Overview

Dataset statistics

Number of variables32
Number of observations720
Missing cells4956
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory195.6 KiB
Average record size in memory278.2 B

Variable types

Numeric15
Categorical9
Text4
Unsupported3
DateTime1

Dataset

Description6270000_대구광역시_08_26_03_P_전화권유판매업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085854&dataSetDetailId=DDI_0000085883&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
휴업시작일자 is highly imbalanced (97.7%)Imbalance
휴업종료일자 is highly imbalanced (97.7%)Imbalance
재개업일자 is highly imbalanced (98.1%)Imbalance
인허가취소일자 has 668 (92.8%) missing valuesMissing
폐업일자 has 141 (19.6%) missing valuesMissing
소재지전화 has 97 (13.5%) missing valuesMissing
소재지면적 has 720 (100.0%) missing valuesMissing
소재지우편번호 has 301 (41.8%) missing valuesMissing
소재지전체주소 has 175 (24.3%) missing valuesMissing
도로명전체주소 has 20 (2.8%) missing valuesMissing
도로명우편번호 has 362 (50.3%) missing valuesMissing
업태구분명 has 720 (100.0%) missing valuesMissing
좌표정보(X) has 12 (1.7%) missing valuesMissing
좌표정보(Y) has 12 (1.7%) missing valuesMissing
자산규모 has 336 (46.7%) missing valuesMissing
부채총액 has 336 (46.7%) missing valuesMissing
자본금 has 336 (46.7%) missing valuesMissing
판매방식명 has 720 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
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
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 45 (6.2%) zerosZeros
부채총액 has 180 (25.0%) zerosZeros
자본금 has 30 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-10 20:58:04.416246
Analysis finished2023-12-10 20:58:05.684499
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct720
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.5
Minimum1
Maximum720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:05.815345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.95
Q1180.75
median360.5
Q3540.25
95-th percentile684.05
Maximum720
Range719
Interquartile range (IQR)359.5

Descriptive statistics

Standard deviation207.99038
Coefficient of variation (CV)0.57694975
Kurtosis-1.2
Mean360.5
Median Absolute Deviation (MAD)180
Skewness0
Sum259560
Variance43260
MonotonicityStrictly increasing
2023-12-11T05:58:06.062661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
475 1
 
0.1%
477 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
484 1
 
0.1%
Other values (710) 710
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
720 1
0.1%
719 1
0.1%
718 1
0.1%
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%
713 1
0.1%
712 1
0.1%
711 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
전화권유판매업
720 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전화권유판매업 720
100.0%

Length

2023-12-11T05:58:06.361759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:06.622279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 720
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
08_26_03_P
720 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_03_P
2nd row08_26_03_P
3rd row08_26_03_P
4th row08_26_03_P
5th row08_26_03_P

Common Values

ValueCountFrequency (%)
08_26_03_P 720
100.0%

Length

2023-12-11T05:58:06.823120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:07.015775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 720
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3438250
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:07.164240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22715.358
Coefficient of variation (CV)0.0066066627
Kurtosis-1.4693826
Mean3438250
Median Absolute Deviation (MAD)20000
Skewness0.10228406
Sum2.47554 × 109
Variance5.1598748 × 108
MonotonicityIncreasing
2023-12-11T05:58:07.352613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 175
24.3%
3460000 113
15.7%
3420000 112
15.6%
3470000 107
14.9%
3440000 84
11.7%
3450000 75
10.4%
3430000 43
 
6.0%
3480000 11
 
1.5%
ValueCountFrequency (%)
3410000 175
24.3%
3420000 112
15.6%
3430000 43
 
6.0%
3440000 84
11.7%
3450000 75
10.4%
3460000 113
15.7%
3470000 107
14.9%
3480000 11
 
1.5%
ValueCountFrequency (%)
3480000 11
 
1.5%
3470000 107
14.9%
3460000 113
15.7%
3450000 75
10.4%
3440000 84
11.7%
3430000 43
 
6.0%
3420000 112
15.6%
3410000 175
24.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct720
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0117313 × 1018
Minimum2.002346 × 1018
Maximum2.020348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:07.585119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002346 × 1018
5-th percentile2.005346 × 1018
Q12.008341 × 1018
median2.0108445 × 1018
Q32.015345 × 1018
95-th percentile2.019347 × 1018
Maximum2.020348 × 1018
Range1.8002028 × 1016
Interquartile range (IQR)7.0040071 × 1015

Descriptive statistics

Standard deviation4.4346415 × 1015
Coefficient of variation (CV)0.0022043905
Kurtosis-1.0324487
Mean2.0117313 × 1018
Median Absolute Deviation (MAD)3.4994922 × 1015
Skewness0.30846311
Sum-8.8462201 × 1018
Variance1.9666045 × 1031
MonotonicityNot monotonic
2023-12-11T05:58:07.808486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2012341007124200012 1
 
0.1%
2009345009924200003 1
 
0.1%
2007345009924200008 1
 
0.1%
2007345009924200011 1
 
0.1%
2007345009924200012 1
 
0.1%
2007345009924200014 1
 
0.1%
2007345009924200015 1
 
0.1%
2007345009924200016 1
 
0.1%
2007345009924200021 1
 
0.1%
2007345009924200022 1
 
0.1%
Other values (710) 710
98.6%
ValueCountFrequency (%)
2002346008124200001 1
0.1%
2002346008124200002 1
0.1%
2003342009024200001 1
0.1%
2003342009024200002 1
0.1%
2003346008124200003 1
0.1%
2003346008124200004 1
0.1%
2003346008124200005 1
0.1%
2003346008124200006 1
0.1%
2003346008124200007 1
0.1%
2003346008124200008 1
0.1%
ValueCountFrequency (%)
2020348036524200001 1
0.1%
2020347018124200003 1
0.1%
2020347018124200002 1
0.1%
2020347018124200001 1
0.1%
2020346017724200006 1
0.1%
2020346017724200005 1
0.1%
2020346017724200004 1
0.1%
2020346017724200003 1
0.1%
2020346017724200002 1
0.1%
2020346017724200001 1
0.1%

인허가일자
Real number (ℝ)

Distinct605
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108051
Minimum20000825
Maximum20200813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:08.072274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000825
5-th percentile20040508
Q120070709
median20100616
Q320150511
95-th percentile20190821
Maximum20200813
Range199988
Interquartile range (IQR)79802.25

Descriptive statistics

Standard deviation48378.415
Coefficient of variation (CV)0.0024059226
Kurtosis-1.0711883
Mean20108051
Median Absolute Deviation (MAD)40108
Skewness0.23673993
Sum1.4477797 × 1010
Variance2.340471 × 109
MonotonicityNot monotonic
2023-12-11T05:58:08.290529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050407 7
 
