Overview

Dataset statistics

Number of variables38
Number of observations635
Missing cells3910
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory205.4 KiB
Average record size in memory331.2 B

Variable types

Numeric16
Categorical12
Text5
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_09_30_11_P_소독업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089704&dataSetDetailId=DDI_0000089748&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
영업상태구분코드 is highly imbalanced (51.2%)Imbalance
영업상태명 is highly imbalanced (51.2%)Imbalance
상세영업상태코드 is highly imbalanced (51.2%)Imbalance
상세영업상태명 is highly imbalanced (51.2%)Imbalance
휴업시작일자 is highly imbalanced (98.3%)Imbalance
휴업종료일자 is highly imbalanced (98.3%)Imbalance
휴대용소독기수 is highly imbalanced (89.2%)Imbalance
동력분무기수 is highly imbalanced (53.0%)Imbalance
진공청소기수 is highly imbalanced (74.9%)Imbalance
인허가취소일자 has 635 (100.0%) missing valuesMissing
폐업일자 has 430 (67.7%) missing valuesMissing
재개업일자 has 635 (100.0%) missing valuesMissing
소재지전화 has 207 (32.6%) missing valuesMissing
소재지면적 has 635 (100.0%) missing valuesMissing
소재지우편번호 has 401 (63.1%) missing valuesMissing
소재지전체주소 has 73 (11.5%) missing valuesMissing
도로명우편번호 has 50 (7.9%) missing valuesMissing
업태구분명 has 635 (100.0%) missing valuesMissing
사무실면적 has 96 (15.1%) missing valuesMissing
소독차량차고면적 has 109 (17.2%) missing valuesMissing
사무실면적 is highly skewed (γ1 = 20.81095303)Skewed
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 20:19:10.343767
Analysis finished2023-12-10 20:19:11.676775
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct635
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318
Minimum1
Maximum635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:11.783093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.7
Q1159.5
median318
Q3476.5
95-th percentile603.3
Maximum635
Range634
Interquartile range (IQR)317

Descriptive statistics

Standard deviation183.45299
Coefficient of variation (CV)0.5768962
Kurtosis-1.2
Mean318
Median Absolute Deviation (MAD)159
Skewness0
Sum201930
Variance33655
MonotonicityStrictly increasing
2023-12-11T05:19:11.971194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
428 1
 
0.2%
421 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
426 1
 
0.2%
427 1
 
0.2%
429 1
 
0.2%
Other values (625) 625
98.4%
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 (%)
635 1
0.2%
634 1
0.2%
633 1
0.2%
632 1
0.2%
631 1
0.2%
630 1
0.2%
629 1
0.2%
628 1
0.2%
627 1
0.2%
626 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
소독업
635 

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 635
100.0%

Length

2023-12-11T05:19:12.176749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:12.292809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소독업 635
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
09_30_11_P
635 

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 635
100.0%

Length

2023-12-11T05:19:12.439429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:12.566110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_11_p 635
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446220.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:12.652845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation21568.215
Coefficient of variation (CV)0.0062585129
Kurtosis-1.3196273
Mean3446220.5
Median Absolute Deviation (MAD)20000
Skewness-0.22703428
Sum2.18835 × 109
Variance4.6518791 × 108
MonotonicityIncreasing
2023-12-11T05:19:12.811957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 139
21.9%
3420000 119
18.7%
3460000 106
16.7%
3450000 87
13.7%
3440000 54
 
8.5%
3430000 52
 
8.2%
3410000 49
 
7.7%
3480000 29
 
4.6%
ValueCountFrequency (%)
3410000 49
 
7.7%
3420000 119
18.7%
3430000 52
 
8.2%
3440000 54
 
8.5%
3450000 87
13.7%
3460000 106
16.7%
3470000 139
21.9%
3480000 29
 
4.6%
ValueCountFrequency (%)
3480000 29
 
4.6%
3470000 139
21.9%
3460000 106
16.7%
3450000 87
13.7%
3440000 54
 
8.5%
3430000 52
 
8.2%
3420000 119
18.7%
3410000 49
 
7.7%

관리번호
Text

UNIQUE 

Distinct635
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T05:19:13.089390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters15875
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

Unique635 ?
Unique (%)100.0%

Sample

1st rowPHMB520173410023042500003
2nd rowPHMB520183410023042500002
3rd rowPHMB520113410023042500002
4th rowPHMB520113410023042500003
5th rowPHMB520113410023042500004
ValueCountFrequency (%)
phmb520173410023042500003 1
 
0.2%
phmb520103460023042500004 1
 
0.2%
phmb520013460023042500001 1
 
0.2%
phmb519953460023042500001 1
 
0.2%
phmb520093460023042500001 1
 
0.2%
phmb520093460023042500002 1
 
0.2%
phmb520103460023042500001 1
 
0.2%
phmb520103460023042500002 1
 
0.2%
phmb520103460023042500003 1
 
0.2%
phmb520053460023042500001 1
 
0.2%
Other values (625) 625
98.4%
2023-12-11T05:19:13.538326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5284
33.3%
2 2510
15.8%
4 1492
 
9.4%
5 1459
 
9.2%
3 1082
 
6.8%
1 773
 
4.9%
P 635
 
4.0%
H 635
 
4.0%
M 635
 
4.0%
B 635
 
4.0%
Other values (4) 735
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13335
84.0%
Uppercase Letter 2540
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5284
39.6%
2 2510
18.8%
4 1492
 
11.2%
5 1459
 
10.9%
3 1082
 
8.1%
1 773
 
5.8%
7 220
 
1.6%
6 213
 
1.6%
9 195
 
1.5%
8 107
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 635
25.0%
H 635
25.0%
M 635
25.0%
B 635
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13335
84.0%
Latin 2540
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5284
39.6%
2 2510
18.8%
4 1492
 
11.2%
5 1459
 
10.9%
3 1082
 
8.1%
1 773
 
5.8%
7 220
 
1.6%
6 213
 
1.6%
9 195
 
1.5%
8 107
 
0.8%
Latin
ValueCountFrequency (%)
P 635
25.0%
H 635
25.0%
M 635
25.0%
B 635
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5284
33.3%
2 2510
15.8%
4 1492
 
