Overview

Dataset statistics

Number of variables44
Number of observations3271
Missing cells33569
Missing cells (%)23.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory377.0 B

Variable types

Numeric12
Categorical14
Text6
DateTime4
Unsupported7
Boolean1

Dataset

Description23년12월_6270000_대구광역시_05_19_01_P_이용업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000104152&dataSetDetailId=DDI_0000104160&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 is highly imbalanced (91.1%)Imbalance
위생업태명 is highly imbalanced (91.1%)Imbalance
여성종사자수 is highly imbalanced (62.9%)Imbalance
다중이용업소여부 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3271 (100.0%) missing valuesMissing
폐업일자 has 872 (26.7%) missing valuesMissing
휴업시작일자 has 3271 (100.0%) missing valuesMissing
휴업종료일자 has 3271 (100.0%) missing valuesMissing
재개업일자 has 3271 (100.0%) missing valuesMissing
소재지전화 has 1036 (31.7%) missing valuesMissing
소재지우편번호 has 51 (1.6%) missing valuesMissing
도로명전체주소 has 1425 (43.6%) missing valuesMissing
도로명우편번호 has 1451 (44.4%) missing valuesMissing
좌표정보(X) has 178 (5.4%) missing valuesMissing
좌표정보(Y) has 178 (5.4%) missing valuesMissing
건물지상층수 has 573 (17.5%) missing valuesMissing
건물지하층수 has 935 (28.6%) missing valuesMissing
사용시작지상층 has 805 (24.6%) missing valuesMissing
사용끝지상층 has 1035 (31.6%) missing valuesMissing
의자수 has 348 (10.6%) missing valuesMissing
조건부허가신고사유 has 3271 (100.0%) missing valuesMissing
조건부허가시작일자 has 3271 (100.0%) missing valuesMissing
조건부허가종료일자 has 3271 (100.0%) missing valuesMissing
침대수 has 1761 (53.8%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 56.92606802)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
휴업종료일자 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
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 250 (7.6%) zerosZeros
건물지상층수 has 697 (21.3%) zerosZeros
건물지하층수 has 1291 (39.5%) zerosZeros
사용시작지상층 has 584 (17.9%) zerosZeros
사용끝지상층 has 369 (11.3%) zerosZeros
의자수 has 195 (6.0%) zerosZeros
침대수 has 1493 (45.6%) zerosZeros

Reproduction

Analysis started2024-03-13 14:06:02.136875
Analysis finished2024-03-13 14:06:03.514714
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1636
Minimum1
Maximum3271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:03.618297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile164.5
Q1818.5
median1636
Q32453.5
95-th percentile3107.5
Maximum3271
Range3270
Interquartile range (IQR)1635

Descriptive statistics

Standard deviation944.40069
Coefficient of variation (CV)0.57726204
Kurtosis-1.2
Mean1636
Median Absolute Deviation (MAD)818
Skewness0
Sum5351356
Variance891892.67
MonotonicityStrictly increasing
2024-03-13T23:06:03.780371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2186 1
 
< 0.1%
2176 1
 
< 0.1%
2177 1
 
< 0.1%
2178 1
 
< 0.1%
2179 1
 
< 0.1%
2180 1
 
< 0.1%
2181 1
 
< 0.1%
2182 1
 
< 0.1%
2183 1
 
< 0.1%
Other values (3261) 3261
99.7%
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 (%)
3271 1
< 0.1%
3270 1
< 0.1%
3269 1
< 0.1%
3268 1
< 0.1%
3267 1
< 0.1%
3266 1
< 0.1%
3265 1
< 0.1%
3264 1
< 0.1%
3263 1
< 0.1%
3262 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
이용업
3271 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이용업 3271
100.0%

Length

2024-03-13T23:06:03.917543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:04.011574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용업 3271
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
05_19_01_P
3271 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row05_19_01_P
2nd row05_19_01_P
3rd row05_19_01_P
4th row05_19_01_P
5th row05_19_01_P

Common Values

ValueCountFrequency (%)
05_19_01_P 3271
100.0%

Length

2024-03-13T23:06:04.126859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:04.260871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05_19_01_p 3271
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3467151.3
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:04.349699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation192070.15
Coefficient of variation (CV)0.055397105
Kurtosis71.219117
Mean3467151.3
Median Absolute Deviation (MAD)20000
Skewness8.5005773
Sum1.1341052 × 1010
Variance3.6890941 × 1010
MonotonicityIncreasing
2024-03-13T23:06:04.455503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 629
19.2%
3450000 521
15.9%
3420000 519
15.9%
3460000 459
14.0%
3430000 420
12.8%
3440000 278
8.5%
3410000 249
 
7.6%
3480000 154
 
4.7%
5141000 42
 
1.3%
ValueCountFrequency (%)
3410000 249
 
7.6%
3420000 519
15.9%
3430000 420
12.8%
3440000 278
8.5%
3450000 521
15.9%
3460000 459
14.0%
3470000 629
19.2%
3480000 154
 
4.7%
5141000 42
 
1.3%
ValueCountFrequency (%)
5141000 42
 
1.3%
3480000 154
 
4.7%
3470000 629
19.2%
3460000 459
14.0%
3450000 521
15.9%
3440000 278
8.5%
3430000 420
12.8%
3420000 519
15.9%
3410000 249
 
7.6%

관리번호
Text

UNIQUE 

Distinct3271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-03-13T23:06:04.657670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters71962
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

Unique3271 ?
Unique (%)100.0%

Sample

1st row3410000-203-2010-00002
2nd row3410000-203-2008-00003
3rd row3410000-203-2010-00003
4th row3410000-203-2010-00004
5th row3410000-203-2001-00001
ValueCountFrequency (%)
3410000-203-2010-00002 1
 
< 0.1%
3460000-203-2013-00007 1
 
< 0.1%
3460000-203-2015-00006 1
 
< 0.1%
3460000-203-1996-00005 1
 
< 0.1%
3460000-203-2001-00023 1
 
< 0.1%
3460000-203-2002-00022 1
 
< 0.1%
3460000-203-2007-00007 1
 
< 0.1%
3460000-203-2013-00003 1
 
< 0.1%
3460000-203-2009-00002 1
 
< 0.1%
3460000-203-2013-00002 1
 
< 0.1%
Other values (3261) 3261
99.7%
2024-03-13T23:06:05.190594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31747
44.1%
- 9813
 
