Overview

Dataset statistics

Number of variables32
Number of observations26
Missing cells211
Missing cells (%)25.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory276.9 B

Variable types

Numeric7
Categorical10
DateTime5
Unsupported6
Text4

Dataset

Description23년05월_6270000_대구광역시_02_03_04_P_동물용의약품도매상
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098099&dataSetDetailId=DDI_0000098140&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 17 (65.4%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 21 (80.8%) missing valuesMissing
소재지전화 has 7 (26.9%) missing valuesMissing
소재지면적 has 6 (23.1%) missing valuesMissing
소재지우편번호 has 26 (100.0%) missing valuesMissing
소재지전체주소 has 2 (7.7%) missing valuesMissing
도로명우편번호 has 2 (7.7%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
상세업무구분명 has 26 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
도로명전체주소 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
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
소재지면적 has 6 (23.1%) zerosZeros

Reproduction

Analysis started2024-04-21 09:58:57.113194
Analysis finished2024-04-21 09:58:57.743789
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T18:58:57.848213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-04-21T18:58:58.064058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
동물용의약품도매상
26 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의약품도매상 26
100.0%

Length

2024-04-21T18:58:58.274570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:58:58.431719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의약품도매상 26
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
02_03_04_P
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_04_P
2nd row02_03_04_P
3rd row02_03_04_P
4th row02_03_04_P
5th row02_03_04_P

Common Values

ValueCountFrequency (%)
02_03_04_P 26
100.0%

Length

2024-04-21T18:58:58.593500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:58:58.749365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_04_p 26
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442307.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T18:58:58.888638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33467500
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)47500

Descriptive statistics

Standard deviation26729.413
Coefficient of variation (CV)0.0077649692
Kurtosis-1.6120804
Mean3442307.7
Median Absolute Deviation (MAD)20000
Skewness0.2360402
Sum89500000
Variance7.1446154 × 108
MonotonicityIncreasing
2024-04-21T18:58:59.078062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3420000 8
30.8%
3480000 5
19.2%
3410000 4
15.4%
3460000 3
 
11.5%
3440000 2
 
7.7%
3450000 2
 
7.7%
3470000 2
 
7.7%
ValueCountFrequency (%)
3410000 4
15.4%
3420000 8
30.8%
3440000 2
 
7.7%
3450000 2
 
7.7%
3460000 3
 
11.5%
3470000 2
 
7.7%
3480000 5
19.2%
ValueCountFrequency (%)
3480000 5
19.2%
3470000 2
 
7.7%
3460000 3
 
11.5%
3450000 2
 
7.7%
3440000 2
 
7.7%
3420000 8
30.8%
3410000 4
15.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4423077 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T18:58:59.293111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.41 × 1017
Q13.42 × 1017
median3.44 × 1017
Q33.4675 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4.75 × 1015

Descriptive statistics

Standard deviation2.6729413 × 1015
Coefficient of variation (CV)0.0077649692
Kurtosis-1.6120804
Mean3.4423077 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness0.2360402
Sum8.95 × 1018
Variance7.1446154 × 1030
MonotonicityNot monotonic
2024-04-21T18:58:59.519165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
341000001220230001 1
 
3.8%
345000001220130001 1
 
3.8%
348000001220160001 1
 
3.8%
348000001219970001 1
 
3.8%
348000001220200001 1
 
3.8%
348000001220030001 1
 
3.8%
348000001220180001 1
 
3.8%
347000001220130001 1
 
3.8%
347000001220210001 1
 
3.8%
346000001220180001 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
341000001220130001 1
3.8%
341000001220130002 1
3.8%
341000001220140001 1
3.8%
341000001220230001 1
3.8%
342000001220130001 1
3.8%
342000001220130002 1
3.8%
342000001220130003 1
3.8%
342000001220130004 1
3.8%
342000001220140001 1
3.8%
342000001220190001 1
3.8%
ValueCountFrequency (%)
348000001220200001 1
3.8%
348000001220180001 1
3.8%
348000001220160001 1
3.8%
348000001220030001 1
3.8%
348000001219970001 1
3.8%
347000001220210001 1
3.8%
347000001220130001 1
3.8%
346000001220180001 1
3.8%
346000001220160001 1
3.8%
346000001220150001 1
3.8%

