Overview

Dataset statistics

Number of variables38
Number of observations920
Missing cells6670
Missing cells (%)19.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory292.1 KiB
Average record size in memory325.1 B

Variable types

Numeric9
Categorical13
Text8
Unsupported5
DateTime3

Dataset

Description24년03월_6270000_대구광역시_01_02_01_P_안경업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106689&dataSetDetailId=DDI_0000106756&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업종료일자 is highly imbalanced (88.6%)Imbalance
인허가취소일자 has 920 (100.0%) missing valuesMissing
폐업일자 has 631 (68.6%) missing valuesMissing
휴업시작일자 has 920 (100.0%) missing valuesMissing
재개업일자 has 920 (100.0%) missing valuesMissing
소재지전화 has 212 (23.0%) missing valuesMissing
소재지면적 has 920 (100.0%) missing valuesMissing
소재지우편번호 has 399 (43.4%) missing valuesMissing
소재지전체주소 has 26 (2.8%) missing valuesMissing
도로명전체주소 has 36 (3.9%) missing valuesMissing
도로명우편번호 has 121 (13.2%) missing valuesMissing
업태구분명 has 920 (100.0%) missing valuesMissing
좌표정보(X) has 45 (4.9%) missing valuesMissing
좌표정보(Y) has 45 (4.9%) missing valuesMissing
표본렌즈수 has 42 (4.6%) missing valuesMissing
측정의자수 has 43 (4.7%) missing valuesMissing
동공거리측정기수 has 19 (2.1%) missing valuesMissing
정점굴절계기수 has 18 (2.0%) missing valuesMissing
총면적 has 433 (47.1%) missing valuesMissing
표본렌즈수 is highly skewed (γ1 = 29.40617203)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 345 (37.5%) zerosZeros
측정의자수 has 345 (37.5%) zerosZeros
동공거리측정기수 has 283 (30.8%) zerosZeros
정점굴절계기수 has 282 (30.7%) zerosZeros
총면적 has 50 (5.4%) zerosZeros

Reproduction

Analysis started2024-04-29 12:51:44.307387
Analysis finished2024-04-29 12:51:45.326627
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct920
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460.5
Minimum1
Maximum920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:45.570612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46.95
Q1230.75
median460.5
Q3690.25
95-th percentile874.05
Maximum920
Range919
Interquartile range (IQR)459.5

Descriptive statistics

Standard deviation265.72542
Coefficient of variation (CV)0.57703675
Kurtosis-1.2
Mean460.5
Median Absolute Deviation (MAD)230
Skewness0
Sum423660
Variance70610
MonotonicityStrictly increasing
2024-04-29T21:51:45.699510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
606 1
 
0.1%
608 1
 
0.1%
609 1
 
0.1%
610 1
 
0.1%
611 1
 
0.1%
612 1
 
0.1%
613 1
 
0.1%
614 1
 
0.1%
615 1
 
0.1%
Other values (910) 910
98.9%
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 (%)
920 1
0.1%
919 1
0.1%
918 1
0.1%
917 1
0.1%
916 1
0.1%
915 1
0.1%
914 1
0.1%
913 1
0.1%
912 1
0.1%
911 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
안경업
920 

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 920
100.0%

Length

2024-04-29T21:51:45.814007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:45.894109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 920
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
01_02_01_P
920 

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 920
100.0%

Length

2024-04-29T21:51:45.991664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:46.075872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 920
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451177.2
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:46.152777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation99344.249
Coefficient of variation (CV)0.028785613
Kurtosis272.06141
Mean3451177.2
Median Absolute Deviation (MAD)20000
Skewness16.088825
Sum3.175083 × 109
Variance9.8692798 × 109
MonotonicityIncreasing
2024-04-29T21:51:46.247425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 164
17.8%
3450000 159
17.3%
3460000 148
16.1%
3410000 133
14.5%
3420000 116
12.6%
3430000 70
7.6%
3480000 68
7.4%
3440000 59
 
6.4%
5141000 3
 
0.3%
ValueCountFrequency (%)
3410000 133
14.5%
3420000 116
12.6%
3430000 70
7.6%
3440000 59
 
6.4%
3450000 159
17.3%
3460000 148
16.1%
3470000 164
17.8%
3480000 68
7.4%
5141000 3
 
0.3%
ValueCountFrequency (%)
5141000 3
 
0.3%
3480000 68
7.4%
3470000 164
17.8%
3460000 148
16.1%
3450000 159
17.3%
3440000 59
 
6.4%
3430000 70
7.6%
3420000 116
12.6%
3410000 133
14.5%

관리번호
Text

UNIQUE 

Distinct920
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-04-29T21:51:46.437255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters23000
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

Unique920 ?
Unique (%)100.0%

Sample

1st rowPHMB219953410023082200003
2nd rowPHMB220213410023082200001
3rd rowPHMB220233410023082200001
4th rowPHMB219843410023082200002
5th rowPHMB220163410023082200006
ValueCountFrequency (%)
phmb219953410023082200003 1
 
0.1%
phmb220113460023082200003 1
 
0.1%
phmb220033460023082200003 1
 
0.1%
phmb220033460023082200004 1
 
0.1%
phmb219953460023082200001 1
 
0.1%
phmb219973460023082200001 1
 
0.1%
phmb219983460023082200001 1
 
0.1%
phmb219993460023082200002 1
 
0.1%
phmb219993460023082200004 1
 
0.1%
phmb220013460023082200001 1
 
0.1%
Other values (910) 910
98.9%
2024-04-29T21:51:46.736712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7536
32.8%
2 5142
22.4%
3 1610
 
7.0%
4 1227
 
5.3%
1 1198
 
5.2%
8 1156
 
5.0%
P 920
 
4.0%
H 920
 
4.0%
M 920
 
4.0%
B 920
 
4.0%
Other values (4) 1451
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19320
84.0%
Uppercase Letter 3680
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7536
39.0%
2 5142
26.6%
3 1610
 
