Overview

Dataset statistics

Number of variables33
Number of observations1276
Missing cells12479
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory357.8 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2021-09-01
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 1220 (95.6%) missing valuesMissing
폐업일자 has 259 (20.3%) missing valuesMissing
휴업시작일자 has 1260 (98.7%) missing valuesMissing
휴업종료일자 has 1260 (98.7%) missing valuesMissing
소재지전화 has 180 (14.1%) missing valuesMissing
소재지면적 has 1276 (100.0%) missing valuesMissing
소재지우편번호 has 454 (35.6%) missing valuesMissing
소재지전체주소 has 231 (18.1%) missing valuesMissing
도로명전체주소 has 67 (5.3%) missing valuesMissing
도로명우편번호 has 642 (50.3%) missing valuesMissing
업태구분명 has 1276 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.8%) missing valuesMissing
좌표정보(y) has 48 (3.8%) missing valuesMissing
자산규모 has 567 (44.4%) missing valuesMissing
부채총액 has 570 (44.7%) missing valuesMissing
자본금 has 569 (44.6%) missing valuesMissing
판매방식명 has 1276 (100.0%) missing valuesMissing
Unnamed: 32 has 1276 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 26.40727525)Skewed
부채총액 is highly skewed (γ1 = 26.37179303)Skewed
자본금 is highly skewed (γ1 = 25.81191012)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 72 (5.6%) zerosZeros
부채총액 has 413 (32.4%) zerosZeros
자본금 has 31 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-17 06:08:56.626415
Analysis finished2024-04-17 06:08:57.421911
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1276
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean638.5
Minimum1
Maximum1276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:08:57.479352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.75
Q1319.75
median638.5
Q3957.25
95-th percentile1212.25
Maximum1276
Range1275
Interquartile range (IQR)637.5

Descriptive statistics

Standard deviation368.49378
Coefficient of variation (CV)0.57712417
Kurtosis-1.2
Mean638.5
Median Absolute Deviation (MAD)319
Skewness0
Sum814726
Variance135787.67
MonotonicityStrictly increasing
2024-04-17T15:08:57.609339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
850 1
 
0.1%
857 1
 
0.1%
856 1
 
0.1%
855 1
 
0.1%
854 1
 
0.1%
853 1
 
0.1%
852 1
 
0.1%
851 1
 
0.1%
849 1
 
0.1%
Other values (1266) 1266
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 (%)
1276 1
0.1%
1275 1
0.1%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
전화권유판매업
1276 

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 1276
100.0%

Length

2024-04-17T15:08:57.742124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:57.829236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1276
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
08_26_03_P
1276 

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 1276
100.0%

Length

2024-04-17T15:08:57.916471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:57.999335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1276
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322750.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:08:58.083006image/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 deviation39529.039
Coefficient of variation (CV)0.01189648
Kurtosis-1.2230317
Mean3322750.8
Median Absolute Deviation (MAD)20000
Skewness0.26417707
Sum4.23983 × 109
Variance1.5625449 × 109
MonotonicityNot monotonic
2024-04-17T15:08:58.188988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 369
28.9%
3370000 197
15.4%
3330000 114
 
8.9%
3300000 107
 
8.4%
3350000 88
 
6.9%
3270000 87
 
6.8%
3380000 73
 
5.7%
3390000 45
 
3.5%
3310000 44
 
3.4%
3320000 40
 
3.1%
Other values (6) 112
 
8.8%
ValueCountFrequency (%)
3250000 27
 
2.1%
3260000 7
 
0.5%
3270000 87
 
6.8%
3280000 7
 
0.5%
3290000 369
28.9%
3300000 107
 
8.4%
3310000 44
 
3.4%
3320000 40
 
3.1%
3330000 114
 
8.9%
3340000 37
 
2.9%
ValueCountFrequency (%)
3400000 21
 
1.6%
3390000 45
 
3.5%
3380000 73
 
5.7%
3370000 197
15.4%
3360000 13
 
1.0%
3350000 88
6.9%
3340000 37
 
2.9%
3330000 114
8.9%
3320000 40
 
3.1%
3310000 44
 
3.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1276
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119075 × 1018
Minimum2.002329 × 1018
Maximum2.02134 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:08:58.304432image/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 percentile2.020331 × 1018
Maximum2.02134 × 1018
Range1.9011002 × 1016
Interquartile range (IQR)6.9990043 × 1015