9.4%
5 1459
 
9.2%
3 1082
 
6.8%
1 773
 
4.9%
P 635
 
4.0%
H 635
 
4.0%
M 635
 
4.0%
B 635
 
4.0%
Other values (4) 735
 
4.6%

인허가일자
Real number (ℝ)

Distinct572
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20132150
Minimum19841217
Maximum20210521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:13.765222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841217
5-th percentile20000845
Q120100106
median20141128
Q320190920
95-th percentile20210112
Maximum20210521
Range369304
Interquartile range (IQR)90814

Descriptive statistics

Standard deviation68605.929
Coefficient of variation (CV)0.0034077795
Kurtosis1.7472008
Mean20132150
Median Absolute Deviation (MAD)49790
Skewness-1.1931919
Sum1.2783916 × 1010
Variance4.7067735 × 109
MonotonicityNot monotonic
2023-12-11T05:19:14.010204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200421 5
 
0.8%
20200310 3
 
0.5%
20200828 3
 
0.5%
20210126 3
 
0.5%
20090521 3
 
0.5%
20100118 3
 
0.5%
20201223 3
 
0.5%
20200403 2
 
0.3%
20160105 2
 
0.3%
19991018 2
 
0.3%
Other values (562) 606
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 (%)
20210521 1
0.2%
20210518 1
0.2%
20210430 1
0.2%
20210427 1
0.2%
20210421 1
0.2%
20210416 1
0.2%
20210414 1
0.2%
20210406 1
0.2%
20210331 2
0.3%
20210325 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing635
Missing (%)100.0%
Memory size5.7 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
1
429 
3
200 
4
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 429
67.6%
3 200
31.5%
4 5
 
0.8%
2 1
 
0.2%

Length

2023-12-11T05:19:14.201218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:14.350512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 429
67.6%
3 200
31.5%
4 5
 
0.8%
2 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
영업/정상
429 
폐업
200 
취소/말소/만료/정지/중지
 
5
휴업
 
1

Length

Max length14
Median length5
Mean length4.1212598
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 429
67.6%
폐업 200
31.5%
취소/말소/만료/정지/중지 5
 
0.8%
휴업 1
 
0.2%

Length

2023-12-11T05:19:14.541910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:14.712496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 429
67.6%
폐업 200
31.5%
취소/말소/만료/정지/중지 5
 
0.8%
휴업 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
13
429 
3
200 
24
 
5
2
 
1

Length

Max length2
Median length2
Mean length1.6834646
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 429
67.6%
3 200
31.5%
24 5
 
0.8%
2 1
 
0.2%

Length

2023-12-11T05:19:14.888958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:15.083216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 429
67.6%
3 200
31.5%
24 5
 
0.8%
2 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
영업중
429 
폐업
200 
직권폐업
 
5
휴업
 
1

Length

Max length4
Median length3
Mean length2.6913386
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 429
67.6%
폐업 200
31.5%
직권폐업 5
 
0.8%
휴업 1
 
0.2%

Length

2023-12-11T05:19:15.618613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:15.801850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 429
67.6%
폐업 200
31.5%
직권폐업 5
 
0.8%
휴업 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)96.1%
Missing430
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean20151303
Minimum20081010
Maximum20210527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:16.018864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081010
5-th percentile20100210
Q120120726
median20151029
Q320180615
95-th percentile20201220
Maximum20210527
Range129517
Interquartile range (IQR)59889

Descriptive statistics

Standard deviation34545.498
Coefficient of variation (CV)0.0017143059
Kurtosis-1.1195085
Mean20151303
Median Absolute Deviation (MAD)29798
Skewness-0.034973501
Sum4.1310171 × 109
Variance1.1933914 × 109
MonotonicityNot monotonic
2023-12-11T05:19:16.305312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121231 3
 
0.5%
20150526 2
 
0.3%
20130222 2
 
0.3%
20140109 2
 
0.3%
20130809 2
 
0.3%
20100525 2
 
0.3%
20201216 2
 
0.3%
20190207 1
 
0.2%
20171128 1
 
0.2%
20100713 1
 
0.2%
Other values (187) 187
29.4%
(Missing) 430
67.7%
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 (%)
20210527 1
0.2%
20210317 1
0.2%
20210216 1
0.2%
20210126 1
0.2%
20210122 1
0.2%
20210120 1
0.2%
20210114 1
0.2%
20210104 1
0.2%
20201231 1
0.2%
20201229 1
0.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
634 
20170311
 
1

Length

Max length8
Median length4
Mean length4.0062992
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 634
99.8%
20170311 1
 
0.2%

Length

2023-12-11T05:19:16.572916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:16.787715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 634
99.8%
20170311 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
634 
20200310
 
1

Length

Max length8
Median length4
Mean length4.0062992
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 634
99.8%
20200310 1
 
0.2%

Length

2023-12-11T05:19:17.012288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:17.226449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 634
99.8%
20200310 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing635
Missing (%)100.0%
Memory size5.7 KiB

소재지전화
Text

MISSING 

Distinct409
Distinct (%)95.6%
Missing207
Missing (%)32.6%
Memory size5.1 KiB
2023-12-11T05:19:17.626774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.630841
Min length7

Characters and Unicode

Total characters4550
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)91.1%

Sample

1st row0532576866
2nd row070-7355-0525
3rd row053-651-0022
4th row053-766-0627
5th row053-255-0322
ValueCountFrequency (%)
053-767-0408 2
 
0.5%
784-6080 2
 
0.5%
742-3344 2
 
0.5%
257-8119 2
 
0.5%
053-638-8004 2
 
0.5%
053-961-0376 2
 
0.5%
053-626-1230 2
 
0.5%
741-5110 2
 
0.5%
744-3910 2
 
0.5%
053-326-9398 2
 
0.5%
Other values (399) 408
95.3%
2023-12-11T05:19:18.281363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 670
14.7%
- 667
14.7%
3 537
11.8%
0 536
11.8%
2 366
8.0%
6 343
7.5%
7 327
7.2%
1 318
7.0%
4 284
6.2%
8 252
 
