Overview

Dataset statistics

Number of variables32
Number of observations374
Missing cells2737
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.1 KiB
Average record size in memory271.4 B

Variable types

Numeric5
Categorical12
DateTime4
Unsupported6
Text5

Dataset

Description23년05월_6270000_대구광역시_02_03_07_P_동물판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098099&dataSetDetailId=DDI_0000098145&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
상세업무구분명 has constant value ""Constant
총직원수 has constant value ""Constant
권리주체일련번호 is highly imbalanced (77.0%)Imbalance
인허가취소일자 has 374 (100.0%) missing valuesMissing
폐업일자 has 149 (39.8%) missing valuesMissing
휴업시작일자 has 374 (100.0%) missing valuesMissing
휴업종료일자 has 374 (100.0%) missing valuesMissing
재개업일자 has 374 (100.0%) missing valuesMissing
소재지전화 has 188 (50.3%) missing valuesMissing
소재지우편번호 has 374 (100.0%) missing valuesMissing
소재지전체주소 has 28 (7.5%) missing valuesMissing
도로명전체주소 has 13 (3.5%) missing valuesMissing
도로명우편번호 has 95 (25.4%) missing valuesMissing
업태구분명 has 374 (100.0%) missing valuesMissing
좌표정보(X) has 10 (2.7%) missing valuesMissing
좌표정보(Y) has 10 (2.7%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 19:31:55.990042
Analysis finished2024-04-17 19:31:56.510504
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct374
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.5
Minimum1
Maximum374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-18T04:31:56.566379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.65
Q194.25
median187.5
Q3280.75
95-th percentile355.35
Maximum374
Range373
Interquartile range (IQR)186.5

Descriptive statistics

Standard deviation108.10874
Coefficient of variation (CV)0.57657995
Kurtosis-1.2
Mean187.5
Median Absolute Deviation (MAD)93.5
Skewness0
Sum70125
Variance11687.5
MonotonicityStrictly increasing
2024-04-18T04:31:56.671400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
248 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
Other values (364) 364
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물판매업
374 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물판매업 374
100.0%

Length

2024-04-18T04:31:56.770915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:31:56.841945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 374
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
02_03_07_P
374 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_07_P
2nd row02_03_07_P
3rd row02_03_07_P
4th row02_03_07_P
5th row02_03_07_P

Common Values

ValueCountFrequency (%)
02_03_07_P 374
100.0%

Length

2024-04-18T04:31:56.919644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:31:56.992372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_07_p 374
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444331.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-18T04:31:57.054448image/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 deviation23408.191
Coefficient of variation (CV)0.0067961491
Kurtosis-1.3910325
Mean3444331.6
Median Absolute Deviation (MAD)20000
Skewness-0.15220275
Sum1.28818 × 109
Variance5.479434 × 108
MonotonicityIncreasing
2024-04-18T04:31:57.139365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3420000 63
16.8%
3460000 63
16.8%
3470000 63
16.8%
3410000 58
15.5%
3450000 54
14.4%
3480000 28
7.5%
3440000 26
7.0%
3430000 19
 
5.1%
ValueCountFrequency (%)
3410000 58
15.5%
3420000 63
16.8%
3430000 19
 
5.1%
3440000 26
7.0%
3450000 54
14.4%
3460000 63
16.8%
3470000 63
16.8%
3480000 28
7.5%
ValueCountFrequency (%)
3480000 28
7.5%
3470000 63
16.8%
3460000 63
16.8%
3450000 54
14.4%
3440000 26
7.0%
3430000 19
 
5.1%
3420000 63
16.8%
3410000 58
15.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct374
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4443316 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-18T04:31:57.240732image/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 deviation2.3408191 × 1015
Coefficient of variation (CV)0.006796149
Kurtosis-1.3910325
Mean3.4443316 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.15220275
Sum-3.0920683 × 1017
Variance5.479434 × 1030
MonotonicityNot monotonic
2024-04-18T04:31:57.356534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000004520230003 1
 
