Overview

Dataset statistics

Number of variables38
Number of observations478
Missing cells2819
Missing cells (%)15.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory154.6 KiB
Average record size in memory331.3 B

Variable types

Numeric15
Categorical13
Text5
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_09_30_11_P_소독업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000068283&dataSetDetailId=DDI_0000068317&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
휴업시작일자 is highly imbalanced (96.8%)Imbalance
휴업종료일자 is highly imbalanced (96.8%)Imbalance
초미립자살포기수 is highly imbalanced (81.5%)Imbalance
휴대용소독기수 is highly imbalanced (88.9%)Imbalance
동력분무기수 is highly imbalanced (56.4%)Imbalance
진공청소기수 is highly imbalanced (73.7%)Imbalance
인허가취소일자 has 478 (100.0%) missing valuesMissing
폐업일자 has 302 (63.2%) missing valuesMissing
재개업일자 has 478 (100.0%) missing valuesMissing
소재지전화 has 120 (25.1%) missing valuesMissing
소재지면적 has 478 (100.0%) missing valuesMissing
소재지우편번호 has 229 (47.9%) missing valuesMissing
소재지전체주소 has 28 (5.9%) missing valuesMissing
도로명우편번호 has 52 (10.9%) missing valuesMissing
업태구분명 has 478 (100.0%) missing valuesMissing
사무실면적 has 78 (16.3%) missing valuesMissing
소독차량차고면적 has 92 (19.2%) 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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 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 started2023-12-10 20:30:34.646869
Analysis finished2023-12-10 20:30:35.803667
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct478
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.5
Minimum1
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:35.919963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.85
Q1120.25
median239.5
Q3358.75
95-th percentile454.15
Maximum478
Range477
Interquartile range (IQR)238.5

Descriptive statistics

Standard deviation138.13098
Coefficient of variation (CV)0.57674729
Kurtosis-1.2
Mean239.5
Median Absolute Deviation (MAD)119.5
Skewness0
Sum114481
Variance19080.167
MonotonicityStrictly increasing
2023-12-11T05:30:36.173693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
316 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
Other values (468) 468
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
478 1
0.2%
477 1
0.2%
476 1
0.2%
475 1
0.2%
474 1
0.2%
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%
469 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
소독업
478 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소독업 478
100.0%

Length

2023-12-11T05:30:36.397567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:36.517876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소독업 478
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
09_30_11_P
478 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_11_P
2nd row09_30_11_P
3rd row09_30_11_P
4th row09_30_11_P
5th row09_30_11_P

Common Values

ValueCountFrequency (%)
09_30_11_P 478
100.0%

Length

2023-12-11T05:30:36.652835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:36.817519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_11_p 478
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445313.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:36.969128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation21412.536
Coefficient of variation (CV)0.0062149741
Kurtosis-1.3441457
Mean3445313.8
Median Absolute Deviation (MAD)20000
Skewness-0.20031706
Sum1.64686 × 109
Variance4.5849671 × 108
MonotonicityIncreasing
2023-12-11T05:30:37.156479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 104
21.8%
3420000 91
19.0%
3460000 80
16.7%
3450000 63
13.2%
3440000 46
9.6%
3410000 40
 
8.4%
3430000 39
 
8.2%
3480000 15
 
3.1%
ValueCountFrequency (%)
3410000 40
 
8.4%
3420000 91
19.0%
3430000 39
 
8.2%
3440000 46
9.6%
3450000 63
13.2%
3460000 80
16.7%
3470000 104
21.8%
3480000 15
 
3.1%
ValueCountFrequency (%)
3480000 15
 
3.1%
3470000 104
21.8%
3460000 80
16.7%
3450000 63
13.2%
3440000 46
9.6%
3430000 39
 
8.2%
3420000 91
19.0%
3410000 40
 
8.4%

관리번호
Text

UNIQUE 

Distinct478
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T05:30:37.511555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters11950
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique478 ?
Unique (%)100.0%

Sample

1st rowPHMB520173410023042500003
2nd rowPHMB520193410023042500004
3rd rowPHMB520053410023042500002
4th rowPHMB519993410023042500003
5th rowPHMB520093410023042500002
ValueCountFrequency (%)
phmb520173410023042500003 1
 
0.2%
phmb520183460023042500002 1
 
0.2%
phmb520103460023042500006 1
 
0.2%
phmb520113460023042500001 1
 
0.2%
phmb520123460023042500001 1
 
0.2%
phmb520123460023042500002 1
 
0.2%
phmb520123460023042500003 1
 
0.2%
phmb520173460023042500002 1
 
0.2%
phmb520183460023042500001 1
 
0.2%
phmb520173460023042500003 1
 
0.2%
Other values (468) 468
97.9%
2023-12-11T05:30:38.059045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3960
33.1%
2 1766
14.8%
4 1144
 
9.6%
5 1105
 
9.2%
3 835
 
7.0%
1 635
 
5.3%
P 478
 
4.0%
H 478
 
4.0%
M 478
 
4.0%
B 478
 
4.0%
Other values (4) 593
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10038
84.0%
Uppercase Letter 1912
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3960
39.5%
2 1766
17.6%
4 1144
 
11.4%
5 1105
 
11.0%
3 835
 
8.3%
1 635
 
6.3%
7 172
 
1.7%
6 171
 
1.7%
9 165
 
1.6%
8 85
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 478
25.0%
H 478
25.0%
M 478
25.0%
B 478
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10038
84.0%
Latin 1912
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3960
39.5%
2 1766
17.6%
4 1144
 
11.4%
5 1105
 
11.0%
3 835
 
8.3%
1 635
 
6.3%
7 172
 
1.7%
6 171
 
1.7%
9 165
 
1.6%
8 85
 
0.8%
Latin
ValueCountFrequency (%)
P 478
25.0%
H 478
25.0%
M 478
25.0%
B 478
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3960
33.1%
2 1766
14.8%
4 1144
 
9.6%
5 1105
 
9.2%
3 835
 
7.0%
1 635
 
5.3%
P 478
 
4.0%
H 478
 
4.0%
M 478
 
4.0%
B 478
 
4.0%
Other values (4) 593
 
5.0%

인허가일자
Real number (ℝ)

Distinct443
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20109052
Minimum19841217
Maximum20190923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:38.295803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841217
5-th percentile19991005
Q120080220
median20120512
Q320160320
95-th percentile20190322
Maximum20190923
Range349706
Interquartile range (IQR)80099.5

