Overview

Dataset statistics

Number of variables33
Number of observations1308
Missing cells12724
Missing cells (%)29.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory366.7 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2023-01-01
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 1252 (95.7%) missing valuesMissing
폐업일자 has 269 (20.6%) missing valuesMissing
휴업시작일자 has 1291 (98.7%) missing valuesMissing
휴업종료일자 has 1291 (98.7%) missing valuesMissing
소재지전화 has 199 (15.2%) missing valuesMissing
소재지면적 has 1308 (100.0%) missing valuesMissing
소재지우편번호 has 486 (37.2%) missing valuesMissing
소재지전체주소 has 229 (17.5%) missing valuesMissing
도로명전체주소 has 67 (5.1%) missing valuesMissing
도로명우편번호 has 642 (49.1%) missing valuesMissing
업태구분명 has 1308 (100.0%) missing valuesMissing
좌표정보(x) has 60 (4.6%) missing valuesMissing
좌표정보(y) has 60 (4.6%) missing valuesMissing
자산규모 has 547 (41.8%) missing valuesMissing
부채총액 has 550 (42.0%) missing valuesMissing
자본금 has 549 (42.0%) missing valuesMissing
판매방식명 has 1308 (100.0%) missing valuesMissing
Unnamed: 32 has 1308 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 27.35854993)Skewed
부채총액 is highly skewed (γ1 = 27.32577071)Skewed
자본금 is highly skewed (γ1 = 26.7441058)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 112 (8.6%) zerosZeros
부채총액 has 459 (35.1%) zerosZeros
자본금 has 71 (5.4%) zerosZeros

Reproduction

Analysis started2024-04-17 06:06:02.327399
Analysis finished2024-04-17 06:06:03.535540
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.5
Minimum1
Maximum1308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:03.616410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile66.35
Q1327.75
median654.5
Q3981.25
95-th percentile1242.65
Maximum1308
Range1307
Interquartile range (IQR)653.5

Descriptive statistics

Standard deviation377.73139
Coefficient of variation (CV)0.5771297
Kurtosis-1.2
Mean654.5
Median Absolute Deviation (MAD)327
Skewness0
Sum856086
Variance142681
MonotonicityStrictly increasing
2024-04-17T15:06:03.776734image/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 (1298) 1298
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 (%)
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%
1299 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
전화권유판매업
1308 

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 1308
100.0%

Length

2024-04-17T15:06:03.893673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:03.983608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1308
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
08_26_03_P
1308 

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 1308
100.0%

Length

2024-04-17T15:06:04.083754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:04.166674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1308
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322775.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:04.249775image/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 deviation39379.521
Coefficient of variation (CV)0.011851395
Kurtosis-1.2123811
Mean3322775.2
Median Absolute Deviation (MAD)20000
Skewness0.26813166
Sum4.34619 × 109
Variance1.5507467 × 109
MonotonicityIncreasing
2024-04-17T15:06:04.353535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 375
28.7%
3370000 200
15.3%
3330000 121
 
9.3%
3300000 111
 
8.5%
3350000 91
 
7.0%
3270000 87
 
6.7%
3380000 73
 
5.6%
3310000 47
 
3.6%
3390000 46
 
3.5%
3320000 41
 
3.1%
Other values (6) 116
 
8.9%
ValueCountFrequency (%)
3250000 26
 
2.0%
3260000 9
 
0.7%
3270000 87
 
6.7%
3280000 8
 
0.6%
3290000 375
28.7%
3300000 111
 
8.5%
3310000 47
 
3.6%
3320000 41
 
3.1%
3330000 121
 
9.3%
3340000 37
 
2.8%
ValueCountFrequency (%)
3400000 22
 
1.7%
3390000 46
 
3.5%
3380000 73
 
5.6%
3370000 200
15.3%
3360000 14
 
1.1%
3350000 91
7.0%
3340000 37
 
2.8%
3330000 121
9.3%
3320000 41
 
3.1%
3310000 47
 
3.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0121779 × 1018
Minimum2.002329 × 1018
Maximum2.02234 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:04.462907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.0063277 × 1018
Q12.00833 × 1018
median2.01133 × 1018
Q32.015333 × 1018
95-th percentile2.02133 × 1018
Maximum2.02234 × 1018
Range2.0011002 × 1016
Interquartile range (IQR)7.0030039 × 1015