0.3%
346000004520220006 1
 
0.3%
346000004520120004 1
 
0.3%
346000004520120003 1
 
0.3%
346000004520120001 1
 
0.3%
346000004520110004 1
 
0.3%
346000004520110003 1
 
0.3%
346000004520110001 1
 
0.3%
346000004520100002 1
 
0.3%
346000004520100001 1
 
0.3%
Other values (364) 364
97.3%
ValueCountFrequency (%)
341000004520080001 1
0.3%
341000004520080002 1
0.3%
341000004520080003 1
0.3%
341000004520080004 1
0.3%
341000004520080005 1
0.3%
341000004520080006 1
0.3%
341000004520080007 1
0.3%
341000004520080008 1
0.3%
341000004520080009 1
0.3%
341000004520080010 1
0.3%
ValueCountFrequency (%)
348000004520230002 1
0.3%
348000004520230001 1
0.3%
348000004520220002 1
0.3%
348000004520220001 1
0.3%
348000004520210015 1
0.3%
348000004520210009 1
0.3%
348000004520210004 1
0.3%
348000004520200011 1
0.3%
348000004520190016 1
0.3%
348000004520190010 1
0.3%
Distinct338
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2008-02-19 00:00:00
Maximum2023-05-30 00:00:00
2024-04-18T04:31:57.467669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:31:57.570237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing374
Missing (%)100.0%
Memory size3.4 KiB
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3
231 
1
143 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 231
61.8%
1 143
38.2%

Length

2024-04-18T04:31:57.664296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:31:57.736698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 231
61.8%
1 143
38.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
231 
영업/정상
143 

Length

Max length5
Median length2
Mean length3.1470588
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 231
61.8%
영업/정상 143
38.2%

Length

2024-04-18T04:31:57.833872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:31:57.909588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 231
61.8%
영업/정상 143
38.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2
231 
0
143 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 231
61.8%
0 143
38.2%

Length

2024-04-18T04:31:57.986891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:31:58.059800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 231
61.8%
0 143
38.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
231 
정상
143 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 231
61.8%
정상 143
38.2%

Length

2024-04-18T04:31:58.139274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:31:58.215346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 231
61.8%
정상 143
38.2%

폐업일자
Date

MISSING 

Distinct200
Distinct (%)88.9%
Missing149
Missing (%)39.8%
Memory size3.1 KiB
Minimum2008-07-22 00:00:00
Maximum2023-05-19 00:00:00
2024-04-18T04:31:58.301775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:31:58.409159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing374
Missing (%)100.0%
Memory size3.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing374
Missing (%)100.0%
Memory size3.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing374
Missing (%)100.0%
Memory size3.4 KiB

소재지전화
Text

MISSING 

Distinct178
Distinct (%)95.7%
Missing188
Missing (%)50.3%
Memory size3.1 KiB
2024-04-18T04:31:58.638679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8602151
Min length7

Characters and Unicode

Total characters1834
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

Unique170 ?
Unique (%)91.4%

Sample

1st row428-0025
2nd row426-0709
3rd row254-0050
4th row427-1172
5th row426-9006
ValueCountFrequency (%)
428-0025 2
 
1.1%
422-8988 2
 
1.1%
428-7789 2
 
1.1%
070-7757-4445 2
 
1.1%
053-981-3309 2
 
1.1%
557-5552 2
 
1.1%
565-4858 2
 
1.1%
070-7661-7999 2
 
1.1%
053-767-0345 1
 
0.5%
0537517588 1
 
0.5%
Other values (168) 168
90.3%
2024-04-18T04:31:58.971078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 249
13.6%
5 238
13.0%
- 236
12.9%
3 199
10.9%
2 168
9.2%
7 167
9.1%
4 139
7.6%
6 122
6.7%
8 107
5.8%
1 105
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1598
87.1%
Dash Punctuation 236
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 249
15.6%
5 238
14.9%
3 199
12.5%
2 168
10.5%
7 167
10.5%
4 139
8.7%
6 122
7.6%
8 107
6.7%
1 105
6.6%
9 104
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 249
13.6%
5 238
13.0%
- 236
12.9%
3 199
10.9%
2 168
9.2%
7 167
9.1%
4 139
7.6%
6 122
6.7%
8 107
5.8%
1 105
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 249
13.6%
5 238
13.0%
- 236
12.9%
3 199
10.9%
2 168
9.2%
7 167
9.1%
4 139
7.6%
6 122
6.7%
8 107
5.8%
1 105
5.7%

소재지면적
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
291 
<NA>
83 

Length

Max length4
Median length1
Mean length1.6657754
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 291
77.8%
<NA> 83
 
22.2%

Length

2024-04-18T04:31:59.081599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:31:59.160759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 291
77.8%
na 83
 
