Overview

Dataset statistics

Number of variables33
Number of observations1315
Missing cells12781
Missing cells (%)29.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory368.7 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2023-02-01
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 (98.5%)Imbalance
인허가취소일자 has 1259 (95.7%) missing valuesMissing
폐업일자 has 274 (20.8%) missing valuesMissing
휴업시작일자 has 1298 (98.7%) missing valuesMissing
휴업종료일자 has 1298 (98.7%) missing valuesMissing
소재지전화 has 198 (15.1%) missing valuesMissing
소재지면적 has 1315 (100.0%) missing valuesMissing
소재지우편번호 has 493 (37.5%) missing valuesMissing
소재지전체주소 has 229 (17.4%) missing valuesMissing
도로명전체주소 has 67 (5.1%) missing valuesMissing
도로명우편번호 has 642 (48.8%) missing valuesMissing
업태구분명 has 1315 (100.0%) missing valuesMissing
좌표정보(x) has 60 (4.6%) missing valuesMissing
좌표정보(y) has 60 (4.6%) missing valuesMissing
자산규모 has 546 (41.5%) missing valuesMissing
부채총액 has 549 (41.7%) missing valuesMissing
자본금 has 548 (41.7%) missing valuesMissing
판매방식명 has 1315 (100.0%) missing valuesMissing
Unnamed: 32 has 1315 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 27.50198157)Skewed
부채총액 is highly skewed (γ1 = 27.46959698)Skewed
자본금 is highly skewed (γ1 = 26.88469205)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 114 (8.7%) zerosZeros
부채총액 has 461 (35.1%) zerosZeros
자본금 has 73 (5.6%) zerosZeros

Reproduction

Analysis started2024-04-17 06:05:51.695724
Analysis finished2024-04-17 06:05:52.673900
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean658
Minimum1
Maximum1315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:52.729875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile66.7
Q1329.5
median658
Q3986.5
95-th percentile1249.3
Maximum1315
Range1314
Interquartile range (IQR)657

Descriptive statistics

Standard deviation379.75211
Coefficient of variation (CV)0.57713087
Kurtosis-1.2
Mean658
Median Absolute Deviation (MAD)329
Skewness0
Sum865270
Variance144211.67
MonotonicityStrictly increasing
2024-04-17T15:05:52.842633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
885 1
 
0.1%
883 1
 
0.1%
882 1
 
0.1%
881 1
 
0.1%
880 1
 
0.1%
879 1
 
0.1%
878 1
 
0.1%
877 1
 
0.1%
876 1
 
0.1%
Other values (1305) 1305
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 (%)
1315 1
0.1%
1314 1
0.1%
1313 1
0.1%
1312 1
0.1%
1311 1
0.1%
1310 1
0.1%
1309 1
0.1%
1308 1
0.1%
1307 1
0.1%
1306 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
전화권유판매업
1315 

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 1315
100.0%

Length

2024-04-17T15:05:52.939803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:53.018103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1315
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
08_26_03_P
1315 

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 1315
100.0%

Length

2024-04-17T15:05:53.098240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:53.171917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1315
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322692
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:53.241966image/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 deviation39313.654
Coefficient of variation (CV)0.011831868
Kurtosis-1.206761
Mean3322692
Median Absolute Deviation (MAD)20000
Skewness0.27359611
Sum4.36934 × 109
Variance1.5455634 × 109
MonotonicityIncreasing
2024-04-17T15:05:53.333863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 376
28.6%
3370000 200
15.2%
3330000 121
 
9.2%
3300000 115
 
8.7%
3350000 92
 
7.0%
3270000 87
 
6.6%
3380000 73
 
5.6%
3310000 48
 
3.7%
3390000 46
 
3.5%
3320000 41
 
3.1%
Other values (6) 116
 
8.8%
ValueCountFrequency (%)
3250000 26
 
2.0%
3260000 9
 
0.7%
3270000 87
 
6.6%
3280000 8
 
0.6%
3290000 376
28.6%
3300000 115
 
8.7%
3310000 48
 
3.7%
3320000 41
 
3.1%
3330000 121
 
9.2%
3340000 37
 
2.8%
ValueCountFrequency (%)
3400000 22
 
1.7%
3390000 46
 
3.5%
3380000 73
 
5.6%
3370000 200
15.2%
3360000 14
 
1.1%
3350000 92
7.0%
3340000 37
 
2.8%
3330000 121
9.2%
3320000 41
 
3.1%
3310000 48
 
3.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0122319 × 1018
Minimum2.002329 × 1018
Maximum2.02234 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:53.442162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.0063284 × 1018
Q12.00833 × 1018
median2.011331 × 1018
Q32.015335 × 1018
95-th percentile2.021333 × 1018
Maximum2.02234 × 1018
Range2.0011002 × 1016
Interquartile range (IQR)7.0050036 × 1015

Descriptive statistics

Standard deviation4.6675819 × 1015
Coefficient of variation (CV)0.0023196044
Kurtosis-0.67165913
Mean2.0122319 × 1018
Median Absolute Deviation (MAD)3.0040005 × 1015
Skewness0.51990766
Sum8.2005428 × 1018
Variance2.1786321 × 1031
MonotonicityNot monotonic
2024-04-17T15:05:53.564580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2012335008524200003 1
 
