Overview

Dataset statistics

Number of variables32
Number of observations33
Missing cells251
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory278.9 B

Variable types

Numeric9
Categorical12
Unsupported6
Text4
DateTime1

Dataset

Description22년06월_6270000_대구광역시_02_03_12_P_동물운송업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093699&dataSetDetailId=DDI_0000093737&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
소재지면적 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
업무구분명 has constant value ""Constant
상세업무구분명 has constant value ""Constant
총종업원수 has constant value ""Constant
권리주체일련번호 is highly imbalanced (67.0%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 21 (63.6%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
소재지전화 has 30 (90.9%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.0%) missing valuesMissing
좌표정보(Y) has 1 (3.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
도로명전체주소 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
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

Reproduction

Analysis started2024-04-21 19:48:00.631725
Analysis finished2024-04-21 19:48:01.324952
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:01.436580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2024-04-22T04:48:01.658430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
동물운송업
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물운송업 33
100.0%

Length

2024-04-22T04:48:01.885581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:02.046789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물운송업 33
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
02_03_12_P
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_12_P
2nd row02_03_12_P
3rd row02_03_12_P
4th row02_03_12_P
5th row02_03_12_P

Common Values

ValueCountFrequency (%)
02_03_12_P 33
100.0%

Length

2024-04-22T04:48:02.221911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:02.384951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_12_p 33
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3454848.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:02.536611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21523.419
Coefficient of variation (CV)0.006229917
Kurtosis-1.0119427
Mean3454848.5
Median Absolute Deviation (MAD)20000
Skewness-0.41833054
Sum1.1401 × 108
Variance4.6325758 × 108
MonotonicityIncreasing
2024-04-22T04:48:02.730257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3480000 8
24.2%
3440000 7
21.2%
3460000 6
18.2%
3470000 5
15.2%
3420000 3
 
9.1%
3430000 2
 
6.1%
3410000 1
 
3.0%
3450000 1
 
3.0%
ValueCountFrequency (%)
3410000 1
 
3.0%
3420000 3
 
9.1%
3430000 2
 
6.1%
3440000 7
21.2%
3450000 1
 
3.0%
3460000 6
18.2%
3470000 5
15.2%
3480000 8
24.2%
ValueCountFrequency (%)
3480000 8
24.2%
3470000 5
15.2%
3460000 6
18.2%
3450000 1
 
3.0%
3440000 7
21.2%
3430000 2
 
6.1%
3420000 3
 
9.1%
3410000 1
 
3.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4548485 × 1017
Minimum3.4100001 × 1017
Maximum3.4800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:02.954387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100001 × 1017
5-th percentile3.4200001 × 1017
Q13.4400001 × 1017
median3.4600001 × 1017
Q33.4700001 × 1017
95-th percentile3.4800001 × 1017
Maximum3.4800001 × 1017
Range7 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.1523419 × 1015
Coefficient of variation (CV)0.0062299169
Kurtosis-1.0119427
Mean3.4548485 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.41833054
Sum-7.0457439 × 1018
Variance4.6325758 × 1030
MonotonicityNot monotonic
2024-04-22T04:48:03.187076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
341000005020180018 1
 
3.0%
348000005020190002 1
 
3.0%
346000005020200018 1
 
3.0%
347000005020180097 1
 
3.0%
347000005020200027 1
 
3.0%
347000005020180038 1
 
3.0%
347000005020210002 1
 
3.0%
347000005020200012 1
 
3.0%
348000005020180040 1
 
3.0%
342000005020210007 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
341000005020180018 1
3.0%
342000005020190016 1
3.0%
342000005020200008 1
3.0%
342000005020210007 1
3.0%
343000005020190005 1
3.0%
343000005020200002 1
3.0%
344000005020190003 1
3.0%
344000005020190007 1
3.0%
344000005020190012 1
3.0%
344000005020210002 1
3.0%
ValueCountFrequency (%)
348000005020220001 1
3.0%
348000005020210011 1
3.0%
348000005020200017 1
3.0%
348000005020200014 1
3.0%
348000005020200005 1
3.0%
348000005020190002 1
3.0%
348000005020180040 1
3.0%
348000005020180014 1
3.0%
347000005020210002 1
3.0%
347000005020200027 1
3.0%

