Overview

Dataset statistics

Number of variables33
Number of observations1309
Missing cells12736
Missing cells (%)29.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory367.0 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2022-10-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123127

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
재개업일자 is highly imbalanced (98.3%)Imbalance
인허가취소일자 has 1253 (95.7%) missing valuesMissing
폐업일자 has 273 (20.9%) missing valuesMissing
휴업시작일자 has 1292 (98.7%) missing valuesMissing
휴업종료일자 has 1292 (98.7%) missing valuesMissing
소재지전화 has 199 (15.2%) missing valuesMissing
소재지면적 has 1309 (100.0%) missing valuesMissing
소재지우편번호 has 487 (37.2%) missing valuesMissing
소재지전체주소 has 230 (17.6%) missing valuesMissing
도로명전체주소 has 67 (5.1%) missing valuesMissing
도로명우편번호 has 642 (49.0%) missing valuesMissing
업태구분명 has 1309 (100.0%) missing valuesMissing
좌표정보(x) has 49 (3.7%) missing valuesMissing
좌표정보(y) has 49 (3.7%) missing valuesMissing
자산규모 has 554 (42.3%) missing valuesMissing
부채총액 has 557 (42.6%) missing valuesMissing
자본금 has 556 (42.5%) missing valuesMissing
판매방식명 has 1309 (100.0%) missing valuesMissing
Unnamed: 32 has 1309 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 27.25048219)Skewed
부채총액 is highly skewed (γ1 = 27.21740309)Skewed
자본금 is highly skewed (γ1 = 26.6381822)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 107 (8.2%) zerosZeros
부채총액 has 452 (34.5%) zerosZeros
자본금 has 67 (5.1%) zerosZeros

Reproduction

Analysis started2024-04-17 06:06:37.793428
Analysis finished2024-04-17 06:06:38.567651
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean655
Minimum1
Maximum1309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:38.627808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile66.4
Q1328
median655
Q3982
95-th percentile1243.6
Maximum1309
Range1308
Interquartile range (IQR)654

Descriptive statistics

Standard deviation378.02006
Coefficient of variation (CV)0.57712986
Kurtosis-1.2
Mean655
Median Absolute Deviation (MAD)327
Skewness0
Sum857395
Variance142899.17
MonotonicityStrictly increasing
2024-04-17T15:06:38.765337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
861 1
 
0.1%
879 1
 
0.1%
878 1
 
0.1%
877 1
 
0.1%
876 1
 
0.1%
875 1
 
0.1%
874 1
 
0.1%
873 1
 
0.1%
872 1
 
0.1%
Other values (1299) 1299
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 (%)
1309 1
0.1%
1308 1
0.1%
1307 1
0.1%
1306 1
0.1%
1305 1
0.1%
1304 1
0.1%
1303 1
0.1%
1302 1
0.1%
1301 1
0.1%
1300 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
전화권유판매업
1309 

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 1309
100.0%

Length

2024-04-17T15:06:38.870280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:38.962460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1309
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
08_26_03_P
1309 

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 1309
100.0%

Length

2024-04-17T15:06:39.042891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:39.120592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1309
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322757.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:39.203843image/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 deviation39396.675
Coefficient of variation (CV)0.01185662
Kurtosis-1.2108398
Mean3322757.8
Median Absolute Deviation (MAD)20000
Skewness0.27109325
Sum4.34949 × 109
Variance1.552098 × 109
MonotonicityIncreasing
2024-04-17T15:06:39.303131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 376
28.7%
3370000 199
15.2%
3330000 122
 
9.3%
3300000 111
 
8.5%
3350000 89
 
6.8%
3270000 87
 
6.6%
3380000 73
 
5.6%
3390000 47
 
3.6%
3310000 47
 
3.6%
3320000 41
 
3.1%
Other values (6) 117
 
8.9%
ValueCountFrequency (%)
3250000 26
 
2.0%
3260000 9
 
0.7%
3270000 87
 
6.6%
3280000 8
 
0.6%
3290000 376
28.7%
3300000 111
 
8.5%
3310000 47
 
3.6%
3320000 41
 
3.1%
3330000 122
 
9.3%
3340000 37
 
2.8%
ValueCountFrequency (%)
3400000 22
 
1.7%
3390000 47
 
3.6%
3380000 73
 
5.6%
3370000 199
15.2%
3360000 15
 
1.1%
3350000 89
6.8%
3340000 37
 
2.8%
3330000 122
9.3%
3320000 41
 
3.1%
3310000 47
 
3.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0121803 × 1018
Minimum2.002329 × 1018
Maximum2.02234 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:39.412507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.0063278 × 1018
Q12.00833 × 1018
median2.01133 × 1018
Q32.015333 × 1018
95-th percentile2.0213296 × 1018
Maximum2.02234 × 1018
Range2.0011002 × 1016
Interquartile range (IQR)7.0030039 × 1015

Descriptive statistics

Standard deviation4.6172593 × 1015
Coefficient of variation (CV)0.0022946549
Kurtosis-0.67585717
Mean2.0121803 × 1018
Median Absolute Deviation (MAD)3.0030024 × 1015
Skewness0.51166845
Sum-3.9404423 × 1018
Variance2.1319083 × 1031
MonotonicityNot monotonic
2024-04-17T15:06:39.537763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2007334006624200010 1
 
