
6 211
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1163
25.0%
H 1163
25.0%
M 1163
25.0%
B 1163
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24423
84.0%
Latin 4652
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9507
38.9%
2 6205
25.4%
3 2550
 
10.4%
1 1603
 
6.6%
8 1499
 
6.1%
4 1037
 
4.2%
9 973
 
4.0%
5 587
 
2.4%
7 251
 
1.0%
6 211
 
0.9%
Latin
ValueCountFrequency (%)
P 1163
25.0%
H 1163
25.0%
M 1163
25.0%
B 1163
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9507
32.7%
2 6205
21.3%
3 2550
 
8.8%
1 1603
 
5.5%
8 1499
 
5.2%
P 1163
 
4.0%
H 1163
 
4.0%
M 1163
 
4.0%
B 1163
 
4.0%
4 1037
 
3.6%
Other values (4) 2022
 
7.0%

인허가일자
Real number (ℝ)

Distinct1066
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20038971
Minimum19710518
Maximum20210729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:39.764088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850615
Q119960174
median20051206
Q320130417
95-th percentile20190908
Maximum20210729
Range500211
Interquartile range (IQR)170243.5

Descriptive statistics

Standard deviation109208.27
Coefficient of variation (CV)0.0054497941
Kurtosis-0.75511797
Mean20038971
Median Absolute Deviation (MAD)89015
Skewness-0.40896024
Sum2.3305323 × 1010
Variance1.1926445 × 1010
MonotonicityNot monotonic
2024-04-21T19:39:40.024742image/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%
19870530 2
 
0.2%
19921031 2
 
0.2%
19920810 2
 
0.2%
20150512 2
 
0.2%
19940426 2
 
0.2%
19960424 2
 
0.2%
Other values (1056) 1128
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 (%)
20210729 1
0.1%
20210728 1
0.1%
20210727 1
0.1%
20210726 1
0.1%
20210701 1
0.1%
20210624 1
0.1%
20210623 1
0.1%
20210610 1
0.1%
20210601 1
0.1%
20210528 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1163
Missing (%)100.0%
Memory size10.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
1
748 
3
407 
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 (%)
1 748
64.3%
3 407
35.0%
4 8
 
0.7%

Length

2024-04-21T19:39:40.258513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:40.423783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 748
64.3%
3 407
35.0%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
영업/정상
748 
폐업
407 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length4.0120378
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 748
64.3%
폐업 407
35.0%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:39:40.613295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:40.791043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 748
64.3%
폐업 407
35.0%
취소/말소/만료/정지/중지 8
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
13
748 
3
407 
24
 
8

Length

Max length2
Median length2
Mean length1.650043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 748
64.3%
3 407
35.0%
24 8
 
0.7%

Length

2024-04-21T19:39:40.984014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:41.160241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 748
64.3%
3 407
35.0%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
영업중
748 
폐업
407 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6569218
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 748
64.3%
폐업 407
35.0%
직권폐업 8
 
0.7%

Length

2024-04-21T19:39:41.364871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:41.556623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 748
64.3%
폐업 407
35.0%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct369
Distinct (%)92.0%
Missing762
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean20103134
Minimum19851128
Maximum20210729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:41.759644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19921113
Q120080904
median20120308
Q320170929
95-th percentile20210318
Maximum20210729
Range359601
Interquartile range (IQR)90025

Descriptive statistics

Standard deviation86745.093
Coefficient of variation (CV)0.0043150034
Kurtosis-0.2319276
Mean20103134
Median Absolute Deviation (MAD)50521
Skewness-0.87330389
Sum8.0613568 × 109
Variance7.5247111 × 109
MonotonicityNot monotonic
2024-04-21T19:39:42.021593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.3%
20140602 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 (359) 380
32.7%
(Missing) 762
65.5%
ValueCountFrequency (%)
19851128 1
0.1%
19900226 1
0.1%
19900507 1
0.1%
19900514 1
0.1%
19900927 1
0.1%
19901128 1
0.1%
19910122 1
0.1%
19910314 1
0.1%
19910406 2
0.2%
19910531 2
0.2%
ValueCountFrequency (%)
20210729 1
0.1%
20210726 1
0.1%
20210712 2
0.2%
20210701 1
0.1%
20210630 1
0.1%
20210625 1
0.1%
20210623 2
0.2%
20210531 1
0.1%
20210529 1
0.1%
20210528 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1163
Missing (%)100.0%
Memory size10.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1163
Missing (%)100.0%
Memory size10.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1163
Missing (%)100.0%
Memory size10.3 KiB

