Overview

Dataset statistics

Number of variables32
Number of observations122
Missing cells1095
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory274.1 B

Variable types

Numeric7
Categorical10
DateTime4
Unsupported7
Text4

Dataset

Description24년03월_6270000_대구광역시_02_03_03_P_동물용의료용구판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106554&dataSetDetailId=DDI_0000106593&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (52.0%)Imbalance
영업상태명 is highly imbalanced (52.0%)Imbalance
상세영업상태코드 is highly imbalanced (52.0%)Imbalance
상세영업상태명 is highly imbalanced (52.0%)Imbalance
인허가취소일자 has 122 (100.0%) missing valuesMissing
폐업일자 has 101 (82.8%) missing valuesMissing
휴업시작일자 has 122 (100.0%) missing valuesMissing
휴업종료일자 has 122 (100.0%) missing valuesMissing
재개업일자 has 122 (100.0%) missing valuesMissing
소재지전화 has 39 (32.0%) missing valuesMissing
소재지면적 has 99 (81.1%) missing valuesMissing
소재지우편번호 has 122 (100.0%) missing valuesMissing
소재지전체주소 has 2 (1.6%) missing valuesMissing
업태구분명 has 122 (100.0%) missing valuesMissing
상세업무구분명 has 122 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
상세업무구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 12:17:03.215314
Analysis finished2024-04-29 12:17:03.880230
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.5
Minimum1
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-29T21:17:03.958429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.05
Q131.25
median61.5
Q391.75
95-th percentile115.95
Maximum122
Range121
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation35.362409
Coefficient of variation (CV)0.57499853
Kurtosis-1.2
Mean61.5
Median Absolute Deviation (MAD)30.5
Skewness0
Sum7503
Variance1250.5
MonotonicityStrictly increasing
2024-04-29T21:17:04.092926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
93 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
동물용의료용구판매업
122 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 122
100.0%

Length

2024-04-29T21:17:04.222308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:04.306204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 122
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
02_03_03_P
122 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_03_P
2nd row02_03_03_P
3rd row02_03_03_P
4th row02_03_03_P
5th row02_03_03_P

Common Values

ValueCountFrequency (%)
02_03_03_P 122
100.0%

Length

2024-04-29T21:17:04.394846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:04.475773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 122
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445409.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-29T21:17:04.554372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20536.102
Coefficient of variation (CV)0.0059604235
Kurtosis-0.96643306
Mean3445409.8
Median Absolute Deviation (MAD)10000
Skewness-0.26921642
Sum4.2034 × 108
Variance4.2173147 × 108
MonotonicityIncreasing
2024-04-29T21:17:04.669304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 37
30.3%
3420000 21
17.2%
3460000 21
17.2%
3470000 12
 
9.8%
3410000 11
 
9.0%
3480000 8
 
6.6%
3430000 6
 
4.9%
3440000 6
 
4.9%
ValueCountFrequency (%)
3410000 11
 
9.0%
3420000 21
17.2%
3430000 6
 
4.9%
3440000 6
 
4.9%
3450000 37
30.3%
3460000 21
17.2%
3470000 12
 
9.8%
3480000 8
 
6.6%
ValueCountFrequency (%)
3480000 8
 
6.6%
3470000 12
 
9.8%
3460000 21
17.2%
3450000 37
30.3%
3440000 6
 
4.9%
3430000 6
 
4.9%
3420000 21
17.2%
3410000 11
 
9.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4454098 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-29T21:17:04.795944image/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 percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.0536102 × 1015
Coefficient of variation (CV)0.0059604235
Kurtosis-0.96643306
Mean3.4454098 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.26921642
Sum5.140512 × 1018
Variance4.2173147 × 1030
MonotonicityNot monotonic
2024-04-29T21:17:04.924845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
0.8%
346000001320220001 1
 