인허가일자
Date

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size336.0 B
Minimum1978-06-17 00:00:00
Maximum2023-05-16 00:00:00
2024-04-21T18:58:59.724055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:58:59.931494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size362.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
1
17 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
65.4%
3 9
34.6%

Length

2024-04-21T18:59:00.277028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:00.592098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
65.4%
3 9
34.6%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
영업/정상
17 
폐업
9 

Length

Max length5
Median length5
Mean length3.9615385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
65.4%
폐업 9
34.6%

Length

2024-04-21T18:59:00.952637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:01.280364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
65.4%
폐업 9
34.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
0
17 
2
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
65.4%
2 9
34.6%

Length

2024-04-21T18:59:01.600922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:01.903130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
65.4%
2 9
34.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
정상
17 
폐업
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 17
65.4%
폐업 9
34.6%

Length

2024-04-21T18:59:02.220994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:02.520062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 17
65.4%
폐업 9
34.6%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing17
Missing (%)65.4%
Memory size336.0 B
Minimum2013-07-23 00:00:00
Maximum2020-02-18 00:00:00
2024-04-21T18:59:02.805921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:59:03.111510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size362.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size362.0 B

재개업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing21
Missing (%)80.8%
Memory size336.0 B
Minimum2016-12-08 00:00:00
Maximum2020-02-18 00:00:00
2024-04-21T18:59:03.414757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:59:03.751286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

소재지전화
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing7
Missing (%)26.9%
Memory size336.0 B
2024-04-21T18:59:04.430840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.210526
Min length7

Characters and Unicode

Total characters194
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row053-423-7535
2nd row053-423-9999
3rd row424-9944
4th row425-0102
5th row1588-1359
ValueCountFrequency (%)
053-423-7535 1
 
5.3%
381-0044 1
 
5.3%
762-4455 1
 
5.3%
634-6777 1
 
5.3%
053-635-6699 1
 
5.3%
053-626-6001 1
 
5.3%
053-292-9423~4 1
 
5.3%
7452326 1
 
5.3%
7931350 1
 
5.3%
0534239999 1
 
5.3%
Other values (9) 9
47.4%
2024-04-21T18:59:05.563282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 29
14.9%
5 24
12.4%
- 24
12.4%
3 23
11.9%
4 21
10.8%
9 17
8.8%
2 14
7.2%
7 11
 
5.7%
8 11
 
5.7%
6 11
 
5.7%
Other values (2) 9
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 169
87.1%
Dash Punctuation 24
 
12.4%
Math Symbol 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29
17.2%
5 24
14.2%
3 23
13.6%
4 21
12.4%
9 17
10.1%
2 14
8.3%
7 11
 
6.5%
8 11
 
6.5%
6 11
 
6.5%
1 8
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 29
14.9%
5 24
12.4%
- 24
12.4%
3 23
11.9%
4 21
10.8%
9 17
8.8%
2 14
7.2%
7 11
 
5.7%
8 11
 
5.7%
6 11
 
5.7%
Other values (2) 9
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 29
14.9%
5 24
12.4%
- 24
12.4%
3 23
11.9%
4 21
10.8%
9 17
8.8%
2 14
7.2%
7 11
 
5.7%
8 11
 
5.7%
6 11
 
5.7%
Other values (2) 9
 
4.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)75.0%
Missing6
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean99.2775
Minimum0
Maximum330.1
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T18:59:05.761694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88.21
Q3141.4425
95-th percentile292.898
Maximum330.1
Range330.1
Interquartile range (IQR)141.4425

Descriptive statistics

Standard deviation96.517827
Coefficient of variation (CV)0.97220243
Kurtosis0.56726803
Mean99.2775
Median Absolute Deviation (MAD)70.58
Skewness0.96525396
Sum1985.55
Variance9315.691
MonotonicityNot monotonic
2024-04-21T18:59:05.953520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 6
23.1%
101.74 1
 
3.8%
130.8 1
 
3.8%
93.7 1
 
3.8%
131.14 1
 
3.8%
203.1 1
 
3.8%
67.0 1
 
3.8%
165.0 1
 
3.8%
290.94 1
 
3.8%
152.58 1
 
3.8%
Other values (5) 5
19.2%
(Missing) 6
23.1%
ValueCountFrequency (%)
0.0 6
23.1%
42.0 1
 
