Overview

Dataset statistics

Number of variables33
Number of observations1249
Missing cells12199
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory350.2 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2021-01-04
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 (98.2%)Imbalance
데이터갱신구분 is highly imbalanced (51.1%)Imbalance
인허가취소일자 has 1193 (95.5%) missing valuesMissing
폐업일자 has 239 (19.1%) missing valuesMissing
휴업시작일자 has 1232 (98.6%) missing valuesMissing
휴업종료일자 has 1232 (98.6%) missing valuesMissing
소재지전화 has 168 (13.5%) missing valuesMissing
소재지면적 has 1249 (100.0%) missing valuesMissing
소재지우편번호 has 427 (34.2%) missing valuesMissing
소재지전체주소 has 233 (18.7%) missing valuesMissing
도로명전체주소 has 67 (5.4%) missing valuesMissing
도로명우편번호 has 642 (51.4%) missing valuesMissing
업태구분명 has 1249 (100.0%) missing valuesMissing
좌표정보(x) has 47 (3.8%) missing valuesMissing
좌표정보(y) has 47 (3.8%) missing valuesMissing
자산규모 has 557 (44.6%) missing valuesMissing
부채총액 has 560 (44.8%) missing valuesMissing
자본금 has 559 (44.8%) missing valuesMissing
판매방식명 has 1249 (100.0%) missing valuesMissing
Unnamed: 32 has 1249 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 26.0887609)Skewed
부채총액 is highly skewed (γ1 = 26.05234022)Skewed
자본금 is highly skewed (γ1 = 25.49966001)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 69 (5.5%) zerosZeros
부채총액 has 405 (32.4%) zerosZeros
자본금 has 29 (2.3%) zerosZeros

Reproduction

Analysis started2024-04-17 06:10:28.545987
Analysis finished2024-04-17 06:10:29.347132
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean625
Minimum1
Maximum1249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:29.404172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.4
Q1313
median625
Q3937
95-th percentile1186.6
Maximum1249
Range1248
Interquartile range (IQR)624

Descriptive statistics

Standard deviation360.69955
Coefficient of variation (CV)0.57711928
Kurtosis-1.2
Mean625
Median Absolute Deviation (MAD)312
Skewness0
Sum780625
Variance130104.17
MonotonicityStrictly increasing
2024-04-17T15:10:29.514808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
831 1
 
0.1%
838 1
 
0.1%
837 1
 
0.1%
836 1
 
0.1%
835 1
 
0.1%
834 1
 
0.1%
833 1
 
0.1%
832 1
 
0.1%
830 1
 
0.1%
Other values (1239) 1239
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 (%)
1249 1
0.1%
1248 1
0.1%
1247 1
0.1%
1246 1
0.1%
1245 1
0.1%
1244 1
0.1%
1243 1
0.1%
1242 1
0.1%
1241 1
0.1%
1240 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
전화권유판매업
1249 

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 1249
100.0%

Length

2024-04-17T15:10:29.619825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:29.701295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1249
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
08_26_03_P
1249 

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 1249
100.0%

Length

2024-04-17T15:10:29.781708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:29.877420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1249
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322538
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:29.948961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3310000
Q33370000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation39462.072
Coefficient of variation (CV)0.011877087
Kurtosis-1.2322525
Mean3322538
Median Absolute Deviation (MAD)20000
Skewness0.2769356
Sum4.14985 × 109
Variance1.5572552 × 109
MonotonicityNot monotonic
2024-04-17T15:10:30.043833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 369
29.5%
3370000 195
15.6%
3330000 110
 
8.8%
3300000 105
 
8.4%
3270000 85
 
6.8%
3350000 83
 
6.6%
3380000 73
 
5.8%
3390000 43
 
3.4%
3310000 41
 
3.3%
3320000 39
 
3.1%
Other values (6) 106
 
8.5%
ValueCountFrequency (%)
3250000 25
 
2.0%
3260000 7
 
0.6%
3270000 85
 
6.8%
3280000 7
 
0.6%
3290000 369
29.5%
3300000 105
 
8.4%
3310000 41
 
3.3%
3320000 39
 
3.1%
3330000 110
 
8.8%
3340000 36
 
2.9%
ValueCountFrequency (%)
3400000 19
 
1.5%
3390000 43
 
3.4%
3380000 73
 
5.8%
3370000 195
15.6%
3360000 12
 
1.0%
3350000 83
6.6%
3340000 36
 
2.9%
3330000 110
8.8%
3320000 39
 
3.1%
3310000 41
 
3.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0116757 × 1018
Minimum2.002329 × 1018
Maximum2.02034 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:30.166034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.006325 × 1018
Q12.008329 × 1018
median2.011329 × 1018
Q32.014339 × 1018
95-th percentile2.019337 × 1018
Maximum2.02034 × 1018
Range1.8011002 × 1016
Interquartile range (IQR)6.0099998 × 1015

Descriptive statistics

Standard deviation4.1525169 × 1015
Coefficient of variation (CV)0.0020642079
Kurtosis-0.73322489
Mean2.0116757 × 1018
Median Absolute Deviation (MAD)3.0020008 × 1015
Skewness0.42974855
Sum3.8258015 × 1018
Variance1.7243397 × 1031
MonotonicityNot monotonic
2024-04-17T15:10:30.303760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2011327008624200005 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%
2011327008624200004 1
 
0.1%
Other values (1239) 1239
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 (%)
2020340010924200001 1
0.1%
2020339009124200001 1
0.1%
2020338008224200003 1
0.1%
2020338008224200002 1
0.1%
2020338008224200001 1
0.1%
2020337010624200006 1
0.1%
2020337010624200005 1
0.1%
2020337010624200004 1
0.1%
2020337010624200003 1
0.1%
2020337010624200002 1
0.1%

인허가일자
Real number (ℝ)

