Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells116255
Missing cells (%)35.2%
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

Description2021-01-04
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 9875 (98.8%) missing valuesMissing
폐업일자 has 7907 (79.1%) missing valuesMissing
휴업시작일자 has 9959 (99.6%) missing valuesMissing
휴업종료일자 has 9961 (99.6%) missing valuesMissing
재개업일자 has 9989 (99.9%) missing valuesMissing
소재지전화 has 5386 (53.9%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7444 (74.4%) missing valuesMissing
소재지전체주소 has 2844 (28.4%) missing valuesMissing
도로명전체주소 has 323 (3.2%) missing valuesMissing
도로명우편번호 has 2027 (20.3%) missing valuesMissing
좌표정보(x) has 270 (2.7%) missing valuesMissing
좌표정보(y) has 270 (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 = -29.56342386)Skewed
좌표정보(x) is highly skewed (γ1 = -31.75098162)Skewed
좌표정보(y) is highly skewed (γ1 = 24.36919402)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 00:41:00.631562
Analysis finished2024-04-22 00:41:02.856612
Duration2.23 seconds
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%
Mean13216.372
Minimum9
Maximum26563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:02.922247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1308.9
Q16604.75
median13123.5
Q319830.75
95-th percentile25122.2
Maximum26563
Range26554
Interquartile range (IQR)13226

Descriptive statistics

Standard deviation7647.6695
Coefficient of variation (CV)0.57865121
Kurtosis-1.19999
Mean13216.372
Median Absolute Deviation (MAD)6610.5
Skewness0.010568806
Sum1.3216372 × 108
Variance58486848
MonotonicityNot monotonic
2024-04-22T09:41:03.076331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16523 1
 
< 0.1%
12456 1
 
< 0.1%
8102 1
 
< 0.1%
19516 1
 
< 0.1%
22577 1
 
< 0.1%
7025 1
 
< 0.1%
22019 1
 
< 0.1%
15267 1
 
< 0.1%
20403 1
 
< 0.1%
6557 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
9 1
< 0.1%
11 1
< 0.1%
14 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
28 1
< 0.1%
33 1
< 0.1%
35 1
< 0.1%
37 1
< 0.1%
43 1
< 0.1%
ValueCountFrequency (%)
26563 1
< 0.1%
26548 1
< 0.1%
26547 1
< 0.1%
26543 1
< 0.1%
26542 1
< 0.1%
26539 1
< 0.1%
26538 1
< 0.1%
26535 1
< 0.1%
26531 1
< 0.1%
26529 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

2024-04-22T09:41:03.206930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:41:03.303741image/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

2024-04-22T09:41:03.444638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:41:03.555320image/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%
Mean3286732
Minimum3250000
Maximum3310000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:03.641014image/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 deviation18254.136
Coefficient of variation (CV)0.0055538865
Kurtosis-0.509052
Mean3286732
Median Absolute Deviation (MAD)10000
Skewness-0.68462511
Sum3.286732 × 1010
Variance3.332135 × 108
MonotonicityNot monotonic
2024-04-22T09:41:03.751672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3290000 3458
34.6%
3300000 1811
18.1%
3310000 1627
16.3%
3250000 1018
 
10.2%
3270000 1007
 
10.1%
3260000 584
 
5.8%
3280000 495
 
5.0%
ValueCountFrequency (%)
3250000 1018
 
10.2%
3260000 584
 
5.8%
3270000 1007
 
10.1%
3280000 495
 
5.0%
3290000 3458
34.6%
3300000 1811
18.1%
3310000 1627
16.3%
ValueCountFrequency (%)
3310000 1627
16.3%
3300000 1811
18.1%
3290000 3458
34.6%
3280000 495
 
5.0%
3270000 1007
 
10.1%
3260000 584
 
5.8%
3250000 1018
 
10.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153688 × 1018
Minimum2.001325 × 1018
Maximum2.020331 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:03.897184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001325 × 1018
5-th percentile2.00733 × 1018
Q12.012325 × 1018
median2.016329 × 1018
Q32.019329 × 1018
95-th percentile2.02033 × 1018
Maximum2.020331 × 1018
Range1.9006006 × 1016
Interquartile range (IQR)7.0040045 × 1015

Descriptive statistics

Standard deviation4.2957425 × 1015
Coefficient of variation (CV)0.002131492
Kurtosis-0.77146007
Mean2.0153688 × 1018
Median Absolute Deviation (MAD)3.0019972 × 1015
Skewness-0.59858263
Sum-8.6034411 × 1018
Variance1.8453403 × 1031
MonotonicityNot monotonic
2024-04-22T09:41:04.050196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2013329010730200443 1
 
< 0.1%
2016329012830200405 1
 
< 0.1%
2011328009230200049 1
 
< 0.1%
2011330007930200233 1
 
< 0.1%
2016331008830200378 1
 
< 0.1%
2007328007030200048 1
 
< 0.1%
2005330006430200147 1
 
< 0.1%
2016329012830200842 1
 
< 0.1%
2009330006430200067 1
 
< 0.1%
2010327008630200030 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2001325005930200738 1
< 0.1%
2001325005930200823 1
< 0.1%
2001329008530200811 1
< 0.1%
2001330006430200680 1
< 0.1%
2001330006430200702 1
< 0.1%
2002329008530200024 1
< 0.1%
2002329008530201155 1
< 0.1%
2002330006430200014 1
< 0.1%
2002330006430200875 1
< 0.1%
2002331007130200082 1
< 0.1%
ValueCountFrequency (%)
2020331011930200584 1
< 0.1%
2020331011930200583 1
< 0.1%
2020331011930200580 1
< 0.1%
2020331011930200575 1
< 0.1%
2020331011930200574 1
< 0.1%
2020331011930200569 1
< 0.1%
2020331011930200568 1
< 0.1%
2020331011930200555 1
< 0.1%
2020331011930200554 1
< 0.1%
2020331011930200551 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3332
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20149416
Minimum20010916
Maximum20201229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:04.209455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010916
5-th percentile20070827
Q120111030
median20160526
Q320190311
95-th percentile20200825
Maximum20201229
Range190313
Interquartile range (IQR)79280.75

Descriptive statistics

Standard deviation43263.025
Coefficient of variation (CV)0.0021471107
Kurtosis-0.80996867
Mean20149416
Median Absolute Deviation (MAD)30385
Skewness-0.56013884
Sum2.0149416 × 1011
Variance1.8716894 × 109
MonotonicityNot monotonic
2024-04-22T09:41:04.356652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200528 17
 
0.2%
20201015 15
 
0.1%
20200416 14
 
0.1%
20200824 13
 
0.1%
20190128 13
 
0.1%
20200907 13
 
0.1%
20200212 13
 
0.1%
20200617 13
 
0.1%
20200423 13
 
0.1%
20201111 13
 
0.1%
Other values (3322) 9863
98.6%
ValueCountFrequency (%)
20010916 1
< 0.1%
20010927 1
< 0.1%
20011023 1
< 0.1%
20011127 1
< 0.1%
20011205 1
< 0.1%
20020110 1
< 0.1%
20020425 1
< 0.1%
20020911 1
< 0.1%
20020925 1
< 0.1%
20021226 1
< 0.1%
ValueCountFrequency (%)
20201229 2
 
