Overview

Dataset statistics

Number of variables33
Number of observations1295
Missing cells12609
Missing cells (%)29.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory363.1 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2022-05-01
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 (98.4%)Imbalance
인허가취소일자 has 1239 (95.7%) missing valuesMissing
폐업일자 has 263 (20.3%) missing valuesMissing
휴업시작일자 has 1277 (98.6%) missing valuesMissing
휴업종료일자 has 1277 (98.6%) missing valuesMissing
소재지전화 has 191 (14.7%) missing valuesMissing
소재지면적 has 1295 (100.0%) missing valuesMissing
소재지우편번호 has 473 (36.5%) missing valuesMissing
소재지전체주소 has 231 (17.8%) missing valuesMissing
도로명전체주소 has 67 (5.2%) missing valuesMissing
도로명우편번호 has 642 (49.6%) missing valuesMissing
업태구분명 has 1295 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.7%) missing valuesMissing
좌표정보(y) has 48 (3.7%) missing valuesMissing
자산규모 has 556 (42.9%) missing valuesMissing
부채총액 has 559 (43.2%) missing valuesMissing
자본금 has 558 (43.1%) missing valuesMissing
판매방식명 has 1295 (100.0%) missing valuesMissing
Unnamed: 32 has 1295 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 26.9601854)Skewed
부채총액 is highly skewed (γ1 = 26.92628908)Skewed
자본금 is highly skewed (γ1 = 26.35390045)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 92 (7.1%) zerosZeros
부채총액 has 437 (33.7%) zerosZeros
자본금 has 51 (3.9%) zerosZeros

Reproduction

Analysis started2024-04-17 06:07:29.020717
Analysis finished2024-04-17 06:07:29.988410
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1295
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean648
Minimum1
Maximum1295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:30.045573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65.7
Q1324.5
median648
Q3971.5
95-th percentile1230.3
Maximum1295
Range1294
Interquartile range (IQR)647

Descriptive statistics

Standard deviation373.97861
Coefficient of variation (CV)0.57712748
Kurtosis-1.2
Mean648
Median Absolute Deviation (MAD)324
Skewness0
Sum839160
Variance139860
MonotonicityStrictly increasing
2024-04-17T15:07:30.168669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
852 1
 
0.1%
870 1
 
0.1%
869 1
 
0.1%
868 1
 
0.1%
867 1
 
0.1%
866 1
 
0.1%
865 1
 
0.1%
864 1
 
0.1%
863 1
 
0.1%
Other values (1285) 1285
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 (%)
1295 1
0.1%
1294 1
0.1%
1293 1
0.1%
1292 1
0.1%
1291 1
0.1%
1290 1
0.1%
1289 1
0.1%
1288 1
0.1%
1287 1
0.1%
1286 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
전화권유판매업
1295 

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 1295
100.0%

Length

2024-04-17T15:07:30.299785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:30.388499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1295
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
08_26_03_P
1295 

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 1295
100.0%

Length

2024-04-17T15:07:30.477701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:30.558019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1295
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322849.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:30.643529image/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 deviation39394.427
Coefficient of variation (CV)0.011855616
Kurtosis-1.2161859
Mean3322849.4
Median Absolute Deviation (MAD)20000
Skewness0.25973876
Sum4.30309 × 109
Variance1.5519209 × 109
MonotonicityIncreasing
2024-04-17T15:07:30.750786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 372
28.7%
3370000 198
15.3%
3330000 121
 
9.3%
3300000 107
 
8.3%
3350000 91
 
7.0%
3270000 87
 
6.7%
3380000 73
 
5.6%
3390000 46
 
3.6%
3310000 45
 
3.5%
3320000 41
 
3.2%
Other values (6) 114
 
8.8%
ValueCountFrequency (%)
3250000 27
 
2.1%
3260000 7
 
0.5%
3270000 87
 
6.7%
3280000 8
 
0.6%
3290000 372
28.7%
3300000 107
 
8.3%
3310000 45
 
3.5%
3320000 41
 
3.2%
3330000 121
 
9.3%
3340000 37
 
2.9%
ValueCountFrequency (%)
3400000 21
 
1.6%
3390000 46
 
3.6%
3380000 73
 
5.6%
3370000 198
15.3%
3360000 14
 
1.1%
3350000 91
7.0%
3340000 37
 
2.9%
3330000 121
9.3%
3320000 41
 
3.2%
3310000 45
 
3.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1295
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0120558 × 1018
Minimum2.002329 × 1018
Maximum2.022335 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:30.868698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.0063264 × 1018
Q12.00833 × 1018
median2.011329 × 1018
Q32.01533 × 1018
95-th percentile2.020336 × 1018
Maximum2.022335 × 1018
Range2.0006005 × 1016
Interquartile range (IQR)7.0000015 × 1015

