Overview

Dataset statistics

Number of variables29
Number of observations25
Missing cells225
Missing cells (%)31.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory257.1 B

Variable types

Numeric7
Categorical11
Unsupported8
Text3

Dataset

Description22년05월_6270000_대구광역시_07_22_16_P_용기냉동기특정설비
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093418&dataSetDetailId=DDI_0000093462&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
재개업일자 is highly imbalanced (69.6%)Imbalance
도로명우편번호 is highly imbalanced (52.4%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 17 (68.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
소재지전화 has 25 (100.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
소재지우편번호 has 25 (100.0%) missing valuesMissing
소재지전체주소 has 3 (12.0%) missing valuesMissing
도로명전체주소 has 5 (20.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
설비규격 has 25 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지전화 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
소재지우편번호 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
설비규격 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 21:49:57.734616
Analysis finished2024-04-21 21:49:58.165043
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-04-22T06:49:58.272579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-04-22T06:49:58.491158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
용기냉동기특정설비
25 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용기냉동기특정설비 25
100.0%

Length

2024-04-22T06:49:58.711378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:49:58.868287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용기냉동기특정설비 25
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
07_22_16_P
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_16_P
2nd row07_22_16_P
3rd row07_22_16_P
4th row07_22_16_P
5th row07_22_16_P

Common Values

ValueCountFrequency (%)
07_22_16_P 25
100.0%

Length

2024-04-22T06:49:59.035444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:49:59.196178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_16_p 25
100.0%

개방자치단체코드
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
3450000
9 
3480000
7 
3470000
6 
3420000
2 
3430000
1 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row3420000
2nd row3420000
3rd row3430000
4th row3450000
5th row3450000

Common Values

ValueCountFrequency (%)
3450000 9
36.0%
3480000 7
28.0%
3470000 6
24.0%
3420000 2
 
8.0%
3430000 1
 
4.0%

Length

2024-04-22T06:49:59.364978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:49:59.551436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3450000 9
36.0%
3480000 7
28.0%
3470000 6
24.0%
3420000 2
 
8.0%
3430000 1
 
4.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.012746 × 1018
Minimum2.003347 × 1018
Maximum2.021348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-04-22T06:49:59.755783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003347 × 1018
5-th percentile2.0053456 × 1018
Q12.007345 × 1018
median2.012348 × 1018
Q32.018347 × 1018
95-th percentile2.021148 × 1018
Maximum2.021348 × 1018
Range1.8001025 × 1016
Interquartile range (IQR)1.1002008 × 1016

Descriptive statistics

Standard deviation5.8453364 × 1015
Coefficient of variation (CV)0.00290416
Kurtosis-1.3331901
Mean2.012746 × 1018
Median Absolute Deviation (MAD)5.9989868 × 1015
Skewness0.066090001
Sum-5.0215818 × 1018
Variance3.4167958 × 1031
MonotonicityNot monotonic
2024-04-22T06:49:59.985008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2006342013516500001 1
 
4.0%
2016342013516500001 1
 
4.0%
2005348028916500001 1
 
4.0%
2020348036516500001 1
 
4.0%
2012348031216500001 1
 
4.0%
2009348029116500001 1
 
4.0%
2005348028916500003 1
 
4.0%
2021348036516500001 1
 
4.0%
2021348036516500002 1
 
4.0%
2010347012416500001 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
2003347011716500000 1
4.0%
2005345009916500001 1
4.0%
2005348028916500001 1
4.0%
2005348028916500003 1
4.0%
2006342013516500001 1
4.0%
2006345009916500001 1
4.0%
2007345009916500001 1
4.0%
2009347011716500001 1
4.0%
2009348029116500001 1
4.0%
2010345009916500001 1
4.0%
ValueCountFrequency (%)
2021348036516500002 1
4.0%
2021348036516500001 1
4.0%
2020348036516500001 1
4.0%
2020345016016500002 1
4.0%
2020345016016500001 1
4.0%
2019347018016500001 1
4.0%
2018347018016500001 1
4.0%
2016342013516500001 1
4.0%
2015343009516500017 1
4.0%
2014345009916500002 1
4.0%

인허가일자
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113110
Minimum19870330
Maximum20211028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-04-22T06:50:00.214606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870330
5-th percentile20032554
Q120060621
median20120522
Q320181029
95-th percentile20208907
Maximum20211028
Range340698
Interquartile range (IQR)120408