소재지전화
Text

MISSING 

Distinct936
Distinct (%)94.5%
Missing173
Missing (%)14.9%
Memory size9.2 KiB
2024-04-21T19:39:42.779002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.286869
Min length7

Characters and Unicode

Total characters11174
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

Unique890 ?
Unique (%)89.9%

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%
051-647-5766 3
 
0.3%
051-337-7111 3
 
0.3%
051-625-8471 3
 
0.3%
261-6700 3
 
0.3%
051-623-7778 3
 
0.3%
051-816-4500 3
 
0.3%
051-204-2727 2
 
0.2%
051-751-5005 2
 
0.2%
051-465-2120 2
 
0.2%
Other values (926) 962
97.2%
2024-04-21T19:39:43.750836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1742
15.6%
0 1699
15.2%
5 1554
13.9%
1 1544
13.8%
2 838
7.5%
8 696
 
6.2%
6 689
 
6.2%
7 685
 
6.1%
3 685
 
6.1%
4 618
 
5.5%
Other values (4) 424
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9389
84.0%
Dash Punctuation 1742
 
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 1699
18.1%
5 1554
16.6%
1 1544
16.4%
2 838
8.9%
8 696
7.4%
6 689
7.3%
7 685
7.3%
3 685
7.3%
4 618
 
6.6%
9 381
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1742
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 11174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1742
15.6%
0 1699
15.2%
5 1554
13.9%
1 1544
13.8%
2 838
7.5%
8 696
 
6.2%
6 689
 
6.2%
7 685
 
6.1%
3 685
 
6.1%
4 618
 
5.5%
Other values (4) 424
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1742
15.6%
0 1699
15.2%
5 1554
13.9%
1 1544
13.8%
2 838
7.5%
8 696
 
6.2%
6 689
 
6.2%
7 685
 
6.1%
3 685
 
6.1%
4 618
 
5.5%
Other values (4) 424
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1163
Missing (%)100.0%
Memory size10.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)49.9%
Missing480
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean608173.35
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:44.187706image/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
2024-04-21T19:39:44.424251image/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
50.4%
(Missing) 480
41.3%
ValueCountFrequency (%)
48272 1
 
0.1%
48296 1
 
0.1%
49247 1
 
0.1%
600016 1
 
0.1%
600017 1
 
0.1%
600031 2
0.2%
600032 3
0.3%
600042 1
 
0.1%
600045 1
 
0.1%
600052 1
 
0.1%
ValueCountFrequency (%)
619963 6
0.5%
619961 1
 
0.1%
619912 2
 
0.2%
619905 5
0.4%
619903 4
0.3%
618814 2
 
0.2%
618807 1
 
0.1%
617846 2
 
0.2%
617833 1
 
0.1%
617830 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1013
Distinct (%)95.1%
Missing98
Missing (%)8.4%
Memory size9.2 KiB
2024-04-21T19:39:45.741466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.184977
Min length3

Characters and Unicode

Total characters25757
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

Unique967 ?
Unique (%)90.8%

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 1036
 
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 75
 
1.4%
해운대구 69
 
1.3%
1층 67
 
1.2%
Other values (1369) 3449
63.9%
2024-04-21T19:39:47.309593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4346
 
16.9%
1 1383
 
5.4%
부 1334
 
5.2%
산 1274
 
4.9%
동 1186
 
4.6%
시 1077
 
4.2%
구 1070
 
4.2%
광 1066
 
4.1%
역 1039
 
4.0%
2 907
 
3.5%
Other values (294) 11075
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15319
59.5%
Decimal Number 5647
 
21.9%
Space Separator 4346
 
16.9%
Dash Punctuation 270
 
1.0%
Uppercase Letter 63
 
0.2%
Other Punctuation 46
 
0.2%
Open Punctuation 31
 
0.1%
Close Punctuation 31
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1334
 
