Overview

Dataset statistics

Number of variables32
Number of observations383
Missing cells2808
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.9 KiB
Average record size in memory272.3 B

Variable types

Numeric6
Categorical12
DateTime4
Unsupported6
Text4

Dataset

Description24년03월_6270000_대구광역시_02_03_10_P_동물위탁관리업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106554&dataSetDetailId=DDI_0000106595&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
상세업무구분명 has constant value ""Constant
총직원수 has constant value ""Constant
소재지면적 is highly imbalanced (90.0%)Imbalance
권리주체일련번호 is highly imbalanced (88.4%)Imbalance
인허가취소일자 has 383 (100.0%) missing valuesMissing
폐업일자 has 251 (65.5%) missing valuesMissing
휴업시작일자 has 383 (100.0%) missing valuesMissing
휴업종료일자 has 383 (100.0%) missing valuesMissing
재개업일자 has 383 (100.0%) missing valuesMissing
소재지전화 has 253 (66.1%) missing valuesMissing
소재지우편번호 has 383 (100.0%) missing valuesMissing
업태구분명 has 383 (100.0%) missing valuesMissing
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
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 started2024-04-29 12:17:28.880148
Analysis finished2024-04-29 12:17:29.698247
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct383
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192
Minimum1
Maximum383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-29T21:17:29.780751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.1
Q196.5
median192
Q3287.5
95-th percentile363.9
Maximum383
Range382
Interquartile range (IQR)191

Descriptive statistics

Standard deviation110.70682
Coefficient of variation (CV)0.57659802
Kurtosis-1.2
Mean192
Median Absolute Deviation (MAD)96
Skewness0
Sum73536
Variance12256
MonotonicityStrictly increasing
2024-04-29T21:17:29.917129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
2 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
Other values (373) 373
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
383 1
0.3%
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물위탁관리업
383 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물위탁관리업 383
100.0%

Length

2024-04-29T21:17:30.048816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:30.134664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물위탁관리업 383
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
02_03_10_P
383 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_10_P
2nd row02_03_10_P
3rd row02_03_10_P
4th row02_03_10_P
5th row02_03_10_P

Common Values

ValueCountFrequency (%)
02_03_10_P 383
100.0%

Length

2024-04-29T21:17:30.224211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:30.308156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_10_p 383
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451070.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-29T21:17:30.546145image/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 deviation21062.18
Coefficient of variation (CV)0.0061030861
Kurtosis-0.96165689
Mean3451070.5
Median Absolute Deviation (MAD)10000
Skewness-0.45617654
Sum1.32176 × 109
Variance4.4361544 × 108
MonotonicityIncreasing
2024-04-29T21:17:30.665357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 83
21.7%
3470000 71
18.5%
3420000 57
14.9%
3450000 55
14.4%
3480000 45
11.7%
3440000 34
8.9%
3410000 19
 
5.0%
3430000 19
 
5.0%
ValueCountFrequency (%)
3410000 19
 
5.0%
3420000 57
14.9%
3430000 19
 
5.0%
3440000 34
8.9%
3450000 55
14.4%
3460000 83
21.7%
3470000 71
18.5%
3480000 45
11.7%
ValueCountFrequency (%)
3480000 45
11.7%
3470000 71
18.5%
3460000 83
21.7%
3450000 55
14.4%
3440000 34
8.9%
3430000 19
 
5.0%
3420000 57
14.9%
3410000 19
 
5.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct383
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4510705 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-29T21:17:30.810131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.42 × 1017
Q13.44 × 1017
median3.46 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.106218 × 1015
Coefficient of variation (CV)0.006103086
Kurtosis-0.96165689
Mean3.4510705 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.45617654
Sum3.0487933 × 1018
Variance4.4361544 × 1030
MonotonicityNot monotonic
2024-04-29T21:17:30.955730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000004820230004 1
 
