Overview

Dataset statistics

Number of variables38
Number of observations648
Missing cells3992
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory209.6 KiB
Average record size in memory331.2 B

Variable types

Numeric16
Categorical12
Text5
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_09_30_11_P_소독업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090915&dataSetDetailId=DDI_0000090989&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
휴업시작일자 is highly imbalanced (97.9%)Imbalance
휴업종료일자 is highly imbalanced (97.9%)Imbalance
휴대용소독기수 is highly imbalanced (88.8%)Imbalance
동력분무기수 is highly imbalanced (53.0%)Imbalance
진공청소기수 is highly imbalanced (75.3%)Imbalance
인허가취소일자 has 648 (100.0%) missing valuesMissing
폐업일자 has 438 (67.6%) missing valuesMissing
재개업일자 has 648 (100.0%) missing valuesMissing
소재지전화 has 216 (33.3%) missing valuesMissing
소재지면적 has 648 (100.0%) missing valuesMissing
소재지우편번호 has 415 (64.0%) missing valuesMissing
소재지전체주소 has 72 (11.1%) missing valuesMissing
도로명우편번호 has 50 (7.7%) missing valuesMissing
업태구분명 has 648 (100.0%) missing valuesMissing
사무실면적 has 95 (14.7%) missing valuesMissing
소독차량차고면적 has 108 (16.7%) missing valuesMissing
사무실면적 is highly skewed (γ1 = 21.00589384)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 18:52:22.902949
Analysis finished2023-12-10 18:52:24.194493
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct648
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.5
Minimum1
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:24.351409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.35
Q1162.75
median324.5
Q3486.25
95-th percentile615.65
Maximum648
Range647
Interquartile range (IQR)323.5

Descriptive statistics

Standard deviation187.20577
Coefficient of variation (CV)0.5769053
Kurtosis-1.2
Mean324.5
Median Absolute Deviation (MAD)162
Skewness0
Sum210276
Variance35046
MonotonicityStrictly increasing
2023-12-11T03:52:24.638635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
447 1
 
0.2%
429 1
 
0.2%
430 1
 
0.2%
431 1
 
0.2%
432 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
Other values (638) 638
98.5%
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 (%)
648 1
0.2%
647 1
0.2%
646 1
0.2%
645 1
0.2%
644 1
0.2%
643 1
0.2%
642 1
0.2%
641 1
0.2%
640 1
0.2%
639 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
소독업
648 

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 648
100.0%

Length

2023-12-11T03:52:24.892830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:25.385901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소독업 648
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
09_30_11_P
648 

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 648
100.0%

Length

2023-12-11T03:52:25.543853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:25.732294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_11_p 648
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446296.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:25.882140image/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 deviation21580.198
Coefficient of variation (CV)0.0062618523
Kurtosis-1.3200063
Mean3446296.3
Median Absolute Deviation (MAD)20000
Skewness-0.236518
Sum2.2332 × 109
Variance4.6570496 × 108
MonotonicityIncreasing
2023-12-11T03:52:26.102675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 144
22.2%
3420000 122
18.8%
3460000 108
16.7%
3450000 89
13.7%
3440000 55
 
8.5%
3430000 51
 
7.9%
3410000 50
 
7.7%
3480000 29
 
4.5%
ValueCountFrequency (%)
3410000 50
 
7.7%
3420000 122
18.8%
3430000 51
 
7.9%
3440000 55
 
8.5%
3450000 89
13.7%
3460000 108
16.7%
3470000 144
22.2%
3480000 29
 
4.5%
ValueCountFrequency (%)
3480000 29
 
4.5%
3470000 144
22.2%
3460000 108
16.7%
3450000 89
13.7%
3440000 55
 
8.5%
3430000 51
 
7.9%
3420000 122
18.8%
3410000 50
 
7.7%

관리번호
Text

UNIQUE 

Distinct648
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-11T03:52:26.448136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters16200
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

Unique648 ?
Unique (%)100.0%

Sample

1st rowPHMB520173410023042500003
2nd rowPHMB520183410023042500002
3rd rowPHMB520113410023042500002
4th rowPHMB520113410023042500003
5th rowPHMB520113410023042500004
ValueCountFrequency (%)
phmb520173410023042500003 1
 
0.2%
phmb520113460023042500002 1
 
0.2%
phmb520053460023042500001 1
 
0.2%
phmb520103460023042500004 1
 
0.2%
phmb519943460023042500002 1
 
0.2%
phmb519953460023042500001 1
 
0.2%
phmb520093460023042500001 1
 
0.2%
phmb520093460023042500002 1
 
0.2%
phmb520103460023042500001 1
 
0.2%
phmb520103460023042500002 1
 
0.2%
Other values (638) 638
98.5%
2023-12-11T03:52:27.064521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5382
33.2%
2 2574
15.9%
4 1522
 
9.4%
5 1489
 
9.2%
3 1101
 
6.8%
1 791
 
4.9%
P 648
 
4.0%
H 648
 
4.0%
M 648
 
4.0%
B 648
 
4.0%
Other values (4) 749
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13608
84.0%
Uppercase Letter 2592
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5382
39.6%
2 2574
18.9%
4 1522
 
