Overview

Dataset statistics

Number of variables38
Number of observations833
Missing cells6063
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory269.4 KiB
Average record size in memory331.2 B

Variable types

Numeric14
Categorical13
Text5
Unsupported5
DateTime1

Dataset

Description6270000_대구광역시_01_02_01_P_안경업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088257&dataSetDetailId=DDI_0000088306&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
휴업종료일자 is highly imbalanced (85.0%)Imbalance
인허가취소일자 has 833 (100.0%) missing valuesMissing
폐업일자 has 572 (68.7%) missing valuesMissing
휴업시작일자 has 833 (100.0%) missing valuesMissing
재개업일자 has 833 (100.0%) missing valuesMissing
소재지전화 has 186 (22.3%) missing valuesMissing
소재지면적 has 833 (100.0%) missing valuesMissing
소재지우편번호 has 317 (38.1%) missing valuesMissing
소재지전체주소 has 18 (2.2%) missing valuesMissing
도로명전체주소 has 36 (4.3%) missing valuesMissing
도로명우편번호 has 122 (14.6%) missing valuesMissing
업태구분명 has 833 (100.0%) missing valuesMissing
좌표정보(X) has 36 (4.3%) missing valuesMissing
좌표정보(Y) has 36 (4.3%) missing valuesMissing
표본렌즈수 has 33 (4.0%) missing valuesMissing
측정의자수 has 34 (4.1%) missing valuesMissing
동공거리측정기수 has 25 (3.0%) missing valuesMissing
정점굴절계기수 has 23 (2.8%) missing valuesMissing
총면적 has 460 (55.2%) missing valuesMissing
표본렌즈수 is highly skewed (γ1 = 28.09574114)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 272 (32.7%) zerosZeros
측정의자수 has 272 (32.7%) zerosZeros
동공거리측정기수 has 272 (32.7%) zerosZeros
정점굴절계기수 has 272 (32.7%) zerosZeros

Reproduction

Analysis started2023-12-10 20:47:00.616410
Analysis finished2023-12-10 20:47:01.981931
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct833
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean417
Minimum1
Maximum833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:02.106726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.6
Q1209
median417
Q3625
95-th percentile791.4
Maximum833
Range832
Interquartile range (IQR)416

Descriptive statistics

Standard deviation240.61068
Coefficient of variation (CV)0.57700403
Kurtosis-1.2
Mean417
Median Absolute Deviation (MAD)208
Skewness0
Sum347361
Variance57893.5
MonotonicityStrictly increasing
2023-12-11T05:47:02.651034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
626 1
 
0.1%
550 1
 
0.1%
551 1
 
0.1%
552 1
 
0.1%
553 1
 
0.1%
554 1
 
0.1%
555 1
 
0.1%
556 1
 
0.1%
557 1
 
0.1%
Other values (823) 823
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 (%)
833 1
0.1%
832 1
0.1%
831 1
0.1%
830 1
0.1%
829 1
0.1%
828 1
0.1%
827 1
0.1%
826 1
0.1%
825 1
0.1%
824 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
안경업
833 

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 833
100.0%

Length

2023-12-11T05:47:02.835751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:02.982914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 833
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
01_02_01_P
833 

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 833
100.0%

Length

2023-12-11T05:47:03.124913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:03.282625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 833
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445846.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:03.438243image/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 deviation22527.449
Coefficient of variation (CV)0.0065375664
Kurtosis-1.2344398
Mean3445846.3
Median Absolute Deviation (MAD)20000
Skewness-0.24838778
Sum2.87039 × 109
Variance5.0748598 × 108
MonotonicityIncreasing
2023-12-11T05:47:03.626922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 148
17.8%
3450000 146
17.5%
3460000 133
16.0%
3410000 113
13.6%
3420000 105
12.6%
3430000 68
8.2%
3480000 62
7.4%
3440000 58
 
7.0%
ValueCountFrequency (%)
3410000 113
13.6%
3420000 105
12.6%
3430000 68
8.2%
3440000 58
 
7.0%
3450000 146
17.5%
3460000 133
16.0%
3470000 148
17.8%
3480000 62
7.4%
ValueCountFrequency (%)
3480000 62
7.4%
3470000 148
17.8%
3460000 133
16.0%
3450000 146
17.5%
3440000 58
 
7.0%
3430000 68
8.2%
3420000 105
12.6%
3410000 113
13.6%

관리번호
Text

UNIQUE 

Distinct833
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-11T05:47:03.983293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters20825
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

Unique833 ?
Unique (%)100.0%

Sample

1st rowPHMB220023410023082200003
2nd rowPHMB220013410023082200005
3rd rowPHMB220013410023082200002
4th rowPHMB220013410023082200001
5th rowPHMB219993410023082200001
ValueCountFrequency (%)
phmb220023410023082200003 1
 
0.1%
phmb220153450022082200005 1
 
0.1%
phmb220123460023082200007 1
 
0.1%
phmb220093460023082200003 1
 
0.1%
phmb220073460023082200002 1
 
0.1%
phmb220063460023082200001 1
 
0.1%
phmb220053460023082200007 1
 
0.1%
phmb220053460023082200005 1
 
0.1%
phmb220083460023082200002 1
 
0.1%
phmb220083460023082200001 1
 
0.1%
Other values (823) 823
98.8%
2023-12-11T05:47:04.724597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6838
32.8%
2 4565
21.9%
3 1451
 