Distinct981
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110221
Minimum20020820
Maximum20201228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:30.437503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050910
Q120080324
median20100920
Q320140618
95-th percentile20190707
Maximum20201228
Range180408
Interquartile range (IQR)60294

Descriptive statistics

Standard deviation42203.401
Coefficient of variation (CV)0.0020986045
Kurtosis-0.66012262
Mean20110221
Median Absolute Deviation (MAD)30094
Skewness0.40898001
Sum2.5117666 × 1010
Variance1.7811271 × 109
MonotonicityNot monotonic
2024-04-17T15:10:30.560306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080826 8
 
0.6%
20080527 8
 
0.6%
20080526 6
 
0.5%
20161013 5
 
0.4%
20120106 5
 
0.4%
20150304 5
 
0.4%
20070528 4
 
0.3%
20120611 4
 
0.3%
20111020 4
 
0.3%
20070521 4
 
0.3%
Other values (971) 1196
95.8%
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 (%)
20201228 1
0.1%
20201224 1
0.1%
20201120 1
0.1%
20201119 1
0.1%
20201118 2
0.2%
20201027 1
0.1%
20200908 1
0.1%
20200828 1
0.1%
20200812 1
0.1%
20200803 2
0.2%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1193
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:30.670423image/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
2024-04-17T15:10:30.766281image/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) 1193
95.5%
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 size9.9 KiB
3
616 
4
448 
1
173 
2
 
12

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 (%)
3 616
49.3%
4 448
35.9%
1 173
 
13.9%
2 12
 
1.0%

Length

2024-04-17T15:10:31.141020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:31.226063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 616
49.3%
4 448
35.9%
1 173
 
13.9%
2 12
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
폐업
616 
취소/말소/만료/정지/중지
448 
영업/정상
173 
휴업
 
12

Length

Max length14
Median length2
Mean length6.7197758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 616
49.3%
취소/말소/만료/정지/중지 448
35.9%
영업/정상 173
 
13.9%
휴업 12
 
1.0%

Length

2024-04-17T15:10:31.321138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:31.405024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 616
49.3%
취소/말소/만료/정지/중지 448
35.9%
영업/정상 173
 
13.9%
휴업 12
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
3
616 
7
389 
1
173 
4
 
59
2
 
12

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 (%)
3 616
49.3%
7 389
31.1%
1 173
 
13.9%
4 59
 
4.7%
2 12
 
1.0%

Length

2024-04-17T15:10:31.495426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:31.585858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 616
49.3%
7 389
31.1%
1 173
 
13.9%
4 59
 
4.7%
2 12
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
폐업처리
616 
직권말소
389 
정상영업
173 
직권취소
 
59
휴업처리
 
12

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 616
49.3%
직권말소 389
31.1%
정상영업 173
 
13.9%
직권취소 59
 
4.7%
휴업처리 12
 
1.0%

Length

2024-04-17T15:10:31.698625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:31.785070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 616
49.3%
직권말소 389
31.1%
정상영업 173
 
13.9%
직권취소 59
 
4.7%
휴업처리 12
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct617
Distinct (%)61.1%
Missing239
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean20130093
Minimum20070604
Maximum20201228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:31.916171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080520
Q120100514
median20130622
Q320160213
95-th percentile20190618
Maximum20201228
Range130624
Interquartile range (IQR)59699

Descriptive statistics

Standard deviation33939.787
Coefficient of variation (CV)0.0016860223
Kurtosis-0.92598512
Mean20130093
Median Absolute Deviation (MAD)29800
Skewness0.16303604
Sum2.0331394 × 1010
Variance1.1519091 × 109
MonotonicityNot monotonic
2024-04-17T15:10:32.071095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090817 16
 
1.3%
20170221 14
 
1.1%
20110915 13
 
1.0%
20140901 12
 
1.0%
20120814 12
 
1.0%
20130204 11
 
0.9%
20090604 10
 
0.8%
20101231 9
 
0.7%
20150327 9
 
0.7%
20130827 9
 
0.7%
Other values (607) 895
71.7%
(Missing) 239
 
19.1%
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 (%)
20201228 1
0.1%
20201221 1
0.1%
20201214 1
0.1%
20201126 1
0.1%
20201119 2
0.2%
20201117 1
0.1%
20201030 1
0.1%
20201006 1
0.1%
20200925 1
0.1%
20200922 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing1232
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20167791
Minimum20090226
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:32.209538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090226
5-th percentile20098943
Q120160819
median20180427
Q320190312
95-th percentile20200911
Maximum20201231
Range111005
Interquartile range (IQR)29493

Descriptive statistics

Standard deviation34200.549
Coefficient of variation (CV)0.0016958005
Kurtosis0.60964887
Mean20167791
Median Absolute Deviation (MAD)10783
Skewness-1.2614125
Sum3.4285244 × 108
Variance1.1696776 × 109
MonotonicityNot monotonic
2024-04-17T15:10:32.347720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20190312 1
 
0.1%
20171219 1
 
0.1%
20180206 1
 
0.1%
20090226 1
 
0.1%
20130826 1
 
0.1%
20101122 1
 
0.1%
20200103 1
 
0.1%
20191210 1
 
0.1%
20180427 1
 
0.1%
20131021 1
 
0.1%
Other values (7) 7
 
0.6%
(Missing) 1232
98.6%
ValueCountFrequency (%)
20090226 1
0.1%
20101122 1
0.1%
20130826 1
0.1%
20131021 1
0.1%
20160819 1
0.1%
20171122 1
0.1%
20171219 1
0.1%
20180206 1
0.1%
20180427 1
0.1%
20180511 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%
20180206 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing1232
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20181947
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:32.446478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090630
5-th percentile20106543
Q120161231
median20190930
Q320210630
95-th percentile20232588
Maximum20241231
Range150601
Interquartile range (IQR)49399