Descriptive statistics

Standard deviation77620.978
Coefficient of variation (CV)0.0038592231
Kurtosis2.5167596
Mean20113110
Median Absolute Deviation (MAD)60412
Skewness-1.0946412
Sum5.0282775 × 108
Variance6.0250162 × 109
MonotonicityNot monotonic
2024-04-22T06:50:00.433976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20200521 2
 
8.0%
20140718 2
 
8.0%
20060110 1
 
4.0%
20191101 1
 
4.0%
20050428 1
 
4.0%
20201210 1
 
4.0%
20120522 1
 
4.0%
20091223 1
 
4.0%
20040315 1
 
4.0%
20210831 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
19870330 1
4.0%
20030614 1
4.0%
20040315 1
4.0%
20050428 1
4.0%
20051121 1
4.0%
20060110 1
4.0%
20060621 1
4.0%
20070202 1
4.0%
20090908 1
4.0%
20091223 1
4.0%
ValueCountFrequency (%)
20211028 1
4.0%
20210831 1
4.0%
20201210 1
4.0%
20200521 2
8.0%
20191101 1
4.0%
20181029 1
4.0%
20160811 1
4.0%
20140718 2
8.0%
20130429 1
4.0%
20121115 1
4.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
1
17 
3
8 

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 17
68.0%
3 8
32.0%

Length

2024-04-22T06:50:00.654409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:00.818734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
68.0%
3 8
32.0%

영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
영업/정상
17 
폐업
8 

Length

Max length5
Median length5
Mean length4.04
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 17
68.0%
폐업 8
32.0%

Length

2024-04-22T06:50:01.007576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:01.190748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
68.0%
폐업 8
32.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
1
17 
3
8 

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 17
68.0%
3 8
32.0%

Length

2024-04-22T06:50:01.366518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:01.528318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
68.0%
3 8
32.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
영업중
17 
폐업
8 

Length

Max length3
Median length3
Mean length2.68
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 17
68.0%
폐업 8
32.0%

Length

2024-04-22T06:50:01.716211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:01.890542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 17
68.0%
폐업 8
32.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing17
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean20158285
Minimum20120409
Maximum20201101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-04-22T06:50:02.050141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120409
5-th percentile20120546
Q120135516
median20160704
Q320171094
95-th percentile20201073
Maximum20201101
Range80692
Interquartile range (IQR)35577.5

Descriptive statistics

Standard deviation31254.676
Coefficient of variation (CV)0.001550463
Kurtosis-1.0087477
Mean20158285
Median Absolute Deviation (MAD)30093
Skewness0.27380934
Sum1.6126628 × 108
Variance9.7685475 × 108
MonotonicityNot monotonic
2024-04-22T06:50:02.262655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20160704 2
 
8.0%
20120409 1
 
4.0%
20201020 1
 
4.0%
20201101 1
 
4.0%
20140421 1
 
4.0%
20161118 1
 
4.0%
20120801 1
 
4.0%
(Missing) 17
68.0%
ValueCountFrequency (%)
20120409 1
4.0%
20120801 1
4.0%
20140421 1
4.0%
20160704 2
8.0%
20161118 1
4.0%
20201020 1
4.0%
20201101 1
4.0%
ValueCountFrequency (%)
20201101 1
4.0%
20201020 1
4.0%
20161118 1
4.0%
20160704 2
8.0%
20140421 1
4.0%
20120801 1
4.0%
20120409 1
4.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
<NA>
23 
20150108
 
1
20110915
 
1

Length

Max length8
Median length4
Mean length4.32
Min length4

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
92.0%
20150108 1
 
4.0%
20110915 1
 
4.0%

Length

2024-04-22T06:50:02.511920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:02.696656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
20150108 1
 
4.0%
20110915 1
 
4.0%

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

소재지전체주소
Text

MISSING 

Distinct18
Distinct (%)81.8%
Missing3
Missing (%)12.0%
Memory size328.0 B
2024-04-22T06:50:03.225795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.5
Min length17

Characters and Unicode

Total characters473
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)63.6%

Sample

1st row대구광역시 북구 검단동 700-15 1동
2nd row대구광역시 북구 검단동 700-15 1동
3rd row대구광역시 북구 침산동 791
4th row대구광역시 북구 침산동 791
5th row대구광역시 북구 검단동 887-85
ValueCountFrequency (%)
대구광역시 22
22.7%
북구 9
 