0.1%
2021335011224200002 1
 
0.1%
2012335008524200003 1
 
0.1%
2017335010024200006 1
 
0.1%
2015335010024200001 1
 
0.1%
2012335008524200008 1
 
0.1%
2016335010024200004 1
 
0.1%
2021335011224200005 1
 
0.1%
2021335013524200002 1
 
0.1%
Other values (1299) 1299
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 (%)
2022340010924200001 1
0.1%
2022339010924200001 1
0.1%
2022337010624200001 1
0.1%
2022336014524200001 1
0.1%
2022335013524200003 1
0.1%
2022335013524200002 1
0.1%
2022335013524200001 1
0.1%
2022334013124200001 1
0.1%
2022333015124200006 1
0.1%
2022333015124200005 1
0.1%

인허가일자
Real number (ℝ)

Distinct1035
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115040
Minimum20020820
Maximum20220801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:39.672193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050924
Q120080423
median20110223
Q320150206
95-th percentile20201082
Maximum20220801
Range199981
Interquartile range (IQR)69783

Descriptive statistics

Standard deviation46705.659
Coefficient of variation (CV)0.0023219272
Kurtosis-0.61287383
Mean20115040
Median Absolute Deviation (MAD)30397
Skewness0.49693501
Sum2.6330588 × 1010
Variance2.1814186 × 109
MonotonicityNot monotonic
2024-04-17T15:06:39.796663image/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%
20161013 5
 
0.4%
20150304 5
 
0.4%
20120106 5
 
0.4%
20070528 4
 
0.3%
20120611 4
 
0.3%
20070521 4
 
0.3%
20090427 4
 
0.3%
Other values (1025) 1256
96.0%
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 (%)
20220801 1
0.1%
20220727 1
0.1%
20220722 1
0.1%
20220721 1
0.1%
20220708 1
0.1%
20220701 1
0.1%
20220630 2
0.2%
20220520 1
0.1%
20220504 1
0.1%
20220429 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1253
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:39.905678image/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
2024-04-17T15:06:40.002110image/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%
20100422 3
 
0.2%
20071226 3
 
0.2%
20090805 3
 
0.2%
20080908 3
 
0.2%
20121205 2
 
0.2%
20080522 2
 
0.2%
Other values (15) 18
 
1.4%
(Missing) 1253
95.7%
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 size10.4 KiB
3
639 
4
453 
1
204 
2
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 639
48.8%
4 453
34.6%
1 204
 
15.6%
2 13
 
1.0%

Length

2024-04-17T15:06:40.102623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:40.186356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 639
48.8%
4 453
34.6%
1 204
 
15.6%
2 13
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
폐업
639 
취소/말소/만료/정지/중지
453 
영업/정상
204 
휴업
 
13

Length

Max length14
Median length5
Mean length6.6203209
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 639
48.8%
취소/말소/만료/정지/중지 453
34.6%
영업/정상 204
 
15.6%
휴업 13
 
1.0%

Length

2024-04-17T15:06:40.280777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:40.366188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 639
48.8%
취소/말소/만료/정지/중지 453
34.6%
영업/정상 204
 
15.6%
휴업 13
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
3
639 
7
394 
1
204 
4
 
59
2
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 639
48.8%
7 394
30.1%
1 204
 
15.6%
4 59
 
4.5%
2 13
 
1.0%

Length

2024-04-17T15:06:40.463083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:40.550622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 639
48.8%
7 394
30.1%
1 204
 
15.6%
4 59
 
4.5%
2 13
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
폐업처리
639 
직권말소
394 
정상영업
204 
직권취소
 
59
휴업처리
 
13

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 639
48.8%
직권말소 394
30.1%
정상영업 204
 
15.6%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

Length

2024-04-17T15:06:40.641545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:40.726336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 639
48.8%
직권말소 394
30.1%
정상영업 204
 
15.6%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct642
Distinct (%)62.0%
Missing273
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean20132230
Minimum20070604
Maximum20220825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:40.836922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080522
Q120100617
median20130827
Q320160525
95-th percentile20200247
Maximum20220825
Range150221
Interquartile range (IQR)59908.5

Descriptive statistics

Standard deviation36070.28
Coefficient of variation (CV)0.0017916684
Kurtosis-0.70783015
Mean20132230
Median Absolute Deviation (MAD)29995.5
Skewness0.2882514
Sum2.085699 × 1010
Variance1.3010651 × 109
MonotonicityNot monotonic
2024-04-17T15:06:40.957198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090817 16
 
1.2%
20170221 14
 
1.1%
20110915 13
 
1.0%
20140901 12
 
0.9%
20120814 12
 
0.9%
20130204 11
 
0.8%
20090604 10
 
0.8%
20160201 9
 
0.7%
20100514 9
 
0.7%
20130827 9
 
0.7%
Other values (632) 921
70.4%
(Missing) 273
 
20.9%
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 (%)
20220825 1
0.1%
20220802 1
0.1%
20220728 1
0.1%
20220502 1
0.1%
20220322 1
0.1%
20220318 1
0.1%
20220301 1
0.1%
20220226 1
0.1%
20220211 1
0.1%
20220128 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing1292
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20171285
Minimum20090226
Maximum20220222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:41.070599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090226
5-th percentile20098943
Q120160819
median20180511
Q320191210
95-th percentile20220218
Maximum20220222
Range129996
Interquartile range (IQR)30391

