Overview

Dataset statistics

Number of variables38
Number of observations877
Missing cells6396
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory283.6 KiB
Average record size in memory331.2 B

Variable types

Numeric14
Categorical13
Text5
Unsupported5
DateTime1

Dataset

Description6270000_대구광역시_01_02_01_P_안경업_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091957&dataSetDetailId=DDI_0000092006&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업종료일자 is highly imbalanced (86.9%)Imbalance
인허가취소일자 has 877 (100.0%) missing valuesMissing
폐업일자 has 608 (69.3%) missing valuesMissing
휴업시작일자 has 877 (100.0%) missing valuesMissing
재개업일자 has 877 (100.0%) missing valuesMissing
소재지전화 has 196 (22.3%) missing valuesMissing
소재지면적 has 877 (100.0%) missing valuesMissing
소재지우편번호 has 354 (40.4%) missing valuesMissing
소재지전체주소 has 21 (2.4%) missing valuesMissing
도로명전체주소 has 36 (4.1%) missing valuesMissing
도로명우편번호 has 122 (13.9%) missing valuesMissing
업태구분명 has 877 (100.0%) missing valuesMissing
좌표정보(X) has 40 (4.6%) missing valuesMissing
좌표정보(Y) has 40 (4.6%) missing valuesMissing
표본렌즈수 has 45 (5.1%) missing valuesMissing
측정의자수 has 46 (5.2%) missing valuesMissing
동공거리측정기수 has 22 (2.5%) missing valuesMissing
정점굴절계기수 has 20 (2.3%) missing valuesMissing
총면적 has 461 (52.6%) missing valuesMissing
표본렌즈수 is highly skewed (γ1 = 28.64093686)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 303 (34.5%) zerosZeros
측정의자수 has 303 (34.5%) zerosZeros
동공거리측정기수 has 280 (31.9%) zerosZeros
정점굴절계기수 has 280 (31.9%) zerosZeros
총면적 has 17 (1.9%) zerosZeros

Reproduction

Analysis started2024-04-17 15:30:35.661774
Analysis finished2024-04-17 15:30:36.597737
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct877
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean439
Minimum1
Maximum877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:36.652284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile44.8
Q1220
median439
Q3658
95-th percentile833.2
Maximum877
Range876
Interquartile range (IQR)438

Descriptive statistics

Standard deviation253.31239
Coefficient of variation (CV)0.57702139
Kurtosis-1.2
Mean439
Median Absolute Deviation (MAD)219
Skewness0
Sum385003
Variance64167.167
MonotonicityStrictly increasing
2024-04-18T00:30:36.751294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
590 1
 
0.1%
579 1
 
0.1%
580 1
 
0.1%
581 1
 
0.1%
582 1
 
0.1%
583 1
 
0.1%
584 1
 
0.1%
585 1
 
0.1%
586 1
 
0.1%
Other values (867) 867
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 (%)
877 1
0.1%
876 1
0.1%
875 1
0.1%
874 1
0.1%
873 1
0.1%
872 1
0.1%
871 1
0.1%
870 1
0.1%
869 1
0.1%
868 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
안경업
877 

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 877
100.0%

Length

2024-04-18T00:30:36.844970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:36.913715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경업 877
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
01_02_01_P
877 

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 877
100.0%

Length

2024-04-18T00:30:36.992846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:37.062803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_01_p 877
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445621.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:37.126430image/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 deviation22699.806
Coefficient of variation (CV)0.006588015
Kurtosis-1.2564092
Mean3445621.4
Median Absolute Deviation (MAD)20000
Skewness-0.24093769
Sum3.02181 × 109
Variance5.1528118 × 108
MonotonicityIncreasing
2024-04-18T00:30:37.229475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 156
17.8%
3450000 153
17.4%
3460000 139
15.8%
3410000 125
14.3%
3420000 111
12.7%
3430000 69
7.9%
3480000 65
7.4%
3440000 59
 
6.7%
ValueCountFrequency (%)
3410000 125
14.3%
3420000 111
12.7%
3430000 69
7.9%
3440000 59
 
6.7%
3450000 153
17.4%
3460000 139
15.8%
3470000 156
17.8%
3480000 65
7.4%
ValueCountFrequency (%)
3480000 65
7.4%
3470000 156
17.8%
3460000 139
15.8%
3450000 153
17.4%
3440000 59
 
6.7%
3430000 69
7.9%
3420000 111
12.7%
3410000 125
14.3%

관리번호
Text

UNIQUE 

Distinct877
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-04-18T00:30:37.393359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters21925
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

Unique877 ?
Unique (%)100.0%

Sample

1st rowPHMB220073410023082200005
2nd rowPHMB220083410023082200001
3rd rowPHMB220133410023082200005
4th rowPHMB220143410023082200001
5th rowPHMB220143410023082200002
ValueCountFrequency (%)
phmb220073410023082200005 1
 
0.1%
phmb220193460023082200003 1
 
0.1%
phmb220053460023082200008 1
 
0.1%
phmb219933460023082200002 1
 
0.1%
phmb219933460023082200003 1
 
0.1%
phmb220183460023082200001 1
 
0.1%
phmb220183460023082200002 1
 
0.1%
phmb220183460023082200003 1
 
0.1%
phmb220183460023082200004 1
 
0.1%
phmb219823460023082200001 1
 
0.1%
Other values (867) 867
98.9%
2024-04-18T00:30:37.665534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7195
32.8%
2 4843
22.1%
3 1528
 
7.0%
4 1174
 
5.4%
1 1154
 
5.3%
8 1108
 
5.1%
P 877
 
4.0%
H 877
 
4.0%
M 877
 
4.0%
B 877
 
4.0%
Other values (4) 1415
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18417
84.0%
Uppercase Letter 3508
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7195
39.1%
2 4843
26.3%
3 1528
 
8.3%
4 1174
 
6.4%
1 1154
 
6.3%
8 1108
 
6.0%
9 544
 
3.0%
5 305
 
1.7%
6 285
 
1.5%
7 281
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 877
25.0%
H 877
25.0%
M 877
25.0%
B 877
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18417
84.0%
Latin 3508
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7195
39.1%
2 4843
26.3%
3 1528
 
