Overview

Dataset statistics

Number of variables33
Number of observations1274
Missing cells12462
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory357.2 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2021-08-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123127

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
재개업일자 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 1218 (95.6%) missing valuesMissing
폐업일자 has 259 (20.3%) missing valuesMissing
휴업시작일자 has 1258 (98.7%) missing valuesMissing
휴업종료일자 has 1258 (98.7%) missing valuesMissing
소재지전화 has 179 (14.1%) missing valuesMissing
소재지면적 has 1274 (100.0%) missing valuesMissing
소재지우편번호 has 452 (35.5%) missing valuesMissing
소재지전체주소 has 231 (18.1%) missing valuesMissing
도로명전체주소 has 67 (5.3%) missing valuesMissing
도로명우편번호 has 642 (50.4%) missing valuesMissing
업태구분명 has 1274 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.8%) missing valuesMissing
좌표정보(y) has 48 (3.8%) missing valuesMissing
자산규모 has 567 (44.5%) missing valuesMissing
부채총액 has 570 (44.7%) missing valuesMissing
자본금 has 569 (44.7%) missing valuesMissing
판매방식명 has 1274 (100.0%) missing valuesMissing
Unnamed: 32 has 1274 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 26.3700024)Skewed
부채총액 is highly skewed (γ1 = 26.3344115)Skewed
자본금 is highly skewed (γ1 = 25.77537254)Skewed
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
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 70 (5.5%) zerosZeros
부채총액 has 411 (32.3%) zerosZeros
자본금 has 29 (2.3%) zerosZeros

Reproduction

Analysis started2024-04-17 06:09:08.115438
Analysis finished2024-04-17 06:09:08.907644
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637.5
Minimum1
Maximum1274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:08.966622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.65
Q1319.25
median637.5
Q3955.75
95-th percentile1210.35
Maximum1274
Range1273
Interquartile range (IQR)636.5

Descriptive statistics

Standard deviation367.91643
Coefficient of variation (CV)0.57712381
Kurtosis-1.2
Mean637.5
Median Absolute Deviation (MAD)318.5
Skewness0
Sum812175
Variance135362.5
MonotonicityStrictly increasing
2024-04-17T15:09:09.082552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
848 1
 
0.1%
855 1
 
0.1%
854 1
 
0.1%
853 1
 
0.1%
852 1
 
0.1%
851 1
 
0.1%
850 1
 
0.1%
849 1
 
0.1%
847 1
 
0.1%
Other values (1264) 1264
99.2%
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 (%)
1274 1
0.1%
1273 1
0.1%
1272 1
0.1%
1271 1
0.1%
1270 1
0.1%
1269 1
0.1%
1268 1
0.1%
1267 1
0.1%
1266 1
0.1%
1265 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
전화권유판매업
1274 

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 1274
100.0%

Length

2024-04-17T15:09:09.189683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:09.263444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1274
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
08_26_03_P
1274 

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 1274
100.0%

Length

2024-04-17T15:09:09.344203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:09.425620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1274
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322880.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:09.506934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3310000
Q33370000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation39554.946
Coefficient of variation (CV)0.011903812
Kurtosis-1.2299833
Mean3322880.7
Median Absolute Deviation (MAD)20000
Skewness0.26379545
Sum4.23335 × 109
Variance1.5645938 × 109
MonotonicityNot monotonic
2024-04-17T15:09:09.623044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 369
29.0%
3370000 198
15.5%
3330000 113
 
8.9%
3300000 106
 
8.3%
3350000 88
 
6.9%
3270000 87
 
6.8%
3380000 73
 
5.7%
3390000 46
 
3.6%
3310000 44
 
3.5%
3320000 40
 
3.1%
Other values (6) 110
 
8.6%
ValueCountFrequency (%)
3250000 26
 
2.0%
3260000 7
 
0.5%
3270000 87
 
6.8%
3280000 7
 
0.5%
3290000 369
29.0%
3300000 106
 
8.3%
3310000 44
 
3.5%
3320000 40
 
3.1%
3330000 113
 
8.9%
3340000 37
 
2.9%
ValueCountFrequency (%)
3400000 21
 
1.6%
3390000 46
 
3.6%
3380000 73
 
5.7%
3370000 198
15.5%
3360000 12
 
0.9%
3350000 88
6.9%
3340000 37
 
2.9%
3330000 113
8.9%
3320000 40
 
3.1%
3310000 44
 
3.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011892 × 1018
Minimum2.002329 × 1018
Maximum2.02134 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:09.750557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.006325 × 1018
Q12.00833 × 1018
median2.011329 × 1018
Q32.015329 × 1018
95-th percentile2.02033 × 1018
Maximum2.02134 × 1018
Range1.9011002 × 1016
Interquartile range (IQR)6.9990043 × 1015

Descriptive statistics

Standard deviation4.3422743 × 1015
Coefficient of variation (CV)0.0021583039
Kurtosis-0.71291886
Mean2.011892 × 1018
Median Absolute Deviation (MAD)3.0020008 × 1015
Skewness0.46239522
Sum-9.4708043 × 1017
Variance1.8855346 × 1031
MonotonicityNot monotonic
2024-04-17T15:09:09.886318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2014327008624200001 1
 
0.1%
2007327007124200002 1
 
0.1%
2021327013924200002 1
 
0.1%
2019327013924200001 1
 
0.1%
2016327008624200007 1
 
0.1%
2016327008624200004 1
 
0.1%
2014327008624200005 1
 
0.1%
2014327008624200004 1
 
0.1%
2013327008624200006 1
 
0.1%
Other values (1264) 1264
99.2%
ValueCountFrequency (%)
2002329008524200001 1
0.1%
2002329008524200006 1
0.1%
2002333008224200001 1
0.1%
2003329008524200011 1
0.1%
2003333008224200001 1
0.1%
2004325005924200015 1
0.1%
2004325005924200016 1
0.1%
2004329008524200005 1
0.1%
2004329008524200007 1
0.1%
2004329008524200008 1
0.1%
ValueCountFrequency (%)
2021340010924200003 1
0.1%
2021340010924200002 1
0.1%
2021340010924200001 1
0.1%
2021339010924200003 1
0.1%
2021339010924200002 1
0.1%
2021339010924200001 1
0.1%
2021337010624200003 1
0.1%
2021337010624200002 1
0.1%
2021337010624200001 1
0.1%
2021335011224200005 1
0.1%