9.3%
달성군 7
 
7.2%
달서구 6
 
6.2%
검단동 6
 
6.2%
논공읍 5
 
5.2%
본리리 4
 
4.1%
침산동 3
 
3.1%
777-58 2
 
2.1%
세천리 2
 
2.1%
Other values (26) 31
32.0%
2024-04-22T06:50:04.070956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
20.5%
구 37
 
7.8%
대 22
 
4.7%
광 22
 
4.7%
역 22
 
4.7%
시 22
 
4.7%
1 20
 
4.2%
7 20
 
4.2%
- 20
 
4.2%
동 17
 
3.6%
Other values (34) 174
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
53.7%
Decimal Number 102
21.6%
Space Separator 97
 
20.5%
Dash Punctuation 20
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 37
14.6%
대 22
 
8.7%
광 22
 
8.7%
역 22
 
8.7%
시 22
 
8.7%
동 17
 
6.7%
달 13
 
5.1%
리 11
 
4.3%
북 10
 
3.9%
군 7
 
2.8%
Other values (22) 71
28.0%
Decimal Number
ValueCountFrequency (%)
1 20
19.6%
7 20
19.6%
8 14
13.7%
0 13
12.7%
9 9
8.8%
5 8
 
7.8%
2 7
 
6.9%
6 7
 
6.9%
4 2
 
2.0%
3 2
 
2.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
53.7%
Common 219
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 37
14.6%
대 22
 
8.7%
광 22
 
8.7%
역 22
 
8.7%
시 22
 
8.7%
동 17
 
6.7%
달 13
 
5.1%
리 11
 
4.3%
북 10
 
3.9%
군 7
 
2.8%
Other values (22) 71
28.0%
Common
ValueCountFrequency (%)
97
44.3%
1 20
 
9.1%
7 20
 
9.1%
- 20
 
9.1%
8 14
 
6.4%
0 13
 
5.9%
9 9
 
4.1%
5 8
 
3.7%
2 7
 
3.2%
6 7
 
3.2%
Other values (2) 4
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
53.7%
ASCII 219
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
44.3%
1 20
 
9.1%
7 20
 
9.1%
- 20
 
9.1%
8 14
 
6.4%
0 13
 
5.9%
9 9
 
4.1%
5 8
 
3.7%
2 7
 
3.2%
6 7
 
3.2%
Other values (2) 4
 
1.8%
Hangul
ValueCountFrequency (%)
구 37
14.6%
대 22
 
8.7%
광 22
 
8.7%
역 22
 
8.7%
시 22
 
8.7%
동 17
 
6.7%
달 13
 
5.1%
리 11
 
4.3%
북 10
 
3.9%
군 7
 
2.8%
Other values (22) 71
28.0%

도로명전체주소
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing5
Missing (%)20.0%
Memory size328.0 B
2024-04-22T06:50:04.808721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length24.95
Min length22

Characters and Unicode

Total characters499
Distinct characters58
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)80.0%

Sample

1st row대구광역시 동구 안심로59길 8 (각산동)
2nd row대구광역시 동구 안심로59길 13 (동호동)
3rd row대구광역시 서구 팔달로2길 29 (비산동)
4th row대구광역시 북구 검단동로 45, 1동 (검단동)
5th row대구광역시 북구 침산로 285 (침산동)
ValueCountFrequency (%)
대구광역시 20
 
18.7%
북구 8
 
7.5%
달성군 6
 
5.6%
검단동 5
 
4.7%
논공읍 4
 
3.7%
달서구 3
 
2.8%
침산로 3
 
2.8%
침산동 3
 
2.8%
검단동로 3
 
2.8%
논공중앙로 2
 
1.9%
Other values (42) 50
46.7%
2024-04-22T06:50:05.974689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
18.2%
구 34
 
6.8%
동 22
 
4.4%
로 21
 
4.2%
대 21
 
4.2%
시 20
 
4.0%
역 20
 
4.0%
광 20
 
4.0%
1 14
 
2.8%
( 14
 
2.8%
Other values (48) 222
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
61.7%
Space Separator 91
 
