Overview

Dataset statistics

Number of variables38
Number of observations649
Missing cells3999
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory209.9 KiB
Average record size in memory331.2 B

Variable types

Numeric16
Categorical12
Text5
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_09_30_11_P_소독업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091673&dataSetDetailId=DDI_0000091707&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 649 (100.0%) missing valuesMissing
폐업일자 has 438 (67.5%) missing valuesMissing
재개업일자 has 649 (100.0%) missing valuesMissing
소재지전화 has 217 (33.4%) missing valuesMissing
소재지면적 has 649 (100.0%) missing valuesMissing
소재지우편번호 has 416 (64.1%) missing valuesMissing
소재지전체주소 has 73 (11.2%) missing valuesMissing
도로명우편번호 has 50 (7.7%) missing valuesMissing
업태구분명 has 649 (100.0%) missing valuesMissing
사무실면적 has 95 (14.6%) missing valuesMissing
소독차량차고면적 has 108 (16.6%) missing valuesMissing
사무실면적 is highly skewed (γ1 = 21.02462106)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 20:50:03.998070
Analysis finished2023-12-10 20:50:05.095955
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct649
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean325
Minimum1
Maximum649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:05.232395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.4
Q1163
median325
Q3487
95-th percentile616.6
Maximum649
Range648
Interquartile range (IQR)324

Descriptive statistics

Standard deviation187.49444
Coefficient of variation (CV)0.57690598
Kurtosis-1.2
Mean325
Median Absolute Deviation (MAD)162
Skewness0
Sum210925
Variance35154.167
MonotonicityStrictly increasing
2023-12-11T05:50:05.505105image/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 (639) 639
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 (%)
649 1
0.2%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
소독업
649 

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 649
100.0%

Length

2023-12-11T05:50:05.755934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:05.922517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소독업 649
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
09_30_11_P
649 

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 649
100.0%

Length

2023-12-11T05:50:06.083465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:06.240075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_11_p 649
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446332.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:06.382217image/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 deviation21583.605
Coefficient of variation (CV)0.0062627745
Kurtosis-1.3198139
Mean3446332.8
Median Absolute Deviation (MAD)20000
Skewness-0.23908189
Sum2.23667 × 109
Variance4.6585202 × 108
MonotonicityIncreasing
2023-12-11T05:50:06.578872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 145
22.3%
3420000 122
18.8%
3460000 108
16.6%
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
16.6%
3470000 145
22.3%
3480000 29
 
4.5%
ValueCountFrequency (%)
3480000 29
 
4.5%
3470000 145
22.3%
3460000 108
16.6%
3450000 89
13.7%
3440000 55
 
8.5%
3430000 51
 
7.9%
3420000 122
18.8%
3410000 50
 
7.7%

관리번호
Text

UNIQUE 

Distinct649
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-11T05:50:06.917665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters16225
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

Unique649 ?
Unique (%)100.0%

Sample

1st rowPHMB520173410023042500003
2nd rowPHMB520183410023042500002
3rd rowPHMB520213410023042500005
4th rowPHMB520113410023042500002
5th rowPHMB520113410023042500003
ValueCountFrequency (%)
phmb520173410023042500003 1
 
0.2%
phmb520113460023042500004 1
 
0.2%
phmb519943460023042500002 1
 
0.2%
phmb519993460023042500001 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%
Other values (639) 639
98.5%
2023-12-11T05:50:07.438820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5389
33.2%
2 2580
15.9%
4 1524
 
9.4%
5 1491
 
9.2%
3 1101
 
6.8%
1 793
 
4.9%
P 649
 
4.0%
H 649
 
4.0%
M 649
 
4.0%
B 649
 
4.0%
Other values (4) 751
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13629
84.0%
Uppercase Letter 2596
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5389
39.5%
2 2580
18.9%
4 1524
 
11.2%
5 1491
 
10.9%
3 1101
 
8.1%
1 793
 
5.8%
7 229
 
1.7%
6 218
 
1.6%
9 193
 
1.4%
8 111
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 649
25.0%
H 649
25.0%
M 649
25.0%
B 649
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13629
84.0%
Latin 2596
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5389
39.5%
2 2580
18.9%
4 1524
 
