Overview

Dataset statistics

Number of variables33
Number of observations1280
Missing cells12513
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory358.9 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2021-11-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123127

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
재개업일자 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 1224 (95.6%) missing valuesMissing
폐업일자 has 261 (20.4%) missing valuesMissing
휴업시작일자 has 1264 (98.8%) missing valuesMissing
휴업종료일자 has 1264 (98.8%) missing valuesMissing
소재지전화 has 183 (14.3%) missing valuesMissing
소재지면적 has 1280 (100.0%) missing valuesMissing
소재지우편번호 has 458 (35.8%) missing valuesMissing
소재지전체주소 has 231 (18.0%) missing valuesMissing
도로명전체주소 has 67 (5.2%) missing valuesMissing
도로명우편번호 has 642 (50.2%) missing valuesMissing
업태구분명 has 1280 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.8%) missing valuesMissing
좌표정보(y) has 48 (3.8%) missing valuesMissing
자산규모 has 566 (44.2%) missing valuesMissing
부채총액 has 569 (44.5%) missing valuesMissing
자본금 has 568 (44.4%) missing valuesMissing
판매방식명 has 1280 (100.0%) missing valuesMissing
Unnamed: 32 has 1280 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 26.5002279)Skewed
부채총액 is highly skewed (γ1 = 26.4650158)Skewed
자본금 is highly skewed (γ1 = 25.90302883)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 75 (5.9%) zerosZeros
부채총액 has 416 (32.5%) zerosZeros
자본금 has 34 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-17 06:08:35.794005
Analysis finished2024-04-17 06:08:36.524424
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean640.5
Minimum1
Maximum1280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:36.579614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.95
Q1320.75
median640.5
Q3960.25
95-th percentile1216.05
Maximum1280
Range1279
Interquartile range (IQR)639.5

Descriptive statistics

Standard deviation369.64848
Coefficient of variation (CV)0.57712487
Kurtosis-1.2
Mean640.5
Median Absolute Deviation (MAD)320
Skewness0
Sum819840
Variance136640
MonotonicityStrictly increasing
2024-04-17T15:08:36.694092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
642 1
 
0.1%
860 1
 
0.1%
859 1
 
0.1%
858 1
 
0.1%
857 1
 
0.1%
856 1
 
0.1%
855 1
 
0.1%
854 1
 
0.1%
853 1
 
0.1%
Other values (1270) 1270
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 (%)
1280 1
0.1%
1279 1
0.1%
1278 1
0.1%
1277 1
0.1%
1276 1
0.1%
1275 1
0.1%
1274 1
0.1%
1273 1
0.1%
1272 1
0.1%
1271 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
전화권유판매업
1280 

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 1280
100.0%

Length

2024-04-17T15:08:36.805912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:36.882823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1280
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
08_26_03_P
1280 

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 1280
100.0%

Length

2024-04-17T15:08:36.967661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:37.056032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1280
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322851.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:37.128194image/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 deviation39534.941
Coefficient of variation (CV)0.011897896
Kurtosis-1.2242026
Mean3322851.6
Median Absolute Deviation (MAD)20000
Skewness0.26077288
Sum4.25325 × 109
Variance1.5630116 × 109
MonotonicityNot monotonic
2024-04-17T15:08:37.222813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 369
28.8%
3370000 198
15.5%
3330000 116
 
9.1%
3300000 107
 
8.4%
3350000 88
 
6.9%
3270000 87
 
6.8%
3380000 73
 
5.7%
3390000 46
 
3.6%
3310000 44
 
3.4%
3320000 40
 
3.1%
Other values (6) 112
 
8.8%
ValueCountFrequency (%)
3250000 27
 
2.1%
3260000 7
 
0.5%
3270000 87
 
6.8%
3280000 7
 
0.5%
3290000 369
28.8%
3300000 107
 
8.4%
3310000 44
 
3.4%
3320000 40
 
3.1%
3330000 116
 
9.1%
3340000 37
 
2.9%
ValueCountFrequency (%)
3400000 21
 
1.6%
3390000 46
 
3.6%
3380000 73
 
5.7%
3370000 198
15.5%
3360000 13
 
1.0%
3350000 88
6.9%
3340000 37
 
2.9%
3330000 116
9.1%
3320000 40
 
3.1%
3310000 44
 
3.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011937 × 1018
Minimum2.002329 × 1018
Maximum2.02134 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:37.331589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.006325 × 1018
Q12.00833 × 1018
median2.011329 × 1018
Q32.015329 × 1018
95-th percentile2.0203321 × 1018
Maximum2.02134 × 1018
Range1.9011002 × 1016
Interquartile range (IQR)6.9990043 × 1015

Descriptive statistics

Standard deviation4.3814237 × 1015
Coefficient of variation (CV)0.0021777142
Kurtosis-0.71641352
Mean2.011937 × 1018
Median Absolute Deviation (MAD)3.0020008 × 1015
Skewness0.46633992
Sum-7.2648344 × 1018
Variance1.9196873 × 1031
MonotonicityNot monotonic
2024-04-17T15:08:37.693017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2007325005924200035 1
 
0.1%
2007329008524200004 1
 
0.1%
2016327008624200004 1
 
0.1%
2014327008624200005 1
 
0.1%
2014327008624200004 1
 
0.1%
2014327008624200001 1
 
0.1%
2013327008624200006 1
 
0.1%
2013327008624200004 1
 
0.1%
2013327008624200003 1
 
0.1%
2011327008624200006 1
 
0.1%
Other values (1270) 1270
99.2%
ValueCountFrequency (%)
2002329008524200001 1
0.1%
2002329008524200006 1
0.1%
2002333008224200001 1
0.1%
2003329008524200011 1
0.1%
2003333008224200001 1
0.1%
2004325005924200015 1
0.1%
2004325005924200016 1
0.1%
2004329008524200005 1
0.1%
2004329008524200007 1
0.1%
2004329008524200008 1
0.1%
ValueCountFrequency (%)
2021340010924200003 1
0.1%
2021340010924200002 1
0.1%
2021340010924200001 1
0.1%
2021339010924200004 1
0.1%
2021339010924200003 1
0.1%
2021339010924200002 1
0.1%
2021337010624200004 1
0.1%
2021337010624200003 1
0.1%
2021337010624200002 1
0.1%
2021337010624200001 1
0.1%