1.0%
20040508 6
 
0.8%
20070529 6
 
0.8%
20050411 5
 
0.7%
20111228 4
 
0.6%
20050413 4
 
0.6%
20050331 3
 
0.4%
20161108 3
 
0.4%
20080613 3
 
0.4%
20070528 3
 
0.4%
Other values (595) 676
93.9%
ValueCountFrequency (%)
20000825 1
0.1%
20020821 1
0.1%
20020911 1
0.1%
20021001 1
0.1%
20021011 1
0.1%
20021029 2
0.3%
20021209 1
0.1%
20030109 2
0.3%
20030116 1
0.1%
20030118 1
0.1%
ValueCountFrequency (%)
20200813 1
0.1%
20200812 1
0.1%
20200807 1
0.1%
20200720 1
0.1%
20200717 1
0.1%
20200714 1
0.1%
20200703 2
0.3%
20200616 1
0.1%
20200526 1
0.1%
20200521 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)38.5%
Missing668
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean20095150
Minimum20061101
Maximum20160831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:08.505833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061101
5-th percentile20080715
Q120080930
median20090122
Q320095650
95-th percentile20130749
Maximum20160831
Range99730
Interquartile range (IQR)14720.5

Descriptive statistics

Standard deviation19929.451
Coefficient of variation (CV)0.0009917543
Kurtosis1.3175263
Mean20095150
Median Absolute Deviation (MAD)9192
Skewness1.2915939
Sum1.0449478 × 109
Variance3.9718302 × 108
MonotonicityNot monotonic
2023-12-11T05:58:08.723934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20120823 8
 
1.1%
20090122 8
 
1.1%
20080930 6
 
0.8%
20090828 5
 
0.7%
20090813 4
 
0.6%
20080812 4
 
0.6%
20080715 3
 
0.4%
20081024 2
 
0.3%
20130802 1
 
0.1%
20090731 1
 
0.1%
Other values (10) 10
 
1.4%
(Missing) 668
92.8%
ValueCountFrequency (%)
20061101 1
 
0.1%
20071112 1
 
0.1%
20080715 3
 
0.4%
20080730 1
 
0.1%
20080812 4
0.6%
20080930 6
0.8%
20081024 2
 
0.3%
20081215 1
 
0.1%
20081229 1
 
0.1%
20090122 8
1.1%
ValueCountFrequency (%)
20160831 1
 
0.1%
20141006 1
 
0.1%
20130802 1
 
0.1%
20130705 1
 
0.1%
20120823 8
1.1%
20110118 1
 
0.1%
20090828 5
0.7%
20090813 4
0.6%
20090731 1
 
0.1%
20090227 1
 
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
3
351 
4
242 
1
125 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 351
48.8%
4 242
33.6%
1 125
 
17.4%
2 2
 
0.3%

Length

2023-12-11T05:58:08.941483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:09.117013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 351
48.8%
4 242
33.6%
1 125
 
17.4%
2 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
폐업
351 
취소/말소/만료/정지/중지
242 
영업/정상
125 
휴업
 
2

Length

Max length14
Median length5
Mean length6.5541667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 351
48.8%
취소/말소/만료/정지/중지 242
33.6%
영업/정상 125
 
17.4%
휴업 2
 
0.3%

Length

2023-12-11T05:58:09.286872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:09.423406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 351
48.8%
취소/말소/만료/정지/중지 242
33.6%
영업/정상 125
 
17.4%
휴업 2
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7763889
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:09.544522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0881141
Coefficient of variation (CV)0.55293938
Kurtosis-0.95870258
Mean3.7763889
Median Absolute Deviation (MAD)1
Skewness0.53310122
Sum2719
Variance4.3602206
MonotonicityNot monotonic
2023-12-11T05:58:09.716848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 351
48.8%
7 188
26.1%
1 124
 
17.2%
4 54
 
7.5%
2 2
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
1 124
 
17.2%
2 2
 
0.3%
3 351
48.8%
4 54
 
7.5%
6 1
 
0.1%
7 188
26.1%
ValueCountFrequency (%)
7 188
26.1%
6 1
 
0.1%
4 54
 
7.5%
3 351
48.8%
2 2
 
0.3%
1 124
 
17.2%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
폐업처리
351 
직권말소
188 
정상영업
124 
직권취소
54 
휴업처리
 
2

Length

Max length6
Median length4
Mean length4.0027778
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 351
48.8%
직권말소 188
26.1%
정상영업 124
 
17.2%
직권취소 54
 
7.5%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

Length

2023-12-11T05:58:09.898655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:10.081939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 351
48.8%
직권말소 188
26.1%
정상영업 124
 
17.2%
직권취소 54
 
7.5%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct392
Distinct (%)67.7%
Missing141
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean20128675
Minimum20020930
Maximum20200626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:10.254916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020930
5-th percentile20069231
Q120100324
median20130704
Q320160422
95-th percentile20190127
Maximum20200626
Range179696
Interquartile range (IQR)60098

Descriptive statistics

Standard deviation38404.531
Coefficient of variation (CV)0.0019079513
Kurtosis-0.74725419
Mean20128675
Median Absolute Deviation (MAD)30288
Skewness-0.18767357
Sum1.1654503 × 1010
Variance1.474908 × 109
MonotonicityNot monotonic
2023-12-11T05:58:10.560915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100416 26
 
3.6%
20141219 15
 
2.1%
20151230 12
 
1.7%
20090122 8
 
1.1%
20120823 8
 
1.1%
20091130 8
 
1.1%
20090828 6
 
0.8%
20080930 6
 
0.8%
20100324 5
 
0.7%
20130701 5
 
0.7%
Other values (382) 480
66.7%
(Missing) 141
 
19.6%
ValueCountFrequency (%)
20020930 1
0.1%
20021010 1
0.1%
20030731 1
0.1%
20040131 1
0.1%
20040202 1
0.1%
20040614 1
0.1%
20040824 1
0.1%
20040930 1
0.1%
20050126 1
0.1%
20050302 1
0.1%
ValueCountFrequency (%)
20200626 1
0.1%
20200610 1
0.1%
20200513 1
0.1%
20200318 1
0.1%
20200317 1
0.1%
20200302 1
0.1%
20200301 1
0.1%
20200229 1
0.1%
20200212 1
0.1%
20200210 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
717 
20060515
 
1
20180914
 
1
20151028
 
1

Length

Max length8
Median length4
Mean length4.0166667
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 717
99.6%
20060515 1
 