22.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing374
Missing (%)100.0%
Memory size3.4 KiB

소재지전체주소
Text

MISSING 

Distinct222
Distinct (%)64.2%
Missing28
Missing (%)7.5%
Memory size3.1 KiB
2024-04-18T04:31:59.381472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length21.245665
Min length13

Characters and Unicode

Total characters7351
Distinct characters168
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)46.0%

Sample

1st row대구광역시 중구 대봉동 **-** 대봉서한포레스트
2nd row대구광역시 중구 공평동 **-*
3rd row대구광역시 중구 봉산동 **-*
4th row대구광역시 중구 봉산동 ***-**
5th row대구광역시 중구 봉산동 ***-*
ValueCountFrequency (%)
대구광역시 346
22.9%
344
22.8%
동구 63
 
4.2%
달서구 60
 
4.0%
중구 58
 
3.8%
수성구 49
 
3.2%
북구 45
 
3.0%
봉산동 30
 
2.0%
남구 26
 
1.7%
달성군 26
 
1.7%
Other values (138) 463
30.7%
2024-04-18T04:31:59.718058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1616
22.0%
1495
20.3%
675
9.2%
406
 
5.5%
371
 
5.0%
350
 
4.8%
349
 
4.7%
346
 
4.7%
- 291
 
4.0%
97
 
1.3%
Other values (158) 1355
18.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3942
53.6%
Other Punctuation 1618
22.0%
Space Separator 1495
 
20.3%
Dash Punctuation 291
 
4.0%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
675
17.1%
406
 
10.3%
371
 
9.4%
350
 
8.9%
349
 
8.9%
346
 
8.8%
97
 
2.5%
95
 
2.4%
86
 
2.2%
78
 
2.0%
Other values (150) 1089
27.6%
Other Punctuation
ValueCountFrequency (%)
* 1616
99.9%
, 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
1495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3942
53.6%
Common 3406
46.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
675
17.1%
406
 
10.3%
371
 
9.4%
350
 
8.9%
349
 
8.9%
346
 
8.8%
97
 
2.5%
95
 
2.4%
86
 
2.2%
78
 
2.0%
Other values (150) 1089
27.6%
Common
ValueCountFrequency (%)
* 1616
47.4%
1495
43.9%
- 291
 
8.5%
, 2
 
0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3942
53.6%
ASCII 3409
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1616
47.4%
1495
43.9%
- 291
 
8.5%
, 2
 
0.1%
A 2
 
0.1%
B 1
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
675
17.1%
406
 
10.3%
371
 
9.4%
350
 
8.9%
349
 
8.9%
346
 
8.8%
97
 
2.5%
95
 
2.4%
86
 
2.2%
78
 
2.0%
Other values (150) 1089
27.6%

도로명전체주소
Text

MISSING 

Distinct296
Distinct (%)82.0%
Missing13
Missing (%)3.5%
Memory size3.1 KiB
2024-04-18T04:31:59.951810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length26.695291
Min length19

Characters and Unicode

Total characters9637
Distinct characters222
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)72.0%

Sample

1st row대구광역시 중구 대봉로 ***, *층 ***호 (대봉동, 대봉서한포레스트)
2nd row대구광역시 중구 동성로*길 **, *층 ***호 (공평동)
3rd row대구광역시 중구 달구벌대로 ****(봉산동)
4th row대구광역시 중구 달구벌대로 ****-*(봉산동)
5th row대구광역시 중구 달구벌대로 **** (봉산동)
ValueCountFrequency (%)
대구광역시 361
18.2%
349
17.6%
75
 
3.8%
동구 63
 
3.2%
수성구 62
 
3.1%
달서구 57
 
2.9%
북구 54
 
2.7%
중구 53
 
2.7%
달구벌대로 46
 
2.3%
43
 
2.2%
Other values (309) 820
41.4%
2024-04-18T04:32:00.314331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1624
16.9%
* 1479
15.3%
763
 
7.9%
482
 
5.0%
471
 
4.9%
368
 
3.8%
365
 
3.8%
362
 
3.8%
360
 
3.7%
) 336
 
3.5%
Other values (212) 3027
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5639
58.5%
Space Separator 1624
 