Descriptive statistics

Standard deviation4.6210241 × 1015
Coefficient of variation (CV)0.0022965287
Kurtosis-0.66233012
Mean2.0121779 × 1018
Median Absolute Deviation (MAD)3.0030024 × 1015
Skewness0.51781037
Sum-5.9557723 × 1018
Variance2.1353864 × 1031
MonotonicityNot monotonic
2024-04-17T15:06:04.914071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2008334006624200007 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%
2022335013524200004 1
 
0.1%
2021335011224200005 1
 
0.1%
Other values (1298) 1298
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%
2022337010624200002 1
0.1%
2022337010624200001 1
0.1%
2022336014524200001 1
0.1%
2022335013524200005 1
0.1%
2022335013524200004 1
0.1%
2022335013524200003 1
0.1%
2022335013524200002 1
0.1%
2022335013524200001 1
0.1%

인허가일자
Real number (ℝ)

Distinct1035
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115067
Minimum20020820
Maximum20221017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:05.041718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050923
Q120080422
median20110224
Q320150207
95-th percentile20201086
Maximum20221017
Range200197
Interquartile range (IQR)69785.25

Descriptive statistics

Standard deviation46755.068
Coefficient of variation (CV)0.0023243804
Kurtosis-0.60893177
Mean20115067
Median Absolute Deviation (MAD)30398
Skewness0.49867106
Sum2.6310508 × 1010
Variance2.1860364 × 109
MonotonicityNot monotonic
2024-04-17T15:06:05.183397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080826 8
 
0.6%
20080527 8
 
0.6%
20080526 6
 
0.5%
20120106 5
 
0.4%
20161013 5
 
0.4%
20150304 5
 
0.4%
20070528 4
 
0.3%
20090615 4
 
0.3%
20051005 4
 
0.3%
20111020 4
 
0.3%
Other values (1025) 1255
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 (%)
20221017 1
0.1%
20220929 1
0.1%
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%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1252
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:05.302112image/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
2024-04-17T15:06:05.434933image/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) 1252
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 size10.3 KiB
3
641 
4
454 
1
200 
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 (%)
3 641
49.0%
4 454
34.7%
1 200
 
15.3%
2 13
 
1.0%

Length

2024-04-17T15:06:05.612666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:05.737403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 641
49.0%
4 454
34.7%
1 200
 
15.3%
2 13
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
폐업
641 
취소/말소/만료/정지/중지
454 
영업/정상
200 
휴업
 
13

Length

Max length14
Median length9.5
Mean length6.6238532
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 641
49.0%
취소/말소/만료/정지/중지 454
34.7%
영업/정상 200
 
15.3%
휴업 13
 
1.0%

Length

2024-04-17T15:06:05.863481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:05.972084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 641
49.0%
취소/말소/만료/정지/중지 454
34.7%
영업/정상 200
 
15.3%
휴업 13
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
3
641 
7
395 
1
200 
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 (%)
3 641
49.0%
7 395
30.2%
1 200
 
15.3%
4 59
 
4.5%
2 13
 
1.0%

Length

2024-04-17T15:06:06.087432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:06.230209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 641
49.0%
7 395
30.2%
1 200
 
15.3%
4 59
 
4.5%
2 13
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
폐업처리
641 
직권말소
395 
정상영업
200 
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 641
49.0%
직권말소 395
30.2%
정상영업 200
 
15.3%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

Length

2024-04-17T15:06:06.365154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:06.480209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 641
49.0%
직권말소 395
30.2%
정상영업 200
 
15.3%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct645
Distinct (%)62.1%
Missing269
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean20132487
Minimum20070604
Maximum20221128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:06.614887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080522
Q120100624
median20130827
Q320160527
95-th percentile20200435
Maximum20221128
Range150524
Interquartile range (IQR)59902.5