인허가일자
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20199450
Minimum20180417
Maximum20220531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:03.430652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180417
5-th percentile20180782
Q120190503
median20200630
Q320210302
95-th percentile20220269
Maximum20220531
Range40114
Interquartile range (IQR)19799

Descriptive statistics

Standard deviation12348.504
Coefficient of variation (CV)0.00061132873
Kurtosis-0.93407196
Mean20199450
Median Absolute Deviation (MAD)10082
Skewness-0.083813966
Sum6.6658186 × 108
Variance1.5248556 × 108
MonotonicityNot monotonic
2024-04-22T04:48:03.678424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20200622 2
 
6.1%
20180827 1
 
3.0%
20190103 1
 
3.0%
20200630 1
 
3.0%
20181211 1
 
3.0%
20201209 1
 
3.0%
20180719 1
 
3.0%
20210115 1
 
3.0%
20200609 1
 
3.0%
20180829 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
20180417 1
3.0%
20180719 1
3.0%
20180824 1
3.0%
20180827 1
3.0%
20180829 1
3.0%
20181211 1
3.0%
20190103 1
3.0%
20190111 1
3.0%
20190503 1
3.0%
20190510 1
3.0%
ValueCountFrequency (%)
20220531 1
3.0%
20220504 1
3.0%
20220112 1
3.0%
20210910 1
3.0%
20210806 1
3.0%
20210805 1
3.0%
20210712 1
3.0%
20210331 1
3.0%
20210302 1
3.0%
20210203 1
3.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size425.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
1
21 
3
12 

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 21
63.6%
3 12
36.4%

Length

2024-04-22T04:48:03.916489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:04.087863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
63.6%
3 12
36.4%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
영업/정상
21 
폐업
12 

Length

Max length5
Median length5
Mean length3.9090909
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 21
63.6%
폐업 12
36.4%

Length

2024-04-22T04:48:04.270381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:04.447672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
63.6%
폐업 12
36.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
0
21 
2
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
63.6%
2 12
36.4%

Length

2024-04-22T04:48:04.624832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:04.796906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
63.6%
2 12
36.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
정상
21 
폐업
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 21
63.6%
폐업 12
36.4%

Length

2024-04-22T04:48:04.971721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:05.139230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 21
63.6%
폐업 12
36.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing21
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean20207942
Minimum20181231
Maximum20220609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:05.307979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181231
5-th percentile20191616
Q120200595
median20210215
Q320212985
95-th percentile20220551
Maximum20220609
Range39378
Interquartile range (IQR)12389.75

Descriptive statistics

Standard deviation11194.33
Coefficient of variation (CV)0.00055395699
Kurtosis1.9024994
Mean20207942
Median Absolute Deviation (MAD)9643
Skewness-1.1233158
Sum2.424953 × 108
Variance1.2531303 × 108
MonotonicityNot monotonic
2024-04-22T04:48:05.524075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20210604 1
 
3.0%
20220127 1
 
3.0%
20210122 1
 
3.0%
20220609 1
 
3.0%
20200526 1
 
3.0%
20210305 1
 
3.0%
20220504 1
 
3.0%
20210125 1
 
3.0%
20181231 1
 
3.0%
20200113 1
 
3.0%
Other values (2) 2
 
6.1%
(Missing) 21
63.6%
ValueCountFrequency (%)
20181231 1
3.0%
20200113 1
3.0%
20200526 1
3.0%
20200618 1
3.0%
20210122 1
3.0%
20210125 1
3.0%
20210305 1
3.0%
20210415 1
3.0%
20210604 1
3.0%
20220127 1
3.0%
ValueCountFrequency (%)
20220609 1
3.0%
20220504 1
3.0%
20220127 1
3.0%
20210604 1
3.0%
20210415 1
3.0%
20210305 1
3.0%
20210125 1
3.0%
20210122 1
3.0%
20200618 1
3.0%
20200526 1
3.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size425.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size425.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size425.0 B

소재지전화
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing30
Missing (%)90.9%
Memory size392.0 B
2024-04-22T04:48:05.971577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.333333
Min length10

