Overview

Dataset statistics

Number of variables32
Number of observations748
Missing cells5124
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory203.2 KiB
Average record size in memory278.2 B

Variable types

Numeric15
Categorical9
Text4
Unsupported3
DateTime1

Dataset

Description22년04월_6270000_대구광역시_08_26_03_P_전화권유판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092914&dataSetDetailId=DDI_0000092943&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 (98.1%)Imbalance
인허가취소일자 has 694 (92.8%) missing valuesMissing
폐업일자 has 150 (20.1%) missing valuesMissing
소재지전화 has 121 (16.2%) missing valuesMissing
소재지면적 has 748 (100.0%) missing valuesMissing
소재지우편번호 has 332 (44.4%) missing valuesMissing
소재지전체주소 has 172 (23.0%) missing valuesMissing
도로명전체주소 has 19 (2.5%) missing valuesMissing
도로명우편번호 has 360 (48.1%) missing valuesMissing
업태구분명 has 748 (100.0%) missing valuesMissing
좌표정보(X) has 12 (1.6%) missing valuesMissing
좌표정보(Y) has 12 (1.6%) missing valuesMissing
자산규모 has 336 (44.9%) missing valuesMissing
부채총액 has 336 (44.9%) missing valuesMissing
자본금 has 336 (44.9%) missing valuesMissing
판매방식명 has 748 (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 61 (8.2%) zerosZeros
부채총액 has 203 (27.1%) zerosZeros
자본금 has 45 (6.0%) zerosZeros

Reproduction

Analysis started2024-04-21 02:34:21.632172
Analysis finished2024-04-21 02:34:22.896908
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct748
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.5
Minimum1
Maximum748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:23.080951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.35
Q1187.75
median374.5
Q3561.25
95-th percentile710.65
Maximum748
Range747
Interquartile range (IQR)373.5

Descriptive statistics

Standard deviation216.07329
Coefficient of variation (CV)0.57696473
Kurtosis-1.2
Mean374.5
Median Absolute Deviation (MAD)187
Skewness0
Sum280126
Variance46687.667
MonotonicityStrictly increasing
2024-04-21T11:34:23.404884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
504 1
 
0.1%
495 1
 
0.1%
496 1
 
0.1%
497 1
 
0.1%
498 1
 
0.1%
499 1
 
0.1%
500 1
 
0.1%
501 1
 
0.1%
502 1
 
0.1%
Other values (738) 738
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 (%)
748 1
0.1%
747 1
0.1%
746 1
0.1%
745 1
0.1%
744 1
0.1%
743 1
0.1%
742 1
0.1%
741 1
0.1%
740 1
0.1%
739 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
전화권유판매업
748 

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 748
100.0%

Length

2024-04-21T11:34:23.697207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:23.874486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 748
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
08_26_03_P
748 

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 748
100.0%

Length

2024-04-21T11:34:24.058557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:24.226084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 748
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3438703.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:24.375663image/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 deviation22756.558
Coefficient of variation (CV)0.0066177732
Kurtosis-1.4643208
Mean3438703.2
Median Absolute Deviation (MAD)20000
Skewness0.079911077
Sum2.57215 × 109
Variance5.1786093 × 108
MonotonicityIncreasing
2024-04-21T11:34:24.568681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 177
23.7%
3420000 115
15.4%
3460000 115
15.4%
3470000 115
15.4%
3440000 88
11.8%
3450000 81
10.8%
3430000 44
 
5.9%
3480000 13
 
1.7%
ValueCountFrequency (%)
3410000 177
23.7%
3420000 115
15.4%
3430000 44
 
5.9%
3440000 88
11.8%
3450000 81
10.8%
3460000 115
15.4%
3470000 115
15.4%
3480000 13
 
1.7%
ValueCountFrequency (%)
3480000 13
 
1.7%
3470000 115
15.4%
3460000 115
15.4%
3450000 81
10.8%
3440000 88
11.8%
3430000 44
 
5.9%
3420000 115
15.4%
3410000 177
23.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct748
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0121714 × 1018
Minimum2.003342 × 1018
Maximum2.022347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:24.803830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003342 × 1018
5-th percentile2.005346 × 1018
Q12.008341 × 1018
median2.0113425 × 1018
Q32.0155955 × 1018
95-th percentile2.0203467 × 1018
Maximum2.022347 × 1018
Range1.9005009 × 1016
Interquartile range (IQR)7.2545047 × 1015

Descriptive statistics

Standard deviation4.7579324 × 1015
Coefficient of variation (CV)0.0023645761
Kurtosis-1.009561
Mean2.0121714 × 1018
Median Absolute Deviation (MAD)3.9954972 × 1015
Skewness0.36276904
Sum-7.5287908 × 1018
Variance2.263792 × 1031
MonotonicityNot monotonic
2024-04-21T11:34:25.072369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341007124200048 1
 