Descriptive statistics

Standard deviation63919.505
Coefficient of variation (CV)0.0031786434
Kurtosis2.2366413
Mean20109052
Median Absolute Deviation (MAD)40099
Skewness-1.2733796
Sum9.6121268 × 109
Variance4.0857032 × 109
MonotonicityNot monotonic
2023-12-11T05:30:38.511271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100118 3
 
0.6%
20090521 3
 
0.6%
20080218 2
 
0.4%
20100219 2
 
0.4%
20190517 2
 
0.4%
20111213 2
 
0.4%
20030710 2
 
0.4%
20170106 2
 
0.4%
20130116 2
 
0.4%
20101025 2
 
0.4%
Other values (433) 456
95.4%
ValueCountFrequency (%)
19841217 1
0.2%
19850104 1
0.2%
19850622 1
0.2%
19870302 1
0.2%
19880520 1
0.2%
19891106 1
0.2%
19900223 1
0.2%
19900314 1
0.2%
19920224 1
0.2%
19920723 1
0.2%
ValueCountFrequency (%)
20190923 1
0.2%
20190918 1
0.2%
20190911 2
0.4%
20190904 1
0.2%
20190729 1
0.2%
20190719 1
0.2%
20190619 1
0.2%
20190617 1
0.2%
20190614 1
0.2%
20190611 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing478
Missing (%)100.0%
Memory size4.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
1
299 
3
171 
4
 
5
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 299
62.6%
3 171
35.8%
4 5
 
1.0%
2 3
 
0.6%

Length

2023-12-11T05:30:38.698756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:38.844255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 299
62.6%
3 171
35.8%
4 5
 
1.0%
2 3
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
영업/정상
299 
폐업
171 
취소/말소/만료/정지/중지
 
5
휴업
 
3

Length

Max length14
Median length5
Mean length4.0020921
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 299
62.6%
폐업 171
35.8%
취소/말소/만료/정지/중지 5
 
1.0%
휴업 3
 
0.6%

Length

2023-12-11T05:30:39.027617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:39.169141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 299
62.6%
폐업 171
35.8%
취소/말소/만료/정지/중지 5
 
1.0%
휴업 3
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
13
299 
3
171 
24
 
5
2
 
3

Length

Max length2
Median length2
Mean length1.6359833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24
2nd row13
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 299
62.6%
3 171
35.8%
24 5
 
1.0%
2 3
 
0.6%

Length

2023-12-11T05:30:39.339425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:39.508752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 299
62.6%
3 171
35.8%
24 5
 
1.0%
2 3
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
영업중
299 
폐업
171 
직권폐업
 
5
휴업
 
3

Length

Max length4
Median length3
Mean length2.6464435
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직권폐업
2nd row영업중
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 299
62.6%
폐업 171
35.8%
직권폐업 5
 
1.0%
휴업 3
 
0.6%

Length

2023-12-11T05:30:39.679361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:39.841699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 299
62.6%
폐업 171
35.8%
직권폐업 5
 
1.0%
휴업 3
 
0.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)96.0%
Missing302
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean20143062
Minimum20081010
Maximum20190823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:40.059385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081010
5-th percentile20100184
Q120120616
median20141166
Q320170310
95-th percentile20190307
Maximum20190823
Range109813
Interquartile range (IQR)49693

Descriptive statistics

Standard deviation29903.195
Coefficient of variation (CV)0.0014845407
Kurtosis-1.121193
Mean20143062
Median Absolute Deviation (MAD)20907
Skewness-0.056300987
Sum3.5451788 × 109
Variance8.9420105 × 108
MonotonicityNot monotonic
2023-12-11T05:30:40.290482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121231 3
 
0.6%
20100525 2
 
0.4%
20130222 2
 
0.4%
20130809 2
 
0.4%
20140109 2
 
0.4%
20150526 2
 
0.4%
20160127 1
 
0.2%
20110722 1
 
0.2%
20151222 1
 
0.2%
20120712 1
 
0.2%
Other values (159) 159
33.3%
(Missing) 302
63.2%
ValueCountFrequency (%)
20081010 1
0.2%
20090212 1
0.2%
20090213 1
0.2%
20090324 1
0.2%
20090504 1
0.2%
20091221 1
0.2%
20091222 1
0.2%
20091229 1
0.2%
20100129 1
0.2%
20100203 1
0.2%
ValueCountFrequency (%)
20190823 1
0.2%
20190719 1
0.2%
20190612 1
0.2%
20190607 1
0.2%
20190514 1
0.2%
20190510 1
0.2%
20190507 1
0.2%
20190327 1
0.2%
20190314 1
0.2%
20190305 1
0.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
475 
20170311
 
1
20190401
 
1
20190705
 
1

Length

Max length8
Median length4
Mean length4.0251046
Min length4

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 475
99.4%
20170311 1
 
0.2%
20190401 1
 
0.2%
20190705 1
 
0.2%

Length

2023-12-11T05:30:40.542474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:40.736687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 475
99.4%
20170311 1
 
0.2%
20190401 1
 
0.2%
20190705 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
475 
20200310
 
1
20200331
 
1
20191231
 
1

Length

Max length8
Median length4
Mean length4.0251046
Min length4

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 475
99.4%
20200310 1
 
0.2%
20200331 1
 
0.2%
20191231 1
 
0.2%

Length

2023-12-11T05:30:40.906063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:41.065266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 475
99.4%
20200310 1
 
0.2%
20200331 1
 
0.2%
20191231 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing478
Missing (%)100.0%
Memory size4.3 KiB

소재지전화
Text

MISSING 

Distinct345
Distinct (%)96.4%
Missing120
Missing (%)25.1%
Memory size3.9 KiB
2023-12-11T05:30:41.446993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length10.374302
Min length7

Characters and Unicode

Total characters3714
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)92.7%

Sample

1st row053-719-0599
2nd row053792-5369
3rd row053-473-0005
4th row053-421-0421
5th row053-421-6866
ValueCountFrequency (%)
255-9942 2
 
0.6%
053-638-8004 2
 
0.6%
753-6306 2
 
0.6%
784-6080 2
 
0.6%
257-8119 2
 
0.6%
053-471-7751 2
 
0.6%
053-626-1230 2
 
0.6%
742-3344 2
 
0.6%
053-631-3225 2
 
0.6%
741-5110 2
 
0.6%
Other values (337) 340
94.4%
2023-12-11T05:30:42.120573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 551
14.8%
- 533
14.4%
0 426
11.5%
3 418
11.3%
2 309
8.3%
6 288
7.8%
7 274
7.4%
1 263
7.1%
4 239
6.4%
8 210
 