< 0.1%
20201228 4
 
< 0.1%
20201224 3
 
< 0.1%
20201223 7
0.1%
20201222 3
 
< 0.1%
20201221 5
0.1%
20201218 5
0.1%
20201216 4
 
< 0.1%
20201215 11
0.1%
20201214 5
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)19.2%
Missing9875
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20100336
Minimum20080715
Maximum20151120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:04.492210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080715
5-th percentile20080908
Q120100713
median20100730
Q320101206
95-th percentile20128895
Maximum20151120
Range70405
Interquartile range (IQR)493

Descriptive statistics

Standard deviation13196.671
Coefficient of variation (CV)0.00065653982
Kurtosis5.9343183
Mean20100336
Median Absolute Deviation (MAD)404
Skewness1.8050497
Sum2.512542 × 109
Variance1.7415212 × 108
MonotonicityNot monotonic
2024-04-22T09:41:04.617685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20100713 30
 
0.3%
20100730 25
 
0.2%
20101231 20
 
0.2%
20080908 15
 
0.1%
20101206 7
 
0.1%
20151120 3
 
< 0.1%
20100413 3
 
< 0.1%
20091006 3
 
< 0.1%
20091120 2
 
< 0.1%
20121130 2
 
< 0.1%
Other values (14) 15
 
0.1%
(Missing) 9875
98.8%
ValueCountFrequency (%)
20080715 1
 
< 0.1%
20080908 15
0.1%
20081209 1
 
< 0.1%
20090123 1
 
< 0.1%
20090921 1
 
< 0.1%
20091006 3
 
< 0.1%
20091119 1
 
< 0.1%
20091120 2
 
< 0.1%
20100326 1
 
< 0.1%
20100413 3
 
< 0.1%
ValueCountFrequency (%)
20151120 3
 
< 0.1%
20151013 1
 
< 0.1%
20131230 1
 
< 0.1%
20131204 1
 
< 0.1%
20130814 1
 
< 0.1%
20121220 1
 
< 0.1%
20121130 2
 
< 0.1%
20101231 20
0.2%
20101206 7
 
0.1%
20101101 2
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5386 
4
2498 
3
2093 
2
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5386
53.9%
4 2498
25.0%
3 2093
 
20.9%
2 23
 
0.2%

Length

2024-04-22T09:41:04.745487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:41:04.840581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5386
53.9%
4 2498
25.0%
3 2093
 
20.9%
2 23
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5386 
취소/말소/만료/정지/중지
2498 
폐업
2093 
휴업
 
23

Length

Max length14
Median length5
Mean length6.6134
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5386
53.9%
취소/말소/만료/정지/중지 2498
25.0%
폐업 2093
 
20.9%
휴업 23
 
0.2%

Length

2024-04-22T09:41:04.973161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:41:05.086577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5386
53.9%
취소/말소/만료/정지/중지 2498
25.0%
폐업 2093
 
20.9%
휴업 23
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8829
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:05.205557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33.25
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.4397506
Coefficient of variation (CV)0.84628345
Kurtosis-0.88376331
Mean2.8829
Median Absolute Deviation (MAD)0
Skewness0.89418604
Sum28829
Variance5.9523828
MonotonicityNot monotonic
2024-04-22T09:41:05.316697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5384
53.8%
7 2372
23.7%
3 2093
 
20.9%
4 126
 
1.3%
2 23
 
0.2%
6 2
 
< 0.1%
ValueCountFrequency (%)
1 5384
53.8%
2 23
 
0.2%
3 2093
 
20.9%
4 126
 
1.3%
6 2
 
< 0.1%
7 2372
23.7%
ValueCountFrequency (%)
7 2372
23.7%
6 2
 
< 0.1%
4 126
 
1.3%
3 2093
 
20.9%
2 23
 
0.2%
1 5384
53.8%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
5384 
직권말소
2372 
폐업처리
2093 
직권취소
 
126
휴업처리
 
23

Length

Max length6
Median length4
Mean length4.0004
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 5384
53.8%
직권말소 2372
23.7%
폐업처리 2093
 
20.9%
직권취소 126
 
1.3%
휴업처리 23
 
0.2%
타시군구전입 2
 
< 0.1%

Length

2024-04-22T09:41:05.443472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:41:05.563263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 5384
53.8%
직권말소 2372
23.7%
폐업처리 2093
 
20.9%
직권취소 126
 
1.3%
휴업처리 23
 
0.2%
타시군구전입 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1448
Distinct (%)69.2%
Missing7907
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean20143374
Minimum20051228
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:05.696630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051228
5-th percentile20080922
Q120110304
median20140918
Q320180530
95-th percentile20200825
Maximum20201231
Range150003
Interquartile range (IQR)70226

Descriptive statistics

Standard deviation40095.91
Coefficient of variation (CV)0.001990526
Kurtosis-1.3053205
Mean20143374
Median Absolute Deviation (MAD)39388
Skewness-0.042846477
Sum4.2160082 × 1010
Variance1.607682 × 109
MonotonicityNot monotonic
2024-04-22T09:41:05.836778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190628 11
 
0.1%
20151230 8
 
0.1%
20151231 7
 
0.1%
20090311 7
 
0.1%
20180119 6
 
0.1%
20090313 6
 
0.1%
20200203 6
 
0.1%
20200324 6
 
0.1%
20201230 6
 
0.1%
20100119 5
 
0.1%
Other values (1438) 2025
 
20.2%
(Missing) 7907
79.1%
ValueCountFrequency (%)
20051228 1
< 0.1%
20070509 1
< 0.1%
20070522 1
< 0.1%
20070529 1
< 0.1%
20070618 1
< 0.1%
20070619 1
< 0.1%
20070710 1
< 0.1%
20070711 1
< 0.1%
20070723 1
< 0.1%
20070801 1
< 0.1%
ValueCountFrequency (%)
20201231 2
 
< 0.1%
20201230 6
0.1%
20201229 2
 
< 0.1%
20201228 2
 
< 0.1%
20201227 1
 
< 0.1%
20201226 1
 
< 0.1%
20201224 2
 
< 0.1%
20201223 3
< 0.1%
20201222 1
 
< 0.1%
20201221 4
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)97.6%
Missing9959
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean20136354
Minimum20080508
Maximum20201223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:05.989960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080508
5-th percentile20080529
Q120100301
median20121108
Q320180901
95-th percentile20201204
Maximum20201223
Range120715
Interquartile range (IQR)80600

Descriptive statistics

Standard deviation44654.135
Coefficient of variation (CV)0.0022175879
Kurtosis-1.514677
Mean20136354
Median Absolute Deviation (MAD)30482
Skewness0.30660975
Sum8.2559051 × 108
Variance1.9939918 × 109
MonotonicityNot monotonic
2024-04-22T09:41:06.334142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20201204 2
 
