Overview

Dataset statistics

Number of variables32
Number of observations763
Missing cells5213
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory207.3 KiB
Average record size in memory278.2 B

Variable types

Numeric15
Categorical9
Text4
Unsupported3
DateTime1

Dataset

Description22년12월_6270000_대구광역시_08_26_03_P_전화권유판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097397&dataSetDetailId=DDI_0000097445&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.5%)Imbalance
휴업종료일자 is highly imbalanced (97.5%)Imbalance
재개업일자 is highly imbalanced (98.2%)Imbalance
인허가취소일자 has 709 (92.9%) missing valuesMissing
폐업일자 has 154 (20.2%) missing valuesMissing
소재지전화 has 125 (16.4%) missing valuesMissing
소재지면적 has 763 (100.0%) missing valuesMissing
소재지우편번호 has 347 (45.5%) missing valuesMissing
소재지전체주소 has 172 (22.5%) missing valuesMissing
도로명전체주소 has 19 (2.5%) missing valuesMissing
도로명우편번호 has 360 (47.2%) missing valuesMissing
업태구분명 has 763 (100.0%) missing valuesMissing
좌표정보(X) has 21 (2.8%) missing valuesMissing
좌표정보(Y) has 21 (2.8%) missing valuesMissing
자산규모 has 332 (43.5%) missing valuesMissing
부채총액 has 332 (43.5%) missing valuesMissing
자본금 has 332 (43.5%) missing valuesMissing
판매방식명 has 763 (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 70 (9.2%) zerosZeros
부채총액 has 216 (28.3%) zerosZeros
자본금 has 53 (6.9%) zerosZeros

Reproduction

Analysis started2023-12-10 19:32:08.317740
Analysis finished2023-12-10 19:32:09.293168
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct763
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382
Minimum1
Maximum763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:09.390110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.1
Q1191.5
median382
Q3572.5
95-th percentile724.9
Maximum763
Range762
Interquartile range (IQR)381

Descriptive statistics

Standard deviation220.40342
Coefficient of variation (CV)0.5769723
Kurtosis-1.2
Mean382
Median Absolute Deviation (MAD)191
Skewness0
Sum291466
Variance48577.667
MonotonicityStrictly increasing
2023-12-11T04:32:09.646013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
514 1
 
0.1%
505 1
 
0.1%
506 1
 
0.1%
507 1
 
0.1%
508 1
 
0.1%
509 1
 
0.1%
510 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
Other values (753) 753
98.7%
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 (%)
763 1
0.1%
762 1
0.1%
761 1
0.1%
760 1
0.1%
759 1
0.1%
758 1
0.1%
757 1
0.1%
756 1
0.1%
755 1
0.1%
754 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전화권유판매업
763 

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 763
100.0%

Length

2023-12-11T04:32:09.840191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:09.973828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 763
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
08_26_03_P
763 

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 763
100.0%

Length

2023-12-11T04:32:10.105407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:10.237991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 763
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3438846.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:10.377508image/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 deviation22715.433
Coefficient of variation (CV)0.0066055382
Kurtosis-1.4638038
Mean3438846.7
Median Absolute Deviation (MAD)20000
Skewness0.068208809
Sum2.62384 × 109
Variance5.1599089 × 108
MonotonicityIncreasing
2023-12-11T04:32:10.553963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 178
23.3%
3420000 118
15.5%
3470000 118
15.5%
3460000 117
15.3%
3440000 89
11.7%
3450000 86
11.3%
3430000 44
 
5.8%
3480000 13
 
1.7%
ValueCountFrequency (%)
3410000 178
23.3%
3420000 118
15.5%
3430000 44
 
5.8%
3440000 89
11.7%
3450000 86
11.3%
3460000 117
15.3%
3470000 118
15.5%
3480000 13
 
1.7%
ValueCountFrequency (%)
3480000 13
 
1.7%
3470000 118
15.5%
3460000 117
15.3%
3450000 86
11.3%
3440000 89
11.7%
3430000 44
 
5.8%
3420000 118
15.5%
3410000 178
23.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct763
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0123754 × 1018
Minimum2.003342 × 1018
Maximum2.022347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:10.745672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003342 × 1018
5-th percentile2.005346 × 1018
Q12.008341 × 1018
median2.011346 × 1018
Q32.016342 × 1018
95-th percentile2.021345 × 1018
Maximum2.022347 × 1018
Range1.9005009 × 1016
Interquartile range (IQR)8.0010064 × 1015

Descriptive statistics

Standard deviation4.9255922 × 1015
Coefficient of variation (CV)0.0024476508
Kurtosis-0.99311239
Mean2.0123754 × 1018
Median Absolute Deviation (MAD)3.999 × 1015
Skewness0.37847481
Sum4.3626343 × 1018
Variance2.4261459 × 1031
MonotonicityNot monotonic
2023-12-11T04:32:11.338043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341007124200046 1
 
0.1%
2007345009924200011 1
 
0.1%
2012345009924200004 1
 
0.1%
2014345009924200001 1
 
0.1%
2008345009924200002 1
 
0.1%
2008345009924200004 1
 
0.1%
2008345009924200005 1
 
0.1%
2009345009924200002 1
 
0.1%
2009345009924200003 1
 
0.1%
2007345009924200006 1
 
0.1%
Other values (753) 753
98.7%
ValueCountFrequency (%)
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%
2004342009024200001 1
0.1%
2004344007324200008 1
0.1%
ValueCountFrequency (%)
2022347018124200005 1
0.1%
2022347018124200004 1
0.1%
2022347018124200003 1
0.1%
2022347018124200002 1
0.1%
2022347018124200001 1
0.1%
2022346017724200002 1
0.1%
2022346017724200001 1
0.1%
2022345016024200006 1
0.1%
2022345016024200005 1
0.1%
2022345016024200004 1
0.1%

인허가일자
Real number (ℝ)

Distinct647
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20114525
Minimum20000825
Maximum20221222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:11.615337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000825
5-th percentile20040619
Q120070722
median20110106
Q320151118
95-th percentile20210295
Maximum20221222
Range220397
Interquartile range (IQR)80396.5