인허가일자
Real number (ℝ)

Distinct1003
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112202
Minimum20020820
Maximum20210625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:10.022189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050914
Q120080405
median20101166
Q320141013
95-th percentile20200109
Maximum20210625
Range189805
Interquartile range (IQR)60608.25

Descriptive statistics

Standard deviation44054.497
Coefficient of variation (CV)0.0021904363
Kurtosis-0.6352306
Mean20112202
Median Absolute Deviation (MAD)30337.5
Skewness0.44953754
Sum2.5622946 × 1010
Variance1.9407987 × 109
MonotonicityNot monotonic
2024-04-17T15:09:10.150574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080826 8
 
0.6%
20080527 8
 
0.6%
20080526 6
 
0.5%
20120106 5
 
0.4%
20161013 5
 
0.4%
20150304 5
 
0.4%
20080320 4
 
0.3%
20090427 4
 
0.3%
20070528 4
 
0.3%
20070521 4
 
0.3%
Other values (993) 1221
95.8%
ValueCountFrequency (%)
20020820 1
0.1%
20020822 1
0.1%
20020823 1
0.1%
20020829 1
0.1%
20020904 1
0.1%
20030219 1
0.1%
20030328 1
0.1%
20030408 1
0.1%
20030429 1
0.1%
20030602 1
0.1%
ValueCountFrequency (%)
20210625 1
0.1%
20210616 1
0.1%
20210607 1
0.1%
20210604 2
0.2%
20210603 1
0.1%
20210506 1
0.1%
20210427 1
0.1%
20210423 1
0.1%
20210422 1
0.1%
20210420 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1218
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:10.282956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070706
5-th percentile20071218
Q120080908
median20100370
Q320101206
95-th percentile20123534
Maximum20131218
Range60512
Interquartile range (IQR)20298.5

Descriptive statistics

Standard deviation16147.133
Coefficient of variation (CV)0.00080361792
Kurtosis-0.14119674
Mean20093048
Median Absolute Deviation (MAD)10138
Skewness0.45152819
Sum1.1252107 × 109
Variance2.6072992 × 108
MonotonicityNot monotonic
2024-04-17T15:09:10.387831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20100514 8
 
0.6%
20101231 6
 
0.5%
20071218 4
 
0.3%
20081226 4
 
0.3%
20090805 3
 
0.2%
20100422 3
 
0.2%
20080908 3
 
0.2%
20071226 3
 
0.2%
20071220 2
 
0.2%
20091112 2
 
0.2%
Other values (15) 18
 
1.4%
(Missing) 1218
95.6%
ValueCountFrequency (%)
20070706 1
 
0.1%
20071218 4
0.3%
20071220 2
0.2%
20071226 3
0.2%
20080522 2
0.2%
20080908 3
0.2%
20080917 2
0.2%
20081211 1
 
0.1%
20081226 4
0.3%
20090805 3
0.2%
ValueCountFrequency (%)
20131218 1
 
0.1%
20130617 1
 
0.1%
20130522 1
 
0.1%
20121205 2
 
0.2%
20110610 1
 
0.1%
20110405 1
 
0.1%
20101231 6
0.5%
20101208 1
 
0.1%
20101206 1
 
0.1%
20100927 1
 
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
3
621 
4
448 
1
193 
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 621
48.7%
4 448
35.2%
1 193
 
15.1%
2 12
 
0.9%

Length

2024-04-17T15:09:10.500083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:10.592728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 621
48.7%
4 448
35.2%
1 193
 
15.1%
2 12
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
폐업
621 
취소/말소/만료/정지/중지
448 
영업/정상
193 
휴업
 
12

Length

Max length14
Median length5
Mean length6.6742543
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 621
48.7%
취소/말소/만료/정지/중지 448
35.2%
영업/정상 193
 
15.1%
휴업 12
 
0.9%

Length

2024-04-17T15:09:10.692441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:10.783544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 621
48.7%
취소/말소/만료/정지/중지 448
35.2%
영업/정상 193
 
15.1%
휴업 12
 
0.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
3
621 
7
389 
1
193 
4
 
59
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 621
48.7%
7 389
30.5%
1 193
 
15.1%
4 59
 
4.6%
2 12
 
0.9%

Length

2024-04-17T15:09:10.886872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:11.000104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 621
48.7%
7 389
30.5%
1 193
 
15.1%
4 59
 
4.6%
2 12
 
0.9%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
폐업처리
621 
직권말소
389 
정상영업
193 
직권취소
 
59
휴업처리
 
12

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 621
48.7%
직권말소 389
30.5%
정상영업 193
 
15.1%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

Length

2024-04-17T15:09:11.094705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:11.182384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 621
48.7%
직권말소 389
30.5%
정상영업 193
 
15.1%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct622
Distinct (%)61.3%
Missing259
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean20130490
Minimum20070604
Maximum20210615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:11.286574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080520
Q120100514
median20130627
Q320160224
95-th percentile20190814
Maximum20210615
Range140011
Interquartile range (IQR)59710.5

Descriptive statistics

Standard deviation34321.952
Coefficient of variation (CV)0.0017049735
Kurtosis-0.88664673
Mean20130490
Median Absolute Deviation (MAD)29811
Skewness0.18581512
Sum2.0432447 × 1010
Variance1.1779964 × 109
MonotonicityNot monotonic
2024-04-17T15:09:11.399617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090817 16
 
1.3%
20170221 14
 
1.1%
20110915 13
 
1.0%
20120814 12
 
0.9%
20140901 12
 
0.9%
20130204 11
 
0.9%
20090604 10
 
0.8%
20100514 9
 
0.7%
20101231 9
 
0.7%
20150327 9
 
0.7%
Other values (612) 900
70.6%
(Missing) 259
 
20.3%
ValueCountFrequency (%)
20070604 1
0.1%
20070706 1
0.1%
20070709 1
0.1%
20070716 1
0.1%
20070806 1
0.1%
20070807 2
0.2%
20070824 1
0.1%
20071107 1
0.1%
20071109 1
0.1%
20071130 1
0.1%
ValueCountFrequency (%)
20210615 1
0.1%
20210612 1
0.1%
20210528 1
0.1%
20210524 1
0.1%
20210503 1
0.1%
20201228 1
0.1%
20201221 1
0.1%
20201214 1
0.1%
20201126 1
0.1%
20201119 2
0.2%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing1258
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20167015
Minimum20090226
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:11.504188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090226
5-th percentile20098398
Q120153370
median20180469
Q320190536
95-th percentile20200931
Maximum20201231
Range111005
Interquartile range (IQR)37167