< 0.1%
20180901 1
 
< 0.1%
20080523 1
 
< 0.1%
20201223 1
 
< 0.1%
20090918 1
 
< 0.1%
20170602 1
 
< 0.1%
20080618 1
 
< 0.1%
20200325 1
 
< 0.1%
20110101 1
 
< 0.1%
20100809 1
 
< 0.1%
Other values (30) 30
 
0.3%
(Missing) 9959
99.6%
ValueCountFrequency (%)
20080508 1
< 0.1%
20080523 1
< 0.1%
20080529 1
< 0.1%
20080618 1
< 0.1%
20090520 1
< 0.1%
20090626 1
< 0.1%
20090729 1
< 0.1%
20090826 1
< 0.1%
20090918 1
< 0.1%
20091110 1
< 0.1%
ValueCountFrequency (%)
20201223 1
< 0.1%
20201216 1
< 0.1%
20201204 2
< 0.1%
20200919 1
< 0.1%
20200602 1
< 0.1%
20200412 1
< 0.1%
20200325 1
< 0.1%
20190906 1
< 0.1%
20181207 1
< 0.1%
20180901 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)97.4%
Missing9961
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean20145502
Minimum20080630
Maximum20221231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:06.457031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080630
5-th percentile20081110
Q120105676
median20131101
Q320195966
95-th percentile20211207
Maximum20221231
Range140601
Interquartile range (IQR)90289.5

Descriptive statistics

Standard deviation47849.513
Coefficient of variation (CV)0.0023751959
Kurtosis-1.5743887
Mean20145502
Median Absolute Deviation (MAD)39529
Skewness0.23099845
Sum7.8567457 × 108
Variance2.2895759 × 109
MonotonicityNot monotonic
2024-04-22T09:41:06.588524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20100826 2
 
< 0.1%
20201230 1
 
< 0.1%
20100430 1
 
< 0.1%
20170630 1
 
< 0.1%
20081220 1
 
< 0.1%
20210324 1
 
< 0.1%
20111231 1
 
< 0.1%
20191231 1
 
< 0.1%
20111101 1
 
< 0.1%
20110930 1
 
< 0.1%
Other values (28) 28
 
0.3%
(Missing) 9961
99.6%
ValueCountFrequency (%)
20080630 1
< 0.1%
20081007 1
< 0.1%
20081122 1
< 0.1%
20081220 1
< 0.1%
20100224 1
< 0.1%
20100430 1
< 0.1%
20100531 1
< 0.1%
20100826 2
< 0.1%
20101125 1
< 0.1%
20110228 1
< 0.1%
ValueCountFrequency (%)
20221231 1
< 0.1%
20211231 1
< 0.1%
20211204 1
< 0.1%
20211130 1
< 0.1%
20210331 1
< 0.1%
20210324 1
< 0.1%
20210101 1
< 0.1%
20201231 1
< 0.1%
20201230 1
< 0.1%
20200701 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing9989
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20133249
Minimum20070920
Maximum20200604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:06.705289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070920
5-th percentile20070960
Q120080418
median20100531
Q320190358
95-th percentile20195660
Maximum20200604
Range129684
Interquartile range (IQR)109940.5

Descriptive statistics

Standard deviation57540.618
Coefficient of variation (CV)0.0028579896
Kurtosis-2.305156
Mean20133249
Median Absolute Deviation (MAD)29611
Skewness0.13038844
Sum2.2146574 × 108
Variance3.3109227 × 109
MonotonicityNot monotonic
2024-04-22T09:41:06.820025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20200604 1
 
< 0.1%
20080522 1
 
< 0.1%
20071001 1
 
< 0.1%
20190412 1
 
< 0.1%
20190201 1
 
< 0.1%
20080314 1
 
< 0.1%
20190716 1
 
< 0.1%
20100217 1
 
< 0.1%
20100531 1
 
< 0.1%
20190305 1
 
< 0.1%
(Missing) 9989
99.9%
ValueCountFrequency (%)
20070920 1
< 0.1%
20071001 1
< 0.1%
20080314 1
< 0.1%
20080522 1
< 0.1%
20100217 1
< 0.1%
20100531 1
< 0.1%
20190201 1
< 0.1%
20190305 1
< 0.1%
20190412 1
< 0.1%
20190716 1
< 0.1%
ValueCountFrequency (%)
20200604 1
< 0.1%
20190716 1
< 0.1%
20190412 1
< 0.1%
20190305 1
< 0.1%
20190201 1
< 0.1%
20100531 1
< 0.1%
20100217 1
< 0.1%
20080522 1
< 0.1%
20080314 1
< 0.1%
20071001 1
< 0.1%

소재지전화
Text

MISSING 

Distinct4526
Distinct (%)98.1%
Missing5386
Missing (%)53.9%
Memory size156.2 KiB
2024-04-22T09:41:07.043286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.319679
Min length6

Characters and Unicode

Total characters52229
Distinct characters18
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

Unique4441 ?
Unique (%)96.3%

Sample

1st row051-636-7104
2nd row527-7281
3rd row070-4406-2709
4th row051-611-3550
5th row051-338-1090
ValueCountFrequency (%)
051 300
 
5.8%
466 13
 
0.2%
245 11
 
0.2%
464 11
 
0.2%
070 10
 
0.2%
244 9
 
0.2%
441 8
 
0.2%
463 8
 
0.2%
442 7
 
0.1%
256 7
 
0.1%
Other values (4622) 4817
92.6%
2024-04-22T09:41:07.422661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8188
15.7%
- 7318
14.0%
5 6412
12.3%
1 5990
11.5%
7 3876
7.4%
2 3709
7.1%
8 3659
7.0%
6 3496
6.7%
4 3465
6.6%
3 2941
 
5.6%
Other values (8) 3175
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44226
84.7%
Dash Punctuation 7318
 
14.0%
Space Separator 595
 
1.1%
Close Punctuation 70
 
0.1%
Math Symbol 11
 
< 0.1%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8188
18.5%
5 6412
14.5%
1 5990
13.5%
7 3876
8.8%
2 3709
8.4%
8 3659
8.3%
6 3496
7.9%
4 3465
7.8%
3 2941
 
6.6%
9 2490
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
/ 2
 
22.2%
* 2
 
22.2%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 7318
100.0%
Space Separator
ValueCountFrequency (%)
595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8188
15.7%
- 7318
14.0%
5 6412
12.3%
1 5990
11.5%
7 3876
7.4%
2 3709
7.1%
8 3659
7.0%
6 3496
6.7%
4 3465
6.6%
3 2941
 
5.6%
Other values (8) 3175
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8188
15.7%
- 7318
14.0%
5 6412
12.3%
1 5990
11.5%
7 3876
7.4%
2 3709
7.1%
8 3659
7.0%
6 3496
6.7%
4 3465
6.6%
3 2941
 
