Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells116436
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

Description2021-03-01
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 has a high cardinality: 51 distinct valuesHigh cardinality
판매방식명 is highly imbalanced (90.1%)Imbalance
인허가취소일자 has 9876 (98.8%) missing valuesMissing
폐업일자 has 8079 (80.8%) missing valuesMissing
휴업시작일자 has 9978 (99.8%) missing valuesMissing
휴업종료일자 has 9980 (99.8%) missing valuesMissing
재개업일자 has 9988 (99.9%) missing valuesMissing
소재지전화 has 5396 (54.0%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7588 (75.9%) missing valuesMissing
소재지전체주소 has 2866 (28.7%) missing valuesMissing
도로명전체주소 has 303 (3.0%) missing valuesMissing
도로명우편번호 has 1878 (18.8%) missing valuesMissing
좌표정보(x) has 252 (2.5%) missing valuesMissing
좌표정보(y) has 252 (2.5%) 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 = -25.27257956)Skewed
좌표정보(x) is highly skewed (γ1 = -29.81364754)Skewed
좌표정보(y) is highly skewed (γ1 = 24.46937952)Skewed
번호 has unique valuesUnique
관리번호 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 00:39:30.537666
Analysis finished2024-04-22 00:39:32.416641
Duration1.88 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%
Mean13259.901
Minimum1
Maximum26555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:32.483814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1305.7
Q16557.75
median13274
Q319788.25
95-th percentile25289.05
Maximum26555
Range26554
Interquartile range (IQR)13230.5

Descriptive statistics

Standard deviation7681.4581
Coefficient of variation (CV)0.57929981
Kurtosis-1.1948226
Mean13259.901
Median Absolute Deviation (MAD)6604
Skewness-7.9373819 × 10-5
Sum1.3259901 × 108
Variance59004799
MonotonicityNot monotonic
2024-04-22T09:39:32.622402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22739 1
 
< 0.1%
24634 1
 
< 0.1%
22091 1
 
< 0.1%
6520 1
 
< 0.1%
4314 1
 
< 0.1%
10378 1
 
< 0.1%
6396 1
 
< 0.1%
3902 1
 
< 0.1%
4911 1
 
< 0.1%
18148 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
6 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
22 1
< 0.1%
26 1
< 0.1%
28 1
< 0.1%
ValueCountFrequency (%)
26555 1
< 0.1%
26551 1
< 0.1%
26550 1
< 0.1%
26546 1
< 0.1%
26545 1
< 0.1%
26543 1
< 0.1%
26539 1
< 0.1%
26538 1
< 0.1%
26535 1
< 0.1%
26533 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

2024-04-22T09:39:32.756768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:39:32.852183image/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

2024-04-22T09:39:32.942267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:39:33.034716image/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%
Mean3286335
Minimum3250000
Maximum3310000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:33.111359image/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 deviation18268.857
Coefficient of variation (CV)0.0055590369
Kurtosis-0.53914639
Mean3286335
Median Absolute Deviation (MAD)10000
Skewness-0.68130528
Sum3.286335 × 1010
Variance3.3375115 × 108
MonotonicityNot monotonic
2024-04-22T09:39:33.242266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3290000 3526
35.3%
3300000 1859
18.6%
3310000 1497
15.0%
3250000 1055
 
10.5%
3270000 1015
 
10.2%
3260000 610
 
6.1%
3280000 438
 
4.4%
ValueCountFrequency (%)
3250000 1055
 
10.5%
3260000 610
 
6.1%
3270000 1015
 
10.2%
3280000 438
 
4.4%
3290000 3526
35.3%
3300000 1859
18.6%
3310000 1497
15.0%
ValueCountFrequency (%)
3310000 1497
15.0%
3300000 1859
18.6%
3290000 3526
35.3%
3280000 438
 
4.4%
3270000 1015
 
10.2%
3260000 610
 
6.1%
3250000 1055
 
10.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.015568 × 1018
Minimum2.000327 × 1018
Maximum2.021331 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:33.372650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.000327 × 1018
5-th percentile2.00733 × 1018
Q12.012329 × 1018
median2.01633 × 1018
Q32.019329 × 1018
95-th percentile2.020331 × 1018
Maximum2.021331 × 1018
Range2.1004005 × 1016
Interquartile range (IQR)7.0000043 × 1015

Descriptive statistics

Standard deviation4.2906464 × 1015
Coefficient of variation (CV)0.0021287529
Kurtosis-0.63873136
Mean2.015568 × 1018
Median Absolute Deviation (MAD)3.0010021 × 1015
Skewness-0.6452065
Sum-6.6108373 × 1018
Variance1.8409646 × 1031
MonotonicityNot monotonic
2024-04-22T09:39:33.508495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2014331008830200219 1
 
< 0.1%
2019331010030200491 1
 
< 0.1%
2009330006430200160 1
 
< 0.1%
2017327008630200180 1
 
< 0.1%
2018326009730200107 1
 
< 0.1%
2011329008530200527 1
 
< 0.1%
2013327008630200093 1
 
< 0.1%
2016326007030200007 1
 
< 0.1%
2019327013930200090 1
 
< 0.1%
2019330009930200403 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2000327007130200358 1
< 0.1%
2000329008530200000 1
< 0.1%
2001325005930200823 1
< 0.1%
2001330006430200680 1
< 0.1%
2001330006430200702 1
< 0.1%
2002326006630200040 1
< 0.1%
2002327007130201037 1
< 0.1%
2002329008530200037 1
< 0.1%
2002329008530200043 1
< 0.1%
2002329008530200071 1
< 0.1%
ValueCountFrequency (%)
2021331011930200103 1
< 0.1%
2021331011930200095 1
< 0.1%
2021331011930200087 1
< 0.1%
2021331011930200076 1
< 0.1%
2021331011930200073 1
< 0.1%
2021331011930200072 1
< 0.1%
2021331011930200061 1
< 0.1%
2021331011930200060 1
< 0.1%
2021331011930200057 1
< 0.1%
2021331011930200056 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3335
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151298
Minimum20000719
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:33.639317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000719
5-th percentile20071019
Q120120208
median20160802
Q320190418
95-th percentile20201012
Maximum20210129
Range209410
Interquartile range (IQR)70210.25

Descriptive statistics

Standard deviation43246.295
Coefficient of variation (CV)0.0021460799
Kurtosis-0.70211131
Mean20151298
Median Absolute Deviation (MAD)30305
Skewness-0.60143872
Sum2.0151298 × 1011
Variance1.8702421 × 109
MonotonicityNot monotonic
2024-04-22T09:39:33.783300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210104 25
 
0.2%
20200907 16
 
0.2%
20210105 15
 
0.1%
20201015 15
 
0.1%
20200414 15
 
0.1%
20200206 14
 
0.1%
20200902 14
 
0.1%
20200521 14
 
0.1%
20200427 14
 
0.1%
20200709 13
 
0.1%
Other values (3325) 9845
98.5%
ValueCountFrequency (%)
20000719 1
< 0.1%
20010916 1
< 0.1%
20010927 1
< 0.1%
20011205 1
< 0.1%
20020110 1
< 0.1%
20020304 1
< 0.1%
20020530 1
< 0.1%
20020614 1
< 0.1%
20020905 1
< 0.1%
20020925 1
< 0.1%
ValueCountFrequency (%)
20210129 5
 
