Overview

Dataset statistics

Number of variables39
Number of observations1205
Missing cells11161
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.2 KiB
Average record size in memory340.1 B

Variable types

Numeric14
Categorical12
Text5
Unsupported7
DateTime1

Dataset

Description2022-12-01
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 (64.9%)Imbalance
표본렌즈수 is highly imbalanced (57.8%)Imbalance
정점굴절계기수 is highly imbalanced (51.2%)Imbalance
조제용연마기수 is highly imbalanced (53.8%)Imbalance
렌즈절단기수 is highly imbalanced (55.5%)Imbalance
인허가취소일자 has 1205 (100.0%) missing valuesMissing
폐업일자 has 788 (65.4%) missing valuesMissing
휴업시작일자 has 1205 (100.0%) missing valuesMissing
휴업종료일자 has 1205 (100.0%) missing valuesMissing
재개업일자 has 1205 (100.0%) missing valuesMissing
소재지전화 has 187 (15.5%) missing valuesMissing
소재지면적 has 1205 (100.0%) missing valuesMissing
소재지우편번호 has 538 (44.6%) missing valuesMissing
소재지전체주소 has 104 (8.6%) missing valuesMissing
도로명전체주소 has 82 (6.8%) missing valuesMissing
도로명우편번호 has 256 (21.2%) missing valuesMissing
업태구분명 has 1205 (100.0%) missing valuesMissing
좌표정보(x) has 82 (6.8%) missing valuesMissing
좌표정보(y) has 82 (6.8%) missing valuesMissing
측정의자수 has 39 (3.2%) missing valuesMissing
가열기수 has 42 (3.5%) missing valuesMissing
안경세척기수 has 41 (3.4%) missing valuesMissing
총면적 has 481 (39.9%) missing valuesMissing
Unnamed: 38 has 1205 (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 231 (19.2%) zerosZeros
동공거리측정기수 has 172 (14.3%) zerosZeros
가열기수 has 233 (19.3%) zerosZeros
안경세척기수 has 232 (19.3%) zerosZeros
총면적 has 91 (7.6%) zerosZeros

Reproduction

Analysis started2024-04-21 10:28:51.829699
Analysis finished2024-04-21 10:28:53.389987
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean603
Minimum1
Maximum1205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:28:53.530189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile61.2
Q1302
median603
Q3904
95-th percentile1144.8
Maximum1205
Range1204
Interquartile range (IQR)602

Descriptive statistics

Standard deviation347.99784
Coefficient of variation (CV)0.57711085
Kurtosis-1.2
Mean603
Median Absolute Deviation (MAD)301
Skewness0
Sum726615
Variance121102.5
MonotonicityStrictly increasing
2024-04-21T19:28:53.803881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
811 1
 
0.1%
809 1
 
0.1%
808 1
 
0.1%
807 1
 
0.1%
806 1
 
0.1%
805 1
 
0.1%
804 1
 
0.1%
803 1
 
0.1%
802 1
 
0.1%
Other values (1195) 1195
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 (%)
1205 1
0.1%
1204 1
0.1%
1203 1
0.1%
1202 1
0.1%
1201 1
0.1%
1200 1
0.1%
1199 1
0.1%
1198 1
0.1%
1197 1
0.1%
1196 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
안경업
1205 

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 1205
100.0%

Length

2024-04-21T19:28:54.037569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:54.201826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 1205
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
01_02_01_P
1205 

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 1205
100.0%

Length

2024-04-21T19:28:54.367297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:54.527072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 1205
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325136.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:28:54.680528image/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 deviation39861.705
Coefficient of variation (CV)0.011987989
Kurtosis-0.73669176
Mean3325136.9
Median Absolute Deviation (MAD)30000
Skewness-0.047190583
Sum4.00679 × 109
Variance1.5889555 × 109
MonotonicityIncreasing
2024-04-21T19:28:54.887266image/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
9.6%
3330000 103
8.5%
3340000 94
7.8%
3300000 92
7.6%
3250000 81
6.7%
3320000 70
 
5.8%
3390000 68
 
5.6%
3370000 66
 
5.5%
Other values (6) 189
15.7%
ValueCountFrequency (%)
3250000 81
6.7%
3260000 23
 
1.9%
3270000 29
 
2.4%
3280000 27
 
2.2%
3290000 149
12.4%
3300000 92
7.6%
3310000 116
9.6%
3320000 70
5.8%
3330000 103
8.5%
3340000 94
7.8%
ValueCountFrequency (%)
3400000 37
 