13.6%
3 8005
 
11.1%
2 6964
 
9.7%
4 4275
 
5.9%
1 3714
 
5.2%
9 2652
 
3.7%
7 1407
 
2.0%
6 1290
 
1.8%
5 1155
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62149
86.4%
Dash Punctuation 9813
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31747
51.1%
3 8005
 
12.9%
2 6964
 
11.2%
4 4275
 
6.9%
1 3714
 
6.0%
9 2652
 
4.3%
7 1407
 
2.3%
6 1290
 
2.1%
5 1155
 
1.9%
8 940
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9813
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71962
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31747
44.1%
- 9813
 
13.6%
3 8005
 
11.1%
2 6964
 
9.7%
4 4275
 
5.9%
1 3714
 
5.2%
9 2652
 
3.7%
7 1407
 
2.0%
6 1290
 
1.8%
5 1155
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31747
44.1%
- 9813
 
13.6%
3 8005
 
11.1%
2 6964
 
9.7%
4 4275
 
5.9%
1 3714
 
5.2%
9 2652
 
3.7%
7 1407
 
2.0%
6 1290
 
1.8%
5 1155
 
1.6%

인허가일자
Date

Distinct2178
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
Minimum1960-11-25 00:00:00
Maximum2023-12-26 00:00:00
2024-03-13T23:06:05.335469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:06:05.473622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
3
2399 
1
872 

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 (%)
3 2399
73.3%
1 872
 
26.7%

Length

2024-03-13T23:06:05.613728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:05.707373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2399
73.3%
1 872
 
26.7%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
폐업
2399 
영업/정상
872 

Length

Max length5
Median length2
Mean length2.7997554
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2399
73.3%
영업/정상 872
 
26.7%

Length

2024-03-13T23:06:05.880535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:05.988437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2399
73.3%
영업/정상 872
 
26.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2
2399 
1
872 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 2399
73.3%
1 872
 
26.7%

Length

2024-03-13T23:06:06.095101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:06.209088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2399
73.3%
1 872
 
26.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
폐업
2399 
영업
872 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2399
73.3%
영업 872
 
26.7%

Length

2024-03-13T23:06:06.325397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:06.439533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2399
73.3%
영업 872
 
26.7%

폐업일자
Date

MISSING 

Distinct1730
Distinct (%)72.1%
Missing872
Missing (%)26.7%
Memory size25.7 KiB
Minimum1998-05-06 00:00:00
Maximum2023-12-29 00:00:00
2024-03-13T23:06:06.537557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:06:06.708988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

소재지전화
Text

MISSING 

Distinct2108
Distinct (%)94.3%
Missing1036
Missing (%)31.7%
Memory size25.7 KiB
2024-03-13T23:06:07.012002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.77226
Min length6

Characters and Unicode

Total characters24076
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

Unique1999 ?
Unique (%)89.4%

Sample

1st row053 2572955
2nd row053 2536037
3rd row053 4233939
4th row053 4236188
5th row053 2562176
ValueCountFrequency (%)
053 1917
41.3%
054 31
 
0.7%
764 16
 
0.3%
763 11
 
0.2%
352 11
 
0.2%
791 10
 
0.2%
956 9
 
0.2%
762 9
 
0.2%
755 8
 
0.2%
756 8
 
0.2%
Other values (2240) 2611
56.3%
2024-03-13T23:06:07.484857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4413
18.3%
3 3601
15.0%
0 2984
12.4%
2429
10.1%
2 1971
8.2%
6 1809
7.5%
4 1489
 
6.2%
7 1465
 
6.1%
1 1324
 
5.5%
8 1322
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21647
89.9%
Space Separator 2429
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4413
20.4%
3 3601
16.6%
0 2984
13.8%
2 1971
9.1%
6 1809
8.4%
4 1489
 
6.9%
7 1465
 
6.8%
1 1324
 
6.1%
8 1322
 
6.1%
9 1269
 
5.9%
Space Separator
ValueCountFrequency (%)
2429
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4413
18.3%
3 3601
15.0%
0 2984
12.4%
2429
10.1%
2 1971
8.2%
6 1809
7.5%
4 1489
 
6.2%
7 1465
 
6.1%
1 1324
 
5.5%
8 1322
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4413
18.3%
3 3601
15.0%
0 2984
12.4%
2429
10.1%
2 1971
8.2%
6 1809
7.5%
4 1489
 
6.2%
7 1465
 
6.1%
1 1324
 
5.5%
8 1322
 
5.5%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1423
Distinct (%)43.8%
Missing24
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean77.386939
Minimum0
Maximum144055
Zeros250
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:07.634798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.955
median22
Q336
95-th percentile99
Maximum144055
Range144055
Interquartile range (IQR)23.045

Descriptive statistics

Standard deviation2528.3183
Coefficient of variation (CV)32.671124
Kurtosis3242.6882
Mean77.386939
Median Absolute Deviation (MAD)11
Skewness56.926068
Sum251275.39
Variance6392393.4
MonotonicityNot monotonic
2024-03-13T23:06:07.772616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 250
 
7.6%
16.5 61
 
1.9%
33.0 59
 
1.8%
19.8 47
 
1.4%
20.0 43
 
1.3%
23.1 40
 
1.2%
15.0 39
 
1.2%
18.0 32
 
1.0%
26.4 32
 
1.0%
6.6 32
 
1.0%
Other values (1413) 2612
79.9%
ValueCountFrequency (%)
0.0 250
7.6%
2.0 1
 
< 0.1%
2.25 1
 
< 0.1%
2.5 1
 
< 0.1%
2.94 1
 
< 0.1%
3.0 5
 
0.2%
3.08 1
 
< 0.1%
3.2 1
 
< 0.1%
3.24 1
 
< 0.1%
3.3 8
 
0.2%
ValueCountFrequency (%)
144055.0 1
< 0.1%
2103.31 1
< 0.1%
2033.0 1
< 0.1%
1066.24 1
< 0.1%
732.83 1
< 0.1%
606.0 1
< 0.1%
592.45 1
< 0.1%
352.24 1
< 0.1%
307.0 1
< 0.1%
267.2 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct545
Distinct (%)16.9%
Missing51
Missing (%)1.6%
Memory size25.7 KiB
2024-03-13T23:06:08.180473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters22540
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

