Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells116331
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

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123128

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
판매방식명 is highly imbalanced (90.2%)Imbalance
인허가취소일자 has 9885 (98.9%) missing valuesMissing
폐업일자 has 7928 (79.3%) missing valuesMissing
휴업시작일자 has 9969 (99.7%) missing valuesMissing
휴업종료일자 has 9971 (99.7%) missing valuesMissing
재개업일자 has 9985 (99.9%) missing valuesMissing
소재지전화 has 5439 (54.4%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7540 (75.4%) missing valuesMissing
소재지전체주소 has 2854 (28.5%) missing valuesMissing
도로명전체주소 has 307 (3.1%) missing valuesMissing
도로명우편번호 has 1939 (19.4%) missing valuesMissing
좌표정보(x) has 257 (2.6%) missing valuesMissing
좌표정보(y) has 257 (2.6%) 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 = -22.79052227)Skewed
좌표정보(x) is highly skewed (γ1 = -28.88174517)Skewed
좌표정보(y) is highly skewed (γ1 = 23.6965157)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 00:47:29.705265
Analysis finished2024-04-22 00:47:31.693748
Duration1.99 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%
Mean13344.396
Minimum4
Maximum26551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:31.761162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile1340.95
Q16760.75
median13440
Q320012.25
95-th percentile25216.3
Maximum26551
Range26547
Interquartile range (IQR)13251.5

Descriptive statistics

Standard deviation7662.6277
Coefficient of variation (CV)0.57422064
Kurtosis-1.1986754
Mean13344.396
Median Absolute Deviation (MAD)6628.5
Skewness-0.015190352
Sum1.3344396 × 108
Variance58715864
MonotonicityNot monotonic
2024-04-22T09:47:31.917561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1107 1
 
< 0.1%
12535 1
 
< 0.1%
12474 1
 
< 0.1%
10993 1
 
< 0.1%
23436 1
 
< 0.1%
21510 1
 
< 0.1%
7826 1
 
< 0.1%
19824 1
 
< 0.1%
24208 1
 
< 0.1%
14969 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
19 1
< 0.1%
ValueCountFrequency (%)
26551 1
< 0.1%
26549 1
< 0.1%
26544 1
< 0.1%
26542 1
< 0.1%
26541 1
< 0.1%
26534 1
< 0.1%
26533 1
< 0.1%
26520 1
< 0.1%
26515 1
< 0.1%
26514 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

2024-04-22T09:47:32.058341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:47:32.165157image/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

2024-04-22T09:47:32.271922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:47:32.362131image/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%
Mean3286213
Minimum3250000
Maximum3310000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:32.448671image/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 deviation17997.25
Coefficient of variation (CV)0.0054765928
Kurtosis-0.49143676
Mean3286213
Median Absolute Deviation (MAD)10000
Skewness-0.69910981
Sum3.286213 × 1010
Variance3.2390102 × 108
MonotonicityNot monotonic
2024-04-22T09:47:32.557254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3290000 3553
35.5%
3300000 1960
19.6%
3310000 1350
 
13.5%
3250000 1028
 
10.3%
3270000 1000
 
10.0%
3260000 613
 
6.1%
3280000 496
 
5.0%
ValueCountFrequency (%)
3250000 1028
 
10.3%
3260000 613
 
6.1%
3270000 1000
 
10.0%
3280000 496
 
5.0%
3290000 3553
35.5%
3300000 1960
19.6%
3310000 1350
 
13.5%
ValueCountFrequency (%)
3310000 1350
 
13.5%
3300000 1960
19.6%
3290000 3553
35.5%
3280000 496
 
5.0%
3270000 1000
 
10.0%
3260000 613
 
6.1%
3250000 1028
 
10.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0155465 × 1018
Minimum2.000327 × 1018
Maximum2.021331 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:32.696724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.000327 × 1018
5-th percentile2.00733 × 1018
Q12.012327 × 1018
median2.01633 × 1018
Q32.019329 × 1018
95-th percentile2.020331 × 1018
Maximum2.021331 × 1018
Range2.1004005 × 1016
Interquartile range (IQR)7.0020042 × 1015

Descriptive statistics

Standard deviation4.3382079 × 1015
Coefficient of variation (CV)0.002152373
Kurtosis-0.68304417
Mean2.0155465 × 1018
Median Absolute Deviation (MAD)3.0010021 × 1015
Skewness-0.61449747
Sum-6.8259593 × 1018
Variance1.8820048 × 1031
MonotonicityNot monotonic
2024-04-22T09:47:32.843366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2021325014530200089 1
 
< 0.1%
2018329012830200946 1
 
< 0.1%
2018329012830201023 1
 
< 0.1%
2018329012830200513 1
 
< 0.1%
2007331007130200162 1
 
< 0.1%
2011330007930200071 1
 
< 0.1%
2015328009230200045 1
 
< 0.1%
2014330007930200313 1
 
< 0.1%
2018331008830200105 1
 
< 0.1%
2009329008530200185 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2000327007130200358 1
< 0.1%
2000330006430200388 1
< 0.1%
2001325005930200738 1
< 0.1%
2001325005930200823 1
< 0.1%
2001330006430200680 1
< 0.1%
2002326006630200040 1
< 0.1%
2002327007730200000 1
< 0.1%
2002329008530200024 1
< 0.1%
2002329008530200037 1
< 0.1%
2002329008530200041 1
< 0.1%
ValueCountFrequency (%)
2021331011930200194 1
< 0.1%
2021331011930200190 1
< 0.1%
2021331011930200188 1
< 0.1%
2021331011930200187 1
< 0.1%
2021331011930200186 1
< 0.1%
2021331011930200174 1
< 0.1%
2021331011930200172 1
< 0.1%
2021331011930200171 1
< 0.1%
2021331011930200170 1
< 0.1%
2021331011930200164 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3356
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151066
Minimum20000719
Maximum20210226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:32.979619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000719
5-th percentile20070907
Q120111228
median20160724
Q320190423
95-th percentile20201105
Maximum20210226
Range209507
Interquartile range (IQR)79195.25

Descriptive statistics

Standard deviation43700.153
Coefficient of variation (CV)0.0021686274
Kurtosis-0.72240337
Mean20151066
Median Absolute Deviation (MAD)30402.5
Skewness-0.57851974
Sum2.0151066 × 1011
Variance1.9097033 × 109
MonotonicityNot monotonic
2024-04-22T09:47:33.124250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200414 17
 
