Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells116373
Missing cells (%)35.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory293.0 B

Variable types

Numeric15
Categorical8
Text4
Unsupported5
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123128

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
판매방식명 is highly imbalanced (90.0%)Imbalance
인허가취소일자 has 9879 (98.8%) missing valuesMissing
폐업일자 has 7977 (79.8%) missing valuesMissing
휴업시작일자 has 9973 (99.7%) missing valuesMissing
휴업종료일자 has 9974 (99.7%) missing valuesMissing
재개업일자 has 9989 (99.9%) missing valuesMissing
소재지전화 has 5520 (55.2%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7570 (75.7%) missing valuesMissing
소재지전체주소 has 2724 (27.2%) missing valuesMissing
도로명전체주소 has 305 (3.0%) missing valuesMissing
도로명우편번호 has 1918 (19.2%) missing valuesMissing
좌표정보(x) has 272 (2.7%) missing valuesMissing
좌표정보(y) has 272 (2.7%) missing valuesMissing
자산규모 has 10000 (100.0%) missing valuesMissing
부채총액 has 10000 (100.0%) missing valuesMissing
자본금 has 10000 (100.0%) missing valuesMissing
Unnamed: 32 has 10000 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -21.0455387)Skewed
좌표정보(x) is highly skewed (γ1 = -27.1878604)Skewed
좌표정보(y) is highly skewed (γ1 = 23.48395301)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
자산규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부채총액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 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

Reproduction

Analysis started2024-04-22 00:46:32.831665
Analysis finished2024-04-22 00:46:34.726131
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13216.358
Minimum1
Maximum26537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:34.791750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1349.9
Q16687.75
median13190
Q319729.75
95-th percentile25196.05
Maximum26537
Range26536
Interquartile range (IQR)13042

Descriptive statistics

Standard deviation7624.756
Coefficient of variation (CV)0.57691811
Kurtosis-1.184674
Mean13216.358
Median Absolute Deviation (MAD)6523
Skewness0.015187397
Sum1.3216358 × 108
Variance58136904
MonotonicityNot monotonic
2024-04-22T09:46:34.952840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9684 1
 
< 0.1%
7214 1
 
< 0.1%
20504 1
 
< 0.1%
17146 1
 
< 0.1%
2847 1
 
< 0.1%
25612 1
 
< 0.1%
23773 1
 
< 0.1%
6340 1
 
< 0.1%
1695 1
 
< 0.1%
15045 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
17 1
< 0.1%
23 1
< 0.1%
ValueCountFrequency (%)
26537 1
< 0.1%
26532 1
< 0.1%
26529 1
< 0.1%
26526 1
< 0.1%
26525 1
< 0.1%
26523 1
< 0.1%
26519 1
< 0.1%
26518 1
< 0.1%
26509 1
< 0.1%
26507 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
통신판매업
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통신판매업 10000
100.0%

Length

2024-04-22T09:46:35.079108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:46:35.167218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통신판매업 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
08_26_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_04_P
2nd row08_26_04_P
3rd row08_26_04_P
4th row08_26_04_P
5th row08_26_04_P

Common Values

ValueCountFrequency (%)
08_26_04_P 10000
100.0%

Length

2024-04-22T09:46:35.257259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:46:35.356548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3285727
Minimum3250000
Maximum3310000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:35.441809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13270000
median3290000
Q33300000
95-th percentile3310000
Maximum3310000
Range60000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation17853.385
Coefficient of variation (CV)0.0054336178
Kurtosis-0.50253959
Mean3285727
Median Absolute Deviation (MAD)10000
Skewness-0.68299518
Sum3.285727 × 1010
Variance3.1874335 × 108
MonotonicityNot monotonic
2024-04-22T09:46:35.550441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3290000 3671
36.7%
3300000 1895
18.9%
3310000 1224
 
12.2%
3270000 1057
 
10.6%
3250000 1043
 
10.4%
3260000 610
 
6.1%
3280000 500
 
5.0%
ValueCountFrequency (%)
3250000 1043
 
10.4%
3260000 610
 
6.1%
3270000 1057
 
10.6%
3280000 500
 
5.0%
3290000 3671
36.7%
3300000 1895
18.9%
3310000 1224
 
12.2%
ValueCountFrequency (%)
3310000 1224
 
12.2%
3300000 1895
18.9%
3290000 3671
36.7%
3280000 500
 
5.0%
3270000 1057
 
10.6%
3260000 610
 
6.1%
3250000 1043
 
10.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156462 × 1018
Minimum2.000329 × 1018
Maximum2.021331 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:35.699654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.000329 × 1018
5-th percentile2.00733 × 1018
Q12.012329 × 1018
median2.016331 × 1018
Q32.01933 × 1018
95-th percentile2.020331 × 1018
Maximum2.021331 × 1018
Range2.1002003 × 1016
Interquartile range (IQR)7.0010014 × 1015

Descriptive statistics

Standard deviation4.3829221 × 1015
Coefficient of variation (CV)0.0021744501
Kurtosis-0.71174286
Mean2.0156462 × 1018
Median Absolute Deviation (MAD)3.0040002 × 1015
Skewness-0.61260299
Sum-5.8294442 × 1018
Variance1.9210006 × 1031
MonotonicityNot monotonic
2024-04-22T09:46:35.844127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018329012830200725 1
 
< 0.1%
2014327008630200047 1
 
< 0.1%
2018330009930200516 1
 
< 0.1%
2014329010730200287 1
 
< 0.1%
2017326009730200100 1
 
< 0.1%
2020331010030200080 1
 
< 0.1%
2017331008830200143 1
 
< 0.1%
2011327008630200107 1
 
< 0.1%
2007325005930200618 1
 
< 0.1%
2018329012830200274 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2000329008530200000 1
< 0.1%
2000330006430200388 1
< 0.1%
2001329008530200451 1
< 0.1%
2001330006430200702 1
< 0.1%
2002327007130201507 1
< 0.1%
2002328007030201482 1
< 0.1%
2002330006430200875 1
< 0.1%
2002330006430200915 1
< 0.1%
2002330006430200990 1
< 0.1%
2002330006430200994 1
< 0.1%
ValueCountFrequency (%)
2021331011930200289 1
< 0.1%
2021331011930200286 1
< 0.1%
2021331011930200285 1
< 0.1%
2021331011930200282 1
< 0.1%
2021331011930200263 1
< 0.1%
2021331011930200249 1
< 0.1%
2021331011930200248 1
< 0.1%
2021331011930200236 1
< 0.1%
2021331011930200234 1
< 0.1%
2021331011930200226 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3359
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20152119
Minimum20000821
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:35.988413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000821
5-th percentile20071009
Q120120208
median20160816
Q320190709
95-th percentile20201204
Maximum20210331
Range209510
Interquartile range (IQR)70501.25

Descriptive statistics

Standard deviation44089.054
Coefficient of variation (CV)0.0021878123
Kurtosis-0.76682174
Mean20152119
Median Absolute Deviation (MAD)30511.5
Skewness-0.57169903
Sum2.0152119 × 1011
Variance1.9438446 × 109
MonotonicityNot monotonic
2024-04-22T09:46:36.120756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210104 18
 