Descriptive statistics

Standard deviation37715.231
Coefficient of variation (CV)0.0018697486
Kurtosis0.21958984
Mean20171285
Median Absolute Deviation (MAD)19592
Skewness-0.92615127
Sum3.4291185 × 108
Variance1.4224387 × 109
MonotonicityNot monotonic
2024-04-17T15:06:41.173605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20200103 1
 
0.1%
20181031 1
 
0.1%
20090226 1
 
0.1%
20160819 1
 
0.1%
20220217 1
 
0.1%
20190227 1
 
0.1%
20180511 1
 
0.1%
20171122 1
 
0.1%
20191210 1
 
0.1%
20130826 1
 
0.1%
Other values (7) 7
 
0.5%
(Missing) 1292
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 (%)
20220222 1
0.1%
20220217 1
0.1%
20201231 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%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing1292
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20183783
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:41.301085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090630
5-th percentile20106543
Q120161231
median20190930
Q320220817
95-th percentile20232588
Maximum20241231
Range150601
Interquartile range (IQR)59586

Descriptive statistics

Standard deviation42995.603
Coefficient of variation (CV)0.0021302054
Kurtosis-0.039155047
Mean20183783
Median Absolute Deviation (MAD)29887
Skewness-0.7622711
Sum3.4312432 × 108
Variance1.8486219 × 109
MonotonicityNot monotonic
2024-04-17T15:06:41.422871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20191231 2
 
0.2%
20210630 1
 
0.1%
20190930 1
 
0.1%
20090630 1
 
0.1%
20161231 1
 
0.1%
20220817 1
 
0.1%
20190511 1
 
0.1%
20181121 1
 
0.1%
20241231 1
 
0.1%
20230201 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1292
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%
20221231 1
0.1%
20220817 1
0.1%
20210630 1
0.1%
20191231 2
0.2%
20190930 1
0.1%
20190511 1
0.1%
20181121 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
<NA>
1304 
20060126
 
1
20100217
 
1
20220908
 
1
20200312
 
1

Length

Max length8
Median length4
Mean length4.0152788
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1304
99.6%
20060126 1
 
0.1%
20100217 1
 
0.1%
20220908 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:06:41.547152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:41.652007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1304
99.6%
20060126 1
 
0.1%
20100217 1
 
0.1%
20220908 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1035
Distinct (%)93.2%
Missing199
Missing (%)15.2%
Memory size10.4 KiB
2024-04-17T15:06:41.849976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.902703
Min length1

Characters and Unicode

Total characters12102
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

Unique968 ?
Unique (%)87.2%

Sample

1st row051-466-0046
2nd row051 710 0088
3rd row051 465 2480
4th row051-463-3556
5th row051 441 2905
ValueCountFrequency (%)
051 97
 
7.4%
711 6
 
0.5%
853 5
 
0.4%
051-747-5044 4
 
0.3%
868 4
 
0.3%
851 4
 
0.3%
861 4
 
0.3%
906 4
 
0.3%
465 4
 
0.3%
517 4
 
0.3%
Other values (1079) 1169
89.6%
2024-04-17T15:06:42.213550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2185
18.1%
1 1615
13.3%
- 1606
13.3%
5 1530
12.6%
8 860
 
7.1%
7 828
 
6.8%
6 789
 
6.5%
9 648
 
5.4%
3 629
 
5.2%
4 624
 
5.2%
Other values (6) 788
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10283
85.0%
Dash Punctuation 1606
 
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 2185
21.2%
1 1615
15.7%
5 1530
14.9%
8 860
 
8.4%
7 828
 
8.1%
6 789
 
7.7%
9 648
 
6.3%
3 629
 
6.1%
4 624
 
6.1%
2 575
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1606
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 12102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2185
18.1%
1 1615
13.3%
- 1606
13.3%
5 1530
12.6%
8 860
 
7.1%
7 828
 
6.8%
6 789
 
6.5%
9 648
 
5.4%
3 629
 
5.2%
4 624
 
5.2%
Other values (6) 788
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2185
18.1%
1 1615
13.3%
- 1606
13.3%
5 1530
12.6%
8 860
 
7.1%
7 828
 
6.8%
6 789
 
6.5%
9 648
 
5.4%
3 629
 
5.2%
4 624
 
5.2%
Other values (6) 788
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1309
Missing (%)100.0%
Memory size11.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing487
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:42.333638image/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
2024-04-17T15:06:42.456913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614050 45
 
3.4%
614030 42
 
3.2%
607060 26
 
2.0%
614040 26
 
2.0%
612020 26
 
2.0%
611080 24
 
1.8%
614020 21
 
1.6%
611839 18
 
1.4%
613100 14
 
1.1%
613120 13
 
1.0%
Other values (241) 567
43.3%
(Missing) 487
37.2%
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 

Distinct820
Distinct (%)76.0%
Missing230
Missing (%)17.6%
Memory size10.4 KiB
2024-04-17T15:06:42.655527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.569972
Min length12