인허가일자
Real number (ℝ)

Distinct1008
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112664
Minimum20020820
Maximum20210928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:37.818415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050915
Q120080413
median20105663
Q320141022
95-th percentile20200205
Maximum20210928
Range190108
Interquartile range (IQR)60608.5

Descriptive statistics

Standard deviation44464.557
Coefficient of variation (CV)0.0022107741
Kurtosis-0.63788802
Mean20112664
Median Absolute Deviation (MAD)34548
Skewness0.45517234
Sum2.5744211 × 1010
Variance1.9770968 × 109
MonotonicityNot monotonic
2024-04-17T15:08:37.934935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080527 8
 
0.6%
20080826 8
 
0.6%
20080526 6
 
0.5%
20120106 5
 
0.4%
20150304 5
 
0.4%
20161013 5
 
0.4%
20070521 4
 
0.3%
20111020 4
 
0.3%
20080320 4
 
0.3%
20080428 4
 
0.3%
Other values (998) 1227
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 (%)
20210928 1
0.1%
20210901 1
0.1%
20210810 2
0.2%
20210719 1
0.1%
20210705 1
0.1%
20210625 1
0.1%
20210616 1
0.1%
20210607 1
0.1%
20210604 2
0.2%
20210603 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1224
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:38.043704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070706
5-th percentile20071218
Q120080908
median20100370
Q320101206
95-th percentile20123534
Maximum20131218
Range60512
Interquartile range (IQR)20298.5

Descriptive statistics

Standard deviation16147.133
Coefficient of variation (CV)0.00080361792
Kurtosis-0.14119674
Mean20093048
Median Absolute Deviation (MAD)10138
Skewness0.45152819
Sum1.1252107 × 109
Variance2.6072992 × 108
MonotonicityNot monotonic
2024-04-17T15:08:38.146499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20100514 8
 
0.6%
20101231 6
 
0.5%
20071218 4
 
0.3%
20081226 4
 
0.3%
20090805 3
 
0.2%
20100422 3
 
0.2%
20080908 3
 
0.2%
20071226 3
 
0.2%
20071220 2
 
0.2%
20091112 2
 
0.2%
Other values (15) 18
 
1.4%
(Missing) 1224
95.6%
ValueCountFrequency (%)
20070706 1
 
0.1%
20071218 4
0.3%
20071220 2
0.2%
20071226 3
0.2%
20080522 2
0.2%
20080908 3
0.2%
20080917 2
0.2%
20081211 1
 
0.1%
20081226 4
0.3%
20090805 3
0.2%
ValueCountFrequency (%)
20131218 1
 
0.1%
20130617 1
 
0.1%
20130522 1
 
0.1%
20121205 2
 
0.2%
20110610 1
 
0.1%
20110405 1
 
0.1%
20101231 6
0.5%
20101208 1
 
0.1%
20101206 1
 
0.1%
20100927 1
 
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
3
625 
4
449 
1
194 
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 625
48.8%
4 449
35.1%
1 194
 
15.2%
2 12
 
0.9%

Length

2024-04-17T15:08:38.252179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:38.333909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 625
48.8%
4 449
35.1%
1 194
 
15.2%
2 12
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
폐업
625 
취소/말소/만료/정지/중지
449 
영업/정상
194 
휴업
 
12

Length

Max length14
Median length5
Mean length6.6640625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 625
48.8%
취소/말소/만료/정지/중지 449
35.1%
영업/정상 194
 
15.2%
휴업 12
 
0.9%

Length

2024-04-17T15:08:38.428315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:38.513773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 625
48.8%
취소/말소/만료/정지/중지 449
35.1%
영업/정상 194
 
15.2%
휴업 12
 
0.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
3
625 
7
390 
1
194 
4
 
59
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
3 625
48.8%
7 390
30.5%
1 194
 
15.2%
4 59
 
4.6%
2 12
 
0.9%

Length

2024-04-17T15:08:38.604646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:38.690310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 625
48.8%
7 390
30.5%
1 194
 
15.2%
4 59
 
4.6%
2 12
 
0.9%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
폐업처리
625 
직권말소
390 
정상영업
194 
직권취소
 
59
휴업처리
 
12

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직권말소
2nd row직권말소
3rd row직권말소
4th row직권말소
5th row직권말소

Common Values

ValueCountFrequency (%)
폐업처리 625
48.8%
직권말소 390
30.5%
정상영업 194
 
15.2%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

Length

2024-04-17T15:08:38.789614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:38.875326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 625
48.8%
직권말소 390
30.5%
정상영업 194
 
15.2%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct626
Distinct (%)61.4%
Missing261
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean20130805
Minimum20070604
Maximum20210929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:38.975022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080520
Q120100519
median20130724
Q320160323
95-th percentile20190912
Maximum20210929
Range140325
Interquartile range (IQR)59804

Descriptive statistics

Standard deviation34620.899
Coefficient of variation (CV)0.0017197971
Kurtosis-0.86055253
Mean20130805
Median Absolute Deviation (MAD)29890
Skewness0.2020915
Sum2.051329 × 1010
Variance1.1986067 × 109
MonotonicityNot monotonic
2024-04-17T15:08:39.096639image/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%
20150327 9
 
0.7%
20101231 9
 
0.7%
Other values (616) 904
70.6%
(Missing) 261
 
20.4%
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 (%)
20210929 1
0.1%
20210907 1
0.1%
20210706 1
0.1%
20210630 1
0.1%
20210615 1
0.1%
20210612 1
0.1%
20210528 1
0.1%
20210524 1
0.1%
20210503 1
0.1%
20201228 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing1264
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20167015
Minimum20090226
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:39.201581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090226
5-th percentile20098398
Q120153370
median20180469
Q320190536
95-th percentile20200931
Maximum20201231
Range111005
Interquartile range (IQR)37167