0.8%
346000001320190001 1
 
0.8%
346000001320180008 1
 
0.8%
346000001320180007 1
 
0.8%
346000001320180006 1
 
0.8%
346000001320180005 1
 
0.8%
346000001320180004 1
 
0.8%
346000001320180003 1
 
0.8%
346000001320180002 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
341000001319790001 1
0.8%
341000001320120001 1
0.8%
341000001320150001 1
0.8%
341000001320150002 1
0.8%
341000001320160001 1
0.8%
341000001320180001 1
0.8%
341000001320180002 1
0.8%
341000001320200001 1
0.8%
341000001320210001 1
0.8%
341000001320210002 1
0.8%
ValueCountFrequency (%)
348000001320230001 1
0.8%
348000001320220004 1
0.8%
348000001320220003 1
0.8%
348000001320220002 1
0.8%
348000001320220001 1
0.8%
348000001320200001 1
0.8%
348000001320180002 1
0.8%
348000001320180001 1
0.8%
347000001320230002 1
0.8%
347000001320230001 1
0.8%

인허가일자
Date

Distinct96
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1979-04-11 00:00:00
Maximum2024-02-23 00:00:00
2024-04-29T21:17:05.043245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:05.172267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
100 
3
20 
4
 
2

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 (%)
1 100
82.0%
3 20
 
16.4%
4 2
 
1.6%

Length

2024-04-29T21:17:05.288269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:05.377380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
82.0%
3 20
 
16.4%
4 2
 
1.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
100 
폐업
20 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.6557377
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 100
82.0%
폐업 20
 
16.4%
취소/말소/만료/정지/중지 2
 
1.6%

Length

2024-04-29T21:17:05.497692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:05.596707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 100
82.0%
폐업 20
 
16.4%
취소/말소/만료/정지/중지 2
 
1.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
100 
2
20 
4
 
2

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 (%)
0 100
82.0%
2 20
 
16.4%
4 2
 
1.6%

Length

2024-04-29T21:17:05.690584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:05.971061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
82.0%
2 20
 
16.4%
4 2
 
1.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정상
100 
폐업
20 
말소
 
2

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 100
82.0%
폐업 20
 
16.4%
말소 2
 
1.6%

Length

2024-04-29T21:17:06.069623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:06.169734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 100
82.0%
폐업 20
 
16.4%
말소 2
 
1.6%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)90.5%
Missing101
Missing (%)82.8%
Memory size1.1 KiB
Minimum2016-09-30 00:00:00
Maximum2023-11-24 00:00:00
2024-04-29T21:17:06.256361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:06.358756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

소재지전화
Text

MISSING 

Distinct79
Distinct (%)95.2%
Missing39
Missing (%)32.0%
Memory size1.1 KiB
2024-04-29T21:17:06.568881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.072289
Min length7

Characters and Unicode

Total characters919
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

Unique75 ?
Unique (%)90.4%

Sample

1st row053-424-0042
2nd row425-7323
3rd row422-4327
4th row422-4327
5th row424-1950
ValueCountFrequency (%)
053-217-7147 2
 
2.4%
0536262605 2
 
2.4%
422-4327 2
 
2.4%
0533839661 2
 
2.4%
0533818445 1
 
1.2%
0536078000 1
 
1.2%
053-753-4313 1
 
1.2%
053-793-0279 1
 
1.2%
0537638866 1
 
1.2%
0537832458 1
 
1.2%
Other values (69) 69
83.1%
2024-04-29T21:17:06.924515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 142
15.5%
3 137
14.9%
5 131
14.3%
- 117
12.7%
7 73
7.9%
6 66
7.2%
2 65
7.1%
4 65
7.1%
1 49
 
5.3%
8 47
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 802
87.3%
Dash Punctuation 117
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 142
17.7%
3 137
17.1%
5 131
16.3%
7 73
9.1%
6 66
8.2%
2 65
8.1%
4 65
8.1%
1 49
 
6.1%
8 47
 
5.9%
9 27
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 142
15.5%
3 137
14.9%
5 131
14.3%
- 117
12.7%
7 73
7.9%
6 66
7.2%
2 65
7.1%
4 65
7.1%
1 49
 
5.3%
8 47
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 142
15.5%
3 137
14.9%
5 131
14.3%
- 117
12.7%
7 73
7.9%
6 66
7.2%
2 65
7.1%
4 65
7.1%
1 49
 
5.3%
8 47
 
5.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing99
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean424.62913
Minimum0
Maximum1685.1
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-29T21:17:07.068904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.1
Q182.05
median262.03
Q3600.1
95-th percentile1114.509
Maximum1685.1
Range1685.1
Interquartile range (IQR)518.05