0.1%
20210128 13
0.1%
20210127 7
0.1%
20210126 6
0.1%
20210125 10
0.1%
20210122 7
0.1%
20210121 6
0.1%
20210120 8
0.1%
20210119 11
0.1%
20210118 3
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)20.2%
Missing9876
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20100163
Minimum20080715
Maximum20151120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:34.111841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080715
5-th percentile20080908
Q120100413
median20100713
Q320101206
95-th percentile20131217
Maximum20151120
Range70405
Interquartile range (IQR)793

Descriptive statistics

Standard deviation14530.859
Coefficient of variation (CV)0.00072292244
Kurtosis4.1300669
Mean20100163
Median Absolute Deviation (MAD)398.5
Skewness1.6017913
Sum2.4924202 × 109
Variance2.1114585 × 108
MonotonicityNot monotonic
2024-04-22T09:39:34.236848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20100713 31
 
0.3%
20100730 24
 
0.2%
20080908 15
 
0.1%
20101231 13
 
0.1%
20101206 9
 
0.1%
20091006 5
 
0.1%
20151120 4
 
< 0.1%
20100413 4
 
< 0.1%
20080818 2
 
< 0.1%
20131204 2
 
< 0.1%
Other values (15) 15
 
0.1%
(Missing) 9876
98.8%
ValueCountFrequency (%)
20080715 1
 
< 0.1%
20080818 2
 
< 0.1%
20080908 15
0.1%
20081001 1
 
< 0.1%
20081209 1
 
< 0.1%
20081226 1
 
< 0.1%
20081228 1
 
< 0.1%
20091006 5
 
0.1%
20091119 1
 
< 0.1%
20100326 1
 
< 0.1%
ValueCountFrequency (%)
20151120 4
 
< 0.1%
20141202 1
 
< 0.1%
20131230 1
 
< 0.1%
20131219 1
 
< 0.1%
20131204 2
 
< 0.1%
20130617 1
 
< 0.1%
20121130 1
 
< 0.1%
20101231 13
0.1%
20101206 9
0.1%
20101122 1
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5586 
4
2482 
3
1921 
2
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5586
55.9%
4 2482
24.8%
3 1921
 
19.2%
2 11
 
0.1%

Length

2024-04-22T09:39:34.363111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:39:34.467487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5586
55.9%
4 2482
24.8%
3 1921
 
19.2%
2 11
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5586 
취소/말소/만료/정지/중지
2482 
폐업
1921 
휴업
 
11

Length

Max length14
Median length5
Mean length6.6542
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5586
55.9%
취소/말소/만료/정지/중지 2482
24.8%
폐업 1921
 
19.2%
휴업 11
 
0.1%

Length

2024-04-22T09:39:34.581377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:39:34.683467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5586
55.9%
취소/말소/만료/정지/중지 2482
24.8%
폐업 1921
 
19.2%
휴업 11
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8378
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:34.771267image/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 deviation2.4485691
Coefficient of variation (CV)0.86284062
Kurtosis-0.8524987
Mean2.8378
Median Absolute Deviation (MAD)0
Skewness0.92386273
Sum28378
Variance5.9954907
MonotonicityNot monotonic
2024-04-22T09:39:34.873029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5585
55.9%
7 2358
23.6%
3 1921
 
19.2%
4 124
 
1.2%
2 11
 
0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
1 5585
55.9%
2 11
 
0.1%
3 1921
 
19.2%
4 124
 
1.2%
6 1
 
< 0.1%
7 2358
23.6%
ValueCountFrequency (%)
7 2358
23.6%
6 1
 
< 0.1%
4 124
 
1.2%
3 1921
 
19.2%
2 11
 
0.1%
1 5585
55.9%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
5585 
직권말소
2358 
폐업처리
1921 
직권취소
 
124
휴업처리
 
11

Length

Max length6
Median length4
Mean length4.0002
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 5585
55.9%
직권말소 2358
23.6%
폐업처리 1921
 
19.2%
직권취소 124
 
1.2%
휴업처리 11
 
0.1%
타시군구전입 1
 
< 0.1%

Length

2024-04-22T09:39:34.996553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:39:35.108078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 5585
55.9%
직권말소 2358
23.6%
폐업처리 1921
 
19.2%
직권취소 124
 
1.2%
휴업처리 11
 
0.1%
타시군구전입 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1374
Distinct (%)71.5%
Missing8079
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean20146556
Minimum20070509
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:35.226183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070509
5-th percentile20080922
Q120110318
median20150401
Q320181219
95-th percentile20201113
Maximum20210129
Range139620
Interquartile range (IQR)70901

Descriptive statistics

Standard deviation41016.564
Coefficient of variation (CV)0.0020359095
Kurtosis-1.3274068
Mean20146556
Median Absolute Deviation (MAD)39727
Skewness-0.12480037
Sum3.8701533 × 1010
Variance1.6823585 × 109
MonotonicityNot monotonic
2024-04-22T09:39:35.382613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190628 11
 
0.1%
20151230 9
 
0.1%
20090311 6
 
0.1%
20200324 6
 
0.1%
20081230 5
 
0.1%
20111230 5
 
0.1%
20210120 5
 
0.1%
20201230 5
 
0.1%
20180119 5
 
0.1%
20201209 5
 
0.1%
Other values (1364) 1859
 
18.6%
(Missing) 8079
80.8%
ValueCountFrequency (%)
20070509 1
< 0.1%
20070522 1
< 0.1%
20070615 1
< 0.1%
20070618 1
< 0.1%
20070625 1
< 0.1%
20070706 1
< 0.1%
20070723 1
< 0.1%
20070725 1
< 0.1%
20070813 1
< 0.1%
20070824 2
< 0.1%
ValueCountFrequency (%)
20210129 2
 
< 0.1%
20210128 3
< 0.1%
20210127 2
 
< 0.1%
20210126 4
< 0.1%
20210125 1
 
< 0.1%
20210123 1
 
< 0.1%
20210122 3
< 0.1%
20210121 2
 
< 0.1%
20210120 5
0.1%
20210119 4
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing9978
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20139354
Minimum20080527
Maximum20201216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:35.511884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080527
5-th percentile20081212
Q120101036
median20130721
Q320192960
95-th percentile20201190
Maximum20201216
Range120689
Interquartile range (IQR)91923.5

Descriptive statistics

Standard deviation45118.104
Coefficient of variation (CV)0.0022402955
Kurtosis-1.4468339
Mean20139354
Median Absolute Deviation (MAD)39894.5
Skewness0.30505831
Sum4.4306579 × 108
Variance2.0356433 × 109
MonotonicityNot monotonic
2024-04-22T09:39:35.638024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20130219 1
 