Descriptive statistics

Standard deviation35167.287
Coefficient of variation (CV)0.0017438023
Kurtosis0.32504946
Mean20167015
Median Absolute Deviation (MAD)15187.5
Skewness-1.1756556
Sum3.2267224 × 108
Variance1.236738 × 109
MonotonicityNot monotonic
2024-04-17T15:08:39.296486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20180511 1
 
0.1%
20171219 1
 
0.1%
20200103 1
 
0.1%
20191210 1
 
0.1%
20181031 1
 
0.1%
20160819 1
 
0.1%
20190227 1
 
0.1%
20131021 1
 
0.1%
20101122 1
 
0.1%
20201231 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1264
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 (%)
20201231 1
0.1%
20200831 1
0.1%
20200103 1
0.1%
20191210 1
0.1%
20190312 1
0.1%
20190227 1
0.1%
20181031 1
0.1%
20180511 1
0.1%
20180427 1
0.1%
20171219 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing1264
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20180806
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:39.400519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090630
5-th percentile20105548
Q120156177
median20190720
Q320210630
95-th percentile20233128
Maximum20241231
Range150601
Interquartile range (IQR)54453

Descriptive statistics

Standard deviation42726.298
Coefficient of variation (CV)0.002117175
Kurtosis-0.040181615
Mean20180806
Median Absolute Deviation (MAD)24699.5
Skewness-0.67821846
Sum3.228929 × 108
Variance1.8255365 × 109
MonotonicityNot monotonic
2024-04-17T15:08:39.491291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20191231 2
 
0.2%
20210630 2
 
0.2%
20141015 1
 
0.1%
20110521 1
 
0.1%
20140826 1
 
0.1%
20090630 1
 
0.1%
20230427 1
 
0.1%
20181121 1
 
0.1%
20190511 1
 
0.1%
20161231 1
 
0.1%
Other values (4) 4
 
0.3%
(Missing) 1264
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%
20210630 2
0.2%
20191231 2
0.2%
20190930 1
0.1%
20190511 1
0.1%
20181121 1
0.1%
20180531 1
0.1%
20161231 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
1276 
20060126
 
1
20100217
 
1
20090724
 
1
20200312
 
1

Length

Max length8
Median length4
Mean length4.0125
Min length4

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1276
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20090724 1
 
0.1%
20200312 1
 
0.1%

Length

2024-04-17T15:08:39.614503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:39.713315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1276
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20090724 1
 
0.1%
20200312 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1022
Distinct (%)93.2%
Missing183
Missing (%)14.3%
Memory size10.1 KiB
2024-04-17T15:08:39.928104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.90155
Min length1

Characters and Unicode

Total characters11959
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

Unique955 ?
Unique (%)87.1%

Sample

1st row051 466 3267
2nd row051 462 9289
3rd row051 906 7000
4th row051 247 0847
5th row051 246 1500
ValueCountFrequency (%)
051 97
 
7.5%
711 6
 
0.5%
853 5
 
0.4%
051-747-5044 4
 
0.3%
861 4
 
0.3%
851 4
 
0.3%
868 4
 
0.3%
906 4
 
0.3%
517 4
 
0.3%
465 4
 
0.3%
Other values (1066) 1156
89.5%
2024-04-17T15:08:40.262443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2164
18.1%
1 1598
13.4%
- 1586
13.3%
5 1518
12.7%
8 848
 
7.1%
7 819
 
6.8%
6 772
 
6.5%
9 638
 
5.3%
3 617
 
5.2%
4 615
 
5.1%
Other values (6) 784
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10160
85.0%
Dash Punctuation 1586
 
13.3%
Space Separator 195
 
1.6%
Close Punctuation 12
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2164
21.3%
1 1598
15.7%
5 1518
14.9%
8 848
 
8.3%
7 819
 
8.1%
6 772
 
7.6%
9 638
 
6.3%
3 617
 
6.1%
4 615
 
6.1%
2 571
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1586
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 11959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2164
18.1%
1 1598
13.4%
- 1586
13.3%
5 1518
12.7%
8 848
 
7.1%
7 819
 
6.8%
6 772
 
6.5%
9 638
 
5.3%
3 617
 
5.2%
4 615
 
5.1%
Other values (6) 784
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2164
18.1%
1 1598
13.4%
- 1586
13.3%
5 1518
12.7%
8 848
 
7.1%
7 819
 
6.8%
6 772
 
6.5%
9 638
 
5.3%
3 617
 
5.2%
4 615
 
5.1%
Other values (6) 784
 
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1280
Missing (%)100.0%
Memory size11.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing458
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:40.387353image/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
2024-04-17T15:08:40.508538image/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%
612020 26
 
2.0%
614040 26
 
2.0%
611080 24
 
1.9%
614020 21
 
1.6%
611839 18
 
1.4%
613100 14
 
1.1%
607010 13
 
1.0%
Other values (241) 567
44.3%
(Missing) 458
35.8%
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 

Distinct793
Distinct (%)75.6%
Missing231
Missing (%)18.0%
Memory size10.1 KiB
2024-04-17T15:08:40.763420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.668255
Min length12

Characters and Unicode

Total characters30073
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

Unique666 ?
Unique (%)63.5%

Sample

1st row부산광역시 중구 중앙동*가 **번지 *호 KT중부지점 *층
2nd row부산광역시 중구 중앙동*가 **번지 **호 정석빌딩 ***호
3rd row부산광역시 중구 중앙동*가 **번지 **호 대한통운빌딩 ****호
4th row부산광역시 중구 보수동*가 **번지 **호
5th row부산광역시 중구 부평동*가 **번지 *호 골든시티오피스텔 ***호
ValueCountFrequency (%)
호 1062
16.8%
부산광역시 1048
16.6%
번지 968
15.3%
층 336
 