5.5%
Other values (5) 250
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3872
85.1%
Dash Punctuation 667
 
14.7%
Close Punctuation 5
 
0.1%
Math Symbol 3
 
0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 670
17.3%
3 537
13.9%
0 536
13.8%
2 366
9.5%
6 343
8.9%
7 327
8.4%
1 318
8.2%
4 284
7.3%
8 252
 
6.5%
9 239
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 667
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 670
14.7%
- 667
14.7%
3 537
11.8%
0 536
11.8%
2 366
8.0%
6 343
7.5%
7 327
7.2%
1 318
7.0%
4 284
6.2%
8 252
 
5.5%
Other values (5) 250
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 670
14.7%
- 667
14.7%
3 537
11.8%
0 536
11.8%
2 366
8.0%
6 343
7.5%
7 327
7.2%
1 318
7.0%
4 284
6.2%
8 252
 
5.5%
Other values (5) 250
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing635
Missing (%)100.0%
Memory size5.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)74.4%
Missing401
Missing (%)63.1%
Infinite0
Infinite (%)0.0%
Mean692627.46
Minimum41230
Maximum711844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:18.555912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41230
5-th percentile700423.65
Q1701846.25
median703805.5
Q3705828
95-th percentile706838.35
Maximum711844
Range670614
Interquartile range (IQR)3981.75

Descriptive statistics

Standard deviation86025.658
Coefficient of variation (CV)0.12420192
Kurtosis54.61756
Mean692627.46
Median Absolute Deviation (MAD)1963
Skewness-7.4903149
Sum1.6207483 × 108
Variance7.4004138 × 109
MonotonicityNot monotonic
2023-12-11T05:19:18.796937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706010 4
 
0.6%
702072 4
 
0.6%
702808 3
 
0.5%
703064 3
 
0.5%
701829 3
 
0.5%
701811 3
 
0.5%
701849 3
 
0.5%
706032 3
 
0.5%
701810 3
 
0.5%
701848 3
 
0.5%
Other values (164) 202
31.8%
(Missing) 401
63.1%
ValueCountFrequency (%)
41230 1
0.2%
41920 1
0.2%
41946 1
0.2%
42696 1
0.2%
700082 1
0.2%
700230 2
0.3%
700380 1
0.2%
700400 1
0.2%
700421 1
0.2%
700423 2
0.3%
ValueCountFrequency (%)
711844 1
0.2%
711838 1
0.2%
711834 1
0.2%
711833 1
0.2%
711812 1
0.2%
711702 2
0.3%
706913 1
0.2%
706852 2
0.3%
706844 1
0.2%
706839 1
0.2%

소재지전체주소
Text

MISSING 

Distinct544
Distinct (%)96.8%
Missing73
Missing (%)11.5%
Memory size5.1 KiB
2023-12-11T05:19:19.296137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length23.213523
Min length12

Characters and Unicode

Total characters13046
Distinct characters207
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

Unique526 ?
Unique (%)93.6%

Sample

1st row대구광역시 중구 동인동3가 271번지 190호
2nd row대구광역시 중구 남산3동 2182번지 4호
3rd row대구광역시 중구 대봉1동 44번지 30호 선모빌딩 4층
4th row대구광역시 중구 남산동 2466번지 23호
5th row대구광역시 중구 남성로 25번지
ValueCountFrequency (%)
대구광역시 562
 
19.6%
달서구 135
 
4.7%
동구 95
 
3.3%
수성구 91
 
3.2%
북구 86
 
3.0%
1호 58
 
2.0%
서구 51
 
1.8%
남구 47
 
1.6%
중구 41
 
1.4%
2호 36
 
1.3%
Other values (800) 1670
58.1%
2023-12-11T05:19:20.092600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2319
17.8%
구 1121
 
8.6%
동 675
 
5.2%
1 639
 
4.9%
대 610
 
4.7%
시 573
 
4.4%
광 565
 
4.3%
역 563
 
4.3%
지 504
 
3.9%
번 465
 
3.6%
Other values (197) 5012
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7813
59.9%
Decimal Number 2799
 
21.5%
Space Separator 2319
 
17.8%
Dash Punctuation 84
 
0.6%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1121
14.3%
동 675
 
8.6%
대 610
 
7.8%
시 573
 
7.3%
광 565
 
7.2%
역 563
 
7.2%
지 504
 
6.5%
번 465
 
6.0%
호 457
 
5.8%
서 199
 
2.5%
Other values (180) 2081
26.6%
Decimal Number
ValueCountFrequency (%)
1 639
22.8%
2 399
14.3%
3 283
10.1%
4 279
10.0%
0 249
 
8.9%
5 211
 
7.5%
6 196
 
7.0%
8 194
 
6.9%
7 182
 
6.5%
9 167
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
2319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7813
59.9%
Common 5232
40.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1121
14.3%
동 675
 
8.6%
대 610
 
7.8%
시 573
 
7.3%
광 565
 
7.2%
역 563
 
7.2%
지 504
 
6.5%
번 465
 
6.0%
호 457
 
5.8%
서 199
 
2.5%
Other values (180) 2081
26.6%
Common
ValueCountFrequency (%)
2319
44.3%
1 639
 
12.2%
2 399
 
7.6%
3 283
 
5.4%
4 279
 
5.3%
0 249
 
4.8%
5 211
 
4.0%
6 196
 
3.7%
8 194
 
3.7%
7 182
 
3.5%
Other values (6) 281
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7813
59.9%
ASCII 5233
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2319
44.3%
1 639
 
