Overview

Dataset statistics

Number of variables38
Number of observations818
Missing cells5937
Missing cells (%)19.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory264.5 KiB
Average record size in memory331.2 B

Variable types

Numeric14
Categorical13
Text5
Unsupported5
DateTime1

Dataset

Description6270000_대구광역시_01_02_01_P_안경업_3월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084747&dataSetDetailId=DDI_0000084796&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
휴업종료일자 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 818 (100.0%) missing valuesMissing
폐업일자 has 568 (69.4%) missing valuesMissing
휴업시작일자 has 818 (100.0%) missing valuesMissing
재개업일자 has 818 (100.0%) missing valuesMissing
소재지전화 has 178 (21.8%) missing valuesMissing
소재지면적 has 818 (100.0%) missing valuesMissing
소재지우편번호 has 295 (36.1%) missing valuesMissing
소재지전체주소 has 18 (2.2%) missing valuesMissing
도로명전체주소 has 36 (4.4%) missing valuesMissing
도로명우편번호 has 123 (15.0%) missing valuesMissing
업태구분명 has 818 (100.0%) missing valuesMissing
좌표정보(X) has 35 (4.3%) missing valuesMissing
좌표정보(Y) has 35 (4.3%) missing valuesMissing
표본렌즈수 has 24 (2.9%) missing valuesMissing
측정의자수 has 25 (3.1%) missing valuesMissing
동공거리측정기수 has 25 (3.1%) missing valuesMissing
정점굴절계기수 has 23 (2.8%) missing valuesMissing
총면적 has 460 (56.2%) missing valuesMissing
표본렌즈수 is highly skewed (γ1 = 27.99142938)Skewed
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
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
표본렌즈수 has 273 (33.4%) zerosZeros
측정의자수 has 273 (33.4%) zerosZeros
동공거리측정기수 has 273 (33.4%) zerosZeros
정점굴절계기수 has 273 (33.4%) zerosZeros

Reproduction

Analysis started2024-04-21 18:39:44.002890
Analysis finished2024-04-21 18:39:45.266921
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct818
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.5
Minimum1
Maximum818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:39:45.461745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.85
Q1205.25
median409.5
Q3613.75
95-th percentile777.15
Maximum818
Range817
Interquartile range (IQR)408.5

Descriptive statistics

Standard deviation236.28055
Coefficient of variation (CV)0.57699769
Kurtosis-1.2
Mean409.5
Median Absolute Deviation (MAD)204.5
Skewness0
Sum334971
Variance55828.5
MonotonicityStrictly increasing
2024-04-22T03:39:45.923247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
551 1
 
0.1%
541 1
 
0.1%
542 1
 
0.1%
543 1
 
0.1%
544 1
 
0.1%
545 1
 
0.1%
546 1
 
0.1%
547 1
 
0.1%
548 1
 
0.1%
Other values (808) 808
98.8%
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 (%)
818 1
0.1%
817 1
0.1%
816 1
0.1%
815 1
0.1%
814 1
0.1%
813 1
0.1%
812 1
0.1%
811 1
0.1%
810 1
0.1%
809 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
안경업
818 

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 818
100.0%

Length

2024-04-22T03:39:46.341640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:39:46.645176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 818
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
01_02_01_P
818 

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 818
100.0%

Length

2024-04-22T03:39:46.956995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:39:47.263559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 818
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445892.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:39:47.543098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation22532.407
Coefficient of variation (CV)0.0065389176
Kurtosis-1.2336998
Mean3445892.4
Median Absolute Deviation (MAD)20000
Skewness-0.2513907
Sum2.81874 × 109
Variance5.0770934 × 108
MonotonicityIncreasing
2024-04-22T03:39:47.913138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 146
17.8%
3450000 143
17.5%
3460000 131
16.0%
3410000 111
13.6%
3420000 102
12.5%
3430000 68
8.3%
3480000 61
7.5%
3440000 56
 
6.8%
ValueCountFrequency (%)
3410000 111
13.6%
3420000 102
12.5%
3430000 68
8.3%
3440000 56
 
6.8%
3450000 143
17.5%
3460000 131
16.0%
3470000 146
17.8%
3480000 61
7.5%
ValueCountFrequency (%)
3480000 61
7.5%
3470000 146
17.8%
3460000 131
16.0%
3450000 143
17.5%
3440000 56
 
6.8%
3430000 68
8.3%
3420000 102
12.5%
3410000 111
13.6%

관리번호
Text

UNIQUE 

Distinct818
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2024-04-22T03:39:48.649857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters20450
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

Unique818 ?
Unique (%)100.0%

Sample

1st rowPHMB220013410023082200002
2nd rowPHMB220013410023082200001
3rd rowPHMB219993410023082200001
4th rowPHMB220183410023082200001
5th rowPHMB220173410023082200001
ValueCountFrequency (%)
phmb220013410023082200002 1
 
0.1%
phmb220123460023082200007 1
 
0.1%
phmb220133460023082200003 1
 
0.1%
phmb220073460023082200003 1
 
0.1%
phmb220123460023082200009 1
 
0.1%
phmb220133460023082200002 1
 
0.1%
phmb220133460023082200001 1
 
0.1%
phmb220103460023082200002 1
 
0.1%
phmb220123460023082200008 1
 
0.1%
phmb220123460023082200005 1
 
0.1%
Other values (808) 808
98.8%
2024-04-22T03:39:49.748662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6702
32.8%
2 4463
21.8%
3 1426
 
7.0%
4 1099
 
5.4%
1 1085
 
5.3%
8 1040
 
5.1%
P 818
 
4.0%
H 818
 
4.0%
M 818
 
4.0%
B 818
 
4.0%
Other values (4) 1363
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17178
84.0%
Uppercase Letter 3272
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6702
39.0%
2 4463
26.0%
3 1426
 
8.3%
4 1099
 
6.4%
1 1085
 
6.3%
8 1040
 
6.1%
9 538
 
3.1%
5 290
 
1.7%
6 272
 
1.6%
7 263
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 818
25.0%
H 818
25.0%
M 818
25.0%
B 818
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17178
84.0%
Latin 3272
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6702
39.0%
2 4463
26.0%
3 1426
 
8.3%
4 1099
 
6.4%
1 1085
 
6.3%
8 1040
 
6.1%
9 538
 
3.1%
5 290
 
1.7%
6 272
 
1.6%
7 263
 
1.5%
Latin
ValueCountFrequency (%)
P 818
25.0%
H 818
25.0%
M 818
25.0%
B 818
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6702
32.8%
2 4463
21.8%
3 1426
 