Descriptive statistics

Standard deviation439.19294
Coefficient of variation (CV)1.0342977
Kurtosis1.620205
Mean424.62913
Median Absolute Deviation (MAD)187.03
Skewness1.4112681
Sum9766.47
Variance192890.44
MonotonicityNot monotonic
2024-04-29T21:17:07.187825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
441.2 2
 
1.6%
1127.63 1
 
0.8%
970.2 1
 
0.8%
759.0 1
 
0.8%
862.5 1
 
0.8%
330.0 1
 
0.8%
1685.1 1
 
0.8%
207.75 1
 
0.8%
66.0 1
 
0.8%
269.0 1
 
0.8%
Other values (12) 12
 
9.8%
(Missing) 99
81.1%
ValueCountFrequency (%)
0.0 1
0.8%
48.0 1
0.8%
49.0 1
0.8%
66.0 1
0.8%
66.12 1
0.8%
75.0 1
0.8%
89.1 1
0.8%
113.74 1
0.8%
207.75 1
0.8%
211.3 1
0.8%
ValueCountFrequency (%)
1685.1 1
0.8%
1127.63 1
0.8%
996.42 1
0.8%
970.2 1
0.8%
862.5 1
0.8%
759.0 1
0.8%
441.2 2
1.6%
438.0 1
0.8%
330.0 1
0.8%
269.0 1
0.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

소재지전체주소
Text

MISSING 

Distinct104
Distinct (%)86.7%
Missing2
Missing (%)1.6%
Memory size1.1 KiB
2024-04-29T21:17:07.424208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length23.875
Min length17

Characters and Unicode

Total characters2865
Distinct characters155
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

Unique93 ?
Unique (%)77.5%

Sample

1st row대구광역시 중구 동산동 **-*번지 *층
2nd row대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호
3rd row대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호
4th row대구광역시 중구 동인동*가 ***-*번지
5th row대구광역시 중구 공평동 **-*번지
ValueCountFrequency (%)
대구광역시 118
20.8%
73
 
12.9%
번지 47
 
8.3%
북구 36
 
6.3%
동구 20
 
3.5%
산격동 19
 
3.3%
호 19
 
3.3%
수성구 19
 
3.3%
층 14
 
2.5%
달서구 13
 
2.3%
Other values (101) 190
33.5%
2024-04-29T21:17:07.801748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 598
20.9%
555
19.4%
구 234
 
8.2%
동 148
 
5.2%
대 133
 
4.6%
시 125
 
4.4%
역 119
 
4.2%
광 118
 
4.1%
- 88
 
3.1%
지 59
 
2.1%
Other values (145) 688
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1615
56.4%
Other Punctuation 601
 
21.0%
Space Separator 555
 
19.4%
Dash Punctuation 88
 
3.1%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 234
14.5%
동 148
 
9.2%
대 133
 
8.2%
시 125
 
7.7%
역 119
 
7.4%
광 118
 
7.3%
지 59
 
3.7%
번 47
 
2.9%
산 39
 
2.4%
북 36
 
2.2%
Other values (135) 557
34.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
S 1
20.0%
K 1
20.0%
T 1
20.0%
P 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 598
99.5%
, 3
 
0.5%
Space Separator
ValueCountFrequency (%)
555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1615
56.4%
Common 1245
43.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 234
14.5%
동 148
 
9.2%
대 133
 
8.2%
시 125
 
7.7%
역 119
 
7.4%
광 118
 
7.3%
지 59
 
3.7%
번 47
 
2.9%
산 39
 
2.4%
북 36
 
2.2%
Other values (135) 557
34.5%
Common
ValueCountFrequency (%)
* 598
48.0%
555
44.6%
- 88
 
7.1%
, 3
 
0.2%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
M 1
20.0%
S 1
20.0%
K 1
20.0%
T 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1615
56.4%
ASCII 1250
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 598
47.8%
555
44.4%
- 88
 