12.2%
2 399
 
7.6%
3 283
 
5.4%
4 279
 
5.3%
0 249
 
4.8%
5 211
 
4.0%
6 196
 
3.7%
8 194
 
3.7%
7 182
 
3.5%
Other values (7) 282
 
5.4%
Hangul
ValueCountFrequency (%)
구 1121
14.3%
동 675
 
8.6%
대 610
 
7.8%
시 573
 
7.3%
광 565
 
7.2%
역 563
 
7.2%
지 504
 
6.5%
번 465
 
6.0%
호 457
 
5.8%
서 199
 
2.5%
Other values (180) 2081
26.6%

도로명전체주소
Text

Distinct610
Distinct (%)96.4%
Missing2
Missing (%)0.3%
Memory size5.1 KiB
2023-12-11T05:19:20.721865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length28.153239
Min length20

Characters and Unicode

Total characters17821
Distinct characters268
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique587 ?
Unique (%)92.7%

Sample

1st row대구광역시 중구 중앙대로 269 (남산동)
2nd row대구광역시 중구 달구벌대로 2034 (남산동)
3rd row대구광역시 중구 국채보상로143길 61 (동인동3가)
4th row대구광역시 중구 남산로6길 76 (남산동)
5th row대구광역시 중구 동덕로 61 (대봉동,선모빌딩 4층)
ValueCountFrequency (%)
대구광역시 633
 
17.1%
달서구 139
 
3.8%
동구 118
 
3.2%
수성구 105
 
2.8%
1층 102
 
2.8%
북구 87
 
2.4%
2층 86
 
2.3%
남구 53
 
1.4%
서구 52
 
1.4%
중구 49
 
1.3%
Other values (1011) 2268
61.4%
2023-12-11T05:19:21.582371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3083
 
17.3%
구 1307
 
7.3%
동 855
 
4.8%
대 776
 
4.4%
1 657
 
3.7%
시 649
 
3.6%
광 635
 
3.6%
역 634
 
3.6%
) 610
 
3.4%
( 610
 
3.4%
Other values (258) 8005
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10178
57.1%
Space Separator 3083
 
17.3%
Decimal Number 2814
 
15.8%
Close Punctuation 610
 
3.4%
Open Punctuation 610
 
3.4%
Other Punctuation 395
 
2.2%
Dash Punctuation 126
 
0.7%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1307
 
12.8%
동 855
 
8.4%
대 776
 
7.6%
시 649
 
6.4%
광 635
 
6.2%
역 634
 
6.2%
로 599
 
5.9%
길 355
 
3.5%
층 306
 
3.0%
서 247
 
2.4%
Other values (238) 3815
37.5%
Decimal Number
ValueCountFrequency (%)
1 657
23.3%
2 482
17.1%
3 322
11.4%
4 280
10.0%
0 235
 
8.4%
5 212
 
7.5%
6 189
 
6.7%
7 163
 
5.8%
8 146
 
5.2%
9 128
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 394
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3083
100.0%
Close Punctuation
ValueCountFrequency (%)
) 610
100.0%
Open Punctuation
ValueCountFrequency (%)
( 610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10178
57.1%
Common 7638
42.9%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1307
 
12.8%
동 855
 
8.4%
대 776
 
7.6%
시 649
 
6.4%
광 635
 
6.2%
역 634
 
6.2%
로 599
 
5.9%
길 355
 
3.5%
층 306
 
3.0%
서 247
 
2.4%
Other values (238) 3815
37.5%
Common
ValueCountFrequency (%)
3083
40.4%
1 657
 
8.6%
) 610
 
8.0%
( 610
 
8.0%
2 482
 
6.3%
, 394
 
5.2%
3 322
 
4.2%
4 280
 
3.7%
0 235
 
3.1%
5 212
 
2.8%
Other values (6) 753
 
9.9%
Latin
ValueCountFrequency (%)
B 2
40.0%
A 1
20.0%
e 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10178
57.1%
ASCII 7643
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3083
40.3%
1 657
 
8.6%
) 610
 
8.0%
( 610
 
8.0%
2 482
 
6.3%
, 394
 
5.2%
3 322
 
4.2%
4 280
 
3.7%
0 235
 
3.1%
5 212
 
2.8%
Other values (10) 758
 
9.9%
Hangul
ValueCountFrequency (%)
구 1307
 
12.8%
동 855
 
8.4%
대 776
 
7.6%
시 649
 
6.4%
광 635
 
6.2%
역 634
 
6.2%
로 599
 
5.9%
길 355
 
3.5%
층 306
 
3.0%
서 247
 
2.4%
Other values (238) 3815
37.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct422
Distinct (%)72.1%
Missing50
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean109957.34
Minimum41007
Maximum711702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:21.844289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41103.6
Q141533
median42162
Q342714
95-th percentile704348.2
Maximum711702
Range670695
Interquartile range (IQR)1181

Descriptive statistics

Standard deviation201121.8
Coefficient of variation (CV)1.8290895
Kurtosis4.9168566
Mean109957.34
Median Absolute Deviation (MAD)590
Skewness2.6267491
Sum64325041
Variance4.044998 × 1010
MonotonicityNot monotonic
2023-12-11T05:19:22.055056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42819 5
 
0.8%
42471 5
 
0.8%
42679 4
 
0.6%
41078 4
 
0.6%
41196 4
 
0.6%
42733 4
 
0.6%
42678 3
 
0.5%
42135 3
 
0.5%
41465 3
 
0.5%
41419 3
 
0.5%
Other values (412) 547
86.1%
(Missing) 50
 
7.9%
ValueCountFrequency (%)
41007 1
0.2%
41017 1
0.2%
41026 1
0.2%
41029 1
0.2%
41033 1
0.2%
41035 1
0.2%
41042 1
0.2%
41048 2
0.3%
41057 1
0.2%
41061 1
0.2%
ValueCountFrequency (%)
711702 2
0.3%
706853 1
0.2%
706852 2
0.3%
706838 2
0.3%
706833 1
0.2%
706824 1
0.2%
706818 1
0.2%
706813 2
0.3%
706810 1
0.2%
706808 2
0.3%

사업장명
Text

Distinct595
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T05:19:22.401138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length7.4362205
Min length2

Characters and Unicode

Total characters4722
Distinct characters401
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