5.3%
부산진구 291
 
4.6%
연제구 182
 
2.9%
연산동 125
 
2.0%
101
 
1.6%
동래구 92
 
1.5%
부전동 89
 
1.4%
Other values (600) 2015
31.9%
2024-04-17T15:08:41.147526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6136
20.4%
5284
17.6%
산 1540
 
5.1%
부 1493
 
5.0%
동 1277
 
4.2%
호 1086
 
3.6%
광 1083
 
3.6%
시 1066
 
3.5%
구 1059
 
3.5%
역 1052
 
3.5%
Other values (326) 8997
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18440
61.3%
Other Punctuation 6166
 
20.5%
Space Separator 5284
 
17.6%
Uppercase Letter 92
 
0.3%
Dash Punctuation 75
 
0.2%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1540
 
8.4%
부 1493
 
8.1%
동 1277
 
6.9%
호 1086
 
5.9%
광 1083
 
5.9%
시 1066
 
5.8%
구 1059
 
5.7%
역 1052
 
5.7%
지 1022
 
5.5%
번 969
 
5.3%
Other values (301) 6793
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%
H 2
 
2.2%
C 2
 
2.2%
A 2
 
2.2%
Other values (5) 5
 
5.4%
Other Punctuation
ValueCountFrequency (%)
* 6136
99.5%
, 22
 
0.4%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18440
61.3%
Common 11538
38.4%
Latin 95
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1540
 
8.4%
부 1493
 
8.1%
동 1277
 
6.9%
호 1086
 
5.9%
광 1083
 
5.9%
시 1066
 
5.8%
구 1059
 
5.7%
역 1052
 
5.7%
지 1022
 
5.5%
번 969
 
5.3%
Other values (301) 6793
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%
H 2
 
2.1%
C 2
 
2.1%
Other values (6) 7
 
7.4%
Common
ValueCountFrequency (%)
* 6136
53.2%
5284
45.8%
- 75
 
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 18440
61.3%
ASCII 11633
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6136
52.7%
5284
45.4%
- 75
 
0.6%
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 1540
 
8.4%
부 1493
 
8.1%
동 1277
 
6.9%
호 1086
 
5.9%
광 1083
 
5.9%
시 1066
 
5.8%
구 1059
 
5.7%
역 1052
 
5.7%
지 1022
 
5.5%
번 969
 
5.3%
Other values (301) 6793
36.8%

도로명전체주소
Text

MISSING 

Distinct1031
Distinct (%)85.0%
Missing67
Missing (%)5.2%
Memory size10.1 KiB
2024-04-17T15:08:41.367814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length33.219291
Min length21

Characters and Unicode

Total characters40295
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

Unique901 ?
Unique (%)74.3%

Sample

1st row부산광역시 중구 중앙대로 *** (중앙동*가,KT중부지점 *층)
2nd row부산광역시 중구 중앙대로 ** (중앙동*가)
3rd row부산광역시 중구 보수대로 ***-* (보수동*가)
4th row부산광역시 중구 보수대로 **, ***호 (부평동*가,골든시티오피스텔)
5th row부산광역시 중구 중앙대로 *** (중앙동*가,KT중부산지점)
ValueCountFrequency (%)
1244
16.8%
부산광역시 1213
16.4%
층 472
 
6.4%
호 370
 
5.0%
부산진구 357
 
4.8%
중앙대로 245
 
3.3%
연제구 197
 
2.7%
해운대구 109
 
1.5%
연산동 103
 
1.4%
동래구 87
 
1.2%
Other values (1018) 3017
40.7%
2024-04-17T15:08:41.722410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6283
 
15.6%
6208
 
15.4%
산 1803
 
4.5%
부 1787
 
4.4%
동 1593
 
4.0%
, 1321
 
3.3%
시 1269
 
3.1%
광 1267
 
3.1%
구 1222
 
3.0%
역 1216
 
3.0%
Other values (355) 16326
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23803
59.1%
Other Punctuation 7611
 
18.9%
Space Separator 6208
 
15.4%
Open Punctuation 1204
 
3.0%
Close Punctuation 1204
 
3.0%
Uppercase Letter 129
 
0.3%
Dash Punctuation 123
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1803
 
7.6%
부 1787
 
7.5%
동 1593
 
6.7%
시 1269
 
5.3%
광 1267
 
5.3%
구 1222
 
5.1%
역 1216
 
5.1%
로 1215
 
5.1%
대 705
 
3.0%
층 602
 
2.5%
Other values (328) 11124
46.7%
Uppercase Letter
ValueCountFrequency (%)
T 36
27.9%
K 36
27.9%
B 13
 
10.1%
S 8
 
6.2%
O 6
 
4.7%
C 5
 
3.9%
A 4
 
3.1%
I 3
 
2.3%
V 3
 
2.3%
W 3
 
2.3%
Other values (6) 12
 
9.3%
Other Punctuation
ValueCountFrequency (%)
* 6283
82.6%
, 1321
 
17.4%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
k 2
 
22.2%
t 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23803
59.1%
Common 16354
40.6%
Latin 138
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1803
 
7.6%
부 1787
 
7.5%
동 1593
 
6.7%
시 1269
 
5.3%
광 1267
 
5.3%
구 1222
 
5.1%
역 1216
 
5.1%
로 1215
 
5.1%
대 705
 
3.0%
층 602
 
2.5%
Other values (328) 11124
46.7%
Latin
ValueCountFrequency (%)
T 36
26.1%
K 36
26.1%
B 13
 
9.4%
S 8
 
5.8%
O 6
 
4.3%
C 5
 
3.6%
e 5
 
3.6%
A 4
 
2.9%
I 3
 
2.2%
V 3
 
2.2%
Other values (9) 19
13.8%
Common
ValueCountFrequency (%)
* 6283
38.4%
6208
38.0%
, 1321
 
