Overview

Dataset statistics

Number of variables30
Number of observations917
Missing cells8292
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory224.9 KiB
Average record size in memory251.1 B

Variable types

Numeric6
Categorical10
DateTime7
Unsupported3
Text4

Dataset

Description23년10월_6270000_대구광역시_09_28_05_P_고압가스업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101129&dataSetDetailId=DDI_0000101199&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 917 (100.0%) missing valuesMissing
폐업일자 has 579 (63.1%) missing valuesMissing
휴업시작일자 has 894 (97.5%) missing valuesMissing
휴업종료일자 has 893 (97.4%) missing valuesMissing
재개업일자 has 888 (96.8%) missing valuesMissing
소재지전화 has 917 (100.0%) missing valuesMissing
소재지면적 has 895 (97.6%) missing valuesMissing
소재지우편번호 has 917 (100.0%) missing valuesMissing
소재지전체주소 has 41 (4.5%) missing valuesMissing
도로명전체주소 has 286 (31.2%) missing valuesMissing
도로명우편번호 has 753 (82.1%) missing valuesMissing
좌표정보(X) has 156 (17.0%) missing valuesMissing
좌표정보(Y) has 156 (17.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-11-11 14:10:01.274837
Analysis finished2023-11-11 14:10:02.224905
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct917
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459
Minimum1
Maximum917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-11-11T23:10:02.333818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46.8
Q1230
median459
Q3688
95-th percentile871.2
Maximum917
Range916
Interquartile range (IQR)458

Descriptive statistics

Standard deviation264.8594
Coefficient of variation (CV)0.57703572
Kurtosis-1.2
Mean459
Median Absolute Deviation (MAD)229
Skewness0
Sum420903
Variance70150.5
MonotonicityStrictly increasing
2023-11-11T23:10:02.549278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
604 1
 
0.1%
606 1
 
0.1%
607 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%
Other values (907) 907
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 (%)
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%
910 1
0.1%
909 1
0.1%
908 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
고압가스업
917 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고압가스업 917
100.0%

Length

2023-11-11T23:10:02.723777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:02.846207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스업 917
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
09_28_05_P
917 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_05_P
2nd row09_28_05_P
3rd row09_28_05_P
4th row09_28_05_P
5th row09_28_05_P

Common Values

ValueCountFrequency (%)
09_28_05_P 917
100.0%

Length

2023-11-11T23:10:02.962913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:03.071772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_05_p 917
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3529203.9
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-11-11T23:10:03.174307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13440000
median3470000
Q33480000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation345242.08
Coefficient of variation (CV)0.09782435
Kurtosis17.874866
Mean3529203.9
Median Absolute Deviation (MAD)10000
Skewness4.4406165
Sum3.23628 × 109
Variance1.1919209 × 1011
MonotonicityIncreasing
2023-11-11T23:10:03.304897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3480000 262
28.6%
3470000 182
19.8%
3450000 128
14.0%
3410000 96
 
10.5%
3420000 69
 
7.5%
3460000 65
 
7.1%
3430000 50
 
5.5%
5141000 40
 
4.4%
3440000 25
 
2.7%
ValueCountFrequency (%)
3410000 96
 
10.5%
3420000 69
 
7.5%
3430000 50
 
5.5%
3440000 25
 
2.7%
3450000 128
14.0%
3460000 65
 
7.1%
3470000 182
19.8%
3480000 262
28.6%
5141000 40
 
4.4%
ValueCountFrequency (%)
5141000 40
 
4.4%
3480000 262
28.6%
3470000 182
19.8%
3460000 65
 
7.1%
3450000 128
14.0%
3440000 25
 
2.7%
3430000 50
 
5.5%
3420000 69
 
7.5%
3410000 96
 
10.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct917
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0052788 × 1018
Minimum1.968341 × 1018
Maximum2.023514 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-11-11T23:10:03.473247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9833442 × 1018
Q12.000347 × 1018
median2.004343 × 1018
Q32.012348 × 1018
95-th percentile2.0203812 × 1018
Maximum2.023514 × 1018
Range5.5173007 × 1016
Interquartile range (IQR)1.200103 × 1016

Descriptive statistics

Standard deviation1.0073064 × 1016
Coefficient of variation (CV)0.0050232736
Kurtosis0.73034895
Mean2.0052788 × 1018
Median Absolute Deviation (MAD)4.0020004 × 1015
Skewness-0.58342457
Sum-5.8337734 × 1018
Variance1.0146662 × 1032
MonotonicityNot monotonic
2023-11-11T23:10:03.642295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002341001302200032 1
 