< 0.1%
20170602 1
 
< 0.1%
20110101 1
 
< 0.1%
20201204 1
 
< 0.1%
20200802 1
 
< 0.1%
20120308 1
 
< 0.1%
20140722 1
 
< 0.1%
20090813 1
 
< 0.1%
20160101 1
 
< 0.1%
20090630 1
 
< 0.1%
Other values (12) 12
 
0.1%
(Missing) 9978
99.8%
ValueCountFrequency (%)
20080527 1
< 0.1%
20080716 1
< 0.1%
20090630 1
< 0.1%
20090729 1
< 0.1%
20090813 1
< 0.1%
20101014 1
< 0.1%
20101102 1
< 0.1%
20110101 1
< 0.1%
20120308 1
< 0.1%
20121120 1
< 0.1%
ValueCountFrequency (%)
20201216 1
< 0.1%
20201204 1
< 0.1%
20200924 1
< 0.1%
20200802 1
< 0.1%
20200703 1
< 0.1%
20200412 1
< 0.1%
20170602 1
< 0.1%
20160101 1
< 0.1%
20140722 1
< 0.1%
20140601 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing9980
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20147912
Minimum20081129
Maximum20230131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:35.758167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081129
5-th percentile20099561
Q120101050
median20136124
Q320203506
95-th percentile20221676
Maximum20230131
Range149002
Interquartile range (IQR)102455.75

Descriptive statistics

Standard deviation50757.595
Coefficient of variation (CV)0.0025192485
Kurtosis-1.4387676
Mean20147912
Median Absolute Deviation (MAD)35305.5
Skewness0.44320037
Sum4.0295823 × 108
Variance2.5763335 × 109
MonotonicityNot monotonic
2024-04-22T09:39:35.874168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20221231 1
 
< 0.1%
20170630 1
 
< 0.1%
20111231 1
 
< 0.1%
20211130 1
 
< 0.1%
20220101 1
 
< 0.1%
20121231 1
 
< 0.1%
20100812 1
 
< 0.1%
20161231 1
 
< 0.1%
20100629 1
 
< 0.1%
20131119 1
 
< 0.1%
Other values (10) 10
 
0.1%
(Missing) 9980
99.8%
ValueCountFrequency (%)
20081129 1
< 0.1%
20100531 1
< 0.1%
20100629 1
< 0.1%
20100812 1
< 0.1%
20100826 1
< 0.1%
20101125 1
< 0.1%
20101231 1
< 0.1%
20111231 1
< 0.1%
20121231 1
< 0.1%
20131119 1
< 0.1%
ValueCountFrequency (%)
20230131 1
< 0.1%
20221231 1
< 0.1%
20220101 1
< 0.1%
20211130 1
< 0.1%
20210331 1
< 0.1%
20201231 1
< 0.1%
20170630 1
< 0.1%
20161231 1
< 0.1%
20141222 1
< 0.1%
20141130 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing9988
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20153768
Minimum20080522
Maximum20210126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:35.996747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080522
5-th percentile20080581
Q120100218
median20175274
Q320190382
95-th percentile20204946
Maximum20210126
Range129604
Interquartile range (IQR)90163.5

Descriptive statistics

Standard deviation49386.982
Coefficient of variation (CV)0.0024505086
Kurtosis-1.5239762
Mean20153768
Median Absolute Deviation (MAD)24791
Skewness-0.57840207
Sum2.4184521 × 108
Variance2.439074 × 109
MonotonicityNot monotonic
2024-04-22T09:39:36.110758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20100217 1
 
< 0.1%
20170321 1
 
< 0.1%
20080630 1
 
< 0.1%
20180226 1
 
< 0.1%
20190613 1
 
< 0.1%
20190305 1
 
< 0.1%
20100219 1
 
< 0.1%
20151126 1
 
< 0.1%
20080522 1
 
< 0.1%
20210126 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 9988
99.9%
ValueCountFrequency (%)
20080522 1
< 0.1%
20080630 1
< 0.1%
20100217 1
< 0.1%
20100219 1
< 0.1%
20151126 1
< 0.1%
20170321 1
< 0.1%
20180226 1
< 0.1%
20190201 1
< 0.1%
20190305 1
< 0.1%
20190613 1
< 0.1%
ValueCountFrequency (%)
20210126 1
< 0.1%
20200708 1
< 0.1%
20190613 1
< 0.1%
20190305 1
< 0.1%
20190201 1
< 0.1%
20180226 1
< 0.1%
20170321 1
< 0.1%
20151126 1
< 0.1%
20100219 1
< 0.1%
20100217 1
< 0.1%

소재지전화
Text

MISSING 

Distinct4519
Distinct (%)98.2%
Missing5396
Missing (%)54.0%
Memory size156.2 KiB
2024-04-22T09:39:36.340603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.388575
Min length1

Characters and Unicode

Total characters52433
Distinct characters17
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

Unique4440 ?
Unique (%)96.4%

Sample

1st row051-246-1735
2nd row819-8022
3rd row051-242-4732
4th row051-465-1113
5th row051-245-5514
ValueCountFrequency (%)
051 275
 
5.3%
245 15
 
0.3%
462 14
 
0.3%
441 14
 
0.3%
466 13
 
0.3%
246 10
 
0.2%
070 10
 
0.2%
244 10
 
0.2%
464 9
 
0.2%
248 8
 
0.2%
Other values (4595) 4765
92.7%
2024-04-22T09:39:36.713373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8344
15.9%
- 7415
14.1%
5 6380
12.2%
1 5937
11.3%
7 4011
7.6%
8 3711
7.1%
2 3647
7.0%
4 3613
6.9%
6 3407
6.5%
3 2849
 
5.4%
Other values (7) 3119
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44401
84.7%
Dash Punctuation 7415
 
14.1%
Space Separator 543
 
1.0%
Close Punctuation 58
 
0.1%
Other Punctuation 9
 
< 0.1%
Math Symbol 6
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8344
18.8%
5 6380
14.4%
1 5937
13.4%
7 4011
9.0%
8 3711
8.4%
2 3647
8.2%
4 3613
8.1%
6 3407
7.7%
3 2849
 
6.4%
9 2502
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
* 1
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 7415
100.0%
Space Separator
ValueCountFrequency (%)
543
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8344
15.9%
- 7415
14.1%
5 6380
12.2%
1 5937
11.3%
7 4011
7.6%
8 3711
7.1%
2 3647
7.0%
4 3613
6.9%
6 3407
6.5%
3 2849
 
5.4%
Other values (7) 3119
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8344
15.9%
- 7415
14.1%
5 6380
12.2%
1 5937
11.3%
7 4011
7.6%
8 3711
7.1%
2 3647
7.0%
4 3613
6.9%
6 3407
6.5%
3 2849
 
5.4%
Other values (7) 3119
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct495
Distinct (%)20.5%
Missing7588
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean607634.06
Minimum130020
Maximum621831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:36.855191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130020
5-th percentile600063
Q1602804
median607828
Q3614040
95-th percentile614857
Maximum621831
Range491811
Interquartile range (IQR)11236

Descriptive statistics

Standard deviation15299.351
Coefficient of variation (CV)0.02517856
Kurtosis756.53927
Mean607634.06
Median Absolute Deviation (MAD)6182
Skewness-25.27258
Sum1.4656133 × 109
Variance2.3407013 × 108
MonotonicityNot monotonic
2024-04-22T09:39:36.994764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614030 98
 