0.1%
2007345009924200021 1
 
0.1%
2009345009924200002 1
 
0.1%
2009345009924200003 1
 
0.1%
2007345009924200006 1
 
0.1%
2007345009924200008 1
 
0.1%
2007345009924200011 1
 
0.1%
2007345009924200012 1
 
0.1%
2007345009924200014 1
 
0.1%
2007345009924200015 1
 
0.1%
Other values (738) 738
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 (%)
2022347018124200002 1
0.1%
2022347018124200001 1
0.1%
2022345016024200001 1
0.1%
2021348036524200002 1
0.1%
2021348036524200001 1
0.1%
2021347018124200008 1
0.1%
2021347018124200007 1
0.1%
2021347018124200006 1
0.1%
2021347018124200005 1
0.1%
2021347018124200004 1
0.1%

인허가일자
Real number (ℝ)

Distinct633
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112554
Minimum20000825
Maximum20220324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:25.348713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000825
5-th percentile20040618
Q120070718
median20101014
Q320151008
95-th percentile20200719
Maximum20220324
Range219499
Interquartile range (IQR)80290.75

Descriptive statistics

Standard deviation51610.305
Coefficient of variation (CV)0.0025660742
Kurtosis-1.0316995
Mean20112554
Median Absolute Deviation (MAD)40104.5
Skewness0.28340219
Sum1.504419 × 1010
Variance2.6636236 × 109
MonotonicityNot monotonic
2024-04-21T11:34:25.594548image/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%
20050413 4
 
0.5%
20111228 4
 
0.5%
20151007 3
 
0.4%
20050331 3
 
0.4%
20080825 3
 
0.4%
20051011 3
 
0.4%
Other values (623) 704
94.1%
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 (%)
20220324 1
0.1%
20220228 1
0.1%
20220107 1
0.1%
20211229 1
0.1%
20211221 1
0.1%
20211116 1
0.1%
20211022 1
0.1%
20210720 1
0.1%
20210719 2
0.3%
20210716 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)40.7%
Missing694
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean20099430
Minimum20061101
Maximum20220310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:25.805427image/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
2024-04-21T11:34:26.216996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20090122 8
 
1.1%
20120823 8
 
1.1%
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) 694
92.8%
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
1.1%
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
1.1%
20110118 1
 
0.1%
20090828 5
0.7%
20090813 4
0.5%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3
367 
4
248 
1
131 
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 (%)
3 367
49.1%
4 248
33.2%
1 131
 
17.5%
2 2
 
0.3%

Length

2024-04-21T11:34:26.445120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:26.631782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 367
49.1%
4 248
33.2%
1 131
 
17.5%
2 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐업
367 
취소/말소/만료/정지/중지
248 
영업/정상
131 
휴업
 
2

Length

Max length14
Median length5
Mean length6.5040107
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 367
49.1%
취소/말소/만료/정지/중지 248
33.2%
영업/정상 131
 
17.5%
휴업 2
 
0.3%

Length

2024-04-21T11:34:26.830568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:27.023337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 367
49.1%
취소/말소/만료/정지/중지 248
33.2%
영업/정상 131
 
17.5%
휴업 2
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7553476
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:27.193723image/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 deviation2.0801312
Coefficient of variation (CV)0.55391177
Kurtosis-0.92635215
Mean3.7553476
Median Absolute Deviation (MAD)1
Skewness0.54914332
Sum2809
Variance4.3269459
MonotonicityNot monotonic
2024-04-21T11:34:27.373976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 367
49.1%
7 192
25.7%
1 130
 
17.4%
4 56
 
7.5%
2 2
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
1 130
 
17.4%
2 2
 
0.3%
3 367
49.1%
4 56
 
7.5%
6 1
 
0.1%
7 192
25.7%
ValueCountFrequency (%)
7 192
25.7%
6 1
 
0.1%
4 56
 
7.5%
3 367
49.1%
2 2
 
0.3%
1 130
 
17.4%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐업처리
367 
직권말소
192 
정상영업
130 
직권취소
56 
휴업처리
 
2

Length

Max length6
Median length4
Mean length4.0026738
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 367
49.1%
직권말소 192
25.7%
정상영업 130
 
17.4%
직권취소 56
 
7.5%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

Length

2024-04-21T11:34:27.609292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:27.844766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 367
49.1%
직권말소 192
25.7%
정상영업 130
 
17.4%
직권취소 56
 
7.5%
휴업처리 2
 
0.3%
타시군구전입 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct410
Distinct (%)68.6%
Missing150
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean20132133
Minimum20030731
Maximum20220310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:28.092516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030731
5-th percentile20070480
Q120100410
median20130817
Q320161104
95-th percentile20200301
Maximum20220310
Range189579
Interquartile range (IQR)60693.5