Characters and Unicode

Total characters34
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row053-586-3512
2nd row0532677766
3rd row053-761-7979
ValueCountFrequency (%)
053-586-3512 1
33.3%
0532677766 1
33.3%
053-761-7979 1
33.3%
2024-04-22T04:48:06.718630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6
17.6%
5 5
14.7%
6 5
14.7%
3 4
11.8%
- 4
11.8%
0 3
8.8%
1 2
 
5.9%
2 2
 
5.9%
9 2
 
5.9%
8 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
88.2%
Dash Punctuation 4
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
20.0%
5 5
16.7%
6 5
16.7%
3 4
13.3%
0 3
10.0%
1 2
 
6.7%
2 2
 
6.7%
9 2
 
6.7%
8 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6
17.6%
5 5
14.7%
6 5
14.7%
3 4
11.8%
- 4
11.8%
0 3
8.8%
1 2
 
5.9%
2 2
 
5.9%
9 2
 
5.9%
8 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6
17.6%
5 5
14.7%
6 5
14.7%
3 4
11.8%
- 4
11.8%
0 3
8.8%
1 2
 
5.9%
2 2
 
5.9%
9 2
 
5.9%
8 1
 
2.9%

소재지면적
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
0
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 33
100.0%

Length

2024-04-22T04:48:06.928450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:07.093919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size425.0 B

소재지전체주소
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-04-22T04:48:07.741540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length34
Mean length27.242424
Min length18

Characters and Unicode

Total characters899
Distinct characters104
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

Unique31 ?
Unique (%)93.9%

Sample

1st row대구광역시 중구 남산동 ****-*
2nd row대구광역시 동구 각산동 ****-* ***호
3rd row대구광역시 동구 신천동 ***-*
4th row대구광역시 동구 신암동 ***-* 그랜드 파크
5th row대구광역시 서구 평리동 ***-* ***호
ValueCountFrequency (%)
대구광역시 33
18.1%
33
18.1%
호 12
 
6.6%
달성군 8
 
4.4%
남구 7
 
3.8%
동 7
 
3.8%
수성구 6
 
3.3%
달서구 5
 
2.7%
대명동 5
 
2.7%
층 4
 
2.2%
Other values (50) 62
34.1%
2024-04-22T04:48:08.723465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 211
23.5%
170
18.9%
구 62
 
6.9%
대 42
 
4.7%
동 35
 
3.9%
역 34
 
3.8%
광 33
 
3.7%
시 33
 
3.7%
- 22
 
2.4%
성 16
 
1.8%
Other values (94) 241
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 496
55.2%
Other Punctuation 211
23.5%
Space Separator 170
 
18.9%
Dash Punctuation 22
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 62
 
12.5%
대 42
 
8.5%
동 35
 
7.1%
역 34
 
6.9%
광 33
 
6.7%
시 33
 
6.7%
성 16
 
3.2%
호 13
 
2.6%
달 13
 
2.6%
리 12
 
2.4%
Other values (91) 203
40.9%
Other Punctuation
ValueCountFrequency (%)
* 211
100.0%
Space Separator
ValueCountFrequency (%)
170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 496
55.2%
Common 403
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 62
 
12.5%
대 42
 
8.5%
동 35
 
7.1%
역 34
 
6.9%
광 33
 
6.7%
시 33
 
6.7%
성 16
 
3.2%
호 13
 
2.6%
달 13
 
2.6%
리 12
 
2.4%
Other values (91) 203
40.9%
Common
ValueCountFrequency (%)
* 211
52.4%
170
42.2%
- 22
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 496
55.2%
ASCII 403
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 211
52.4%
170
42.2%
- 22
 
5.5%
Hangul
ValueCountFrequency (%)
구 62
 
12.5%
대 42
 
8.5%
동 35
 
7.1%
역 34
 
6.9%
광 33
 
6.7%
시 33
 
6.7%
성 16
 
3.2%
호 13
 
2.6%
달 13
 
2.6%
리 12
 
2.4%
Other values (91) 203
40.9%

도로명전체주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-04-22T04:48:09.577439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length40
Mean length33.484848
Min length21