16.9%
Other Punctuation 1622
 
16.8%
Close Punctuation 336
 
3.5%
Open Punctuation 336
 
3.5%
Dash Punctuation 73
 
0.8%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
763
 
13.5%
482
 
8.5%
471
 
8.4%
368
 
6.5%
365
 
6.5%
362
 
6.4%
360
 
6.4%
139
 
2.5%
130
 
2.3%
125
 
2.2%
Other values (202) 2074
36.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
57.1%
B 1
 
14.3%
L 1
 
14.3%
H 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1479
91.2%
, 143
 
8.8%
Space Separator
ValueCountFrequency (%)
1624
100.0%
Close Punctuation
ValueCountFrequency (%)
) 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5639
58.5%
Common 3991
41.4%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
763
 
13.5%
482
 
8.5%
471
 
8.4%
368
 
6.5%
365
 
6.5%
362
 
6.4%
360
 
6.4%
139
 
2.5%
130
 
2.3%
125
 
2.2%
Other values (202) 2074
36.8%
Common
ValueCountFrequency (%)
1624
40.7%
* 1479
37.1%
) 336
 
8.4%
( 336
 
8.4%
, 143
 
3.6%
- 73
 
1.8%
Latin
ValueCountFrequency (%)
A 4
57.1%
B 1
 
14.3%
L 1
 
14.3%
H 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5639
58.5%
ASCII 3998
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1624
40.6%
* 1479
37.0%
) 336
 
8.4%
( 336
 
8.4%
, 143
 
3.6%
- 73
 
1.8%
A 4
 
0.1%
B 1
 
< 0.1%
L 1
 
< 0.1%
H 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
763
 
13.5%
482
 
8.5%
471
 
8.4%
368
 
6.5%
365
 
6.5%
362
 
6.4%
360
 
6.4%
139
 
2.5%
130
 
2.3%
125
 
2.2%
Other values (202) 2074
36.8%

도로명우편번호
Text

MISSING 

Distinct206
Distinct (%)73.8%
Missing95
Missing (%)25.4%
Memory size3.1 KiB
2024-04-18T04:32:00.622810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0071685
Min length5

Characters and Unicode

Total characters1397
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

Unique167 ?
Unique (%)59.9%

Sample

1st row41954
2nd row41938
3rd row41943
4th row41959
5th row41943
ValueCountFrequency (%)
41943 11
 
3.9%
41416 6
 
2.2%
41959 6
 
2.2%
41942 5
 
1.8%
43017 5
 
1.8%
42760 4
 
1.4%
42428 4
 
1.4%
42175 4
 
1.4%
41083 4
 
1.4%
41465 3
 
1.1%
Other values (196) 227
81.4%
2024-04-18T04:32:01.044962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 374
26.8%
1 226
16.2%
2 211
15.1%
9 101
 
7.2%
6 93
 
6.7%
7 84
 
6.0%
0 83
 
5.9%
8 81
 
5.8%
5 78
 
5.6%
3 65
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1396
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 374
26.8%
1 226
16.2%
2 211
15.1%
9 101
 
7.2%
6 93
 
6.7%
7 84
 
6.0%
0 83
 
5.9%
8 81
 
5.8%
5 78
 
5.6%
3 65
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 374
26.8%
1 226
16.2%
2 211
15.1%
9 101
 
7.2%
6 93
 
6.7%
7 84
 
6.0%
0 83
 
5.9%
8 81
 
5.8%
5 78
 
5.6%
3 65
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 374
26.8%
1 226
16.2%
2 211
15.1%
9 101
 
7.2%
6 93
 
6.7%
7 84
 
6.0%
0 83
 
5.9%
8 81
 
5.8%
5 78
 
5.6%
3 65
 
4.7%
Distinct348
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-18T04:32:01.301265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length6.4438503
Min length1

Characters and Unicode

Total characters2410
Distinct characters395
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)86.6%

Sample

1st row라이언멍
2nd row나비캣 고양이분양 대구점
3rd row대구 고양이분양 캣갤러리
4th row대구고양이분양 원펫
5th row캣갤러리
ValueCountFrequency (%)
대구점 10
 
1.9%
강아지 6
 
1.1%
dog 6
 
1.1%
강아지분양 6
 
1.1%
애견 6
 
1.1%
고양이 5
 
0.9%
대구강아지분양 5
 
0.9%
4
 
0.8%
도그 4
 
0.8%
4
 
0.8%
Other values (410) 472
89.4%
2024-04-18T04:32:01.669467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
6.4%
76
 