7.0%
4 1121
 
5.4%
1 1092
 
5.2%
8 1055
 
5.1%
P 833
 
4.0%
H 833
 
4.0%
M 833
 
4.0%
B 833
 
4.0%
Other values (4) 1371
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17493
84.0%
Uppercase Letter 3332
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6838
39.1%
2 4565
26.1%
3 1451
 
8.3%
4 1121
 
6.4%
1 1092
 
6.2%
8 1055
 
6.0%
9 538
 
3.1%
5 294
 
1.7%
6 274
 
1.6%
7 265
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 833
25.0%
H 833
25.0%
M 833
25.0%
B 833
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17493
84.0%
Latin 3332
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6838
39.1%
2 4565
26.1%
3 1451
 
8.3%
4 1121
 
6.4%
1 1092
 
6.2%
8 1055
 
6.0%
9 538
 
3.1%
5 294
 
1.7%
6 274
 
1.6%
7 265
 
1.5%
Latin
ValueCountFrequency (%)
P 833
25.0%
H 833
25.0%
M 833
25.0%
B 833
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6838
32.8%
2 4565
21.9%
3 1451
 
7.0%
4 1121
 
5.4%
1 1092
 
5.2%
8 1055
 
5.1%
P 833
 
4.0%
H 833
 
4.0%
M 833
 
4.0%
B 833
 
4.0%
Other values (4) 1371
 
6.6%

인허가일자
Real number (ℝ)

Distinct774
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20054585
Minimum19700812
Maximum20210118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:05.199072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700812
5-th percentile19876604
Q119991105
median20070321
Q320121109
95-th percentile20181210
Maximum20210118
Range509306
Interquartile range (IQR)130004

Descriptive statistics

Standard deviation93346.485
Coefficient of variation (CV)0.0046546205
Kurtosis-0.0052404928
Mean20054585
Median Absolute Deviation (MAD)60892
Skewness-0.62623882
Sum1.670547 × 1010
Variance8.7135663 × 109
MonotonicityNot monotonic
2023-12-11T05:47:05.477782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19901126 6
 
0.7%
20021119 3
 
0.4%
20110408 3
 
0.4%
20140728 3
 
0.4%
20120627 3
 
0.4%
20030215 2
 
0.2%
20070228 2
 
0.2%
20040203 2
 
0.2%
20040310 2
 
0.2%
20090610 2
 
0.2%
Other values (764) 805
96.6%
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 (%)
20210118 1
0.1%
20201224 1
0.1%
20201217 1
0.1%
20201123 1
0.1%
20201019 1
0.1%
20200901 1
0.1%
20200828 1
0.1%
20200818 1
0.1%
20200715 1
0.1%
20200618 2
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
584 
3
243 
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 (%)
1 584
70.1%
3 243
29.2%
4 6
 
0.7%

Length

2023-12-11T05:47:05.711293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:05.885891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 584
70.1%
3 243
29.2%
4 6
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
영업/정상
584 
폐업
243 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.1896759
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 584
70.1%
폐업 243
29.2%
취소/말소/만료/정지/중지 6
 
0.7%

Length

2023-12-11T05:47:06.092280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:06.281639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 584
70.1%
폐업 243
29.2%
취소/말소/만료/정지/중지 6
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
13
584 
3
243 
24
 
6

Length

Max length2
Median length2
Mean length1.7082833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 584
70.1%
3 243
29.2%
24 6
 
0.7%

Length

2023-12-11T05:47:06.500811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:06.715473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 584
70.1%
3 243
29.2%
24 6
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
영업중
584 
폐업
243 
직권폐업
 
6

Length

Max length4
Median length3
Mean length2.7154862
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 584
70.1%
폐업 243
29.2%
직권폐업 6
 
0.7%

Length

2023-12-11T05:47:06.915931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:07.105694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 584
70.1%
폐업 243
29.2%
직권폐업 6
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)92.3%
Missing572
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean20130180
Minimum19950520
Maximum20210125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:07.301419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950520
5-th percentile20061004
Q120100419
median20130502
Q320170327
95-th percentile20200120
Maximum20210125
Range259605
Interquartile range (IQR)69908

Descriptive statistics

Standard deviation47088.137
Coefficient of variation (CV)0.0023391811
Kurtosis1.1945419
Mean20130180
Median Absolute Deviation (MAD)30712
Skewness-0.69063179
Sum5.2539771 × 109
Variance2.2172926 × 109
MonotonicityNot monotonic
2023-12-11T05:47:07.529420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091231 4
 
0.5%
20190213 3
 
0.4%
20191231 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 (231) 238
28.6%
(Missing) 572
68.7%
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 (%)
20210125 1
0.1%
20201231 1
0.1%
20201022 1
0.1%
20200915 1
0.1%
20200910 1
0.1%
20200831 1
0.1%
20200731 1
0.1%
20200430 1
0.1%
20200424 1
0.1%
20200323 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.5 KiB