Descriptive statistics

Standard deviation4.4921219 × 1015
Coefficient of variation (CV)0.002232603
Kurtosis-0.69879506
Mean2.0120558 × 1018
Median Absolute Deviation (MAD)3.0040018 × 1015
Skewness0.48604516
Sum4.6214057 × 1018
Variance2.0179159 × 1031
MonotonicityNot monotonic
2024-04-17T15:07:31.016771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2016334008024200001 1
 
0.1%
2021335011224200002 1
 
0.1%
2012335008524200003 1
 
0.1%
2017335010024200006 1
 
0.1%
2017335010024200005 1
 
0.1%
2015335010024200001 1
 
0.1%
2012335008524200008 1
 
0.1%
2016335010024200004 1
 
0.1%
2020335011224200004 1
 
0.1%
Other values (1285) 1285
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 (%)
2022335013524200001 1
0.1%
2022333015124200004 1
0.1%
2022333015124200003 1
0.1%
2022333015124200002 1
0.1%
2022333015124200001 1
0.1%
2022331011924200003 1
0.1%
2022331011924200002 1
0.1%
2022331011924200001 1
0.1%
2022329014424200002 1
0.1%
2022329014424200001 1
0.1%

인허가일자
Real number (ℝ)

Distinct1022
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113861
Minimum20020820
Maximum20220324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:31.161084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050919
Q120080416
median20110209
Q320150107
95-th percentile20200549
Maximum20220324
Range199504
Interquartile range (IQR)69691

Descriptive statistics

Standard deviation45572.859
Coefficient of variation (CV)0.002265744
Kurtosis-0.62513486
Mean20113861
Median Absolute Deviation (MAD)30214
Skewness0.47569429
Sum2.6047449 × 1010
Variance2.0768854 × 109
MonotonicityNot monotonic
2024-04-17T15:07:31.288378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080826 8
 
0.6%
20080527 8
 
0.6%
20080526 6
 
0.5%
20150304 5
 
0.4%
20120106 5
 
0.4%
20161013 5
 
0.4%
20090615 4
 
0.3%
20070528 4
 
0.3%
20090427 4
 
0.3%
20080320 4
 
0.3%
Other values (1012) 1242
95.9%
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 (%)
20220324 1
0.1%
20220323 1
0.1%
20220302 1
0.1%
20220228 1
0.1%
20220214 1
0.1%
20220207 2
0.2%
20220121 1
0.1%
20220114 1
0.1%
20211220 1
0.1%
20211124 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1239
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:31.399461image/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
2024-04-17T15:07:31.493095image/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) 1239
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 size10.2 KiB
3
635 
4
453 
1
193 
2
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 635
49.0%
4 453
35.0%
1 193
 
14.9%
2 14
 
1.1%

Length

2024-04-17T15:07:31.597814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:31.690577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 635
49.0%
4 453
35.0%
1 193
 
14.9%
2 14
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업
635 
취소/말소/만료/정지/중지
453 
영업/정상
193 
휴업
 
14

Length

Max length14
Median length2
Mean length6.6447876
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 635
49.0%
취소/말소/만료/정지/중지 453
35.0%
영업/정상 193
 
14.9%
휴업 14
 
1.1%

Length

2024-04-17T15:07:31.793819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:31.886812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 635
49.0%
취소/말소/만료/정지/중지 453
35.0%
영업/정상 193
 
14.9%
휴업 14
 
1.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3
635 
7
394 
1
193 
4
 
59
2
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 635
49.0%
7 394
30.4%
1 193
 
14.9%
4 59
 
4.6%
2 14
 
1.1%

Length

2024-04-17T15:07:32.000538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:32.117600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 635
49.0%
7 394
30.4%
1 193
 
14.9%
4 59
 
4.6%
2 14
 
1.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업처리
635 
직권말소
394 
정상영업
193 
직권취소
 
59
휴업처리
 
14

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 635
49.0%
직권말소 394
30.4%
정상영업 193
 
14.9%
직권취소 59
 
4.6%
휴업처리 14
 
1.1%

Length

2024-04-17T15:07:32.221888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:32.329287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 635
49.0%
직권말소 394
30.4%
정상영업 193
 
14.9%
직권취소 59
 
4.6%
휴업처리 14
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct638
Distinct (%)61.8%
Missing263
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean20131887
Minimum20070604
Maximum20220322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:32.436539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080521
Q120100585
median20130827
Q320160422
95-th percentile20191219
Maximum20220322
Range149718
Interquartile range (IQR)59837.25

Descriptive statistics

Standard deviation35715.808
Coefficient of variation (CV)0.0017740914
Kurtosis-0.74305321
Mean20131887
Median Absolute Deviation (MAD)29900
Skewness0.26782785
Sum2.0776108 × 1010
Variance1.275619 × 109
MonotonicityNot monotonic
2024-04-17T15:07:32.557681image/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%
20100514 9
 
