Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells116156
Missing cells (%)35.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory293.0 B

Variable types

Numeric15
Categorical8
Text4
Unsupported5
DateTime1

Dataset

Description2021-02-01
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 9866 (98.7%) missing valuesMissing
폐업일자 has 7854 (78.5%) missing valuesMissing
휴업시작일자 has 9971 (99.7%) missing valuesMissing
휴업종료일자 has 9972 (99.7%) missing valuesMissing
재개업일자 has 9993 (99.9%) missing valuesMissing
소재지전화 has 5299 (53.0%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7355 (73.6%) missing valuesMissing
소재지전체주소 has 2894 (28.9%) missing valuesMissing
도로명전체주소 has 325 (3.2%) missing valuesMissing
도로명우편번호 has 2067 (20.7%) missing valuesMissing
좌표정보(x) has 280 (2.8%) missing valuesMissing
좌표정보(y) has 280 (2.8%) 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 = -34.80291745)Skewed
좌표정보(x) is highly skewed (γ1 = -33.42170469)Skewed
좌표정보(y) is highly skewed (γ1 = 25.33501475)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부채총액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-22 00:38:36.054600
Analysis finished2024-04-22 00:38:38.088410
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13265.71
Minimum1
Maximum26564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:38.164293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1298.95
Q16536.5
median13313.5
Q319957
95-th percentile25259.05
Maximum26564
Range26563
Interquartile range (IQR)13420.5

Descriptive statistics

Standard deviation7714.4385
Coefficient of variation (CV)0.58153229
Kurtosis-1.2135563
Mean13265.71
Median Absolute Deviation (MAD)6716
Skewness0.00063487006
Sum1.326571 × 108
Variance59512562
MonotonicityNot monotonic
2024-04-22T09:38:38.329108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17875 1
 
< 0.1%
21172 1
 
< 0.1%
6627 1
 
< 0.1%
13442 1
 
< 0.1%
8208 1
 
< 0.1%
16027 1
 
< 0.1%
16559 1
 
< 0.1%
14769 1
 
< 0.1%
14361 1
 
< 0.1%
17373 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
18 1
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
29 1
< 0.1%
32 1
< 0.1%
ValueCountFrequency (%)
26564 1
< 0.1%
26563 1
< 0.1%
26557 1
< 0.1%
26556 1
< 0.1%
26549 1
< 0.1%
26548 1
< 0.1%
26547 1
< 0.1%
26543 1
< 0.1%
26541 1
< 0.1%
26538 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

2024-04-22T09:38:38.465754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:38:38.567605image/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

2024-04-22T09:38:38.671309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:38:38.774120image/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%
Mean3286683
Minimum3250000
Maximum3310000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:38.880365image/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 deviation18408.188
Coefficient of variation (CV)0.0056008408
Kurtosis-0.54486097
Mean3286683
Median Absolute Deviation (MAD)10000
Skewness-0.67876266
Sum3.286683 × 1010
Variance3.388614 × 108
MonotonicityNot monotonic
2024-04-22T09:38:38.992354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3290000 3414
34.1%
3300000 1825
18.2%
3310000 1650
16.5%
3250000 1047
 
10.5%
3270000 1018
 
10.2%
3260000 586
 
5.9%
3280000 460
 
4.6%
ValueCountFrequency (%)
3250000 1047
 
10.5%
3260000 586
 
5.9%
3270000 1018
 
10.2%
3280000 460
 
4.6%
3290000 3414
34.1%
3300000 1825
18.2%
3310000 1650
16.5%
ValueCountFrequency (%)
3310000 1650
16.5%
3300000 1825
18.2%
3290000 3414
34.1%
3280000 460
 
4.6%
3270000 1018
 
10.2%
3260000 586
 
5.9%
3250000 1047
 
10.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153043 × 1018
Minimum2.00033 × 1018
Maximum2.020331 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:39.142888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.00033 × 1018
5-th percentile2.007329 × 1018
Q12.011331 × 1018
median2.016329 × 1018
Q32.019328 × 1018
95-th percentile2.02033 × 1018
Maximum2.020331 × 1018
Range2.0001006 × 1016
Interquartile range (IQR)7.997005 × 1015

Descriptive statistics

Standard deviation4.3230885 × 1015
Coefficient of variation (CV)0.0021451294
Kurtosis-0.74972343
Mean2.0153043 × 1018
Median Absolute Deviation (MAD)3.0019972 × 1015
Skewness-0.59898032
Sum9.1982536 × 1018
Variance1.8689095 × 1031
MonotonicityNot monotonic
2024-04-22T09:38:39.317024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2019330009930200727 1
 