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
<NA>
815 
99991231
 
18

Length

Max length8
Median length4
Mean length4.0864346
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> 815
97.8%
99991231 18
 
2.2%

Length

2023-12-11T05:47:07.755965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:07.975212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 815
97.8%
99991231 18
 
2.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.5 KiB

소재지전화
Text

MISSING 

Distinct625
Distinct (%)96.6%
Missing186
Missing (%)22.3%
Memory size6.6 KiB
2023-12-11T05:47:08.357072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.199382
Min length7

Characters and Unicode

Total characters6599
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

Unique603 ?
Unique (%)93.2%

Sample

1st row600-1518
2nd row256-7888
3rd row428-0011
4th row421-0075
5th row427-0033
ValueCountFrequency (%)
423-2088 2
 
0.3%
423-4232 2
 
0.3%
053-611-8981 2
 
0.3%
053-621-1155 2
 
0.3%
423-7355 2
 
0.3%
053-955-7525 2
 
0.3%
053-743-2002 2
 
0.3%
053-631-4543 2
 
0.3%
253-2405 2
 
0.3%
053-782-2442 2
 
0.3%
Other values (615) 627
96.9%
2023-12-11T05:47:09.053304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1030
15.6%
- 930
14.1%
3 837
12.7%
0 787
11.9%
2 548
8.3%
6 486
7.4%
1 452
6.8%
4 402
 
6.1%
7 390
 
5.9%
8 351
 
5.3%
Other values (3) 386
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5619
85.1%
Dash Punctuation 930
 
14.1%
Close Punctuation 49
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1030
18.3%
3 837
14.9%
0 787
14.0%
2 548
9.8%
6 486
8.6%
1 452
8.0%
4 402
 
7.2%
7 390
 
6.9%
8 351
 
6.2%
9 336
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 930
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6599
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1030
15.6%
- 930
14.1%
3 837
12.7%
0 787
11.9%
2 548
8.3%
6 486
7.4%
1 452
6.8%
4 402
 
6.1%
7 390
 
5.9%
8 351
 
5.3%
Other values (3) 386
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1030
15.6%
- 930
14.1%
3 837
12.7%
0 787
11.9%
2 548
8.3%
6 486
7.4%
1 452
6.8%
4 402
 
6.1%
7 390
 
5.9%
8 351
 
5.3%
Other values (3) 386
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)52.1%
Missing317
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean704308.06
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:09.288670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700160
Q1702062
median703955.5
Q3705877.5
95-th percentile711813.5
Maximum711891
Range11881
Interquartile range (IQR)3815.5

Descriptive statistics

Standard deviation2971.109
Coefficient of variation (CV)0.0042184794
Kurtosis0.82623023
Mean704308.06
Median Absolute Deviation (MAD)1893.5
Skewness0.99562416
Sum3.6342296 × 108
Variance8827488.8
MonotonicityNot monotonic
2023-12-11T05:47:09.535110image/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%
702013 7
 
0.8%
702261 7
 
0.8%
706170 6
 
0.7%
704808 6
 
0.7%
704928 6
 
0.7%
700150 6
 
0.7%
701817 5
 
0.6%
Other values (259) 441
52.9%
(Missing) 317
38.1%
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 

Distinct782
Distinct (%)96.0%
Missing18
Missing (%)2.2%
Memory size6.6 KiB
2023-12-11T05:47:10.179552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length23.065031
Min length6

Characters and Unicode

Total characters18798
Distinct characters254
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

Unique755 ?
Unique (%)92.6%

Sample

1st row대구광역시 중구 동성로2가 88번지 22호 엑슨밀라노 3층 306호
2nd row대구광역시 중구 삼덕동1가 18번지 8호
3rd row대구광역시 중구 포정동 16번지 (무궁화백화점105,106,122,130,134호)
4th row대구광역시 중구 문화동 16번지 3호
5th row대구광역시 중구 문화동 17번지 2호
ValueCountFrequency (%)
대구광역시 790
 
20.0%
달서구 144
 
3.6%
북구 142
 
3.6%
수성구 129
 
3.3%
동구 103
 
2.6%
1호 97
 
2.5%
중구 86
 
2.2%
서구 68
 
1.7%
달성군 61
 
1.5%
남구 57
 
1.4%
Other values (1069) 2282
57.6%
2023-12-11T05:47:11.007531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3165
16.8%
구 1537
 
8.2%
1 1115
 
5.9%
동 913
 
4.9%
대 885
 
4.7%
시 799
 
4.3%
역 797
 
4.2%
광 793
 
4.2%
지 645
 
3.4%
번 603
 
3.2%
Other values (244) 7546
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11128
59.2%
Decimal Number 4215
 
22.4%
Space Separator 3165
 
16.8%
Dash Punctuation 178
 
0.9%
Other Punctuation 37
 
0.2%
Close Punctuation 28
 
0.1%
Open Punctuation 28
 
0.1%
Uppercase Letter 14
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1537
13.8%
동 913
 
8.2%
대 885
 
8.0%
시 799
 
7.2%
역 797
 
7.2%
광 793
 
7.1%
지 645
 
5.8%
번 603
 
5.4%
호 552
 
5.0%
성 271
 
2.4%
Other values (218) 3333
30.0%
Decimal Number
ValueCountFrequency (%)
1 1115
26.5%
2 552
13.1%
3 440
 