5.7%
Other values (7) 203
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3167
85.3%
Dash Punctuation 533
 
14.4%
Close Punctuation 6
 
0.2%
Other Punctuation 3
 
0.1%
Math Symbol 2
 
0.1%
Space Separator 2
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 551
17.4%
0 426
13.5%
3 418
13.2%
2 309
9.8%
6 288
9.1%
7 274
8.7%
1 263
8.3%
4 239
7.5%
8 210
 
6.6%
9 189
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 533
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 551
14.8%
- 533
14.4%
0 426
11.5%
3 418
11.3%
2 309
8.3%
6 288
7.8%
7 274
7.4%
1 263
7.1%
4 239
6.4%
8 210
 
5.7%
Other values (7) 203
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 551
14.8%
- 533
14.4%
0 426
11.5%
3 418
11.3%
2 309
8.3%
6 288
7.8%
7 274
7.4%
1 263
7.1%
4 239
6.4%
8 210
 
5.7%
Other values (7) 203
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing478
Missing (%)100.0%
Memory size4.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)72.7%
Missing229
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean698621.59
Minimum41946
Maximum711844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:42.350783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41946
5-th percentile700440.8
Q1701847
median703807
Q3705829
95-th percentile706838
Maximum711844
Range669898
Interquartile range (IQR)3982

Descriptive statistics

Standard deviation59222.344
Coefficient of variation (CV)0.084770276
Kurtosis121.57422
Mean698621.59
Median Absolute Deviation (MAD)1962
Skewness-11.063316
Sum1.7395678 × 108
Variance3.5072861 × 109
MonotonicityNot monotonic
2023-12-11T05:30:42.565614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706010 5
 
1.0%
702072 4
 
0.8%
701848 3
 
0.6%
703064 3
 
0.6%
701849 3
 
0.6%
701846 3
 
0.6%
701810 3
 
0.6%
701827 3
 
0.6%
706032 3
 
0.6%
706040 3
 
0.6%
Other values (171) 216
45.2%
(Missing) 229
47.9%
ValueCountFrequency (%)
41946 1
0.2%
42696 1
0.2%
700082 1
0.2%
700230 2
0.4%
700380 1
0.2%
700400 1
0.2%
700421 1
0.2%
700423 2
0.4%
700424 1
0.2%
700431 1
0.2%
ValueCountFrequency (%)
711844 1
0.2%
711838 1
0.2%
711834 1
0.2%
711833 1
0.2%
711812 1
0.2%
711702 2
0.4%
706913 1
0.2%
706852 2
0.4%
706844 1
0.2%
706839 1
0.2%

소재지전체주소
Text

MISSING 

Distinct433
Distinct (%)96.2%
Missing28
Missing (%)5.9%
Memory size3.9 KiB
2023-12-11T05:30:42.956019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length23.795556
Min length12

Characters and Unicode

Total characters10708
Distinct characters182
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

Unique416 ?
Unique (%)92.4%

Sample

1st row대구광역시 중구 대봉동 20번지 1호
2nd row대구광역시 중구 남산동 615번지 4호
3rd row대구광역시 중구 대봉동 60번지 10호
4th row대구광역시 중구 남산4동 2482번지 458호 까치아파트 상가104 지하1층
5th row대구광역시 중구 동인동3가 271번지 190호
ValueCountFrequency (%)
대구광역시 450
 
18.9%
달서구 103
 
4.3%
동구 84
 
3.5%
수성구 78
 
3.3%
북구 62
 
2.6%
1호 59
 
2.5%
서구 39
 
1.6%
남구 36
 
1.5%
2호 35
 
1.5%
중구 34
 
1.4%
Other values (666) 1401
58.8%
2023-12-11T05:30:43.756755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1940
18.1%
구 897
 
8.4%
동 551
 
5.1%
1 518
 
4.8%
대 486
 
4.5%
지 479
 
4.5%
시 457
 
4.3%
광 453
 
4.2%
역 451
 
4.2%
번 445
 
4.2%
Other values (172) 4031
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6476
60.5%
Decimal Number 2257
 
21.1%
Space Separator 1940
 
18.1%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 897
13.9%
동 551
 
8.5%
대 486
 
7.5%
지 479
 
7.4%
시 457
 
7.1%
광 453
 
7.0%
역 451
 
7.0%
번 445
 
6.9%
호 433
 
6.7%
서 150
 
2.3%
Other values (155) 1674
25.8%
Decimal Number
ValueCountFrequency (%)
1 518
23.0%
2 316
14.0%
4 234
10.4%
3 227
10.1%
0 191
 
8.5%
5 169
 
7.5%
6 168
 
7.4%
8 155
 
6.9%
7 150
 
6.6%
9 129
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1940
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6476
60.5%
Common 4231
39.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 897
13.9%
동 551
 
8.5%
대 486
 
7.5%
지 479
 
7.4%
시 457
 
7.1%
광 453
 
7.0%
역 451
 
7.0%
번 445
 
6.9%
호 433
 
6.7%
서 150
 
2.3%
Other values (155) 1674
25.8%
Common
ValueCountFrequency (%)
1940
45.9%
1 518
 
12.2%
2 316
 
7.5%
4 234
 
5.5%
3 227
 
5.4%
0 191
 
4.5%
5 169
 
4.0%
6 168
 
4.0%
8 155
 
3.7%
7 150
 
3.5%
Other values (6) 163
 
3.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6476
60.5%
ASCII 4232
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1940
45.8%
1 518
 
12.2%
2 316
 
7.5%
4 234
 
5.5%
3 227
 
5.4%
0 191
 
4.5%
5 169
 
4.0%
6 168
 
4.0%
8 155
 
3.7%
7 150
 
3.5%
Other values (7) 164
 
3.9%
Hangul
ValueCountFrequency (%)
구 897
13.9%
동 551
 
8.5%
대 486
 
7.5%
지 479
 
7.4%
시 457
 
7.1%
광 453
 
7.0%
역 451
 
7.0%
번 445
 
6.9%
호 433
 
6.7%
서 150
 
2.3%
Other values (155) 1674
25.8%

도로명전체주소
Text

Distinct460
Distinct (%)96.6%
Missing2
Missing (%)0.4%
Memory size3.9 KiB
2023-12-11T05:30:44.255528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length27.365546
Min length20