< 0.1%
2015330007930200319 1
 
< 0.1%
2005327007730200164 1
 
< 0.1%
2010329008530200042 1
 
< 0.1%
2019329012830200179 1
 
< 0.1%
2011329008530200085 1
 
< 0.1%
2014329010730200092 1
 
< 0.1%
2019329012830200969 1
 
< 0.1%
2017329012830200657 1
 
< 0.1%
2015330007930200114 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2000330006430200388 1
< 0.1%
2001325005930200823 1
< 0.1%
2001329008530200451 1
< 0.1%
2001329008530200811 1
< 0.1%
2002326006630200040 1
< 0.1%
2002327007130201300 1
< 0.1%
2002327007130201507 1
< 0.1%
2002328007030201482 1
< 0.1%
2002329008530200024 1
< 0.1%
2002329008530200037 1
< 0.1%
ValueCountFrequency (%)
2020331011930200585 1
< 0.1%
2020331011930200583 1
< 0.1%
2020331011930200578 1
< 0.1%
2020331011930200576 1
< 0.1%
2020331011930200570 1
< 0.1%
2020331011930200569 1
< 0.1%
2020331011930200565 1
< 0.1%
2020331011930200554 1
< 0.1%
2020331011930200552 1
< 0.1%
2020331011930200549 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3353
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20148597
Minimum20000821
Maximum20201228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:39.488919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000821
5-th percentile20070807
Q120111011
median20160419
Q320190212
95-th percentile20200901
Maximum20201228
Range200407
Interquartile range (IQR)79201

Descriptive statistics

Standard deviation43591.89
Coefficient of variation (CV)0.0021635199
Kurtosis-0.78978191
Mean20148597
Median Absolute Deviation (MAD)30409.5
Skewness-0.55828324
Sum2.0148597 × 1011
Variance1.9002529 × 109
MonotonicityNot monotonic
2024-04-22T09:38:39.654598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201015 15
 
0.1%
20200907 15
 
0.1%
20200929 14
 
0.1%
20200506 14
 
0.1%
20200423 14
 
0.1%
20201111 14
 
0.1%
20200206 14
 
0.1%
20200414 13
 
0.1%
20200702 13
 
0.1%
20200831 13
 
0.1%
Other values (3343) 9861
98.6%
ValueCountFrequency (%)
20000821 1
< 0.1%
20010212 1
< 0.1%
20011127 1
< 0.1%
20011205 1
< 0.1%
20020425 1
< 0.1%
20020513 1
< 0.1%
20020722 1
< 0.1%
20020905 1
< 0.1%
20020911 1
< 0.1%
20020925 1
< 0.1%
ValueCountFrequency (%)
20201228 5
0.1%
20201224 3
< 0.1%
20201223 5
0.1%
20201221 5
0.1%
20201218 7
0.1%
20201217 3
< 0.1%
20201216 2
 
< 0.1%
20201215 5
0.1%
20201214 6
0.1%
20201211 4
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)17.9%
Missing9866
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20099297
Minimum20080715
Maximum20151120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:39.807501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080715
5-th percentile20080908
Q120100713
median20100713
Q320100730
95-th percentile20130686
Maximum20151120
Range70405
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12929.335
Coefficient of variation (CV)0.00064327303
Kurtosis5.7536826
Mean20099297
Median Absolute Deviation (MAD)17
Skewness1.6643985
Sum2.6933058 × 109
Variance1.6716771 × 108
MonotonicityNot monotonic
2024-04-22T09:38:39.938479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20100713 46
 
0.5%
20100730 22
 
0.2%
20080908 15
 
0.1%
20101231 14
 
0.1%
20101206 8
 
0.1%
20080715 4
 
< 0.1%
20091006 4
 
< 0.1%
20100326 2
 
< 0.1%
20151120 2
 
< 0.1%
20101101 2
 
< 0.1%
Other values (14) 15
 
0.1%
(Missing) 9866
98.7%
ValueCountFrequency (%)
20080715 4
 
< 0.1%
20080818 1
 
< 0.1%
20080908 15
0.1%
20081209 1
 
< 0.1%
20081226 1
 
< 0.1%
20081228 1
 
< 0.1%
20090921 1
 
< 0.1%
20091006 4
 
< 0.1%
20091119 1
 
< 0.1%
20100326 2
 
< 0.1%
ValueCountFrequency (%)
20151120 2
 
< 0.1%
20151013 1
 
< 0.1%
20141202 1
 
< 0.1%
20131219 1
 
< 0.1%
20131204 1
 
< 0.1%
20130814 1
 
< 0.1%
20130617 1
 
< 0.1%
20101231 14
0.1%
20101206 8
0.1%
20101101 2
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5317 
4
2521 
3
2146 
2
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5317
53.2%
4 2521
25.2%
3 2146
21.5%
2 16
 