0.2%
20191203 16
 
0.2%
20200212 14
 
0.1%
20200902 14
 
0.1%
20210106 14
 
0.1%
20190402 14
 
0.1%
20210209 14
 
0.1%
20200427 13
 
0.1%
20190610 13
 
0.1%
20210105 13
 
0.1%
Other values (3346) 9858
98.6%
ValueCountFrequency (%)
20000719 1
< 0.1%
20000821 1
< 0.1%
20010916 1
< 0.1%
20011023 1
< 0.1%
20011205 1
< 0.1%
20020110 1
< 0.1%
20020128 1
< 0.1%
20020316 1
< 0.1%
20020614 1
< 0.1%
20020905 1
< 0.1%
ValueCountFrequency (%)
20210226 5
0.1%
20210225 9
0.1%
20210224 8
0.1%
20210223 7
0.1%
20210222 6
0.1%
20210219 9
0.1%
20210218 7
0.1%
20210217 8
0.1%
20210216 12
0.1%
20210215 11
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)19.1%
Missing9885
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean20100962
Minimum20080818
Maximum20210215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:33.248428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080818
5-th percentile20080908
Q120100713
median20100730
Q320101206
95-th percentile20130550
Maximum20210215
Range129397
Interquartile range (IQR)493

Descriptive statistics

Standard deviation16109.363
Coefficient of variation (CV)0.00080142251
Kurtosis19.126901
Mean20100962
Median Absolute Deviation (MAD)404
Skewness3.3143209
Sum2.3116106 × 109
Variance2.5951159 × 108
MonotonicityNot monotonic
2024-04-22T09:47:33.372809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20100713 27
 
0.3%
20100730 25
 
0.2%
20080908 15
 
0.1%
20101231 14
 
0.1%
20101206 8
 
0.1%
20091006 4
 
< 0.1%
20121130 3
 
< 0.1%
20101101 2
 
< 0.1%
20100326 2
 
< 0.1%
20100413 2
 
< 0.1%
Other values (12) 13
 
0.1%
(Missing) 9885
98.9%
ValueCountFrequency (%)
20080818 1
 
< 0.1%
20080908 15
0.1%
20081001 1
 
< 0.1%
20090921 1
 
< 0.1%
20091006 4
 
< 0.1%
20091120 1
 
< 0.1%
20100326 2
 
< 0.1%
20100413 2
 
< 0.1%
20100713 27
0.3%
20100730 25
0.2%
ValueCountFrequency (%)
20210215 1
 
< 0.1%
20151120 2
 
< 0.1%
20131230 1
 
< 0.1%
20130621 1
 
< 0.1%
20130617 1
 
< 0.1%
20130522 1
 
< 0.1%
20121220 1
 
< 0.1%
20121130 3
 
< 0.1%
20101231 14
0.1%
20101206 8
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5444 
4
2465 
3
2072 
2
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5444
54.4%
4 2465
24.6%
3 2072
 
20.7%
2 19
 
0.2%

Length

2024-04-22T09:47:33.496168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:47:33.600778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5444
54.4%
4 2465
24.6%
3 2072
 
20.7%
2 19
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5444 
취소/말소/만료/정지/중지
2465 
폐업
2072 
휴업
 
19

Length

Max length14
Median length5
Mean length6.5912
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5444
54.4%
취소/말소/만료/정지/중지 2465
24.6%
폐업 2072
 
20.7%
휴업 19
 
0.2%

Length

2024-04-22T09:47:33.727093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:47:33.834070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5444
54.4%
취소/말소/만료/정지/중지 2465
24.6%
폐업 2072
 
20.7%
휴업 19
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8607
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:33.926512image/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 deviation2.4350952
Coefficient of variation (CV)0.85122354
Kurtosis-0.85258238
Mean2.8607
Median Absolute Deviation (MAD)0
Skewness0.91207135
Sum28607
Variance5.9296885
MonotonicityNot monotonic
2024-04-22T09:47:34.024874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5443
54.4%
7 2348
23.5%
3 2072
 
20.7%
4 117
 
1.2%
2 19
 
0.2%
6 1
 
< 0.1%
ValueCountFrequency (%)
1 5443
54.4%
2 19
 
0.2%
3 2072
 
20.7%
4 117
 
1.2%
6 1
 
< 0.1%
7 2348
23.5%
ValueCountFrequency (%)
7 2348
23.5%
6 1
 
< 0.1%
4 117
 
1.2%
3 2072
 
20.7%
2 19
 
0.2%
1 5443
54.4%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
5443 
직권말소
2348 
폐업처리
2072 
직권취소
 
117
휴업처리
 
19

Length

Max length6
Median length4
Mean length4.0002
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 5443
54.4%
직권말소 2348
23.5%
폐업처리 2072
 
20.7%
직권취소 117
 
1.2%
휴업처리 19
 
0.2%
타시군구전입 1
 
< 0.1%

Length

2024-04-22T09:47:34.158402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:47:34.280302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 5443
54.4%
직권말소 2348
23.5%
폐업처리 2072
 
20.7%
직권취소 117
 
1.2%
휴업처리 19
 
0.2%
타시군구전입 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1447
Distinct (%)69.8%
Missing7928
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean20147134
Minimum20070522
Maximum20210226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:34.405680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070522
5-th percentile20081103
Q120110530
median20150320
Q320181231
95-th percentile20201212
Maximum20210226
Range139704
Interquartile range (IQR)70701

Descriptive statistics

Standard deviation41079.875
Coefficient of variation (CV)0.0020389935
Kurtosis-1.3095687
Mean20147134
Median Absolute Deviation (MAD)39714
Skewness-0.11501183
Sum4.1744862 × 1010
Variance1.6875562 × 109
MonotonicityNot monotonic
2024-04-22T09:47:34.546095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190628 17
 
0.2%
20151230 8
 
0.1%
20201231 7
 
0.1%
20151231 7
 
0.1%
20100924 7
 
0.1%
20130926 6
 
0.1%
20200218 6
 
0.1%
20201210 5
 
0.1%
20210120 5
 
0.1%
20210119 5
 
0.1%
Other values (1437) 1999
 
20.0%
(Missing) 7928
79.3%
ValueCountFrequency (%)
20070522 1
< 0.1%
20070525 1
< 0.1%
20070529 1
< 0.1%
20070607 1
< 0.1%
20070618 1
< 0.1%
20070625 1
< 0.1%
20070706 1
< 0.1%
20070807 1
< 0.1%
20070813 1
< 0.1%
20070822 1
< 0.1%
ValueCountFrequency (%)
20210226 1
< 0.1%
20210223 2
< 0.1%
20210219 2
< 0.1%
20210218 1
< 0.1%
20210217 1
< 0.1%
20210215 2
< 0.1%
20210211 1
< 0.1%
20210210 1
< 0.1%
20210209 1
< 0.1%
20210208 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing9969
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20142879
Minimum20090406
Maximum20210104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:34.683704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090406
5-th percentile20090723
Q120110162
median20130713
Q320175903
95-th percentile20200954
Maximum20210104
Range119698
Interquartile range (IQR)65740.5

Descriptive statistics

Standard deviation40226.445
Coefficient of variation (CV)0.0019970554
Kurtosis-1.4449414
Mean20142879
Median Absolute Deviation (MAD)30412
Skewness0.22487126
Sum6.2442926 × 108
Variance1.6181669 × 109
MonotonicityNot monotonic
2024-04-22T09:47:34.804605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20090729 1
 