0.3%
341000004820180024 1
 
0.3%
346000004820180034 1
 
0.3%
346000004820180032 1
 
0.3%
346000004820180017 1
 
0.3%
346000004820180002 1
 
0.3%
346000004820220012 1
 
0.3%
346000004820230008 1
 
0.3%
346000004820220009 1
 
0.3%
346000004820220011 1
 
0.3%
Other values (373) 373
97.4%
ValueCountFrequency (%)
341000004820180003 1
0.3%
341000004820180007 1
0.3%
341000004820180009 1
0.3%
341000004820180016 1
0.3%
341000004820180020 1
0.3%
341000004820180022 1
0.3%
341000004820180024 1
0.3%
341000004820190008 1
0.3%
341000004820210004 1
0.3%
341000004820210007 1
0.3%
ValueCountFrequency (%)
348000004820240004 1
0.3%
348000004820240003 1
0.3%
348000004820240002 1
0.3%
348000004820240001 1
0.3%
348000004820230004 1
0.3%
348000004820230003 1
0.3%
348000004820230002 1
0.3%
348000004820230001 1
0.3%
348000004820220003 1
0.3%
348000004820220002 1
0.3%

인허가일자
Date

Distinct299
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-04-07 00:00:00
Maximum2024-03-29 00:00:00
2024-04-29T21:17:31.097079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:31.238537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing383
Missing (%)100.0%
Memory size3.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
1
249 
3
128 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 249
65.0%
3 128
33.4%
4 6
 
1.6%

Length

2024-04-29T21:17:31.379533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:31.474376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 249
65.0%
3 128
33.4%
4 6
 
1.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
249 
폐업
128 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length5
Mean length4.1383812
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 249
65.0%
폐업 128
33.4%
취소/말소/만료/정지/중지 6
 
1.6%

Length

2024-04-29T21:17:31.591734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:31.713651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 249
65.0%
폐업 128
33.4%
취소/말소/만료/정지/중지 6
 
1.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
249 
2
128 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 249
65.0%
2 128
33.4%
4 6
 
1.6%

Length

2024-04-29T21:17:31.831714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:31.938190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 249
65.0%
2 128
33.4%
4 6
 
1.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
정상
249 
폐업
128 
말소
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 249
65.0%
폐업 128
33.4%
말소 6
 
1.6%

Length

2024-04-29T21:17:32.050187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:32.143321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 249
65.0%
폐업 128
33.4%
말소 6
 
1.6%

폐업일자
Date

MISSING 

Distinct113
Distinct (%)85.6%
Missing251
Missing (%)65.5%
Memory size3.1 KiB
Minimum2019-01-07 00:00:00
Maximum2024-03-26 00:00:00
2024-04-29T21:17:32.261882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:32.391834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing383
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing383
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing383
Missing (%)100.0%
Memory size3.5 KiB

소재지전화
Text

MISSING 

Distinct128
Distinct (%)98.5%
Missing253
Missing (%)66.1%
Memory size3.1 KiB
2024-04-29T21:17:32.618588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.138462
Min length7

Characters and Unicode

Total characters1448
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

Unique126 ?
Unique (%)96.9%

Sample

1st row053-426-9006
2nd row254-0050
3rd row255-2218
4th row053-254-1366
5th row421-7582
ValueCountFrequency (%)
053-951-1013 2
 
1.5%
053-981-3309 2
 
1.5%
053-525-6890 1
 
0.8%
053-583-4886 1
 
0.8%
053-561-9090 1
 
0.8%
053-562-1132 1
 
0.8%
053-710-7907 1
 
0.8%
053-766-7222 1
 
0.8%
053-635-6917 1
 
0.8%
0532020222 1
 
0.8%
Other values (118) 118
90.8%
2024-04-29T21:17:32.978390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 232
16.0%
5 228
15.7%
3 201
13.9%
- 172
11.9%
7 114
7.9%
2 103
7.1%
1 96
6.6%
6 89
 
6.1%
9 84
 
5.8%
8 66
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1276
88.1%
Dash Punctuation 172
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 232
18.2%
5 228
17.9%
3 201
15.8%
7 114
8.9%
2 103
8.1%
1 96
7.5%
6 89
 
7.0%
9 84
 
6.6%
8 66
 
5.2%
4 63
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1448
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 232
16.0%
5 228
15.7%
3 201
13.9%
- 172
11.9%
7 114
7.9%
2 103
7.1%
1 96
6.6%
6 89
 
6.1%
9 84
 
5.8%
8 66
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 232
16.0%
5 228
15.7%
3 201
13.9%
- 172
11.9%
7 114
7.9%
2 103
7.1%
1 96
6.6%
6 89
 
6.1%
9 84
 
5.8%
8 66
 
4.6%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
378 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.0391645
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 378
98.7%
<NA> 5
 
1.3%

Length

2024-04-29T21:17:33.120917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:33.227137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 378
98.7%
na 5
 