8.3%
4 1227
 
6.4%
1 1198
 
6.2%
8 1156
 
6.0%
9 549
 
2.8%
5 317
 
1.6%
6 295
 
1.5%
7 290
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 920
25.0%
H 920
25.0%
M 920
25.0%
B 920
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19320
84.0%
Latin 3680
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7536
39.0%
2 5142
26.6%
3 1610
 
8.3%
4 1227
 
6.4%
1 1198
 
6.2%
8 1156
 
6.0%
9 549
 
2.8%
5 317
 
1.6%
6 295
 
1.5%
7 290
 
1.5%
Latin
ValueCountFrequency (%)
P 920
25.0%
H 920
25.0%
M 920
25.0%
B 920
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7536
32.8%
2 5142
22.4%
3 1610
 
7.0%
4 1227
 
5.3%
1 1198
 
5.2%
8 1156
 
5.0%
P 920
 
4.0%
H 920
 
4.0%
M 920
 
4.0%
B 920
 
4.0%
Other values (4) 1451
 
6.3%

인허가일자
Text

Distinct853
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-04-29T21:51:47.001243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters9200
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique796 ?
Unique (%)86.5%

Sample

1st row1995-07-03
2nd row2021-03-31
3rd row2023-10-05
4th row1984-11-28
5th row2016-12-05
ValueCountFrequency (%)
1990-11-26 6
 
0.7%
2014-07-28 3
 
0.3%
2010-12-10 3
 
0.3%
2012-06-27 3
 
0.3%
2011-04-08 3
 
0.3%
2002-11-19 3
 
0.3%
2005-11-16 3
 
0.3%
1998-06-22 2
 
0.2%
2003-02-15 2
 
0.2%
1981-07-01 2
 
0.2%
Other values (843) 890
96.7%
2024-04-29T21:51:47.385336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2185
23.8%
- 1840
20.0%
2 1457
15.8%
1 1433
15.6%
9 633
 
6.9%
8 320
 
3.5%
3 296
 
3.2%
6 267
 
2.9%
4 261
 
2.8%
5 255
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7360
80.0%
Dash Punctuation 1840
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2185
29.7%
2 1457
19.8%
1 1433
19.5%
9 633
 
8.6%
8 320
 
4.3%
3 296
 
4.0%
6 267
 
3.6%
4 261
 
3.5%
5 255
 
3.5%
7 253
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1840
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2185
23.8%
- 1840
20.0%
2 1457
15.8%
1 1433
15.6%
9 633
 
6.9%
8 320
 
3.5%
3 296
 
3.2%
6 267
 
2.9%
4 261
 
2.8%
5 255
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2185
23.8%
- 1840
20.0%
2 1457
15.8%
1 1433
15.6%
9 633
 
6.9%
8 320
 
3.5%
3 296
 
3.2%
6 267
 
2.9%
4 261
 
2.8%
5 255
 
2.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing920
Missing (%)100.0%
Memory size8.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
631 
3
283 
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 row4

Common Values

ValueCountFrequency (%)
1 631
68.6%
3 283
30.8%
4 6
 
0.7%

Length

2024-04-29T21:51:47.506433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:47.590947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 631
68.6%
3 283
30.8%
4 6
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
영업/정상
631 
폐업
283 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.1358696
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 631
68.6%
폐업 283
30.8%
취소/말소/만료/정지/중지 6
 
0.7%

Length

2024-04-29T21:51:47.686185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:47.775285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 631
68.6%
폐업 283
30.8%
취소/말소/만료/정지/중지 6
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
13
631 
3
283 
24
 
6

Length

Max length2
Median length2
Mean length1.6923913
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row24

Common Values

ValueCountFrequency (%)
13 631
68.6%
3 283
30.8%
24 6
 
0.7%

Length

2024-04-29T21:51:47.880234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:47.966039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 631
68.6%
3 283
30.8%
24 6
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
영업중
631 
폐업
283 
직권폐업
 
6

Length

Max length4
Median length3
Mean length2.698913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 631
68.6%
폐업 283
30.8%
직권폐업 6
 
0.7%

Length

2024-04-29T21:51:48.083080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:48.177806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 631
68.6%
폐업 283
30.8%
직권폐업 6
 
0.7%

폐업일자
Date

MISSING 

Distinct271
Distinct (%)93.8%
Missing631
Missing (%)68.6%
Memory size7.3 KiB
Minimum1995-05-20 00:00:00
Maximum2024-03-05 00:00:00
2024-04-29T21:51:48.293781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:51:48.419072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing920
Missing (%)100.0%
Memory size8.2 KiB

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
906 
9999-12-31
 
14

Length

Max length10
Median length4
Mean length4.0913043
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> 906
98.5%
9999-12-31 14
 
1.5%

Length

2024-04-29T21:51:48.524765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:48.606682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 906
98.5%
9999-12-31 14
 
1.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing920
Missing (%)100.0%
Memory size8.2 KiB

소재지전화
Text

MISSING 

Distinct684
Distinct (%)96.6%
Missing212
Missing (%)23.0%
Memory size7.3 KiB
2024-04-29T21:51:48.812937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.336158
Min length7

Characters and Unicode

Total characters7318
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

Unique660 ?
Unique (%)93.2%

Sample

1st row053-253-9993
2nd row053-421-0075
3rd row257-5295
4th row421-9140
5th row256-4222
ValueCountFrequency (%)
253-2405 2
 
0.3%
053-782-0100 2
 
0.3%
053-611-8981 2
 
0.3%
622-9403 2
 
0.3%
053-381-7877 2
 
0.3%
053-955-7525 2
 
0.3%
053-426-1010 2
 
0.3%
256-3515 2
 
0.3%
423-7355 2
 
0.3%
423-4232 2
 
0.3%
Other values (674) 688
97.2%
2024-04-29T21:51:49.168415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1150
15.7%
- 1044
14.3%
3 942
12.9%
0 902
12.3%
2 604
8.3%
6 523
7.1%
1 498
6.8%
4 430
 
5.9%
7 430
 
5.9%
8 377
 
5.2%
Other values (3) 418
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6224
85.1%
Dash Punctuation 1044
 
14.3%
Close Punctuation 49
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1150
18.5%
3 942
15.1%
0 902
14.5%
2 604
9.7%
6 523
8.4%
1 498
8.0%
4 430
 