Descriptive statistics

Standard deviation53133.189
Coefficient of variation (CV)0.0026415334
Kurtosis-1.0167609
Mean20114525
Median Absolute Deviation (MAD)40300
Skewness0.29907492
Sum1.5347383 × 1010
Variance2.8231358 × 109
MonotonicityNot monotonic
2023-12-11T04:32:11.798441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050407 7
 
0.9%
20070529 6
 
0.8%
20040508 6
 
0.8%
20050411 5
 
0.7%
20111228 4
 
0.5%
20050413 4
 
0.5%
20070710 3
 
0.4%
20051011 3
 
0.4%
20170207 3
 
0.4%
20070712 3
 
0.4%
Other values (637) 719
94.2%
ValueCountFrequency (%)
20000825 1
0.1%
20020821 1
0.1%
20020911 1
0.1%
20021029 2
0.3%
20021209 1
0.1%
20030109 2
0.3%
20030116 1
0.1%
20030118 1
0.1%
20030320 1
0.1%
20030516 1
0.1%
ValueCountFrequency (%)
20221222 2
0.3%
20221130 1
0.1%
20221118 1
0.1%
20221031 1
0.1%
20221027 1
0.1%
20220907 1
0.1%
20220825 1
0.1%
20220810 1
0.1%
20220804 1
0.1%
20220715 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)40.7%
Missing709
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean20099430
Minimum20061101
Maximum20220310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:11.986085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061101
5-th percentile20080715
Q120080930
median20090122
Q320118147
95-th percentile20147945
Maximum20220310
Range159209
Interquartile range (IQR)37216.75

Descriptive statistics

Standard deviation29511.835
Coefficient of variation (CV)0.0014682922
Kurtosis6.4683355
Mean20099430
Median Absolute Deviation (MAD)9192
Skewness2.3286903
Sum1.0853692 × 109
Variance8.7094841 × 108
MonotonicityNot monotonic
2023-12-11T04:32:12.213087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20090122 8
 
1.0%
20120823 8
 
1.0%
20080930 6
 
0.8%
20090828 5
 
0.7%
20090813 4
 
0.5%
20080812 4
 
0.5%
20080715 3
 
0.4%
20081024 2
 
0.3%
20080730 1
 
0.1%
20090227 1
 
0.1%
Other values (12) 12
 
1.6%
(Missing) 709
92.9%
ValueCountFrequency (%)
20061101 1
 
0.1%
20071112 1
 
0.1%
20080715 3
 
0.4%
20080730 1
 
0.1%
20080812 4
0.5%
20080930 6
0.8%
20081024 2
 
0.3%
20081215 1
 
0.1%
20081229 1
 
0.1%
20090122 8
1.0%
ValueCountFrequency (%)
20220310 1
 
0.1%
20201112 1
 
0.1%
20160831 1
 
0.1%
20141006 1
 
0.1%
20130802 1
 
0.1%
20130705 1
 
0.1%
20120823 8
1.0%
20110118 1
 
0.1%
20090828 5
0.7%
20090813 4
0.5%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
3
378 
4
248 
1
135 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 378
49.5%
4 248
32.5%
1 135
 
17.7%
2 2
 
0.3%

Length

2023-12-11T04:32:12.384727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:12.533894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 378
49.5%
4 248
32.5%
1 135
 
17.7%
2 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
폐업
378 
취소/말소/만료/정지/중지
248 
영업/정상
135 
휴업
 
2

Length

Max length14
Median length5
Mean length6.4311927
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 378
49.5%
취소/말소/만료/정지/중지 248
32.5%
영업/정상 135
 
17.7%
휴업 2
 
0.3%

Length

2023-12-11T04:32:12.687778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:12.840422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 378
49.5%
취소/말소/만료/정지/중지 248
32.5%
영업/정상 135
 
17.7%
휴업 2
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7300131
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:12.988645image/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 deviation2.0710423
Coefficient of variation (CV)0.55523727
Kurtosis-0.88744774
Mean3.7300131
Median Absolute Deviation (MAD)1
Skewness0.56912378
Sum2846
Variance4.2892161
MonotonicityNot monotonic
2023-12-11T04:32:13.124048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 378
49.5%
7 192
25.2%
1 134
 
17.6%
4 56
 
7.3%
2 2
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
1 134
 
17.6%
2 2
 
0.3%
3 378
49.5%
4 56
 
7.3%
6 1
 
0.1%
7 192
25.2%
ValueCountFrequency (%)
7 192
25.2%
6 1
 
0.1%
4 56
 
7.3%
3 378
49.5%
2 2
 
0.3%
1 134
 
17.6%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
폐업처리
378 
직권말소
192 
정상영업
134 
직권취소
56 
휴업처리
 
2

Length

Max length6
Median length4
Mean length4.0026212
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 378
49.5%
직권말소 192
25.2%
정상영업 134
 
17.6%
직권취소 56
 
7.3%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

Length

2023-12-11T04:32:13.302716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:13.439531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 378
49.5%
직권말소 192
25.2%
정상영업 134
 
17.6%
직권취소 56
 
7.3%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct419
Distinct (%)68.8%
Missing154
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean20133719
Minimum20030731
Maximum20221202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:13.610936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030731
5-th percentile20070635
Q120100416
median20140117
Q320161128
95-th percentile20201188
Maximum20221202
Range190471
Interquartile range (IQR)60712

Descriptive statistics

Standard deviation41794.24
Coefficient of variation (CV)0.0020758331
Kurtosis-0.72049859
Mean20133719
Median Absolute Deviation (MAD)31013
Skewness0.038075573
Sum1.2261435 × 1010
Variance1.7467585 × 109
MonotonicityNot monotonic
2023-12-11T04:32:13.827188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100416 26
 
3.4%
20141219 15
 
2.0%
20151230 12
 
1.6%
20090122 8
 
1.0%
20120823 8
 
1.0%
20091130 8
 
1.0%
20090828 6
 
0.8%
20080930 6
 
0.8%
20100324 5
 
0.7%
20111202 5
 
0.7%
Other values (409) 510
66.8%
(Missing) 154
 
20.2%
ValueCountFrequency (%)
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%
20050324 1
0.1%
20050621 1
0.1%
ValueCountFrequency (%)
20221202 1
0.1%
20221005 1
0.1%
20220927 1
0.1%
20220922 1
0.1%
20220921 1
0.1%
20220914 1
0.1%
20220710 1
0.1%
20220531 2
0.3%
20220525 1
0.1%
20220310 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
759 
20200921
 