1.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing383
Missing (%)100.0%
Memory size3.5 KiB

소재지전체주소
Text

Distinct282
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-29T21:17:33.455616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length22.543081
Min length17

Characters and Unicode

Total characters8634
Distinct characters215
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)57.2%

Sample

1st row대구광역시 중구 동인동*가 **-*
2nd row대구광역시 중구 봉산동 **-*
3rd row대구광역시 중구 남산동 ****-**
4th row대구광역시 중구 남성로 **-*
5th row대구광역시 중구 남산동 ****-**
ValueCountFrequency (%)
385
21.8%
대구광역시 383
21.7%
수성구 83
 
4.7%
달서구 71
 
4.0%
동구 57
 
3.2%
북구 55
 
3.1%
달성군 45
 
2.5%
층 42
 
2.4%
호 38
 
2.2%
남구 34
 
1.9%
Other values (194) 573
32.4%
2024-04-29T21:17:33.861874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1885
21.8%
1727
20.0%
구 736
 
8.5%
대 436
 
5.0%
동 435
 
5.0%
시 397
 
4.6%
역 386
 
4.5%
광 384
 
4.4%
- 296
 
3.4%
성 164
 
1.9%
Other values (205) 1788
20.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4710
54.6%
Other Punctuation 1888
21.9%
Space Separator 1727
 
20.0%
Dash Punctuation 296
 
3.4%
Uppercase Letter 9
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 736
15.6%
대 436
 
9.3%
동 435
 
9.2%
시 397
 
8.4%
역 386
 
8.2%
광 384
 
8.2%
성 164
 
3.5%
서 119
 
2.5%
달 116
 
2.5%
수 98
 
2.1%
Other values (193) 1439
30.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
O 2
22.2%
D 1
 
11.1%
A 1
 
11.1%
M 1
 
11.1%
Z 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 1885
99.8%
, 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4710
54.6%
Common 3915
45.3%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 736
15.6%
대 436
 
9.3%
동 435
 
9.2%
시 397
 
8.4%
역 386
 
8.2%
광 384
 
8.2%
성 164
 
3.5%
서 119
 
2.5%
달 116
 
2.5%
수 98
 
2.1%
Other values (193) 1439
30.6%
Common
ValueCountFrequency (%)
* 1885
48.1%
1727
44.1%
- 296
 
7.6%
, 3
 
0.1%
) 2
 
0.1%
( 2
 
0.1%
Latin
ValueCountFrequency (%)
B 3
33.3%
O 2
22.2%
D 1
 
11.1%
A 1
 
11.1%
M 1
 
11.1%
Z 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4710
54.6%
ASCII 3924
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1885
48.0%
1727
44.0%
- 296
 
7.5%
, 3
 
0.1%
B 3
 
0.1%
) 2
 
0.1%
O 2
 
0.1%
( 2
 
0.1%
D 1
 
< 0.1%
A 1
 
< 0.1%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
구 736
15.6%
대 436
 
9.3%
동 435
 
9.2%
시 397
 
8.4%
역 386
 
8.2%
광 384
 
8.2%
성 164
 
3.5%
서 119
 
2.5%
달 116
 
2.5%
수 98
 
2.1%
Other values (193) 1439
30.6%

도로명전체주소
Text

Distinct353
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-29T21:17:34.115415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length29.010444
Min length20

Characters and Unicode

Total characters11111
Distinct characters243
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)85.1%

Sample

1st row대구광역시 중구 국채보상로 *** (동인동*가)
2nd row대구광역시 중구 달구벌대로 ****-* (봉산동)
3rd row대구광역시 중구 중앙대로**길 **, *층 (남산동)
4th row대구광역시 중구 중앙대로**길 **-* (남성로)
5th row대구광역시 중구 남산로**길 ***(남산동)
ValueCountFrequency (%)
대구광역시 383
16.8%
378
16.5%
층 178
 
7.8%
수성구 83
 
3.6%
호 75
 
3.3%
달서구 71
 
3.1%
동구 57
 
2.5%
북구 55
 
2.4%
달성군 45
 
2.0%
남구 34
 
1.5%
Other values (399) 926
40.5%
2024-04-29T21:17:34.540138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1902
17.1%
* 1774
16.0%
구 775
 