5.6%
Other values (8) 3175
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct519
Distinct (%)20.3%
Missing7444
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean607842.59
Minimum143200
Maximum621831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:07.559022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143200
5-th percentile600082
Q1602812.75
median607829
Q3614030
95-th percentile614851
Maximum621831
Range478631
Interquartile range (IQR)11217.25

Descriptive statistics

Standard deviation11243.76
Coefficient of variation (CV)0.018497815
Kurtosis1172.0521
Mean607842.59
Median Absolute Deviation (MAD)6014
Skewness-29.563424
Sum1.5536457 × 109
Variance1.2642214 × 108
MonotonicityNot monotonic
2024-04-22T09:41:07.690641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607060 109
 
1.1%
614030 86
 
0.9%
608020 79
 
0.8%
614040 73
 
0.7%
614020 56
 
0.6%
614050 48
 
0.5%
607120 46
 
0.5%
614010 46
 
0.5%
607100 41
 
0.4%
614110 36
 
0.4%
Other values (509) 1936
 
19.4%
(Missing) 7444
74.4%
ValueCountFrequency (%)
143200 1
 
< 0.1%
420851 1
 
< 0.1%
530350 1
 
< 0.1%
600010 1
 
< 0.1%
600011 3
 
< 0.1%
600012 8
0.1%
600013 4
< 0.1%
600014 9
0.1%
600015 4
< 0.1%
600016 2
 
< 0.1%
ValueCountFrequency (%)
621831 1
 
< 0.1%
617832 1
 
< 0.1%
617815 1
 
< 0.1%
617808 1
 
< 0.1%
614882 3
 
< 0.1%
614880 1
 
< 0.1%
614878 3
 
< 0.1%
614876 9
0.1%
614875 2
 
< 0.1%
614874 4
< 0.1%

소재지전체주소
Text

MISSING 

Distinct5915
Distinct (%)82.7%
Missing2844
Missing (%)28.4%
Memory size156.2 KiB
2024-04-22T09:41:08.036696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length27.356344
Min length8

Characters and Unicode

Total characters195762
Distinct characters528
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5343 ?
Unique (%)74.7%

Sample

1st row부산광역시 동래구 안락동 628번지 11호
2nd row부산광역시 남구 용호동 522번지 2호 용호동일타운
3rd row부산광역시 남구 대연동 245번지 137호 신원아파트
4th row부산광역시 남구 문현동 336번지 14호 삼한사랑채 804호
5th row부산광역시 남구 대연동 245번지 1호 22통 16반 대우그린아파트 104동 301호
ValueCountFrequency (%)
부산광역시 7074
 
17.3%
부산진구 2288
 
5.6%
동래구 1380
 
3.4%
남구 1192
 
2.9%
1호 838
 
2.0%
동구 725
 
1.8%
중구 681
 
1.7%
대연동 519
 
1.3%
전포동 475
 
1.2%
부전동 421
 
1.0%
Other values (5134) 25327
61.9%
2024-04-22T09:41:08.517957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33870
 
17.3%
동 10418
 
5.3%
부 10331
 
5.3%
산 9694
 
5.0%
1 8277
 
4.2%
시 7389
 
3.8%
광 7173
 
3.7%
구 7137
 
3.6%
역 7116
 
3.6%
호 6567
 
3.4%
Other values (518) 87790
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121638
62.1%
Decimal Number 38274
 
19.6%
Space Separator 33870
 
17.3%
Dash Punctuation 1013
 
0.5%
Uppercase Letter 692
 
0.4%
Other Punctuation 110
 
0.1%
Lowercase Letter 81
 
< 0.1%
Open Punctuation 32
 
< 0.1%
Close Punctuation 32
 
< 0.1%
Letter Number 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10418
 
8.6%
부 10331
 
8.5%
산 9694
 
8.0%
시 7389
 
6.1%
광 7173
 
5.9%
구 7137
 
5.9%
역 7116
 
5.9%
호 6567
 
5.4%
지 6481
 
5.3%
번 6069
 
5.0%
Other values (457) 43263
35.6%
Uppercase Letter
ValueCountFrequency (%)
K 103
14.9%
S 100
14.5%
B 86
12.4%
A 44
 
6.4%
H 42
 
6.1%
C 38
 
5.5%
G 34
 
4.9%
T 32
 
4.6%
U 30
 
4.3%
L 29
 
4.2%
Other values (14) 154
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 19
23.5%
l 18
22.2%
i 14
17.3%
v 7
 
8.6%
s 7
 
8.6%
o 6
 
7.4%
a 2
 
2.5%
k 2
 
2.5%
t 2
 
2.5%
p 1
 
1.2%
Other values (3) 3
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 8277
21.6%
2 5435
14.2%
3 4235
11.1%
4 3564
9.3%
0 3460
9.0%
5 3373
8.8%
6 2921
 
7.6%
7 2520
 
6.6%
8 2461
 
6.4%
9 2028
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 72
65.5%
/ 18
 
16.4%
. 7
 
6.4%
· 5
 
4.5%
& 4
 
3.6%
@ 3
 
2.7%
# 1
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 15
93.8%
Ⅲ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
33870
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1013
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121638
62.1%
Common 73335
37.5%
Latin 789
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10418
 
8.6%
부 10331
 
8.5%
산 9694
 
8.0%
시 7389
 
6.1%
광 7173
 
5.9%
구 7137
 
5.9%
역 7116
 
5.9%
호 6567
 
5.4%
지 6481
 
5.3%
번 6069
 
5.0%
Other values (457) 43263
35.6%
Latin
ValueCountFrequency (%)
K 103
13.1%
S 100
 
12.7%
B 86
 
10.9%
A 44
 
5.6%
H 42
 
5.3%
C 38
 
4.8%
G 34
 
4.3%
T 32
 
4.1%
U 30
 
3.8%
L 29
 
3.7%
Other values (29) 251
31.8%
Common
ValueCountFrequency (%)
33870
46.2%
1 8277
 
11.3%
2 5435
 
7.4%
3 4235
 
5.8%
4 3564
 
4.9%
0 3460
 
4.7%
5 3373
 
4.6%
6 2921
 
4.0%
7 2520
 
3.4%
8 2461
 
3.4%
Other values (12) 3219
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121638
62.1%
ASCII 74103
37.9%
Number Forms 16
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33870
45.7%
1 8277
 
11.2%
2 5435
 
7.3%
3 4235
 
5.7%
4 3564
 
4.8%
0 3460
 
4.7%
5 3373
 
4.6%
6 2921
 
3.9%
7 2520
 
3.4%
8 2461
 
3.3%
Other values (48) 3987
 
5.4%
Hangul
ValueCountFrequency (%)
동 10418
 
8.6%
부 10331
 
8.5%
산 9694
 
8.0%
시 7389
 
6.1%
광 7173
 
5.9%
구 7137
 
5.9%
역 7116
 
5.9%
호 6567
 
5.4%
지 6481
 
5.3%
번 6069
 
5.0%
Other values (457) 43263
35.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 15
93.8%
Ⅲ 1
 
