Overview

Dataset statistics

Number of variables33
Number of observations1288
Missing cells12563
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory361.1 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2022-03-01
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 (98.2%)Imbalance
인허가취소일자 has 1232 (95.7%) missing valuesMissing
폐업일자 has 261 (20.3%) missing valuesMissing
휴업시작일자 has 1272 (98.8%) missing valuesMissing
휴업종료일자 has 1272 (98.8%) missing valuesMissing
소재지전화 has 187 (14.5%) missing valuesMissing
소재지면적 has 1288 (100.0%) missing valuesMissing
소재지우편번호 has 466 (36.2%) missing valuesMissing
소재지전체주소 has 231 (17.9%) missing valuesMissing
도로명전체주소 has 67 (5.2%) missing valuesMissing
도로명우편번호 has 642 (49.8%) missing valuesMissing
업태구분명 has 1288 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.7%) missing valuesMissing
좌표정보(y) has 48 (3.7%) missing valuesMissing
자산규모 has 560 (43.5%) missing valuesMissing
부채총액 has 563 (43.7%) missing valuesMissing
자본금 has 562 (43.6%) missing valuesMissing
판매방식명 has 1288 (100.0%) missing valuesMissing
Unnamed: 32 has 1288 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 26.75877837)Skewed
부채총액 is highly skewed (γ1 = 26.72430976)Skewed
자본금 is highly skewed (γ1 = 26.15647415)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 85 (6.6%) zerosZeros
부채총액 has 428 (33.2%) zerosZeros
자본금 has 44 (3.4%) zerosZeros

Reproduction

Analysis started2024-04-17 06:07:51.488207
Analysis finished2024-04-17 06:07:52.244424
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean644.5
Minimum1
Maximum1288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:52.305166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65.35
Q1322.75
median644.5
Q3966.25
95-th percentile1223.65
Maximum1288
Range1287
Interquartile range (IQR)643.5

Descriptive statistics

Standard deviation371.95788
Coefficient of variation (CV)0.57712627
Kurtosis-1.2
Mean644.5
Median Absolute Deviation (MAD)322
Skewness0
Sum830116
Variance138352.67
MonotonicityStrictly increasing
2024-04-17T15:07:52.439131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
887 1
 
0.1%
865 1
 
0.1%
864 1
 
0.1%
863 1
 
0.1%
862 1
 
0.1%
861 1
 
0.1%
860 1
 
0.1%
859 1
 
0.1%
858 1
 
0.1%
Other values (1278) 1278
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 (%)
1288 1
0.1%
1287 1
0.1%
1286 1
0.1%
1285 1
0.1%
1284 1
0.1%
1283 1
0.1%
1282 1
0.1%
1281 1
0.1%
1280 1
0.1%
1279 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
전화권유판매업
1288 

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 1288
100.0%

Length

2024-04-17T15:07:52.564062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:52.647698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1288
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
08_26_03_P
1288 

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 1288
100.0%

Length

2024-04-17T15:07:52.732828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:52.816454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1288
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 size11.4 KiB
2024-04-17T15:07:52.893588image/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 deviation39488.206
Coefficient of variation (CV)0.011883839
Kurtosis-1.2226268
Mean3322849.4
Median Absolute Deviation (MAD)20000
Skewness0.25866424
Sum4.27983 × 109
Variance1.5593184 × 109
MonotonicityIncreasing
2024-04-17T15:07:53.019130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 371
28.8%
3370000 198
15.4%
3330000 118
 
9.2%
3300000 107
 
8.3%
3350000 90
 
7.0%
3270000 88
 
6.8%
3380000 73
 
5.7%
3390000 46
 
3.6%
3310000 43
 
3.3%
3320000 41
 
3.2%
Other values (6) 113
 
8.8%
ValueCountFrequency (%)
3250000 27
 
2.1%
3260000 7
 
0.5%
3270000 88
 
6.8%
3280000 7
 
0.5%
3290000 371
28.8%
3300000 107
 
8.3%
3310000 43
 
3.3%
3320000 41
 
3.2%
3330000 118
 
9.2%
3340000 37
 
2.9%
ValueCountFrequency (%)
3400000 21
 
1.6%
3390000 46
 
3.6%
3380000 73
 
5.7%
3370000 198
15.4%
3360000 14
 
1.1%
3350000 90
7.0%
3340000 37
 
2.9%
3330000 118
9.2%
3320000 41
 
3.2%
3310000 43
 
3.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119992 × 1018
Minimum2.002329 × 1018
Maximum2.022333 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:53.200982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.0063257 × 1018
Q12.00833 × 1018
median2.011329 × 1018
Q32.015329 × 1018
95-th percentile2.020334 × 1018
Maximum2.022333 × 1018
Range2.0004007 × 1016
Interquartile range (IQR)6.9990043 × 1015