7.0%
대 511
 
4.6%
동 492
 
4.4%
시 401
 
3.6%
역 389
 
3.5%
광 385
 
3.5%
로 376
 
3.4%
) 346
 
3.1%
Other values (233) 3760
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6371
57.3%
Other Punctuation 2055
 
18.5%
Space Separator 1902
 
17.1%
Close Punctuation 346
 
3.1%
Open Punctuation 346
 
3.1%
Dash Punctuation 80
 
0.7%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 775
 
12.2%
대 511
 
8.0%
동 492
 
7.7%
시 401
 
6.3%
역 389
 
6.1%
광 385
 
6.0%
로 376
 
5.9%
층 182
 
2.9%
성 181
 
2.8%
길 175
 
2.7%
Other values (221) 2504
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
A 2
18.2%
O 2
18.2%
D 1
 
9.1%
Z 1
 
9.1%
M 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 1774
86.3%
, 281
 
13.7%
Space Separator
ValueCountFrequency (%)
1902
100.0%
Close Punctuation
ValueCountFrequency (%)
) 346
100.0%
Open Punctuation
ValueCountFrequency (%)
( 346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6371
57.3%
Common 4729
42.6%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 775
 
12.2%
대 511
 
8.0%
동 492
 
7.7%
시 401
 
6.3%
역 389
 
6.1%
광 385
 
6.0%
로 376
 
5.9%
층 182
 
2.9%
성 181
 
2.8%
길 175
 
2.7%
Other values (221) 2504
39.3%
Common
ValueCountFrequency (%)
1902
40.2%
* 1774
37.5%
) 346
 
7.3%
( 346
 
7.3%
, 281
 
5.9%
- 80
 
1.7%
Latin
ValueCountFrequency (%)
B 4
36.4%
A 2
18.2%
O 2
18.2%
D 1
 
9.1%
Z 1
 
9.1%
M 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6371
57.3%
ASCII 4740
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1902
40.1%
* 1774
37.4%
) 346
 
7.3%
( 346
 
7.3%
, 281
 
5.9%
- 80
 
1.7%
B 4
 
0.1%
A 2
 
< 0.1%
O 2
 
< 0.1%
D 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 775
 
12.2%
대 511
 
8.0%
동 492
 
7.7%
시 401
 
6.3%
역 389
 
6.1%
광 385
 
6.0%
로 376
 
5.9%
층 182
 
2.9%
성 181
 
2.8%
길 175
 
2.7%
Other values (221) 2504
39.3%

도로명우편번호
Real number (ℝ)

Distinct279
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42105.201
Minimum41001
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-29T21:17:34.690680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41072
Q141525.5
median42175
Q342651
95-th percentile42954.7
Maximum43018
Range2017
Interquartile range (IQR)1125.5

Descriptive statistics

Standard deviation618.33494
Coefficient of variation (CV)0.014685476
Kurtosis-1.1557748
Mean42105.201
Median Absolute Deviation (MAD)565
Skewness-0.271027
Sum16126292
Variance382338.09
MonotonicityNot monotonic
2024-04-29T21:17:34.832275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43017 6
 
1.6%
42175 5
 
1.3%
41026 5
 
1.3%
42842 4
 
1.0%
42251 3
 
0.8%
42922 3
 
0.8%
42262 3
 
0.8%
41843 3
 
0.8%
42636 3
 
0.8%
41598 3
 
0.8%
Other values (269) 345
90.1%
ValueCountFrequency (%)
41001 2
 
0.5%
41003 2
 
0.5%
41015 1
 
0.3%
41026 5
1.3%
41050 1
 
0.3%
41065 2
 
0.5%
41067 1
 
0.3%
41068 2
 
0.5%
41069 1
 
0.3%
41071 2
 
0.5%
ValueCountFrequency (%)
43018 3
0.8%
43017 6
1.6%
43008 2
 
0.5%
43007 1
 
0.3%
43006 1
 
0.3%
42989 1
 
0.3%
42979 2
 
0.5%
42971 1
 
0.3%
42966 1
 
0.3%
42956 1
 
0.3%

사업장명
Text

Distinct371
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-29T21:17:35.089398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length5.9503916
Min length1

Characters and Unicode

Total characters2279
Distinct characters400
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)94.3%

Sample

1st row오멍누
2nd row강아지 대통령
3rd row몽구네 애견유치원
4th row댕하우스
5th row525그루밍
ValueCountFrequency (%)
강아지 9
 