Descriptive statistics

Standard deviation41636.135
Coefficient of variation (CV)0.0020630386
Kurtosis0.16729877
Mean20181947
Median Absolute Deviation (MAD)19700
Skewness-0.76739618
Sum3.430931 × 108
Variance1.7335677 × 109
MonotonicityNot monotonic
2024-04-17T15:10:32.577545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20191231 2
 
0.2%
20210630 2
 
0.2%
20230427 1
 
0.1%
20181121 1
 
0.1%
20190511 1
 
0.1%
20161231 1
 
0.1%
20141015 1
 
0.1%
20190930 1
 
0.1%
20241231 1
 
0.1%
20230201 1
 
0.1%
Other values (5) 5
 
0.4%
(Missing) 1232
98.6%
ValueCountFrequency (%)
20090630 1
0.1%
20110521 1
0.1%
20140826 1
0.1%
20141015 1
0.1%
20161231 1
0.1%
20180531 1
0.1%
20181121 1
0.1%
20190511 1
0.1%
20190930 1
0.1%
20191231 2
0.2%
ValueCountFrequency (%)
20241231 1
0.1%
20230427 1
0.1%
20230201 1
0.1%
20210630 2
0.2%
20200201 1
0.1%
20191231 2
0.2%
20190930 1
0.1%
20190511 1
0.1%
20181121 1
0.1%
20180531 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1244 
20060126
 
1
20100217
 
1
20200312
 
1
20090724
 
1

Length

Max length8
Median length4
Mean length4.0160128
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1244
99.6%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%
20200506 1
 
0.1%

Length

2024-04-17T15:10:32.708455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:32.813976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1244
99.6%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%
20200506 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1009
Distinct (%)93.3%
Missing168
Missing (%)13.5%
Memory size9.9 KiB
2024-04-17T15:10:33.005057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.883441
Min length1

Characters and Unicode

Total characters11765
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

Unique944 ?
Unique (%)87.3%

Sample

1st row051-466-0046
2nd row051 710 0088
3rd row051 465 2480
4th row051-463-3556
5th row051 441 2905
ValueCountFrequency (%)
051 97
 
7.6%
711 6
 
0.5%
853 5
 
0.4%
051-747-5044 4
 
0.3%
517 4
 
0.3%
465 4
 
0.3%
868 4
 
0.3%
906 4
 
0.3%
851 4
 
0.3%
861 4
 
0.3%
Other values (1053) 1140
89.3%
2024-04-17T15:10:33.326698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2140
18.2%
1 1575
13.4%
- 1555
13.2%
5 1497
12.7%
8 837
 
7.1%
7 795
 
6.8%
6 762
 
6.5%
9 623
 
5.3%
4 609
 
5.2%
3 603
 
5.1%
Other values (6) 769
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9998
85.0%
Dash Punctuation 1555
 
13.2%
Space Separator 195
 
1.7%
Close Punctuation 12
 
0.1%
Math Symbol 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2140
21.4%
1 1575
15.8%
5 1497
15.0%
8 837
 
8.4%
7 795
 
8.0%
6 762
 
7.6%
9 623
 
6.2%
4 609
 
6.1%
3 603
 
6.0%
2 557
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1555
100.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11765
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2140
18.2%
1 1575
13.4%
- 1555
13.2%
5 1497
12.7%
8 837
 
7.1%
7 795
 
6.8%
6 762
 
6.5%
9 623
 
5.3%
4 609
 
5.2%
3 603
 
5.1%
Other values (6) 769
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2140
18.2%
1 1575
13.4%
- 1555
13.2%
5 1497
12.7%
8 837
 
7.1%
7 795
 
6.8%
6 762
 
6.5%
9 623
 
5.3%
4 609
 
5.2%
3 603
 
5.1%
Other values (6) 769
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1249
Missing (%)100.0%
Memory size11.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing427
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:33.457120image/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
2024-04-17T15:10:33.582482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614050 45
 
3.6%
614030 42
 
3.4%
614040 26
 
2.1%
612020 26
 
2.1%
607060 26
 
2.1%
611080 24
 
1.9%
614020 21
 
1.7%
611839 18
 
1.4%
613100 14
 
1.1%
613120 13
 
1.0%
Other values (241) 567
45.4%
(Missing) 427
34.2%
ValueCountFrequency (%)
600012 1
 
0.1%
600074 1
 
0.1%
600110 1
 
0.1%
600714 1
 
0.1%
600717 1
 
0.1%
600721 1
 
0.1%
600723 2
 
0.2%
600802 1
 
0.1%
600815 1
 
0.1%
600816 8
0.6%
ValueCountFrequency (%)
619952 1
 
0.1%
619951 1
 
0.1%
619905 1
 
0.1%
619903 2
0.2%
619902 1
 
0.1%
618806 2
0.2%
617844 3
0.2%
617841 1
 
0.1%
617838 1
 
0.1%
617837 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct946
Distinct (%)93.1%
Missing233
Missing (%)18.7%
Memory size9.9 KiB
2024-04-17T15:10:33.896326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length28.729331
Min length12

Characters and Unicode

Total characters29189
Distinct characters337
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

Unique886 ?
Unique (%)87.2%

Sample

1st row부산광역시 중구 중앙동4가 78-12
2nd row부산광역시 중구 중앙동2가 10번지 대신증권빌딩 5층
3rd row부산광역시 중구 중앙동6가 69번지 1호 국제회관빌딩 9층
4th row부산광역시 중구 중앙동4가 77번지 5호 케이티중부산지사 5층
5th row부산광역시 중구 중앙동4가 89번지 2호 흥우빌딩 6층
ValueCountFrequency (%)
부산광역시 1015
 
16.5%
부산진구 291
 
4.7%
연제구 179
 
2.9%
연산동 123
 
2.0%
1호 118
 
1.9%
동래구 90
 
1.5%
부전동 88
 
1.4%
양정동 79
 
1.3%
3층 74
 
1.2%
해운대구 74
 
1.2%
Other values (1367) 4008
65.3%
2024-04-17T15:10:34.335617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5147
 