8.1%
( 1204
 
7.4%
) 1204
 
7.4%
- 123
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23803
59.1%
ASCII 16492
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6283
38.1%
6208
37.6%
, 1321
 
8.0%
( 1204
 
7.3%
) 1204
 
7.3%
- 123
 
0.7%
T 36
 
0.2%
K 36
 
0.2%
B 13
 
0.1%
S 8
 
< 0.1%
Other values (17) 56
 
0.3%
Hangul
ValueCountFrequency (%)
산 1803
 
7.6%
부 1787
 
7.5%
동 1593
 
6.7%
시 1269
 
5.3%
광 1267
 
5.3%
구 1222
 
5.1%
역 1216
 
5.1%
로 1215
 
5.1%
대 705
 
3.0%
층 602
 
2.5%
Other values (328) 11124
46.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct370
Distinct (%)58.0%
Missing642
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean321799.56
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:41.836624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46277.55
Q147541
median49287.5
Q3612051
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)564510

Descriptive statistics

Standard deviation282334.42
Coefficient of variation (CV)0.87736109
Kurtosis-2.0026092
Mean321799.56
Median Absolute Deviation (MAD)3224
Skewness0.056890163
Sum2.0530812 × 108
Variance7.9712723 × 1010
MonotonicityNot monotonic
2024-04-17T15:08:41.965200image/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%
614843 6
 
0.5%
46569 6
 
0.5%
614776 6
 
0.5%
611820 6
 
0.5%
611831 6
 
0.5%
Other values (360) 536
41.9%
(Missing) 642
50.2%
ValueCountFrequency (%)
46008 1
0.1%
46009 1
0.1%
46019 1
0.1%
46021 1
0.1%
46033 1
0.1%
46036 1
0.1%
46037 1
0.1%
46040 1
0.1%
46060 1
0.1%
46067 1
0.1%
ValueCountFrequency (%)
619906 1
0.1%
619903 2
0.2%
619902 1
0.1%
617844 1
0.1%
617840 2
0.2%
617838 1
0.1%
617833 1
0.1%
617822 1
0.1%
617809 2
0.2%
617808 1
0.1%

사업장명
Text

Distinct1222
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-04-17T15:08:42.176033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.7570312
Min length1

Characters and Unicode

Total characters9929
Distinct characters494
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1169 ?
Unique (%)91.3%

Sample

1st row(주)텔비즈부산지점
2nd row남영
3rd row수호D&C
4th row대일통신
5th row인트데이타
ValueCountFrequency (%)
주식회사 182
 
11.3%
주 11
 
0.7%
주)티브로드 5
 
0.3%
대부중개 5
 
0.3%
부산지점 5
 
0.3%
농업회사법인 4
 
0.2%
유한회사 4
 
0.2%
모바일 4
 
0.2%
스마트넷 3
 
0.2%
부산방송 3
 
0.2%
Other values (1302) 1391
86.0%
2024-04-17T15:08:42.491026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 680
 
6.8%
) 517
 
5.2%
( 517
 
5.2%
340
 
3.4%
이 309
 
3.1%
사 257
 
2.6%
스 247
 
2.5%
회 230
 
2.3%
식 206
 
2.1%
신 160
 
1.6%
Other values (484) 6466
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8125
81.8%
Close Punctuation 517
 
5.2%
Open Punctuation 517
 
5.2%
Space Separator 340
 
3.4%
Uppercase Letter 251
 
2.5%
Lowercase Letter 95
 
1.0%
Other Punctuation 50
 
0.5%
Decimal Number 21
 
0.2%
Other Symbol 12
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 680
 
8.4%
이 309
 
3.8%
사 257
 
3.2%
스 247
 
3.0%
회 230
 
2.8%
식 206
 
2.5%
신 160
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
정 129
 
1.6%
Other values (422) 5613
69.1%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.8%
M 20
 
8.0%
C 17
 
6.8%
T 16
 
6.4%
K 15
 
6.0%
A 14
 
5.6%
L 13
 
5.2%
I 13
 
5.2%
B 13
 
5.2%
N 12
 
4.8%
Other values (16) 96
38.2%
Lowercase Letter
ValueCountFrequency (%)
o 14
14.7%
i 12
12.6%
n 11
11.6%
s 8
8.4%
e 8
8.4%
t 6
 
6.3%
c 5
 
5.3%
d 5
 
5.3%
u 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%
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%
Close Punctuation
ValueCountFrequency (%)
) 517
100.0%
Open Punctuation
ValueCountFrequency (%)
( 517
100.0%
Space Separator
ValueCountFrequency (%)
340
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8137
82.0%
Common 1446
 
14.6%
Latin 346
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 680
 
8.4%
이 309
 
3.8%
사 257
 
3.2%
스 247
 
3.0%
회 230
 
2.8%
식 206
 
2.5%
신 160
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
정 129
 
1.6%
Other values (423) 5625
69.1%
Latin
ValueCountFrequency (%)
S 22
 
6.4%
M 20
 
5.8%
C 17
 
4.9%
T 16
 
4.6%
K 15
 
4.3%
o 14
 
4.0%
A 14
 
4.0%
L 13
 
3.8%
I 13
 
3.8%
B 13
 
3.8%
Other values (37) 189
54.6%
Common
ValueCountFrequency (%)
) 517
35.8%
( 517
35.8%
340
23.5%
. 24
 
1.7%
& 20
 
1.4%
1 8
 
0.6%
/ 4
 
0.3%
0 4
 
0.3%
2 3
 
0.2%
4 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8125
81.8%
ASCII 1792
 
18.0%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 680
 
8.4%
이 309
 
3.8%
사 257
 
3.2%
스 247
 
3.0%
회 230
 
2.8%
식 206
 
2.5%
신 160
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
정 129
 
1.6%
Other values (422) 5613
69.1%
ASCII
ValueCountFrequency (%)
) 517
28.9%
( 517
28.9%
340
19.0%
. 24
 