1.7%
대구점 6
 
1.2%
dog 6
 
1.2%
살롱 4
 
0.8%
애견샵 4
 
0.8%
동물병원 4
 
0.8%
미용실 4
 
0.8%
젠틀펫 3
 
0.6%
이발소 3
 
0.6%
유치원 3
 
0.6%
Other values (440) 473
91.1%
2024-04-29T21:17:35.515810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
6.0%
이 79
 
3.5%
아 48
 
2.1%
개 48
 
2.1%
펫 45
 
2.0%
독 42
 
1.8%
멍 40
 
1.8%
견 35
 
1.5%
미 33
 
1.4%
리 33
 
1.4%
Other values (390) 1740
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1832
80.4%
Space Separator 136
 
6.0%
Lowercase Letter 127
 
5.6%
Uppercase Letter 113
 
5.0%
Close Punctuation 25
 
1.1%
Open Punctuation 25
 
1.1%
Other Punctuation 13
 
0.6%
Decimal Number 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 79
 
4.3%
아 48
 
2.6%
개 48
 
2.6%
펫 45
 
2.5%
독 42
 
2.3%
멍 40
 
2.2%
견 35
 
1.9%
미 33
 
1.8%
리 33
 
1.8%
피 32
 
1.7%
Other values (334) 1397
76.3%
Uppercase Letter
ValueCountFrequency (%)
O 14
12.4%
D 12
 
10.6%
G 9
 
8.0%
M 8
 
7.1%
A 7
 
6.2%
L 7
 
6.2%
P 7
 
6.2%
E 7
 
6.2%
T 5
 
4.4%
B 4
 
3.5%
Other values (12) 33
29.2%
Lowercase Letter
ValueCountFrequency (%)
o 15
11.8%
e 11
 
8.7%
g 11
 
8.7%
n 10
 
7.9%
u 10
 
7.9%
p 9
 
7.1%
a 9
 
7.1%
m 8
 
6.3%
r 7
 
5.5%
s 7
 
5.5%
Other values (10) 30
23.6%
Other Punctuation
ValueCountFrequency (%)
# 3
23.1%
& 3
23.1%
· 2
15.4%
; 2
15.4%
' 2
15.4%
＆ 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
5 3
37.5%
2 2
25.0%
3 1
 
12.5%
8 1
 
12.5%
6 1
 
12.5%
Space Separator
ValueCountFrequency (%)
136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1830
80.3%
Latin 240
 
10.5%
Common 207
 
9.1%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 79
 
4.3%
아 48
 
2.6%
개 48
 
2.6%
펫 45
 
2.5%
독 42
 
2.3%
멍 40
 
2.2%
견 35
 
1.9%
미 33
 
1.8%
리 33
 
1.8%
피 32
 
1.7%
Other values (332) 1395
76.2%
Latin
ValueCountFrequency (%)
o 15
 
6.2%
O 14
 
5.8%
D 12
 
5.0%
e 11
 
4.6%
g 11
 
4.6%
n 10
 
4.2%
u 10
 
4.2%
G 9
 
3.8%
p 9
 
3.8%
a 9
 
3.8%
Other values (32) 130
54.2%
Common
ValueCountFrequency (%)
136
65.7%
) 25
 
12.1%
( 25
 
12.1%
# 3
 
1.4%
& 3
 
1.4%
5 3
 
1.4%
2 2
 
1.0%
· 2
 
1.0%
; 2
 
1.0%
' 2
 
1.0%
Other values (4) 4
 
1.9%
Han
ValueCountFrequency (%)
家 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1830
80.3%
ASCII 444
 
19.5%
None 3
 
0.1%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
30.6%
) 25
 
5.6%
( 25
 
5.6%
o 15
 
3.4%
O 14
 
3.2%
D 12
 
2.7%
e 11
 
2.5%
g 11
 
2.5%
n 10
 
2.3%
u 10
 
2.3%
Other values (44) 175
39.4%
Hangul
ValueCountFrequency (%)
이 79
 
4.3%
아 48
 
2.6%
개 48
 
2.6%
펫 45
 
2.5%
독 42
 
2.3%
멍 40
 
2.2%
견 35
 
1.9%
미 33
 
1.8%
리 33
 
1.8%
피 32
 
1.7%
Other values (332) 1395
76.2%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%
CJK
ValueCountFrequency (%)
家 1
50.0%
美 1
50.0%