7.0%
, 3
 
0.2%
+ 1
 
0.1%
M 1
 
0.1%
S 1
 
0.1%
K 1
 
0.1%
T 1
 
0.1%
P 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 234
14.5%
동 148
 
9.2%
대 133
 
8.2%
시 125
 
7.7%
역 119
 
7.4%
광 118
 
7.3%
지 59
 
3.7%
번 47
 
2.9%
산 39
 
2.4%
북 36
 
2.2%
Other values (135) 557
34.5%

도로명전체주소
Text

Distinct110
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-29T21:17:08.041679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length44
Mean length30.098361
Min length21

Characters and Unicode

Total characters3672
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)82.8%

Sample

1st row대구광역시 중구 국채보상로 ***, *층 (동산동)
2nd row대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)
3rd row대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)
4th row대구광역시 중구 태평로 ***-* (동인동*가, 현대문화일보)
5th row대구광역시 중구 동성로*길 ** (공평동)
ValueCountFrequency (%)
대구광역시 122
 
16.5%
115
 
15.6%
층 38
 
5.1%
북구 37
 
5.0%
호 31
 
4.2%
수성구 21
 
2.8%
동구 21
 
2.8%
산격동 20
 
2.7%
동 13
 
1.8%
달서구 12
 
1.6%
Other values (181) 308
41.7%
2024-04-29T21:17:08.436065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
618
16.8%
* 588
16.0%
구 252
 
6.9%
동 180
 
4.9%
대 163
 
4.4%
시 129
 
3.5%
역 125
 
3.4%
로 124
 
3.4%
광 122
 
3.3%
) 114
 
3.1%
Other values (182) 1257
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2121
57.8%
Other Punctuation 674
 
18.4%
Space Separator 618
 
16.8%
Close Punctuation 114
 
3.1%
Open Punctuation 114
 
3.1%
Dash Punctuation 25
 
0.7%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 252
 
11.9%
동 180
 
8.5%
대 163
 
7.7%
시 129
 
6.1%
역 125
 
5.9%
로 124
 
5.8%
광 122
 
5.8%
성 45
 
2.1%
북 45
 
2.1%
길 44
 
2.1%
Other values (170) 892
42.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
P 1
20.0%
K 1
20.0%
S 1
20.0%
T 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 588
87.2%
, 86
 
12.8%
Space Separator
ValueCountFrequency (%)
618
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2121
57.8%
Common 1546
42.1%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 252
 
11.9%
동 180
 
8.5%
대 163
 
7.7%
시 129
 
6.1%
역 125
 
5.9%
로 124
 
5.8%
광 122
 
5.8%
성 45
 
2.1%
북 45
 
2.1%
길 44
 
2.1%
Other values (170) 892
42.1%
Common
ValueCountFrequency (%)
618
40.0%
* 588
38.0%
) 114
 
7.4%
( 114
 
7.4%
, 86
 
5.6%
- 25
 
1.6%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
M 1
20.0%
P 1
20.0%
K 1
20.0%
S 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2121
57.8%
ASCII 1551
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
618
39.8%
* 588
37.9%
) 114
 
7.4%
( 114
 
7.4%
, 86
 
5.5%
- 25
 
1.6%
M 1
 
0.1%
P 1
 
0.1%
K 1
 
0.1%
S 1
 
0.1%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
구 252
 
11.9%
동 180
 
8.5%
대 163
 
7.7%
시 129
 
6.1%
역 125
 
5.9%
로 124
 
5.8%
광 122
 
5.8%
성 45
 
2.1%
북 45
 
2.1%
길 44
 
2.1%
Other values (170) 892
42.1%

도로명우편번호
Real number (ℝ)

Distinct100
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41871.475
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-29T21:17:08.568538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41125.05
Q141504.25
median41824
Q342244
95-th percentile42917.85
Maximum43018
Range1982
Interquartile range (IQR)739.75

Descriptive statistics

Standard deviation552.80412
Coefficient of variation (CV)0.013202404
Kurtosis-0.84544956
Mean41871.475
Median Absolute Deviation (MAD)363
Skewness0.47880594
Sum5108320
Variance305592.4
MonotonicityNot monotonic
2024-04-29T21:17:08.715217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41516 6
 