Descriptive statistics

Standard deviation36332.818
Coefficient of variation (CV)0.001804686
Kurtosis-0.68483545
Mean20132487
Median Absolute Deviation (MAD)29997
Skewness0.30239885
Sum2.0917654 × 1010
Variance1.3200736 × 109
MonotonicityNot monotonic
2024-04-17T15:06:06.773237image/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%
20120814 12
 
0.9%
20140901 12
 
0.9%
20130204 11
 
0.8%
20090604 10
 
0.8%
20130827 9
 
0.7%
20101231 9
 
0.7%
20100514 9
 
0.7%
Other values (635) 924
70.6%
(Missing) 269
 
20.6%
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 (%)
20221128 1
0.1%
20221121 1
0.1%
20221101 1
0.1%
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%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing1291
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20171285
Minimum20090226
Maximum20220222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:06.918454image/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
2024-04-17T15:06:07.045696image/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) 1291
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%
Missing1291
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20183783
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:07.213561image/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
2024-04-17T15:06:07.461932image/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) 1291
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 size10.3 KiB
<NA>
1303 
20060126
 
1
20100217
 
1
20220908
 
1
20200312
 
1

Length

Max length8
Median length4
Mean length4.0152905
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> 1303
99.6%
20060126 1
 
0.1%
20100217 1
 
0.1%
20220908 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:06:07.708204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:07.880028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1303
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 (%)93.3%
Missing199
Missing (%)15.2%
Memory size10.3 KiB
2024-04-17T15:06:08.187777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.901713
Min length1

Characters and Unicode

Total characters12090
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

Unique969 ?
Unique (%)87.4%

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%
465 4
 
0.3%
906 4
 
0.3%
517 4
 
0.3%
Other values (1079) 1168
89.6%
2024-04-17T15:06:08.765230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2181
18.0%
1 1612
13.3%
- 1604
13.3%
5 1527
12.6%
8 862
 
7.1%
7 829
 
6.9%
6 789
 
6.5%
9 646
 
5.3%
3 629
 
5.2%
4 623
 
5.2%
Other values (6) 788
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10273
85.0%
Dash Punctuation 1604
 
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 2181
21.2%
1 1612
15.7%
5 1527
14.9%
8 862
 
8.4%
7 829
 
8.1%
6 789
 
7.7%
9 646
 
6.3%
3 629
 
6.1%
4 623
 
6.1%
2 575
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1604
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 12090
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2181
18.0%
1 1612
13.3%
- 1604
13.3%
5 1527
12.6%
8 862
 
7.1%
7 829
 
6.9%
6 789
 
6.5%
9 646
 
5.3%
3 629
 
5.2%
4 623
 
5.2%
Other values (6) 788
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2181
18.0%
1 1612
13.3%
- 1604
13.3%
5 1527
12.6%
8 862
 
7.1%
7 829
 
6.9%
6 789
 
6.5%
9 646
 
5.3%
3 629
 
5.2%
4 623
 
5.2%
Other values (6) 788
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1308
Missing (%)100.0%
Memory size11.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing486
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:09.007203image/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
2024-04-17T15:06:09.212316image/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) 486
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 

Distinct819
Distinct (%)75.9%
Missing229
Missing (%)17.5%
Memory size10.3 KiB
2024-04-17T15:06:09.588037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.528267
Min length12

Characters and Unicode

Total characters30782
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

Unique689 ?
Unique (%)63.9%

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 1063
16.5%
번지 961
14.9%
층 339
 
5.3%
부산진구 297
 
4.6%
연제구 184
 
2.9%
138
 
2.1%
연산동 126
 
2.0%
동래구 97
 
1.5%
부전동 90
 
1.4%
Other values (617) 2078
32.2%
2024-04-17T15:06:10.258733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6301
20.5%
5396
17.5%
산 1577
 
5.1%
부 1531
 
5.0%
동 1317
 
4.3%
광 1113
 
3.6%
시 1097
 
3.6%
구 1090
 
3.5%
호 1087
 
3.5%
역 1083
 
3.5%
Other values (326) 9190
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18828
61.2%
Other Punctuation 6331
 