8.3%
4 1174
 
6.4%
1 1154
 
6.3%
8 1108
 
6.0%
9 544
 
3.0%
5 305
 
1.7%
6 285
 
1.5%
7 281
 
1.5%
Latin
ValueCountFrequency (%)
P 877
25.0%
H 877
25.0%
M 877
25.0%
B 877
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7195
32.8%
2 4843
22.1%
3 1528
 
7.0%
4 1174
 
5.4%
1 1154
 
5.3%
8 1108
 
5.1%
P 877
 
4.0%
H 877
 
4.0%
M 877
 
4.0%
B 877
 
4.0%
Other values (4) 1415
 
6.5%

인허가일자
Real number (ℝ)

Distinct813
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20059863
Minimum19700812
Maximum20211229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:37.780224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700812
5-th percentile19880206
Q120000217
median20070703
Q320131213
95-th percentile20200612
Maximum20211229
Range510417
Interquartile range (IQR)130996

Descriptive statistics

Standard deviation96244.462
Coefficient of variation (CV)0.0047978623
Kurtosis-0.075077924
Mean20059863
Median Absolute Deviation (MAD)69706
Skewness-0.56837218
Sum1.75925 × 1010
Variance9.2629965 × 109
MonotonicityNot monotonic
2024-04-18T00:30:37.888617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19901126 6
 
0.7%
20120627 3
 
0.3%
20021119 3
 
0.3%
20140728 3
 
0.3%
20110408 3
 
0.3%
20051116 3
 
0.3%
20060111 2
 
0.2%
20200618 2
 
0.2%
20070115 2
 
0.2%
20060405 2
 
0.2%
Other values (803) 848
96.7%
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 (%)
20211229 1
0.1%
20211208 1
0.1%
20211130 1
0.1%
20211118 1
0.1%
20211115 1
0.1%
20211014 1
0.1%
20211013 1
0.1%
20211007 1
0.1%
20210907 1
0.1%
20210826 2
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing877
Missing (%)100.0%
Memory size7.8 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
1
608 
3
263 
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 (%)
1 608
69.3%
3 263
30.0%
4 6
 
0.7%

Length

2024-04-18T00:30:37.988021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:38.063679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 608
69.3%
3 263
30.0%
4 6
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
영업/정상
608 
폐업
263 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.1619156
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 608
69.3%
폐업 263
30.0%
취소/말소/만료/정지/중지 6
 
0.7%

Length

2024-04-18T00:30:38.147898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:38.225229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 608
69.3%
폐업 263
30.0%
취소/말소/만료/정지/중지 6
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
13
608 
3
263 
24
 
6

Length

Max length2
Median length2
Mean length1.700114
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 608
69.3%
3 263
30.0%
24 6
 
0.7%

Length

2024-04-18T00:30:38.311015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:38.402854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 608
69.3%
3 263
30.0%
24 6
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
영업중
608 
폐업
263 
직권폐업
 
6

Length

Max length4
Median length3
Mean length2.7069555
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 608
69.3%
폐업 263
30.0%
직권폐업 6
 
0.7%

Length

2024-04-18T00:30:38.500885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:38.589255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 608
69.3%
폐업 263
30.0%
직권폐업 6
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct252
Distinct (%)93.7%
Missing608
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean20133686
Minimum19950520
Maximum20210925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:38.694130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950520
5-th percentile20061095
Q120100426
median20130930
Q320171229
95-th percentile20210280
Maximum20210925
Range260405
Interquartile range (IQR)70803

Descriptive statistics

Standard deviation49454.436
Coefficient of variation (CV)0.0024563032
Kurtosis0.85674427
Mean20133686
Median Absolute Deviation (MAD)39292
Skewness-0.56451763
Sum5.4159615 × 109
Variance2.4457412 × 109
MonotonicityNot monotonic
2024-04-18T00:30:38.801494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20091231 4
 
0.5%
20120130 2
 
0.2%
20111109 2
 
0.2%
20100426 2
 
0.2%
20090312 2
 
0.2%
20190213 2
 
0.2%
20101018 2
 
0.2%
20191231 2
 
0.2%
20190227 2
 
0.2%
20090622 2
 
0.2%
Other values (242) 247
28.2%
(Missing) 608
69.3%
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 (%)
20210925 1
0.1%
20210817 1
0.1%
20210729 1
0.1%
20210716 1
0.1%
20210630 1
0.1%
20210629 1
0.1%
20210618 1
0.1%
20210526 1
0.1%
20210507 2
0.2%
20210420 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing877
Missing (%)100.0%
Memory size7.8 KiB

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
861 
99991231
 
16

Length

Max length8
Median length4
Mean length4.0729761
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> 861
98.2%
99991231 16
 
1.8%

Length

2024-04-18T00:30:38.906647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:38.987064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.2%
99991231 16
 
1.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing877
Missing (%)100.0%
Memory size7.8 KiB

소재지전화
Text

MISSING 

Distinct658
Distinct (%)96.6%
Missing196
Missing (%)22.3%
Memory size7.0 KiB
2024-04-18T00:30:39.197229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.284875
Min length7

Characters and Unicode

Total characters7004
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

Unique635 ?
Unique (%)93.2%

Sample

1st row431-2525
2nd row253-0380
3rd row424-1588
4th row053-423-2088
5th row421-6001
ValueCountFrequency (%)
053-621-1155 2
 
0.3%
423-4232 2
 
0.3%
053-423-4232 2
 
0.3%
053-631-4543 2
 
0.3%
053-611-8981 2
 
0.3%
053-743-2002 2
 
0.3%
053-743-6608 2
 
0.3%
053-745-8121 2
 
0.3%
053-661-6514 2
 
0.3%
053-762-2262 2
 
0.3%
Other values (648) 661
97.1%
2024-04-18T00:30:39.523444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1101
15.7%
- 994
14.2%
3 897
12.8%
0 854
12.2%
2 579
8.3%
6 511
7.3%
1 477
6.8%
4 416
 