0.1%
2005347007502100003 1
 
0.1%
2011347012402200001 1
 
0.1%
2020347018002100002 1
 
0.1%
2018347018002200006 1
 
0.1%
2006347010002200001 1
 
0.1%
2018347018002200007 1
 
0.1%
2007347011702200001 1
 
0.1%
2016347012402200001 1
 
0.1%
2012347012402200001 1
 
0.1%
Other values (907) 907
98.9%
ValueCountFrequency (%)
1968341004602100014 1
0.1%
1968341004602100016 1
0.1%
1975341004602100001 1
0.1%
1975341004602100006 1
0.1%
1976341004602100002 1
0.1%
1976341004602100011 1
0.1%
1976345001202100004 1
0.1%
1976345001202100064 1
0.1%
1977344001402100010 1
0.1%
1977345001202100005 1
0.1%
ValueCountFrequency (%)
2023514011302100001 1
0.1%
2023348036502200001 1
0.1%
2023348036502100006 1
0.1%
2023348036502100005 1
0.1%
2023348036502100004 1
0.1%
2023348036502100002 1
0.1%
2023348036502100001 1
0.1%
2023347018802100002 1
0.1%
2023347018802100001 1
0.1%
2023346017502100001 1
0.1%

인허가일자
Date

Distinct736
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum1968-05-28 00:00:00
Maximum2023-10-16 00:00:00
2023-11-11T23:10:03.829759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:04.074244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
560 
3
348 
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 560
61.1%
3 348
37.9%
2 9
 
1.0%

Length

2023-11-11T23:10:04.339103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:04.498553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 560
61.1%
3 348
37.9%
2 9
 
1.0%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
영업/정상
560 
폐업
348 
휴업
 
9

Length

Max length5
Median length5
Mean length3.8320611
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 560
61.1%
폐업 348
37.9%
휴업 9
 
1.0%

Length

2023-11-11T23:10:04.688103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:04.825495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 560
61.1%
폐업 348
37.9%
휴업 9
 
1.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
560 
3
348 
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 560
61.1%
3 348
37.9%
2 9
 
1.0%

Length

2023-11-11T23:10:04.968017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:05.124287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 560
61.1%
3 348
37.9%
2 9
 
1.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
영업중
560 
폐업
348 
휴업
 
9

Length

Max length3
Median length3
Mean length2.610687
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 560
61.1%
폐업 348
37.9%
휴업 9
 
1.0%

Length

2023-11-11T23:10:05.295810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:05.436105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 560
61.1%
폐업 348
37.9%
휴업 9
 
1.0%

폐업일자
Date

MISSING 

Distinct294
Distinct (%)87.0%
Missing579
Missing (%)63.1%
Memory size7.3 KiB
Minimum2000-05-31 00:00:00
Maximum2023-10-27 00:00:00
2023-11-11T23:10:05.856599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:06.125436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct21
Distinct (%)91.3%
Missing894
Missing (%)97.5%
Memory size7.3 KiB
Minimum2002-11-26 00:00:00
Maximum2023-04-12 00:00:00
2023-11-11T23:10:06.332991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:06.513059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업종료일자
Date

MISSING 

Distinct23
Distinct (%)95.8%
Missing893
Missing (%)97.4%
Memory size7.3 KiB
Minimum2002-04-10 00:00:00
Maximum2024-04-11 00:00:00
2023-11-11T23:10:06.674602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:06.887386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

재개업일자
Date

MISSING 

Distinct28
Distinct (%)96.6%
Missing888
Missing (%)96.8%
Memory size7.3 KiB
Minimum2007-08-02 00:00:00
Maximum2023-04-04 00:00:00
2023-11-11T23:10:07.113445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:07.297748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

소재지면적
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing895
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean7421.9227
Minimum0
Maximum49789
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-11-11T23:10:07.466513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.53
Q1324
median1742
Q39842.075
95-th percentile28369.425
Maximum49789
Range49789
Interquartile range (IQR)9518.075

Descriptive statistics

Standard deviation11908.289
Coefficient of variation (CV)1.6044749
Kurtosis7.4768995
Mean7421.9227
Median Absolute Deviation (MAD)1730.8
Skewness2.575423
Sum163282.3
Variance1.4180734 × 108
MonotonicityNot monotonic
2023-11-11T23:10:07.632940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9143.3 2
 