20.6%
Space Separator 5396
 
17.5%
Dash Punctuation 106
 
0.3%
Uppercase Letter 99
 
0.3%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1577
 
8.4%
부 1531
 
8.1%
동 1317
 
7.0%
광 1113
 
5.9%
시 1097
 
5.8%
구 1090
 
5.8%
호 1087
 
5.8%
역 1083
 
5.8%
지 1018
 
5.4%
번 962
 
5.1%
Other values (301) 6953
36.9%
Uppercase Letter
ValueCountFrequency (%)
T 25
25.3%
K 25
25.3%
B 12
12.1%
S 11
11.1%
O 6
 
6.1%
I 3
 
3.0%
D 3
 
3.0%
C 2
 
2.0%
E 2
 
2.0%
H 2
 
2.0%
Other values (5) 8
 
8.1%
Other Punctuation
ValueCountFrequency (%)
* 6301
99.5%
, 22
 
0.3%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18828
61.2%
Common 11852
38.5%
Latin 102
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1577
 
8.4%
부 1531
 
8.1%
동 1317
 
7.0%
광 1113
 
5.9%
시 1097
 
5.8%
구 1090
 
5.8%
호 1087
 
5.8%
역 1083
 
5.8%
지 1018
 
5.4%
번 962
 
5.1%
Other values (301) 6953
36.9%
Latin
ValueCountFrequency (%)
T 25
24.5%
K 25
24.5%
B 12
11.8%
S 11
10.8%
O 6
 
5.9%
e 3
 
2.9%
I 3
 
2.9%
D 3
 
2.9%
C 2
 
2.0%
E 2
 
2.0%
Other values (6) 10
 
9.8%
Common
ValueCountFrequency (%)
* 6301
53.2%
5396
45.5%
- 106
 
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 18828
61.2%
ASCII 11954
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6301
52.7%
5396
45.1%
- 106
 
0.9%
T 25
 
0.2%
K 25
 
0.2%
, 22
 
0.2%
B 12
 
0.1%
S 11
 
0.1%
) 8
 
0.1%
( 8
 
0.1%
Other values (15) 40
 
0.3%
Hangul
ValueCountFrequency (%)
산 1577
 
8.4%
부 1531
 
8.1%
동 1317
 
7.0%
광 1113
 
5.9%
시 1097
 
5.8%
구 1090
 
5.8%
호 1087
 
5.8%
역 1083
 
5.8%
지 1018
 
5.4%
번 962
 
5.1%
Other values (301) 6953
36.9%

도로명전체주소
Text

MISSING 

Distinct1056
Distinct (%)85.1%
Missing67
Missing (%)5.1%
Memory size10.3 KiB
2024-04-17T15:06:10.605099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length33.250604
Min length21

Characters and Unicode

Total characters41264
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

Unique924 ?
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 1241
 
16.3%
층 483
 
6.4%
호 385
 
5.1%
부산진구 363
 
4.8%
중앙대로 245
 
3.2%
연제구 199
 
2.6%
해운대구 114
 
1.5%
연산동 104
 
1.4%
동래구 91
 
1.2%
Other values (1046) 3106
40.9%
2024-04-17T15:06:11.138085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6446
 
15.6%
6364
 
15.4%
산 1841
 
4.5%
부 1824
 
4.4%
동 1639
 
4.0%
, 1351
 
3.3%
시 1302
 
3.2%
광 1294
 
3.1%
구 1254
 
3.0%
역 1245
 
3.0%
Other values (356) 16704
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24348
59.0%
Other Punctuation 7804
 
18.9%
Space Separator 6364
 
15.4%
Open Punctuation 1234
 
3.0%
Close Punctuation 1234
 
3.0%
Uppercase Letter 137
 
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 1841
 
7.6%
부 1824
 
7.5%
동 1639
 
6.7%
시 1302
 
5.3%
광 1294
 
5.3%
구 1254
 
5.2%
역 1245
 
5.1%
로 1243
 
5.1%
대 724
 
3.0%
층 611
 
2.5%
Other values (329) 11371
46.7%
Uppercase Letter
ValueCountFrequency (%)
K 38
27.7%
T 37
27.0%
B 12
 