Descriptive statistics

Standard deviation4.3565019 × 1015
Coefficient of variation (CV)0.0021653589
Kurtosis-0.71212721
Mean2.0119075 × 1018
Median Absolute Deviation (MAD)3.0020008 × 1015
Skewness0.46465055
Sum3.0965676 × 1018
Variance1.8979109 × 1031
MonotonicityNot monotonic
2024-04-17T15:08:58.463882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2014327008624200005 1
 
0.1%
2007327007124200005 1
 
0.1%
2007327007124200004 1
 
0.1%
2007327007124200002 1
 
0.1%
2021327013924200002 1
 
0.1%
2019327013924200001 1
 
0.1%
2016327008624200007 1
 
0.1%
2016327008624200004 1
 
0.1%
2014327008624200004 1
 
0.1%
Other values (1266) 1266
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%
2021337010624200003 1
0.1%
2021337010624200002 1
0.1%
2021337010624200001 1
0.1%
2021336014524200001 1
0.1%
2021335011224200005 1
0.1%

인허가일자
Real number (ℝ)

Distinct1005
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112357
Minimum20020820
Maximum20210719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:08:58.591135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050914
Q120080408
median20101212
Q320141014
95-th percentile20200115
Maximum20210719
Range189899
Interquartile range (IQR)60606

Descriptive statistics

Standard deviation44192.225
Coefficient of variation (CV)0.0021972674
Kurtosis-0.63583213
Mean20112357
Median Absolute Deviation (MAD)30387
Skewness0.45155176
Sum2.5663367 × 1010
Variance1.9529527 × 109
MonotonicityNot monotonic
2024-04-17T15:08:58.712221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080527 8
 
0.6%
20080826 8
 
0.6%
20080526 6
 
0.5%
20120106 5
 
0.4%
20150304 5
 
0.4%
20161013 5
 
0.4%
20080320 4
 
0.3%
20100310 4
 
0.3%
20070528 4
 
0.3%
20070521 4
 
0.3%
Other values (995) 1223
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 (%)
20210719 1
0.1%
20210705 1
0.1%
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%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1220
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:08:58.859334image/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
2024-04-17T15:08:58.989460image/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) 1220
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
623 
4
449 
1
192 
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 623
48.8%
4 449
35.2%
1 192
 
15.0%
2 12
 
0.9%

Length

2024-04-17T15:08:59.104465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:59.200972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 623
48.8%
4 449
35.2%
1 192
 
15.0%
2 12
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
폐업
623 
취소/말소/만료/정지/중지
449 
영업/정상
192 
휴업
 
12

Length

Max length14
Median length5
Mean length6.6739812
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 623
48.8%
취소/말소/만료/정지/중지 449
35.2%
영업/정상 192
 
15.0%
휴업 12
 
0.9%

Length

2024-04-17T15:08:59.308227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:59.403750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 623
48.8%
취소/말소/만료/정지/중지 449
35.2%
영업/정상 192
 
15.0%
휴업 12
 
0.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
3
623 
7
390 
1
192 
4
 
59
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 623
48.8%
7 390
30.6%
1 192
 
15.0%
4 59
 
4.6%
2 12
 
0.9%

Length

2024-04-17T15:08:59.505742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:59.600592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 623
48.8%
7 390
30.6%
1 192
 
15.0%
4 59
 
4.6%
2 12
 
0.9%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
폐업처리
623 
직권말소
390 
정상영업
192 
직권취소
 
59
휴업처리
 
12

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 623
48.8%
직권말소 390
30.6%
정상영업 192
 
15.0%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

Length

2024-04-17T15:08:59.708767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:59.809863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 623
48.8%
직권말소 390
30.6%
정상영업 192
 
15.0%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct624
Distinct (%)61.4%
Missing259
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean20130647
Minimum20070604
Maximum20210706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:08:59.922350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080520
Q120100514
median20130627
Q320160229
95-th percentile20190844
Maximum20210706
Range140102
Interquartile range (IQR)59715