1
20060515
 
1
20180914
 
1
20151028
 
1

Length

Max length8
Median length4
Mean length4.0209699
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 759
99.5%
20200921 1
 
0.1%
20060515 1
 
0.1%
20180914 1
 
0.1%
20151028 1
 
0.1%

Length

2023-12-11T04:32:14.046707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:14.186339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 759
99.5%
20200921 1
 
0.1%
20060515 1
 
0.1%
20180914 1
 
0.1%
20151028 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
759 
20210921
 
1
20061015
 
1
20181214
 
1
20160930
 
1

Length

Max length8
Median length4
Mean length4.0209699
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 759
99.5%
20210921 1
 
0.1%
20061015 1
 
0.1%
20181214 1
 
0.1%
20160930 1
 
0.1%

Length

2023-12-11T04:32:14.332227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:14.502309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 759
99.5%
20210921 1
 
0.1%
20061015 1
 
0.1%
20181214 1
 
0.1%
20160930 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
761 
20151023
 
1
20160823
 
1

Length

Max length8
Median length4
Mean length4.0104849
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> 761
99.7%
20151023 1
 
0.1%
20160823 1
 
0.1%

Length

2023-12-11T04:32:14.687878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:14.814778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 761
99.7%
20151023 1
 
0.1%
20160823 1
 
0.1%

소재지전화
Text

MISSING 

Distinct604
Distinct (%)94.7%
Missing125
Missing (%)16.4%
Memory size6.1 KiB
2023-12-11T04:32:15.040824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.487461
Min length1

Characters and Unicode

Total characters7329
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

Unique573 ?
Unique (%)89.8%

Sample

1st row053 252 5100
2nd row053 242 8585
3rd row255 7119
4th row053 426 1507
5th row053 253 0172
ValueCountFrequency (%)
053 110
 
12.6%
424 9
 
1.0%
256 6
 
0.7%
253 6
 
0.7%
254 5
 
0.6%
242 5
 
0.6%
2000 5
 
0.6%
0000 4
 
0.5%
426 4
 
0.5%
217 4
 
0.5%
Other values (636) 716
81.9%
2023-12-11T04:32:15.472328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1237
16.9%
5 994
13.6%
- 905
12.3%
3 859
11.7%
2 583
8.0%
1 493
 
6.7%
7 443
 
6.0%
6 434
 
5.9%
4 414
 
5.6%
8 381
 
5.2%
Other values (7) 586
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6176
84.3%
Dash Punctuation 905
 
12.3%
Space Separator 237
 
3.2%
Other Punctuation 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1237
20.0%
5 994
16.1%
3 859
13.9%
2 583
9.4%
1 493
 
8.0%
7 443
 
7.2%
6 434
 
7.0%
4 414
 
6.7%
8 381
 
6.2%
9 338
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
/ 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 905
100.0%
Space Separator
ValueCountFrequency (%)
237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7329
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1237
16.9%
5 994
13.6%
- 905
12.3%
3 859
11.7%
2 583
8.0%
1 493
 
6.7%
7 443
 
6.0%
6 434
 
5.9%
4 414
 
5.6%
8 381
 
5.2%
Other values (7) 586
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1237
16.9%
5 994
13.6%
- 905
12.3%
3 859
11.7%
2 583
8.0%
1 493
 
6.7%
7 443
 
6.0%
6 434
 
5.9%
4 414
 
5.6%
8 381
 
5.2%
Other values (7) 586
8.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing763
Missing (%)100.0%
Memory size6.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)39.2%
Missing347
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean702707.77
Minimum700010
Maximum711852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:15.634125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700200
Q1700440
median702062
Q3704360
95-th percentile706080
Maximum711852
Range11842
Interquartile range (IQR)3920

Descriptive statistics

Standard deviation2305.2483
Coefficient of variation (CV)0.003280522
Kurtosis1.009403
Mean702707.77
Median Absolute Deviation (MAD)1686.5
Skewness0.89595362
Sum2.9232643 × 108
Variance5314169.6
MonotonicityNot monotonic
2023-12-11T04:32:15.807196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705030 22
 
2.9%
701020 21
 
2.8%
700440 17
 
2.2%
700351 15
 
2.0%
704060 14
 
1.8%
704340 13
 
1.7%
700412 11
 
1.4%
701010 10
 
1.3%
700400 8
 
1.0%
700430 7
 
0.9%
Other values (153) 278
36.4%
(Missing) 347
45.5%
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 

Distinct433
Distinct (%)73.3%
Missing172
Missing (%)22.5%
Memory size6.1 KiB
2023-12-11T04:32:16.179936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length25.358714
Min length16

Characters and Unicode

Total characters14987
Distinct characters263
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

Unique351 ?
Unique (%)59.4%

Sample

1st row대구광역시 중구 공평동 **번지 *호
2nd row대구광역시 중구 삼덕동*가 ***번지 *호
3rd row대구광역시 중구 대봉동 *번지 **호
4th row대구광역시 중구 북성로*가 **번지 *호
5th row대구광역시 중구 동인동*가 ***번지 **호
ValueCountFrequency (%)
대구광역시 591
17.8%
호 525
15.8%
번지 524
15.8%
층 160
 
4.8%
중구 148
 
4.5%
동구 95
 
2.9%
달서구 85
 
2.6%
남구 82
 
2.5%
수성구 73
 
2.2%
대명동 67
 
2.0%
Other values (324) 972
29.3%
2023-12-11T04:32:16.734643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3081
20.6%
2747
18.3%
구 1191
 
7.9%
동 717
 
4.8%
대 707
 
4.7%
시 601
 
4.0%
광 595
 
4.0%
역 594
 
4.0%
지 555
 
3.7%
호 551
 
3.7%
Other values (253) 3648
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9027
60.2%
Other Punctuation 3088
 
20.6%
Space Separator 2747
 
18.3%
Dash Punctuation 59
 
0.4%
Uppercase Letter 27
 
0.2%
Decimal Number 23
 
0.2%
Lowercase Letter 13
 
0.1%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1191
13.2%
동 717
 
7.9%
대 707
 
7.8%
시 601
 
6.7%
광 595
 
6.6%
역 594
 
6.6%
지 555
 
6.1%
호 551
 
6.1%
번 526
 
5.8%
층 194
 
2.1%
Other values (223) 2796
31.0%
Decimal Number
ValueCountFrequency (%)
1 8
34.8%
3 5
21.7%
7 3
 