3.8%
57.0 1
 
3.8%
67.0 1
 
3.8%
82.72 1
 
3.8%
93.7 1
 
3.8%
101.74 1
 
3.8%
130.8 1
 
3.8%
131.14 1
 
3.8%
137.73 1
 
3.8%
ValueCountFrequency (%)
330.1 1
3.8%
290.94 1
3.8%
203.1 1
3.8%
165.0 1
3.8%
152.58 1
3.8%
137.73 1
3.8%
131.14 1
3.8%
130.8 1
3.8%
101.74 1
3.8%
93.7 1
3.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size362.0 B

소재지전체주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size336.0 B
2024-04-21T18:59:06.616742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length21.5
Min length18

Characters and Unicode

Total characters516
Distinct characters71
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 태평로1가 1-187 태평라이프아파트 209호
2nd row대구광역시 중구 동인동3가 271-11 2층
3rd row대구광역시 중구 대봉동 715-15
4th row대구광역시 중구 삼덕동2가 297
5th row대구광역시 동구 상매동 505-10
ValueCountFrequency (%)
대구광역시 24
22.4%
동구 7
 
6.5%
달성군 5
 
4.7%
중구 4
 
3.7%
화원읍 4
 
3.7%
봉덕동 2
 
1.9%
729-4 2
 
1.9%
달서구 2
 
1.9%
천내리 2
 
1.9%
신천동 2
 
1.9%
Other values (48) 53
49.5%
2024-04-21T18:59:07.533714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
20.5%
구 43
 
8.3%
1 27
 
5.2%
동 26
 
5.0%
대 25
 
4.8%
광 24
 
4.7%
역 24
 
4.7%
시 24
 
4.7%
- 19
 
3.7%
3 14
 
2.7%
Other values (61) 184
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
54.3%
Decimal Number 110
 
21.3%
Space Separator 106
 
20.5%
Dash Punctuation 19
 
3.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 43
15.4%
동 26
 
9.3%
대 25
 
8.9%
광 24
 
8.6%
역 24
 
8.6%
시 24
 
8.6%
성 8
 
2.9%
달 7
 
2.5%
리 5
 
1.8%
군 5
 
1.8%
Other values (48) 89
31.8%
Decimal Number
ValueCountFrequency (%)
1 27
24.5%
3 14
12.7%
2 14
12.7%
9 14
12.7%
7 10
 
9.1%
5 9
 
8.2%
8 8
 
7.3%
0 7
 
6.4%
4 5
 
4.5%
6 2
 
1.8%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
54.3%
Common 236
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 43
15.4%
동 26
 
9.3%
대 25
 
8.9%
광 24
 
8.6%
역 24
 
8.6%
시 24
 
8.6%
성 8
 
2.9%
달 7
 
2.5%
리 5
 
1.8%
군 5
 
1.8%
Other values (48) 89
31.8%
Common
ValueCountFrequency (%)
106
44.9%
1 27
 
11.4%
- 19
 
8.1%
3 14
 
5.9%
2 14
 
5.9%
9 14
 
5.9%
7 10
 
4.2%
5 9
 
3.8%
8 8
 
3.4%
0 7
 
3.0%
Other values (3) 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
54.3%
ASCII 236
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
44.9%
1 27
 
11.4%
- 19
 
8.1%
3 14
 
5.9%
2 14
 
5.9%
9 14
 
5.9%
7 10
 
4.2%
5 9
 
3.8%
8 8
 
3.4%
0 7
 
3.0%
Other values (3) 8
 
3.4%
Hangul
ValueCountFrequency (%)
구 43
15.4%
동 26
 
9.3%
대 25
 
8.9%
광 24
 
8.6%
역 24
 
8.6%
시 24
 
8.6%
성 8
 
2.9%
달 7
 
2.5%
리 5
 
1.8%
군 5
 
1.8%
Other values (48) 89
31.8%

도로명전체주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-04-21T18:59:08.307231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length26.153846
Min length19