Unique116 ?
Unique (%)3.6%

Sample

1st row700-412
2nd row700-261
3rd row700-848
4th row700-802
5th row700-850
ValueCountFrequency (%)
704-080 42
 
1.3%
704-060 35
 
1.1%
702-040 31
 
1.0%
704-932 25
 
0.8%
704-904 23
 
0.7%
704-834 23
 
0.7%
711-852 23
 
0.7%
705-809 22
 
0.7%
706-839 22
 
0.7%
703-805 22
 
0.7%
Other values (535) 2952
91.7%
2024-03-13T23:06:08.658431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4715
20.9%
7 3539
15.7%
- 3220
14.3%
8 2846
12.6%
1 1732
 
7.7%
2 1497
 
6.6%
4 1398
 
6.2%
3 1343
 
6.0%
6 906
 
4.0%
5 774
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19320
85.7%
Dash Punctuation 3220
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4715
24.4%
7 3539
18.3%
8 2846
14.7%
1 1732
 
9.0%
2 1497
 
7.7%
4 1398
 
7.2%
3 1343
 
7.0%
6 906
 
4.7%
5 774
 
4.0%
9 570
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 3220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4715
20.9%
7 3539
15.7%
- 3220
14.3%
8 2846
12.6%
1 1732
 
7.7%
2 1497
 
6.6%
4 1398
 
6.2%
3 1343
 
6.0%
6 906
 
4.0%
5 774
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4715
20.9%
7 3539
15.7%
- 3220
14.3%
8 2846
12.6%
1 1732
 
7.7%
2 1497
 
6.6%
4 1398
 
6.2%
3 1343
 
6.0%
6 906
 
4.0%
5 774
 
3.4%

소재지전체주소
Text

Distinct2908
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-03-13T23:06:09.037767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length23.585448
Min length17

Characters and Unicode

Total characters77148
Distinct characters297
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2621 ?
Unique (%)80.1%

Sample

1st row대구광역시 중구 삼덕동2가 0210-0001번지 지하1층
2nd row대구광역시 중구 서성로1가 0109-0001번지 (2층)
3rd row대구광역시 중구 동인동4가 0347-0001번지
4th row대구광역시 중구 남산동 0693-0008번지 지상2층
5th row대구광역시 중구 수창동 0099-0002번지
ValueCountFrequency (%)
대구광역시 3271
22.7%
달서구 629
 
4.4%
북구 521
 
3.6%
동구 520
 
3.6%
수성구 458
 
3.2%
서구 420
 
2.9%
남구 278
 
1.9%
중구 249
 
1.7%
대명동 205
 
1.4%
달성군 154
 
1.1%
Other values (3325) 7689
53.4%
2024-03-13T23:06:09.542258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14270
18.5%
구 6398
 
8.3%
동 3814
 
4.9%
1 3691
 
4.8%
대 3614
 
4.7%
시 3304
 
4.3%
광 3280
 
4.3%
역 3276
 
4.2%
지 2980
 
3.9%
- 2821
 
3.7%
Other values (287) 29700
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42767
55.4%
Decimal Number 16565
 
21.5%
Space Separator 14270
 
18.5%
Dash Punctuation 2821
 
3.7%
Close Punctuation 310
 
0.4%
Open Punctuation 310
 
0.4%
Other Punctuation 61
 
0.1%
Uppercase Letter 43
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6398
15.0%
동 3814
 
8.9%
대 3614
 
8.5%
시 3304
 
7.7%
광 3280
 
7.7%
역 3276
 
7.7%
지 2980
 
7.0%
번 2536
 
5.9%
서 1129
 
2.6%
성 906
 
2.1%
Other values (260) 11530
27.0%
Decimal Number
ValueCountFrequency (%)
1 3691
22.3%
2 2250
13.6%
0 1980
12.0%
3 1616
9.8%
4 1445
 
8.7%
5 1300
 
7.8%
6 1129
 
6.8%
7 1091
 
6.6%
9 1051
 
6.3%
8 1012
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 18
41.9%
B 13
30.2%
T 4
 
9.3%
P 4
 
9.3%
L 1
 
2.3%
H 1
 
2.3%
C 1
 
2.3%
S 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 54
88.5%
/ 3
 
4.9%
. 3
 
4.9%
@ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
14270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2821
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 310
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42766
55.4%
Common 34338
44.5%
Latin 43
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6398
15.0%
동 3814
 
8.9%
대 3614
 
8.5%
시 3304
 
7.7%
광 3280
 
7.7%
역 3276
 
7.7%
지 2980
 
7.0%
번 2536
 
5.9%
서 1129
 
2.6%
성 906
 
2.1%
Other values (259) 11529
27.0%
Common
ValueCountFrequency (%)
14270
41.6%
1 3691
 
10.7%
- 2821
 
8.2%
2 2250
 
6.6%
0 1980
 
5.8%
3 1616
 
4.7%
4 1445
 
4.2%
5 1300
 
3.8%
6 1129
 
3.3%
7 1091
 
3.2%
Other values (9) 2745
 
8.0%
Latin
ValueCountFrequency (%)
A 18
41.9%
B 13
30.2%
T 4
 
9.3%
P 4
 
9.3%
L 1
 
2.3%
H 1
 
2.3%
C 1
 
2.3%
S 1
 
2.3%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42766
55.4%
ASCII 34381
44.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14270
41.5%
1 3691
 
10.7%
- 2821
 
8.2%
2 2250
 
6.5%
0 1980
 
5.8%
3 1616
 
4.7%
4 1445
 
4.2%
5 1300
 
3.8%
6 1129
 
3.3%
7 1091
 
3.2%
Other values (17) 2788
 
8.1%
Hangul
ValueCountFrequency (%)
구 6398
15.0%
동 3814
 
8.9%
대 3614
 
8.5%
시 3304
 
7.7%
광 3280
 
7.7%
역 3276
 
7.7%
지 2980
 
7.0%
번 2536
 
5.9%
서 1129
 
2.6%
성 906
 
2.1%
Other values (259) 11529
27.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1752
Distinct (%)94.9%
Missing1425
Missing (%)43.6%
Memory size25.7 KiB
2024-03-13T23:06:09.910156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length27.728602
Min length18

Characters and Unicode

Total characters51187
Distinct characters311
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