6.2%
None
ValueCountFrequency (%)
· 5
100.0%

도로명전체주소
Text

MISSING 

Distinct9352
Distinct (%)96.6%
Missing323
Missing (%)3.2%
Memory size156.2 KiB
2024-04-22T09:41:08.865361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length51
Mean length35.364576
Min length17

Characters and Unicode

Total characters342223
Distinct characters584
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

Unique9084 ?
Unique (%)93.9%

Sample

1st row부산광역시 부산진구 범일로142번길 29 (범천동, 2층)
2nd row부산광역시 동래구 연안로59번길 79 (안락동)
3rd row부산광역시 부산진구 범양로45번길 22 (범전동)
4th row부산광역시 남구 동명로170번길 93, 용호동일타운 2동 203호 (용호동, 용호동일타운)
5th row부산광역시 남구 못골로 104, 1층 (대연동)
ValueCountFrequency (%)
부산광역시 9674
 
15.3%
부산진구 3369
 
5.3%
동래구 1745
 
2.8%
남구 1601
 
2.5%
중구 988
 
1.6%
동구 941
 
1.5%
1층 750
 
1.2%
대연동 673
 
1.1%
부전동 642
 
1.0%
전포동 599
 
0.9%
Other values (7834) 42439
66.9%
2024-04-22T09:41:09.379324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53760
 
15.7%
동 16205
 
4.7%
부 14692
 
4.3%
1 14563
 
4.3%
산 13593
 
4.0%
, 11004
 
3.2%
시 10344
 
3.0%
광 10165
 
3.0%
구 10033
 
2.9%
역 9730
 
2.8%
Other values (574) 178134
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193874
56.7%
Decimal Number 60858
 
17.8%
Space Separator 53760
 
15.7%
Other Punctuation 11044
 
3.2%
Close Punctuation 9706
 
2.8%
Open Punctuation 9705
 
2.8%
Dash Punctuation 2077
 
0.6%
Uppercase Letter 1078
 
0.3%
Lowercase Letter 88
 
< 0.1%
Letter Number 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16205
 
8.4%
부 14692
 
7.6%
산 13593
 
7.0%
시 10344
 
5.3%
광 10165
 
5.2%
구 10033
 
5.2%
역 9730
 
5.0%
로 9585
 
4.9%
호 5487
 
2.8%
길 4930
 
2.5%
Other values (510) 89110
46.0%
Uppercase Letter
ValueCountFrequency (%)
B 217
20.1%
S 133
12.3%
K 125
11.6%
A 119
11.0%
C 75
 
7.0%
H 55
 
5.1%
D 46
 
4.3%
L 38
 
3.5%
G 36
 
3.3%
Y 35
 
3.2%
Other values (15) 199
18.5%
Lowercase Letter
ValueCountFrequency (%)
e 20
22.7%
l 19
21.6%
i 13
14.8%
o 7
 
8.0%
s 7
 
8.0%
v 6
 
6.8%
c 4
 
4.5%
a 3
 
3.4%
b 3
 
3.4%
d 1
 
1.1%
Other values (5) 5
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 14563
23.9%
2 9007
14.8%
0 7966
13.1%
3 6964
11.4%
4 4973
 
8.2%
5 4408
 
7.2%
6 3714
 
6.1%
7 3337
 
5.5%
9 3009
 
4.9%
8 2917
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 11004
99.6%
. 17
 
0.2%
/ 13
 
0.1%
· 5
 
< 0.1%
& 3
 
< 0.1%
# 1
 
< 0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 19
95.0%
Ⅲ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
53760
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9706
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2077
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193873
56.7%
Common 147163
43.0%
Latin 1186
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16205
 
8.4%
부 14692
 
7.6%
산 13593
 
7.0%
시 10344
 
5.3%
광 10165
 
5.2%
구 10033
 
5.2%
역 9730
 
5.0%
로 9585
 
4.9%
호 5487
 
2.8%
길 4930
 
2.5%
Other values (509) 89109
46.0%
Latin
ValueCountFrequency (%)
B 217
18.3%
S 133
11.2%
K 125
10.5%
A 119
 
10.0%
C 75
 
6.3%
H 55
 
4.6%
D 46
 
3.9%
L 38
 
3.2%
G 36
 
3.0%
Y 35
 
3.0%
Other values (32) 307
25.9%
Common
ValueCountFrequency (%)
53760
36.5%
1 14563
 
9.9%
, 11004
 
7.5%
) 9706
 
6.6%
( 9705
 
6.6%
2 9007
 
6.1%
0 7966
 
5.4%
3 6964
 
4.7%
4 4973
 
3.4%
5 4408
 
3.0%
Other values (12) 15107
 
10.3%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193873
56.7%
ASCII 148324
43.3%
Number Forms 20
 
< 0.1%
None 5
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53760
36.2%
1 14563
 
9.8%
, 11004
 
7.4%
) 9706
 
6.5%
( 9705
 
6.5%
2 9007
 
6.1%
0 7966
 
5.4%
3 6964
 
4.7%
4 4973
 
3.4%
5 4408
 
3.0%
Other values (51) 16268
 
11.0%
Hangul
ValueCountFrequency (%)
동 16205
 
8.4%
부 14692
 
7.6%
산 13593
 
7.0%
시 10344
 
5.3%
광 10165
 
5.2%
구 10033
 
5.2%
역 9730
 
5.0%
로 9585
 
4.9%
호 5487
 
2.8%
길 4930
 
2.5%
Other values (509) 89109
46.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 19
95.0%
Ⅲ 1
 
5.0%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1472
Distinct (%)18.5%
Missing2027
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean197626.82
Minimum14905
Maximum617832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:09.529269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14905
5-th percentile47193
Q147388
median48573
Q3600715
95-th percentile614836
Maximum617832
Range602927
Interquartile range (IQR)553327

Descriptive statistics

Standard deviation248036.98
Coefficient of variation (CV)1.2550775
Kurtosis-0.88451415
Mean197626.82
Median Absolute Deviation (MAD)1212
Skewness1.0559612
Sum1.5756787 × 109
Variance6.1522344 × 1010
MonotonicityNot monotonic
2024-04-22T09:41:09.671719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 94
 
0.9%
47247 60
 
0.6%
47293 49
 
0.5%
47286 48
 
0.5%
47295 47
 
0.5%
48739 43
 
0.4%
48742 42
 
0.4%
48498 40
 
0.4%
48508 38
 
0.4%
47710 35
 
0.4%
Other values (1462) 7477
74.8%
(Missing) 2027
 
20.3%
ValueCountFrequency (%)
14905 1
 
< 0.1%
46025 1
 
< 0.1%
46649 1
 
< 0.1%
47101 3
< 0.1%
47102 2
 
< 0.1%
47103 1
 
< 0.1%
47104 5
0.1%
47105 1
 
< 0.1%
47106 1
 
< 0.1%
47107 1
 
< 0.1%
ValueCountFrequency (%)
617832 1
 
< 0.1%
614894 3
< 0.1%
614892 1
 
< 0.1%
614891 1
 
< 0.1%
614890 1
 
< 0.1%
614884 1
 
< 0.1%
614882 4
< 0.1%
614881 4
< 0.1%
614876 6
0.1%
614875 2
 
< 0.1%

사업장명
Text

Distinct9810
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T09:41:09.978595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length6.6105
Min length1