0.2%
20200902 17
 
0.2%
20200423 16
 
0.2%
20191230 16
 
0.2%
20200907 16
 
0.2%
20210304 15
 
0.1%
20201207 15
 
0.1%
20200522 14
 
0.1%
20200922 14
 
0.1%
20200317 13
 
0.1%
Other values (3349) 9846
98.5%
ValueCountFrequency (%)
20000821 1
< 0.1%
20010212 1
< 0.1%
20010927 1
< 0.1%
20020110 1
< 0.1%
20020128 1
< 0.1%
20020304 1
< 0.1%
20020530 1
< 0.1%
20020722 1
< 0.1%
20020927 1
< 0.1%
20021031 1
< 0.1%
ValueCountFrequency (%)
20210331 12
0.1%
20210330 6
0.1%
20210329 5
0.1%
20210326 9
0.1%
20210325 8
0.1%
20210324 4
 
< 0.1%
20210323 7
0.1%
20210322 5
0.1%
20210319 4
 
< 0.1%
20210318 5
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)20.7%
Missing9879
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20101923
Minimum20080908
Maximum20210215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:36.269547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080908
5-th percentile20080908
Q120100713
median20100713
Q320101206
95-th percentile20130814
Maximum20210215
Range129307
Interquartile range (IQR)493

Descriptive statistics

Standard deviation15656.116
Coefficient of variation (CV)0.00077883673
Kurtosis20.123203
Mean20101923
Median Absolute Deviation (MAD)17
Skewness3.5545358
Sum2.4323327 × 109
Variance2.4511397 × 108
MonotonicityNot monotonic
2024-04-22T09:46:36.402429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20100713 41
 
0.4%
20100730 27
 
0.3%
20101231 11
 
0.1%
20101206 10
 
0.1%
20080908 10
 
0.1%
20091006 2
 
< 0.1%
20081209 2
 
< 0.1%
20140425 1
 
< 0.1%
20151120 1
 
< 0.1%
20091120 1
 
< 0.1%
Other values (15) 15
 
0.1%
(Missing) 9879
98.8%
ValueCountFrequency (%)
20080908 10
 
0.1%
20081209 2
 
< 0.1%
20090123 1
 
< 0.1%
20090921 1
 
< 0.1%
20091006 2
 
< 0.1%
20091112 1
 
< 0.1%
20091120 1
 
< 0.1%
20100326 1
 
< 0.1%
20100413 1
 
< 0.1%
20100713 41
0.4%
ValueCountFrequency (%)
20210215 1
< 0.1%
20151120 1
< 0.1%
20151013 1
< 0.1%
20141202 1
< 0.1%
20140425 1
< 0.1%
20131230 1
< 0.1%
20130814 1
< 0.1%
20130621 1
< 0.1%
20130617 1
< 0.1%
20121130 1
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5494 
4
2468 
3
2023 
2
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
1 5494
54.9%
4 2468
24.7%
3 2023
 
20.2%
2 15
 
0.1%

Length

2024-04-22T09:46:36.524843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:46:36.617584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5494
54.9%
4 2468
24.7%
3 2023
 
20.2%
2 15
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5494 
취소/말소/만료/정지/중지
2468 
폐업
2023 
휴업
 
15

Length

Max length14
Median length5
Mean length6.6098
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5494
54.9%
취소/말소/만료/정지/중지 2468
24.7%
폐업 2023
 
20.2%
휴업 15
 
0.1%

Length

2024-04-22T09:46:36.737184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:46:36.869408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5494
54.9%
취소/말소/만료/정지/중지 2468
24.7%
폐업 2023
 
20.2%
휴업 15
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8521
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:36.962125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4385693
Coefficient of variation (CV)0.85500835
Kurtosis-0.85057781
Mean2.8521
Median Absolute Deviation (MAD)0
Skewness0.91662292
Sum28521
Variance5.9466203
MonotonicityNot monotonic
2024-04-22T09:46:37.064991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5491
54.9%
7 2347
23.5%
3 2023
 
20.2%
4 121
 
1.2%
2 15
 
0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
1 5491
54.9%
2 15
 
0.1%
3 2023
 
20.2%
4 121
 
1.2%
6 3
 
< 0.1%
7 2347
23.5%
ValueCountFrequency (%)
7 2347
23.5%
6 3
 
< 0.1%
4 121
 
1.2%
3 2023
 
20.2%
2 15
 
0.1%
1 5491
54.9%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
5491 
직권말소
2347 
폐업처리
2023 
직권취소
 
121
휴업처리
 
15

Length

Max length6
Median length4
Mean length4.0006
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 5491
54.9%
직권말소 2347
23.5%
폐업처리 2023
 
20.2%
직권취소 121
 
1.2%
휴업처리 15
 
0.1%
타시군구전입 3
 
< 0.1%

Length

2024-04-22T09:46:37.186244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:46:37.297419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 5491
54.9%
직권말소 2347
23.5%
폐업처리 2023
 
20.2%
직권취소 121
 
1.2%
휴업처리 15
 
0.1%
타시군구전입 3
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1420
Distinct (%)70.2%
Missing7977
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean20147661
Minimum20070529
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:37.435628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070529
5-th percentile20081105
Q120110615
median20150326
Q320190166
95-th percentile20201229
Maximum20210331
Range139802
Interquartile range (IQR)79551

Descriptive statistics

Standard deviation41318.871
Coefficient of variation (CV)0.0020508024
Kurtosis-1.314386
Mean20147661
Median Absolute Deviation (MAD)39801
Skewness-0.0973883
Sum4.0758719 × 1010
Variance1.7072491 × 109
MonotonicityNot monotonic
2024-04-22T09:46:37.605747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190628 14
 
0.1%
20151231 8
 
0.1%
20201230 8
 
0.1%
20200324 7
 
0.1%
20201228 6
 
0.1%
20210201 6
 
0.1%
20201231 6
 
0.1%
20180131 6
 
0.1%
20141231 6
 
0.1%
20090311 5
 
0.1%
Other values (1410) 1951
 
19.5%
(Missing) 7977
79.8%
ValueCountFrequency (%)
20070529 1
< 0.1%
20070618 1
< 0.1%
20070619 2
< 0.1%
20070625 1
< 0.1%
20070706 1
< 0.1%
20070710 1
< 0.1%
20070807 1
< 0.1%
20070813 1
< 0.1%
20070917 1
< 0.1%
20070920 1
< 0.1%
ValueCountFrequency (%)
20210331 1
< 0.1%
20210330 1
< 0.1%
20210326 1
< 0.1%
20210325 1
< 0.1%
20210324 1
< 0.1%
20210323 1
< 0.1%
20210322 2
< 0.1%
20210320 1
< 0.1%
20210318 1
< 0.1%
20210317 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing9973
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20139531
Minimum20080205
Maximum20210305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:37.972632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080205
5-th percentile20080554
Q120100409
median20131223
Q320190955
95-th percentile20210213
Maximum20210305
Range130100
Interquartile range (IQR)90546

