Overview

Dataset statistics

Number of variables32
Number of observations119
Missing cells1068
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.9 KiB
Average record size in memory274.1 B

Variable types

Numeric7
Categorical10
DateTime4
Unsupported7
Text4

Dataset

Description23년11월_6270000_대구광역시_02_03_03_P_동물용의료용구판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101299&dataSetDetailId=DDI_0000101346&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (54.5%)Imbalance
영업상태명 is highly imbalanced (54.5%)Imbalance
상세영업상태코드 is highly imbalanced (54.5%)Imbalance
상세영업상태명 is highly imbalanced (54.5%)Imbalance
인허가취소일자 has 119 (100.0%) missing valuesMissing
폐업일자 has 99 (83.2%) missing valuesMissing
휴업시작일자 has 119 (100.0%) missing valuesMissing
휴업종료일자 has 119 (100.0%) missing valuesMissing
재개업일자 has 119 (100.0%) missing valuesMissing
소재지전화 has 37 (31.1%) missing valuesMissing
소재지면적 has 97 (81.5%) missing valuesMissing
소재지우편번호 has 119 (100.0%) missing valuesMissing
소재지전체주소 has 2 (1.7%) missing valuesMissing
업태구분명 has 119 (100.0%) missing valuesMissing
상세업무구분명 has 119 (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 started2023-12-16 05:05:13.939198
Analysis finished2023-12-16 05:05:15.294145
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T05:05:15.728197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2023-12-16T05:05:16.259785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 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%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
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 (%)
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%
112 1
0.8%
111 1
0.8%
110 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
동물용의료용구판매업
119 

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 119
100.0%

Length

2023-12-16T05:05:16.823979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:17.297609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 119
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
02_03_03_P
119 

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 119
100.0%

Length

2023-12-16T05:05:17.917740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:18.537627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 119
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445630.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T05:05:19.033130image/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 deviation20528.552
Coefficient of variation (CV)0.0059578511
Kurtosis-0.97677789
Mean3445630.3
Median Absolute Deviation (MAD)10000
Skewness-0.26520151
Sum4.1003 × 108
Variance4.2142145 × 108
MonotonicityIncreasing
2023-12-16T05:05:19.576721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 35
29.4%
3420000 21
17.6%
3460000 21
17.6%
3470000 12
 
10.1%
3410000 10
 
8.4%
3480000 8
 
6.7%
3430000 6
 
5.0%
3440000 6
 
5.0%
ValueCountFrequency (%)
3410000 10
 
8.4%
3420000 21
17.6%
3430000 6
 
5.0%
3440000 6
 
5.0%
3450000 35
29.4%
3460000 21
17.6%
3470000 12
 
10.1%
3480000 8
 
6.7%
ValueCountFrequency (%)
3480000 8
 
6.7%
3470000 12
 
10.1%
3460000 21
17.6%
3450000 35
29.4%
3440000 6
 
5.0%
3430000 6
 
5.0%
3420000 21
17.6%
3410000 10
 
8.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4456303 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T05:05:20.296309image/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 deviation2.0528552 × 1015
Coefficient of variation (CV)0.0059578511
Kurtosis-0.97677789
Mean3.4456303 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.26520151
Sum4.109512 × 1018
Variance4.2142145 × 1030
MonotonicityNot monotonic
2023-12-16T05:05:21.022738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
0.8%
341000001320150001 1
 
0.8%
346000001320190002 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%
Other values (109) 109
91.6%
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

Distinct93
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1979-04-11 00:00:00
Maximum2023-11-29 00:00:00
2023-12-16T05:05:21.843527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:05:22.612989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
98 
3
20 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 98
82.4%
3 20
 
16.8%
4 1
 
0.8%

Length

2023-12-16T05:05:23.342356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:23.966793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
82.4%
3 20
 
16.8%
4 1
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
98 
폐업
20 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.5714286
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 98
82.4%
폐업 20
 