< 0.1%
20091110 1
 
< 0.1%
20160225 1
 
< 0.1%
20110224 1
 
< 0.1%
20181207 1
 
< 0.1%
20130219 1
 
< 0.1%
20090717 1
 
< 0.1%
20110101 1
 
< 0.1%
20100809 1
 
< 0.1%
20170619 1
 
< 0.1%
Other values (21) 21
 
0.2%
(Missing) 9969
99.7%
ValueCountFrequency (%)
20090406 1
< 0.1%
20090717 1
< 0.1%
20090729 1
< 0.1%
20091110 1
< 0.1%
20100301 1
< 0.1%
20100809 1
< 0.1%
20101122 1
< 0.1%
20110101 1
< 0.1%
20110224 1
< 0.1%
20110310 1
< 0.1%
ValueCountFrequency (%)
20210104 1
< 0.1%
20201204 1
< 0.1%
20200705 1
< 0.1%
20200703 1
< 0.1%
20200412 1
< 0.1%
20190103 1
< 0.1%
20181207 1
< 0.1%
20180901 1
< 0.1%
20170905 1
< 0.1%
20170619 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)93.1%
Missing9971
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20151125
Minimum20091230
Maximum20211130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:34.932370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091230
5-th percentile20094828
Q120111101
median20140712
Q320190331
95-th percentile20210553
Maximum20211130
Range119900
Interquartile range (IQR)79230

Descriptive statistics

Standard deviation43262.817
Coefficient of variation (CV)0.0021469182
Kurtosis-1.7119934
Mean20151125
Median Absolute Deviation (MAD)39593
Skewness0.075492048
Sum5.8438262 × 108
Variance1.8716713 × 109
MonotonicityNot monotonic
2024-04-22T09:47:35.062707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20210331 2
 
< 0.1%
20111231 2
 
< 0.1%
20191231 1
 
< 0.1%
20100224 1
 
< 0.1%
20180224 1
 
< 0.1%
20110630 1
 
< 0.1%
20200701 1
 
< 0.1%
20091231 1
 
< 0.1%
20111101 1
 
< 0.1%
20180618 1
 
< 0.1%
Other values (17) 17
 
0.2%
(Missing) 9971
99.7%
ValueCountFrequency (%)
20091230 1
< 0.1%
20091231 1
< 0.1%
20100224 1
< 0.1%
20100826 1
< 0.1%
20110228 1
< 0.1%
20110531 1
< 0.1%
20110630 1
< 0.1%
20111101 1
< 0.1%
20111106 1
< 0.1%
20111231 2
< 0.1%
ValueCountFrequency (%)
20211130 1
< 0.1%
20210701 1
< 0.1%
20210331 2
< 0.1%
20201231 1
< 0.1%
20200701 1
< 0.1%
20191231 1
< 0.1%
20190331 1
< 0.1%
20181231 1
< 0.1%
20180618 1
< 0.1%
20180305 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing9985
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20155182
Minimum20070920
Maximum20200922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:35.190717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070920
5-th percentile20077641
Q120105514
median20180430
Q320190360
95-th percentile20193706
Maximum20200922
Range130002
Interquartile range (IQR)84845.5

Descriptive statistics

Standard deviation48389.982
Coefficient of variation (CV)0.0024008705
Kurtosis-1.2498183
Mean20155182
Median Absolute Deviation (MAD)10109
Skewness-0.82754135
Sum3.0232773 × 108
Variance2.3415903 × 109
MonotonicityNot monotonic
2024-04-22T09:47:35.307570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20180430 1
 
< 0.1%
20170321 1
 
< 0.1%
20190305 1
 
< 0.1%
20190201 1
 
< 0.1%
20070920 1
 
< 0.1%
20180226 1
 
< 0.1%
20190613 1
 
< 0.1%
20200922 1
 
< 0.1%
20190404 1
 
< 0.1%
20110608 1
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 9985
99.9%
ValueCountFrequency (%)
20070920 1
< 0.1%
20080522 1
< 0.1%
20091112 1
< 0.1%
20100420 1
< 0.1%
20110608 1
< 0.1%
20170321 1
< 0.1%
20180226 1
< 0.1%
20180430 1
< 0.1%
20190201 1
< 0.1%
20190305 1
< 0.1%
ValueCountFrequency (%)
20200922 1
< 0.1%
20190613 1
< 0.1%
20190412 1
< 0.1%
20190404 1
< 0.1%
20190315 1
< 0.1%
20190305 1
< 0.1%
20190201 1
< 0.1%
20180430 1
< 0.1%
20180226 1
< 0.1%
20170321 1
< 0.1%

소재지전화
Text

MISSING 

Distinct4473
Distinct (%)98.1%
Missing5439
Missing (%)54.4%
Memory size156.2 KiB
2024-04-22T09:47:35.522790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.337645
Min length1

Characters and Unicode

Total characters51711
Distinct characters19
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

Unique4388 ?
Unique (%)96.2%

Sample

1st row0512616151
2nd row051-256-1648
3rd row051 462 0030
4th row552-6632
5th row051-923-9119
ValueCountFrequency (%)
051 273
 
5.4%
466 15
 
0.3%
245 14
 
0.3%
463 12
 
0.2%
070 11
 
0.2%
464 10
 
0.2%
441 10
 
0.2%
248 8
 
0.2%
465 7
 
0.1%
637 7
 
0.1%
Other values (4553) 4733
92.8%
2024-04-22T09:47:35.904948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8158
15.8%
- 7266
14.1%
5 6443
12.5%
1 5823
11.3%
7 3780
7.3%
8 3686
7.1%
2 3644
7.0%
4 3501
6.8%
6 3380
6.5%
3 2942
 
5.7%
Other values (9) 3088
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43821
84.7%
Dash Punctuation 7266
 
14.1%
Space Separator 546
 
1.1%
Close Punctuation 54
 
0.1%
Other Punctuation 12
 
< 0.1%
Math Symbol 11
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8158
18.6%
5 6443
14.7%
1 5823
13.3%
7 3780
8.6%
8 3686
8.4%
2 3644
8.3%
4 3501
8.0%
6 3380
7.7%
3 2942
 
6.7%
9 2464
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 5
41.7%
. 4
33.3%
* 2
 
16.7%
; 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 7266
100.0%
Space Separator
ValueCountFrequency (%)
546
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51711
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8158
15.8%
- 7266
14.1%
5 6443
12.5%
1 5823
11.3%
7 3780
7.3%
8 3686
7.1%
2 3644
7.0%
4 3501
6.8%
6 3380
6.5%
3 2942
 
5.7%
Other values (9) 3088
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51711
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8158
15.8%
- 7266
14.1%
5 6443
12.5%
1 5823
11.3%
7 3780
7.3%
8 3686
7.1%
2 3644
7.0%
4 3501
6.8%
6 3380
6.5%
3 2942
 