Descriptive statistics

Standard deviation34471.832
Coefficient of variation (CV)0.0017124055
Kurtosis-0.87316783
Mean20130647
Median Absolute Deviation (MAD)29811
Skewness0.19410895
Sum2.0472868 × 1010
Variance1.1883072 × 109
MonotonicityNot monotonic
2024-04-17T15:09:00.051648image/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%
20140901 12
 
0.9%
20120814 12
 
0.9%
20130204 11
 
0.9%
20090604 10
 
0.8%
20101231 9
 
0.7%
20100514 9
 
0.7%
20130827 9
 
0.7%
Other values (614) 902
70.7%
(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 (%)
20210706 1
0.1%
20210630 1
0.1%
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%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing1260
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20167015
Minimum20090226
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:00.166418image/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
2024-04-17T15:09:00.542242image/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) 1260
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%
Missing1260
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20180806
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:00.675225image/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
2024-04-17T15:09:00.780891image/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) 1260
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>
1272 
20060126
 
1
20100217
 
1
20200312
 
1
20090724
 
1

Length

Max length8
Median length4
Mean length4.0125392
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> 1272
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:09:00.907724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:01.025014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1272
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1021
Distinct (%)93.2%
Missing180
Missing (%)14.1%
Memory size10.1 KiB
2024-04-17T15:09:01.250634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.903285
Min length1

Characters and Unicode

Total characters11950
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

Unique954 ?
Unique (%)87.0%

Sample

1st row051-466-0046
2nd row051-207-1111
3rd row051 710 0088
4th row051 465 2480
5th row051-463-3556
ValueCountFrequency (%)
051 97
 
7.5%
711 6
 
0.5%
853 5
 
0.4%
051-747-5044 4
 
0.3%
868 4
 
0.3%
851 4
 
0.3%
906 4
 
0.3%
465 4
 
0.3%
517 4
 
0.3%
861 4
 
0.3%
Other values (1065) 1155
89.5%
2024-04-17T15:09:01.630415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2164
18.1%
1 1595
13.3%
- 1585
13.3%
5 1518
12.7%
8 847
 
7.1%
7 818
 
6.8%
6 770
 
6.4%
9 638
 
5.3%
3 617
 
5.2%
4 614
 
5.1%
Other values (6) 784
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10152
85.0%
Dash Punctuation 1585
 
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 2164
21.3%
1 1595
15.7%
5 1518
15.0%
8 847
 
8.3%
7 818
 
8.1%
6 770
 
7.6%
9 638
 
6.3%
3 617
 
6.1%
4 614
 
6.0%
2 571
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1585
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 11950
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2164
18.1%
1 1595
13.3%
- 1585
13.3%
5 1518
12.7%
8 847
 
7.1%
7 818
 
6.8%
6 770
 
6.4%
9 638
 
5.3%
3 617
 
5.2%
4 614
 
5.1%
Other values (6) 784
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2164
18.1%
1 1595
13.3%
- 1585
13.3%
5 1518
12.7%
8 847
 
7.1%
7 818
 
6.8%
6 770
 
6.4%
9 638
 
5.3%
3 617
 
5.2%
4 614
 
5.1%
Other values (6) 784
 
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1276
Missing (%)100.0%
Memory size11.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing454
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:01.762667image/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
2024-04-17T15:09:01.896581image/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
44.4%
(Missing) 454
35.6%
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 

Distinct789
Distinct (%)75.5%
Missing231
Missing (%)18.1%
Memory size10.1 KiB
2024-04-17T15:09:02.162332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.661244
Min length12

Characters and Unicode

Total characters29951
Distinct characters335
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 (%)63.3%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **-*
3rd row부산광역시 중구 중앙동*가 **-*
4th row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
ValueCountFrequency (%)
호 1061
16.9%
부산광역시 1044
16.6%
번지 969
15.4%
층 336
 
5.3%
부산진구 291
 
4.6%
연제구 181
 
2.9%
연산동 124
 
2.0%
96
 
1.5%
동래구 92
 
1.5%
부전동 88
 
1.4%
Other values (597) 2003
31.9%
2024-04-17T15:09:02.561288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6107
20.4%
5264
17.6%
산 1535
 