Descriptive statistics

Standard deviation40488.07
Coefficient of variation (CV)0.0020111168
Kurtosis-0.75891253
Mean20132133
Median Absolute Deviation (MAD)30401
Skewness-0.018480571
Sum1.2039015 × 1010
Variance1.6392838 × 109
MonotonicityNot monotonic
2024-04-21T11:34:28.365909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100416 26
 
3.5%
20141219 15
 
2.0%
20151230 12
 
1.6%
20120823 8
 
1.1%
20091130 8
 
1.1%
20090122 8
 
1.1%
20080930 6
 
0.8%
20090828 6
 
0.8%
20130701 5
 
0.7%
20111202 5
 
0.7%
Other values (400) 499
66.7%
(Missing) 150
 
20.1%
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 (%)
20220310 1
0.1%
20220120 2
0.3%
20220104 1
0.1%
20211231 1
0.1%
20211209 1
0.1%
20211120 1
0.1%
20211115 1
0.1%
20211113 1
0.1%
20211028 1
0.1%
20210927 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
744 
20200921
 
1
20060515
 
1
20180914
 
1
20151028
 
1

Length

Max length8
Median length4
Mean length4.0213904
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> 744
99.5%
20200921 1
 
0.1%
20060515 1
 
0.1%
20180914 1
 
0.1%
20151028 1
 
0.1%

Length

2024-04-21T11:34:28.638009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:28.848787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 744
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 size6.0 KiB
<NA>
744 
20210921
 
1
20061015
 
1
20181214
 
1
20160930
 
1

Length

Max length8
Median length4
Mean length4.0213904
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> 744
99.5%
20210921 1
 
0.1%
20061015 1
 
0.1%
20181214 1
 
0.1%
20160930 1
 
0.1%

Length

2024-04-21T11:34:29.068298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:29.278625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 744
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 size6.0 KiB
<NA>
746 
20151023
 
1
20160823
 
1

Length

Max length8
Median length4
Mean length4.0106952
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> 746
99.7%
20151023 1
 
0.1%
20160823 1
 
0.1%

Length

2024-04-21T11:34:29.498551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:29.699527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 746
99.7%
20151023 1
 
0.1%
20160823 1
 
0.1%

소재지전화
Text

MISSING 

Distinct595
Distinct (%)94.9%
Missing121
Missing (%)16.2%
Memory size6.0 KiB
2024-04-21T11:34:30.308258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.499203
Min length1

Characters and Unicode

Total characters7210
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

Unique566 ?
Unique (%)90.3%

Sample

1st row053 242 8585
2nd row255 7119
3rd row053 426 1507
4th row053 253 0172
5th row053 257 9012
ValueCountFrequency (%)
053 110
 
12.7%
424 9
 
1.0%
253 6
 
0.7%
256 6
 
0.7%
242 5
 
0.6%
254 5
 
0.6%
2000 5
 
0.6%
255 4
 
0.5%
217 4
 
0.5%
429 4
 
0.5%
Other values (627) 705
81.7%
2024-04-21T11:34:31.195047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1221
16.9%
5 978
13.6%
- 887
12.3%
3 848
11.8%
2 576
8.0%
1 479
 
6.6%
7 439
 
6.1%
6 425
 
5.9%
4 406
 
5.6%
8 376
 
5.2%
Other values (7) 575
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6075
84.3%
Dash Punctuation 887
 
12.3%
Space Separator 237
 
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 1221
20.1%
5 978
16.1%
3 848
14.0%
2 576
9.5%
1 479
 
7.9%
7 439
 
7.2%
6 425
 
7.0%
4 406
 
6.7%
8 376
 
6.2%
9 327
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
/ 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 887
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 7210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1221
16.9%
5 978
13.6%
- 887
12.3%
3 848
11.8%
2 576
8.0%
1 479
 
6.6%
7 439
 
6.1%
6 425
 
5.9%
4 406
 
5.6%
8 376
 
5.2%
Other values (7) 575
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1221
16.9%
5 978
13.6%
- 887
12.3%
3 848
11.8%
2 576
8.0%
1 479
 
6.6%
7 439
 
6.1%
6 425
 
5.9%
4 406
 
5.6%
8 376
 
5.2%
Other values (7) 575
8.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)39.2%
Missing332
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean702707.77
Minimum700010
Maximum711852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:31.460793image/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
2024-04-21T11:34:31.714112image/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
 
2.3%
700351 15
 
2.0%
704060 14
 
1.9%
704340 13
 
1.7%
700412 11
 
1.5%
701010 10
 
1.3%
700400 8
 
1.1%
700430 7
 
0.9%
Other values (153) 278
37.2%
(Missing) 332
44.4%
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 

Distinct421
Distinct (%)73.1%
Missing172
Missing (%)23.0%
Memory size6.0 KiB
2024-04-21T11:34:32.473292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length25.463542
Min length16