Descriptive statistics

Standard deviation4.4380324 × 1015
Coefficient of variation (CV)0.0022057824
Kurtosis-0.71228226
Mean2.0119992 × 1018
Median Absolute Deviation (MAD)3.003501 × 1015
Skewness0.47493524
Sum8.9108237 × 1018
Variance1.9696131 × 1031
MonotonicityNot monotonic
2024-04-17T15:07:53.450226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2010335008024200002 1
 
0.1%
2021335011224200003 1
 
0.1%
2021335011224200001 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%
Other values (1278) 1278
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 (%)
2022333015124200001 1
0.1%
2022331011924200001 1
0.1%
2022329014424200001 1
0.1%
2021340010924200003 1
0.1%
2021340010924200002 1
0.1%
2021340010924200001 1
0.1%
2021339010924200004 1
0.1%
2021339010924200003 1
0.1%
2021339010924200002 1
0.1%
2021337010624200004 1
0.1%

인허가일자
Real number (ℝ)

Distinct1016
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113282
Minimum20020820
Maximum20220121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:53.630145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050917
Q120080414
median20110111
Q320141148
95-th percentile20200384
Maximum20220121
Range199301
Interquartile range (IQR)60734.25

Descriptive statistics

Standard deviation45014.168
Coefficient of variation (CV)0.0022380319
Kurtosis-0.63872026
Mean20113282
Median Absolute Deviation (MAD)30296
Skewness0.46298108
Sum2.5905908 × 1010
Variance2.0262753 × 109
MonotonicityNot monotonic
2024-04-17T15:07:54.168257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080527 8
 
0.6%
20080826 8
 
0.6%
20080526 6
 
0.5%
20161013 5
 
0.4%
20120106 5
 
0.4%
20150304 5
 
0.4%
20070528 4
 
0.3%
20090427 4
 
0.3%
20080320 4
 
0.3%
20120611 4
 
0.3%
Other values (1006) 1235
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 (%)
20220121 1
0.1%
20220114 1
0.1%
20211220 1
0.1%
20211124 1
0.1%
20211123 1
0.1%
20211109 1
0.1%
20211022 1
0.1%
20210928 1
0.1%
20210901 1
0.1%
20210810 2
0.2%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1232
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:54.302076image/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
2024-04-17T15:07:54.432989image/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) 1232
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
630 
4
453 
1
193 
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 630
48.9%
4 453
35.2%
1 193
 
15.0%
2 12
 
0.9%

Length

2024-04-17T15:07:54.547831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:54.638762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 630
48.9%
4 453
35.2%
1 193
 
15.0%
2 12
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업
630 
취소/말소/만료/정지/중지
453 
영업/정상
193 
휴업
 
12

Length

Max length14
Median length5
Mean length6.6700311
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 630
48.9%
취소/말소/만료/정지/중지 453
35.2%
영업/정상 193
 
15.0%
휴업 12
 
0.9%

Length

2024-04-17T15:07:54.742689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:54.839822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 630
48.9%
취소/말소/만료/정지/중지 453
35.2%
영업/정상 193
 
15.0%
휴업 12
 
0.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3
630 
7
394 
1
193 
4
 
59
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 630
48.9%
7 394
30.6%
1 193
 
15.0%
4 59
 
4.6%
2 12
 
0.9%

Length

2024-04-17T15:07:54.939132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:55.029151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 630
48.9%
7 394
30.6%
1 193
 
15.0%
4 59
 
4.6%
2 12
 
0.9%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업처리
630 
직권말소
394 
정상영업
193 
직권취소
 
59
휴업처리
 
12

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 630
48.9%
직권말소 394
30.6%
정상영업 193
 
15.0%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

Length

2024-04-17T15:07:55.141392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:55.242198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 630
48.9%
직권말소 394
30.6%
정상영업 193
 
15.0%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct633
Distinct (%)61.6%
Missing261
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean20131457
Minimum20070604
Maximum20220128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:55.358470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080521
Q120100526
median20130812
Q320160420
95-th percentile20191101
Maximum20220128
Range149524
Interquartile range (IQR)59894