8.8%
S 9
 
6.6%
O 6
 
4.4%
C 5
 
3.6%
A 5
 
3.6%
W 4
 
2.9%
E 4
 
2.9%
V 4
 
2.9%
Other values (6) 13
 
9.5%
Other Punctuation
ValueCountFrequency (%)
* 6446
82.6%
, 1351
 
17.3%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
k 2
 
22.2%
t 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6364
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24348
59.0%
Common 16770
40.6%
Latin 146
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1841
 
7.6%
부 1824
 
7.5%
동 1639
 
6.7%
시 1302
 
5.3%
광 1294
 
5.3%
구 1254
 
5.2%
역 1245
 
5.1%
로 1243
 
5.1%
대 724
 
3.0%
층 611
 
2.5%
Other values (329) 11371
46.7%
Latin
ValueCountFrequency (%)
K 38
26.0%
T 37
25.3%
B 12
 
8.2%
S 9
 
6.2%
O 6
 
4.1%
e 5
 
3.4%
C 5
 
3.4%
A 5
 
3.4%
W 4
 
2.7%
E 4
 
2.7%
Other values (9) 21
14.4%
Common
ValueCountFrequency (%)
* 6446
38.4%
6364
37.9%
, 1351
 
8.1%
( 1234
 
7.4%
) 1234
 
7.4%
- 130
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24348
59.0%
ASCII 16916
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6446
38.1%
6364
37.6%
, 1351
 
8.0%
( 1234
 
7.3%
) 1234
 
7.3%
- 130
 
0.8%
K 38
 
0.2%
T 37
 
0.2%
B 12
 
0.1%
S 9
 
0.1%
Other values (17) 61
 
0.4%
Hangul
ValueCountFrequency (%)
산 1841
 
7.6%
부 1824
 
7.5%
동 1639
 
6.7%
시 1302
 
5.3%
광 1294
 
5.3%
구 1254
 
5.2%
역 1245
 
5.1%
로 1243
 
5.1%
대 724
 
3.0%
층 611
 
2.5%
Other values (329) 11371
46.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct388
Distinct (%)58.3%
Missing642
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean310271.94
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:11.297951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46275.75
Q147538.5
median48757.5
Q3612021.75
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)564483.25

Descriptive statistics

Standard deviation281760.33
Coefficient of variation (CV)0.90810766
Kurtosis-1.9862029
Mean310271.94
Median Absolute Deviation (MAD)2507.5
Skewness0.13907752
Sum2.0664112 × 108
Variance7.9388883 × 1010
MonotonicityNot monotonic
2024-04-17T15:06:11.466849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 22
 
1.7%
614853 18
 
1.4%
611839 17
 
1.3%
47596 10
 
0.8%
47257 8
 
0.6%
47541 6
 
0.5%
611831 6
 
0.5%
611820 6
 
0.5%
46569 6
 
0.5%
614843 6
 
0.5%
Other values (378) 561
42.9%
(Missing) 642
49.1%
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 (%)95.7%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024-04-17T15:06:11.747814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.7538226
Min length1

Characters and Unicode

Total characters10142
Distinct characters498
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

Unique1201 ?
Unique (%)91.8%

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%
주)티브로드 5
 
0.3%
대부중개 5
 
0.3%
부산지점 5
 
0.3%
유한회사 4
 
0.2%
농업회사법인 4
 
0.2%
모바일 4
 
0.2%
주)대영씨엔아이 3
 
0.2%
부산방송 3
 
0.2%
Other values (1341) 1428
86.0%
2024-04-17T15:06:12.218776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 691
 
6.8%
( 522
 
5.1%
) 522
 
5.1%
356
 
3.5%
이 315
 
3.1%
사 266
 
2.6%
스 254
 
2.5%
회 237
 
2.3%
식 214
 
2.1%
신 164
 
1.6%
Other values (488) 6601
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8295
81.8%
Open Punctuation 522
 