5.9%
7 407
 
5.8%
8 360
 
5.1%
Other values (3) 408
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5960
85.1%
Dash Punctuation 994
 
14.2%
Close Punctuation 49
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1101
18.5%
3 897
15.1%
0 854
14.3%
2 579
9.7%
6 511
8.6%
1 477
8.0%
4 416
 
7.0%
7 407
 
6.8%
8 360
 
6.0%
9 358
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 994
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1101
15.7%
- 994
14.2%
3 897
12.8%
0 854
12.2%
2 579
8.3%
6 511
7.3%
1 477
6.8%
4 416
 
5.9%
7 407
 
5.8%
8 360
 
5.1%
Other values (3) 408
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1101
15.7%
- 994
14.2%
3 897
12.8%
0 854
12.2%
2 579
8.3%
6 511
7.3%
1 477
6.8%
4 416
 
5.9%
7 407
 
5.8%
8 360
 
5.1%
Other values (3) 408
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing877
Missing (%)100.0%
Memory size7.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)52.0%
Missing354
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean704258.19
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:39.636333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700160
Q1702051.5
median703851
Q3705831
95-th percentile711813
Maximum711891
Range11881
Interquartile range (IQR)3779.5

Descriptive statistics

Standard deviation2982.2839
Coefficient of variation (CV)0.0042346456
Kurtosis0.81756728
Mean704258.19
Median Absolute Deviation (MAD)1829
Skewness0.99481231
Sum3.6832703 × 108
Variance8894017
MonotonicityNot monotonic
2024-04-18T00:30:39.738218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700411 15
 
1.7%
702250 10
 
1.1%
702260 8
 
0.9%
702261 7
 
0.8%
702013 7
 
0.8%
704928 6
 
0.7%
700150 6
 
0.7%
704808 6
 
0.7%
706170 6
 
0.7%
704902 5
 
0.6%
Other values (262) 447
51.0%
(Missing) 354
40.4%
ValueCountFrequency (%)
700010 1
 
0.1%
700040 2
 
0.2%
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
0.3%
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
0.3%
711853 1
 
0.1%
711850 1
 
0.1%
711838 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct819
Distinct (%)95.7%
Missing21
Missing (%)2.4%
Memory size7.0 KiB
2024-04-18T00:30:40.042200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length23.053738
Min length6

Characters and Unicode

Total characters19734
Distinct characters256
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

Unique788 ?
Unique (%)92.1%

Sample

1st row대구광역시 중구 덕산동 88 반월당역
2nd row대구광역시 중구 남일동 36번지 1호
3rd row대구광역시 중구 삼덕동1가 31번지 2호
4th row대구광역시 중구 대신동 182번지 5호
5th row대구광역시 중구 동성로3가 1번지 7호
ValueCountFrequency (%)
대구광역시 831
 
20.0%
달서구 152
 
3.7%
북구 149
 
3.6%
수성구 136
 
3.3%
동구 107
 
2.6%
중구 99
 
2.4%
1호 98
 
2.4%
서구 69
 
1.7%
달성군 61
 
1.5%
남구 58
 
1.4%
Other values (1116) 2400
57.7%
2024-04-18T00:30:40.493270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3325
16.8%
구 1621
 
8.2%
1 1164
 
5.9%
동 961
 
4.9%
대 931
 
4.7%
역 842
 
4.3%
시 842
 
4.3%
광 834
 
4.2%
지 651
 
3.3%
번 607
 
3.1%
Other values (246) 7956
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11680
59.2%
Decimal Number 4413
 
22.4%
Space Separator 3325
 
16.8%
Dash Punctuation 204
 
1.0%
Other Punctuation 37
 
0.2%
Open Punctuation 28
 
0.1%
Close 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 1621
13.9%
동 961
 
8.2%
대 931
 
8.0%
역 842
 
7.2%
시 842
 
7.2%
광 834
 
7.1%
지 651
 
5.6%
번 607
 
5.2%
호 561
 
4.8%
성 286
 
2.4%
Other values (220) 3544
30.3%
Decimal Number
ValueCountFrequency (%)
1 1164
26.4%
2 588
13.3%
3 466
10.6%
0 398
 
9.0%
4 376
 
8.5%
5 358
 
8.1%
6 288
 
6.5%
7 276
 
6.3%
8 258
 
5.8%
9 241
 
5.5%
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 (%)
3325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11680
59.2%
Common 8037
40.7%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1621
13.9%
동 961
 
8.2%
대 931
 
8.0%
역 842
 
7.2%
시 842
 
7.2%
광 834
 
7.1%
지 651
 
5.6%
번 607
 
5.2%
호 561
 
4.8%
성 286
 
2.4%
Other values (220) 3544
30.3%
Common
ValueCountFrequency (%)
3325
41.4%
1 1164
 
14.5%
2 588
 
7.3%
3 466
 
5.8%
0 398
 
5.0%
4 376
 
4.7%
5 358
 
4.5%
6 288
 
3.6%
7 276
 
3.4%
8 258
 
3.2%
Other values (8) 540
 
6.7%
Latin
ValueCountFrequency (%)
C 6
35.3%
B 3
17.6%
A 2
 
11.8%
c 2
 
11.8%
e 1
 
5.9%
F 1
 
5.9%
D 1
 
5.9%
E 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11680
59.2%
ASCII 8054
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3325
41.3%
1 1164
 
14.5%
2 588
 
7.3%
3 466
 
5.8%
0 398
 
4.9%
4 376
 
4.7%
5 358
 
4.4%
6 288
 
3.6%
7 276
 
3.4%
8 258
 
3.2%
Other values (16) 557
 
6.9%
Hangul
ValueCountFrequency (%)
구 1621
13.9%
동 961
 
8.2%
대 931
 
8.0%
역 842
 
7.2%
시 842
 
7.2%
광 834
 
7.1%
지 651
 
5.6%
번 607
 
5.2%
호 561
 
4.8%
성 286
 
2.4%
Other values (220) 3544
30.3%

도로명전체주소
Text

MISSING 

Distinct801
Distinct (%)95.2%
Missing36
Missing (%)4.1%
Memory size7.0 KiB
2024-04-18T00:30:40.788287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length27.159334
Min length15