Descriptive statistics

Standard deviation35167.287
Coefficient of variation (CV)0.0017438023
Kurtosis0.32504946
Mean20167015
Median Absolute Deviation (MAD)15187.5
Skewness-1.1756556
Sum3.2267224 × 108
Variance1.236738 × 109
MonotonicityNot monotonic
2024-04-17T15:09:11.594918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20181031 1
 
0.1%
20171219 1
 
0.1%
20090226 1
 
0.1%
20130826 1
 
0.1%
20101122 1
 
0.1%
20200103 1
 
0.1%
20191210 1
 
0.1%
20180427 1
 
0.1%
20190312 1
 
0.1%
20160819 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1258
98.7%
ValueCountFrequency (%)
20090226 1
0.1%
20101122 1
0.1%
20130826 1
0.1%
20131021 1
0.1%
20160819 1
0.1%
20171122 1
0.1%
20171219 1
0.1%
20180427 1
0.1%
20180511 1
0.1%
20181031 1
0.1%
ValueCountFrequency (%)
20201231 1
0.1%
20200831 1
0.1%
20200103 1
0.1%
20191210 1
0.1%
20190312 1
0.1%
20190227 1
0.1%
20181031 1
0.1%
20180511 1
0.1%
20180427 1
0.1%
20171219 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing1258
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20180806
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:11.680460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090630
5-th percentile20105548
Q120156177
median20190720
Q320210630
95-th percentile20233128
Maximum20241231
Range150601
Interquartile range (IQR)54453

Descriptive statistics

Standard deviation42726.298
Coefficient of variation (CV)0.002117175
Kurtosis-0.040181615
Mean20180806
Median Absolute Deviation (MAD)24699.5
Skewness-0.67821846
Sum3.228929 × 108
Variance1.8255365 × 109
MonotonicityNot monotonic
2024-04-17T15:09:11.767973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20191231 2
 
0.2%
20210630 2
 
0.2%
20230427 1
 
0.1%
20181121 1
 
0.1%
20190511 1
 
0.1%
20161231 1
 
0.1%
20141015 1
 
0.1%
20190930 1
 
0.1%
20241231 1
 
0.1%
20230201 1
 
0.1%
Other values (4) 4
 
0.3%
(Missing) 1258
98.7%
ValueCountFrequency (%)
20090630 1
0.1%
20110521 1
0.1%
20140826 1
0.1%
20141015 1
0.1%
20161231 1
0.1%
20180531 1
0.1%
20181121 1
0.1%
20190511 1
0.1%
20190930 1
0.1%
20191231 2
0.2%
ValueCountFrequency (%)
20241231 1
0.1%
20230427 1
0.1%
20230201 1
0.1%
20210630 2
0.2%
20191231 2
0.2%
20190930 1
0.1%
20190511 1
0.1%
20181121 1
0.1%
20180531 1
0.1%
20161231 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
1270 
20060126
 
1
20100217
 
1
20200312
 
1
20090724
 
1

Length

Max length8
Median length4
Mean length4.0125589
Min length4

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1270
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:09:11.890517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:11.984558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1270
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1020
Distinct (%)93.2%
Missing179
Missing (%)14.1%
Memory size10.1 KiB
2024-04-17T15:09:12.172513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.902283
Min length1

Characters and Unicode

Total characters11938
Distinct characters16
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

Unique953 ?
Unique (%)87.0%

Sample

1st row051-466-0046
2nd row051 710 0088
3rd row051 465 2480
4th row051-463-3556
5th row051 441 2905
ValueCountFrequency (%)
051 97
 
7.5%
711 6
 
0.5%
853 5
 
0.4%
051-747-5044 4
 
0.3%
851 4
 
0.3%
517 4
 
0.3%
465 4
 
0.3%
861 4
 
0.3%
906 4
 
0.3%
868 4
 
0.3%
Other values (1064) 1154
89.5%
2024-04-17T15:09:12.499236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2162
18.1%
1 1594
13.4%
- 1583
13.3%
5 1515
12.7%
8 847
 
7.1%
7 817
 
6.8%
6 770
 
6.4%
9 638
 
5.3%
3 617
 
5.2%
4 614
 
5.1%
Other values (6) 781
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10142
85.0%
Dash Punctuation 1583
 
13.3%
Space Separator 195
 
1.6%
Close Punctuation 12
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2162
21.3%
1 1594
15.7%
5 1515
14.9%
8 847
 
8.4%
7 817
 
8.1%
6 770
 
7.6%
9 638
 
6.3%
3 617
 
6.1%
4 614
 
6.1%
2 568
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1583
100.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11938
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2162
18.1%
1 1594
13.4%
- 1583
13.3%
5 1515
12.7%
8 847
 
7.1%
7 817
 
6.8%
6 770
 
6.4%
9 638
 
5.3%
3 617
 
5.2%
4 614
 
5.1%
Other values (6) 781
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2162
18.1%
1 1594
13.4%
- 1583
13.3%
5 1515
12.7%
8 847
 
7.1%
7 817
 
6.8%
6 770
 
6.4%
9 638
 
5.3%
3 617
 
5.2%
4 614
 
5.1%
Other values (6) 781
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1274
Missing (%)100.0%
Memory size11.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing452
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:12.625512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile601060
Q1608040
median612010
Q3614050
95-th percentile616110
Maximum619952
Range19940
Interquartile range (IQR)6010

Descriptive statistics

Standard deviation4470.5657
Coefficient of variation (CV)0.0073168096
Kurtosis0.010176905
Mean610999.33
Median Absolute Deviation (MAD)2670
Skewness-0.8756593
Sum5.0224145 × 108
Variance19985958
MonotonicityNot monotonic
2024-04-17T15:09:12.755500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614050 45
 
3.5%
614030 42
 
3.3%
614040 26
 
2.0%
612020 26
 
2.0%
607060 26
 
2.0%
611080 24
 
1.9%
614020 21
 
1.6%
611839 18
 
1.4%
613100 14
 
1.1%
613120 13
 
1.0%
Other values (241) 567
44.5%
(Missing) 452
35.5%
ValueCountFrequency (%)
600012 1
 