11.2%
5 1489
 
10.9%
3 1101
 
8.1%
1 791
 
5.8%
7 228
 
1.7%
6 218
 
1.6%
9 194
 
1.4%
8 109
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 648
25.0%
H 648
25.0%
M 648
25.0%
B 648
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13608
84.0%
Latin 2592
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5382
39.6%
2 2574
18.9%
4 1522
 
11.2%
5 1489
 
10.9%
3 1101
 
8.1%
1 791
 
5.8%
7 228
 
1.7%
6 218
 
1.6%
9 194
 
1.4%
8 109
 
0.8%
Latin
ValueCountFrequency (%)
P 648
25.0%
H 648
25.0%
M 648
25.0%
B 648
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5382
33.2%
2 2574
15.9%
4 1522
 
9.4%
5 1489
 
9.2%
3 1101
 
6.8%
1 791
 
4.9%
P 648
 
4.0%
H 648
 
4.0%
M 648
 
4.0%
B 648
 
4.0%
Other values (4) 749
 
4.6%

인허가일자
Real number (ℝ)

Distinct585
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20133865
Minimum19841217
Maximum20210823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:27.366105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841217
5-th percentile20001111
Q120100117
median20150258
Q320200102
95-th percentile20210222
Maximum20210823
Range369606
Interquartile range (IQR)99984.75

Descriptive statistics

Standard deviation68845.19
Coefficient of variation (CV)0.0034193728
Kurtosis1.7388061
Mean20133865
Median Absolute Deviation (MAD)50041.5
Skewness-1.2004683
Sum1.3046744 × 1010
Variance4.7396602 × 109
MonotonicityNot monotonic
2023-12-11T03:52:27.683234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200421 5
 
0.8%
20200310 3
 
0.5%
20210126 3
 
0.5%
20090521 3
 
0.5%
20200828 3
 
0.5%
20201223 3
 
0.5%
20100118 3
 
0.5%
20160704 2
 
0.3%
20120704 2
 
0.3%
20200102 2
 
0.3%
Other values (575) 619
95.5%
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 (%)
20210823 1
0.2%
20210818 1
0.2%
20210812 1
0.2%
20210719 1
0.2%
20210708 1
0.2%
20210707 1
0.2%
20210624 1
0.2%
20210623 1
0.2%
20210621 1
0.2%
20210611 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing648
Missing (%)100.0%
Memory size5.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
1
436 
3
203 
4
 
7
2
 
2

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 (%)
1 436
67.3%
3 203
31.3%
4 7
 
1.1%
2 2
 
0.3%

Length

2023-12-11T03:52:28.055780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:28.243950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 436
67.3%
3 203
31.3%
4 7
 
1.1%
2 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
영업/정상
436 
폐업
203 
취소/말소/만료/정지/중지
 
7
휴업
 
2

Length

Max length14
Median length5
Mean length4.1481481
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 436
67.3%
폐업 203
31.3%
취소/말소/만료/정지/중지 7
 
1.1%
휴업 2
 
0.3%

Length

2023-12-11T03:52:28.455901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:28.665661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 436
67.3%
폐업 203
31.3%
취소/말소/만료/정지/중지 7
 
1.1%
휴업 2
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
13
436 
3
203 
24
 
7
2
 
2

Length

Max length2
Median length2
Mean length1.683642
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 436
67.3%
3 203
31.3%
24 7
 
1.1%
2 2
 
0.3%

Length

2023-12-11T03:52:28.856115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:29.030959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 436
67.3%
3 203
31.3%
24 7
 
1.1%
2 2
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
영업중
436 
폐업
203 
직권폐업
 
7
휴업
 
2

Length

Max length4
Median length3
Mean length2.6944444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 436
67.3%
폐업 203
31.3%
직권폐업 7
 
1.1%
휴업 2
 
0.3%

Length

2023-12-11T03:52:29.233440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:29.440799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 436
67.3%
폐업 203
31.3%
직권폐업 7
 
1.1%
휴업 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct201
Distinct (%)95.7%
Missing438
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean20152716
Minimum20081010
Maximum20210719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:29.653443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081010
5-th percentile20100212
Q120120942
median20151220
Q320180709
95-th percentile20210117
Maximum20210719
Range129709
Interquartile range (IQR)59767

Descriptive statistics

Standard deviation35313.673
Coefficient of variation (CV)0.0017523034
Kurtosis-1.1313229
Mean20152716
Median Absolute Deviation (MAD)29989
Skewness-0.038620014
Sum4.2320703 × 109
Variance1.2470555 × 109
MonotonicityNot monotonic
2023-12-11T03:52:29.889963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121231 3
 
0.5%
20130809 2
 
0.3%
20210615 2
 
0.3%
20150526 2
 
0.3%
20100525 2
 
0.3%
20140109 2
 
0.3%
20201216 2
 
0.3%
20130222 2
 
0.3%
20161121 1
 
0.2%
20100218 1
 
0.2%
Other values (191) 191
29.5%
(Missing) 438
67.6%
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 (%)
20210719 1
0.2%
20210623 1
0.2%
20210615 2
0.3%
20210607 1
0.2%
20210527 1
0.2%
20210317 1
0.2%
20210216 1
0.2%
20210126 1
0.2%
20210122 1
0.2%
20210120 1
0.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
646 
20170311
 