0.2%

Length

2024-04-22T09:38:40.079441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:38:40.180087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5317
53.2%
4 2521
25.2%
3 2146
21.5%
2 16
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5317 
취소/말소/만료/정지/중지
2521 
폐업
2146 
휴업
 
16

Length

Max length14
Median length5
Mean length6.6203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5317
53.2%
취소/말소/만료/정지/중지 2521
25.2%
폐업 2146
21.5%
휴업 16
 
0.2%

Length

2024-04-22T09:38:40.307410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:38:40.441887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5317
53.2%
취소/말소/만료/정지/중지 2521
25.2%
폐업 2146
21.5%
휴업 16
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9044
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:40.546911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4397655
Coefficient of variation (CV)0.84002394
Kurtosis-0.90607291
Mean2.9044
Median Absolute Deviation (MAD)0
Skewness0.87800361
Sum29044
Variance5.9524559
MonotonicityNot monotonic
2024-04-22T09:38:40.659304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5314
53.1%
7 2386
23.9%
3 2146
21.5%
4 135
 
1.4%
2 16
 
0.2%
6 3
 
< 0.1%
ValueCountFrequency (%)
1 5314
53.1%
2 16
 
0.2%
3 2146
21.5%
4 135
 
1.4%
6 3
 
< 0.1%
7 2386
23.9%
ValueCountFrequency (%)
7 2386
23.9%
6 3
 
< 0.1%
4 135
 
1.4%
3 2146
21.5%
2 16
 
0.2%
1 5314
53.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
5314 
직권말소
2386 
폐업처리
2146 
직권취소
 
135
휴업처리
 
16

Length

Max length6
Median length4
Mean length4.0006
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 5314
53.1%
직권말소 2386
23.9%
폐업처리 2146
21.5%
직권취소 135
 
1.4%
휴업처리 16
 
0.2%
타시군구전입 3
 
< 0.1%

Length

2024-04-22T09:38:40.804402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:38:40.939540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 5314
53.1%
직권말소 2386
23.9%
폐업처리 2146
21.5%
직권취소 135
 
1.4%
휴업처리 16
 
0.2%
타시군구전입 3
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1519
Distinct (%)70.8%
Missing7854
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean20142643
Minimum20051228
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:41.092591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051228
5-th percentile20080648
Q120110223
median20140722
Q320180601
95-th percentile20200811
Maximum20201231
Range150003
Interquartile range (IQR)70377.75

Descriptive statistics

Standard deviation40322.387
Coefficient of variation (CV)0.0020018419
Kurtosis-1.3046335
Mean20142643
Median Absolute Deviation (MAD)39506
Skewness-0.039089888
Sum4.3226112 × 1010
Variance1.6258949 × 109
MonotonicityNot monotonic
2024-04-22T09:38:41.255929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190628 13
 
0.1%
20151230 10
 
0.1%
20201231 9
 
0.1%
20200324 6
 
0.1%
20151231 6
 
0.1%
20201230 6
 
0.1%
20081231 5
 
0.1%
20100119 5
 
0.1%
20140127 5
 
0.1%
20201224 5
 
0.1%
Other values (1509) 2076
 
20.8%
(Missing) 7854
78.5%
ValueCountFrequency (%)
20051228 1
 
< 0.1%
20070502 1
 
< 0.1%
20070509 1
 
< 0.1%
20070618 1
 
< 0.1%
20070619 2
< 0.1%
20070625 3
< 0.1%
20070706 1
 
< 0.1%
20070710 1
 
< 0.1%
20070725 1
 
< 0.1%
20070801 1
 
< 0.1%
ValueCountFrequency (%)
20201231 9
0.1%
20201230 6
0.1%
20201229 2
 
< 0.1%
20201228 3
 
< 0.1%
20201227 1
 
< 0.1%
20201226 1
 
< 0.1%
20201224 5
0.1%
20201223 1
 
< 0.1%
20201222 2
 
< 0.1%
20201221 2
 
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing9971
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20134514
Minimum20080529
Maximum20201204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:41.412397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080529
5-th percentile20080657
Q120100809
median20130219
Q320161216
95-th percentile20201045
Maximum20201204
Range120675
Interquartile range (IQR)60407