Descriptive statistics

Standard deviation35264.392
Coefficient of variation (CV)0.0017517059
Kurtosis-0.79578344
Mean20131457
Median Absolute Deviation (MAD)29894
Skewness0.23939959
Sum2.0675006 × 1010
Variance1.2435773 × 109
MonotonicityNot monotonic
2024-04-17T15:07:55.491411image/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
 
0.9%
20090604 10
 
0.8%
20160201 9
 
0.7%
20130827 9
 
0.7%
20101231 9
 
0.7%
Other values (623) 912
70.8%
(Missing) 261
 
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 (%)
20220128 1
0.1%
20220107 2
0.2%
20211208 1
0.1%
20211125 1
0.1%
20211122 1
0.1%
20211025 1
0.1%
20211022 1
0.1%
20210929 1
0.1%
20210907 1
0.1%
20210706 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing1272
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20167663
Minimum20090226
Maximum20211203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:55.633260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090226
5-th percentile20098398
Q120153370
median20180469
Q320190536
95-th percentile20203724
Maximum20211203
Range120977
Interquartile range (IQR)37167

Descriptive statistics

Standard deviation35919.732
Coefficient of variation (CV)0.0017810557
Kurtosis0.24712927
Mean20167663
Median Absolute Deviation (MAD)15187.5
Skewness-1.0869196
Sum3.2268261 × 108
Variance1.2902271 × 109
MonotonicityNot monotonic
2024-04-17T15:07:55.747928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20201231 1
 
0.1%
20181031 1
 
0.1%
20090226 1
 
0.1%
20160819 1
 
0.1%
20190227 1
 
0.1%
20180511 1
 
0.1%
20171122 1
 
0.1%
20191210 1
 
0.1%
20200103 1
 
0.1%
20101122 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1272
98.8%
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 (%)
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%
20180427 1
0.1%
20171219 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing1272
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20181469
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:55.857185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090630
5-th percentile20105548
Q120156177
median20190720
Q320213280
95-th percentile20233128
Maximum20241231
Range150601
Interquartile range (IQR)57103.25

Descriptive statistics

Standard deviation43297.985
Coefficient of variation (CV)0.0021454328
Kurtosis-0.12555985
Mean20181469
Median Absolute Deviation (MAD)30000
Skewness-0.66706853
Sum3.229035 × 108
Variance1.8747155 × 109
MonotonicityNot monotonic
2024-04-17T15:07:55.973168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20191231 2
 
0.2%
20241231 1
 
0.1%
20230201 1
 
0.1%
20141015 1
 
0.1%
20230427 1
 
0.1%
20221231 1
 
0.1%
20180531 1
 
0.1%
20110521 1
 
0.1%
20140826 1
 
0.1%
20210630 1
 
0.1%
Other values (5) 5
 
0.4%
(Missing) 1272
98.8%
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%
20210630 1
0.1%
20191231 2
0.2%
20190930 1
0.1%
20190511 1
0.1%
20181121 1
0.1%
20180531 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1283 
20060126
 
1
20100217
 
1
20220107
 
1
20200312
 
1

Length

Max length8
Median length4
Mean length4.015528
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> 1283
99.6%
20060126 1
 
0.1%
20100217 1
 
0.1%
20220107 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:07:56.130092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:56.247435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1283
99.6%
20060126 1
 
0.1%
20100217 1
 
0.1%
20220107 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1025
Distinct (%)93.1%
Missing187
Missing (%)14.5%
Memory size10.2 KiB
2024-04-17T15:07:56.460737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.906449
Min length1

Characters and Unicode

Total characters12008
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

Unique957 ?
Unique (%)86.9%

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%
517 4
 
0.3%
465 4
 
0.3%
851 4
 
0.3%
906 4
 
0.3%
868 4
 
0.3%
861 4
 
0.3%
051-747-5044 4
 
0.3%
Other values (1069) 1160
89.5%
2024-04-17T15:07:56.825922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2173
18.1%
1 1605
13.4%
- 1594
13.3%
5 1522
12.7%
8 851
 
7.1%
7 823
 
6.9%
6 779
 
6.5%
9 641
 
5.3%
4 618
 
5.1%
3 618
 
5.1%
Other values (6) 784
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10201
85.0%
Dash Punctuation 1594
 
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 2173
21.3%
1 1605
15.7%
5 1522
14.9%
8 851
 