Characters and Unicode

Total characters1105
Distinct characters134
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 남산로*길 **-* (남산동)
2nd row대구광역시 동구 이노밸리로**길 **, ***호 (각산동)
3rd row대구광역시 동구 장등로 **, *층 (신천동)
4th row대구광역시 동구 아양로**길 *, ***호 (신암동, 그랜드 파크)
5th row대구광역시 서구 통학로 ***, ***호 (평리동)
ValueCountFrequency (%)
대구광역시 33
 
15.2%
33
 
15.2%
호 14
 
6.5%
층 10
 
4.6%
달성군 8
 
3.7%
동 8
 
3.7%
남구 7
 
3.2%
수성구 6
 
2.8%
달서구 5
 
2.3%
대명동 5
 
2.3%
Other values (76) 88
40.6%
2024-04-22T04:48:10.684581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 198
17.9%
184
16.7%
구 62
 
5.6%
대 49
 
4.4%
동 37
 
3.3%
역 35
 
3.2%
광 33
 
3.0%
시 33
 
3.0%
로 31
 
2.8%
( 30
 
2.7%
Other values (124) 413
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 626
56.7%
Other Punctuation 228
 
20.6%
Space Separator 184
 
16.7%
Open Punctuation 30
 
2.7%
Close Punctuation 30
 
2.7%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 62
 
9.9%
대 49
 
7.8%
동 37
 
5.9%
역 35
 
5.6%
광 33
 
5.3%
시 33
 
5.3%
로 31
 
5.0%
길 19
 
3.0%
성 17
 
2.7%
호 15
 
2.4%
Other values (118) 295
47.1%
Other Punctuation
ValueCountFrequency (%)
* 198
86.8%
, 30
 
13.2%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 626
56.7%
Common 479
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 62
 
9.9%
대 49
 
7.8%
동 37
 
5.9%
역 35
 
5.6%
광 33
 
5.3%
시 33
 
5.3%
로 31
 
5.0%
길 19
 
3.0%
성 17
 
2.7%
호 15
 
2.4%
Other values (118) 295
47.1%
Common
ValueCountFrequency (%)
* 198
41.3%
184
38.4%
( 30
 
6.3%
, 30
 
6.3%
) 30
 
6.3%
- 7
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 626
56.7%
ASCII 479
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 198
41.3%
184
38.4%
( 30
 
6.3%
, 30
 
6.3%
) 30
 
6.3%
- 7
 
1.5%
Hangul
ValueCountFrequency (%)
구 62
 
9.9%
대 49
 
7.8%
동 37
 
5.9%
역 35
 
5.6%
광 33
 
5.3%
시 33
 
5.3%
로 31
 
5.0%
길 19
 
3.0%
성 17
 
2.7%
호 15
 
2.4%
Other values (118) 295
47.1%

도로명우편번호
Real number (ℝ)

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42359.758
Minimum41065
Maximum43016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:10.909525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41065
5-th percentile41240.4
Q142068
median42492
Q342842
95-th percentile42977.2
Maximum43016
Range1951
Interquartile range (IQR)774

Descriptive statistics

Standard deviation549.10461
Coefficient of variation (CV)0.012962884
Kurtosis0.035810843
Mean42359.758
Median Absolute Deviation (MAD)424
Skewness-0.8614777
Sum1397872
Variance301515.88
MonotonicityNot monotonic
2024-04-22T04:48:11.150735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
42503 2
 
6.1%
42615 2
 
6.1%
41972 1
 
3.0%
42199 1
 
3.0%
42952 1
 
3.0%
42917 1
 
3.0%
42951 1
 
3.0%
43015 1
 
3.0%
42922 1
 
3.0%
42938 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
41065 1
3.0%
41208 1
3.0%
41262 1
3.0%
41452 1
3.0%
41786 1
3.0%
41843 1
3.0%
41972 1
3.0%
42027 1
3.0%
42068 1
3.0%
42133 1
3.0%
ValueCountFrequency (%)
43016 1
3.0%
43015 1
3.0%
42952 1
3.0%
42951 1
3.0%
42938 1
3.0%
42927 1
3.0%
42922 1
3.0%
42917 1
3.0%
42842 1
3.0%
42758 1
3.0%