0.1%
20180914 1
 
0.1%
20151028 1
 
0.1%

Length

2023-12-11T05:58:10.759604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:10.892399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
99.6%
20060515 1
 
0.1%
20180914 1
 
0.1%
20151028 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
717 
20061015
 
1
20181214
 
1
20160930
 
1

Length

Max length8
Median length4
Mean length4.0166667
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 717
99.6%
20061015 1
 
0.1%
20181214 1
 
0.1%
20160930 1
 
0.1%

Length

2023-12-11T05:58:11.081341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:11.267781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
99.6%
20061015 1
 
0.1%
20181214 1
 
0.1%
20160930 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
718 
20151023
 
1
20160823
 
1

Length

Max length8
Median length4
Mean length4.0111111
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> 718
99.7%
20151023 1
 
0.1%
20160823 1
 
0.1%

Length

2023-12-11T05:58:11.490186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:11.700895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 718
99.7%
20151023 1
 
0.1%
20160823 1
 
0.1%

소재지전화
Text

MISSING 

Distinct591
Distinct (%)94.9%
Missing97
Missing (%)13.5%
Memory size5.8 KiB
2023-12-11T05:58:12.039385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.479936
Min length1

Characters and Unicode

Total characters7152
Distinct characters17
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

Unique562 ?
Unique (%)90.2%

Sample

1st row1544-6149
2nd row053-1544-6039
3rd row070-7500-3337
4th row053-284-1678
5th row053-653-2000
ValueCountFrequency (%)
053 109
 
12.7%
424 9
 
1.1%
256 6
 
0.7%
253 6
 
0.7%
242 5
 
0.6%
254 5
 
0.6%
2000 5
 
0.6%
217 4
 
0.5%
422 4
 
0.5%
429 4
 
0.5%
Other values (622) 698
81.6%
2023-12-11T05:58:12.634651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1211
16.9%
5 976
13.6%
- 878
12.3%
3 840
11.7%
2 562
7.9%
1 476
 
6.7%
7 438
 
6.1%
6 418
 
5.8%
4 408
 
5.7%
8 374
 
5.2%
Other values (7) 571
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6030
84.3%
Dash Punctuation 878
 
12.3%
Space Separator 233
 
3.3%
Other Punctuation 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1211
20.1%
5 976
16.2%
3 840
13.9%
2 562
9.3%
1 476
 
7.9%
7 438
 
7.3%
6 418
 
6.9%
4 408
 
6.8%
8 374
 
6.2%
9 327
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
/ 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 878
100.0%
Space Separator
ValueCountFrequency (%)
233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1211
16.9%
5 976
13.6%
- 878
12.3%
3 840
11.7%
2 562
7.9%
1 476
 
6.7%
7 438
 
6.1%
6 418
 
5.8%
4 408
 
5.7%
8 374
 
5.2%
Other values (7) 571
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1211
16.9%
5 976
13.6%
- 878
12.3%
3 840
11.7%
2 562
7.9%
1 476
 
6.7%
7 438
 
6.1%
6 418
 
5.8%
4 408
 
5.7%
8 374
 
5.2%
Other values (7) 571
8.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing720
Missing (%)100.0%
Memory size6.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)39.1%
Missing301
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean702724.48
Minimum700010
Maximum711852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:13.261549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700200
Q1700440.5
median702062
Q3704365
95-th percentile706080
Maximum711852
Range11842
Interquartile range (IQR)3924.5

Descriptive statistics

Standard deviation2308.5073
Coefficient of variation (CV)0.0032850817
Kurtosis0.95279286
Mean702724.48
Median Absolute Deviation (MAD)1711
Skewness0.87840591
Sum2.9444156 × 108
Variance5329206
MonotonicityNot monotonic
2023-12-11T05:58:13.569711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705030 22
 
3.1%
701020 21
 
2.9%
700440 17
 
2.4%
700351 15
 
2.1%
704060 14
 
1.9%
704340 13
 
1.8%
700412 11
 
1.5%
701010 10
 
1.4%
700400 8
 
1.1%
702010 7
 
1.0%
Other values (154) 281
39.0%
(Missing) 301
41.8%
ValueCountFrequency (%)
700010 2
0.3%
700060 2
0.3%
700070 3
0.4%
700082 3
0.4%
700091 1
 
0.1%
700092 1
 
0.1%
700093 2
0.3%
700111 2
0.3%
700150 2
0.3%
700191 1
 
0.1%
ValueCountFrequency (%)
711852 1
0.1%
711843 1
0.1%
711834 1
0.1%
711813 1
0.1%
711763 1
0.1%
706838 1
0.1%
706730 1
0.1%
706230 1
0.1%
706220 1
0.1%
706210 1
0.1%

소재지전체주소
Text

MISSING 

Distinct493
Distinct (%)90.5%
Missing175
Missing (%)24.3%
Memory size5.8 KiB
2023-12-11T05:58:14.123698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length25.733945
Min length17

Characters and Unicode

Total characters14025
Distinct characters256
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique465 ?
Unique (%)85.3%

Sample

1st row대구광역시 중구 남일동 69번지 2호
2nd row대구광역시 중구 덕산동 110번지 삼성생명빌딩26층
3rd row대구광역시 중구 남산동 659번지 3호
4th row대구광역시 중구 동인동4가 386번지 7호 강남빌딩 3층
5th row대구광역시 중구 서성로2가 46번지 1호
ValueCountFrequency (%)
대구광역시 545
 
17.4%
중구 144
 
4.6%
1호 116
 
3.7%
동구 89
 
2.8%
남구 75
 
2.4%
달서구 74
 
2.4%
수성구 69
 
2.2%
대명동 60
 
1.9%
2호 58
 
1.9%
북구 53
 
1.7%
Other values (795) 1841
58.9%
2023-12-11T05:58:14.930668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2595
18.5%
구 1100
 
7.8%
1 698
 
5.0%
동 660
 
4.7%
대 650
 
4.6%
지 565
 
4.0%
호 553
 
3.9%
시 552
 
3.9%
광 549
 
3.9%
역 547
 
3.9%
Other values (246) 5556
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8480
60.5%
Decimal Number 2892
 
20.6%
Space Separator 2595
 
18.5%
Uppercase Letter 27
 
0.2%
Lowercase Letter 13
 
0.1%
Dash Punctuation 8
 
0.1%
Other Punctuation 7
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1100
13.0%
동 660
 
7.8%
대 650
 
7.7%
지 565
 
6.7%
호 553
 
6.5%
시 552
 
6.5%
광 549
 
6.5%
역 547
 
6.5%
번 536
 
6.3%
층 196
 
2.3%
Other values (216) 2572
30.3%
Decimal Number
ValueCountFrequency (%)
1 698
24.1%
2 483
16.7%
3 322
11.1%
0 249
 