13.0%
0 2
 
8.7%
4 1
 
4.3%
6 1
 
4.3%
9 1
 
4.3%
5 1
 
4.3%
8 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 9
33.3%
T 6
22.2%
S 6
22.2%
G 2
 
7.4%
B 1
 
3.7%
F 1
 
3.7%
I 1
 
3.7%
O 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 3081
99.8%
, 4
 
0.1%
/ 2
 
0.1%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 6
46.2%
t 4
30.8%
s 2
 
15.4%
c 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2747
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9027
60.2%
Common 5920
39.5%
Latin 40
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1191
13.2%
동 717
 
7.9%
대 707
 
7.8%
시 601
 
6.7%
광 595
 
6.6%
역 594
 
6.6%
지 555
 
6.1%
호 551
 
6.1%
번 526
 
5.8%
층 194
 
2.1%
Other values (223) 2796
31.0%
Common
ValueCountFrequency (%)
* 3081
52.0%
2747
46.4%
- 59
 
1.0%
1 8
 
0.1%
3 5
 
0.1%
, 4
 
0.1%
7 3
 
0.1%
0 2
 
< 0.1%
/ 2
 
< 0.1%
4 1
 
< 0.1%
Other values (8) 8
 
0.1%
Latin
ValueCountFrequency (%)
K 9
22.5%
T 6
15.0%
S 6
15.0%
k 6
15.0%
t 4
10.0%
G 2
 
5.0%
s 2
 
5.0%
B 1
 
2.5%
F 1
 
2.5%
I 1
 
2.5%
Other values (2) 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9027
60.2%
ASCII 5960
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3081
51.7%
2747
46.1%
- 59
 
1.0%
K 9
 
0.2%
1 8
 
0.1%
T 6
 
0.1%
S 6
 
0.1%
k 6
 
0.1%
3 5
 
0.1%
, 4
 
0.1%
Other values (20) 29
 
0.5%
Hangul
ValueCountFrequency (%)
구 1191
13.2%
동 717
 
7.9%
대 707
 
7.8%
시 601
 
6.7%
광 595
 
6.6%
역 594
 
6.6%
지 555
 
6.1%
호 551
 
6.1%
번 526
 
5.8%
층 194
 
2.1%
Other values (223) 2796
31.0%

도로명전체주소
Text

MISSING 

Distinct628
Distinct (%)84.4%
Missing19
Missing (%)2.5%
Memory size6.1 KiB
2023-12-11T04:32:17.130337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length29.665323
Min length13

Characters and Unicode

Total characters22071
Distinct characters324
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

Unique556 ?
Unique (%)74.7%

Sample

1st row대구광역시 중구 동성로*길 ** (공평동)
2nd row대구광역시 중구 달구벌대로 **** (삼덕동*가)
3rd row대구광역시 중구 동덕로**길 ** (대봉동)
4th row대구광역시 중구 중앙대로 *** (북성로*가)
5th row대구광역시 중구 태평로 *** (동인동*가)
ValueCountFrequency (%)
대구광역시 744
17.1%
741
17.1%
층 257
 
5.9%
중구 173
 
4.0%
호 138
 
3.2%
달서구 116
 
2.7%
수성구 114
 
2.6%
동구 113
 
2.6%
남구 85
 
2.0%
북구 83
 
1.9%
Other values (649) 1782
41.0%
2023-12-11T04:32:17.774180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3614
16.4%
* 3472
15.7%
구 1630
 
7.4%
대 1093
 
5.0%
동 1030
 
4.7%
시 760
 
3.4%
로 757
 
3.4%
역 749
 
3.4%
광 748
 
3.4%
) 735
 
3.3%
Other values (314) 7483
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12762
57.8%
Other Punctuation 4057
 
18.4%
Space Separator 3614
 
16.4%
Close Punctuation 735
 
3.3%
Open Punctuation 734
 
3.3%
Dash Punctuation 85
 
0.4%
Uppercase Letter 47
 
0.2%
Decimal Number 20
 
0.1%
Lowercase Letter 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1630
 
12.8%
대 1093
 
8.6%
동 1030
 
8.1%
시 760
 
6.0%
로 757
 
5.9%
역 749
 
5.9%
광 748
 
5.9%
층 361
 
2.8%
성 261
 
2.0%
중 241
 
1.9%
Other values (283) 5132
40.2%
Uppercase Letter
ValueCountFrequency (%)
K 15
31.9%
T 12
25.5%
S 6
 
12.8%
G 3
 
6.4%
A 3
 
6.4%
B 3
 
6.4%
D 1
 
2.1%
O 1
 
2.1%
I 1
 
2.1%
L 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 6
30.0%
2 4
20.0%
8 3
15.0%
0 2
 
10.0%
3 2
 
10.0%
5 2
 
10.0%
4 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 3472
85.6%
, 582
 
14.3%
/ 2
 
< 0.1%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 7
46.7%
t 5
33.3%
s 2
 
13.3%
c 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3614
100.0%
Close Punctuation
ValueCountFrequency (%)
) 735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12762
57.8%
Common 9247
41.9%
Latin 62
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1630
 
12.8%
대 1093
 
8.6%
동 1030
 
8.1%
시 760
 
6.0%
로 757
 
5.9%
역 749
 
5.9%
광 748
 
5.9%
층 361
 
2.8%
성 261
 
2.0%
중 241
 
1.9%
Other values (283) 5132
40.2%
Common
ValueCountFrequency (%)
3614
39.1%
* 3472
37.5%
) 735
 
7.9%
( 734
 
7.9%
, 582
 
6.3%
- 85
 
0.9%
1 6
 
0.1%
2 4
 
< 0.1%
8 3
 
< 0.1%
~ 2
 
< 0.1%
Other values (6) 10
 
0.1%
Latin
ValueCountFrequency (%)
K 15
24.2%
T 12
19.4%
k 7
11.3%
S 6
 
9.7%
t 5
 
8.1%
G 3
 
4.8%
A 3
 
4.8%
B 3
 
4.8%
s 2
 
3.2%
D 1
 
1.6%
Other values (5) 5
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12762
57.8%
ASCII 9309
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3614
38.8%
* 3472
37.3%
) 735
 