11.2%
5 1491
 
10.9%
3 1101
 
8.1%
1 793
 
5.8%
7 229
 
1.7%
6 218
 
1.6%
9 193
 
1.4%
8 111
 
0.8%
Latin
ValueCountFrequency (%)
P 649
25.0%
H 649
25.0%
M 649
25.0%
B 649
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5389
33.2%
2 2580
15.9%
4 1524
 
9.4%
5 1491
 
9.2%
3 1101
 
6.8%
1 793
 
4.9%
P 649
 
4.0%
H 649
 
4.0%
M 649
 
4.0%
B 649
 
4.0%
Other values (4) 751
 
4.6%

인허가일자
Real number (ℝ)

Distinct586
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20133983
Minimum19841217
Maximum20210928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:07.684454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841217
5-th percentile20001111
Q120100118
median20150305
Q320200102
95-th percentile20210271
Maximum20210928
Range369711
Interquartile range (IQR)99984

Descriptive statistics

Standard deviation68858.525
Coefficient of variation (CV)0.003420015
Kurtosis1.7385108
Mean20133983
Median Absolute Deviation (MAD)50002
Skewness-1.2009332
Sum1.3066955 × 1010
Variance4.7414965 × 109
MonotonicityNot monotonic
2023-12-11T05:50:07.899831image/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%
20200828 3
 
0.5%
20090521 3
 
0.5%
20201223 3
 
0.5%
20100118 3
 
0.5%
20160704 2
 
0.3%
20110603 2
 
0.3%
20120704 2
 
0.3%
Other values (576) 620
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 (%)
20210928 1
0.2%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing649
Missing (%)100.0%
Memory size5.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
1
436 
3
204 
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
67.2%
3 204
31.4%
4 7
 
1.1%
2 2
 
0.3%

Length

2023-12-11T05:50:08.095417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:08.251947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 436
67.2%
3 204
31.4%
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
204 
취소/말소/만료/정지/중지
 
7
휴업
 
2

Length

Max length14
Median length5
Mean length4.1448382
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
67.2%
폐업 204
31.4%
취소/말소/만료/정지/중지 7
 
1.1%
휴업 2
 
0.3%

Length

2023-12-11T05:50:08.413002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:08.563820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 436
67.2%
폐업 204
31.4%
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
204 
24
 
7
2
 
2

Length

Max length2
Median length2
Mean length1.6825886
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 436
67.2%
3 204
31.4%
24 7
 
1.1%
2 2
 
0.3%

Length

2023-12-11T05:50:09.014750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:09.174455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 436
67.2%
3 204
31.4%
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
204 
직권폐업
 
7
휴업
 
2

Length

Max length4
Median length3
Mean length2.6933744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 436
67.2%
폐업 204
31.4%
직권폐업 7
 
1.1%
휴업 2
 
0.3%

Length

2023-12-11T05:50:09.316315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:09.459632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 436
67.2%
폐업 204
31.4%
직권폐업 7
 
1.1%
휴업 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct202
Distinct (%)95.7%
Missing438
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean20152992
Minimum20081010
Maximum20210907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:09.668714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081010
5-th percentile20100213
Q120120970
median20151222
Q320180763
95-th percentile20210121
Maximum20210907
Range129897
Interquartile range (IQR)59793.5

Descriptive statistics

Standard deviation35456.53
Coefficient of variation (CV)0.0017593681
Kurtosis-1.1345083
Mean20152992
Median Absolute Deviation (MAD)29991
Skewness-0.040277998
Sum4.2522812 × 109
Variance1.2571655 × 109
MonotonicityNot monotonic
2023-12-11T05:50:09.909708image/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%
20210615 2
 
0.3%
20190207 1
 
0.2%
20120210 1
 
0.2%
Other values (192) 192
29.6%
(Missing) 438
67.5%
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 (%)
20210907 1
0.2%
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%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
647 
20170311
 
1
20210719
 
1

Length

Max length8
Median length4
Mean length4.0123267
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> 647
99.7%
20170311 1
 