6.9%
7 430
 
6.9%
8 377
 
6.1%
9 368
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 1044
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1150
15.7%
- 1044
14.3%
3 942
12.9%
0 902
12.3%
2 604
8.3%
6 523
7.1%
1 498
6.8%
4 430
 
5.9%
7 430
 
5.9%
8 377
 
5.2%
Other values (3) 418
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1150
15.7%
- 1044
14.3%
3 942
12.9%
0 902
12.3%
2 604
8.3%
6 523
7.1%
1 498
6.8%
4 430
 
5.9%
7 430
 
5.9%
8 377
 
5.2%
Other values (3) 418
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing920
Missing (%)100.0%
Memory size8.2 KiB

소재지우편번호
Text

MISSING 

Distinct272
Distinct (%)52.2%
Missing399
Missing (%)43.4%
Memory size7.3 KiB
2024-04-29T21:51:49.441903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters3647
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)30.3%

Sample

1st row700-804
2nd row700-411
3rd row700-727
4th row700-411
5th row700-815
ValueCountFrequency (%)
700-411 15
 
2.9%
702-250 10
 
1.9%
702-260 8
 
1.5%
702-261 7
 
1.3%
702-013 7
 
1.3%
700-150 6
 
1.2%
704-928 6
 
1.2%
706-170 6
 
1.2%
704-808 6
 
1.2%
704-902 5
 
1.0%
Other values (262) 445
85.4%
2024-04-29T21:51:49.823244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 842
23.1%
7 603
16.5%
- 521
14.3%
1 331
 
9.1%
2 293
 
8.0%
8 280
 
7.7%
4 223
 
6.1%
3 204
 
5.6%
6 168
 
4.6%
9 94
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3126
85.7%
Dash Punctuation 521
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 842
26.9%
7 603
19.3%
1 331
 
10.6%
2 293
 
9.4%
8 280
 
9.0%
4 223
 
7.1%
3 204
 
6.5%
6 168
 
5.4%
9 94
 
3.0%
5 88
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 521
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3647
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 842
23.1%
7 603
16.5%
- 521
14.3%
1 331
 
9.1%
2 293
 
8.0%
8 280
 
7.7%
4 223
 
6.1%
3 204
 
5.6%
6 168
 
4.6%
9 94
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 842
23.1%
7 603
16.5%
- 521
14.3%
1 331
 
9.1%
2 293
 
8.0%
8 280
 
7.7%
4 223
 
6.1%
3 204
 
5.6%
6 168
 
4.6%
9 94
 
2.6%

소재지전체주소
Text

MISSING 

Distinct857
Distinct (%)95.9%
Missing26
Missing (%)2.8%
Memory size7.3 KiB
2024-04-29T21:51:50.159309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length23.014541
Min length6

Characters and Unicode

Total characters20575
Distinct characters275
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

Unique826 ?
Unique (%)92.4%

Sample

1st row대구광역시 중구 덕산동 88 반월당역
2nd row대구광역시 중구 문화동 16-3
3rd row대구광역시 중구 남산동 2446-1
4th row대구광역시 중구 남산동 2120번지 30호
5th row대구광역시 중구 삼덕동1가 17번지 11호
ValueCountFrequency (%)
대구광역시 868
 
20.0%
달서구 160
 
3.7%
북구 154
 
3.5%
수성구 145
 
3.3%
동구 110
 
2.5%
중구 105
 
2.4%
1호 96
 
2.2%
서구 70
 
1.6%
달성군 64
 
1.5%
남구 58
 
1.3%
Other values (1189) 2513
57.9%
2024-04-29T21:51:50.672580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3469
16.9%
구 1691
 
8.2%
1 1204
 
5.9%
동 1001
 
4.9%
대 974
 
4.7%
시 881
 
4.3%
역 879
 
4.3%
광 871
 
4.2%
지 646
 
3.1%
2 610
 
3.0%
Other values (265) 8349
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12175
59.2%
Decimal Number 4578
 
22.3%
Space Separator 3469
 
16.9%
Dash Punctuation 239
 
1.2%
Other Punctuation 36
 
0.2%
Open Punctuation 29
 
0.1%
Close Punctuation 29
 
0.1%
Uppercase Letter 16
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1691
13.9%
동 1001
 
8.2%
대 974
 
8.0%
시 881
 
7.2%
역 879
 
7.2%
광 871
 
7.2%
지 646
 
5.3%
번 598
 
4.9%
호 558
 
4.6%
성 307
 
2.5%
Other values (238) 3769
31.0%
Decimal Number
ValueCountFrequency (%)
1 1204
26.3%
2 610
13.3%
3 485
10.6%
0 419
 
9.2%
4 387
 
8.5%
5 367
 
8.0%
6 303
 
6.6%
7 286
 
6.2%
8 268
 
5.9%
9 249
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
37.5%
B 3
18.8%
D 2
 
12.5%
A 2
 
12.5%
F 1
 
6.2%
N 1
 
6.2%
E 1
 
6.2%
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 (%)
3469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12175
59.2%
Common 8381
40.7%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1691
13.9%
동 1001
 
8.2%
대 974
 
8.0%
시 881
 
7.2%
역 879
 
7.2%
광 871
 
7.2%
지 646
 
5.3%
번 598
 
4.9%
호 558
 
4.6%
성 307
 
2.5%
Other values (238) 3769
31.0%
Common
ValueCountFrequency (%)
3469
41.4%
1 1204
 
14.4%
2 610
 
7.3%
3 485
 
5.8%
0 419
 
5.0%
4 387
 
4.6%
5 367
 
4.4%
6 303
 
3.6%
7 286
 
3.4%
8 268
 
3.2%
Other values (8) 583
 
7.0%
Latin
ValueCountFrequency (%)
C 6
31.6%
B 3
15.8%
D 2
 
10.5%
c 2
 
10.5%
A 2
 
10.5%
e 1
 
5.3%
F 1
 
5.3%
N 1
 
5.3%
E 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12175
59.2%
ASCII 8400
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3469
41.3%
1 1204
 