7.9%
( 734
 
7.9%
, 582
 
6.3%
- 85
 
0.9%
K 15
 
0.2%
T 12
 
0.1%
k 7
 
0.1%
1 6
 
0.1%
Other values (21) 47
 
0.5%
Hangul
ValueCountFrequency (%)
구 1630
 
12.8%
대 1093
 
8.6%
동 1030
 
8.1%
시 760
 
6.0%
로 757
 
5.9%
역 749
 
5.9%
광 748
 
5.9%
층 361
 
2.8%
성 261
 
2.0%
중 241
 
1.9%
Other values (283) 5132
40.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct311
Distinct (%)77.2%
Missing360
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean317865.78
Minimum41026
Maximum711854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:17.962992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41216.6
Q141951.5
median42660
Q3702062
95-th percentile706820
Maximum711854
Range670828
Interquartile range (IQR)660110.5

Descriptive statistics

Standard deviation326664.01
Coefficient of variation (CV)1.027679
Kurtosis-1.8946984
Mean317865.78
Median Absolute Deviation (MAD)1400
Skewness0.3385393
Sum1.2809991 × 108
Variance1.0670937 × 1011
MonotonicityNot monotonic
2023-12-11T04:32:18.150521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41260 7
 
0.9%
41967 6
 
0.8%
41775 5
 
0.7%
705810 4
 
0.5%
42486 4
 
0.5%
42420 4
 
0.5%
701240 4
 
0.5%
700093 3
 
0.4%
702062 3
 
0.4%
706170 3
 
0.4%
Other values (301) 360
47.2%
(Missing) 360
47.2%
ValueCountFrequency (%)
41026 1
0.1%
41034 1
0.1%
41065 1
0.1%
41078 1
0.1%
41086 1
0.1%
41104 1
0.1%
41112 2
0.3%
41121 1
0.1%
41143 1
0.1%
41146 2
0.3%
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

Distinct738
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T04:32:18.448006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length7.8990826
Min length1

Characters and Unicode

Total characters6027
Distinct characters424
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique715 ?
Unique (%)93.7%

Sample

1st row(주)스마트통신
2nd row(주)유니넷
3rd row전진유통
4th row세진통상
5th row한성통상
ValueCountFrequency (%)
주식회사 121
 
12.2%
주 26
 
2.6%
농업회사법인 5
 
0.5%
코리아 4
 
0.4%
it 4
 
0.4%
홈쇼핑 4
 
0.4%
미래정보통신 3
 
0.3%
정보통신 3
 
0.3%
고구려통신 3
 
0.3%
주)파워트윈스 3
 
0.3%
Other values (779) 818
82.3%
2023-12-11T04:32:18.994980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 399
 
6.6%
) 282
 
4.7%
( 282
 
4.7%
231
 
3.8%
이 180
 
3.0%
사 177
 
2.9%
스 164
 
2.7%
회 148
 
2.5%
통 141
 
2.3%
식 135
 
2.2%
Other values (414) 3888
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4970
82.5%
Close Punctuation 282
 
4.7%
Open Punctuation 282
 
4.7%
Space Separator 231
 
3.8%
Uppercase Letter 159
 
2.6%
Lowercase Letter 58
 
1.0%
Other Punctuation 22
 
0.4%
Decimal Number 17
 
0.3%
Other Symbol 3
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 399
 
8.0%
이 180
 
3.6%
사 177
 
3.6%
스 164
 
3.3%
회 148
 
3.0%
통 141
 
2.8%
식 135
 
2.7%
신 134
 
2.7%
보 106
 
2.1%
정 103
 
2.1%
Other values (361) 3283
66.1%
Uppercase Letter
ValueCountFrequency (%)
T 21
13.2%
I 18
11.3%
S 18
11.3%
N 9
 
5.7%
C 9
 
5.7%
G 9
 
5.7%
K 9
 
5.7%
D 8
 
5.0%
F 7
 
4.4%
B 7
 
4.4%
Other values (13) 44
27.7%
Lowercase Letter
ValueCountFrequency (%)
e 8
13.8%
n 8
13.8%
t 5
8.6%
i 5
8.6%
a 4
 
6.9%
r 4
 
6.9%
c 4
 
6.9%
o 4
 
6.9%
s 3
 
5.2%
d 3
 
5.2%
Other values (7) 10
17.2%
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%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Space Separator
ValueCountFrequency (%)
231
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4971
82.5%
Common 837
 
13.9%
Latin 217
 
3.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 399
 
8.0%
이 180
 
3.6%
사 177
 
3.6%
스 164
 
3.3%
회 148
 
3.0%
통 141
 
2.8%
식 135
 
2.7%
신 134
 
2.7%
보 106
 
2.1%
정 103
 
2.1%
Other values (360) 3284
66.1%
Latin
ValueCountFrequency (%)
T 21
 
9.7%
I 18
 
8.3%
S 18
 
8.3%
N 9
 
4.1%
C 9
 
4.1%
G 9
 
4.1%
K 9
 
4.1%
e 8
 
3.7%
D 8
 
3.7%
n 8
 
3.7%
Other values (30) 100
46.1%
Common
ValueCountFrequency (%)
) 282
33.7%
( 282
33.7%
231
27.6%
. 10
 
1.2%
1 8
 
1.0%
& 8
 
1.0%
4 4
 
0.5%
, 3
 
0.4%
0 3
 
0.4%
- 3
 
0.4%
Other values (2) 3
 
0.4%
Han
ValueCountFrequency (%)
煐 1
50.0%
參 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4968
82.4%
ASCII 1054
 
17.5%
None 3
 
< 0.1%
CJK 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 399
 
8.0%
이 180
 
3.6%
사 177
 
3.6%
스 164
 
3.3%
회 148
 
3.0%
통 141
 
2.8%
식 135
 
2.7%
신 134
 
2.7%
보 106
 
2.1%
정 103
 
2.1%
Other values (359) 3281
66.0%
ASCII
ValueCountFrequency (%)
) 282
26.8%
( 282
26.8%
231
21.9%
T 21
 