7.0%
4 1099
 
5.4%
1 1085
 
5.3%
8 1040
 
5.1%
P 818
 
4.0%
H 818
 
4.0%
M 818
 
4.0%
B 818
 
4.0%
Other values (4) 1363
 
6.7%

인허가일자
Real number (ℝ)

Distinct757
Distinct (%)92.8%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean20052068
Minimum19700812
Maximum20200325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:39:50.179073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700812
5-th percentile19877954
Q119990913
median20070168
Q320120627
95-th percentile20180431
Maximum20200325
Range499513
Interquartile range (IQR)129714

Descriptive statistics

Standard deviation91789.344
Coefficient of variation (CV)0.0045775501
Kurtosis0.039622964
Mean20052068
Median Absolute Deviation (MAD)60553
Skewness-0.65874885
Sum1.6362487 × 1010
Variance8.4252836 × 109
MonotonicityNot monotonic
2024-04-22T03:39:50.857400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19901126 6
 
0.7%
20140728 3
 
0.4%
20021119 3
 
0.4%
20110408 3
 
0.4%
20120627 3
 
0.4%
20161212 3
 
0.4%
19980123 2
 
0.2%
20110131 2
 
0.2%
20010710 2
 
0.2%
20040310 2
 
0.2%
Other values (747) 787
96.2%
ValueCountFrequency (%)
19700812 1
0.1%
19750419 1
0.1%
19760712 1
0.1%
19790816 1
0.1%
19790922 2
0.2%
19801028 1
0.1%
19810414 1
0.1%
19810701 2
0.2%
19810813 2
0.2%
19820831 1
0.1%
ValueCountFrequency (%)
20200325 1
0.1%
20200221 1
0.1%
20200220 1
0.1%
20191230 1
0.1%
20191224 1
0.1%
20191115 1
0.1%
20191021 1
0.1%
20190809 1
0.1%
20190801 1
0.1%
20190709 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing818
Missing (%)100.0%
Memory size7.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
580 
3
232 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 580
70.9%
3 232
 
28.4%
4 6
 
0.7%

Length

2024-04-22T03:39:51.260663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:39:51.574573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 580
70.9%
3 232
 
28.4%
4 6
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
영업/정상
580 
폐업
232 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.2151589
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 580
70.9%
폐업 232
 
28.4%
취소/말소/만료/정지/중지 6
 
0.7%

Length

2024-04-22T03:39:51.939324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:39:52.268508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 580
70.9%
폐업 232
 
28.4%
취소/말소/만료/정지/중지 6
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
13
580 
3
232 
24
 
6

Length

Max length2
Median length2
Mean length1.7163814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 580
70.9%
3 232
 
28.4%
24 6
 
0.7%

Length

2024-04-22T03:39:52.640768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:39:52.970694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 580
70.9%
3 232
 
28.4%
24 6
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
영업중
580 
폐업
232 
직권폐업
 
6

Length

Max length4
Median length3
Mean length2.7237164
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 580
70.9%
폐업 232
 
28.4%
직권폐업 6
 
0.7%

Length

2024-04-22T03:39:53.365835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:39:53.722137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 580
70.9%
폐업 232
 
28.4%
직권폐업 6
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)92.4%
Missing568
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean20127113
Minimum19950520
Maximum20200323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:39:54.092817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950520
5-th percentile20060680
Q120100303
median20121229
Q320161008
95-th percentile20190725
Maximum20200323
Range249803
Interquartile range (IQR)60705

Descriptive statistics

Standard deviation45716.721
Coefficient of variation (CV)0.0022713998
Kurtosis1.4561984
Mean20127113
Median Absolute Deviation (MAD)30108.5
Skewness-0.74532141
Sum5.0317782 × 109
Variance2.0900186 × 109
MonotonicityNot monotonic
2024-04-22T03:39:54.552836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091231 4
 
0.5%
20190213 3
 
0.4%
20190227 2
 
0.2%
20180124 2
 
0.2%
20090622 2
 
0.2%
20090915 2
 
0.2%
20180430 2
 
0.2%
20101018 2
 
0.2%
20110607 2
 
0.2%
20090312 2
 
0.2%
Other values (221) 227
 
27.8%
(Missing) 568
69.4%
ValueCountFrequency (%)
19950520 1
0.1%
19961121 1
0.1%
19970415 1
0.1%
19980720 1
0.1%
19981223 1
0.1%
20001123 1
0.1%
20030327 1
0.1%
20031121 1
0.1%
20040820 1
0.1%
20041029 1
0.1%
ValueCountFrequency (%)
20200323 1
0.1%
20200211 1
0.1%
20200206 1
0.1%
20200122 1
0.1%
20200120 1
0.1%
20200117 1
0.1%
20200109 1
0.1%
20191231 1
0.1%
20191126 1
0.1%
20191122 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing818
Missing (%)100.0%
Memory size7.3 KiB

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
799 
99991231
 
19

Length

Max length8
Median length4
Mean length4.0929095
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 799
97.7%
99991231 19
 
2.3%

Length

2024-04-22T03:39:54.999791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:39:55.339658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 799
97.7%
99991231 19
 
2.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing818
Missing (%)100.0%
Memory size7.3 KiB

소재지전화
Text

MISSING 

Distinct619
Distinct (%)96.7%
Missing178
Missing (%)21.8%
Memory size6.5 KiB
2024-04-22T03:39:56.313531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.167188
Min length7

Characters and Unicode

Total characters6507
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique598 ?
Unique (%)93.4%

Sample

1st row428-0011
2nd row421-0075
3rd row427-0033
4th row053-253-1285
5th row248-4552
ValueCountFrequency (%)
622-9403 2
 
0.3%
053-631-4543 2
 
0.3%
313-2800 2
 
0.3%
423-4232 2
 
0.3%
053-955-7525 2
 
0.3%
053-745-8121 2
 
0.3%
053-611-8981 2
 
0.3%
053-743-2002 2
 
0.3%
253-2405 2
 
0.3%
423-2088 2
 
0.3%
Other values (609) 620
96.9%
2024-04-22T03:39:57.755732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1016
15.6%
- 914
14.0%
3 827
12.7%
0 770
11.8%
2 544
8.4%
6 479
7.4%
1 446
6.9%
4 400
 
6.1%
7 383
 
5.9%
8 348
 
5.3%
Other values (3) 380
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5543
85.2%
Dash Punctuation 914
 