14.3%
2 610
 
7.3%
3 485
 
5.8%
0 419
 
5.0%
4 387
 
4.6%
5 367
 
4.4%
6 303
 
3.6%
7 286
 
3.4%
8 268
 
3.2%
Other values (17) 602
 
7.2%
Hangul
ValueCountFrequency (%)
구 1691
13.9%
동 1001
 
8.2%
대 974
 
8.0%
시 881
 
7.2%
역 879
 
7.2%
광 871
 
7.2%
지 646
 
5.3%
번 598
 
4.9%
호 558
 
4.6%
성 307
 
2.5%
Other values (238) 3769
31.0%

도로명전체주소
Text

MISSING 

Distinct843
Distinct (%)95.4%
Missing36
Missing (%)3.9%
Memory size7.3 KiB
2024-04-29T21:51:50.993624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length27.373303
Min length15

Characters and Unicode

Total characters24198
Distinct characters308
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

Unique806 ?
Unique (%)91.2%

Sample

1st row대구광역시 중구 달구벌대로 지하 2100, 반월당역 지하1층 W119호 (덕산동)
2nd row대구광역시 중구 국채보상로 603, 2층 (문화동)
3rd row대구광역시 중구 남산로 56 (남산동)
4th row대구광역시 중구 명덕로 129 (남산동)
5th row대구광역시 중구 동성로5길 38 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 884
 
17.6%
달서구 163
 
3.2%
북구 156
 
3.1%
수성구 146
 
2.9%
1층 129
 
2.6%
동구 115
 
2.3%
중구 115
 
2.3%
달구벌대로 99
 
2.0%
서구 69
 
1.4%
달성군 66
 
1.3%
Other values (1132) 3082
61.3%
2024-04-29T21:51:51.443901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4140
 
17.1%
구 1862
 
7.7%
대 1220
 
5.0%
동 1162
 
4.8%
역 906
 
3.7%
로 906
 
3.7%
1 902
 
3.7%
시 899
 
3.7%
광 888
 
3.7%
( 827
 
3.4%
Other values (298) 10486
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14288
59.0%
Space Separator 4140
 
17.1%
Decimal Number 3579
 
14.8%
Open Punctuation 827
 
3.4%
Close Punctuation 827
 
3.4%
Other Punctuation 420
 
1.7%
Dash Punctuation 86
 
0.4%
Uppercase Letter 25
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1862
 
13.0%
대 1220
 
8.5%
동 1162
 
8.1%
역 906
 
6.3%
로 906
 
6.3%
시 899
 
6.3%
광 888
 
6.2%
성 392
 
2.7%
달 357
 
2.5%
서 289
 
2.0%
Other values (267) 5407
37.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
20.0%
B 4
16.0%
K 3
12.0%
E 2
 
8.0%
F 2
 
8.0%
S 2
 
8.0%
A 2
 
8.0%
D 2
 
8.0%
Y 1
 
4.0%
W 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 902
25.2%
2 547
15.3%
0 385
10.8%
3 354
 
9.9%
4 267
 
7.5%
5 264
 
7.4%
6 251
 
7.0%
7 209
 
5.8%
8 206
 
5.8%
9 194
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 416
99.0%
. 2
 
0.5%
/ 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
4140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 827
100.0%
Close Punctuation
ValueCountFrequency (%)
) 827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14288
59.0%
Common 9882
40.8%
Latin 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1862
 
13.0%
대 1220
 
8.5%
동 1162
 
8.1%
역 906
 
6.3%
로 906
 
6.3%
시 899
 
6.3%
광 888
 
6.2%
성 392
 
2.7%
달 357
 
2.5%
서 289
 
2.0%
Other values (267) 5407
37.8%
Common
ValueCountFrequency (%)
4140
41.9%
1 902
 
9.1%
( 827
 
8.4%
) 827
 
8.4%
2 547
 
5.5%
, 416
 
4.2%
0 385
 
3.9%
3 354
 
3.6%
4 267
 
2.7%
5 264
 
2.7%
Other values (8) 953
 
9.6%
Latin
ValueCountFrequency (%)
C 5
17.9%
B 4
14.3%
K 3
10.7%
E 2
 
7.1%
F 2
 
7.1%
S 2
 
7.1%
c 2
 
7.1%
A 2
 
7.1%
D 2
 
7.1%
e 1
 
3.6%
Other values (3) 3
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14288
59.0%
ASCII 9910
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4140
41.8%
1 902
 
9.1%
( 827
 
8.3%
) 827
 
8.3%
2 547
 
5.5%
, 416
 
4.2%
0 385
 
3.9%
3 354
 
3.6%
4 267
 
2.7%
5 264
 
2.7%
Other values (21) 981
 
9.9%
Hangul
ValueCountFrequency (%)
구 1862
 
13.0%
대 1220
 
8.5%
동 1162
 
8.1%
역 906
 
6.3%
로 906
 
6.3%
시 899
 
6.3%
광 888
 
6.2%
성 392
 
2.7%
달 357
 
2.5%
서 289
 
2.0%
Other values (267) 5407
37.8%

도로명우편번호
Text

MISSING 

Distinct474
Distinct (%)59.3%
Missing121
Missing (%)13.2%
Memory size7.3 KiB
2024-04-29T21:51:51.763755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2077597
Min length5

Characters and Unicode

Total characters4161
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique297 ?
Unique (%)37.2%

Sample

1st row41957
2nd row41913
3rd row41970
4th row41972
5th row41942
ValueCountFrequency (%)
41423 14
 
1.8%
41941 11
 
1.4%
42760 10
 
1.3%
41957 9
 
1.1%
41544 8
 
1.0%
41942 7
 
0.9%
41938 7
 
0.9%
41026 6
 
0.8%
41535 6
 
0.8%
41229 5
 
0.6%
Other values (464) 716
89.6%
2024-04-29T21:51:52.210661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 977
23.5%
1 689
16.6%
2 576
13.8%
0 330
 
7.9%
7 325
 
7.8%
9 256
 
6.2%
8 252
 
6.1%
5 241
 
5.8%
6 228
 
5.5%
3 204
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4078
98.0%
Dash Punctuation 83
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 977
24.0%
1 689
16.9%
2 576
14.1%
0 330
 