2.0%
I 18
 
1.7%
S 18
 
1.7%
. 10
 
0.9%
N 9
 
0.9%
C 9
 
0.9%
G 9
 
0.9%
Other values (42) 165
15.7%
None
ValueCountFrequency (%)
㈜ 3
100.0%
CJK
ValueCountFrequency (%)
煐 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
參 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct763
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145735 × 1013
Minimum2.007073 × 1013
Maximum2.0221223 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:19.199992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007073 × 1013
5-th percentile2.0080738 × 1013
Q12.0110121 × 1013
median2.0151007 × 1013
Q32.0181004 × 1013
95-th percentile2.0219216 × 1013
Maximum2.0221223 × 1013
Range1.5049298 × 1011
Interquartile range (IQR)7.0883021 × 1010

Descriptive statistics

Standard deviation4.315523 × 1010
Coefficient of variation (CV)0.0021421521
Kurtosis-1.0898629
Mean2.0145735 × 1013
Median Absolute Deviation (MAD)3.0793041 × 1010
Skewness0.046420845
Sum1.5371196 × 1016
Variance1.8623739 × 1021
MonotonicityNot monotonic
2023-12-11T04:32:19.419295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100419104816 1
 
0.1%
20070730135412 1
 
0.1%
20170426095620 1
 
0.1%
20150909103254 1
 
0.1%
20160323150640 1
 
0.1%
20141210141058 1
 
0.1%
20090403131030 1
 
0.1%
20100630175828 1
 
0.1%
20171215155533 1
 
0.1%
20100115175831 1
 
0.1%
Other values (753) 753
98.7%
ValueCountFrequency (%)
20070730112601 1
0.1%
20070730112641 1
0.1%
20070730135412 1
0.1%
20070802124027 1
0.1%
20070802124233 1
0.1%
20070802124303 1
0.1%
20070802133932 1
0.1%
20070802134653 1
0.1%
20070802135142 1
0.1%
20070802141133 1
0.1%
ValueCountFrequency (%)
20221223091459 1
0.1%
20221222095111 1
0.1%
20221220132952 1
0.1%
20221219160612 1
0.1%
20221205112029 1
0.1%
20221130093117 1
0.1%
20221118153305 1
0.1%
20221031101349 1
0.1%
20221027170626 1
0.1%
20221005150655 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
I
633 
U
130 

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
83.0%
U 130
 
17.0%

Length

2023-12-11T04:32:19.959442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:32:20.095533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 633
83.0%
u 130
 
17.0%

데이터갱신일자
Date

Distinct175
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-24 00:40:15
2023-12-11T04:32:20.282076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:32:20.515836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing763
Missing (%)100.0%
Memory size6.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct556
Distinct (%)74.9%
Missing21
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean343908.08
Minimum329997.18
Maximum356771.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:20.748658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329997.18
5-th percentile337698.22
Q1341529.98
median343960.81
Q3346236.59
95-th percentile350768.04
Maximum356771.2
Range26774.023
Interquartile range (IQR)4706.6053

Descriptive statistics

Standard deviation3988.496
Coefficient of variation (CV)0.011597564
Kurtosis1.4175612
Mean343908.08
Median Absolute Deviation (MAD)2388.3102
Skewness0.29899526
Sum2.5517979 × 108
Variance15908101
MonotonicityNot monotonic
2023-12-11T04:32:20.959725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343960.811871195 15
 
2.0%
344686.25933796 11
 
1.4%
347112.221709537 6
 
0.8%
339679.576629298 6
 
0.8%
343724.113964194 5
 
0.7%
346594.635070329 5
 
0.7%
345612.432782151 5
 
0.7%
346708.407018948 5
 
0.7%
344858.344663181 4
 
0.5%
346236.585588672 4
 
0.5%
Other values (546) 676
88.6%
(Missing) 21
 
2.8%
ValueCountFrequency (%)
329997.180892182 1
0.1%
330379.598981756 1
0.1%
331708.939165765 1
0.1%
332679.572242231 1
0.1%
332950.866365004 1
0.1%
334105.944189158 1
0.1%
334205.415772566 1
0.1%
334217.966418106 1
0.1%
334621.225167521 1
0.1%
334847.191883854 1
0.1%
ValueCountFrequency (%)
356771.204272608 1
0.1%
356391.674186182 1
0.1%
356074.44937483 1
0.1%
355857.357218327 2
0.3%
355698.810726211 1
0.1%
355681.445460699 1
0.1%
355638.832800121 1
0.1%
355584.792491306 1
0.1%
355436.833190537 1
0.1%
354982.880901313 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct556
Distinct (%)74.9%
Missing21
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean263558.4
Minimum245043.09
Maximum274818.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:21.183695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245043.09
5-th percentile259064.52
Q1261849.7
median263803.71
Q3264838.14
95-th percentile268632.6
Maximum274818.56
Range29775.473
Interquartile range (IQR)2988.4387

Descriptive statistics

Standard deviation3026.1209
Coefficient of variation (CV)0.011481785
Kurtosis5.8375606
Mean263558.4
Median Absolute Deviation (MAD)1280.9307
Skewness-0.37356134
Sum1.9556034 × 108
Variance9157408
MonotonicityNot monotonic
2023-12-11T04:32:21.416157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264947.507124835 15
 
2.0%
263958.880864104 11
 
1.4%
259244.441757074 6
 
0.8%
259462.411821886 6
 
0.8%
263960.603586225 5
 
0.7%
264578.070096128 5
 
0.7%
265687.329766269 5
 
0.7%
264492.86063878 5
 
0.7%
264643.95309701 4
 
0.5%
263430.838093142 4
 
0.5%
Other values (546) 676
88.6%
(Missing) 21
 
2.8%
ValueCountFrequency (%)
245043.089817433 1
0.1%
245188.609978298 1
0.1%
248650.026600299 1
0.1%
248808.4123526 1
0.1%
255467.253836975 1
0.1%
255754.319402079 1
0.1%
256485.112000467 1
0.1%
256521.258737752 1
0.1%
256550.372202245 1
0.1%
257031.807062139 1
0.1%
ValueCountFrequency (%)
274818.56279394 1
0.1%
273733.771245585 2
0.3%
273712.08248913 1
0.1%
273543.383721685 1
0.1%
272914.692554929 1
0.1%
272659.523295073 1
0.1%
272464.310801826 1
0.1%
272309.461235988 1
0.1%
271973.249973628 1
0.1%
271709.658988409 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct227
Distinct (%)52.7%
Missing332
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean8.8975457 × 109
Minimum0
Maximum2.4002319 × 1012
Zeros70
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2023-12-11T04:32:21.651725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130000000
median1 × 108
Q34.1961483 × 108
95-th percentile5.4698246 × 109
Maximum2.4002319 × 1012
Range2.4002319 × 1012
Interquartile range (IQR)3.8961483 × 108