1
20210719
 
1

Length

Max length8
Median length4
Mean length4.0123457
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 646
99.7%
20170311 1
 
0.2%
20210719 1
 
0.2%

Length

2023-12-11T03:52:30.170159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:30.374217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 646
99.7%
20170311 1
 
0.2%
20210719 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
646 
20200310
 
1
20220718
 
1

Length

Max length8
Median length4
Mean length4.0123457
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 646
99.7%
20200310 1
 
0.2%
20220718 1
 
0.2%

Length

2023-12-11T03:52:30.566296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:30.751255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 646
99.7%
20200310 1
 
0.2%
20220718 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing648
Missing (%)100.0%
Memory size5.8 KiB

소재지전화
Text

MISSING 

Distinct413
Distinct (%)95.6%
Missing216
Missing (%)33.3%
Memory size5.2 KiB
2023-12-11T03:52:31.168455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.62963
Min length7

Characters and Unicode

Total characters4592
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

Unique394 ?
Unique (%)91.2%

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%
1899-1955 2
 
0.5%
053-631-3225 2
 
0.5%
257-8119 2
 
0.5%
784-6080 2
 
0.5%
053-961-0376 2
 
0.5%
053-593-8202 2
 
0.5%
744-3910 2
 
0.5%
741-5110 2
 
0.5%
053-326-9398 2
 
0.5%
Other values (403) 412
95.4%
2023-12-11T03:52:31.857416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 677
14.7%
- 672
14.6%
3 542
11.8%
0 541
11.8%
2 369
8.0%
6 346
7.5%
7 331
7.2%
1 318
6.9%
4 291
6.3%
8 251
 
5.5%
Other values (5) 254
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3909
85.1%
Dash Punctuation 672
 
14.6%
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 (%)
5 677
17.3%
3 542
13.9%
0 541
13.8%
2 369
9.4%
6 346
8.9%
7 331
8.5%
1 318
8.1%
4 291
7.4%
8 251
 
6.4%
9 243
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 672
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 4592
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 677
14.7%
- 672
14.6%
3 542
11.8%
0 541
11.8%
2 369
8.0%
6 346
7.5%
7 331
7.2%
1 318
6.9%
4 291
6.3%
8 251
 
5.5%
Other values (5) 254
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 677
14.7%
- 672
14.6%
3 542
11.8%
0 541
11.8%
2 369
8.0%
6 346
7.5%
7 331
7.2%
1 318
6.9%
4 291
6.3%
8 251
 
5.5%
Other values (5) 254
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing648
Missing (%)100.0%
Memory size5.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)74.2%
Missing415
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean695420.2
Minimum41230
Maximum711844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:32.076344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41230
5-th percentile700428.2
Q1701847
median703806
Q3705829
95-th percentile706838.4
Maximum711844
Range670614
Interquartile range (IQR)3982

Descriptive statistics

Standard deviation74829.086
Coefficient of variation (CV)0.10760269
Kurtosis74.134781
Mean695420.2
Median Absolute Deviation (MAD)1962
Skewness-8.684344
Sum1.6203291 × 108
Variance5.5993921 × 109
MonotonicityNot monotonic
2023-12-11T03:52:32.289580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702072 4
 
0.6%
706010 4
 
0.6%
706032 3
 
0.5%
703064 3
 
0.5%
702808 3
 
0.5%
701848 3
 
0.5%
701810 3
 
0.5%
701849 3
 
0.5%
706040 3
 
0.5%
701811 3
 
0.5%
Other values (163) 201
31.0%
(Missing) 415
64.0%
ValueCountFrequency (%)
41230 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%
700424 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
0.3%
706913 1
0.2%
706852 2
0.3%
706844 1
0.2%
706839 1
0.2%

소재지전체주소
Text

MISSING 

Distinct401
Distinct (%)69.6%
Missing72
Missing (%)11.1%
Memory size5.2 KiB
2023-12-11T03:52:32.643265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length23.126736
Min length12

Characters and Unicode

Total characters13321
Distinct characters204
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

Unique304 ?
Unique (%)52.8%

Sample

1st row대구광역시 중구 동인동*가 ***번지 ***호
2nd row대구광역시 중구 남산*동 ****번지 *호
3rd row대구광역시 중구 대봉*동 **번지 **호 선모빌딩 *층
4th row대구광역시 중구 남산동 ****번지 **호
5th row대구광역시 중구 남성로 **번지
ValueCountFrequency (%)
대구광역시 576
19.7%
번지 459
15.7%
호 425
14.5%
달서구 140
 
4.8%
116
 
4.0%
동구 98
 
3.4%
수성구 93
 
3.2%
북구 88
 
3.0%
층 64
 
2.2%
서구 50
 
1.7%
Other values (227) 815
27.9%
2023-12-11T03:52:33.276719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2849
21.4%
2357
17.7%
구 1150
 
8.6%
동 692
 
5.2%
대 628
 
4.7%
시 587
 
4.4%
광 579
 
4.3%
역 577
 
4.3%
지 501
 
3.8%
번 459
 
3.4%
Other values (194) 2942
22.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7986
60.0%
Other Punctuation 2853
 