Characters and Unicode

Total characters66105
Distinct characters1110
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9636 ?
Unique (%)96.4%

Sample

1st row태극쥬얼리
2nd row스캔넷정보시스템
3rd row버블캐슬천연공방
4th row준이패밀리
5th row나운컴퍼니
ValueCountFrequency (%)
주식회사 338
 
2.8%
주 38
 
0.3%
company 24
 
0.2%
더 21
 
0.2%
the 16
 
0.1%
shop 15
 
0.1%
스튜디오 14
 
0.1%
international 13
 
0.1%
korea 13
 
0.1%
제이 13
 
0.1%
Other values (10810) 11649
95.8%
2024-04-22T09:41:10.459186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2155
 
3.3%
) 2122
 
3.2%
( 2120
 
3.2%
이 2022
 
3.1%
스 1666
 
2.5%
리 1042
 
1.6%
주 1015
 
1.5%
e 826
 
1.2%
사 810
 
1.2%
아 779
 
1.2%
Other values (1100) 51548
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45857
69.4%
Lowercase Letter 6970
 
10.5%
Uppercase Letter 5856
 
8.9%
Space Separator 2155
 
3.3%
Close Punctuation 2125
 
3.2%
Open Punctuation 2123
 
3.2%
Decimal Number 459
 
0.7%
Other Punctuation 370
 
0.6%
Dash Punctuation 81
 
0.1%
Other Symbol 80
 
0.1%
Other values (4) 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2022
 
4.4%
스 1666
 
3.6%
리 1042
 
2.3%
주 1015
 
2.2%
사 810
 
1.8%
아 779
 
1.7%
라 610
 
1.3%
드 604
 
1.3%
에 600
 
1.3%
트 592
 
1.3%
Other values (1011) 36117
78.8%
Lowercase Letter
ValueCountFrequency (%)
e 826
11.9%
o 729
 
10.5%
a 623
 
8.9%
n 517
 
7.4%
i 475
 
6.8%
l 447
 
6.4%
r 399
 
5.7%
t 383
 
5.5%
s 345
 
4.9%
m 289
 
4.1%
Other values (16) 1937
27.8%
Uppercase Letter
ValueCountFrequency (%)
O 516
 
8.8%
A 450
 
7.7%
S 428
 
7.3%
E 390
 
6.7%
M 358
 
6.1%
N 346
 
5.9%
T 305
 
5.2%
I 286
 
4.9%
L 274
 
4.7%
C 265
 
4.5%
Other values (16) 2238
38.2%
Other Punctuation
ValueCountFrequency (%)
. 183
49.5%
& 88
23.8%
, 36
 
9.7%
' 27
 
7.3%
# 13
 
3.5%
/ 10
 
2.7%
: 5
 
1.4%
· 2
 
0.5%
% 2
 
0.5%
! 1
 
0.3%
Other values (3) 3
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 103
22.4%
2 90
19.6%
0 53
11.5%
9 44
9.6%
4 42
9.2%
3 39
 
8.5%
5 37
 
8.1%
7 20
 
4.4%
6 17
 
3.7%
8 14
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 2122
99.9%
] 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2120
99.9%
[ 3
 
0.1%
Other Symbol
ValueCountFrequency (%)
㈜ 79
98.8%
♥ 1
 
1.2%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
50.0%
` 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
= 1
50.0%
Space Separator
ValueCountFrequency (%)
2155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45915
69.5%
Latin 12826
 
19.4%
Common 7343
 
11.1%
Han 19
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2022
 
4.4%
스 1666
 
3.6%
리 1042
 
2.3%
주 1015
 
2.2%
사 810
 
1.8%
아 779
 
1.7%
라 610
 
1.3%
드 604
 
1.3%
에 600
 
1.3%
트 592
 
1.3%
Other values (995) 36175
78.8%
Latin
ValueCountFrequency (%)
e 826
 
6.4%
o 729
 
5.7%
a 623
 
4.9%
n 517
 
4.0%
O 516
 
4.0%
i 475
 
3.7%
A 450
 
3.5%
l 447
 
3.5%
S 428
 
3.3%
r 399
 
3.1%
Other values (42) 7416
57.8%
Common
ValueCountFrequency (%)
2155
29.3%
) 2122
28.9%
( 2120
28.9%
. 183
 
2.5%
1 103
 
1.4%
2 90
 
1.2%
& 88
 
1.2%
- 81
 
1.1%
0 53
 
0.7%
9 44
 
0.6%
Other values (26) 304
 
4.1%
Han
ValueCountFrequency (%)
愛 3
15.8%
眞 2
 
10.5%
美 2
 
10.5%
山 1
 
5.3%
淡 1
 
5.3%
花 1
 
5.3%
福 1
 
5.3%
潤 1
 
5.3%
水 1
 
5.3%
德 1
 
5.3%
Other values (5) 5
26.3%
Hiragana
ValueCountFrequency (%)
な 1
50.0%
る 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45836
69.3%
ASCII 20159
30.5%
None 82
 
0.1%
CJK 19
 
< 0.1%
Punctuation 5
 
< 0.1%
Hiragana 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2155
 
10.7%
) 2122
 
10.5%
( 2120
 
10.5%
e 826
 
4.1%
o 729
 
3.6%
a 623
 
3.1%
n 517
 
2.6%
O 516
 
2.6%
i 475
 
2.4%
A 450
 
2.2%
Other values (72) 9626
47.8%
Hangul
ValueCountFrequency (%)
이 2022
 
4.4%
스 1666
 
3.6%
리 1042
 
2.3%
주 1015
 
2.2%
사 810
 
1.8%
아 779
 
1.7%
라 610
 
1.3%
드 604
 
1.3%
에 600
 
1.3%
트 592
 
1.3%
Other values (994) 36096
78.8%
None
ValueCountFrequency (%)
㈜ 79
96.3%
· 2
 
2.4%
＆ 1
 
1.2%
Punctuation
ValueCountFrequency (%)
’ 4
80.0%
′ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 3
15.8%
眞 2
 
10.5%
美 2
 
10.5%
山 1
 
5.3%
淡 1
 
5.3%
花 1
 
5.3%
福 1
 
5.3%
潤 1
 
5.3%
水 1
 
5.3%
德 1
 
5.3%
Other values (5) 5
26.3%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%
Hiragana
ValueCountFrequency (%)
な 1
50.0%
る 1
50.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0165811 × 1013
Minimum2.007071 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:10.600529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007071 × 1013
5-th percentile2.0100299 × 1013
Q12.0140812 × 1013
median2.0180312 × 1013
Q32.0191206 × 1013
95-th percentile2.0201022 × 1013
Maximum2.0201231 × 1013
Range1.3052103 × 1011
Interquartile range (IQR)5.0393709 × 1010