10.4%
0 387
 
9.2%
4 362
 
8.6%
5 341
 
8.1%
6 279
 
6.6%
7 259
 
6.1%
8 244
 
5.8%
9 236
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
42.9%
B 3
21.4%
A 2
 
14.3%
F 1
 
7.1%
D 1
 
7.1%
E 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 25
67.6%
. 6
 
16.2%
/ 6
 
16.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
3165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11128
59.2%
Common 7653
40.7%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1537
13.8%
동 913
 
8.2%
대 885
 
8.0%
시 799
 
7.2%
역 797
 
7.2%
광 793
 
7.1%
지 645
 
5.8%
번 603
 
5.4%
호 552
 
5.0%
성 271
 
2.4%
Other values (218) 3333
30.0%
Common
ValueCountFrequency (%)
3165
41.4%
1 1115
 
14.6%
2 552
 
7.2%
3 440
 
5.7%
0 387
 
5.1%
4 362
 
4.7%
5 341
 
4.5%
6 279
 
3.6%
7 259
 
3.4%
8 244
 
3.2%
Other values (8) 509
 
6.7%
Latin
ValueCountFrequency (%)
C 6
35.3%
B 3
17.6%
c 2
 
11.8%
A 2
 
11.8%
e 1
 
5.9%
F 1
 
5.9%
D 1
 
5.9%
E 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11128
59.2%
ASCII 7670
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3165
41.3%
1 1115
 
14.5%
2 552
 
7.2%
3 440
 
5.7%
0 387
 
5.0%
4 362
 
4.7%
5 341
 
4.4%
6 279
 
3.6%
7 259
 
3.4%
8 244
 
3.2%
Other values (16) 526
 
6.9%
Hangul
ValueCountFrequency (%)
구 1537
13.8%
동 913
 
8.2%
대 885
 
8.0%
시 799
 
7.2%
역 797
 
7.2%
광 793
 
7.1%
지 645
 
5.8%
번 603
 
5.4%
호 552
 
5.0%
성 271
 
2.4%
Other values (218) 3333
30.0%

도로명전체주소
Text

MISSING 

Distinct756
Distinct (%)94.9%
Missing36
Missing (%)4.3%
Memory size6.6 KiB
2023-12-11T05:47:11.594121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length26.811794
Min length15

Characters and Unicode

Total characters21369
Distinct characters291
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

Unique719 ?
Unique (%)90.2%

Sample

1st row대구광역시 중구 동성로 39 (동성로2가,엑슨밀라노 3층 306호)
2nd row대구광역시 중구 동성로5길 43 (삼덕동1가)
3rd row대구광역시 중구 경상감영길 111 (포정동, (무궁화백화점105,106,122,130,134호))
4th row대구광역시 중구 국채보상로 603 (문화동)
5th row대구광역시 중구 국채보상로 604 (문화동)
ValueCountFrequency (%)
대구광역시 797
 
18.0%
달서구 146
 
3.3%
북구 143
 
3.2%
수성구 130
 
2.9%
동구 104
 
2.3%
중구 96
 
2.2%
1층 95
 
2.1%
달구벌대로 81
 
1.8%
서구 67
 
1.5%
달성군 60
 
1.4%
Other values (1015) 2720
61.3%
2023-12-11T05:47:12.449037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3642
 
17.0%
구 1673
 
7.8%
대 1098
 
5.1%
동 1045
 
4.9%
로 819
 
3.8%
역 814
 
3.8%
시 808
 
3.8%
광 800
 
3.7%
1 759
 
3.6%
( 747
 
3.5%
Other values (281) 9164
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12699
59.4%
Space Separator 3642
 
17.0%
Decimal Number 3093
 
14.5%
Open Punctuation 747
 
3.5%
Close Punctuation 747
 
3.5%
Other Punctuation 338
 
1.6%
Dash Punctuation 79
 
0.4%
Uppercase Letter 19
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1673
 
13.2%
대 1098
 
8.6%
동 1045
 
8.2%
로 819
 
6.4%
역 814
 
6.4%
시 808
 
6.4%
광 800
 
6.3%
성 348
 
2.7%
달 314
 
2.5%
서 265
 
2.1%
Other values (252) 4715
37.1%
Decimal Number
ValueCountFrequency (%)
1 759
24.5%
2 468
15.1%
0 320
10.3%
3 316
10.2%
5 230
 
7.4%
4 227
 
7.3%
6 220
 
7.1%
8 190
 
6.1%
7 187
 
6.0%
9 176
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
21.1%
K 3
15.8%
B 3
15.8%
S 2
10.5%
A 2
10.5%
E 2
10.5%
Y 1
 
5.3%
F 1
 
5.3%
D 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 334
98.8%
. 2
 
0.6%
/ 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
3642
100.0%
Open Punctuation
ValueCountFrequency (%)
( 747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 747
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12699
59.4%
Common 8648
40.5%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1673
 