0.2%
10075.0 2
 
0.2%
403.0 1
 
0.1%
384.0 1
 
0.1%
615.0 1
 
0.1%
2162.0 1
 
0.1%
304.0 1
 
0.1%
739.0 1
 
0.1%
1322.0 1
 
0.1%
0.0 1
 
0.1%
Other values (10) 10
 
1.1%
(Missing) 895
97.6%
ValueCountFrequency (%)
0.0 1
0.1%
22.4 1
0.1%
165.0 1
0.1%
208.4 1
0.1%
290.9 1
0.1%
304.0 1
0.1%
384.0 1
0.1%
403.0 1
0.1%
615.0 1
0.1%
739.0 1
0.1%
ValueCountFrequency (%)
49789.0 1
0.1%
29061.0 1
0.1%
15229.5 1
0.1%
14413.0 1
0.1%
10075.0 2
0.2%
9143.3 2
0.2%
5623.5 1
0.1%
4114.0 1
0.1%
2162.0 1
0.1%
1322.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing917
Missing (%)100.0%
Memory size8.2 KiB

소재지전체주소
Text

MISSING 

Distinct671
Distinct (%)76.6%
Missing41
Missing (%)4.5%
Memory size7.3 KiB
2023-11-11T23:10:08.129488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length21.742009
Min length15

Characters and Unicode

Total characters19046
Distinct characters246
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique554 ?
Unique (%)63.2%

Sample

1st row대구광역시 중구 덕산동 96
2nd row대구광역시 중구 태평로3가 177
3rd row대구광역시 중구 동산동 194 계명대학교동산의료원
4th row대구광역시 중구 동인동1가 198-7
5th row대구광역시 중구 태평로3가 200-23
ValueCountFrequency (%)
대구광역시 874
22.1%
달성군 251
 
6.3%
달서구 172
 
4.3%
북구 128
 
3.2%
논공읍 106
 
2.7%
중구 93
 
2.4%
본리리 62
 
1.6%
동구 62
 
1.6%
수성구 61
 
1.5%
서구 48
 
1.2%
Other values (923) 2098
53.0%
2023-11-11T23:10:08.852248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3959
20.8%
구 1539
 
8.1%
대 1011
 
5.3%
시 883
 
4.6%
역 877
 
4.6%
광 876
 
4.6%
1 734
 
3.9%
동 678
 
3.6%
- 585
 
3.1%
2 436
 
2.3%
Other values (236) 7468
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10933
57.4%
Space Separator 3959
 
20.8%
Decimal Number 3535
 
18.6%
Dash Punctuation 585
 
3.1%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Other Punctuation 8
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1539
14.1%
대 1011
 
9.2%
시 883
 
8.1%
역 877
 
8.0%
광 876
 
8.0%
동 678
 
6.2%
달 427
 
3.9%
리 378
 
3.5%
성 355
 
3.2%
군 333
 
3.0%
Other values (219) 3576
32.7%
Decimal Number
ValueCountFrequency (%)
1 734
20.8%
2 436
12.3%
3 376
10.6%
0 321
9.1%
5 316
8.9%
4 300
8.5%
7 280
 
7.9%
8 274
 
7.8%
6 263
 
7.4%
9 235
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%
Space Separator
ValueCountFrequency (%)
3959
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 585
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10933
57.4%
Common 8107
42.6%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1539
14.1%
대 1011
 
9.2%
시 883
 
8.1%
역 877
 
8.0%
광 876
 
8.0%
동 678
 
6.2%
달 427
 
3.9%
리 378
 
3.5%
성 355
 
3.2%
군 333
 
3.0%
Other values (219) 3576
32.7%
Common
ValueCountFrequency (%)
3959
48.8%
1 734
 
9.1%
- 585
 
7.2%
2 436
 
5.4%
3 376
 
4.6%
0 321
 
4.0%
5 316
 
3.9%
4 300
 
3.7%
7 280
 
3.5%
8 274
 
3.4%
Other values (5) 526
 
6.5%
Latin
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10933
57.4%
ASCII 8113
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3959
48.8%
1 734
 
9.0%
- 585
 
7.2%
2 436
 
5.4%
3 376
 
4.6%
0 321
 
4.0%
5 316
 
3.9%
4 300
 
3.7%
7 280
 
3.5%
8 274
 
3.4%
Other values (7) 532
 
6.6%
Hangul
ValueCountFrequency (%)
구 1539
14.1%
대 1011
 
9.2%
시 883
 
8.1%
역 877
 
8.0%
광 876
 
8.0%
동 678
 
6.2%
달 427
 
3.9%
리 378
 
3.5%
성 355
 
3.2%
군 333
 
3.0%
Other values (219) 3576
32.7%

도로명전체주소
Text

MISSING 

Distinct484
Distinct (%)76.7%
Missing286
Missing (%)31.2%
Memory size7.3 KiB
2023-11-11T23:10:09.445004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length24.982567
Min length19

Characters and Unicode

Total characters15764
Distinct characters259
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)63.7%