3.1%
3390000 68
 
5.6%
3380000 54
 
4.5%
3370000 66
 
5.5%
3360000 19
 
1.6%
3350000 177
14.7%
3340000 94
7.8%
3330000 103
8.5%
3320000 70
 
5.8%
3310000 116
9.6%

관리번호
Text

UNIQUE 

Distinct1205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2024-04-21T19:28:55.730523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters30125
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

Unique1205 ?
Unique (%)100.0%

Sample

1st rowPHMB220183250021082200001
2nd rowPHMB220103250021082200001
3rd rowPHMB219933250021082200001
4th rowPHMB220103250021082200006
5th rowPHMB220143250021082200001
ValueCountFrequency (%)
phmb220183250021082200001 1
 
0.1%
phmb219843350024082200001 1
 
0.1%
phmb219913350024082200005 1
 
0.1%
phmb219783350024082200001 1
 
0.1%
phmb219863350024082200004 1
 
0.1%
phmb219863350024082200003 1
 
0.1%
phmb219883350024082200002 1
 
0.1%
phmb219853350024082200002 1
 
0.1%
phmb220083350024082200001 1
 
0.1%
phmb220073350024082200002 1
 
0.1%
Other values (1195) 1195
99.2%
2024-04-21T19:28:56.585981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9850
32.7%
2 6514
21.6%
3 2640
 
8.8%
1 1638
 
5.4%
8 1541
 
5.1%
P 1205
 
4.0%
H 1205
 
4.0%
M 1205
 
4.0%
B 1205
 
4.0%
4 1070
 
3.6%
Other values (4) 2052
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25305
84.0%
Uppercase Letter 4820
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9850
38.9%
2 6514
25.7%
3 2640
 
10.4%
1 1638
 
6.5%
8 1541
 
6.1%
4 1070
 
4.2%
9 978
 
3.9%
5 601
 
2.4%
7 256
 
1.0%
6 217
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1205
25.0%
H 1205
25.0%
M 1205
25.0%
B 1205
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25305
84.0%
Latin 4820
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9850
38.9%
2 6514
25.7%
3 2640
 
10.4%
1 1638
 
6.5%
8 1541
 
6.1%
4 1070
 
4.2%
9 978
 
3.9%
5 601
 
2.4%
7 256
 
1.0%
6 217
 
0.9%
Latin
ValueCountFrequency (%)
P 1205
25.0%
H 1205
25.0%
M 1205
25.0%
B 1205
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9850
32.7%
2 6514
21.6%
3 2640
 
8.8%
1 1638
 
5.4%
8 1541
 
5.1%
P 1205
 
4.0%
H 1205
 
4.0%
M 1205
 
4.0%
B 1205
 
4.0%
4 1070
 
3.6%
Other values (4) 2052
 
6.8%

인허가일자
Real number (ℝ)

Distinct1104
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20045200
Minimum19710518
Maximum20221019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:28:56.840998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710518
5-th percentile19850636
Q119960521
median20060718
Q320140404
95-th percentile20210285
Maximum20221019
Range510501
Interquartile range (IQR)179883

Descriptive statistics

Standard deviation112173.47
Coefficient of variation (CV)0.0055960263
Kurtosis-0.76285025
Mean20045200
Median Absolute Deviation (MAD)89586
Skewness-0.39086289
Sum2.4154467 × 1010
Variance1.2582887 × 1010
MonotonicityNot monotonic
2024-04-21T19:28:57.108621image/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%
20080526 2
 
0.2%
20221007 2
 
0.2%
19910724 2
 
0.2%
20020326 2
 
0.2%
20140416 2
 
0.2%
20001004 2
 
0.2%
Other values (1094) 1170
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 (%)
20221019 1
0.1%
20221007 2
0.2%
20220922 1
0.1%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1205
Missing (%)100.0%
Memory size10.7 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
768 
3
429 
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 (%)
1 768
63.7%
3 429
35.6%
4 8
 
0.7%

Length

2024-04-21T19:28:57.342588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:57.516743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 768
63.7%
3 429
35.6%
4 8
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
영업/정상
768 
폐업
429 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length3.9917012
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 768
63.7%
폐업 429
35.6%
취소/말소/만료/정지/중지 8
 
0.7%

Length

2024-04-21T19:28:57.709201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:57.891994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 768
63.7%
폐업 429
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
768 
3
429 
24
 