0.1%
600074 1
 
0.1%
600110 1
 
0.1%
600714 1
 
0.1%
600717 1
 
0.1%
600721 1
 
0.1%
600723 2
 
0.2%
600802 1
 
0.1%
600815 1
 
0.1%
600816 8
0.6%
ValueCountFrequency (%)
619952 1
 
0.1%
619951 1
 
0.1%
619905 1
 
0.1%
619903 2
0.2%
619902 1
 
0.1%
618806 2
0.2%
617844 3
0.2%
617841 1
 
0.1%
617838 1
 
0.1%
617837 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct788
Distinct (%)75.6%
Missing231
Missing (%)18.1%
Memory size10.1 KiB
2024-04-17T15:09:13.015566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.641419
Min length12

Characters and Unicode

Total characters29873
Distinct characters333
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

Unique662 ?
Unique (%)63.5%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **-*
3rd row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
4th row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층
ValueCountFrequency (%)
호 1058
16.9%
부산광역시 1042
16.6%
번지 969
15.5%
층 335
 
5.3%
부산진구 291
 
4.6%
연제구 182
 
2.9%
연산동 125
 
2.0%
94
 
1.5%
동래구 91
 
1.5%
부전동 88
 
1.4%
Other values (595) 1996
31.8%
2024-04-17T15:09:13.414468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6085
20.4%
5252
17.6%
산 1533
 
5.1%
부 1485
 
5.0%
동 1269
 
4.2%
호 1082
 
3.6%
광 1077
 
3.6%
시 1059
 
3.5%
구 1053
 
3.5%
역 1046
 
3.5%
Other values (323) 8932
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18331
61.4%
Other Punctuation 6113
 
20.5%
Space Separator 5252
 
17.6%
Uppercase Letter 91
 
0.3%
Dash Punctuation 70
 
0.2%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1533
 
8.4%
부 1485
 
8.1%
동 1269
 
6.9%
호 1082
 
5.9%
광 1077
 
5.9%
시 1059
 
5.8%
구 1053
 
5.7%
역 1046
 
5.7%
지 1022
 
5.6%
번 970
 
5.3%
Other values (298) 6735
36.7%
Uppercase Letter
ValueCountFrequency (%)
T 24
26.4%
K 23
25.3%
B 12
13.2%
S 10
11.0%
O 6
 
6.6%
D 3
 
3.3%
A 2
 
2.2%
C 2
 
2.2%
H 2
 
2.2%
I 2
 
2.2%
Other values (5) 5
 
5.5%
Other Punctuation
ValueCountFrequency (%)
* 6085
99.5%
, 20
 
0.3%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18331
61.4%
Common 11448
38.3%
Latin 94
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1533
 
8.4%
부 1485
 
8.1%
동 1269
 
6.9%
호 1082
 
5.9%
광 1077
 
5.9%
시 1059
 
5.8%
구 1053
 
5.7%
역 1046
 
5.7%
지 1022
 
5.6%
번 970
 
5.3%
Other values (298) 6735
36.7%
Latin
ValueCountFrequency (%)
T 24
25.5%
K 23
24.5%
B 12
12.8%
S 10
10.6%
O 6
 
6.4%
D 3
 
3.2%
e 3
 
3.2%
A 2
 
2.1%
C 2
 
2.1%
H 2
 
2.1%
Other values (6) 7
 
7.4%
Common
ValueCountFrequency (%)
* 6085
53.2%
5252
45.9%
- 70
 
0.6%
, 20
 
0.2%
/ 7
 
0.1%
) 5
 
< 0.1%
( 5
 
< 0.1%
~ 3
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18331
61.4%
ASCII 11542
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6085
52.7%
5252
45.5%
- 70
 
0.6%
T 24
 
0.2%
K 23
 
0.2%
, 20
 
0.2%
B 12
 
0.1%
S 10
 
0.1%
/ 7
 
0.1%
O 6
 
0.1%
Other values (15) 33
 
0.3%
Hangul
ValueCountFrequency (%)
산 1533
 
8.4%
부 1485
 
8.1%
동 1269
 
6.9%
호 1082
 
5.9%
광 1077
 
5.9%
시 1059
 
5.8%
구 1053
 
5.7%
역 1046
 
5.7%
지 1022
 
5.6%
번 970
 
5.3%
Other values (298) 6735
36.7%

도로명전체주소
Text

MISSING 

Distinct1025
Distinct (%)84.9%
Missing67
Missing (%)5.3%
Memory size10.1 KiB
2024-04-17T15:09:13.631148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length33.178128
Min length21

Characters and Unicode

Total characters40046
Distinct characters365
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

Unique894 ?
Unique (%)74.1%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 충장대로*번길 **-*, ***호 (중앙동*가)
3rd row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
4th row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
5th row부산광역시 중구 중앙대로 *** (중앙동*가)
ValueCountFrequency (%)
1238
16.8%
부산광역시 1207
16.4%
층 469
 
6.4%
호 363
 
4.9%
부산진구 357
 
4.8%
중앙대로 245
 
3.3%
연제구 197
 
2.7%
해운대구 106
 
1.4%
연산동 103
 
1.4%
금정구 86
 
1.2%
Other values (1010) 2994
40.7%
2024-04-17T15:09:13.983846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6243
 
15.6%
6165
 
15.4%
산 1796
 
4.5%
부 1779
 
4.4%
동 1584
 
4.0%
, 1313
 
3.3%
시 1262
 
3.2%
광 1261
 
3.1%
구 1216
 
3.0%
역 1210
 
3.0%
Other values (355) 16217
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23661
59.1%
Other Punctuation 7563
 
18.9%
Space Separator 6165
 
15.4%
Close Punctuation 1197
 
3.0%
Open Punctuation 1197
 
3.0%
Uppercase Letter 127
 
0.3%
Dash Punctuation 123
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1796
 
7.6%
부 1779
 
7.5%
동 1584
 
6.7%
시 1262
 
5.3%
광 1261
 
5.3%
구 1216
 
5.1%
역 1210
 
5.1%
로 1209
 
5.1%
대 700
 
3.0%
층 599
 
2.5%
Other values (328) 11045
46.7%
Uppercase Letter
ValueCountFrequency (%)
T 36
28.3%
K 36
28.3%
B 12
 
9.4%
S 8
 
6.3%
O 6
 
4.7%
A 4
 
3.1%
C 4
 
3.1%
V 3
 
2.4%
I 3
 
2.4%
E 3
 
2.4%
Other values (6) 12
 
9.4%
Other Punctuation
ValueCountFrequency (%)
* 6243
82.5%
, 1313
 
17.4%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
t 2
 
22.2%
k 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23661
59.1%
Common 16249
40.6%
Latin 136
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1796
 