4.9%
41515 3
 
2.5%
41549 3
 
2.5%
41518 3
 
2.5%
42261 3
 
2.5%
41504 2
 
1.6%
41941 2
 
1.6%
41513 2
 
1.6%
41422 2
 
1.6%
41940 2
 
1.6%
Other values (90) 94
77.0%
ValueCountFrequency (%)
41036 1
0.8%
41067 1
0.8%
41077 1
0.8%
41084 1
0.8%
41106 2
1.6%
41125 1
0.8%
41126 1
0.8%
41144 1
0.8%
41145 1
0.8%
41164 1
0.8%
ValueCountFrequency (%)
43018 1
0.8%
42974 1
0.8%
42955 1
0.8%
42930 1
0.8%
42925 1
0.8%
42920 1
0.8%
42918 1
0.8%
42915 1
0.8%
42829 1
0.8%
42818 1
0.8%

사업장명
Text

Distinct115
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-29T21:17:08.971522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length8.6065574
Min length2

Characters and Unicode

Total characters1050
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)88.5%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row폴리파크(POLYPARK)
ValueCountFrequency (%)
폴리파크 17
 
9.0%
주식회사 16
 
8.5%
주)이마트에브리데이 6
 
3.2%
주)포파코 4
 
2.1%
포파코 3
 
1.6%
홈플러스 3
 
1.6%
코메드 2
 
1.1%
견생냥품 2
 
1.1%
상인점 2
 
1.1%
제이 2
 
1.1%
Other values (120) 131
69.7%
2024-04-29T21:17:09.361023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
6.3%
주 44
 
4.2%
이 44
 
4.2%
점 42
 
4.0%
) 33
 
3.1%
파 33
 
3.1%
( 33
 
3.1%
리 32
 
3.0%
스 31
 
3.0%
사 31
 
3.0%
Other values (193) 661
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 867
82.6%
Space Separator 66
 
6.3%
Uppercase Letter 41
 
3.9%
Close Punctuation 33
 
3.1%
Open Punctuation 33
 
3.1%
Decimal Number 4
 
0.4%
Lowercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
5.1%
이 44
 
5.1%
점 42
 
4.8%
파 33
 
3.8%
리 32
 
3.7%
스 31
 
3.6%
사 31
 
3.6%
크 24
 
2.8%
폴 22
 
2.5%
대 21
 
2.4%
Other values (166) 543
62.6%
Uppercase Letter
ValueCountFrequency (%)
I 5
12.2%
O 5
12.2%
P 4
9.8%
N 4
9.8%
A 3
 
7.3%
R 3
 
7.3%
S 3
 
7.3%
K 2
 
4.9%
L 2
 
4.9%
Y 2
 
4.9%
Other values (6) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 2
50.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
; 1
50.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 867
82.6%
Common 139
 
13.2%
Latin 44
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
5.1%
이 44
 
5.1%
점 42
 
4.8%
파 33
 
3.8%
리 32
 
3.7%
스 31
 
3.6%
사 31
 
3.6%
크 24
 
2.8%
폴 22
 
2.5%
대 21
 
2.4%
Other values (166) 543
62.6%
Latin
ValueCountFrequency (%)
I 5
11.4%
O 5
11.4%
P 4
 
9.1%
N 4
 
9.1%
A 3
 
6.8%
R 3
 
6.8%
S 3
 
6.8%
K 2
 
4.5%
L 2
 
4.5%
Y 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
66
47.5%
) 33
23.7%
( 33
23.7%
4 2
 
1.4%
2 2
 
1.4%
& 1
 
0.7%
; 1
 
0.7%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 867
82.6%
ASCII 183
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
36.1%
) 33
18.0%
( 33
18.0%
I 5
 
2.7%
O 5
 
2.7%
P 4
 
2.2%
N 4
 
2.2%
A 3
 
1.6%
R 3
 
1.6%
S 3
 
1.6%
Other values (17) 24
 
13.1%
Hangul
ValueCountFrequency (%)
주 44
 
5.1%
이 44
 
5.1%
점 42
 
4.8%
파 33
 
3.8%
리 32
 
3.7%
스 31
 
3.6%
사 31
 
3.6%
크 24
 
2.8%
폴 22
 
2.5%
대 21
 
2.4%
Other values (166) 543
62.6%

최종수정시점
Date

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2012-06-14 13:11:52
Maximum2024-02-26 16:46:16
2024-04-29T21:17:09.525065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:09.657263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
86 
U
36 