0.1%
2015335010024200001 1
 
0.1%
2012335008524200008 1
 
0.1%
2016335010024200004 1
 
0.1%
2022335013524200004 1
 
0.1%
2021335011224200005 1
 
0.1%
2022335013524200005 1
 
0.1%
2022335013524200006 1
 
0.1%
2021335013524200002 1
 
0.1%
Other values (1305) 1305
99.2%
ValueCountFrequency (%)
2002329008524200001 1
0.1%
2002329008524200006 1
0.1%
2002333008224200001 1
0.1%
2003329008524200011 1
0.1%
2003333008224200001 1
0.1%
2004325005924200015 1
0.1%
2004325005924200016 1
0.1%
2004329008524200005 1
0.1%
2004329008524200007 1
0.1%
2004329008524200008 1
0.1%
ValueCountFrequency (%)
2022340010924200001 1
0.1%
2022339010924200001 1
0.1%
2022337010624200002 1
0.1%
2022337010624200001 1
0.1%
2022336014524200001 1
0.1%
2022335013524200006 1
0.1%
2022335013524200005 1
0.1%
2022335013524200004 1
0.1%
2022335013524200003 1
0.1%
2022335013524200002 1
0.1%

인허가일자
Real number (ℝ)

Distinct1039
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115632
Minimum20020820
Maximum20221222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:53.685845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050926
Q120080423
median20110228
Q320150304
95-th percentile20210107
Maximum20221222
Range200402
Interquartile range (IQR)69881

Descriptive statistics

Standard deviation47266.283
Coefficient of variation (CV)0.002349729
Kurtosis-0.61216932
Mean20115632
Median Absolute Deviation (MAD)30489
Skewness0.50460621
Sum2.6452056 × 1010
Variance2.2341015 × 109
MonotonicityNot monotonic
2024-04-17T15:05:53.817122image/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%
20150304 5
 
0.4%
20120106 5
 
0.4%
20161013 5
 
0.4%
20090427 4
 
0.3%
20100310 4
 
0.3%
20090615 4
 
0.3%
20070528 4
 
0.3%
Other values (1029) 1262
96.0%
ValueCountFrequency (%)
20020820 1
0.1%
20020822 1
0.1%
20020823 1
0.1%
20020829 1
0.1%
20020904 1
0.1%
20030219 1
0.1%
20030328 1
0.1%
20030408 1
0.1%
20030429 1
0.1%
20030602 1
0.1%
ValueCountFrequency (%)
20221222 2
0.2%
20221221 2
0.2%
20221220 2
0.2%
20221216 1
0.1%
20221017 1
0.1%
20220929 1
0.1%
20220801 1
0.1%
20220727 1
0.1%
20220722 1
0.1%
20220721 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1259
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:53.928929image/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
2024-04-17T15:05:54.028446image/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) 1259
95.7%
ValueCountFrequency (%)
20070706 1
 
0.1%
20071218 4
0.3%
20071220 2
0.2%
20071226 3
0.2%
20080522 2
0.2%
20080908 3
0.2%
20080917 2
0.2%
20081211 1
 
0.1%
20081226 4
0.3%
20090805 3
0.2%
ValueCountFrequency (%)
20131218 1
 
0.1%
20130617 1
 
0.1%
20130522 1
 
0.1%
20121205 2
 
0.2%
20110610 1
 
0.1%
20110405 1
 
0.1%
20101231 6
0.5%
20101208 1
 
0.1%
20101206 1
 
0.1%
20100927 1
 
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
3
643 
4
454 
1
205 
2
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 643
48.9%
4 454
34.5%
1 205
 
15.6%
2 13
 
1.0%

Length

2024-04-17T15:05:54.125840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:54.208561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 643
48.9%
4 454
34.5%
1 205
 
15.6%
2 13
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
폐업
643 
취소/말소/만료/정지/중지
454 
영업/정상
205 
휴업
 
13

Length

Max length14
Median length5
Mean length6.6106464
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 643
48.9%
취소/말소/만료/정지/중지 454
34.5%
영업/정상 205
 
15.6%
휴업 13
 
1.0%

Length

2024-04-17T15:05:54.304021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:54.387078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 643
48.9%
취소/말소/만료/정지/중지 454
34.5%
영업/정상 205
 
15.6%
휴업 13
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
3
643 
7
395 
1
205 
4
 
59
2
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 643
48.9%
7 395
30.0%
1 205
 
15.6%
4 59
 
4.5%
2 13
 
1.0%

Length

2024-04-17T15:05:54.478570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:54.560798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 643
48.9%
7 395
30.0%
1 205
 
15.6%
4 59
 
4.5%
2 13
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
폐업처리
643 
직권말소
395 
정상영업
205 
직권취소
 
59
휴업처리
 
13

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 643
48.9%
직권말소 395
30.0%
정상영업 205
 
15.6%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

Length

2024-04-17T15:05:54.669884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:54.759383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 643
48.9%
직권말소 395
30.0%
정상영업 205
 
15.6%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct647
Distinct (%)62.2%
Missing274
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean20132657
Minimum20070604
Maximum20221214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:54.854143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080522
Q120100628
median20130827
Q320160527
95-th percentile20200522
Maximum20221214
Range150610
Interquartile range (IQR)59899

Descriptive statistics

Standard deviation36505.402
Coefficient of variation (CV)0.0018132431
Kurtosis-0.67133941
Mean20132657
Median Absolute Deviation (MAD)29999
Skewness0.31118264
Sum2.0958096 × 1010
Variance1.3326444 × 109
MonotonicityNot monotonic
2024-04-17T15:05:54.969738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090817 16
 
1.2%
20170221 14
 
1.1%
20110915 13
 
1.0%
20120814 12
 
0.9%
20140901 12
 
0.9%
20130204 11
 
0.8%
20090604 10
 
0.8%
20130827 9
 
0.7%
20101231 9
 
0.7%
20100514 9
 
0.7%
Other values (637) 926
70.4%
(Missing) 274
 
20.8%
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 (%)
20221214 1
0.1%
20221208 1
0.1%
20221128 1
0.1%
20221121 1
0.1%
20221101 1
0.1%
20220825 1
0.1%
20220802 1
0.1%
20220728 1
0.1%
20220502 1
0.1%
20220322 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing1298
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20171285
Minimum20090226
Maximum20220222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:55.080978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation37715.231
Coefficient of variation (CV)0.0018697486
Kurtosis0.21958984
Mean20171285
Median Absolute Deviation (MAD)19592
Skewness-0.92615127
Sum3.4291185 × 108
Variance1.4224387 × 109
MonotonicityNot monotonic
2024-04-17T15:05:55.198029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20200103 1
 