Descriptive statistics

Standard deviation49061.194
Coefficient of variation (CV)0.0024360643
Kurtosis-1.5822096
Mean20139531
Median Absolute Deviation (MAD)40211
Skewness0.31270553
Sum5.4376734 × 108
Variance2.4070007 × 109
MonotonicityNot monotonic
2024-04-22T09:46:38.102106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20100526 1
 
< 0.1%
20100301 1
 
< 0.1%
20090717 1
 
< 0.1%
20201205 1
 
< 0.1%
20131223 1
 
< 0.1%
20160101 1
 
< 0.1%
20110310 1
 
< 0.1%
20200703 1
 
< 0.1%
20201204 1
 
< 0.1%
20080527 1
 
< 0.1%
Other values (17) 17
 
0.2%
(Missing) 9973
99.7%
ValueCountFrequency (%)
20080205 1
< 0.1%
20080527 1
< 0.1%
20080618 1
< 0.1%
20090626 1
< 0.1%
20090717 1
< 0.1%
20091012 1
< 0.1%
20100301 1
< 0.1%
20100517 1
< 0.1%
20100526 1
< 0.1%
20100809 1
< 0.1%
ValueCountFrequency (%)
20210305 1
< 0.1%
20210216 1
< 0.1%
20210205 1
< 0.1%
20210104 1
< 0.1%
20201205 1
< 0.1%
20201204 1
< 0.1%
20200703 1
< 0.1%
20181207 1
< 0.1%
20170619 1
< 0.1%
20160225 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing9974
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20149656
Minimum20080804
Maximum20230205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:38.271632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080804
5-th percentile20083698
Q120110302
median20141226
Q320201098
95-th percentile20225380
Maximum20230205
Range149401
Interquartile range (IQR)90796

Descriptive statistics

Standard deviation50980.21
Coefficient of variation (CV)0.0025300784
Kurtosis-1.5350071
Mean20149656
Median Absolute Deviation (MAD)40345.5
Skewness0.22573788
Sum5.2389105 × 108
Variance2.5989818 × 109
MonotonicityNot monotonic
2024-04-22T09:46:38.423410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20141231 1
 
< 0.1%
20110228 1
 
< 0.1%
20091231 1
 
< 0.1%
20210630 1
 
< 0.1%
20141222 1
 
< 0.1%
20161231 1
 
< 0.1%
20110531 1
 
< 0.1%
20201231 1
 
< 0.1%
20211130 1
 
< 0.1%
20100531 1
 
< 0.1%
Other values (16) 16
 
0.2%
(Missing) 9974
99.7%
ValueCountFrequency (%)
20080804 1
< 0.1%
20081220 1
< 0.1%
20091130 1
< 0.1%
20091231 1
< 0.1%
20100531 1
< 0.1%
20101231 1
< 0.1%
20110228 1
< 0.1%
20110526 1
< 0.1%
20110531 1
< 0.1%
20110930 1
< 0.1%
ValueCountFrequency (%)
20230205 1
< 0.1%
20230130 1
< 0.1%
20211130 1
< 0.1%
20210916 1
< 0.1%
20210701 1
< 0.1%
20210630 1
< 0.1%
20201231 1
< 0.1%
20200701 1
< 0.1%
20180618 1
< 0.1%
20180224 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing9989
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20158803
Minimum20071001
Maximum20210107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:38.544873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071001
5-th percentile20081056
Q120105412
median20190305
Q320200760
95-th percentile20205616
Maximum20210107
Range139106
Interquartile range (IQR)95348

Descriptive statistics

Standard deviation53341.891
Coefficient of variation (CV)0.0026460842
Kurtosis-1.5363222
Mean20158803
Median Absolute Deviation (MAD)10819
Skewness-0.69917347
Sum2.2174683 × 108
Variance2.8453574 × 109
MonotonicityNot monotonic
2024-04-22T09:46:38.642675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20200813 1
 
< 0.1%
20100217 1
 
< 0.1%
20210107 1
 
< 0.1%
20190613 1
 
< 0.1%
20190305 1
 
< 0.1%
20201124 1
 
< 0.1%
20071001 1
 
< 0.1%
20180226 1
 
< 0.1%
20200708 1
 
< 0.1%
20110608 1
 
< 0.1%
(Missing) 9989
99.9%
ValueCountFrequency (%)
20071001 1
< 0.1%
20091112 1
< 0.1%
20100217 1
< 0.1%
20110608 1
< 0.1%
20180226 1
< 0.1%
20190305 1
< 0.1%
20190613 1
< 0.1%
20200708 1
< 0.1%
20200813 1
< 0.1%
20201124 1
< 0.1%
ValueCountFrequency (%)
20210107 1
< 0.1%
20201124 1
< 0.1%
20200813 1
< 0.1%
20200708 1
< 0.1%
20190613 1
< 0.1%
20190305 1
< 0.1%
20180226 1
< 0.1%
20110608 1
< 0.1%
20100217 1
< 0.1%
20091112 1
< 0.1%

소재지전화
Text

MISSING 

Distinct4405
Distinct (%)98.3%
Missing5520
Missing (%)55.2%
Memory size156.2 KiB
2024-04-22T09:46:38.863231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.312723
Min length1

Characters and Unicode

Total characters50681
Distinct characters20
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4331 ?
Unique (%)96.7%

Sample

1st row051-819-0627
2nd row051 247 5212
3rd row051-633-8630
4th row070-4150-4479
5th row051-610-1996
ValueCountFrequency (%)
051 270
 
5.4%
466 14
 
0.3%
462 12
 
0.2%
463 11
 
0.2%
465 11
 
0.2%
244 10
 
0.2%
070 9
 
0.2%
245 8
 
0.2%
464 7
 
0.1%
246 7
 
0.1%
Other values (4479) 4644
92.8%
2024-04-22T09:46:39.315825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7871
15.5%
- 7125
14.1%
5 6248
12.3%
1 5696
11.2%
7 3860
7.6%
8 3665
7.2%
2 3534
7.0%
4 3411
6.7%
6 3375
6.7%
3 2855
 
5.6%
Other values (10) 3041
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42930
84.7%
Dash Punctuation 7125
 
14.1%
Space Separator 525
 
1.0%
Close Punctuation 74
 
0.1%
Math Symbol 14
 
< 0.1%
Other Punctuation 12
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7871
18.3%
5 6248
14.6%
1 5696
13.3%
7 3860
9.0%
8 3665
8.5%
2 3534
8.2%
4 3411
7.9%
6 3375
7.9%
3 2855
 
6.7%
9 2415
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
. 1
 
8.3%
; 1
 
8.3%
* 1
 
8.3%
/ 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 7125
100.0%
Space Separator
ValueCountFrequency (%)
525
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50681
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7871
15.5%
- 7125
14.1%
5 6248
12.3%
1 5696
11.2%
7 3860
7.6%
8 3665
7.2%
2 3534
7.0%
4 3411
6.7%
6 3375
6.7%
3 2855
 
5.6%
Other values (10) 3041
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7871
15.5%
- 7125
14.1%
5 6248
12.3%
1 5696
11.2%
7 3860
7.6%
8 3665
7.2%
2 3534
7.0%
4 3411
6.7%
6 3375
6.7%
3 2855
 