Unique564 ?
Unique (%)88.8%

Sample

1st row설악경호
2nd row(주)유 대구지사
3rd row(주)청담씨엔에스
4th row지에스환경
5th row(사)한국지체장애인협회
ValueCountFrequency (%)
주식회사 40
 
5.3%
주 5
 
0.7%
한국방제공사 4
 
0.5%
세기위생방역 4
 
0.5%
종합관리 4
 
0.5%
청쿰방역공사 4
 
0.5%
한일종합방역공사 3
 
0.4%
대구경북지사 3
 
0.4%
그린방역 3
 
0.4%
대구지사 3
 
0.4%
Other values (636) 682
90.3%
2023-12-11T05:19:22.995316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 269
 
5.7%
) 231
 
4.9%
( 229
 
4.8%
스 131
 
2.8%
사 122
 
2.6%
120
 
2.5%
역 105
 
2.2%
방 99
 
2.1%
대 96
 
2.0%
리 88
 
1.9%
Other values (391) 3232
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3977
84.2%
Close Punctuation 231
 
4.9%
Open Punctuation 229
 
4.8%
Space Separator 120
 
2.5%
Uppercase Letter 100
 
2.1%
Lowercase Letter 39
 
0.8%
Decimal Number 18
 
0.4%
Other Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 269
 
6.8%
스 131
 
3.3%
사 122
 
3.1%
역 105
 
2.6%
방 99
 
2.5%
대 96
 
2.4%
리 88
 
2.2%
경 83
 
2.1%
합 81
 
2.0%
에 80
 
2.0%
Other values (342) 2823
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 17
17.0%
E 15
15.0%
N 11
11.0%
C 9
9.0%
O 7
7.0%
G 6
 
6.0%
Z 6
 
6.0%
K 6
 
6.0%
M 4
 
4.0%
L 3
 
3.0%
Other values (13) 16
16.0%
Lowercase Letter
ValueCountFrequency (%)
e 10
25.6%
a 5
12.8%
n 5
12.8%
o 4
 
10.3%
c 3
 
7.7%
r 2
 
5.1%
f 2
 
5.1%
l 2
 
5.1%
b 1
 
2.6%
i 1
 
2.6%
Other values (4) 4
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 7
38.9%
9 3
16.7%
3 3
16.7%
5 2
 
11.1%
6 2
 
11.1%
0 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
, 3
37.5%
. 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3977
84.2%
Common 606
 
12.8%
Latin 139
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 269
 
6.8%
스 131
 
3.3%
사 122
 
3.1%
역 105
 
2.6%
방 99
 
2.5%
대 96
 
2.4%
리 88
 
2.2%
경 83
 
2.1%
합 81
 
2.0%
에 80
 
2.0%
Other values (342) 2823
71.0%
Latin
ValueCountFrequency (%)
S 17
 
12.2%
E 15
 
10.8%
N 11
 
7.9%
e 10
 
7.2%
C 9
 
6.5%
O 7
 
5.0%
G 6
 
4.3%
Z 6
 
4.3%
K 6
 
4.3%
a 5
 
3.6%
Other values (27) 47
33.8%
Common
ValueCountFrequency (%)
) 231
38.1%
( 229
37.8%
120
19.8%
1 7
 
1.2%
& 4
 
0.7%
, 3
 
0.5%
9 3
 
0.5%
3 3
 
0.5%
5 2
 
0.3%
6 2
 
0.3%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3977
84.2%
ASCII 745
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 269
 
6.8%
스 131
 
3.3%
사 122
 
3.1%
역 105
 
2.6%
방 99
 
2.5%
대 96
 
2.4%
리 88
 
2.2%
경 83
 
2.1%
합 81
 
2.0%
에 80
 
2.0%
Other values (342) 2823
71.0%
ASCII
ValueCountFrequency (%)
) 231
31.0%
( 229
30.7%
120
16.1%
S 17
 
2.3%
E 15
 
2.0%
N 11
 
1.5%
e 10
 
1.3%
C 9
 
1.2%
O 7
 
0.9%
1 7
 
0.9%
Other values (39) 89
 
11.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct635
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0177337 × 1013
Minimum2.0081203 × 1013
Maximum2.0210527 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:23.253539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081203 × 1013
5-th percentile2.0111124 × 1013
Q12.0160521 × 1013
median2.0190318 × 1013
Q32.0200808 × 1013
95-th percentile2.0210408 × 1013
Maximum2.0210527 × 1013
Range1.29324 × 1011
Interquartile range (IQR)4.0286952 × 1010

Descriptive statistics

Standard deviation3.1447887 × 1010
Coefficient of variation (CV)0.0015585747
Kurtosis-0.025758381
Mean2.0177337 × 1013
Median Absolute Deviation (MAD)1.0913079 × 1010
Skewness-1.0164626
Sum1.2812609 × 1016
Variance9.8896961 × 1020
MonotonicityNot monotonic
2023-12-11T05:19:23.492096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190222170714 1
 
0.2%
20130708164826 1
 
0.2%
20160127173533 1
 
0.2%
20150310111056 1
 
0.2%
20100419110525 1
 
0.2%
20120713094148 1
 
0.2%
20151222164254 1
 
0.2%
20110722105250 1
 
0.2%
20081203173913 1
 
0.2%
20120626182241 1
 
0.2%
Other values (625) 625
98.4%
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 (%)
20210527170115 1
0.2%
20210525135000 1
0.2%
20210522185020 1
0.2%
20210521185431 1
0.2%
20210518204140 1
0.2%
20210517142310 1
0.2%
20210511104325 1
0.2%
20210511104059 1
0.2%
20210507104101 1
0.2%
20210507103908 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
I
402 
U
233 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 402
63.3%
U 233
36.7%

Length

2023-12-11T05:19:23.695016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:23.846940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 402
63.3%
u 233
36.7%