Characters and Unicode

Total characters30827
Distinct characters336
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

Unique691 ?
Unique (%)64.0%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
3rd row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
4th row부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층
ValueCountFrequency (%)
부산광역시 1078
16.7%
호 1066
16.5%
번지 963
14.9%
층 339
 
5.3%
부산진구 298
 
4.6%
연제구 183
 
2.8%
135
 
2.1%
연산동 125
 
1.9%
동래구 96
 
1.5%
부전동 90
 
1.4%
Other values (618) 2083
32.3%
2024-04-17T15:06:42.978459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6307
20.5%
5401
17.5%
산 1577
 
5.1%
부 1532
 
5.0%
동 1317
 
4.3%
광 1113
 
3.6%
시 1097
 
3.6%
호 1090
 
3.5%
구 1090
 
3.5%
역 1082
 
3.5%
Other values (326) 9221
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18869
61.2%
Other Punctuation 6337
 
20.6%
Space Separator 5401
 
17.5%
Dash Punctuation 104
 
0.3%
Uppercase Letter 94
 
0.3%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1577
 
8.4%
부 1532
 
8.1%
동 1317
 
7.0%
광 1113
 
5.9%
시 1097
 
5.8%
호 1090
 
5.8%
구 1090
 
5.8%
역 1082
 
5.7%
지 1022
 
5.4%
번 964
 
5.1%
Other values (301) 6985
37.0%
Uppercase Letter
ValueCountFrequency (%)
T 25
26.6%
K 24
25.5%
B 13
13.8%
S 10
 
10.6%
O 6
 
6.4%
D 3
 
3.2%
H 2
 
2.1%
I 2
 
2.1%
A 2
 
2.1%
C 2
 
2.1%
Other values (5) 5
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 6307
99.5%
, 22
 
0.3%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5401
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18869
61.2%
Common 11861
38.5%
Latin 97
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1577
 
8.4%
부 1532
 
8.1%
동 1317
 
7.0%
광 1113
 
5.9%
시 1097
 
5.8%
호 1090
 
5.8%
구 1090
 
5.8%
역 1082
 
5.7%
지 1022
 
5.4%
번 964
 
5.1%
Other values (301) 6985
37.0%
Latin
ValueCountFrequency (%)
T 25
25.8%
K 24
24.7%
B 13
13.4%
S 10
 
10.3%
O 6
 
6.2%
e 3
 
3.1%
D 3
 
3.1%
H 2
 
2.1%
I 2
 
2.1%
A 2
 
2.1%
Other values (6) 7
 
7.2%
Common
ValueCountFrequency (%)
* 6307
53.2%
5401
45.5%
- 104
 
0.9%
, 22
 
0.2%
( 8
 
0.1%
) 8
 
0.1%
/ 7
 
0.1%
~ 3
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18869
61.2%
ASCII 11958
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6307
52.7%
5401
45.2%
- 104
 
0.9%
T 25
 
0.2%
K 24
 
0.2%
, 22
 
0.2%
B 13
 
0.1%
S 10
 
0.1%
( 8
 
0.1%
) 8
 
0.1%
Other values (15) 36
 
0.3%
Hangul
ValueCountFrequency (%)
산 1577
 
8.4%
부 1532
 
8.1%
동 1317
 
7.0%
광 1113
 
5.9%
시 1097
 
5.8%
호 1090
 
5.8%
구 1090
 
5.8%
역 1082
 
5.7%
지 1022
 
5.4%
번 964
 
5.1%
Other values (301) 6985
37.0%

도로명전체주소
Text

MISSING 

Distinct1057
Distinct (%)85.1%
Missing67
Missing (%)5.1%
Memory size10.4 KiB
2024-04-17T15:06:43.413993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length33.283414
Min length21

Characters and Unicode

Total characters41338
Distinct characters366
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

Unique925 ?
Unique (%)74.5%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
3rd row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
4th row부산광역시 중구 중앙대로 *** (중앙동*가)
5th row부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)
ValueCountFrequency (%)
1267
16.7%
부산광역시 1242
 
16.3%
층 485
 
6.4%
호 386
 
5.1%
부산진구 364
 
4.8%
중앙대로 245
 
3.2%
연제구 198
 
2.6%
해운대구 115
 
1.5%
연산동 103
 
1.4%
동래구 91
 
1.2%
Other values (1044) 3112
40.9%
2024-04-17T15:06:43.752767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6462
 
15.6%
6373
 
15.4%
산 1842
 
4.5%
부 1826
 
4.4%
동 1640
 
4.0%
, 1352
 
3.3%
시 1303
 
3.2%
광 1296
 
3.1%
구 1255
 
3.0%
역 1245
 
3.0%
Other values (356) 16744
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24399
59.0%
Other Punctuation 7821
 
18.9%
Space Separator 6373
 
15.4%
Open Punctuation 1235
 
3.0%
Close Punctuation 1235
 
3.0%
Uppercase Letter 132
 
0.3%
Dash Punctuation 130
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1842
 