사업장명
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-04-22T04:48:11.820558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length4.969697
Min length2

Characters and Unicode

Total characters164
Distinct characters83
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)87.9%

Sample

1st row도그스테이
2nd row이재룡의 뭉개뭉개 유치원
3rd row간지나개
4th row펫콜
5th row고고펫
ValueCountFrequency (%)
모모댕댕 2
 
5.0%
펫콜 2
 
5.0%
원쿡 2
 
5.0%
펫택시 2
 
5.0%
모시개냥 2
 
5.0%
모코모코 1
 
2.5%
call 1
 
2.5%
pet 1
 
2.5%
부르멍 1
 
2.5%
씨에이로드 1
 
2.5%
Other values (25) 25
62.5%
2024-04-22T04:48:12.688889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
모 10
 
6.1%
펫 10
 
6.1%
이 8
 
4.9%
7
 
4.3%
시 6
 
3.7%
개 6
 
3.7%
냥 4
 
2.4%
댕 4
 
2.4%
지 4
 
2.4%
원 3
 
1.8%
Other values (73) 102
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
83.5%
Decimal Number 9
 
5.5%
Space Separator 7
 
4.3%
Uppercase Letter 7
 
4.3%
Close Punctuation 2
 
1.2%
Open Punctuation 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 10
 
7.3%
펫 10
 
7.3%
이 8
 
5.8%
시 6
 
4.4%
개 6
 
4.4%
냥 4
 
2.9%
댕 4
 
2.9%
지 4
 
2.9%
원 3
 
2.2%
그 3
 
2.2%
Other values (59) 79
57.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
T 1
14.3%
A 1
14.3%
C 1
14.3%
P 1
14.3%
E 1
14.3%
Decimal Number
ValueCountFrequency (%)
4 2
22.2%
8 2
22.2%
6 2
22.2%
1 2
22.2%
9 1
11.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
83.5%
Common 20
 
12.2%
Latin 7
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 10
 
7.3%
펫 10
 
7.3%
이 8
 
5.8%
시 6
 
4.4%
개 6
 
4.4%
냥 4
 
2.9%
댕 4
 
2.9%
지 4
 
2.9%
원 3
 
2.2%
그 3
 
2.2%
Other values (59) 79
57.7%
Common
ValueCountFrequency (%)
7
35.0%
) 2
 
10.0%
4 2
 
10.0%
8 2
 
10.0%
6 2
 
10.0%
1 2
 
10.0%
( 2
 
10.0%
9 1
 
5.0%
Latin
ValueCountFrequency (%)
L 2
28.6%
T 1
14.3%
A 1
14.3%
C 1
14.3%
P 1
14.3%
E 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
83.5%
ASCII 27
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
모 10
 
7.3%
펫 10
 
7.3%
이 8
 
5.8%
시 6
 
4.4%
개 6
 
4.4%
냥 4
 
2.9%
댕 4
 
2.9%
지 4
 
2.9%
원 3
 
2.2%
그 3
 
2.2%
Other values (59) 79
57.7%
ASCII
ValueCountFrequency (%)
7
25.9%
) 2
 
7.4%
4 2
 
7.4%
8 2
 
7.4%
6 2
 
7.4%
1 2
 
7.4%
( 2
 
7.4%
L 2
 
7.4%
T 1
 
3.7%
A 1
 
3.7%
Other values (4) 4
14.8%

최종수정시점
Real number (ℝ)

Distinct21
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.022045 × 1013
Minimum2.0220428 × 1013
Maximum2.0220609 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:12.900361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0220428 × 1013
5-th percentile2.0220428 × 1013
Q12.0220428 × 1013
median2.0220428 × 1013
Q32.0220428 × 1013
95-th percentile2.0220562 × 1013
Maximum2.0220609 × 1013
Range1.8100142 × 108
Interquartile range (IQR)9

Descriptive statistics

Standard deviation50405382
Coefficient of variation (CV)2.4927923 × 10-6
Kurtosis4.7234219
Mean2.022045 × 1013
Median Absolute Deviation (MAD)5
Skewness2.3479983
Sum6.6727484 × 1014
Variance2.5407026 × 1015
MonotonicityNot monotonic
2024-04-22T04:48:13.115533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20220428181021 4
 