21.4%
Space Separator 2357
 
17.7%
Dash Punctuation 97
 
0.7%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1150
14.4%
동 692
 
8.7%
대 628
 
7.9%
시 587
 
7.4%
광 579
 
7.3%
역 577
 
7.2%
지 501
 
6.3%
번 459
 
5.7%
호 451
 
5.6%
서 205
 
2.6%
Other values (185) 2157
27.0%
Other Punctuation
ValueCountFrequency (%)
* 2849
99.9%
, 3
 
0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2357
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7986
60.0%
Common 5333
40.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1150
14.4%
동 692
 
8.7%
대 628
 
7.9%
시 587
 
7.4%
광 579
 
7.3%
역 577
 
7.2%
지 501
 
6.3%
번 459
 
5.7%
호 451
 
5.6%
서 205
 
2.6%
Other values (185) 2157
27.0%
Common
ValueCountFrequency (%)
* 2849
53.4%
2357
44.2%
- 97
 
1.8%
) 13
 
0.2%
( 13
 
0.2%
, 3
 
0.1%
. 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7986
60.0%
ASCII 5335
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2849
53.4%
2357
44.2%
- 97
 
1.8%
) 13
 
0.2%
( 13
 
0.2%
, 3
 
0.1%
e 1
 
< 0.1%
B 1
 
< 0.1%
. 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 1150
14.4%
동 692
 
8.7%
대 628
 
7.9%
시 587
 
7.4%
광 579
 
7.3%
역 577
 
7.2%
지 501
 
6.3%
번 459
 
5.7%
호 451
 
5.6%
서 205
 
2.6%
Other values (185) 2157
27.0%

도로명전체주소
Text

Distinct569
Distinct (%)88.1%
Missing2
Missing (%)0.3%
Memory size5.2 KiB
2023-12-11T03:52:33.720859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length28.25387
Min length20

Characters and Unicode

Total characters18252
Distinct characters259
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

Unique505 ?
Unique (%)78.2%

Sample

1st row대구광역시 중구 중앙대로 *** (남산동)
2nd row대구광역시 중구 달구벌대로 **** (남산동)
3rd row대구광역시 중구 국채보상로***길 ** (동인동*가)
4th row대구광역시 중구 남산로*길 ** (남산동)
5th row대구광역시 중구 동덕로 ** (대봉동,선모빌딩 *층)
ValueCountFrequency (%)
648
17.2%
대구광역시 646
17.1%
층 284
 
7.5%
달서구 144
 
3.8%
동구 121
 
3.2%
수성구 107
 
2.8%
호 94
 
2.5%
북구 89
 
2.4%
남구 54
 
1.4%
서구 51
 
1.4%
Other values (519) 1539
40.7%
2023-12-11T03:52:34.453092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3155
17.3%
* 2878
15.8%
구 1334
 
7.3%
동 876
 
4.8%
대 795
 
4.4%
시 662
 
3.6%
광 648
 
3.6%
역 647
 
3.5%
( 623
 
3.4%
) 623
 
3.4%
Other values (249) 6011
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10427
57.1%
Other Punctuation 3289
 
18.0%
Space Separator 3155
 
17.3%
Open Punctuation 623
 
3.4%
Close Punctuation 623
 
3.4%
Dash Punctuation 128
 
0.7%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1334
 
12.8%
동 876
 
8.4%
대 795
 
7.6%
시 662
 
6.3%
광 648
 
6.2%
역 647
 
6.2%
로 610
 
5.9%
길 362
 
3.5%
층 315
 
3.0%
서 254
 
2.4%
Other values (238) 3924
37.6%
Other Punctuation
ValueCountFrequency (%)
* 2878
87.5%
, 410
 
12.5%
. 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
C 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 623
100.0%
Close Punctuation
ValueCountFrequency (%)
) 623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10427
57.1%
Common 7818
42.8%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1334
 
12.8%
동 876
 
8.4%
대 795
 
7.6%
시 662
 
6.3%
광 648
 
6.2%
역 647
 
6.2%
로 610
 
5.9%
길 362
 
3.5%
층 315
 
3.0%
서 254
 
2.4%
Other values (238) 3924
37.6%
Common
ValueCountFrequency (%)
3155
40.4%
* 2878
36.8%
( 623
 
8.0%
) 623
 
8.0%
, 410
 
5.2%
- 128
 
1.6%
. 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 3
42.9%
e 2
28.6%
A 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10427
57.1%
ASCII 7825
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3155
40.3%
* 2878
36.8%
( 623
 
8.0%
) 623
 
8.0%
, 410
 
5.2%
- 128
 
1.6%
B 3
 
< 0.1%
e 2
 
< 0.1%
. 1
 
< 0.1%
A 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 1334
 
12.8%
동 876
 
8.4%
대 795
 
7.6%
시 662
 
6.3%
광 648
 
6.2%
역 647
 
6.2%
로 610
 
5.9%
길 362
 
3.5%
층 315
 
3.0%
서 254
 
2.4%
Other values (238) 3924
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct423
Distinct (%)70.7%
Missing50
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean108481.6
Minimum41007
Maximum711702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:34.675789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41108.8
Q141524.75
median42163.5
Q342702
95-th percentile704342.35
Maximum711702
Range670695
Interquartile range (IQR)1177.25