Characters and Unicode

Total characters22841
Distinct characters297
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

Unique765 ?
Unique (%)91.0%

Sample

1st row대구광역시 중구 달구벌대로 지하 2100, 반월당역 E-406호 (덕산동)
2nd row대구광역시 중구 국채보상로 582 (남일동)
3rd row대구광역시 중구 동성로3길 12-21 (삼덕동1가)
4th row대구광역시 중구 국채보상로 449 (대신동)
5th row대구광역시 중구 중앙대로 395-1 (동성로3가)
ValueCountFrequency (%)
대구광역시 841
 
17.8%
달서구 154
 
3.3%
북구 150
 
3.2%
수성구 136
 
2.9%
동구 110
 
2.3%
중구 108
 
2.3%
1층 104
 
2.2%
달구벌대로 91
 
1.9%
서구 68
 
1.4%
달성군 63
 
1.3%
Other values (1065) 2911
61.5%
2024-04-18T00:30:41.197123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3895
 
17.1%
구 1772
 
7.8%
대 1158
 
5.1%
동 1105
 
4.8%
로 864
 
3.8%
역 863
 
3.8%
시 854
 
3.7%
광 845
 
3.7%
1 830
 
3.6%
( 789
 
3.5%
Other values (287) 9866
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13520
59.2%
Space Separator 3895
 
17.1%
Decimal Number 3356
 
14.7%
Open Punctuation 789
 
3.5%
Close Punctuation 789
 
3.5%
Other Punctuation 379
 
1.7%
Dash Punctuation 84
 
0.4%
Uppercase Letter 22
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1772
 
13.1%
대 1158
 
8.6%
동 1105
 
8.2%
로 864
 
6.4%
역 863
 
6.4%
시 854
 
6.3%
광 845
 
6.2%
성 368
 
2.7%
달 336
 
2.5%
서 276
 
2.0%
Other values (257) 5079
37.6%
Decimal Number
ValueCountFrequency (%)
1 830
24.7%
2 510
15.2%
0 361
10.8%
3 340
10.1%
5 246
 
7.3%
4 244
 
7.3%
6 242
 
7.2%
8 200
 
6.0%
7 198
 
5.9%
9 185
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
22.7%
K 3
13.6%
B 3
13.6%
S 2
 
9.1%
A 2
 
9.1%
F 2
 
9.1%
E 2
 
9.1%
Y 1
 
4.5%
D 1
 
4.5%
W 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 375
98.9%
/ 2
 
0.5%
. 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
3895
100.0%
Open Punctuation
ValueCountFrequency (%)
( 789
100.0%
Close Punctuation
ValueCountFrequency (%)
) 789
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13520
59.2%
Common 9296
40.7%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1772
 
13.1%
대 1158
 
8.6%
동 1105
 
8.2%
로 864
 
6.4%
역 863
 
6.4%
시 854
 
6.3%
광 845
 
6.2%
성 368
 
2.7%
달 336
 
2.5%
서 276
 
2.0%
Other values (257) 5079
37.6%
Common
ValueCountFrequency (%)
3895
41.9%
1 830
 
8.9%
( 789
 
8.5%
) 789
 
8.5%
2 510
 
5.5%
, 375
 
4.0%
0 361
 
3.9%
3 340
 
3.7%
5 246
 
2.6%
4 244
 
2.6%
Other values (8) 917
 
9.9%
Latin
ValueCountFrequency (%)
C 5
20.0%
K 3
12.0%
B 3
12.0%
c 2
 
8.0%
S 2
 
8.0%
A 2
 
8.0%
F 2
 
8.0%
E 2
 
8.0%
Y 1
 
4.0%
e 1
 
4.0%
Other values (2) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13520
59.2%
ASCII 9321
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3895
41.8%
1 830
 
8.9%
( 789
 
8.5%
) 789
 
8.5%
2 510
 
5.5%
, 375
 
4.0%
0 361
 
3.9%
3 340
 
3.6%
5 246
 
2.6%
4 244
 
2.6%
Other values (20) 942
 
10.1%
Hangul
ValueCountFrequency (%)
구 1772
 
13.1%
대 1158
 
8.6%
동 1105
 
8.2%
로 864
 
6.4%
역 863
 
6.4%
시 854
 
6.3%
광 845
 
6.2%
성 368
 
2.7%
달 336
 
2.5%
서 276
 
2.0%
Other values (257) 5079
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct451
Distinct (%)59.7%
Missing122
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean114910.6
Minimum41002
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:41.312885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41144
Q141558.5
median42068
Q342732.5
95-th percentile704905.6
Maximum711873
Range670871
Interquartile range (IQR)1174

Descriptive statistics

Standard deviation207598.34
Coefficient of variation (CV)1.8066074
Kurtosis4.2570884
Mean114910.6
Median Absolute Deviation (MAD)552
Skewness2.4990771
Sum86757503
Variance4.309707 × 1010
MonotonicityNot monotonic
2024-04-18T00:30:41.412676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 14
 
1.6%
41941 10
 
1.1%
42760 9
 
1.0%
41957 9
 
1.0%
41544 8
 
0.9%
41938 7
 
0.8%
41942 7
 
0.8%
41535 6
 
0.7%
41026 6
 
0.7%
42274 5
 
0.6%
Other values (441) 674
76.9%
(Missing) 122
 
13.9%
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

Distinct797
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-04-18T00:30:41.606149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.3489168
Min length1

Characters and Unicode

Total characters6445
Distinct characters388
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

Unique734 ?
Unique (%)83.7%

Sample

1st row아이맥스안경원
2nd row크로바안경원
3rd row플라스틱안경콘텍트
4th rowLA안경원
5th row다비치안경 대구동성로점
ValueCountFrequency (%)
안경원 34
 