Unique1673 ?
Unique (%)90.6%

Sample

1st row대구광역시 중구 동덕로 115 (삼덕동2가, 지하1층)
2nd row대구광역시 중구 국채보상로 723 (동인동4가)
3rd row대구광역시 중구 국채보상로 458, 2층 (대신동)
4th row대구광역시 중구 국채보상로 570-8 (전동)
5th row대구광역시 중구 달구벌대로447길 72-1 (삼덕동3가)
ValueCountFrequency (%)
대구광역시 1846
 
17.7%
달서구 343
 
3.3%
1층 322
 
3.1%
동구 298
 
2.9%
북구 292
 
2.8%
수성구 260
 
2.5%
서구 212
 
2.0%
남구 172
 
1.6%
중구 139
 
1.3%
대명동 123
 
1.2%
Other values (2105) 6422
61.6%
2024-03-13T23:06:10.478555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8583
 
16.8%
구 3771
 
7.4%
동 2432
 
4.8%
대 2345
 
4.6%
1 2085
 
4.1%
시 1882
 
3.7%
역 1854
 
3.6%
광 1849
 
3.6%
( 1836
 
3.6%
) 1836
 
3.6%
Other values (301) 22714
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29630
57.9%
Space Separator 8583
 
16.8%
Decimal Number 7916
 
15.5%
Open Punctuation 1836
 
3.6%
Close Punctuation 1836
 
3.6%
Other Punctuation 1016
 
2.0%
Dash Punctuation 334
 
0.7%
Uppercase Letter 35
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3771
 
12.7%
동 2432
 
8.2%
대 2345
 
7.9%
시 1882
 
6.4%
역 1854
 
6.3%
광 1849
 
6.2%
로 1742
 
5.9%
길 1020
 
3.4%
층 779
 
2.6%
서 722
 
2.4%
Other values (275) 11234
37.9%
Decimal Number
ValueCountFrequency (%)
1 2085
26.3%
2 1183
14.9%
3 930
11.7%
0 649
 
8.2%
4 644
 
8.1%
5 573
 
7.2%
6 540
 
6.8%
7 488
 
6.2%
8 434
 
5.5%
9 390
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 16
45.7%
B 11
31.4%
E 2
 
5.7%
T 2
 
5.7%
P 2
 
5.7%
H 1
 
2.9%
S 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 1013
99.7%
/ 1
 
0.1%
@ 1
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8583
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1836
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1836
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 334
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29630
57.9%
Common 21522
42.0%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3771
 
12.7%
동 2432
 
8.2%
대 2345
 
7.9%
시 1882
 
6.4%
역 1854
 
6.3%
광 1849
 
6.2%
로 1742
 
5.9%
길 1020
 
3.4%
층 779
 
2.6%
서 722
 
2.4%
Other values (275) 11234
37.9%
Common
ValueCountFrequency (%)
8583
39.9%
1 2085
 
9.7%
( 1836
 
8.5%
) 1836
 
8.5%
2 1183
 
5.5%
, 1013
 
4.7%
3 930
 
4.3%
0 649
 
3.0%
4 644
 
3.0%
5 573
 
2.7%
Other values (9) 2190
 
10.2%
Latin
ValueCountFrequency (%)
A 16
45.7%
B 11
31.4%
E 2
 
5.7%
T 2
 
5.7%
P 2
 
5.7%
H 1
 
2.9%
S 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29630
57.9%
ASCII 21557
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8583
39.8%
1 2085
 
9.7%
( 1836
 
8.5%
) 1836
 
8.5%
2 1183
 
5.5%
, 1013
 
4.7%
3 930
 
4.3%
0 649
 
3.0%
4 644
 
3.0%
5 573
 
2.7%
Other values (16) 2225
 
10.3%
Hangul
ValueCountFrequency (%)
구 3771
 
12.7%
동 2432
 
8.2%
대 2345
 
7.9%
시 1882
 
6.4%
역 1854
 
6.3%
광 1849
 
6.2%
로 1742
 
5.9%
길 1020
 
3.4%
층 779
 
2.6%
서 722
 
2.4%
Other values (275) 11234
37.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct865
Distinct (%)47.5%
Missing1451
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean42026.528
Minimum41000
Maximum43164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:10.634935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41119.95
Q141536
median41972
Q342612
95-th percentile42954
Maximum43164
Range2164
Interquartile range (IQR)1076

Descriptive statistics

Standard deviation589.60056
Coefficient of variation (CV)0.014029247
Kurtosis-1.1621991
Mean42026.528
Median Absolute Deviation (MAD)501
Skewness0.017403121
Sum76488281
Variance347628.82
MonotonicityNot monotonic
2024-03-13T23:06:10.771213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41558 9
 
0.3%
41913 9
 
0.3%
41122 9
 
0.3%
42632 8
 
0.2%
42653 8
 
0.2%
42612 8
 
0.2%
41465 8
 
0.2%
42678 7
 
0.2%
42400 7
 
0.2%
41552 7
 
0.2%
Other values (855) 1740
53.2%
(Missing) 1451
44.4%
ValueCountFrequency (%)
41000 3
0.1%
41002 4
0.1%
41005 2
0.1%
41007 3
0.1%
41009 3
0.1%
41011 1
 
< 0.1%
41017 1
 
< 0.1%
41020 1
 
< 0.1%
41026 1
 
< 0.1%
41027 2
0.1%
ValueCountFrequency (%)
43164 3
0.1%
43162 1
 
< 0.1%
43160 2
 
0.1%
43157 1
 
< 0.1%
43149 3
0.1%
43142 2
 
0.1%
43129 2
 
0.1%
43119 2
 
0.1%
43117 1
 
< 0.1%
43115 5
0.2%

사업장명
Text

Distinct2078
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
2024-03-13T23:06:11.052050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length5
Mean length5.1332926
Min length1

Characters and Unicode

Total characters16791
Distinct characters524
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1576 ?
Unique (%)48.2%

Sample

1st row진석이용소
2nd row삼정이용소
3rd row육교이용소
4th row아미가
5th row월드
ValueCountFrequency (%)
이용소 40
 
1.2%
현대이용소 28
 
0.8%
대성이용소 26
 
0.8%
명성이용소 20
 
0.6%
그린이용소 17
 
0.5%
삼성이용소 17
 
0.5%
동원이용소 16
 
0.5%
블루클럽 15
 
0.4%
한일이용소 13
 
0.4%
보성이용소 13
 
0.4%
Other values (2040) 3177
93.9%
2024-03-13T23:06:11.475760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2341
 