8.3%
7 823
 
8.1%
6 779
 
7.6%
9 641
 
6.3%
4 618
 
6.1%
3 618
 
6.1%
2 571
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1594
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 12008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2173
18.1%
1 1605
13.4%
- 1594
13.3%
5 1522
12.7%
8 851
 
7.1%
7 823
 
6.9%
6 779
 
6.5%
9 641
 
5.3%
4 618
 
5.1%
3 618
 
5.1%
Other values (6) 784
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2173
18.1%
1 1605
13.4%
- 1594
13.3%
5 1522
12.7%
8 851
 
7.1%
7 823
 
6.9%
6 779
 
6.5%
9 641
 
5.3%
4 618
 
5.1%
3 618
 
5.1%
Other values (6) 784
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1288
Missing (%)100.0%
Memory size11.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing466
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:56.959464image/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
2024-04-17T15:07:57.093306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614050 45
 
3.5%
614030 42
 
3.3%
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
44.0%
(Missing) 466
36.2%
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 

Distinct800
Distinct (%)75.7%
Missing231
Missing (%)17.9%
Memory size10.2 KiB
2024-04-17T15:07:57.317322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.62157
Min length12

Characters and Unicode

Total characters30253
Distinct characters335
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique672 ?
Unique (%)63.6%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **-*
3rd row부산광역시 중구 중앙동*가 **-*
4th row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
ValueCountFrequency (%)
호 1062
16.7%
부산광역시 1056
16.6%
번지 966
15.2%
층 338
 
5.3%
부산진구 293
 
4.6%
연제구 182
 
2.9%
연산동 125
 
2.0%
110
 
1.7%
동래구 92
 
1.5%
부전동 89
 
1.4%
Other values (602) 2030
32.0%
2024-04-17T15:07:57.681296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6186
20.4%
5310
17.6%
산 1550
 
5.1%
부 1503
 
5.0%
동 1285
 
4.2%
광 1091
 
3.6%
호 1086
 
3.6%
시 1074
 
3.6%
구 1069
 
3.5%
역 1060
 
3.5%
Other values (325) 9039
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18534
61.3%
Other Punctuation 6216
 
20.5%
Space Separator 5310
 
17.6%
Uppercase Letter 92
 
0.3%
Dash Punctuation 85
 
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 1550
 
8.4%
부 1503
 
8.1%
동 1285
 
6.9%
광 1091
 
5.9%
호 1086
 
5.9%
시 1074
 
5.8%
구 1069
 
5.8%
역 1060
 
5.7%
지 1022
 
5.5%
번 967
 
5.2%
Other values (300) 6827
36.8%
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%
I 2
 
2.2%
A 2
 
2.2%
H 2
 
2.2%
C 2
 
2.2%
Other values (5) 5
 
5.4%
Other Punctuation
ValueCountFrequency (%)
* 6186
99.5%
, 22
 
0.4%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
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 18534
61.3%
Common 11624
38.4%
Latin 95
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1550
 
8.4%
부 1503
 
8.1%
동 1285
 
6.9%
광 1091
 
5.9%
호 1086
 
5.9%
시 1074
 
5.8%
구 1069
 
5.8%
역 1060
 
5.7%
지 1022
 
5.5%
번 967
 
5.2%
Other values (300) 6827
36.8%
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%
I 2
 
2.1%
A 2
 
2.1%
H 2
 
2.1%
Other values (6) 7
 
7.4%
Common
ValueCountFrequency (%)
* 6186
53.2%
5310
45.7%
- 85
 
0.7%
, 22
 
0.2%
/ 7
 
0.1%
( 5
 
< 0.1%
) 5
 
< 0.1%
~ 3
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18534
61.3%
ASCII 11719
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6186
52.8%
5310
45.3%
- 85
 
0.7%
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 1550
 
8.4%
부 1503
 
8.1%
동 1285
 
6.9%
광 1091
 
5.9%
호 1086
 
5.9%
시 1074
 
5.8%
구 1069
 
5.8%
역 1060
 
5.7%
지 1022
 
5.5%
번 967
 
5.2%
Other values (300) 6827
36.8%

도로명전체주소
Text

MISSING 

Distinct1038
Distinct (%)85.0%
Missing67
Missing (%)5.2%
Memory size10.2 KiB
2024-04-17T15:07:57.933575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length33.200655
Min length21

Characters and Unicode

Total characters40538
Distinct characters365
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique907 ?
Unique (%)74.3%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 충장대로*번길 **-*, *층 (중앙동*가)
3rd row부산광역시 중구 충장대로*번길 **-*, ***호 (중앙동*가)
4th row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
5th row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
ValueCountFrequency (%)
1249
16.7%
부산광역시 1221
16.4%
층 478
 