8

Length

Max length2
Median length2
Mean length1.6439834
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 768
63.7%
3 429
35.6%
24 8
 
0.7%

Length

2024-04-21T19:28:58.077256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:58.253310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 768
63.7%
3 429
35.6%
24 8
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
영업중
768 
폐업
429 
직권폐업
 
8

Length

Max length4
Median length3
Mean length2.6506224
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 768
63.7%
폐업 429
35.6%
직권폐업 8
 
0.7%

Length

2024-04-21T19:28:58.452443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:28:58.642416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 768
63.7%
폐업 429
35.6%
직권폐업 8
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct388
Distinct (%)93.0%
Missing788
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean20107865
Minimum19851128
Maximum20221019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:28:58.846998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19851128
5-th percentile19928326
Q120081126
median20120730
Q320180322
95-th percentile20210727
Maximum20221019
Range369891
Interquartile range (IQR)99196

Descriptive statistics

Standard deviation88136.661
Coefficient of variation (CV)0.0043831934
Kurtosis-0.21000909
Mean20107865
Median Absolute Deviation (MAD)59375
Skewness-0.86802007
Sum8.3849797 × 109
Variance7.7680711 × 109
MonotonicityNot monotonic
2024-04-21T19:28:59.114333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110303 3
 
0.2%
19951109 2
 
0.2%
20140602 2
 
0.2%
20110408 2
 
0.2%
20111130 2
 
0.2%
20100803 2
 
0.2%
20091028 2
 
0.2%
20110131 2
 
0.2%
20210712 2
 
0.2%
20110211 2
 
0.2%
Other values (378) 396
32.9%
(Missing) 788
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 (%)
20221019 1
0.1%
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%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1205
Missing (%)100.0%
Memory size10.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1205
Missing (%)100.0%
Memory size10.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1205
Missing (%)100.0%
Memory size10.7 KiB

소재지전화
Text

MISSING 

Distinct960
Distinct (%)94.3%
Missing187
Missing (%)15.5%
Memory size9.5 KiB
2024-04-21T19:28:59.889533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.300589
Min length7

Characters and Unicode

Total characters11504
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

Unique910 ?
Unique (%)89.4%

Sample

1st row2531216
2nd row070-4116-2770
3rd row051-253-1216
4th row051-246-0006
5th row051-245-1999
ValueCountFrequency (%)
051-808-7088 4
 
0.4%
051-647-5766 3
 
0.3%
051-337-7111 3
 
0.3%
051-816-4500 3
 
0.3%
051-625-8471 3
 
0.3%
261-6700 3
 
0.3%
051-623-7778 3
 
0.3%
524-4100 2
 
0.2%
051-626-3370 2
 
0.2%
051-312-2809 2
 
0.2%
Other values (950) 990
97.2%
2024-04-21T19:29:01.094758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1795
15.6%
0 1745
15.2%
5 1610
14.0%
1 1591
13.8%
2 867
7.5%
8 710
 
6.2%
6 703
 
6.1%
3 703
 
6.1%
7 701
 
6.1%
4 634
 
5.5%
Other values (4) 445
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9666
84.0%
Dash Punctuation 1795
 
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 1745
18.1%
5 1610
16.7%
1 1591
16.5%
2 867
9.0%
8 710
7.3%
6 703
7.3%
3 703
7.3%
7 701
7.3%
4 634
 
6.6%
9 402
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1795
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 11504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1795
15.6%
0 1745
15.2%
5 1610
14.0%
1 1591
13.8%
2 867
7.5%
8 710
 
6.2%
6 703
 
6.1%
3 703
 
6.1%
7 701
 
6.1%
4 634
 
5.5%
Other values (4) 445
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1795
15.6%
0 1745
15.2%
5 1610
14.0%
1 1591
13.8%
2 867
7.5%
8 710
 
6.2%
6 703
 
6.1%
3 703
 
6.1%
7 701
 
6.1%
4 634
 
5.5%
Other values (4) 445
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1205
Missing (%)100.0%
Memory size10.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct339
Distinct (%)50.8%
Missing538
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean608111.26
Minimum48272
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:01.488304image/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
2024-04-21T19:29:01.906633image/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
47.5%
(Missing) 538
44.6%
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 

Distinct1047
Distinct (%)95.1%
Missing104
Missing (%)8.6%
Memory size9.5 KiB
2024-04-21T19:29:03.100379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.079927
Min length3