0.7%
20160201 9
 
0.7%
20130827 9
 
0.7%
Other values (628) 917
70.8%
(Missing) 263
 
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 (%)
20220322 1
0.1%
20220318 1
0.1%
20220301 1
0.1%
20220226 1
0.1%
20220211 1
0.1%
20220128 1
0.1%
20220107 2
0.2%
20211208 1
0.1%
20211125 1
0.1%
20211122 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing1277
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20173503
Minimum20090226
Maximum20220222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:32.674131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090226
5-th percentile20099488
Q120163395
median20180771
Q320197880
95-th percentile20220218
Maximum20220222
Range129996
Interquartile range (IQR)34485

Descriptive statistics

Standard deviation37779.497
Coefficient of variation (CV)0.0018727287
Kurtosis0.29829025
Mean20173503
Median Absolute Deviation (MAD)19642
Skewness-0.98114642
Sum3.6312305 × 108
Variance1.4272904 × 109
MonotonicityNot monotonic
2024-04-17T15:07:32.781167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20201231 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%
20200103 1
 
0.1%
Other values (8) 8
 
0.6%
(Missing) 1277
98.6%
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%
20211203 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%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)88.9%
Missing1277
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20185864
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:32.889053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090630
5-th percentile20107537
Q120166056
median20191080
Q320221128
95-th percentile20232048
Maximum20241231
Range150601
Interquartile range (IQR)55071.5

Descriptive statistics

Standard deviation42635.513
Coefficient of variation (CV)0.0021121471
Kurtosis0.071234605
Mean20185864
Median Absolute Deviation (MAD)30000
Skewness-0.85033727
Sum3.6334555 × 108
Variance1.817787 × 109
MonotonicityNot monotonic
2024-04-17T15:07:32.991644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20191231 2
 
0.2%
20221231 2
 
0.2%
20181121 1
 
0.1%
20190930 1
 
0.1%
20090630 1
 
0.1%
20161231 1
 
0.1%
20220817 1
 
0.1%
20190511 1
 
0.1%
20241231 1
 
0.1%
20210630 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1277
98.6%
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 2
0.2%
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 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1291 
20060126
 
1
20100217
 
1
20200312
 
1
20090724
 
1

Length

Max length8
Median length4
Mean length4.0123552
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> 1291
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:07:33.126026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:33.243476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1291
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1028
Distinct (%)93.1%
Missing191
Missing (%)14.7%
Memory size10.2 KiB
2024-04-17T15:07:33.443303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.907609
Min length1

Characters and Unicode

Total characters12042
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

Unique960 ?
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%
861 4
 
0.3%
868 4
 
0.3%
465 4
 
0.3%
906 4
 
0.3%
517 4
 
0.3%
851 4
 
0.3%
Other values (1072) 1163
89.5%
2024-04-17T15:07:33.778487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2177
18.1%
1 1608
13.4%
- 1599
13.3%
5 1526
12.7%
8 854
 
7.1%
7 825
 
6.9%
6 782
 
6.5%
9 642
 
5.3%
4 623
 
5.2%
3 622
 
5.2%
Other values (6) 784
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10230
85.0%
Dash Punctuation 1599
 
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 2177
21.3%
1 1608
15.7%
5 1526
14.9%
8 854
 
8.3%
7 825
 
8.1%
6 782
 
7.6%
9 642
 
6.3%
4 623
 
6.1%
3 622
 
6.1%
2 571
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1599
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 12042
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2177
18.1%
1 1608
13.4%
- 1599
13.3%
5 1526
12.7%
8 854
 
7.1%
7 825
 
6.9%
6 782
 
6.5%
9 642
 
5.3%
4 623
 
5.2%
3 622
 
5.2%
Other values (6) 784
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2177
18.1%
1 1608
13.4%
- 1599
13.3%
5 1526
12.7%
8 854
 
7.1%
7 825
 
6.9%
6 782
 
6.5%
9 642
 
5.3%
4 623
 
5.2%
3 622
 
5.2%
Other values (6) 784
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1295
Missing (%)100.0%
Memory size11.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing473
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:33.912732image/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
2024-04-17T15:07:34.049259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614050 45
 
3.5%
614030 42
 
3.2%
607060 26
 
2.0%
614040 26
 
2.0%
612020 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
43.8%
(Missing) 473
36.5%
ValueCountFrequency (%)
600012 1
 