17.6%
산 1503
 
5.1%
부 1454
 
5.0%
1 1320
 
4.5%
동 1235
 
4.2%
호 1081
 
3.7%
광 1050
 
3.6%
시 1032
 
3.5%
구 1026
 
3.5%
지 1024
 
3.5%
Other values (327) 13317
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17908
61.4%
Decimal Number 5950
 
20.4%
Space Separator 5147
 
17.6%
Uppercase Letter 90
 
0.3%
Dash Punctuation 51
 
0.2%
Other Punctuation 28
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1503
 
8.4%
부 1454
 
8.1%
동 1235
 
6.9%
호 1081
 
6.0%
광 1050
 
5.9%
시 1032
 
5.8%
구 1026
 
5.7%
지 1024
 
5.7%
역 1018
 
5.7%
번 974
 
5.4%
Other values (293) 6511
36.4%
Uppercase Letter
ValueCountFrequency (%)
T 24
26.7%
K 23
25.6%
B 11
12.2%
S 10
11.1%
O 6
 
6.7%
D 3
 
3.3%
C 2
 
2.2%
I 2
 
2.2%
H 2
 
2.2%
A 2
 
2.2%
Other values (5) 5
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1320
22.2%
2 827
13.9%
3 637
10.7%
0 582
9.8%
4 578
9.7%
8 455
 
7.6%
5 451
 
7.6%
6 419
 
7.0%
7 403
 
6.8%
9 278
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 20
71.4%
/ 7
 
25.0%
& 1
 
3.6%
Space Separator
ValueCountFrequency (%)
5147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17908
61.4%
Common 11189
38.3%
Latin 92
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1503
 
8.4%
부 1454
 
8.1%
동 1235
 
6.9%
호 1081
 
6.0%
광 1050
 
5.9%
시 1032
 
5.8%
구 1026
 
5.7%
지 1024
 
5.7%
역 1018
 
5.7%
번 974
 
5.4%
Other values (293) 6511
36.4%
Common
ValueCountFrequency (%)
5147
46.0%
1 1320
 
11.8%
2 827
 
7.4%
3 637
 
5.7%
0 582
 
5.2%
4 578
 
5.2%
8 455
 
4.1%
5 451
 
4.0%
6 419
 
3.7%
7 403
 
3.6%
Other values (8) 370
 
3.3%
Latin
ValueCountFrequency (%)
T 24
26.1%
K 23
25.0%
B 11
12.0%
S 10
10.9%
O 6
 
6.5%
D 3
 
3.3%
C 2
 
2.2%
I 2
 
2.2%
H 2
 
2.2%
e 2
 
2.2%
Other values (6) 7
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17908
61.4%
ASCII 11281
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5147
45.6%
1 1320
 
11.7%
2 827
 
7.3%
3 637
 
5.6%
0 582
 
5.2%
4 578
 
5.1%
8 455
 
4.0%
5 451
 
4.0%
6 419
 
3.7%
7 403
 
3.6%
Other values (24) 462
 
4.1%
Hangul
ValueCountFrequency (%)
산 1503
 
8.4%
부 1454
 
8.1%
동 1235
 
6.9%
호 1081
 
6.0%
광 1050
 
5.9%
시 1032
 
5.8%
구 1026
 
5.7%
지 1024
 
5.7%
역 1018
 
5.7%
번 974
 
5.4%
Other values (293) 6511
36.4%

도로명전체주소
Text

MISSING 

Distinct1115
Distinct (%)94.3%
Missing67
Missing (%)5.4%
Memory size9.9 KiB
2024-04-17T15:10:34.637708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length33.088832
Min length21

Characters and Unicode

Total characters39111
Distinct characters370
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

Unique1059 ?
Unique (%)89.6%

Sample

1st row부산광역시 중구 충장대로5번길 52, 남정빌딩 406호 (중앙동4가)
2nd row부산광역시 중구 해관로 34 (중앙동2가,대신증권빌딩 5층)
3rd row부산광역시 중구 중앙대로 26 (중앙동6가,국제회관빌딩 9층)
4th row부산광역시 중구 중앙대로 136 (중앙동4가)
5th row부산광역시 중구 중앙대로 87, 4층 (중앙동4가, 동아일보 부산사옥)
ValueCountFrequency (%)
부산광역시 1182
 
16.4%
부산진구 357
 
5.0%
중앙대로 244
 
3.4%
연제구 194
 
2.7%
해운대구 103
 
1.4%
연산동 101
 
1.4%
3층 99
 
1.4%
동래구 85
 
1.2%
동구 83
 
1.2%
금정구 81
 
1.1%
Other values (1743) 4660
64.8%
2024-04-17T15:10:35.047673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6014
 
15.4%
산 1768
 
4.5%
부 1750
 
4.5%
동 1549
 
4.0%
1 1350
 
3.5%
, 1285
 
3.3%
시 1237
 
3.2%
광 1236
 
3.2%
구 1189
 
3.0%
역 1184
 
3.0%
Other values (360) 20549
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23129
59.1%
Decimal Number 6075
 
15.5%
Space Separator 6014
 
15.4%
Other Punctuation 1292
 
3.3%
Open Punctuation 1173
 
3.0%
Close Punctuation 1173
 
3.0%
Uppercase Letter 126
 
0.3%
Dash Punctuation 117
 
0.3%
Lowercase Letter 8
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1768
 
7.6%
부 1750
 
7.6%
동 1549
 
6.7%
시 1237
 
5.3%
광 1236
 
5.3%
구 1189
 
5.1%
역 1184
 
5.1%
로 1184
 
5.1%
대 687
 
3.0%
층 588
 
2.5%
Other values (324) 10757
46.5%
Uppercase Letter
ValueCountFrequency (%)
K 36
28.6%
T 36
28.6%
B 11
 