7.6%
부 1779
 
7.5%
동 1584
 
6.7%
시 1262
 
5.3%
광 1261
 
5.3%
구 1216
 
5.1%
역 1210
 
5.1%
로 1209
 
5.1%
대 700
 
3.0%
층 599
 
2.5%
Other values (328) 11045
46.7%
Latin
ValueCountFrequency (%)
T 36
26.5%
K 36
26.5%
B 12
 
8.8%
S 8
 
5.9%
O 6
 
4.4%
e 5
 
3.7%
A 4
 
2.9%
C 4
 
2.9%
V 3
 
2.2%
I 3
 
2.2%
Other values (9) 19
14.0%
Common
ValueCountFrequency (%)
* 6243
38.4%
6165
37.9%
, 1313
 
8.1%
) 1197
 
7.4%
( 1197
 
7.4%
- 123
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23661
59.1%
ASCII 16385
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6243
38.1%
6165
37.6%
, 1313
 
8.0%
) 1197
 
7.3%
( 1197
 
7.3%
- 123
 
0.8%
T 36
 
0.2%
K 36
 
0.2%
B 12
 
0.1%
S 8
 
< 0.1%
Other values (17) 55
 
0.3%
Hangul
ValueCountFrequency (%)
산 1796
 
7.6%
부 1779
 
7.5%
동 1584
 
6.7%
시 1262
 
5.3%
광 1261
 
5.3%
구 1216
 
5.1%
역 1210
 
5.1%
로 1209
 
5.1%
대 700
 
3.0%
층 599
 
2.5%
Other values (328) 11045
46.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct369
Distinct (%)58.4%
Missing642
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean324399.71
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:14.351040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46276.65
Q147541
median49364
Q3612725
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)565184

Descriptive statistics

Standard deviation282401.58
Coefficient of variation (CV)0.87053583
Kurtosis-2.0044345
Mean324399.71
Median Absolute Deviation (MAD)3327
Skewness0.038383123
Sum2.0502062 × 108
Variance7.975065 × 1010
MonotonicityNot monotonic
2024-04-17T15:09:14.454946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614853 18
 
1.4%
48059 18
 
1.4%
611839 17
 
1.3%
47596 10
 
0.8%
47257 7
 
0.5%
614843 6
 
0.5%
614870 6
 
0.5%
46569 6
 
0.5%
611820 6
 
0.5%
611831 6
 
0.5%
Other values (359) 532
41.8%
(Missing) 642
50.4%
ValueCountFrequency (%)
46008 1
0.1%
46009 1
0.1%
46019 1
0.1%
46021 1
0.1%
46033 1
0.1%
46037 2
0.2%
46040 1
0.1%
46060 1
0.1%
46067 1
0.1%
46070 1
0.1%
ValueCountFrequency (%)
619906 1
0.1%
619903 2
0.2%
619902 1
0.1%
617844 1
0.1%
617840 2
0.2%
617838 1
0.1%
617833 1
0.1%
617822 1
0.1%
617809 2
0.2%
617808 1
0.1%

사업장명
Text

Distinct1216
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-04-17T15:09:14.647480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.755887
Min length1

Characters and Unicode

Total characters9881
Distinct characters494
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1163 ?
Unique (%)91.3%

Sample

1st row코어(CORE)
2nd row주식회사 보우정보
3rd row(주)두성크리에이터
4th row(주)야마야푸즈서비스
5th row(주)텔라이브
ValueCountFrequency (%)
주식회사 180
 
11.2%
주 11
 
0.7%
부산지점 5
 
0.3%
대부중개 5
 
0.3%
주)티브로드 5
 
0.3%
농업회사법인 4
 
0.2%
모바일 4
 
0.2%
유한회사 4
 
0.2%
원영정보통신 3
 
0.2%
명성 3
 
0.2%
Other values (1296) 1385
86.1%
2024-04-17T15:09:14.969672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 678
 
6.9%
( 517
 
5.2%
) 517
 
5.2%
338
 
3.4%
이 308
 
3.1%
사 255
 
2.6%
스 246
 
2.5%
회 228
 
2.3%
식 204
 
2.1%
신 160
 
1.6%
Other values (484) 6430
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8079
81.8%
Open Punctuation 517
 
5.2%
Close Punctuation 517
 
5.2%
Space Separator 338
 
3.4%
Uppercase Letter 251
 
2.5%
Lowercase Letter 95
 
1.0%
Other Punctuation 50
 
0.5%
Decimal Number 21
 
0.2%
Other Symbol 12
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 678
 
8.4%
이 308
 
3.8%
사 255
 
3.2%
스 246
 
3.0%
회 228
 
2.8%
식 204
 
2.5%
신 160
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
에 126
 
1.6%
Other values (422) 5580
69.1%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.8%
M 20
 
8.0%
C 17
 
6.8%
T 16
 
6.4%
K 15
 
6.0%
A 14
 
5.6%
I 13
 
5.2%
B 13
 
5.2%
L 13
 
5.2%
D 12
 
4.8%
Other values (16) 96
38.2%
Lowercase Letter
ValueCountFrequency (%)
o 14
14.7%
i 12
12.6%
n 11
11.6%
s 8
8.4%
e 8
8.4%
t 6
 
6.3%
u 5
 
5.3%
c 5
 
5.3%
d 5
 
5.3%
l 4
 
4.2%
Other values (11) 17
17.9%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
0 4
19.0%
2 3
 
14.3%
5 2
 
9.5%
7 2
 
9.5%
4 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 517
100.0%
Close Punctuation
ValueCountFrequency (%)
) 517
100.0%
Space Separator
ValueCountFrequency (%)
338
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8091
81.9%
Common 1444
 
14.6%
Latin 346
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 678
 
8.4%
이 308
 
3.8%
사 255
 
3.2%
스 246
 
3.0%
회 228
 
2.8%
식 204
 
2.5%
신 160
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
에 126
 
1.6%
Other values (423) 5592
69.1%
Latin
ValueCountFrequency (%)
S 22
 
6.4%
M 20
 
5.8%
C 17
 
4.9%
T 16
 
4.6%
K 15
 
4.3%
A 14
 
4.0%
o 14
 
4.0%
I 13
 
3.8%
B 13
 
3.8%
L 13
 
3.8%
Other values (37) 189
54.6%
Common
ValueCountFrequency (%)
( 517
35.8%
) 517
35.8%
338
23.4%
. 24
 
