Overview

Dataset statistics

Number of variables32
Number of observations33
Missing cells233
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory276.0 B

Variable types

Numeric6
Categorical13
DateTime3
Unsupported6
Text4

Dataset

Description24년03월_6270000_대구광역시_02_03_09_P_동물전시업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106554&dataSetDetailId=DDI_0000106594&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
소재지면적 has constant value ""Constant
업무구분명 has constant value ""Constant
상세업무구분명 has constant value ""Constant
총직원수 has constant value ""Constant
권리주체일련번호 is highly imbalanced (80.4%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 17 (51.5%) 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 18 (54.5%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 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 12:17:16.267501
Analysis finished2024-04-29 12:17:16.811168
Duration0.54 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 size429.0 B
2024-04-29T21:17:16.875372image/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
2024-04-29T21:17:16.989009image/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 size396.0 B
동물전시업
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물전시업 33
100.0%

Length

2024-04-29T21:17:17.111776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:17.196783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물전시업 33
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
02_03_09_P
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_09_P
2nd row02_03_09_P
3rd row02_03_09_P
4th row02_03_09_P
5th row02_03_09_P

Common Values

ValueCountFrequency (%)
02_03_09_P 33
100.0%

Length

2024-04-29T21:17:17.288272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:17.382036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_09_p 33
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441212.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-29T21:17:17.452852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22326.774
Coefficient of variation (CV)0.0064880552
Kurtosis-1.3344497
Mean3441212.1
Median Absolute Deviation (MAD)20000
Skewness-0.071927867
Sum1.1356 × 108
Variance4.9848485 × 108
MonotonicityIncreasing
2024-04-29T21:17:17.550250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 7
21.2%
3410000 6
18.2%
3420000 5
15.2%
3470000 5
15.2%
3460000 4
12.1%
3440000 3
9.1%
3430000 2
 
6.1%
3480000 1
 
3.0%
ValueCountFrequency (%)
3410000 6
18.2%
3420000 5
15.2%
3430000 2
 
6.1%
3440000 3
9.1%
3450000 7
21.2%
3460000 4
12.1%
3470000 5
15.2%
3480000 1
 
3.0%
ValueCountFrequency (%)
3480000 1
 
3.0%
3470000 5
15.2%
3460000 4
12.1%
3450000 7
21.2%
3440000 3
9.1%
3430000 2
 
6.1%
3420000 5
15.2%
3410000 6
18.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4412122 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-29T21:17:17.667363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.41 × 1017
Q13.42 × 1017
median3.45 × 1017
Q33.46 × 1017
95-th percentile3.47 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.2326774 × 1015
Coefficient of variation (CV)0.0064880551
Kurtosis-1.3344497
Mean3.4412122 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.071927867
Sum-7.0907439 × 1018
Variance4.9848485 × 1030
MonotonicityNot monotonic
2024-04-29T21:17:17.797622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
341000004720190003 1
 
3.0%
346000004720200039 1
 
3.0%
345000004720180059 1
 
3.0%
345000004720180049 1
 
3.0%
345000004720180005 1
 
3.0%
345000004720220004 1
 
3.0%
346000004720190042 1
 
3.0%
346000004720200043 1
 
3.0%
346000004720190041 1
 
3.0%
341000004720180015 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
341000004720180008 1
3.0%
341000004720180015 1
3.0%
341000004720190003 1
3.0%
341000004720190005 1
3.0%
341000004720230001 1
3.0%
341000004720240001 1
3.0%
342000004720180006 1
3.0%
342000004720180054 1
3.0%
342000004720180061 1
3.0%
342000004720190007 1
3.0%
ValueCountFrequency (%)
348000004720200010 1
3.0%
347000004720230001 1
3.0%
347000004720180079 1
3.0%
347000004720180042 1
3.0%
347000004720180014 1
3.0%
347000004720180006 1
3.0%
346000004720200043 1
3.0%
346000004720200039 1
3.0%
346000004720190042 1
3.0%
346000004720190041 1
3.0%