7.5%
부 1826
 
7.5%
동 1640
 
6.7%
시 1303
 
5.3%
광 1296
 
5.3%
구 1255
 
5.1%
역 1245
 
5.1%
로 1244
 
5.1%
대 723
 
3.0%
층 613
 
2.5%
Other values (329) 11412
46.8%
Uppercase Letter
ValueCountFrequency (%)
T 37
28.0%
K 37
28.0%
B 13
 
9.8%
S 8
 
6.1%
O 6
 
4.5%
C 5
 
3.8%
A 5
 
3.8%
I 3
 
2.3%
V 3
 
2.3%
E 3
 
2.3%
Other values (6) 12
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 6462
82.6%
, 1352
 
17.3%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
t 2
 
22.2%
k 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6373
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24399
59.0%
Common 16798
40.6%
Latin 141
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1842
 
7.5%
부 1826
 
7.5%
동 1640
 
6.7%
시 1303
 
5.3%
광 1296
 
5.3%
구 1255
 
5.1%
역 1245
 
5.1%
로 1244
 
5.1%
대 723
 
3.0%
층 613
 
2.5%
Other values (329) 11412
46.8%
Latin
ValueCountFrequency (%)
T 37
26.2%
K 37
26.2%
B 13
 
9.2%
S 8
 
5.7%
O 6
 
4.3%
C 5
 
3.5%
e 5
 
3.5%
A 5
 
3.5%
I 3
 
2.1%
V 3
 
2.1%
Other values (9) 19
13.5%
Common
ValueCountFrequency (%)
* 6462
38.5%
6373
37.9%
, 1352
 
8.0%
( 1235
 
7.4%
) 1235
 
7.4%
- 130
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24399
59.0%
ASCII 16939
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6462
38.1%
6373
37.6%
, 1352
 
8.0%
( 1235
 
7.3%
) 1235
 
7.3%
- 130
 
0.8%
T 37
 
0.2%
K 37
 
0.2%
B 13
 
0.1%
S 8
 
< 0.1%
Other values (17) 57
 
0.3%
Hangul
ValueCountFrequency (%)
산 1842
 
7.5%
부 1826
 
7.5%
동 1640
 
6.7%
시 1303
 
5.3%
광 1296
 
5.3%
구 1255
 
5.1%
역 1245
 
5.1%
로 1244
 
5.1%
대 723
 
3.0%
층 613
 
2.5%
Other values (329) 11412
46.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct387
Distinct (%)58.0%
Missing642
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean309880.01
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:43.873220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46280.7
Q147534.5
median48746
Q3612021.5
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)564487

Descriptive statistics

Standard deviation281730.61
Coefficient of variation (CV)0.90916034
Kurtosis-1.9854005
Mean309880.01
Median Absolute Deviation (MAD)2495
Skewness0.14189504
Sum2.0668996 × 108
Variance7.9372137 × 1010
MonotonicityNot monotonic
2024-04-17T15:06:43.979923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 21
 
1.6%
614853 18
 
1.4%
611839 17
 
1.3%
47596 10
 
0.8%
47257 8
 
0.6%
611820 6
 
0.5%
614776 6
 
0.5%
614843 6
 
0.5%
614870 6
 
0.5%
46569 6
 
0.5%
Other values (377) 563
43.0%
(Missing) 642
49.0%
ValueCountFrequency (%)
46008 1
0.1%
46009 1
0.1%
46019 1
0.1%
46021 1
0.1%
46033 1
0.1%
46036 2
0.2%
46040 1
0.1%
46060 1
0.1%
46066 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

Distinct1252
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2024-04-17T15:06:44.193457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.7601222
Min length1

Characters and Unicode

Total characters10158
Distinct characters499
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

Unique1200 ?
Unique (%)91.7%

Sample

1st row코어(CORE)
2nd row(주)두성크리에이터
3rd row(주)야마야푸즈서비스
4th row(주)텔라이브
5th row한국사진기자협회 영남지사
ValueCountFrequency (%)
주식회사 188
 
11.3%
주 12
 
0.7%
대부중개 5
 
0.3%
부산지점 5
 
0.3%
주)티브로드 5
 
0.3%
농업회사법인 4
 
0.2%
유한회사 4
 
0.2%
모바일 4
 
0.2%
주)대영씨엔아이 3
 
0.2%
명성 3
 
0.2%
Other values (1340) 1429
86.0%
2024-04-17T15:06:44.535193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 692
 
6.8%
( 523
 
5.1%
) 523
 
5.1%
356
 
3.5%
이 315
 
3.1%
사 265
 
2.6%
스 255
 
2.5%
회 237
 
2.3%
식 214
 
2.1%
신 164
 
1.6%
Other values (489) 6614
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8309
81.8%
Open Punctuation 523
 
5.1%
Close Punctuation 523
 
5.1%
Space Separator 356
 
3.5%
Uppercase Letter 259
 
2.5%
Lowercase Letter 104
 
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 692
 
8.3%
이 315
 
3.8%
사 265
 
3.2%
스 255
 
3.1%
회 237
 
2.9%
식 214
 
2.6%
신 164
 
2.0%
통 161
 
1.9%
부 136
 
1.6%
정 132
 
1.6%
Other values (427) 5738
69.1%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.5%
M 21
 