14.0%
Close Punctuation 49
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1016
18.3%
3 827
14.9%
0 770
13.9%
2 544
9.8%
6 479
8.6%
1 446
8.0%
4 400
 
7.2%
7 383
 
6.9%
8 348
 
6.3%
9 330
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 914
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6507
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1016
15.6%
- 914
14.0%
3 827
12.7%
0 770
11.8%
2 544
8.4%
6 479
7.4%
1 446
6.9%
4 400
 
6.1%
7 383
 
5.9%
8 348
 
5.3%
Other values (3) 380
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1016
15.6%
- 914
14.0%
3 827
12.7%
0 770
11.8%
2 544
8.4%
6 479
7.4%
1 446
6.9%
4 400
 
6.1%
7 383
 
5.9%
8 348
 
5.3%
Other values (3) 380
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing818
Missing (%)100.0%
Memory size7.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct271
Distinct (%)51.8%
Missing295
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean704297.41
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:39:58.163035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700160
Q1702062
median703851
Q3705832
95-th percentile711813
Maximum711891
Range11881
Interquartile range (IQR)3770

Descriptive statistics

Standard deviation2959.3921
Coefficient of variation (CV)0.0042019068
Kurtosis0.85442417
Mean704297.41
Median Absolute Deviation (MAD)1809
Skewness1.0006308
Sum3.6834755 × 108
Variance8758001.5
MonotonicityNot monotonic
2024-04-22T03:39:58.606695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700411 14
 
1.7%
702250 10
 
1.2%
702260 8
 
1.0%
702261 7
 
0.9%
702013 7
 
0.9%
704808 6
 
0.7%
704834 6
 
0.7%
704928 6
 
0.7%
700150 6
 
0.7%
706170 6
 
0.7%
Other values (261) 447
54.6%
(Missing) 295
36.1%
ValueCountFrequency (%)
700010 1
 
0.1%
700040 1
 
0.1%
700060 1
 
0.1%
700070 4
0.5%
700082 2
 
0.2%
700092 5
0.6%
700093 5
0.6%
700150 6
0.7%
700160 3
0.4%
700200 1
 
0.1%
ValueCountFrequency (%)
711891 1
 
0.1%
711874 2
0.2%
711873 1
 
0.1%
711872 1
 
0.1%
711870 1
 
0.1%
711865 1
 
0.1%
711854 3
0.4%
711853 1
 
0.1%
711850 1
 
0.1%
711838 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct766
Distinct (%)95.8%
Missing18
Missing (%)2.2%
Memory size6.5 KiB
2024-04-22T03:39:59.986265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length22.9875
Min length6

Characters and Unicode

Total characters18390
Distinct characters244
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

Unique738 ?
Unique (%)92.2%

Sample

1st row대구광역시 중구 포정동 16번지 (무궁화백화점105,106,122,130,134호)
2nd row대구광역시 중구 문화동 16번지 3호
3rd row대구광역시 중구 문화동 17번지 2호
4th row대구광역시 중구 남산동 3006번지 반월당효성해링턴플레이스
5th row대구광역시 중구 남일동 119번지 3호
ValueCountFrequency (%)
대구광역시 775
 
20.0%
달서구 142
 
3.7%
북구 139
 
3.6%
수성구 127
 
3.3%
동구 101
 
2.6%
1호 96
 
2.5%
중구 84
 
2.2%
서구 68
 
1.8%
달성군 59
 
1.5%
남구 55
 
1.4%
Other values (1039) 2231
57.5%
2024-04-22T03:40:01.870035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3098
16.8%
구 1507
 
8.2%
1 1083
 
5.9%
동 894
 
4.9%
대 867
 
4.7%
시 784
 
4.3%
역 780
 
4.2%
광 779
 
4.2%
지 646
 
3.5%
번 607
 
3.3%
Other values (234) 7345
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10892
59.2%
Decimal Number 4123
 
22.4%
Space Separator 3098
 
16.8%
Dash Punctuation 166
 
0.9%
Other Punctuation 36
 
0.2%
Close Punctuation 29
 
0.2%
Open Punctuation 29
 
0.2%
Uppercase Letter 13
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1507
13.8%
동 894
 
8.2%
대 867
 
8.0%
시 784
 
7.2%
역 780
 
7.2%
광 779
 
7.2%
지 646
 
5.9%
번 607
 
5.6%
호 549
 
5.0%
성 266
 
2.4%
Other values (208) 3213
29.5%
Decimal Number
ValueCountFrequency (%)
1 1083
26.3%
2 544
13.2%
3 437
10.6%
0 369
 
8.9%
4 358
 
8.7%
5 336
 
8.1%
6 266
 
6.5%
7 258
 
6.3%
8 243
 
5.9%
9 229
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 5
38.5%
B 3
23.1%
A 2
 
15.4%
F 1
 
7.7%
D 1
 
7.7%
E 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 24
66.7%
. 6
 
16.7%
/ 6
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
3098
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10892
59.2%
Common 7482
40.7%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1507
13.8%
동 894
 
8.2%
대 867
 
8.0%
시 784
 
7.2%
역 780
 
7.2%
광 779
 
7.2%
지 646
 
5.9%
번 607
 
5.6%
호 549
 
5.0%
성 266
 
2.4%
Other values (208) 3213
29.5%
Common
ValueCountFrequency (%)
3098
41.4%
1 1083
 
14.5%
2 544
 
7.3%
3 437
 
5.8%
0 369
 
4.9%
4 358
 
4.8%
5 336
 
4.5%
6 266
 
3.6%
7 258
 
3.4%
8 243
 
3.2%
Other values (8) 490
 
6.5%
Latin
ValueCountFrequency (%)
C 5
31.2%
B 3
18.8%
A 2
 
12.5%
c 2
 
12.5%
F 1
 
6.2%
D 1
 
6.2%
e 1
 
6.2%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10892
59.2%
ASCII 7498
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3098
41.3%
1 1083
 
14.4%
2 544
 
7.3%
3 437
 
5.8%
0 369
 
4.9%
4 358
 
4.8%
5 336
 
4.5%
6 266
 
3.5%
7 258
 
3.4%
8 243
 
3.2%
Other values (16) 506
 
6.7%
Hangul
ValueCountFrequency (%)
구 1507
13.8%
동 894
 
8.2%
대 867
 
8.0%
시 784
 
7.2%
역 780
 
7.2%
광 779
 
7.2%
지 646
 
5.9%
번 607
 
5.6%
호 549
 
5.0%
성 266
 
2.4%
Other values (208) 3213
29.5%

도로명전체주소
Text

MISSING 

Distinct743
Distinct (%)95.0%
Missing36
Missing (%)4.4%
Memory size6.5 KiB
2024-04-22T03:40:03.309291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length26.598465
Min length15