인허가일자
Date

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-04-13 00:00:00
Maximum2024-03-07 00:00:00
2024-04-29T21:17:17.920595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:18.029811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
17 
3
15 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
51.5%
3 15
45.5%
4 1
 
3.0%

Length

2024-04-29T21:17:18.148844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:18.240654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
51.5%
3 15
45.5%
4 1
 
3.0%

영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
17 
폐업
15 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.9090909
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
51.5%
폐업 15
45.5%
취소/말소/만료/정지/중지 1
 
3.0%

Length

2024-04-29T21:17:18.359066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:18.463272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
51.5%
폐업 15
45.5%
취소/말소/만료/정지/중지 1
 
3.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
17 
2
15 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
51.5%
2 15
45.5%
4 1
 
3.0%

Length

2024-04-29T21:17:18.575936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:18.672904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
51.5%
2 15
45.5%
4 1
 
3.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
정상
17 
폐업
15 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 17
51.5%
폐업 15
45.5%
말소 1
 
3.0%

Length

2024-04-29T21:17:18.779958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:18.880217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 17
51.5%
폐업 15
45.5%
말소 1
 
3.0%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing17
Missing (%)51.5%
Memory size396.0 B
Minimum2018-12-21 00:00:00
Maximum2023-10-11 00:00:00
2024-04-29T21:17:18.974127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:19.096828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지전화
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing18
Missing (%)54.5%
Memory size396.0 B
2024-04-29T21:17:19.274972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.266667
Min length8

Characters and Unicode

Total characters169
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

Unique15 ?
Unique (%)100.0%

Sample

1st row985-4373
2nd row255-2218
3rd row070-7757-4445
4th row070-8813-7999
5th row053-965-5668
ValueCountFrequency (%)
985-4373 1
 
6.7%
255-2218 1
 
6.7%
070-7757-4445 1
 
6.7%
070-8813-7999 1
 
6.7%
053-965-5668 1
 
6.7%
053-754-0366 1
 
6.7%
586-3512 1
 
6.7%
0507-1401-0295 1
 
6.7%
0533238864 1
 
6.7%
0539395123 1
 
6.7%
Other values (5) 5
33.3%
2024-04-29T21:17:19.582022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25
14.8%
5 24
14.2%
- 23
13.6%
3 22
13.0%
9 12
7.1%
8 12
7.1%
4 12
7.1%
7 11
6.5%
2 10
 
5.9%
6 10
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 146
86.4%
Dash Punctuation 23
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
17.1%
5 24
16.4%
3 22
15.1%
9 12
8.2%
8 12
8.2%
4 12
8.2%
7 11
7.5%
2 10
 
6.8%
6 10
 
6.8%
1 8
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25
14.8%
5 24
14.2%
- 23
13.6%
3 22
13.0%
9 12
7.1%
8 12
7.1%
4 12
7.1%
7 11
6.5%
2 10
 
5.9%
6 10
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 169
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25
14.8%
5 24
14.2%
- 23
13.6%
3 22
13.0%
9 12
7.1%
8 12
7.1%
4 12
7.1%
7 11
6.5%
2 10
 
5.9%
6 10
 
5.9%

소재지면적
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 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

2024-04-29T21:17:19.708932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:19.973733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지전체주소
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-29T21:17:20.157567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length21.636364
Min length17

Characters and Unicode

Total characters714
Distinct characters62
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

Unique27 ?
Unique (%)81.8%

Sample

1st row대구광역시 중구 삼덕동*가 **-** *층
2nd row대구광역시 중구 삼덕동*가 **-*
3rd row대구광역시 중구 삼덕동*가 **-*
4th row대구광역시 중구 봉산동 *-*
5th row대구광역시 중구 동성로*가 ***-** *층, *층
ValueCountFrequency (%)
34
23.0%
대구광역시 33
22.3%
층 8
 