Characters and Unicode

Total characters14667
Distinct characters252
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)59.2%

Sample

1st row대구광역시 중구 삼덕동*가 ***번지 *호
2nd row대구광역시 중구 대봉동 *번지 **호
3rd row대구광역시 중구 북성로*가 **번지 *호
4th row대구광역시 중구 동인동*가 ***번지 **호
5th row대구광역시 중구 동인동*가 **번지 원진빌딩 *층
ValueCountFrequency (%)
대구광역시 576
17.7%
번지 527
16.2%
호 527
16.2%
층 161
 
4.9%
중구 147
 
4.5%
동구 92
 
2.8%
달서구 82
 
2.5%
남구 81
 
2.5%
수성구 71
 
2.2%
대명동 66
 
2.0%
Other values (309) 926
28.4%
2024-04-21T11:34:33.490102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3034
20.7%
2696
18.4%
구 1161
 
7.9%
동 695
 
4.7%
대 689
 
4.7%
시 584
 
4.0%
광 580
 
4.0%
역 579
 
3.9%
지 555
 
3.8%
호 549
 
3.7%
Other values (242) 3545
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8846
60.3%
Other Punctuation 3041
 
20.7%
Space Separator 2696
 
18.4%
Dash Punctuation 43
 
0.3%
Uppercase Letter 25
 
0.2%
Lowercase Letter 13
 
0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1161
13.1%
동 695
 
7.9%
대 689
 
7.8%
시 584
 
6.6%
광 580
 
6.6%
역 579
 
6.5%
지 555
 
6.3%
호 549
 
6.2%
번 527
 
6.0%
층 195
 
2.2%
Other values (221) 2732
30.9%
Uppercase Letter
ValueCountFrequency (%)
K 9
36.0%
T 6
24.0%
S 5
20.0%
O 1
 
4.0%
G 1
 
4.0%
F 1
 
4.0%
I 1
 
4.0%
B 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 3034
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 (%)
2696
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8846
60.3%
Common 5783
39.4%
Latin 38
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1161
13.1%
동 695
 
7.9%
대 689
 
7.8%
시 584
 
6.6%
광 580
 
6.6%
역 579
 
6.5%
지 555
 
6.3%
호 549
 
6.2%
번 527
 
6.0%
층 195
 
2.2%
Other values (221) 2732
30.9%
Latin
ValueCountFrequency (%)
K 9
23.7%
T 6
15.8%
k 6
15.8%
S 5
13.2%
t 4
10.5%
s 2
 
5.3%
O 1
 
2.6%
G 1
 
2.6%
F 1
 
2.6%
I 1
 
2.6%
Other values (2) 2
 
5.3%
Common
ValueCountFrequency (%)
* 3034
52.5%
2696
46.6%
- 43
 
0.7%
, 4
 
0.1%
/ 2
 
< 0.1%
( 1
 
< 0.1%
~ 1
 
< 0.1%
) 1
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8846
60.3%
ASCII 5821
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3034
52.1%
2696
46.3%
- 43
 
0.7%
K 9
 
0.2%
T 6
 
0.1%
k 6
 
0.1%
S 5
 
0.1%
, 4
 
0.1%
t 4
 
0.1%
/ 2
 
< 0.1%
Other values (11) 12
 
0.2%
Hangul
ValueCountFrequency (%)
구 1161
13.1%
동 695
 
7.9%
대 689
 
7.8%
시 584
 
6.6%
광 580
 
6.6%
역 579
 
6.5%
지 555
 
6.3%
호 549
 
6.2%
번 527
 
6.0%
층 195
 
2.2%
Other values (221) 2732
30.9%

도로명전체주소
Text

MISSING 

Distinct614
Distinct (%)84.2%
Missing19
Missing (%)2.5%
Memory size6.0 KiB
2024-04-21T11:34:34.648354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length29.569273
Min length13

Characters and Unicode

Total characters21556
Distinct characters313
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique543 ?
Unique (%)74.5%

Sample

1st row대구광역시 중구 달구벌대로 **** (삼덕동*가)
2nd row대구광역시 중구 동덕로**길 ** (대봉동)
3rd row대구광역시 중구 중앙대로 *** (북성로*가)
4th row대구광역시 중구 태평로 *** (동인동*가)
5th row대구광역시 중구 국채보상로 *** (동인동*가,원진빌딩 *층)
ValueCountFrequency (%)
733
17.3%
대구광역시 729
17.2%
층 250
 
5.9%
중구 172
 
4.1%
호 132
 
3.1%
달서구 113
 
2.7%
수성구 112
 
2.6%
동구 110
 
2.6%
남구 84
 
2.0%
북구 78
 
1.8%
Other values (625) 1732
40.8%
2024-04-21T11:34:36.063076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3528
16.4%
* 3395
15.7%
구 1597
 