5.7%
Other values (9) 3088
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct490
Distinct (%)19.9%
Missing7540
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean607376.17
Minimum49094
Maximum617815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:36.044552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49094
5-th percentile600073.85
Q1602808
median607823
Q3614040
95-th percentile614855
Maximum617815
Range568721
Interquartile range (IQR)11232

Descriptive statistics

Standard deviation19448.883
Coefficient of variation (CV)0.032021149
Kurtosis587.42503
Mean607376.17
Median Absolute Deviation (MAD)6079
Skewness-22.790522
Sum1.4941454 × 109
Variance3.7825905 × 108
MonotonicityNot monotonic
2024-04-22T09:47:36.173220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614040 96
 
1.0%
607060 96
 
1.0%
614030 85
 
0.9%
614050 58
 
0.6%
607100 56
 
0.6%
614020 54
 
0.5%
608020 53
 
0.5%
607120 47
 
0.5%
614010 45
 
0.4%
614110 31
 
0.3%
Other values (480) 1839
 
18.4%
(Missing) 7540
75.4%
ValueCountFrequency (%)
49094 1
 
< 0.1%
110530 1
 
< 0.1%
143200 1
 
< 0.1%
420851 1
 
< 0.1%
425809 1
 
< 0.1%
464100 1
 
< 0.1%
600010 1
 
< 0.1%
600011 4
 
< 0.1%
600012 5
0.1%
600013 12
0.1%
ValueCountFrequency (%)
617815 1
 
< 0.1%
614882 3
 
< 0.1%
614878 1
 
< 0.1%
614876 5
0.1%
614875 3
 
< 0.1%
614874 4
 
< 0.1%
614873 5
0.1%
614872 5
0.1%
614871 6
0.1%
614870 12
0.1%

소재지전체주소
Text

MISSING 

Distinct5985
Distinct (%)83.8%
Missing2854
Missing (%)28.5%
Memory size156.2 KiB
2024-04-22T09:47:36.529391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length27.132102
Min length8

Characters and Unicode

Total characters193886
Distinct characters526
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

Unique5435 ?
Unique (%)76.1%

Sample

1st row부산광역시 중구 대청동4가 82-21 대청포세이돈아크로
2nd row부산광역시 남구 대연동 55번지 1호
3rd row부산광역시 부산진구 부전동 223번지 1호
4th row부산광역시 중구 영주동 609번지 18호 502호
5th row부산광역시 남구 용호동 283-2 용호동 바인하츠
ValueCountFrequency (%)
부산광역시 7065
 
17.5%
부산진구 2383
 
5.9%
동래구 1495
 
3.7%
남구 990
 
2.5%
1호 774
 
1.9%
동구 694
 
1.7%
중구 688
 
1.7%
전포동 509
 
1.3%
서구 436
 
1.1%
부전동 436
 
1.1%
Other values (5269) 24919
61.7%
2024-04-22T09:47:37.341830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33326
 
17.2%
동 10449
 
5.4%
부 10407
 
5.4%
산 9733
 
5.0%
1 8122
 
4.2%
시 7369
 
3.8%
광 7162
 
3.7%
구 7124
 
3.7%
역 7106
 
3.7%
호 6302
 
3.3%
Other values (516) 86786
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120252
62.0%
Decimal Number 37989
 
19.6%
Space Separator 33326
 
17.2%
Dash Punctuation 1257
 
0.6%
Uppercase Letter 730
 
0.4%
Lowercase Letter 131
 
0.1%
Other Punctuation 124
 
0.1%
Close Punctuation 30
 
< 0.1%
Open Punctuation 30
 
< 0.1%
Letter Number 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10449
 
8.7%
부 10407
 
8.7%
산 9733
 
8.1%
시 7369
 
6.1%
광 7162
 
6.0%
구 7124
 
5.9%
역 7106
 
5.9%
호 6302
 
5.2%
지 6170
 
5.1%
번 5757
 
4.8%
Other values (449) 42673
35.5%
Uppercase Letter
ValueCountFrequency (%)
S 116
15.9%
K 111
15.2%
B 84
11.5%
A 48
 
6.6%
H 47
 
6.4%
T 39
 
5.3%
U 35
 
4.8%
C 32
 
4.4%
I 31
 
4.2%
G 26
 
3.6%
Other values (13) 161
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 29
22.1%
l 22
16.8%
i 18
13.7%
o 14
10.7%
v 9
 
6.9%
s 6
 
4.6%
a 6
 
4.6%
n 5
 
3.8%
t 3
 
2.3%
c 3
 
2.3%
Other values (10) 16
12.2%
Decimal Number
ValueCountFrequency (%)
1 8122
21.4%
2 5419
14.3%
3 4302
11.3%
4 3580
9.4%
0 3453
9.1%
5 3311
8.7%
6 2854
 
7.5%
7 2540
 
6.7%
8 2441
 
6.4%
9 1967
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 82
66.1%
/ 21
 
16.9%
& 7
 
5.6%
· 6
 
4.8%
@ 4
 
3.2%
. 3
 
2.4%
# 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
∥ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
33326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120251
62.0%
Common 72764
37.5%
Latin 870
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10449
 
8.7%
부 10407
 
8.7%
산 9733
 
8.1%
시 7369
 
6.1%
광 7162
 
6.0%
구 7124
 
5.9%
역 7106
 
5.9%
호 6302
 
5.2%
지 6170
 
5.1%
번 5757
 
4.8%
Other values (448) 42672
35.5%
Latin
ValueCountFrequency (%)
S 116
 
13.3%
K 111
 
12.8%
B 84
 
9.7%
A 48
 
5.5%
H 47
 
5.4%
T 39
 
4.5%
U 35
 
4.0%
C 32
 
3.7%
I 31
 
3.6%
e 29
 
3.3%
Other values (34) 298
34.3%
Common
ValueCountFrequency (%)
33326
45.8%
1 8122
 
11.2%
2 5419
 
7.4%
3 4302
 
5.9%
4 3580
 
4.9%
0 3453
 
4.7%
5 3311
 
4.6%
6 2854
 
3.9%
7 2540
 
3.5%
8 2441
 
3.4%
Other values (13) 3416
 
4.7%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120251
62.0%
ASCII 73618
38.0%
Number Forms 9
 
< 0.1%
None 6
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33326
45.3%
1 8122
 
11.0%
2 5419
 
7.4%
3 4302
 
5.8%
4 3580
 
4.9%
0 3453
 
4.7%
5 3311
 
4.5%
6 2854
 
3.9%
7 2540
 
3.5%
8 2441
 
3.3%
Other values (54) 4270
 
5.8%
Hangul
ValueCountFrequency (%)
동 10449
 
8.7%
부 10407
 
8.7%
산 9733
 
8.1%
시 7369
 
6.1%
광 7162
 
6.0%
구 7124
 
5.9%
역 7106
 
5.9%
호 6302
 
5.2%
지 6170
 
5.1%
번 5757
 
4.8%
Other values (448) 42672
35.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
100.0%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct9386
Distinct (%)96.8%
Missing307
Missing (%)3.1%
Memory size156.2 KiB
2024-04-22T09:47:37.690449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length52
Mean length35.284432
Min length14