5.4%
북구 7
 
4.7%
중구 6
 
4.1%
달서구 5
 
3.4%
동구 5
 
3.4%
호 4
 
2.7%
수성구 4
 
2.7%
삼덕동*가 3
 
2.0%
Other values (29) 39
26.4%
2024-04-29T21:17:20.513083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 169
23.7%
144
20.2%
구 66
 
9.2%
동 39
 
5.5%
대 38
 
5.3%
광 33
 
4.6%
역 33
 
4.6%
시 33
 
4.6%
- 28
 
3.9%
서 10
 
1.4%
Other values (52) 121
16.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
52.0%
Other Punctuation 171
23.9%
Space Separator 144
 
20.2%
Dash Punctuation 28
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 66
17.8%
동 39
10.5%
대 38
10.2%
광 33
 
8.9%
역 33
 
8.9%
시 33
 
8.9%
서 10
 
2.7%
중 9
 
2.4%
성 9
 
2.4%
호 8
 
2.2%
Other values (48) 93
25.1%
Other Punctuation
ValueCountFrequency (%)
* 169
98.8%
, 2
 
1.2%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
52.0%
Common 343
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 66
17.8%
동 39
10.5%
대 38
10.2%
광 33
 
8.9%
역 33
 
8.9%
시 33
 
8.9%
서 10
 
2.7%
중 9
 
2.4%
성 9
 
2.4%
호 8
 
2.2%
Other values (48) 93
25.1%
Common
ValueCountFrequency (%)
* 169
49.3%
144
42.0%
- 28
 
8.2%
, 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
52.0%
ASCII 343
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 169
49.3%
144
42.0%
- 28
 
8.2%
, 2
 
0.6%
Hangul
ValueCountFrequency (%)
구 66
17.8%
동 39
10.5%
대 38
10.2%
광 33
 
8.9%
역 33
 
8.9%
시 33
 
8.9%
서 10
 
2.7%
중 9
 
2.4%
성 9
 
2.4%
호 8
 
2.2%
Other values (48) 93
25.1%

도로명전체주소
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-29T21:17:20.729268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length28.181818
Min length21

Characters and Unicode

Total characters930
Distinct characters93
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

Unique31 ?
Unique (%)93.9%

Sample

1st row대구광역시 중구 동성로*길 **, *층 (삼덕동*가)
2nd row대구광역시 중구 동성로*길 * (삼덕동*가)
3rd row대구광역시 중구 동성로*길 **, *층 (삼덕동*가)
4th row대구광역시 중구 동성로*길 **-** (봉산동)
5th row대구광역시 중구 동성로*길 **, *층 (동성로*가)
ValueCountFrequency (%)
대구광역시 33
17.1%
33
17.1%
층 20
 
10.4%
북구 7
 
3.6%
중구 6
 
3.1%
동구 5
 
2.6%
호 5
 
2.6%
달서구 5
 
2.6%
동성로*길 5
 
2.6%
수성구 4
 
2.1%
Other values (56) 70
36.3%
2024-04-29T21:17:21.096061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
17.2%
* 153
16.5%
구 68
 
7.3%
동 48
 
5.2%
대 41
 
4.4%
로 34
 
3.7%
광 33
 
3.5%
역 33
 
3.5%
시 33
 
3.5%
) 32
 
3.4%
Other values (83) 295
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
55.7%
Other Punctuation 177
 
19.0%
Space Separator 160
 
17.2%
Close Punctuation 32
 
3.4%
Open Punctuation 32
 
3.4%
Dash Punctuation 11
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 68
 
13.1%
동 48
 
9.3%
대 41
 
7.9%
로 34
 
6.6%
광 33
 
6.4%
역 33
 
6.4%
시 33
 
6.4%
층 20
 
3.9%
길 20
 
3.9%
성 15
 
2.9%
Other values (77) 173
33.4%
Other Punctuation
ValueCountFrequency (%)
* 153
86.4%
, 24
 