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 86
70.5%
U 36
29.5%

Length

2024-04-29T21:17:09.780309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:09.879349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 86
70.5%
u 36
29.5%

데이터갱신일자
Date

Distinct77
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2024-02-28 02:40:00
2024-04-29T21:17:09.981000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:17:10.134361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct107
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344302.29
Minimum330172.72
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-29T21:17:10.286402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330172.72
5-th percentile335045.11
Q1341833.73
median345103.69
Q3346651.3
95-th percentile353163.83
Maximum356611.47
Range26438.753
Interquartile range (IQR)4817.5666

Descriptive statistics

Standard deviation5234.6974
Coefficient of variation (CV)0.015203783
Kurtosis0.51123957
Mean344302.29
Median Absolute Deviation (MAD)2069.9394
Skewness-0.29800496
Sum42004879
Variance27402057
MonotonicityNot monotonic
2024-04-29T21:17:10.438018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345870.989303289 3
 
2.5%
344912.358902194 3
 
2.5%
340562.286174235 2
 
1.6%
345793.311978229 2
 
1.6%
340320.722709596 2
 
1.6%
344686.25933796 2
 
1.6%
345972.277012198 2
 
1.6%
346306.145630637 2
 
1.6%
343512.646243623 2
 
1.6%
342148.918219149 2
 
1.6%
Other values (97) 100
82.0%
ValueCountFrequency (%)
330172.717858702 1
0.8%
331994.266957273 1
0.8%
332209.678232161 1
0.8%
332211.021477461 1
0.8%
332497.476208414 1
0.8%
333039.054273592 1
0.8%
335042.486906519 1
0.8%
335095.041372721 1
0.8%
335186.778585713 1
0.8%
335559.179281654 1
0.8%
ValueCountFrequency (%)
356611.471345368 1
0.8%
356060.590271566 1
0.8%
354858.65039992 1
0.8%
354567.84178709 1
0.8%
354003.244560961 1
0.8%
353212.634984674 1
0.8%
353171.444006062 1
0.8%
353019.137710448 2
1.6%
352986.591397707 1
0.8%
352915.098010084 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct107
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264630.51
Minimum244660.4
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-29T21:17:10.560823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244660.4
5-th percentile258894.38
Q1262581.69
median264649.79
Q3267396.82
95-th percentile270175.53
Maximum273217.03
Range28556.626
Interquartile range (IQR)4815.1314

Descriptive statistics

Standard deviation3949.9113
Coefficient of variation (CV)0.014926137
Kurtosis4.6662024
Mean264630.51
Median Absolute Deviation (MAD)2343.6631
Skewness-1.0516785
Sum32284922
Variance15601800
MonotonicityNot monotonic
2024-04-29T21:17:10.698873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268737.493191492 3
 
2.5%
268253.830252935 3
 
2.5%
264459.243352276 2
 
1.6%
264564.232699088 2
 
1.6%
272735.675659876 2
 
1.6%
263958.880864104 2
 
1.6%
268635.935594294 2
 
1.6%
268913.137449925 2
 
1.6%
266932.505111341 2
 
1.6%
262782.01184369 2
 
1.6%
Other values (97) 100
82.0%
ValueCountFrequency (%)
244660.404545869 1
0.8%
254433.745591585 1
0.8%
256213.693334278 1
0.8%
257163.326287088 1
0.8%
257618.088477792 1
0.8%
258645.860959228 1
0.8%
258882.959711369 1
0.8%
259111.444544112 1
0.8%
259330.525762777 1
0.8%
259460.119324605 1
0.8%
ValueCountFrequency (%)
273217.030061446 1
 
0.8%
273097.828373072 1
 
0.8%
272735.675659876 2
1.6%
270836.56470119 1
 
0.8%
270352.090359897 1
 
0.8%
270241.487522723 1
 
0.8%
268922.318187476 1
 
0.8%
268913.137449925 2
1.6%
268870.659507124 2
1.6%
268737.493191492 3
2.5%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
동물용의료용구판매업
122 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 122
100.0%

Length

2024-04-29T21:17:10.831451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:10.918360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 122
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
000
81 
L00
41 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row000
3rd row000
4th rowL00
5th row000