Characters and Unicode

Total characters342012
Distinct characters595
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

Unique9117 ?
Unique (%)94.1%

Sample

1st row부산광역시 중구 중구로 72-6, 대청포세이돈아크로 904호 (대청동4가)
2nd row부산광역시 남구 수영로 312, 1703호 (대연동, 21센츄리시티오피스텔)
3rd row부산광역시 부산진구 동천로 59, 지하1층 (부전동)
4th row부산광역시 중구 대영로242번길 9, 502호 (영주동)
5th row부산광역시 남구 동명로101번길 53, 102동 102호 (용호동, 용호동 바인하츠)
ValueCountFrequency (%)
부산광역시 9689
 
15.3%
부산진구 3470
 
5.5%
동래구 1897
 
3.0%
남구 1344
 
2.1%
중구 981
 
1.5%
동구 931
 
1.5%
1층 754
 
1.2%
부전동 681
 
1.1%
전포동 626
 
1.0%
서구 584
 
0.9%
Other values (7774) 42412
66.9%
2024-04-22T09:47:38.195070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53721
 
15.7%
동 16272
 
4.8%
부 14838
 
4.3%
1 14418
 
4.2%
산 13661
 
4.0%
, 10930
 
3.2%
시 10389
 
3.0%
광 10150
 
3.0%
구 10036
 
2.9%
역 9741
 
2.8%
Other values (585) 177856
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193825
56.7%
Decimal Number 60681
 
17.7%
Space Separator 53721
 
15.7%
Other Punctuation 10985
 
3.2%
Close Punctuation 9714
 
2.8%
Open Punctuation 9712
 
2.8%
Dash Punctuation 2046
 
0.6%
Uppercase Letter 1145
 
0.3%
Lowercase Letter 155
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16272
 
8.4%
부 14838
 
7.7%
산 13661
 
7.0%
시 10389
 
5.4%
광 10150
 
5.2%
구 10036
 
5.2%
역 9741
 
5.0%
로 9565
 
4.9%
호 5418
 
2.8%
길 4968
 
2.6%
Other values (513) 88787
45.8%
Uppercase Letter
ValueCountFrequency (%)
B 205
17.9%
S 145
12.7%
K 131
11.4%
A 128
11.2%
C 80
 
7.0%
H 59
 
5.2%
D 44
 
3.8%
T 40
 
3.5%
L 39
 
3.4%
U 38
 
3.3%
Other values (14) 236
20.6%
Lowercase Letter
ValueCountFrequency (%)
e 31
20.0%
l 21
13.5%
i 18
11.6%
o 17
11.0%
a 10
 
6.5%
s 9
 
5.8%
v 8
 
5.2%
n 6
 
3.9%
c 5
 
3.2%
b 4
 
2.6%
Other values (12) 26
16.8%
Decimal Number
ValueCountFrequency (%)
1 14418
23.8%
2 9102
15.0%
0 7979
13.1%
3 6857
11.3%
4 4958
 
8.2%
5 4457
 
7.3%
6 3754
 
6.2%
7 3417
 
5.6%
9 2898
 
4.8%
8 2841
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 10930
99.5%
. 24
 
0.2%
/ 14
 
0.1%
· 6
 
0.1%
& 6
 
0.1%
' 2
 
< 0.1%
@ 2
 
< 0.1%
# 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 14
93.3%
∥ 1
 
6.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅲ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
53721
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9714
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9712
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2046
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193824
56.7%
Common 146874
42.9%
Latin 1313
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16272
 
8.4%
부 14838
 
7.7%
산 13661
 
7.0%
시 10389
 
5.4%
광 10150
 
5.2%
구 10036
 
5.2%
역 9741
 
5.0%
로 9565
 
4.9%
호 5418
 
2.8%
길 4968
 
2.6%
Other values (512) 88786
45.8%
Latin
ValueCountFrequency (%)
B 205
15.6%
S 145
 
11.0%
K 131
 
10.0%
A 128
 
9.7%
C 80
 
6.1%
H 59
 
4.5%
D 44
 
3.4%
T 40
 
3.0%
L 39
 
3.0%
U 38
 
2.9%
Other values (38) 404
30.8%
Common
ValueCountFrequency (%)
53721
36.6%
1 14418
 
9.8%
, 10930
 
7.4%
) 9714
 
6.6%
( 9712
 
6.6%
2 9102
 
6.2%
0 7979
 
5.4%
3 6857
 
4.7%
4 4958
 
3.4%
5 4457
 
3.0%
Other values (14) 15026
 
10.2%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193824
56.7%
ASCII 148167
43.3%
Number Forms 13
 
< 0.1%
None 6
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53721
36.3%
1 14418
 
9.7%
, 10930
 
7.4%
) 9714
 
6.6%
( 9712
 
6.6%
2 9102
 
6.1%
0 7979
 
5.4%
3 6857
 
4.6%
4 4958
 
3.3%
5 4457
 
3.0%
Other values (58) 16319
 
11.0%
Hangul
ValueCountFrequency (%)
동 16272
 
8.4%
부 14838
 
7.7%
산 13661
 
7.0%
시 10389
 
5.4%
광 10150
 
5.2%
구 10036
 
5.2%
역 9741
 
5.0%
로 9565
 
4.9%
호 5418
 
2.8%
길 4968
 
2.6%
Other values (512) 88786
45.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅲ 1
 
7.7%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1468
Distinct (%)18.2%
Missing1939
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean194427.62
Minimum7955
Maximum614897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:38.358204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7955
5-th percentile47193
Q147369
median48554
Q3600064
95-th percentile614836
Maximum614897
Range606942
Interquartile range (IQR)552695

Descriptive statistics

Standard deviation246305.45
Coefficient of variation (CV)1.2668233
Kurtosis-0.81381627
Mean194427.62
Median Absolute Deviation (MAD)1193
Skewness1.0889078
Sum1.5672811 × 109
Variance6.0666375 × 1010
MonotonicityNot monotonic
2024-04-22T09:47:38.518243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 90
 
0.9%
47247 67
 
0.7%
47286 52
 
0.5%
48516 51
 
0.5%
48742 51
 
0.5%
47295 44
 
0.4%
47293 44
 
0.4%
47284 41
 
0.4%
47292 39
 
0.4%
48498 37
 
0.4%
Other values (1458) 7545
75.4%
(Missing) 1939
 
19.4%
ValueCountFrequency (%)
7955 1
 
< 0.1%
47101 5
0.1%
47102 6
0.1%
47103 4
< 0.1%
47104 6
0.1%
47105 4
< 0.1%
47106 3
< 0.1%
47107 2
 