Descriptive statistics

Standard deviation199166.59
Coefficient of variation (CV)1.8359481
Kurtosis5.1314248
Mean108481.6
Median Absolute Deviation (MAD)590.5
Skewness2.667212
Sum64871999
Variance3.9667332 × 1010
MonotonicityNot monotonic
2023-12-11T03:52:34.920463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42679 6
 
0.9%
42471 5
 
0.8%
42819 5
 
0.8%
41078 4
 
0.6%
41196 4
 
0.6%
42795 3
 
0.5%
42629 3
 
0.5%
42665 3
 
0.5%
41537 3
 
0.5%
41465 3
 
0.5%
Other values (413) 559
86.3%
(Missing) 50
 
7.7%
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

Distinct608
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-11T03:52:35.224264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length7.4228395
Min length2

Characters and Unicode

Total characters4810
Distinct characters403
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

Unique577 ?
Unique (%)89.0%

Sample

1st row설악경호
2nd row(주)유 대구지사
3rd row(주)청담씨엔에스
4th row지에스환경
5th row(사)한국지체장애인협회
ValueCountFrequency (%)
주식회사 41
 
5.3%
주 5
 
0.6%
종합관리 4
 
0.5%
청쿰방역공사 4
 
0.5%
한국방제공사 4
 
0.5%
세기위생방역 4
 
0.5%
한일종합방역공사 3
 
0.4%
그린방역 3
 
0.4%
대구지사 3
 
0.4%
솔루션 3
 
0.4%
Other values (649) 696
90.4%
2023-12-11T03:52:35.748981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 274
 
5.7%
) 236
 
4.9%
( 234
 
4.9%
스 132
 
2.7%
사 124
 
2.6%
122
 
2.5%
역 106
 
2.2%
방 100
 
2.1%
대 97
 
2.0%
리 89
 
1.9%
Other values (393) 3296
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4050
84.2%
Close Punctuation 236
 
4.9%
Open Punctuation 234
 
4.9%
Space Separator 122
 
2.5%
Uppercase Letter 103
 
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 274
 
6.8%
스 132
 
3.3%
사 124
 
3.1%
역 106
 
2.6%
방 100
 
2.5%
대 97
 
2.4%
리 89
 
2.2%
경 84
 
2.1%
에 83
 
2.0%
합 82
 
2.0%
Other values (344) 2879
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 17
16.5%
E 15
14.6%
N 11
10.7%
C 10
9.7%
O 7
6.8%
G 6
 
5.8%
K 6
 
5.8%
Z 6
 
5.8%
M 5
 
4.9%
L 3
 
2.9%
Other values (13) 17
16.5%
Lowercase Letter
ValueCountFrequency (%)
e 10
25.6%
n 5
12.8%
a 5
12.8%
o 4
 
10.3%
c 3
 
7.7%
l 2
 
5.1%
r 2
 
5.1%
f 2
 
5.1%
b 1
 
2.6%
s 1
 
2.6%
Other values (4) 4
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 7
38.9%
9 3
16.7%
3 3
16.7%
6 2
 
11.1%
5 2
 
11.1%
0 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
, 3
37.5%
. 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 234
100.0%
Space Separator
ValueCountFrequency (%)
122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4050
84.2%
Common 618
 
12.8%
Latin 142
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 274
 
6.8%
스 132
 
3.3%
사 124
 
3.1%
역 106
 
2.6%
방 100
 
2.5%
대 97
 
2.4%
리 89
 
2.2%
경 84
 
2.1%
에 83
 
2.0%
합 82
 
2.0%
Other values (344) 2879
71.1%
Latin
ValueCountFrequency (%)
S 17
 
12.0%
E 15
 
10.6%
N 11
 
7.7%
e 10
 
7.0%
C 10
 
7.0%
O 7
 
4.9%
G 6
 
4.2%
K 6
 
4.2%
Z 6
 
4.2%
M 5
 
3.5%
Other values (27) 49
34.5%
Common
ValueCountFrequency (%)
) 236
38.2%
( 234
37.9%
122
19.7%
1 7
 
1.1%
& 4
 
0.6%
, 3
 
0.5%
9 3
 
0.5%
3 3
 
0.5%
6 2
 
0.3%
5 2
 
0.3%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4050
84.2%
ASCII 760
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 274
 
6.8%
스 132
 
3.3%
사 124
 
3.1%
역 106
 
2.6%
방 100
 
2.5%
대 97
 
2.4%
리 89
 
2.2%
경 84
 
2.1%
에 83
 
2.0%
합 82
 
2.0%
Other values (344) 2879
71.1%
ASCII
ValueCountFrequency (%)
) 236
31.1%
( 234
30.8%
122
16.1%
S 17
 
2.2%
E 15
 
2.0%
N 11
 
1.4%
e 10
 
1.3%
C 10
 
1.3%
O 7
 
0.9%
1 7
 
0.9%
Other values (39) 91
 
12.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct648
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.017852 × 1013
Minimum2.0081203 × 1013
Maximum2.0210824 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:35.964145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081203 × 1013
5-th percentile2.0111124 × 1013
Q12.0160585 × 1013
median2.0190512 × 1013
Q32.0200944 × 1013
95-th percentile2.0210607 × 1013
Maximum2.0210824 × 1013
Range1.2962092 × 1011
Interquartile range (IQR)4.0359267 × 1010