13.2%
대 1098
 
8.6%
동 1045
 
8.2%
로 819
 
6.4%
역 814
 
6.4%
시 808
 
6.4%
광 800
 
6.3%
성 348
 
2.7%
달 314
 
2.5%
서 265
 
2.1%
Other values (252) 4715
37.1%
Common
ValueCountFrequency (%)
3642
42.1%
1 759
 
8.8%
( 747
 
8.6%
) 747
 
8.6%
2 468
 
5.4%
, 334
 
3.9%
0 320
 
3.7%
3 316
 
3.7%
5 230
 
2.7%
4 227
 
2.6%
Other values (8) 858
 
9.9%
Latin
ValueCountFrequency (%)
C 4
18.2%
K 3
13.6%
B 3
13.6%
S 2
9.1%
c 2
9.1%
A 2
9.1%
E 2
9.1%
e 1
 
4.5%
Y 1
 
4.5%
F 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12699
59.4%
ASCII 8670
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3642
42.0%
1 759
 
8.8%
( 747
 
8.6%
) 747
 
8.6%
2 468
 
5.4%
, 334
 
3.9%
0 320
 
3.7%
3 316
 
3.6%
5 230
 
2.7%
4 227
 
2.6%
Other values (19) 880
 
10.1%
Hangul
ValueCountFrequency (%)
구 1673
 
13.2%
대 1098
 
8.6%
동 1045
 
8.2%
로 819
 
6.4%
역 814
 
6.4%
시 808
 
6.4%
광 800
 
6.3%
성 348
 
2.7%
달 314
 
2.5%
서 265
 
2.1%
Other values (252) 4715
37.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct439
Distinct (%)61.7%
Missing122
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean119421.73
Minimum41002
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:12.671258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41144
Q141552
median42082
Q342736.5
95-th percentile704909.5
Maximum711873
Range670871
Interquartile range (IQR)1184.5

Descriptive statistics

Standard deviation213115.39
Coefficient of variation (CV)1.7845612
Kurtosis3.7341247
Mean119421.73
Median Absolute Deviation (MAD)562
Skewness2.3923252
Sum84908851
Variance4.5418171 × 1010
MonotonicityNot monotonic
2023-12-11T05:47:12.862943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 14
 
1.7%
41941 10
 
1.2%
42760 9
 
1.1%
41544 8
 
1.0%
41938 7
 
0.8%
41957 7
 
0.8%
41942 6
 
0.7%
41026 6
 
0.7%
41535 5
 
0.6%
41229 5
 
0.6%
Other values (429) 634
76.1%
(Missing) 122
 
14.6%
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%
41041 1
 
0.1%
41049 1
 
0.1%
41050 1
 
0.1%
41052 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

Distinct758
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-11T05:47:13.158628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.2617047
Min length1

Characters and Unicode

Total characters6049
Distinct characters384
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

Unique699 ?
Unique (%)83.9%

Sample

1st row밀라노 안경
2nd row킴스안경원
3rd row아이캐슬
4th row아인아이콘택트안경
5th row씨채널한일로점안경원
ValueCountFrequency (%)
안경원 32
 
3.2%
안경 13
 
1.3%
아이젠트리 11
 
1.1%
안경명가 10
 
1.0%
으뜸50안경 7
 
0.7%
안경매니져 7
 
0.7%
안경콘택트 6
 
0.6%
오렌즈 5
 
0.5%
상인점 5
 
0.5%
가톨릭안경원 4
 
0.4%
Other values (777) 901
90.0%
2023-12-11T05:47:13.715907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 723
 
12.0%
경 720
 
11.9%
원 342
 
5.7%
점 221
 
3.7%
이 209
 
3.5%
트 202
 
3.3%
아 193
 
3.2%
168
 
2.8%
콘 146
 
2.4%
스 126
 
2.1%
Other values (374) 2999
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5592
92.4%
Space Separator 168
 
2.8%
Decimal Number 89
 
1.5%
Uppercase Letter 49
 
0.8%
Close Punctuation 44
 
0.7%
Open Punctuation 44
 
0.7%
Lowercase Letter 42
 
0.7%
Other Punctuation 18
 
0.3%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 723
 
12.9%
경 720
 
12.9%
원 342
 
6.1%
점 221
 
4.0%
이 209
 
3.7%
트 202
 
3.6%
아 193
 
3.5%
콘 146
 
2.6%
스 126
 
2.3%
택 117
 
2.1%
Other values (328) 2593
46.4%
Lowercase Letter
ValueCountFrequency (%)
e 12
28.6%
s 6
14.3%
o 6
14.3%
l 3
 
7.1%
p 2
 
4.8%
n 2
 
4.8%
a 2
 
4.8%
k 2
 
4.8%
c 1
 
2.4%
h 1
 
2.4%
Other values (5) 5
11.9%
Uppercase Letter
ValueCountFrequency (%)
O 13
26.5%
K 13
26.5%
L 5
 
10.2%
S 4
 
8.2%
E 3
 
6.1%
T 3
 
6.1%
A 2
 
4.1%
D 1
 
2.0%
P 1
 
2.0%
G 1
 
2.0%
Other values (3) 3
 
6.1%
Decimal Number
ValueCountFrequency (%)
0 37
41.6%
1 30
33.7%
5 9
 
10.1%
2 6
 
6.7%
3 3
 
3.4%
7 2
 
2.2%
9 1
 
1.1%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 5
27.8%
/ 1
 
5.6%
· 1
 
5.6%
, 1
 
5.6%
Space Separator
ValueCountFrequency (%)
168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5591
92.4%
Common 366
 