3.2%
71
 
2.9%
67
 
2.8%
62
 
2.6%
52
 
2.2%
48
 
2.0%
45
 
1.9%
43
 
1.8%
41
 
1.7%
Other values (385) 1751
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1996
82.8%
Space Separator 154
 
6.4%
Lowercase Letter 92
 
3.8%
Uppercase Letter 88
 
3.7%
Open Punctuation 30
 
1.2%
Close Punctuation 30
 
1.2%
Other Punctuation 13
 
0.5%
Decimal Number 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
76
 
3.8%
71
 
3.6%
67
 
3.4%
62
 
3.1%
52
 
2.6%
48
 
2.4%
45
 
2.3%
43
 
2.2%
41
 
2.1%
41
 
2.1%
Other values (330) 1450
72.6%
Uppercase Letter
ValueCountFrequency (%)
D 12
13.6%
A 8
 
9.1%
P 8
 
9.1%
L 7
 
8.0%
R 6
 
6.8%
O 6
 
6.8%
B 5
 
5.7%
G 4
 
4.5%
E 4
 
4.5%
S 4
 
4.5%
Other values (11) 24
27.3%
Lowercase Letter
ValueCountFrequency (%)
o 18
19.6%
g 9
9.8%
e 9
9.8%
s 7
 
7.6%
l 7
 
7.6%
y 6
 
6.5%
p 4
 
4.3%
r 4
 
4.3%
u 4
 
4.3%
w 4
 
4.3%
Other values (10) 20
21.7%
Other Punctuation
ValueCountFrequency (%)
' 5
38.5%
& 2
 
15.4%
# 2
 
15.4%
1
 
7.7%
, 1
 
7.7%
! 1
 
7.7%
· 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
9 1
 
14.3%
4 1
 
14.3%
Space Separator
ValueCountFrequency (%)
154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1995
82.8%
Common 234
 
9.7%
Latin 180
 
7.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
76
 
3.8%
71
 
3.6%
67
 
3.4%
62
 
3.1%
52
 
2.6%
48
 
2.4%
45
 
2.3%
43
 
2.2%
41
 
2.1%
41
 
2.1%
Other values (329) 1449
72.6%
Latin
ValueCountFrequency (%)
o 18
 
10.0%
D 12
 
6.7%
g 9
 
5.0%
e 9
 
5.0%
A 8
 
4.4%
P 8
 
4.4%
L 7
 
3.9%
s 7
 
3.9%
l 7
 
3.9%
y 6
 
3.3%
Other values (31) 89
49.4%
Common
ValueCountFrequency (%)
154
65.8%
( 30
 
12.8%
) 30
 
12.8%
' 5
 
2.1%
2 3
 
1.3%
1 2
 
0.9%
& 2
 
0.9%
# 2
 
0.9%
1
 
0.4%
9 1
 
0.4%
Other values (4) 4
 
1.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1994
82.7%
ASCII 412
 
17.1%
None 2
 
0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
37.4%
( 30
 
7.3%
) 30
 
7.3%
o 18
 
4.4%
D 12
 
2.9%
g 9
 
2.2%
e 9
 
2.2%
A 8
 
1.9%
P 8
 
1.9%
L 7
 
1.7%
Other values (43) 127
30.8%
Hangul
ValueCountFrequency (%)
76
 
3.8%
71
 
3.6%
67
 
3.4%
62
 
3.1%
52
 
2.6%
48
 
2.4%
45
 
2.3%
43
 
2.2%
41
 
2.1%
41
 
2.1%
Other values (328) 1448
72.6%
None
ValueCountFrequency (%)
1
50.0%
· 1
50.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct94
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2022-04-28 18:10:10
Maximum2023-05-30 16:10:45
2024-04-18T04:32:02.005522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:32:02.110148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
323 
U
51 

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 323
86.4%
U 51
 
13.6%

Length

2024-04-18T04:32:02.208278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:32:02.296364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 323
86.4%
u 51
 
13.6%
Distinct58
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2022-07-02 17:34:28
Maximum2023-06-01 02:40:00
2024-04-18T04:32:02.376877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:32:02.475489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing374
Missing (%)100.0%
Memory size3.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct304
Distinct (%)83.5%
Missing10
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean343663.74
Minimum327495.83
Maximum357940.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-18T04:32:02.583729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327495.83
5-th percentile332690.53
Q1340006.84
median344062.51
Q3346369.66
95-th percentile354590.42
Maximum357940.07
Range30444.236
Interquartile range (IQR)6362.8202