0.1%
600074 1
 
0.1%
600110 1
 
0.1%
600714 1
 
0.1%
600717 1
 
0.1%
600721 1
 
0.1%
600723 2
 
0.2%
600802 1
 
0.1%
600815 1
 
0.1%
600816 8
0.6%
ValueCountFrequency (%)
619952 1
 
0.1%
619951 1
 
0.1%
619905 1
 
0.1%
619903 2
0.2%
619902 1
 
0.1%
618806 2
0.2%
617844 3
0.2%
617841 1
 
0.1%
617838 1
 
0.1%
617837 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct806
Distinct (%)75.8%
Missing231
Missing (%)17.8%
Memory size10.2 KiB
2024-04-17T15:07:34.307293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length28.656015
Min length12

Characters and Unicode

Total characters30490
Distinct characters337
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

Unique677 ?
Unique (%)63.6%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **-*
3rd row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
4th row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층
ValueCountFrequency (%)
호 1064
16.7%
부산광역시 1063
16.6%
번지 966
15.1%
층 339
 
5.3%
부산진구 294
 
4.6%
연제구 182
 
2.8%
연산동 125
 
2.0%
117
 
1.8%
동래구 92
 
1.4%
부전동 89
 
1.4%
Other values (614) 2056
32.2%
2024-04-17T15:07:34.775937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6226
20.4%
5347
17.5%
산 1559
 
5.1%
부 1511
 
5.0%
동 1296
 
4.3%
광 1098
 
3.6%
호 1089
 
3.6%
시 1082
 
3.5%
구 1076
 
3.5%
역 1067
 
3.5%
Other values (327) 9139
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18690
61.3%
Other Punctuation 6256
 
20.5%
Space Separator 5347
 
17.5%
Uppercase Letter 92
 
0.3%
Dash Punctuation 89
 
0.3%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1559
 
8.3%
부 1511
 
8.1%
동 1296
 
6.9%
광 1098
 
5.9%
호 1089
 
5.8%
시 1082
 
5.8%
구 1076
 
5.8%
역 1067
 
5.7%
지 1022
 
5.5%
번 967
 
5.2%
Other values (302) 6923
37.0%
Uppercase Letter
ValueCountFrequency (%)
T 24
26.1%
K 23
25.0%
B 13
14.1%
S 10
10.9%
O 6
 
6.5%
D 3
 
3.3%
A 2
 
2.2%
I 2
 
2.2%
C 2
 
2.2%
H 2
 
2.2%
Other values (5) 5
 
5.4%
Other Punctuation
ValueCountFrequency (%)
* 6226
99.5%
, 22
 
0.4%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18690
61.3%
Common 11705
38.4%
Latin 95
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1559
 
8.3%
부 1511
 
8.1%
동 1296
 
6.9%
광 1098
 
5.9%
호 1089
 
5.8%
시 1082
 
5.8%
구 1076
 
5.8%
역 1067
 
5.7%
지 1022
 
5.5%
번 967
 
5.2%
Other values (302) 6923
37.0%
Latin
ValueCountFrequency (%)
T 24
25.3%
K 23
24.2%
B 13
13.7%
S 10
10.5%
O 6
 
6.3%
e 3
 
3.2%
D 3
 
3.2%
A 2
 
2.1%
I 2
 
2.1%
C 2
 
2.1%
Other values (6) 7
 
7.4%
Common
ValueCountFrequency (%)
* 6226
53.2%
5347
45.7%
- 89
 
0.8%
, 22
 
0.2%
/ 7
 
0.1%
( 5
 
< 0.1%
) 5
 
< 0.1%
~ 3
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18690
61.3%
ASCII 11800
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6226
52.8%
5347
45.3%
- 89
 
0.8%
T 24
 
0.2%
K 23
 
0.2%
, 22
 
0.2%
B 13
 
0.1%
S 10
 
0.1%
/ 7
 
0.1%
O 6
 
0.1%
Other values (15) 33
 
0.3%
Hangul
ValueCountFrequency (%)
산 1559
 
8.3%
부 1511
 
8.1%
동 1296
 
6.9%
광 1098
 
5.9%
호 1089
 
5.8%
시 1082
 
5.8%
구 1076
 
5.8%
역 1067
 
5.7%
지 1022
 
5.5%
번 967
 
5.2%
Other values (302) 6923
37.0%

도로명전체주소
Text

MISSING 

Distinct1044
Distinct (%)85.0%
Missing67
Missing (%)5.2%
Memory size10.2 KiB
2024-04-17T15:07:35.036704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length33.264658
Min length21

Characters and Unicode

Total characters40849
Distinct characters367
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

Unique912 ?
Unique (%)74.3%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 충장대로*번길 **-*, *층 (중앙동*가)
3rd row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
4th row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
5th row부산광역시 중구 중앙대로 *** (중앙동*가)
ValueCountFrequency (%)
1256
16.7%
부산광역시 1228
16.3%
층 480
 
6.4%
호 375
 
5.0%
부산진구 360
 
4.8%
중앙대로 247
 
3.3%
연제구 197
 
2.6%
해운대구 114
 
1.5%
연산동 103
 
1.4%
금정구 89
 
1.2%
Other values (1034) 3066
40.8%
2024-04-17T15:07:36.041037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6366
 