3.2%
안경 16
 
1.5%
아이젠트리 12
 
1.1%
안경명가 10
 
0.9%
으뜸플러스안경 9
 
0.8%
으뜸50안경 8
 
0.7%
안경콘택트 7
 
0.7%
안경매니져 7
 
0.7%
오렌즈 5
 
0.5%
상인점 5
 
0.5%
Other values (815) 958
89.4%
2024-04-18T00:30:41.912409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 755
 
11.7%
경 751
 
11.7%
원 352
 
5.5%
점 242
 
3.8%
이 223
 
3.5%
아 208
 
3.2%
트 208
 
3.2%
194
 
3.0%
콘 150
 
2.3%
스 142
 
2.2%
Other values (378) 3220
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5920
91.9%
Space Separator 194
 
3.0%
Decimal Number 100
 
1.6%
Lowercase Letter 61
 
0.9%
Uppercase Letter 56
 
0.9%
Open Punctuation 46
 
0.7%
Close Punctuation 46
 
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 755
 
12.8%
경 751
 
12.7%
원 352
 
5.9%
점 242
 
4.1%
이 223
 
3.8%
아 208
 
3.5%
트 208
 
3.5%
콘 150
 
2.5%
스 142
 
2.4%
택 121
 
2.0%
Other values (331) 2768
46.8%
Lowercase Letter
ValueCountFrequency (%)
e 19
31.1%
s 6
 
9.8%
n 6
 
9.8%
o 6
 
9.8%
l 5
 
8.2%
a 4
 
6.6%
h 3
 
4.9%
c 3
 
4.9%
p 2
 
3.3%
k 2
 
3.3%
Other values (5) 5
 
8.2%
Uppercase Letter
ValueCountFrequency (%)
O 15
26.8%
K 13
23.2%
S 6
 
10.7%
L 5
 
8.9%
E 4
 
7.1%
T 3
 
5.4%
A 2
 
3.6%
D 2
 
3.6%
P 1
 
1.8%
J 1
 
1.8%
Other values (4) 4
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 42
42.0%
1 35
35.0%
5 10
 
10.0%
2 6
 
6.0%
3 3
 
3.0%
7 2
 
2.0%
9 1
 
1.0%
6 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 10
52.6%
& 5
26.3%
· 2
 
10.5%
, 1
 
5.3%
/ 1
 
5.3%
Space Separator
ValueCountFrequency (%)
194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5919
91.8%
Common 408
 
6.3%
Latin 117
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 755
 
12.8%
경 751
 
12.7%
원 352
 
5.9%
점 242
 
4.1%
이 223
 
3.8%
아 208
 
3.5%
트 208
 
3.5%
콘 150
 
2.5%
스 142
 
2.4%
택 121
 
2.0%
Other values (330) 2767
46.7%
Latin
ValueCountFrequency (%)
e 19
16.2%
O 15
12.8%
K 13
11.1%
s 6
 
5.1%
n 6
 
5.1%
S 6
 
5.1%
o 6
 
5.1%
L 5
 
4.3%
l 5
 
4.3%
a 4
 
3.4%
Other values (19) 32
27.4%
Common
ValueCountFrequency (%)
194
47.5%
( 46
 
11.3%
) 46
 
11.3%
0 42
 
10.3%
1 35
 
8.6%
5 10
 
2.5%
. 10
 
2.5%
2 6
 
1.5%
& 5
 
1.2%
3 3
 
0.7%
Other values (8) 11
 
2.7%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5919
91.8%
ASCII 523
 
8.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 755
 
12.8%
경 751
 
12.7%
원 352
 
5.9%
점 242
 
4.1%
이 223
 
3.8%
아 208
 
3.5%
트 208
 
3.5%
콘 150
 
2.5%
스 142
 
2.4%
택 121
 
2.0%
Other values (330) 2767
46.7%
ASCII
ValueCountFrequency (%)
194
37.1%
( 46
 
8.8%
) 46
 
8.8%
0 42
 
8.0%
1 35
 
6.7%
e 19
 
3.6%
O 15
 
2.9%
K 13
 
2.5%
5 10
 
1.9%
. 10
 
1.9%
Other values (36) 93
17.8%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

최종수정시점
Real number (ℝ)

Distinct854
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152485 × 1013
Minimum2.0080925 × 1013
Maximum2.0211229 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:42.025509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080925 × 1013
5-th percentile2.009062 × 1013
Q12.0120621 × 1013
median2.015032 × 1013
Q32.0190227 × 1013
95-th percentile2.0210626 × 1013
Maximum2.0211229 × 1013
Range1.3030417 × 1011
Interquartile range (IQR)6.9605989 × 1010

Descriptive statistics

Standard deviation3.8275482 × 1010
Coefficient of variation (CV)0.0018992934
Kurtosis-1.1566857
Mean2.0152485 × 1013
Median Absolute Deviation (MAD)3.0082991 × 1010
Skewness0.048831948
Sum1.7673729 × 1016
Variance1.4650126 × 1021
MonotonicityNot monotonic
2024-04-18T00:30:42.361560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080925000000 16
 
1.8%
20081212172445 9
 
1.0%
20210602172039 1
 
0.1%
20210707105810 1
 
0.1%
20161025181643 1
 
0.1%
20161025183025 1
 
0.1%
20161025183314 1
 
0.1%
20201218115642 1
 
0.1%
20200303160930 1
 
0.1%
20210914095304 1
 
0.1%
Other values (844) 844
96.2%
ValueCountFrequency (%)
20080925000000 16
1.8%
20081124171519 1
 
0.1%
20081125174418 1
 
0.1%
20081206100704 1
 
0.1%
20081206100705 1
 
0.1%
20081212172445 9
1.0%
20081216132850 1
 
0.1%
20090107103059 1
 
0.1%
20090209142824 1
 
0.1%
20090210165702 1
 
0.1%
ValueCountFrequency (%)
20211229170615 1
0.1%
20211229165630 1
0.1%
20211223154831 1
0.1%
20211216162418 1
0.1%
20211209112625 1
0.1%
20211208181910 1
0.1%
20211206112319 1
0.1%
20211203094554 1
0.1%
20211203094352 1
0.1%
20211125120141 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
I
695 
U
182 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 695
79.2%
U 182
 