8.6%
5 216
 
7.5%
4 210
 
7.3%
8 196
 
6.8%
9 184
 
6.4%
6 182
 
6.3%
7 152
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
K 10
37.0%
T 7
25.9%
S 5
18.5%
O 1
 
3.7%
F 1
 
3.7%
I 1
 
3.7%
G 1
 
3.7%
B 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
k 6
46.2%
t 4
30.8%
s 2
 
15.4%
c 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
/ 2
28.6%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2595
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8480
60.5%
Common 5505
39.3%
Latin 40
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1100
13.0%
동 660
 
7.8%
대 650
 
7.7%
지 565
 
6.7%
호 553
 
6.5%
시 552
 
6.5%
광 549
 
6.5%
역 547
 
6.5%
번 536
 
6.3%
층 196
 
2.3%
Other values (216) 2572
30.3%
Common
ValueCountFrequency (%)
2595
47.1%
1 698
 
12.7%
2 483
 
8.8%
3 322
 
5.8%
0 249
 
4.5%
5 216
 
3.9%
4 210
 
3.8%
8 196
 
3.6%
9 184
 
3.3%
6 182
 
3.3%
Other values (8) 170
 
3.1%
Latin
ValueCountFrequency (%)
K 10
25.0%
T 7
17.5%
k 6
15.0%
S 5
12.5%
t 4
 
10.0%
s 2
 
5.0%
O 1
 
2.5%
F 1
 
2.5%
I 1
 
2.5%
G 1
 
2.5%
Other values (2) 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8480
60.5%
ASCII 5545
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2595
46.8%
1 698
 
12.6%
2 483
 
8.7%
3 322
 
5.8%
0 249
 
4.5%
5 216
 
3.9%
4 210
 
3.8%
8 196
 
3.5%
9 184
 
3.3%
6 182
 
3.3%
Other values (20) 210
 
3.8%
Hangul
ValueCountFrequency (%)
구 1100
13.0%
동 660
 
7.8%
대 650
 
7.7%
지 565
 
6.7%
호 553
 
6.5%
시 552
 
6.5%
광 549
 
6.5%
역 547
 
6.5%
번 536
 
6.3%
층 196
 
2.3%
Other values (216) 2572
30.3%

도로명전체주소
Text

MISSING 

Distinct639
Distinct (%)91.3%
Missing20
Missing (%)2.8%
Memory size5.8 KiB
2023-12-11T05:58:15.622117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.345714
Min length13

Characters and Unicode

Total characters20542
Distinct characters320
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique601 ?
Unique (%)85.9%

Sample

1st row대구광역시 중구 중앙대로 390 (동성로3가, 센트럴엠빌딩801호)
2nd row대구광역시 중구 중앙대로 406-13 (남일동)
3rd row대구광역시 중구 국채보상로 711 (동인동4가, 한일빌딩4층)
4th row대구광역시 중구 동덕로26길 96 (삼덕동3가)
5th row대구광역시 중구 명덕로65길 37, 301호 (대봉동, 하나빌딩)
ValueCountFrequency (%)
대구광역시 700
 
17.4%
중구 170
 
4.2%
수성구 109
 
2.7%
동구 107
 
2.7%
달서구 105
 
2.6%
남구 80
 
2.0%
북구 72
 
1.8%
달구벌대로 65
 
1.6%
3층 52
 
1.3%
대명동 47
 
1.2%
Other values (1121) 2527
62.6%
2023-12-11T05:58:16.645758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3346
 
16.3%
구 1533
 
7.5%
대 1024
 
5.0%
동 967
 
4.7%
시 714
 
3.5%
로 714
 
3.5%
광 704
 
3.4%
역 704
 
3.4%
) 692
 
3.4%
( 691
 
3.4%
Other values (310) 9453
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11935
58.1%
Space Separator 3346
 
16.3%
Decimal Number 3205
 
15.6%
Close Punctuation 692
 
3.4%
Open Punctuation 691
 
3.4%
Other Punctuation 536
 
2.6%
Dash Punctuation 78
 
0.4%
Uppercase Letter 42
 
0.2%
Lowercase Letter 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1533
 
12.8%
대 1024
 
8.6%
동 967
 
8.1%
시 714
 
6.0%
로 714
 
6.0%
광 704
 
5.9%
역 704
 
5.9%
층 327
 
2.7%
성 247
 
2.1%
중 235
 
2.0%
Other values (278) 4766
39.9%
Decimal Number
ValueCountFrequency (%)
1 649
20.2%
2 537
16.8%
3 405
12.6%
0 313
9.8%
4 283
8.8%
5 275
8.6%
6 238
 
7.4%
7 174
 
5.4%
8 170
 
5.3%
9 161
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
K 15
35.7%
T 12
28.6%
S 5
 
11.9%
A 3
 
7.1%
B 2
 
4.8%
G 1
 
2.4%
O 1
 
2.4%
H 1
 
2.4%
L 1
 
2.4%
I 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
k 7
46.7%
t 5
33.3%
s 2
 
13.3%
c 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 533
99.4%
/ 2
 
0.4%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 692
100.0%
Open Punctuation
ValueCountFrequency (%)
( 691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11935
58.1%
Common 8550
41.6%
Latin 57
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1533
 
12.8%
대 1024
 
8.6%
동 967
 
8.1%
시 714
 
6.0%
로 714
 
6.0%
광 704
 
5.9%
역 704
 
5.9%
층 327
 
2.7%
성 247
 
2.1%
중 235
 
2.0%
Other values (278) 4766
39.9%
Common
ValueCountFrequency (%)
3346
39.1%
) 692
 
8.1%
( 691
 
8.1%
1 649
 
7.6%
2 537
 
6.3%
, 533
 
6.2%
3 405
 
4.7%
0 313
 
3.7%
4 283
 
3.3%
5 275
 
3.2%
Other values (8) 826
 
9.7%
Latin
ValueCountFrequency (%)
K 15
26.3%
T 12
21.1%
k 7
12.3%
t 5
 
8.8%
S 5
 
8.8%
A 3
 
5.3%
B 2
 
3.5%
s 2
 
3.5%
G 1
 
1.8%
O 1
 
1.8%
Other values (4) 4
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11935
58.1%
ASCII 8607
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3346
38.9%
) 692
 