최종수정시점
Date

Distinct219
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2022-04-28 18:10:13
Maximum2024-03-29 15:21:02
2024-04-29T21:17:35.649117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:35.772942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
261 
U
122 

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 261
68.1%
U 122
31.9%

Length

2024-04-29T21:17:35.892774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:35.977988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 261
68.1%
u 122
31.9%

데이터갱신일자
Date

Distinct157
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2022-07-02 17:34:28
Maximum2024-03-31 00:15:17
2024-04-29T21:17:36.073509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:36.189506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing383
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct361
Distinct (%)95.0%
Missing3
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean343201.51
Minimum327001.98
Maximum357940.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-29T21:17:36.307870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327001.98
5-th percentile332193.27
Q1339367.03
median343126.17
Q3346568.59
95-th percentile354688.69
Maximum357940.07
Range30938.091
Interquartile range (IQR)7201.5599

Descriptive statistics

Standard deviation6390.7929
Coefficient of variation (CV)0.01862111
Kurtosis-0.20329268
Mean343201.51
Median Absolute Deviation (MAD)3727.5549
Skewness0.12851997
Sum1.3041657 × 108
Variance40842234
MonotonicityNot monotonic
2024-04-29T21:17:36.425565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331379.966950723 2
 
0.5%
332313.080571277 2
 
0.5%
331379.261727026 2
 
0.5%
340452.562543586 2
 
0.5%
331368.022404052 2
 
0.5%
347269.624713454 2
 
0.5%
338701.951391299 2
 
0.5%
333502.593071034 2
 
0.5%
343220.239904392 2
 
0.5%
339893.506429586 2
 
0.5%
Other values (351) 360
94.0%
(Missing) 3
 
0.8%
ValueCountFrequency (%)
327001.977226581 1
0.3%
327495.832205514 1
0.3%
328262.429515786 1
0.3%
328657.072415618 1
0.3%
330379.598981756 1
0.3%
330763.232499505 1
0.3%
331368.022404052 2
0.5%
331379.261727026 2
0.5%
331379.966950723 2
0.5%
331507.706073925 1
0.3%
ValueCountFrequency (%)
357940.068109182 1
0.3%
357925.220487852 1
0.3%
357888.724162031 1
0.3%
357854.456686495 1
0.3%
356519.717420602 2
0.5%
356370.489825402 1
0.3%
356353.915440362 1
0.3%
356352.62487008 1
0.3%
356285.016609231 1
0.3%
356175.418160422 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct361
Distinct (%)95.0%
Missing3
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean262768.27
Minimum240575.19
Maximum276801.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-29T21:17:36.808218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240575.19
5-th percentile256379.67
Q1260671.04
median262917.87
Q3265104.84
95-th percentile272317.33
Maximum276801.3
Range36226.11
Interquartile range (IQR)4433.8035

Descriptive statistics

Standard deviation5501.7388
Coefficient of variation (CV)0.020937607
Kurtosis3.8742696
Mean262768.27
Median Absolute Deviation (MAD)2216.4546
Skewness-1.1067035
Sum99851943
Variance30269130
MonotonicityNot monotonic
2024-04-29T21:17:36.948647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244467.090015024 2
 
0.5%
263637.272232977 2
 
0.5%
244266.488938767 2
 
0.5%
272631.609590502 2
 
0.5%
244422.164072638 2
 
0.5%
276801.296256865 2
 
0.5%
262918.244448919 2
 
0.5%
264921.447047547 2
 
0.5%
261466.283932696 2
 
0.5%
260531.331072801 2
 
0.5%
Other values (351) 360
94.0%
(Missing) 3
 
0.8%
ValueCountFrequency (%)
240575.186404133 1
0.3%
241229.96367959 1
0.3%
241496.909414348 1
0.3%
244266.488938767 2
0.5%
244422.164072638 2
0.5%
244467.090015024 2
0.5%
244603.070432325 1
0.3%
244628.625870756 1
0.3%
244661.838228877 1
0.3%
244677.227556169 1
0.3%
ValueCountFrequency (%)
276801.296256865 2
0.5%
274260.233601271 1
0.3%
273245.416941331 1
0.3%
273190.51345537 1
0.3%
273108.034714518 1
0.3%
272731.548097389 1
0.3%
272701.337600081 1
0.3%
272653.683397184 1
0.3%
272642.152869602 1
0.3%
272631.609590502 2
0.5%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물위탁관리업
383 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물위탁관리업 383
100.0%