12.1%
20220428181027 3
 
9.1%
20220428181028 3
 
9.1%
20220428181022 3
 
9.1%
20220428181017 2
 
6.1%
20220428181019 2
 
6.1%
20220428181026 2
 
6.1%
20220525163548 1
 
3.0%
20220428181016 1
 
3.0%
20220428181018 1
 
3.0%
Other values (11) 11
33.3%
ValueCountFrequency (%)
20220428181016 1
 
3.0%
20220428181017 2
6.1%
20220428181018 1
 
3.0%
20220428181019 2
6.1%
20220428181020 1
 
3.0%
20220428181021 4
12.1%
20220428181022 3
9.1%
20220428181024 1
 
3.0%
20220428181025 1
 
3.0%
20220428181026 2
6.1%
ValueCountFrequency (%)
20220609182433 1
 
3.0%
20220608165241 1
 
3.0%
20220531145111 1
 
3.0%
20220525163548 1
 
3.0%
20220504175337 1
 
3.0%
20220504091351 1
 
3.0%
20220428181034 1
 
3.0%
20220428181031 1
 
3.0%
20220428181030 1
 
3.0%
20220428181028 3
9.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
I
29 
U
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 29
87.9%
U 4
 
12.1%

Length

2024-04-22T04:48:13.346525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:13.513247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
87.9%
u 4
 
12.1%

데이터갱신일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
Minimum2022-07-02 17:34:28
Maximum2022-07-02 17:34:28
2024-04-22T04:48:13.656845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:48:13.814615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size425.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean341795.57
Minimum332168
Maximum354561.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:14.266513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332168
5-th percentile332718.78
Q1336484.57
median341979.51
Q3346391.22
95-th percentile350352.51
Maximum354561.71
Range22393.709
Interquartile range (IQR)9906.6512

Descriptive statistics

Standard deviation5804.9345
Coefficient of variation (CV)0.016983645
Kurtosis-0.59503071
Mean341795.57
Median Absolute Deviation (MAD)4487.589
Skewness0.11404672
Sum10937458
Variance33697265
MonotonicityNot monotonic
2024-04-22T04:48:14.476109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
336484.570756 2
 
6.1%
342959.303369 1
 
3.0%
354561.709483 1
 
3.0%
336227.838477 1
 
3.0%
332547.404454 1
 
3.0%
336113.313538 1
 
3.0%
332168.0 1
 
3.0%
333566.595919 1
 
3.0%
347647.571201 1
 
3.0%
335343.981326 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
332168.0 1
3.0%
332547.404454 1
3.0%
332859.0 1
3.0%
333566.595919 1
3.0%
335343.981326 1
3.0%
336113.313538 1
3.0%
336227.838477 1
3.0%
336484.570756 2
6.1%
338090.764413 1
3.0%
339446.66546 1
3.0%
ValueCountFrequency (%)
354561.709483 1
3.0%
352197.318607 1
3.0%
348843.126875 1
3.0%
348450.350208 1
3.0%
347647.571201 1
3.0%
346962.861064 1
3.0%
346513.98521 1
3.0%
346420.205569 1
3.0%
346381.560704 1
3.0%
345688.722185 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean261124.12
Minimum244908
Maximum270978.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-22T04:48:14.690629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244908
5-th percentile250806.52
Q1260346.73
median262033.22
Q3263544
95-th percentile265741.61
Maximum270978.81
Range26070.812
Interquartile range (IQR)3197.2676

Descriptive statistics

Standard deviation5130.4234
Coefficient of variation (CV)0.019647451
Kurtosis5.134955
Mean261124.12
Median Absolute Deviation (MAD)1637.8651
Skewness-1.8570857
Sum8355971.7
Variance26321244
MonotonicityNot monotonic
2024-04-22T04:48:14.919840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
263042.733149 2
 