8.7%
산 1274
 
8.3%
동 1186
 
7.7%
시 1077
 
7.0%
구 1070
 
7.0%
광 1066
 
7.0%
역 1039
 
6.8%
지 835
 
5.5%
호 798
 
5.2%
번 786
 
5.1%
Other values (260) 4854
31.7%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
K 10
15.9%
B 7
11.1%
A 6
9.5%
H 5
7.9%
C 5
7.9%
E 5
7.9%
Y 4
 
6.3%
U 4
 
6.3%
G 2
 
3.2%
Other values (3) 4
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 1383
24.5%
2 907
16.1%
3 636
11.3%
4 543
 
9.6%
5 469
 
8.3%
0 395
 
7.0%
6 361
 
6.4%
7 339
 
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 (%)
t 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
4346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15319
59.5%
Common 10373
40.3%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1334
 
8.7%
산 1274
 
8.3%
동 1186
 
7.7%
시 1077
 
7.0%
구 1070
 
7.0%
광 1066
 
7.0%
역 1039
 
6.8%
지 835
 
5.5%
호 798
 
5.2%
번 786
 
5.1%
Other values (260) 4854
31.7%
Common
ValueCountFrequency (%)
4346
41.9%
1 1383
 
13.3%
2 907
 
8.7%
3 636
 
6.1%
4 543
 
5.2%
5 469
 
4.5%
0 395
 
3.8%
6 361
 
3.5%
7 339
 
3.3%
8 315
 
3.0%
Other values (9) 679
 
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%
Y 4
 
6.2%
U 4
 
6.2%
G 2
 
3.1%
Other values (5) 6
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15319
59.5%
ASCII 10438
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4346
41.6%
1 1383
 
13.2%
2 907
 
8.7%
3 636
 
6.1%
4 543
 
5.2%
5 469
 
4.5%
0 395
 
3.8%
6 361
 
3.5%
7 339
 
3.2%
8 315
 
3.0%
Other values (24) 744
 
7.1%
Hangul
ValueCountFrequency (%)
부 1334
 
8.7%
산 1274
 
8.3%
동 1186
 
7.7%
시 1077
 
7.0%
구 1070
 
7.0%
광 1066
 
7.0%
역 1039
 
6.8%
지 835
 
5.5%
호 798
 
5.2%
번 786
 
5.1%
Other values (260) 4854
31.7%

도로명전체주소
Text

MISSING 

Distinct1006
Distinct (%)93.1%
Missing82
Missing (%)7.1%
Memory size9.2 KiB
2024-04-21T19:39:48.587321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length27.995375
Min length20

Characters and Unicode

Total characters30263
Distinct characters349
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

Unique945 ?
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 1082
 
17.8%
1층 159
 
2.6%
금정구 154
 
2.5%
부산진구 136
 
2.2%
해운대구 98
 
1.6%
남구 92
 
1.5%
사하구 87
 
1.4%
동래구 86
 
1.4%
중구 75
 
1.2%
부전동 68
 
1.1%
Other values (1339) 4034
66.4%
2024-04-21T19:39:50.356937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4994
 
16.5%
부 1370
 
4.5%
동 1367
 
4.5%
산 1320
 
4.4%
광 1163
 
3.8%
시 1163
 
3.8%
구 1115
 
3.7%
역 1084
 
3.6%
( 1068
 
3.5%
) 1068
 
3.5%
Other values (339) 14551
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18100
59.8%
Space Separator 4994
 
16.5%
Decimal Number 4266
 
14.1%
Open Punctuation 1068
 
3.5%
Close Punctuation 1068
 
3.5%
Other Punctuation 521
 
1.7%
Dash Punctuation 163
 
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 1370
 
7.6%
동 1367
 
7.6%
산 1320
 
7.3%
광 1163
 
6.4%
시 1163
 
6.4%
구 1115
 
6.2%
역 1084
 
6.0%
로 1064
 
5.9%
대 575
 
3.2%
정 259
 
1.4%
Other values (304) 7620
42.1%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.7%
K 12
16.9%
B 11
15.5%
H 5
 
7.0%
A 5
 
7.0%
C 5
 
7.0%
G 4
 
5.6%
Y 4
 
5.6%
U 4
 
5.6%
E 3
 
4.2%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1065
25.0%
2 652
15.3%
3 404
 