Characters and Unicode

Total characters20800
Distinct characters284
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

Unique708 ?
Unique (%)90.5%

Sample

1st row대구광역시 중구 경상감영길 111 (포정동, (무궁화백화점105,106,122,130,134호))
2nd row대구광역시 중구 국채보상로 603 (문화동)
3rd row대구광역시 중구 국채보상로 604 (문화동)
4th row대구광역시 중구 중앙대로66길 20, 상가동 1층 (남산동, 반월당효성해링턴플레이스)
5th row대구광역시 중구 중앙대로 405, 2층 (남일동)
ValueCountFrequency (%)
대구광역시 782
 
18.1%
달서구 144
 
3.3%
북구 140
 
3.2%
수성구 128
 
3.0%
동구 101
 
2.3%
중구 94
 
2.2%
1층 86
 
2.0%
달구벌대로 79
 
1.8%
서구 67
 
1.5%
달성군 59
 
1.4%
Other values (991) 2644
61.1%
2024-04-22T03:40:05.256004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3542
 
17.0%
구 1641
 
7.9%
대 1077
 
5.2%
동 1020
 
4.9%
로 803
 
3.9%
역 797
 
3.8%
시 794
 
3.8%
광 786
 
3.8%
( 732
 
3.5%
) 732
 
3.5%
Other values (274) 8876
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12390
59.6%
Space Separator 3542
 
17.0%
Decimal Number 2983
 
14.3%
Open Punctuation 732
 
3.5%
Close Punctuation 732
 
3.5%
Other Punctuation 317
 
1.5%
Dash Punctuation 79
 
0.4%
Uppercase Letter 21
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1641
 
13.2%
대 1077
 
8.7%
동 1020
 
8.2%
로 803
 
6.5%
역 797
 
6.4%
시 794
 
6.4%
광 786
 
6.3%
성 344
 
2.8%
달 309
 
2.5%
서 263
 
2.1%
Other values (245) 4556
36.8%
Decimal Number
ValueCountFrequency (%)
1 720
24.1%
2 448
15.0%
3 308
10.3%
0 305
10.2%
4 222
 
7.4%
5 219
 
7.3%
6 212
 
7.1%
8 188
 
6.3%
7 188
 
6.3%
9 173
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 4
19.0%
A 4
19.0%
K 3
14.3%
B 3
14.3%
S 2
9.5%
E 2
9.5%
F 1
 
4.8%
D 1
 
4.8%
Y 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 313
98.7%
/ 2
 
0.6%
. 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
3542
100.0%
Open Punctuation
ValueCountFrequency (%)
( 732
100.0%
Close Punctuation
ValueCountFrequency (%)
) 732
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12390
59.6%
Common 8386
40.3%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1641
 
13.2%
대 1077
 
8.7%
동 1020
 
8.2%
로 803
 
6.5%
역 797
 
6.4%
시 794
 
6.4%
광 786
 
6.3%
성 344
 
2.8%
달 309
 
2.5%
서 263
 
2.1%
Other values (245) 4556
36.8%
Common
ValueCountFrequency (%)
3542
42.2%
( 732
 
8.7%
) 732
 
8.7%
1 720
 
8.6%
2 448
 
5.3%
, 313
 
3.7%
3 308
 
3.7%
0 305
 
3.6%
4 222
 
2.6%
5 219
 
2.6%
Other values (8) 845
 
10.1%
Latin
ValueCountFrequency (%)
C 4
16.7%
A 4
16.7%
K 3
12.5%
B 3
12.5%
S 2
8.3%
E 2
8.3%
c 2
8.3%
e 1
 
4.2%
F 1
 
4.2%
D 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12390
59.6%
ASCII 8410
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3542
42.1%
( 732
 
8.7%
) 732
 
8.7%
1 720
 
8.6%
2 448
 
5.3%
, 313
 
3.7%
3 308
 
3.7%
0 305
 
3.6%
4 222
 
2.6%
5 219
 
2.6%
Other values (19) 869
 
10.3%
Hangul
ValueCountFrequency (%)
구 1641
 
13.2%
대 1077
 
8.7%
동 1020
 
8.2%
로 803
 
6.5%
역 797
 
6.4%
시 794
 
6.4%
광 786
 
6.3%
성 344
 
2.8%
달 309
 
2.5%
서 263
 
2.1%
Other values (245) 4556
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct432
Distinct (%)62.2%
Missing123
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean121205.16
Minimum41002
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:05.651587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41144.7
Q141558.5
median42085
Q342737
95-th percentile704910
Maximum711873
Range670871
Interquartile range (IQR)1178.5

Descriptive statistics

Standard deviation215229.47
Coefficient of variation (CV)1.7757451
Kurtosis3.5442215
Mean121205.16
Median Absolute Deviation (MAD)561
Skewness2.3523669
Sum84237587
Variance4.6323725 × 1010
MonotonicityNot monotonic
2024-04-22T03:40:06.086340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 13
 
1.6%
41941 10
 
1.2%
42760 9
 
1.1%
41938 7
 
0.9%
41544 7
 
0.9%
41942 6
 
0.7%
41026 6
 
0.7%
41957 6
 
0.7%
41535 5
 
0.6%
41268 5
 
0.6%
Other values (422) 621
75.9%
(Missing) 123
 
15.0%
ValueCountFrequency (%)
41002 1
 
0.1%
41005 1
 
0.1%
41026 6
0.7%
41033 1
 
0.1%
41034 1
 
0.1%
41036 1
 
0.1%
41049 1
 
0.1%
41050 1
 
0.1%
41052 1
 
0.1%
41069 1
 
0.1%
ValueCountFrequency (%)
711873 1
0.1%
711872 1
0.1%
711865 1
0.1%
711854 1
0.1%
711853 1
0.1%
711838 1
0.1%
711837 1
0.1%
711836 1
0.1%
711815 1
0.1%
711813 1
0.1%

사업장명
Text

Distinct742
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2024-04-22T03:40:07.064155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.2775061
Min length1

Characters and Unicode

Total characters5953
Distinct characters379
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique682 ?
Unique (%)83.4%

Sample

1st row아이캐슬
2nd row아인아이콘택트안경
3rd row씨채널한일로점안경원
4th row달선생안경
5th row으뜸플러스안경
ValueCountFrequency (%)
안경원 31
 