Characters and Unicode

Total characters680
Distinct characters94
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 태평로 177, 2층 209호 (태평로1가, 태평라이프아파트)
2nd row대구광역시 중구 태평로 285, 2층 (동인동3가)
3rd row대구광역시 중구 달구벌대로 2164 (대봉동)
4th row대구광역시 중구 달구벌대로 2201-6 (삼덕동2가)
5th row대구광역시 동구 이노밸리로 3, 중앙빌딩 403호 (상매동)
ValueCountFrequency (%)
대구광역시 26
 
18.4%
동구 8
 
5.7%
달성군 5
 
3.5%
중구 4
 
2.8%
화원읍 4
 
2.8%
2층 4
 
2.8%
신천동 3
 
2.1%
달구벌대로 3
 
2.1%
수성구 3
 
2.1%
달서구 2
 
1.4%
Other values (69) 79
56.0%
2024-04-21T18:59:09.294015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
16.9%
구 52
 
7.6%
대 35
 
5.1%
동 33
 
4.9%
2 27
 
4.0%
로 27
 
4.0%
광 26
 
3.8%
역 26
 
3.8%
시 26
 
3.8%
( 21
 
3.1%
Other values (84) 292
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
59.1%
Space Separator 115
 
16.9%
Decimal Number 105
 
15.4%
Open Punctuation 21
 
3.1%
Close Punctuation 21
 
3.1%
Other Punctuation 12
 
1.8%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 52
 
12.9%
대 35
 
8.7%
동 33
 
8.2%
로 27
 
6.7%
광 26
 
6.5%
역 26
 
6.5%
시 26
 
6.5%
길 11
 
2.7%
달 10
 
2.5%
층 9
 
2.2%
Other values (69) 147
36.6%
Decimal Number
ValueCountFrequency (%)
2 27
25.7%
1 19
18.1%
3 14
13.3%
4 9
 
8.6%
5 9
 
8.6%
6 7
 
6.7%
8 5
 
4.8%
7 5
 
4.8%
0 5
 
4.8%
9 5
 
4.8%
Space Separator
ValueCountFrequency (%)
115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
59.1%
Common 278
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 52
 
12.9%
대 35
 
8.7%
동 33
 
8.2%
로 27
 
6.7%
광 26
 
6.5%
역 26
 
6.5%
시 26
 
6.5%
길 11
 
2.7%
달 10
 
2.5%
층 9
 
2.2%
Other values (69) 147
36.6%
Common
ValueCountFrequency (%)
115
41.4%
2 27
 
9.7%
( 21
 
7.6%
) 21
 
7.6%
1 19
 
6.8%
3 14
 
5.0%
, 12
 
4.3%
4 9
 
3.2%
5 9
 
3.2%
6 7
 
2.5%
Other values (5) 24
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
59.1%
ASCII 278
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
41.4%
2 27
 
9.7%
( 21
 
7.6%
) 21
 
7.6%
1 19
 
6.8%
3 14
 
5.0%
, 12
 
4.3%
4 9
 
3.2%
5 9
 
3.2%
6 7
 
2.5%
Other values (5) 24
 
8.6%
Hangul
ValueCountFrequency (%)
구 52
 
12.9%
대 35
 
8.7%
동 33
 
8.2%
로 27
 
6.7%
광 26
 
6.5%
역 26
 
6.5%
시 26
 
6.5%
길 11
 
2.7%
달 10
 
2.5%
층 9
 
2.2%
Other values (69) 147
36.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing2
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean41980.458
Minimum41029
Maximum42956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T18:59:09.509582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41029
5-th percentile41059.9
Q141262
median41949
Q342503.5
95-th percentile42953.95
Maximum42956
Range1927
Interquartile range (IQR)1241.5

Descriptive statistics

Standard deviation685.9491
Coefficient of variation (CV)0.016339724
Kurtosis-1.3962955
Mean41980.458
Median Absolute Deviation (MAD)688
Skewness0.092515721
Sum1007531
Variance470526.17
MonotonicityNot monotonic
2024-04-21T18:59:09.728429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
42425 2
 