Characters and Unicode

Total characters26512
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

Unique998 ?
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 1072
 
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 (1432) 3547
63.9%
2024-04-21T19:29:04.727209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4463
 
16.8%
1 1402
 
5.3%
부 1382
 
5.2%
산 1319
 
5.0%
동 1224
 
4.6%
시 1118
 
4.2%
광 1106
 
4.2%
구 1102
 
4.2%
역 1077
 
4.1%
2 926
 
3.5%
Other values (308) 11393
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15782
59.5%
Decimal Number 5783
 
21.8%
Space Separator 4463
 
16.8%
Dash Punctuation 314
 
1.2%
Uppercase Letter 64
 
0.2%
Other Punctuation 42
 
0.2%
Close Punctuation 30
 
0.1%
Open Punctuation 30
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1382
 
8.8%
산 1319
 
8.4%
동 1224
 
7.8%
시 1118
 
7.1%
광 1106
 
7.0%
구 1102
 
7.0%
역 1077
 
6.8%
지 821
 
5.2%
호 782
 
5.0%
번 766
 
4.9%
Other values (274) 5085
32.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.2%
K 10
15.6%
B 7
10.9%
E 6
9.4%
A 6
9.4%
C 5
7.8%
H 5
7.8%
U 4
 
6.2%
Y 4
 
6.2%
L 2
 
3.1%
Other values (3) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 1402
24.2%
2 926
16.0%
3 645
11.2%
4 553
 
9.6%
5 482
 
8.3%
0 402
 
7.0%
6 374
 
6.5%
7 356
 
6.2%
8 328
 
5.7%
9 315
 
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 (%)
4463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15782
59.5%
Common 10664
40.2%
Latin 66
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1382
 
8.8%
산 1319
 
8.4%
동 1224
 
7.8%
시 1118
 
7.1%
광 1106
 
7.0%
구 1102
 
7.0%
역 1077
 
6.8%
지 821
 
5.2%
호 782
 
5.0%
번 766
 
4.9%
Other values (274) 5085
32.2%
Common
ValueCountFrequency (%)
4463
41.9%
1 1402
 
13.1%
2 926
 
8.7%
3 645
 
6.0%
4 553
 
5.2%
5 482
 
4.5%
0 402
 
3.8%
6 374
 
3.5%
7 356
 
3.3%
8 328
 
3.1%
Other values (9) 733
 
6.9%
Latin
ValueCountFrequency (%)
S 11
16.7%
K 10
15.2%
B 7
10.6%
E 6
9.1%
A 6
9.1%
C 5
7.6%
H 5
7.6%
U 4
 
6.1%
Y 4
 
6.1%
L 2
 
3.0%
Other values (5) 6
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15782
59.5%
ASCII 10730
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4463
41.6%
1 1402
 
13.1%
2 926
 
8.6%
3 645
 
6.0%
4 553
 
5.2%
5 482
 
4.5%
0 402
 
3.7%
6 374
 
3.5%
7 356
 
3.3%
8 328
 
3.1%
Other values (24) 799
 
7.4%
Hangul
ValueCountFrequency (%)
부 1382
 
8.8%
산 1319
 
8.4%
동 1224
 
7.8%
시 1118
 
7.1%
광 1106
 
7.0%
구 1102
 
7.0%
역 1077
 
6.8%
지 821
 
5.2%
호 782
 
5.0%
번 766
 
4.9%
Other values (274) 5085
32.2%

도로명전체주소
Text

MISSING 

Distinct1048
Distinct (%)93.3%
Missing82
Missing (%)6.8%
Memory size9.5 KiB
2024-04-21T19:29:05.906690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length28.211932
Min length20

Characters and Unicode

Total characters31682
Distinct characters359
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

Unique986 ?
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 1124
 
17.7%
1층 192
 
3.0%
금정구 155
 
2.4%
부산진구 143
 
2.2%
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 (1380) 4226
66.4%
2024-04-21T19:29:07.345695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5245
 
16.6%
부 1432
 
4.5%
동 1421
 
4.5%
산 1371
 
4.3%
시 1210
 
3.8%
광 1209
 
3.8%
구 1159
 
3.7%
역 1128
 
3.6%
1 1127
 
3.6%
로 1107
 
3.5%
Other values (349) 15273
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18929
59.7%
Space Separator 5245
 