15.6%
6294
 
15.4%
산 1822
 
4.5%
부 1805
 
4.4%
동 1616
 
4.0%
, 1339
 
3.3%
시 1288
 
3.2%
광 1282
 
3.1%
구 1240
 
3.0%
역 1231
 
3.0%
Other values (357) 16566
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24137
59.1%
Other Punctuation 7712
 
18.9%
Space Separator 6294
 
15.4%
Open Punctuation 1218
 
3.0%
Close Punctuation 1218
 
3.0%
Uppercase Letter 130
 
0.3%
Dash Punctuation 127
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1822
 
7.5%
부 1805
 
7.5%
동 1616
 
6.7%
시 1288
 
5.3%
광 1282
 
5.3%
구 1240
 
5.1%
역 1231
 
5.1%
로 1230
 
5.1%
대 719
 
3.0%
층 610
 
2.5%
Other values (330) 11294
46.8%
Uppercase Letter
ValueCountFrequency (%)
T 36
27.7%
K 36
27.7%
B 13
 
10.0%
S 8
 
6.2%
O 6
 
4.6%
A 5
 
3.8%
C 5
 
3.8%
W 3
 
2.3%
E 3
 
2.3%
I 3
 
2.3%
Other values (6) 12
 
9.2%
Other Punctuation
ValueCountFrequency (%)
* 6366
82.5%
, 1339
 
17.4%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
t 2
 
22.2%
k 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6294
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24137
59.1%
Common 16573
40.6%
Latin 139
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1822
 
7.5%
부 1805
 
7.5%
동 1616
 
6.7%
시 1288
 
5.3%
광 1282
 
5.3%
구 1240
 
5.1%
역 1231
 
5.1%
로 1230
 
5.1%
대 719
 
3.0%
층 610
 
2.5%
Other values (330) 11294
46.8%
Latin
ValueCountFrequency (%)
T 36
25.9%
K 36
25.9%
B 13
 
9.4%
S 8
 
5.8%
O 6
 
4.3%
A 5
 
3.6%
e 5
 
3.6%
C 5
 
3.6%
W 3
 
2.2%
E 3
 
2.2%
Other values (9) 19
13.7%
Common
ValueCountFrequency (%)
* 6366
38.4%
6294
38.0%
, 1339
 
8.1%
( 1218
 
7.3%
) 1218
 
7.3%
- 127
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24137
59.1%
ASCII 16712
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6366
38.1%
6294
37.7%
, 1339
 
8.0%
( 1218
 
7.3%
) 1218
 
7.3%
- 127
 
0.8%
T 36
 
0.2%
K 36
 
0.2%
B 13
 
0.1%
S 8
 
< 0.1%
Other values (17) 57
 
0.3%
Hangul
ValueCountFrequency (%)
산 1822
 
7.5%
부 1805
 
7.5%
동 1616
 
6.7%
시 1288
 
5.3%
광 1282
 
5.3%
구 1240
 
5.1%
역 1231
 
5.1%
로 1230
 
5.1%
대 719
 
3.0%
층 610
 
2.5%
Other values (330) 11294
46.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct379
Distinct (%)58.0%
Missing642
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean315497.8
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:36.224393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46275
Q147540
median48934
Q3612022
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)564482

Descriptive statistics

Standard deviation282082.51
Coefficient of variation (CV)0.89408709
Kurtosis-1.9953364
Mean315497.8
Median Absolute Deviation (MAD)2718
Skewness0.10173571
Sum2.0602006 × 108
Variance7.9570543 × 1010
MonotonicityNot monotonic
2024-04-17T15:07:36.423540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 20
 
1.5%
614853 18
 
1.4%
611839 17
 
1.3%
47596 10
 
0.8%
47257 8
 
0.6%
46569 6
 
0.5%
47541 6
 
0.5%
611820 6
 
0.5%
614776 6
 
0.5%
614870 6
 
0.5%
Other values (369) 550
42.5%
(Missing) 642
49.6%
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%
46067 1
0.1%
46070 1
0.1%
ValueCountFrequency (%)
619906 1
0.1%
619903 2
0.2%
619902 1
0.1%
617844 1
0.1%
617840 2
0.2%
617838 1
0.1%
617833 1
0.1%
617822 1
0.1%
617809 2
0.2%
617808 1
0.1%

사업장명
Text

Distinct1239
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-17T15:07:36.737696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.769112
Min length1

Characters and Unicode

Total characters10061
Distinct characters497
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

Unique1188 ?
Unique (%)91.7%

Sample

1st row코어(CORE)
2nd row(주) 탑아이티텔레콤
3rd row(주)두성크리에이터
4th row(주)야마야푸즈서비스
5th row(주)텔라이브
ValueCountFrequency (%)
주식회사 187
 