Common Values

ValueCountFrequency (%)
000 81
66.4%
L00 41
33.6%

Length

2024-04-29T21:17:11.019501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:11.120341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 81
66.4%
l00 41
33.6%

총직원수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
63 
<NA>
59 

Length

Max length4
Median length1
Mean length2.4508197
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 63
51.6%
<NA> 59
48.4%

Length

2024-04-29T21:17:11.236465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:17:11.340652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
51.6%
na 59
48.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물용의료용구판매업02_03_03_P34100003410000013201200012012-08-28<NA>1영업/정상0정상<NA><NA><NA><NA>053-424-0042438.0<NA>대구광역시 중구 동산동 **-*번지 *층대구광역시 중구 국채보상로 ***, *층 (동산동)41921(주)한국교통정보2012-08-28 09:43:12I2018-08-31 23:59:59<NA>342983.980987264559.497125동물용의료용구판매업<NA>L00<NA>
12동물용의료용구판매업02_03_03_P34100003410000013201500012015-07-21<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)41940컴패니언2015-07-21 15:07:16I2018-08-31 23:59:59<NA>344686.259338263958.880864동물용의료용구판매업<NA>000<NA>
23동물용의료용구판매업02_03_03_P34100003410000013201500022015-07-21<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)41940컴패니언2015-07-21 15:17:47I2018-08-31 23:59:59<NA>344686.259338263958.880864동물용의료용구판매업<NA>000<NA>
34동물용의료용구판매업02_03_03_P34100003410000013201600012016-04-19<NA>1영업/정상0정상<NA><NA><NA><NA>425-7323211.3<NA>대구광역시 중구 동인동*가 ***-*번지대구광역시 중구 태평로 ***-* (동인동*가, 현대문화일보)41906(주)태영엘에스2016-04-19 10:47:57I2018-08-31 23:59:59<NA>345337.355564264851.279983동물용의료용구판매업<NA>L00<NA>
45동물용의료용구판매업02_03_03_P34100003410000013201800012018-05-29<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 **-*번지대구광역시 중구 동성로*길 ** (공평동)41941폴리파크(POLYPARK)2018-05-29 16:57:17I2018-08-31 23:59:59<NA>344309.71562264309.215111동물용의료용구판매업<NA>000<NA>
56동물용의료용구판매업02_03_03_P34100003410000013201800022018-05-29<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 **-*번지대구광역시 중구 동성로*길 ** (공평동)41941폴리파크(POLYPARK)2018-05-29 17:06:07I2018-08-31 23:59:59<NA>344309.71562264309.215111동물용의료용구판매업<NA>000<NA>
67동물용의료용구판매업02_03_03_P34100003410000013202400012024-01-05<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ***-*대구광역시 중구 명륜로 **, 신한빌딩 *층 ***호 (남산동)41966제국무역2024-01-05 14:18:41I2024-01-07 00:16:28<NA>343548.185836263714.998192동물용의료용구판매업<NA>0000
78동물용의료용구판매업02_03_03_P34100003410000013202100022021-08-05<NA>1영업/정상0정상<NA><NA><NA><NA>424-1950<NA><NA>대구광역시 중구 동인동*가 ***-*대구광역시 중구 동덕로**길 ***-*(동인동*가)41946대왕메디칼2021-08-05 11:03:39I2021-08-07 00:22:51<NA>345388.270202264100.025759동물용의료용구판매업<NA>0000
89동물용의료용구판매업02_03_03_P34100003410000013197900011979-04-11<NA>3폐업2폐업2016-09-30<NA><NA><NA>424-99440.0<NA>대구광역시 중구 대봉동 ***-**번지대구광역시 중구 대봉로 *** (대봉동)41950주식회사 대구축산2016-09-30 13:57:08I2018-08-31 23:59:59<NA>344432.563324263763.687867동물용의료용구판매업<NA>000<NA>