Descriptive statistics

Standard deviation5884.2532
Coefficient of variation (CV)0.017122124
Kurtosis0.14097601
Mean343663.74
Median Absolute Deviation (MAD)3517.6959
Skewness0.16939945
Sum1.250936 × 108
Variance34624436
MonotonicityNot monotonic
2024-04-18T04:32:02.698327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344187.921988786 7
 
1.9%
344127.944528978 6
 
1.6%
340320.722709596 4
 
1.1%
354265.895970615 4
 
1.1%
343857.971335199 4
 
1.1%
352868.53664899 3
 
0.8%
333831.660013215 3
 
0.8%
337916.079938251 3
 
0.8%
344169.394698097 3
 
0.8%
343988.321723566 3
 
0.8%
Other values (294) 324
86.6%
(Missing) 10
 
2.7%
ValueCountFrequency (%)
327495.832205514 1
0.3%
330062.157587372 1
0.3%
330379.598981756 1
0.3%
330452.45555799 1
0.3%
330573.646469099 1
0.3%
331368.022404052 2
0.5%
331379.261727026 1
0.3%
331379.966950723 1
0.3%
331411.673690079 1
0.3%
331685.390022772 1
0.3%
ValueCountFrequency (%)
357940.068109182 2
0.5%
357888.724162031 1
0.3%
356519.717420602 1
0.3%
356352.62487008 1
0.3%
356335.999166053 1
0.3%
355939.362329351 1
0.3%
355865.611497639 1
0.3%
355855.955513013 2
0.5%
355842.990353085 1
0.3%
355805.420516614 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct304
Distinct (%)83.5%
Missing10
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263155.66
Minimum241496.91
Maximum276801.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-18T04:32:02.820752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241496.91
5-th percentile256992.97
Q1261321.45
median263661.2
Q3264992.48
95-th percentile271927.19
Maximum276801.3
Range35304.387
Interquartile range (IQR)3671.0295

Descriptive statistics

Standard deviation4971.3157
Coefficient of variation (CV)0.01889116
Kurtosis4.5366802
Mean263155.66
Median Absolute Deviation (MAD)1907.572
Skewness-1.142063
Sum95788661
Variance24713980
MonotonicityNot monotonic
2024-04-18T04:32:02.928990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263949.092335901 7
 
1.9%
263895.481557561 6
 
1.6%
272735.675659876 4
 
1.1%
264832.717331975 4
 
1.1%
263808.580605164 4
 
1.1%
264480.565484064 3
 
0.8%
262285.703967929 3
 
0.8%
262111.061697986 3
 
0.8%
263888.1826388 3
 
0.8%
263981.519414046 3
 
0.8%
Other values (294) 324
86.6%
(Missing) 10
 
2.7%
ValueCountFrequency (%)
241496.909414348 1
0.3%
244266.488938767 1
0.3%
244422.164072638 2
0.5%
244467.090015024 1
0.3%
244532.532589328 1
0.3%
244628.625870756 1
0.3%
244661.838228877 1
0.3%
244677.227556169 1
0.3%
248763.762297445 1
0.3%
248808.4123526 1
0.3%
ValueCountFrequency (%)
276801.296256865 1
 
0.3%
274260.233601271 1
 
0.3%
273521.170988077 2
0.5%
273245.416941331 1
 
0.3%
273213.835123387 1
 
0.3%
273190.51345537 2
0.5%
273108.034714518 1
 
0.3%
272735.675659876 4
1.1%
272659.975074019 1
 
0.3%
272642.152869602 1
 
0.3%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물판매업
374 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물판매업 374
100.0%

Length

2024-04-18T04:32:03.032091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:32:03.105466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업 374
100.0%

상세업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물판매업(일반)
374 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동물판매업(일반)
2nd row동물판매업(일반)
3rd row동물판매업(일반)
4th row동물판매업(일반)
5th row동물판매업(일반)

Common Values

ValueCountFrequency (%)
동물판매업(일반) 374
100.0%

Length

2024-04-18T04:32:03.179001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:32:03.250644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물판매업(일반 374
100.0%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
000
360 
L00
 