Descriptive statistics

Standard deviation3.1775372 × 1010
Coefficient of variation (CV)0.0015747127
Kurtosis-0.0063755037
Mean2.017852 × 1013
Median Absolute Deviation (MAD)1.9605984 × 1010
Skewness-1.0291275
Sum1.3075681 × 1016
Variance1.0096743 × 1021
MonotonicityNot monotonic
2023-12-11T03:52:36.238483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190222170714 1
 
0.2%
20140709173009 1
 
0.2%
20100129155507 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%
Other values (638) 638
98.5%
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 (%)
20210824095055 1
0.2%
20210818132215 1
0.2%
20210813110409 1
0.2%
20210813110318 1
0.2%
20210813105846 1
0.2%
20210812181423 1
0.2%
20210810142019 1
0.2%
20210806182526 1
0.2%
20210802114126 1
0.2%
20210730165640 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
I
400 
U
248 

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 400
61.7%
U 248
38.3%

Length

2023-12-11T03:52:36.468273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:36.632995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 400
61.7%
u 248
38.3%

데이터갱신일자
Date

Distinct302
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-08-26 00:22:50
2023-12-11T03:52:37.197834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:37.428826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing648
Missing (%)100.0%
Memory size5.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct581
Distinct (%)89.9%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean343460.87
Minimum327191.86
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:37.646469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327191.86
5-th percentile335986.83
Q1339970.31
median343372.29
Q3346714.66
95-th percentile352910.17
Maximum356698.37
Range29506.51
Interquartile range (IQR)6744.3531

Descriptive statistics

Standard deviation4914.9007
Coefficient of variation (CV)0.014309929
Kurtosis0.31136351
Mean343460.87
Median Absolute Deviation (MAD)3373.1867
Skewness0.15945374
Sum2.2187572 × 108
Variance24156249
MonotonicityNot monotonic
2023-12-11T03:52:37.903716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343199.085449 4
 
0.6%
342420.478177 3
 
0.5%
344791.930978 3
 
0.5%
341761.961791 3
 
0.5%
346496.248387 3
 
0.5%
340532.24011 3
 
0.5%
339726.534362 2
 
0.3%
341123.272081 2
 
0.3%
336652.545031 2
 
0.3%
355857.357218 2
 
0.3%
Other values (571) 619
95.5%
ValueCountFrequency (%)
327191.856602 1
0.2%
328723.884355 1
0.2%
330406.0 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)

Distinct580
Distinct (%)89.8%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean263252.71
Minimum240800.46
Maximum277860.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:38.181500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240800.46
5-th percentile257520.35
Q1261074.39
median263386.3
Q3265363.88
95-th percentile270572.46
Maximum277860.93
Range37060.467
Interquartile range (IQR)4289.4874

Descriptive statistics

Standard deviation4044.5606
Coefficient of variation (CV)0.015363795
Kurtosis4.6725374
Mean263252.71
Median Absolute Deviation (MAD)2175.9099
Skewness-0.67106619
Sum1.7006125 × 108
Variance16358471
MonotonicityNot monotonic
2023-12-11T03:52:38.419513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263950.695637 4
 
0.6%
264290.767739 3
 
0.5%
262769.73809 3
 
0.5%
260994.336598 3
 
0.5%
259658.906947 3
 
0.5%
261583.685645 3
 
0.5%
263429.773339 3
 
0.5%
266203.500174 2
 
0.3%
264360.640904 2
 
0.3%
260576.729655 2
 
0.3%
Other values (570) 618
95.4%
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%
252618.92058 1
0.2%
252984.61594 1
0.2%
254434.0 1
0.2%
ValueCountFrequency (%)
277860.926384 1
0.2%
274231.062512 1
0.2%
274164.908973 1
0.2%
273560.875554 1
0.2%
273548.124057 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 2
0.3%

사무실면적
Real number (ℝ)

MISSING  SKEWED 

Distinct387
Distinct (%)70.0%
Missing95
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean58.03906
Minimum0
Maximum4284
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:38.683886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.188
Q119.8
median35
Q360.36
95-th percentile146.32
Maximum4284
Range4284
Interquartile range (IQR)40.56

Descriptive statistics

Standard deviation187.09866
Coefficient of variation (CV)3.2236681
Kurtosis473.73009
Mean58.03906
Median Absolute Deviation (MAD)18
Skewness21.005894
Sum32095.6
Variance35005.91
MonotonicityNot monotonic
2023-12-11T03:52:38.949248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 13
 
2.0%
10.0 11
 
1.7%
20.0 9
 
1.4%
33.0 9
 
1.4%
35.0 6
 
0.9%
36.0 6
 
0.9%
99.0 5
 
0.8%
50.0 5
 
0.8%
0.0 5
 
0.8%
49.5 5
 
0.8%
Other values (377) 479
73.9%
(Missing) 95
 
14.7%
ValueCountFrequency (%)
0.0 5
0.8%
2.6 1
 
0.2%
3.3 1
 
0.2%
4.62 1
 
0.2%
5.0 2
 
0.3%
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%
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 

Distinct280
Distinct (%)51.9%
Missing108
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean22.961389
Minimum0
Maximum1776
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:39.222848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q17.725
median13
Q321.27
95-th percentile60.48
Maximum1776
Range1776
Interquartile range (IQR)13.545