8.7%
S 8
 
6.3%
O 6
 
4.8%
C 4
 
3.2%
A 4
 
3.2%
W 3
 
2.4%
E 3
 
2.4%
I 3
 
2.4%
Other values (6) 12
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 1350
22.2%
2 841
13.8%
0 747
12.3%
3 667
11.0%
4 485
 
8.0%
5 423
 
7.0%
7 420
 
6.9%
6 391
 
6.4%
9 384
 
6.3%
8 367
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
50.0%
t 2
25.0%
k 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1285
99.5%
/ 7
 
0.5%
Space Separator
ValueCountFrequency (%)
6014
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23129
59.1%
Common 15848
40.5%
Latin 134
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1768
 
7.6%
부 1750
 
7.6%
동 1549
 
6.7%
시 1237
 
5.3%
광 1236
 
5.3%
구 1189
 
5.1%
역 1184
 
5.1%
로 1184
 
5.1%
대 687
 
3.0%
층 588
 
2.5%
Other values (324) 10757
46.5%
Latin
ValueCountFrequency (%)
K 36
26.9%
T 36
26.9%
B 11
 
8.2%
S 8
 
6.0%
O 6
 
4.5%
C 4
 
3.0%
A 4
 
3.0%
e 4
 
3.0%
W 3
 
2.2%
E 3
 
2.2%
Other values (9) 19
14.2%
Common
ValueCountFrequency (%)
6014
37.9%
1 1350
 
8.5%
, 1285
 
8.1%
( 1173
 
7.4%
) 1173
 
7.4%
2 841
 
5.3%
0 747
 
4.7%
3 667
 
4.2%
4 485
 
3.1%
5 423
 
2.7%
Other values (7) 1690
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23129
59.1%
ASCII 15982
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6014
37.6%
1 1350
 
8.4%
, 1285
 
8.0%
( 1173
 
7.3%
) 1173
 
7.3%
2 841
 
5.3%
0 747
 
4.7%
3 667
 
4.2%
4 485
 
3.0%
5 423
 
2.6%
Other values (26) 1824
 
11.4%
Hangul
ValueCountFrequency (%)
산 1768
 
7.6%
부 1750
 
7.6%
동 1549
 
6.7%
시 1237
 
5.3%
광 1236
 
5.3%
구 1189
 
5.1%
역 1184
 
5.1%
로 1184
 
5.1%
대 687
 
3.0%
층 588
 
2.5%
Other values (324) 10757
46.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct356
Distinct (%)58.6%
Missing642
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean335805.14
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:35.160293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46290.3
Q147542.5
median601706
Q3612811.5
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)565269

Descriptive statistics

Standard deviation282394.6
Coefficient of variation (CV)0.84094781
Kurtosis-2.0043364
Mean335805.14
Median Absolute Deviation (MAD)16134
Skewness-0.042623916
Sum2.0383372 × 108
Variance7.9746707 × 1010
MonotonicityNot monotonic
2024-04-17T15:10:35.263951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614853 18
 
1.4%
48059 17
 
1.4%
611839 17
 
1.4%
47596 9
 
0.7%
47257 7
 
0.6%
614870 6
 
0.5%
611831 6
 
0.5%
611820 6
 
0.5%
46569 6
 
0.5%
614776 6
 
0.5%
Other values (346) 509
40.8%
(Missing) 642
51.4%
ValueCountFrequency (%)
46008 1
0.1%
46009 1
0.1%
46021 1
0.1%
46033 1
0.1%
46037 1
0.1%
46040 1
0.1%
46067 2
0.2%
46070 1
0.1%
46084 1
0.1%
46204 2
0.2%
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

Distinct1190
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-04-17T15:10:35.489559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.7413931
Min length1

Characters and Unicode

Total characters9669
Distinct characters490
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

Unique1136 ?
Unique (%)91.0%

Sample

1st row코어(CORE)
2nd row(주)두성크리에이터
3rd row(주)야마야푸즈서비스
4th row(주)텔라이브
5th row한국사진기자협회 영남지사
ValueCountFrequency (%)
주식회사 168
 
10.7%
주 11
 
0.7%
대부중개 5
 
0.3%
주)티브로드 5
 
0.3%
농업회사법인 4
 
0.3%
부산지점 4
 
0.3%
유한회사 4
 
0.3%
모바일 4
 
0.3%
원영정보통신 3
 
0.2%
부산방송 3
 
0.2%
Other values (1270) 1360
86.6%
2024-04-17T15:10:35.845705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 664
 
6.9%
( 513
 
5.3%
) 513
 
5.3%
325
 
3.4%
이 300
 
3.1%
사 244
 
2.5%
스 244
 
2.5%
회 217
 
2.2%
식 193
 
2.0%
신 158
 
1.6%
Other values (480) 6298
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7890
81.6%
Open Punctuation 513
 
5.3%
Close Punctuation 513
 
5.3%
Space Separator 325
 
3.4%
Uppercase Letter 249
 
2.6%
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 664
 
8.4%
이 300
 
3.8%
사 244
 
3.1%
스 244
 
3.1%
회 217
 
2.8%
식 193
 
2.4%
신 158
 
2.0%
통 156
 
2.0%
부 132
 
1.7%
에 124
 
1.6%
Other values (418) 5458
69.2%
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%
O 12
 
4.8%
D 12
 
4.8%
Other values (16) 95
38.2%
Lowercase Letter
ValueCountFrequency (%)
o 14
14.7%
i 12
12.6%
n 11
11.6%
e 8
8.4%
s 8
8.4%
t 6
 
6.3%
u 5
 
5.3%
c 5
 
5.3%
d 5
 
5.3%
l 4
 
4.2%
Other values (11) 17
17.9%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
0 4
19.0%
2 3
 
14.3%
7 2
 
9.5%
5 2
 
9.5%
4 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 513
100.0%
Close Punctuation
ValueCountFrequency (%)
) 513
100.0%
Space Separator
ValueCountFrequency (%)
325
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7902
81.7%
Common 1423
 