0.2%
20210719 1
 
0.2%

Length

2023-12-11T05:50:10.131142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:10.293932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 647
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>
647 
20200310
 
1
20220718
 
1

Length

Max length8
Median length4
Mean length4.0123267
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> 647
99.7%
20200310 1
 
0.2%
20220718 1
 
0.2%

Length

2023-12-11T05:50:10.464129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:10.622318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 647
99.7%
20200310 1
 
0.2%
20220718 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing649
Missing (%)100.0%
Memory size5.8 KiB

소재지전화
Text

MISSING 

Distinct413
Distinct (%)95.6%
Missing217
Missing (%)33.4%
Memory size5.2 KiB
2023-12-11T05:50:10.941455image/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 (%)
053-471-8090 2
 
0.5%
053-767-0408 2
 
0.5%
053-326-9398 2
 
0.5%
053-626-1230 2
 
0.5%
1899-1955 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%
784-6080 2
 
0.5%
Other values (403) 412
95.4%
2023-12-11T05:50:11.497575image/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 

Missing649
Missing (%)100.0%
Memory size5.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)74.2%
Missing416
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean695420.2
Minimum41230
Maximum711844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:11.670727image/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
2023-12-11T05:50:11.855691image/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) 416
64.1%
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%
Missing73
Missing (%)11.2%
Memory size5.2 KiB
2023-12-11T05:50:12.172294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length23.119792
Min length12

Characters and Unicode

Total characters13317
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

Unique304 ?
Unique (%)52.8%

Sample

1st row대구광역시 중구 수동 ** ***호
2nd row대구광역시 중구 동인동*가 ***번지 ***호
3rd row대구광역시 중구 남산*동 ****번지 *호
4th row대구광역시 중구 대봉*동 **번지 **호 선모빌딩 *층
5th row대구광역시 중구 남산동 ****번지 **호
ValueCountFrequency (%)
대구광역시 576
19.7%
번지 458
15.7%
호 424
14.5%
달서구 141
 
4.8%
117
 
4.0%
동구 98
 
3.4%
수성구 92
 
3.1%
북구 88
 
3.0%
층 64
 
2.2%
서구 50
 
1.7%
Other values (229) 817
27.9%
2023-12-11T05:50:12.689541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2849
21.4%
2358
17.7%
구 1150
 
8.6%
동 691
 
5.2%
대 628
 
4.7%
시 587
 
4.4%
광 579
 
4.3%
역 577
 
4.3%
지 499
 
3.7%
번 458
 
3.4%
Other values (197) 2941
22.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7982
59.9%
Other Punctuation 2853
 
21.4%
Space Separator 2358
 
17.7%
Dash Punctuation 98
 
0.7%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
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 691
 
8.7%
대 628
 
7.9%
시 587
 
7.4%
광 579
 
7.3%
역 577
 
7.2%
지 499
 
6.3%
번 458
 
5.7%
호 450
 
5.6%
서 206
 
2.6%
Other values (188) 2157
27.0%
Other Punctuation
ValueCountFrequency (%)
* 2849
99.9%
, 3
 
0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7982
59.9%
Common 5333
40.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1150
14.4%
동 691
 
8.7%
대 628
 
7.9%
시 587
 
7.4%
광 579
 
7.3%
역 577
 
7.2%
지 499
 
6.3%
번 458
 
5.7%
호 450
 
5.6%
서 206
 
2.6%
Other values (188) 2157
27.0%
Common
ValueCountFrequency (%)
* 2849
53.4%
2358
44.2%
- 98
 
1.8%
( 12
 
0.2%
) 12
 
0.2%
, 3
 
0.1%
. 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7982
59.9%
ASCII 5335
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2849
53.4%
2358
44.2%
- 98
 
1.8%
( 12
 
0.2%
) 12
 
0.2%
, 3
 
0.1%
e 1
 
< 0.1%
. 1
 
< 0.1%
B 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 1150
14.4%
동 691
 
8.7%
대 628
 
7.9%
시 587
 
7.4%
광 579
 
7.3%
역 577
 
7.2%
지 499
 
6.3%
번 458
 
5.7%
호 450
 
5.6%
서 206
 
2.6%
Other values (188) 2157
27.0%

도로명전체주소
Text

Distinct570
Distinct (%)88.1%
Missing2
Missing (%)0.3%
Memory size5.2 KiB
2023-12-11T05:50:13.180836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length28.255023
Min length20