6.1%
263049.942855 1
 
3.0%
265618.937909 1
 
3.0%
257706.078199 1
 
3.0%
262086.508751 1
 
3.0%
257842.91913 1
 
3.0%
244989.0 1
 
3.0%
265089.276625 1
 
3.0%
255566.30619 1
 
3.0%
264835.531089 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
244908.0 1
3.0%
244989.0 1
3.0%
255566.30619 1
3.0%
257706.078199 1
3.0%
257842.91913 1
3.0%
259022.253063 1
3.0%
259430.140944 1
3.0%
260322.227466 1
3.0%
260354.894433 1
3.0%
260435.813125 1
3.0%
ValueCountFrequency (%)
270978.8119 1
3.0%
265891.536025 1
3.0%
265618.937909 1
3.0%
265220.299346 1
3.0%
265089.276625 1
3.0%
264835.531089 1
3.0%
264436.418678 1
3.0%
263620.69218 1
3.0%
263518.429683 1
3.0%
263138.416618 1
3.0%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
동물운송업
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물운송업 33
100.0%

Length

2024-04-22T04:48:15.139041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:15.304399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물운송업 33
100.0%

상세업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
동물운송업
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물운송업 33
100.0%

Length

2024-04-22T04:48:15.471275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:15.635062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물운송업 33
100.0%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
000
31 
L00
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 31
93.9%
L00 2
 
6.1%

Length

2024-04-22T04:48:15.803224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:15.971889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 31
93.9%
l00 2
 
6.1%

총종업원수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
0
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 33
100.0%