7.7%
41516 1
 
3.8%
42956 1
 
3.8%
42955 1
 
3.8%
42948 1
 
3.8%
42941 1
 
3.8%
42819 1
 
3.8%
42739 1
 
3.8%
42175 1
 
3.8%
42052 1
 
3.8%
Other values (13) 13
50.0%
(Missing) 2
 
7.7%
ValueCountFrequency (%)
41029 1
3.8%
41059 1
3.8%
41065 1
3.8%
41218 1
3.8%
41230 1
3.8%
41259 1
3.8%
41263 1
3.8%
41475 1
3.8%
41516 1
3.8%
41903 1
3.8%
ValueCountFrequency (%)
42956 1
3.8%
42955 1
3.8%
42948 1
3.8%
42941 1
3.8%
42819 1
3.8%
42739 1
3.8%
42425 2
7.7%
42277 1
3.8%
42175 1
3.8%
42052 1
3.8%

사업장명
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-04-21T18:59:10.289343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length7.6538462
Min length4

Characters and Unicode

Total characters199
Distinct characters70
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

Unique22 ?
Unique (%)84.6%

Sample

1st row주식회사 코미 대구사무소
2nd row미래플러스팜
3rd row주식회사 대구축산
4th row주식회사 대구애니멀
5th row제이에스팜
ValueCountFrequency (%)
주식회사 6
 
17.6%
경수약품(주 2
 
5.9%
미래플러스팜 2
 
5.9%
디에스팜 1
 
2.9%
대구사무소 1
 
2.9%
코미 1
 
2.9%
주)우일축산약품 1
 
2.9%
하동동물약품상사 1
 
2.9%
홍익메디케어 1
 
2.9%
계명축산약품상사 1
 
2.9%
Other values (17) 17
50.0%
2024-04-21T18:59:11.048692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 12
 
6.0%
약 11
 
5.5%
품 11
 
5.5%
사 9
 
4.5%
8
 
4.0%
팜 8
 
4.0%
스 7
 
3.5%
( 7
 
3.5%
) 7
 
3.5%
식 6
 
3.0%
Other values (60) 113
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
86.4%
Space Separator 8
 
4.0%
Open Punctuation 7
 
3.5%
Close Punctuation 7
 
3.5%
Uppercase Letter 4
 
2.0%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
7.0%
약 11
 
6.4%
품 11
 
6.4%
사 9
 
5.2%
팜 8
 
4.7%
스 7
 
4.1%
식 6
 
3.5%
회 6
 
3.5%
산 5
 
2.9%
축 5
 
2.9%
Other values (52) 92
53.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
F 1
25.0%
J 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
86.4%
Common 23
 
11.6%
Latin 4
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
7.0%
약 11
 
6.4%
품 11
 
6.4%
사 9
 
5.2%
팜 8
 
4.7%
스 7
 
4.1%
식 6
 
3.5%
회 6
 
3.5%
산 5
 
2.9%
축 5
 
2.9%
Other values (52) 92
53.5%
Common
ValueCountFrequency (%)
8
34.8%
( 7
30.4%
) 7
30.4%
& 1
 
4.3%
Latin
ValueCountFrequency (%)
P 1
25.0%
F 1
25.0%
J 1
25.0%
H 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
86.4%
ASCII 27
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 12
 
7.0%
약 11
 
6.4%
품 11
 
6.4%
사 9
 
5.2%
팜 8
 
4.7%
스 7
 
4.1%
식 6
 
3.5%
회 6
 
3.5%
산 5
 
2.9%
축 5
 
2.9%
Other values (52) 92
53.5%
ASCII
ValueCountFrequency (%)
8
29.6%
( 7
25.9%
) 7
25.9%
P 1
 
3.7%
& 1
 
3.7%
F 1
 
3.7%
J 1
 
3.7%
H 1
 
3.7%

최종수정시점
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
Minimum2013-02-26 11:34:54
Maximum2023-05-18 13:00:56
2024-04-21T18:59:11.251757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:59:11.462565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
U
13 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 13
50.0%
I 13
50.0%

Length

2024-04-21T18:59:11.686486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:11.847150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 13
50.0%
i 13
50.0%

데이터갱신일자
Date

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
Minimum2018-08-31 23:59:59
Maximum2023-05-20 02:40:00
2024-04-21T18:59:11.989448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:59:12.375033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size362.0 B

좌표정보(X)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343955.87
Minimum326593.52
Maximum354632.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T18:59:12.577227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326593.52
5-th percentile334348.76
Q1341452.33
median345013.05
Q3347122.25
95-th percentile354055.97
Maximum354632.29
Range28038.769
Interquartile range (IQR)5669.9136