6.4%
호 371
 
5.0%
부산진구 359
 
4.8%
중앙대로 247
 
3.3%
연제구 197
 
2.6%
해운대구 111
 
1.5%
연산동 103
 
1.4%
금정구 88
 
1.2%
Other values (1022) 3036
40.7%
2024-04-17T15:07:58.327842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6317
 
15.6%
6246
 
15.4%
산 1813
 
4.5%
부 1797
 
4.4%
동 1602
 
4.0%
, 1329
 
3.3%
시 1280
 
3.2%
광 1275
 
3.1%
구 1233
 
3.0%
역 1224
 
3.0%
Other values (355) 16422
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23950
59.1%
Other Punctuation 7653
 
18.9%
Space Separator 6246
 
15.4%
Open Punctuation 1211
 
3.0%
Close Punctuation 1211
 
3.0%
Uppercase Letter 130
 
0.3%
Dash Punctuation 124
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1813
 
7.6%
부 1797
 
7.5%
동 1602
 
6.7%
시 1280
 
5.3%
광 1275
 
5.3%
구 1233
 
5.1%
역 1224
 
5.1%
로 1223
 
5.1%
대 711
 
3.0%
층 608
 
2.5%
Other values (328) 11184
46.7%
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%
V 3
 
2.3%
Other values (6) 12
 
9.2%
Other Punctuation
ValueCountFrequency (%)
* 6317
82.5%
, 1329
 
17.4%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
k 2
 
22.2%
t 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6246
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23950
59.1%
Common 16449
40.6%
Latin 139
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1813
 
7.6%
부 1797
 
7.5%
동 1602
 
6.7%
시 1280
 
5.3%
광 1275
 
5.3%
구 1233
 
5.1%
역 1224
 
5.1%
로 1223
 
5.1%
대 711
 
3.0%
층 608
 
2.5%
Other values (328) 11184
46.7%
Latin
ValueCountFrequency (%)
T 36
25.9%
K 36
25.9%
B 13
 
9.4%
S 8
 
5.8%
O 6
 
4.3%
e 5
 
3.6%
A 5
 
3.6%
C 5
 
3.6%
W 3
 
2.2%
E 3
 
2.2%
Other values (9) 19
13.7%
Common
ValueCountFrequency (%)
* 6317
38.4%
6246
38.0%
, 1329
 
8.1%
( 1211
 
7.4%
) 1211
 
7.4%
- 124
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23950
59.1%
ASCII 16588
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6317
38.1%
6246
37.7%
, 1329
 
8.0%
( 1211
 
7.3%
) 1211
 
7.3%
- 124
 
0.7%
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 1813
 
7.6%
부 1797
 
7.5%
동 1602
 
6.7%
시 1280
 
5.3%
광 1275
 
5.3%
구 1233
 
5.1%
역 1224
 
5.1%
로 1223
 
5.1%
대 711
 
3.0%
층 608
 
2.5%
Other values (328) 11184
46.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct375
Distinct (%)58.0%
Missing642
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean318397.94
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:58.446396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46275
Q147540
median48936.5
Q3612047.5
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)564507.5

Descriptive statistics

Standard deviation282220.25
Coefficient of variation (CV)0.88637585
Kurtosis-1.9991919
Mean318397.94
Median Absolute Deviation (MAD)2732.5
Skewness0.081052653
Sum2.0568507 × 108
Variance7.9648267 × 1010
MonotonicityNot monotonic
2024-04-17T15:07:58.575028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 19
 
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%
614776 6
 
0.5%
611831 6
 
0.5%
614843 6
 
0.5%
Other values (365) 544
42.2%
(Missing) 642
49.8%
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

Distinct1232
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-17T15:07:58.819039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.7507764
Min length1

Characters and Unicode

Total characters9983
Distinct characters495
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

Unique1181 ?
Unique (%)91.7%

Sample

1st row코어(CORE)
2nd row(주) 탑아이티텔레콤
3rd row주식회사 보우정보
4th row(주)두성크리에이터
5th row(주)야마야푸즈서비스
ValueCountFrequency (%)
주식회사 185
 
11.3%
주 11
 
0.7%
부산지점 5
 
0.3%
주)티브로드 5
 
0.3%
대부중개 5
 
0.3%
유한회사 4
 
0.2%
모바일 4
 
0.2%
농업회사법인 4
 
0.2%
korea 3
 
0.2%
정보통신 3
 
0.2%
Other values (1313) 1401
86.0%
2024-04-17T15:07:59.146082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 684
 