Descriptive statistics

Standard deviation1.1952813 × 1011
Coefficient of variation (CV)13.433831
Kurtosis375.75849
Mean8.8975457 × 109
Median Absolute Deviation (MAD)1 × 108
Skewness18.952569
Sum3.8348422 × 1012
Variance1.4286973 × 1022
MonotonicityNot monotonic
2023-12-11T04:32:21.888077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
9.2%
50000000 58
 
7.6%
100000000 22
 
2.9%
10000000 13
 
1.7%
30000000 10
 
1.3%
150000000 7
 
0.9%
300000000 7
 
0.9%
20000000 6
 
0.8%
200000000 4
 
0.5%
160000000 4
 
0.5%
Other values (217) 230
30.1%
(Missing) 332
43.5%
ValueCountFrequency (%)
0 70
9.2%
1000000 4
 
0.5%
5000000 3
 
0.4%
6000000 1
 
0.1%
9000000 1
 
0.1%
10000000 13
 
1.7%
10100000 1
 
0.1%
12000000 1
 
0.1%
20000000 6
 
0.8%
24576745 1
 
0.1%
ValueCountFrequency (%)
2400231880000 1
0.1%
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%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct205
Distinct (%)47.6%
Missing332
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean6.7802993 × 109
Minimum-10000000
Maximum2.190137 × 1012
Zeros216
Zeros (%)28.3%
Negative1
Negative (%)0.1%
Memory size6.8 KiB
2023-12-11T04:32:22.099153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median0
Q31.683547 × 108
95-th percentile2.4453634 × 109
Maximum2.190137 × 1012
Range2.190147 × 1012
Interquartile range (IQR)1.683547 × 108

Descriptive statistics

Standard deviation1.0701591 × 1011
Coefficient of variation (CV)15.783361
Kurtosis405.79601
Mean6.7802993 × 109
Median Absolute Deviation (MAD)0
Skewness19.918095
Sum2.922309 × 1012
Variance1.1452405 × 1022
MonotonicityNot monotonic
2023-12-11T04:32:22.303165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 216
28.3%
5000000 5
 
0.7%
50000000 4
 
0.5%
30000000 3
 
0.4%
20000000 2
 
0.3%
100000000 2
 
0.3%
8326650 1
 
0.1%
2116783434 1
 
0.1%
198109270 1
 
0.1%
32789650 1
 
0.1%
Other values (195) 195
25.6%
(Missing) 332
43.5%
ValueCountFrequency (%)
-10000000 1
 
0.1%
0 216
28.3%
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 (%)
2190136970000 1
0.1%
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%
5000000000 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct123
Distinct (%)28.5%
Missing332
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean1.575695 × 109
Minimum-1.4810772 × 108
Maximum2.10095 × 1011
Zeros53
Zeros (%)6.9%
Negative3
Negative (%)0.4%
Memory size6.8 KiB
2023-12-11T04:32:22.479870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.4810772 × 108
5-th percentile0
Q127308230
median50000000
Q31.6 × 108
95-th percentile2.5371946 × 109
Maximum2.10095 × 1011
Range2.1024311 × 1011
Interquartile range (IQR)1.3269177 × 108

Descriptive statistics

Standard deviation1.4187171 × 1010
Coefficient of variation (CV)9.0037541
Kurtosis183.2718
Mean1.575695 × 109
Median Absolute Deviation (MAD)50000000
Skewness13.264385
Sum6.7912456 × 1011
Variance2.0127581 × 1020
MonotonicityNot monotonic
2023-12-11T04:32:22.641602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 121
 
15.9%
0 53
 
6.9%
100000000 25
 
3.3%
10000000 23
 
3.0%
30000000 19
 
2.5%
300000000 15
 
2.0%
150000000 11
 
1.4%
160000000 11
 
1.4%
20000000 11
 
1.4%
200000000 8
 
1.0%
Other values (113) 134
17.6%
(Missing) 332
43.5%
ValueCountFrequency (%)
-148107720 1
 