5.6%
Other values (10) 3041
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct501
Distinct (%)20.6%
Missing7570
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean607289.55
Minimum49094
Maximum621831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:39.469272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49094
5-th percentile600074
Q1602261.5
median607823
Q3614040
95-th percentile614856
Maximum621831
Range572737
Interquartile range (IQR)11778.5

Descriptive statistics

Standard deviation21479.363
Coefficient of variation (CV)0.035369229
Kurtosis486.41139
Mean607289.55
Median Absolute Deviation (MAD)6197
Skewness-21.045539
Sum1.4757136 × 109
Variance4.6136304 × 108
MonotonicityNot monotonic
2024-04-22T09:46:39.606926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607060 101
 
1.0%
614030 99
 
1.0%
614040 89
 
0.9%
614020 64
 
0.6%
614050 55
 
0.5%
607120 47
 
0.5%
608020 46
 
0.5%
607100 45
 
0.4%
614110 39
 
0.4%
601060 38
 
0.4%
Other values (491) 1807
 
18.1%
(Missing) 7570
75.7%
ValueCountFrequency (%)
49094 1
 
< 0.1%
121887 1
 
< 0.1%
130020 1
 
< 0.1%
143200 1
 
< 0.1%
425809 1
 
< 0.1%
464100 1
 
< 0.1%
530350 1
 
< 0.1%
600011 5
0.1%
600012 4
< 0.1%
600013 7
0.1%
ValueCountFrequency (%)
621831 1
 
< 0.1%
617832 1
 
< 0.1%
617808 1
 
< 0.1%
614882 3
 
< 0.1%
614880 1
 
< 0.1%
614879 2
 
< 0.1%
614878 1
 
< 0.1%
614876 10
0.1%
614875 4
 
< 0.1%
614874 4
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct6022
Distinct (%)82.8%
Missing2724
Missing (%)27.2%
Memory size156.2 KiB
2024-04-22T09:46:39.968780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length27.043018
Min length7

Characters and Unicode

Total characters196765
Distinct characters531
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5400 ?
Unique (%)74.2%

Sample

1st row부산광역시 부산진구 전포동 587번지 서면롯데캐슬스카이
2nd row부산광역시 부산진구 부전동 474번지 80호 유원골든오피스텔 1703호
3rd row부산광역시 중구 부평동2가 2번지 월드밸리 5층 501호
4th row부산광역시 부산진구 전포동 661번지 2호 예일프라자 213호
5th row부산광역시 금정구 부곡동 298-17번지
ValueCountFrequency (%)
부산광역시 7190
 
17.6%
부산진구 2541
 
6.2%
동래구 1464
 
3.6%
남구 892
 
2.2%
동구 759
 
1.9%
1호 742
 
1.8%
중구 706
 
1.7%
전포동 527
 
1.3%
부전동 460
 
1.1%
서구 444
 
1.1%
Other values (5375) 25211
61.6%
2024-04-22T09:46:40.483726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33748
 
17.2%
부 10728
 
5.5%
동 10580
 
5.4%
산 10065
 
5.1%
1 8142
 
4.1%
시 7486
 
3.8%
광 7301
 
3.7%
구 7246
 
3.7%
역 7242
 
3.7%
호 6189
 
3.1%
Other values (521) 88038
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122359
62.2%
Decimal Number 38305
 
19.5%
Space Separator 33748
 
17.2%
Dash Punctuation 1372
 
0.7%
Uppercase Letter 718
 
0.4%
Other Punctuation 107
 
0.1%
Lowercase Letter 73
 
< 0.1%
Close Punctuation 32
 
< 0.1%
Open Punctuation 32
 
< 0.1%
Letter Number 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 10728
 
8.8%
동 10580
 
8.6%
산 10065
 
8.2%
시 7486
 
6.1%
광 7301
 
6.0%
구 7246
 
5.9%
역 7242
 
5.9%
호 6189
 
5.1%
지 6127
 
5.0%
번 5730
 
4.7%
Other values (458) 43665
35.7%
Uppercase Letter
ValueCountFrequency (%)
S 111
15.5%
K 105
14.6%
B 71
9.9%
A 57
 
7.9%
T 46
 
6.4%
H 45
 
6.3%
G 35
 
4.9%
U 33
 
4.6%
L 27
 
3.8%
I 27
 
3.8%
Other values (14) 161
22.4%
Lowercase Letter
ValueCountFrequency (%)
e 16
21.9%
l 16
21.9%
i 10
13.7%
o 7
9.6%
a 5
 
6.8%
s 5
 
6.8%
v 4
 
5.5%
c 1
 
1.4%
j 1
 
1.4%
n 1
 
1.4%
Other values (7) 7
9.6%
Decimal Number
ValueCountFrequency (%)
1 8142
21.3%
2 5410
14.1%
3 4225
11.0%
4 3663
9.6%
0 3427
8.9%
5 3386
8.8%
6 2968
 
7.7%
7 2585
 
6.7%
8 2444
 
6.4%
9 2055
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 65
60.7%
/ 20
 
18.7%
. 7
 
6.5%
@ 6
 
5.6%
& 6
 
5.6%
· 3
 
2.8%
Space Separator
ValueCountFrequency (%)
33748
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1372
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122357
62.2%
Common 73601
37.4%
Latin 805
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 10728
 
8.8%
동 10580
 
8.6%
산 10065
 
8.2%
시 7486
 
6.1%
광 7301
 
6.0%
구 7246
 
5.9%
역 7242
 
5.9%
호 6189
 
5.1%
지 6127
 
5.0%
번 5730
 
4.7%
Other values (457) 43663
35.7%
Latin
ValueCountFrequency (%)
S 111
13.8%
K 105
13.0%
B 71
 
8.8%
A 57
 
7.1%
T 46
 
5.7%
H 45
 
5.6%
G 35
 
4.3%
U 33
 
4.1%
L 27
 
3.4%
I 27
 
3.4%
Other values (32) 248
30.8%
Common
ValueCountFrequency (%)
33748
45.9%
1 8142
 
11.1%
2 5410
 
7.4%
3 4225
 
5.7%
4 3663
 
5.0%
0 3427
 
4.7%
5 3386
 
4.6%
6 2968
 
4.0%
7 2585
 
3.5%
8 2444
 
3.3%
Other values (11) 3603
 
4.9%
Han
ValueCountFrequency (%)
秀 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122357
62.2%
ASCII 74389
37.8%
Number Forms 14
 
< 0.1%
None 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33748
45.4%
1 8142
 
10.9%
2 5410
 
7.3%
3 4225
 
5.7%
4 3663
 
4.9%
0 3427
 
4.6%
5 3386
 
4.6%
6 2968
 
4.0%
7 2585
 
3.5%
8 2444
 
3.3%
Other values (51) 4391
 
5.9%
Hangul
ValueCountFrequency (%)
부 10728
 
8.8%
동 10580
 
8.6%
산 10065
 
8.2%
시 7486
 
6.1%
광 7301
 
6.0%
구 7246
 
5.9%
역 7242
 
5.9%
호 6189
 
5.1%
지 6127
 
5.0%
번 5730
 
4.7%
Other values (457) 43663
35.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 14
100.0%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
秀 2
100.0%