Descriptive statistics

Standard deviation41212.862
Coefficient of variation (CV)0.0020468765
Kurtosis-1.1477759
Mean20134514
Median Absolute Deviation (MAD)29882
Skewness0.42801592
Sum5.839009 × 108
Variance1.6985 × 109
MonotonicityNot monotonic
2024-04-22T09:38:41.562803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20100809 1
 
< 0.1%
20120613 1
 
< 0.1%
20200222 1
 
< 0.1%
20200924 1
 
< 0.1%
20201125 1
 
< 0.1%
20201204 1
 
< 0.1%
20080529 1
 
< 0.1%
20161216 1
 
< 0.1%
20160101 1
 
< 0.1%
20140319 1
 
< 0.1%
Other values (19) 19
 
0.2%
(Missing) 9971
99.7%
ValueCountFrequency (%)
20080529 1
< 0.1%
20080618 1
< 0.1%
20080716 1
< 0.1%
20090406 1
< 0.1%
20090630 1
< 0.1%
20100119 1
< 0.1%
20100705 1
< 0.1%
20100809 1
< 0.1%
20101014 1
< 0.1%
20101102 1
< 0.1%
ValueCountFrequency (%)
20201204 1
< 0.1%
20201125 1
< 0.1%
20200924 1
< 0.1%
20200222 1
< 0.1%
20190904 1
< 0.1%
20190103 1
< 0.1%
20181207 1
< 0.1%
20161216 1
< 0.1%
20160101 1
< 0.1%
20141011 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing9972
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20141296
Minimum20080630
Maximum20230131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:41.936499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080630
5-th percentile20081161
Q120101205
median20136066
Q320175555
95-th percentile20211073
Maximum20230131
Range149501
Interquartile range (IQR)74350.5

Descriptive statistics

Standard deviation45446.875
Coefficient of variation (CV)0.0022564027
Kurtosis-1.0333495
Mean20141296
Median Absolute Deviation (MAD)34888
Skewness0.42544445
Sum5.6395629 × 108
Variance2.0654185 × 109
MonotonicityNot monotonic
2024-04-22T09:38:42.075692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20101231 2
 
< 0.1%
20081220 1
 
< 0.1%
20130613 1
 
< 0.1%
20201223 1
 
< 0.1%
20230131 1
 
< 0.1%
20210831 1
 
< 0.1%
20211204 1
 
< 0.1%
20080630 1
 
< 0.1%
20170630 1
 
< 0.1%
20161231 1
 
< 0.1%
Other values (17) 17
 
0.2%
(Missing) 9972
99.7%
ValueCountFrequency (%)
20080630 1
< 0.1%
20081129 1
< 0.1%
20081220 1
< 0.1%
20091230 1
< 0.1%
20100629 1
< 0.1%
20101125 1
< 0.1%
20101126 1
< 0.1%
20101231 2
< 0.1%
20111101 1
< 0.1%
20111231 1
< 0.1%
ValueCountFrequency (%)
20230131 1
< 0.1%
20211204 1
< 0.1%
20210831 1
< 0.1%
20201223 1
< 0.1%
20200901 1
< 0.1%
20200701 1
< 0.1%
20190331 1
< 0.1%
20170630 1
< 0.1%
20161231 1
< 0.1%
20151010 1
< 0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing9993
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20160530
Minimum20070920
Maximum20200813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:42.210363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070920
5-th percentile20079709
Q120140374
median20190305
Q320190464
95-th percentile20197753
Maximum20200813
Range129893
Interquartile range (IQR)50090.5

Descriptive statistics

Standard deviation52231.877
Coefficient of variation (CV)0.0025907988
Kurtosis-0.20225613
Mean20160530
Median Absolute Deviation (MAD)9775
Skewness-1.2863365
Sum1.4112371 × 108
Variance2.728169 × 109
MonotonicityNot monotonic
2024-04-22T09:38:42.333781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20190613 1
 