13.9%
용 2259
 
13.5%
소 2171
 
12.9%
성 344
 
2.0%
대 308
 
1.8%
동 208
 
1.2%
192
 
1.1%
신 186
 
1.1%
원 179
 
1.1%
천 164
 
1.0%
Other values (514) 8439
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16211
96.5%
Space Separator 192
 
1.1%
Uppercase Letter 141
 
0.8%
Lowercase Letter 97
 
0.6%
Open Punctuation 45
 
0.3%
Close Punctuation 45
 
0.3%
Decimal Number 42
 
0.3%
Other Punctuation 15
 
0.1%
Letter Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2341
 
14.4%
용 2259
 
13.9%
소 2171
 
13.4%
성 344
 
2.1%
대 308
 
1.9%
동 208
 
1.3%
신 186
 
1.1%
원 179
 
1.1%
천 164
 
1.0%
우 154
 
0.9%
Other values (452) 7897
48.7%
Uppercase Letter
ValueCountFrequency (%)
B 17
12.1%
S 12
 
8.5%
A 12
 
8.5%
E 11
 
7.8%
R 11
 
7.8%
O 9
 
6.4%
T 8
 
5.7%
M 7
 
5.0%
G 6
 
4.3%
H 6
 
4.3%
Other values (14) 42
29.8%
Lowercase Letter
ValueCountFrequency (%)
o 13
13.4%
r 12
12.4%
a 11
11.3%
s 9
9.3%
b 9
9.3%
e 8
8.2%
h 7
7.2%
n 7
7.2%
p 6
6.2%
l 4
 
4.1%
Other values (7) 11
11.3%
Decimal Number
ValueCountFrequency (%)
1 10
23.8%
8 8
19.0%
2 7
16.7%
3 6
14.3%
0 6
14.3%
4 2
 
4.8%
5 1
 
2.4%
9 1
 
2.4%
7 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 7
46.7%
' 4
26.7%
& 1
 
6.7%
# 1
 
6.7%
· 1
 
6.7%
, 1
 
6.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16211
96.5%
Common 340
 
2.0%
Latin 240
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2341
 
14.4%
용 2259
 
13.9%
소 2171
 
13.4%
성 344
 
2.1%
대 308
 
1.9%
동 208
 
1.3%
신 186
 
1.1%
원 179
 
1.1%
천 164
 
1.0%
우 154
 
0.9%
Other values (452) 7897
48.7%
Latin
ValueCountFrequency (%)
B 17
 
7.1%
o 13
 
5.4%
r 12
 
5.0%
S 12
 
5.0%
A 12
 
5.0%
a 11
 
4.6%
E 11
 
4.6%
R 11
 
4.6%
s 9
 
3.8%
O 9
 
3.8%
Other values (33) 123
51.2%
Common
ValueCountFrequency (%)
192
56.5%
( 45
 
13.2%
) 45
 
13.2%
1 10
 
2.9%
8 8
 
2.4%
2 7
 
2.1%
. 7
 
2.1%
3 6
 
1.8%
0 6
 
1.8%
' 4
 
1.2%
Other values (9) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16211
96.5%
ASCII 577
 
3.4%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2341
 
14.4%
용 2259
 
13.9%
소 2171
 
13.4%
성 344
 
2.1%
대 308
 
1.9%
동 208
 
1.3%
신 186
 
1.1%
원 179
 
1.1%
천 164
 
1.0%
우 154
 
0.9%
Other values (452) 7897
48.7%
ASCII
ValueCountFrequency (%)
192
33.3%
( 45
 
7.8%
) 45
 
7.8%
B 17
 
2.9%
o 13
 
2.3%
r 12
 
2.1%
S 12
 
2.1%
A 12
 
2.1%
a 11
 
1.9%
E 11
 
1.9%
Other values (49) 207
35.9%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

최종수정시점
Date

Distinct2552
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
Minimum2001-10-06 00:00:00
Maximum2023-12-29 17:32:51
2024-03-13T23:06:11.627468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:06:11.764129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
I
2329 
U
942 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2329
71.2%
U 942
28.8%

Length

2024-03-13T23:06:11.890149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:11.990737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2329
71.2%
u 942
28.8%

데이터갱신일자
Date

Distinct566
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-31 02:40:00
2024-03-13T23:06:12.101939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:06:12.246353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
일반이용업
3234 
이용업 기타
 
37

Length

Max length6
Median length5
Mean length5.0113115
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3234
98.9%
이용업 기타 37
 
1.1%

Length

2024-03-13T23:06:12.385223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:12.523559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3234
97.8%
이용업 37
 
1.1%
기타 37
 
1.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2381
Distinct (%)77.0%
Missing178
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean343085.08
Minimum327557.21
Maximum360658.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:12.660853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327557.21
5-th percentile335170.18
Q1339879.76
median342647.08
Q3346310.94
95-th percentile353109.7
Maximum360658.11
Range33100.906
Interquartile range (IQR)6431.1863

Descriptive statistics

Standard deviation4962.2776
Coefficient of variation (CV)0.014463694
Kurtosis0.45772051
Mean343085.08
Median Absolute Deviation (MAD)3112.0266
Skewness0.093831086
Sum1.0611622 × 109
Variance24624199
MonotonicityNot monotonic
2024-03-13T23:06:12.814389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342056.356661388 10
 
0.3%
338881.747007639 8
 
0.2%
342355.950930826 8
 
0.2%
342647.084475007 7
 
0.2%
344046.261884685 7
 
0.2%
346440.105796948 6
 
0.2%
339440.669923424 6
 
0.2%
342979.501830192 6
 
0.2%
335728.273516917 6
 
0.2%
337346.64886395 6
 
0.2%
Other values (2371) 3023
92.4%
(Missing) 178
 
5.4%
ValueCountFrequency (%)
327557.206608826 1
 
< 0.1%
327693.549167456 1
 
< 0.1%
327698.913649169 1
 
< 0.1%
328243.083724349 1
 
< 0.1%
328293.623590322 3
0.1%
328337.353662064 1
 
< 0.1%
328389.300032891 1
 
< 0.1%
328440.18513358 1
 
< 0.1%
328655.490514703 1
 
< 0.1%
328965.130661119 1
 
< 0.1%
ValueCountFrequency (%)
360658.112653733 1
< 0.1%
358563.649366386 1
< 0.1%
357961.564130322 1
< 0.1%
356728.776844986 1
< 0.1%
356534.131252198 2
0.1%
356515.752177861 1
< 0.1%
356485.853105172 1
< 0.1%
356437.578420985 1
< 0.1%
356428.086600051 1
< 0.1%
356290.801263866 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2381
Distinct (%)77.0%
Missing178
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean263948.33
Minimum238769.81
Maximum307140.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:12.982227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257678.97
Q1261605.69
median263818.04
Q3265789.68
95-th percentile271230.71
Maximum307140.85
Range68371.039
Interquartile range (IQR)4183.9813