도로명전체주소
Text

MISSING 

Distinct9392
Distinct (%)96.9%
Missing305
Missing (%)3.0%
Memory size156.2 KiB
2024-04-22T09:46:40.844968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length51
Mean length35.294482
Min length14

Characters and Unicode

Total characters342180
Distinct characters605
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9131 ?
Unique (%)94.2%

Sample

1st row부산광역시 부산진구 전포대로275번길 20, 102동 1614호 (전포동, 서면롯데캐슬스카이)
2nd row부산광역시 부산진구 서면문화로 27, 1703호 (부전동, 유원골든오피스텔)
3rd row부산광역시 중구 대청로 60, 501호 (부평동2가,월드밸리 5층)
4th row부산광역시 동구 성북로 29, 203호 (좌천동, 일삼아파트)
5th row부산광역시 부산진구 서전로37번길 25-9, 213호 (전포동,예일프라자)
ValueCountFrequency (%)
부산광역시 9690
 
15.3%
부산진구 3570
 
5.6%
동래구 1842
 
2.9%
남구 1220
 
1.9%
중구 1006
 
1.6%
동구 989
 
1.6%
1층 798
 
1.3%
부전동 664
 
1.0%
전포동 641
 
1.0%
서구 583
 
0.9%
Other values (7730) 42414
66.9%
2024-04-22T09:46:41.347332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53738
 
15.7%
동 16293
 
4.8%
부 14963
 
4.4%
1 14534
 
4.2%
산 13800
 
4.0%
, 10893
 
3.2%
시 10383
 
3.0%
광 10176
 
3.0%
구 10039
 
2.9%
역 9757
 
2.9%
Other values (595) 177604
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194068
56.7%
Decimal Number 60711
 
17.7%
Space Separator 53738
 
15.7%
Other Punctuation 10941
 
3.2%
Open Punctuation 9719
 
2.8%
Close Punctuation 9719
 
2.8%
Dash Punctuation 2039
 
0.6%
Uppercase Letter 1099
 
0.3%
Lowercase Letter 115
 
< 0.1%
Letter Number 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16293
 
8.4%
부 14963
 
7.7%
산 13800
 
7.1%
시 10383
 
5.4%
광 10176
 
5.2%
구 10039
 
5.2%
역 9757
 
5.0%
로 9567
 
4.9%
호 5351
 
2.8%
길 4909
 
2.5%
Other values (522) 88830
45.8%
Uppercase Letter
ValueCountFrequency (%)
B 185
16.8%
S 142
12.9%
K 123
11.2%
A 116
10.6%
C 64
 
5.8%
T 52
 
4.7%
H 51
 
4.6%
L 46
 
4.2%
G 39
 
3.5%
D 37
 
3.4%
Other values (15) 244
22.2%
Lowercase Letter
ValueCountFrequency (%)
e 20
17.4%
l 15
13.0%
i 12
10.4%
a 11
9.6%
o 9
7.8%
s 8
 
7.0%
c 6
 
5.2%
b 6
 
5.2%
r 4
 
3.5%
v 4
 
3.5%
Other values (13) 20
17.4%
Decimal Number
ValueCountFrequency (%)
1 14534
23.9%
2 8988
14.8%
0 7993
13.2%
3 6743
11.1%
4 5085
 
8.4%
5 4421
 
7.3%
6 3648
 
6.0%
7 3412
 
5.6%
9 2960
 
4.9%
8 2927
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 10893
99.6%
. 20
 
0.2%
/ 15
 
0.1%
& 4
 
< 0.1%
· 3
 
< 0.1%
@ 3
 
< 0.1%
' 3
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 11
84.6%
> 1
 
7.7%
< 1
 
7.7%
Space Separator
ValueCountFrequency (%)
53738
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9719
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2039
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194065
56.7%
Common 146880
42.9%
Latin 1232
 
0.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16293
 
8.4%
부 14963
 
7.7%
산 13800
 
7.1%
시 10383
 
5.4%
광 10176
 
5.2%
구 10039
 
5.2%
역 9757
 
5.0%
로 9567
 
4.9%
호 5351
 
2.8%
길 4909
 
2.5%
Other values (521) 88827
45.8%
Latin
ValueCountFrequency (%)
B 185
15.0%
S 142
 
11.5%
K 123
 
10.0%
A 116
 
9.4%
C 64
 
5.2%
T 52
 
4.2%
H 51
 
4.1%
L 46
 
3.7%
G 39
 
3.2%
D 37
 
3.0%
Other values (39) 377
30.6%
Common
ValueCountFrequency (%)
53738
36.6%
1 14534
 
9.9%
, 10893
 
7.4%
( 9719
 
6.6%
) 9719
 
6.6%
2 8988
 
6.1%
0 7993
 
5.4%
3 6743
 
4.6%
4 5085
 
3.5%
5 4421
 
3.0%
Other values (14) 15047
 
10.2%
Han
ValueCountFrequency (%)
秀 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194065
56.7%
ASCII 148091
43.3%
Number Forms 18
 
< 0.1%
None 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53738
36.3%
1 14534
 
9.8%
, 10893
 
7.4%
( 9719
 
6.6%
) 9719
 
6.6%
2 8988
 
6.1%
0 7993
 
5.4%
3 6743
 
4.6%
4 5085
 
3.4%
5 4421
 
3.0%
Other values (61) 16258
 
11.0%
Hangul
ValueCountFrequency (%)
동 16293
 
8.4%
부 14963
 
7.7%
산 13800
 
7.1%
시 10383
 
5.4%
광 10176
 
5.2%
구 10039
 
5.2%
역 9757
 
5.0%
로 9567
 
4.9%
호 5351
 
2.8%
길 4909
 
2.5%
Other values (521) 88827
45.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 18
100.0%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
秀 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1468
Distinct (%)18.2%
Missing1918
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean192033.19
Minimum14905
Maximum617832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:41.491717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14905
5-th percentile47192
Q147364
median48559
Q3600061
95-th percentile614836
Maximum617832
Range602927
Interquartile range (IQR)552697

Descriptive statistics

Standard deviation244995.84
Coefficient of variation (CV)1.2757994
Kurtosis-0.75784535
Mean192033.19
Median Absolute Deviation (MAD)1201
Skewness1.1143035
Sum1.5520123 × 109
Variance6.002296 × 1010
MonotonicityNot monotonic
2024-04-22T09:46:41.626029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 97
 
1.0%
47247 69
 
0.7%
47293 54
 
0.5%
47286 46
 
0.5%
48516 42
 
0.4%
47284 42
 
0.4%
47292 40
 
0.4%
47295 39
 
0.4%
48742 37
 
0.4%
48739 36
 
0.4%
Other values (1458) 7580
75.8%
(Missing) 1918
 
19.2%
ValueCountFrequency (%)
14905 1
 
< 0.1%
47101 4
 
< 0.1%
47102 6
0.1%
47103 2
 
< 0.1%
47104 10
0.1%
47105 1
 
< 0.1%
47106 1
 
< 0.1%
47107 4
 
< 0.1%
47108 5
0.1%
47109 6
0.1%
ValueCountFrequency (%)
617832 1
 
< 0.1%
614897 1
 
< 0.1%
614894 5
0.1%
614893 1
 
< 0.1%
614891 2
 
< 0.1%
614890 1
 
< 0.1%
614883 2
 
< 0.1%
614882 3
 
< 0.1%
614881 2
 
< 0.1%
614876 10
0.1%

사업장명
Text

Distinct9794
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T09:46:41.993716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length6.5972
Min length1