6.1%
Latin 91
 
1.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 723
 
12.9%
경 720
 
12.9%
원 342
 
6.1%
점 221
 
4.0%
이 209
 
3.7%
트 202
 
3.6%
아 193
 
3.5%
콘 146
 
2.6%
스 126
 
2.3%
택 117
 
2.1%
Other values (327) 2592
46.4%
Latin
ValueCountFrequency (%)
O 13
14.3%
K 13
14.3%
e 12
13.2%
s 6
 
6.6%
o 6
 
6.6%
L 5
 
5.5%
S 4
 
4.4%
E 3
 
3.3%
l 3
 
3.3%
T 3
 
3.3%
Other values (18) 23
25.3%
Common
ValueCountFrequency (%)
168
45.9%
) 44
 
12.0%
( 44
 
12.0%
0 37
 
10.1%
1 30
 
8.2%
. 10
 
2.7%
5 9
 
2.5%
2 6
 
1.6%
& 5
 
1.4%
3 3
 
0.8%
Other values (8) 10
 
2.7%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5591
92.4%
ASCII 456
 
7.5%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 723
 
12.9%
경 720
 
12.9%
원 342
 
6.1%
점 221
 
4.0%
이 209
 
3.7%
트 202
 
3.6%
아 193
 
3.5%
콘 146
 
2.6%
스 126
 
2.3%
택 117
 
2.1%
Other values (327) 2592
46.4%
ASCII
ValueCountFrequency (%)
168
36.8%
) 44
 
9.6%
( 44
 
9.6%
0 37
 
8.1%
1 30
 
6.6%
O 13
 
2.9%
K 13
 
2.9%
e 12
 
2.6%
. 10
 
2.2%
5 9
 
2.0%
Other values (35) 76
16.7%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct808
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014624 × 1013
Minimum2.0080925 × 1013
Maximum2.0210127 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:13.911883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080925 × 1013
5-th percentile2.0090435 × 1013
Q12.012043 × 1013
median2.0140513 × 1013
Q32.0180129 × 1013
95-th percentile2.020071 × 1013
Maximum2.0210127 × 1013
Range1.292021 × 1011
Interquartile range (IQR)5.969895 × 1010

Descriptive statistics

Standard deviation3.4382712 × 1010
Coefficient of variation (CV)0.0017066565
Kurtosis-1.00864
Mean2.014624 × 1013
Median Absolute Deviation (MAD)2.939203 × 1010
Skewness0.064568141
Sum1.6781818 × 1016
Variance1.1821709 × 1021
MonotonicityNot monotonic
2023-12-11T05:47:14.168569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080925000000 18
 
2.2%
20081212172445 9
 
1.1%
20100617153732 1
 
0.1%
20140630193246 1
 
0.1%
20090521111344 1
 
0.1%
20130208103257 1
 
0.1%
20200401102943 1
 
0.1%
20150126173144 1
 
0.1%
20111128174109 1
 
0.1%
20160225174911 1
 
0.1%
Other values (798) 798
95.8%
ValueCountFrequency (%)
20080925000000 18
2.2%
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 (%)
20210127100320 1
0.1%
20210125161151 1
0.1%
20210122154046 1
0.1%
20210118164741 1
0.1%
20210113175301 1
0.1%
20210113175155 1
0.1%
20210106140132 1
0.1%
20210105132043 1
0.1%
20210104140117 1
0.1%
20210104135028 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
I
695 
U
138 

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 695
83.4%
U 138
 
16.6%

Length

2023-12-11T05:47:14.375028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:14.559591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 695
83.4%
u 138
 
16.6%

데이터갱신일자
Date

Distinct155
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-29 02:40:00
2023-12-11T05:47:14.716369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:47:15.299498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing833
Missing (%)100.0%
Memory size7.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct705
Distinct (%)88.5%
Missing36
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean342961.68
Minimum328032.2
Maximum356199.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:15.586668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328032.2
5-th percentile334441.9
Q1339817.1
median343745.49
Q3346040.39
95-th percentile351099.42
Maximum356199.41
Range28167.217
Interquartile range (IQR)6223.288

Descriptive statistics

Standard deviation5010.5417
Coefficient of variation (CV)0.014609625
Kurtosis0.39271693
Mean342961.68
Median Absolute Deviation (MAD)3212.044
Skewness-0.12019249
Sum2.7334046 × 108
Variance25105528
MonotonicityNot monotonic
2023-12-11T05:47:15.856656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343820.40768 7
 