16.8%
취소/말소/만료/정지/중지 1
 
0.8%

Length

2023-12-16T05:05:24.599472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:25.097099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 98
82.4%
폐업 20
 
16.8%
취소/말소/만료/정지/중지 1
 
0.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
98 
2
20 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 98
82.4%
2 20
 
16.8%
4 1
 
0.8%

Length

2023-12-16T05:05:25.939769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:26.672797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 98
82.4%
2 20
 
16.8%
4 1
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정상
98 
폐업
20 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
정상 98
82.4%
폐업 20
 
16.8%
말소 1
 
0.8%

Length

2023-12-16T05:05:27.315934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:27.817684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 98
82.4%
폐업 20
 
16.8%
말소 1
 
0.8%

폐업일자
Date

MISSING 

Distinct18
Distinct (%)90.0%
Missing99
Missing (%)83.2%
Memory size1.1 KiB
Minimum2016-09-30 00:00:00
Maximum2023-11-24 00:00:00
2023-12-16T05:05:28.626631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:05:29.324308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

소재지전화
Text

MISSING 

Distinct78
Distinct (%)95.1%
Missing37
Missing (%)31.1%
Memory size1.1 KiB
2023-12-16T05:05:30.589783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.060976
Min length7

Characters and Unicode

Total characters907
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

Unique74 ?
Unique (%)90.2%

Sample

1st row053-424-0042
2nd row425-7323
3rd row428-2020
4th row422-4327
5th row424-1950
ValueCountFrequency (%)
0536262605 2
 
2.4%
422-4327 2
 
2.4%
053-217-7147 2
 
2.4%
0533839661 2
 
2.4%
0533844758 1
 
1.2%
053-744-2825 1
 
1.2%
053-767-4317 1
 
1.2%
053-753-4313 1
 
1.2%
053-793-0279 1
 
1.2%
0537638866 1
 
1.2%
Other values (68) 68
82.9%
2023-12-16T05:05:34.220536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
15.4%
3 136
15.0%
5 130
14.3%
- 115
12.7%
7 72
7.9%
6 65
7.2%
4 65
7.2%
2 64
7.1%
1 47
 
5.2%
8 46
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 792
87.3%
Dash Punctuation 115
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
17.7%
3 136
17.2%
5 130
16.4%
7 72
9.1%
6 65
8.2%
4 65
8.2%
2 64
8.1%
1 47
 
5.9%
8 46
 
5.8%
9 27
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 907
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
15.4%
3 136
15.0%
5 130
14.3%
- 115
12.7%
7 72
7.9%
6 65
7.2%
4 65
7.2%
2 64
7.1%
1 47
 
5.2%
8 46
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
15.4%
3 136
15.0%
5 130
14.3%
- 115
12.7%
7 72
7.9%
6 65
7.2%
4 65
7.2%
2 64
7.1%
1 47
 
5.2%
8 46
 
5.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing97
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean440.93045
Minimum0
Maximum1685.1
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T05:05:35.421260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.05
Q195.26
median265.515
Q3679.55
95-th percentile1121.0695
Maximum1685.1
Range1685.1
Interquartile range (IQR)584.29

Descriptive statistics

Standard deviation442.34917
Coefficient of variation (CV)1.0032176
Kurtosis1.4745134
Mean440.93045
Median Absolute Deviation (MAD)183.465
Skewness1.3595859
Sum9700.47
Variance195672.79
MonotonicityNot monotonic
2023-12-16T05:05:35.959774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
441.2 2
 
1.7%
49.0 1
 
0.8%
330.0 1
 
0.8%
759.0 1
 
0.8%
862.5 1
 
0.8%
970.2 1
 
0.8%
1685.1 1
 
0.8%
207.75 1
 
0.8%
75.0 1
 
0.8%
269.0 1
 
0.8%
Other values (11) 11
 
9.2%
(Missing) 97
81.5%
ValueCountFrequency (%)
0.0 1
0.8%
48.0 1
0.8%
49.0 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%
258.18 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
1.7%
438.0 1
0.8%
330.0 1
0.8%
269.0 1
0.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