8.0%
( 691
 
8.0%
1 649
 
7.5%
2 537
 
6.2%
, 533
 
6.2%
3 405
 
4.7%
0 313
 
3.6%
4 283
 
3.3%
5 275
 
3.2%
Other values (22) 883
 
10.3%
Hangul
ValueCountFrequency (%)
구 1533
 
12.8%
대 1024
 
8.6%
동 967
 
8.1%
시 714
 
6.0%
로 714
 
6.0%
광 704
 
5.9%
역 704
 
5.9%
층 327
 
2.7%
성 247
 
2.1%
중 235
 
2.0%
Other values (278) 4766
39.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct279
Distinct (%)77.9%
Missing362
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean358077.23
Minimum41026
Maximum711854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:16.925291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41242.25
Q141967
median42796
Q3702906.5
95-th percentile706825.3
Maximum711854
Range670828
Interquartile range (IQR)660939.5

Descriptive statistics

Standard deviation330995.91
Coefficient of variation (CV)0.92437017
Kurtosis-2.0030032
Mean358077.23
Median Absolute Deviation (MAD)1651.5
Skewness0.089939996
Sum1.2819165 × 108
Variance1.0955829 × 1011
MonotonicityNot monotonic
2023-12-11T05:58:17.180934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41260 7
 
1.0%
42486 5
 
0.7%
41775 5
 
0.7%
41967 5
 
0.7%
705810 4
 
0.6%
701240 4
 
0.6%
700719 3
 
0.4%
704350 3
 
0.4%
706170 3
 
0.4%
702062 3
 
0.4%
Other values (269) 316
43.9%
(Missing) 362
50.3%
ValueCountFrequency (%)
41026 2
0.3%
41034 1
0.1%
41065 1
0.1%
41104 1
0.1%
41112 1
0.1%
41114 1
0.1%
41143 1
0.1%
41146 2
0.3%
41161 1
0.1%
41169 1
0.1%
ValueCountFrequency (%)
711854 1
0.1%
711837 1
0.1%
711836 1
0.1%
711763 1
0.1%
706853 1
0.1%
706852 2
0.3%
706844 1
0.1%
706840 1
0.1%
706838 1
0.1%
706837 1
0.1%

사업장명
Text

Distinct697
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-11T05:58:17.620600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length7.8791667
Min length1

Characters and Unicode

Total characters5673
Distinct characters413
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique676 ?
Unique (%)93.9%

Sample

1st row에이스네트웍스
2nd row한스정보시스템
3rd row주식회사 인터코리아
4th row명진상사
5th row현대상조(주)현대에스투어
ValueCountFrequency (%)
주식회사 101
 
11.0%
주 26
 
2.8%
농업회사법인 5
 
0.5%
고구려통신 3
 
0.3%
홈쇼핑 3
 
0.3%
미래정보통신 3
 
0.3%
정보통신 3
 
0.3%
마루네트웍스 3
 
0.3%
대구 2
 
0.2%
디지털 2
 
0.2%
Other values (735) 768
83.6%
2023-12-11T05:58:18.245943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 380
 
6.7%
( 278
 
4.9%
) 278
 
4.9%
199
 
3.5%
이 164
 
2.9%
사 159
 
2.8%
스 155
 
2.7%
통 136
 
2.4%
신 131
 
2.3%
회 130
 
2.3%
Other values (403) 3663
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4687
82.6%
Open Punctuation 278
 
4.9%
Close Punctuation 278
 
4.9%
Space Separator 199
 
3.5%
Uppercase Letter 142
 
2.5%
Lowercase Letter 44
 
0.8%
Other Punctuation 22
 
0.4%
Decimal Number 17
 
0.3%
Dash Punctuation 3
 
0.1%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 380
 
8.1%
이 164
 
3.5%
사 159
 
3.4%
스 155
 
3.3%
통 136
 
2.9%
신 131
 
2.8%
회 130
 
2.8%
식 117
 
2.5%
보 104
 
2.2%
정 102
 
2.2%
Other values (351) 3109
66.3%
Uppercase Letter
ValueCountFrequency (%)
T 19
13.4%
S 16
 
11.3%
I 14
 
9.9%
C 9
 
6.3%
K 9
 
6.3%
N 8
 
5.6%
D 8
 
5.6%
G 7
 
4.9%
B 7
 
4.9%
P 5
 
3.5%
Other values (13) 40
28.2%
Lowercase Letter
ValueCountFrequency (%)
n 6
13.6%
t 5
11.4%
e 5
11.4%
c 4
9.1%
a 4
9.1%
i 3
6.8%
o 3
6.8%
p 3
6.8%
r 2
 
4.5%
s 2
 
4.5%
Other values (6) 7
15.9%
Other Punctuation
ValueCountFrequency (%)
. 10
45.5%
& 8
36.4%
, 3
 
13.6%
@ 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 8
47.1%
4 4
23.5%
0 3
 
17.6%
2 2
 
11.8%
Open Punctuation
ValueCountFrequency (%)
( 278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 278
100.0%
Space Separator
ValueCountFrequency (%)
199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4690
82.7%
Common 797
 
14.0%
Latin 186
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 380
 
8.1%
이 164
 
3.5%
사 159
 
3.4%
스 155
 
3.3%
통 136
 
2.9%
신 131
 
2.8%
회 130
 
2.8%
식 117
 
2.5%
보 104
 
2.2%
정 102
 
2.2%
Other values (352) 3112
66.4%
Latin
ValueCountFrequency (%)
T 19
 
10.2%
S 16
 
8.6%
I 14
 
7.5%
C 9
 
4.8%
K 9
 
4.8%
N 8
 
4.3%
D 8
 
4.3%
G 7
 
3.8%
B 7
 
3.8%
n 6
 
3.2%
Other values (29) 83
44.6%
Common
ValueCountFrequency (%)
( 278
34.9%
) 278
34.9%
199
25.0%
. 10
 
1.3%
& 8
 
1.0%
1 8
 
1.0%
4 4
 
0.5%
- 3
 
0.4%
0 3
 
0.4%
, 3
 
0.4%
Other values (2) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4687
82.6%
ASCII 983
 
17.3%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 380
 
8.1%
이 164
 
3.5%
사 159
 
3.4%
스 155
 
3.3%
통 136
 
2.9%
신 131
 
2.8%
회 130
 
2.8%
식 117
 
2.5%
보 104
 
2.2%
정 102
 
2.2%
Other values (351) 3109
66.3%
ASCII
ValueCountFrequency (%)
( 278
28.3%
) 278
28.3%
199
20.2%
T 19
 