Characters and Unicode

Total characters65972
Distinct characters1134
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9611 ?
Unique (%)96.1%

Sample

1st row머무르다.
2nd row(주)라움
3rd row나즈카
4th row콤플레
5th rowThe BGM
ValueCountFrequency (%)
주식회사 307
 
2.5%
주 35
 
0.3%
더 27
 
0.2%
shop 21
 
0.2%
the 16
 
0.1%
컴퍼니 15
 
0.1%
korea 15
 
0.1%
company 14
 
0.1%
앤 12
 
0.1%
12
 
0.1%
Other values (10738) 11627
96.1%
2024-04-22T09:46:42.553354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 2134
 
3.2%
( 2133
 
3.2%
2107
 
3.2%
이 2007
 
3.0%
스 1680
 
2.5%
리 1078
 
1.6%
주 937
 
1.4%
e 818
 
1.2%
사 778
 
1.2%
아 773
 
1.2%
Other values (1124) 51527
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45720
69.3%
Lowercase Letter 7023
 
10.6%
Uppercase Letter 5762
 
8.7%
Close Punctuation 2136
 
3.2%
Open Punctuation 2135
 
3.2%
Space Separator 2107
 
3.2%
Decimal Number 494
 
0.7%
Other Punctuation 360
 
0.5%
Other Symbol 107
 
0.2%
Dash Punctuation 89
 
0.1%
Other values (5) 39
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2007
 
4.4%
스 1680
 
3.7%
리 1078
 
2.4%
주 937
 
2.0%
사 778
 
1.7%
아 773
 
1.7%
드 615
 
1.3%
라 604
 
1.3%
에 568
 
1.2%
트 561
 
1.2%
Other values (1032) 36119
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 818
11.6%
o 761
 
10.8%
a 613
 
8.7%
n 534
 
7.6%
i 506
 
7.2%
l 432
 
6.2%
r 403
 
5.7%
t 333
 
4.7%
s 312
 
4.4%
m 275
 
3.9%
Other values (16) 2036
29.0%
Uppercase Letter
ValueCountFrequency (%)
O 521
 
9.0%
A 414
 
7.2%
S 411
 
7.1%
E 404
 
7.0%
N 328
 
5.7%
T 323
 
5.6%
M 318
 
5.5%
L 298
 
5.2%
I 294
 
5.1%
C 253
 
4.4%
Other values (16) 2198
38.1%
Other Punctuation
ValueCountFrequency (%)
. 171
47.5%
& 93
25.8%
, 35
 
9.7%
' 27
 
7.5%
# 13
 
3.6%
/ 6
 
1.7%
: 6
 
1.7%
· 4
 
1.1%
＆ 2
 
0.6%
! 1
 
0.3%
Other values (2) 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 102
20.6%
2 89
18.0%
0 56
11.3%
4 52
10.5%
9 47
9.5%
3 40
 
8.1%
5 38
 
7.7%
7 32
 
6.5%
6 23
 
4.7%
8 15
 
3.0%
Math Symbol
ValueCountFrequency (%)
+ 3
50.0%
× 1
 
16.7%
< 1
 
16.7%
> 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 2134
99.9%
] 1
 
< 0.1%
〉 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2133
99.9%
[ 1
 
< 0.1%
〈 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
2107
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 27
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45789
69.4%
Latin 12785
 
19.4%
Common 7360
 
11.2%
Han 36
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2007
 
4.4%
스 1680
 
3.7%
리 1078
 
2.4%
주 937
 
2.0%
사 778
 
1.7%
아 773
 
1.7%
드 615
 
1.3%
라 604
 
1.3%
에 568
 
1.2%
트 561
 
1.2%
Other values (999) 36188
79.0%
Latin
ValueCountFrequency (%)
e 818
 
6.4%
o 761
 
6.0%
a 613
 
4.8%
n 534
 
4.2%
O 521
 
4.1%
i 506
 
4.0%
l 432
 
3.4%
A 414
 
3.2%
S 411
 
3.2%
E 404
 
3.2%
Other values (42) 7371
57.7%
Common
ValueCountFrequency (%)
) 2134
29.0%
( 2133
29.0%
2107
28.6%
. 171
 
2.3%
1 102
 
1.4%
& 93
 
1.3%
2 89
 
1.2%
- 89
 
1.2%
0 56
 
0.8%
4 52
 
0.7%
Other values (29) 334
 
4.5%
Han
ValueCountFrequency (%)
愛 3
 
8.3%
家 2
 
5.6%
眞 2
 
5.6%
空 1
 
2.8%
孝 1
 
2.8%
間 1
 
2.8%
信 1
 
2.8%
一 1
 
2.8%
商 1
 
2.8%
通 1
 
2.8%
Other values (22) 22
61.1%
Hiragana
ValueCountFrequency (%)
な 1
50.0%
る 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45682
69.2%
ASCII 20131
30.5%
None 117
 
0.2%
CJK 35
 
0.1%
Punctuation 3
 
< 0.1%
Hiragana 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 2134
 
10.6%
( 2133
 
10.6%
2107
 
10.5%
e 818
 
4.1%
o 761
 
3.8%
a 613
 
3.0%
n 534
 
2.7%
O 521
 
2.6%
i 506
 
2.5%
l 432
 
2.1%
Other values (72) 9572
47.5%
Hangul
ValueCountFrequency (%)
이 2007
 
4.4%
스 1680
 
3.7%
리 1078
 
2.4%
주 937
 
2.1%
사 778
 
1.7%
아 773
 
1.7%
드 615
 
1.3%
라 604
 
1.3%
에 568
 
1.2%
트 561
 
1.2%
Other values (998) 36081
79.0%
None
ValueCountFrequency (%)
㈜ 107
91.5%
· 4
 
3.4%
＆ 2
 
1.7%
× 1
 
0.9%
〈 1
 
0.9%
〉 1
 
0.9%
² 1
 
0.9%
CJK
ValueCountFrequency (%)
愛 3
 
8.6%
家 2
 
5.7%
眞 2
 
5.7%
空 1
 
2.9%
孝 1
 
2.9%
間 1
 
2.9%
信 1
 
2.9%
一 1
 
2.9%
商 1
 
2.9%
通 1
 
2.9%
Other values (21) 21
60.0%
Punctuation
ValueCountFrequency (%)
’ 2
66.7%
′ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Hiragana
ValueCountFrequency (%)
な 1
50.0%
る 1
50.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0168324 × 1013
Minimum2.0070723 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:42.697385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070723 × 1013
5-th percentile2.01006 × 1013
Q12.0141125 × 1013
median2.0180568 × 1013
Q32.0200303 × 1013
95-th percentile2.0210115 × 1013
Maximum2.0210331 × 1013
Range1.3960807 × 1011
Interquartile range (IQR)5.9177981 × 1010