Length

2024-04-22T04:48:16.145713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:48:16.393932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
01동물운송업02_03_12_P341000034100000502018001820180827<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 남산동 ****-*대구광역시 중구 남산로*길 **-* (남산동)41972도그스테이20220525163548U2022-07-02 17:34:28.0<NA>342959.303369263049.942855동물운송업동물운송업0000
12동물운송업02_03_12_P342000034200000502021000720210712<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 동구 각산동 ****-* ***호대구광역시 동구 이노밸리로**길 **, ***호 (각산동)41065이재룡의 뭉개뭉개 유치원20220428181028I2022-07-02 17:34:28.0<NA>354561.709483265618.937909동물운송업동물운송업0000
23동물운송업02_03_12_P342000034200000502020000820200506<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 동구 신천동 ***-*대구광역시 동구 장등로 **, *층 (신천동)41262간지나개20220428181027I2022-07-02 17:34:28.0<NA>346513.98521264436.418678동물운송업동물운송업0000
34동물운송업02_03_12_P342000034200000502019001620190808<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 동구 신암동 ***-* 그랜드 파크대구광역시 동구 아양로**길 *, ***호 (신암동, 그랜드 파크)41208펫콜20220428181025I2022-07-02 17:34:28.0<NA>346420.205569265891.536025동물운송업동물운송업0000
45동물운송업02_03_12_P343000034300000502019000520190111<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 서구 평리동 ***-* ***호대구광역시 서구 통학로 ***, ***호 (평리동)41786고고펫20220428181017I2022-07-02 17:34:28.0<NA>341091.873832265220.299346동물운송업동물운송업0000
56동물운송업02_03_12_P343000034300000502020000220200622<NA>1영업/정상0정상<NA><NA><NA><NA>053-586-35120<NA>대구광역시 서구 중리동 ****-***대구광역시 서구 와룡로**길 ** (중리동)41843젠틀펫20220428181017I2022-07-02 17:34:28.0<NA>339446.66546263518.429683동물운송업동물운송업0000
67동물운송업02_03_12_P344000034400000502022000220220531<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 남구 대명동 ****-**대구광역시 남구 명덕로**길 ***, *층 (대명동)42407몽펍피20220531145111I2022-07-02 17:34:28.0<NA>342483.405198262499.020265동물운송업동물운송업0000
78동물운송업02_03_12_P344000034400000502022000120220504<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 남구 대명동 ***-*대구광역시 남구 안지랑로*길 **, ***호 (대명동)42492마이핫독20220504091351I2022-07-02 17:34:28.0<NA>341718.395416260322.227466동물운송업동물운송업0000
89동물운송업02_03_12_P344000034400000502021000820210910<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 남구 대명동 ***-**대구광역시 남구 안지랑로**길 **-*, *층 ***호 (대명동)42493핑크강아지20220428181021I2022-07-02 17:34:28.0<NA>341799.101498260789.110475동물운송업동물운송업0000
910동물운송업02_03_12_P344000034400000502021000220210203<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 남구 봉덕동 ****-*대구광역시 남구 고산*길 * (봉덕동)42503로이펫택시20220428181021I2022-07-02 17:34:28.0<NA>344845.567342260354.894433동물운송업동물운송업0000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
2324동물운송업02_03_12_P347000034700000502021000220210115<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달서구 대곡동 **** *층대구광역시 달서구 갈밭로 **, *층 (대곡동)42842모모댕댕20220608165241U2022-07-02 17:34:28.0<NA><NA><NA>동물운송업동물운송업0000
2425동물운송업02_03_12_P347000034700000502020001220200609<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달서구 이곡동 ****-* 한빛마을대구광역시 달서구 선원남로 **, ***동 ***층 (이곡동, 한빛마을)42615486 펫콜20220428181021I2022-07-02 17:34:28.0<NA>336484.570756263042.733149동물운송업동물운송업0000
2526동물운송업02_03_12_P348000034800000502019000220190103<NA>3폐업2폐업20200113<NA><NA><NA><NA>0<NA>대구광역시 달성군 유가읍 봉리 *** 대구테크노 폴리스 호반베르디움 ***동 ****호대구광역시 달성군 유가읍 테크노대로*길 ** (대구테크노 폴리스 호반베르디움)43016이리와20220428181024I2022-07-02 17:34:28.0<NA>332859.0244908.0동물운송업동물운송업0000
2627동물운송업02_03_12_P348000034800000502018004020180829<NA>3폐업2폐업20200618<NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 서재리 *** 서재화진금봉타운 ***동 ****호대구광역시 달성군 다사읍 서재로 ***, 서재화진금봉타운42927486펫콜(대구점)20220428181022I2022-07-02 17:34:28.0<NA>335343.981326264835.531089동물운송업동물운송업0000
2728동물운송업02_03_12_P348000034800000502022000120220112<NA>1영업/정상0정상<NA><NA><NA><NA>053-761-79790<NA>대구광역시 달성군 가창면 냉천리 *-**대구광역시 달성군 가창면 가창로***길 **42938발넷이야20220428181031I2022-07-02 17:34:28.0<NA>347647.571201255566.30619동물운송업동물운송업L000
2829동물운송업02_03_12_P348000034800000502021001120210806<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 세천리 ****-* 세천삼정그린코아더베스트아파트*단지 ***동 ****호대구광역시 달성군 다사읍 세천북로 **, ***동 ****호 (세천삼정그린코아더베스트아파트*단지)42922부르멍 펫택시20220428181030I2022-07-02 17:34:28.0<NA>333566.595919265089.276625동물운송업동물운송업0000
2930동물운송업02_03_12_P348000034800000502020001720201103<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달성군 유가읍 봉리 *** 하나리움퀸즈파크 ***동 ****호대구광역시 달성군 유가읍 테크노북로 ***, ***동 ****호 (하나리움퀸즈파크)43015모시개냥20220428181028I2022-07-02 17:34:28.0<NA>332168.0244989.0동물운송업동물운송업0000
3031동물운송업02_03_12_P348000034800000502020000520200622<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달성군 화원읍 구라리 **** 대곡역 래미안대구광역시 달성군 화원읍 비슬로***길 **, ***동 ****호 (대곡역 래미안)42951PET CALL20220428181026I2022-07-02 17:34:28.0<NA>336113.313538257842.91913동물운송업동물운송업0000
3132동물운송업02_03_12_P348000034800000502020001420200823<NA>3폐업2폐업20210415<NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 죽곡리 ***-** *층 ***호대구광역시 달성군 다사읍 대실역남로*길 *-*, *층 ***호42917모코모코20220428181028I2022-07-02 17:34:28.0<NA>332547.404454262086.508751동물운송업동물운송업0000
3233동물운송업02_03_12_P348000034800000502018001420180417<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달성군 화원읍 구라리 **** 삼우청솔타운대구광역시 달성군 화원읍 비슬로***길 ** (삼우청솔타운)42952예뻐지냥20220428181018I2022-07-02 17:34:28.0<NA>336227.838477257706.078199동물운송업동물운송업0000