1.9%
S 16
 
1.6%
I 14
 
1.4%
. 10
 
1.0%
C 9
 
0.9%
K 9
 
0.9%
& 8
 
0.8%
Other values (41) 143
14.5%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct720
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0139005 × 1013
Minimum2.007073 × 1013
Maximum2.0200813 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:18.421094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007073 × 1013
5-th percentile2.0080731 × 1013
Q12.0100609 × 1013
median2.0141219 × 1013
Q32.0170721 × 1013
95-th percentile2.0200212 × 1013
Maximum2.0200813 × 1013
Range1.3008304 × 1011
Interquartile range (IQR)7.0111439 × 1010

Descriptive statistics

Standard deviation3.795397 × 1010
Coefficient of variation (CV)0.0018846
Kurtosis-1.163205
Mean2.0139005 × 1013
Median Absolute Deviation (MAD)3.0551012 × 1010
Skewness-0.10436774
Sum1.4500084 × 1016
Variance1.4405039 × 1021
MonotonicityNot monotonic
2023-12-11T05:58:18.608668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130801105910 1
 
0.1%
20171215155533 1
 
0.1%
20070808101814 1
 
0.1%
20070730135412 1
 
0.1%
20130329155126 1
 
0.1%
20090403171905 1
 
0.1%
20120618142836 1
 
0.1%
20080307161532 1
 
0.1%
20100609104100 1
 
0.1%
20080731093535 1
 
0.1%
Other values (710) 710
98.6%
ValueCountFrequency (%)
20070730112601 1
0.1%
20070730112641 1
0.1%
20070730135412 1
0.1%
20070801172406 1
0.1%
20070802124027 1
0.1%
20070802124155 1
0.1%
20070802124233 1
0.1%
20070802124303 1
0.1%
20070802133932 1
0.1%
20070802134653 1
0.1%
ValueCountFrequency (%)
20200813154757 1
0.1%
20200812135255 1
0.1%
20200807175248 1
0.1%
20200720171630 1
0.1%
20200717164554 1
0.1%
20200714172232 1
0.1%
20200707150700 1
0.1%
20200703174411 1
0.1%
20200629184717 1
0.1%
20200617155142 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
I
633 
U
87 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 633
87.9%
U 87
 
12.1%

Length

2023-12-11T05:58:18.765090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:58:18.944829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 633
87.9%
u 87
 
12.1%

데이터갱신일자
Date

Distinct110
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2018-08-31 23:59:59
Maximum2020-08-15 00:23:13
2023-12-11T05:58:19.133329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:58:19.368657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing720
Missing (%)100.0%
Memory size6.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct534
Distinct (%)75.4%
Missing12
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean344002.02
Minimum329997.18
Maximum356771.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:19.589751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329997.18
5-th percentile338159.41
Q1341667.32
median343960.81
Q3346406.17
95-th percentile350482.01
Maximum356771.2
Range26774.023
Interquartile range (IQR)4738.8581

Descriptive statistics

Standard deviation3933.9495
Coefficient of variation (CV)0.011435832
Kurtosis1.5496974
Mean344002.02
Median Absolute Deviation (MAD)2303.2407
Skewness0.26091877
Sum2.4355343 × 108
Variance15475959
MonotonicityNot monotonic
2023-12-11T05:58:19.828938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343960.811871 15
 
2.1%
344686.259338 11
 
1.5%
339679.576629 6
 
0.8%
347112.22171 6
 
0.8%
346708.407019 5
 
0.7%
346594.63507 5
 
0.7%
343724.113964 5
 
0.7%
344531.569541 4
 
0.6%
344858.344663 4
 
0.6%
346246.21066 4
 
0.6%
Other values (524) 643
89.3%
(Missing) 12
 
1.7%
ValueCountFrequency (%)
329997.180892 1
0.1%
330379.598982 1
0.1%
331836.0 1
0.1%
332707.0 1
0.1%
332950.866365 1
0.1%
334105.944189 1
0.1%
334205.734928 1
0.1%
334217.966418 1
0.1%
334621.225167 1
0.1%
334847.191884 1
0.1%
ValueCountFrequency (%)
356771.204273 1
0.1%
356391.674186 1
0.1%
356074.449375 1
0.1%
355857.357218 2
0.3%
355807.847698648 1
0.1%
355698.810726 1
0.1%
355681.445461 1
0.1%
355584.792491 1
0.1%
355436.83319 1
0.1%
354951.0 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct534
Distinct (%)75.4%
Missing12
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean263562.55
Minimum244962
Maximum274818.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:20.072462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244962
5-th percentile259244.44
Q1261844.7
median263815.1
Q3264846.1
95-th percentile268622.71
Maximum274818.56
Range29856.563
Interquartile range (IQR)3001.4008

Descriptive statistics

Standard deviation3009.9058
Coefficient of variation (CV)0.011420081
Kurtosis6.2210681
Mean263562.55
Median Absolute Deviation (MAD)1278.2371
Skewness-0.42860787
Sum1.8660229 × 108
Variance9059533
MonotonicityNot monotonic
2023-12-11T05:58:20.343556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264947.507125 15
 
2.1%
263958.880864 11
 
1.5%
259462.411822 6
 
0.8%
259244.441757 6
 
0.8%
264492.860639 5
 
0.7%
264578.070096 5
 
0.7%
263960.603586 5
 
0.7%
263851.788464 4
 
0.6%
264643.953097 4
 
0.6%
263443.446572 4
 
0.6%
Other values (524) 643
89.3%
(Missing) 12
 
1.7%
ValueCountFrequency (%)
244962.0 1
0.1%
245197.0 1
0.1%
248650.0266 1
0.1%
248808.412353 1
0.1%
255467.253837 1
0.1%
255754.319402 1
0.1%
256485.112 1
0.1%
256524.446738 1
0.1%
257031.807062 1
0.1%
257542.0 1
0.1%
ValueCountFrequency (%)
274818.562794 1
0.1%
273733.771246 2
0.3%
273712.082489 1
0.1%
273543.383722 1
0.1%
272914.692555 1
0.1%
272659.523295 1
0.1%
272309.461236 1
0.1%
271973.249974 1
0.1%
271709.658988 1
0.1%
271302.954113 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct216
Distinct (%)56.2%
Missing336
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean3.7022175 × 109
Minimum0
Maximum5.2194126 × 1011
Zeros45
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-11T05:58:20.591856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000000
median1 × 108
Q34.5320608 × 108
95-th percentile5.5822835 × 109
Maximum5.2194126 × 1011
Range5.2194126 × 1011
Interquartile range (IQR)4.0320608 × 108

Descriptive statistics

Standard deviation3.2762159 × 1010
Coefficient of variation (CV)8.849334
Kurtosis199.02208
Mean3.7022175 × 109
Median Absolute Deviation (MAD)99915925
Skewness13.744638
Sum1.4216515 × 1012
Variance1.0733591 × 1021
MonotonicityNot monotonic
2023-12-11T05:58:20.839103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 57
 