< 0.1%
47108 3
< 0.1%
47109 3
< 0.1%
ValueCountFrequency (%)
614897 1
 
< 0.1%
614894 5
0.1%
614891 1
 
< 0.1%
614890 1
 
< 0.1%
614884 1
 
< 0.1%
614883 1
 
< 0.1%
614882 1
 
< 0.1%
614881 2
 
< 0.1%
614879 1
 
< 0.1%
614876 5
0.1%

사업장명
Text

Distinct9787
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T09:47:38.885994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length6.5793
Min length1

Characters and Unicode

Total characters65793
Distinct characters1114
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

Unique9595 ?
Unique (%)96.0%

Sample

1st row깔심야
2nd row㈜코리아에프앤에프
3rd row아모르스튜디오 서면점
4th rowHOHO
5th row코모
ValueCountFrequency (%)
주식회사 334
 
2.8%
주 33
 
0.3%
더 24
 
0.2%
shop 20
 
0.2%
korea 17
 
0.1%
company 16
 
0.1%
컴퍼니 14
 
0.1%
앤 12
 
0.1%
11
 
0.1%
international 11
 
0.1%
Other values (10746) 11581
95.9%
2024-04-22T09:47:39.407244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 2115
 
3.2%
( 2109
 
3.2%
이 2094
 
3.2%
2078
 
3.2%
스 1699
 
2.6%
리 1035
 
1.6%
주 1003
 
1.5%
e 810
 
1.2%
아 786
 
1.2%
사 784
 
1.2%
Other values (1104) 51280
77.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45908
69.8%
Lowercase Letter 6881
 
10.5%
Uppercase Letter 5664
 
8.6%
Close Punctuation 2116
 
3.2%
Open Punctuation 2110
 
3.2%
Space Separator 2078
 
3.2%
Decimal Number 475
 
0.7%
Other Punctuation 357
 
0.5%
Dash Punctuation 94
 
0.1%
Other Symbol 86
 
0.1%
Other values (4) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2094
 
4.6%
스 1699
 
3.7%
리 1035
 
2.3%
주 1003
 
2.2%
아 786
 
1.7%
사 784
 
1.7%
라 623
 
1.4%
에 590
 
1.3%
트 573
 
1.2%
드 573
 
1.2%
Other values (1018) 36148
78.7%
Lowercase Letter
ValueCountFrequency (%)
e 810
11.8%
o 733
 
10.7%
a 585
 
8.5%
i 511
 
7.4%
n 485
 
7.0%
l 459
 
6.7%
r 386
 
5.6%
t 357
 
5.2%
s 340
 
4.9%
m 297
 
4.3%
Other values (16) 1918
27.9%
Uppercase Letter
ValueCountFrequency (%)
O 496
 
8.8%
A 444
 
7.8%
E 399
 
7.0%
S 391
 
6.9%
M 348
 
6.1%
N 338
 
6.0%
L 302
 
5.3%
T 297
 
5.2%
C 283
 
5.0%
I 274
 
4.8%
Other values (16) 2092
36.9%
Other Punctuation
ValueCountFrequency (%)
. 164
45.9%
& 94
26.3%
, 35
 
9.8%
' 31
 
8.7%
# 11
 
3.1%
: 9
 
2.5%
/ 6
 
1.7%
· 3
 
0.8%
% 2
 
0.6%
＆ 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 114
24.0%
2 85
17.9%
0 55
11.6%
4 48
10.1%
5 41
 
8.6%
9 37
 
7.8%
3 32
 
6.7%
7 23
 
4.8%
6 20
 
4.2%
8 20
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 2115
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2109
> 99.9%
[ 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 2
50.0%
^ 2
50.0%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
2078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 86
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45959
69.9%
Latin 12545
 
19.1%
Common 7254
 
11.0%
Han 33
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2094
 
4.6%
스 1699
 
3.7%
리 1035
 
2.3%
주 1003
 
2.2%
아 786
 
1.7%
사 784
 
1.7%
라 623
 
1.4%
에 590
 
1.3%
트 573
 
1.2%
드 573
 
1.2%
Other values (992) 36199
78.8%
Latin
ValueCountFrequency (%)
e 810
 
6.5%
o 733
 
5.8%
a 585
 
4.7%
i 511
 
4.1%
O 496
 
4.0%
n 485
 
3.9%
l 459
 
3.7%
A 444
 
3.5%
E 399
 
3.2%
S 391
 
3.1%
Other values (42) 7232
57.6%
Common
ValueCountFrequency (%)
) 2115
29.2%
( 2109
29.1%
2078
28.6%
. 164
 
2.3%
1 114
 
1.6%
- 94
 
1.3%
& 94
 
1.3%
2 85
 
1.2%
0 55
 
0.8%
4 48
 
0.7%
Other values (23) 298
 
4.1%
Han
ValueCountFrequency (%)
愛 5
 
15.2%
家 3
 
9.1%
美 3
 
9.1%
秀 1
 
3.0%
花 1
 
3.0%
新 1
 
3.0%
古 1
 
3.0%
福 1
 
3.0%
株 1
 
3.0%
演 1
 
3.0%
Other values (15) 15
45.5%
Hiragana
ValueCountFrequency (%)
る 1
50.0%
な 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45872
69.7%
ASCII 19792
30.1%
None 90
 
0.1%
CJK 32
 
< 0.1%
Punctuation 3
 
< 0.1%
Hiragana 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 2115
 
10.7%
( 2109
 
10.7%
2078
 
10.5%
e 810
 
4.1%
o 733
 
3.7%
a 585
 
3.0%
i 511
 
2.6%
O 496
 
2.5%
n 485
 
2.5%
l 459
 
2.3%
Other values (72) 9411
47.5%
Hangul
ValueCountFrequency (%)
이 2094
 
4.6%
스 1699
 
3.7%
리 1035
 
2.3%
주 1003
 
2.2%
아 786
 
1.7%
사 784
 
1.7%
라 623
 
1.4%
에 590
 
1.3%
트 573
 
1.2%
드 573
 
1.2%
Other values (990) 36112
78.7%
None
ValueCountFrequency (%)
㈜ 86
95.6%
· 3
 
3.3%
＆ 1
 
1.1%
CJK
ValueCountFrequency (%)
愛 5
 
15.6%
家 3
 
9.4%
美 3
 
9.4%
秀 1
 
3.1%
花 1
 
3.1%
新 1
 
3.1%
古 1
 
3.1%
福 1
 
3.1%
株 1
 
3.1%
演 1
 
3.1%
Other values (14) 14
43.8%
Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅋ 1
100.0%
Hiragana
ValueCountFrequency (%)
る 1
50.0%
な 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9998
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167524 × 1013
Minimum2.007071 × 1013
Maximum2.0210227 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:39.542037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007071 × 1013
5-th percentile2.0100423 × 1013
Q12.0141104 × 1013
median2.0180426 × 1013
Q32.0200131 × 1013
95-th percentile2.0201218 × 1013
Maximum2.0210227 × 1013
Range1.3951697 × 1011
Interquartile range (IQR)5.9027211 × 1010