소재지전체주소
Text

MISSING 

Distinct102
Distinct (%)87.2%
Missing2
Missing (%)1.7%
Memory size1.1 KiB
2023-12-16T05:05:37.176450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length23.991453
Min length17

Characters and Unicode

Total characters2807
Distinct characters151
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

Unique92 ?
Unique (%)78.6%

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 동성로*가 **-*
ValueCountFrequency (%)
대구광역시 117
21.1%
69
 
12.4%
번지 48
 
8.6%
북구 34
 
6.1%
동구 21
 
3.8%
산격동 19
 
3.4%
수성구 19
 
3.4%
호 18
 
3.2%
층 14
 
2.5%
달서구 13
 
2.3%
Other values (99) 183
33.0%
2023-12-16T05:05:39.321895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 590
21.0%
542
19.3%
구 230
 
8.2%
동 145
 
5.2%
대 133
 
4.7%
시 122
 
4.3%
역 118
 
4.2%
광 117
 
4.2%
- 86
 
3.1%
지 60
 
2.1%
Other values (141) 664
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1579
56.3%
Other Punctuation 593
 
21.1%
Space Separator 542
 
19.3%
Dash Punctuation 86
 
3.1%
Uppercase Letter 6
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 230
14.6%
동 145
 
9.2%
대 133
 
8.4%
시 122
 
7.7%
역 118
 
7.5%
광 117
 
7.4%
지 60
 
3.8%
번 48
 
3.0%
산 38
 
2.4%
성 34
 
2.2%
Other values (130) 534
33.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
K 1
16.7%
S 1
16.7%
B 1
16.7%
T 1
16.7%
P 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 590
99.5%
, 3
 
0.5%
Space Separator
ValueCountFrequency (%)
542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1579
56.3%
Common 1222
43.5%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 230
14.6%
동 145
 
9.2%
대 133
 
8.4%
시 122
 
7.7%
역 118
 
7.5%
광 117
 
7.4%
지 60
 
3.8%
번 48
 
3.0%
산 38
 
2.4%
성 34
 
2.2%
Other values (130) 534
33.8%
Latin
ValueCountFrequency (%)
M 1
16.7%
K 1
16.7%
S 1
16.7%
B 1
16.7%
T 1
16.7%
P 1
16.7%
Common
ValueCountFrequency (%)
* 590
48.3%
542
44.4%
- 86
 
7.0%
, 3
 
0.2%
+ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1579
56.3%
ASCII 1228
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 590
48.0%
542
44.1%
- 86
 
7.0%
, 3
 
0.2%
M 1
 
0.1%
+ 1
 
0.1%
K 1
 
0.1%
S 1
 
0.1%
B 1
 
0.1%
T 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 230
14.6%
동 145
 
9.2%
대 133
 
8.4%
시 122
 
7.7%
역 118
 
7.5%
광 117
 
7.4%
지 60
 
3.8%
번 48
 
3.0%
산 38
 
2.4%
성 34
 
2.2%
Other values (130) 534
33.8%

도로명전체주소
Text

Distinct110
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-16T05:05:40.483574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length45
Mean length30.016807
Min length21

Characters and Unicode

Total characters3572
Distinct characters191
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

Unique103 ?
Unique (%)86.6%

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 **-*, *층 (동성로*가)
ValueCountFrequency (%)
대구광역시 119
 
16.6%
112
 
15.6%
층 37
 
5.2%
북구 35
 
4.9%
호 28
 
3.9%
동구 21
 
2.9%
수성구 21
 
2.9%
산격동 20
 
2.8%
동 12
 
1.7%
달서구 12
 
1.7%
Other values (179) 300
41.8%
2023-12-16T05:05:42.460251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
600
16.8%
* 568
15.9%
구 246
 