1.0%
607060 97
 
1.0%
614040 88
 
0.9%
608020 63
 
0.6%
614050 57
 
0.6%
614020 53
 
0.5%
607120 46
 
0.5%
614010 40
 
0.4%
607100 39
 
0.4%
614110 30
 
0.3%
Other values (485) 1801
 
18.0%
(Missing) 7588
75.9%
ValueCountFrequency (%)
130020 1
 
< 0.1%
143200 1
 
< 0.1%
425809 1
 
< 0.1%
464100 1
 
< 0.1%
600010 1
 
< 0.1%
600011 5
 
0.1%
600012 6
0.1%
600013 7
0.1%
600014 14
0.1%
600015 6
0.1%
ValueCountFrequency (%)
621831 1
 
< 0.1%
617832 1
 
< 0.1%
617815 1
 
< 0.1%
614882 3
< 0.1%
614876 5
0.1%
614875 1
 
< 0.1%
614874 3
< 0.1%
614873 7
0.1%
614872 3
< 0.1%
614871 6
0.1%

소재지전체주소
Text

MISSING 

Distinct5886
Distinct (%)82.5%
Missing2866
Missing (%)28.7%
Memory size156.2 KiB
2024-04-22T09:39:37.309501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length27.141716
Min length8

Characters and Unicode

Total characters193629
Distinct characters542
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5265 ?
Unique (%)73.8%

Sample

1st row부산광역시 중구 대창동1가 25번지 1호
2nd row부산광역시 동래구 낙민동 185번지 1호 한신아파트
3rd row부산광역시 부산진구 부암동 80번지 21호
4th row부산광역시 부산진구 가야동 648번지 13통 4반 한일하나로맨션 3동 203호
5th row부산광역시 동구 초량3동 48번지 1호 한국화장품 201호
ValueCountFrequency (%)
부산광역시 7051
 
17.5%
부산진구 2365
 
5.9%
동래구 1419
 
3.5%
남구 1094
 
2.7%
1호 805
 
2.0%
중구 724
 
1.8%
동구 695
 
1.7%
전포동 519
 
1.3%
대연동 460
 
1.1%
서구 437
 
1.1%
Other values (5253) 24815
61.4%
2024-04-22T09:39:37.811745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33349
 
17.2%
부 10380
 
5.4%
동 10343
 
5.3%
산 9764
 
5.0%
1 8132
 
4.2%
시 7355
 
3.8%
광 7163
 
3.7%
구 7119
 
3.7%
역 7091
 
3.7%
호 6359
 
3.3%
Other values (532) 86574
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120525
62.2%
Decimal Number 37671
 
19.5%
Space Separator 33349
 
17.2%
Dash Punctuation 1173
 
0.6%
Uppercase Letter 614
 
0.3%
Other Punctuation 113
 
0.1%
Lowercase Letter 102
 
0.1%
Close Punctuation 30
 
< 0.1%
Open Punctuation 30
 
< 0.1%
Letter Number 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 10380
 
8.6%
동 10343
 
8.6%
산 9764
 
8.1%
시 7355
 
6.1%
광 7163
 
5.9%
구 7119
 
5.9%
역 7091
 
5.9%
호 6359
 
5.3%
지 6262
 
5.2%
번 5844
 
4.8%
Other values (467) 42845
35.5%
Uppercase Letter
ValueCountFrequency (%)
S 98
16.0%
K 89
14.5%
B 74
12.1%
A 46
 
7.5%
C 40
 
6.5%
H 37
 
6.0%
T 32
 
5.2%
G 31
 
5.0%
U 26
 
4.2%
L 25
 
4.1%
Other values (13) 116
18.9%
Lowercase Letter
ValueCountFrequency (%)
e 24
23.5%
o 13
12.7%
i 12
11.8%
l 10
9.8%
n 7
 
6.9%
a 7
 
6.9%
v 5
 
4.9%
w 4
 
3.9%
d 3
 
2.9%
m 3
 
2.9%
Other values (8) 14
13.7%
Decimal Number
ValueCountFrequency (%)
1 8132
21.6%
2 5282
14.0%
3 4287
11.4%
4 3502
9.3%
0 3357
8.9%
5 3206
 
8.5%
6 2858
 
7.6%
7 2543
 
6.8%
8 2448
 
6.5%
9 2056
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 71
62.8%
/ 21
 
18.6%
@ 8
 
7.1%
& 6
 
5.3%
· 5
 
4.4%
. 2
 
1.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 13
92.9%
Ⅰ 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
∥ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
33349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120524
62.2%
Common 72374
37.4%
Latin 730
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 10380
 
8.6%
동 10343
 
8.6%
산 9764
 
8.1%
시 7355
 
6.1%
광 7163
 
5.9%
구 7119
 
5.9%
역 7091
 
5.9%
호 6359
 
5.3%
지 6262
 
5.2%
번 5844
 
4.8%
Other values (466) 42844
35.5%
Latin
ValueCountFrequency (%)
S 98
13.4%
K 89
 
12.2%
B 74
 
10.1%
A 46
 
6.3%
C 40
 
5.5%
H 37
 
5.1%
T 32
 
4.4%
G 31
 
4.2%
U 26
 
3.6%
L 25
 
3.4%
Other values (33) 232
31.8%
Common
ValueCountFrequency (%)
33349
46.1%
1 8132
 
11.2%
2 5282
 
7.3%
3 4287
 
5.9%
4 3502
 
4.8%
0 3357
 
4.6%
5 3206
 
4.4%
6 2858
 
3.9%
7 2543
 
3.5%
8 2448
 
3.4%
Other values (12) 3410
 
4.7%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120524
62.2%
ASCII 73084
37.7%
Number Forms 14
 
< 0.1%
None 5
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33349
45.6%
1 8132
 
11.1%
2 5282
 
7.2%
3 4287
 
5.9%
4 3502
 
4.8%
0 3357
 
4.6%
5 3206
 
4.4%
6 2858
 
3.9%
7 2543
 
3.5%
8 2448
 
3.3%
Other values (51) 4120
 
5.6%
Hangul
ValueCountFrequency (%)
부 10380
 
8.6%
동 10343
 
8.6%
산 9764
 
8.1%
시 7355
 
6.1%
광 7163
 
5.9%
구 7119
 
5.9%
역 7091
 
5.9%
호 6359
 
5.3%
지 6262
 
5.2%
번 5844
 
4.8%
Other values (466) 42844
35.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 13
92.9%
Ⅰ 1
 
7.1%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct9353
Distinct (%)96.5%
Missing303
Missing (%)3.0%
Memory size156.2 KiB
2024-04-22T09:39:38.155777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length35.328865
Min length20

Characters and Unicode

Total characters342584
Distinct characters586
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9066 ?
Unique (%)93.5%

Sample

1st row부산광역시 남구 전포대로 26, B동 2403호 (문현동, 문현삼성힐타워)
2nd row부산광역시 중구 중앙대로 115 (대창동1가)
3rd row부산광역시 남구 수영로346번길 18, 3층 (대연동)
4th row부산광역시 부산진구 동천로 10-1, 1620호 (전포동, 서면노르웨이 아침)
5th row부산광역시 동래구 낙민로 17, 6동 505호 (낙민동, 한신아파트)
ValueCountFrequency (%)
부산광역시 9693
 