14.7%
Latin 344
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 664
 
8.4%
이 300
 
3.8%
사 244
 
3.1%
스 244
 
3.1%
회 217
 
2.7%
식 193
 
2.4%
신 158
 
2.0%
통 156
 
2.0%
부 132
 
1.7%
에 124
 
1.6%
Other values (419) 5470
69.2%
Latin
ValueCountFrequency (%)
S 22
 
6.4%
M 20
 
5.8%
C 17
 
4.9%
T 16
 
4.7%
K 15
 
4.4%
o 14
 
4.1%
A 14
 
4.1%
L 13
 
3.8%
I 13
 
3.8%
O 12
 
3.5%
Other values (37) 188
54.7%
Common
ValueCountFrequency (%)
( 513
36.1%
) 513
36.1%
325
22.8%
. 24
 
1.7%
& 20
 
1.4%
1 8
 
0.6%
/ 4
 
0.3%
0 4
 
0.3%
2 3
 
0.2%
7 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7890
81.6%
ASCII 1767
 
18.3%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 664
 
8.4%
이 300
 
3.8%
사 244
 
3.1%
스 244
 
3.1%
회 217
 
2.8%
식 193
 
2.4%
신 158
 
2.0%
통 156
 
2.0%
부 132
 
1.7%
에 124
 
1.6%
Other values (418) 5458
69.2%
ASCII
ValueCountFrequency (%)
( 513
29.0%
) 513
29.0%
325
18.4%
. 24
 
1.4%
S 22
 
1.2%
M 20
 
1.1%
& 20
 
1.1%
C 17
 
1.0%
T 16
 
0.9%
K 15
 
0.8%
Other values (51) 282
16.0%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0139065 × 1013
Minimum2.0070731 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:35.968087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080821 × 1013
Q12.0110118 × 1013
median2.0140522 × 1013
Q32.0170227 × 1013
95-th percentile2.0200477 × 1013
Maximum2.0201231 × 1013
Range1.305 × 1011
Interquartile range (IQR)6.0108998 × 1010

Descriptive statistics

Standard deviation3.6883551 × 1010
Coefficient of variation (CV)0.0018314431
Kurtosis-1.0762468
Mean2.0139065 × 1013
Median Absolute Deviation (MAD)2.9980076 × 1010
Skewness0.0067290994
Sum2.5153692 × 1016
Variance1.3603963 × 1021
MonotonicityNot monotonic
2024-04-17T15:10:36.091111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20120522101049 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%
20130627140529 1
 
0.1%
Other values (1239) 1239
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 (%)
20201231145903 1
0.1%
20201228155703 1
0.1%
20201228141512 1
0.1%
20201224105731 1
0.1%
20201224101512 1
0.1%
20201221145732 1
0.1%
20201214163302 1
0.1%
20201207145106 1
0.1%
20201126161707 1
0.1%
20201120153710 1
0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
I
1116 
U
133 

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 1116
89.4%
U 133
 
10.6%

Length

2024-04-17T15:10:36.204570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:10:36.286731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1116
89.4%
u 133
 
10.6%

데이터갱신일자
Date

Distinct173
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-17T15:10:36.392048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:10:36.510774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1249
Missing (%)100.0%
Memory size11.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct775
Distinct (%)64.5%
Missing47
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean388716.14
Minimum373571.48
Maximum407240.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:36.629075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile381025.27
Q1387471.53
median388634.81
Q3390053.31
95-th percentile395384.85
Maximum407240.89
Range33669.414
Interquartile range (IQR)2581.781

Descriptive statistics

Standard deviation3960.2819
Coefficient of variation (CV)0.010188108
Kurtosis2.7081877
Mean388716.14
Median Absolute Deviation (MAD)1258.2458
Skewness0.28956094
Sum4.672368 × 108
Variance15683833
MonotonicityNot monotonic
2024-04-17T15:10:36.752279image/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 15
 
1.2%
387993.482649182 12
 
1.0%
387630.58080969 11
 
0.9%
393790.344709358 9
 
0.7%
392859.978697383 8
 
0.6%
388798.742326259 8
 
0.6%
395615.201853958 7
 
0.6%
387625.86797096 7
 
0.6%
Other values (765) 1083
86.7%
(Missing) 47
 
3.8%
ValueCountFrequency (%)
373571.480941768 1
0.1%
373988.512838888 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%
378797.34380015 1
0.1%
ValueCountFrequency (%)
407240.89489229 1
 
0.1%
407224.15471702 1
 
0.1%
407089.378718505 1
 
0.1%
403804.630703364 1
 
0.1%
402225.504544679 1
 
0.1%
401853.757726 1
 
0.1%
401682.975998888 1
 
0.1%
401447.637635904 1
 
0.1%
401438.30823867 1
 
0.1%
401374.625613159 5
0.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct774
Distinct (%)64.4%
Missing47
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean187825.54
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:36.873209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180759.86
Q1185582.98
median187658.4
Q3189704.15
95-th percentile195722.9
Maximum206343.36
Range31416.7
Interquartile range (IQR)4121.1673

Descriptive statistics

Standard deviation4238.5817
Coefficient of variation (CV)0.022566589
Kurtosis1.879023
Mean187825.54
Median Absolute Deviation (MAD)2055.3701
Skewness0.5547145
Sum2.257663 × 108
Variance17965574
MonotonicityNot monotonic
2024-04-17T15:10:36.997299image/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 15
 