< 0.1%
20100217 1
 
< 0.1%
20190315 1
 
< 0.1%
20070920 1
 
< 0.1%
20180530 1
 
< 0.1%
20200813 1
 
< 0.1%
20190305 1
 
< 0.1%
(Missing) 9993
99.9%
ValueCountFrequency (%)
20070920 1
< 0.1%
20100217 1
< 0.1%
20180530 1
< 0.1%
20190305 1
< 0.1%
20190315 1
< 0.1%
20190613 1
< 0.1%
20200813 1
< 0.1%
ValueCountFrequency (%)
20200813 1
< 0.1%
20190613 1
< 0.1%
20190315 1
< 0.1%
20190305 1
< 0.1%
20180530 1
< 0.1%
20100217 1
< 0.1%
20070920 1
< 0.1%

소재지전화
Text

MISSING 

Distinct4613
Distinct (%)98.1%
Missing5299
Missing (%)53.0%
Memory size156.2 KiB
2024-04-22T09:38:42.577465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.29866
Min length1

Characters and Unicode

Total characters53115
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

Unique4526 ?
Unique (%)96.3%

Sample

1st row051-853-0511
2nd row504-7447
3rd row051)634-5668
4th row051-610-1937
5th row802-5895
ValueCountFrequency (%)
051 312
 
5.9%
245 17
 
0.3%
244 13
 
0.2%
462 12
 
0.2%
464 12
 
0.2%
441 11
 
0.2%
465 11
 
0.2%
466 10
 
0.2%
070 10
 
0.2%
255 9
 
0.2%
Other values (4701) 4914
92.2%
2024-04-22T09:38:43.045374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8269
15.6%
- 7394
13.9%
5 6570
12.4%
1 6049
11.4%
7 3922
7.4%
8 3778
7.1%
6 3640
6.9%
2 3623
6.8%
4 3585
6.7%
3 2991
 
5.6%
Other values (9) 3294
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45010
84.7%
Dash Punctuation 7394
 
13.9%
Space Separator 638
 
1.2%
Close Punctuation 51
 
0.1%
Math Symbol 12
 
< 0.1%
Other Punctuation 9
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8269
18.4%
5 6570
14.6%
1 6049
13.4%
7 3922
8.7%
8 3778
8.4%
6 3640
8.1%
2 3623
8.0%
4 3585
8.0%
3 2991
 
6.6%
9 2583
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
/ 2
 
22.2%
; 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
~ 11
91.7%
+ 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 7394
100.0%
Space Separator
ValueCountFrequency (%)
638
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8269
15.6%
- 7394
13.9%
5 6570
12.4%
1 6049
11.4%
7 3922
7.4%
8 3778
7.1%
6 3640
6.9%
2 3623
6.8%
4 3585
6.7%
3 2991
 
5.6%
Other values (9) 3294
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8269
15.6%
- 7394
13.9%
5 6570
12.4%
1 6049
11.4%
7 3922
7.4%
8 3778
7.1%
6 3640
6.9%
2 3623
6.8%
4 3585
6.7%
3 2991
 
5.6%
Other values (9) 3294
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct495
Distinct (%)18.7%
Missing7355
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean607935.67
Minimum110530
Maximum617832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:43.211549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110530
5-th percentile600082.2
Q1602819
median607830
Q3614030
95-th percentile614854
Maximum617832
Range507302
Interquartile range (IQR)11211

Descriptive statistics

Standard deviation11033.805
Coefficient of variation (CV)0.018149626
Kurtosis1563.5478
Mean607935.67
Median Absolute Deviation (MAD)6015
Skewness-34.802917
Sum1.6079899 × 109
Variance1.2174486 × 108
MonotonicityNot monotonic
2024-04-22T09:38:43.367733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607060 108
 
1.1%
614030 98
 
1.0%
608020 80
 
0.8%
614040 79
 
0.8%
614050 58
 
0.6%
607120 53
 
0.5%
614020 50
 
0.5%
607100 47
 
0.5%
614010 39
 
0.4%
601060 39
 
0.4%
Other values (485) 1994
 
19.9%
(Missing) 7355
73.6%
ValueCountFrequency (%)
110530 1
 
< 0.1%
530350 1
 
< 0.1%
600010 1
 
< 0.1%
600011 4
< 0.1%
600012 5
0.1%
600013 7
0.1%
600014 8
0.1%
600015 4
< 0.1%
600016 1
 