15.3%
부산진구 3427
 
5.4%
동래구 1810
 
2.9%
남구 1488
 
2.3%
중구 1024
 
1.6%
동구 944
 
1.5%
1층 782
 
1.2%
전포동 651
 
1.0%
부전동 636
 
1.0%
대연동 611
 
1.0%
Other values (7765) 42350
66.8%
2024-04-22T09:39:38.641759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53738
 
15.7%
동 16258
 
4.7%
부 14755
 
4.3%
1 14636
 
4.3%
산 13659
 
4.0%
, 10940
 
3.2%
시 10384
 
3.0%
광 10198
 
3.0%
구 10055
 
2.9%
역 9756
 
2.8%
Other values (576) 178205
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193992
56.6%
Decimal Number 61165
 
17.9%
Space Separator 53738
 
15.7%
Other Punctuation 10981
 
3.2%
Close Punctuation 9723
 
2.8%
Open Punctuation 9722
 
2.8%
Dash Punctuation 2099
 
0.6%
Uppercase Letter 995
 
0.3%
Lowercase Letter 128
 
< 0.1%
Letter Number 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16258
 
8.4%
부 14755
 
7.6%
산 13659
 
7.0%
시 10384
 
5.4%
광 10198
 
5.3%
구 10055
 
5.2%
역 9756
 
5.0%
로 9575
 
4.9%
호 5405
 
2.8%
길 4959
 
2.6%
Other values (503) 88988
45.9%
Uppercase Letter
ValueCountFrequency (%)
B 179
18.0%
S 127
12.8%
A 117
11.8%
K 109
11.0%
C 88
8.8%
H 49
 
4.9%
L 48
 
4.8%
G 43
 
4.3%
D 36
 
3.6%
T 31
 
3.1%
Other values (14) 168
16.9%
Lowercase Letter
ValueCountFrequency (%)
e 27
21.1%
o 16
12.5%
l 11
 
8.6%
i 10
 
7.8%
n 8
 
6.2%
a 7
 
5.5%
c 6
 
4.7%
b 6
 
4.7%
m 5
 
3.9%
d 4
 
3.1%
Other values (11) 28
21.9%
Decimal Number
ValueCountFrequency (%)
1 14636
23.9%
2 9147
15.0%
0 8018
13.1%
3 6989
11.4%
4 5052
 
8.3%
5 4355
 
7.1%
6 3776
 
6.2%
7 3394
 
5.5%
9 2987
 
4.9%
8 2811
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 10940
99.6%
. 16
 
0.1%
/ 14
 
0.1%
· 5
 
< 0.1%
& 3
 
< 0.1%
@ 2
 
< 0.1%
' 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 15
83.3%
> 1
 
5.6%
< 1
 
5.6%
∥ 1
 
5.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 21
91.3%
Ⅲ 1
 
4.3%
Ⅰ 1
 
4.3%
Space Separator
ValueCountFrequency (%)
53738
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9723
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9722
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2099
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193991
56.6%
Common 147446
43.0%
Latin 1146
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16258
 
8.4%
부 14755
 
7.6%
산 13659
 
7.0%
시 10384
 
5.4%
광 10198
 
5.3%
구 10055
 
5.2%
역 9756
 
5.0%
로 9575
 
4.9%
호 5405
 
2.8%
길 4959
 
2.6%
Other values (502) 88987
45.9%
Latin
ValueCountFrequency (%)
B 179
15.6%
S 127
 
11.1%
A 117
 
10.2%
K 109
 
9.5%
C 88
 
7.7%
H 49
 
4.3%
L 48
 
4.2%
G 43
 
3.8%
D 36
 
3.1%
T 31
 
2.7%
Other values (38) 319
27.8%
Common
ValueCountFrequency (%)
53738
36.4%
1 14636
 
9.9%
, 10940
 
7.4%
) 9723
 
6.6%
( 9722
 
6.6%
2 9147
 
6.2%
0 8018
 
5.4%
3 6989
 
4.7%
4 5052
 
3.4%
5 4355
 
3.0%
Other values (15) 15126
 
10.3%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193991
56.6%
ASCII 148563
43.4%
Number Forms 23
 
< 0.1%
None 5
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53738
36.2%
1 14636
 
9.9%
, 10940
 
7.4%
) 9723
 
6.5%
( 9722
 
6.5%
2 9147
 
6.2%
0 8018
 
5.4%
3 6989
 
4.7%
4 5052
 
3.4%
5 4355
 
2.9%
Other values (58) 16243
 
10.9%
Hangul
ValueCountFrequency (%)
동 16258
 
8.4%
부 14755
 
7.6%
산 13659
 
7.0%
시 10384
 
5.4%
광 10198
 
5.3%
구 10055
 
5.2%
역 9756
 
5.0%
로 9575
 
4.9%
호 5405
 
2.8%
길 4959
 
2.6%
Other values (502) 88987
45.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 21
91.3%
Ⅲ 1
 
4.3%
Ⅰ 1
 
4.3%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1473
Distinct (%)18.1%
Missing1878
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean195482.92
Minimum7955
Maximum617832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:38.774503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7955
5-th percentile47196
Q147382.25
median48558
Q3600064
95-th percentile614839
Maximum617832
Range609877
Interquartile range (IQR)552681.75

Descriptive statistics

Standard deviation246881.45
Coefficient of variation (CV)1.262931
Kurtosis-0.83747763
Mean195482.92
Median Absolute Deviation (MAD)1197
Skewness1.0779888
Sum1.5877123 × 109
Variance6.0950452 × 1010
MonotonicityNot monotonic
2024-04-22T09:39:38.906247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 103
 
1.0%
47247 72
 
0.7%
47293 56
 
0.6%
48498 44
 
0.4%
47295 43
 
0.4%
48516 43
 
0.4%
47246 42
 
0.4%
48742 42
 
0.4%
47286 41
 
0.4%
47292 40
 
0.4%
Other values (1463) 7596
76.0%
(Missing) 1878
 
18.8%
ValueCountFrequency (%)
7955 1
 
< 0.1%
46649 1
 
< 0.1%
47100 1
 
< 0.1%
47101 2
 
< 0.1%
47102 3
< 0.1%
47104 5
0.1%
47105 2
 
< 0.1%
47106 2
 
< 0.1%
47107 1
 
< 0.1%
47108 7
0.1%
ValueCountFrequency (%)
617832 1
 
< 0.1%
614897 2
< 0.1%
614894 3
< 0.1%
614893 1
 
< 0.1%
614892 1
 
< 0.1%
614891 2
< 0.1%
614890 1
 
< 0.1%
614884 1
 
< 0.1%
614883 1
 
< 0.1%
614882 2
< 0.1%

사업장명
Text

Distinct9785
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T09:39:39.234875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length6.5446
Min length1

Characters and Unicode

Total characters65446
Distinct characters1121
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9593 ?
Unique (%)95.9%

Sample

1st row에프에프(FF)
2nd row(주)덕수산맥
3rd row베리굿즈
4th row찌니시대
5th row하이트레이드
ValueCountFrequency (%)
주식회사 356
 