11.4%
주 12
 
0.7%
대부중개 5
 
0.3%
주)티브로드 5
 
0.3%
부산지점 5
 
0.3%
농업회사법인 4
 
0.2%
유한회사 4
 
0.2%
모바일 4
 
0.2%
농업회사법인(주 3
 
0.2%
동남방송 3
 
0.2%
Other values (1324) 1412
85.9%
2024-04-17T15:07:37.121880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 687
 
6.8%
( 520
 
5.2%
) 520
 
5.2%
352
 
3.5%
이 312
 
3.1%
사 262
 
2.6%
스 252
 
2.5%
회 236
 
2.3%
식 213
 
2.1%
신 162
 
1.6%
Other values (487) 6545
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8225
81.8%
Open Punctuation 520
 
5.2%
Close Punctuation 520
 
5.2%
Space Separator 352
 
3.5%
Uppercase Letter 255
 
2.5%
Lowercase Letter 104
 
1.0%
Other Punctuation 50
 
0.5%
Decimal Number 21
 
0.2%
Other Symbol 13
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 687
 
8.4%
이 312
 
3.8%
사 262
 
3.2%
스 252
 
3.1%
회 236
 
2.9%
식 213
 
2.6%
신 162
 
2.0%
통 161
 
2.0%
부 136
 
1.7%
정 132
 
1.6%
Other values (425) 5672
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.6%
M 20
 
7.8%
T 17
 
6.7%
C 17
 
6.7%
K 15
 
5.9%
I 14
 
5.5%
A 14
 
5.5%
L 13
 
5.1%
N 13
 
5.1%
B 13
 
5.1%
Other values (16) 97
38.0%
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%
c 5
 
4.8%
l 5
 
4.8%
u 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%
5 2
 
9.5%
7 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 520
100.0%
Space Separator
ValueCountFrequency (%)
352
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8238
81.9%
Common 1464
 
14.6%
Latin 359
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 687
 
8.3%
이 312
 
3.8%
사 262
 
3.2%
스 252
 
3.1%
회 236
 
2.9%
식 213
 
2.6%
신 162
 
2.0%
통 161
 
2.0%
부 136
 
1.7%
정 132
 
1.6%
Other values (426) 5685
69.0%
Latin
ValueCountFrequency (%)
S 22
 
6.1%
M 20
 
5.6%
T 17
 
4.7%
C 17
 
4.7%
o 16
 
4.5%
K 15
 
4.2%
I 14
 
3.9%
A 14
 
3.9%
L 13
 
3.6%
N 13
 
3.6%
Other values (37) 198
55.2%
Common
ValueCountFrequency (%)
( 520
35.5%
) 520
35.5%
352
24.0%
. 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 8225
81.8%
ASCII 1823
 
18.1%
None 13
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 687
 
8.4%
이 312
 
3.8%
사 262
 
3.2%
스 252
 
3.1%
회 236
 
2.9%
식 213
 
2.6%
신 162
 
2.0%
통 161
 
2.0%
부 136
 
1.7%
정 132
 
1.6%
Other values (425) 5672
69.0%
ASCII
ValueCountFrequency (%)
( 520
28.5%
) 520
28.5%
352
19.3%
. 24
 
1.3%
S 22
 
1.2%
M 20
 
1.1%
& 20
 
1.1%
T 17
 
0.9%
C 17
 
0.9%
o 16
 
0.9%
Other values (51) 295
16.2%
None
ValueCountFrequency (%)
㈜ 13
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1295
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0142615 × 1013
Minimum2.0070731 × 1013
Maximum2.0220327 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:37.256693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080825 × 1013
Q12.0110408 × 1013
median2.0140902 × 1013
Q32.0170905 × 1013
95-th percentile2.0210603 × 1013
Maximum2.0220327 × 1013
Range1.4959602 × 1011
Interquartile range (IQR)6.0497049 × 1010

Descriptive statistics

Standard deviation4.0018082 × 1010
Coefficient of variation (CV)0.0019867372
Kurtosis-0.99525768
Mean2.0142615 × 1013
Median Absolute Deviation (MAD)3.0214009 × 1010
Skewness0.11976862
Sum2.6084686 × 1016
Variance1.6014469 × 1021
MonotonicityNot monotonic
2024-04-17T15:07:37.379561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20170609114316 1
 
0.1%
20210108092705 1
 
0.1%
20161126121252 1
 
0.1%
20200406102034 1
 
0.1%
20210222181911 1
 
0.1%
20160616134856 1
 
0.1%
20191008094111 1
 
0.1%
20190620173621 1
 
0.1%
20201118170333 1
 
0.1%
Other values (1285) 1285
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 (%)
20220327165921 1
0.1%
20220324144450 1
0.1%
20220324133406 1
0.1%
20220323130146 1
0.1%
20220322173508 1
0.1%
20220318141828 1
0.1%
20220317175551 1
0.1%
20220303190819 1
0.1%
20220302162703 1
0.1%
20220228105602 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
I
1124 
U
171 