13.6%
Space Separator
ValueCountFrequency (%)
160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
55.7%
Common 412
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 68
 
13.1%
동 48
 
9.3%
대 41
 
7.9%
로 34
 
6.6%
광 33
 
6.4%
역 33
 
6.4%
시 33
 
6.4%
층 20
 
3.9%
길 20
 
3.9%
성 15
 
2.9%
Other values (77) 173
33.4%
Common
ValueCountFrequency (%)
160
38.8%
* 153
37.1%
) 32
 
7.8%
( 32
 
7.8%
, 24
 
5.8%
- 11
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
55.7%
ASCII 412
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
38.8%
* 153
37.1%
) 32
 
7.8%
( 32
 
7.8%
, 24
 
5.8%
- 11
 
2.7%
Hangul
ValueCountFrequency (%)
구 68
 
13.1%
동 48
 
9.3%
대 41
 
7.9%
로 34
 
6.6%
광 33
 
6.4%
역 33
 
6.4%
시 33
 
6.4%
층 20
 
3.9%
길 20
 
3.9%
성 15
 
2.9%
Other values (77) 173
33.4%

도로명우편번호
Real number (ℝ)

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41919.909
Minimum41001
Maximum42921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-29T21:17:21.236622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41070.4
Q141465
median41942
Q342407
95-th percentile42755.6
Maximum42921
Range1920
Interquartile range (IQR)942

Descriptive statistics

Standard deviation563.39592
Coefficient of variation (CV)0.013439817
Kurtosis-1.0663544
Mean41919.909
Median Absolute Deviation (MAD)477
Skewness0.021793483
Sum1383357
Variance317414.96
MonotonicityNot monotonic
2024-04-29T21:17:21.409204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
41942 6
 
18.2%
41422 2
 
6.1%
41598 1
 
3.0%
42921 1
 
3.0%
42608 1
 
3.0%
42645 1
 
3.0%
42667 1
 
3.0%
42754 1
 
3.0%
42758 1
 
3.0%
42267 1
 
3.0%
Other values (17) 17
51.5%
ValueCountFrequency (%)
41001 1
3.0%
41068 1
3.0%
41072 1
3.0%
41101 1
3.0%
41119 1
3.0%
41417 1
3.0%
41422 2
6.1%
41465 1
3.0%
41477 1
3.0%
41544 1
3.0%
ValueCountFrequency (%)
42921 1
3.0%
42758 1
3.0%
42754 1
3.0%
42667 1
3.0%
42645 1
3.0%
42608 1
3.0%
42469 1
3.0%
42461 1
3.0%
42407 1
3.0%
42267 1
3.0%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-29T21:17:21.626913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length5.4848485
Min length2

Characters and Unicode

Total characters181
Distinct characters106
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
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 row고양이날다
2nd row힐링독
3rd row야옹아놀자 캣카페(동성로점)
4th row디캣
5th row말랑캣
ValueCountFrequency (%)
피터펫 2
 
4.8%
바른생활 1
 
2.4%
양군멍군 1
 
2.4%
카페 1
 
2.4%
통통통 1
 
2.4%
냥이마을 1
 
2.4%
토끼야 1
 
2.4%
놀자 1
 
2.4%
체리 1
 
2.4%
퍼피앤캣 1
 
2.4%
Other values (31) 31
73.8%
2024-04-29T21:17:21.960515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
5.0%
이 8
 
4.4%
피 6
 
3.3%
멍 6
 
3.3%
캣 5
 
2.8%
독 4
 
2.2%
도 4
 
2.2%
( 3
 
1.7%
카 3
 
1.7%
펫 3
 
1.7%
Other values (96) 130
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
82.9%
Lowercase Letter 14
 
7.7%
Space Separator 9
 
5.0%
Open Punctuation 3
 
1.7%
Close Punctuation 3
 
1.7%
Uppercase Letter 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
5.3%
피 6
 