데이터갱신일자
Date

Distinct285
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-29 02:40:00
2023-12-11T05:19:24.013944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:19:24.241848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing635
Missing (%)100.0%
Memory size5.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct573
Distinct (%)90.4%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean343473.27
Minimum327191.86
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:24.448833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327191.86
5-th percentile335911.5
Q1340015.8
median343361.23
Q3346714.66
95-th percentile353115.85
Maximum356698.37
Range29506.51
Interquartile range (IQR)6698.8647

Descriptive statistics

Standard deviation4903.0157
Coefficient of variation (CV)0.01427481
Kurtosis0.36006519
Mean343473.27
Median Absolute Deviation (MAD)3359.67
Skewness0.17178402
Sum2.1776205 × 108
Variance24039563
MonotonicityNot monotonic
2023-12-11T05:19:24.657120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343199.085449 4
 
0.6%
340532.24011 3
 
0.5%
342420.478177 3
 
0.5%
343068.986845 2
 
0.3%
348516.23726 2
 
0.3%
341845.173923 2
 
0.3%
338428.163842 2
 
0.3%
348128.728398 2
 
0.3%
339883.792487 2
 
0.3%
344453.192044 2
 
0.3%
Other values (563) 610
96.1%
ValueCountFrequency (%)
327191.856602 1
0.2%
329454.216845 1
0.2%
330387.847151 1
0.2%
330459.024991 1
0.2%
330567.11783 1
0.2%
330750.666655 1
0.2%
331517.0 1
0.2%
331674.0 1
0.2%
331926.347477 1
0.2%
332220.064187 1
0.2%
ValueCountFrequency (%)
356698.367083 1
0.2%
356430.936586 1
0.2%
356354.352971 1
0.2%
355875.122869 1
0.2%
355857.357218 2
0.3%
355720.0 1
0.2%
355706.163421 1
0.2%
355597.073543 2
0.3%
355595.530398 1
0.2%
355595.0 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct572
Distinct (%)90.2%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean263248.2
Minimum240800.46
Maximum277860.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:24.892521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240800.46
5-th percentile257515.54
Q1261115.51
median263376.79
Q3265354.66
95-th percentile270363.49
Maximum277860.93
Range37060.467
Interquartile range (IQR)4239.1565

Descriptive statistics

Standard deviation4019.7523
Coefficient of variation (CV)0.015269818
Kurtosis4.829245
Mean263248.2
Median Absolute Deviation (MAD)2155.9166
Skewness-0.73815077
Sum1.6689936 × 108
Variance16158408
MonotonicityNot monotonic
2023-12-11T05:19:25.188347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263950.695637 4
 
0.6%
261583.685645 3
 
0.5%
259658.906947 3
 
0.5%
260522.71227 2
 
0.3%
266273.9172 2
 
0.3%
257515.538181 2
 
0.3%
263201.443499 2
 
0.3%
265826.500959 2
 
0.3%
262561.778893 2
 
0.3%
265785.603884 2
 
0.3%
Other values (562) 610
96.1%
ValueCountFrequency (%)
240800.459747 1
0.2%
242483.0 1
0.2%
244510.0 1
0.2%
245096.11462 1
0.2%
245194.809411 1
0.2%
245436.0 1
0.2%
250585.802562 1
0.2%
252984.61594 1
0.2%
253850.09474 1
0.2%
254464.570032 1
0.2%
ValueCountFrequency (%)
277860.926384 1
0.2%
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%
272812.307211 1
0.2%
272627.220724 2
0.3%

사무실면적
Real number (ℝ)

MISSING  SKEWED 

Distinct385
Distinct (%)71.4%
Missing96
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean58.650111
Minimum2.6
Maximum4284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:25.480444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile9.882
Q120
median35.15
Q360.925
95-th percentile145.02
Maximum4284
Range4281.4
Interquartile range (IQR)40.925

Descriptive statistics

Standard deviation189.27089
Coefficient of variation (CV)3.227119
Kurtosis463.92458
Mean58.650111
Median Absolute Deviation (MAD)17.95
Skewness20.810953
Sum31612.41
Variance35823.47
MonotonicityNot monotonic
2023-12-11T05:19:25.699959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 12
 
1.9%
10.0 11
 
1.7%
33.0 8
 
1.3%
20.0 6
 
0.9%
36.0 6
 
0.9%
35.0 6
 
0.9%
99.0 5
 
0.8%
23.1 5
 
0.8%
49.5 5
 
0.8%
16.5 4
 
0.6%
Other values (375) 471
74.2%
(Missing) 96
 
15.1%
ValueCountFrequency (%)
2.6 1
0.2%
3.3 1
0.2%
4.62 1
0.2%
5.0 1
0.2%
6.0 1
0.2%
6.05 1
0.2%
6.2 1
0.2%
6.27 1
0.2%
6.5 1
0.2%
6.61 1
0.2%
ValueCountFrequency (%)
4284.0 1
0.2%
471.41 1
0.2%
402.0 1
0.2%
330.0 1
0.2%
327.0 1
0.2%
249.0 1
0.2%
244.0 1
0.2%
230.0 1
0.2%
221.5 1
0.2%
220.0 1
0.2%

소독차량차고면적
Real number (ℝ)

MISSING 

Distinct278
Distinct (%)52.9%
Missing109
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean23.212776
Minimum0.9
Maximum1776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:25.966285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile3.7
Q17.83
median13
Q321.49
95-th percentile60.48
Maximum1776
Range1775.1
Interquartile range (IQR)13.66

Descriptive statistics

Standard deviation80.755538
Coefficient of variation (CV)3.4789264
Kurtosis424.8561
Mean23.212776
Median Absolute Deviation (MAD)6.15
Skewness19.686377
Sum12209.92
Variance6521.4569
MonotonicityNot monotonic
2023-12-11T05:19:26.663484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 25
 