1.3%
S 22
 
1.2%
M 20
 
1.1%
& 20
 
1.1%
C 17
 
0.9%
T 16
 
0.9%
K 15
 
0.8%
Other values (51) 284
15.8%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141273 × 1013
Minimum2.0070731 × 1013
Maximum2.0210929 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:42.607969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080825 × 1013
Q12.0110223 × 1013
median2.0140814 × 1013
Q32.0170548 × 1013
95-th percentile2.0201221 × 1013
Maximum2.0210929 × 1013
Range1.4019795 × 1011
Interquartile range (IQR)6.0325026 × 1010

Descriptive statistics

Standard deviation3.8705149 × 1010
Coefficient of variation (CV)0.0019216833
Kurtosis-1.0407946
Mean2.0141273 × 1013
Median Absolute Deviation (MAD)3.0115033 × 1010
Skewness0.065070348
Sum2.578083 × 1016
Variance1.4980885 × 1021
MonotonicityNot monotonic
2024-04-17T15:08:42.731635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100510175356 1
 
0.1%
20090409165026 1
 
0.1%
20171214153835 1
 
0.1%
20180531154510 1
 
0.1%
20150701145533 1
 
0.1%
20150123114935 1
 
0.1%
20141021132159 1
 
0.1%
20151014102400 1
 
0.1%
20140407092938 1
 
0.1%
20140214091749 1
 
0.1%
Other values (1270) 1270
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 (%)
20210929094653 1
0.1%
20210928174453 1
0.1%
20210927095810 1
0.1%
20210915140114 1
0.1%
20210907121727 1
0.1%
20210901171200 1
0.1%
20210830153103 1
0.1%
20210818111632 1
0.1%
20210817134815 1
0.1%
20210810172015 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
I
1125 
U
155 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1125
87.9%
U 155
 
12.1%

Length

2024-04-17T15:08:42.837706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:42.920244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1125
87.9%
u 155
 
12.1%

데이터갱신일자
Date

Distinct208
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-10-01 02:40:00
2024-04-17T15:08:43.010076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:08:43.116275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1280
Missing (%)100.0%
Memory size11.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct800
Distinct (%)64.9%
Missing48
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean388723.84
Minimum373571.48
Maximum407764.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:43.224225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile381002.32
Q1387469.96
median388641.7
Q3390055.52
95-th percentile395408.68
Maximum407764.36
Range34192.881
Interquartile range (IQR)2585.5616

Descriptive statistics

Standard deviation4033.6658
Coefficient of variation (CV)0.010376687
Kurtosis2.9476908
Mean388723.84
Median Absolute Deviation (MAD)1272.7686
Skewness0.3331326
Sum4.7890777 × 108
Variance16270460
MonotonicityNot monotonic
2024-04-17T15:08:43.583525image/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%
388798.742326259 8
 
0.6%
393790.344709358 8
 
0.6%
392859.978697383 8
 
0.6%
395615.201853958 7
 
0.5%
389763.458430383 7
 
0.5%
Other values (790) 1113
87.0%
(Missing) 48
 
3.8%
ValueCountFrequency (%)
373571.480941768 1
0.1%
373988.512838888 1
0.1%
374253.112340712 1
0.1%
376599.300709847 1
0.1%
377141.990630466 1
0.1%
377197.758646406 2
0.2%
377465.924295 1
0.1%
377614.488355375 1
0.1%
378105.275764927 1
0.1%
378760.018335895 1
0.1%
ValueCountFrequency (%)
407764.362232371 1
0.1%
407240.89489229 1
0.1%
407224.15471702 1
0.1%
407089.378718505 1
0.1%
405522.61178727 1
0.1%
403804.630703364 1
0.1%
402225.504544679 1
0.1%
401853.757726 1
0.1%
401682.975998888 1
0.1%
401447.637635904 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct799
Distinct (%)64.9%
Missing48
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean187870.35
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:43.690310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180738.15
Q1185582.27
median187658.4
Q3189714
95-th percentile195832.85
Maximum206343.36
Range31416.7
Interquartile range (IQR)4131.7283

Descriptive statistics

Standard deviation4341.5656
Coefficient of variation (CV)0.02310937
Kurtosis1.970599
Mean187870.35
Median Absolute Deviation (MAD)2061.0827
Skewness0.6187377
Sum2.3145628 × 108
Variance18849192
MonotonicityNot monotonic
2024-04-17T15:08:43.801526image/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%
188328.743910701 8
 
0.6%
188235.889521484 8
 
0.6%
187523.604270761 8
 
0.6%
186406.750870936 7
 
0.5%
189676.126925582 7
 
0.5%
Other values (789) 1113
87.0%
(Missing) 48
 
3.8%
ValueCountFrequency (%)
174926.658916532 1
 
0.1%
174949.822461937 1
 
0.1%
175213.001131118 1
 
0.1%
175359.769070119 1
 
0.1%
176580.102067648 1
 
0.1%
176893.324496578 1
 
0.1%
177436.655876843 1
 
0.1%
177507.608774077 1
 
0.1%
177623.034608355 3
0.2%
177937.719813596 1
 
0.1%
ValueCountFrequency (%)
206343.359052 1
0.1%
206281.265893726 1
0.1%
206018.426741087 1
0.1%
205478.96147021 1
0.1%
205461.285509767 1
0.1%
205403.743320692 1
0.1%
205331.700588625 1
0.1%
204619.863730079 1
0.1%
203492.652003776 1
0.1%
202095.800730316 1
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct295
Distinct (%)41.3%
Missing566
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean9.1626254 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros75
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:43.938514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median50000000
Q33 × 108
95-th percentile4.7353033 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.8 × 108

Descriptive statistics

Standard deviation2.1868098 × 1012
Coefficient of variation (CV)23.866629
Kurtosis705.7822
Mean9.1626254 × 1010
Median Absolute Deviation (MAD)50000000
Skewness26.500228
Sum6.5421145 × 1013
Variance4.7821371 × 1024
MonotonicityNot monotonic
2024-04-17T15:08:44.066151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 151
 