14

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 360
96.3%
L00 14
 
3.7%

Length

2024-04-18T04:32:03.325417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:32:03.398288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 360
96.3%
l00 14
 
3.7%

총직원수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
374 

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 (%)
0 374
100.0%

Length

2024-04-18T04:32:03.476329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:32:03.547621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 374
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물판매업02_03_07_P34100003410000045202300032023-05-08<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 대봉동 **-** 대봉서한포레스트대구광역시 중구 대봉로 ***, *층 ***호 (대봉동, 대봉서한포레스트)41954라이언멍2023-05-08 17:34:11I2023-05-10 00:19:55<NA>344548.066275263409.635353동물판매업동물판매업(일반)0000
12동물판매업02_03_07_P34100003410000045202100062021-10-19<NA>3폐업2폐업2022-01-25<NA><NA><NA><NA>0<NA>대구광역시 중구 공평동 **-*대구광역시 중구 동성로*길 **, *층 ***호 (공평동)41938나비캣 고양이분양 대구점2022-04-28 18:10:21I2022-07-02 17:34:28<NA>344267.942714264418.874842동물판매업동물판매업(일반)0000
23동물판매업02_03_07_P34100003410000045202300012023-02-21<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 **-*대구광역시 중구 달구벌대로 ****(봉산동)41943대구 고양이분양 캣갤러리2023-02-21 11:20:00I2023-02-23 00:41:02<NA>344070.449013263969.770603동물판매업동물판매업(일반)0000
34동물판매업02_03_07_P34100003410000045200800012008-02-25<NA>1영업/정상0정상<NA><NA><NA><NA>428-00250<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-*(봉산동)41959대구고양이분양 원펫2022-04-28 18:10:16I2022-07-02 17:34:28<NA>344127.944529263895.481558동물판매업동물판매업(일반)0000
45동물판매업02_03_07_P34100003410000045200800022008-02-25<NA>1영업/정상0정상<NA><NA><NA><NA>426-0709<NA><NA>대구광역시 중구 봉산동 ***-*대구광역시 중구 달구벌대로 **** (봉산동)<NA>캣갤러리2022-04-28 18:10:16I2022-07-02 17:34:28<NA>344187.921989263949.092336동물판매업동물판매업(일반)0000
56동물판매업02_03_07_P34100003410000045200800062008-02-25<NA>1영업/정상0정상<NA><NA><NA><NA>254-0050<NA><NA>대구광역시 중구 봉산동 ***-** *층대구광역시 중구 달구벌대로 ****, *층 (봉산동)<NA>애견명가2022-04-28 18:10:17I2022-07-02 17:34:28<NA>344202.283676263941.92385동물판매업동물판매업(일반)0000
67동물판매업02_03_07_P34100003410000045200800132008-08-20<NA>1영업/정상0정상<NA><NA><NA><NA>427-1172<NA><NA>대구광역시 중구 남산동 ***-*대구광역시 중구 중앙대로 *** (남산동)<NA>애견백화점2022-04-28 18:10:17I2022-07-02 17:34:28<NA>343857.891243263739.205303동물판매업동물판매업(일반)0000
78동물판매업02_03_07_P34100003410000045201000032010-10-29<NA>1영업/정상0정상<NA><NA><NA><NA>426-9006<NA><NA>대구광역시 중구 봉산동 **-*대구광역시 중구 달구벌대로 **** (봉산동)<NA>강아지 대통령2022-04-28 18:10:17I2022-07-02 17:34:28<NA>344059.091686263979.327197동물판매업동물판매업(일반)0000
89동물판매업02_03_07_P34100003410000045201000052010-11-09<NA>1영업/정상0정상<NA><NA><NA><NA>425-30400<NA>대구광역시 중구 봉산동 ***-*대구광역시 중구 달구벌대로 **** (봉산동)<NA>냥냥 고양이 대구본점2022-04-28 18:10:17I2022-07-02 17:34:28<NA>344146.456718263891.72066동물판매업동물판매업(일반)0000