Characters and Unicode

Total characters18281
Distinct characters262
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

Unique506 ?
Unique (%)78.2%

Sample

1st row대구광역시 중구 중앙대로 *** (남산동)
2nd row대구광역시 중구 달구벌대로 **** (남산동)
3rd row대구광역시 중구 약령길 **, *층 ***호 (수동)
4th row대구광역시 중구 국채보상로***길 ** (동인동*가)
5th row대구광역시 중구 남산로*길 ** (남산동)
ValueCountFrequency (%)
648
17.1%
대구광역시 647
17.1%
층 284
 
7.5%
달서구 145
 
3.8%
동구 121
 
3.2%
수성구 107
 
2.8%
호 95
 
2.5%
북구 89
 
2.4%
남구 54
 
1.4%
서구 51
 
1.3%
Other values (523) 1543
40.8%
2023-12-11T05:50:13.865561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3161
17.3%
* 2884
15.8%
구 1336
 
7.3%
동 876
 
4.8%
대 797
 
4.4%
시 663
 
3.6%
광 649
 
3.6%
역 648
 
3.5%
) 623
 
3.4%
( 623
 
3.4%
Other values (252) 6021
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10443
57.1%
Other Punctuation 3296
 
18.0%
Space Separator 3161
 
17.3%
Close Punctuation 623
 
3.4%
Open 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 1336
 
12.8%
동 876
 
8.4%
대 797
 
7.6%
시 663
 
6.3%
광 649
 
6.2%
역 648
 
6.2%
로 611
 
5.9%
길 363
 
3.5%
층 315
 
3.0%
서 256
 
2.5%
Other values (241) 3929
37.6%
Other Punctuation
ValueCountFrequency (%)
* 2884
87.5%
, 411
 
12.5%
. 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
C 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 623
100.0%
Open Punctuation
ValueCountFrequency (%)
( 623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10443
57.1%
Common 7831
42.8%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1336
 
12.8%
동 876
 
8.4%
대 797
 
7.6%
시 663
 
6.3%
광 649
 
6.2%
역 648
 
6.2%
로 611
 
5.9%
길 363
 
3.5%
층 315
 
3.0%
서 256
 
2.5%
Other values (241) 3929
37.6%
Common
ValueCountFrequency (%)
3161
40.4%
* 2884
36.8%
) 623
 
8.0%
( 623
 
8.0%
, 411
 
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 10443
57.1%
ASCII 7838
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3161
40.3%
* 2884
36.8%
) 623
 
7.9%
( 623
 
7.9%
, 411
 
5.2%
- 128
 
1.6%
B 3
 
< 0.1%
e 2
 
< 0.1%
. 1
 
< 0.1%
A 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 1336
 
12.8%
동 876
 
8.4%
대 797
 
7.6%
시 663
 
6.3%
광 649
 
6.2%
역 648
 
6.2%
로 611
 
5.9%
길 363
 
3.5%
층 315
 
3.0%
서 256
 
2.5%
Other values (241) 3929
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct423
Distinct (%)70.6%
Missing50
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean108371.31
Minimum41007
Maximum711702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:14.104085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41109.2
Q141527.5
median42162
Q342701
95-th percentile704341.9
Maximum711702
Range670695
Interquartile range (IQR)1173.5

Descriptive statistics

Standard deviation199018.31
Coefficient of variation (CV)1.8364484
Kurtosis5.1479345
Mean108371.31
Median Absolute Deviation (MAD)590
Skewness2.6703
Sum64914412
Variance3.9608286 × 1010
MonotonicityNot monotonic
2023-12-11T05:50:14.372126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42679 6
 
0.9%
42819 5
 
0.8%
42471 5
 
0.8%
41078 4
 
0.6%
41196 4
 
0.6%
42467 3
 
0.5%
41537 3
 
0.5%
41572 3
 
0.5%
41472 3
 
0.5%
41439 3
 
0.5%
Other values (413) 560
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