1.7%
& 20
 
1.4%
1 8
 
0.6%
0 4
 
0.3%
/ 4
 
0.3%
2 3
 
0.2%
, 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8079
81.8%
ASCII 1790
 
18.1%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 678
 
8.4%
이 308
 
3.8%
사 255
 
3.2%
스 246
 
3.0%
회 228
 
2.8%
식 204
 
2.5%
신 160
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
에 126
 
1.6%
Other values (422) 5580
69.1%
ASCII
ValueCountFrequency (%)
( 517
28.9%
) 517
28.9%
338
18.9%
. 24
 
1.3%
S 22
 
1.2%
& 20
 
1.1%
M 20
 
1.1%
C 17
 
0.9%
T 16
 
0.9%
K 15
 
0.8%
Other values (51) 284
15.9%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0140826 × 1013
Minimum2.0070731 × 1013
Maximum2.021063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:15.105171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080824 × 1013
Q12.0110148 × 1013
median2.0140811 × 1013
Q32.0170502 × 1013
95-th percentile2.0200953 × 1013
Maximum2.021063 × 1013
Range1.3989897 × 1011
Interquartile range (IQR)6.0354314 × 1010

Descriptive statistics

Standard deviation3.8332738 × 1010
Coefficient of variation (CV)0.0019032356
Kurtosis-1.043064
Mean2.0140826 × 1013
Median Absolute Deviation (MAD)3.0100045 × 1010
Skewness0.054799582
Sum2.5659413 × 1016
Variance1.4693988 × 1021
MonotonicityNot monotonic
2024-04-17T15:09:15.226602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20150123114935 1
 
0.1%
20090604151746 1
 
0.1%
20210528134413 1
 
0.1%
20191014094810 1
 
0.1%
20200302155946 1
 
0.1%
20171214153835 1
 
0.1%
20180531154510 1
 
0.1%
20150701145533 1
 
0.1%
20141021132159 1
 
0.1%
Other values (1264) 1264
99.2%
ValueCountFrequency (%)
20070731144005 1
0.1%
20070731172201 1
0.1%
20070807171411 1
0.1%
20070824113238 1
0.1%
20070824160010 1
0.1%
20070828133537 1
0.1%
20071108130608 1
0.1%
20071109173715 1
0.1%
20071127143254 1
0.1%
20071207093824 1
0.1%
ValueCountFrequency (%)
20210630111552 1
0.1%
20210625092907 1
0.1%
20210616160708 1
0.1%
20210615142017 1
0.1%
20210615101219 1
0.1%
20210611173941 1
0.1%
20210608100848 1
0.1%
20210604133211 1
0.1%
20210604132832 1
0.1%
20210603113713 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
I
1128 
U
146 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1128
88.5%
U 146
 
11.5%

Length

2024-04-17T15:09:15.332985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:15.413252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1128
88.5%
u 146
 
11.5%

데이터갱신일자
Date

Distinct200
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-07-02 02:40:00
2024-04-17T15:09:15.519811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:09:15.636389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1274
Missing (%)100.0%
Memory size11.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct797
Distinct (%)65.0%
Missing48
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean388726.97
Minimum373571.48
Maximum407240.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:15.758572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile381038.89
Q1387471.53
median388641.7
Q3390055.52
95-th percentile395421.99
Maximum407240.89
Range33669.414
Interquartile range (IQR)2583.9841

Descriptive statistics

Standard deviation4011.5705
Coefficient of variation (CV)0.010319764
Kurtosis2.9173239
Mean388726.97
Median Absolute Deviation (MAD)1272.7686
Skewness0.36709224
Sum4.7657927 × 108
Variance16092698
MonotonicityNot monotonic
2024-04-17T15:09:15.875447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388485.246432899 23
 
1.8%
389473.281486449 19
 
1.5%
387225.613588405 15
 
1.2%
387993.482649182 12
 
0.9%
387630.58080969 11
 
0.9%
392859.978697383 8
 
0.6%
393790.344709358 8
 
0.6%
388798.742326259 8
 
0.6%
389763.458430383 7
 
0.5%
387625.86797096 7
 
0.5%
Other values (787) 1108
87.0%
(Missing) 48
 
3.8%
ValueCountFrequency (%)
373571.480941768 1
0.1%
373988.512838888 1
0.1%
376599.300709847 1
0.1%
377141.990630466 1
0.1%
377197.758646406 2
0.2%
377465.924295 1
0.1%
377614.488355375 1
0.1%
378105.275764927 1
0.1%
378760.018335895 1
0.1%
378797.34380015 1
0.1%
ValueCountFrequency (%)
407240.89489229 2
0.2%
407224.15471702 1
0.1%
407089.378718505 1
0.1%
405522.61178727 1
0.1%
403804.630703364 1
0.1%
402225.504544679 1
0.1%
401853.757726 1
0.1%
401682.975998888 1
0.1%
401447.637635904 1
0.1%
401438.30823867 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct796
Distinct (%)64.9%
Missing48
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean187879.49
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:15.991508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180750.47
Q1185582.27
median187658.4
Q3189714.37
95-th percentile195835.95
Maximum206343.36
Range31416.7
Interquartile range (IQR)4132.0938

Descriptive statistics

Standard deviation4338.4869
Coefficient of variation (CV)0.023091861
Kurtosis1.9824148
Mean187879.49
Median Absolute Deviation (MAD)2061.0827
Skewness0.62749164
Sum2.3034025 × 108
Variance18822469
MonotonicityNot monotonic
2024-04-17T15:09:16.122028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187658.396387017 23
 