6.9%
동 174
 
4.9%
대 160
 
4.5%
시 126
 
3.5%
역 122
 
3.4%
로 121
 
3.4%
광 119
 
3.3%
) 111
 
3.1%
Other values (181) 1225
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2066
57.8%
Other Punctuation 652
 
18.3%
Space Separator 600
 
16.8%
Close Punctuation 111
 
3.1%
Open Punctuation 111
 
3.1%
Dash Punctuation 25
 
0.7%
Uppercase Letter 6
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 246
 
11.9%
동 174
 
8.4%
대 160
 
7.7%
시 126
 
6.1%
역 122
 
5.9%
로 121
 
5.9%
광 119
 
5.8%
성 45
 
2.2%
북 43
 
2.1%
길 42
 
2.0%
Other values (168) 868
42.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
T 1
16.7%
S 1
16.7%
K 1
16.7%
B 1
16.7%
P 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 568
87.1%
, 84
 
12.9%
Space Separator
ValueCountFrequency (%)
600
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2066
57.8%
Common 1500
42.0%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 246
 
11.9%
동 174
 
8.4%
대 160
 
7.7%
시 126
 
6.1%
역 122
 
5.9%
로 121
 
5.9%
광 119
 
5.8%
성 45
 
2.2%
북 43
 
2.1%
길 42
 
2.0%
Other values (168) 868
42.0%
Common
ValueCountFrequency (%)
600
40.0%
* 568
37.9%
) 111
 
7.4%
( 111
 
7.4%
, 84
 
5.6%
- 25
 
1.7%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
M 1
16.7%
T 1
16.7%
S 1
16.7%
K 1
16.7%
B 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2066
57.8%
ASCII 1506
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
600
39.8%
* 568
37.7%
) 111
 
7.4%
( 111
 
7.4%
, 84
 
5.6%
- 25
 
1.7%
M 1
 
0.1%
T 1
 
0.1%
S 1
 
0.1%
K 1
 
0.1%
Other values (3) 3
 
0.2%
Hangul
ValueCountFrequency (%)
구 246
 
11.9%
동 174
 
8.4%
대 160
 
7.7%
시 126
 
6.1%
역 122
 
5.9%
로 121
 
5.9%
광 119
 
5.8%
성 45
 
2.2%
북 43
 
2.1%
길 42
 
2.0%
Other values (168) 868
42.0%

도로명우편번호
Real number (ℝ)

Distinct99
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41877.824
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T05:05:43.427344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41123.1
Q141504.5
median41824
Q342256
95-th percentile42918.2
Maximum43018
Range1982
Interquartile range (IQR)751.5

Descriptive statistics

Standard deviation557.27838
Coefficient of variation (CV)0.013307243
Kurtosis-0.88783617
Mean41877.824
Median Absolute Deviation (MAD)363
Skewness0.45162904
Sum4983461
Variance310559.2
MonotonicityNot monotonic
2023-12-16T05:05:44.966375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41516 6
 
5.0%
41515 3
 
2.5%
41549 3
 
2.5%
42261 3
 
2.5%
41518 3
 
2.5%
41267 2
 
1.7%
41940 2
 
1.7%
41504 2
 
1.7%
42405 2
 
1.7%
41824 2
 
1.7%
Other values (89) 91
76.5%
ValueCountFrequency (%)
41036 1
0.8%
41067 1
0.8%
41077 1
0.8%
41084 1
0.8%
41106 2
1.7%
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

Distinct112
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-16T05:05:46.422416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.6470588
Min length2

Characters and Unicode

Total characters1029
Distinct characters202
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

Unique105 ?
Unique (%)88.2%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row삼아유통
ValueCountFrequency (%)
폴리파크 17
 
9.2%
주식회사 16
 
8.6%
주)이마트에브리데이 6
 
3.2%
주)포파코 4
 
2.2%
홈플러스 3
 
1.6%
포파코 3
 
1.6%
폴리파크(polypark 2
 
1.1%
칠곡점 2
 
1.1%
홈플러스(주 2
 
1.1%
견생냥품 2
 
1.1%
Other values (117) 128
69.2%
2023-12-16T05:05:48.666685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
6.4%
이 43
 