Descriptive statistics

Standard deviation79.735034
Coefficient of variation (CV)3.4725702
Kurtosis435.61503
Mean22.961389
Median Absolute Deviation (MAD)6.275
Skewness19.928045
Sum12399.15
Variance6357.6756
MonotonicityNot monotonic
2023-12-11T03:52:39.502848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 26
 
4.0%
16.5 19
 
2.9%
9.9 15
 
2.3%
7.0 12
 
1.9%
15.0 11
 
1.7%
6.6 10
 
1.5%
13.2 10
 
1.5%
5.0 10
 
1.5%
6.0 10
 
1.5%
33.0 9
 
1.4%
Other values (270) 408
63.0%
(Missing) 108
 
16.7%
ValueCountFrequency (%)
0.0 5
0.8%
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%
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)

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1527778
Minimum0
Maximum12
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:39.718660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.65770314
Coefficient of variation (CV)0.57053766
Kurtosis122.57353
Mean1.1527778
Median Absolute Deviation (MAD)0
Skewness8.9828583
Sum747
Variance0.43257342
MonotonicityNot monotonic
2023-12-11T03:52:39.927728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 586
90.4%
2 40
 
6.2%
3 14
 
2.2%
4 4
 
0.6%
0 1
 
0.2%
12 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
0 1
 
0.2%
1 586
90.4%
2 40
 
6.2%
3 14
 
2.2%
4 4
 
0.6%
5 1
 
0.2%
6 1
 
0.2%
12 1
 
0.2%
ValueCountFrequency (%)
12 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
4 4
 
0.6%
3 14
 
2.2%
2 40
 
6.2%
1 586
90.4%
0 1
 
0.2%

휴대용소독기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2
629 
3
 
13
4
 
5
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 (%)
2 629
97.1%
3 13
 
2.0%
4 5
 
0.8%
7 1
 
0.2%

Length

2023-12-11T03:52:40.148926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:40.321554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 629
97.1%
3 13
 
2.0%
4 5
 
0.8%
7 1
 
0.2%

동력분무기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
329 
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 (%)
0 329
50.8%
1 312
48.1%
2 3
 
0.5%
3 3
 
0.5%
7 1
 
0.2%

Length

2023-12-11T03:52:40.513362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:40.752097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 329
50.8%
1 312
48.1%
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%
Mean4.3117284
Minimum3
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:40.961620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35
95-th percentile6.65
Maximum24
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8544532
Coefficient of variation (CV)0.43009509
Kurtosis37.139201
Mean4.3117284
Median Absolute Deviation (MAD)2
Skewness4.6217687
Sum2794
Variance3.4389967
MonotonicityNot monotonic
2023-12-11T03:52:41.179928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 300
46.3%
5 288
44.4%
4 14
 
2.2%
7 13
 
2.0%
6 13
 
2.0%
10 7
 
1.1%
8 6
 
0.9%
9 2
 
0.3%
20 2
 
0.3%
24 1
 
0.2%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
3 300
46.3%
4 14
 
2.2%
5 288
44.4%
6 13
 
2.0%
7 13
 
2.0%
8 6
 
0.9%
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 6
 
0.9%
7 13
 
2.0%
6 13
 
2.0%
5 288
44.4%

방독면수
Real number (ℝ)

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1003086
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:41.404265image/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 deviation0.80615862
Coefficient of variation (CV)0.15806075
Kurtosis194.34025
Mean5.1003086
Median Absolute Deviation (MAD)0
Skewness12.36897
Sum3305
Variance0.64989171
MonotonicityNot monotonic
2023-12-11T03:52:41.682922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 630
97.2%
10 7
 
1.1%
6 6
 
0.9%
7 3
 
0.5%
8 1
 
0.2%
20 1
 
0.2%
ValueCountFrequency (%)
5 630
97.2%
6 6
 
0.9%
7 3
 
0.5%
8 1
 
0.2%
10 7
 
1.1%
20 1
 
0.2%
ValueCountFrequency (%)
20 1
 
0.2%
10 7
 
1.1%
8 1
 
0.2%
7 3
 
0.5%
6 6
 
0.9%
5 630
97.2%

보호안경수
Real number (ℝ)

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1358025
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:41.973992image/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 deviation1.0282331
Coefficient of variation (CV)0.20020885
Kurtosis140.38986
Mean5.1358025
Median Absolute Deviation (MAD)0
Skewness10.892448
Sum3328
Variance1.0572633
MonotonicityNot monotonic
2023-12-11T03:52:42.279842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 627
96.8%
10 9
 
1.4%
6 8
 
1.2%
20 2
 
0.3%
7 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
5 627
96.8%
6 8
 
1.2%
7 1
 
0.2%
8 1
 
0.2%
10 9
 
1.4%
20 2
 
0.3%
ValueCountFrequency (%)
20 2
 
0.3%
10 9
 
1.4%
8 1
 
0.2%
7 1
 
0.2%
6 8
 
1.2%
5 627
96.8%

보호용의복수
Real number (ℝ)

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4552469
Minimum5
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T03:52:42.479366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.9253204
Coefficient of variation (CV)0.53623978
Kurtosis204.10654
Mean5.4552469
Median Absolute Deviation (MAD)0
Skewness12.661593
Sum3535
Variance8.5574995
MonotonicityNot monotonic
2023-12-11T03:52:42.664968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 603
93.1%
10 19
 