1.8%
189228.061082038 19
 
1.5%
186408.726533861 15
 
1.2%
186876.485393314 12
 
0.9%
186409.994828231 11
 
0.9%
188328.743910701 8
 
0.6%
188235.889521484 8
 
0.6%
187523.604270761 8
 
0.6%
186168.671007785 7
 
0.5%
186406.750870936 7
 
0.5%
Other values (786) 1108
87.0%
(Missing) 48
 
3.8%
ValueCountFrequency (%)
174926.658916532 1
 
0.1%
174949.822461937 1
 
0.1%
175213.001131118 1
 
0.1%
175359.769070119 1
 
0.1%
176580.102067648 1
 
0.1%
176893.324496578 1
 
0.1%
177436.655876843 1
 
0.1%
177507.608774077 1
 
0.1%
177623.034608355 3
0.2%
177937.719813596 1
 
0.1%
ValueCountFrequency (%)
206343.359052 1
0.1%
206281.265893726 1
0.1%
206018.426741087 1
0.1%
205478.96147021 2
0.2%
205403.743320692 1
0.1%
205331.700588625 1
0.1%
204619.863730079 1
0.1%
203492.652003776 1
0.1%
202095.800730316 1
0.1%
201296.909639294 1
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)41.6%
Missing567
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean9.2532636 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros70
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:16.250159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median50000000
Q33.0443486 × 108
95-th percentile4.9289861 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.8443486 × 108

Descriptive statistics

Standard deviation2.1976051 × 1012
Coefficient of variation (CV)23.749514
Kurtosis698.86256
Mean9.2532636 × 1010
Median Absolute Deviation (MAD)50000000
Skewness26.370002
Sum6.5420574 × 1013
Variance4.8294682 × 1024
MonotonicityNot monotonic
2024-04-17T15:09:16.387813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 151
 
11.9%
0 70
 
5.5%
10000000 47
 
3.7%
100000000 36
 
2.8%
30000000 27
 
2.1%
20000000 25
 
2.0%
150000000 16
 
1.3%
1000000 9
 
0.7%
300000000 9
 
0.7%
5000000 8
 
0.6%
Other values (284) 309
24.3%
(Missing) 567
44.5%
ValueCountFrequency (%)
0 70
5.5%
50000 1
 
0.1%
199560 1
 
0.1%
300000 1
 
0.1%
1000000 9
 
0.7%
2000000 2
 
0.2%
2968387 1
 
0.1%
3000000 2
 
0.2%
4195000 1
 
0.1%
5000000 8
 
0.6%
ValueCountFrequency (%)
58274736121400 1
0.1%
4287171590435 1
0.1%
813483890826 1
0.1%
771591249407 1
0.1%
154739323959 1
0.1%
120453637382 1
0.1%
100091909215 1
0.1%
86314571577 1
0.1%
67525432454 1
0.1%
49418153697 1
0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct259
Distinct (%)36.8%
Missing570
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean8.2675959 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros411
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:16.516046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.42701 × 108
95-th percentile3.9840629 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.42701 × 108

Descriptive statistics

Standard deviation2.0032159 × 1012
Coefficient of variation (CV)24.229727
Kurtosis696.65097
Mean8.2675959 × 1010
Median Absolute Deviation (MAD)0
Skewness26.334411
Sum5.8203875 × 1013
Variance4.012874 × 1024
MonotonicityNot monotonic
2024-04-17T15:09:16.650974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 411
32.3%
100000000 9
 
0.7%
50000000 7
 
0.5%
30000000 7
 
0.5%
20000000 6
 
0.5%
80000000 4
 
0.3%
10000000 4
 
0.3%
16011376981 2
 
0.2%
150000000 2
 
0.2%
55000000 2
 
0.2%
Other values (249) 250
19.6%
(Missing) 570
44.7%
ValueCountFrequency (%)
0 411
32.3%
55356 1
 
0.1%
443448 1
 
0.1%
968387 1
 
0.1%
985303 1
 
0.1%
1101240 1
 
0.1%
1256855 1
 
0.1%
1261800 1
 
0.1%
1273100 1
 
0.1%
1700000 1
 
0.1%
ValueCountFrequency (%)
53019720896146 1
0.1%
3781725721668 1
0.1%
665004058309 1
0.1%
101945709477 1
0.1%
72002590189 1
0.1%
71755142536 1
0.1%
31483064051 1
0.1%
30070787337 1
0.1%
28837496915 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct144
Distinct (%)20.4%
Missing569
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean9.3385492 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros29
Zeros (%)2.3%
Negative3
Negative (%)0.2%
Memory size11.3 KiB
2024-04-17T15:09:16.771846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile208777.6
Q120000000
median50000000
Q31.5 × 108
95-th percentile1.17 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)1.3 × 108

Descriptive statistics

Standard deviation1.9999633 × 1011
Coefficient of variation (CV)21.41621
Kurtosis675.27275
Mean9.3385492 × 109
Median Absolute Deviation (MAD)40000000
Skewness25.775373
Sum6.5836772 × 1012
Variance3.9998531 × 1022
MonotonicityNot monotonic
2024-04-17T15:09:16.892483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 239
18.8%
10000000 68
 
5.3%
100000000 54
 
4.2%
150000000 38
 
3.0%
30000000 30
 
2.4%
0 29
 
2.3%
20000000 26
 
2.0%
300000000 19
 
1.5%
1000000 13
 
1.0%
5000000 11
 
0.9%
Other values (134) 178
 
14.0%
(Missing) 569
44.7%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-30721315 1
 