9.5%
0 374
 
8.8%
4 363
 
8.5%
5 316
 
7.4%
7 314
 
7.4%
6 293
 
6.9%
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 (%)
, 517
99.2%
. 4
 
0.8%
Space Separator
ValueCountFrequency (%)
4994
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1068
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1068
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18100
59.8%
Common 12087
39.9%
Latin 76
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1370
 
7.6%
동 1367
 
7.6%
산 1320
 
7.3%
광 1163
 
6.4%
시 1163
 
6.4%
구 1115
 
6.2%
역 1084
 
6.0%
로 1064
 
5.9%
대 575
 
3.2%
정 259
 
1.4%
Other values (304) 7620
42.1%
Latin
ValueCountFrequency (%)
S 14
18.4%
K 12
15.8%
B 11
14.5%
H 5
 
6.6%
A 5
 
6.6%
C 5
 
6.6%
G 4
 
5.3%
Y 4
 
5.3%
U 4
 
5.3%
E 3
 
3.9%
Other values (8) 9
11.8%
Common
ValueCountFrequency (%)
4994
41.3%
( 1068
 
8.8%
) 1068
 
8.8%
1 1065
 
8.8%
2 652
 
5.4%
, 517
 
4.3%
3 404
 
3.3%
0 374
 
3.1%
4 363
 
3.0%
5 316
 
2.6%
Other values (7) 1266
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18100
59.8%
ASCII 12163
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4994
41.1%
( 1068
 
8.8%
) 1068
 
8.8%
1 1065
 
8.8%
2 652
 
5.4%
, 517
 
4.3%
3 404
 
3.3%
0 374
 
3.1%
4 363
 
3.0%
5 316
 
2.6%
Other values (25) 1342
 
11.0%
Hangul
ValueCountFrequency (%)
부 1370
 
7.6%
동 1367
 
7.6%
산 1320
 
7.3%
광 1163
 
6.4%
시 1163
 
6.4%
구 1115
 
6.2%
역 1084
 
6.0%
로 1064
 
5.9%
대 575
 
3.2%
정 259
 
1.4%
Other values (304) 7620
42.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct534
Distinct (%)58.9%
Missing256
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean83907.454
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:50.752185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147129.5
median47864
Q348945
95-th percentile608805
Maximum619963
Range573959
Interquartile range (IQR)1815.5

Descriptive statistics

Standard deviation138194.82
Coefficient of variation (CV)1.6469909
Kurtosis10.776046
Mean83907.454
Median Absolute Deviation (MAD)871
Skewness3.570722
Sum76104061
Variance1.9097807 × 1010
MonotonicityNot monotonic
2024-04-21T19:39:51.165971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48946 21
 
1.8%
48953 13
 
1.1%
46291 11
 
0.9%
48945 10
 
0.9%
46576 8
 
0.7%
47295 8
 
0.7%
47296 8
 
0.7%
48095 7
 
0.6%
46726 7
 
0.6%
47254 7
 
0.6%
Other values (524) 807
69.4%
(Missing) 256
 
22.0%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 2
 
0.2%
46010 1
 
0.1%
46015 5
0.4%
46017 1
 
0.1%
46029 1
 
0.1%
46048 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

Distinct912
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-04-21T19:39:52.195406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.7325881
Min length2

Characters and Unicode

Total characters7830
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

Unique795 ?
Unique (%)68.4%

Sample

1st row부산당안경점
2nd row산타클로스안경
3rd row제일안경콘택트
4th row피카소안경원
5th row갤러리 안경
ValueCountFrequency (%)
안경원 65
 
4.5%
안경 44
 
3.0%
갤러리안경 30
 
2.1%
안경나라 22
 
1.5%
눈사랑안경 18
 
1.2%
갤러리안경원 13
 
0.9%
초이스안경 13
 
0.9%
오렌즈 12
 
0.8%
제일안경원 11
 
0.8%
다비치안경 10
 
0.7%
Other values (916) 1210
83.6%
2024-04-21T19:39:53.476766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1058
 
13.5%
경 1056
 
13.5%
원 401
 
5.1%
285
 
3.6%
점 265
 
3.4%
이 259
 
3.3%
아 202
 
2.6%
스 182
 
2.3%
리 124
 
1.6%
0 90
 
1.1%
Other values (401) 3908
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7082
90.4%
Space Separator 285
 