3.0%
주 32
 
0.3%
더 18
 
0.1%
company 18
 
0.1%
the 17
 
0.1%
shop 16
 
0.1%
korea 14
 
0.1%
컴퍼니 13
 
0.1%
12
 
0.1%
스튜디오 12
 
0.1%
Other values (10756) 11559
95.8%
2024-04-22T09:39:39.736123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2088
 
3.2%
2072
 
3.2%
) 2048
 
3.1%
( 2046
 
3.1%
스 1722
 
2.6%
리 1028
 
1.6%
주 964
 
1.5%
사 819
 
1.3%
아 803
 
1.2%
e 737
 
1.1%
Other values (1111) 51119
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45945
70.2%
Lowercase Letter 6638
 
10.1%
Uppercase Letter 5630
 
8.6%
Space Separator 2072
 
3.2%
Close Punctuation 2049
 
3.1%
Open Punctuation 2047
 
3.1%
Decimal Number 500
 
0.8%
Other Punctuation 367
 
0.6%
Other Symbol 86
 
0.1%
Dash Punctuation 79
 
0.1%
Other values (4) 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2088
 
4.5%
스 1722
 
3.7%
리 1028
 
2.2%
주 964
 
2.1%
사 819
 
1.8%
아 803
 
1.7%
라 614
 
1.3%
에 606
 
1.3%
트 586
 
1.3%
드 577
 
1.3%
Other values (1023) 36138
78.7%
Lowercase Letter
ValueCountFrequency (%)
e 737
 
11.1%
o 683
 
10.3%
a 611
 
9.2%
n 505
 
7.6%
i 487
 
7.3%
l 406
 
6.1%
t 368
 
5.5%
r 364
 
5.5%
s 331
 
5.0%
m 270
 
4.1%
Other values (16) 1876
28.3%
Uppercase Letter
ValueCountFrequency (%)
O 498
 
8.8%
A 444
 
7.9%
S 413
 
7.3%
E 377
 
6.7%
M 332
 
5.9%
L 314
 
5.6%
T 310
 
5.5%
N 304
 
5.4%
C 273
 
4.8%
I 273
 
4.8%
Other values (16) 2092
37.2%
Other Punctuation
ValueCountFrequency (%)
. 174
47.4%
& 94
25.6%
, 40
 
10.9%
' 27
 
7.4%
# 10
 
2.7%
/ 8
 
2.2%
: 7
 
1.9%
· 4
 
1.1%
% 2
 
0.5%
; 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 96
19.2%
2 76
15.2%
0 62
12.4%
4 56
11.2%
9 47
9.4%
5 46
9.2%
3 45
9.0%
7 30
 
6.0%
6 29
 
5.8%
8 13
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 4
57.1%
< 1
 
14.3%
> 1
 
14.3%
= 1
 
14.3%
Modifier Symbol
ValueCountFrequency (%)
` 2
40.0%
^ 2
40.0%
˚ 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2048
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2046
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2072
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46004
70.3%
Latin 12268
 
18.7%
Common 7147
 
10.9%
Han 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2088
 
4.5%
스 1722
 
3.7%
리 1028
 
2.2%
주 964
 
2.1%
사 819
 
1.8%
아 803
 
1.7%
라 614
 
1.3%
에 606
 
1.3%
트 586
 
1.3%
드 577
 
1.3%
Other values (1001) 36197
78.7%
Latin
ValueCountFrequency (%)
e 737
 
6.0%
o 683
 
5.6%
a 611
 
5.0%
n 505
 
4.1%
O 498
 
4.1%
i 487
 
4.0%
A 444
 
3.6%
S 413
 
3.4%
l 406
 
3.3%
E 377
 
3.1%
Other values (42) 7107
57.9%
Common
ValueCountFrequency (%)
2072
29.0%
) 2048
28.7%
( 2046
28.6%
. 174
 
2.4%
1 96
 
1.3%
& 94
 
1.3%
- 79
 
1.1%
2 76
 
1.1%
0 62
 
0.9%
4 56
 
0.8%
Other values (25) 344
 
4.8%
Han
ValueCountFrequency (%)
愛 3
 
11.1%
美 2
 
7.4%
家 2
 
7.4%
海 1
 
3.7%
堂 1
 
3.7%
通 1
 
3.7%
考 1
 
3.7%
創 1
 
3.7%
親 1
 
3.7%
商 1
 
3.7%
Other values (13) 13
48.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45918
70.2%
ASCII 19409
29.7%
None 90
 
0.1%
CJK 27
 
< 0.1%
Punctuation 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2088
 
4.5%
스 1722
 
3.8%
리 1028
 
2.2%
주 964
 
2.1%
사 819
 
1.8%
아 803
 
1.7%
라 614
 
1.3%
에 606
 
1.3%
트 586
 
1.3%
드 577
 
1.3%
Other values (1000) 36111
78.6%
ASCII
ValueCountFrequency (%)
2072
 
10.7%
) 2048
 
10.6%
( 2046
 
10.5%
e 737
 
3.8%
o 683
 
3.5%
a 611
 
3.1%
n 505
 
2.6%
O 498
 
2.6%
i 487
 
2.5%
A 444
 
2.3%
Other values (74) 9278
47.8%
None
ValueCountFrequency (%)
㈜ 86
95.6%
· 4
 
4.4%
CJK
ValueCountFrequency (%)
愛 3
 
11.1%
美 2
 
7.4%
家 2
 
7.4%
海 1
 
3.7%
堂 1
 
3.7%
通 1
 
3.7%
考 1
 
3.7%
創 1
 
3.7%
親 1
 
3.7%
商 1
 
3.7%
Other values (13) 13
48.1%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167292 × 1013
Minimum2.007071 × 1013
Maximum2.0210131 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:39.887900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007071 × 1013
5-th percentile2.0100514 × 1013
Q12.0141203 × 1013
median2.018042 × 1013
Q32.0200115 × 1013
95-th percentile2.0201125 × 1013
Maximum2.0210131 × 1013
Range1.3942099 × 1011
Interquartile range (IQR)5.8911979 × 1010

Descriptive statistics

Standard deviation3.4346663 × 1010
Coefficient of variation (CV)0.0017030876
Kurtosis-0.35448558
Mean2.0167292 × 1013
Median Absolute Deviation (MAD)2.0091037 × 1010
Skewness-0.86708113
Sum2.0167292 × 1017
Variance1.1796933 × 1021
MonotonicityNot monotonic
2024-04-22T09:39:40.027278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201008112053 2
 
< 0.1%
20140821144531 1
 
< 0.1%
20190729101350 1
 
< 0.1%
20141125112504 1
 
< 0.1%
20181231175130 1
 
< 0.1%
20200511185829 1
 
< 0.1%
20111101105737 1
 
< 0.1%
20161109155343 1
 
< 0.1%
20190423094338 1
 
< 0.1%
20190930174028 1
 
< 0.1%
Other values (9989) 9989
99.9%
ValueCountFrequency (%)
20070710110323 1
< 0.1%
20070710114625 1
< 0.1%
20070813135624 1
< 0.1%
20070829162658 1
< 0.1%
20071010173022 1
< 0.1%
20071116171357 1
< 0.1%
20071203190833 1
< 0.1%
20071207181818 1
< 0.1%
20071210142552 1
< 0.1%
20071212112525 1
< 0.1%
ValueCountFrequency (%)
20210131102930 1
< 0.1%
20210129194847 1
< 0.1%
20210129183619 1
< 0.1%
20210129183407 1
< 0.1%
20210129172050 1
< 0.1%
20210129155657 1
< 0.1%
20210129155454 1
< 0.1%
20210129115233 1
< 0.1%
20210129113344 1
< 0.1%
20210129113049 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8224 
U
1776 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8224
82.2%
U 1776
 