3.2%
안경 11
 
1.1%
아이젠트리 10
 
1.0%
안경명가 10
 
1.0%
안경매니져 7
 
0.7%
으뜸50안경 6
 
0.6%
안경콘택트 6
 
0.6%
무극안경콘택트 5
 
0.5%
오렌즈 5
 
0.5%
상인점 5
 
0.5%
Other values (760) 881
90.2%
2024-04-22T03:40:08.494699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 711
 
11.9%
경 707
 
11.9%
원 337
 
5.7%
점 218
 
3.7%
이 203
 
3.4%
트 201
 
3.4%
아 185
 
3.1%
159
 
2.7%
콘 148
 
2.5%
스 136
 
2.3%
Other values (369) 2948
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5518
92.7%
Space Separator 159
 
2.7%
Decimal Number 85
 
1.4%
Uppercase Letter 52
 
0.9%
Close Punctuation 43
 
0.7%
Open Punctuation 43
 
0.7%
Lowercase Letter 32
 
0.5%
Other Punctuation 18
 
0.3%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 711
 
12.9%
경 707
 
12.8%
원 337
 
6.1%
점 218
 
4.0%
이 203
 
3.7%
트 201
 
3.6%
아 185
 
3.4%
콘 148
 
2.7%
스 136
 
2.5%
택 119
 
2.2%
Other values (326) 2553
46.3%
Uppercase Letter
ValueCountFrequency (%)
O 14
26.9%
K 13
25.0%
L 5
 
9.6%
T 4
 
7.7%
S 4
 
7.7%
E 3
 
5.8%
P 2
 
3.8%
A 2
 
3.8%
D 1
 
1.9%
J 1
 
1.9%
Other values (3) 3
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
28.1%
o 6
18.8%
s 5
15.6%
l 2
 
6.2%
p 2
 
6.2%
k 2
 
6.2%
a 1
 
3.1%
g 1
 
3.1%
w 1
 
3.1%
y 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 35
41.2%
1 30
35.3%
5 7
 
8.2%
2 6
 
7.1%
3 3
 
3.5%
7 2
 
2.4%
9 1
 
1.2%
6 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 5
27.8%
· 1
 
5.6%
, 1
 
5.6%
/ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5517
92.7%
Common 351
 
5.9%
Latin 84
 
1.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 711
 
12.9%
경 707
 
12.8%
원 337
 
6.1%
점 218
 
4.0%
이 203
 
3.7%
트 201
 
3.6%
아 185
 
3.4%
콘 148
 
2.7%
스 136
 
2.5%
택 119
 
2.2%
Other values (325) 2552
46.3%
Latin
ValueCountFrequency (%)
O 14
16.7%
K 13
15.5%
e 9
10.7%
o 6
 
7.1%
s 5
 
6.0%
L 5
 
6.0%
T 4
 
4.8%
S 4
 
4.8%
E 3
 
3.6%
l 2
 
2.4%
Other values (15) 19
22.6%
Common
ValueCountFrequency (%)
159
45.3%
) 43
 
12.3%
( 43
 
12.3%
0 35
 
10.0%
1 30
 
8.5%
. 10
 
2.8%
5 7
 
2.0%
2 6
 
1.7%
& 5
 
1.4%
3 3
 
0.9%
Other values (8) 10
 
2.8%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5517
92.7%
ASCII 434
 
7.3%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 711
 
12.9%
경 707
 
12.8%
원 337
 
6.1%
점 218
 
4.0%
이 203
 
3.7%
트 201
 
3.6%
아 185
 
3.4%
콘 148
 
2.7%
스 136
 
2.5%
택 119
 
2.2%
Other values (325) 2552
46.3%
ASCII
ValueCountFrequency (%)
159
36.6%
) 43
 
9.9%
( 43
 
9.9%
0 35
 
8.1%
1 30
 
6.9%
O 14
 
3.2%
K 13
 
3.0%
. 10
 
2.3%
e 9
 
2.1%
5 7
 
1.6%
Other values (32) 71
16.4%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct792
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0142745 × 1013
Minimum2.0080925 × 1013
Maximum2.0200325 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:08.915076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080925 × 1013
5-th percentile2.0090322 × 1013
Q12.012043 × 1013
median2.0140168 × 1013
Q32.0170607 × 1013
95-th percentile2.0190909 × 1013
Maximum2.0200325 × 1013
Range1.1940016 × 1011
Interquartile range (IQR)5.0177221 × 1010

Descriptive statistics

Standard deviation3.1810032 × 1010
Coefficient of variation (CV)0.0015792303
Kurtosis-0.92809347
Mean2.0142745 × 1013
Median Absolute Deviation (MAD)2.0857052 × 1010
Skewness0.035963014
Sum1.6476765 × 1016
Variance1.0118781 × 1021
MonotonicityNot monotonic
2024-04-22T03:40:09.378910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080925000000 19
 
2.3%
20081212172445 9
 
1.1%
20120625204430 1
 
0.1%
20151118093533 1
 
0.1%
20151111112832 1
 
0.1%
20151103153812 1
 
0.1%
20131227173048 1
 
0.1%
20150903145234 1
 
0.1%
20151224110358 1
 
0.1%
20130710180627 1
 
0.1%
Other values (782) 782
95.6%
ValueCountFrequency (%)
20080925000000 19
2.3%
20081124171519 1
 
0.1%
20081125174418 1
 
0.1%
20081206100704 1
 
0.1%
20081206100705 1
 
0.1%
20081212172445 9
1.1%
20081216132850 1
 
0.1%
20090107103059 1
 
0.1%
20090209142824 1
 
0.1%
20090210165702 1
 
0.1%
ValueCountFrequency (%)
20200325163531 1
0.1%
20200324084227 1
0.1%
20200323104552 1
0.1%
20200312143813 1
0.1%
20200303160930 1
0.1%
20200225195846 1
0.1%
20200222164444 1
0.1%
20200220222358 1
0.1%
20200218175948 1
0.1%
20200214182133 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
I
722 
U
96 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 722
88.3%
U 96
 
11.7%

Length

2024-04-22T03:40:09.785522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:40:10.093573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 722
88.3%
u 96
 