4.2%
주 42
 
4.1%
점 41
 
4.0%
파 33
 
3.2%
리 32
 
3.1%
( 32
 
3.1%
) 32
 
3.1%
스 30
 
2.9%
사 30
 
2.9%
Other values (192) 648
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
82.4%
Space Separator 66
 
6.4%
Uppercase Letter 41
 
4.0%
Open Punctuation 32
 
3.1%
Close Punctuation 32
 
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 (%)
이 43
 
5.1%
주 42
 
5.0%
점 41
 
4.8%
파 33
 
3.9%
리 32
 
3.8%
스 30
 
3.5%
사 30
 
3.5%
크 24
 
2.8%
폴 22
 
2.6%
대 21
 
2.5%
Other values (165) 530
62.5%
Uppercase Letter
ValueCountFrequency (%)
I 5
12.2%
O 5
12.2%
N 4
9.8%
P 4
9.8%
A 3
 
7.3%
R 3
 
7.3%
S 3
 
7.3%
B 2
 
4.9%
K 2
 
4.9%
Y 2
 
4.9%
Other values (6) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 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%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
82.4%
Common 137
 
13.3%
Latin 44
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 43
 
5.1%
주 42
 
5.0%
점 41
 
4.8%
파 33
 
3.9%
리 32
 
3.8%
스 30
 
3.5%
사 30
 
3.5%
크 24
 
2.8%
폴 22
 
2.6%
대 21
 
2.5%
Other values (165) 530
62.5%
Latin
ValueCountFrequency (%)
I 5
11.4%
O 5
11.4%
N 4
 
9.1%
P 4
 
9.1%
A 3
 
6.8%
R 3
 
6.8%
S 3
 
6.8%
B 2
 
4.5%
K 2
 
4.5%
Y 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
66
48.2%
( 32
23.4%
) 32
23.4%
4 2
 
1.5%
2 2
 
1.5%
& 1
 
0.7%
; 1
 
0.7%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
82.4%
ASCII 181
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
36.5%
( 32
17.7%
) 32
17.7%
I 5
 
2.8%
O 5
 
2.8%
N 4
 
2.2%
P 4
 
2.2%
A 3
 
1.7%
R 3
 
1.7%
S 3
 
1.7%
Other values (17) 24
 
13.3%
Hangul
ValueCountFrequency (%)
이 43
 
5.1%
주 42
 
5.0%
점 41
 
4.8%
파 33
 
3.9%
리 32
 
3.8%
스 30
 
3.5%
사 30
 
3.5%
크 24
 
2.8%
폴 22
 
2.6%
대 21
 
2.5%
Other values (165) 530
62.5%

최종수정시점
Date

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2012-06-14 13:11:52
Maximum2023-11-29 15:40:32
2023-12-16T05:05:49.452760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:05:50.281271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
92 
U
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 92
77.3%
U 27
 
22.7%

Length

2023-12-16T05:05:51.077450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:51.700144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 92
77.3%
u 27
 
22.7%

데이터갱신일자
Date

Distinct76
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:16:59
2023-12-16T05:05:52.752070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:05:54.002526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct107
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344335.69
Minimum330172.72
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T05:05:55.398943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330172.72
5-th percentile334842.14
Q1341868.45
median345206.58
Q3346724.15
95-th percentile353175.56
Maximum356611.47
Range26438.753
Interquartile range (IQR)4855.6996

Descriptive statistics

Standard deviation5290.7493
Coefficient of variation (CV)0.015365091
Kurtosis0.45819945
Mean344335.69
Median Absolute Deviation (MAD)2321.6772
Skewness-0.30988186
Sum40975947
Variance27992028
MonotonicityNot monotonic
2023-12-16T05:05:56.426263image/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
 