Characters and Unicode

Total characters13026
Distinct characters232
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

Unique444 ?
Unique (%)93.3%

Sample

1st row대구광역시 중구 중앙대로 269 (남산동)
2nd row대구광역시 중구 달구벌대로 2200, 3층 (대봉동)
3rd row대구광역시 중구 관덕정길 73 (남산동)
4th row대구광역시 중구 대봉로 260 (대봉동)
5th row대구광역시 중구 남산로7길 75 (남산동,까치아파트 상가104 지하1층)
ValueCountFrequency (%)
대구광역시 476
 
17.7%
달서구 104
 
3.9%
동구 90
 
3.3%
수성구 79
 
2.9%
북구 63
 
2.3%
1층 54
 
2.0%
2층 50
 
1.9%
남구 45
 
1.7%
중구 40
 
1.5%
서구 39
 
1.4%
Other values (803) 1654
61.4%
2023-12-11T05:30:44.949252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2246
 
17.2%
구 989
 
7.6%
동 646
 
5.0%
대 578
 
4.4%
시 485
 
3.7%
광 478
 
3.7%
역 477
 
3.7%
) 466
 
3.6%
( 466
 
3.6%
로 452
 
3.5%
Other values (222) 5743
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7495
57.5%
Space Separator 2246
 
17.2%
Decimal Number 2016
 
15.5%
Close Punctuation 466
 
3.6%
Open Punctuation 466
 
3.6%
Other Punctuation 244
 
1.9%
Dash Punctuation 91
 
0.7%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 989
 
13.2%
동 646
 
8.6%
대 578
 
7.7%
시 485
 
6.5%
광 478
 
6.4%
역 477
 
6.4%
로 452
 
6.0%
길 274
 
3.7%
층 182
 
2.4%
서 182
 
2.4%
Other values (205) 2752
36.7%
Decimal Number
ValueCountFrequency (%)
1 449
22.3%
2 340
16.9%
3 234
11.6%
4 204
10.1%
0 167
 
8.3%
5 158
 
7.8%
6 143
 
7.1%
7 121
 
6.0%
8 107
 
5.3%
9 93
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
2246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 466
100.0%
Other Punctuation
ValueCountFrequency (%)
, 244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7495
57.5%
Common 5529
42.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 989
 
13.2%
동 646
 
8.6%
대 578
 
7.7%
시 485
 
6.5%
광 478
 
6.4%
역 477
 
6.4%
로 452
 
6.0%
길 274
 
3.7%
층 182
 
2.4%
서 182
 
2.4%
Other values (205) 2752
36.7%
Common
ValueCountFrequency (%)
2246
40.6%
) 466
 
8.4%
( 466
 
8.4%
1 449
 
8.1%
2 340
 
6.1%
, 244
 
4.4%
3 234
 
4.2%
4 204
 
3.7%
0 167
 
3.0%
5 158
 
2.9%
Other values (5) 555
 
10.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7495
57.5%
ASCII 5531
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2246
40.6%
) 466
 
8.4%
( 466
 
8.4%
1 449
 
8.1%
2 340
 
6.1%
, 244
 
4.4%
3 234
 
4.2%
4 204
 
3.7%
0 167
 
3.0%
5 158
 
2.9%
Other values (7) 557
 
10.1%
Hangul
ValueCountFrequency (%)
구 989
 
13.2%
동 646
 
8.6%
대 578
 
7.7%
시 485
 
6.5%
광 478
 
6.4%
역 477
 
6.4%
로 452
 
6.0%
길 274
 
3.7%
층 182
 
2.4%
서 182
 
2.4%
Other values (205) 2752
36.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct318
Distinct (%)74.6%
Missing52
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean136857.06
Minimum41017
Maximum711702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:45.144020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41017
5-th percentile41120.25
Q141538.5
median42177
Q342733
95-th percentile704942.5
Maximum711702
Range670685
Interquartile range (IQR)1194.5

Descriptive statistics

Standard deviation232287.65
Coefficient of variation (CV)1.6973012
Kurtosis2.1907402
Mean136857.06
Median Absolute Deviation (MAD)599
Skewness2.0445799
Sum58301107
Variance5.3957553 × 1010
MonotonicityNot monotonic
2023-12-11T05:30:45.321304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41078 4
 
0.8%
42733 4
 
0.8%
42441 3
 
0.6%
42467 3
 
0.6%
42471 3
 
0.6%
42445 3
 
0.6%
41594 3
 
0.6%
42665 3
 
0.6%
41183 3
 
0.6%
41472 3
 
0.6%
Other values (308) 394
82.4%
(Missing) 52
 
10.9%
ValueCountFrequency (%)
41017 1
 
0.2%
41029 1
 
0.2%
41033 1
 
0.2%
41035 1
 
0.2%
41048 2
0.4%
41067 1
 
0.2%
41068 2
0.4%
41075 1
 
0.2%
41078 4
0.8%
41083 1
 
0.2%
ValueCountFrequency (%)
711702 2
0.4%
706853 1
0.2%
706852 2
0.4%
706838 2
0.4%
706833 1
0.2%
706824 1
0.2%
706818 1
0.2%
706813 2
0.4%
706810 1
0.2%
706808 2
0.4%

사업장명
Text

Distinct445
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T05:30:45.674328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length7.3682008
Min length2

Characters and Unicode

Total characters3522
Distinct characters343
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

Unique420 ?
Unique (%)87.9%

Sample

1st row설악경호
2nd row터미닉스코리아 대구지사
3rd row한울종합방제
4th row그린종합관리
5th row대구중구지역자활썬터(말끄미소독방역)
ValueCountFrequency (%)
주식회사 24
 
4.4%
한국방제공사 4
 
0.7%
세기위생방역 4
 
0.7%
청쿰방역공사 3
 
0.5%
종합관리 3
 
0.5%
대구지사 3
 
0.5%
주 3
 
0.5%
더홈케어 3
 
0.5%
그린방역 3
 
0.5%
한일종합방역공사 3
 
0.5%
Other values (468) 495
90.3%
2023-12-11T05:30:46.273476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 208
 
5.9%
) 185
 
5.3%
( 183
 
5.2%
스 100
 
2.8%
사 95
 
2.7%
역 81
 
2.3%
대 79
 
2.2%
리 78
 
2.2%
방 75
 
2.1%
경 71
 
2.0%
Other values (333) 2367
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2986
84.8%
Close Punctuation 185
 