Descriptive statistics

Standard deviation3.4943513 × 1010
Coefficient of variation (CV)0.0017325938
Kurtosis-0.40762046
Mean2.0168324 × 1013
Median Absolute Deviation (MAD)2.0134514 × 1010
Skewness-0.83985402
Sum2.0168324 × 1017
Variance1.2210491 × 1021
MonotonicityNot monotonic
2024-04-22T09:46:42.838240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180829164533 1
 
< 0.1%
20181231151934 1
 
< 0.1%
20181116094548 1
 
< 0.1%
20170605223309 1
 
< 0.1%
20180703110657 1
 
< 0.1%
20200203200338 1
 
< 0.1%
20170328173045 1
 
< 0.1%
20150703142629 1
 
< 0.1%
20080107133657 1
 
< 0.1%
20200218142747 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
20070723101421 1
< 0.1%
20070813135814 1
< 0.1%
20070911094849 1
< 0.1%
20070918162625 1
< 0.1%
20071010173022 1
< 0.1%
20071116171131 1
< 0.1%
20071116171357 1
< 0.1%
20071126164828 1
< 0.1%
20071126174111 1
< 0.1%
20071207181818 1
< 0.1%
ValueCountFrequency (%)
20210331172507 1
< 0.1%
20210331172354 1
< 0.1%
20210331135023 1
< 0.1%
20210331134938 1
< 0.1%
20210331134650 1
< 0.1%
20210331134429 1
< 0.1%
20210331132225 1
< 0.1%
20210331115520 1
< 0.1%
20210331113908 1
< 0.1%
20210331113437 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8195 
U
1805 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8195
82.0%
U 1805
 
18.1%

Length

2024-04-22T09:46:42.975930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:46:43.074137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8195
82.0%
u 1805
 
18.1%

데이터갱신일자
Date

Distinct1100
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-22T09:46:43.180038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:46:43.327808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의류/패션/잡화/뷰티
4503 
기타
2046 
종합몰
1418 
건강/식품
903 
레져/여행/공연
 
336
Other values (7)
794 

Length

Max length11
Median length9
Mean length7.1427
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의류/패션/잡화/뷰티
2nd row기타
3rd row가구/수납용품
4th row종합몰
5th row의류/패션/잡화/뷰티

Common Values

ValueCountFrequency (%)
의류/패션/잡화/뷰티 4503
45.0%
기타 2046
20.5%
종합몰 1418
 
14.2%
건강/식품 903
 
9.0%
레져/여행/공연 336
 
3.4%
교육/도서/완구/오락 260
 
2.6%
컴퓨터/사무용품 193
 
1.9%
가구/수납용품 118
 
1.2%
가전 108
 
1.1%
자동차/자동차용품 83
 
0.8%
Other values (2) 32
 
0.3%

Length

2024-04-22T09:46:43.495668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의류/패션/잡화/뷰티 4503
45.0%
기타 2046
20.5%
종합몰 1418
 
14.2%
건강/식품 903
 
9.0%
레져/여행/공연 336
 
3.4%
교육/도서/완구/오락 260
 
2.6%
컴퓨터/사무용품 193
 
1.9%
가구/수납용품 118
 
1.2%
가전 108
 
1.1%
자동차/자동차용품 83
 
0.8%
Other values (2) 32
 
0.3%

좌표정보(x)
Real number (ℝ)

MISSING  SKEWED 

Distinct6056
Distinct (%)62.3%
Missing272
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean387414.45
Minimum144976.39
Maximum398251.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:43.641294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144976.39
5-th percentile384124.05
Q1385713.57
median387660.35
Q3388873.52
95-th percentile391684.75
Maximum398251.78
Range253275.39
Interquartile range (IQR)3159.9521

Descriptive statistics

Standard deviation6372.362
Coefficient of variation (CV)0.016448436
Kurtosis857.71102
Mean387414.45
Median Absolute Deviation (MAD)1591.1067
Skewness-27.18786
Sum3.7687678 × 109
Variance40606997
MonotonicityNot monotonic
2024-04-22T09:46:43.799546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387618.822819234 58
 
0.6%
392474.578116018 51
 
0.5%
388140.891260505 47
 
0.5%
387768.514676203 42
 
0.4%
389816.233000769 35
 
0.4%
387748.383011444 30
 
0.3%
387564.611330896 30
 
0.3%
387144.17668815 30
 
0.3%
387219.144332511 26
 
0.3%
391411.212179843 25
 
0.2%
Other values (6046) 9354
93.5%
(Missing) 272
 
2.7%
ValueCountFrequency (%)
144976.391329 1
< 0.1%
181110.0 1
< 0.1%
185009.555650292 1
< 0.1%
192128.930527634 1
< 0.1%
196515.609980537 1
< 0.1%
202619.377218099 1
< 0.1%
205853.018837604 1
< 0.1%
207477.065034569 1
< 0.1%
220969.228808431 1
< 0.1%
364527.971147347 1
< 0.1%
ValueCountFrequency (%)
398251.781075537 1
 
< 0.1%
393814.249916409 1
 
< 0.1%
393449.693784 11
0.1%
393405.632938741 1
 
< 0.1%
393163.706837417 24
0.2%
393010.235405366 1
 
< 0.1%
392999.210435176 1
 
< 0.1%
392995.616390452 1
 
< 0.1%
392943.519664196 3
 
< 0.1%
392916.629432 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING  SKEWED 

Distinct6065
Distinct (%)62.3%
Missing272
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean185365.77
Minimum143707.48
Maximum471712.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:46:43.952258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143707.48
5-th percentile178713.38
Q1182012.52
median185345.21
Q3187647.55
95-th percentile191875.59
Maximum471712.45
Range328004.97
Interquartile range (IQR)5635.0218

Descriptive statistics

Standard deviation8523.7928
Coefficient of variation (CV)0.045983641
Kurtosis720.06559
Mean185365.77
Median Absolute Deviation (MAD)2722.9109
Skewness23.483953
Sum1.8032382 × 109
Variance72655043
MonotonicityNot monotonic
2024-04-22T09:46:44.090715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.478853367 58
 
0.6%
184063.252176119 47
 
0.5%
183052.21115244 46
 
0.5%
184371.452375082 42
 
0.4%
193329.605871168 35
 
0.4%
185533.437357236 30
 
0.3%
190534.020672018 30
 
0.3%
183837.166587761 30
 
0.3%
185793.454774444 26
 
0.3%
184052.409245407 25
 
0.2%
Other values (6055) 9359
93.6%
(Missing) 272
 
2.7%
ValueCountFrequency (%)
143707.482706 1
 
< 0.1%
174683.069423816 8
0.1%
174764.125702762 3
 
< 0.1%
174835.290190736 1
 
< 0.1%
175140.099221406 14
0.1%
175490.845895 1
 
< 0.1%
175520.650585192 1
 
< 0.1%
175548.363291157 1
 
< 0.1%
175555.500913879 1
 
< 0.1%
175580.741380931 9
0.1%
ValueCountFrequency (%)
471712.452850037 1
< 0.1%
452758.975955885 1
< 0.1%
450032.906310478 1
< 0.1%
448873.564101889 1
< 0.1%
441617.349542947 1
< 0.1%
438183.0 1
< 0.1%
435486.907410902 1
< 0.1%
423582.017857749 1
< 0.1%
196001.045065377 1
< 0.1%
193727.022509371 1
< 0.1%