4.0%
멍 6
 
4.0%
캣 5
 
3.3%
독 4
 
2.7%
도 4
 
2.7%
카 3
 
2.0%
펫 3
 
2.0%
양 3
 
2.0%
페 3
 
2.0%
Other values (80) 105
70.0%
Lowercase Letter
ValueCountFrequency (%)
p 3
21.4%
o 2
14.3%
t 1
 
7.1%
c 1
 
7.1%
e 1
 
7.1%
j 1
 
7.1%
r 1
 
7.1%
y 1
 
7.1%
b 1
 
7.1%
u 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
82.3%
Latin 16
 
8.8%
Common 15
 
8.3%
Han 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
5.4%
피 6
 
4.0%
멍 6
 
4.0%
캣 5
 
3.4%
독 4
 
2.7%
도 4
 
2.7%
카 3
 
2.0%
펫 3
 
2.0%
양 3
 
2.0%
페 3
 
2.0%
Other values (79) 104
69.8%
Latin
ValueCountFrequency (%)
p 3
18.8%
o 2
12.5%
t 1
 
6.2%
c 1
 
6.2%
e 1
 
6.2%
j 1
 
6.2%
r 1
 
6.2%
P 1
 
6.2%
y 1
 
6.2%
b 1
 
6.2%
Other values (3) 3
18.8%
Common
ValueCountFrequency (%)
9
60.0%
( 3
 
20.0%
) 3
 
20.0%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
82.3%
ASCII 31
 
17.1%
CJK 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
29.0%
( 3
 
9.7%
) 3
 
9.7%
p 3
 
9.7%
o 2
 
6.5%
t 1
 
3.2%
c 1
 
3.2%
e 1
 
3.2%
j 1
 
3.2%
r 1
 
3.2%
Other values (6) 6
19.4%
Hangul
ValueCountFrequency (%)
이 8
 
5.4%
피 6
 
4.0%
멍 6
 
4.0%
캣 5
 
3.4%
독 4
 
2.7%
도 4
 
2.7%
카 3
 
2.0%
펫 3
 
2.0%
양 3
 
2.0%
페 3
 
2.0%
Other values (79) 104
69.8%
CJK
ValueCountFrequency (%)
家 1
100.0%

최종수정시점
Date

Distinct26
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2022-04-28 18:10:13
Maximum2024-03-07 16:42:07
2024-04-29T21:17:22.074654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:22.185417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
25 
U
8 

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 25
75.8%
U 8
 
24.2%

Length

2024-04-29T21:17:22.313813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:22.408782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
75.8%
u 8
 
24.2%

데이터갱신일자
Categorical

Distinct12
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
2022-07-02 17:34:28
21 
2023-06-18 02:40:00
 
2
2024-03-09 00:15:37
 
1
2023-12-01 00:17:07
 
1
2023-03-17 02:40:00
 
1
Other values (7)
7 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique10 ?
Unique (%)30.3%

Sample

1st row2022-07-02 17:34:28
2nd row2022-07-02 17:34:28
3rd row2024-03-09 00:15:37
4th row2022-07-02 17:34:28
5th row2022-07-02 17:34:28

Common Values

ValueCountFrequency (%)
2022-07-02 17:34:28 21
63.6%
2023-06-18 02:40:00 2
 
6.1%
2024-03-09 00:15:37 1
 
3.0%
2023-12-01 00:17:07 1
 
3.0%
2023-03-17 02:40:00 1
 
3.0%
2023-10-13 02:40:00 1
 
3.0%
2022-12-21 00:40:12 1
 
3.0%
2023-08-02 02:40:00 1
 
3.0%
2024-02-11 00:16:19 1
 
3.0%
2023-03-22 02:40:00 1
 
3.0%
Other values (2) 2
 
6.1%

Length

2024-04-29T21:17:22.512993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-07-02 21
31.8%
17:34:28 21
31.8%
02:40:00 7
 