0.8%
347037.24197 5
 
0.6%
345383.649328 4
 
0.5%
348305.012649 4
 
0.5%
344118.883045 3
 
0.4%
345208.739146 3
 
0.4%
338508.03969 3
 
0.4%
340424.925495 3
 
0.4%
337528.698116 3
 
0.4%
343588.735555 3
 
0.4%
Other values (695) 759
91.1%
(Missing) 36
 
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%
355857.357218 1
0.1%
355852.938233 1
0.1%
355796.64243 1
0.1%
355691.798566 1
0.1%
355658.713055 1
0.1%
355167.811825 1
0.1%
355040.636628 1
0.1%
354848.22601 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct705
Distinct (%)88.5%
Missing36
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean263393.39
Minimum240451
Maximum273568.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:16.114977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240451
5-th percentile257315.58
Q1261532.39
median263792.1
Q3265605.21
95-th percentile270924.93
Maximum273568.29
Range33117.291
Interquartile range (IQR)4072.8189

Descriptive statistics

Standard deviation4538.0109
Coefficient of variation (CV)0.017229023
Kurtosis4.9996897
Mean263393.39
Median Absolute Deviation (MAD)2091.3061
Skewness-1.3091942
Sum2.0992454 × 108
Variance20593543
MonotonicityNot monotonic
2023-12-11T05:47:16.323072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.87607 7
 
0.8%
265407.404337 5
 
0.6%
267901.294823 4
 
0.5%
259052.290675 4
 
0.5%
270271.225719 3
 
0.4%
265132.987974 3
 
0.4%
265385.794068 3
 
0.4%
266150.097722 3
 
0.4%
263837.312984 3
 
0.4%
264379.268837 3
 
0.4%
Other values (695) 759
91.1%
(Missing) 36
 
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%
272588.065577 1
0.1%
272577.250458 1
0.1%

시력표수
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
500 
0
272 
2
 
34
<NA>
 
24
3
 
3

Length

Max length4
Median length1
Mean length1.0864346
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 500
60.0%
0 272
32.7%
2 34
 
4.1%
<NA> 24
 
2.9%
3 3
 
0.4%

Length

2023-12-11T05:47:16.550258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:16.752370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
60.0%
0 272
32.7%
2 34
 
4.1%
na 24
 
2.9%
3 3
 
0.4%

표본렌즈수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.8%
Missing33
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean1.0075
Minimum0
Maximum240
Zeros272
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:16.923959image/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 deviation8.4790809
Coefficient of variation (CV)8.4159612
Kurtosis792.88512
Mean1.0075
Median Absolute Deviation (MAD)0
Skewness28.095741
Sum806
Variance71.894812
MonotonicityNot monotonic
2023-12-11T05:47:17.063998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 493
59.2%
0 272
32.7%
2 30
 
3.6%
3 3
 
0.4%
4 1
 
0.1%
240 1
 
0.1%
(Missing) 33
 
4.0%
ValueCountFrequency (%)
0 272
32.7%
1 493
59.2%
2 30
 
3.6%
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 30
 
3.6%
1 493
59.2%
0 272
32.7%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.8%
Missing34
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean0.73341677
Minimum0
Maximum12
Zeros272
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:17.227995image/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 deviation0.70995232
Coefficient of variation (CV)0.96800666
Kurtosis79.455967
Mean0.73341677
Median Absolute Deviation (MAD)0
Skewness5.300545
Sum586
Variance0.5040323
MonotonicityNot monotonic
2023-12-11T05:47:17.403060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 485
58.2%
0 272
32.7%
2 36
 
4.3%
3 3
 
0.4%
4 2
 
0.2%
12 1
 
0.1%
(Missing) 34
 
4.1%
ValueCountFrequency (%)
0 272
32.7%
1 485
58.2%
2 36
 
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 36
 
4.3%
1 485
58.2%
0 272
32.7%

동공거리측정기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing25
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean0.71534653
Minimum0
Maximum10
Zeros272
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:17.559429image/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 deviation0.71497498
Coefficient of variation (CV)0.9994806
Kurtosis70.636518
Mean0.71534653
Median Absolute Deviation (MAD)0
Skewness5.6587918
Sum578
Variance0.51118922
MonotonicityNot monotonic
2023-12-11T05:47:17.711789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 517
62.1%
0 272
32.7%
2 12
 
1.4%
3 4
 
0.5%
10 2
 
0.2%
5 1
 
0.1%
(Missing) 25
 
3.0%
ValueCountFrequency (%)
0 272
32.7%
1 517
62.1%
2 12
 
1.4%
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
 
1.4%
1 517
62.1%
0 272
32.7%

정점굴절계기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing23
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.80740741
Minimum0
Maximum5
Zeros272
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:17.864270image/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 deviation0.73744586
Coefficient of variation (CV)0.91335038
Kurtosis4.6266845
Mean0.80740741
Median Absolute Deviation (MAD)0
Skewness1.3594727
Sum654
Variance0.5438264
MonotonicityNot monotonic
2023-12-11T05:47:18.015029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 451
54.1%
0 272
32.7%
2 67
 
8.0%
3 14
 
1.7%
4 3
 
0.4%
5 3
 
0.4%
(Missing) 23
 
2.8%
ValueCountFrequency (%)
0 272
32.7%
1 451
54.1%
2 67
 
8.0%
3 14
 
1.7%
4 3
 
0.4%
5 3
 
0.4%
ValueCountFrequency (%)
5 3
 
0.4%
4 3
 
0.4%
3 14
 
1.7%
2 67
 
8.0%
1 451
54.1%
0 272
32.7%

조제용연마기수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
501 
0
273 
<NA>
 
42
2
 
17

Length

Max length4
Median length1
Mean length1.1512605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 501
60.1%
0 273
32.8%
<NA> 42
 