18.2%
Decimal Number 64
 
12.8%
Open Punctuation 14
 
2.8%
Close Punctuation 14
 
2.8%
Other Punctuation 6
 
1.2%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 34
 
11.0%
동 22
 
7.1%
로 21
 
6.8%
대 21
 
6.8%
시 20
 
6.5%
역 20
 
6.5%
광 20
 
6.5%
단 13
 
4.2%
검 12
 
3.9%
달 11
 
3.6%
Other values (33) 114
37.0%
Decimal Number
ValueCountFrequency (%)
1 14
21.9%
5 10
15.6%
2 7
10.9%
9 6
9.4%
7 6
9.4%
8 6
9.4%
4 6
9.4%
3 3
 
4.7%
6 3
 
4.7%
0 3
 
4.7%
Space Separator
ValueCountFrequency (%)
91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
61.7%
Common 191
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 34
 
11.0%
동 22
 
7.1%
로 21
 
6.8%
대 21
 
6.8%
시 20
 
6.5%
역 20
 
6.5%
광 20
 
6.5%
단 13
 
4.2%
검 12
 
3.9%
달 11
 
3.6%
Other values (33) 114
37.0%
Common
ValueCountFrequency (%)
91
47.6%
1 14
 
7.3%
( 14
 
7.3%
) 14
 
7.3%
5 10
 
5.2%
2 7
 
3.7%
9 6
 
3.1%
7 6
 
3.1%
, 6
 
3.1%
8 6
 
3.1%
Other values (5) 17
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
61.7%
ASCII 191
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
47.6%
1 14
 
7.3%
( 14
 
7.3%
) 14
 
7.3%
5 10
 
5.2%
2 7
 
3.7%
9 6
 
3.1%
7 6
 
3.1%
, 6
 
3.1%
8 6
 
3.1%
Other values (5) 17
 
8.9%
Hangul
ValueCountFrequency (%)
구 34
 
11.0%
동 22
 
7.1%
로 21
 
6.8%
대 21
 
6.8%
시 20
 
6.5%
역 20
 
6.5%
광 20
 
6.5%
단 13
 
4.2%
검 12
 
3.9%
달 11
 
3.6%
Other values (33) 114
37.0%

도로명우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
<NA>
20 
42921
 
2
41510
 
1
41508
 
1
42712
 
1

Length

Max length5
Median length4
Mean length4.2
Min length4

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row41510
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
80.0%
42921 2
 
8.0%
41510 1
 
4.0%
41508 1
 
4.0%
42712 1
 
4.0%

Length

2024-04-22T06:50:06.385967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:06.706946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
80.0%
42921 2
 
8.0%
41510 1
 
4.0%
41508 1
 
4.0%
42712 1
 
4.0%

사업장명
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-04-22T06:50:07.330005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.64
Min length5

Characters and Unicode

Total characters191
Distinct characters61
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)52.0%

Sample

1st row(주)케이·피·씨
2nd row(주)케이·피·씨
3rd row화성밸브(주)
4th row(주)미래에너지
5th row(주)미래에너지
ValueCountFrequency (%)
주)덕산코트랜 3
 
11.1%
주)케이·피·씨 2
 
7.4%
주)이노컴 2
 
7.4%
성서공장 2
 
7.4%
미래에너지 2
 
7.4%
주)미래에너지 2
 
7.4%
주)삼창이엔지 2
 
7.4%
주)대정밸브 1
 
3.7%
주)금강밸브 1
 
3.7%
주)카이오에너지 1
 
3.7%
Other values (9) 9
33.3%
2024-04-22T06:50:08.465826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 22
 
11.5%
) 22
 
11.5%
주 22
 
11.5%
이 8
 
4.2%
지 7
 
3.7%
에 6
 
3.1%
너 5
 
2.6%
트 4
 
2.1%
· 4
 
2.1%
래 4
 
2.1%
Other values (51) 87
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
72.3%
Open Punctuation 22
 
11.5%
Close Punctuation 22
 
11.5%
Other Punctuation 4
 
2.1%
Uppercase Letter 3
 
1.6%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
15.9%
이 8
 
5.8%
지 7
 
5.1%
에 6
 
4.3%
너 5
 
3.6%
트 4
 
2.9%
래 4
 
2.9%
미 4
 
2.9%
공 4
 
2.9%
성 4
 
2.9%
Other values (44) 70
50.7%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
· 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
72.3%
Common 50
 
26.2%
Latin 3
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
15.9%
이 8
 
5.8%
지 7
 
5.1%
에 6
 
4.3%
너 5
 
3.6%
트 4
 
2.9%
래 4
 
2.9%
미 4
 
2.9%
공 4
 
2.9%
성 4
 
2.9%
Other values (44) 70
50.7%
Common
ValueCountFrequency (%)
( 22
44.0%
) 22
44.0%
· 4
 