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 1124
86.8%
U 171
 
13.2%

Length

2024-04-17T15:07:37.505774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:37.591518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1124
86.8%
u 171
 
13.2%

데이터갱신일자
Date

Distinct228
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-03-29 02:40:00
2024-04-17T15:07:37.713871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:07:37.862582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1295
Missing (%)100.0%
Memory size11.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct813
Distinct (%)65.2%
Missing48
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean388737.81
Minimum373571.48
Maximum407471.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:37.983057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile380991.47
Q1387472.99
median388657.09
Q3390150.25
95-th percentile395476.39
Maximum407471.57
Range33900.093
Interquartile range (IQR)2677.2646

Descriptive statistics

Standard deviation4060.8285
Coefficient of variation (CV)0.010446189
Kurtosis2.9153283
Mean388737.81
Median Absolute Deviation (MAD)1287.7136
Skewness0.29802162
Sum4.8475605 × 108
Variance16490328
MonotonicityNot monotonic
2024-04-17T15:07:38.100345image/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%
392859.978697383 8
 
0.6%
388798.742326259 8
 
0.6%
393790.344709358 8
 
0.6%
387625.86797096 7
 
0.5%
395615.201853958 7
 
0.5%
Other values (803) 1128
87.1%
(Missing) 48
 
3.7%
ValueCountFrequency (%)
373571.480941768 1
0.1%
373988.512838888 2
0.2%
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 (%)
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%
401447.637635904 1
0.1%
401438.30823867 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct812
Distinct (%)65.1%
Missing48
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean187874.01
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:38.223047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180726.06
Q1185582.27
median187658.4
Q3189714.55
95-th percentile195838.53
Maximum206343.36
Range31416.7
Interquartile range (IQR)4132.2766

Descriptive statistics

Standard deviation4375.3321
Coefficient of variation (CV)0.02328865
Kurtosis1.9250809
Mean187874.01
Median Absolute Deviation (MAD)2067.6054
Skewness0.60888397
Sum2.3427889 × 108
Variance19143531
MonotonicityNot monotonic
2024-04-17T15:07:38.415553image/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%
187523.604270761 8
 
0.6%
188328.743910701 8
 
0.6%
188235.889521484 8
 
0.6%
186117.09883859 7
 
0.5%
186406.750870936 7
 
0.5%
Other values (802) 1128
87.1%
(Missing) 48
 
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 

Distinct300
Distinct (%)40.6%
Missing556
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean8.8537518 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros92
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:38.571738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median50000000
Q33 × 108
95-th percentile4.5969584 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.8 × 108

Descriptive statistics

Standard deviation2.1495147 × 1012
Coefficient of variation (CV)24.27801
Kurtosis730.49523
Mean8.8537518 × 1010
Median Absolute Deviation (MAD)50000000
Skewness26.960185
Sum6.5429226 × 1013
Variance4.6204135 × 1024
MonotonicityNot monotonic
2024-04-17T15:07:38.704268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 152
 
11.7%
0 92
 
7.1%
10000000 49
 
3.8%
100000000 36
 
2.8%
30000000 27
 
2.1%
20000000 25
 
1.9%
150000000 16
 
1.2%
300000000 9
 
0.7%
1000000 9
 
0.7%
5000000 8
 
0.6%
Other values (290) 316
24.4%
(Missing) 556
42.9%
ValueCountFrequency (%)
0 92
7.1%
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 

Distinct264
Distinct (%)35.9%
Missing559
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean7.90855 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros437
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-04-17T15:07:38.835763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2639658 × 108
95-th percentile3.2909686 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.2639658 × 108

Descriptive statistics

Standard deviation1.9591957 × 1012
Coefficient of variation (CV)24.773134
Kurtosis728.31814
Mean7.90855 × 1010
Median Absolute Deviation (MAD)0
Skewness26.926289
Sum5.8206928 × 1013
Variance3.8384478 × 1024
MonotonicityNot monotonic
2024-04-17T15:07:38.989469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 437
33.7%
100000000 9
 