5.1%
부 1488
 
5.0%
동 1272
 
4.2%
호 1085
 
3.6%
광 1079
 
3.6%
시 1062
 
3.5%
구 1055
 
3.5%
역 1048
 
3.5%
Other values (325) 8956
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18371
61.3%
Other Punctuation 6137
 
20.5%
Space Separator 5264
 
17.6%
Uppercase Letter 91
 
0.3%
Dash Punctuation 72
 
0.2%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1535
 
8.4%
부 1488
 
8.1%
동 1272
 
6.9%
호 1085
 
5.9%
광 1079
 
5.9%
시 1062
 
5.8%
구 1055
 
5.7%
역 1048
 
5.7%
지 1023
 
5.6%
번 970
 
5.3%
Other values (300) 6754
36.8%
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%
C 2
 
2.2%
A 2
 
2.2%
I 2
 
2.2%
H 2
 
2.2%
Other values (5) 5
 
5.5%
Other Punctuation
ValueCountFrequency (%)
* 6107
99.5%
, 22
 
0.4%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18371
61.3%
Common 11486
38.3%
Latin 94
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1535
 
8.4%
부 1488
 
8.1%
동 1272
 
6.9%
호 1085
 
5.9%
광 1079
 
5.9%
시 1062
 
5.8%
구 1055
 
5.7%
역 1048
 
5.7%
지 1023
 
5.6%
번 970
 
5.3%
Other values (300) 6754
36.8%
Latin
ValueCountFrequency (%)
T 24
25.5%
K 23
24.5%
B 12
12.8%
S 10
10.6%
O 6
 
6.4%
e 3
 
3.2%
D 3
 
3.2%
C 2
 
2.1%
A 2
 
2.1%
I 2
 
2.1%
Other values (6) 7
 
7.4%
Common
ValueCountFrequency (%)
* 6107
53.2%
5264
45.8%
- 72
 
0.6%
, 22
 
0.2%
/ 7
 
0.1%
) 5
 
< 0.1%
( 5
 
< 0.1%
~ 3
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18371
61.3%
ASCII 11580
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6107
52.7%
5264
45.5%
- 72
 
0.6%
T 24
 
0.2%
K 23
 
0.2%
, 22
 
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 1535
 
8.4%
부 1488
 
8.1%
동 1272
 
6.9%
호 1085
 
5.9%
광 1079
 
5.9%
시 1062
 
5.8%
구 1055
 
5.7%
역 1048
 
5.7%
지 1023
 
5.6%
번 970
 
5.3%
Other values (300) 6754
36.8%

도로명전체주소
Text

MISSING 

Distinct1028
Distinct (%)85.0%
Missing67
Missing (%)5.3%
Memory size10.1 KiB
2024-04-17T15:09:02.801688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length33.200165
Min length21

Characters and Unicode

Total characters40139
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

Unique898 ?
Unique (%)74.3%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 충장대로*번길 **-*, *층 (중앙동*가)
3rd row부산광역시 중구 충장대로*번길 **-*, ***호 (중앙동*가)
4th row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
5th row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
ValueCountFrequency (%)
1240
16.8%
부산광역시 1209
16.4%
층 471
 
6.4%
호 367
 
5.0%
부산진구 357
 
4.8%
중앙대로 245
 
3.3%
연제구 196
 
2.7%
해운대구 107
 
1.4%
연산동 102
 
1.4%
동래구 87
 
1.2%
Other values (1014) 3002
40.7%
2024-04-17T15:09:03.158053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6262
 
15.6%
6181
 
15.4%
산 1798
 
4.5%
부 1782
 
4.4%
동 1588
 
4.0%
, 1317
 
3.3%
시 1265
 
3.2%
광 1263
 
3.1%
구 1218
 
3.0%
역 1212
 
3.0%
Other values (355) 16253
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23708
59.1%
Other Punctuation 7586
 
18.9%
Space Separator 6181
 
15.4%
Close Punctuation 1200
 
3.0%
Open Punctuation 1200
 
3.0%
Uppercase Letter 128
 
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 1798
 
7.6%
부 1782
 
7.5%
동 1588
 
6.7%
시 1265
 
5.3%
광 1263
 
5.3%
구 1218
 
5.1%
역 1212
 
5.1%
로 1211
 
5.1%
대 702
 
3.0%
층 601
 
2.5%
Other values (328) 11068
46.7%
Uppercase Letter
ValueCountFrequency (%)
K 36
28.1%
T 36
28.1%
B 12
 