11.8%
0 75
 
5.9%
10000000 47
 
3.7%
100000000 36
 
2.8%
30000000 27
 
2.1%
20000000 25
 
2.0%
150000000 16
 
1.2%
1000000 9
 
0.7%
300000000 9
 
0.7%
200000000 8
 
0.6%
Other values (285) 311
24.3%
(Missing) 566
44.2%
ValueCountFrequency (%)
0 75
5.9%
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%
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 

Distinct260
Distinct (%)36.6%
Missing569
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean8.1862579 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros416
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:44.203111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.3973695 × 108
95-th percentile3.9074487 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.3973695 × 108

Descriptive statistics

Standard deviation1.9933332 × 1012
Coefficient of variation (CV)24.349748
Kurtosis703.57816
Mean8.1862579 × 1010
Median Absolute Deviation (MAD)0
Skewness26.465016
Sum5.8204294 × 1013
Variance3.9733771 × 1024
MonotonicityNot monotonic
2024-04-17T15:08:44.341311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 416
32.5%
100000000 9
 
0.7%
50000000 7
 
0.5%
30000000 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 (250) 251
19.6%
(Missing) 569
44.5%
ValueCountFrequency (%)
0 416
32.5%
55356 1
 
0.1%
443448 1
 
0.1%
968387 1
 
0.1%
985303 1
 
0.1%
1101240 1
 
0.1%
1256855 1
 
0.1%
1261800 1
 
0.1%
1273100 1
 
0.1%
1700000 1
 
0.1%
ValueCountFrequency (%)
53019720896146 1
0.1%
3781725721668 1
0.1%
665004058309 1
0.1%
101945709477 1
0.1%
72002590189 1
0.1%
71755142536 1
0.1%
31483064051 1
0.1%
30070787337 1
0.1%
28837496915 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct145
Distinct (%)20.4%
Missing568
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean9.2468212 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros34
Zeros (%)2.7%
Negative3
Negative (%)0.2%
Memory size11.4 KiB
2024-04-17T15:08:44.455470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q120000000
median50000000
Q31.5 × 108
95-th percentile1.1175 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)1.3 × 108

Descriptive statistics

Standard deviation1.9901151 × 1011
Coefficient of variation (CV)21.522154
Kurtosis681.97839
Mean9.2468212 × 109
Median Absolute Deviation (MAD)40000000
Skewness25.903029
Sum6.5837367 × 1012
Variance3.9605582 × 1022
MonotonicityNot monotonic
2024-04-17T15:08:44.569771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 239
18.7%
10000000 68
 
5.3%
100000000 54
 
4.2%
150000000 38
 
3.0%
0 34
 
2.7%
30000000 30
 
2.3%
20000000 26
 
2.0%
300000000 19
 
1.5%
1000000 14
 
1.1%
5000000 11
 
0.9%
Other values (135) 179
 
14.0%
(Missing) 568
44.4%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-30721315 1
 