20.8%

Length

2024-04-18T00:30:42.456583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:42.539173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 695
79.2%
u 182
 
20.8%

데이터갱신일자
Date

Distinct225
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-12-31 02:40:00
2024-04-18T00:30:42.632751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:30:42.735910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing877
Missing (%)100.0%
Memory size7.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct734
Distinct (%)87.7%
Missing40
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean343025.21
Minimum328032.2
Maximum357916.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:42.833151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328032.2
5-th percentile334441.9
Q1339835.78
median343820.41
Q3346053.19
95-th percentile352929.4
Maximum357916.12
Range29883.926
Interquartile range (IQR)6217.4085

Descriptive statistics

Standard deviation5051.9528
Coefficient of variation (CV)0.014727643
Kurtosis0.42348268
Mean343025.21
Median Absolute Deviation (MAD)3218.6807
Skewness-0.082147973
Sum2.871121 × 108
Variance25522227
MonotonicityNot monotonic
2024-04-18T00:30:42.933995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343820.40768 9
 
1.0%
347037.24197 5
 
0.6%
345383.649328 4
 
0.5%
344047.164924 4
 
0.5%
348305.012649 4
 
0.5%
343932.18838 3
 
0.3%
340507.941598 3
 
0.3%
337528.698116 3
 
0.3%
338508.03969 3
 
0.3%
343588.735555 3
 
0.3%
Other values (724) 796
90.8%
(Missing) 40
 
4.6%
ValueCountFrequency (%)
328032.196684 1
0.1%
328158.321294 1
0.1%
330155.883511 1
0.1%
330235.0 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 (%)
357916.122672 1
0.1%
356199.413439 1
0.1%
355939.362329 1
0.1%
355866.655284 1
0.1%
355857.357218 1
0.1%
355852.938233 1
0.1%
355796.64243 1
0.1%
355691.798566 1
0.1%
355658.713055 1
0.1%
355167.811825 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct733
Distinct (%)87.6%
Missing40
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean263420.09
Minimum240482.5
Maximum273568.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:43.035928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240482.5
5-th percentile257451.93
Q1261532.39
median263837.31
Q3265542.78
95-th percentile270924.93
Maximum273568.29
Range33085.792
Interquartile range (IQR)4010.3908

Descriptive statistics

Standard deviation4476.9517
Coefficient of variation (CV)0.016995483
Kurtosis5.1202125
Mean263420.09
Median Absolute Deviation (MAD)2036.9188
Skewness-1.2941632
Sum2.2048262 × 108
Variance20043097
MonotonicityNot monotonic
2024-04-18T00:30:43.141502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.87607 9
 
1.0%
265407.404337 5
 
0.6%
259052.290675 4
 
0.5%
265132.987974 4
 
0.5%
267901.294823 4
 
0.5%
265385.794068 3
 
0.3%
264119.01075 3
 
0.3%
258645.860959 3
 
0.3%
258456.826438 3
 
0.3%
263806.650258 3
 
0.3%
Other values (723) 796
90.8%
(Missing) 40
 
4.6%
ValueCountFrequency (%)
240482.499847 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 2
0.2%
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 size7.0 KiB
1
538 
0
280 
2
 
35
<NA>
 
21
3
 
3

Length

Max length4
Median length1
Mean length1.0718358
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 538
61.3%
0 280
31.9%
2 35
 
4.0%
<NA> 21
 
2.4%
3 3
 
0.3%

Length

2024-04-18T00:30:43.244280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:43.328507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 538
61.3%
0 280
31.9%
2 35
 
4.0%
na 21
 
2.4%
3 3
 
0.3%

표본렌즈수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.7%
Missing45
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean0.96995192
Minimum0
Maximum240
Zeros303
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:43.400653image/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 deviation8.3164147
Coefficient of variation (CV)8.5740484
Kurtosis824.16942
Mean0.96995192
Median Absolute Deviation (MAD)0
Skewness28.640937
Sum807
Variance69.162754
MonotonicityNot monotonic
2024-04-18T00:30:43.474428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 494
56.3%
0 303
34.5%
2 30
 
3.4%
3 3
 
0.3%
4 1
 
0.1%
240 1
 
0.1%
(Missing) 45
 
5.1%
ValueCountFrequency (%)
0 303
34.5%
1 494
56.3%
2 30
 
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 30
 
3.4%
1 494
56.3%
0 303
34.5%

측정의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing46
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean0.70637786
Minimum0
Maximum12
Zeros303
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:43.548311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.70996029
Coefficient of variation (CV)1.0050715
Kurtosis77.07574
Mean0.70637786
Median Absolute Deviation (MAD)0
Skewness5.1688986
Sum587
Variance0.50404361
MonotonicityNot monotonic
2024-04-18T00:30:43.649148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 486
55.4%
0 303
34.5%
2 36
 
4.1%
3 3
 
0.3%
4 2
 
0.2%
12 1
 
0.1%
(Missing) 46
 
5.2%
ValueCountFrequency (%)
0 303
34.5%
1 486
55.4%
2 36
 
4.1%
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
 
4.1%
1 486
55.4%
0 303
34.5%

동공거리측정기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing22
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean0.72397661
Minimum0
Maximum10
Zeros280
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:43.728765image/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 deviation0.70533139
Coefficient of variation (CV)0.9742461
Kurtosis70.305163
Mean0.72397661
Median Absolute Deviation (MAD)0
Skewness5.5651764
Sum619
Variance0.49749236
MonotonicityNot monotonic
2024-04-18T00:30:43.805945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 555
63.3%
0 280
31.9%
2 12
 
1.4%
3 5
 
0.6%
10 2
 
0.2%
5 1
 
0.1%
(Missing) 22
 
2.5%
ValueCountFrequency (%)
0 280
31.9%
1 555
63.3%
2 12
 
1.4%
3 5
 
0.6%
5 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
5 1
 
0.1%
3 5
 
0.6%
2 12
 
1.4%
1 555
63.3%
0 280
31.9%

정점굴절계기수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing20
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean0.81213536
Minimum0
Maximum5
Zeros280
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:43.881882image/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 deviation0.72565938
Coefficient of variation (CV)0.89352024
Kurtosis4.6905743
Mean0.81213536
Median Absolute Deviation (MAD)0
Skewness1.3321601
Sum696
Variance0.52658153
MonotonicityNot monotonic
2024-04-18T00:30:43.958194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 487
55.5%
0 280
31.9%
2 70
 