10.6%
2023-06-18 2
 
3.0%
2023-03-22 2
 
3.0%
00:40:12 1
 
1.5%
00:41:41 1
 
1.5%
00:16:19 1
 
1.5%
2024-02-11 1
 
1.5%
2023-08-02 1
 
1.5%
Other values (8) 8
 
12.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344126.04
Minimum332835.99
Maximum357854.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-29T21:17:22.622802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332835.99
5-th percentile336169.76
Q1340452.56
median343943.5
Q3345489.11
95-th percentile355079.46
Maximum357854.46
Range25018.465
Interquartile range (IQR)5036.5524

Descriptive statistics

Standard deviation6161.6921
Coefficient of variation (CV)0.017905335
Kurtosis-0.043139553
Mean344126.04
Median Absolute Deviation (MAD)3490.9357
Skewness0.66558383
Sum11356159
Variance37966450
MonotonicityNot monotonic
2024-04-29T21:17:22.745569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
340452.562543586 2
 
6.1%
344211.990551187 1
 
3.0%
332835.99177483 1
 
3.0%
334785.333195964 1
 
3.0%
339811.200653685 1
 
3.0%
341513.248391903 1
 
3.0%
337664.94747435 1
 
3.0%
338090.764412962 1
 
3.0%
353963.352240142 1
 
3.0%
354331.06211235 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
332835.99177483 1
3.0%
334785.333195964 1
3.0%
337092.703998463 1
3.0%
337664.94747435 1
3.0%
338090.764412962 1
3.0%
339446.665459644 1
3.0%
339811.200653685 1
3.0%
340175.4196969 1
3.0%
340452.562543586 2
6.1%
340841.644657242 1
3.0%
ValueCountFrequency (%)
357854.456686495 1
3.0%
355805.420516614 1
3.0%
354595.485212391 1
3.0%
354331.06211235 1
3.0%
353963.352240142 1
3.0%
353141.415150465 1
3.0%
348843.126874767 1
3.0%
347269.624713454 1
3.0%
345489.114959581 1
3.0%
345264.415812234 1
3.0%

좌표정보(Y)
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265137.62
Minimum259315.19
Maximum276801.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-29T21:17:22.856368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259315.19
5-th percentile260516.19
Q1262615.57
median264157.31
Q3266555.91
95-th percentile272822.18
Maximum276801.3
Range17486.109
Interquartile range (IQR)3940.3432

Descriptive statistics

Standard deviation4120.3538
Coefficient of variation (CV)0.015540434
Kurtosis1.0832611
Mean265137.62
Median Absolute Deviation (MAD)1661.2606
Skewness1.2088594
Sum8749541.5
Variance16977315
MonotonicityNot monotonic
2024-04-29T21:17:22.989388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
272631.609590502 2
 
6.1%
264175.829544292 1
 
3.0%
264542.84545048 1
 
3.0%
262777.401587581 1
 
3.0%
262615.570449284 1
 
3.0%
262859.379578618 1
 
3.0%
259315.187175902 1
 
3.0%
259430.140944248 1
 
3.0%
262007.95052676 1
 
3.0%
261766.56913841 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
259315.187175902 1
3.0%
259430.140944248 1
3.0%
261240.225362894 1
3.0%
261312.669795011 1
3.0%
261669.214808909 1
3.0%
261766.56913841 1
3.0%
262007.95052676 1
3.0%
262496.052445963 1
3.0%
262615.570449284 1
3.0%
262777.401587581 1
3.0%
ValueCountFrequency (%)
276801.296256865 1
3.0%
273108.034714518 1
3.0%
272631.609590502 2
6.1%
270592.748693545 1
3.0%
270002.848827484 1
3.0%
267193.303985737 1
3.0%
267036.720455997 1
3.0%
266555.91361217 1
3.0%
265492.985159232 1
3.0%
265103.532314776 1
3.0%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
동물전시업
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물전시업 33
100.0%

Length

2024-04-29T21:17:23.106349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:23.201067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물전시업 33
100.0%

상세업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
동물전시업
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물전시업 33
100.0%