7.4%
대 1069
 
5.0%
동 1005
 
4.7%
시 744
 
3.5%
로 742
 
3.4%
역 734
 
3.4%
광 733
 
3.4%
) 720
 
3.3%
Other values (303) 7289
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12481
57.9%
Other Punctuation 3965
 
18.4%
Space Separator 3528
 
16.4%
Close Punctuation 720
 
3.3%
Open Punctuation 719
 
3.3%
Dash Punctuation 83
 
0.4%
Uppercase Letter 43
 
0.2%
Lowercase Letter 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1597
 
12.8%
대 1069
 
8.6%
동 1005
 
8.1%
시 744
 
6.0%
로 742
 
5.9%
역 734
 
5.9%
광 733
 
5.9%
층 349
 
2.8%
성 256
 
2.1%
중 238
 
1.9%
Other values (280) 5014
40.2%
Uppercase Letter
ValueCountFrequency (%)
K 15
34.9%
T 12
27.9%
S 5
 
11.6%
B 3
 
7.0%
A 3
 
7.0%
G 1
 
2.3%
O 1
 
2.3%
H 1
 
2.3%
L 1
 
2.3%
I 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
* 3395
85.6%
, 567
 
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 (%)
3528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 720
100.0%
Open Punctuation
ValueCountFrequency (%)
( 719
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12481
57.9%
Common 9017
41.8%
Latin 58
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1597
 
12.8%
대 1069
 
8.6%
동 1005
 
8.1%
시 744
 
6.0%
로 742
 
5.9%
역 734
 
5.9%
광 733
 
5.9%
층 349
 
2.8%
성 256
 
2.1%
중 238
 
1.9%
Other values (280) 5014
40.2%
Latin
ValueCountFrequency (%)
K 15
25.9%
T 12
20.7%
k 7
12.1%
t 5
 
8.6%
S 5
 
8.6%
B 3
 
5.2%
A 3
 
5.2%
s 2
 
3.4%
G 1
 
1.7%
O 1
 
1.7%
Other values (4) 4
 
6.9%
Common
ValueCountFrequency (%)
3528
39.1%
* 3395
37.7%
) 720
 
8.0%
( 719
 
8.0%
, 567
 
6.3%
- 83
 
0.9%
/ 2
 
< 0.1%
~ 2
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12481
57.9%
ASCII 9075
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3528
38.9%
* 3395
37.4%
) 720
 
7.9%
( 719
 
7.9%
, 567
 
6.2%
- 83
 
0.9%
K 15
 
0.2%
T 12
 
0.1%
k 7
 
0.1%
t 5
 
0.1%
Other values (13) 24
 
0.3%
Hangul
ValueCountFrequency (%)
구 1597
 
12.8%
대 1069
 
8.6%
동 1005
 
8.1%
시 744
 
6.0%
로 742
 
5.9%
역 734
 
5.9%
광 733
 
5.9%
층 349
 
2.8%
성 256
 
2.1%
중 238
 
1.9%
Other values (280) 5014
40.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct302
Distinct (%)77.8%
Missing360
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean328535.96
Minimum41026
Maximum711854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:36.298727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41239.75
Q141955.5
median42665.5
Q3702748.25
95-th percentile706820.65
Maximum711854
Range670828
Interquartile range (IQR)660792.75

Descriptive statistics

Standard deviation328296.57
Coefficient of variation (CV)0.99927135
Kurtosis-1.9361104
Mean328535.96
Median Absolute Deviation (MAD)1405.5
Skewness0.27161372
Sum1.2747195 × 108
Variance1.0777864 × 1011
MonotonicityNot monotonic
2024-04-21T11:34:36.538899image/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%
701240 4
 
0.5%
42486 4
 
0.5%
705810 4
 
0.5%
42020 3
 
0.4%
42420 3
 
0.4%
42465 3
 
0.4%
705830 3
 
0.4%
Other values (292) 346
46.3%
(Missing) 360
48.1%
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 1
0.1%
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

Distinct726
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-21T11:34:37.288392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length7.8890374
Min length1

Characters and Unicode

Total characters5901
Distinct characters420
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

Unique706 ?
Unique (%)94.4%

Sample

1st row(주)유니넷
2nd row전진유통
3rd row세진통상
4th row한성통상
5th row우석컨설팅
ValueCountFrequency (%)
주식회사 113
 
11.7%
주 26
 
2.7%
농업회사법인 5
 
0.5%
it 4
 
0.4%
마루네트웍스 3
 
0.3%
미래정보통신 3
 
0.3%
주)파워트윈스 3
 
0.3%
정보통신 3
 
0.3%
홈쇼핑 3
 
0.3%
고구려통신 3
 
0.3%
Other values (768) 803
82.9%
2024-04-21T11:34:38.298747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 390
 