7.9%
0 45
 
6.2%
100000000 21
 
2.9%
30000000 10
 
1.4%
10000000 9
 
1.2%
150000000 7
 
1.0%
300000000 7
 
1.0%
20000000 5
 
0.7%
160000000 4
 
0.6%
200000000 3
 
0.4%
Other values (206) 216
30.0%
(Missing) 336
46.7%
ValueCountFrequency (%)
0 45
6.2%
1000000 1
 
0.1%
5000000 3
 
0.4%
6000000 1
 
0.1%
9000000 1
 
0.1%
10000000 9
 
1.2%
10100000 1
 
0.1%
12000000 1
 
0.1%
20000000 5
 
0.7%
24576745 1
 
0.1%
ValueCountFrequency (%)
521941256656 1
0.1%
356900000000 1
0.1%
94520742647 1
0.1%
51319652155 1
0.1%
29286339762 1
0.1%
27688856409 1
0.1%
27307394834 1
0.1%
26654732424 1
0.1%
23308399751 1
0.1%
12318649489 1
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct194
Distinct (%)50.5%
Missing336
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean1.8778089 × 109
Minimum-10000000
Maximum3.3094068 × 1011
Zeros180
Zeros (%)25.0%
Negative1
Negative (%)0.1%
Memory size6.5 KiB
2023-12-11T05:58:21.092940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median3556680
Q31.8705442 × 108
95-th percentile2.3766924 × 109
Maximum3.3094068 × 1011
Range3.3095068 × 1011
Interquartile range (IQR)1.8705442 × 108

Descriptive statistics

Standard deviation1.9541802 × 1010
Coefficient of variation (CV)10.406704
Kurtosis232.62362
Mean1.8778089 × 109
Median Absolute Deviation (MAD)3556680
Skewness14.857125
Sum7.2107863 × 1011
Variance3.8188201 × 1020
MonotonicityNot monotonic
2023-12-11T05:58:21.366328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
25.0%
5000000 5
 
0.7%
50000000 4
 
0.6%
30000000 3
 
0.4%
100000000 2
 
0.3%
20000000 2
 
0.3%
930000000 1
 
0.1%
67511991 1
 
0.1%
205231835 1
 
0.1%
411763939 1
 
0.1%
Other values (184) 184
25.6%
(Missing) 336
46.7%
ValueCountFrequency (%)
-10000000 1
 
0.1%
0 180
25.0%
13676 1
 
0.1%
122094 1
 
0.1%
507000 1
 
0.1%
1250000 1
 
0.1%
1451100 1
 
0.1%
1898636 1
 
0.1%
2000000 1
 
0.1%
2123000 1
 
0.1%
ValueCountFrequency (%)
330940679869 1
0.1%
189200000000 1
0.1%
28915224382 1
0.1%
24895604727 1
0.1%
22198168433 1
0.1%
7147197865 1
0.1%
5705056715 1
0.1%
5583342755 1
0.1%
4958691694 1
0.1%
4678684538 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)30.7%
Missing336
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean1.2154953 × 109
Minimum-1.4810772 × 108
Maximum1.9100058 × 1011
Zeros30
Zeros (%)4.2%
Negative3
Negative (%)0.4%
Memory size6.5 KiB
2023-12-11T05:58:21.681612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.4810772 × 108
5-th percentile0
Q142783834
median50000000
Q31.7694449 × 108
95-th percentile2.9499584 × 109
Maximum1.9100058 × 1011
Range1.9114868 × 1011
Interquartile range (IQR)1.3416066 × 108

Descriptive statistics

Standard deviation1.0584814 × 1010
Coefficient of variation (CV)8.7082315
Kurtosis275.88951
Mean1.2154953 × 109
Median Absolute Deviation (MAD)45000000
Skewness15.916321
Sum4.6675019 × 1011
Variance1.1203829 × 1020
MonotonicityNot monotonic
2023-12-11T05:58:21.964398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 120
 