3.6%
Decimal Number 180
 
2.3%
Uppercase Letter 85
 
1.1%
Lowercase Letter 58
 
0.7%
Open Punctuation 56
 
0.7%
Close 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 1058
 
14.9%
경 1056
 
14.9%
원 401
 
5.7%
점 265
 
3.7%
이 259
 
3.7%
아 202
 
2.9%
스 182
 
2.6%
리 124
 
1.8%
트 84
 
1.2%
비 80
 
1.1%
Other values (344) 3371
47.6%
Uppercase Letter
ValueCountFrequency (%)
O 13
15.3%
E 8
 
9.4%
S 7
 
8.2%
L 6
 
7.1%
K 5
 
5.9%
G 5
 
5.9%
C 4
 
4.7%
N 4
 
4.7%
I 4
 
4.7%
M 4
 
4.7%
Other values (12) 25
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
12.1%
a 6
10.3%
o 6
10.3%
c 6
10.3%
i 6
10.3%
t 5
8.6%
n 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 (%)
285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7082
90.4%
Common 604
 
7.7%
Latin 143
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1058
 
14.9%
경 1056
 
14.9%
원 401
 
5.7%
점 265
 
3.7%
이 259
 
3.7%
아 202
 
2.9%
스 182
 
2.6%
리 124
 
1.8%
트 84
 
1.2%
비 80
 
1.1%
Other values (344) 3371
47.6%
Latin
ValueCountFrequency (%)
O 13
 
9.1%
E 8
 
5.6%
e 7
 
4.9%
S 7
 
4.9%
a 6
 
4.2%
o 6
 
4.2%
c 6
 
4.2%
i 6
 
4.2%
L 6
 
4.2%
K 5
 
3.5%
Other values (29) 73
51.0%
Common
ValueCountFrequency (%)
285
47.2%
0 90
 
14.9%
( 56
 
9.3%
) 56
 
9.3%
1 43
 
7.1%
8 23
 
3.8%
5 16
 
2.6%
. 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 7081
90.4%
ASCII 742
 
9.5%
None 5
 
0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1058
 
14.9%
경 1056
 
14.9%
원 401
 
5.7%
점 265
 
3.7%
이 259
 
3.7%
아 202
 
2.9%
스 182
 
2.6%
리 124
 
1.8%
트 84
 
1.2%
비 80
 
1.1%
Other values (343) 3370
47.6%
ASCII
ValueCountFrequency (%)
285
38.4%
0 90
 
12.1%
( 56
 
7.5%
) 56
 
7.5%
1 43
 
5.8%
8 23
 
3.1%
5 16
 
2.2%
O 13
 
1.8%
. 13
 
1.8%
E 8
 
1.1%
Other values (44) 139
18.7%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1137
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148195 × 1013
Minimum2.008112 × 1013
Maximum2.021073 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:53.898292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120314 × 1013
median2.015021 × 1013
Q32.0180904 × 1013
95-th percentile2.0210316 × 1013
Maximum2.021073 × 1013
Range1.2961004 × 1011
Interquartile range (IQR)6.0589449 × 1010

Descriptive statistics

Standard deviation3.8323178 × 1010
Coefficient of variation (CV)0.0019020651
Kurtosis-1.1245079
Mean2.0148195 × 1013
Median Absolute Deviation (MAD)3.0092034 × 1010
Skewness-0.020316546
Sum2.3432351 × 1016
Variance1.468666 × 1021
MonotonicityNot monotonic
2024-04-21T19:39:54.363592image/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%
20150623152848 1
 
0.1%
20111123154443 1
 
0.1%
20121220160844 1
 
0.1%
20111124092048 1
 
0.1%
20081206110426 1
 
0.1%
20111124092247 1
 
0.1%
Other values (1127) 1127
96.9%
ValueCountFrequency (%)
20081120141639 1
 
0.1%
20081126140756 1
 
0.1%
20081126141153 1
 
0.1%
20081201183150 18
1.5%
20081201183151 2
 
0.2%
20081206110426 1
 
0.1%
20081215160831 1
 
0.1%
20081215160832 4
 
0.3%
20081215160833 6
 
0.5%
20081226155323 1
 
0.1%
ValueCountFrequency (%)
20210730180803 1
0.1%
20210729180651 1
0.1%
20210729173142 1
0.1%
20210729105316 1
0.1%
20210727172945 1
0.1%
20210727135957 1
0.1%
20210726152758 1
0.1%
20210721160823 1
0.1%
20210712105909 1
0.1%
20210712105826 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
I
936 
U
227 