6.6%
) 280
 
4.7%
( 280
 
4.7%
221
 
3.7%
이 177
 
3.0%
사 169
 
2.9%
스 162
 
2.7%
회 140
 
2.4%
통 138
 
2.3%
신 133
 
2.3%
Other values (410) 3811
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4860
82.4%
Close Punctuation 280
 
4.7%
Open Punctuation 280
 
4.7%
Space Separator 221
 
3.7%
Uppercase Letter 157
 
2.7%
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 390
 
8.0%
이 177
 
3.6%
사 169
 
3.5%
스 162
 
3.3%
회 140
 
2.9%
통 138
 
2.8%
신 133
 
2.7%
식 127
 
2.6%
보 105
 
2.2%
정 103
 
2.1%
Other values (357) 3216
66.2%
Uppercase Letter
ValueCountFrequency (%)
T 21
13.4%
S 18
11.5%
I 17
 
10.8%
G 9
 
5.7%
C 9
 
5.7%
K 9
 
5.7%
N 8
 
5.1%
D 8
 
5.1%
F 7
 
4.5%
B 7
 
4.5%
Other values (13) 44
28.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
13.8%
n 8
13.8%
t 5
8.6%
i 5
8.6%
c 4
 
6.9%
r 4
 
6.9%
a 4
 
6.9%
o 4
 
6.9%
p 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 (%)
) 280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 280
100.0%
Space Separator
ValueCountFrequency (%)
221
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4861
82.4%
Common 823
 
13.9%
Latin 215
 
3.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 390
 
8.0%
이 177
 
3.6%
사 169
 
3.5%
스 162
 
3.3%
회 140
 
2.9%
통 138
 
2.8%
신 133
 
2.7%
식 127
 
2.6%
보 105
 
2.2%
정 103
 
2.1%
Other values (356) 3217
66.2%
Latin
ValueCountFrequency (%)
T 21
 
9.8%
S 18
 
8.4%
I 17
 
7.9%
G 9
 
4.2%
C 9
 
4.2%
K 9
 
4.2%
e 8
 
3.7%
n 8
 
3.7%
N 8
 
3.7%
D 8
 
3.7%
Other values (30) 100
46.5%
Common
ValueCountFrequency (%)
) 280
34.0%
( 280
34.0%
221
26.9%
. 10
 
1.2%
1 8
 
1.0%
& 8
 
1.0%
4 4
 
0.5%
, 3
 
0.4%
- 3
 
0.4%
0 3
 
0.4%
Other values (2) 3
 
0.4%
Han
ValueCountFrequency (%)
參 1
50.0%
煐 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4858
82.3%
ASCII 1038
 
17.6%
None 3
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 390
 
8.0%
이 177
 
3.6%
사 169
 
3.5%
스 162
 
3.3%
회 140
 
2.9%
통 138
 
2.8%
신 133
 
2.7%
식 127
 
2.6%
보 105
 
2.2%
정 103
 
2.1%
Other values (355) 3214
66.2%
ASCII
ValueCountFrequency (%)
) 280
27.0%
( 280
27.0%
221
21.3%
T 21
 
2.0%
S 18
 
1.7%
I 17
 
1.6%
. 10
 
1.0%
G 9
 
0.9%
C 9
 
0.9%
K 9
 
0.9%
Other values (42) 164
15.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
參 1
100.0%
CJK
ValueCountFrequency (%)
煐 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct748
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0143757 × 1013
Minimum2.007073 × 1013
Maximum2.0220422 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:38.534611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007073 × 1013
5-th percentile2.0080731 × 1013
Q12.010121 × 1013
median2.0150469 × 1013
Q32.018034 × 1013
95-th percentile2.0210607 × 1013
Maximum2.0220422 × 1013
Range1.4969199 × 1011
Interquartile range (IQR)7.913025 × 1010

Descriptive statistics

Standard deviation4.1558996 × 1010
Coefficient of variation (CV)0.0020631203
Kurtosis-1.1066018
Mean2.0143757 × 1013
Median Absolute Deviation (MAD)3.0646052 × 1010
Skewness0.0060531448
Sum1.5067531 × 1016
Variance1.7271501 × 1021
MonotonicityNot monotonic
2024-04-21T11:34:39.006368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100419104658 1
 
0.1%
20100609104100 1
 
0.1%
20100630175828 1
 
0.1%
20171215155533 1
 
0.1%
20100115175831 1
 
0.1%
20070808101814 1
 
0.1%
20070730135412 1
 
0.1%
20130329155126 1
 
0.1%
20090403171905 1
 
0.1%
20120618142836 1
 
0.1%
Other values (738) 738
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 (%)
20220422105138 1
0.1%
20220324111203 1
0.1%
20220311111335 1
0.1%
20220303150512 1
0.1%
20220228144008 1
0.1%
20220124095812 1
0.1%
20220124095616 1
0.1%
20220107100342 1
0.1%
20220104134355 1
0.1%
20220103103739 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
I
629 
U
119 