Sample

1st row대구광역시 중구 달구벌대로 2105 (덕산동)
2nd row대구광역시 중구 달성로 56 (동산동,계명대학교동산의료원)
3rd row대구광역시 중구 태평로 79 (태평로3가)
4th row대구광역시 중구 동덕로36길 74 (동인동4가)
5th row대구광역시 중구 중앙대로 412 (남일동,아카데미극장)
ValueCountFrequency (%)
대구광역시 631
 
19.5%
달성군 203
 
6.3%
달서구 121
 
3.7%
북구 96
 
3.0%
논공읍 88
 
2.7%
중구 51
 
1.6%
수성구 40
 
1.2%
서구 39
 
1.2%
구지면 34
 
1.0%
논공로 33
 
1.0%
Other values (737) 1907
58.8%
2023-11-11T23:10:10.236160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2717
 
17.2%
구 1123
 
7.1%
대 818
 
5.2%
시 638
 
4.0%
역 635
 
4.0%
광 633
 
4.0%
로 608
 
3.9%
동 514
 
3.3%
1 449
 
2.8%
달 409
 
2.6%
Other values (249) 7220
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9880
62.7%
Space Separator 2717
 
17.2%
Decimal Number 2213
 
14.0%
Open Punctuation 400
 
2.5%
Close Punctuation 400
 
2.5%
Other Punctuation 83
 
0.5%
Dash Punctuation 66
 
0.4%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1123
 
11.4%
대 818
 
8.3%
시 638
 
6.5%
역 635
 
6.4%
광 633
 
6.4%
로 608
 
6.2%
동 514
 
5.2%
달 409
 
4.1%
성 376
 
3.8%
서 287
 
2.9%
Other values (231) 3839
38.9%
Decimal Number
ValueCountFrequency (%)
1 449
20.3%
2 307
13.9%
3 255
11.5%
5 223
10.1%
4 209
9.4%
0 181
8.2%
6 181
8.2%
7 159
 
7.2%
9 130
 
5.9%
8 119
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
I 2
40.0%
T 2
40.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
2717
100.0%
Open Punctuation
ValueCountFrequency (%)
( 400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 400
100.0%
Other Punctuation
ValueCountFrequency (%)
, 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9880
62.7%
Common 5879
37.3%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1123
 
11.4%
대 818
 
8.3%
시 638
 
6.5%
역 635
 
6.4%
광 633
 
6.4%
로 608
 
6.2%
동 514
 
5.2%
달 409
 
4.1%
성 376
 
3.8%
서 287
 
2.9%
Other values (231) 3839
38.9%
Common
ValueCountFrequency (%)
2717
46.2%
1 449
 
7.6%
( 400
 
6.8%
) 400
 
6.8%
2 307
 
5.2%
3 255
 
4.3%
5 223
 
3.8%
4 209
 
3.6%
0 181
 
3.1%
6 181
 
3.1%
Other values (5) 557
 
9.5%
Latin
ValueCountFrequency (%)
I 2
40.0%
T 2
40.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9880
62.7%
ASCII 5884
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2717
46.2%
1 449
 
7.6%
( 400
 
6.8%
) 400
 
6.8%
2 307
 
5.2%
3 255
 
4.3%
5 223
 
3.8%
4 209
 
3.6%
0 181
 
3.1%
6 181
 
3.1%
Other values (8) 562
 
9.6%
Hangul
ValueCountFrequency (%)
구 1123
 
11.4%
대 818
 
8.3%
시 638
 
6.5%
역 635
 
6.4%
광 633
 
6.4%
로 608
 
6.2%
동 514
 
5.2%
달 409
 
4.1%
성 376
 
3.8%
서 287
 
2.9%
Other values (231) 3839
38.9%

도로명우편번호
Text

MISSING 

Distinct99
Distinct (%)60.4%
Missing753
Missing (%)82.1%
Memory size7.3 KiB
2023-11-11T23:10:10.676989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0731707
Min length5

Characters and Unicode

Total characters832
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

Unique74 ?
Unique (%)45.1%

Sample

1st row41909
2nd row41925
3rd row41919
4th row41925
5th row41944
ValueCountFrequency (%)
42982 8
 
4.9%
43011 7
 
4.3%
43013 7
 
4.3%
42725 6
 
3.7%
43008 5
 
3.0%
42921 5
 
3.0%
41515 4
 
2.4%
42984 4
 
2.4%
711-857 3
 
1.8%
42714 3
 
1.8%
Other values (89) 112
68.3%
2023-11-11T23:10:11.412469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 185
22.2%
2 131
15.7%
1 126
15.1%
9 76
9.1%
0 67
 
8.1%
5 58
 
7.0%
7 57
 
6.9%
3 55
 
6.6%
8 41
 
4.9%
6 30
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 826
99.3%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 185
22.4%
2 131
15.9%
1 126
15.3%
9 76
9.2%
0 67
 