Descriptive statistics

Standard deviation5705.752
Coefficient of variation (CV)0.021616928
Kurtosis19.336376
Mean263948.33
Median Absolute Deviation (MAD)2109.5258
Skewness2.3285263
Sum8.1639219 × 108
Variance32555606
MonotonicityNot monotonic
2024-03-13T23:06:13.436354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261454.668093245 10
 
0.3%
261852.136015552 8
 
0.2%
261485.129229362 8
 
0.2%
261852.098143208 7
 
0.2%
261742.707245162 7
 
0.2%
267083.375923729 6
 
0.2%
261637.957403825 6
 
0.2%
262488.906250829 6
 
0.2%
262684.165543172 6
 
0.2%
258035.007517312 6
 
0.2%
Other values (2371) 3023
92.4%
(Missing) 178
 
5.4%
ValueCountFrequency (%)
238769.812521748 3
0.1%
238810.5377739 1
 
< 0.1%
240701.340010657 1
 
< 0.1%
240715.264385673 1
 
< 0.1%
240837.868214765 1
 
< 0.1%
240992.822164019 1
 
< 0.1%
241925.497217826 1
 
< 0.1%
242247.963900382 1
 
< 0.1%
242378.729863202 1
 
< 0.1%
242604.778959053 1
 
< 0.1%
ValueCountFrequency (%)
307140.851664513 1
< 0.1%
307003.747277955 1
< 0.1%
306917.312354749 1
< 0.1%
305484.658215164 1
< 0.1%
305399.847426175 1
< 0.1%
305349.664804815 2
0.1%
305196.555870712 1
< 0.1%
305111.215214976 1
< 0.1%
305104.520719687 1
< 0.1%
304931.89959085 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
일반이용업
3234 
이용업 기타
 
37

Length

Max length6
Median length5
Mean length5.0113115
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3234
98.9%
이용업 기타 37
 
1.1%

Length

2024-03-13T23:06:13.581152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:13.694078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3234
97.8%
이용업 37
 
1.1%
기타 37
 
1.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)0.8%
Missing573
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean2.5222387
Minimum0
Maximum35
Zeros697
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:13.787442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile6
Maximum35
Range35
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5463567
Coefficient of variation (CV)1.0095621
Kurtosis36.690562
Mean2.5222387
Median Absolute Deviation (MAD)2
Skewness3.9484686
Sum6805
Variance6.4839324
MonotonicityNot monotonic
2024-03-13T23:06:13.899406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 697
21.3%
3 560
17.1%
2 530
16.2%
4 346
10.6%
5 223
 
6.8%
1 185
 
5.7%
6 59
 
1.8%
7 31
 
0.9%
9 23
 
0.7%
10 15
 
0.5%
Other values (12) 29
 
0.9%
(Missing) 573
17.5%
ValueCountFrequency (%)
0 697
21.3%
1 185
 
5.7%
2 530
16.2%
3 560
17.1%
4 346
10.6%
5 223
 
6.8%
6 59
 
1.8%
7 31
 
0.9%
8 11
 
0.3%
9 23
 
0.7%
ValueCountFrequency (%)
35 2
0.1%
31 1
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
23 1
 
< 0.1%
20 3
0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
15 3
0.1%
12 1
 
< 0.1%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.4%
Missing935
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.5359589
Minimum-1
Maximum9
Zeros1291
Zeros (%)39.5%
Negative1
Negative (%)< 0.1%
Memory size28.9 KiB
2024-03-13T23:06:14.018004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.75895213
Coefficient of variation (CV)1.416064
Kurtosis19.227128
Mean0.5359589
Median Absolute Deviation (MAD)0
Skewness3.0197041
Sum1252
Variance0.57600833
MonotonicityNot monotonic
2024-03-13T23:06:14.129067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1291
39.5%
1 915
28.0%
2 96
 
2.9%
4 14
 
0.4%
3 9
 
0.3%
5 3
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
9 1
 
< 0.1%
-1 1
 
< 0.1%
(Missing) 935
28.6%
ValueCountFrequency (%)
-1 1
 
< 0.1%
0 1291
39.5%
1 915
28.0%
2 96
 
2.9%
3 9
 
0.3%
4 14
 
0.4%
5 3
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 3
 
0.1%
6 3
 
0.1%
5 3
 
0.1%
4 14
 
0.4%
3 9
 
0.3%
2 96
 
2.9%
1 915
28.0%
0 1291
39.5%
-1 1
 
< 0.1%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.4%
Missing805
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean1.2956204
Minimum0
Maximum9
Zeros584
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:14.227289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2490147
Coefficient of variation (CV)0.96402821
Kurtosis5.7851532
Mean1.2956204
Median Absolute Deviation (MAD)1
Skewness1.9046734
Sum3195
Variance1.5600376
MonotonicityNot monotonic
2024-03-13T23:06:14.349662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 1163
35.6%
0 584
17.9%
2 378
 
11.6%
3 211
 
6.5%
4 71
 
2.2%
5 28
 
0.9%
8 12
 
0.4%
6 12
 
0.4%
7 6
 
0.2%
9 1
 
< 0.1%
(Missing) 805
24.6%
ValueCountFrequency (%)
0 584
17.9%
1 1163
35.6%
2 378
 
11.6%
3 211
 
6.5%
4 71
 
2.2%
5 28
 
0.9%
6 12
 
0.4%
7 6
 
0.2%
8 12
 
0.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 12
 
0.4%
7 6
 
0.2%
6 12
 
0.4%
5 28
 
0.9%
4 71
 
2.2%
3 211
 
6.5%
2 378
 
11.6%
1 1163
35.6%
0 584
17.9%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing1035
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean1.411449
Minimum0
Maximum8
Zeros369
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:14.483143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2289329
Coefficient of variation (CV)0.87068882
Kurtosis5.5419731
Mean1.411449
Median Absolute Deviation (MAD)0
Skewness1.8964249
Sum3156
Variance1.510276
MonotonicityNot monotonic
2024-03-13T23:06:14.629330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1160
35.5%
2 375
 