0.1%
20181031 1
 
0.1%
20090226 1
 
0.1%
20160819 1
 
0.1%
20220217 1
 
0.1%
20190227 1
 
0.1%
20180511 1
 
0.1%
20171122 1
 
0.1%
20191210 1
 
0.1%
20130826 1
 
0.1%
Other values (7) 7
 
0.5%
(Missing) 1298
98.7%
ValueCountFrequency (%)
20090226 1
0.1%
20101122 1
0.1%
20130826 1
0.1%
20131021 1
0.1%
20160819 1
0.1%
20171122 1
0.1%
20171219 1
0.1%
20180427 1
0.1%
20180511 1
0.1%
20181031 1
0.1%
ValueCountFrequency (%)
20220222 1
0.1%
20220217 1
0.1%
20201231 1
0.1%
20200103 1
0.1%
20191210 1
0.1%
20190312 1
0.1%
20190227 1
0.1%
20181031 1
0.1%
20180511 1
0.1%
20180427 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing1298
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20183783
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:55.288835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation42995.603
Coefficient of variation (CV)0.0021302054
Kurtosis-0.039155047
Mean20183783
Median Absolute Deviation (MAD)29887
Skewness-0.7622711
Sum3.4312432 × 108
Variance1.8486219 × 109
MonotonicityNot monotonic
2024-04-17T15:05:55.378010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20191231 2
 
0.2%
20210630 1
 
0.1%
20190930 1
 
0.1%
20090630 1
 
0.1%
20161231 1
 
0.1%
20220817 1
 
0.1%
20190511 1
 
0.1%
20181121 1
 
0.1%
20241231 1
 
0.1%
20230201 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1298
98.7%
ValueCountFrequency (%)
20090630 1
0.1%
20110521 1
0.1%
20140826 1
0.1%
20141015 1
0.1%
20161231 1
0.1%
20180531 1
0.1%
20181121 1
0.1%
20190511 1
0.1%
20190930 1
0.1%
20191231 2
0.2%
ValueCountFrequency (%)
20241231 1
0.1%
20230427 1
0.1%
20230201 1
0.1%
20221231 1
0.1%
20220817 1
0.1%
20210630 1
0.1%
20191231 2
0.2%
20190930 1
0.1%
20190511 1
0.1%
20181121 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
<NA>
1311 
20060126
 
1
20100217
 
1
20200312
 
1
20090724
 
1

Length

Max length8
Median length4
Mean length4.0121673
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> 1311
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:05:55.488690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:55.578266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1311
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1043
Distinct (%)93.4%
Missing198
Missing (%)15.1%
Memory size10.4 KiB
2024-04-17T15:05:55.773429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.91137
Min length1

Characters and Unicode

Total characters12188
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

Unique977 ?
Unique (%)87.5%

Sample

1st row051-466-0046
2nd row051 710 0088
3rd row051 465 2480
4th row051-463-3556
5th row051 441 2905
ValueCountFrequency (%)
051 97
 
7.4%
711 6
 
0.5%
853 5
 
0.4%
517 4
 
0.3%
906 4
 
0.3%
861 4
 
0.3%
851 4
 
0.3%
465 4
 
0.3%
051-747-5044 4
 
0.3%
868 4
 
0.3%
Other values (1087) 1176
89.6%
2024-04-17T15:05:56.111515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2202
18.1%
1 1631
13.4%
- 1618
13.3%
5 1535
12.6%
8 868
 
7.1%
7 833
 
6.8%
6 796
 
6.5%
9 649
 
5.3%
3 635
 
5.2%
4 629
 
5.2%
Other values (6) 792
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10357
85.0%
Dash Punctuation 1618
 
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 2202
21.3%
1 1631
15.7%
5 1535
14.8%
8 868
 
8.4%
7 833
 
8.0%
6 796
 
7.7%
9 649
 
6.3%
3 635
 
6.1%
4 629
 
6.1%
2 579
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1618
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 12188
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2202
18.1%
1 1631
13.4%
- 1618
13.3%
5 1535
12.6%
8 868
 
7.1%
7 833
 
6.8%
6 796
 
6.5%
9 649
 
5.3%
3 635
 
5.2%
4 629
 
5.2%
Other values (6) 792
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12188
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2202
18.1%
1 1631
13.4%
- 1618
13.3%
5 1535
12.6%
8 868
 
7.1%
7 833
 
6.8%
6 796
 
6.5%
9 649
 
5.3%
3 635
 
5.2%
4 629
 
5.2%
Other values (6) 792
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1315
Missing (%)100.0%
Memory size11.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing493
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:56.233775image/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
2024-04-17T15:05:56.361619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614050 45
 
3.4%
614030 42
 
3.2%
607060 26
 
2.0%
614040 26
 
2.0%
612020 26
 
2.0%
611080 24
 
1.8%
614020 21
 
1.6%
611839 18
 
1.4%
613100 14
 
1.1%
613120 13
 
1.0%
Other values (241) 567
43.1%
(Missing) 493
37.5%
ValueCountFrequency (%)
600012 1
 
0.1%
600074 1
 
0.1%
600110 1
 
0.1%
600714 1
 
0.1%
600717 1
 
0.1%
600721 1
 
0.1%
600723 2
 
0.2%
600802 1
 
0.1%
600815 1
 
0.1%
600816 8
0.6%
ValueCountFrequency (%)
619952 1
 
0.1%
619951 1
 
0.1%
619905 1
 
0.1%
619903 2
0.2%
619902 1
 
0.1%
618806 2
0.2%
617844 3
0.2%
617841 1
 
0.1%
617838 1
 
0.1%
617837 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct826
Distinct (%)76.1%
Missing229
Missing (%)17.4%
Memory size10.4 KiB
2024-04-17T15:05:56.594580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.516575
Min length12