16.7%
0 30
 
4.2%
100000000 22
 
3.1%
30000000 19
 
2.6%
10000000 18
 
2.5%
300000000 15
 
2.1%
150000000 11
 
1.5%
160000000 11
 
1.5%
20000000 9
 
1.2%
200000000 6
 
0.8%
Other values (108) 123
 
17.1%
(Missing) 336
46.7%
ValueCountFrequency (%)
-148107720 1
 
0.1%
-104768498 1
 
0.1%
-49431530 1
 
0.1%
0 30
4.2%
1000000 2
 
0.3%
2884689 1
 
0.1%
5000000 4
 
0.6%
9000000 1
 
0.1%
10000000 18
2.5%
10100000 1
 
0.1%
ValueCountFrequency (%)
191000576787 1
0.1%
69625137920 1
0.1%
29121483722 1
0.1%
20000000000 1
0.1%
18629715213 1
0.1%
12000000000 1
0.1%
10116120757 1
0.1%
7200000000 1
0.1%
5130473986 1
0.1%
5000000000 2
0.3%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing720
Missing (%)100.0%
Memory size6.5 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01전화권유판매업08_26_03_P3410000201234100712420001220121210<NA>3폐업3폐업처리20130730<NA><NA><NA>1544-6149<NA><NA><NA>대구광역시 중구 중앙대로 390 (동성로3가, 센트럴엠빌딩801호)700093에이스네트웍스20130801105910I2018-08-31 23:59:59.0<NA>343957.347707264545.667327<NA><NA><NA><NA>
12전화권유판매업08_26_03_P3410000201334100712420000320100108<NA>3폐업3폐업처리20160318<NA><NA><NA><NA><NA>700060대구광역시 중구 남일동 69번지 2호대구광역시 중구 중앙대로 406-13 (남일동)700060한스정보시스템20160318102126I2018-08-31 23:59:59.0<NA>343939.484772264423.41438<NA><NA><NA><NA>
23전화권유판매업08_26_03_P3410000201334101052420000120131021<NA>3폐업3폐업처리20170120<NA><NA><NA>053-1544-6039<NA><NA><NA>대구광역시 중구 국채보상로 711 (동인동4가, 한일빌딩4층)700846주식회사 인터코리아20170120193838I2018-08-31 23:59:59.0<NA>345190.503288264400.7316981000000000100000000<NA>
34전화권유판매업08_26_03_P3410000201534101202420000420151023<NA>3폐업3폐업처리20161102<NA><NA><NA>070-7500-3337<NA><NA><NA>대구광역시 중구 동덕로26길 96 (삼덕동3가)41948명진상사20161102112238I2018-08-31 23:59:59.0<NA>345208.416053263905.135511<NA><NA><NA><NA>
45전화권유판매업08_26_03_P3410000201534101202420000620151119<NA>3폐업3폐업처리20160324<NA><NA><NA>053-284-1678<NA><NA><NA>대구광역시 중구 명덕로65길 37, 301호 (대봉동, 하나빌딩)41953현대상조(주)현대에스투어20160324170829I2018-08-31 23:59:59.0<NA>344903.621686263051.52828890000000090000000<NA>
56전화권유판매업08_26_03_P3410000201634101202420000120160225<NA>3폐업3폐업처리20160905<NA><NA><NA>053-653-2000<NA><NA><NA>대구광역시 중구 태평로 65-10, 2층 (태평로3가)41901(주)대명이엔씨20160905134530I2018-08-31 23:59:59.0<NA>343098.263297265308.3779761504102960150410296<NA>
67전화권유판매업08_26_03_P3410000201634101202420000320160404<NA>3폐업3폐업처리20181012<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉로 238 (대봉동)41954맥스온라인20181012100919U2018-10-12 23:59:59.0<NA>344559.243778263362.744892<NA><NA><NA><NA>
78전화권유판매업08_26_03_P3410000201434101052420000520151007<NA>3폐업3폐업처리20151007<NA><NA><NA>070-7835-0979<NA>700742대구광역시 중구 덕산동 110번지 삼성생명빌딩26층대구광역시 중구 달구벌대로 2095 (덕산동, 삼성생명빌딩26층)700742(주)다이렉트서비스20151126143406I2018-08-31 23:59:59.0<NA>343787.134091264065.576741687252641106028104910000000<NA>
89전화권유판매업08_26_03_P3410000201434101052420000620140428<NA>3폐업3폐업처리20160930<NA><NA><NA>053-633-6666<NA>700803대구광역시 중구 남산동 659번지 3호대구광역시 중구 중앙대로66길 7-2 (남산동)700803미래정보통신20160930152011I2018-08-31 23:59:59.0<NA>343882.3087263597.453174<NA><NA><NA><NA>
910전화권유판매업08_26_03_P3410000201434101052420000720140513<NA>3폐업3폐업처리20150917<NA><NA><NA>053-626-7909<NA>700847대구광역시 중구 동인동4가 386번지 7호 강남빌딩 3층대구광역시 중구 국채보상로 726, 3층 (동인동4가, 강남빌딩)700847(주)행복웨딩20150917161235I2018-08-31 23:59:59.0<NA>345323.318065264335.308575500136761367650000000<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
710711전화권유판매업08_26_03_P3480000201234803122420000120120125<NA>4취소/말소/만료/정지/중지7직권말소20120617<NA><NA><NA>053-639-6978<NA><NA><NA>대구광역시 달성군 화원읍 설화본길 37711837주식회사 웰라이프20130807181637I2018-08-31 23:59:59.0<NA>334217.966418255754.31940250000000050000000<NA>
711712전화권유판매업08_26_03_P3480000201934803652420000120190717<NA>3폐업3폐업처리20200626<NA><NA><NA>053-526-6989<NA><NA>대구광역시 달성군 화원읍 구라리 850번지대구광역시 달성군 화원읍 구라1길 85-442942(주) 현대에너지시스템20200629184717U2020-07-01 02:40:00.0<NA>334205.734928258299.9509720010000000<NA>
712713전화권유판매업08_26_03_P3480000201034802912420000120101221<NA>3폐업3폐업처리20110523<NA><NA><NA>525-5542<NA>711843대구광역시 달성군 옥포면 기세리 161번지 8호 10통 1반대구광역시 달성군 옥포면 비슬로 2288<NA>참좋은 결혼정보20110523161757I2018-08-31 23:59:59.0<NA>332950.866365255467.253837<NA><NA><NA><NA>
713714전화권유판매업08_26_03_P3480000201134802912420000120110106<NA>3폐업3폐업처리20151130<NA><NA><NA>070-7997-5588<NA>711763대구광역시 달성군 화원읍 명곡리 미래빌1단지 101동 2004호대구광역시 달성군 화원읍 명곡로 11, 101동 2004층711763(주)넥스피아20151130160036I2018-08-31 23:59:59.0<NA>335324.764881256485.112829612352926172260000000<NA>
714715전화권유판매업08_26_03_P3480000202034803652420000120200807<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 659 호반베르디움 더 클래스대구광역시 달성군 유가읍 테크노대로5길 80, 208동 803호 (호반베르디움 더 클래스)43016찬찬통신20200807175248I2020-08-09 00:23:15.0<NA>332707.0244962.0<NA><NA><NA><NA>
715716전화권유판매업08_26_03_P3480000201434803262420000320141013<NA>3폐업3폐업처리20151021<NA><NA><NA>053-521-1227<NA><NA><NA>대구광역시 달성군 화원읍 명천로19길 67711836대아정보통신 주식회사20151021150335I2018-08-31 23:59:59.0<NA>336285.601882256524.4467381185622347328868435160000000<NA>
716717전화권유판매업08_26_03_P3480000200834802892420000220080623<NA>3폐업3폐업처리20111011<NA><NA><NA>637-4450<NA>711834대구광역시 달성군 화원읍 천내리 336번지대구광역시 달성군 화원읍 사문진로7길 56<NA>(주)부건이앤씨20111011095100I2018-08-31 23:59:59.0<NA>334927.976117257031.8070621135701966407227545728474421<NA>
717718전화권유판매업08_26_03_P3480000200734802892420000120070831<NA>3폐업3폐업처리20121026<NA><NA><NA>053-585-7988<NA>711813대구광역시 달성군 다사읍 서재리 422번지대구광역시 달성군 다사읍 서재로 57<NA>(주)제일통신20130729113149I2018-08-31 23:59:59.0<NA>335044.989433264277.1153771200000000390000000810000000<NA>
718719전화권유판매업08_26_03_P3480000201834803652420000120161011<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-644-0200<NA><NA>대구광역시 달성군 현풍읍 중리 471번지 3호대구광역시 달성군 현풍읍 테크노중앙대로5길 243014㈜케이앤티포커스20190416170744U2019-04-18 02:40:00.0<NA>331836.0245197.01600000005000000050000000<NA>
719720전화권유판매업08_26_03_P3480000201434803262420000220140610<NA>3폐업3폐업처리20151022<NA><NA><NA>053-614-0660<NA><NA><NA>대구광역시 달성군 논공읍 논공로9길 68711854(주)디오시스템20151022150005I2018-08-31 23:59:59.0<NA>330379.598982248808.412353276962000050000000<NA>