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 629
84.1%
U 119
 
15.9%

Length

2024-04-21T11:34:39.344703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:34:39.662855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 629
84.1%
u 119
 
15.9%

데이터갱신일자
Date

Distinct155
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-24 02:40:00
2024-04-21T11:34:39.997505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:34:40.366565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct560
Distinct (%)76.1%
Missing12
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean343908.22
Minimum329997.18
Maximum356771.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:40.622609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329997.18
5-th percentile337844.95
Q1341564.05
median343960.81
Q3346246.21
95-th percentile350312.01
Maximum356771.2
Range26774.023
Interquartile range (IQR)4682.163

Descriptive statistics

Standard deviation3961.6522
Coefficient of variation (CV)0.011519504
Kurtosis1.4452455
Mean343908.22
Median Absolute Deviation (MAD)2367.0696
Skewness0.2767376
Sum2.5311645 × 108
Variance15694689
MonotonicityNot monotonic
2024-04-21T11:34:40.877939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343960.811871 15
 
2.0%
344686.259338 11
 
1.5%
347112.22171 6
 
0.8%
339679.576629 6
 
0.8%
346594.63507 5
 
0.7%
346708.407019 5
 
0.7%
343724.113964 5
 
0.7%
342048.107916 4
 
0.5%
344858.344663 4
 
0.5%
342225.11428 4
 
0.5%
Other values (550) 671
89.7%
(Missing) 12
 
1.6%
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%
355698.810726 1
0.1%
355681.445461 1
0.1%
355634.474549 1
0.1%
355584.792491 1
0.1%
355436.83319 1
0.1%
354951.0 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct560
Distinct (%)76.1%
Missing12
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263538.96
Minimum244962
Maximum274818.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:41.114236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244962
5-th percentile259141.5
Q1261829.08
median263803.71
Q3264824.39
95-th percentile268611.41
Maximum274818.56
Range29856.563
Interquartile range (IQR)2995.3128

Descriptive statistics

Standard deviation3016.742
Coefficient of variation (CV)0.011447044
Kurtosis5.921536
Mean263538.96
Median Absolute Deviation (MAD)1290.0834
Skewness-0.40709826
Sum1.9396467 × 108
Variance9100732.3
MonotonicityNot monotonic
2024-04-21T11:34:41.358336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264947.507125 15
 
2.0%
263958.880864 11
 
1.5%
259244.441757 6
 
0.8%
259462.411822 6
 
0.8%
264578.070096 5
 
0.7%
264492.860639 5
 
0.7%
263960.603586 5
 
0.7%
266437.78481 4
 
0.5%
264643.953097 4
 
0.5%
261071.548949 4
 
0.5%
Other values (550) 671
89.7%
(Missing) 12
 
1.6%
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%
256550.372202 1
0.1%
257031.807062 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%
271360.287714 1
0.1%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct220
Distinct (%)53.4%
Missing336
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean3.4758317 × 109
Minimum0
Maximum5.2194126 × 1011
Zeros61
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T11:34:41.615721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130760000
median1 × 108
Q34.2345664 × 108
95-th percentile5.453759 × 109
Maximum5.2194126 × 1011
Range5.2194126 × 1011
Interquartile range (IQR)3.9269664 × 108

Descriptive statistics

Standard deviation3.1639321 × 1010
Coefficient of variation (CV)9.102662
Kurtosis213.62342
Mean3.4758317 × 109
Median Absolute Deviation (MAD)1 × 108
Skewness14.23729
Sum1.4320427 × 1012
Variance1.0010466 × 1021
MonotonicityNot monotonic
2024-04-21T11:34:41.869887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
 
8.2%
50000000 58
 
7.8%
100000000 21
 
2.8%
10000000 12
 
1.6%
30000000 10
 
1.3%
300000000 7
 
0.9%
150000000 7
 
0.9%
20000000 6
 
0.8%
160000000 4
 
0.5%
1000000 4
 
0.5%
Other values (210) 222
29.7%
(Missing) 336
44.9%
ValueCountFrequency (%)
0 61
8.2%
1000000 4
 
0.5%
5000000 2
 
0.3%
6000000 1
 
0.1%
9000000 1
 
0.1%
10000000 12
 
1.6%
10100000 1
 
0.1%
12000000 1
 
0.1%
20000000 6
 
0.8%
24576745 1
 
0.1%
ValueCountFrequency (%)
521941256656 1
0.1%
356900000000 1
0.1%
94520746000 1
0.1%
51319652155 1
0.1%
29286339762 1
0.1%
27688855600 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 