1.2%
186876.485393314 12
 
1.0%
186409.994828231 11
 
0.9%
188235.889521484 9
 
0.7%
188328.743910701 8
 
0.6%
187523.604270761 8
 
0.6%
186406.750870936 7
 
0.6%
186117.09883859 7
 
0.6%
Other values (764) 1083
86.7%
(Missing) 47
 
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%
177507.608774077 1
 
0.1%
177623.034608355 3
0.2%
177937.719813596 1
 
0.1%
178056.319423167 1
 
0.1%
ValueCountFrequency (%)
206343.359052 1
 
0.1%
206281.265893726 1
 
0.1%
206018.426741087 1
 
0.1%
205478.96147021 1
 
0.1%
205403.743320692 1
 
0.1%
205025.456537 1
 
0.1%
203492.652003776 1
 
0.1%
201296.909639294 1
 
0.1%
200299.569671629 3
0.2%
199338.607183681 1
 
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct286
Distinct (%)41.3%
Missing557
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean9.4482985 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros69
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:37.424913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median50000000
Q33.0050749 × 108
95-th percentile4.7906412 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.8050749 × 108

Descriptive statistics

Standard deviation2.2212888 × 1012
Coefficient of variation (CV)23.509935
Kurtosis684.03481
Mean9.4482985 × 1010
Median Absolute Deviation (MAD)50000000
Skewness26.088761
Sum6.5382226 × 1013
Variance4.934124 × 1024
MonotonicityNot monotonic
2024-04-17T15:10:37.559493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 147
 
11.8%
0 69
 
5.5%
10000000 46
 
3.7%
100000000 36
 
2.9%
30000000 26
 
2.1%
20000000 25
 
2.0%
150000000 16
 
1.3%
1000000 9
 
0.7%
300000000 9
 
0.7%
200000000 8
 
0.6%
Other values (276) 301
24.1%
(Missing) 557
44.6%
ValueCountFrequency (%)
0 69
5.5%
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 

Distinct250
Distinct (%)36.3%
Missing560
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean8.445215 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros405
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-17T15:10:37.687907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.3136825 × 108
95-th percentile3.9293385 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.3136825 × 108

Descriptive statistics

Standard deviation2.0248989 × 1012
Coefficient of variation (CV)23.976878
Kurtosis681.80697
Mean8.445215 × 1010
Median Absolute Deviation (MAD)0
Skewness26.05234
Sum5.8187531 × 1013
Variance4.1002155 × 1024
MonotonicityNot monotonic
2024-04-17T15:10:37.826842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 405
32.4%
100000000 9
 
0.7%
50000000 7
 
0.6%
30000000 7
 
0.6%
20000000 6
 
0.5%
80000000 4
 
0.3%
10000000 4
 
0.3%
55000000 2
 
0.2%
16011376981 2
 
0.2%
150000000 2
 
0.2%
Other values (240) 241
19.3%
(Missing) 560
44.8%
ValueCountFrequency (%)
0 405
32.4%
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%
27235554227 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct141
Distinct (%)20.4%
Missing559
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean9.5366143 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros29
Zeros (%)2.3%
Negative3
Negative (%)0.2%
Memory size11.1 KiB
2024-04-17T15:10:37.951046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile117500
Q120000000
median50000000
Q31.5 × 108
95-th percentile1.2080233 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)1.3 × 108

Descriptive statistics

Standard deviation2.0215706 × 1011
Coefficient of variation (CV)21.197991
Kurtosis660.90309
Mean9.5366143 × 109
Median Absolute Deviation (MAD)40000000
Skewness25.49966
Sum6.5802639 × 1012
Variance4.0867478 × 1022
MonotonicityNot monotonic
2024-04-17T15:10:38.066599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 234
18.7%
10000000 65
 
5.2%
100000000 52
 
4.2%
150000000 38
 
3.0%
0 29
 
2.3%
30000000 29
 
2.3%
20000000 26
 
2.1%
300000000 19
 
1.5%
1000000 13
 
1.0%
5000000 11
 
0.9%
Other values (131) 174
 
13.9%
(Missing) 559
44.8%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-30721315 1
 