0.1%
-104768498 1
 
0.1%
-49431530 1
 
0.1%
0 53
6.9%
1000000 5
 
0.7%
2000000 1
 
0.1%
2884689 1
 
0.1%
5000000 5
 
0.7%
9000000 1
 
0.1%
10000000 23
3.0%
ValueCountFrequency (%)
210094998000 1
0.1%
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%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing763
Missing (%)100.0%
Memory size6.8 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01전화권유판매업08_26_03_P3410000200834100712420004620050411<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 252 5100<NA>700150대구광역시 중구 공평동 **번지 *호대구광역시 중구 동성로*길 ** (공평동)<NA>(주)스마트통신20100419104816I2018-08-31 23:59:59.0<NA>344145.701897264375.8333951207945474103805926550000000<NA>
12전화권유판매업08_26_03_P3410000200834100712420004820050407<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 242 8585<NA>700412대구광역시 중구 삼덕동*가 ***번지 *호대구광역시 중구 달구벌대로 **** (삼덕동*가)<NA>(주)유니넷20100419104658I2018-08-31 23:59:59.0<NA>344531.569541263851.78846460570194252983411552718531<NA>
23전화권유판매업08_26_03_P3410000200834100712420005420050203<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>255 7119<NA>700430대구광역시 중구 대봉동 *번지 **호대구광역시 중구 동덕로**길 ** (대봉동)<NA>전진유통20100419104455I2018-08-31 23:59:59.0<NA>345006.058197263461.503512<NA><NA><NA><NA>
34전화권유판매업08_26_03_P3410000200834100712420005620050121<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 426 1507<NA>700351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>세진통상20100419104344I2018-08-31 23:59:59.0<NA>343960.811871264947.507125<NA><NA><NA><NA>
45전화권유판매업08_26_03_P3410000200834100712420005820040915<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 253 0172<NA>700423대구광역시 중구 동인동*가 ***번지 **호대구광역시 중구 태평로 *** (동인동*가)<NA>한성통상20100419104221I2018-08-31 23:59:59.0<NA>345185.142066264817.514444<NA><NA><NA><NA>
56전화권유판매업08_26_03_P3410000200834100712420005920040805<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 257 9012<NA>700424대구광역시 중구 동인동*가 **번지 원진빌딩 *층대구광역시 중구 국채보상로 *** (동인동*가,원진빌딩 *층)<NA>우석컨설팅20100419103949I2018-08-31 23:59:59.0<NA>345271.282498264397.297213<NA><NA><NA><NA>
67전화권유판매업08_26_03_P3410000200834100712420006420040508<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 475 2726<NA>700351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>삼구통상20100419103845I2018-08-31 23:59:59.0<NA>343960.811871264947.507125<NA><NA><NA><NA>
78전화권유판매업08_26_03_P3410000200834100712420006520040508<NA>4취소/말소/만료/정지/중지7직권말소20040824<NA><NA><NA>053 256 5519<NA>700351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>롯데통상20100419103749I2018-08-31 23:59:59.0<NA>343960.811871264947.507125<NA><NA><NA><NA>
89전화권유판매업08_26_03_P3410000200834100712420006620040508<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 254 6772<NA>700351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>세신통상20100419103712I2018-08-31 23:59:59.0<NA>343960.811871264947.507125<NA><NA><NA><NA>
910전화권유판매업08_26_03_P3410000200834100712420006720040508<NA>4취소/말소/만료/정지/중지7직권말소20060612<NA><NA><NA>053 255 2729<NA>700351대구광역시 중구 북성로*가 **번지 *호대구광역시 중구 중앙대로 *** (북성로*가)<NA>현대통상20100419103626I2018-08-31 23:59:59.0<NA>343960.811871264947.507125<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
753754전화권유판매업08_26_03_P3480000201934803652420000120190717<NA>3폐업3폐업처리20200626<NA><NA><NA>053-526-6989<NA><NA>대구광역시 달성군 화원읍 구라리 ***번지대구광역시 달성군 화원읍 구라*길 **-*42942(주) 현대에너지시스템20200629184717U2020-07-01 02:40:00.0<NA>334205.415773258300.1581940010000000<NA>
754755전화권유판매업08_26_03_P3480000200834802892420000220080623<NA>3폐업3폐업처리20111011<NA><NA><NA>637-4450<NA>711834대구광역시 달성군 화원읍 천내리 ***번지대구광역시 달성군 화원읍 사문진로*길 **<NA>(주)부건이앤씨20111011095100I2018-08-31 23:59:59.0<NA>334927.976118257031.8070621135701966407227545728474421<NA>
755756전화권유판매업08_26_03_P3480000201034802912420000120101221<NA>3폐업3폐업처리20110523<NA><NA><NA>525-5542<NA>711843대구광역시 달성군 옥포면 기세리 ***번지 *호 **통 *반대구광역시 달성군 옥포면 비슬로 ****<NA>참좋은 결혼정보20110523161757I2018-08-31 23:59:59.0<NA>332950.866365255467.253837<NA><NA><NA><NA>
756757전화권유판매업08_26_03_P3480000201234803122420000120120125<NA>4취소/말소/만료/정지/중지7직권말소20120617<NA><NA><NA>053-639-6978<NA><NA><NA>대구광역시 달성군 화원읍 설화본길 **711837주식회사 웰라이프20130807181637I2018-08-31 23:59:59.0<NA>334217.966418255754.31940250000000050000000<NA>
757758전화권유판매업08_26_03_P3480000201434803262420000220140610<NA>3폐업3폐업처리20151022<NA><NA><NA>053-614-0660<NA><NA><NA>대구광역시 달성군 논공읍 논공로*길 **711854(주)디오시스템20151022150005I2018-08-31 23:59:59.0<NA>330379.598982248808.412353276962000050000000<NA>
758759전화권유판매업08_26_03_P3480000201434803262420000320141013<NA>3폐업3폐업처리20151021<NA><NA><NA>053-521-1227<NA><NA><NA>대구광역시 달성군 화원읍 명천로**길 **711836대아정보통신 주식회사20151021150335I2018-08-31 23:59:59.0<NA>336285.753457256521.2587381185622347328868435160000000<NA>
759760전화권유판매업08_26_03_P3480000200734802892420000120070831<NA>3폐업3폐업처리20121026<NA><NA><NA>053-585-7988<NA>711813대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로 **<NA>(주)제일통신20130729113149I2018-08-31 23:59:59.0<NA>335044.989433264277.1153771200000000390000000810000000<NA>
760761전화권유판매업08_26_03_P3480000201834803652420000120161011<NA>3폐업3폐업처리20221202<NA><NA><NA>053-644-0200<NA><NA>대구광역시 달성군 현풍읍 중리 471번지 3호대구광역시 달성군 현풍읍 테크노중앙대로5길 243014㈜케이앤티포커스20221205112029U2022-12-07 02:40:00.0<NA>331708.939166245188.6099781600000005000000050000000<NA>
761762전화권유판매업08_26_03_P3480000200834802892420000120080327200902274취소/말소/만료/정지/중지4직권취소20090227<NA><NA><NA>053-615-9073<NA>711852대구광역시 달성군 논공읍 남리 ***번지 **호대구광역시 달성군 논공읍 논공로*길 **-*<NA>LS산전20090304094518I2018-08-31 23:59:59.0<NA>329997.180892248650.0266<NA><NA><NA><NA>
762763전화권유판매업08_26_03_P3480000201134802912420000120110106<NA>3폐업3폐업처리20151130<NA><NA><NA>070-7997-5588<NA>711763대구광역시 달성군 화원읍 명곡리 미래빌*단지 ***동 ****호대구광역시 달성군 화원읍 명곡로 **, ***동 ****층711763(주)넥스피아20151130160036I2018-08-31 23:59:59.0<NA>335324.764881256485.112829612352926172260000000<NA>