Characters and Unicode

Total characters30969
Distinct characters349
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique696 ?
Unique (%)64.1%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
3rd row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
4th row부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층
ValueCountFrequency (%)
부산광역시 1085
16.7%
호 1062
16.4%
번지 959
14.8%
층 339
 
5.2%
부산진구 298
 
4.6%
연제구 184
 
2.8%
137
 
2.1%
연산동 126
 
1.9%
동래구 101
 
1.6%
부전동 91
 
1.4%
Other values (638) 2105
32.4%
2024-04-17T15:05:56.950251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6287
20.3%
5425
17.5%
산 1586
 
5.1%
부 1542
 
5.0%
동 1329
 
4.3%
광 1120
 
3.6%
시 1104
 
3.6%
구 1097
 
3.5%
역 1090
 
3.5%
호 1088
 
3.5%
Other values (339) 9301
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18947
61.2%
Other Punctuation 6317
 
20.4%
Space Separator 5425
 
17.5%
Dash Punctuation 112
 
0.4%
Uppercase Letter 101
 
0.3%
Decimal Number 45
 
0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1586
 
8.4%
부 1542
 
8.1%
동 1329
 
7.0%
광 1120
 
5.9%
시 1104
 
5.8%
구 1097
 
5.8%
역 1090
 
5.8%
호 1088
 
5.7%
지 1018
 
5.4%
번 962
 
5.1%
Other values (304) 7011
37.0%
Uppercase Letter
ValueCountFrequency (%)
K 26
25.7%
T 25
24.8%
S 12
11.9%
B 12
11.9%
O 6
 
5.9%
D 3
 
3.0%
I 3
 
3.0%
V 2
 
2.0%
E 2
 
2.0%
C 2
 
2.0%
Other values (5) 8
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 9
20.0%
6 7
15.6%
4 5
11.1%
8 5
11.1%
0 4
8.9%
5 4
8.9%
2 4
8.9%
7 3
 
6.7%
3 2
 
4.4%
9 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
* 6287
99.5%
, 22
 
0.3%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18947
61.2%
Common 11918
38.5%
Latin 104
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1586
 
8.4%
부 1542
 
8.1%
동 1329
 
7.0%
광 1120
 
5.9%
시 1104
 
5.8%
구 1097
 
5.8%
역 1090
 
5.8%
호 1088
 
5.7%
지 1018
 
5.4%
번 962
 
5.1%
Other values (304) 7011
37.0%
Common
ValueCountFrequency (%)
* 6287
52.8%
5425
45.5%
- 112
 
0.9%
, 22
 
0.2%
1 9
 
0.1%
( 8
 
0.1%
) 8
 
0.1%
6 7
 
0.1%
/ 7
 
0.1%
4 5
 
< 0.1%
Other values (9) 28
 
0.2%
Latin
ValueCountFrequency (%)
K 26
25.0%
T 25
24.0%
S 12
11.5%
B 12
11.5%
O 6
 
5.8%
D 3
 
2.9%
I 3
 
2.9%
e 3
 
2.9%
V 2
 
1.9%
E 2
 
1.9%
Other values (6) 10
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18947
61.2%
ASCII 12022
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6287
52.3%
5425
45.1%
- 112
 
0.9%
K 26
 
0.2%
T 25
 
0.2%
, 22
 
0.2%
S 12
 
0.1%
B 12
 
0.1%
1 9
 
0.1%
( 8
 
0.1%
Other values (25) 84
 
0.7%
Hangul
ValueCountFrequency (%)
산 1586
 
8.4%
부 1542
 
8.1%
동 1329
 
7.0%
광 1120
 
5.9%
시 1104
 
5.8%
구 1097
 
5.8%
역 1090
 
5.8%
호 1088
 
5.7%
지 1018
 
5.4%
번 962
 
5.1%
Other values (304) 7011
37.0%

도로명전체주소
Text

MISSING 

Distinct1064
Distinct (%)85.3%
Missing67
Missing (%)5.1%
Memory size10.4 KiB
2024-04-17T15:05:57.172990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length33.282853
Min length21

Characters and Unicode

Total characters41537
Distinct characters378
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique931 ?
Unique (%)74.6%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
3rd row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
4th row부산광역시 중구 중앙대로 *** (중앙동*가)
5th row부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)
ValueCountFrequency (%)
1264
16.5%
부산광역시 1248
 
16.3%
층 481
 
6.3%
호 384
 
5.0%
부산진구 364
 
4.8%
중앙대로 246
 
3.2%
연제구 199
 
2.6%
해운대구 114
 
1.5%
연산동 104
 
1.4%
동래구 95
 
1.2%
Other values (1078) 3153
41.2%
2024-04-17T15:05:57.526606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6427
 
15.5%
6411
 
15.4%
산 1851
 
4.5%
부 1835
 
4.4%
동 1653
 
4.0%
, 1362
 
3.3%
시 1309
 
3.2%
광 1301
 
3.1%
구 1261
 
3.0%
역 1252
 
3.0%
Other values (368) 16875
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24507
59.0%
Other Punctuation 7796
 
18.8%
Space Separator 6411
 
15.4%
Open Punctuation 1241
 
3.0%
Close Punctuation 1241
 
3.0%
Uppercase Letter 139
 
0.3%
Dash Punctuation 130
 
0.3%
Decimal Number 59
 
0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1851
 
7.6%
부 1835
 
7.5%
동 1653
 
6.7%
시 1309
 
5.3%
광 1301
 
5.3%
구 1261
 
5.1%
역 1252
 
5.1%
로 1250
 
5.1%
대 728
 
3.0%
층 615
 
2.5%
Other values (331) 11452
46.7%
Uppercase Letter
ValueCountFrequency (%)
K 39
28.1%
T 37
26.6%
B 12
 