0.1%
0 29
2.3%
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 

Missing1249
Missing (%)100.0%
Memory size11.1 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1249
Missing (%)100.0%
Memory size11.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
01전화권유판매업08_26_03_P3250000201832500832420000120180314<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-466-0046<NA><NA>부산광역시 중구 중앙동4가 78-12부산광역시 중구 충장대로5번길 52, 남정빌딩 406호 (중앙동4가)48936코어(CORE)20201007125757U2020-10-09 02:40:00.0<NA>385811.634937180996.883871<NA><NA><NA><NA><NA>
12전화권유판매업08_26_03_P3250000200832500592420000120080416<NA>3폐업3폐업처리20100331<NA><NA><NA>051 710 0088<NA>600012부산광역시 중구 중앙동2가 10번지 대신증권빌딩 5층부산광역시 중구 해관로 34 (중앙동2가,대신증권빌딩 5층)<NA>(주)두성크리에이터20100331155844I2018-08-31 23:59:59.0<NA>385568.38851179981.05839450000000050000000<NA><NA>
23전화권유판매업08_26_03_P3250000200732500592420003220070507<NA>3폐업3폐업처리20090310<NA><NA><NA>051 465 2480<NA>600714부산광역시 중구 중앙동6가 69번지 1호 국제회관빌딩 9층부산광역시 중구 중앙대로 26 (중앙동6가,국제회관빌딩 9층)<NA>(주)야마야푸즈서비스20090311134734I2018-08-31 23:59:59.0<NA>385666.280865179774.15839628859957589283668222000000000<NA><NA>
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45전화권유판매업08_26_03_P3250000201332500832420000120130509<NA>3폐업3폐업처리20201228<NA><NA><NA>051-463-3556<NA><NA><NA>부산광역시 중구 중앙대로 87, 4층 (중앙동4가, 동아일보 부산사옥)600815한국사진기자협회 영남지사20201228141512U2020-12-30 02:40:00.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
56전화권유판매업08_26_03_P3250000200732500592420003420070716<NA>3폐업3폐업처리20080125<NA><NA><NA>051 441 2905<NA>600721부산광역시 중구 중앙동4가 89번지 2호 흥우빌딩 6층부산광역시 중구 중앙대로 96 (중앙동4가,흥우빌딩 6층)<NA>(주)유니원20080125141937I2018-08-31 23:59:59.0<NA>385614.928478180471.183034877495656549881097350000000<NA><NA>
67전화권유판매업08_26_03_P3250000201332500832420000220130621<NA>3폐업3폐업처리20141231<NA><NA><NA>051-464-5288<NA><NA><NA>부산광역시 중구 중앙대로 87, 4층 (중앙동4가, 동아일보부산사옥)600815한국조사기자협회 영남지부20141231101215I2018-08-31 23:59:59.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
78전화권유판매업08_26_03_P3250000200832500592420000320080428<NA>3폐업3폐업처리20080826<NA><NA><NA>051 711 3000<NA>600723부산광역시 중구 중앙동4가 89번지 14호 정석빌딩 905호부산광역시 중구 중앙대로 88, 905호 (중앙동4가,정석빌딩)<NA>(주)대광인베스트20080826151327I2018-08-31 23:59:59.0<NA>385616.660201180406.241288319817275329852750000000<NA><NA>
89전화권유판매업08_26_03_P3250000200832500592420000420080623<NA>3폐업3폐업처리20090617<NA><NA><NA>051 441 8837<NA>600110부산광역시 중구 영주동 280번지 11호부산광역시 중구 동영로 63 (영주동)<NA>늘푸른유통20111030150209I2018-08-31 23:59:59.0<NA>385156.035884180976.447427<NA><NA><NA><NA><NA>
910전화권유판매업08_26_03_P3250000201532500832420000120141120<NA>3폐업3폐업처리20171103<NA><NA><NA>413-0200<NA><NA><NA>부산광역시 중구 충장대로5번길 72, 4층 (중앙동4가, KT서부산지사)48934승리닷컴20171103093638I2018-08-31 23:59:59.0<NA>385811.634937180996.883871<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12391240전화권유판매업08_26_03_P3330000200833300822420000820081015<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>612816부산광역시 해운대구 반여동 1588번지 26호 13통 3반 301호부산광역시 해운대구 재반로256번길 51-18, 301호 (반여동)<NA>리버비즈넷20151221165220I2018-08-31 23:59:59.0<NA>394323.178469191066.300304<NA><NA><NA><NA><NA>
12401241전화권유판매업08_26_03_P3330000200833300822420001020081211<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-747-0734<NA>612010부산광역시 해운대구 중동 1766-6 영풍리젠시 702호<NA><NA>그루정보(주)20151221165108I2018-08-31 23:59:59.0<NA><NA><NA>000<NA><NA>
12411242전화권유판매업08_26_03_P3330000200933300822420000120070828<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-818-7049<NA>612080부산광역시 해운대구 반송동 250-1882<NA><NA>(주)푸른솔20151221164929I2018-08-31 23:59:59.0<NA><NA><NA>318093009108794916150000000<NA><NA>
12421243전화권유판매업08_26_03_P3330000200933300822420000520090825<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-906-8554<NA>612020부산광역시 해운대구 우동 1078-1 신세계프라자3층<NA><NA>주식회사 에스플러스 부산지점20151221164833I2018-08-31 23:59:59.0<NA><NA><NA>4000000000400000000<NA><NA>
12431244전화권유판매업08_26_03_P3330000201033301032420000220100208<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>906-8514<NA>612020부산광역시 해운대구 우동 1078번지 1호 신세계프라자 309호부산광역시 해운대구 해운대로 407 (우동,신세계프라자 309호)<NA>라온정보통신20151221164730I2018-08-31 23:59:59.0<NA>394974.292766187505.19499<NA><NA><NA><NA><NA>
12441245전화권유판매업08_26_03_P3330000201033301032420000320100216<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>612060부산광역시 해운대구 반여동 1477번지 4호 106부산광역시 해운대구 해운대로 11 (반여동,106)<NA>글로벌 정보통신20151221164640I2018-08-31 23:59:59.0<NA>392600.90591190451.876488<NA><NA><NA><NA><NA>
12451246전화권유판매업08_26_03_P3330000200933300822420000320090323<NA>4취소/말소/만료/정지/중지7직권말소20101207<NA><NA><NA>070-8255-3250<NA>612020부산광역시 해운대구 우동 1410-1 해운대두산위브포세이돈 102-2603<NA><NA>창20110114152413I2018-08-31 23:59:59.0<NA><NA><NA>50000000050000000<NA><NA>
12461247전화권유판매업08_26_03_P3330000201033301032420000620100427<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>711-0003<NA>612020부산광역시 해운대구 우동 1516번지 센텀타워메디칼부산광역시 해운대구 센텀2로 20 (우동,센텀타워메디칼)<NA>(주)부동산코리아20151221164425I2018-08-31 23:59:59.0<NA>394176.848642187415.090101000<NA><NA>
12471248전화권유판매업08_26_03_P3330000201133301032420000520110218<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>070-7644-0520<NA>612040부산광역시 해운대구 송정동 311번지 16호 10통 1반부산광역시 해운대구 송정광어골로 24-8 (송정동)<NA>백송텔레콤20151221164223I2018-08-31 23:59:59.0<NA>400121.762501188911.107532<NA><NA><NA><NA><NA>
12481249전화권유판매업08_26_03_P3330000201833301322420000520181005<NA>4취소/말소/만료/정지/중지7직권말소20191219<NA><NA><NA>051-746-9630<NA><NA>부산광역시 해운대구 우동 1454번지 벽산이센텀클래스원2차부산광역시 해운대구 센텀동로 71, 벽산이센텀클래스원2차 1003호 (우동)48059시제이 헬로고 해운대 기장방송20191224144635U2019-12-26 02:40:00.0<NA>393790.344709188235.889521<NA><NA><NA><NA><NA>