8.1%
T 17
 
6.6%
C 17
 
6.6%
A 15
 
5.8%
K 15
 
5.8%
I 14
 
5.4%
L 13
 
5.0%
N 13
 
5.0%
B 13
 
5.0%
Other values (16) 99
38.2%
Lowercase Letter
ValueCountFrequency (%)
o 16
15.4%
i 12
11.5%
n 11
10.6%
e 9
8.7%
s 8
 
7.7%
t 7
 
6.7%
d 6
 
5.8%
l 5
 
4.8%
u 5
 
4.8%
c 5
 
4.8%
Other values (11) 20
19.2%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
0 4
19.0%
2 3
 
14.3%
4 2
 
9.5%
7 2
 
9.5%
5 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 523
100.0%
Close Punctuation
ValueCountFrequency (%)
) 523
100.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8321
81.9%
Common 1474
 
14.5%
Latin 363
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 692
 
8.3%
이 315
 
3.8%
사 265
 
3.2%
스 255
 
3.1%
회 237
 
2.8%
식 214
 
2.6%
신 164
 
2.0%
통 161
 
1.9%
부 136
 
1.6%
정 132
 
1.6%
Other values (428) 5750
69.1%
Latin
ValueCountFrequency (%)
S 22
 
6.1%
M 21
 
5.8%
T 17
 
4.7%
C 17
 
4.7%
o 16
 
4.4%
A 15
 
4.1%
K 15
 
4.1%
I 14
 
3.9%
L 13
 
3.6%
N 13
 
3.6%
Other values (37) 200
55.1%
Common
ValueCountFrequency (%)
( 523
35.5%
) 523
35.5%
356
24.2%
. 24
 
1.6%
& 20
 
1.4%
1 8
 
0.5%
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 8309
81.8%
ASCII 1837
 
18.1%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 692
 
8.3%
이 315
 
3.8%
사 265
 
3.2%
스 255
 
3.1%
회 237
 
2.9%
식 214
 
2.6%
신 164
 
2.0%
통 161
 
1.9%
부 136
 
1.6%
정 132
 
1.6%
Other values (427) 5738
69.1%
ASCII
ValueCountFrequency (%)
( 523
28.5%
) 523
28.5%
356
19.4%
. 24
 
1.3%
S 22
 
1.2%
M 21
 
1.1%
& 20
 
1.1%
T 17
 
0.9%
C 17
 
0.9%
o 16
 
0.9%
Other values (51) 298
16.2%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0143777 × 1013
Minimum2.0070731 × 1013
Maximum2.0220921 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:44.659308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080826 × 1013
Q12.0110413 × 1013
median2.0140902 × 1013
Q32.0171106 × 1013
95-th percentile2.0211215 × 1013
Maximum2.0220921 × 1013
Range1.5019 × 1011
Interquartile range (IQR)6.0692936 × 1010

Descriptive statistics

Standard deviation4.1101775 × 1010
Coefficient of variation (CV)0.0020404204
Kurtosis-0.97123595
Mean2.0143777 × 1013
Median Absolute Deviation (MAD)3.0277979 × 1010
Skewness0.1566173
Sum2.6368204 × 1016
Variance1.6893559 × 1021
MonotonicityNot monotonic
2024-04-17T15:06:44.790494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20100525104145 1
 
0.1%
20210108092705 1
 
0.1%
20161126121252 1
 
0.1%
20200406102034 1
 
0.1%
20160616134856 1
 
0.1%
20191008094111 1
 
0.1%
20190620173621 1
 
0.1%
20220218104057 1
 
0.1%
20211220165336 1
 
0.1%
Other values (1299) 1299
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 (%)
20220921142858 1
0.1%
20220921142625 1
0.1%
20220921142536 1
0.1%
20220913105713 1
0.1%
20220825162838 1
0.1%
20220802140905 1
0.1%
20220801162640 1
0.1%
20220729162530 1
0.1%
20220728152113 1
0.1%
20220727162930 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
I
1129 
U
180 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1129
86.2%
U 180
 
13.8%

Length

2024-04-17T15:06:44.905590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:44.985614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1129
86.2%
u 180
 
13.8%

데이터갱신일자
Date

Distinct239
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-23 00:22:25
2024-04-17T15:06:45.089951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:06:45.201484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1309
Missing (%)100.0%
Memory size11.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct825
Distinct (%)65.5%
Missing49
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean388723.2
Minimum373571.48
Maximum407471.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:45.309099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile380971.5
Q1387474.44
median388649.95
Q3390161.55
95-th percentile395436.17
Maximum407471.57
Range33900.093
Interquartile range (IQR)2687.1044

Descriptive statistics

Standard deviation4088.8747
Coefficient of variation (CV)0.010518731
Kurtosis2.9339784
Mean388723.2
Median Absolute Deviation (MAD)1295.3661
Skewness0.26095479
Sum4.8979123 × 108
Variance16718897
MonotonicityNot monotonic
2024-04-17T15:06:45.436521image/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 16
 