16.6%
Decimal Number 4466
 
14.1%
Open Punctuation 1106
 
3.5%
Close Punctuation 1106
 
3.5%
Other Punctuation 578
 
1.8%
Dash Punctuation 168
 
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 1432
 
7.6%
동 1421
 
7.5%
산 1371
 
7.2%
시 1210
 
6.4%
광 1209
 
6.4%
구 1159
 
6.1%
역 1128
 
6.0%
로 1107
 
5.8%
대 593
 
3.1%
층 298
 
1.6%
Other values (314) 8001
42.3%
Uppercase Letter
ValueCountFrequency (%)
S 14
19.4%
K 12
16.7%
B 11
15.3%
A 5
 
6.9%
H 5
 
6.9%
C 5
 
6.9%
G 4
 
5.6%
Y 4
 
5.6%
E 4
 
5.6%
U 4
 
5.6%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1127
25.2%
2 685
15.3%
3 413
 
9.2%
0 398
 
8.9%
4 386
 
8.6%
5 330
 
7.4%
7 324
 
7.3%
6 305
 
6.8%
9 258
 
5.8%
8 240
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
h 1
20.0%
k 1
20.0%
b 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 574
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
5245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18929
59.7%
Common 12676
40.0%
Latin 77
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1432
 
7.6%
동 1421
 
7.5%
산 1371
 
7.2%
시 1210
 
6.4%
광 1209
 
6.4%
구 1159
 
6.1%
역 1128
 
6.0%
로 1107
 
5.8%
대 593
 
3.1%
층 298
 
1.6%
Other values (314) 8001
42.3%
Latin
ValueCountFrequency (%)
S 14
18.2%
K 12
15.6%
B 11
14.3%
A 5
 
6.5%
H 5
 
6.5%
C 5
 
6.5%
G 4
 
5.2%
Y 4
 
5.2%
E 4
 
5.2%
U 4
 
5.2%
Other values (8) 9
11.7%
Common
ValueCountFrequency (%)
5245
41.4%
1 1127
 
8.9%
( 1106
 
8.7%
) 1106
 
8.7%
2 685
 
5.4%
, 574
 
4.5%
3 413
 
3.3%
0 398
 
3.1%
4 386
 
3.0%
5 330
 
2.6%
Other values (7) 1306
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18929
59.7%
ASCII 12753
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5245
41.1%
1 1127
 
8.8%
( 1106
 
8.7%
) 1106
 
8.7%
2 685
 
5.4%
, 574
 
4.5%
3 413
 
3.2%
0 398
 
3.1%
4 386
 
3.0%
5 330
 
2.6%
Other values (25) 1383
 
10.8%
Hangul
ValueCountFrequency (%)
부 1432
 
7.6%
동 1421
 
7.5%
산 1371
 
7.2%
시 1210
 
6.4%
광 1209
 
6.4%
구 1159
 
6.1%
역 1128
 
6.0%
로 1107
 
5.8%
대 593
 
3.1%
층 298
 
1.6%
Other values (314) 8001
42.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct547
Distinct (%)57.6%
Missing256
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean82300.725
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:07.587211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46243
Q147126
median47858
Q348944
95-th percentile608410.4
Maximum619963
Range573959
Interquartile range (IQR)1818

Descriptive statistics

Standard deviation135305.4
Coefficient of variation (CV)1.6440366
Kurtosis11.497946
Mean82300.725
Median Absolute Deviation (MAD)866
Skewness3.6703345
Sum78103388
Variance1.8307552 × 1010
MonotonicityNot monotonic
2024-04-21T19:29:07.820767image/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%
47295 8
 
0.7%
47254 8
 
0.7%
47296 7
 
0.6%
47289 7
 
0.6%
48095 7
 
0.6%
Other values (537) 849
70.5%
(Missing) 256
 
21.2%
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

Distinct960
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2024-04-21T19:29:08.795338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.9020747
Min length2

Characters and Unicode

Total characters8317
Distinct characters416
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique843 ?
Unique (%)70.0%

Sample

1st row국전안경
2nd row아이샵(eye#)안경
3rd row국전안경
4th row눈사랑안경남포
5th row갤러리안경원
ValueCountFrequency (%)
안경원 69
 
4.5%
안경 44
 
2.9%
갤러리안경 30
 
2.0%
안경나라 22
 
1.4%
눈사랑안경 21
 
1.4%
갤러리안경원 13
 
0.8%
오렌즈 12
 
0.8%
초이스안경 12
 
0.8%
으뜸플러스안경 11
 
0.7%
으뜸50안경 11
 
0.7%
Other values (961) 1287
84.0%
2024-04-21T19:29:10.012880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1093
 