5.1%
Close Punctuation 522
 
5.1%
Space Separator 356
 
3.5%
Uppercase Letter 259
 
2.6%
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 691
 
8.3%
이 315
 
3.8%
사 266
 
3.2%
스 254
 
3.1%
회 237
 
2.9%
식 214
 
2.6%
신 164
 
2.0%
통 161
 
1.9%
부 137
 
1.7%
정 132
 
1.6%
Other values (426) 5724
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.5%
M 21
 
8.1%
C 17
 
6.6%
T 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%
u 5
 
4.8%
c 5
 
4.8%
l 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 (%)
( 522
100.0%
Close Punctuation
ValueCountFrequency (%)
) 522
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 8307
81.9%
Common 1472
 
14.5%
Latin 363
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 691
 
8.3%
이 315
 
3.8%
사 266
 
3.2%
스 254
 
3.1%
회 237
 
2.9%
식 214
 
2.6%
신 164
 
2.0%
통 161
 
1.9%
부 137
 
1.6%
정 132
 
1.6%
Other values (427) 5736
69.1%
Latin
ValueCountFrequency (%)
S 22
 
6.1%
M 21
 
5.8%
C 17
 
4.7%
T 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 (%)
( 522
35.5%
) 522
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 8295
81.8%
ASCII 1835
 
18.1%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 691
 
8.3%
이 315
 
3.8%
사 266
 
3.2%
스 254
 
3.1%
회 237
 
2.9%
식 214
 
2.6%
신 164
 
2.0%
통 161
 
1.9%
부 137
 
1.7%
정 132
 
1.6%
Other values (426) 5724
69.0%
ASCII
ValueCountFrequency (%)
( 522
28.4%
) 522
28.4%
356
19.4%
. 24
 
1.3%
S 22
 
1.2%
M 21
 
1.1%
& 20
 
1.1%
C 17
 
0.9%
T 17
 
0.9%
o 16
 
0.9%
Other values (51) 298
16.2%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0143831 × 1013
Minimum2.0070731 × 1013
Maximum2.0221128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:12.507946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080826 × 1013
Q12.0110413 × 1013
median2.0140902 × 1013
Q32.0171104 × 1013
95-th percentile2.0220121 × 1013
Maximum2.0221128 × 1013
Range1.5039703 × 1011
Interquartile range (IQR)6.0690687 × 1010

Descriptive statistics

Standard deviation4.1248298 × 1010
Coefficient of variation (CV)0.0020476888
Kurtosis-0.95813239
Mean2.0143831 × 1013
Median Absolute Deviation (MAD)3.0274989 × 1010
Skewness0.1686718
Sum2.6348131 × 1016
Variance1.7014221 × 1021
MonotonicityNot monotonic
2024-04-17T15:06:12.718935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20121128221119 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%
20221017165227 1
 
0.1%
20220218104057 1
 
0.1%
Other values (1298) 1298
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 (%)
20221128171504 1
0.1%
20221125104723 1
0.1%
20221121171342 1
0.1%
20221116121756 1
0.1%
20221116121136 1
0.1%
20221114133217 1
0.1%
20221107152542 1
0.1%
20221103163503 1
0.1%
20221102175729 1
0.1%
20221017165227 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
I
1125 
U
183 

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 1125
86.0%
U 183
 
14.0%

Length

2024-04-17T15:06:12.947659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:06:13.113202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1125
86.0%
u 183
 
14.0%

데이터갱신일자
Date

Distinct239
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-30 02:40:00
2024-04-17T15:06:13.266609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:06:13.450925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1308
Missing (%)100.0%
Memory size11.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct815
Distinct (%)65.3%
Missing60
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean388723.35
Minimum373571.48
Maximum407471.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:13.665234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile380993.64
Q1387474.44
median388634.75
Q3390162.97
95-th percentile395361.69
Maximum407471.57
Range33900.093
Interquartile range (IQR)2688.5304

Descriptive statistics

Standard deviation4049.0762
Coefficient of variation (CV)0.010416344
Kurtosis2.9347522
Mean388723.35
Median Absolute Deviation (MAD)1311.0802
Skewness0.28913502
Sum4.8512674 × 108
Variance16395018
MonotonicityNot monotonic
2024-04-17T15:06:14.228577image/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 9
 