9.4%
S 8
 
6.2%
O 6
 
4.7%
C 5
 
3.9%
A 4
 
3.1%
E 3
 
2.3%
I 3
 
2.3%
V 3
 
2.3%
Other values (6) 12
 
9.4%
Other Punctuation
ValueCountFrequency (%)
* 6262
82.5%
, 1317
 
17.4%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
k 2
 
22.2%
t 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23708
59.1%
Common 16294
40.6%
Latin 137
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1798
 
7.6%
부 1782
 
7.5%
동 1588
 
6.7%
시 1265
 
5.3%
광 1263
 
5.3%
구 1218
 
5.1%
역 1212
 
5.1%
로 1211
 
5.1%
대 702
 
3.0%
층 601
 
2.5%
Other values (328) 11068
46.7%
Latin
ValueCountFrequency (%)
K 36
26.3%
T 36
26.3%
B 12
 
8.8%
S 8
 
5.8%
O 6
 
4.4%
e 5
 
3.6%
C 5
 
3.6%
A 4
 
2.9%
E 3
 
2.2%
I 3
 
2.2%
Other values (9) 19
13.9%
Common
ValueCountFrequency (%)
* 6262
38.4%
6181
37.9%
, 1317
 
8.1%
) 1200
 
7.4%
( 1200
 
7.4%
- 123
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23708
59.1%
ASCII 16431
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6262
38.1%
6181
37.6%
, 1317
 
8.0%
) 1200
 
7.3%
( 1200
 
7.3%
- 123
 
0.7%
K 36
 
0.2%
T 36
 
0.2%
B 12
 
0.1%
S 8
 
< 0.1%
Other values (17) 56
 
0.3%
Hangul
ValueCountFrequency (%)
산 1798
 
7.6%
부 1782
 
7.5%
동 1588
 
6.7%
시 1265
 
5.3%
광 1263
 
5.3%
구 1218
 
5.1%
역 1212
 
5.1%
로 1211
 
5.1%
대 702
 
3.0%
층 601
 
2.5%
Other values (328) 11068
46.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct370
Distinct (%)58.4%
Missing642
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean323529.15
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:03.273758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46276.95
Q147541
median49342
Q3612556.5
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)565015.5

Descriptive statistics

Standard deviation282380.14
Coefficient of variation (CV)0.87281208
Kurtosis-2.0038988
Mean323529.15
Median Absolute Deviation (MAD)3303.5
Skewness0.044589738
Sum2.0511748 × 108
Variance7.9738546 × 1010
MonotonicityNot monotonic
2024-04-17T15:09:03.383009image/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%
46569 6
 
0.5%
47541 6
 
0.5%
614776 6
 
0.5%
614843 6
 
0.5%
611820 6
 
0.5%
Other values (360) 534
41.8%
(Missing) 642
50.3%
ValueCountFrequency (%)
46008 1
0.1%
46009 1
0.1%
46019 1
0.1%
46021 1
0.1%
46033 1
0.1%
46036 1
0.1%
46037 1
0.1%
46040 1
0.1%
46060 1
0.1%
46067 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

Distinct1218
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-04-17T15:09:03.621813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.7531348
Min length1

Characters and Unicode

Total characters9893
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

Unique1165 ?
Unique (%)91.3%

Sample

1st row코어(CORE)
2nd row(주) 탑아이티텔레콤
3rd row주식회사 보우정보
4th row(주)두성크리에이터
5th row(주)야마야푸즈서비스
ValueCountFrequency (%)
주식회사 180
 
11.2%
주 11
 
0.7%
부산지점 5
 
0.3%
대부중개 5
 
0.3%
주)티브로드 5
 
0.3%
모바일 4
 
0.2%
농업회사법인 4
 
0.2%
유한회사 4
 
0.2%
명성 3
 
0.2%
농업회사법인(주 3
 
0.2%
Other values (1298) 1387
86.1%
2024-04-17T15:09:03.971655image/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) 6442
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8091
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 127
 
1.6%
Other values (422) 5591
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%
O 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%
7 2
 
9.5%
5 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 8103
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
 