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 936
80.5%
U 227
 
19.5%

Length

2024-04-21T19:39:54.780321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:55.081187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 936
80.5%
u 227
 
19.5%

데이터갱신일자
Date

Distinct248
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-08-01 02:40:00
2024-04-21T19:39:55.408004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:39:55.816644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1163
Missing (%)100.0%
Memory size10.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct930
Distinct (%)85.7%
Missing78
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean388113.25
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:56.210064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379712.54
Q1384883.11
median388648.63
Q3391283.63
95-th percentile397389.12
Maximum403236.19
Range36128.006
Interquartile range (IQR)6400.5215

Descriptive statistics

Standard deviation5242.8667
Coefficient of variation (CV)0.0135086
Kurtosis0.44889643
Mean388113.25
Median Absolute Deviation (MAD)3204.1875
Skewness-0.028523709
Sum4.2110287 × 108
Variance27487651
MonotonicityNot monotonic
2024-04-21T19:39:56.654637image/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%
389816.233000769 5
 
0.4%
387920.292112964 5
 
0.4%
389314.662085919 5
 
0.4%
389097.800933845 5
 
0.4%
398237.363461482 4
 
0.3%
384874.515689472 4
 
0.3%
384903.52410762 4
 
0.3%
395388.715069604 4
 
0.3%
Other values (920) 1034
88.9%
(Missing) 78
 
6.7%
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 

Distinct931
Distinct (%)85.8%
Missing78
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean187349.86
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:57.058880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178643.72
Q1183601.95
median187082.76
Q3191873.06
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8271.107

Descriptive statistics

Standard deviation5863.5265
Coefficient of variation (CV)0.031297202
Kurtosis-0.1600249
Mean187349.86
Median Absolute Deviation (MAD)4373.2328
Skewness0.1855584
Sum2.032746 × 108
Variance34380943
MonotonicityNot monotonic
2024-04-21T19:39:57.477190image/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%
192260.811648263 5
 
0.4%
186157.316240551 5
 
0.4%
194669.898821687 5
 
0.4%
193329.605871168 5
 
0.4%
187602.933160728 4
 
0.3%
179553.867031936 4
 
0.3%
186268.853282623 4
 
0.3%
179978.235223733 4
 
0.3%
Other values (921) 1034
88.9%
(Missing) 78
 
6.7%
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
953 
0
172 
2
 
31
<NA>
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.0128977
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 953
81.9%
0 172
 
14.8%
2 31
 
2.7%
<NA> 5
 
0.4%
3 2
 
0.2%

Length

2024-04-21T19:39:57.907018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:58.240056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 953
81.9%
0 172
 
14.8%
2 31
 
2.7%
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
177 
<NA>
 
41
2
 
33
3
 
6

Length

Max length4
Median length1
Mean length1.1074807
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 905
77.8%
0 177
 
15.2%
<NA> 41
 
3.5%
2 33
 
2.8%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:39:58.609239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:39:58.944649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
77.8%
0 177
 
15.2%
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%
Missing49
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.90664273
Minimum0
Maximum11
Zeros178
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:59.260445image/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 deviation0.57679821
Coefficient of variation (CV)0.63619129
Kurtosis88.337256
Mean0.90664273
Median Absolute Deviation (MAD)0
Skewness5.3781255
Sum1010
Variance0.33269618
MonotonicityNot monotonic
2024-04-21T19:39:59.594712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 884
76.0%
0 178
 
15.3%
2 43
 
3.7%
3 4
 
0.3%
4 3
 
0.3%
11 1
 
0.1%
5 1
 
0.1%
(Missing) 49
 
4.2%
ValueCountFrequency (%)
0 178
 
15.3%
1 884
76.0%
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
76.0%
0 178
 