0.7%
393963.840834294 8
 
0.6%
392859.978697888 8
 
0.6%
393790.344709358 8
 
0.6%
389763.458430383 7
 
0.5%
Other values (805) 1127
86.2%
(Missing) 60
 
4.6%
ValueCountFrequency (%)
373571.480942057 1
0.1%
373988.512839189 1
0.1%
374147.216821474 1
0.1%
374253.112341011 1
0.1%
376599.300710172 1
0.1%
376897.678873247 1
0.1%
377141.445457607 1
0.1%
377198.038259415 2
0.2%
377614.488355711 1
0.1%
378105.275765267 1
0.1%
ValueCountFrequency (%)
407471.574421528 2
0.2%
407224.084854733 1
0.1%
407089.382563893 1
0.1%
405522.604210084 1
0.1%
403804.617191316 1
0.1%
402225.502651266 1
0.1%
401682.97588467 1
0.1%
401645.825170162 1
0.1%
401447.638847969 1
0.1%
401438.308239304 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct815
Distinct (%)65.3%
Missing60
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean187851.07
Minimum174926.66
Maximum206281.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:14.368325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180602.12
Q1185529.62
median187658.4
Q3189714.82
95-th percentile195834.92
Maximum206281.27
Range31354.607
Interquartile range (IQR)4185.2034

Descriptive statistics

Standard deviation4356.2407
Coefficient of variation (CV)0.023189863
Kurtosis1.8937593
Mean187851.07
Median Absolute Deviation (MAD)2073.1082
Skewness0.58702521
Sum2.3443814 × 108
Variance18976833
MonotonicityNot monotonic
2024-04-17T15:06:14.497851image/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%
188328.743910701 9
 
0.7%
188061.35516256 8
 
0.6%
187523.604270754 8
 
0.6%
188235.889521484 8
 
0.6%
189676.126925582 7
 
0.5%
Other values (805) 1127
86.2%
(Missing) 60
 
4.6%
ValueCountFrequency (%)
174926.658916532 1
 
0.1%
174949.822461937 1
 
0.1%
175213.001131118 1
 
0.1%
175359.769070119 1
 
0.1%
176580.102067639 1
 
0.1%
176697.577167306 1
 
0.1%
176893.324496569 1
 
0.1%
177436.655876835 1
 
0.1%
177507.608774067 1
 
0.1%
177623.034608355 3
0.2%
ValueCountFrequency (%)
206281.265893726 1
0.1%
206018.432824666 1
0.1%
205933.277545703 1
0.1%
205474.842798368 2
0.2%
205403.736900702 1
0.1%
205331.700588625 1
0.1%
204619.863730079 1
0.1%
203492.648318112 1
0.1%
202095.800994087 1
0.1%
201768.043889145 1
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct302
Distinct (%)39.7%
Missing547
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean8.6004096 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros112
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:14.633509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000000
median50000000
Q32.8682104 × 108
95-th percentile4.5416204 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.7682104 × 108

Descriptive statistics

Standard deviation2.1182259 × 1012
Coefficient of variation (CV)24.629361
Kurtosis752.24262
Mean8.6004096 × 1010
Median Absolute Deviation (MAD)50000000
Skewness27.35855
Sum6.5449117 × 1013
Variance4.4868811 × 1024
MonotonicityNot monotonic
2024-04-17T15:06:14.779073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 153
 
11.7%
0 112
 
8.6%
10000000 48
 
3.7%
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) 547
41.8%
ValueCountFrequency (%)
0 112
8.6%
50000 1
 
0.1%
199560 1
 
0.1%
300000 1
 
0.1%
1000000 9
 
0.7%
2000000 2
 
0.2%
2968387 1
 
0.1%
3000000 2
 
0.2%
4195000 1
 
0.1%
5000000 8
 
0.6%
ValueCountFrequency (%)
58274736121400 1
0.1%
4287171590435 1
0.1%
813483890826 1
0.1%
771591249407 1
0.1%
154739323959 1
0.1%
120453637382 1
0.1%
100091909215 1
0.1%
86314571577 1
0.1%
67525432454 1
0.1%
49418153697 1
0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct265
Distinct (%)35.0%
Missing550
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean7.6796036 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros459
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-04-17T15:06:14.925602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.179497 × 108
95-th percentile3.2233645 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.179497 × 108