6.9%
( 518
 
5.2%
) 518
 
5.2%
345
 
3.5%
이 310
 
3.1%
사 260
 
2.6%
스 249
 
2.5%
회 234
 
2.3%
식 211
 
2.1%
신 161
 
1.6%
Other values (485) 6493
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8170
81.8%
Open Punctuation 518
 
5.2%
Close Punctuation 518
 
5.2%
Space Separator 345
 
3.5%
Uppercase Letter 253
 
2.5%
Lowercase Letter 95
 
1.0%
Other Punctuation 50
 
0.5%
Decimal Number 21
 
0.2%
Other Symbol 12
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 684
 
8.4%
이 310
 
3.8%
사 260
 
3.2%
스 249
 
3.0%
회 234
 
2.9%
식 211
 
2.6%
신 161
 
2.0%
통 160
 
2.0%
부 136
 
1.7%
정 131
 
1.6%
Other values (423) 5634
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.7%
M 20
 
7.9%
T 17
 
6.7%
C 17
 
6.7%
K 15
 
5.9%
A 14
 
5.5%
I 14
 
5.5%
L 13
 
5.1%
B 13
 
5.1%
O 12
 
4.7%
Other values (16) 96
37.9%
Lowercase Letter
ValueCountFrequency (%)
o 14
14.7%
i 12
12.6%
n 11
11.6%
e 8
8.4%
s 8
8.4%
t 6
 
6.3%
u 5
 
5.3%
d 5
 
5.3%
c 5
 
5.3%
l 4
 
4.2%
Other values (11) 17
17.9%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
0 4
19.0%
2 3
 
14.3%
7 2
 
9.5%
5 2
 
9.5%
4 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 518
100.0%
Close Punctuation
ValueCountFrequency (%)
) 518
100.0%
Space Separator
ValueCountFrequency (%)
345
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8182
82.0%
Common 1453
 
14.6%
Latin 348
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 684
 
8.4%
이 310
 
3.8%
사 260
 
3.2%
스 249
 
3.0%
회 234
 
2.9%
식 211
 
2.6%
신 161
 
2.0%
통 160
 
2.0%
부 136
 
1.7%
정 131
 
1.6%
Other values (424) 5646
69.0%
Latin
ValueCountFrequency (%)
S 22
 
6.3%
M 20
 
5.7%
T 17
 
4.9%
C 17
 
4.9%
K 15
 
4.3%
A 14
 
4.0%
I 14
 
4.0%
o 14
 
4.0%
L 13
 
3.7%
B 13
 
3.7%
Other values (37) 189
54.3%
Common
ValueCountFrequency (%)
( 518
35.7%
) 518
35.7%
345
23.7%
. 24
 
1.7%
& 20
 
1.4%
1 8
 
0.6%
0 4
 
0.3%
/ 4
 
0.3%
2 3
 
0.2%
, 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8170
81.8%
ASCII 1801
 
18.0%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 684
 
8.4%
이 310
 
3.8%
사 260
 
3.2%
스 249
 
3.0%
회 234
 
2.9%
식 211
 
2.6%
신 161
 
2.0%
통 160
 
2.0%
부 136
 
1.7%
정 131
 
1.6%
Other values (423) 5634
69.0%
ASCII
ValueCountFrequency (%)
( 518
28.8%
) 518
28.8%
345
19.2%
. 24
 
1.3%
S 22
 
1.2%
& 20
 
1.1%
M 20
 
1.1%
T 17
 
0.9%
C 17
 
0.9%
K 15
 
0.8%
Other values (51) 285
15.8%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141939 × 1013
Minimum2.0070731 × 1013
Maximum2.0220128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:59.263321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080825 × 1013
Q12.0110379 × 1013
median2.0140822 × 1013
Q32.0170708 × 1013
95-th percentile2.0210282 × 1013
Maximum2.0220128 × 1013
Range1.4939699 × 1011
Interquartile range (IQR)6.0329515 × 1010

Descriptive statistics

Standard deviation3.9332044 × 1010
Coefficient of variation (CV)0.0019527437
Kurtosis-1.0208646
Mean2.0141939 × 1013
Median Absolute Deviation (MAD)3.0197513 × 1010
Skewness0.090207262
Sum2.5942818 × 1016
Variance1.5470097 × 1021
MonotonicityNot monotonic
2024-04-17T15:07:59.381245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20130213142343 1
 