8.0%
2
 
4.0%
Latin
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138
72.3%
ASCII 49
 
25.7%
None 4
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 22
44.9%
) 22
44.9%
2
 
4.1%
G 1
 
2.0%
N 1
 
2.0%
E 1
 
2.0%
Hangul
ValueCountFrequency (%)
주 22
 
15.9%
이 8
 
5.8%
지 7
 
5.1%
에 6
 
4.3%
너 5
 
3.6%
트 4
 
2.9%
래 4
 
2.9%
미 4
 
2.9%
공 4
 
2.9%
성 4
 
2.9%
Other values (44) 70
50.7%
None
ValueCountFrequency (%)
· 4
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0163889 × 1013
Minimum2.0080123 × 1013
Maximum2.0211125 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-04-22T06:50:08.856833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080123 × 1013
5-th percentile2.0084183 × 1013
Q12.0131126 × 1013
median2.0160811 × 1013
Q32.020071 × 1013
95-th percentile2.0210905 × 1013
Maximum2.0211125 × 1013
Range1.3100199 × 1011
Interquartile range (IQR)6.9583914 × 1010

Descriptive statistics

Standard deviation4.0629891 × 1010
Coefficient of variation (CV)0.0020149829
Kurtosis-0.49832547
Mean2.0163889 × 1013
Median Absolute Deviation (MAD)3.9892066 × 1010
Skewness-0.67079794
Sum5.0409722 × 1014
Variance1.650788 × 1021
MonotonicityNot monotonic
2024-04-22T06:50:09.276139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20160810134204 1
 
4.0%
20160811104640 1
 
4.0%
20131126191445 1
 
4.0%
20210830110702 1
 
4.0%
20131126191002 1
 
4.0%
20180125142600 1
 
4.0%
20131126191151 1
 
4.0%
20210923154313 1
 
4.0%
20211125163154 1
 
4.0%
20200806093127 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
20080123174020 1
4.0%
20080123175306 1
4.0%
20100421094058 1
4.0%
20120409161607 1
4.0%
20131126191002 1
4.0%
20131126191151 1
4.0%
20131126191445 1
4.0%
20140421154453 1
4.0%
20160325144035 1
4.0%
20160705154003 1
4.0%
ValueCountFrequency (%)
20211125163154 1
4.0%
20210923154313 1
4.0%
20210830110702 1
4.0%
20201109164843 1
4.0%
20201022102124 1
4.0%
20200806093127 1
4.0%
20200710105717 1
4.0%
20200710105657 1
4.0%
20200703170452 1
4.0%
20190213105020 1
4.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
I
15 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 15
60.0%
U 10
40.0%

Length

2024-04-22T06:50:09.679559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:09.978440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 15
60.0%
u 10
40.0%

데이터갱신일자
Categorical

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2018-08-31 23:59:59.0
15 
2020-07-14 02:40:00.0
2 
2020-07-05 02:40:00.0
 
1
2019-02-15 02:40:00.0
 
1
2020-10-24 02:40:00.0
 
1
Other values (5)
5 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2020-07-14 02:40:00.0
5th row2020-07-14 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 15
60.0%
2020-07-14 02:40:00.0 2
 
8.0%
2020-07-05 02:40:00.0 1
 
4.0%
2019-02-15 02:40:00.0 1
 
4.0%
2020-10-24 02:40:00.0 1
 
4.0%
2020-11-11 02:40:00.0 1
 
4.0%
2020-08-08 02:40:00.0 1
 
4.0%
2021-11-27 02:40:00.0 1
 
4.0%
2021-09-25 02:40:00.0 1
 
4.0%
2021-09-01 02:40:00.0 1
 
4.0%

Length

2024-04-22T06:50:10.310055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:50:10.651811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 15
30.0%
23:59:59.0 15
30.0%
02:40:00.0 10
20.0%
2020-07-14 2
 
4.0%
2020-07-05 1
 
2.0%
2019-02-15 1
 
2.0%
2020-10-24 1
 
2.0%
2020-11-11 1
 
2.0%
2020-08-08 1
 
2.0%
2021-11-27 1
 
2.0%
Other values (2) 2
 
4.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339999.07
Minimum332521.97
Maximum355172.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-04-22T06:50:11.042302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332521.97
5-th percentile332604.71
Q1333311.56
median336848.36
Q3345951.39
95-th percentile353387.8
Maximum355172.29
Range22650.314
Interquartile range (IQR)12639.826