8.1%
5 58
 
7.0%
7 57
 
6.9%
3 55
 
6.7%
8 41
 
5.0%
6 30
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 832
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 185
22.2%
2 131
15.7%
1 126
15.1%
9 76
9.1%
0 67
 
8.1%
5 58
 
7.0%
7 57
 
6.9%
3 55
 
6.6%
8 41
 
4.9%
6 30
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 832
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 185
22.2%
2 131
15.7%
1 126
15.1%
9 76
9.1%
0 67
 
8.1%
5 58
 
7.0%
7 57
 
6.9%
3 55
 
6.6%
8 41
 
4.9%
6 30
 
3.6%

사업장명
Text

Distinct710
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2023-11-11T23:10:11.721320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length9.221374
Min length3

Characters and Unicode

Total characters8456
Distinct characters423
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique592 ?
Unique (%)64.6%

Sample

1st row(주)금복주덕산사무소
2nd row태평냉동(주)
3rd row계명대학교 동산의료원
4th row대동에어젠
5th row고려상사
ValueCountFrequency (%)
주식회사 34
 
3.0%
평화오일씰공업(주 18
 
1.6%
대구텍 11
 
1.0%
주)이마트 11
 
1.0%
대구공장 10
 
0.9%
유한회사 8
 
0.7%
펜퍼스픽이엔씨(주 7
 
0.6%
주)비락 7
 
0.6%
에스트라오토모티브시스템 7
 
0.6%
주)코스트코 6
 
0.5%
Other values (769) 1009
89.5%
2023-11-11T23:10:12.208876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 455
 
5.4%
) 454
 
5.4%
( 452
 
5.3%
대 341
 
4.0%
스 255
 
3.0%
구 225
 
2.7%
211
 
2.5%
가 170
 
2.0%
공 155
 
1.8%
사 127
 
1.5%
Other values (413) 5611
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7090
83.8%
Close Punctuation 454
 
5.4%
Open Punctuation 452
 
5.3%
Space Separator 211
 
2.5%
Decimal Number 127
 
1.5%
Uppercase Letter 95
 
1.1%
Lowercase Letter 16
 
0.2%
Dash Punctuation 6
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 455
 
6.4%
대 341
 
4.8%
스 255
 
3.6%
구 225
 
3.2%
가 170
 
2.4%
공 155
 
2.2%
사 127
 
1.8%
이 115
 
1.6%
업 114
 
1.6%
동 109
 
1.5%
Other values (365) 5024
70.9%
Uppercase Letter
ValueCountFrequency (%)
C 15
15.8%
G 9
9.5%
S 9
9.5%
F 8
 
8.4%
T 8
 
8.4%
N 6
 
6.3%
E 5
 
5.3%
A 5
 
5.3%
K 5
 
5.3%
V 3
 
3.2%
Other values (11) 22
23.2%
Lowercase Letter
ValueCountFrequency (%)
s 5
31.2%
k 2
 
12.5%
t 1
 
6.2%
l 1
 
6.2%
w 1
 
6.2%
n 1
 
6.2%
r 1
 
6.2%
o 1
 
6.2%
e 1
 
6.2%
a 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 61
48.0%
9 24
 
18.9%
2 15
 
11.8%
3 7
 
5.5%
5 5
 
3.9%
6 5
 
3.9%
7 4
 
3.1%
4 3
 
2.4%
8 3
 
2.4%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
. 2
40.0%
, 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 452
100.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7090
83.8%
Common 1255
 
14.8%
Latin 111
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 455
 
6.4%
대 341
 
4.8%
스 255
 
3.6%
구 225
 
3.2%
가 170
 
2.4%
공 155
 
2.2%
사 127
 
1.8%
이 115
 
1.6%
업 114
 
1.6%
동 109
 
1.5%
Other values (365) 5024
70.9%
Latin
ValueCountFrequency (%)
C 15
13.5%
G 9
 
8.1%
S 9
 
8.1%
F 8
 
7.2%
T 8
 
7.2%
N 6
 
5.4%
s 5
 
4.5%
E 5
 
4.5%
A 5
 
4.5%
K 5
 
4.5%
Other values (22) 36
32.4%
Common
ValueCountFrequency (%)
) 454
36.2%
( 452
36.0%
211
16.8%
1 61
 
4.9%
9 24
 
1.9%
2 15
 
1.2%
3 7
 
0.6%
- 6
 
0.5%
5 5
 
0.4%
6 5
 
0.4%
Other values (6) 15
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7090
83.8%
ASCII 1366
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 455
 