0.1%
20210208172843 1
 
0.1%
20210107113348 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%
Other values (1278) 1278
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 (%)
20220128134520 1
0.1%
20220125114812 1
0.1%
20220124164454 1
0.1%
20220114110202 1
0.1%
20220107175926 1
0.1%
20220107175840 1
0.1%
20220107155946 1
0.1%
20220107110622 1
0.1%
20220106213032 1
0.1%
20211220165336 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
I
1126 
U
162 

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 1126
87.4%
U 162
 
12.6%

Length

2024-04-17T15:07:59.495822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:07:59.573566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1126
87.4%
u 162
 
12.6%

데이터갱신일자
Date

Distinct217
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-30 02:40:00
2024-04-17T15:07:59.674971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:07:59.791415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1288
Missing (%)100.0%
Memory size11.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct808
Distinct (%)65.2%
Missing48
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean388720.73
Minimum373571.48
Maximum407471.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:07:59.899975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile380978.11
Q1387469.58
median388641.59
Q3390061.87
95-th percentile395496.92
Maximum407471.57
Range33900.093
Interquartile range (IQR)2592.2851

Descriptive statistics

Standard deviation4063.5741
Coefficient of variation (CV)0.010453711
Kurtosis2.9318667
Mean388720.73
Median Absolute Deviation (MAD)1289.1563
Skewness0.30676341
Sum4.8201371 × 108
Variance16512635
MonotonicityNot monotonic
2024-04-17T15:08:00.087870image/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
 
0.9%
393790.344709358 8
 
0.6%
388798.742326259 8
 
0.6%
392859.978697383 8
 
0.6%
395615.201853958 7
 
0.5%
389763.458430383 7
 
0.5%
Other values (798) 1121
87.0%
(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 

Distinct807
Distinct (%)65.1%
Missing48
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean187878.51
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:00.238058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180726.69
Q1185582.27
median187658.4
Q3189714.55
95-th percentile195838.53
Maximum206343.36
Range31416.7
Interquartile range (IQR)4132.2766

Descriptive statistics

Standard deviation4368.6485
Coefficient of variation (CV)0.023252518
Kurtosis1.9406112
Mean187878.51
Median Absolute Deviation (MAD)2063.552
Skewness0.62226899
Sum2.3296936 × 108
Variance19085090
MonotonicityNot monotonic
2024-04-17T15:08:00.674308image/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
 
0.9%
188235.889521484 8
 
0.6%
188328.743910701 8
 
0.6%
187523.604270761 8
 
0.6%
186406.750870936 7
 
0.5%
189676.126925582 7
 
0.5%
Other values (797) 1121
87.0%
(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%
176893.324496578 1
 
0.1%
177436.655876843 1
 
0.1%
177507.608774077 1
 
0.1%
177623.034608355 3
0.2%
177937.719813596 2
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 

Distinct297
Distinct (%)40.8%
Missing560
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean8.9872999 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros85
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:00.790924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median50000000
Q33 × 108
95-th percentile4.9013171 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.8 × 108

Descriptive statistics

Standard deviation2.1656878 × 1012
Coefficient of variation (CV)24.097202
Kurtosis719.6215
Mean8.9872999 × 1010
Median Absolute Deviation (MAD)50000000
Skewness26.758778
Sum6.5427543 × 1013
Variance4.6902035 × 1024
MonotonicityNot monotonic
2024-04-17T15:08:00.922965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 152
 
11.8%
0 85
 
6.6%
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%
5000000 8
 
0.6%
Other values (287) 313
24.3%
(Missing) 560
43.5%
ValueCountFrequency (%)
0 85
6.6%
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 

Distinct262
Distinct (%)36.1%
Missing563
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean8.0284006 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros428
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:01.048961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.3136825 × 108
95-th percentile3.6627916 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.3136825 × 108

Descriptive statistics

Standard deviation1.9739986 × 1012
Coefficient of variation (CV)24.587695
Kurtosis717.43255
Mean8.0284006 × 1010
Median Absolute Deviation (MAD)0
Skewness26.72431
Sum5.8205904 × 1013
Variance3.8966706 × 1024
MonotonicityNot monotonic
2024-04-17T15:08:01.184169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 428
33.2%
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%
16011376981 2
 
0.2%
55000000 2
 
0.2%
Other values (252) 253
19.6%
(Missing) 563
43.7%
ValueCountFrequency (%)
0 428
33.2%
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 