Descriptive statistics

Standard deviation1.9305621 × 1012
Coefficient of variation (CV)25.138825
Kurtosis750.08937
Mean7.6796036 × 1010
Median Absolute Deviation (MAD)0
Skewness27.325771
Sum5.8211395 × 1013
Variance3.72707 × 1024
MonotonicityNot monotonic
2024-04-17T15:06:15.068063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 459
35.1%
100000000 9
 
0.7%
30000000 7
 
0.5%
20000000 6
 
0.5%
50000000 6
 
0.5%
10000000 4
 
0.3%
80000000 4
 
0.3%
274000000 2
 
0.2%
150000000 2
 
0.2%
55000000 2
 
0.2%
Other values (255) 257
19.6%
(Missing) 550
42.0%
ValueCountFrequency (%)
0 459
35.1%
55356 1
 
0.1%
443448 1
 
0.1%
968387 1
 
0.1%
985303 1
 
0.1%
1101240 1
 
0.1%
1256855 1
 
0.1%
1261800 1
 
0.1%
1273100 1
 
0.1%
1700000 1
 
0.1%
ValueCountFrequency (%)
53019720896146 1
0.1%
3781725721668 1
0.1%
665004058309 1
0.1%
101945709477 1
0.1%
72002590189 1
0.1%
71755142536 1
0.1%
31483064051 1
0.1%
30070787337 1
0.1%
26762675048 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct151
Distinct (%)19.9%
Missing549
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean8.6947878 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros71
Zeros (%)5.4%
Negative6
Negative (%)0.5%
Memory size11.6 KiB
2024-04-17T15:06:15.220170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q112651790
median50000000
Q31 × 108
95-th percentile1.005 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)87348210

Descriptive statistics

Standard deviation1.9275568 × 1011
Coefficient of variation (CV)22.169106
Kurtosis726.9924
Mean8.6947878 × 109
Median Absolute Deviation (MAD)40000000
Skewness26.744106
Sum6.5993439 × 1012
Variance3.715475 × 1022
MonotonicityNot monotonic
2024-04-17T15:06:15.351576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 241
18.4%
0 71
 
5.4%
10000000 69
 
5.3%
100000000 53
 
4.1%
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) 549
42.0%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-58087973 1
 
0.1%
-42713664 1
 
0.1%
-30721315 1
 
0.1%
-20089024 1
 
0.1%
0 71
5.4%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
ValueCountFrequency (%)
5255015225254 1
0.1%
741481300637 1
0.1%
218000000000 1
0.1%
61194035158 1
0.1%
31000000000 1
0.1%
30860000000 1
0.1%
21633164631 1
0.1%
20747480000 1
0.1%
20000000000 2
0.2%
15261799186 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1308
Missing (%)100.0%
Memory size11.6 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1308
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>
12전화권유판매업08_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>
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56전화권유판매업08_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>
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
12981299전화권유판매업08_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>
12991300전화권유판매업08_26_03_P3400000201634000722420000120160411<NA>3폐업3폐업처리20160527<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 용궁길 **-*46084해동용궁수산20160527102826I2018-08-31 23:59:59.0<NA>402225.502651190035.925004<NA><NA><NA><NA><NA>
13001301전화권유판매업08_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>403804.617191203492.64831810000000010000000<NA><NA>
13011302전화권유판매업08_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>397059.580686205933.277546<NA><NA><NA><NA><NA>
13021303전화권유판매업08_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>405522.60421202095.80099400150000000<NA><NA>
13031304전화권유판매업08_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>407224.084855205403.73690133199734192932326239074015<NA><NA>
13041305전화권유판매업08_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>401374.624968195838.533464507057337164654698160000000<NA><NA>
13051306전화권유판매업08_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>401199.2284189625.15520300<NA><NA><NA>
13061307전화권유판매업08_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>
13071308전화권유판매업08_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>401272.722582196533.32174430000000030000000<NA><NA>