3.1%
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 127
 
1.6%
Other values (423) 5603
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%
/ 4
 
0.3%
0 4
 
0.3%
2 3
 
0.2%
7 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8091
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 127
 
1.6%
Other values (422) 5591
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 

Distinct1276
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014096 × 1013
Minimum2.0070731 × 1013
Maximum2.0210728 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:04.100408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080824 × 1013
Q12.0110187 × 1013
median2.0140814 × 1013
Q32.0170506 × 1013
95-th percentile2.0201012 × 1013
Maximum2.0210728 × 1013
Range1.3999701 × 1011
Interquartile range (IQR)6.031826 × 1010

Descriptive statistics

Standard deviation3.844168 × 1010
Coefficient of variation (CV)0.0019086319
Kurtosis-1.0410438
Mean2.014096 × 1013
Median Absolute Deviation (MAD)3.0103014 × 1010
Skewness0.058204894
Sum2.5699866 × 1016
Variance1.4777628 × 1021
MonotonicityNot monotonic
2024-04-17T15:09:04.228745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20180531154510 1
 
0.1%
20100402103227 1
 
0.1%
20090604151704 1
 
0.1%
20090604151746 1
 
0.1%
20210528134413 1
 
0.1%
20191014094810 1
 
0.1%
20200302155946 1
 
0.1%
20171214153835 1
 
0.1%
20150701145533 1
 
0.1%
Other values (1266) 1266
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 (%)
20210728155746 1
0.1%
20210727143610 1
0.1%
20210723133635 1
0.1%
20210719183157 1
0.1%
20210716172642 1
0.1%
20210714210924 1
0.1%
20210713104402 1
0.1%
20210706163950 1
0.1%
20210705104732 1
0.1%
20210625092907 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
I
1127 
U
149 

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 1127
88.3%
U 149
 
11.7%

Length

2024-04-17T15:09:04.348904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:09:04.435100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1127
88.3%
u 149
 
11.7%

데이터갱신일자
Date

Distinct202
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-07-30 02:40:00
2024-04-17T15:09:04.531604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:09:04.654061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1276
Missing (%)100.0%
Memory size11.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct800
Distinct (%)65.1%
Missing48
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean388719.61
Minimum373571.48
Maximum407764.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:04.784633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile380993.64
Q1387469.96
median388641.59
Q3390055.52
95-th percentile395417.55
Maximum407764.36
Range34192.881
Interquartile range (IQR)2585.5616

Descriptive statistics

Standard deviation4031.4515
Coefficient of variation (CV)0.010371104
Kurtosis2.9726874
Mean388719.61
Median Absolute Deviation (MAD)1272.8779
Skewness0.33847363
Sum4.7734768 × 108
Variance16252601
MonotonicityNot monotonic
2024-04-17T15:09:04.908365image/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%
393790.344709358 8
 
0.6%
392859.978697383 8
 
0.6%
388798.742326259 8
 
0.6%
387469.584540928 7
 
0.5%
387625.86797096 7
 
0.5%
Other values (790) 1110
87.0%
(Missing) 48
 
3.8%
ValueCountFrequency (%)
373571.480941768 1
0.1%
373988.512838888 1
0.1%
374253.112340712 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%
ValueCountFrequency (%)
407764.362232371 1
0.1%
407240.89489229 1
0.1%
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%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct799
Distinct (%)65.1%
Missing48
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean187870.61
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:05.051711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180734
Q1185582.27
median187658.4
Q3189714.55
95-th percentile195834.92
Maximum206343.36
Range31416.7
Interquartile range (IQR)4132.2766

Descriptive statistics

Standard deviation4347.9919
Coefficient of variation (CV)0.023143544
Kurtosis1.9571829
Mean187870.61
Median Absolute Deviation (MAD)2063.552
Skewness0.61796381
Sum2.3070511 × 108
Variance18905033
MonotonicityNot monotonic
2024-04-17T15:09:05.224615image/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%
188235.889521484 8
 
0.6%
187523.604270761 8
 
0.6%
188328.743910701 8
 
0.6%
186117.09883859 7
 
0.5%
186406.750870936 7
 
0.5%
Other values (789) 1110
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 1
0.1%
205461.285509767 1
0.1%
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%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)41.5%
Missing567
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean9.2272204 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros72
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:05.368746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median50000000
Q33.0202998 × 108
95-th percentile4.8736482 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.8202998 × 108