Distinct146
Distinct (%)20.1%
Missing562
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean9.0694059 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros44
Zeros (%)3.4%
Negative4
Negative (%)0.3%
Memory size11.4 KiB
2024-04-17T15:08:01.328313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q120000000
median50000000
Q31.2986507 × 108
95-th percentile1.0375 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)1.0986507 × 108

Descriptive statistics

Standard deviation1.9708472 × 1011
Coefficient of variation (CV)21.73072
Kurtosis695.38973
Mean9.0694059 × 109
Median Absolute Deviation (MAD)40000000
Skewness26.156474
Sum6.5843887 × 1012
Variance3.8842388 × 1022
MonotonicityNot monotonic
2024-04-17T15:08:01.476831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 240
18.6%
10000000 69
 
5.4%
100000000 54
 
4.2%
0 44
 
3.4%
150000000 38
 
3.0%
30000000 30
 
2.3%
20000000 26
 
2.0%
300000000 19
 
1.5%
1000000 14
 
1.1%
5000000 11
 
0.9%
Other values (136) 181
 
14.1%
(Missing) 562
43.6%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-30721315 1
 
0.1%
-7981168 1
 
0.1%
0 44
3.4%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
243888 1
 
0.1%
250000 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 

Missing1288
Missing (%)100.0%
Memory size11.4 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1288
Missing (%)100.0%
Memory size11.4 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_P3250000202132501452420000120210415<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동*가 **-*부산광역시 중구 충장대로*번길 **-*, ***호 (중앙동*가)48937주식회사 보우정보20210415164804I2021-04-17 00:22:58.0<NA>385737.128798180747.48756650000000050000000<NA><NA>
34전화권유판매업08_26_03_P3250000200832500592420000120080416<NA>3폐업3폐업처리20100331<NA><NA><NA>051 710 0088<NA>600012부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)<NA>(주)두성크리에이터20100331155844I2018-08-31 23:59:59.0<NA>385568.38851179981.05839450000000050000000<NA><NA>
45전화권유판매업08_26_03_P3250000200732500592420003220070507<NA>3폐업3폐업처리20090310<NA><NA><NA>051 465 2480<NA>600714부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)<NA>(주)야마야푸즈서비스20090311134734I2018-08-31 23:59:59.0<NA>385666.280865179774.15839628859957589283668222000000000<NA><NA>
56전화권유판매업08_26_03_P3250000200932500832420000120080414<NA>3폐업3폐업처리20101123<NA><NA><NA><NA><NA>600816부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층부산광역시 중구 중앙대로 *** (중앙동*가)600816(주)텔라이브20111030143121I2018-08-31 23:59:59.0<NA>385709.21692180842.067771430355559118420371100000000<NA><NA>
67전화권유판매업08_26_03_P3250000201332500832420000120130509<NA>3폐업3폐업처리20201228<NA><NA><NA>051-463-3556<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)600815한국사진기자협회 영남지사20201228141512U2020-12-30 02:40:00.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
78전화권유판매업08_26_03_P3250000200732500592420003420070716<NA>3폐업3폐업처리20080125<NA><NA><NA>051 441 2905<NA>600721부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,흥우빌딩 *층)<NA>(주)유니원20080125141937I2018-08-31 23:59:59.0<NA>385614.928478180471.183034877495656549881097350000000<NA><NA>
89전화권유판매업08_26_03_P3250000201332500832420000220130621<NA>3폐업3폐업처리20141231<NA><NA><NA>051-464-5288<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보부산사옥)600815한국조사기자협회 영남지부20141231101215I2018-08-31 23:59:59.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
910전화권유판매업08_26_03_P3250000200832500592420000320080428<NA>3폐업3폐업처리20080826<NA><NA><NA>051 711 3000<NA>600723부산광역시 중구 중앙동*가 **번지 **호 정석빌딩 ***호부산광역시 중구 중앙대로 **, ***호 (중앙동*가,정석빌딩)<NA>(주)대광인베스트20080826151327I2018-08-31 23:59:59.0<NA>385616.660201180406.241288319817275329852750000000<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12781279전화권유판매업08_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>
12791280전화권유판매업08_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>
12801281전화권유판매업08_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>
12811282전화권유판매업08_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>
12821283전화권유판매업08_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>
12831284전화권유판매업08_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>
12841285전화권유판매업08_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>
12851286전화권유판매업08_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>
12861287전화권유판매업08_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>
12871288전화권유판매업08_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>