Distinct609
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-11T05:50:14.749371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length7.412943
Min length2

Characters and Unicode

Total characters4811
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

Unique578 ?
Unique (%)89.1%

Sample

1st row설악경호
2nd row(주)유 대구지사
3rd row벌레잡는총각들
4th row(주)청담씨엔에스
5th row지에스환경
ValueCountFrequency (%)
주식회사 42
 
5.4%
주 5
 
0.6%
세기위생방역 4
 
0.5%
종합관리 4
 
0.5%
청쿰방역공사 4
 
0.5%
한국방제공사 4
 
0.5%
더홈케어 3
 
0.4%
솔루션 3
 
0.4%
대구지사 3
 
0.4%
대구경북지사 3
 
0.4%
Other values (650) 697
90.3%
2023-12-11T05:50:15.345925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 275
 
5.7%
) 235
 
4.9%
( 233
 
4.8%
스 132
 
2.7%
사 124
 
2.6%
123
 
2.6%
역 106
 
2.2%
방 101
 
2.1%
대 97
 
2.0%
리 89
 
1.8%
Other values (393) 3296
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4052
84.2%
Close Punctuation 235
 
4.9%
Open Punctuation 233
 
4.8%
Space Separator 123
 
2.6%
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 275
 
6.8%
스 132
 
3.3%
사 124
 
3.1%
역 106
 
2.6%
방 101
 
2.5%
대 97
 
2.4%
리 89
 
2.2%
에 83
 
2.0%
경 83
 
2.0%
합 82
 
2.0%
Other values (344) 2880
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%
K 6
 
5.8%
G 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%
f 2
 
5.1%
r 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%
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 (%)
) 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Space Separator
ValueCountFrequency (%)
123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4052
84.2%
Common 617
 
12.8%
Latin 142
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 275
 
6.8%
스 132
 
3.3%
사 124
 
3.1%
역 106
 
2.6%
방 101
 
2.5%
대 97
 
2.4%
리 89
 
2.2%
에 83
 
2.0%
경 83
 
2.0%
합 82
 
2.0%
Other values (344) 2880
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%
K 6
 
4.2%
G 6
 
4.2%
Z 6
 
4.2%
M 5
 
3.5%
Other values (27) 49
34.5%
Common
ValueCountFrequency (%)
) 235
38.1%
( 233
37.8%
123
19.9%
1 7
 
1.1%
& 4
 
0.6%
9 3
 
0.5%
, 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 4052
84.2%
ASCII 759
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 275
 
6.8%
스 132
 
3.3%
사 124
 
3.1%
역 106
 
2.6%
방 101
 
2.5%
대 97
 
2.4%
리 89
 
2.2%
에 83
 
2.0%
경 83
 
2.0%
합 82
 
2.0%
Other values (344) 2880
71.1%
ASCII
ValueCountFrequency (%)
) 235
31.0%
( 233
30.7%
123
16.2%
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 

Distinct649
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0178602 × 1013
Minimum2.0081203 × 1013
Maximum2.0210929 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:15.631812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081203 × 1013
5-th percentile2.0111124 × 1013
Q12.0160603 × 1013
median2.0190514 × 1013
Q32.0201008 × 1013
95-th percentile2.0210615 × 1013
Maximum2.0210929 × 1013
Range1.2972593 × 1011
Interquartile range (IQR)4.0405023 × 1010

Descriptive statistics

Standard deviation3.1799434 × 1010
Coefficient of variation (CV)0.0015758988
Kurtosis-0.0059510934
Mean2.0178602 × 1013
Median Absolute Deviation (MAD)1.9606947 × 1010
Skewness-1.0296353
Sum1.3095913 × 1016
Variance1.011204 × 1021
MonotonicityNot monotonic
2023-12-11T05:50:16.045344image/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 (639) 639
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 (%)
20210929103249 1
0.2%
20210917105156 1
0.2%
20210913175659 1
0.2%
20210910131432 1
0.2%
20210907160841 1
0.2%
20210818132215 1
0.2%
20210813110409 1
0.2%
20210813110318 1
0.2%
20210813105846 1
0.2%
20210812181423 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
I
399 
U
250 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 399
61.5%
U 250
38.5%