8.6%
S 10
 
7.2%
O 6
 
4.3%
C 5
 
3.6%
A 5
 
3.6%
W 4
 
2.9%
E 4
 
2.9%
I 4
 
2.9%
Other values (6) 13
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 12
20.3%
4 7
11.9%
3 7
11.9%
0 7
11.9%
2 7
11.9%
6 5
8.5%
5 5
8.5%
7 4
 
6.8%
8 3
 
5.1%
9 2
 
3.4%
Other Punctuation
ValueCountFrequency (%)
* 6427
82.4%
, 1362
 
17.5%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
k 2
 
22.2%
t 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6411
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24507
59.0%
Common 16882
40.6%
Latin 148
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1851
 
7.6%
부 1835
 
7.5%
동 1653
 
6.7%
시 1309
 
5.3%
광 1301
 
5.3%
구 1261
 
5.1%
역 1252
 
5.1%
로 1250
 
5.1%
대 728
 
3.0%
층 615
 
2.5%
Other values (331) 11452
46.7%
Latin
ValueCountFrequency (%)
K 39
26.4%
T 37
25.0%
B 12
 
8.1%
S 10
 
6.8%
O 6
 
4.1%
C 5
 
3.4%
A 5
 
3.4%
e 5
 
3.4%
W 4
 
2.7%
E 4
 
2.7%
Other values (9) 21
14.2%
Common
ValueCountFrequency (%)
* 6427
38.1%
6411
38.0%
, 1362
 
8.1%
( 1241
 
7.4%
) 1241
 
7.4%
- 130
 
0.8%
1 12
 
0.1%
4 7
 
< 0.1%
3 7
 
< 0.1%
0 7
 
< 0.1%
Other values (8) 37
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24507
59.0%
ASCII 17030
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6427
37.7%
6411
37.6%
, 1362
 
8.0%
( 1241
 
7.3%
) 1241
 
7.3%
- 130
 
0.8%
K 39
 
0.2%
T 37
 
0.2%
B 12
 
0.1%
1 12
 
0.1%
Other values (27) 118
 
0.7%
Hangul
ValueCountFrequency (%)
산 1851
 
7.6%
부 1835
 
7.5%
동 1653
 
6.7%
시 1309
 
5.3%
광 1301
 
5.3%
구 1261
 
5.1%
역 1252
 
5.1%
로 1250
 
5.1%
대 728
 
3.0%
층 615
 
2.5%
Other values (331) 11452
46.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct394
Distinct (%)58.5%
Missing642
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean307540.03
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:57.657993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46275
Q147538
median48742
Q3612020
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)564482

Descriptive statistics

Standard deviation281554.72
Coefficient of variation (CV)0.91550593
Kurtosis-1.9803018
Mean307540.03
Median Absolute Deviation (MAD)2483
Skewness0.15864086
Sum2.0697444 × 108
Variance7.9273061 × 1010
MonotonicityNot monotonic
2024-04-17T15:05:58.042926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 22
 
1.7%
614853 18
 
1.4%
611839 17
 
1.3%
47596 10
 
0.8%
47257 8
 
0.6%
47541 6
 
0.5%
611831 6
 
0.5%
611820 6
 
0.5%
46569 6
 
0.5%
614843 6
 
0.5%
Other values (384) 568
43.2%
(Missing) 642
48.8%
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%
46066 1
0.1%
46067 1
0.1%
ValueCountFrequency (%)
619906 1
0.1%
619903 2
0.2%
619902 1
0.1%
617844 1
0.1%
617840 2
0.2%
617838 1
0.1%
617833 1
0.1%
617822 1
0.1%
617809 2
0.2%
617808 1
0.1%

사업장명
Text

Distinct1259
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2024-04-17T15:05:58.234511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.7596958
Min length1

Characters and Unicode

Total characters10204
Distinct characters498
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1208 ?
Unique (%)91.9%

Sample

1st row코어(CORE)
2nd row(주)두성크리에이터
3rd row(주)야마야푸즈서비스
4th row(주)텔라이브
5th row한국사진기자협회 영남지사
ValueCountFrequency (%)
주식회사 191
 
11.4%
주 12
 
0.7%
부산지점 5
 
0.3%
주)티브로드 5
 
0.3%
대부중개 5
 
0.3%
농업회사법인 4
 
0.2%
모바일 4
 
0.2%
유한회사 4
 
0.2%
주)대영씨엔아이 3
 
0.2%
부산방송 3
 
0.2%
Other values (1348) 1435
85.9%
2024-04-17T15:05:58.544767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 696
 
6.8%
) 524
 
5.1%
( 524
 
5.1%
359
 
3.5%
이 318
 
3.1%
사 269
 
2.6%
스 258
 
2.5%
회 240
 
2.4%
식 217
 
2.1%
신 165
 
1.6%
Other values (488) 6634
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8349
81.8%
Close Punctuation 524
 
5.1%
Open Punctuation 524
 
5.1%
Space Separator 359
 
3.5%
Uppercase Letter 259
 
2.5%
Lowercase Letter 104
 
1.0%
Other Punctuation 50
 
0.5%
Decimal Number 21
 
0.2%
Other Symbol 13
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 696
 
8.3%
이 318
 
3.8%
사 269
 
3.2%
스 258
 
3.1%
회 240
 
2.9%
식 217
 
2.6%
신 165
 
2.0%
통 162
 
1.9%
부 137
 
1.6%
에 135
 
1.6%
Other values (426) 5752
68.9%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.5%
M 21
 