Descriptive statistics

Standard deviation3.4675479 × 1010
Coefficient of variation (CV)0.0017193722
Kurtosis-0.38181333
Mean2.0167524 × 1013
Median Absolute Deviation (MAD)2.0117944 × 1010
Skewness-0.84066932
Sum2.0167524 × 1017
Variance1.2023889 × 1021
MonotonicityNot monotonic
2024-04-22T09:47:39.681359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200227152352 2
 
< 0.1%
20210219135826 2
 
< 0.1%
20210223160531 1
 
< 0.1%
20181013122230 1
 
< 0.1%
20181205160752 1
 
< 0.1%
20180619173845 1
 
< 0.1%
20150416105232 1
 
< 0.1%
20161113130830 1
 
< 0.1%
20160129180237 1
 
< 0.1%
20141217104549 1
 
< 0.1%
Other values (9988) 9988
99.9%
ValueCountFrequency (%)
20070710130702 1
< 0.1%
20070807150627 1
< 0.1%
20070813135814 1
< 0.1%
20070911094849 1
< 0.1%
20071010173022 1
< 0.1%
20071024135239 1
< 0.1%
20071109170707 1
< 0.1%
20071116171131 1
< 0.1%
20071203190833 1
< 0.1%
20071207181818 1
< 0.1%
ValueCountFrequency (%)
20210227101832 1
< 0.1%
20210226173701 1
< 0.1%
20210226173558 1
< 0.1%
20210226173424 1
< 0.1%
20210226165340 1
< 0.1%
20210226101147 1
< 0.1%
20210226100919 1
< 0.1%
20210226095827 1
< 0.1%
20210225162603 1
< 0.1%
20210225162541 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8130 
U
1870 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8130
81.3%
U 1870
 
18.7%

Length

2024-04-22T09:47:39.829227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:47:39.923888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8130
81.3%
u 1870
 
18.7%

데이터갱신일자
Date

Distinct1068
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-03-02 00:23:17
2024-04-22T09:47:40.032369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:47:40.172027image/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
4470 
기타
2133 
종합몰
1422 
건강/식품
855 
레져/여행/공연
 
341
Other values (7)
779 

Length

Max length11
Median length9
Mean length7.0835
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의류/패션/잡화/뷰티 4470
44.7%
기타 2133
21.3%
종합몰 1422
 
14.2%
건강/식품 855
 
8.6%
레져/여행/공연 341
 
3.4%
교육/도서/완구/오락 268
 
2.7%
컴퓨터/사무용품 173
 
1.7%
가전 132
 
1.3%
가구/수납용품 93
 
0.9%
자동차/자동차용품 84
 
0.8%
Other values (2) 29
 
0.3%

Length

2024-04-22T09:47:40.301422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의류/패션/잡화/뷰티 4470
44.7%
기타 2133
21.3%
종합몰 1422
 
14.2%
건강/식품 855
 
8.6%
레져/여행/공연 341
 
3.4%
교육/도서/완구/오락 268
 
2.7%
컴퓨터/사무용품 173
 
1.7%
가전 132
 
1.3%
가구/수납용품 93
 
0.9%
자동차/자동차용품 84
 
0.8%
Other values (2) 29
 
0.3%

좌표정보(x)
Real number (ℝ)

MISSING  SKEWED 

Distinct6102
Distinct (%)62.6%
Missing257
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean387570.92
Minimum185009.56
Maximum398251.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:40.426107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185009.56
5-th percentile384163.22
Q1385802.18
median387729.52
Q3389029.8
95-th percentile391747.5
Maximum398251.78
Range213242.23
Interquartile range (IQR)3227.6203

Descriptive statistics

Standard deviation5238.7273
Coefficient of variation (CV)0.013516822
Kurtosis1043.1614
Mean387570.92
Median Absolute Deviation (MAD)1635.5158
Skewness-28.881745
Sum3.7761035 × 109
Variance27444263
MonotonicityNot monotonic
2024-04-22T09:47:40.572383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387618.822819234 64
 
0.6%
392474.578116018 60
 
0.6%
388140.891260505 58
 
0.6%
387768.514676203 51
 
0.5%
391411.212179843 41
 
0.4%
387748.383011444 41
 
0.4%
387225.613588405 30
 
0.3%
389816.233000769 28
 
0.3%
387816.362564942 27
 
0.3%
387564.611330896 26
 
0.3%
Other values (6092) 9317
93.2%
(Missing) 257
 
2.6%
ValueCountFrequency (%)
185009.555650292 1
< 0.1%
188149.329645925 1
< 0.1%
196515.609980537 1
< 0.1%
199956.475545587 1
< 0.1%
207477.065034569 1
< 0.1%
220969.228808431 1
< 0.1%
328708.800495696 1
< 0.1%
380128.339808636 1
< 0.1%
380774.63005097 1
< 0.1%
380788.411423587 1
< 0.1%
ValueCountFrequency (%)
398251.781075537 1
 
< 0.1%
396943.0 1
 
< 0.1%
393814.249916409 1
 
< 0.1%
393449.693784 5
 
0.1%
393163.706837417 21
0.2%
393010.235405366 1
 
< 0.1%
393000.17804457 1
 
< 0.1%
392999.210435176 1
 
< 0.1%
392970.505620613 1
 
< 0.1%
392943.519664196 3
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING  SKEWED 

Distinct6110
Distinct (%)62.7%
Missing257
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean185341.38
Minimum148892.54
Maximum454134.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:47:40.726870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148892.54
5-th percentile178665.95
Q1182002.55
median185370.69
Q3187777.87
95-th percentile191944.05
Maximum454134.48
Range305241.94
Interquartile range (IQR)5775.3194

Descriptive statistics

Standard deviation7614.5709
Coefficient of variation (CV)0.041084031
Kurtosis800.69963
Mean185341.38
Median Absolute Deviation (MAD)2791.1348
Skewness23.696516
Sum1.805781 × 109
Variance57981690
MonotonicityNot monotonic
2024-04-22T09:47:40.866498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.478853367 64
 
0.6%
184063.252176119 58
 
0.6%
183052.21115244 54
 
0.5%
184371.452375082 51
 
0.5%
184052.409245407 41
 
0.4%
185533.437357236 41
 
0.4%
186408.726533861 30
 
0.3%
193329.605871168 28
 
0.3%
186316.00373302 27
 
0.3%
183837.166587761 26
 
0.3%
Other values (6100) 9323
93.2%
(Missing) 257
 
2.6%
ValueCountFrequency (%)
148892.539528186 1
 
< 0.1%
174683.069423816 7
0.1%
174764.125702762 5
0.1%
175140.099221406 8
0.1%
175520.650585192 3
 
< 0.1%
175548.363291157 1
 
< 0.1%
175555.500913879 1
 
< 0.1%
175580.741380931 8
0.1%
175748.916869051 1
 
< 0.1%
175767.563913389 5
0.1%
ValueCountFrequency (%)
454134.483273144 1
< 0.1%
448873.564101889 1
< 0.1%
448604.893483191 1
< 0.1%
441617.349542947 1
< 0.1%
435486.907410902 1
< 0.1%
423582.017857749 1
< 0.1%
214359.0 1
< 0.1%
194175.406418151 1
< 0.1%
193809.960075181 1
< 0.1%
193611.459802136 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 