910동물판매업02_03_07_P34100003410000045201400042014-11-17<NA>1영업/정상0정상<NA><NA><NA><NA>422-89880<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 **** (봉산동)41943삼덕애견2022-04-28 18:10:18I2022-07-02 17:34:28<NA>344152.30215263951.596614동물판매업동물판매업(일반)0000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
364365동물판매업02_03_07_P34800003480000045201700032017-07-31<NA>3폐업2폐업2021-03-18<NA><NA><NA><NA>0<NA>대구광역시 달성군 화원읍 구라리 **** 삼우청솔타운 상가동 ***호대구광역시 달성군 화원읍 비슬로***길 **, 상가동 ***호 (삼우청솔타운)42952예뻐지냥2022-04-28 18:10:16I2022-07-02 17:34:28<NA>336227.838477257706.078199동물판매업동물판매업(일반)0000
365366동물판매업02_03_07_P34800003480000045201700042017-10-12<NA>3폐업2폐업2020-01-15<NA><NA><NA>053-631-38560<NA>대구광역시 달성군 논공읍 북리 ***-**대구광역시 달성군 논공읍 논공로*길 **42979댕댕이하우스2022-04-28 18:10:16I2022-07-02 17:34:28<NA>330379.598982248808.412353동물판매업동물판매업(일반)0000
366367동물판매업02_03_07_P34800003480000045201700052017-12-05<NA>3폐업2폐업2019-01-28<NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 서재리 ***-*대구광역시 달성군 다사읍 서재로**길 **, *층42928냥이내꼬2022-04-28 18:10:16I2022-07-02 17:34:28<NA>334927.289729264121.32546동물판매업동물판매업(일반)0000
367368동물판매업02_03_07_P34800003480000045201800032018-04-10<NA>3폐업2폐업2023-03-23<NA><NA><NA>053-611-39740<NA>대구광역시 달성군 현풍읍 중리 ***-*대구광역시 달성군 현풍읍 테크노상업로 **43017개이뻐2023-03-23 11:15:32U2023-03-25 02:40:00<NA>331379.966951244467.090015동물판매업동물판매업(일반)0000
368369동물판매업02_03_07_P34800003480000045201800352018-08-06<NA>3폐업2폐업2019-10-02<NA><NA><NA>053-981-33090<NA>대구광역시 달성군 옥포읍 본리리 ****대구광역시 달성군 옥포읍 비슬로***길 **429712022-06-28 18:03:57U2022-07-02 17:34:28<NA>332489.149569255784.443751동물판매업동물판매업(일반)0000
369370동물판매업02_03_07_P34800003480000045201900012019-01-03<NA>3폐업2폐업2022-11-21<NA><NA><NA><NA>0<NA>대구광역시 달성군 현풍읍 중리 ***대구광역시 달성군 현풍읍 테크노대로 **, 메가타워 ***호43017이리와2022-11-21 14:18:14U2022-11-23 02:40:00<NA>331379.261727244266.488939동물판매업동물판매업(일반)0000
370371동물판매업02_03_07_P34800003480000045201900082019-06-03<NA>3폐업2폐업2023-04-12<NA><NA><NA>053-585-11950<NA>대구광역시 달성군 다사읍 매곡리 ****-* ***동물병원대구광역시 달성군 다사읍 달구벌대로 ***, ***동물병원42913119동물병원2023-04-13 13:02:47U2023-04-15 02:40:00<NA>332431.324532262897.94004동물판매업동물판매업(일반)0000
371372동물판매업02_03_07_P34800003480000045201900162019-11-01<NA>3폐업2폐업2022-02-23<NA><NA><NA>053-581-22340<NA>대구광역시 달성군 다사읍 매곡리 ****-**대구광역시 달성군 다사읍 달구벌대로 ***42914럭셔리독2023-01-18 17:41:07U2023-01-20 02:40:00<NA>332296.485893263030.522627동물판매업동물판매업(일반)0000
372373동물판매업02_03_07_P34800003480000045202000112020-08-02<NA>3폐업2폐업2022-09-02<NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 매곡리 ***-* 강창*차삼산타운 ***동 ***호대구광역시 달성군 다사읍 달구벌대로 ***, ***동 ***호 (강창*차삼산타운)42915똥강아지2022-09-02 15:55:51U2022-09-04 02:40:00<NA>331685.390023263366.296869동물판매업동물판매업(일반)0000
373374동물판매업02_03_07_P34800003480000045202200022022-10-25<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 달성군 다사읍 죽곡리 *-*대구광역시 달성군 다사읍 다사로 *42910메리펫2022-10-25 13:38:29I2022-10-27 00:22:24<NA>332021.019234263376.885825동물판매업동물판매업(일반)0000