5.3%
Open Punctuation 183
 
5.2%
Uppercase Letter 76
 
2.2%
Space Separator 70
 
2.0%
Lowercase Letter 10
 
0.3%
Other Punctuation 7
 
0.2%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 208
 
7.0%
스 100
 
3.3%
사 95
 
3.2%
역 81
 
2.7%
대 79
 
2.6%
리 78
 
2.6%
방 75
 
2.5%
경 71
 
2.4%
합 71
 
2.4%
종 65
 
2.2%
Other values (295) 2063
69.1%
Uppercase Letter
ValueCountFrequency (%)
S 15
19.7%
E 13
17.1%
C 7
9.2%
N 7
9.2%
O 5
 
6.6%
G 5
 
6.6%
Z 4
 
5.3%
K 4
 
5.3%
M 3
 
3.9%
R 2
 
2.6%
Other values (11) 11
14.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
c 2
20.0%
e 2
20.0%
b 1
10.0%
i 1
10.0%
r 1
10.0%
n 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
5 1
20.0%
3 1
20.0%
9 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 4
57.1%
, 2
28.6%
. 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2986
84.8%
Common 450
 
12.8%
Latin 86
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 208
 
7.0%
스 100
 
3.3%
사 95
 
3.2%
역 81
 
2.7%
대 79
 
2.6%
리 78
 
2.6%
방 75
 
2.5%
경 71
 
2.4%
합 71
 
2.4%
종 65
 
2.2%
Other values (295) 2063
69.1%
Latin
ValueCountFrequency (%)
S 15
17.4%
E 13
15.1%
C 7
 
8.1%
N 7
 
8.1%
O 5
 
5.8%
G 5
 
5.8%
Z 4
 
4.7%
K 4
 
4.7%
M 3
 
3.5%
R 2
 
2.3%
Other values (18) 21
24.4%
Common
ValueCountFrequency (%)
) 185
41.1%
( 183
40.7%
70
 
15.6%
& 4
 
0.9%
1 2
 
0.4%
, 2
 
0.4%
5 1
 
0.2%
3 1
 
0.2%
. 1
 
0.2%
9 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2986
84.8%
ASCII 536
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 208
 
7.0%
스 100
 
3.3%
사 95
 
3.2%
역 81
 
2.7%
대 79
 
2.6%
리 78
 
2.6%
방 75
 
2.5%
경 71
 
2.4%
합 71
 
2.4%
종 65
 
2.2%
Other values (295) 2063
69.1%
ASCII
ValueCountFrequency (%)
) 185
34.5%
( 183
34.1%
70
 
13.1%
S 15
 
2.8%
E 13
 
2.4%
C 7
 
1.3%
N 7
 
1.3%
O 5
 
0.9%
G 5
 
0.9%
Z 4
 
0.7%
Other values (28) 42
 
7.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct478
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0161936 × 1013
Minimum2.0081203 × 1013
Maximum2.0190924 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:46.918550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081203 × 1013
5-th percentile2.0111115 × 1013
Q12.0141147 × 1013
median2.0170419 × 1013
Q32.0190108 × 1013
95-th percentile2.0190713 × 1013
Maximum2.0190924 × 1013
Range1.0972096 × 1011
Interquartile range (IQR)4.8960773 × 1010

Descriptive statistics

Standard deviation2.7874577 × 1010
Coefficient of variation (CV)0.0013825347
Kurtosis-0.47850533
Mean2.0161936 × 1013
Median Absolute Deviation (MAD)1.9701546 × 1010
Skewness-0.78276845
Sum9.6374054 × 1015
Variance7.7699204 × 1020
MonotonicityNot monotonic
2023-12-11T05:30:47.196361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190222170714 1
 
0.2%
20190319101913 1
 
0.2%
20190208175119 1
 
0.2%
20180315172712 1
 
0.2%
20180125171318 1
 
0.2%
20120104141856 1
 
0.2%
20140702111042 1
 
0.2%
20151130095938 1
 
0.2%
20120509172946 1
 
0.2%
20170522203631 1
 
0.2%
Other values (468) 468
97.9%
ValueCountFrequency (%)
20081203173913 1
0.2%
20090212100046 1
0.2%
20090327174321 1
0.2%
20090504153223 1
0.2%
20091221164820 1
0.2%
20091222160829 1
0.2%
20091229172305 1
0.2%
20100129155507 1
0.2%
20100208174220 1
0.2%
20100419110525 1
0.2%
ValueCountFrequency (%)
20190924132800 1
0.2%
20190920161836 1
0.2%
20190911152326 1
0.2%
20190911150229 1
0.2%
20190909110614 1
0.2%
20190906201049 1
0.2%
20190906200402 1
0.2%
20190906195036 1
0.2%
20190906185039 1
0.2%
20190906104116 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
I
356 
U
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 356
74.5%
U 122
 
25.5%

Length

2023-12-11T05:30:47.432097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:47.568036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 356
74.5%
u 122
 
25.5%

데이터갱신일자
Date

Distinct104
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2018-08-31 23:59:59
Maximum2019-09-26 02:22:38
2023-12-11T05:30:47.724146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:30:47.939606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing478
Missing (%)100.0%
Memory size4.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct436
Distinct (%)91.6%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean343613.01
Minimum329454.22
Maximum356430.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:48.160202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329454.22
5-th percentile337093.98
Q1340138.62
median343432.29
Q3346635.58
95-th percentile352980
Maximum356430.94
Range26976.72
Interquartile range (IQR)6496.956

Descriptive statistics

Standard deviation4639.661
Coefficient of variation (CV)0.013502577
Kurtosis0.4752272
Mean343613.01
Median Absolute Deviation (MAD)3221.795
Skewness0.27123693
Sum1.6355979 × 108
Variance21526454
MonotonicityNot monotonic
2023-12-11T05:30:48.368098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342420.478177 3
 