6.4%
대 341
 
4.8%
스 255
 
3.6%
구 225
 
3.2%
가 170
 
2.4%
공 155
 
2.2%
사 127
 
1.8%
이 115
 
1.6%
업 114
 
1.6%
동 109
 
1.5%
Other values (365) 5024
70.9%
ASCII
ValueCountFrequency (%)
) 454
33.2%
( 452
33.1%
211
15.4%
1 61
 
4.5%
9 24
 
1.8%
C 15
 
1.1%
2 15
 
1.1%
G 9
 
0.7%
S 9
 
0.7%
F 8
 
0.6%
Other values (38) 108
 
7.9%

최종수정시점
Date

Distinct908
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2000-04-28 00:00:00
Maximum2023-10-30 13:10:13
2023-11-11T23:10:12.395443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:12.580631image/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
544 
U
373 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 544
59.3%
U 373
40.7%

Length

2023-11-11T23:10:12.755614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:12.875892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 544
59.3%
u 373
40.7%

데이터갱신일자
Date

Distinct322
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-11-01 02:40:00
2023-11-11T23:10:13.011723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:10:13.219626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
제조
606 
저장소
183 
판매
128 

Length

Max length3
Median length2
Mean length2.1995638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제조
2nd row제조
3rd row제조
4th row판매
5th row판매

Common Values

ValueCountFrequency (%)
제조 606
66.1%
저장소 183
 
20.0%
판매 128
 
14.0%

Length

2023-11-11T23:10:13.418789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:13.532158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 606
66.1%
저장소 183
 
20.0%
판매 128
 
14.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct527
Distinct (%)69.3%
Missing156
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean338911.56
Minimum197728.37
Maximum356223.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-11-11T23:10:13.656201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197728.37
5-th percentile328580.03
Q1333075.77
median339535.78
Q3344280.76
95-th percentile349840.14
Maximum356223.24
Range158494.87
Interquartile range (IQR)11204.988

Descriptive statistics

Standard deviation9561.8043
Coefficient of variation (CV)0.028213273
Kurtosis70.251132
Mean338911.56
Median Absolute Deviation (MAD)5450.4703
Skewness-5.474335
Sum2.579117 × 108
Variance91428101
MonotonicityNot monotonic
2023-11-11T23:10:13.836188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347152.1669896 14
 
1.5%
345144.121523599 12
 
1.3%
331841.770251061 10
 
1.1%
331330.520400284 9
 
1.0%
341575.713235792 7
 
0.8%
335874.207251029 7
 
0.8%
355629.797464731 6
 
0.7%
332651.312578375 6
 
0.7%
343157.682044362 5
 
0.5%
353806.683658355 5
 
0.5%
Other values (517) 680
74.2%
(Missing) 156
 
17.0%
ValueCountFrequency (%)
197728.372836574 1
0.1%
271746.860371133 1
0.1%
271939.112124736 1
0.1%
272159.34215176 1
0.1%
325507.744090645 1
0.1%
325658.359971741 1
0.1%
325679.505053305 1
0.1%
325818.4743311 1
0.1%
325962.15974551 1
0.1%
326211.245248156 1
0.1%
ValueCountFrequency (%)
356223.244084316 4
0.4%
356126.992895292 1
 
0.1%
355939.362329351 1
 
0.1%
355629.797464731 6
0.7%
355561.144813597 2
 
0.2%
355372.809157039 1
 
0.1%
355144.618939988 1
 
0.1%
355055.799674021 1
 
0.1%
354288.412149297 1
 
0.1%
354061.682283775 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct527
Distinct (%)69.3%
Missing156
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean262362.88
Minimum237692.77
Maximum451030.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-11-11T23:10:14.038807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237692.77
5-th percentile240710.92
Q1256524.17
median262585.14
Q3265439.82
95-th percentile291512.24
Maximum451030.85
Range213338.09
Interquartile range (IQR)8915.65

Descriptive statistics

Standard deviation15744.205
Coefficient of variation (CV)0.060009271
Kurtosis41.460937
Mean262362.88
Median Absolute Deviation (MAD)3760.0362
Skewness4.5357447
Sum1.9965815 × 108
Variance2.4787999 × 108
MonotonicityNot monotonic
2023-11-11T23:10:14.264837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256419.713277812 14
 
1.5%
263145.38641925 12
 
1.3%
249503.54326654 10
 
1.1%
249378.513866492 9
 
1.0%
292024.590733752 7
 
0.8%
258661.902888459 7
 
0.8%
298050.321150006 6
 
0.7%
249603.913214796 6
 
0.7%
261957.795169076 5
 
0.5%
275609.64757794 5
 
0.5%
Other values (517) 680
74.2%
(Missing) 156
 
17.0%
ValueCountFrequency (%)
237692.765575349 4
0.4%
237863.093552328 3
0.3%
237979.635137938 1
 