15.3%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing5
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.92141623
Minimum0
Maximum10
Zeros174
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:39:59.927624image/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 deviation0.59807302
Coefficient of variation (CV)0.64908018
Kurtosis56.370527
Mean0.92141623
Median Absolute Deviation (MAD)0
Skewness4.6183714
Sum1067
Variance0.35769134
MonotonicityNot monotonic
2024-04-21T19:40:00.488144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 937
80.6%
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%
1 937
80.6%
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%
1 937
80.6%
0 174
 
15.0%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
1
850 
0
172 
2
102 
3
 
26
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0180567
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 850
73.1%
0 172
 
14.8%
2 102
 
8.8%
3 26
 
2.2%
<NA> 7
 
0.6%
4 6
 
0.5%

Length

2024-04-21T19:40:00.878991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:40:01.218396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 850
73.1%
0 172
 
14.8%
2 102
 
8.8%
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
180 
<NA>
 
53
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1367154
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 902
77.6%
0 180
 
15.5%
<NA> 53
 
4.6%
2 27
 
2.3%
3 1
 
0.1%

Length

2024-04-21T19:40:01.598871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:40:01.927922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 902
77.6%
0 180
 
15.5%
na 53
 
4.6%
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
181 
<NA>
 
51
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1315563
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 911
78.3%
0 181
 
15.6%
<NA> 51
 
4.4%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:40:02.296536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:40:02.626703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 911
78.3%
0 181
 
15.6%
na 51
 
4.4%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing53
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean0.95585586
Minimum0
Maximum5
Zeros179
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:40:02.931805image/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 deviation0.5656511
Coefficient of variation (CV)0.59177448
Kurtosis6.267974
Mean0.95585586
Median Absolute Deviation (MAD)0
Skewness0.97871323
Sum1061
Variance0.31996117
MonotonicityNot monotonic
2024-04-21T19:40:03.269285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 818
70.3%
0 179
 
15.4%
2 101
 
8.7%
3 9
 
0.8%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 53
 
4.6%
ValueCountFrequency (%)
0 179
 
15.4%
1 818
70.3%
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
70.3%
0 179
 
15.4%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing52
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean0.99009901
Minimum0
Maximum5
Zeros178
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:40:03.589051image/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 deviation0.60544905
Coefficient of variation (CV)0.61150354
Kurtosis3.9187359
Mean0.99009901
Median Absolute Deviation (MAD)0
Skewness0.90719554
Sum1100
Variance0.36656855
MonotonicityNot monotonic
2024-04-21T19:40:03.926937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 792
68.1%
0 178
 
15.3%
2 119
 
10.2%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 52
 
4.5%
ValueCountFrequency (%)
0 178
 
15.3%
1 792
68.1%
2 119
 
10.2%
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
 
10.2%
1 792
68.1%
0 178
 
15.3%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct486
Distinct (%)74.8%
Missing513
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean75.983108
Minimum0
Maximum723.02
Zeros68
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2024-04-21T19:40:04.290576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median58.5
Q398.105
95-th percentile210.858
Maximum723.02
Range723.02
Interquartile range (IQR)65.105

Descriptive statistics

Standard deviation72.391475
Coefficient of variation (CV)0.95273117
Kurtosis18.952967
Mean75.983108
Median Absolute Deviation (MAD)30.845
Skewness3.0842748
Sum49389.02
Variance5240.5257
MonotonicityNot monotonic
2024-04-21T19:40:04.724248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 68
 
5.8%
33.0 9
 
0.8%
66.0 5
 
0.4%
56.0 4
 
0.3%
46.2 4
 
0.3%
57.6 4
 
0.3%
49.5 4
 
0.3%
60.0 4
 
0.3%
50.0 3
 
0.3%
105.6 3
 
0.3%
Other values (476) 542
46.6%
(Missing) 513
44.1%
ValueCountFrequency (%)
0.0 68
5.8%
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 

Missing1163
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_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>
910안경업01_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적Unnamed: 38
11531154안경업01_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>
11541155안경업01_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>
11551156안경업01_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>
11561157안경업01_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>
11571158안경업01_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>
11581159안경업01_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>
11591160안경업01_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>
11601161안경업01_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>
11611162안경업01_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>
11621163안경업01_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>