0.1%
0 34
2.7%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
243888 1
 
0.1%
250000 1
 
0.1%
300000 1
 
0.1%
ValueCountFrequency (%)
5255015225254 1
0.1%
741481300637 1
0.1%
218000000000 1
0.1%
61194035158 1
0.1%
31000000000 1
0.1%
30860000000 1
0.1%
21633164631 1
0.1%
20747480000 1
0.1%
20000000000 2
0.2%
10929308930 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1280
Missing (%)100.0%
Memory size11.4 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1280
Missing (%)100.0%
Memory size11.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
01전화권유판매업08_26_03_P3250000200732500592420003520070904<NA>4취소/말소/만료/정지/중지7직권말소20100510<NA><NA><NA>051 466 3267<NA>600816부산광역시 중구 중앙동*가 **번지 *호 KT중부지점 *층부산광역시 중구 중앙대로 *** (중앙동*가,KT중부지점 *층)<NA>(주)텔비즈부산지점20100510175356I2018-08-31 23:59:59.0<NA>385709.21692180842.06777126749348112344684464100000000<NA><NA>
12전화권유판매업08_26_03_P3250000200832500592420000220080428<NA>4취소/말소/만료/정지/중지7직권말소20100510<NA><NA><NA>051 462 9289<NA>600723부산광역시 중구 중앙동*가 **번지 **호 정석빌딩 ***호부산광역시 중구 중앙대로 ** (중앙동*가)600723남영20111030143745I2018-08-31 23:59:59.0<NA>385616.660201180406.241288<NA><NA><NA><NA><NA>
23전화권유판매업08_26_03_P3250000200632500592420002920060804<NA>4취소/말소/만료/정지/중지7직권말소20100510<NA><NA><NA>051 906 7000<NA>600816부산광역시 중구 중앙동*가 **번지 **호 대한통운빌딩 ****호<NA><NA>수호D&C20100510175434I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
34전화권유판매업08_26_03_P3250000200432500592420001620040810<NA>4취소/말소/만료/정지/중지7직권말소20100510<NA><NA><NA>051 247 0847<NA>600802부산광역시 중구 보수동*가 **번지 **호부산광역시 중구 보수대로 ***-* (보수동*가)<NA>대일통신20100510175615I2018-08-31 23:59:59.0<NA>384349.442566180614.224785<NA><NA><NA><NA><NA>
45전화권유판매업08_26_03_P3250000200532500592420002020051007<NA>4취소/말소/만료/정지/중지7직권말소20130726<NA><NA><NA>051 246 1500<NA>600074부산광역시 중구 부평동*가 **번지 *호 골든시티오피스텔 ***호부산광역시 중구 보수대로 **, ***호 (부평동*가,골든시티오피스텔)<NA>인트데이타20130729090854I2018-08-31 23:59:59.0<NA>384249.201711180080.172972<NA><NA><NA><NA><NA>
56전화권유판매업08_26_03_P3250000200532500592420002120051020<NA>4취소/말소/만료/정지/중지7직권말소20100510<NA><NA><NA>051 465 0401<NA>600816부산광역시 중구 중앙동*가 **번지 *호 KT중부산지점부산광역시 중구 중앙대로 *** (중앙동*가,KT중부산지점)<NA>I.N.T20100510175542I2018-08-31 23:59:59.0<NA>385709.21692180842.067771<NA><NA><NA><NA><NA>
67전화권유판매업08_26_03_P3250000200532500592420002320051101<NA>4취소/말소/만료/정지/중지7직권말소20100510<NA><NA><NA>051 961 8000<NA>600717부산광역시 중구 중앙동*가 **번지 *호 동방빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,동방빌딩 *층)<NA>(주)동진디앤아이20100510175709I2018-08-31 23:59:59.0<NA>385637.167035180199.55779145050000050000000<NA><NA>
78전화권유판매업08_26_03_P3300000201133000792420000420110805201305224취소/말소/만료/정지/중지4직권취소20130522<NA><NA><NA><NA><NA>607836부산광역시 동래구 온천동 ****번지 **호부산광역시 동래구 충렬대로***번길 ** (온천동)<NA>블루라인20130522151203I2018-08-31 23:59:59.0<NA>388960.226284191444.071057<NA><NA><NA><NA><NA>
89전화권유판매업08_26_03_P3300000201233000792420000220120322201306174취소/말소/만료/정지/중지4직권취소20130617<NA><NA><NA>503-9910<NA>607804부산광역시 동래구 명륜동 ***번지 동진빌딩 ***호부산광역시 동래구 충렬대로***번길 * (명륜동)607804그린테크20130617104235I2018-08-31 23:59:59.0<NA>389324.550373191312.557261<NA><NA><NA><NA><NA>
910전화권유판매업08_26_03_P3300000200733000642420000320030602200809084취소/말소/만료/정지/중지4직권취소20080908<NA><NA><NA>0515550614<NA>607010부산광역시 동래구 명륜동 ***-**번지<NA><NA>문화20080908113344I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12701271전화권유판매업08_26_03_P3330000201533301032420000120150113<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-505-2233<NA><NA><NA>부산광역시 해운대구 마린시티*로 *, ****호 (우동, 마린파크)612824바로연20150113095800I2018-08-31 23:59:59.0<NA>395308.610453186564.639114<NA><NA><NA><NA><NA>
12711272전화권유판매업08_26_03_P3330000201233301032420000820100630<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-505-3677<NA>612050부산광역시 해운대구 재송동 ****번지 벽산e센텀클래스원 ***호부산광역시 해운대구 센텀동로 **, ***호 (재송동, 벽산e센텀클래스원)612051(주)코스넷20121018133230I2018-08-31 23:59:59.0<NA>393553.326853188402.465081000000000100000000<NA><NA>
12721273전화권유판매업08_26_03_P3330000201633301322420000220160218<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동순환로***번길 **, *층 (좌동, 한국통신)48076윤성솔루션20160219132951I2018-08-31 23:59:59.0<NA>398720.30672188545.643538<NA><NA><NA><NA><NA>
12731274전화권유판매업08_26_03_P3330000201633301322420000320160224<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-8740-2787<NA><NA>부산광역시 해운대구 우동 ****번지 벽산이센텀클래스원*차부산광역시 해운대구 센텀동로 **, 벽산이센텀클래스원*차 ****호 (우동)48059주식회사 유캐스트20180126203818I2018-08-31 23:59:59.0<NA>393790.344709188235.889521500000012618004189148<NA><NA>
12741275전화권유판매업08_26_03_P3330000201833301322420000220180305<NA>1영업/정상1정상영업<NA><NA><NA><NA>1544-4865<NA><NA>부산광역시 해운대구 우동 ****번지 에이스하이테크**부산광역시 해운대구 센텀중앙로 **, 에이스하이테크** ****호 (우동)48059주식회사 리치안골프20181217154757U2018-12-19 02:40:00.0<NA>393963.840834188061.35516310000000010000000<NA><NA>
12751276전화권유판매업08_26_03_P3330000201233301032420000120120106<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-747-5033<NA>612020부산광역시 해운대구 우동 ****번지 선프라자 ***호부산광역시 해운대구 센텀동로 **, ***호 (우동, 선프라자)612725(주)와이엔텍 명성20160119135543I2018-08-31 23:59:59.0<NA>395615.201854186406.7508711694935930529394983250000000<NA><NA>
12761277전화권유판매업08_26_03_P3330000201433301032420000420140307<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 양운로 **, 비동 ****호 (좌동, 해운대베르나움)48104(주)비에스회원권거래소20150914135707I2018-08-31 23:59:59.0<NA>398240.0187521.020000000050000000<NA><NA>
12771278전화권유판매업08_26_03_P3330000201433301032420000920140725<NA>1영업/정상1정상영업<NA><NA><NA><NA>1899-6678<NA><NA><NA>부산광역시 해운대구 마린시티*로 **, ***호 (우동, 한일오르듀)612824바이오셀뱅킹(주)20170613152013I2018-08-31 23:59:59.0<NA>395534.321856186145.13016330000000030000000<NA><NA>
12781279전화권유판매업08_26_03_P3330000200833300822420000120080311<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-703-0370<NA>612030부산광역시 해운대구 좌동 ****번지 KT 좌동지점부산광역시 해운대구 좌동순환로***번길 ** (좌동,KT 좌동지점)<NA>동부산정보통신20190314092724U2019-03-16 02:40:00.0<NA>398720.30672188545.643538<NA><NA><NA><NA><NA>
12791280전화권유판매업08_26_03_P3330000202033301512420000720201228<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-7396-7722<NA><NA>부산광역시 해운대구 우동 **** 썬프라자 ***호부산광역시 해운대구 마린시티*로 *, ***호 (우동, 썬프라자)48092주식회사 신성이엔아이20201228155703I2020-12-30 00:23:06.0<NA>395615.201854186406.7508711392823947272148638200000000<NA><NA>