3.9%
16.5 18
 
2.8%
9.9 14
 
2.2%
5.0 11
 
1.7%
7.0 11
 
1.7%
6.0 10
 
1.6%
6.6 10
 
1.6%
13.2 10
 
1.6%
15.0 9
 
1.4%
33.0 8
 
1.3%
Other values (268) 400
63.0%
(Missing) 109
 
17.2%
ValueCountFrequency (%)
0.9 1
0.2%
1.1 1
0.2%
1.56 1
0.2%
1.8 1
0.2%
1.82 1
0.2%
1.95 1
0.2%
2.0 1
0.2%
2.2 2
0.3%
2.3 2
0.3%
2.5 1
0.2%
ValueCountFrequency (%)
1776.0 1
0.2%
216.0 1
0.2%
207.0 1
0.2%
200.0 1
0.2%
198.0 1
0.2%
181.02 1
0.2%
175.0 1
0.2%
135.5 1
0.2%
131.12 1
0.2%
111.0 1
0.2%

초미립자살포기수
Real number (ℝ)

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1338583
Minimum0
Maximum6
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:26.865605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50176667
Coefficient of variation (CV)0.44253033
Kurtosis28.297509
Mean1.1338583
Median Absolute Deviation (MAD)0
Skewness4.7516678
Sum720
Variance0.25176979
MonotonicityNot monotonic
2023-12-11T05:19:27.025340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 577
90.9%
2 37
 
5.8%
3 14
 
2.2%
4 4
 
0.6%
0 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
0 1
 
0.2%
1 577
90.9%
2 37
 
5.8%
3 14
 
2.2%
4 4
 
0.6%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
4 4
 
0.6%
3 14
 
2.2%
2 37
 
5.8%
1 577
90.9%
0 1
 
0.2%

휴대용소독기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2
617 
3
 
13
4
 
4
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 (%)
2 617
97.2%
3 13
 
2.0%
4 4
 
0.6%
7 1
 
0.2%

Length

2023-12-11T05:19:27.266763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:27.441053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 617
97.2%
3 13
 
2.0%
4 4
 
0.6%
7 1
 
0.2%

동력분무기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
0
316 
1
312 
2
 
3
3
 
3
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 316
49.8%
1 312
49.1%
2 3
 
0.5%
3 3
 
0.5%
7 1
 
0.2%

Length

2023-12-11T05:19:27.626935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:27.815340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 316
49.8%
1 312
49.1%
2 3
 
0.5%
3 3
 
0.5%
7 1
 
0.2%

수동식분무기수
Real number (ℝ)

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3307087
Minimum3
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:27.988032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35
95-th percentile6.3
Maximum24
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8587975
Coefficient of variation (CV)0.42921323
Kurtosis37.36716
Mean4.3307087
Median Absolute Deviation (MAD)2
Skewness4.647422
Sum2750
Variance3.455128
MonotonicityNot monotonic
2023-12-11T05:19:28.160894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 288
45.4%
5 288
45.4%
4 14
 
2.2%
7 13
 
2.0%
6 13
 
2.0%
10 7
 
1.1%
8 5
 
0.8%
9 2
 
0.3%
20 2
 
0.3%
24 1
 
0.2%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
3 288
45.4%
4 14
 
2.2%
5 288
45.4%
6 13
 
2.0%
7 13
 
2.0%
8 5
 
0.8%
9 2
 
0.3%
10 7
 
1.1%
14 1
 
0.2%
15 1
 
0.2%
ValueCountFrequency (%)
24 1
 
0.2%
20 2
 
0.3%
15 1
 
0.2%
14 1
 
0.2%
10 7
 
1.1%
9 2
 
0.3%
8 5
 
0.8%
7 13
 
2.0%
6 13
 
2.0%
5 288
45.4%

방독면수
Real number (ℝ)

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0944882
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:28.319405image/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 deviation0.79064992
Coefficient of variation (CV)0.15519713
Kurtosis212.73846
Mean5.0944882
Median Absolute Deviation (MAD)0
Skewness13.02652
Sum3235
Variance0.6251273
MonotonicityNot monotonic
2023-12-11T05:19:28.479718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 618
97.3%
6 6
 
0.9%
10 6
 
0.9%
7 3
 
0.5%
8 1
 
0.2%
20 1
 
0.2%
ValueCountFrequency (%)
5 618
97.3%
6 6
 
0.9%
7 3
 
0.5%
8 1
 
0.2%
10 6
 
0.9%
20 1
 
0.2%
ValueCountFrequency (%)
20 1
 
0.2%
10 6
 
0.9%
8 1
 
0.2%
7 3
 
0.5%
6 6
 
0.9%
5 618
97.3%

보호안경수
Real number (ℝ)

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1307087
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:28.631044image/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 deviation1.0204156
Coefficient of variation (CV)0.19888394
Kurtosis147.29827
Mean5.1307087
Median Absolute Deviation (MAD)0
Skewness11.217636
Sum3258
Variance1.0412479
MonotonicityNot monotonic
2023-12-11T05:19:28.811909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 615
96.9%
10 8
 
1.3%
6 8
 
1.3%
20 2
 
0.3%
7 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
5 615
96.9%
6 8
 
1.3%
7 1
 
0.2%
8 1
 
0.2%
10 8
 
1.3%
20 2
 
0.3%
ValueCountFrequency (%)
20 2
 
0.3%
10 8
 
1.3%
8 1
 
0.2%
7 1
 
0.2%
6 8
 
1.3%
5 615
96.9%

보호용의복수
Real number (ℝ)

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4629921
Minimum5
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T05:19:28.992818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile7.3
Maximum60
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9544065
Coefficient of variation (CV)0.54080373
Kurtosis200.05796
Mean5.4629921
Median Absolute Deviation (MAD)0
Skewness12.536298
Sum3469
Variance8.7285178
MonotonicityNot monotonic
2023-12-11T05:19:29.156975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 591
93.1%
10 19
 