자산규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

부채총액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

판매방식명
Categorical

IMBALANCE 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9405 
기타
 
120
기타, 인터넷
 
110
<NA>
 
91
인터넷, 기타
 
56
Other values (42)
 
218

Length

Max length26
Median length3
Mean length3.2781
Min length2

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row인터넷
2nd row카다로그
3rd row인터넷
4th row인터넷
5th row인터넷

Common Values

ValueCountFrequency (%)
인터넷 9405
94.0%
기타 120
 
1.2%
기타, 인터넷 110
 
1.1%
<NA> 91
 
0.9%
인터넷, 기타 56
 
0.6%
TV홈쇼핑 23
 
0.2%
카다로그, 인터넷 21
 
0.2%
TV홈쇼핑, 인터넷 20
 
0.2%
인터넷, 카다로그 14
 
0.1%
기타, 카다로그, 인터넷 13
 
0.1%
Other values (37) 127
 
1.3%

Length

2024-04-22T09:46:44.246254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9745
92.6%
기타 367
 
3.5%
카다로그 137
 
1.3%
tv홈쇼핑 104
 
1.0%
na 91
 
0.9%
신문잡지 82
 
0.8%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
96839684통신판매업08_26_04_P3290000201832901283020072520180829<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 전포동 587번지 서면롯데캐슬스카이부산광역시 부산진구 전포대로275번길 20, 102동 1614호 (전포동, 서면롯데캐슬스카이)47241머무르다.20180829164533I2018-08-31 23:59:59.0의류/패션/잡화/뷰티388023.624002186739.937554<NA><NA><NA>인터넷<NA>
1368413685통신판매업08_26_04_P3290000201232900853020033120120704<NA>3폐업3폐업처리20170209<NA><NA><NA>051-819-0627<NA>614030부산광역시 부산진구 부전동 474번지 80호 유원골든오피스텔 1703호부산광역시 부산진구 서면문화로 27, 1703호 (부전동, 유원골든오피스텔)614876(주)라움20170209105928I2018-08-31 23:59:59.0기타387225.613588186408.726534<NA><NA><NA>카다로그<NA>
17521753통신판매업08_26_04_P3250000200632500593020050620060912<NA>3폐업3폐업처리20191117<NA><NA><NA>051 247 5212<NA><NA>부산광역시 중구 부평동2가 2번지 월드밸리 5층 501호부산광역시 중구 대청로 60, 501호 (부평동2가,월드밸리 5층)<NA>나즈카20191104110803U2019-11-06 02:40:00.0가구/수납용품384691.305123180070.02539<NA><NA><NA>인터넷<NA>
62056206통신판매업08_26_04_P3270000201732700863020001120160926<NA>3폐업3폐업처리20201109<NA><NA><NA>051-633-8630<NA><NA><NA>부산광역시 동구 성북로 29, 203호 (좌천동, 일삼아파트)48767콤플레20201109120014U2020-11-11 02:40:00.0종합몰386734.048139183852.809325<NA><NA><NA>인터넷<NA>
1710617107통신판매업08_26_04_P3290000201032900853020031820100702<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>070-4150-4479<NA>614040부산광역시 부산진구 전포동 661번지 2호 예일프라자 213호부산광역시 부산진구 서전로37번길 25-9, 213호 (전포동,예일프라자)<NA>The BGM20110906112949I2018-08-31 23:59:59.0의류/패션/잡화/뷰티387925.178916186354.950913<NA><NA><NA>인터넷<NA>
2102521026통신판매업08_26_04_P3300000201433000793020001220140109<NA>3폐업3폐업처리20140521<NA><NA><NA><NA><NA>609823부산광역시 금정구 부곡동 298-17번지부산광역시 동래구 중앙대로 1523, 102동 2802호 (온천동, SKHUBSKY)607787바니하우스20140521141019I2018-08-31 23:59:59.0의류/패션/잡화/뷰티389816.233001193329.605871<NA><NA><NA>인터넷<NA>
2440724408통신판매업08_26_04_P3310000201133100823020014520110504<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-610-1996<NA>608776부산광역시 남구 용호동 176번지 30호 24통 2반 LG메트로시티 102동 1503호부산광역시 남구 분포로 111, 102동 1503호 (용호동, LG메트로시티1차아파트)608776YWC20131230163942I2018-08-31 23:59:59.0레져/여행/공연392474.578116183052.211152<NA><NA><NA>인터넷<NA>
1714417145통신판매업08_26_04_P3290000201432901073020028520140603<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 엄광로 68, 112동 202호 (가야동, 벽산아파트)614750라이오트밴20150413171015I2018-08-31 23:59:59.0의류/패션/잡화/뷰티384502.365301185034.469476<NA><NA><NA>인터넷<NA>
1960919610통신판매업08_26_04_P3300000202133001103020024020181226<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 981-100 삼정그린코아부산광역시 동래구 쇠미로 37, 103동 702호 (사직동, 삼정그린코아)47873지니랑20210222164503I2021-02-24 00:23:01.0기타386837.881034190686.323149<NA><NA><NA>인터넷<NA>
1153911540통신판매업08_26_04_P3290000202032901443020129420200902<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 연지동 46-18부산광역시 부산진구 성지로14번길 17, 1층 4호 (연지동)47123바이아루20200902202417I2020-09-04 00:23:13.0기타387240.583364187805.495418<NA><NA><NA>인터넷<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
2632226323통신판매업08_26_04_P3310000202033101193020033720201007<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-665-8003<NA><NA>부산광역시 남구 용당동 251 부경대학교용당캠퍼스부산광역시 남구 신선로 365, 부경대학교용당캠퍼스 제10공학관동 317호 (용당동)48547바름테크20201007181134I2020-10-09 00:23:10.0가전390581.47537181723.441355<NA><NA><NA>TV홈쇼핑, 인터넷, 카다로그, 신문잡지, 기타<NA>
2316323164통신판매업08_26_04_P3300000201333000793020002220130121<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-635-3579<NA><NA>부산광역시 동래구 안락1동 423번지 5호 호림빌딩 309호부산광역시 동래구 충렬대로 353, 309호 (안락동, 호림빌딩)607827(주)해피맘케어20190604152637U2019-06-06 02:40:00.0종합몰390970.080375190841.121668<NA><NA><NA>인터넷<NA>
26402641통신판매업08_26_04_P3250000201432500833020004320130709<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-441-1885<NA><NA><NA>부산광역시 중구 대영로 235, 811호 (영주동, 제일빌딩)600811JK Air & Tours(제이케이 에어앤 투어스)20160802152239I2018-08-31 23:59:59.0레져/여행/공연385585.321891181149.765236<NA><NA><NA>기타<NA>
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