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9414 
기타
 
120
기타, 인터넷
 
97
<NA>
 
96
인터넷, 기타
 
50
Other values (45)
 
223

Length

Max length26
Median length3
Mean length3.2847
Min length2

Unique

Unique13 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 9414
94.1%
기타 120
 
1.2%
기타, 인터넷 97
 
1.0%
<NA> 96
 
1.0%
인터넷, 기타 50
 
0.5%
TV홈쇼핑, 인터넷 26
 
0.3%
카다로그, 인터넷 24
 
0.2%
TV홈쇼핑 19
 
0.2%
인터넷, TV홈쇼핑 15
 
0.1%
기타, 신문잡지, 카다로그, 인터넷 13
 
0.1%
Other values (40) 126
 
1.3%

Length

2024-04-22T09:47:41.009891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9745
92.6%
기타 347
 
3.3%
카다로그 132
 
1.3%
tv홈쇼핑 118
 
1.1%
na 96
 
0.9%
신문잡지 90
 
0.9%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
11061107통신판매업08_26_04_P3250000202132501453020008920210223<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동4가 82-21 대청포세이돈아크로부산광역시 중구 중구로 72-6, 대청포세이돈아크로 904호 (대청동4가)48933깔심야20210223160531I2021-02-25 00:23:01.0종합몰384937.279516180163.739046<NA><NA><NA>인터넷<NA>
2348723488통신판매업08_26_04_P3310000201733100883020005420060728<NA>1영업/정상1정상영업<NA><NA><NA><NA>0512616151<NA><NA>부산광역시 남구 대연동 55번지 1호부산광역시 남구 수영로 312, 1703호 (대연동, 21센츄리시티오피스텔)48508㈜코리아에프앤에프20170203101701I2018-08-31 23:59:59.0종합몰391411.21218184052.409245<NA><NA><NA>인터넷<NA>
93579358통신판매업08_26_04_P3290000202032901443020037120181207<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-256-1648<NA><NA>부산광역시 부산진구 부전동 223번지 1호부산광역시 부산진구 동천로 59, 지하1층 (부전동)47296아모르스튜디오 서면점20201120111156U2020-11-22 02:40:00.0기타387834.547204185819.256549<NA><NA><NA>인터넷<NA>
17671768통신판매업08_26_04_P3250000200932500693020001220090130<NA>3폐업3폐업처리20090130<NA><NA><NA>051 462 0030<NA>600110부산광역시 중구 영주동 609번지 18호 502호부산광역시 중구 대영로242번길 9, 502호 (영주동)<NA>HOHO20090130145046I2018-08-31 23:59:59.0기타385654.387511181022.694874<NA><NA><NA>인터넷<NA>
2612026121통신판매업08_26_04_P3310000202033101193020043620201109<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 용호동 283-2 용호동 바인하츠부산광역시 남구 동명로101번길 53, 102동 102호 (용호동, 용호동 바인하츠)48521코모20201112170044U2020-11-14 02:40:00.0의류/패션/잡화/뷰티392039.863555182371.922223<NA><NA><NA>인터넷<NA>
2066920670통신판매업08_26_04_P3300000202033000993020045320200612<NA>3폐업3폐업처리20200909<NA><NA><NA><NA><NA><NA>부산광역시 동래구 명륜동 788번지 명륜2차아이파크아파트부산광역시 동래구 시실로 73-6, 203동 1802호 (명륜동, 명륜2차아이파크아파트)47756글라스원20200909094142U2020-09-11 02:40:00.0의류/패션/잡화/뷰티390383.067123192544.636421<NA><NA><NA>인터넷<NA>
2216122162통신판매업08_26_04_P3300000201833000993020026520180604<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 189번지 18호 신화하니엘 더 라임부산광역시 동래구 금강로106번길 41, 1601호 (온천동, 신화하니엘 더 라임)47712라인비키20190527174056U2019-05-29 02:40:00.0의류/패션/잡화/뷰티389445.495841193015.990783<NA><NA><NA>인터넷<NA>
2236322364통신판매업08_26_04_P3300000200933000643020010320090420<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>552-6632<NA>607839부산광역시 동래구 온천3동 1158번지 2호 4층부산광역시 동래구 쇠미로221번길 3, 4층 (온천동)607839쿡제20161221143804I2018-08-31 23:59:59.0가전387908.09739192034.005428<NA><NA><NA>인터넷<NA>
1895818959통신판매업08_26_04_P3300000202033000993020057020170328<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-923-9119<NA><NA>부산광역시 동래구 수안동 40-18부산광역시 동래구 수안로8번길 19-8, 1층 (수안동)47887대성밧데리20200722135929I2020-07-24 00:23:15.0기타390188.420858190450.821056<NA><NA><NA>인터넷, 기타<NA>
1451414515통신판매업08_26_04_P3290000201432901073020011220140228<NA>3폐업3폐업처리20161229<NA><NA><NA>051-818-3223<NA><NA><NA>부산광역시 부산진구 초읍천로 113-7, 103동 101호 (초읍동, 초읍파크빌리지)614873메디피아20161229172736I2018-08-31 23:59:59.0기타386303.203664188905.664969<NA><NA><NA>인터넷<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
76707671통신판매업08_26_04_P3280000201832800923020013720181218<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 영도구 동삼동 363번지 46호 삼창파크타운부산광역시 영도구 동삼로29번길 7, 102동 216호 (동삼동, 삼창파크타운)49108미니무드20181219142629I2018-12-21 02:20:23.0의류/패션/잡화/뷰티388828.066972177152.221787<NA><NA><NA>인터넷<NA>
2455524556통신판매업08_26_04_P3310000201633100883020002220160114<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-646-2033<NA><NA><NA>부산광역시 남구 우암로176번길 8 (우암동)48469가미(GaMM)20160115180033I2018-08-31 23:59:59.0의류/패션/잡화/뷰티389317.422134182621.515245<NA><NA><NA>인터넷<NA>
86628663통신판매업08_26_04_P3290000201932901283020059820190531<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 535번지 10호부산광역시 부산진구 신천대로62번길 2, KH마이우스 1305호 (부전동)47289159센티미터(cm)20190603111244I2019-06-05 02:21:04.0의류/패션/잡화/뷰티387523.019466185458.23582<NA><NA><NA>인터넷<NA>
1372013721통신판매업08_26_04_P3290000202032901443020113020200730<NA>3폐업3폐업처리20201112<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 388-2부산광역시 부산진구 거제대로60번길 24, 굿모닝뷰 401호 (양정동)47212모드니20201112161115U2020-11-14 02:40:00.0종합몰388395.404992187976.257675<NA><NA><NA>인터넷<NA>
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