8.0%
3 14
 
1.6%
5 3
 
0.3%
4 3
 
0.3%
(Missing) 20
 
2.3%
ValueCountFrequency (%)
0 280
31.9%
1 487
55.5%
2 70
 
8.0%
3 14
 
1.6%
4 3
 
0.3%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 3
 
0.3%
3 14
 
1.6%
2 70
 
8.0%
1 487
55.5%
0 280
31.9%

조제용연마기수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
1
501 
0
304 
<NA>
54 
2
 
18

Length

Max length4
Median length1
Mean length1.1847206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 501
57.1%
0 304
34.7%
<NA> 54
 
6.2%
2 18
 
2.1%

Length

2024-04-18T00:30:44.045909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:44.125000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 501
57.1%
0 304
34.7%
na 54
 
6.2%
2 18
 
2.1%

렌즈절단기수
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
1
505 
0
304 
<NA>
54 
2
 
14

Length

Max length4
Median length1
Mean length1.1847206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 505
57.6%
0 304
34.7%
<NA> 54
 
6.2%
2 14
 
1.6%

Length

2024-04-18T00:30:44.215994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:44.298772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 505
57.6%
0 304
34.7%
na 54
 
6.2%
2 14
 
1.6%

가열기수
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
1
474 
0
304 
<NA>
54 
2
 
38
3
 
7

Length

Max length4
Median length1
Mean length1.1847206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 474
54.0%
0 304
34.7%
<NA> 54
 
6.2%
2 38
 
4.3%
3 7
 
0.8%

Length

2024-04-18T00:30:44.394644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:44.490393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 474
54.0%
0 304
34.7%
na 54
 
6.2%
2 38
 
4.3%
3 7
 
0.8%

안경세척기수
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
1
465 
0
304 
2
52 
<NA>
49 
3
 
5

Length

Max length4
Median length1
Mean length1.1676169
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 465
53.0%
0 304
34.7%
2 52
 
5.9%
<NA> 49
 
5.6%
3 5
 
0.6%
4 2
 
0.2%

Length

2024-04-18T00:30:44.576829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:30:44.663610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 465
53.0%
0 304
34.7%
2 52
 
5.9%
na 49
 
5.6%
3 5
 
0.6%
4 2
 
0.2%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct316
Distinct (%)76.0%
Missing461
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean92.954543
Minimum0
Maximum2634.02
Zeros17
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-18T00:30:44.762760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.2875
Q144
median66.3
Q3105.6075
95-th percentile230.14
Maximum2634.02
Range2634.02
Interquartile range (IQR)61.6075

Descriptive statistics

Standard deviation145.68201
Coefficient of variation (CV)1.5672392
Kurtosis224.53149
Mean92.954543
Median Absolute Deviation (MAD)30.345
Skewness13.21857
Sum38669.09
Variance21223.248
MonotonicityNot monotonic
2024-04-18T00:30:44.868617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
1.9%
50.0 6
 
0.7%
59.0 6
 
0.7%
100.0 4
 
0.5%
99.0 4
 
0.5%
44.0 4
 
0.5%
132.0 4
 
0.5%
30.0 4
 
0.5%
19.0 3
 
0.3%
45.0 3
 
0.3%
Other values (306) 361
41.2%
(Missing) 461
52.6%
ValueCountFrequency (%)
0.0 17
1.9%
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