11.5%
0 369
 
11.3%
3 201
 
6.1%
4 70
 
2.1%
5 31
 
0.9%
6 13
 
0.4%
8 11
 
0.3%
7 6
 
0.2%
(Missing) 1035
31.6%
ValueCountFrequency (%)
0 369
 
11.3%
1 1160
35.5%
2 375
 
11.5%
3 201
 
6.1%
4 70
 
2.1%
5 31
 
0.9%
6 13
 
0.4%
7 6
 
0.2%
8 11
 
0.3%
ValueCountFrequency (%)
8 11
 
0.3%
7 6
 
0.2%
6 13
 
0.4%
5 31
 
0.9%
4 70
 
2.1%
3 201
 
6.1%
2 375
 
11.5%
1 1160
35.5%
0 369
 
11.3%

사용시작지하층
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
0
1696 
<NA>
1376 
1
193 
2
 
5
6
 
1

Length

Max length4
Median length1
Mean length2.2619994
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1696
51.8%
<NA> 1376
42.1%
1 193
 
5.9%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2024-03-13T23:06:14.809280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:14.932962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1696
51.8%
na 1376
42.1%
1 193
 
5.9%
2 5
 
0.2%
6 1
 
< 0.1%

사용끝지하층
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
1682 
0
1350 
1
233 
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length2.5426475
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1682
51.4%
0 1350
41.3%
1 233
 
7.1%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2024-03-13T23:06:15.052584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:15.158221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1682
51.4%
0 1350
41.3%
1 233
 
7.1%
2 5
 
0.2%
6 1
 
< 0.1%

의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.5%
Missing348
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.4344851
Minimum0
Maximum18
Zeros195
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:15.256055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.510771
Coefficient of variation (CV)0.73104729
Kurtosis1.9763945
Mean3.4344851
Median Absolute Deviation (MAD)1
Skewness1.3637833
Sum10039
Variance6.3039712
MonotonicityNot monotonic
2024-03-13T23:06:15.373099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 750
22.9%
2 706
21.6%
4 372
11.4%
1 285
 
8.7%
0 195
 
6.0%
5 128
 
3.9%
6 106
 
3.2%
8 99
 
3.0%
7 96
 
2.9%
9 92
 
2.8%
Other values (6) 94
 
2.9%
(Missing) 348
10.6%
ValueCountFrequency (%)
0 195
 
6.0%
1 285
 
8.7%
2 706
21.6%
3 750
22.9%
4 372
11.4%
5 128
 
3.9%
6 106
 
3.2%
7 96
 
2.9%
8 99
 
3.0%
9 92
 
2.8%
ValueCountFrequency (%)
18 1
 
< 0.1%
15 2
 
0.1%
13 4
 
0.1%
12 22
 
0.7%
11 22
 
0.7%
10 43
1.3%
9 92
2.8%
8 99
3.0%
7 96
2.9%
6 106
3.2%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3271
Missing (%)100.0%
Memory size28.9 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
1690 
임대
1438 
자가
 
143

Length

Max length4
Median length4
Mean length3.0333231
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1690
51.7%
임대 1438
44.0%
자가 143
 
4.4%

Length

2024-03-13T23:06:15.512995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:15.630630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1690
51.7%
임대 1438
44.0%
자가 143
 
4.4%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2628 
0
522 
1
 
116
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length3.4102721
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2628
80.3%
0 522
 
16.0%
1 116
 
3.5%
2 4
 
0.1%
3 1
 
< 0.1%

Length

2024-03-13T23:06:15.783421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:15.887479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2628
80.3%
0 522
 
16.0%
1 116
 
3.5%
2 4
 
0.1%
3 1
 
< 0.1%

남성종사자수
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.7 KiB
<NA>
2529 
0
454 
1
282 
2
 
6

Length

Max length4
Median length4
Mean length3.3194742
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2529
77.3%
0 454
 
13.9%
1 282
 
8.6%
2 6
 
0.2%

Length

2024-03-13T23:06:15.997372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:06:16.097262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2529
77.3%
0 454
 
13.9%
1 282
 
8.6%
2 6
 
0.2%

침대수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.5%
Missing1761
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean0.052980132
Minimum0
Maximum8
Zeros1493
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size28.9 KiB
2024-03-13T23:06:16.217635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.569702
Coefficient of variation (CV)10.753125
Kurtosis141.28043
Mean0.052980132
Median Absolute Deviation (MAD)0
Skewness11.742146
Sum80
Variance0.32456036
MonotonicityNot monotonic
2024-03-13T23:06:16.405404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1493
45.6%
7 5
 
0.2%
2 3
 
0.1%
1 3
 
0.1%
8 2
 
0.1%
6 2
 
0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 1761
53.8%
ValueCountFrequency (%)
0 1493
45.6%
1 3
 
0.1%
2 3
 
0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
0.1%
7 5
 
0.2%
8 2
 
0.1%
ValueCountFrequency (%)
8 2
 
0.1%
7 5
 
0.2%
6 2
 
0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
2 3
 
0.1%
1 3
 
0.1%
0 1493
45.6%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
3270 
True
 