13.1%
경 1091
 
13.1%
원 406
 
4.9%
327
 
3.9%
점 289
 
3.5%
이 276
 
3.3%
아 220
 
2.6%
스 196
 
2.4%
리 129
 
1.6%
0 95
 
1.1%
Other values (406) 4195
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7469
89.8%
Space Separator 327
 
3.9%
Decimal Number 192
 
2.3%
Lowercase Letter 90
 
1.1%
Uppercase Letter 90
 
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 1093
 
14.6%
경 1091
 
14.6%
원 406
 
5.4%
점 289
 
3.9%
이 276
 
3.7%
아 220
 
2.9%
스 196
 
2.6%
리 129
 
1.7%
트 88
 
1.2%
러 83
 
1.1%
Other values (348) 3598
48.2%
Uppercase Letter
ValueCountFrequency (%)
O 14
15.6%
E 9
 
10.0%
S 8
 
8.9%
L 6
 
6.7%
N 5
 
5.6%
G 5
 
5.6%
K 5
 
5.6%
I 4
 
4.4%
C 4
 
4.4%
M 4
 
4.4%
Other values (12) 26
28.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
17.8%
n 11
12.2%
a 9
10.0%
c 9
10.0%
l 7
7.8%
i 6
 
6.7%
o 6
 
6.7%
s 5
 
5.6%
t 5
 
5.6%
h 5
 
5.6%
Other values (8) 11
12.2%
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 (%)
327
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 7469
89.8%
Common 667
 
8.0%
Latin 180
 
2.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1093
 
14.6%
경 1091
 
14.6%
원 406
 
5.4%
점 289
 
3.9%
이 276
 
3.7%
아 220
 
2.9%
스 196
 
2.6%
리 129
 
1.7%
트 88
 
1.2%
러 83
 
1.1%
Other values (348) 3598
48.2%
Latin
ValueCountFrequency (%)
e 16
 
8.9%
O 14
 
7.8%
n 11
 
6.1%
a 9
 
5.0%
c 9
 
5.0%
E 9
 
5.0%
S 8
 
4.4%
l 7
 
3.9%
i 6
 
3.3%
L 6
 
3.3%
Other values (30) 85
47.2%
Common
ValueCountFrequency (%)
327
49.0%
0 95
 
14.2%
( 60
 
9.0%
) 60
 
9.0%
1 43
 
6.4%
5 23
 
3.4%
8 22
 
3.3%
. 14
 
2.1%
2 5
 
0.7%
· 4
 
0.6%
Other values (7) 14
 
2.1%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7468
89.8%
ASCII 842
 
10.1%
None 5
 
0.1%
Enclosed Alphanum 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1093
 
14.6%
경 1091
 
14.6%
원 406
 
5.4%
점 289
 
3.9%
이 276
 
3.7%
아 220
 
2.9%
스 196
 
2.6%
리 129
 
1.7%
트 88
 
1.2%
러 83
 
1.1%
Other values (347) 3597
48.2%
ASCII
ValueCountFrequency (%)
327
38.8%
0 95
 
11.3%
( 60
 
7.1%
) 60
 
7.1%
1 43
 
5.1%
5 23
 
2.7%
8 22
 
2.6%
e 16
 
1.9%
. 14
 
1.7%
O 14
 
1.7%
Other values (45) 168
20.0%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1179
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153973 × 1013
Minimum2.008112 × 1013
Maximum2.0221026 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:10.334013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008112 × 1013
5-th percentile2.0090209 × 1013
Q12.0120607 × 1013
median2.0151106 × 1013
Q32.0190801 × 1013
95-th percentile2.0220427 × 1013
Maximum2.0221026 × 1013
Range1.3990601 × 1011
Interquartile range (IQR)7.019402 × 1010

Descriptive statistics

Standard deviation4.2434141 × 1010
Coefficient of variation (CV)0.0021054975
Kurtosis-1.1946367
Mean2.0153973 × 1013
Median Absolute Deviation (MAD)3.0996979 × 1010
Skewness-0.0092703977
Sum2.4285538 × 1016
Variance1.8006563 × 1021
MonotonicityNot monotonic
2024-04-21T19:29:10.785363image/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%
20090209145248 1
 