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
01안경업01_02_01_P3410000PHMB22007341002308220000520070529<NA>1영업/정상13영업중<NA><NA><NA><NA>431-2525<NA><NA>대구광역시 중구 덕산동 88 반월당역대구광역시 중구 달구벌대로 지하 2100, 반월당역 E-406호 (덕산동)41957아이맥스안경원20210602172039U2021-06-04 02:40:00.0<NA>343820.40768264018.87607111111111<NA>
12안경업01_02_01_P3410000PHMB22008341002308220000120080604<NA>1영업/정상13영업중<NA><NA><NA><NA>253-0380<NA>700727대구광역시 중구 남일동 36번지 1호대구광역시 중구 국채보상로 582 (남일동)41937크로바안경원20091218124735I2018-08-31 23:59:59.0<NA>343908.47526264557.544338000000000<NA>
23안경업01_02_01_P3410000PHMB22013341002308220000520131022<NA>1영업/정상13영업중<NA><NA><NA><NA>424-1588<NA>700411대구광역시 중구 삼덕동1가 31번지 2호대구광역시 중구 동성로3길 12-21 (삼덕동1가)41942플라스틱안경콘텍트20141203193803I2018-08-31 23:59:59.0<NA>344265.878557264028.14860911111111130.0
34안경업01_02_01_P3410000PHMB22014341002308220000120140314<NA>1영업/정상13영업중<NA><NA><NA><NA>053-423-2088<NA>700815대구광역시 중구 대신동 182번지 5호대구광역시 중구 국채보상로 449 (대신동)41925LA안경원20210615152546U2021-06-17 02:40:00.0<NA>342613.235134264528.69842411111111181.03
45안경업01_02_01_P3410000PHMB22014341002308220000220140314<NA>1영업/정상13영업중<NA><NA><NA><NA>421-6001<NA>700093대구광역시 중구 동성로3가 1번지 7호대구광역시 중구 중앙대로 395-1 (동성로3가)41935다비치안경 대구동성로점20150102110342I2018-08-31 23:59:59.0<NA>343836.393509264312.36547111111111205.3
56안경업01_02_01_P3410000PHMB22014341002308220000320140618<NA>1영업/정상13영업중<NA><NA><NA><NA>252-5522<NA>700070덕산동 88번지 메트로센터 c218, c219대구광역시 중구 달구벌대로 지하 2100, 메트로센터 c218, c219동 (덕산동)41957오렌즈반월당20210923153207U2021-09-25 02:40:00.0<NA>343820.40768264018.8760711111111145.0
67안경업01_02_01_P3410000PHMB22015341002308220000120150323<NA>1영업/정상13영업중<NA><NA><NA><NA>255-1423<NA>700150대구광역시 중구 공평동 30번지 1호대구광역시 중구 동성로6길 19 (공평동)41938렌즈미동성로점20150324100946I2018-08-31 23:59:59.0<NA>344118.883045264379.26883711111111127.0
78안경업01_02_01_P3410000PHMB22015341002308220000320150325<NA>1영업/정상13영업중<NA><NA><NA><NA>428-0222<NA>700411대구광역시 중구 삼덕동1가 17번지 8호대구광역시 중구 동성로5길 46 (삼덕동1가)41942세컨페이스동성로점20150326150214I2018-08-31 23:59:59.0<NA>344168.944868264204.44356711112222143.0
89안경업01_02_01_P3410000PHMB22015341002308220000420150330<NA>1영업/정상13영업중<NA><NA><NA><NA>252-5150<NA><NA>대구광역시 중구 공평동 25번지 11호대구광역시 중구 동성로6길 21, 1,2층 (공평동)41938아이디어안경원20190125152153U2019-01-27 02:40:00.0<NA>344128.741444264382.091882221131122134.0
910안경업01_02_01_P3410000PHMB22015341002308220000520150721<NA>1영업/정상13영업중<NA><NA><NA><NA>423-9002<NA>700070대구광역시 중구 덕산동 125번지 9호대구광역시 중구 중앙대로 376 (덕산동)41943글라스바바안경반월당점20200630102250U2020-07-02 02:40:00.0<NA>343865.861964264107.985514333151132270.0
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)시력표수표본렌즈수측정의자수동공거리측정기수정점굴절계기수조제용연마기수렌즈절단기수가열기수안경세척기수총면적
867868안경업01_02_01_P3480000PHMB22006348001208220000220061128<NA>1영업/정상13영업중<NA><NA><NA><NA>053-634-7772<NA>711832대구광역시 달성군 화원읍 명곡리 105번지 2호대구광역시 달성군 화원읍 명곡로 12-742960미래안경콘택트20081212172445I2018-08-31 23:59:59.0<NA>335133.70684256394.26813111111111<NA>
868869안경업01_02_01_P3480000PHMB22007348001208220000220071210<NA>1영업/정상13영업중<NA><NA><NA><NA>053-617-1010<NA>711714대구광역시 달성군 논공읍 북리 803번지 4호 성원아파트상가(101호,102호)대구광역시 달성군 논공읍 논공로23길 1442980아름다운안경나라20081212172445I2018-08-31 23:59:59.0<NA>330573.646469248885.61799111111111<NA>
869870안경업01_02_01_P3480000PHMB21991348001208220000119910410<NA>1영업/정상13영업중<NA><NA><NA><NA>053-631-1885<NA>711837대구광역시 달성군 천내리 36번지 6호대구광역시 달성군 화원읍 화원로1길 442955골든안경점20081212172445I2018-08-31 23:59:59.0<NA>335550.243838257187.498013111111111<NA>
870871안경업01_02_01_P3480000PHMB21991348001208220000219910809<NA>1영업/정상13영업중<NA><NA><NA><NA>053-635-5559<NA>711837대구광역시 달성군 화원읍 천내리 40번지 10호대구광역시 달성군 화원읍 비슬로 258142955평안당안경원20081212172445I2018-08-31 23:59:59.0<NA>335435.166843257024.840329111111111<NA>
871872안경업01_02_01_P3480000PHMB22009348001208220000120090312<NA>1영업/정상13영업중<NA><NA><NA><NA>053-588-0545<NA>711812대구광역시 달성군 다사읍 매곡리 1548번지 2호대구광역시 달성군 다사읍 대실역북로 9<NA>아이프리안경.콘텍트20090317092120I2018-08-31 23:59:59.0<NA>332387.88983262989.63424311111111179.77
872873안경업01_02_01_P3480000PHMB22009348001208220000220091124<NA>1영업/정상13영업중<NA><NA><NA><NA>567-3777<NA>711787대구광역시 달성군 다사읍 매곡리 473번지 40통 다사e 편한세상 102동 203호대구광역시 달성군 다사읍 다사역로 60, 102동 203호 (다사e 편한세상)42909무극안경.콘택트20091124183807I2018-08-31 23:59:59.0<NA>331550.638998264131.547202121111111102.47
873874안경업01_02_01_P3480000PHMB22019348001208220000420191224<NA>1영업/정상13영업중<NA><NA><NA><NA>053-710-5950<NA><NA>대구광역시 달성군 유가읍 봉리 608번지대구광역시 달성군 유가읍 테크노상업로 96, 103호43018으뜸플러스 대구현풍점20191224163929I2019-12-26 00:23:25.0<NA>332067.0244696.011111111152.92
874875안경업01_02_01_P3480000PHMB22021348001208220000320211013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 달구벌대로 88042918오렌즈 죽곡점20211013143714I2021-10-15 00:22:46.0<NA>332245.0262925.010011000051.18
875876안경업01_02_01_P3480000PHMB22020348001208220000120200818<NA>1영업/정상13영업중<NA><NA><NA><NA>053-626-0222<NA><NA>대구광역시 달성군 화원읍 천내리 918 화원이진캐스빌대구광역시 달성군 화원읍 비슬로 2545, 110동 2층 209호 (화원이진캐스빌)42947윤선생안경원20200819175942I2020-08-21 00:23:14.0<NA>335089.0256876.01<NA><NA>11<NA><NA><NA><NA>39.75
876877안경업01_02_01_P3480000PHMB22021348001208220000120210715<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-3332<NA><NA><NA>대구광역시 달성군 구지면 국가산단북로60길 59, 131동 114호 (대구국가산단 반도유보라 아이비파크 2)43008이노티안경(구지점)20210715135144I2021-07-17 00:22:52.0<NA><NA><NA>10011000033.6