Length

2024-04-29T21:17:23.296073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:23.381769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물전시업 33
100.0%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
000
32 
L00
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 32
97.0%
L00 1
 
3.0%

Length

2024-04-29T21:17:23.471991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:23.574722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 32
97.0%
l00 1
 
3.0%

총직원수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 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

2024-04-29T21:17:23.666645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:23.759167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물전시업02_03_09_P34100003410000047201900032019-02-26<NA>1영업/정상0정상<NA><NA><NA><NA>985-43730<NA>대구광역시 중구 삼덕동*가 **-** *층대구광역시 중구 동성로*길 **, *층 (삼덕동*가)41942고양이날다2022-04-28 18:10:20I2022-07-02 17:34:28<NA>344211.990551264175.829544동물전시업동물전시업0000
12동물전시업02_03_09_P34100003410000047201800152018-08-02<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>344207.708443264019.071743동물전시업동물전시업0000
23동물전시업02_03_09_P34100003410000047202400012024-03-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 삼덕동*가 **-*대구광역시 중구 동성로*길 **, *층 (삼덕동*가)41942야옹아놀자 캣카페(동성로점)2024-03-07 16:42:07I2024-03-09 00:15:37<NA>344285.378373263978.508445동물전시업동물전시업0000
34동물전시업02_03_09_P34100003410000047201800082018-05-01<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>344023.037153264157.313057동물전시업동물전시업0000
45동물전시업02_03_09_P34100003410000047201900052019-03-28<NA>1영업/정상0정상<NA><NA><NA><NA>070-7757-44450<NA>대구광역시 중구 동성로*가 ***-** *층, *층대구광역시 중구 동성로*길 **, *층 (동성로*가)41942말랑캣2022-04-28 18:10:21I2022-07-02 17:34:28<NA>343989.022789264246.059543동물전시업동물전시업0000
56동물전시업02_03_09_P34100003410000047202300012023-11-29<NA>1영업/정상0정상<NA><NA><NA><NA>070-8813-79990<NA>대구광역시 중구 동성로*가 ***대구광역시 중구 동성로 *-* (동성로*가)41942집사의 하루 대구점2023-11-29 16:41:44I2023-12-01 00:17:07<NA>343943.498245264221.0323동물전시업동물전시업0000
67동물전시업02_03_09_P34200003420000047202000032020-01-09<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 동구 율하동 **-*대구광역시 동구 반야월로**길 ** (율하동)41119와우쥬2022-04-28 18:10:27I2022-07-02 17:34:28<NA>353141.41515264882.442843동물전시업동물전시업0000
78동물전시업02_03_09_P34200003420000047201900072019-05-02<NA>1영업/정상0정상<NA><NA><NA><NA>053-965-56680<NA>대구광역시 동구 대림동 ***-*대구광역시 동구 메디밸리로 *-*, 보림프라자 ***호 (대림동)41072피터펫2022-04-28 18:10:24I2022-07-02 17:34:28<NA>357854.456686265103.532315동물전시업동물전시업0000
89동물전시업02_03_09_P34200003420000047201800062018-05-01<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 동구 신서동 ****-*대구광역시 동구 이노밸리로**길 **-*, *층 (신서동)41068에버노블2022-04-28 18:10:18I2022-07-02 17:34:28<NA>355805.420517265492.985159동물전시업동물전시업0000