11.7%

데이터갱신일자
Date

Distinct112
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
Minimum2018-08-31 23:59:59
Maximum2020-03-27 00:23:21
2024-04-22T03:40:10.431075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T03:40:10.850212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing818
Missing (%)100.0%
Memory size7.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct694
Distinct (%)88.6%
Missing35
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean342941.03
Minimum328032.2
Maximum356199.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:11.235560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328032.2
5-th percentile334373.3
Q1339805.49
median343682.77
Q3346030.97
95-th percentile350654.2
Maximum356199.41
Range28167.217
Interquartile range (IQR)6225.4866

Descriptive statistics

Standard deviation5018.9802
Coefficient of variation (CV)0.014635111
Kurtosis0.39931302
Mean342941.03
Median Absolute Deviation (MAD)3162.8923
Skewness-0.11623603
Sum2.6852283 × 108
Variance25190163
MonotonicityNot monotonic
2024-04-22T03:40:11.644430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343820.40768 6
 
0.7%
347037.24197 4
 
0.5%
348305.012649 4
 
0.5%
345383.649328 4
 
0.5%
338508.03969 3
 
0.4%
347690.434441 3
 
0.4%
340507.941598 3
 
0.4%
343588.735555 3
 
0.4%
342065.696248 3
 
0.4%
344047.164924 3
 
0.4%
Other values (684) 747
91.3%
(Missing) 35
 
4.3%
ValueCountFrequency (%)
328032.196684 1
0.1%
328330.0 1
0.1%
330155.883511 1
0.1%
330218.927904 1
0.1%
330266.315821 1
0.1%
330334.179215 1
0.1%
330431.969135 1
0.1%
330449.755127 1
0.1%
330534.621455 1
0.1%
330573.646469 1
0.1%
ValueCountFrequency (%)
356199.413439 1
0.1%
355939.362329 1
0.1%
355866.655284 1
0.1%
355857.357218 1
0.1%
355852.938233 1
0.1%
355796.64243 1
0.1%
355691.798566 1
0.1%
355167.811825 1
0.1%
355040.636628 1
0.1%
354848.22601 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct694
Distinct (%)88.6%
Missing35
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean263382.49
Minimum240451
Maximum273568.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:12.047399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240451
5-th percentile257350.36
Q1261518.54
median263784
Q3265617.67
95-th percentile270907.09
Maximum273568.29
Range33117.291
Interquartile range (IQR)4099.1229

Descriptive statistics

Standard deviation4551.5899
Coefficient of variation (CV)0.017281293
Kurtosis5.0042365
Mean263382.49
Median Absolute Deviation (MAD)2107.8932
Skewness-1.3207929
Sum2.0622849 × 108
Variance20716970
MonotonicityNot monotonic
2024-04-22T03:40:12.741050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.87607 6
 
0.7%
265407.404337 4
 
0.5%
267901.294823 4
 
0.5%
259052.290675 4
 
0.5%
263837.312984 3
 
0.4%
265385.794068 3
 
0.4%
270271.225719 3
 
0.4%
264379.268837 3
 
0.4%
264119.01075 3
 
0.4%
258456.826438 3
 
0.4%
Other values (684) 747
91.3%
(Missing) 35
 
4.3%
ValueCountFrequency (%)
240451.0 1
0.1%
240528.075046 1
0.1%
244467.090015 1
0.1%
244532.532589 1
0.1%
244601.257372 1
0.1%
244658.0 1
0.1%
244696.0 1
0.1%
244698.0 2
0.2%
244701.0 1
0.1%
244791.665793 1
0.1%
ValueCountFrequency (%)
273568.291421 1
0.1%
273108.034715 1
0.1%
272735.67566 1
0.1%
272651.408529 1
0.1%
272642.880399 1
0.1%
272624.325445 1
0.1%
272609.413405 1
0.1%
272603.503871 2
0.2%
272577.250458 1
0.1%
272576.782878 1
0.1%

시력표수
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
485 
0
273 
2
 
32
<NA>
 
24
3
 
3

Length

Max length4
Median length1
Mean length1.0880196
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 485
59.3%
0 273
33.4%
2 32
 
3.9%
<NA> 24
 
2.9%
3 3
 
0.4%
4 1
 
0.1%

Length

2024-04-22T03:40:13.166819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:40:13.510851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 485
59.3%
0 273
33.4%
2 32
 
3.9%
na 24
 
2.9%
3 3
 
0.4%
4 1
 
0.1%

표본렌즈수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.8%
Missing24
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean1.0050378
Minimum0
Maximum240
Zeros273
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:13.840609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum240
Range240
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.5110995
Coefficient of variation (CV)8.4684373
Kurtosis786.9851
Mean1.0050378
Median Absolute Deviation (MAD)0
Skewness27.991429
Sum798
Variance72.438814
MonotonicityNot monotonic
2024-04-22T03:40:14.174162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 487
59.5%
0 273
33.4%
2 29
 
3.5%
3 3
 
0.4%
4 1
 
0.1%
240 1
 
0.1%
(Missing) 24
 
2.9%
ValueCountFrequency (%)
0 273
33.4%
1 487
59.5%
2 29
 
3.5%
3 3
 
0.4%
4 1
 
0.1%
240 1
 
0.1%
ValueCountFrequency (%)
240 1
 
0.1%
4 1
 
0.1%
3 3
 
0.4%
2 29
 
3.5%
1 487
59.5%
0 273
33.4%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.8%
Missing25
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.72887768
Minimum0
Maximum12
Zeros273
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:14.496999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.71129834
Coefficient of variation (CV)0.97588163
Kurtosis79.582914
Mean0.72887768
Median Absolute Deviation (MAD)0
Skewness5.3207981
Sum578
Variance0.50594533
MonotonicityNot monotonic
2024-04-22T03:40:14.860090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 479
58.6%
0 273
33.4%
2 35
 
4.3%
3 3
 
0.4%
4 2
 
0.2%
12 1
 
0.1%
(Missing) 25
 
3.1%
ValueCountFrequency (%)
0 273
33.4%
1 479
58.6%
2 35
 
4.3%
3 3
 
0.4%
4 2
 
0.2%
12 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
4 2
 
0.2%
3 3
 
0.4%
2 35
 
4.3%
1 479
58.6%
0 273
33.4%

동공거리측정기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.8%
Missing25
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.70870113
Minimum0
Maximum10
Zeros273
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:15.210874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7209964
Coefficient of variation (CV)1.017349
Kurtosis69.775235
Mean0.70870113
Median Absolute Deviation (MAD)0
Skewness5.6482081
Sum562
Variance0.51983581
MonotonicityNot monotonic
2024-04-22T03:40:15.546495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 501
61.2%
0 273
33.4%
2 12
 