8.1%
7 325
 
8.0%
9 256
 
6.3%
8 252
 
6.2%
5 241
 
5.9%
6 228
 
5.6%
3 204
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4161
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 977
23.5%
1 689
16.6%
2 576
13.8%
0 330
 
7.9%
7 325
 
7.8%
9 256
 
6.2%
8 252
 
6.1%
5 241
 
5.8%
6 228
 
5.5%
3 204
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 977
23.5%
1 689
16.6%
2 576
13.8%
0 330
 
7.9%
7 325
 
7.8%
9 256
 
6.2%
8 252
 
6.1%
5 241
 
5.8%
6 228
 
5.5%
3 204
 
4.9%

사업장명
Text

Distinct839
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-04-29T21:51:52.445619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.4728261
Min length1

Characters and Unicode

Total characters6875
Distinct characters401
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

Unique775 ?
Unique (%)84.2%

Sample

1st row동아쇼핑금메달안경원
2nd row아인아이안경
3rd row안경 봄
4th row샛별안경원
5th row렌즈나인동성로점
ValueCountFrequency (%)
안경원 35
 
3.0%
안경 21
 
1.8%
아이젠트리 13
 
1.1%
으뜸플러스안경 12
 
1.0%
으뜸50안경 11
 
1.0%
안경명가 9
 
0.8%
룩스토어 8
 
0.7%
안경매니져 6
 
0.5%
안경콘택트 6
 
0.5%
칠곡점 6
 
0.5%
Other values (858) 1028
89.0%
2024-04-29T21:51:52.804127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 786
 
11.4%
경 784
 
11.4%
원 361
 
5.3%
점 264
 
3.8%
236
 
3.4%
이 228
 
3.3%
아 210
 
3.1%
트 207
 
3.0%
스 156
 
2.3%
콘 148
 
2.2%
Other values (391) 3495
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6269
91.2%
Space Separator 236
 
3.4%
Decimal Number 102
 
1.5%
Uppercase Letter 89
 
1.3%
Lowercase Letter 61
 
0.9%
Open Punctuation 48
 
0.7%
Close Punctuation 48
 
0.7%
Other Punctuation 19
 
0.3%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 786
 
12.5%
경 784
 
12.5%
원 361
 
5.8%
점 264
 
4.2%
이 228
 
3.6%
아 210
 
3.3%
트 207
 
3.3%
스 156
 
2.5%
콘 148
 
2.4%
택 120
 
1.9%
Other values (340) 3005
47.9%
Uppercase Letter
ValueCountFrequency (%)
O 16
18.0%
K 13
14.6%
E 12
13.5%
S 8
9.0%
L 8
9.0%
A 5
 
5.6%
N 5
 
5.6%
T 3
 
3.4%
C 3
 
3.4%
I 3
 
3.4%
Other values (10) 13
14.6%
Lowercase Letter
ValueCountFrequency (%)
e 19
31.1%
n 6
 
9.8%
s 6
 
9.8%
o 6
 
9.8%
l 5
 
8.2%
a 4
 
6.6%
c 3
 
4.9%
h 3
 
4.9%
p 2
 
3.3%
k 2
 
3.3%
Other values (5) 5
 
8.2%
Decimal Number
ValueCountFrequency (%)
0 44
43.1%
1 36
35.3%
5 12
 
11.8%
2 6
 
5.9%
3 2
 
2.0%
7 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 8
42.1%
& 6
31.6%
, 2
 
10.5%
· 2
 
10.5%
/ 1
 
5.3%
Space Separator
ValueCountFrequency (%)
236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6268
91.2%
Common 456
 
6.6%
Latin 150
 
2.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 786
 
12.5%
경 784
 
12.5%
원 361
 
5.8%
점 264
 
4.2%
이 228
 
3.6%
아 210
 
3.4%
트 207
 
3.3%
스 156
 
2.5%
콘 148
 
2.4%
택 120
 
1.9%
Other values (339) 3004
47.9%
Latin
ValueCountFrequency (%)
e 19
 
12.7%
O 16
 
10.7%
K 13
 
8.7%
E 12
 
8.0%
S 8
 
5.3%
L 8
 
5.3%
n 6
 
4.0%
s 6
 
4.0%
o 6
 
4.0%
l 5
 
3.3%
Other values (25) 51
34.0%
Common
ValueCountFrequency (%)
236
51.8%
( 48
 
10.5%
) 48
 
10.5%
0 44
 
9.6%
1 36
 
7.9%
5 12
 
2.6%
. 8
 
1.8%
& 6
 
1.3%
2 6
 
1.3%
3 2
 
0.4%
Other values (6) 10
 
2.2%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6268
91.2%
ASCII 604
 
8.8%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 786
 
12.5%
경 784
 
12.5%
원 361
 
5.8%
점 264
 
4.2%
이 228
 
3.6%
아 210
 
3.4%
트 207
 
3.3%
스 156
 
2.5%
콘 148
 
2.4%
택 120
 
1.9%
Other values (339) 3004
47.9%
ASCII
ValueCountFrequency (%)
236
39.1%
( 48
 
7.9%
) 48
 
7.9%
0 44
 
7.3%
1 36
 
6.0%
e 19
 
3.1%
O 16
 
2.6%
K 13
 
2.2%
5 12
 
2.0%
E 12
 
2.0%
Other values (40) 120
19.9%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Date

Distinct899
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2008-09-25 00:00:00
Maximum2024-03-27 15:19:53
2024-04-29T21:51:52.931504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:51:53.071236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
I
689 
U
231 

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 689
74.9%
U 231
 
25.1%

Length

2024-04-29T21:51:53.179080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:53.252760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 689
74.9%
u 231
 
25.1%

데이터갱신일자
Date

Distinct306
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-29 02:40:00
2024-04-29T21:51:53.356122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:51:53.476193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing920
Missing (%)100.0%
Memory size8.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct770
Distinct (%)88.0%
Missing45
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean343007.18
Minimum328032.2
Maximum357916.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:53.605589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328032.2
5-th percentile334432.35
Q1339813.26
median343745.49
Q3346035.68
95-th percentile352936.55
Maximum357916.12
Range29883.926
Interquartile range (IQR)6222.4209