0.1%
237979.750002148 1
 
0.1%
238226.478691886 1
 
0.1%
238425.255022134 1
 
0.1%
238531.354079775 1
 
0.1%
238532.072757946 1
 
0.1%
238532.756127767 2
0.2%
238647.889404976 1
 
0.1%
ValueCountFrequency (%)
451030.853936909 1
0.1%
386156.478816997 1
0.1%
386130.020317827 1
0.1%
385957.370267181 1
0.1%
308254.799686136 1
0.1%
308132.334323979 1
0.1%
308041.623030769 1
0.1%
307596.726362261 1
0.1%
305802.744298731 1
0.1%
305125.951884294 1
0.1%

제조구분명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
냉동
468 
일반
237 
<NA>
140 
충전
68 
특정
 
4

Length

Max length4
Median length2
Mean length2.3053435
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row냉동
2nd row냉동
3rd row냉동
4th row일반
5th row일반

Common Values

ValueCountFrequency (%)
냉동 468
51.0%
일반 237
25.8%
<NA> 140
 
15.3%
충전 68
 
7.4%
특정 4
 
0.4%

Length

2023-11-11T23:10:14.442431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:10:14.584891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 468
51.0%
일반 237
25.8%
na 140
 
15.3%
충전 68
 
7.4%
특정 4
 
0.4%

사업장부지용도구분명
Categorical

Distinct36
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
293 
공업용
101 
주거용
87 
상업.업무용
79 
지정되지않음
62 
Other values (31)
295 

Length

Max length7
Median length6
Mean length3.953108
Min length1

Unique

Unique8 ?
Unique (%)0.9%

Sample

1st row업무용
2nd row주거용
3rd row주거용
4th row상업용
5th row상업용

Common Values

ValueCountFrequency (%)
<NA> 293
32.0%
공업용 101
 
11.0%
주거용 87
 
9.5%
상업.업무용 79
 
8.6%
지정되지않음 62
 
6.8%
상업용 37
 
4.0%
공업나지 28
 
3.1%
주상나지 26
 
2.8%
기타 23
 
2.5%
주.상복합용 21
 
2.3%
Other values (26) 160
17.4%

Length

2023-11-11T23:10:14.747163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 293
32.0%
공업용 101
 