Descriptive statistics

Standard deviation2.1945044 × 1012
Coefficient of variation (CV)23.782941
Kurtosis700.8396
Mean9.2272204 × 1010
Median Absolute Deviation (MAD)50000000
Skewness26.407275
Sum6.5420992 × 1013
Variance4.8158496 × 1024
MonotonicityNot monotonic
2024-04-17T15:09:05.497701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 151
 
11.8%
0 72
 
5.6%
10000000 47
 
3.7%
100000000 36
 
2.8%
30000000 27
 
2.1%
20000000 25
 
2.0%
150000000 16
 
1.3%
300000000 9
 
0.7%
1000000 9
 
0.7%
200000000 8
 
0.6%
Other values (284) 309
24.2%
(Missing) 567
44.4%
ValueCountFrequency (%)
0 72
5.6%
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 (%)36.7%
Missing570
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean8.2442032 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros413
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-04-17T15:09:05.640949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.4040592 × 108
95-th percentile3.9621731 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.4040592 × 108

Descriptive statistics

Standard deviation2.0003773 × 1012
Coefficient of variation (CV)24.264046
Kurtosis698.63017
Mean8.2442032 × 1010
Median Absolute Deviation (MAD)0
Skewness26.371793
Sum5.8204074 × 1013
Variance4.0015093 × 1024
MonotonicityNot monotonic
2024-04-17T15:09:05.775221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
32.4%
100000000 9
 
0.7%
30000000 7
 
0.5%
50000000 7
 
0.5%
20000000 6
 
0.5%
10000000 4
 
0.3%
80000000 4
 
0.3%
238797924 2
 
0.2%
16011376981 2
 
0.2%
150000000 2
 
0.2%
Other values (249) 250
19.6%
(Missing) 570
44.7%
ValueCountFrequency (%)
0 413
32.4%
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 (%)44.6%
Infinite0
Infinite (%)0.0%
Mean9.3121318 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros31
Zeros (%)2.4%
Negative3
Negative (%)0.2%
Memory size11.3 KiB
2024-04-17T15:09:05.914162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile50000
Q120000000
median50000000
Q31.5 × 108
95-th percentile1.155 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)1.3 × 108

Descriptive statistics

Standard deviation1.9971346 × 1011
Coefficient of variation (CV)21.446589
Kurtosis677.18865
Mean9.3121318 × 109
Median Absolute Deviation (MAD)40000000
Skewness25.81191
Sum6.5836772 × 1012
Variance3.9885467 × 1022
MonotonicityNot monotonic
2024-04-17T15:09:06.043204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 239
18.7%
10000000 68
 
5.3%
100000000 54
 
4.2%
150000000 38
 
3.0%
0 31
 
2.4%
30000000 30
 
2.4%
20000000 26
 
2.0%
300000000 19
 
1.5%
1000000 13
 
1.0%
5000000 11
 
0.9%
Other values (134) 178
 
13.9%
(Missing) 569
44.6%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-30721315 1
 
0.1%
0 31
2.4%
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 

Missing1276
Missing (%)100.0%
Memory size11.3 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1276
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_P3250000202132501452420000220150831<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-207-1111<NA><NA>부산광역시 중구 중앙동*가 **-*부산광역시 중구 충장대로*번길 **-*, *층 (중앙동*가)48937(주) 탑아이티텔레콤20210716172642I2021-07-18 00:23:06.0<NA>385737.128798180747.48756696388864054790608909098050<NA><NA>
23전화권유판매업08_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>
34전화권유판매업08_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>
45전화권유판매업08_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>
56전화권유판매업08_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>
67전화권유판매업08_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>
78전화권유판매업08_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>
89전화권유판매업08_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>
910전화권유판매업08_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12661267전화권유판매업08_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>
12671268전화권유판매업08_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>
12681269전화권유판매업08_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>
12691270전화권유판매업08_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>
12701271전화권유판매업08_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>
12711272전화권유판매업08_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>
12721273전화권유판매업08_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>
12731274전화권유판매업08_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>
12741275전화권유판매업08_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>
12751276전화권유판매업08_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>