1
ValueCountFrequency (%)
False 3270
> 99.9%
True 1
 
< 0.1%
2024-03-13T23:06:16.537632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명여성종사자수남성종사자수침대수다중이용업소여부
01이용업05_19_01_P34100003410000-203-2010-000022010-04-14<NA>3폐업2폐업2017-04-05<NA><NA><NA><NA>6.45700-412대구광역시 중구 삼덕동2가 0210-0001번지 지하1층대구광역시 중구 동덕로 115 (삼덕동2가, 지하1층)41940진석이용소2017-04-05 16:22:01I2018-08-31 23:59:59일반이용업344686.259338263958.880864일반이용업20100111<NA><NA><NA>임대<NA>10N
12이용업05_19_01_P34100003410000-203-2008-000032008-06-04<NA>3폐업2폐업2010-08-09<NA><NA><NA><NA>9.36700-261대구광역시 중구 서성로1가 0109-0001번지 (2층)<NA><NA>삼정이용소2010-06-14 14:41:40I2018-08-31 23:59:59일반이용업343315.940921264622.218272일반이용업5122001<NA><NA><NA><NA><NA><NA><NA>N
23이용업05_19_01_P34100003410000-203-2010-000032010-10-20<NA>3폐업2폐업2013-01-22<NA><NA><NA><NA>12.6700-848대구광역시 중구 동인동4가 0347-0001번지대구광역시 중구 국채보상로 723 (동인동4가)41907육교이용소2012-02-08 11:35:38I2018-08-31 23:59:59일반이용업345308.284791264380.077089일반이용업0011001<NA><NA><NA>임대<NA><NA>0N
34이용업05_19_01_P34100003410000-203-2010-000042010-10-25<NA>3폐업2폐업2010-12-15<NA><NA><NA><NA>6.2700-802대구광역시 중구 남산동 0693-0008번지 지상2층<NA><NA>아미가2010-10-28 09:18:11I2018-08-31 23:59:59일반이용업343879.713037263432.678243일반이용업0022002<NA><NA><NA>임대<NA><NA>0N
45이용업05_19_01_P34100003410000-203-2001-000012001-03-26<NA>3폐업2폐업2011-01-20<NA><NA><NA>053 257295539.6700-850대구광역시 중구 수창동 0099-0002번지<NA><NA>월드2010-10-26 12:12:54I2018-08-31 23:59:59일반이용업343287.506361264938.059384일반이용업31<NA><NA>118<NA><NA><NA><NA><NA><NA><NA>N
56이용업05_19_01_P34100003410000-203-2010-000052010-11-24<NA>3폐업2폐업2012-07-26<NA><NA><NA><NA>56.1700-320대구광역시 중구 대신동 0115-0005번지 지상2층대구광역시 중구 국채보상로 458, 2층 (대신동)41926서남이용소2012-02-08 11:36:11I2018-08-31 23:59:59일반이용업342714.834681264487.841783일반이용업9022007<NA><NA><NA><NA><NA><NA>0N
67이용업05_19_01_P34100003410000-203-1982-000041982-08-18<NA>3폐업2폐업2009-08-17<NA><NA><NA>053 253603731.32700-832대구광역시 중구 남산동 698-22번지<NA><NA>정2008-10-21 11:32:37I2018-08-31 23:59:59일반이용업343722.34105263487.941195일반이용업<NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA>N
78이용업05_19_01_P34100003410000-203-2008-000052008-09-18<NA>3폐업2폐업2010-10-15<NA><NA><NA><NA>4.32700-821대구광역시 중구 동산동 0360번지 지하1층<NA><NA>엘디스리젠트2009-03-10 14:01:31I2018-08-31 23:59:59일반이용업343184.151781264080.683793일반이용업8100111<NA><NA><NA>임대<NA><NA><NA>N
89이용업05_19_01_P34100003410000-203-2004-000042004-06-30<NA>3폐업2폐업2014-04-10<NA><NA><NA>053 4233939102.0700-030대구광역시 중구 전동 0035번지대구광역시 중구 국채보상로 570-8 (전동)41935새중앙2012-02-08 11:27:55I2018-08-31 23:59:59일반이용업343774.488375264525.318535일반이용업0000115<NA><NA><NA><NA><NA><NA>0N
910이용업05_19_01_P34100003410000-203-2009-000032009-08-11<NA>3폐업2폐업2009-09-28<NA><NA><NA><NA>6.0700-810대구광역시 중구 대봉동 0044-0010번지 청운상가 305호<NA><NA>코스팜코리아2009-08-12 17:10:18I2018-08-31 23:59:59일반이용업344728.621174263286.553667일반이용업3133001<NA><NA><NA><NA><NA>10N
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명여성종사자수남성종사자수침대수다중이용업소여부
32613262이용업05_19_01_P51410005141000-203-2006-000012006-06-30<NA>3폐업2폐업2006-09-20<NA><NA><NA>054 382350054.0<NA>대구광역시 군위군 부계면 창평리 1013<NA><NA>부계이용소2006-06-30 00:00:00I2023-07-01 16:42:10일반이용업349944.481594289973.320795일반이용업0000002<NA><NA><NA><NA>000N
32623263이용업05_19_01_P51410005141000-203-2007-000022007-11-13<NA>3폐업2폐업2011-02-28<NA><NA><NA>054 383 599717.2<NA>대구광역시 군위군 군위읍 서부리 249-1<NA><NA>보름이 이발소2007-11-13 11:36:34I2023-07-01 15:23:19일반이용업<NA><NA>일반이용업1000002<NA><NA><NA><NA>000N
32633264이용업05_19_01_P51410005141000-203-1984-000021984-05-15<NA>3폐업2폐업2023-11-28<NA><NA><NA>382127120.65<NA>대구광역시 군위군 삼국유사면 화북리 156-2대구광역시 군위군 삼국유사면 삼국유사로 35043157고로이용소2023-11-28 11:01:43U2023-11-30 02:40:00일반이용업360658.112654292769.496639일반이용업0000002<NA><NA><NA><NA>000N
32643265이용업05_19_01_P51410005141000-203-2008-000012008-04-29<NA>3폐업2폐업2013-01-16<NA><NA><NA>054 382352235.0<NA>대구광역시 군위군 우보면 이화리 1284-1대구광역시 군위군 우보면 이화3길 943142비타민이발2013-01-08 10:27:24I2023-07-01 16:42:10일반이용업349694.706829300647.405584일반이용업0000002<NA><NA><NA><NA>000N
32653266이용업05_19_01_P51410005141000-203-2009-000012009-04-02<NA>3폐업2폐업2011-09-30<NA><NA><NA><NA>22.36<NA>대구광역시 군위군 효령면 고곡리 370-1<NA><NA>나들목2009-04-02 17:38:03I2023-07-01 16:42:10일반이용업341815.606506292087.0958일반이용업0000002<NA><NA><NA><NA>000N
32663267이용업05_19_01_P51410005141000-203-2017-000012017-11-13<NA>3폐업2폐업2019-06-03<NA><NA><NA><NA>9.0<NA>대구광역시 군위군 부계면 춘산리 33-2 백송스파비스관광호텔대구광역시 군위군 부계면 한티로 224443164백송호텔 이용소2019-06-03 18:25:37I2023-07-01 16:42:10일반이용업349501.484609286608.428033일반이용업0000002<NA><NA><NA>임대000N
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