17.8%

Length

2024-04-22T09:39:40.172569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:39:40.266863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8224
82.2%
u 1776
 
17.8%

데이터갱신일자
Date

Distinct1031
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-02 00:23:14
2024-04-22T09:39:40.370308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:39:40.815985image/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
4538 
기타
2120 
종합몰
1394 
건강/식품
830 
레져/여행/공연
 
342
Other values (7)
776 

Length

Max length11
Median length9
Mean length7.1332
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의류/패션/잡화/뷰티 4538
45.4%
기타 2120
21.2%
종합몰 1394
 
13.9%
건강/식품 830
 
8.3%
레져/여행/공연 342
 
3.4%
교육/도서/완구/오락 251
 
2.5%
컴퓨터/사무용품 176
 
1.8%
가전 130
 
1.3%
가구/수납용품 101
 
1.0%
자동차/자동차용품 96
 
1.0%
Other values (2) 22
 
0.2%

Length

2024-04-22T09:39:40.951669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의류/패션/잡화/뷰티 4538
45.4%
기타 2120
21.2%
종합몰 1394
 
13.9%
건강/식품 830
 
8.3%
레져/여행/공연 342
 
3.4%
교육/도서/완구/오락 251
 
2.5%
컴퓨터/사무용품 176
 
1.8%
가전 130
 
1.3%
가구/수납용품 101
 
1.0%
자동차/자동차용품 96
 
1.0%
Other values (2) 22
 
0.2%

좌표정보(x)
Real number (ℝ)

MISSING  SKEWED 

Distinct6078
Distinct (%)62.4%
Missing252
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean387599.29
Minimum185009.56
Maximum398251.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:41.077746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185009.56
5-th percentile384148.2
Q1385751.92
median387747.8
Q3389082.47
95-th percentile391801.56
Maximum398251.78
Range213242.23
Interquartile range (IQR)3330.5514

Descriptive statistics

Standard deviation4827.9417
Coefficient of variation (CV)0.012456013
Kurtosis1165.2056
Mean387599.29
Median Absolute Deviation (MAD)1674.8879
Skewness-29.813648
Sum3.7783179 × 109
Variance23309021
MonotonicityNot monotonic
2024-04-22T09:39:41.213299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392474.578116018 55
 
0.5%
388140.891260505 53
 
0.5%
387618.822819234 48
 
0.5%
387816.362564942 39
 
0.4%
391411.212179843 38
 
0.4%
387768.514676203 38
 
0.4%
387748.383011444 29
 
0.3%
387564.611330896 28
 
0.3%
387144.17668815 28
 
0.3%
389816.233000769 27
 
0.3%
Other values (6068) 9365
93.7%
(Missing) 252
 
2.5%
ValueCountFrequency (%)
185009.555650292 1
< 0.1%
188149.329645925 1
< 0.1%
205853.018837604 1
< 0.1%
207477.065034569 1
< 0.1%
220969.228808431 1
< 0.1%
364527.971147347 1
< 0.1%
376253.214263864 1
< 0.1%
379594.935538839 1
< 0.1%
379800.608360695 1
< 0.1%
380456.914224216 1
< 0.1%
ValueCountFrequency (%)
398251.781075537 1
 
< 0.1%
393449.693784 12
0.1%
393163.706837417 24
0.2%
393010.235405366 1
 
< 0.1%
393000.17804457 1
 
< 0.1%
392970.505620613 2
 
< 0.1%
392943.519664196 1
 
< 0.1%
392903.43516704 1
 
< 0.1%
392887.986171413 1
 
< 0.1%
392880.268663129 3
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING  SKEWED 

Distinct6086
Distinct (%)62.4%
Missing252
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean185243.95
Minimum174211.5
Maximum452758.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:39:41.340273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174211.5
5-th percentile178874.81
Q1182042.63
median185257.24
Q3187592.02
95-th percentile191826.31
Maximum452758.98
Range278547.48
Interquartile range (IQR)5549.3835

Descriptive statistics

Standard deviation7088.5209
Coefficient of variation (CV)0.038265869
Kurtosis888.14696
Mean185243.95
Median Absolute Deviation (MAD)2713.3594
Skewness24.46938
Sum1.805758 × 109
Variance50247129
MonotonicityNot monotonic
2024-04-22T09:39:41.483509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184063.252176119 53
 
0.5%
183052.21115244 50
 
0.5%
186273.478853367 48
 
0.5%
186316.00373302 39
 
0.4%
184052.409245407 38
 
0.4%
184371.452375082 38
 
0.4%
185533.437357236 29
 
0.3%
183837.166587761 28
 
0.3%
190534.020672018 28
 
0.3%
193329.605871168 27
 
0.3%
Other values (6076) 9370
93.7%
(Missing) 252
 
2.5%
ValueCountFrequency (%)
174211.496764498 1
 
< 0.1%
174683.069423816 8
0.1%
174764.125702762 2
 
< 0.1%
175140.099221406 6
0.1%
175520.650585192 1
 
< 0.1%
175580.741380931 8
0.1%
175654.888084517 1
 
< 0.1%
175661.703098048 1
 
< 0.1%
175767.563913389 5
0.1%
175947.973074 1
 
< 0.1%
ValueCountFrequency (%)
452758.975955885 1
< 0.1%
448873.564101889 1
< 0.1%
448604.893483191 1
< 0.1%
435486.907410902 1
< 0.1%
423582.017857749 1
< 0.1%
194175.406418151 1
< 0.1%
193727.022509371 1
< 0.1%
193588.430976892 1
< 0.1%
193564.281955206 1
< 0.1%
193551.167896938 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

HIGH CARDINALITY  IMBALANCE 

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9398 
기타
 
118
기타, 인터넷
 
116
<NA>
 
98
인터넷, 기타
 
50
Other values (46)
 
220

Length

Max length26
Median length3
Mean length3.2799
Min length2

Unique

Unique19 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 9398
94.0%
기타 118
 
1.2%
기타, 인터넷 116
 
1.2%
<NA> 98
 
1.0%
인터넷, 기타 50
 
0.5%
TV홈쇼핑, 인터넷 24
 
0.2%
카다로그, 인터넷 22
 
0.2%
TV홈쇼핑 19
 
0.2%
인터넷, 카다로그 14
 
0.1%
신문잡지, 인터넷 13
 
0.1%
Other values (41) 128
 
1.3%

Length

2024-04-22T09:39:41.636127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9743
92.6%
기타 356
 