Descriptive statistics

Standard deviation6521.6759
Coefficient of variation (CV)0.018960793
Kurtosis0.89989789
Mean343955.87
Median Absolute Deviation (MAD)2394.0109
Skewness-0.73627997
Sum8942852.5
Variance42532257
MonotonicityNot monotonic
2024-04-21T18:59:12.773618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
343742.997350893 2
 
7.7%
344204.5224695 1
 
3.8%
345993.750889291 1
 
3.8%
335127.395787458 1
 
3.8%
326593.516993851 1
 
3.8%
335559.179281654 1
 
3.8%
334973.528925598 1
 
3.8%
334140.503962851 1
 
3.8%
340688.778067217 1
 
3.8%
339857.20468683 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
326593.516993851 1
3.8%
334140.503962851 1
3.8%
334973.528925598 1
3.8%
335127.395787458 1
3.8%
335559.179281654 1
3.8%
339857.20468683 1
3.8%
340688.778067217 1
3.8%
343742.997350893 2
7.7%
344204.5224695 1
3.8%
344255.825755025 1
3.8%
ValueCountFrequency (%)
354632.285747208 1
3.8%
354098.328326911 1
3.8%
353928.883617217 1
3.8%
348749.74895132 1
3.8%
347885.411478323 1
3.8%
347575.200391813 1
3.8%
347238.928608016 1
3.8%
346772.20028008 1
3.8%
346531.250061518 1
3.8%
346185.18818904 1
3.8%

좌표정보(Y)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263369.46
Minimum256609.25
Maximum270277.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-04-21T18:59:12.973951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256609.25
5-th percentile257165.99
Q1260685.21
median264261.59
Q3265521.13
95-th percentile269397.49
Maximum270277.25
Range13668.004
Interquartile range (IQR)4835.9182

Descriptive statistics

Standard deviation3766.514
Coefficient of variation (CV)0.014301256
Kurtosis-0.50984613
Mean263369.46
Median Absolute Deviation (MAD)2291.9801
Skewness-0.22519748
Sum6847605.9
Variance14186627
MonotonicityNot monotonic
2024-04-21T18:59:13.180049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
261969.606805434 2
 
7.7%
265028.313376104 1
 
3.8%
268599.526532945 1
 
3.8%
256609.247265285 1
 
3.8%
265281.571087767 1
 
3.8%
257163.326287088 1
 
3.8%
257173.967141564 1
 
3.8%
257540.250920146 1
 
3.8%
259706.287980197 1
 
3.8%
260292.711365105 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
256609.247265285 1
3.8%
257163.326287088 1
3.8%
257173.967141564 1
3.8%
257540.250920146 1
3.8%
259706.287980197 1
3.8%
260292.711365105 1
3.8%
260540.406237248 1
3.8%
261119.620157541 1
3.8%
261969.606805434 2
7.7%
263761.316383424 1
3.8%
ValueCountFrequency (%)
270277.250975412 1
3.8%
269663.478892727 1
3.8%
268599.526532945 1
3.8%
266641.633671671 1
3.8%
266073.372423475 1
3.8%
265692.173541022 1
3.8%
265600.98024148 1
3.8%
265281.571087767 1
3.8%
265028.313376104 1
3.8%
265018.028886355 1
3.8%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
동물용의약품도매상
26 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의약품도매상 26
100.0%

Length

2024-04-21T18:59:13.398423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:13.555938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의약품도매상 26
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size362.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
000
16 
L00
10 

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 16
61.5%
L00 10
38.5%

Length

2024-04-21T18:59:13.718539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:13.879191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 16
61.5%
l00 10
38.5%

총직원수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
<NA>
17 
0
9 

Length

Max length4
Median length4
Mean length2.9615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
65.4%
0 9
34.6%