0.6%
343199.085449 3
 
0.6%
347474.164613 2
 
0.4%
341360.02551 2
 
0.4%
345667.26133 2
 
0.4%
340631.442113 2
 
0.4%
339726.534362 2
 
0.4%
339602.802351 2
 
0.4%
341761.961791 2
 
0.4%
347224.323738 2
 
0.4%
Other values (426) 454
95.0%
ValueCountFrequency (%)
329454.216845 1
0.2%
330387.847151 1
0.2%
330567.11783 1
0.2%
330750.666655 1
0.2%
332220.064187 1
0.2%
332374.0 1
0.2%
333425.85543 1
0.2%
334148.318688 1
0.2%
334163.662029 1
0.2%
334498.15167 1
0.2%
ValueCountFrequency (%)
356430.936586 1
0.2%
356354.352971 1
0.2%
355875.122869 1
0.2%
355857.357218 1
0.2%
355720.0 1
0.2%
355706.163421 1
0.2%
355597.073543 2
0.4%
355595.530398 1
0.2%
354843.399478 1
0.2%
354818.553042 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct436
Distinct (%)91.6%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean263372.9
Minimum245096.11
Maximum274231.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:48.574239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245096.11
5-th percentile257685.29
Q1261294.79
median263386.3
Q3265331.24
95-th percentile270257.89
Maximum274231.06
Range29134.948
Interquartile range (IQR)4036.4446

Descriptive statistics

Standard deviation3722.468
Coefficient of variation (CV)0.014133831
Kurtosis3.5656549
Mean263372.9
Median Absolute Deviation (MAD)2005.6343
Skewness-0.39037026
Sum1.253655 × 108
Variance13856768
MonotonicityNot monotonic
2023-12-11T05:30:48.759917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261583.685645 3
 
0.6%
263950.695637 3
 
0.6%
265215.39989 2
 
0.4%
261758.126509 2
 
0.4%
265304.720376 2
 
0.4%
257515.538181 2
 
0.4%
262518.530341 2
 
0.4%
263285.774115 2
 
0.4%
262769.73809 2
 
0.4%
264280.169629 2
 
0.4%
Other values (426) 454
95.0%
ValueCountFrequency (%)
245096.11462 1
0.2%
245194.809411 1
0.2%
245436.0 1
0.2%
250585.802562 1
0.2%
253850.09474 1
0.2%
254464.570032 1
0.2%
256023.313906 1
0.2%
256293.424664 2
0.4%
256357.152972 1
0.2%
256709.05597 1
0.2%
ValueCountFrequency (%)
274231.062512 1
0.2%
273560.875554 1
0.2%
273502.153909 1
0.2%
273085.642493 1
0.2%
273035.671294 1
0.2%
272948.795549 1
0.2%
272889.980552 1
0.2%
272627.220724 2
0.4%
272589.689012 1
0.2%
272109.07747 1
0.2%

사무실면적
Real number (ℝ)

MISSING 

Distinct323
Distinct (%)80.8%
Missing78
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean47.651
Minimum2.6
Maximum327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:48.968034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile9.9195
Q119.2025
median35.075
Q358.675
95-th percentile132.01
Maximum327
Range324.4
Interquartile range (IQR)39.4725

Descriptive statistics

Standard deviation41.760756
Coefficient of variation (CV)0.87638782
Kurtosis7.6113952
Mean47.651
Median Absolute Deviation (MAD)17.905
Skewness2.2764091
Sum19060.4
Variance1743.9607
MonotonicityNot monotonic
2023-12-11T05:30:49.167239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 6
 
1.3%
36.0 5
 
1.0%
10.0 4
 
0.8%
99.0 4
 
0.8%
33.0 4
 
0.8%
85.0 3
 
0.6%
21.45 3
 
0.6%
29.2 3
 
0.6%
35.0 3
 
0.6%
21.6 3
 
0.6%
Other values (313) 362
75.7%
(Missing) 78
 
16.3%
ValueCountFrequency (%)
2.6 1
0.2%
4.62 1
0.2%
6.0 1
0.2%
6.05 1
0.2%
6.2 1
0.2%
6.27 1
0.2%
7.7 1
0.2%
7.76 1
0.2%
8.0 1
0.2%
8.5 1
0.2%
ValueCountFrequency (%)
327.0 1
0.2%
230.0 1
0.2%
221.5 1
0.2%
218.3 1
0.2%
198.0 1
0.2%
190.0 2
0.4%
179.0 1
0.2%
178.0 1
0.2%
170.0 1
0.2%
161.7 1
0.2%

소독차량차고면적
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)62.7%
Missing92
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean18.996373
Minimum1.56
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:49.379243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.56
5-th percentile3.7
Q18.305
median12.74
Q321.0675
95-th percentile49.6875
Maximum216
Range214.44
Interquartile range (IQR)12.7625

Descriptive statistics

Standard deviation21.954847
Coefficient of variation (CV)1.1557389
Kurtosis33.366518
Mean18.996373
Median Absolute Deviation (MAD)5.74
Skewness4.8088325
Sum7332.6
Variance482.0153
MonotonicityNot monotonic
2023-12-11T05:30:49.597604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 15
 
3.1%
16.5 9
 
1.9%
7.0 8
 
1.7%
20.0 7
 
1.5%
6.0 6
 
1.3%
5.0 6
 
1.3%
16.0 6
 
1.3%
33.0 5
 
1.0%
9.9 5
 
1.0%
18.0 5
 
1.0%
Other values (232) 314
65.7%
(Missing) 92
 
19.2%
ValueCountFrequency (%)
1.56 1
0.2%
1.82 1
0.2%
1.95 1
0.2%
2.0 2
0.4%
2.2 2
0.4%
2.3 1
0.2%
3.0 2
0.4%
3.04 1
0.2%
3.24 2
0.4%
3.25 1
0.2%
ValueCountFrequency (%)
216.0 1
0.2%
207.0 1
0.2%
135.5 1
0.2%
110.8 1
0.2%
98.0 1
0.2%
92.5 1
0.2%
90.0 1
0.2%
82.6 1
0.2%
82.5 1
0.2%
79.2 2
0.4%

초미립자살포기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
1
447 
2
 
22
3
 
5
4
 
2
0
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 447
93.5%
2 22
 
4.6%
3 5
 
1.0%
4 2
 
0.4%
0 2
 
0.4%

Length

2023-12-11T05:30:49.776268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:49.947362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 447
93.5%
2 22
 
4.6%
3 5
 
1.0%
4 2
 
0.4%
0 2
 
0.4%

휴대용소독기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2
464 
3
 
10
4
 
3
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
2 464
97.1%
3 10
 
2.1%
4 3
 
0.6%
7 1
 
0.2%

Length

2023-12-11T05:30:50.092499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:50.234893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 464
97.1%
3 10
 
2.1%
4 3
 
0.6%
7 1
 
0.2%

동력분무기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
1
313 
0
160 
2
 
3
7
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 313
65.5%
0 160
33.5%
2 3
 
0.6%
7 1
 
0.2%
3 1
 
0.2%

Length

2023-12-11T05:30:50.366785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:50.520146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 313
65.5%
0 160
33.5%
2 3
 