Descriptive statistics

Standard deviation3.4463438 × 1010
Coefficient of variation (CV)0.0017090033
Kurtosis-0.41166548
Mean2.0165811 × 1013
Median Absolute Deviation (MAD)2.0093991 × 1010
Skewness-0.85765336
Sum2.0165811 × 1017
Variance1.1877286 × 1021
MonotonicityNot monotonic
2024-04-22T09:41:10.747128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170606134036 1
 
< 0.1%
20200325092148 1
 
< 0.1%
20160707151310 1
 
< 0.1%
20111024165426 1
 
< 0.1%
20161020150857 1
 
< 0.1%
20100714093559 1
 
< 0.1%
20141125113127 1
 
< 0.1%
20180809111612 1
 
< 0.1%
20110323125848 1
 
< 0.1%
20110908170414 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
20070710110323 1
< 0.1%
20070710114625 1
< 0.1%
20070810101301 1
< 0.1%
20070810134119 1
< 0.1%
20070813110410 1
< 0.1%
20070813135814 1
< 0.1%
20070814111748 1
< 0.1%
20070911094849 1
< 0.1%
20071004163944 1
< 0.1%
20071010173022 1
< 0.1%
ValueCountFrequency (%)
20201231141444 1
< 0.1%
20201231141307 1
< 0.1%
20201231141125 1
< 0.1%
20201231091329 1
< 0.1%
20201230175928 1
< 0.1%
20201230175606 1
< 0.1%
20201230130938 1
< 0.1%
20201230112138 1
< 0.1%
20201230112021 1
< 0.1%
20201230101400 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8243 
U
1757 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8243
82.4%
U 1757
 
17.6%

Length

2024-04-22T09:41:10.883330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:41:10.968465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8243
82.4%
u 1757
 
17.6%

데이터갱신일자
Date

Distinct1012
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-22T09:41:11.075634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:41:11.207227image/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
4525 
기타
2113 
종합몰
1376 
건강/식품
836 
레져/여행/공연
 
356
Other values (7)
794 

Length

Max length11
Median length9
Mean length7.1499
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의류/패션/잡화/뷰티
2nd row컴퓨터/사무용품
3rd row기타
4th row의류/패션/잡화/뷰티
5th row기타

Common Values

ValueCountFrequency (%)
의류/패션/잡화/뷰티 4525
45.2%
기타 2113
21.1%
종합몰 1376
 
13.8%
건강/식품 836
 
8.4%
레져/여행/공연 356
 
3.6%
교육/도서/완구/오락 252
 
2.5%
컴퓨터/사무용품 205
 
2.1%
가전 107
 
1.1%
가구/수납용품 106
 
1.1%
자동차/자동차용품 93
 
0.9%
Other values (2) 31
 
0.3%

Length

2024-04-22T09:41:11.347883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의류/패션/잡화/뷰티 4525
45.2%
기타 2113
21.1%
종합몰 1376
 
13.8%
건강/식품 836
 
8.4%
레져/여행/공연 356
 
3.6%
교육/도서/완구/오락 252
 
2.5%
컴퓨터/사무용품 205
 
2.1%
가전 107
 
1.1%
가구/수납용품 106
 
1.1%
자동차/자동차용품 93
 
0.9%
Other values (2) 31
 
0.3%

좌표정보(x)
Real number (ℝ)

MISSING  SKEWED 

Distinct6020
Distinct (%)61.9%
Missing270
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean387636.28
Minimum144976.39
Maximum398716.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:11.474620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144976.39
5-th percentile384150.8
Q1385789.37
median387755.98
Q3389186.64
95-th percentile391821.39
Maximum398716.5
Range253740.11
Interquartile range (IQR)3397.2724

Descriptive statistics

Standard deviation5139.187
Coefficient of variation (CV)0.013257756
Kurtosis1290.0637
Mean387636.28
Median Absolute Deviation (MAD)1706.1814
Skewness-31.750982
Sum3.771701 × 109
Variance26411243
MonotonicityNot monotonic
2024-04-22T09:41:11.623525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 69
 
0.7%
387618.822819234 63
 
0.6%
392474.578116018 52
 
0.5%
388140.891260505 50
 
0.5%
387768.514676203 47
 
0.5%
387748.383011444 38
 
0.4%
393163.706837417 32
 
0.3%
387816.362564942 32
 
0.3%
389816.233000769 29
 
0.3%
387144.17668815 27
 
0.3%
Other values (6010) 9291
92.9%
(Missing) 270
 
2.7%
ValueCountFrequency (%)
144976.391329 1
< 0.1%
181110.0 1
< 0.1%
196515.609980537 1
< 0.1%
205743.422814839 1
< 0.1%
207477.065034569 1
< 0.1%
364527.971147347 1
< 0.1%
373753.987508718 1
< 0.1%
375182.850203915 1
< 0.1%
378355.352630585 1
< 0.1%
379594.935538839 1
< 0.1%
ValueCountFrequency (%)
398716.499369453 1
 
< 0.1%
396771.437409211 1
 
< 0.1%
393814.249916409 1
 
< 0.1%
393449.693784 11
 
0.1%
393163.706837417 32
0.3%
392970.505620613 1
 
< 0.1%
392943.519664196 5
 
0.1%
392916.629432 1
 
< 0.1%
392903.43516704 1
 
< 0.1%
392898.429749 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING  SKEWED 

Distinct6030
Distinct (%)62.0%
Missing270
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean185142.07
Minimum143707.48
Maximum451284.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:41:11.752591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143707.48
5-th percentile178652.34
Q1181987.15
median185116.06
Q3187480.44
95-th percentile191785.26
Maximum451284.08
Range307576.6
Interquartile range (IQR)5493.288

Descriptive statistics

Standard deviation6665.9263
Coefficient of variation (CV)0.036004385
Kurtosis949.77876
Mean185142.07
Median Absolute Deviation (MAD)2726.0337
Skewness24.369194
Sum1.8014323 × 109
Variance44434574
MonotonicityNot monotonic
2024-04-22T09:41:11.888058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 69
 
0.7%
186273.478853367 63
 
0.6%
184063.252176119 50
 
0.5%
183052.21115244 48
 
0.5%
184371.452375082 47
 
0.5%
185533.437357236 38
 
0.4%
186316.00373302 32
 
0.3%
180257.324526174 32
 
0.3%
193329.605871168 29
 
0.3%
190534.020672018 27
 
0.3%
Other values (6020) 9295
93.0%
(Missing) 270
 
2.7%
ValueCountFrequency (%)
143707.482706 1
 
< 0.1%
174211.496764498 1
 
< 0.1%
174683.069423816 9
0.1%
174764.125702762 5
0.1%
175140.099221406 8
0.1%
175439.057238153 1
 