0.1%
20090209150705 1
 
0.1%
20090209150435 1
 
0.1%
20090209150211 1
 
0.1%
20090209145755 1
 
0.1%
Other values (1169) 1169
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 (%)
20221026153302 1
0.1%
20221024133121 1
0.1%
20221019153911 1
0.1%
20221019151404 1
0.1%
20221012165854 1
0.1%
20221007180102 1
0.1%
20220929174903 1
0.1%
20220928103228 1
0.1%
20220927142621 1
0.1%
20220922172058 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
I
919 
U
286 

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
76.3%
U 286
 
23.7%

Length

2024-04-21T19:29:11.209646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:11.519803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 919
76.3%
u 286
 
23.7%

데이터갱신일자
Date

Distinct333
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-28 02:40:00
2024-04-21T19:29:11.848760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:29:12.488343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1205
Missing (%)100.0%
Memory size10.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct960
Distinct (%)85.5%
Missing82
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean388069.46
Minimum367108.19
Maximum403236.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:12.899579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367108.19
5-th percentile379700.29
Q1384874.52
median388506.31
Q3391225.62
95-th percentile397398.26
Maximum403236.19
Range36128.006
Interquartile range (IQR)6351.1013

Descriptive statistics

Standard deviation5255.8751
Coefficient of variation (CV)0.013543645
Kurtosis0.43549904
Mean388069.46
Median Absolute Deviation (MAD)3204.622
Skewness-0.020643758
Sum4.35802 × 108
Variance27624223
MonotonicityNot monotonic
2024-04-21T19:29:13.347879image/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 (950) 1072
89.0%
(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 

Distinct961
Distinct (%)85.6%
Missing82
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean187355.91
Minimum174016.55
Maximum206377.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:13.758561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174016.55
5-th percentile178730.66
Q1183573.17
median187085.54
Q3191858.21
95-th percentile196235.82
Maximum206377.97
Range32361.42
Interquartile range (IQR)8285.037

Descriptive statistics

Standard deviation5848.9244
Coefficient of variation (CV)0.031218253
Kurtosis-0.13378913
Mean187355.91
Median Absolute Deviation (MAD)4370.4504
Skewness0.19138394
Sum2.1040069 × 108
Variance34209917
MonotonicityNot monotonic
2024-04-21T19:29:14.186895image/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 (951) 1072
89.0%
(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
995 
0
170 
2
 
34
<NA>
 
4
3
 
2

Length

Max length4
Median length1
Mean length1.0099585
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 995
82.6%
0 170
 
14.1%
2 34
 
2.8%
<NA> 4
 
0.3%
3 2
 
0.2%

Length

2024-04-21T19:29:14.623229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:14.966633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 995
82.6%
0 170
 
14.1%
2 34
 
2.8%
na 4
 
0.3%
3 2
 
0.2%

표본렌즈수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
904 
0
230 
2
 
33
<NA>
 
31
3
 
6

Length

Max length4
Median length1
Mean length1.0788382
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 904
75.0%
0 230
 
19.1%
2 33
 
2.7%
<NA> 31
 
2.6%
3 6
 
0.5%
266 1
 
0.1%

Length

2024-04-21T19:29:15.352802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:15.696160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 904
75.0%
0 230
 
19.1%
2 33
 
2.7%
na 31
 
2.6%
3 6
 
0.5%
266 1
 
0.1%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.6%
Missing39
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.86535163
Minimum0
Maximum11
Zeros231
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:16.019922image/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 deviation0.59458227
Coefficient of variation (CV)0.68709903
Kurtosis75.798848
Mean0.86535163
Median Absolute Deviation (MAD)0
Skewness4.7377605
Sum1009
Variance0.35352807
MonotonicityNot monotonic
2024-04-21T19:29:16.357745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 883
73.3%
0 231
 
19.2%
2 43
 
3.6%
3 4
 
0.3%
4 3
 
0.2%
5 1
 
0.1%
11 1
 
0.1%
(Missing) 39
 
3.2%
ValueCountFrequency (%)
0 231
 
19.2%
1 883
73.3%
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
73.3%
0 231
 
19.2%

동공거리측정기수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.6%
Missing4
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.93005828
Minimum0
Maximum10
Zeros172
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:16.695056image/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 deviation0.59310264
Coefficient of variation (CV)0.63770481
Kurtosis56.156978
Mean0.93005828
Median Absolute Deviation (MAD)0
Skewness4.6049194
Sum1117
Variance0.35177075
MonotonicityNot monotonic
2024-04-21T19:29:17.043630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 979
81.2%
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) 4
 
0.3%
ValueCountFrequency (%)
0 172
 
14.3%
1 979
81.2%
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%
1 979
81.2%
0 172
 