0.6%
7 1
 
0.2%
3 1
 
0.2%

수동식분무기수
Real number (ℝ)

Distinct12
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6820084
Minimum3
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:50.669380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35
95-th percentile7
Maximum24
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9042407
Coefficient of variation (CV)0.4067145
Kurtosis41.122143
Mean4.6820084
Median Absolute Deviation (MAD)0
Skewness5.0548301
Sum2238
Variance3.6261326
MonotonicityNot monotonic
2023-12-11T05:30:50.793289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 289
60.5%
3 143
29.9%
7 13
 
2.7%
6 12
 
2.5%
4 7
 
1.5%
8 4
 
0.8%
10 3
 
0.6%
9 2
 
0.4%
20 2
 
0.4%
14 1
 
0.2%
Other values (2) 2
 
0.4%
ValueCountFrequency (%)
3 143
29.9%
4 7
 
1.5%
5 289
60.5%
6 12
 
2.5%
7 13
 
2.7%
8 4
 
0.8%
9 2
 
0.4%
10 3
 
0.6%
14 1
 
0.2%
15 1
 
0.2%
ValueCountFrequency (%)
24 1
 
0.2%
20 2
 
0.4%
15 1
 
0.2%
14 1
 
0.2%
10 3
 
0.6%
9 2
 
0.4%
8 4
 
0.8%
7 13
 
2.7%
6 12
 
2.5%
5 289
60.5%

방독면수
Real number (ℝ)

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0983264
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:50.947336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum20
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.84968691
Coefficient of variation (CV)0.16665997
Kurtosis207.68198
Mean5.0983264
Median Absolute Deviation (MAD)0
Skewness13.13348
Sum2437
Variance0.72196784
MonotonicityNot monotonic
2023-12-11T05:30:51.098453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 466
97.5%
10 4
 
0.8%
6 3
 
0.6%
7 3
 
0.6%
8 1
 
0.2%
20 1
 
0.2%
ValueCountFrequency (%)
5 466
97.5%
6 3
 
0.6%
7 3
 
0.6%
8 1
 
0.2%
10 4
 
0.8%
20 1
 
0.2%
ValueCountFrequency (%)
20 1
 
0.2%
10 4
 
0.8%
8 1
 
0.2%
7 3
 
0.6%
6 3
 
0.6%
5 466
97.5%

보호안경수
Real number (ℝ)

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1087866
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:51.258627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum20
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.89763619
Coefficient of variation (CV)0.17570438
Kurtosis169.27683
Mean5.1087866
Median Absolute Deviation (MAD)0
Skewness11.747551
Sum2442
Variance0.80575073
MonotonicityNot monotonic
2023-12-11T05:30:51.390529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 467
97.7%
10 6
 
1.3%
6 2
 
0.4%
8 1
 
0.2%
7 1
 
0.2%
20 1
 
0.2%
ValueCountFrequency (%)
5 467
97.7%
6 2
 
0.4%
7 1
 
0.2%
8 1
 
0.2%
10 6
 
1.3%
20 1
 
0.2%
ValueCountFrequency (%)
20 1
 
0.2%
10 6
 
1.3%
8 1
 
0.2%
7 1
 
0.2%
6 2
 
0.4%
5 467
97.7%

보호용의복수
Real number (ℝ)

Distinct9
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2594142
Minimum5
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-11T05:30:51.545586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5.15
Maximum29
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6884319
Coefficient of variation (CV)0.3210304
Kurtosis119.33327
Mean5.2594142
Median Absolute Deviation (MAD)0
Skewness10.126661
Sum2514
Variance2.8508022
MonotonicityNot monotonic
2023-12-11T05:30:51.741129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 454
95.0%
10 8
 
1.7%
7 5
 
1.0%
6 4
 
0.8%
8 3
 
0.6%
9 1
 
0.2%
29 1
 
0.2%
20 1
 
0.2%
23 1
 
0.2%
ValueCountFrequency (%)
5 454
95.0%
6 4
 
0.8%
7 5
 
1.0%
8 3
 
0.6%
9 1
 
0.2%
10 8
 
1.7%
20 1
 
0.2%
23 1
 
0.2%
29 1
 
0.2%
ValueCountFrequency (%)
29 1
 
0.2%
23 1
 
0.2%
20 1
 
0.2%
10 8
 
1.7%
9 1
 
0.2%
8 3
 
0.6%
7 5
 
1.0%
6 4
 
0.8%
5 454
95.0%

진공청소기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
1
431 
2
 
29
5
 
8
3
 
8
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 431
90.2%
2 29
 
6.1%
5 8
 
1.7%
3 8
 
1.7%
4 2
 
0.4%

Length

2023-12-11T05:30:51.901913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:30:52.040501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 431
90.2%
2 29
 