8.1%
T 17
 
6.6%
C 17
 
6.6%
K 15
 
5.8%
A 15
 
5.8%
I 14
 
5.4%
B 13
 
5.0%
L 13
 
5.0%
N 13
 
5.0%
Other values (16) 99
38.2%
Lowercase Letter
ValueCountFrequency (%)
o 16
15.4%
i 12
11.5%
n 11
10.6%
e 9
8.7%
s 8
 
7.7%
t 7
 
6.7%
d 6
 
5.8%
u 5
 
4.8%
c 5
 
4.8%
l 5
 
4.8%
Other values (11) 20
19.2%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
0 4
19.0%
2 3
 
14.3%
4 2
 
9.5%
5 2
 
9.5%
7 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 524
100.0%
Open Punctuation
ValueCountFrequency (%)
( 524
100.0%
Space Separator
ValueCountFrequency (%)
359
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8362
81.9%
Common 1479
 
14.5%
Latin 363
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 696
 
8.3%
이 318
 
3.8%
사 269
 
3.2%
스 258
 
3.1%
회 240
 
2.9%
식 217
 
2.6%
신 165
 
2.0%
통 162
 
1.9%
부 137
 
1.6%
에 135
 
1.6%
Other values (427) 5765
68.9%
Latin
ValueCountFrequency (%)
S 22
 
6.1%
M 21
 
5.8%
T 17
 
4.7%
C 17
 
4.7%
o 16
 
4.4%
K 15
 
4.1%
A 15
 
4.1%
I 14
 
3.9%
B 13
 
3.6%
L 13
 
3.6%
Other values (37) 200
55.1%
Common
ValueCountFrequency (%)
) 524
35.4%
( 524
35.4%
359
24.3%
. 24
 
1.6%
& 20
 
1.4%
1 8
 
0.5%
0 4
 
0.3%
/ 4
 
0.3%
2 3
 
0.2%
, 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8349
81.8%
ASCII 1842
 
18.1%
None 13
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 696
 
8.3%
이 318
 
3.8%
사 269
 
3.2%
스 258
 
3.1%
회 240
 
2.9%
식 217
 
2.6%
신 165
 
2.0%
통 162
 
1.9%
부 137
 
1.6%
에 135
 
1.6%
Other values (426) 5752
68.9%
ASCII
ValueCountFrequency (%)
) 524
28.4%
( 524
28.4%
359
19.5%
. 24
 
1.3%
S 22
 
1.2%
M 21
 
1.1%
& 20
 
1.1%
T 17
 
0.9%
C 17
 
0.9%
o 16
 
0.9%
Other values (51) 298
16.2%
None
ValueCountFrequency (%)
㈜ 13
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144267 × 1013
Minimum2.0070731 × 1013
Maximum2.0221222 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:58.660253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080826 × 1013
Q12.0110417 × 1013
median2.0140915 × 1013
Q32.0171118 × 1013
95-th percentile2.0220223 × 1013
Maximum2.0221222 × 1013
Range1.5049102 × 1011
Interquartile range (IQR)6.0701063 × 1010

Descriptive statistics

Standard deviation4.1561606 × 1010
Coefficient of variation (CV)0.0020631977
Kurtosis-0.96259455
Mean2.0144267 × 1013
Median Absolute Deviation (MAD)3.0290977 × 1010
Skewness0.17173343
Sum2.6489711 × 1016
Variance1.7273671 × 1021
MonotonicityNot monotonic
2024-04-17T15:05:58.788141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20161126121252 1
 
0.1%
20160616134856 1
 
0.1%
20191008094111 1
 
0.1%
20190620173621 1
 
0.1%
20221017165227 1
 
0.1%
20220218104057 1
 
0.1%
20221121171342 1
 
0.1%
20221221155500 1
 
0.1%
20211220165336 1
 
0.1%
Other values (1305) 1305
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 (%)
20221222164723 1
0.1%
20221222164606 1
0.1%
20221221161209 1
0.1%
20221221155500 1
0.1%
20221221143533 1
0.1%
20221220175847 1
0.1%
20221220170424 1
0.1%
20221219100350 1
0.1%
20221215132714 1
0.1%
20221208153820 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
I
1130 
U
185 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1130
85.9%
U 185
 
14.1%

Length

2024-04-17T15:05:58.919336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:58.998388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1130
85.9%
u 185
 
14.1%

데이터갱신일자
Date

Distinct244
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-24 00:40:15
2024-04-17T15:05:59.086697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:59.201514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1315
Missing (%)100.0%
Memory size11.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct821
Distinct (%)65.4%
Missing60
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean388727.38
Minimum373571.48
Maximum407471.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:59.315766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile381008.84
Q1387497.87
median388641.53
Q3390163.94
95-th percentile395334.67
Maximum407471.57
Range33900.093
Interquartile range (IQR)2666.069

Descriptive statistics

Standard deviation4039.8706
Coefficient of variation (CV)0.010392555
Kurtosis2.9548653
Mean388727.38
Median Absolute Deviation (MAD)1304.2989
Skewness0.2870967
Sum4.8785287 × 108
Variance16320555
MonotonicityNot monotonic
2024-04-17T15:05:59.424136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388485.246432899 23
 
1.7%
389473.281486449 19
 
1.4%
387225.613588405 16
 
1.2%
387993.482649182 12
 
0.9%
387630.58080969 11
 
0.8%
388798.742326259 9
 
0.7%
393963.840834294 8
 
0.6%
393790.344709358 8
 
0.6%
392859.978697888 8
 
0.6%
387469.584540928 7
 
0.5%
Other values (811) 1134
86.2%
(Missing) 60
 
4.6%
ValueCountFrequency (%)
373571.480942057 1
0.1%
373988.512839189 1
0.1%
374147.216821474 1
0.1%
374253.112341011 1
0.1%
376599.300710172 1
0.1%
376897.678873247 1
0.1%
377141.445457607 1
0.1%
377198.038259415 2
0.2%
377614.488355711 1
0.1%
378105.275765267 1
0.1%
ValueCountFrequency (%)
407471.574421528 2
0.2%
407224.084854733 1
0.1%
407089.382563893 1
0.1%
405522.604210084 1
0.1%
403804.617191316 1
0.1%
402225.502651266 1
0.1%
401682.97588467 1
0.1%
401645.825170162 1
0.1%
401447.638847969 1
0.1%
401438.308239304 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct821
Distinct (%)65.4%
Missing60
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean187863.59
Minimum174926.66
Maximum206281.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:59.530662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180608.64
Q1185537.85
median187658.4
Q3189726
95-th percentile195838.53
Maximum206281.27
Range31354.607
Interquartile range (IQR)4188.149