Length

2024-04-21T18:59:14.068835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:14.248880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
65.4%
0 9
34.6%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물용의약품도매상02_03_04_P34100003410000012202300012023-05-16<NA>1영업/정상0정상<NA><NA><NA><NA>053-423-7535101.74<NA>대구광역시 중구 태평로1가 1-187 태평라이프아파트 209호대구광역시 중구 태평로 177, 2층 209호 (태평로1가, 태평라이프아파트)41903주식회사 코미 대구사무소2023-05-18 13:00:56U2023-05-20 02:40:00<NA>344204.52247265028.313376동물용의약품도매상<NA>L000
12동물용의약품도매상02_03_04_P34100003410000012201400012014-06-25<NA>3폐업2폐업2016-12-08<NA><NA>2016-12-08053-423-9999130.8<NA>대구광역시 중구 동인동3가 271-11 2층대구광역시 중구 태평로 285, 2층 (동인동3가)41904미래플러스팜2016-12-08 16:45:41I2018-08-31 23:59:59<NA>345186.291889264869.767109동물용의약품도매상<NA>000<NA>
23동물용의약품도매상02_03_04_P34100003410000012201300011978-06-17<NA>3폐업2폐업2013-07-23<NA><NA><NA>424-994493.7<NA>대구광역시 중구 대봉동 715-15대구광역시 중구 달구벌대로 2164 (대봉동)41950주식회사 대구축산2013-07-24 08:43:44I2018-08-31 23:59:59<NA>344432.563324263763.687867동물용의약품도매상<NA>000<NA>
34동물용의약품도매상02_03_04_P34100003410000012201300021990-06-02<NA>3폐업2폐업2019-01-28<NA><NA>2019-01-28425-01020.0<NA>대구광역시 중구 삼덕동2가 297대구광역시 중구 달구벌대로 2201-6 (삼덕동2가)41948주식회사 대구애니멀2019-01-28 15:46:52U2019-01-30 02:40:00<NA>344839.815361263761.316383동물용의약품도매상<NA>L00<NA>
45동물용의약품도매상02_03_04_P34200003420000012201900012019-12-12<NA>3폐업2폐업2020-02-18<NA><NA>2020-02-181588-1359131.14<NA>대구광역시 동구 상매동 505-10대구광역시 동구 이노밸리로 3, 중앙빌딩 403호 (상매동)41059제이에스팜2020-02-18 15:45:38U2020-02-20 02:40:00<NA>353928.883617266641.633672동물용의약품도매상<NA>000<NA>
56동물용의약품도매상02_03_04_P34200003420000012201300032013-12-06<NA>3폐업2폐업2014-06-24<NA><NA><NA>053-744-8831<NA><NA><NA>대구광역시 동구 송라로 52 (신천동)41259우림약품2014-06-24 11:27:26I2018-08-31 23:59:59<NA>346185.188189264726.565601동물용의약품도매상<NA>000<NA>
67동물용의약품도매상02_03_04_P34200003420000012202200022022-10-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 529 5,6층대구광역시 동구 동부로 35, 5,6층 (신천동)41263주식회사 신텍스헬스케어2022-10-28 09:28:15I2022-10-30 00:22:24<NA>345916.213447265018.028886동물용의약품도매상<NA>0000
78동물용의약품도매상02_03_04_P34200003420000012202200012022-02-09<NA>1영업/정상0정상<NA><NA><NA><NA>053-980-88880.0<NA>대구광역시 동구 불로동 1257대구광역시 동구 팔공로37길 42(불로동)41029(주)영남지오영 대구지점2022-02-09 13:36:37I2022-02-11 00:22:38<NA>347885.411478269663.478893동물용의약품도매상<NA>L000
89동물용의약품도매상02_03_04_P34200003420000012201400012014-06-25<NA>1영업/정상0정상<NA><NA><NA><NA>080-057-5000203.1<NA>대구광역시 동구 신암동 332-8대구광역시 동구 신암남로 161, 5층 (신암동)41218(주)디씨팜2022-05-06 15:17:55U2022-05-08 02:40:00<NA>347238.928608266073.372423동물용의약품도매상<NA>L000