0.7%
30000000 7
 
0.5%
50000000 7
 
0.5%
20000000 6
 
0.5%
80000000 4
 
0.3%
10000000 4
 
0.3%
150000000 3
 
0.2%
55000000 2
 
0.2%
16011376981 2
 
0.2%
Other values (254) 255
19.7%
(Missing) 559
43.2%
ValueCountFrequency (%)
0 437
33.7%
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%
28837496915 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct149
Distinct (%)20.2%
Missing558
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean8.9348696 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros51
Zeros (%)3.9%
Negative5
Negative (%)0.4%
Memory size11.5 KiB
2024-04-17T15:07:39.122626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q120000000
median50000000
Q31.2 × 108
95-th percentile1.01 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.9560946 × 1011
Coefficient of variation (CV)21.892816
Kurtosis705.92724
Mean8.9348696 × 109
Median Absolute Deviation (MAD)40000000
Skewness26.3539
Sum6.5849989 × 1012
Variance3.826306 × 1022
MonotonicityNot monotonic
2024-04-17T15:07:39.246051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 240
18.5%
10000000 70
 
5.4%
100000000 54
 
4.2%
0 51
 
3.9%
150000000 38
 
2.9%
30000000 30
 
2.3%
20000000 26
 
2.0%
300000000 19
 
1.5%
1000000 14
 
1.1%
5000000 11
 
0.8%
Other values (139) 184
 
14.2%
(Missing) 558
43.1%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-30721315 1
 
0.1%
-20089024 1
 
0.1%
-7981168 1
 
0.1%
0 51
3.9%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
243888 1
 
0.1%
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%
10929308930 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1295
Missing (%)100.0%
Memory size11.5 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1295
Missing (%)100.0%
Memory size11.5 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>
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>385737.128798180747.48756696388866854790607909098061<NA><NA>
23전화권유판매업08_26_03_P3250000200832500592420000120080416<NA>3폐업3폐업처리20100331<NA><NA><NA>051 710 0088<NA>600012부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)<NA>(주)두성크리에이터20100331155844I2018-08-31 23:59:59.0<NA>385568.38851179981.05839450000000050000000<NA><NA>
34전화권유판매업08_26_03_P3250000200732500592420003220070507<NA>3폐업3폐업처리20090310<NA><NA><NA>051 465 2480<NA>600714부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)<NA>(주)야마야푸즈서비스20090311134734I2018-08-31 23:59:59.0<NA>385666.280865179774.15839628859957589283668222000000000<NA><NA>
45전화권유판매업08_26_03_P3250000200932500832420000120080414<NA>3폐업3폐업처리20101123<NA><NA><NA><NA><NA>600816부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층부산광역시 중구 중앙대로 *** (중앙동*가)600816(주)텔라이브20111030143121I2018-08-31 23:59:59.0<NA>385709.21692180842.067771430355559118420371100000000<NA><NA>
56전화권유판매업08_26_03_P3250000201332500832420000120130509<NA>3폐업3폐업처리20201228<NA><NA><NA>051-463-3556<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)600815한국사진기자협회 영남지사20201228141512U2020-12-30 02:40:00.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
67전화권유판매업08_26_03_P3250000200732500592420003420070716<NA>3폐업3폐업처리20080125<NA><NA><NA>051 441 2905<NA>600721부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,흥우빌딩 *층)<NA>(주)유니원20080125141937I2018-08-31 23:59:59.0<NA>385614.928478180471.183034877495656549881097350000000<NA><NA>
78전화권유판매업08_26_03_P3250000201332500832420000220130621<NA>3폐업3폐업처리20141231<NA><NA><NA>051-464-5288<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보부산사옥)600815한국조사기자협회 영남지부20141231101215I2018-08-31 23:59:59.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
89전화권유판매업08_26_03_P3250000200832500592420000320080428<NA>3폐업3폐업처리20080826<NA><NA><NA>051 711 3000<NA>600723부산광역시 중구 중앙동*가 **번지 **호 정석빌딩 ***호부산광역시 중구 중앙대로 **, ***호 (중앙동*가,정석빌딩)<NA>(주)대광인베스트20080826151327I2018-08-31 23:59:59.0<NA>385616.660201180406.241288319817275329852750000000<NA><NA>
910전화권유판매업08_26_03_P3250000200832500592420000420080623<NA>3폐업3폐업처리20090617<NA><NA><NA>051 441 8837<NA>600110부산광역시 중구 영주동 ***번지 **호부산광역시 중구 동영로 ** (영주동)<NA>늘푸른유통20111030150209I2018-08-31 23:59:59.0<NA>385156.035884180976.447427<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12851286전화권유판매업08_26_03_P3400000201434000442420000120141126<NA>3폐업3폐업처리20151020<NA><NA><NA>051-701-1482<NA><NA><NA>부산광역시 기장군 기장읍 차성로 ***619903가온통신20151020161339I2018-08-31 23:59:59.0<NA>401374.625613195838.533577<NA><NA><NA><NA><NA>
12861287전화권유판매업08_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>
12871288전화권유판매업08_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>
12881289전화권유판매업08_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>
12891290전화권유판매업08_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>
12901291전화권유판매업08_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>
12911292전화권유판매업08_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>
12921293전화권유판매업08_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>
12931294전화권유판매업08_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>
12941295전화권유판매업08_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>