3.4%
카다로그 135
 
1.3%
tv홈쇼핑 104
 
1.0%
na 98
 
0.9%
신문잡지 89
 
0.8%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
2273822739통신판매업08_26_04_P3310000201433100883020021920140821<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 전포대로 26, B동 2403호 (문현동, 문현삼성힐타워)608781에프에프(FF)20140821144531I2018-08-31 23:59:59.0의류/패션/잡화/뷰티388476.525046184507.911885<NA><NA><NA>인터넷<NA>
26202621통신판매업08_26_04_P3250000201932501333020003820190429<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-246-1735<NA><NA>부산광역시 중구 대창동1가 25번지 1호부산광역시 중구 중앙대로 115 (대창동1가)48924(주)덕수산맥20201117103108U2020-11-19 02:40:00.0종합몰385577.631065180663.531661<NA><NA><NA>인터넷<NA>
2427424275통신판매업08_26_04_P3310000201433100883020004520140218<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 수영로346번길 18, 3층 (대연동)608804베리굿즈20140218103643I2018-08-31 23:59:59.0기타391668.59917184134.172827<NA><NA><NA>인터넷<NA>
1427014271통신판매업08_26_04_P3290000201432901073020033920140630<NA>3폐업3폐업처리20140723<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 동천로 10-1, 1620호 (전포동, 서면노르웨이 아침)614040찌니시대20140723174349I2018-08-31 23:59:59.0의류/패션/잡화/뷰티387967.36974185370.694592<NA><NA><NA>인터넷<NA>
2214822149통신판매업08_26_04_P3300000201733000993020010720171219<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 낙민동 185번지 1호 한신아파트부산광역시 동래구 낙민로 17, 6동 505호 (낙민동, 한신아파트)47880하이트레이드20190528105304U2019-05-30 02:40:00.0의류/패션/잡화/뷰티390334.70676190801.730215<NA><NA><NA>인터넷<NA>
1698716988통신판매업08_26_04_P3290000200832900853020037020080826<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>819-8022<NA>614836부산광역시 부산진구 부암동 80번지 21호부산광역시 부산진구 새싹로 89-12 (부암동)<NA>가나이동통신20110906132015I2018-08-31 23:59:59.0기타386938.184251187000.810563<NA><NA><NA>인터넷<NA>
1599215993통신판매업08_26_04_P3290000200932900853020028220090619<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>614801부산광역시 부산진구 가야동 648번지 13통 4반 한일하나로맨션 3동 203호<NA><NA>꾸앤담(gguNdam)20120828113235I2018-08-31 23:59:59.0의류/패션/잡화/뷰티384542.072841185281.488363<NA><NA><NA>인터넷<NA>
37493750통신판매업08_26_04_P3260000201232600703020007020120627<NA>3폐업3폐업처리20130204<NA><NA><NA>051-242-4732<NA><NA><NA>부산광역시 서구 구덕로280번길 8-1, 202호 (동대신동1가,아젤리아빌라)602808파워비즈니스학원20130204143216I2018-08-31 23:59:59.0교육/도서/완구/오락384013.391943180759.411573<NA><NA><NA>기타<NA>
69166917통신판매업08_26_04_P3270000201132700863020019120111205<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-465-1113<NA>601827부산광역시 동구 초량3동 48번지 1호 한국화장품 201호부산광역시 동구 고관로 7 (초량동, 한국화장품 201호)601012투어몬20150703114328I2018-08-31 23:59:59.0레져/여행/공연386029.130798182042.63406<NA><NA><NA>인터넷<NA>
1260012601통신판매업08_26_04_P3290000202032901443020172520201125<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 217 시청센트빌부산광역시 부산진구 중앙대로 981, 시청센트빌 413호 (양정동)47209프리챌린저20201125150945I2020-11-27 00:23:08.0종합몰388873.520125188434.58544<NA><NA><NA>인터넷<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
72717272통신판매업08_26_04_P3280000201432800923020003620140625<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>606044부산광역시 영도구 영선동4가 180번지 4호부산광역시 영도구 남항새싹길 186 (영선동4가)606044오피스원20140626160657I2018-08-31 23:59:59.0종합몰386200.933548177809.399171<NA><NA><NA>인터넷<NA>
1013710138통신판매업08_26_04_P3290000201632901283020072920161010<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 중앙대로 지하 737 (부전동, 서면지하상가)47254오유(OU)20190620111400U2019-06-22 02:40:00.0의류/패션/잡화/뷰티387573.845976186341.582104<NA><NA><NA>인터넷<NA>
1663216633통신판매업08_26_04_P3290000201532901073020071420151119<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 서전로10번길 61, B1층 31호 (부전동, 쥬디스태화신관)47295파우더(powder)20190708112514U2019-07-10 02:40:00.0의류/패션/잡화/뷰티387650.685341185939.25556<NA><NA><NA>인터넷<NA>
1722817229통신판매업08_26_04_P3290000200732900853020022120070528<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>614832부산광역시 부산진구 범천동 1057번지 2호 대우디오빌 1313호부산광역시 부산진구 가야대로 714, 1313호 (범천동,대우디오빌)<NA>홈스푼20131016132137I2018-08-31 23:59:59.0기타386701.980952186092.042361<NA><NA><NA>인터넷<NA>
1485814859통신판매업08_26_04_P3290000200832900853020045620081024201007304취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>808-4919<NA>614849부산광역시 부산진구 부전동 414번지 7호 15통 4반 2층부산광역시 부산진구 부전로111번길 18 (부전동,2층)<NA>LABEL M(라벨엠)20100811143628I2018-08-31 23:59:59.0의류/패션/잡화/뷰티387059.601051186467.37465<NA><NA><NA>인터넷<NA>
82888289통신판매업08_26_04_P3280000201332800923020007220131206<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-404-4204<NA><NA><NA>부산광역시 영도구 와치로 287, 301동 703호 (동삼동,동삼절영3차아파트)606809그릇쟁이20200120172953I2020-01-22 00:23:24.0종합몰388924.281714176972.298292<NA><NA><NA>인터넷<NA>
2501725018통신판매업08_26_04_P3310000202033101003020007920200203<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 용당동 206번지 47호부산광역시 남구 신선로 227-1, 5층 (용당동)48553한일식품20200204101327I2020-02-05 00:23:24.0건강/식품390441.565661181190.523778<NA><NA><NA>인터넷<NA>
2309423095통신판매업08_26_04_P3310000200833100713020009920080418<NA>1영업/정상1정상영업<NA><NA><NA><NA>417-0648<NA>608020부산광역시 남구 대연동 1216번지 60호부산광역시 남구 천제등로 18-2 (대연동)<NA>혜광기획20131230172217I2018-08-31 23:59:59.0의류/패션/잡화/뷰티390162.969182183543.792779<NA><NA><NA>인터넷<NA>
2324723248통신판매업08_26_04_P3310000201733100883020017620170412<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 황령대로 504, 201동 1403호 (대연동, 대연비치아파트)48514라즈베베20170413095540I2018-08-31 23:59:59.0의류/패션/잡화/뷰티392089.826622183968.991588<NA><NA><NA>인터넷<NA>
1136811369통신판매업08_26_04_P3290000201832901283020080320180921<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 514번지 8호 서면블리체부산광역시 부산진구 가야대로750번길 71, 4층 411호 (부전동, 서면블리체)47284셔츠입은남자20180927153843U2018-09-27 23:59:59.0의류/패션/잡화/뷰티387182.079747185853.702749<NA><NA><NA>인터넷<NA>