Length

2024-04-29T21:17:37.074851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:37.158881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물위탁관리업 383
100.0%

상세업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물위탁관리업
383 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물위탁관리업 383
100.0%

Length

2024-04-29T21:17:37.246330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:37.326773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물위탁관리업 383
100.0%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
000
377 
L00
 
6

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 (%)
000 377
98.4%
L00 6
 
1.6%

Length

2024-04-29T21:17:37.419237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:37.516798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 377
98.4%
l00 6
 
1.6%

총직원수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
383 

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 (%)
0 383
100.0%

Length

2024-04-29T21:17:37.618876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:37.710750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 383
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물위탁관리업02_03_10_P34100003410000048202300042023-09-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 동인동*가 **-*대구광역시 중구 국채보상로 *** (동인동*가)41914오멍누2023-09-04 10:36:29I2023-09-06 00:18:13<NA>344687.452839264459.449372동물위탁관리업동물위탁관리업0000
12동물위탁관리업02_03_10_P34100003410000048201800242018-10-12<NA>3폐업2폐업2021-11-17<NA><NA><NA>053-426-90060<NA>대구광역시 중구 봉산동 **-*대구광역시 중구 달구벌대로 ****-* (봉산동)41943강아지 대통령2022-04-28 18:10:20I2022-07-02 17:34:28<NA>344059.091686263979.327197동물위탁관리업동물위탁관리업0000
23동물위탁관리업02_03_10_P34100003410000048202300022023-04-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 남산동 ****-**대구광역시 중구 중앙대로**길 **, *층 (남산동)41963몽구네 애견유치원2023-04-11 09:04:29I2023-04-13 00:20:18<NA>343897.094189263077.623353동물위탁관리업동물위탁관리업0000
34동물위탁관리업02_03_10_P34100003410000048202400012024-02-19<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 남성로 **-*대구광역시 중구 중앙대로**길 **-* (남성로)41934댕하우스2024-02-19 09:13:39I2024-02-21 00:16:02<NA>343399.755317264379.0676동물위탁관리업동물위탁관리업0000
45동물위탁관리업02_03_10_P34100003410000048202300012023-01-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 남산동 ****-**대구광역시 중구 남산로**길 ***(남산동)41976525그루밍2023-01-26 12:53:00I2023-01-28 00:40:49<NA>342339.652782263288.885137동물위탁관리업동물위탁관리업0000
56동물위탁관리업02_03_10_P34100003410000048201800032018-04-13<NA>1영업/정상0정상<NA><NA><NA><NA>254-00500<NA>대구광역시 중구 봉산동 ***-*대구광역시 중구 달구벌대로 **** (봉산동)41943애견명가2022-04-28 18:10:19I2022-07-02 17:34:28<NA>344187.921989263949.092336동물위탁관리업동물위탁관리업0000
67동물위탁관리업02_03_10_P34100003410000048201800092018-05-01<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 *-*대구광역시 중구 동성로*길 **-** (봉산동)41942디캣2022-04-28 18:10:19I2022-07-02 17:34:28<NA>344023.037153264157.313057동물위탁관리업동물위탁관리업0000
78동물위탁관리업02_03_10_P34100003410000048201800162018-08-02<NA>1영업/정상0정상<NA><NA><NA><NA>255-22180<NA>대구광역시 중구 삼덕동*가 **-*대구광역시 중구 동성로*길 * (삼덕동*가)41942힐링독2022-04-28 18:10:20I2022-07-02 17:34:28<NA>344207.708443264019.071743동물위탁관리업동물위탁관리업0000