910동물용의약품도매상02_03_04_P34200003420000012201300042004-09-03<NA>1영업/정상0정상<NA><NA><NA><NA><NA>67.0<NA>대구광역시 동구 신천동 137-4대구광역시 동구 동대구로 425 (신천동)<NA>대경동물약품2017-10-10 18:39:28I2018-08-31 23:59:59<NA>346772.20028264355.534342동물용의약품도매상<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
1617동물용의약품도매상02_03_04_P34600003460000012201500012003-04-01<NA>1영업/정상0정상<NA><NA><NA><NA>79313500.0<NA><NA>대구광역시 수성구 달구벌대로 3258 (신매동)42277유진F&P2015-10-13 11:02:45I2018-08-31 23:59:59<NA>354632.285747261119.620158동물용의약품도매상<NA>000<NA>
1718동물용의약품도매상02_03_04_P34600003460000012201600012016-01-22<NA>1영업/정상0정상<NA><NA><NA><NA>7452326<NA><NA>대구광역시 수성구 만촌동 991-4대구광역시 수성구 충의로6길 42 (만촌동)42052디에스팜2016-01-22 10:04:20I2018-08-31 23:59:59<NA>348749.748951264167.639535동물용의약품도매상<NA>000<NA>
1819동물용의약품도매상02_03_04_P34600003460000012201800012018-06-22<NA>1영업/정상0정상<NA><NA><NA><NA>053-292-9423~40.0<NA>대구광역시 수성구 두산동 123-11대구광역시 수성구 동대구로7길 14-7 (두산동)42175(주)한국플러스팜2019-11-12 17:32:57U2019-11-14 02:40:00<NA>346531.250062260540.406237동물용의약품도매상<NA>L00<NA>
1920동물용의약품도매상02_03_04_P34700003470000012202100012021-06-29<NA>1영업/정상0정상<NA><NA><NA><NA><NA>137.73<NA>대구광역시 달서구 송현동 483-1대구광역시 달서구 학산로42길 22, 1층 (송현동)42739주식회사 리본펫2023-02-27 09:39:57U2023-03-01 02:40:00<NA>339857.204687260292.711365동물용의약품도매상<NA>L000
2021동물용의약품도매상02_03_04_P34700003470000012201300012010-07-06<NA>1영업/정상0정상<NA><NA><NA><NA>053-626-600182.72<NA>대구광역시 달서구 송현동 1989-5대구광역시 달서구 중흥로16길 38, 1층 (송현동)42819도은약품2019-11-12 17:36:59U2019-11-14 02:40:00<NA>340688.778067259706.28798동물용의약품도매상<NA>000<NA>
2122동물용의약품도매상02_03_04_P34800003480000012201800012018-04-10<NA>1영업/정상0정상<NA><NA><NA><NA>053-635-6699<NA><NA>대구광역시 달성군 화원읍 성산리 105대구광역시 달성군 화원읍 사문진로 319-642941신우동물약품2022-04-06 09:18:00U2022-04-08 02:40:00<NA>334140.503963257540.25092동물용의약품도매상<NA>0000
2223동물용의약품도매상02_03_04_P34800003480000012200300012003-08-05<NA>1영업/정상0정상<NA><NA><NA><NA>634-677757.0<NA>대구광역시 달성군 화원읍 천내리 101-3대구광역시 달성군 화원읍 사문진로 41142948계명축산약품상사2018-05-08 16:28:33I2018-08-31 23:59:59<NA>334973.528926257173.967142동물용의약품도매상<NA>000<NA>
2324동물용의약품도매상02_03_04_P34800003480000012202000012020-03-31<NA>1영업/정상0정상<NA><NA><NA><NA>070-4351-0000330.1<NA>대구광역시 달성군 화원읍 천내리 38-1대구광역시 달성군 화원읍 화원로1길 1, 2층42955홍익메디케어 주식회사2020-04-02 10:28:53U2020-04-04 02:40:00<NA>335559.179282257163.326287동물용의약품도매상<NA>L00<NA>
2425동물용의약품도매상02_03_04_P34800003480000012199700011997-05-27<NA>3폐업2폐업2015-04-17<NA><NA><NA><NA>42.0<NA>대구광역시 달성군 하빈면 하산리 920-9대구광역시 달성군 하빈면 하산길 2<NA>하동동물약품상사2015-04-17 13:08:40I2018-08-31 23:59:59<NA>326593.516994265281.571088동물용의약품도매상<NA>000<NA>
2526동물용의약품도매상02_03_04_P34800003480000012201600012016-06-08<NA>3폐업2폐업2019-06-03<NA><NA>2019-06-03<NA><NA><NA>대구광역시 달성군 화원읍 명곡리 197-9대구광역시 달성군 화원읍 비슬로508길 1942956우리축산약품2019-06-03 08:45:13U2019-06-05 02:40:00<NA>335127.395787256609.247265동물용의약품도매상<NA>000<NA>