1.5%
3 4
 
0.5%
10 2
 
0.2%
5 1
 
0.1%
(Missing) 25
 
3.1%
ValueCountFrequency (%)
0 273
33.4%
1 501
61.2%
2 12
 
1.5%
3 4
 
0.5%
5 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
5 1
 
0.1%
3 4
 
0.5%
2 12
 
1.5%
1 501
61.2%
0 273
33.4%

정점굴절계기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.8%
Missing23
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.79622642
Minimum0
Maximum5
Zeros273
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:15.870629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.74016531
Coefficient of variation (CV)0.9295915
Kurtosis4.9547899
Mean0.79622642
Median Absolute Deviation (MAD)0
Skewness1.4281157
Sum633
Variance0.54784468
MonotonicityNot monotonic
2024-04-22T03:40:16.208593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 440
53.8%
0 273
33.4%
2 63
 
7.7%
3 12
 
1.5%
4 4
 
0.5%
5 3
 
0.4%
(Missing) 23
 
2.8%
ValueCountFrequency (%)
0 273
33.4%
1 440
53.8%
2 63
 
7.7%
3 12
 
1.5%
4 4
 
0.5%
5 3
 
0.4%
ValueCountFrequency (%)
5 3
 
0.4%
4 4
 
0.5%
3 12
 
1.5%
2 63
 
7.7%
1 440
53.8%
0 273
33.4%

조제용연마기수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
495 
0
274 
<NA>
 
32
2
 
17

Length

Max length4
Median length1
Mean length1.1173594
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 495
60.5%
0 274
33.5%
<NA> 32
 
3.9%
2 17
 
2.1%

Length

2024-04-22T03:40:16.593632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:40:16.927480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 495
60.5%
0 274
33.5%
na 32
 
3.9%
2 17
 
2.1%

렌즈절단기수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
498 
0
274 
<NA>
 
32
2
 
14

Length

Max length4
Median length1
Mean length1.1173594
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 498
60.9%
0 274
33.5%
<NA> 32
 
3.9%
2 14
 
1.7%

Length

2024-04-22T03:40:17.303790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:40:17.637786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 498
60.9%
0 274
33.5%
na 32
 
3.9%
2 14
 
1.7%

가열기수
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
467 
0
274 
2
 
38
<NA>
 
32
3
 
7

Length

Max length4
Median length1
Mean length1.1173594
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 467
57.1%
0 274
33.5%
2 38
 
4.6%
<NA> 32
 
3.9%
3 7
 
0.9%

Length

2024-04-22T03:40:18.014032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:40:18.352602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 467
57.1%
0 274
33.5%
2 38
 
4.6%
na 32
 
3.9%
3 7
 
0.9%

안경세척기수
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
459 
0
274 
2
51 
<NA>
 
27
3
 
5

Length

Max length4
Median length1
Mean length1.099022
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 459
56.1%
0 274
33.5%
2 51
 
6.2%
<NA> 27
 
3.3%
3 5
 
0.6%
4 2
 
0.2%

Length

2024-04-22T03:40:18.736689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:40:19.079934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 459
56.1%
0 274
33.5%
2 51
 
6.2%
na 27
 
3.3%
3 5
 
0.6%
4 2
 
0.2%

총면적
Real number (ℝ)

MISSING 

Distinct276
Distinct (%)77.1%
Missing460
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean91.705615
Minimum0
Maximum727.71
Zeros4
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-04-22T03:40:19.453286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.0935
Q144.4
median69.815
Q3114.75
95-th percentile233.3885
Maximum727.71
Range727.71
Interquartile range (IQR)70.35

Descriptive statistics

Standard deviation79.058807
Coefficient of variation (CV)0.86209342
Kurtosis16.547342
Mean91.705615
Median Absolute Deviation (MAD)30.965
Skewness3.0887649
Sum32830.61
Variance6250.295
MonotonicityNot monotonic
2024-04-22T03:40:19.895310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 5
 
0.6%
0.0 4
 
0.5%
66.0 4
 
0.5%
100.0 4
 
0.5%
44.0 4
 
0.5%
99.0 4
 
0.5%
59.0 4
 
0.5%
75.0 4
 
0.5%
30.0 4
 
0.5%
132.0 4
 
0.5%
Other values (266) 317
38.8%
(Missing) 460
56.2%
ValueCountFrequency (%)
0.0 4
0.5%
1.0 2
0.2%
6.2 1
 