Distinct198
Distinct (%)48.1%
Missing336
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean1.7682577 × 109
Minimum-10000000
Maximum3.3094068 × 1011
Zeros203
Zeros (%)27.1%
Negative1
Negative (%)0.1%
Memory size6.7 KiB
2024-04-21T11:34:42.113649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000000
5-th percentile0
Q10
median314547
Q31.6646007 × 108
95-th percentile2.3518723 × 109
Maximum3.3094068 × 1011
Range3.3095068 × 1011
Interquartile range (IQR)1.6646007 × 108

Descriptive statistics

Standard deviation1.8870393 × 1010
Coefficient of variation (CV)10.671744
Kurtosis249.62304
Mean1.7682577 × 109
Median Absolute Deviation (MAD)625000
Skewness15.38796
Sum7.2852216 × 1011
Variance3.5609174 × 1020
MonotonicityNot monotonic
2024-04-21T11:34:42.369319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 203
27.1%
5000000 5
 
0.7%
50000000 4
 
0.5%
30000000 3
 
0.4%
100000000 2
 
0.3%
20000000 2
 
0.3%
983980261 2
 
0.3%
32789650 1
 
0.1%
126967305 1
 
0.1%
34041000 1
 
0.1%
Other values (188) 188
25.1%
(Missing) 336
44.9%
ValueCountFrequency (%)
-10000000 1
 
0.1%
0 203
27.1%
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%
24895604700 1
0.1%
22198168433 1
0.1%
7147197865 1
0.1%
5705056715 1
0.1%
5583342755 1
0.1%
5000000000 1
0.1%
4958691694 1
0.1%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)29.4%
Missing336
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean1.1364375 × 109
Minimum-1.4810772 × 108
Maximum1.9100058 × 1011
Zeros45
Zeros (%)6.0%
Negative3
Negative (%)0.4%
Memory size6.7 KiB
2024-04-21T11:34:42.625201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.4810772 × 108
5-th percentile0
Q130000000
median50000000
Q31.6 × 108
95-th percentile2.5242752 × 109
Maximum1.9100058 × 1011
Range1.9114868 × 1011
Interquartile range (IQR)1.3 × 108

Descriptive statistics

Standard deviation1.0222217 × 1010
Coefficient of variation (CV)8.9949661
Kurtosis295.97239
Mean1.1364375 × 109
Median Absolute Deviation (MAD)49000000
Skewness16.484335
Sum4.6821227 × 1011
Variance1.0449372 × 1020
MonotonicityNot monotonic
2024-04-21T11:34:42.918855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 121
 
16.2%
0 45
 
6.0%
100000000 23
 
3.1%
10000000 22
 
2.9%
30000000 19
 
2.5%
300000000 15
 
2.0%
160000000 11
 
1.5%
150000000 11
 
1.5%
20000000 10
 
1.3%
200000000 6
 
0.8%
Other values (111) 129
 
17.2%
(Missing) 336
44.9%
ValueCountFrequency (%)
-148107720 1
 
0.1%
-104768498 1
 
0.1%
-49431530 1
 
0.1%
0 45
6.0%
1000000 5
 
0.7%
2000000 1
 
0.1%
2884689 1
 
0.1%
5000000 4
 
0.5%
9000000 1
 
0.1%
10000000 22
2.9%
ValueCountFrequency (%)
191000576787 1
0.1%
69625135000 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 

Missing748
Missing (%)100.0%
Memory size6.7 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
01전화권유판매업08_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>
12전화권유판매업08_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>
23전화권유판매업08_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>
34전화권유판매업08_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>
45전화권유판매업08_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>
56전화권유판매업08_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>
67전화권유판매업08_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>
78전화권유판매업08_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>
89전화권유판매업08_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>
910전화권유판매업08_26_03_P3410000200834100712420006920031114<NA>4취소/말소/만료/정지/중지7직권말소20100416<NA><NA><NA>053 255 8950<NA>700422대구광역시 중구 동인동*가 ***번지 *호 *층대구광역시 중구 국채보상로 ***-* (동인동*가,*층)<NA>주식회사 에프티에스20100419103515I2018-08-31 23:59:59.0<NA>344979.072734264369.44029251451100145110050000000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
738739전화권유판매업08_26_03_P3480000201834803652420000120161011<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-644-0200<NA><NA>대구광역시 달성군 현풍읍 중리 ***번지 *호대구광역시 달성군 현풍읍 테크노중앙대로*길 *43014㈜케이앤티포커스20190416170744U2019-04-18 02:40:00.0<NA>331836.0245197.01600000005000000050000000<NA>
739740전화권유판매업08_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>334205.734928258299.9509720010000000<NA>
740741전화권유판매업08_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>334927.976117257031.8070621135701966407227545728474421<NA>
741742전화권유판매업08_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>
742743전화권유판매업08_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>
743744전화권유판매업08_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>
744745전화권유판매업08_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>336285.601882256524.4467381185622347328868435160000000<NA>
745746전화권유판매업08_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>
746747전화권유판매업08_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>
747748전화권유판매업08_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>