Length

2023-12-11T05:50:16.549850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:16.797856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 399
61.5%
u 250
38.5%

데이터갱신일자
Date

Distinct304
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-10-01 00:22:48
2023-12-11T05:50:17.021548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:50:17.280434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing649
Missing (%)100.0%
Memory size5.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct582
Distinct (%)90.0%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean343446.09
Minimum327191.86
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:17.498236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327191.86
5-th percentile335839.97
Q1339961.66
median343372.29
Q3346706.31
95-th percentile352904.7
Maximum356698.37
Range29506.51
Interquartile range (IQR)6744.6494

Descriptive statistics

Standard deviation4923.041
Coefficient of variation (CV)0.014334247
Kurtosis0.30307657
Mean343446.09
Median Absolute Deviation (MAD)3377.7618
Skewness0.15752786
Sum2.2220962 × 108
Variance24236333
MonotonicityNot monotonic
2023-12-11T05:50:17.749783image/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%
338924.266944 2
 
0.3%
341123.272081 2
 
0.3%
341186.656319 2
 
0.3%
336652.545031 2
 
0.3%
Other values (572) 620
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)

Distinct581
Distinct (%)89.8%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean263261.03
Minimum240800.46
Maximum277860.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:18.009599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240800.46
5-th percentile257521.31
Q1261099.21
median263406.23
Q3265361.31
95-th percentile270571.97
Maximum277860.93
Range37060.467
Interquartile range (IQR)4262.0945

Descriptive statistics

Standard deviation4038.2177
Coefficient of variation (CV)0.015339216
Kurtosis4.7126755
Mean263261.03
Median Absolute Deviation (MAD)2165.3773
Skewness-0.67764483
Sum1.7032989 × 108
Variance16307203
MonotonicityNot monotonic
2023-12-11T05:50:18.274791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263950.695637 4
 
0.6%
259658.906947 3
 
0.5%
260994.336598 3
 
0.5%
261583.685645 3
 
0.5%
264290.767739 3
 
0.5%
262769.73809 3
 
0.5%
263429.773339 3
 
0.5%
261850.736266 2
 
0.3%
265215.39989 2
 
0.3%
266572.281587 2
 
0.3%
Other values (571) 619
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 (%)69.9%
Missing95
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean57.999278
Minimum0
Maximum4284
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:18.526883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.1895
Q119.8075
median35
Q360.345
95-th percentile146.18
Maximum4284
Range4284
Interquartile range (IQR)40.5375

Descriptive statistics

Standard deviation186.93177
Coefficient of variation (CV)3.2230016
Kurtosis474.57846
Mean57.999278
Median Absolute Deviation (MAD)18
Skewness21.024621
Sum32131.6
Variance34943.485
MonotonicityNot monotonic
2023-12-11T05:50:18.789194image/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%
36.0 7
 
1.1%
35.0 6
 
0.9%
99.0 5
 
0.8%
49.5 5
 
0.8%
0.0 5
 
0.8%
50.0 5
 
0.8%
Other values (377) 479
73.8%
(Missing) 95
 
14.6%
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 (%)51.8%
Missing108
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean22.925046
Minimum0
Maximum1776
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:19.040776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q17.5
median13
Q321.16
95-th percentile60.48
Maximum1776
Range1776
Interquartile range (IQR)13.66

Descriptive statistics

Standard deviation79.665656
Coefficient of variation (CV)3.4750489
Kurtosis436.35752
Mean22.925046
Median Absolute Deviation (MAD)6.28
Skewness19.944363
Sum12402.45
Variance6346.6167
MonotonicityNot monotonic
2023-12-11T05:50:19.715801image/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
 