Descriptive statistics

Standard deviation7164.1328
Coefficient of variation (CV)0.021071036
Kurtosis-0.62899177
Mean339999.07
Median Absolute Deviation (MAD)4259.5098
Skewness0.64965935
Sum8499976.9
Variance51324798
MonotonicityNot monotonic
2024-04-22T06:50:11.414558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
346516.586796 2
 
8.0%
343350.170921 2
 
8.0%
346717.496771 2
 
8.0%
332810.712481 2
 
8.0%
355172.287752 1
 
4.0%
336826.384354 1
 
4.0%
332668.14931 1
 
4.0%
332588.853667 1
 
4.0%
333311.559734 1
 
4.0%
333259.339551 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
332521.974134 1
4.0%
332588.853667 1
4.0%
332668.14931 1
4.0%
332810.712481 2
8.0%
333259.339551 1
4.0%
333311.559734 1
4.0%
333990.414376 1
4.0%
334119.085397 1
4.0%
334836.27161 1
4.0%
335204.344635 1
4.0%
ValueCountFrequency (%)
355172.287752 1
4.0%
355055.374436 1
4.0%
346717.496771 2
8.0%
346516.586796 2
8.0%
345951.38555 1
4.0%
345673.22831 1
4.0%
343350.170921 2
8.0%
343339.805929 1
4.0%
339820.111985 1
4.0%
336848.363465 1
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262306.54
Minimum248964.06
Maximum269526.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-04-22T06:50:11.763148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum248964.06
5-th percentile249226.04
Q1260462.66
median264408.15
Q3267966.04
95-th percentile269510.39
Maximum269526.1
Range20562.045
Interquartile range (IQR)7503.3775

Descriptive statistics

Standard deviation7194.7294
Coefficient of variation (CV)0.027428707
Kurtosis-0.49907439
Mean262306.54
Median Absolute Deviation (MAD)3945.4822
Skewness-0.89090986
Sum6557663.5
Variance51764131
MonotonicityNot monotonic
2024-04-22T06:50:12.135461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
269526.100412 2
 
8.0%
267944.353451 2
 
8.0%
269165.84039 2
 
8.0%
264459.599437 2
 
8.0%
264358.544592 1
 
4.0%
260004.695223 1
 
4.0%
249020.786504 1
 
4.0%
250047.070636 1
 
4.0%
250292.61784 1
 
4.0%
250220.231056 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
248964.055507 1
4.0%
249020.786504 1
4.0%
250047.070636 1
4.0%
250220.231056 1
4.0%
250292.61784 1
4.0%
260004.695223 1
4.0%
260462.664203 1
4.0%
260540.004454 1
4.0%
260777.789003 1
4.0%
261240.257843 1
4.0%
ValueCountFrequency (%)
269526.100412 2
8.0%
269447.530191 1
4.0%
269234.207448 1
4.0%
269165.84039 2
8.0%
267966.041735 1
4.0%
267944.353451 2
8.0%
266838.935634 1
4.0%
264459.599437 2
8.0%
264408.146423 1
4.0%
264358.544592 1
4.0%