11.0%
주거용 87
 
9.5%
상업.업무용 79
 
8.6%
지정되지않음 62
 
6.8%
상업용 37
 
4.0%
공업나지 28
 
3.1%
주상나지 26
 
2.8%
기타 23
 
2.5%
다세대 21
 
2.3%
Other values (26) 160
17.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
01고압가스업09_28_05_P341000020023410013022000322002-10-02<NA>3폐업3폐업2009-03-24<NA><NA><NA><NA><NA><NA>대구광역시 중구 덕산동 96대구광역시 중구 달구벌대로 2105 (덕산동)<NA>(주)금복주덕산사무소2010-11-10 16:18:39I2018-08-31 23:59:59제조343895.787733264028.128515냉동업무용
12고압가스업09_28_05_P341000019683410046021000141968-05-28<NA>3폐업3폐업2004-11-24<NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로3가 177<NA><NA>태평냉동(주)2007-08-14 11:55:34I2018-08-31 23:59:59제조<NA><NA>냉동주거용
23고압가스업09_28_05_P341000019683410046021000161968-05-28<NA>3폐업3폐업2007-08-14<NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 194 계명대학교동산의료원대구광역시 중구 달성로 56 (동산동,계명대학교동산의료원)<NA>계명대학교 동산의료원2007-08-14 16:36:07I2018-08-31 23:59:59제조342935.432334264310.975711냉동주거용
34고압가스업09_28_05_P341000019753410046021000011975-09-02<NA>3폐업3폐업2021-01-05<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동1가 198-7<NA><NA>대동에어젠2021-01-07 14:13:41U2021-01-09 02:40:00판매344676.01683264837.178117일반상업용
45고압가스업09_28_05_P341000019753410046021000061975-09-02<NA>3폐업3폐업2005-02-24<NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로3가 200-23대구광역시 중구 태평로 79 (태평로3가)<NA>고려상사2007-08-16 10:30:32I2018-08-31 23:59:59판매343217.309248265231.299717일반상업용
56고압가스업09_28_05_P341000019763410046021000021976-09-29<NA>3폐업3폐업2004-02-20<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 36-1대구광역시 중구 동덕로36길 74 (동인동4가)<NA>매일종합가스2007-08-16 10:12:43I2018-08-31 23:59:59판매345179.444965264459.030707일반연립
67고압가스업09_28_05_P341000019763410046021000111976-07-16<NA>3폐업3폐업2020-03-31<NA><NA><NA><NA><NA><NA>대구광역시 중구 동문동 20-4 외 6필지<NA><NA>동아아울렛 동문본점2020-04-01 16:29:51U2020-04-03 02:40:00제조344148.352033264812.35373냉동상업용
78고압가스업09_28_05_P341000019793410046021000021979-06-26<NA>3폐업3폐업2000-11-17<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1 아카데미극장대구광역시 중구 중앙대로 412 (남일동,아카데미극장)<NA>아카데미극장2007-08-14 13:58:57I2018-08-31 23:59:59제조343908.683407264477.417036냉동상업.업무용
89고압가스업09_28_05_P341000019793410046021000041979-01-09<NA>3폐업3폐업2006-08-07<NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 56-9대구광역시 중구 북성로5길 31 (수창동)<NA>영가스사2007-08-16 10:24:42I2018-08-31 23:59:59판매343058.102023265031.479188일반상업나지
910고압가스업09_28_05_P341000019793410046022000011979-03-19<NA>3폐업3폐업2003-07-14<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 5-2 동인관광호텔대구광역시 중구 동성로5길 25 (삼덕동1가,동인관광호텔)<NA>동인관광호텔(주)2007-08-14 13:56:48I2018-08-31 23:59:59제조344075.953606264266.216087냉동상업.업무용
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
907908고압가스업09_28_05_P514100020045140038021000012011-02-08<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 수서리 701-13<NA><NA>(주)코리아원진1공장2014-05-28 17:08:41I2023-07-01 15:23:19저장소<NA><NA>일반공업용
908909고압가스업09_28_05_P514100020085140050021000012010-09-06<NA>2휴업2휴업<NA>2009-10-082010-09-142010-09-15<NA>384.0<NA>대구광역시 군위군 군위읍 금구리 671대구광역시 군위군 군위읍 경북대로 3465<NA>태양가스2012-10-25 09:40:35I2023-07-01 16:42:10판매340609.944779302619.245022<NA>상업용
909910고압가스업09_28_05_P514100020085140050021000022009-08-18<NA>3폐업3폐업2009-08-18<NA><NA><NA><NA>403.0<NA>대구광역시 군위군 군위읍 외량리 415-1대구광역시 군위군 군위읍 외량1길 10-10<NA>(구)서울가스2009-08-18 14:23:13I2023-07-01 16:42:10판매338619.806222307596.726362<NA>업무용
910911고압가스업09_28_05_P514100020105140066021000012012-12-27<NA>3폐업3폐업2015-06-22<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 의흥면 동부로 935-14<NA>대구경북능금농협음료가공공장2015-06-22 16:13:25I2023-07-01 16:42:10제조355629.797465298050.32115냉동<NA>
911912고압가스업09_28_05_P514100020135140066021000012013-04-22<NA>3폐업3폐업2019-12-26<NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 고곡리 438대구광역시 군위군 효령면 경북대로 2185<NA>농협경제지주 주식회사2019-12-27 09:29:26I2023-07-01 16:42:10제조341575.713236292024.590734냉동<NA>
912913고압가스업09_28_05_P514100020005140041022000072009-02-02<NA>3폐업3폐업2009-02-02<NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 동부리 229대구광역시 군위군 군위읍 군청로 200<NA>군위군청2009-02-02 11:23:33I2023-07-01 16:42:10제조341321.675593305802.744299냉동주거용
913914고압가스업09_28_05_P514100020005140041022000081995-11-20<NA>3폐업3폐업2022-11-24<NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 64대구광역시 군위군 군위읍 중앙길 74<NA>군위경찰서2022-12-09 10:26:57I2023-07-01 16:42:10제조340796.635705304951.237415냉동주거용
914915고압가스업09_28_05_P514100020005140041022000091999-10-29<NA>3폐업3폐업2020-04-08<NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 고곡리 438대구광역시 군위군 효령면 경북대로 2185<NA>농협경제지주 주식회사2020-04-08 10:49:53I2023-07-01 16:42:10제조341575.713236292024.590734냉동주거용
915916고압가스업09_28_05_P514100020005140041022000101999-10-29<NA>3폐업3폐업2020-07-01<NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 고곡리 438대구광역시 군위군 효령면 경북대로 2185<NA>농협경제지주 주식회사2020-07-01 18:00:46I2023-07-01 16:42:10제조341575.713236292024.590734냉동임야
916917고압가스업09_28_05_P514100020065140050022000012006-09-22<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 동부리 160<NA><NA>문화체육시설사업소2021-03-02 10:24:19I2023-07-01 15:23:19제조<NA><NA>냉동공공용지등