Descriptive statistics

Standard deviation4361.6075
Coefficient of variation (CV)0.023216886
Kurtosis1.8670686
Mean187863.59
Median Absolute Deviation (MAD)2076.1214
Skewness0.58330935
Sum2.357688 × 108
Variance19023620
MonotonicityNot monotonic
2024-04-17T15:05:59.646153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187658.396387017 23
 
1.7%
189228.061082038 19
 
1.4%
186408.726533861 16
 
1.2%
186876.485393314 12
 
0.9%
186409.994828231 11
 
0.8%
188328.743910701 9
 
0.7%
188061.35516256 8
 
0.6%
188235.889521484 8
 
0.6%
187523.604270754 8
 
0.6%
186168.671007785 7
 
0.5%
Other values (811) 1134
86.2%
(Missing) 60
 
4.6%
ValueCountFrequency (%)
174926.658916532 1
 
0.1%
174949.822461937 1
 
0.1%
175213.001131118 1
 
0.1%
175359.769070119 1
 
0.1%
176580.102067639 1
 
0.1%
176697.577167306 1
 
0.1%
176893.324496569 1
 
0.1%
177436.655876835 1
 
0.1%
177507.608774067 1
 
0.1%
177623.034608355 3
0.2%
ValueCountFrequency (%)
206281.265893726 1
0.1%
206018.432824666 1
0.1%
205933.277545703 1
0.1%
205474.842798368 2
0.2%
205403.736900702 1
0.1%
205331.700588625 1
0.1%
204619.863730079 1
0.1%
203492.648318112 1
0.1%
202095.800994087 1
0.1%
201768.043889145 1
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct308
Distinct (%)40.1%
Missing546
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean8.5134252 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros114
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:59.780040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000000
median50000000
Q33 × 108
95-th percentile4.8736482 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.9 × 108

Descriptive statistics

Standard deviation2.1071818 × 1012
Coefficient of variation (CV)24.751281
Kurtosis760.15086
Mean8.5134252 × 1010
Median Absolute Deviation (MAD)50000000
Skewness27.501982
Sum6.546824 × 1013
Variance4.440215 × 1024
MonotonicityNot monotonic
2024-04-17T15:05:59.900501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 153
 
11.6%
0 114
 
8.7%
10000000 48
 
3.7%
100000000 36
 
2.7%
30000000 27
 
2.1%
20000000 25
 
1.9%
150000000 16
 
1.2%
1000000 9
 
0.7%
300000000 9
 
0.7%
5000000 8
 
0.6%
Other values (298) 324
24.6%
(Missing) 546
41.5%
ValueCountFrequency (%)
0 114
8.7%
50000 1
 
0.1%
199560 1
 
0.1%
300000 1
 
0.1%
1000000 9
 
0.7%
2000000 2
 
0.2%
2968387 1
 
0.1%
3000000 2
 
0.2%
4195000 1
 
0.1%
5000000 8
 
0.6%
ValueCountFrequency (%)
58274736121400 1
0.1%
4287171590435 1
0.1%
813483890826 1
0.1%
771591249407 1
0.1%
154739323959 1
0.1%
120453637382 1
0.1%
100091909215 1
0.1%
86314571577 1
0.1%
67525432454 1
0.1%
49418153697 1
0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct271
Distinct (%)35.4%
Missing549
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean7.6004717 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros461
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:06:00.037524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2391903 × 108
95-th percentile3.0562091 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.2391903 × 108

Descriptive statistics

Standard deviation1.9204566 × 1012
Coefficient of variation (CV)25.267597
Kurtosis758.0062
Mean7.6004717 × 1010
Median Absolute Deviation (MAD)0
Skewness27.469597
Sum5.8219614 × 1013
Variance3.6881536 × 1024
MonotonicityNot monotonic
2024-04-17T15:06:00.171200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 461
35.1%
100000000 9
 
0.7%
30000000 7
 
0.5%
20000000 6
 
0.5%
50000000 6
 
0.5%
80000000 4
 
0.3%
10000000 4
 
0.3%
238797924 2
 
0.2%
274000000 2
 
0.2%
150000000 2
 
0.2%
Other values (261) 263
20.0%
(Missing) 549
41.7%
ValueCountFrequency (%)
0 461
35.1%
55356 1
 
0.1%
443448 1
 
0.1%
968387 1
 
0.1%
985303 1
 
0.1%
1101240 1
 
0.1%
1256855 1
 
0.1%
1261800 1
 
0.1%
1273100 1
 
0.1%
1700000 1
 
0.1%
ValueCountFrequency (%)
53019720896146 1
0.1%
3781725721668 1
0.1%
665004058309 1
0.1%
101945709477 1
0.1%
72002590189 1
0.1%
71755142536 1
0.1%
31483064051 1
0.1%
30070787337 1
0.1%
26762675048 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct154
Distinct (%)20.1%
Missing548
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean8.6050736 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros73
Zeros (%)5.6%
Negative6
Negative (%)0.5%
Memory size11.7 KiB
2024-04-17T15:06:00.303975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q112151790
median50000000
Q31 × 108
95-th percentile1 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)87848210