1.2%
387993.482649182 12
 
0.9%
387630.58080969 11
 
0.8%
388798.742326259 8
 
0.6%
392859.978697383 8
 
0.6%
393790.344709358 8
 
0.6%
389763.458430383 7
 
0.5%
387469.584540928 7
 
0.5%
Other values (815) 1141
87.2%
(Missing) 49
 
3.7%
ValueCountFrequency (%)
373571.480941768 1
0.1%
373988.512838888 2
0.2%
374147.216821175 1
0.1%
374253.112340712 1
0.1%
376599.300709847 1
0.1%
376897.678872923 1
0.1%
377141.990630466 1
0.1%
377197.758646406 2
0.2%
377465.924295 1
0.1%
377614.488355375 1
0.1%
ValueCountFrequency (%)
407471.573767313 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%
401645.83714284 1
0.1%
401447.637635904 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct824
Distinct (%)65.4%
Missing49
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean187850.82
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:45.562276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180594.48
Q1185541.97
median187658.4
Q3189714.55
95-th percentile195828.72
Maximum206343.36
Range31416.7
Interquartile range (IQR)4172.5817

Descriptive statistics

Standard deviation4357.4498
Coefficient of variation (CV)0.023196331
Kurtosis1.8983619
Mean187850.82
Median Absolute Deviation (MAD)2071.1109
Skewness0.57890244
Sum2.3669203 × 108
Variance18987369
MonotonicityNot monotonic
2024-04-17T15:06:45.671546image/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 16
 
1.2%
186876.485393314 12
 
0.9%
186409.994828231 11
 
0.8%
188235.889521484 8
 
0.6%
188328.743910701 8
 
0.6%
187523.604270761 8
 
0.6%
186406.750870936 7
 
0.5%
186168.671007785 7
 
0.5%
Other values (814) 1141
87.2%
(Missing) 49
 
3.7%
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%
176697.577167316 1
 
0.1%
176893.324496578 1
 
0.1%
177436.655876843 1
 
0.1%
177507.608774077 1
 
0.1%
177623.034608355 3
0.2%
ValueCountFrequency (%)
206343.359052 1
0.1%
206281.265893726 1
0.1%
206018.426741087 1
0.1%
205474.84417131 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%
201767.462806162 1
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct302
Distinct (%)40.0%
Missing554
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean8.6686278 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros107
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:45.794458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114373558
median50000000
Q32.9643926 × 108
95-th percentile4.7076343 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.820657 × 108

Descriptive statistics

Standard deviation2.1266233 × 1012
Coefficient of variation (CV)24.53241
Kurtosis746.3115
Mean8.6686278 × 1010
Median Absolute Deviation (MAD)50000000
Skewness27.250482
Sum6.544814 × 1013
Variance4.5225266 × 1024
MonotonicityNot monotonic
2024-04-17T15:06:45.916707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 153
 
11.7%
0 107
 
8.2%
10000000 47
 
3.6%
100000000 36
 
2.8%
30000000 27
 
2.1%
20000000 25
 
1.9%
150000000 16
 
1.2%
300000000 9
 
0.7%
1000000 9
 
0.7%
200000000 8
 
0.6%
Other values (292) 318
24.3%
(Missing) 554
42.3%
ValueCountFrequency (%)
0 107
8.2%
50000 1
 
0.1%
199560 1
 
0.1%
300000 1
 
0.1%
1000000 9
 
0.7%
1743948 1
 
0.1%
2000000 2
 
0.2%
2968387 1
 
0.1%
3000000 2
 
0.2%
4195000 1
 
0.1%
ValueCountFrequency (%)
58274736121400 1
0.1%
4287171590435 1
0.1%
813483880000 1
0.1%
771591249407 1
0.1%
154739323959 1
0.1%
120453636000 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 

Distinct266
Distinct (%)35.4%
Missing557
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean7.7408271 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros452
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:46.031648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.1853778 × 108
95-th percentile3.426177 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.1853778 × 108

Descriptive statistics

Standard deviation1.9382465 × 1012
Coefficient of variation (CV)25.039269
Kurtosis744.15177
Mean7.7408271 × 1010
Median Absolute Deviation (MAD)0
Skewness27.217403
Sum5.821102 × 1013
Variance3.7567995 × 1024
MonotonicityNot monotonic
2024-04-17T15:06:46.147350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 452
34.5%
100000000 9
 
0.7%
30000000 7
 
0.5%
20000000 6
 
0.5%
50000000 6
 
0.5%
80000000 4
 
0.3%
10000000 4
 
0.3%
274000000 2
 
0.2%
238797924 2
 
0.2%
55000000 2
 
0.2%
Other values (256) 258
19.7%
(Missing) 557
42.6%
ValueCountFrequency (%)
0 452
34.5%
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%
72002593000 1
0.1%
71755142536 1
0.1%
31483064051 1
0.1%
30070787337 1
0.1%
26762674200 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct151
Distinct (%)20.1%
Missing556
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean8.764316 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros67
Zeros (%)5.1%
Negative7
Negative (%)0.5%
Memory size11.6 KiB
2024-04-17T15:06:46.264460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q115000000
median50000000
Q31 × 108
95-th percentile1.02 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)85000000

Descriptive statistics

Standard deviation1.9352154 × 1011
Coefficient of variation (CV)22.080621
Kurtosis721.24484
Mean8.764316 × 109
Median Absolute Deviation (MAD)40000000
Skewness26.638182
Sum6.5995299 × 1012
Variance3.7450586 × 1022
MonotonicityNot monotonic
2024-04-17T15:06:46.384805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 241
18.4%
10000000 67
 