89동물위탁관리업02_03_10_P34100003410000048201800202018-09-18<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 남산동 ****-**대구광역시 중구 남산로*길 *, *층 (남산동)41977보앤벨2022-04-28 18:10:20I2022-07-02 17:34:28<NA>342483.474917263273.956437동물위탁관리업동물위탁관리업0000
910동물위탁관리업02_03_10_P34100003410000048201900082019-08-16<NA>1영업/정상0정상<NA><NA><NA><NA>053-254-13660<NA>대구광역시 중구 동인동*가 ***-*대구광역시 중구 국채보상로 ***-*, *층 (동인동*가)41944슈슈봉봉2022-04-28 18:10:21I2022-07-02 17:34:28<NA>344979.072734264369.440292동물위탁관리업동물위탁관리업0000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
373374동물위탁관리업02_03_10_P34800003480000048201800262018-05-15<NA>3폐업2폐업2021-05-06<NA><NA><NA>053-587-53200<NA>대구광역시 달성군 다사읍 매곡리 ****-**대구광역시 달성군 다사읍 대실역북로 **42911멍멍아 놀자2022-04-28 18:10:20I2022-07-02 17:34:28<NA>332313.080571263637.272233동물위탁관리업동물위탁관리업0000
374375동물위탁관리업02_03_10_P34800003480000048201800292018-05-29<NA>3폐업2폐업2022-06-03<NA><NA><NA>053-585-38630<NA>대구광역시 달성군 다사읍 매곡리 *** 주공아파트제*상가동 ***동대구광역시 달성군 다사읍 매곡로**길 ** (주공아파트)42908솜결 애견샵2022-06-05 10:04:46U2022-07-02 17:34:28<NA>331507.706074263874.518849동물위탁관리업동물위탁관리업0000
375376동물위탁관리업02_03_10_P34800003480000048201800362018-08-06<NA>3폐업2폐업<NA><NA><NA><NA>053-981-33090<NA>대구광역시 달성군 옥포읍 본리리 ****대구광역시 달성군 옥포읍 비슬로***길 **42971벗2022-04-28 18:10:21I2022-07-02 17:34:28<NA>332489.149569255784.443751동물위탁관리업동물위탁관리업0000
376377동물위탁관리업02_03_10_P34800003480000048201900042019-01-14<NA>3폐업2폐업2020-01-15<NA><NA><NA>053-260-99770<NA>대구광역시 달성군 논공읍 북리 ***-**대구광역시 달성군 논공읍 논공로*길 **42979댕댕이 하우스2022-04-28 18:10:24I2022-07-02 17:34:28<NA>330379.598982248808.412353동물위탁관리업동물위탁관리업0000
377378동물위탁관리업02_03_10_P34800003480000048201900142019-09-05<NA>3폐업2폐업2022-03-28<NA><NA><NA><NA>0<NA>대구광역시 달성군 논공읍 북리 ***-***대구광역시 달성군 논공읍 논공로 ***-*42979빵댕이 애견카페2022-04-28 18:10:26I2022-07-02 17:34:28<NA>330763.2325248723.227157동물위탁관리업동물위탁관리업0000
378379동물위탁관리업02_03_10_P34800003480000048201900152019-10-31<NA>3폐업2폐업2020-01-30<NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천북로 *42922고독2022-04-28 18:10:26I2022-07-02 17:34:28<NA>333502.593071264921.447048동물위탁관리업동물위탁관리업0000
379380동물위탁관리업02_03_10_P34800003480000048201900172019-11-01<NA>3폐업2폐업2022-02-23<NA><NA><NA>053-581-22340<NA>대구광역시 달성군 다사읍 매곡리 ****-**대구광역시 달성군 다사읍 달구벌대로 ***42914력셔리독2023-01-18 17:42:29U2023-01-20 02:40:00<NA>332296.485893263030.522627동물위탁관리업동물위탁관리업0000
380381동물위탁관리업02_03_10_P34800003480000048202000032020-05-28<NA>3폐업2폐업2024-02-13<NA><NA><NA>05371071700<NA>대구광역시 달성군 다사읍 죽곡리 ** *층전면 좌측*번째 사무실대구광역시 달성군 다사읍 달구벌대로 ***42915몽그라미펫2024-02-13 14:13:32U2024-02-15 02:40:00<NA>332079.983473263177.122419동물위탁관리업동물위탁관리업0000
381382동물위탁관리업02_03_10_P34800003480000048202000092020-07-10<NA>3폐업2폐업2022-12-31<NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 세천리 ****-* *층 ***호대구광역시 달성군 다사읍 세천로*길 **, *층 ***호42921퍼피솔루션2023-01-03 10:04:05U2023-01-05 02:40:00<NA>332835.991775264542.84545동물위탁관리업동물위탁관리업0000
382383동물위탁관리업02_03_10_P34800003480000048202400042024-03-25<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달성군 현풍읍 중리 ***-*대구광역시 달성군 현풍읍 테크노상업로 **, 테크노타워* ***호43017야옹아 놀자2024-03-25 09:55:42I2024-03-27 00:15:31<NA>331379.966951244467.090015동물위탁관리업동물위탁관리업0000