Descriptive statistics

Standard deviation1.9174847 × 1011
Coefficient of variation (CV)22.283188
Kurtosis734.65596
Mean8.6050736 × 109
Median Absolute Deviation (MAD)40000000
Skewness26.884692
Sum6.6000915 × 1012
Variance3.6767476 × 1022
MonotonicityNot monotonic
2024-04-17T15:06:00.433519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 241
18.3%
0 73
 
5.6%
10000000 69
 
5.2%
100000000 53
 
4.0%
150000000 41
 
3.1%
30000000 30
 
2.3%
20000000 26
 
2.0%
300000000 19
 
1.4%
1000000 15
 
1.1%
5000000 11
 
0.8%
Other values (144) 189
 
14.4%
(Missing) 548
41.7%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-58087973 1
 
0.1%
-42713664 1
 
0.1%
-30721315 1
 
0.1%
-20089024 1
 
0.1%
0 73
5.6%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
ValueCountFrequency (%)
5255015225254 1
0.1%
741481300637 1
0.1%
218000000000 1
0.1%
61194035158 1
0.1%
31000000000 1
0.1%
30860000000 1
0.1%
21633164631 1
0.1%
20747480000 1
0.1%
20000000000 2
0.2%
15261799186 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1315
Missing (%)100.0%
Memory size11.7 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1315
Missing (%)100.0%
Memory size11.7 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
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12전화권유판매업08_26_03_P3250000200832500592420000120080416<NA>3폐업3폐업처리20100331<NA><NA><NA>051 710 0088<NA>600012부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)<NA>(주)두성크리에이터20100331155844I2018-08-31 23:59:59.0<NA>385568.38851179981.05839450000000050000000<NA><NA>
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89전화권유판매업08_26_03_P3250000200832500592420000420080623<NA>3폐업3폐업처리20090617<NA><NA><NA>051 441 8837<NA>600110부산광역시 중구 영주동 ***번지 **호부산광역시 중구 동영로 ** (영주동)<NA>늘푸른유통20111030150209I2018-08-31 23:59:59.0<NA>385156.035884180976.447427<NA><NA><NA><NA><NA>
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번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
13051306전화권유판매업08_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>
13061307전화권유판매업08_26_03_P3400000201634000722420000120160411<NA>3폐업3폐업처리20160527<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 용궁길 **-*46084해동용궁수산20160527102826I2018-08-31 23:59:59.0<NA>402225.502651190035.925004<NA><NA><NA><NA><NA>
13071308전화권유판매업08_26_03_P3400000201734000722420000220160607<NA>3폐업3폐업처리20170607<NA><NA><NA>051-717-2371<NA><NA><NA>부산광역시 기장군 장안읍 장곡길 ***, ***동 ***호 (보경아트VILL)46033주식회사 오성피앤씨20170619155419I2018-08-31 23:59:59.0<NA>403804.617191203492.64831810000000010000000<NA><NA>
13081309전화권유판매업08_26_03_P3400000201734001092420000120160629<NA>3폐업3폐업처리20171103<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 정관*로 **, ***동 ****호 (정관신도시현진에버빌)46009알뜰모바일20171103101034I2018-08-31 23:59:59.0<NA>397059.580686205933.277546<NA><NA><NA><NA><NA>
13091310전화권유판매업08_26_03_P3400000201834001092420000120180314<NA>3폐업3폐업처리20211122<NA><NA><NA>070-8179-2000<NA><NA>부산광역시 기장군 일광면 신평리 **번지 칠암마을회관부산광역시 기장군 일광면 문오성길 ***-*, 칠암마을회관46040주식회사 오토기술20211124200644U2021-11-26 02:40:00.0<NA>405522.60421202095.80099400150000000<NA><NA>
13101311전화권유판매업08_26_03_P3400000200834000442420000120080826<NA>3폐업3폐업처리20141105<NA><NA><NA>051-747-4300<NA>619951부산광역시 기장군 장안읍 월내리 **번지 **호부산광역시 기장군 장안읍 월내해안길 **<NA>(주) 네스아이20141105134922I2018-08-31 23:59:59.0<NA>407224.084855205403.73690133199734192932326239074015<NA><NA>
13111312전화권유판매업08_26_03_P3400000200834000442420000220080826<NA>3폐업3폐업처리20141104<NA><NA><NA>051-817-0555<NA>619903부산광역시 기장군 기장읍 대라리 ***번지 *호부산광역시 기장군 기장읍 차성로 ***<NA>(주) 제일아이엔씨20141105105652I2018-08-31 23:59:59.0<NA>401374.624968195838.533464507057337164654698160000000<NA><NA>
13121313전화권유판매업08_26_03_P3400000201234000442420000620120612<NA>3폐업3폐업처리20140804<NA><NA><NA>051-723-2126<NA><NA><NA>부산광역시 기장군 기장읍 당사로*길 *619902MY LG 070 서비스20140804155241I2018-08-31 23:59:59.0<NA>401199.2284189625.15520300<NA><NA><NA>
13131314전화권유판매업08_26_03_P3400000202134001092420000320210422<NA>3폐업3폐업처리20220502<NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 방곡리 *** 이지더원*차부산광역시 기장군 정관읍 방곡로 **, ***동 ***호 (이지더원*차)46019엠엔엠20220729162530U2022-07-31 02:40:00.0<NA>398918.600051205331.700589000<NA><NA>
13141315전화권유판매업08_26_03_P3400000202134001092420000220210120<NA>3폐업3폐업처리20211025<NA><NA><NA>051-702-1017<NA><NA>부산광역시 기장군 기장읍 동부리 ***-**부산광역시 기장군 기장읍 차성로***번길 **, *층46060주식회사 에이치씨글로벌20211025170713U2021-10-27 02:40:00.0<NA>401272.722582196533.32174430000000030000000<NA><NA>