Descriptive statistics

Standard deviation5082.9738
Coefficient of variation (CV)0.014818855
Kurtosis0.42621418
Mean343007.18
Median Absolute Deviation (MAD)3226.3455
Skewness-0.076317771
Sum3.0013129 × 108
Variance25836622
MonotonicityNot monotonic
2024-04-29T21:51:53.972098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343820.407679695 9
 
1.0%
347037.241970286 5
 
0.5%
348305.012648939 4
 
0.4%
337528.698115515 4
 
0.4%
345383.64932829 4
 
0.4%
340424.925495186 3
 
0.3%
344229.073674893 3
 
0.3%
345208.739145982 3
 
0.3%
343588.735554802 3
 
0.3%
342065.696248484 3
 
0.3%
Other values (760) 834
90.7%
(Missing) 45
 
4.9%
ValueCountFrequency (%)
328032.196683725 1
0.1%
328158.321294062 1
0.1%
328501.384301002 1
0.1%
330155.883511209 1
0.1%
330218.927904054 1
0.1%
330266.315821333 1
0.1%
330334.179214972 1
0.1%
330401.663291218 1
0.1%
330431.969134908 1
0.1%
330449.755126746 1
0.1%
ValueCountFrequency (%)
357916.122671764 1
0.1%
356199.413439398 1
0.1%
355939.362329351 1
0.1%
355865.611497639 1
0.1%
355857.357218327 1
0.1%
355852.938233293 1
0.1%
355796.642429989 1
0.1%
355709.244936378 1
0.1%
355691.798565699 1
0.1%
355658.713055312 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct770
Distinct (%)88.0%
Missing45
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean263499.45
Minimum240482.5
Maximum304703.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:54.101261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240482.5
5-th percentile257457.6
Q1261505.4
median263837.31
Q3265534.9
95-th percentile271240.31
Maximum304703.34
Range64220.843
Interquartile range (IQR)4029.5042

Descriptive statistics

Standard deviation4931.8886
Coefficient of variation (CV)0.018716884
Kurtosis13.928442
Mean263499.45
Median Absolute Deviation (MAD)2046.1983
Skewness0.26106559
Sum2.3056202 × 108
Variance24323525
MonotonicityNot monotonic
2024-04-29T21:51:54.242548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.876070282 9
 
1.0%
265407.404336831 5
 
0.5%
259052.290675103 4
 
0.4%
258456.826438156 4
 
0.4%
267901.294823368 4
 
0.4%
263837.312984051 3
 
0.3%
264246.206841204 3
 
0.3%
265385.794067564 3
 
0.3%
264119.010750105 3
 
0.3%
266150.097721689 3
 
0.3%
Other values (760) 834
90.7%
(Missing) 45
 
4.9%
ValueCountFrequency (%)
240482.499847429 1
0.1%
240528.075046159 1
0.1%
240739.938522968 1
0.1%
244467.090015024 1
0.1%
244532.532589328 1
0.1%
244601.257372201 1
0.1%
244660.404545869 1
0.1%
244661.838228877 1
0.1%
244677.227556169 1
0.1%
244677.574372332 1
0.1%
ValueCountFrequency (%)
304703.342649259 1
0.1%
304290.532475799 1
0.1%
273568.291420825 2
0.2%
273108.034714518 1
0.1%
272735.675659876 1
0.1%
272651.408529432 1
0.1%
272642.880399334 1
0.1%
272632.199812717 1
0.1%
272624.325445076 1
0.1%
272609.413405154 1
0.1%

시력표수
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
578 
0
283 
2
 
38
<NA>
 
18
3
 
3

Length

Max length4
Median length1
Mean length1.0586957
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 578
62.8%
0 283
30.8%
2 38
 
4.1%
<NA> 18
 
2.0%
3 3
 
0.3%

Length

2024-04-29T21:51:54.365880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:54.461033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 578
62.8%
0 283
30.8%
2 38
 
4.1%
na 18
 
2.0%
3 3
 
0.3%

표본렌즈수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.7%
Missing42
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean0.92482916
Minimum0
Maximum240
Zeros345
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:54.546592image/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 deviation8.0981042
Coefficient of variation (CV)8.7563245
Kurtosis869.10953
Mean0.92482916
Median Absolute Deviation (MAD)0
Skewness29.406172
Sum812
Variance65.579292
MonotonicityNot monotonic
2024-04-29T21:51:54.654231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 497
54.0%
0 345
37.5%
2 31
 
3.4%
3 3
 
0.3%
4 1
 
0.1%
240 1
 
0.1%
(Missing) 42
 
4.6%
ValueCountFrequency (%)
0 345
37.5%
1 497
54.0%
2 31
 
3.4%
3 3
 
0.3%
4 1
 
0.1%
240 1
 
0.1%
ValueCountFrequency (%)
240 1
 
0.1%
4 1
 
0.1%
3 3
 
0.3%
2 31
 
3.4%
1 497
54.0%
0 345
37.5%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing43
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean0.67388826
Minimum0
Maximum12
Zeros345
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:54.745301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.70769744
Coefficient of variation (CV)1.0501703
Kurtosis74.780949
Mean0.67388826
Median Absolute Deviation (MAD)0
Skewness5.0346549
Sum591
Variance0.50083566
MonotonicityNot monotonic
2024-04-29T21:51:54.855922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 490
53.3%
0 345
37.5%
2 36
 
3.9%
3 3
 
0.3%
4 2
 
0.2%
12 1
 
0.1%
(Missing) 43
 
4.7%
ValueCountFrequency (%)
0 345
37.5%
1 490
53.3%
2 36
 
3.9%
3 3
 
0.3%
4 2
 
0.2%
12 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
4 2
 
0.2%
3 3
 
0.3%
2 36
 
3.9%
1 490
53.3%
0 345
37.5%

동공거리측정기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing19
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.74250832
Minimum0
Maximum10
Zeros283
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:54.946588image/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 deviation0.69941399
Coefficient of variation (CV)0.94196114
Kurtosis68.431432
Mean0.74250832
Median Absolute Deviation (MAD)0
Skewness5.3816676
Sum669
Variance0.48917992
MonotonicityNot monotonic
2024-04-29T21:51:55.037963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 591
64.2%
0 283
30.8%
2 19
 