2.9%
6 8
 
1.2%
7 5
 
0.8%
8 4
 
0.6%
9 2
 
0.3%
20 2
 
0.3%
15 1
 
0.2%
30 1
 
0.2%
29 1
 
0.2%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
5 603
93.1%
6 8
 
1.2%
7 5
 
0.8%
8 4
 
0.6%
9 2
 
0.3%
10 19
 
2.9%
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
2.9%
9 2
 
0.3%
8 4
 
0.6%
7 5
 
0.8%

진공청소기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
1
590 
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 (%)
1 590
91.0%
2 34
 
5.2%
3 12
 
1.9%
5 9
 
1.4%
4 3
 
0.5%

Length

2023-12-11T03:52:42.902444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:43.058803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 590
91.0%
2 34
 
5.2%
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 *** (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 **** (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 동인동*가 ***번지 ***호대구광역시 중구 국채보상로***길 ** (동인동*가)<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 남산*동 ****번지 *호대구광역시 중구 남산로*길 ** (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 대봉*동 **번지 **호 선모빌딩 *층대구광역시 중구 동덕로 ** (대봉동,선모빌딩 *층)<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 ****번지 **호대구광역시 중구 남산로 ** (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 **번지대구광역시 중구 남성로 *-* (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 계산동*가 ***번지 *호대구광역시 중구 약령길 ** (계산동*가)<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 **번지대구광역시 중구 남성로 *-*, *층 (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 *** (봉산동)41959세상을 가꾸는 사람들20160613142448I2018-08-31 23:59:59.0<NA>344369.591099263706.006969<NA><NA>12155551
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
638639소독업09_30_11_P3480000PHMB52021348001204250000220210324<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 가창로 ****-*42936(주)팔봉산업관리20210331114547U2021-04-02 02:40:00.0<NA>346985.0256303.045.262.7120351051
639640소독업09_30_11_P3480000PHMB52018348001204250000120180117<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-7484<NA><NA>대구광역시 달성군 화원읍 명곡리 ***번지 명곡미래빌*단지대구광역시 달성군 화원읍 화암로 **, 명곡미래빌*단지 상가동 *층 ***호42959주식회사 와이엔티20180120163256I2018-08-31 23:59:59.0<NA>335371.838542256357.15297210.015.012035551
640641소독업09_30_11_P3480000PHMB52005348001204250000120050111<NA>1영업/정상13영업중<NA><NA><NA><NA>053-643-2377<NA>711834대구광역시 달성군 화원읍 천내리 ***번지 *호대구광역시 달성군 화원읍 성천로 ***42948금창환경20190723110115U2019-07-25 02:40:00.0<NA>335023.196036257280.68429829.5815.9512155551
641642소독업09_30_11_P3480000PHMB52009348001204250000120091221<NA>1영업/정상13영업중<NA><NA><NA><NA>053)639-6974<NA>711838대구광역시 달성군 화원읍 본리리 **번지 *호대구광역시 달성군 화원읍 성암로 **-**42966천내청소방역20201110154004U2020-11-12 02:40:00.0<NA>336309.096814256773.09881611.817.412155551
642643소독업09_30_11_P3480000PHMB52013348001204250000120130121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 ***번지 **통대구광역시 달성군 현풍읍 현풍중앙로**길 **42999(주)나눔과행복20210415134359U2021-04-17 02:40:00.0<NA>330567.11783245096.1146230.012.012155551
643644소독업09_30_11_P3480000PHMB52013348001204250000220130204<NA>1영업/정상13영업중<NA><NA><NA><NA>637-0108<NA><NA>대구광역시 달성군 논공읍 노이리 ****번지 *호대구광역시 달성군 논공읍 노이*길 **42975성강건설(주)20190115193919U2019-01-17 02:40:00.0<NA>328723.884355252618.9205860.0216.012135552
644645소독업09_30_11_P3480000PHMB52016348001204250000120160411<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-8961<NA><NA>대구광역시 달성군 옥포읍 교항리 ****번지대구광역시 달성군 옥포읍 돌미로 **, *층 ***호42974세스코 대구남부지사20191224173442U2019-12-26 02:40:00.0<NA>330406.0254434.0178.098.022055551
645646소독업09_30_11_P3480000PHMB52017348001204250000120170221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 ***번지 *호대구광역시 달성군 화원읍 성화로 **42946(주)청소이야기20210315133927U2021-03-17 02:40:00.0<NA>334498.15167256709.0559730.293.312035551
646647소독업09_30_11_P3480000PHMB52020348001204250001020201223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 명천로 ***42957방역의 민족20210201175122U2021-02-03 02:40:00.0<NA>334378.389849256125.0032545.06.612035551
647648소독업09_30_11_P3480000PHMB52007348001204250000120071011<NA>3폐업3폐업20100203<NA><NA><NA><NA><NA>711702대구광역시 달성군 가창면 용계리 ***번지 가창중석타운 상가동 ***호대구광역시 달성군 가창면 가창로 ****711702제로페스20130426142908I2018-08-31 23:59:59.0<NA>347065.258082256293.42466423.3220.1312155551