< 0.1%
175490.845895 1
 
< 0.1%
175520.650585192 1
 
< 0.1%
175580.741380931 7
0.1%
175603.216072249 2
 
< 0.1%
ValueCountFrequency (%)
451284.080255576 1
< 0.1%
448873.564101889 1
< 0.1%
441617.349542947 1
< 0.1%
438183.0 1
< 0.1%
204309.212704419 1
< 0.1%
194384.930962376 1
< 0.1%
194175.406418151 1
< 0.1%
193809.960075181 1
< 0.1%
193611.459802136 1
< 0.1%
193553.775801604 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 

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9403 
기타, 인터넷
 
120
기타
 
119
<NA>
 
87
인터넷, 기타
 
38
Other values (44)
 
233

Length

Max length26
Median length3
Mean length3.2786
Min length2

Unique

Unique16 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 9403
94.0%
기타, 인터넷 120
 
1.2%
기타 119
 
1.2%
<NA> 87
 
0.9%
인터넷, 기타 38
 
0.4%
카다로그, 인터넷 25
 
0.2%
TV홈쇼핑 24
 
0.2%
TV홈쇼핑, 인터넷 23
 
0.2%
인터넷, TV홈쇼핑 15
 
0.1%
기타, 카다로그, 인터넷 14
 
0.1%
Other values (39) 132
 
1.3%

Length

2024-04-22T09:41:12.017392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9743
92.6%
기타 356
 
3.4%
카다로그 139
 
1.3%
tv홈쇼핑 109
 
1.0%
신문잡지 88
 
0.8%
na 87
 
0.8%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
1652216523통신판매업08_26_04_P3290000201332901073020044320131014<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-636-7104<NA><NA><NA>부산광역시 부산진구 범일로142번길 29 (범천동, 2층)614827태극쥬얼리20170606134036I2018-08-31 23:59:59.0의류/패션/잡화/뷰티387754.150018184576.741125<NA><NA><NA>인터넷<NA>
2021120212통신판매업08_26_04_P3300000201133000793020019320110908<NA>3폐업3폐업처리20130830<NA><NA><NA>527-7281<NA>607830부산광역시 동래구 안락동 628번지 11호부산광역시 동래구 연안로59번길 79 (안락동)<NA>스캔넷정보시스템20130830171721I2018-08-31 23:59:59.0컴퓨터/사무용품391545.481519190383.94069<NA><NA><NA>인터넷<NA>
1267812679통신판매업08_26_04_P3290000201432901073020056920141103<NA>3폐업3폐업처리20150602<NA><NA><NA>070-4406-2709<NA><NA><NA>부산광역시 부산진구 범양로45번길 22 (범전동)614824버블캐슬천연공방20150602092104I2018-08-31 23:59:59.0기타387808.841747187523.3633<NA><NA><NA>인터넷<NA>
2580925810통신판매업08_26_04_P3310000201833100883020006820180220<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 용호동 522번지 2호 용호동일타운부산광역시 남구 동명로170번길 93, 용호동일타운 2동 203호 (용호동, 용호동일타운)48588준이패밀리20180220171627I2018-08-31 23:59:59.0의류/패션/잡화/뷰티392794.143192181593.607717<NA><NA><NA>인터넷<NA>
2345323454통신판매업08_26_04_P3310000201733100883020033920170809<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-611-3550<NA><NA><NA>부산광역시 남구 못골로 104, 1층 (대연동)48445나운컴퍼니20170809141214I2018-08-31 23:59:59.0기타390740.39576183811.743835<NA><NA><NA>인터넷<NA>
25122513통신판매업08_26_04_P3250000201632500833020031120161214<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 광복로49번길 21, 1층 (신창동1가)48947더블링20180717142257I2018-08-31 23:59:59.0의류/패션/잡화/뷰티385053.891118179895.373796<NA><NA><NA>인터넷<NA>
1535715358통신판매업08_26_04_P3290000201332901073020018020130415<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-338-1090<NA><NA><NA>부산광역시 부산진구 동성로 113-1 (전포동, 3층101호)614865인터랙티브통번역센터20150414114215I2018-08-31 23:59:59.0기타388209.45124186477.339863<NA><NA><NA>인터넷<NA>
2367723678통신판매업08_26_04_P3310000201933101003020009720190207<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 245번지 137호 신원아파트부산광역시 남구 황령대로319번가길 158-30, 102동 309호 (대연동, 신원아파트)48424살롱드베베20190207144949I2019-02-09 02:21:15.0종합몰390057.709411185572.417307<NA><NA><NA>인터넷<NA>
2169521696통신판매업08_26_04_P3300000201533000793020030720151029<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 충렬대로 173 (명륜동)47736Le moa20171227185353I2018-08-31 23:59:59.0의류/패션/잡화/뷰티389271.62633191413.609719<NA><NA><NA>인터넷<NA>
2636626367통신판매업08_26_04_P3310000201233100823020015320120622<NA>3폐업3폐업처리20130618<NA><NA><NA>070-8256-7601<NA>608040부산광역시 남구 문현동 336번지 14호 삼한사랑채 804호부산광역시 남구 수영로 18-8, 804호 (문현동, 삼한사랑채)608828상희미젤20130618150346I2018-08-31 23:59:59.0의류/패션/잡화/뷰티388551.91579183876.033216<NA><NA><NA>인터넷<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
1990119902통신판매업08_26_04_P3300000201933000993020050520190827<NA>3폐업3폐업처리20200313<NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 178번지 7호 벽산아스타부산광역시 동래구 중앙대로1473번길 13, 103동 702호 (온천동, 벽산아스타)47711플로라코스메틱20200314100103U2020-03-17 02:40:00.0의류/패션/잡화/뷰티389549.644753192862.080321<NA><NA><NA>인터넷<NA>
2036320364통신판매업08_26_04_P3300000201033000763020016820100615<NA>3폐업3폐업처리20110603<NA><NA><NA><NA><NA>607763부산광역시 동래구 복천동 446번지 1호 현대아파트 102동 1504호부산광역시 동래구 복천로5번길 31 (복천동,현대아파트 102동 1504호)<NA>청명원20110609100320I2018-08-31 23:59:59.0기타389918.243432191779.614035<NA><NA><NA>인터넷<NA>
1623416235통신판매업08_26_04_P3290000201032900853020019620100423<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>614090부산광역시 부산진구 부암동 567번지부산광역시 부산진구 부암당산로21번가길 4 (부암동)<NA>올리(Ollie)20161226173314I2018-08-31 23:59:59.0의류/패션/잡화/뷰티385396.406701187820.746808<NA><NA><NA>인터넷<NA>
1630416305통신판매업08_26_04_P3290000201032900853020029220100616<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-805-1675<NA>614030부산광역시 부산진구 부전동 264번지 3호 3층부산광역시 부산진구 새싹로28번길 24 (부전동,3층)<NA>현대관광통역평생교육원20120910173516I2018-08-31 23:59:59.0교육/도서/완구/오락387486.093652186515.015262<NA><NA><NA>인터넷<NA>
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