3.0%
6 7
 
1.1%
7 5
 
0.8%
8 4
 
0.6%
9 2
 
0.3%
20 2
 
0.3%
15 1
 
0.2%
29 1
 
0.2%
23 1
 
0.2%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
5 591
93.1%
6 7
 
1.1%
7 5
 
0.8%
8 4
 
0.6%
9 2
 
0.3%
10 19
 
3.0%
15 1
 
0.2%
20 2
 
0.3%
23 1
 
0.2%
29 1
 
0.2%
ValueCountFrequency (%)
60 1
 
0.2%
30 1
 
0.2%
29 1
 
0.2%
23 1
 
0.2%
20 2
 
0.3%
15 1
 
0.2%
10 19
3.0%
9 2
 
0.3%
8 4
 
0.6%
7 5
 
0.8%

진공청소기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
1
577 
2
 
34
3
 
12
5
 
9
4
 
3

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 (%)
1 577
90.9%
2 34
 
5.4%
3 12
 
1.9%
5 9
 
1.4%
4 3
 
0.5%

Length

2023-12-11T05:19:29.328731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:29.496019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 577
90.9%
2 34
 
5.4%
3 12
 
1.9%
5 9
 
1.4%
4 3
 
0.5%

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_P3410000PHMB52018341002304250000220181130<NA>1영업/정상13영업중<NA><NA><NA><NA>0532576866<NA><NA><NA>대구광역시 중구 달구벌대로 2034 (남산동)41964(주)유 대구지사20191104114331U2019-11-06 02:40:00.0<NA>343199.085449263950.695637<NA><NA>22055551
23소독업09_30_11_P3410000PHMB52011341002304250000220110513<NA>3폐업3폐업20121231<NA><NA><NA><NA><NA>700423대구광역시 중구 동인동3가 271번지 190호대구광역시 중구 국채보상로143길 61 (동인동3가)<NA>(주)청담씨엔에스20121231134043I2018-08-31 23:59:59.0<NA>345189.726096264687.004871<NA><NA>12155551
34소독업09_30_11_P3410000PHMB52011341002304250000320110615<NA>3폐업3폐업20111004<NA><NA><NA><NA><NA>700443대구광역시 중구 남산3동 2182번지 4호대구광역시 중구 남산로6길 76 (남산동)<NA>지에스환경20111005101236I2018-08-31 23:59:59.0<NA>343246.943634263071.8392999.9116.2812155551
45소독업09_30_11_P3410000PHMB52011341002304250000420110830<NA>3폐업3폐업20140121<NA><NA><NA><NA><NA>700431대구광역시 중구 대봉1동 44번지 30호 선모빌딩 4층대구광역시 중구 동덕로 61 (대봉동,선모빌딩 4층)<NA>(사)한국지체장애인협회20140122090013I2018-08-31 23:59:59.0<NA>344791.930978263429.773339<NA><NA>12155551
56소독업09_30_11_P3410000PHMB52013341002304250000120130123<NA>3폐업3폐업20170802<NA><NA><NA>070-7355-0525<NA>700837대구광역시 중구 남산동 2466번지 23호대구광역시 중구 남산로 45 (남산동)<NA>한국방제20170802154556I2018-08-31 23:59:59.0<NA>342852.923909263422.2203059.220.0812155551
67소독업09_30_11_P3410000PHMB52013341002304250000220130710<NA>3폐업3폐업20141205<NA><NA><NA>053-651-0022<NA>700230대구광역시 중구 남성로 25번지대구광역시 중구 남성로 7-1 (남성로)<NA>(주)올케어코리아20141205151615I2018-08-31 23:59:59.0<NA>343434.524281264685.641419.8366.1112155551
78소독업09_30_11_P3410000PHMB52008341002304250000120080610<NA>3폐업3폐업20090504<NA><NA><NA>053-766-0627<NA>700082대구광역시 중구 계산동2가 138번지 1호대구광역시 중구 약령길 34 (계산동2가)<NA>한울방역20090504153223I2018-08-31 23:59:59.0<NA>343430.068812264231.390638<NA><NA>12155551
89소독업09_30_11_P3410000PHMB52014341002304250000220141006<NA>3폐업3폐업20181219<NA><NA><NA>053-255-0322<NA>700230대구광역시 중구 남성로 31번지대구광역시 중구 남성로 7-1, 2층 (남성로)41934다사랑 장애인 보호 작업장20181219145931U2018-12-21 02:40:00.0<NA>343360.638566264375.94844320.1622.1412155551
910소독업09_30_11_P3410000PHMB52014341002304250000320141021<NA>3폐업3폐업20160613<NA><NA><NA>053.291.3611<NA>700400대구광역시 중구 봉산동대구광역시 중구 이천로 243 (봉산동)41959세상을 가꾸는 사람들20160613142448I2018-08-31 23:59:59.0<NA>344369.591099263706.006969<NA><NA>12155551
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
625626소독업09_30_11_P3480000PHMB52021348001204250000220210324<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 가창로 1011-142936(주)팔봉산업관리20210331114547U2021-04-02 02:40:00.0<NA>346985.0256303.045.262.7120351051
626627소독업09_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
627628소독업09_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
628629소독업09_30_11_P3480000PHMB52009348001204250000120091221<NA>1영업/정상13영업중<NA><NA><NA><NA>053)639-6974<NA>711838대구광역시 달성군 화원읍 본리리 80번지 1호대구광역시 달성군 화원읍 성암로 16-1442966천내청소방역20201110154004U2020-11-12 02:40:00.0<NA>336309.096814256773.09881611.817.412155551
629630소독업09_30_11_P3480000PHMB52013348001204250000120130121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 440번지 41통대구광역시 달성군 현풍읍 현풍중앙로16길 1442999(주)나눔과행복20210415134359U2021-04-17 02:40:00.0<NA>330567.11783245096.1146230.012.012155551
630631소독업09_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
631632소독업09_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 대구남부지사20191224173442U2019-12-26 02:40:00.0<NA>330387.847151254464.570032178.098.022055551
632633소독업09_30_11_P3480000PHMB52017348001204250000120170221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 522번지 1호대구광역시 달성군 화원읍 성화로 3842946(주)청소이야기20210315133927U2021-03-17 02:40:00.0<NA>334498.15167256709.0559730.293.312035551
633634소독업09_30_11_P3480000PHMB52020348001204250001020201223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 명천로 29642957방역의 민족20210201175122U2021-02-03 02:40:00.0<NA>334378.389849256125.0032545.06.612035551
634635소독업09_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