2.1%
3 5
 
0.5%
10 2
 
0.2%
5 1
 
0.1%
(Missing) 19
 
2.1%
ValueCountFrequency (%)
0 283
30.8%
1 591
64.2%
2 19
 
2.1%
3 5
 
0.5%
5 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
5 1
 
0.1%
3 5
 
0.5%
2 19
 
2.1%
1 591
64.2%
0 283
30.8%

정점굴절계기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing18
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.83259424
Minimum0
Maximum5
Zeros282
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:55.128221image/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 deviation0.72510226
Coefficient of variation (CV)0.87089512
Kurtosis4.4296339
Mean0.83259424
Median Absolute Deviation (MAD)0
Skewness1.2812899
Sum751
Variance0.52577328
MonotonicityNot monotonic
2024-04-29T21:51:55.231606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 520
56.5%
0 282
30.7%
2 78
 
8.5%
3 16
 
1.7%
5 3
 
0.3%
4 3
 
0.3%
(Missing) 18
 
2.0%
ValueCountFrequency (%)
0 282
30.7%
1 520
56.5%
2 78
 
8.5%
3 16
 
1.7%
4 3
 
0.3%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 3
 
0.3%
3 16
 
1.7%
2 78
 
8.5%
1 520
56.5%
0 282
30.7%

조제용연마기수
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
504 
0
347 
<NA>
 
50
2
 
19

Length

Max length4
Median length1
Mean length1.1630435
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
1 504
54.8%
0 347
37.7%
<NA> 50
 
5.4%
2 19
 
2.1%

Length

2024-04-29T21:51:55.342966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:55.449083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 504
54.8%
0 347
37.7%
na 50
 
5.4%
2 19
 
2.1%

렌즈절단기수
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
509 
0
347 
<NA>
 
50
2
 
14

Length

Max length4
Median length1
Mean length1.1630435
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
1 509
55.3%
0 347
37.7%
<NA> 50
 
5.4%
2 14
 
1.5%

Length

2024-04-29T21:51:55.564522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:55.664045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 509
55.3%
0 347
37.7%
na 50
 
5.4%
2 14
 
1.5%

가열기수
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
477 
0
346 
<NA>
51 
2
 
39
3
 
7

Length

Max length4
Median length1
Mean length1.1663043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
1 477
51.8%
0 346
37.6%
<NA> 51
 
5.5%
2 39
 
4.2%
3 7
 
0.8%

Length

2024-04-29T21:51:55.774910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:55.873052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 477
51.8%
0 346
37.6%
na 51
 
5.5%
2 39
 
4.2%
3 7
 
0.8%

안경세척기수
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
468 
0
347 
2
53 
<NA>
 
45
3
 
5

Length

Max length4
Median length1
Mean length1.1467391
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 468
50.9%
0 347
37.7%
2 53
 
5.8%
<NA> 45
 
4.9%
3 5
 
0.5%
4 2
 
0.2%

Length

2024-04-29T21:51:55.985695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:51:56.082164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 468
50.9%
0 347
37.7%
2 53
 
5.8%
na 45
 
4.9%
3 5
 
0.5%
4 2
 
0.2%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct342
Distinct (%)70.2%
Missing433
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean88.720513
Minimum0
Maximum2634.02
Zeros50
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-04-29T21:51:56.203031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138.585
median63.7
Q3102.17
95-th percentile231.568
Maximum2634.02
Range2634.02
Interquartile range (IQR)63.585

Descriptive statistics

Standard deviation141.19667
Coefficient of variation (CV)1.5914772
Kurtosis218.76496
Mean88.720513
Median Absolute Deviation (MAD)32.2
Skewness12.625755
Sum43206.89
Variance19936.501
MonotonicityNot monotonic
2024-04-29T21:51:56.331300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 50
 