설비규격
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size353.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)설비규격
01용기냉동기특정설비07_22_16_P3420000200634201351650000120060110<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 안심로59길 8 (각산동)<NA>(주)케이·피·씨20160810134204I2018-08-31 23:59:59.0<NA>355172.287752264358.544592<NA>
12용기냉동기특정설비07_22_16_P3420000201634201351650000120160811<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 안심로59길 13 (동호동)<NA>(주)케이·피·씨20160811104640I2018-08-31 23:59:59.0<NA>355055.374436264408.146423<NA>
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34용기냉동기특정설비07_22_16_P3450000202034501601650000120200521<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 검단동 700-15 1동대구광역시 북구 검단동로 45, 1동 (검단동)41510(주)미래에너지20200710105717U2020-07-14 02:40:00.0<NA>346516.586796269526.100412<NA>
45용기냉동기특정설비07_22_16_P3450000202034501601650000220200521<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 검단동 700-15 1동<NA><NA>(주)미래에너지20200710105657U2020-07-14 02:40:00.0<NA>346516.586796269526.100412<NA>
56용기냉동기특정설비07_22_16_P3450000200534500991650000120051121<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 침산동 791대구광역시 북구 침산로 285 (침산동)<NA>(주)삼창이엔지20080123175306I2018-08-31 23:59:59.0<NA>343350.170921267944.353451<NA>
67용기냉동기특정설비07_22_16_P3450000200634500991650000120060621<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 침산동 791대구광역시 북구 침산로 285 (침산동)<NA>(주)삼창이엔지20080123174020I2018-08-31 23:59:59.0<NA>343350.170921267944.353451<NA>
78용기냉동기특정설비07_22_16_P3450000200734500991650000120070202<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 검단동 887-85대구광역시 북구 검단북로 74 (검단동)<NA>(주)덕산코트랜20100421094058I2018-08-31 23:59:59.0<NA>345673.22831269447.530191<NA>
89용기냉동기특정설비07_22_16_P3450000201334500991650000120130429<NA>1영업/정상1영업중<NA><NA><NA>20150108<NA><NA><NA>대구광역시 북구 검단동 887-167대구광역시 북구 검단로27길 61 (검단동)41508(주)아진이에스알20200703170452U2020-07-05 02:40:00.0<NA>345951.38555269234.207448<NA>
910용기냉동기특정설비07_22_16_P3450000201034500991650000120100409<NA>3폐업3폐업20120409<NA><NA><NA><NA><NA><NA>대구광역시 북구 침산동 790-1대구광역시 북구 침산로 287 (침산동)<NA>솔텍ENG20120409161607I2018-08-31 23:59:59.0<NA>343339.805929267966.041735<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)설비규격
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1617용기냉동기특정설비07_22_16_P3470000200934701171650000120090908<NA>3폐업3폐업20140421<NA><NA><NA><NA><NA><NA>대구광역시 달서구 월암동 1087-7<NA><NA>(주)삼성정공20140421154453I2018-08-31 23:59:59.0<NA>336826.384354260004.695223<NA>
1718용기냉동기특정설비07_22_16_P3470000201034701241650000120100913<NA>3폐업3폐업20161118<NA><NA>20110915<NA><NA><NA>대구광역시 달서구 호림동 5-12대구광역시 달서구 성서공단로 11 (호림동)<NA>(주)벡트론20200806093127U2020-08-08 02:40:00.0<NA>333990.414376260462.664203<NA>
1819용기냉동기특정설비07_22_16_P3480000202134803651650000220211028<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 1-70<NA><NA>(주)카본가람20211125163154U2021-11-27 02:40:00.0<NA>332521.974134248964.055507<NA>
1920용기냉동기특정설비07_22_16_P3480000202134803651650000120210831<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1686-7대구광역시 달성군 다사읍 세천로4길 1542921(주)덕산코트랜 성서공장20210923154313U2021-09-25 02:40:00.0<NA>332810.712481264459.599437<NA>
2021용기냉동기특정설비07_22_16_P3480000200534802891650000320040315<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 29-218대구광역시 달성군 논공읍 논공중앙로 416-8<NA>(주)이노컴20131126191151I2018-08-31 23:59:59.0<NA>333259.339551250220.231056<NA>
2122용기냉동기특정설비07_22_16_P3480000200934802911650000120091223<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 29-204대구광역시 달성군 논공읍 논공중앙로 428<NA>(주)이노컴20180125142600I2018-08-31 23:59:59.0<NA>333311.559734250292.61784<NA>
2223용기냉동기특정설비07_22_16_P3480000201234803121650000120120522<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 29-98대구광역시 달성군 논공읍 논공로71길 9<NA>(주)카이오에너지20131126191002I2018-08-31 23:59:59.0<NA>332588.853667250047.070636<NA>
2324용기냉동기특정설비07_22_16_P3480000202034803651650000120201210<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1686-7대구광역시 달성군 다사읍 세천로4길 1542921(주)덕산코트랜 성서공장20210830110702U2021-09-01 02:40:00.0<NA>332810.712481264459.599437<NA>
2425용기냉동기특정설비07_22_16_P3480000200534802891650000120050428<NA>3폐업3폐업20120801<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 본리리 103-4대구광역시 달성군 논공읍 논공로 396-7<NA>(주)다원센추리20131126191445I2018-08-31 23:59:59.0<NA>332668.14931249020.786504<NA>