5.0%
2 17
 
2.0%

Length

2023-12-11T05:47:18.199554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:18.368258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 501
60.1%
0 273
32.8%
na 42
 
5.0%
2 17
 
2.0%

렌즈절단기수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
504 
0
273 
<NA>
 
42
2
 
14

Length

Max length4
Median length1
Mean length1.1512605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 504
60.5%
0 273
32.8%
<NA> 42
 
5.0%
2 14
 
1.7%

Length

2023-12-11T05:47:18.533751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:18.697272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 504
60.5%
0 273
32.8%
na 42
 
5.0%
2 14
 
1.7%

가열기수
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
473 
0
273 
<NA>
 
42
2
 
38
3
 
7

Length

Max length4
Median length1
Mean length1.1512605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 473
56.8%
0 273
32.8%
<NA> 42
 
5.0%
2 38
 
4.6%
3 7
 
0.8%

Length

2023-12-11T05:47:18.875673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:19.063030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 473
56.8%
0 273
32.8%
na 42
 
5.0%
2 38
 
4.6%
3 7
 
0.8%

안경세척기수
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
1
464 
0
273 
2
52 
<NA>
 
37
3
 
5

Length

Max length4
Median length1
Mean length1.1332533
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 464
55.7%
0 273
32.8%
2 52
 
6.2%
<NA> 37
 
4.4%
3 5
 
0.6%
4 2
 
0.2%

Length

2023-12-11T05:47:19.265147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:19.433357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 464
55.7%
0 273
32.8%
2 52
 
6.2%
na 37
 
4.4%
3 5
 
0.6%
4 2
 
0.2%

총면적
Real number (ℝ)

MISSING 

Distinct290
Distinct (%)77.7%
Missing460
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean97.083941
Minimum0
Maximum2634.02
Zeros4
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-11T05:47:19.640998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.136
Q144.58
median69
Q3112
95-th percentile232.424
Maximum2634.02
Range2634.02
Interquartile range (IQR)67.42

Descriptive statistics

Standard deviation152.22169
Coefficient of variation (CV)1.5679389
Kurtosis208.8729
Mean97.083941
Median Absolute Deviation (MAD)30
Skewness12.858099
Sum36212.31
Variance23171.443
MonotonicityNot monotonic
2023-12-11T05:47:19.847873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.0 6
 
0.7%
50.0 5
 
0.6%
0.0 4
 
0.5%
66.0 4
 
0.5%
100.0 4
 
0.5%
99.0 4
 
0.5%
44.0 4
 
0.5%
30.0 4
 
0.5%
132.0 4
 
0.5%
28.0 3
 
0.4%
Other values (280) 331
39.7%
(Missing) 460
55.2%
ValueCountFrequency (%)
0.0 4
0.5%
1.0 2
0.2%
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%
18.75 1
 
0.1%
ValueCountFrequency (%)
2634.02 1
0.1%
727.71 1
0.1%
475.0 1
0.1%
415.31 1
0.1%
384.69 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%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
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12안경업01_02_01_P3410000PHMB22001341002308220000520011105<NA>1영업/정상13영업중<NA><NA><NA><NA>256-7888<NA>700411대구광역시 중구 삼덕동1가 18번지 8호대구광역시 중구 동성로5길 43 (삼덕동1가)41941킴스안경원20131017170015I2018-08-31 23:59:59.0<NA>344158.633787264236.152949000000000<NA>
23안경업01_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>
34안경업01_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>
45안경업01_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>
56안경업01_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
67안경업01_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>
78안경업01_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
89안경업01_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
910안경업01_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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
823824안경업01_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
824825안경업01_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
825826안경업01_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
826827안경업01_02_01_P3480000PHMB22013348001208220000120130524<NA>1영업/정상13영업중<NA><NA><NA><NA>053-586-0539<NA>711815대구광역시 달성군 다사읍 죽곡리 807번지 5호대구광역시 달성군 다사읍 달구벌대로 87842918다사안경원20200914144855U2020-09-16 02:40:00.0<NA>332252.319014262943.417994111111111103.74
827828안경업01_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
828829안경업01_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
829830안경업01_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
830831안경업01_02_01_P3480000PHMB22019348001208220000320190426<NA>1영업/정상13영업중<NA><NA><NA><NA>053-586-5055<NA><NA>대구광역시 달성군 다사읍 죽곡리 808번지 6호 그린주차빌딩대구광역시 달성군 다사읍 죽곡1길 7-8, 그린주차빌딩 2층42918으뜸50안경 대구죽곡점20190426134134I2019-04-28 02:20:33.0<NA>332227.145212262912.16154111111111184.42
831832안경업01_02_01_P3480000PHMB22019348001208220000220190424<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-9933<NA><NA>대구광역시 달성군 다사읍 죽곡리 807번지 3호대구광역시 달성군 다사읍 달구벌대로 874, 그랜드타워 108호42918세컨페이스 다사점20190424142549I2019-04-26 02:20:49.0<NA>332226.263646262968.382653111111111111.72
832833안경업01_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