14.3%

정점굴절계기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
880 
0
170 
2
112 
3
 
31
4
 
6

Length

Max length4
Median length1
Mean length1.0149378
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 880
73.0%
0 170
 
14.1%
2 112
 
9.3%
3 31
 
2.6%
4 6
 
0.5%
<NA> 6
 
0.5%

Length

2024-04-21T19:29:17.444400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:17.787666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 880
73.0%
0 170
 
14.1%
2 112
 
9.3%
3 31
 
2.6%
4 6
 
0.5%
na 6
 
0.5%

조제용연마기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
1
901 
0
234 
<NA>
 
42
2
 
27
3
 
1

Length

Max length4
Median length1
Mean length1.1045643
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 901
74.8%
0 234
 
19.4%
<NA> 42
 
3.5%
2 27
 
2.2%
3 1
 
0.1%

Length

2024-04-21T19:29:18.096003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:18.288060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 901
74.8%
0 234
 
19.4%
na 42
 
3.5%
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
234 
<NA>
 
41
2
 
19
3
 
1

Length

Max length4
Median length1
Mean length1.1020747
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 910
75.5%
0 234
 
19.4%
<NA> 41
 
3.4%
2 19
 
1.6%
3 1
 
0.1%

Length

2024-04-21T19:29:18.495139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:29:18.686994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 910
75.5%
0 234
 
19.4%
na 41
 
3.4%
2 19
 
1.6%
3 1
 
0.1%

가열기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing42
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean0.91143594
Minimum0
Maximum5
Zeros233
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:18.855974image/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 deviation0.58809028
Coefficient of variation (CV)0.6452349
Kurtosis5.1194669
Mean0.91143594
Median Absolute Deviation (MAD)0
Skewness0.85864546
Sum1060
Variance0.34585017
MonotonicityNot monotonic
2024-04-21T19:29:19.034601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 817
67.8%
0 233
 
19.3%
2 101
 
8.4%
3 9
 
0.7%
5 2
 
0.2%
4 1
 
0.1%
(Missing) 42
 
3.5%
ValueCountFrequency (%)
0 233
 
19.3%
1 817
67.8%
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
67.8%
0 233
 
19.3%

안경세척기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing41
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.94415808
Minimum0
Maximum5
Zeros232
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:19.211899image/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 deviation0.62711056
Coefficient of variation (CV)0.66420081
Kurtosis3.2325445
Mean0.94415808
Median Absolute Deviation (MAD)0
Skewness0.81662729
Sum1099
Variance0.39326765
MonotonicityNot monotonic
2024-04-21T19:29:19.390603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 791
65.6%
0 232
 
19.3%
2 119
 
9.9%
3 19
 
1.6%
4 2
 
0.2%
5 1
 
0.1%
(Missing) 41
 
3.4%
ValueCountFrequency (%)
0 232
 
19.3%
1 791
65.6%
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
65.6%
0 232
 
19.3%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct526
Distinct (%)72.7%
Missing481
Missing (%)39.9%
Infinite0
Infinite (%)0.0%
Mean75.334738
Minimum0
Maximum723.02
Zeros91
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-04-21T19:29:19.606397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131.845
median59.2
Q399
95-th percentile210
Maximum723.02
Range723.02
Interquartile range (IQR)67.155

Descriptive statistics

Standard deviation72.208286
Coefficient of variation (CV)0.9584992
Kurtosis17.426252
Mean75.334738
Median Absolute Deviation (MAD)32.425
Skewness2.9159175
Sum54542.35
Variance5214.0366
MonotonicityNot monotonic
2024-04-21T19:29:19.856978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 91
 
7.6%
33.0 10
 
0.8%
66.0 5
 
0.4%
60.0 5
 
0.4%
49.5 5
 
0.4%
56.0 4
 
0.3%
46.2 4
 
0.3%
99.0 4
 
0.3%
105.0 4
 
0.3%
57.6 4
 
0.3%
Other values (516) 588
48.8%
(Missing) 481
39.9%
ValueCountFrequency (%)
0.0 91
7.6%
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%
9.7 1
 
0.1%
10.23 1
 
0.1%
11.22 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 

Missing1205
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
11951196안경업01_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>
11961197안경업01_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>
11971198안경업01_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>
11981199안경업01_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>
11991200안경업01_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>
12001201안경업01_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>
12011202안경업01_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>
12021203안경업01_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>
12031204안경업01_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>
12041205안경업01_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>