6.1%
5 8
 
1.7%
3 8
 
1.7%
4 2
 
0.4%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
01소독업09_30_11_P3410000PHMB52017341002304250000320170425<NA>4취소/말소/만료/정지/중지24직권폐업20190221<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 중앙대로 269 (남산동)41968설악경호20190222170714U2019-02-24 02:40:00.0<NA>343606.417424263096.26307382.6135.512035552
12소독업09_30_11_P3410000PHMB52019341002304250000420150724<NA>1영업/정상13영업중<NA><NA><NA><NA>053-719-0599<NA><NA>대구광역시 중구 대봉동 20번지 1호대구광역시 중구 달구벌대로 2200, 3층 (대봉동)41951터미닉스코리아 대구지사20190802085554I2019-08-04 02:21:53.0<NA>344789.5227263686.422283198.039.012035551
23소독업09_30_11_P3410000PHMB52005341002304250000220051020<NA>3폐업3폐업20091222<NA><NA><NA>053792-5369<NA>700442대구광역시 중구 남산동 615번지 4호대구광역시 중구 관덕정길 73 (남산동)<NA>한울종합방제20091222160829I2018-08-31 23:59:59.0<NA>343651.425274263636.980396<NA><NA>12155551
34소독업09_30_11_P3410000PHMB51999341002304250000319990930<NA>3폐업3폐업20090213<NA><NA><NA>053-473-0005<NA>700755대구광역시 중구 대봉동 60번지 10호대구광역시 중구 대봉로 260 (대봉동)700755그린종합관리20131223100359I2018-08-31 23:59:59.0<NA>344584.149436263593.636812<NA><NA>12155551
45소독업09_30_11_P3410000PHMB52009341002304250000220090302<NA>3폐업3폐업20120726<NA><NA><NA><NA><NA>700753대구광역시 중구 남산4동 2482번지 458호 까치아파트 상가104 지하1층대구광역시 중구 남산로7길 75 (남산동,까치아파트 상가104 지하1층)<NA>대구중구지역자활썬터(말끄미소독방역)20120914155736I2018-08-31 23:59:59.0<NA>342565.585038263288.453034<NA><NA>12155551
56소독업09_30_11_P3410000PHMB52009341002304250000120090227<NA>3폐업3폐업20091229<NA><NA><NA>053-421-0421<NA>700423대구광역시 중구 동인동3가 271번지 190호대구광역시 중구 국채보상로143길 61 (동인동3가)<NA>(주)청담씨엔에스20091229172305I2018-08-31 23:59:59.0<NA>345189.726096264687.004871<NA><NA>12155551
67소독업09_30_11_P3410000PHMB52011341002304250000120110503<NA>3폐업3폐업20111006<NA><NA><NA><NA><NA>700440대구광역시 중구 남산동 175번지 1호대구광역시 중구 달구벌대로 2034 (남산동)<NA>세기위생방역20111007101037I2018-08-31 23:59:59.0<NA>343199.085449263950.69563731.3910.4412155551
78소독업09_30_11_P3410000PHMB52010341002304250000120100118<NA>3폐업3폐업20120914<NA><NA><NA>053-421-6866<NA>700803대구광역시 중구 남산1동 726번지 8호대구광역시 중구 명륜로22길 13 (남산동)<NA>(사)대구광역시보육시설연합회20120917100951I2018-08-31 23:59:59.0<NA>343964.972875263369.13141815.088.3812155551
89소독업09_30_11_P3410000PHMB52009341002304250000420091105<NA>3폐업3폐업20110504<NA><NA><NA><NA><NA>700442대구광역시 중구 남산2동 175번지 1호 서현빌딩 5층대구광역시 중구 달구벌대로 2034 (남산동,서현빌딩 5층)<NA>세기위생방역20110624115137I2018-08-31 23:59:59.0<NA>343199.085449263950.695637<NA><NA>12155551
910소독업09_30_11_P3410000PHMB52009341002304250000320090605<NA>3폐업3폐업20171231<NA><NA><NA>427-0990<NA>700421대구광역시 중구 동인동1가 351번지 2호대구광역시 중구 동덕로 198-14 (동인동1가)<NA>삼정종합관리(주)20180118141452I2018-08-31 23:59:59.0<NA>344913.492939264738.12848788.033.012155551
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
468469소독업09_30_11_P3480000PHMB52007348001204250000120071011<NA>3폐업3폐업20100203<NA><NA><NA><NA><NA>711702대구광역시 달성군 가창면 용계리 465번지 가창중석타운 상가동 204호대구광역시 달성군 가창면 가창로 1018711702제로페스20130426142908I2018-08-31 23:59:59.0<NA>347065.258082256293.42466423.3220.1312155551
469470소독업09_30_11_P3480000PHMB52017348001204250000120170221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 522번지 1호대구광역시 달성군 화원읍 성화로 3842946(주)청소이야기20190709175055U2019-07-11 02:40:00.0<NA>334498.15167256709.0559730.293.312035551
470471소독업09_30_11_P3480000PHMB52016348001204250000120160411<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-8961<NA><NA>대구광역시 달성군 옥포읍 교항리 2936번지대구광역시 달성군 옥포읍 돌미로 85, 4층 402호42974세스코 대구남부지사20190703175458U2019-07-05 02:40:00.0<NA>330387.847151254464.570032178.098.022055551
471472소독업09_30_11_P3480000PHMB52013348001204250000220130204<NA>1영업/정상13영업중<NA><NA><NA><NA>637-0108<NA><NA>대구광역시 달성군 논공읍 노이리 1324번지 2호대구광역시 달성군 논공읍 노이2길 5942975성강건설(주)20190115193919U2019-01-17 02:40:00.0<NA>335144.190213257035.20445560.0216.012135552
472473소독업09_30_11_P3480000PHMB52013348001204250000120130121<NA>1영업/정상13영업중<NA><NA><NA><NA>617-0420 / 635-4205<NA><NA>대구광역시 달성군 현풍면 부리 440번지 41통대구광역시 달성군 현풍면 현풍중앙로16길 1442999(주)나눔과행복20160725170123I2018-08-31 23:59:59.0<NA>330567.11783245096.1146230.012.012155551
473474소독업09_30_11_P3480000PHMB52009348001204250000120091221<NA>1영업/정상13영업중<NA><NA><NA><NA>053)639-6974<NA>711838대구광역시 달성군 화원읍 본리리 80번지 1호대구광역시 달성군 화원읍 성암로 16-1442966천내청소방역20150728110825I2018-08-31 23:59:59.0<NA>336309.096814256773.09881611.817.412155551
474475소독업09_30_11_P3480000PHMB52005348001204250000120050111<NA>1영업/정상13영업중<NA><NA><NA><NA>053-643-2377<NA>711834대구광역시 달성군 화원읍 천내리 107번지 3호대구광역시 달성군 화원읍 성천로 12242948금창환경20190723110115U2019-07-25 02:40:00.0<NA>335023.196036257280.68429829.5815.9512155551
475476소독업09_30_11_P3480000PHMB52018348001204250000120180117<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-7484<NA><NA>대구광역시 달성군 화원읍 명곡리 138번지 명곡미래빌4단지대구광역시 달성군 화원읍 화암로 88, 명곡미래빌4단지 상가동 2층 207호42959주식회사 와이엔티20180120163256I2018-08-31 23:59:59.0<NA>335371.838542256357.15297210.015.012035551
476477소독업09_30_11_P3480000PHMB52019348001204250000220190411<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 쌍계리 623번지 1호대구광역시 달성군 유가읍 현풍로47길 15-5, 1층42989방구방역 대구경북지사20190412110621I2019-04-14 02:20:20.0<NA>332374.0245436.011.34.512035551
477478소독업09_30_11_P3480000PHMB52014348001204250000120141204<NA>3폐업3폐업20170626<NA><NA><NA>053-584-2520<NA>711812대구광역시 달성군 다사읍 매곡리 1546번지 7호대구광역시 달성군 다사읍 달구벌대로 86142914(주)행복한동행20170626102024I2018-08-31 23:59:59.0<NA>332220.064187263114.52719650.76.012155551