5.4%
50.0 7
 
0.8%
59.0 6
 
0.7%
132.0 5
 
0.5%
30.0 4
 
0.4%
66.0 4
 
0.4%
44.0 4
 
0.4%
100.0 4
 
0.4%
48.0 4
 
0.4%
45.0 4
 
0.4%
Other values (332) 395
42.9%
(Missing) 433
47.1%
ValueCountFrequency (%)
0.0 50
5.4%
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%
560.2 1
0.1%
549.18 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%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
01안경업01_02_01_P3410000PHMB2199534100230822000031995-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-9993<NA><NA>대구광역시 중구 덕산동 88 반월당역대구광역시 중구 달구벌대로 지하 2100, 반월당역 지하1층 W119호 (덕산동)41957동아쇼핑금메달안경원2021-03-10 11:13:41I2021-03-12 00:23:00<NA>343820.40768264018.87607100110000<NA>
12안경업01_02_01_P3410000PHMB2202134100230822000012021-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA>053-421-0075<NA><NA>대구광역시 중구 문화동 16-3대구광역시 중구 국채보상로 603, 2층 (문화동)41913아인아이안경2021-03-31 10:35:05I2021-04-02 00:22:59<NA>344130.622525264584.9082911<NA><NA>11<NA><NA><NA><NA>59.4
23안경업01_02_01_P3410000PHMB2202334100230822000012023-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 2446-1대구광역시 중구 남산로 56 (남산동)41970안경 봄2023-10-31 10:15:42I2023-11-02 00:17:43<NA>342891.699172263520.68953210011000088.0
34안경업01_02_01_P3410000PHMB2198434100230822000021984-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA>257-5295<NA>700-804대구광역시 중구 남산동 2120번지 30호대구광역시 중구 명덕로 129 (남산동)41972샛별안경원2023-11-01 18:06:22I2023-11-04 00:17:22<NA>343042.92307262985.1978860000000000.0
45안경업01_02_01_P3410000PHMB2201634100230822000062016-12-05<NA>4취소/말소/만료/정지/중지24직권폐업2018-07-05<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 17번지 11호대구광역시 중구 동성로5길 38 (삼덕동1가)41942렌즈나인동성로점2018-07-04 10:07:28I2018-08-31 23:59:59<NA>344133.106842264211.63252811111<NA><NA><NA>149.5
56안경업01_02_01_P3410000PHMB2200434100230822000042004-12-27<NA>1영업/정상13영업중<NA><NA><NA><NA>421-9140<NA><NA>대구광역시 중구 수창동 173번지 대구역센트럴자이대구광역시 중구 서성로 99 (수창동, 대구역센트럴자이)41915대우안경백화점2021-04-15 11:39:10U2021-04-17 02:40:00<NA>343202.399058265133.447119122121111112.0
67안경업01_02_01_P3410000PHMB2200534100230822000032005-06-17<NA>1영업/정상13영업중<NA><NA><NA><NA>256-4222<NA>700-411대구광역시 중구 삼덕동1가 4번지 7호대구광역시 중구 동성로6길 2-17 (삼덕동1가)41941킴스애드2023-10-27 10:56:28U2023-10-29 02:40:00<NA>344034.143812264290.9241350000000000.0
78안경업01_02_01_P3410000PHMB2200734100230822000052007-05-29<NA>1영업/정상13영업중<NA><NA><NA><NA>431-2525<NA><NA>대구광역시 중구 덕산동 88 반월당역대구광역시 중구 달구벌대로 지하 2100, 반월당역 E-406호 (덕산동)41957아이맥스안경원2021-06-02 17:20:39U2021-06-04 02:40:00<NA>343820.40768264018.87607111111111<NA>
89안경업01_02_01_P3410000PHMB2200834100230822000012008-06-04<NA>1영업/정상13영업중<NA><NA><NA><NA>253-0380<NA>700-727대구광역시 중구 남일동 36번지 1호대구광역시 중구 국채보상로 582 (남일동)41937크로바안경원2009-12-18 12:47:35I2018-08-31 23:59:59<NA>343908.47526264557.544338000000000<NA>
910안경업01_02_01_P3410000PHMB2201334100230822000052013-10-22<NA>1영업/정상13영업중<NA><NA><NA><NA>424-1588<NA>700-411대구광역시 중구 삼덕동1가 31번지 2호대구광역시 중구 동성로3길 12-21 (삼덕동1가)41942플라스틱안경콘텍트2014-12-03 19:38:03I2018-08-31 23:59:59<NA>344265.878557264028.14860911111111130.0
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
910911안경업01_02_01_P3480000PHMB2200534800120822000012005-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA>053-636-6310<NA>711-831대구광역시 달성군 구라리 1735번지 17호대구광역시 달성군 화원읍 비슬로 270742952시선집중안경원2008-12-12 17:24:45I2018-08-31 23:59:59<NA>336509.104091257606.080862111111111<NA>
911912안경업01_02_01_P3480000PHMB2200634800120822000012006-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-5683<NA>711-813대구광역시 달성군 다사읍 서재리 93번지대구광역시 달성군 다사읍 서재로 13542924굿모닝안경·콘택트2008-12-12 17:24:45I2018-08-31 23:59:59<NA>335148.315391264944.804614111111111<NA>
912913안경업01_02_01_P3480000PHMB2200634800120822000022006-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA>053-634-7772<NA>711-832대구광역시 달성군 화원읍 명곡리 105번지 2호대구광역시 달성군 화원읍 명곡로 12-742960미래안경콘택트2008-12-12 17:24:45I2018-08-31 23:59:59<NA>335133.706841256394.26813111111111<NA>
913914안경업01_02_01_P3480000PHMB2200734800120822000022007-12-10<NA>1영업/정상13영업중<NA><NA><NA><NA>053-617-1010<NA>711-714대구광역시 달성군 논공읍 북리 803번지 4호 성원아파트상가(101호,102호)대구광역시 달성군 논공읍 논공로23길 1442980아름다운안경나라2008-12-12 17:24:45I2018-08-31 23:59:59<NA>330573.646469248885.61799111111111<NA>
914915안경업01_02_01_P3480000PHMB2199134800120822000011991-04-10<NA>1영업/정상13영업중<NA><NA><NA><NA>053-631-1885<NA>711-837대구광역시 달성군 천내리 36번지 6호대구광역시 달성군 화원읍 화원로1길 442955골든안경점2008-12-12 17:24:45I2018-08-31 23:59:59<NA>335550.243838257187.498013111111111<NA>
915916안경업01_02_01_P3480000PHMB2199134800120822000021991-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA>053-635-5559<NA>711-837대구광역시 달성군 화원읍 천내리 40번지 10호대구광역시 달성군 화원읍 비슬로 258142955평안당안경원2008-12-12 17:24:45I2018-08-31 23:59:59<NA>335435.166843257024.840329111111111<NA>
916917안경업01_02_01_P3480000PHMB2200934800120822000012009-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>053-588-0545<NA>711-812대구광역시 달성군 다사읍 매곡리 1548번지 2호대구광역시 달성군 다사읍 대실역북로 9<NA>아이프리안경.콘텍트2009-03-17 09:21:20I2018-08-31 23:59:59<NA>332387.88983262989.63424311111111179.77
917918안경업01_02_01_P5141000PHMB2200551400110822000012005-01-27<NA>3폐업3폐업2013-04-22<NA><NA><NA>054-383-1236<NA>716-804대구광역시 군위군 군위읍 서부리 중앙길 108<NA><NA>한빛안경원2013-04-24 15:30:03I2023-07-01 15:23:19<NA><NA><NA>1111111110.0
918919안경업01_02_01_P5141000PHMB2201351400110822000012013-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA>383-1236<NA><NA>대구광역시 군위군 군위읍 서부리 4통대구광역시 군위군 군위읍 중앙길 4943117한빛안경원2013-12-17 17:48:20I2023-07-01 16:42:10<NA>340731.177369304703.34264911121211150.34
919920안경업01_02_01_P5141000PHMB2199251400110822000011992-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-9150<NA>716-804군위군 군위읍 서부리 219대구광역시 군위군 군위읍 중앙길 143118영재안경원2013-12-17 17:46:06I2023-07-01 16:42:10<NA>340961.454238304290.5324761111111110.0