0.1%
0 29
2.3%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
243888 1
 
0.1%
250000 1
 
0.1%
300000 1
 
0.1%
ValueCountFrequency (%)
5255015225254 1
0.1%
741481300637 1
0.1%
218000000000 1
0.1%
61194035158 1
0.1%
31000000000 1
0.1%
30860000000 1
0.1%
21633164631 1
0.1%
20747480000 1
0.1%
20000000000 2
0.2%
10929308930 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1274
Missing (%)100.0%
Memory size11.3 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1274
Missing (%)100.0%
Memory size11.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
01전화권유판매업08_26_03_P3250000201832500832420000120180314<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-466-0046<NA><NA>부산광역시 중구 중앙동*가 **-**부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)48936코어(CORE)20201007125757U2020-10-09 02:40:00.0<NA>385752.555956180859.809126<NA><NA><NA><NA><NA>
12전화권유판매업08_26_03_P3250000202132501452420000120210415<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동*가 **-*부산광역시 중구 충장대로*번길 **-*, ***호 (중앙동*가)48937주식회사 보우정보20210415164804I2021-04-17 00:22:58.0<NA>385737.128798180747.48756650000000050000000<NA><NA>
23전화권유판매업08_26_03_P3250000200832500592420000120080416<NA>3폐업3폐업처리20100331<NA><NA><NA>051 710 0088<NA>600012부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)<NA>(주)두성크리에이터20100331155844I2018-08-31 23:59:59.0<NA>385568.38851179981.05839450000000050000000<NA><NA>
34전화권유판매업08_26_03_P3250000200732500592420003220070507<NA>3폐업3폐업처리20090310<NA><NA><NA>051 465 2480<NA>600714부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)<NA>(주)야마야푸즈서비스20090311134734I2018-08-31 23:59:59.0<NA>385666.280865179774.15839628859957589283668222000000000<NA><NA>
45전화권유판매업08_26_03_P3250000200932500832420000120080414<NA>3폐업3폐업처리20101123<NA><NA><NA><NA><NA>600816부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층부산광역시 중구 중앙대로 *** (중앙동*가)600816(주)텔라이브20111030143121I2018-08-31 23:59:59.0<NA>385709.21692180842.067771430355559118420371100000000<NA><NA>
56전화권유판매업08_26_03_P3250000201332500832420000120130509<NA>3폐업3폐업처리20201228<NA><NA><NA>051-463-3556<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)600815한국사진기자협회 영남지사20201228141512U2020-12-30 02:40:00.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
67전화권유판매업08_26_03_P3250000200732500592420003420070716<NA>3폐업3폐업처리20080125<NA><NA><NA>051 441 2905<NA>600721부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,흥우빌딩 *층)<NA>(주)유니원20080125141937I2018-08-31 23:59:59.0<NA>385614.928478180471.183034877495656549881097350000000<NA><NA>
78전화권유판매업08_26_03_P3250000201332500832420000220130621<NA>3폐업3폐업처리20141231<NA><NA><NA>051-464-5288<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보부산사옥)600815한국조사기자협회 영남지부20141231101215I2018-08-31 23:59:59.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
89전화권유판매업08_26_03_P3250000200832500592420000320080428<NA>3폐업3폐업처리20080826<NA><NA><NA>051 711 3000<NA>600723부산광역시 중구 중앙동*가 **번지 **호 정석빌딩 ***호부산광역시 중구 중앙대로 **, ***호 (중앙동*가,정석빌딩)<NA>(주)대광인베스트20080826151327I2018-08-31 23:59:59.0<NA>385616.660201180406.241288319817275329852750000000<NA><NA>
910전화권유판매업08_26_03_P3250000200832500592420000420080623<NA>3폐업3폐업처리20090617<NA><NA><NA>051 441 8837<NA>600110부산광역시 중구 영주동 ***번지 **호부산광역시 중구 동영로 ** (영주동)<NA>늘푸른유통20111030150209I2018-08-31 23:59:59.0<NA>385156.035884180976.447427<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12641265전화권유판매업08_26_03_P3330000200833300822420000820081015<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>612816부산광역시 해운대구 반여동 ****번지 **호 **통 *반 ***호부산광역시 해운대구 재반로***번길 **-**, ***호 (반여동)<NA>리버비즈넷20151221165220I2018-08-31 23:59:59.0<NA>394323.178469191066.300304<NA><NA><NA><NA><NA>
12651266전화권유판매업08_26_03_P3330000200833300822420001020081211<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-747-0734<NA>612010부산광역시 해운대구 중동 ****-* 영풍리젠시 ***호<NA><NA>그루정보(주)20151221165108I2018-08-31 23:59:59.0<NA><NA><NA>000<NA><NA>
12661267전화권유판매업08_26_03_P3330000200933300822420000120070828<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-818-7049<NA>612080부산광역시 해운대구 반송동 ***-****<NA><NA>(주)푸른솔20151221164929I2018-08-31 23:59:59.0<NA><NA><NA>318093009108794916150000000<NA><NA>
12671268전화권유판매업08_26_03_P3330000200933300822420000520090825<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-906-8554<NA>612020부산광역시 해운대구 우동 ****-* 신세계프라자*층<NA><NA>주식회사 에스플러스 부산지점20151221164833I2018-08-31 23:59:59.0<NA><NA><NA>4000000000400000000<NA><NA>
12681269전화권유판매업08_26_03_P3330000201033301032420000220100208<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>906-8514<NA>612020부산광역시 해운대구 우동 ****번지 *호 신세계프라자 ***호부산광역시 해운대구 해운대로 *** (우동,신세계프라자 ***호)<NA>라온정보통신20151221164730I2018-08-31 23:59:59.0<NA>394974.292766187505.19499<NA><NA><NA><NA><NA>
12691270전화권유판매업08_26_03_P3330000201033301032420000320100216<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>612060부산광역시 해운대구 반여동 ****번지 *호 ***부산광역시 해운대구 해운대로 ** (반여동,***)<NA>글로벌 정보통신20151221164640I2018-08-31 23:59:59.0<NA>392600.90591190451.876488<NA><NA><NA><NA><NA>
12701271전화권유판매업08_26_03_P3330000200933300822420000320090323<NA>4취소/말소/만료/정지/중지7직권말소20101207<NA><NA><NA>070-8255-3250<NA>612020부산광역시 해운대구 우동 ****-* 해운대두산위브포세이돈 ***-****<NA><NA>창20110114152413I2018-08-31 23:59:59.0<NA><NA><NA>50000000050000000<NA><NA>
12711272전화권유판매업08_26_03_P3330000201033301032420000620100427<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>711-0003<NA>612020부산광역시 해운대구 우동 ****번지 센텀타워메디칼부산광역시 해운대구 센텀*로 ** (우동,센텀타워메디칼)<NA>(주)부동산코리아20151221164425I2018-08-31 23:59:59.0<NA>394176.848642187415.090101000<NA><NA>
12721273전화권유판매업08_26_03_P3330000201133301032420000520110218<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>070-7644-0520<NA>612040부산광역시 해운대구 송정동 ***번지 **호 **통 *반부산광역시 해운대구 송정광어골로 **-* (송정동)<NA>백송텔레콤20151221164223I2018-08-31 23:59:59.0<NA>400121.762501188911.107532<NA><NA><NA><NA><NA>
12731274전화권유판매업08_26_03_P3330000201833301322420000520181005<NA>4취소/말소/만료/정지/중지7직권말소20191219<NA><NA><NA>051-746-9630<NA><NA>부산광역시 해운대구 우동 ****번지 벽산이센텀클래스원*차부산광역시 해운대구 센텀동로 **, 벽산이센텀클래스원*차 ****호 (우동)48059시제이 헬로고 해운대 기장방송20191224144635U2019-12-26 02:40:00.0<NA>393790.344709188235.889521<NA><NA><NA><NA><NA>