910동물전시업02_03_09_P34200003420000047201800612018-11-01<NA>3폐업2폐업2020-03-10<NA><NA><NA>053-754-03660<NA>대구광역시 동구 서호동 ***-*대구광역시 동구 안심로**길 **-* (서호동)41101트레인독2022-04-28 18:10:23I2022-07-02 17:34:28<NA>354595.485212264020.607376동물전시업동물전시업0000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
2324동물전시업02_03_09_P34600003460000047201900422019-12-02<NA>3폐업2폐업2021-12-09<NA><NA><NA><NA>0<NA>대구광역시 수성구 중동 ***-*대구광역시 수성구 청수로 ** (중동)42156토끼야 놀자2022-04-28 18:10:25I2022-07-02 17:34:28<NA>345489.11496261240.225363동물전시업동물전시업0000
2425동물전시업02_03_09_P34600003460000047202000432020-12-17<NA>3폐업2폐업2022-06-09<NA><NA><NA><NA>0<NA>대구광역시 수성구 만촌동 ***-**대구광역시 수성구 달구벌대로***길 **-** (만촌동)42068체리 퍼피앤캣2022-06-09 18:26:35U2022-07-02 17:34:28<NA>348843.126875263138.416618동물전시업동물전시업0000
2526동물전시업02_03_09_P34600003460000047202000392020-12-02<NA>3폐업2폐업2023-03-20<NA><NA><NA><NA>0<NA>대구광역시 수성구 매호동 ***-*대구광역시 수성구 천을로 ***-*, *층 (매호동)42265바른생활 고양이2023-03-20 17:20:48U2023-03-22 02:40:00<NA>354331.062112261766.569138동물전시업동물전시업0000
2627동물전시업02_03_09_P34600003460000047201900412019-10-31<NA>1영업/정상0정상<NA><NA><NA><NA>053-793-30600<NA>대구광역시 수성구 매호동 ***-*대구광역시 수성구 천을로**길 ** (매호동)42267동행 Project2022-04-28 18:10:25I2022-07-02 17:34:28<NA>353963.35224262007.950527동물전시업동물전시업L000
2728동물전시업02_03_09_P34700003470000047201800422018-07-19<NA>3폐업2폐업2021-11-26<NA><NA><NA>070-8805-85420<NA>대구광역시 달서구 월성동 **** 테라스빌딩 ***호대구광역시 달서구 조암로 *, 테라스빌딩 ***호 (월성동)42758디어마이도그2022-04-28 18:10:16I2022-07-02 17:34:28<NA>338090.764413259430.140944동물전시업동물전시업0000
2829동물전시업02_03_09_P34700003470000047201800142018-05-03<NA>3폐업2폐업2019-01-07<NA><NA><NA>053-642-00100<NA>대구광역시 달서구 월성동 ****-* 원더풀스파랜드 ***호대구광역시 달서구 조암로 **, 원더풀스파랜드 ***호 (월성동)42754러블리독2022-04-28 18:10:14I2022-07-02 17:34:28<NA>337664.947474259315.187176동물전시업동물전시업0000
2930동물전시업02_03_09_P34700003470000047201800062018-04-24<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달서구 두류동 ***-** *층대구광역시 달서구 파도고개로 ***, *층 (두류동)42667캣월드2022-04-28 18:10:13I2022-07-02 17:34:28<NA>341513.248392262859.379579동물전시업동물전시업0000
3031동물전시업02_03_09_P34700003470000047202300012023-03-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달서구 두류동 ***-**대구광역시 달서구 당산로 ***, *층 (두류동)42645멍뭉2023-03-20 09:50:48I2023-03-22 00:41:41<NA>339811.200654262615.570449동물전시업동물전시업0000
3132동물전시업02_03_09_P34700003470000047201800792018-09-25<NA>1영업/정상0정상<NA><NA><NA><NA>053-285-34340<NA>대구광역시 달서구 신당동 ****-* , *층대구광역시 달서구 서당로*길 **, *층 (신당동)42608아이러브독도2022-04-28 18:10:18I2022-07-02 17:34:28<NA>334785.333196262777.401588동물전시업동물전시업0000
3233동물전시업02_03_09_P34800003480000047202000102020-07-10<NA>3폐업2폐업2022-12-31<NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 세천리 ****-* *층 ***호대구광역시 달성군 다사읍 세천로*길 **, *층 ***호42921퍼피솔루션2023-01-03 10:05:02U2023-01-05 02:40:00<NA>332835.991775264542.84545동물전시업동물전시업0000