910동물용의료용구판매업02_03_03_P34100003410000013202000012020-12-24<NA>3폐업2폐업2022-12-23<NA><NA><NA>557-9044<NA><NA>대구광역시 중구 동성로*가 **-** ****호대구광역시 중구 국채보상로 ***, ****호 (동성로*가)41937에스엠진단2022-12-23 16:29:32U2022-12-25 02:40:00<NA>343959.823762264529.39356동물용의료용구판매업<NA>0000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
112113동물용의료용구판매업02_03_03_P34700003470000013202200032022-05-18<NA>1영업/정상0정상<NA><NA><NA><NA>053-380-8000<NA><NA>대구광역시 달서구 상인동 ***-* 상인 대성 스카이렉스대구광역시 달서구 월배로 ***, 지하*층 (상인동, 상인 대성 스카이렉스)42781홈플러스 상인점2024-02-21 10:36:09U2024-02-23 02:40:00<NA>338508.039691258645.860959동물용의료용구판매업<NA>L000
113114동물용의료용구판매업02_03_03_P34700003470000013202200042022-06-10<NA>3폐업2폐업2023-11-24<NA><NA><NA>053-710-4797<NA><NA>대구광역시 달서구 대천동 **** 월배삼정그린코아포레스트대구광역시 달서구 조암남로**길 **, *층 ***,***,***,***,***호 (대천동, 월배삼정그린코아포레스트)42759(주)이마트에브리데이 대구대천점2023-11-24 09:22:44U2023-11-26 02:40:00<NA>336876.464696258882.959711동물용의료용구판매업<NA>L000
114115동물용의료용구판매업02_03_03_P34800003480000013202300012023-08-31<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 ***-* ***호대구광역시 달성군 다사읍 대실역남로*길 **, ***호42920견생냥품 무인24시 대구 죽곡점2023-08-31 09:14:04I2023-09-02 00:18:46<NA>332497.476208262303.989687동물용의료용구판매업<NA>0000
115116동물용의료용구판매업02_03_03_P34800003480000013201800012018-06-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 ***번지 테크노폴리스 M스퀘어+대구광역시 달성군 유가읍 테크노상업로 ***, 테크노폴리스 M스퀘어+ ***호43018폴리파크 테크노폴리스점2018-06-28 14:24:30I2018-08-31 23:59:59<NA>332209.678232244660.404546동물용의료용구판매업<NA>000<NA>
116117동물용의료용구판매업02_03_03_P34800003480000013201800022018-07-06<NA>1영업/정상0정상<NA><NA><NA><NA>053-586-0466<NA><NA>대구광역시 달성군 다사읍 죽곡리 **-*번지대구광역시 달성군 다사읍 달구벌대로 ***42915폴리파크 다사점2018-07-06 13:16:53I2018-08-31 23:59:59<NA>331994.266957263271.649552동물용의료용구판매업<NA>000<NA>
117118동물용의료용구판매업02_03_03_P34800003480000013202000012020-03-31<NA>1영업/정상0정상<NA><NA><NA><NA><NA>330.0<NA>대구광역시 달성군 화원읍 천내리 **-*대구광역시 달성군 화원읍 화원로*길 *, *층42955홍익메디케어 주식회사2023-08-23 10:16:36U2023-08-25 02:40:00<NA>335559.179282257163.326287동물용의료용구판매업<NA>L000
118119동물용의료용구판매업02_03_03_P34800003480000013202200012022-04-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천로 ***42930장보는 강아지와 고양이(세천점)2022-04-28 09:10:56I2022-04-30 00:22:32<NA>333039.054274264704.139034동물용의료용구판매업<NA>0000
119120동물용의료용구판매업02_03_03_P34800003480000013202200042022-05-19<NA>3폐업2폐업2023-11-21<NA><NA><NA>053-721-6424862.5<NA>대구광역시 달성군 다사읍 서재리 ***-*대구광역시 달성군 다사읍 서재로 ***42925(주)이마트에브리데이 대구서재점2023-11-22 09:40:10U2023-11-25 02:40:00<NA>335186.778586265044.867747동물용의료용구판매업<NA>L000
120121동물용의료용구판매업02_03_03_P34800003480000013202200022022-05-17<NA>3폐업2폐업2023-11-14<NA><NA><NA>053-721-6771759.0<NA>대구광역시 달성군 옥포읍 교항리 **** *층대구광역시 달성군 옥포읍 돌미상업로*길 **, *층42974(주)이마트에브리데이 대구옥포점2023-11-14 15:18:21U2023-11-16 02:40:00<NA>330172.717859254433.745592동물용의료용구판매업<NA>L000
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