1.7%
344686.25933796 2
 
1.7%
344309.71561975 2
 
1.7%
345575.460989658 2
 
1.7%
343512.646243623 2
 
1.7%
353019.137710448 2
 
1.7%
345793.311978229 2
 
1.7%
342148.918219149 2
 
1.7%
Other values (97) 97
81.5%
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
1.7%
352986.591397707 1
0.8%
352915.098010084 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct107
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264531.77
Minimum244660.4
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T05:05:57.168972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244660.4
5-th percentile258859.25
Q1262564.81
median264627.12
Q3267174.94
95-th percentile269054.24
Maximum273217.03
Range28556.626
Interquartile range (IQR)4610.1348

Descriptive statistics

Standard deviation3907.8755
Coefficient of variation (CV)0.014772802
Kurtosis4.9189673
Mean264531.77
Median Absolute Deviation (MAD)2323.1273
Skewness-1.1252324
Sum31479280
Variance15271491
MonotonicityNot monotonic
2023-12-16T05:05:58.301701image/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
 
1.7%
263958.880864104 2
 
1.7%
264309.215110644 2
 
1.7%
268870.659507124 2
 
1.7%
266932.505111341 2
 
1.7%
261926.16291801 2
 
1.7%
264564.232699088 2
 
1.7%
262782.01184369 2
 
1.7%
Other values (97) 97
81.5%
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 1
 
0.8%
270836.56470119 1
 
0.8%
270352.090359897 1
 
0.8%
270241.487522723 1
 
0.8%
268922.318187476 1
 
0.8%
268913.137449925 1
 
0.8%
268870.659507124 2
1.7%
268737.493191492 3
2.5%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
동물용의료용구판매업
119 

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 119
100.0%

Length

2023-12-16T05:05:59.080297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:05:59.651733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 119
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
000
79 
L00
40 

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 79
66.4%
L00 40
33.6%

Length

2023-12-16T05:06:00.330183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:00.911673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 79
66.4%
l00 40
33.6%

총직원수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
60 
0
59 

Length

Max length4
Median length4
Mean length2.512605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 60
50.4%
0 59
49.6%

Length

2023-12-16T05:06:01.802103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:06:02.386675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
50.4%
0 59
49.6%

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_P34100003410000013202100012021-01-13<NA>3폐업2폐업2023-05-19<NA><NA><NA>428-2020<NA><NA>대구광역시 중구 동성로*가 **-*대구광역시 중구 동성로 **-*, *층 (동성로*가)41913삼아유통2023-05-19 11:46:18U2023-05-21 02:40:00<NA>344053.360694264627.11698동물용의료용구판매업<NA>0000
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_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
78동물용의료용구판매업02_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>
89동물용의료용구판매업02_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
910동물용의료용구판매업02_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
109110동물용의료용구판매업02_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 상인점2022-05-18 10:00:23I2022-05-20 00:22:32<NA>338508.039691258645.860959동물용의료용구판매업<NA>L000
110111동물용의료용구판매업02_03_03_P34700003470000013202300012023-04-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 ****-**대구광역시 달서구 이곡서로 **, 디에스 비즈니스센터 *층 ***호 (이곡동)42612케이에이비비 바이오(주)2023-04-20 14:32:12I2023-04-23 00:20:19<NA>335813.054931262605.982519동물용의료용구판매업<NA>L000
111112동물용의료용구판매업02_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
112113동물용의료용구판매업02_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>
113114동물용의료용구판매업02_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>
114115동물용의료용구판매업02_03_03_P34800003480000013202200032022-05-17<NA>3폐업2폐업2023-11-23<NA><NA><NA>053-719-0144970.2<NA>대구광역시 달성군 다사읍 죽곡리 ***-*대구광역시 달성군 다사읍 대실역남로 **42918(주)이마트에브리데이 대구죽곡점2023-11-23 15:30:56U2023-11-25 02:40:00<NA>332211.021477262783.711758동물용의료용구판매업<NA>L000
115116동물용의료용구판매업02_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
116117동물용의료용구판매업02_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
117118동물용의료용구판매업02_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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