0.1%
14.0 1
 
0.1%
14.8 1
 
0.1%
15.45 1
 
0.1%
16.0 1
 
0.1%
16.5 1
 
0.1%
17.08 1
 
0.1%
17.1 1
 
0.1%
ValueCountFrequency (%)
727.71 1
0.1%
591.85 1
0.1%
415.31 1
0.1%
364.0 1
0.1%
357.28 1
0.1%
336.3 1
0.1%
300.0 1
0.1%
279.14 1
0.1%
271.78 1
0.1%
270.0 2
0.2%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
01안경업01_02_01_P3410000PHMB22001341002308220000220010217<NA>1영업/정상13영업중<NA><NA><NA><NA>428-0011<NA>700010대구광역시 중구 포정동 16번지 (무궁화백화점105,106,122,130,134호)대구광역시 중구 경상감영길 111 (포정동, (무궁화백화점105,106,122,130,134호))41918아이캐슬20170913114405I2018-08-31 23:59:59.0<NA>343843.928958264721.595597000000000<NA>
12안경업01_02_01_P3410000PHMB22001341002308220000120010212<NA>1영업/정상13영업중<NA><NA><NA><NA>421-0075<NA>700160대구광역시 중구 문화동 16번지 3호대구광역시 중구 국채보상로 603 (문화동)41913아인아이콘택트안경20130222092013I2018-08-31 23:59:59.0<NA>344130.622525264584.908291000000000<NA>
23안경업01_02_01_P3410000PHMB21999341002308220000119990325<NA>1영업/정상13영업중<NA><NA><NA><NA>427-0033<NA>700160대구광역시 중구 문화동 17번지 2호대구광역시 중구 국채보상로 604 (문화동)41938씨채널한일로점안경원20130529172212I2018-08-31 23:59:59.0<NA>344129.739576264541.066663000000000<NA>
34안경업01_02_01_P3410000PHMB22018341002308220000120180110<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-1285<NA><NA>대구광역시 중구 남산동 3006번지 반월당효성해링턴플레이스대구광역시 중구 중앙대로66길 20, 상가동 1층 (남산동, 반월당효성해링턴플레이스)41961달선생안경20180110174305I2018-08-31 23:59:59.0<NA>343902.080116263530.80993911112111239.0
45안경업01_02_01_P3410000PHMB22017341002308220000120171201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 119번지 3호대구광역시 중구 중앙대로 405, 2층 (남일동)41935으뜸플러스안경20180816112749I2018-08-31 23:59:59.0<NA>343845.320307264415.633836111111111<NA>
56안경업01_02_01_P3410000PHMB22013341002308220000320130624<NA>1영업/정상13영업중<NA><NA><NA><NA>248-4552<NA>700847대구광역시 중구 동인동4가 274번지 10호대구광역시 중구 동덕로30길 85 (동인동4가)<NA>룩스안경원20200108145503U2020-01-10 02:40:00.0<NA>345196.79881264137.10983211112111187.0
67안경업01_02_01_P3410000PHMB22013341002308220000220130410<NA>1영업/정상13영업중<NA><NA><NA><NA>422-7113<NA>700411대구광역시 중구 삼덕동1가 28번지 24호대구광역시 중구 동성로3길 32 (삼덕동1가)<NA>디아이안경20130410155509I2018-08-31 23:59:59.0<NA>344228.664201264133.54698311111111141.0
78안경업01_02_01_P3410000PHMB22013341002308220000120130108<NA>1영업/정상13영업중<NA><NA><NA><NA>422-9876<NA>700092대구광역시 중구 동성로2가 41번지 8호대구광역시 중구 국채보상로 지하 580 (동성로2가)41909아이러브렌즈안경점20131218132618I2018-08-31 23:59:59.0<NA>344058.726015264583.43196711111111114.0
89안경업01_02_01_P3410000PHMB22012341002308220000620120904<NA>1영업/정상13영업중<NA><NA><NA><NA>256-3515<NA>700411대구광역시 중구 삼덕동1가 18번지 22호대구광역시 중구 동성로2길 50-20 (삼덕동1가)<NA>안경쟁이20131218132900I2018-08-31 23:59:59.0<NA>344229.073675264246.20684111111111152.0
910안경업01_02_01_P3410000PHMB22012341002308220000520120727<NA>1영업/정상13영업중<NA><NA><NA><NA>256-8553<NA>700731대구광역시 중구 동성로2가 88번지 25호대구광역시 중구 국채보상로 586 (동성로2가)41937룩스토어(대구교보점)20170526093845I2018-08-31 23:59:59.0<NA>343959.823762264529.3935611111111154.0
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
808809안경업01_02_01_P3480000PHMB22016348001208220000420160401<NA>1영업/정상13영업중<NA><NA><NA><NA>053-617-2004<NA><NA>대구광역시 달성군 유가읍 봉리 606번지대구광역시 달성군 유가읍 테크노중앙대로 254, 111호호 (하이젠스타)43018다비치안경원현풍테크노폴리스점20181016174313U2018-10-18 02:35:28.0<NA>331906.0244658.0222121122175.49
809810안경업01_02_01_P3480000PHMB22016348001208220000320160331<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-7888<NA><NA>대구광역시 달성군 유가면 봉리 608번지 1호대구광역시 달성군 유가읍 테크노상업로 98, 108호 (비슬타워)43018아이디어안경원테크노폴리스점20160331163654I2018-08-31 23:59:59.0<NA>332097.0244698.011111111178.54
810811안경업01_02_01_P3480000PHMB22016348001208220000220160307<NA>1영업/정상13영업중<NA><NA><NA><NA>053-636-1006<NA><NA>대구광역시 달성군 화원읍 구라리 1737번지 14호대구광역시 달성군 화원읍 비슬로 272742952아이젠트리안경원대구대곡점20160307150454I2018-08-31 23:59:59.0<NA>336683.494177257706.23900411111111199.0
811812안경업01_02_01_P3480000PHMB22016348001208220000120160223<NA>1영업/정상13영업중<NA><NA><NA><NA>053-631-1322<NA><NA>대구광역시 달성군 화원읍 천내리 417번지 2호대구광역시 달성군 화원읍 비슬로 258242962아이젠트리안경원20160224113245I2018-08-31 23:59:59.0<NA>335453.944009256976.14210111111111182.63
812813안경업01_02_01_P3480000PHMB22015348001208220000220151119<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-0922<NA><NA>대구광역시 달성군 논공읍 북리 803번지 190호대구광역시 달성군 논공읍 논공로 75042979아이컨셉안경원20151119142542I2018-08-31 23:59:59.0<NA>330654.943583248683.7964311111111176.03
813814안경업01_02_01_P3480000PHMB22013348001208220000120130524<NA>1영업/정상13영업중<NA><NA><NA><NA>586-0539<NA>711815대구광역시 달성군 다사읍 죽곡리 807번지 5호대구광역시 달성군 다사읍 달구벌대로 87842918글라스스토리안경원20130524154324I2018-08-31 23:59:59.0<NA>332252.319014262943.417994111111111103.74
814815안경업01_02_01_P3480000PHMB22012348001208220000220120604<NA>1영업/정상13영업중<NA><NA><NA><NA>939-9872<NA>711831대구광역시 달성군 화원읍 구라리 1717번지대구광역시 달성군 화원읍 비슬로543길 2742952홈플러스안경원20131230120247I2018-08-31 23:59:59.0<NA>336514.720192257816.04827811111111127.7
815816안경업01_02_01_P3480000PHMB22011348001208220000120111230<NA>1영업/정상13영업중<NA><NA><NA><NA>053-587-6693<NA>711813대구광역시 달성군 다사읍 서재리 115번지대구광역시 달성군 다사읍 서재로 10742923아이앤샵안경.콘택트20140407103805I2018-08-31 23:59:59.0<NA>335177.46656264687.269577111111111130.0
816817안경업01_02_01_P3480000PHMB22012348001208220000120120207<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-9978<NA>711891대구광역시 달성군 구지면 응암리 1190번지 2호대구광역시 달성군 구지면 과학마을로 2943009해비치안경원20161209115842I2018-08-31 23:59:59.0<NA>328032.196684240528.075046111111111179.33
817818안경업01_02_01_P3480000PHMB22010348001208220000120100325<NA>3폐업3폐업20120829<NA><NA><NA>053-586-3343<NA>711812대구광역시 달성군 다사읍 매곡리 1547번지 6호대구광역시 달성군 다사읍 대실역북로1길 17711812안경신화콘택트20120910102317I2018-08-31 23:59:59.0<NA>332301.445141263129.84455811112111159.5