1.8%
15.0 11
 
1.7%
5.0 10
 
1.5%
6.0 10
 
1.5%
13.2 10
 
1.5%
6.6 10
 
1.5%
20.0 9
 
1.4%
Other values (270) 409
63.0%
(Missing) 108
 
16.6%
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%
Mean1.1525424
Minimum0
Maximum12
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:19.933051image/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 deviation0.65722282
Coefficient of variation (CV)0.57023744
Kurtosis122.75788
Mean1.1525424
Median Absolute Deviation (MAD)0
Skewness8.9896904
Sum748
Variance0.43194183
MonotonicityNot monotonic
2023-12-11T05:50:20.129221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 587
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%
1 587
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%
1 587
90.4%
0 1
 
0.2%

휴대용소독기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2
630 
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 (%)
2 630
97.1%
3 13
 
2.0%
4 5
 
0.8%
7 1
 
0.2%

Length

2023-12-11T05:50:20.323372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:20.480909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 630
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
330 
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 row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 330
50.8%
1 312
48.1%
2 3
 
0.5%
3 3
 
0.5%
7 1
 
0.2%

Length

2023-12-11T05:50:20.664886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:20.847876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 330
50.8%
1 312
48.1%
2 3
 
0.5%
3 3
 
0.5%
7 1
 
0.2%

수동식분무기수
Real number (ℝ)

Distinct12
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3097072
Minimum3
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:21.024209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35
95-th percentile6.6
Maximum24
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.853737
Coefficient of variation (CV)0.43013061
Kurtosis37.159348
Mean4.3097072
Median Absolute Deviation (MAD)2
Skewness4.6226978
Sum2797
Variance3.4363408
MonotonicityNot monotonic
2023-12-11T05:50:21.209710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 301
46.4%
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 (%)
3 301
46.4%
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%
Mean5.1001541
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:21.392853image/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 deviation0.80554596
Coefficient of variation (CV)0.15794542
Kurtosis194.64259
Mean5.1001541
Median Absolute Deviation (MAD)0
Skewness12.378596
Sum3310
Variance0.6489043
MonotonicityNot monotonic
2023-12-11T05:50:21.590441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 631
97.2%
10 7
 
1.1%
6 6
 
0.9%
7 3
 
0.5%
8 1
 
0.2%
20 1
 
0.2%
ValueCountFrequency (%)
5 631
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%
5 631
97.2%

보호안경수
Real number (ℝ)

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1355932
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:21.818321image/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 deviation1.0274532
Coefficient of variation (CV)0.20006515
Kurtosis140.61067
Mean5.1355932
Median Absolute Deviation (MAD)0
Skewness10.900979
Sum3333
Variance1.0556602
MonotonicityNot monotonic
2023-12-11T05:50:22.026023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 628
96.8%
10 9
 
1.4%
6 8
 
1.2%
20 2
 
0.3%
7 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
5 628
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%
5 628
96.8%

보호용의복수
Real number (ℝ)

Distinct12
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4545455
Minimum5
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2023-12-11T05:50:22.222347image/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 deviation2.923117
Coefficient of variation (CV)0.53590478
Kurtosis204.42045
Mean5.4545455
Median Absolute Deviation (MAD)0
Skewness12.67132
Sum3540
Variance8.5446128
MonotonicityNot monotonic
2023-12-11T05:50:22.405313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 604
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 (%)
5 604
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
591 
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 (%)
1 591
91.1%
2 34
 
5.2%
3 12
 
1.8%
5 9
 
1.4%
4 3
 
0.5%

Length

2023-12-11T05:50:22.640033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:50:22.859567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 591
91.1%
2 34
 
5.2%
3 12
 
1.8%
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_P3410000PHMB52021341002304250000520210707<NA>3폐업3폐업20210907<NA><NA><NA><NA><NA><NA>대구광역시 중구 수동 ** ***호대구광역시 중구 약령길 **, *층 ***호 (수동)41934벌레잡는총각들20210907160841U2021-09-09 02:40:00.0<NA>343444.194347264457.7505725.09.912035551
34소독업09_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
45소독업09_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
56소독업09_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
67소독업09_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
78소독업09_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
89소독업09_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
910소독업09_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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
639640소독업09_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
640641소독업09_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
641642소독업09_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
642643소독업09_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
643644소독업09_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
644645소독업09_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
645646소독업09_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
646647소독업09_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
647648소독업09_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
648649소독업09_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