5.1%
0 67
 
5.1%
100000000 53
 
4.0%
150000000 39
 
3.0%
30000000 30
 
2.3%
20000000 26
 
2.0%
300000000 19
 
1.5%
1000000 14
 
1.1%
5000000 11
 
0.8%
Other values (141) 186
 
14.2%
(Missing) 556
42.5%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-58087972 1
 
0.1%
-42713664 1
 
0.1%
-30721315 1
 
0.1%
-20089024 1
 
0.1%
-7981168 1
 
0.1%
0 67
5.1%
10000 1
 
0.1%
50000 2
 
0.2%
ValueCountFrequency (%)
5255015225254 1
0.1%
741481320000 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%
15261799400 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1309
Missing (%)100.0%
Memory size11.6 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1309
Missing (%)100.0%
Memory size11.6 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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>
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67전화권유판매업08_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>
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89전화권유판매업08_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>
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번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12991300전화권유판매업08_26_03_P3400000201534000722420000120150817<NA>3폐업3폐업처리20181113<NA><NA><NA>051-728-3019<NA><NA>부산광역시 기장군 정관읍 달산리 ****번지 정관신도시 엘에이치 *단지부산광역시 기장군 정관읍 산단*로 ***, ***동 ***호 (정관신도시 엘에이치 *단지)46021엠(M)2 글로벌20181113164151U2018-11-15 02:36:16.0<NA>399332.52145204619.86373<NA><NA><NA><NA><NA>
13001301전화권유판매업08_26_03_P3400000201634000722420000120160411<NA>3폐업3폐업처리20160527<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 용궁길 **-*46084해동용궁수산20160527102826I2018-08-31 23:59:59.0<NA>402225.504545190035.931799<NA><NA><NA><NA><NA>
13011302전화권유판매업08_26_03_P3400000201734000722420000220160607<NA>3폐업3폐업처리20170607<NA><NA><NA>051-717-2371<NA><NA><NA>부산광역시 기장군 장안읍 장곡길 ***, ***동 ***호 (보경아트VILL)46033주식회사 오성피앤씨20170619155419I2018-08-31 23:59:59.0<NA>403804.630703203492.65200410000000010000000<NA><NA>
13021303전화권유판매업08_26_03_P3400000201734001092420000120160629<NA>3폐업3폐업처리20171103<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 정관*로 **, ***동 ****호 (정관신도시현진에버빌)46009알뜰모바일20171103101034I2018-08-31 23:59:59.0<NA>397254.273652206343.359052<NA><NA><NA><NA><NA>
13031304전화권유판매업08_26_03_P3400000201834001092420000120180314<NA>3폐업3폐업처리20211122<NA><NA><NA>070-8179-2000<NA><NA>부산광역시 기장군 일광면 신평리 **번지 칠암마을회관부산광역시 기장군 일광면 문오성길 ***-*, 칠암마을회관46040주식회사 오토기술20211124200644U2021-11-26 02:40:00.0<NA>405522.611787202095.8007300150000000<NA><NA>
13041305전화권유판매업08_26_03_P3400000200834000442420000120080826<NA>3폐업3폐업처리20141105<NA><NA><NA>051-747-4300<NA>619951부산광역시 기장군 장안읍 월내리 **번지 **호부산광역시 기장군 장안읍 월내해안길 **<NA>(주) 네스아이20141105134922I2018-08-31 23:59:59.0<NA>407224.154717205403.74332133199734192932326239074015<NA><NA>
13051306전화권유판매업08_26_03_P3400000200834000442420000220080826<NA>3폐업3폐업처리20141104<NA><NA><NA>051-817-0555<NA>619903부산광역시 기장군 기장읍 대라리 ***번지 *호부산광역시 기장군 기장읍 차성로 ***<NA>(주) 제일아이엔씨20141105105652I2018-08-31 23:59:59.0<NA>401374.625613195838.533577507057337164654698160000000<NA><NA>
13061307전화권유판매업08_26_03_P3400000201234000442420000620120612<NA>3폐업3폐업처리20140804<NA><NA><NA>051-723-2126<NA><NA><NA>부산광역시 기장군 기장읍 당사로*길 *619902MY LG 070 서비스20140804155241I2018-08-31 23:59:59.0<NA>401199.217214189625.15978800<NA><NA><NA>
13071308전화권유판매업08_26_03_P3400000202134001092420000320210422<NA>3폐업3폐업처리20220502<NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 방곡리 *** 이지더원*차부산광역시 기장군 정관읍 방곡로 **, ***동 ***호 (이지더원*차)46019엠엔엠20220729162530U2022-07-31 02:40:00.0<NA>398918.600051205331.700589000<NA><NA>
13081309전화권유판매업08_26_03_P3400000202134001092420000220210120<NA>3폐업3폐업처리20211025<NA><NA><NA>051-702-1017<NA><NA>부산광역시 기장군 기장읍 동부리 ***-**부산광역시 기장군 기장읍 차성로***번길 **, *층46060주식회사 에이치씨글로벌20211025170713U2021-10-27 02:40:00.0<NA>401272.723638196533.32244730000000030000000<NA><NA>