< 0.1%
600021 1
 
< 0.1%
ValueCountFrequency (%)
617832 1
 
< 0.1%
614882 2
 
< 0.1%
614880 1
 
< 0.1%
614879 1
 
< 0.1%
614878 3
 
< 0.1%
614876 8
0.1%
614874 1
 
< 0.1%
614873 8
0.1%
614872 2
 
< 0.1%
614871 4
< 0.1%

소재지전체주소
Text

MISSING 

Distinct5923
Distinct (%)83.4%
Missing2894
Missing (%)28.9%
Memory size156.2 KiB
2024-04-22T09:38:43.743496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length27.390656
Min length6

Characters and Unicode

Total characters194638
Distinct characters537
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5360 ?
Unique (%)75.4%

Sample

1st row부산광역시 동래구 사직동 99번지 9호 궁전주택
2nd row부산광역시 동래구 온천동 477번지 5호 동래퀸즈W
3rd row부산광역시 남구 용호동 176-30 엘지메트로시티
4th row부산광역시 부산진구 부암동 338번지 6호
5th row부산광역시 동래구 사직2동 92번지 18호
ValueCountFrequency (%)
부산광역시 7014
 
17.3%
부산진구 2282
 
5.6%
동래구 1374
 
3.4%
남구 1194
 
2.9%
1호 834
 
2.1%
동구 721
 
1.8%
중구 686
 
1.7%
대연동 503
 
1.2%
전포동 467
 
1.1%
부전동 428
 
1.1%
Other values (5151) 25108
61.8%
2024-04-22T09:38:44.267074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33599
 
17.3%
동 10346
 
5.3%
부 10244
 
5.3%
산 9639
 
5.0%
1 8365
 
4.3%
시 7331
 
3.8%
광 7115
 
3.7%
구 7071
 
3.6%
역 7055
 
3.6%
호 6561
 
3.4%
Other values (527) 87312
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120773
62.1%
Decimal Number 38256
 
19.7%
Space Separator 33599
 
17.3%
Dash Punctuation 1027
 
0.5%
Uppercase Letter 671
 
0.3%
Other Punctuation 126
 
0.1%
Lowercase Letter 91
 
< 0.1%
Open Punctuation 34
 
< 0.1%
Close Punctuation 34
 
< 0.1%
Letter Number 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10346
 
8.6%
부 10244
 
8.5%
산 9639
 
8.0%
시 7331
 
6.1%
광 7115
 
5.9%
구 7071
 
5.9%
역 7055
 
5.8%
호 6561
 
5.4%
지 6422
 
5.3%
번 6004
 
5.0%
Other values (460) 42985
35.6%
Uppercase Letter
ValueCountFrequency (%)
S 100
14.9%
K 96
14.3%
B 70
10.4%
A 52
 
7.7%
T 45
 
6.7%
H 40
 
6.0%
G 33
 
4.9%
C 32
 
4.8%
U 29
 
4.3%
L 25
 
3.7%
Other values (15) 149
22.2%
Lowercase Letter
ValueCountFrequency (%)
e 21
23.1%
l 16
17.6%
i 12
13.2%
o 11
12.1%
v 6
 
6.6%
s 5
 
5.5%
c 4
 
4.4%
k 3
 
3.3%
a 3
 
3.3%
n 2
 
2.2%
Other values (8) 8
 
8.8%
Decimal Number
ValueCountFrequency (%)
1 8365
21.9%
2 5396
14.1%
3 4236
11.1%
4 3530
9.2%
0 3451
9.0%
5 3275
 
8.6%
6 2897
 
7.6%
7 2570
 
6.7%
8 2431
 
6.4%
9 2105
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 86
68.3%
/ 20
 
15.9%
& 6
 
4.8%
@ 6
 
4.8%
. 5
 
4.0%
· 3
 
2.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 16
94.1%
Ⅰ 1
 
5.9%
Math Symbol
ValueCountFrequency (%)
~ 8
80.0%
∥ 2
 
20.0%
Space Separator
ValueCountFrequency (%)
33599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1027
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120773
62.1%
Common 73086
37.5%
Latin 779
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10346
 
8.6%
부 10244
 
8.5%
산 9639
 
8.0%
시 7331
 
6.1%
광 7115
 
5.9%
구 7071
 
5.9%
역 7055
 
5.8%
호 6561
 
5.4%
지 6422
 
5.3%
번 6004
 
5.0%
Other values (460) 42985
35.6%
Latin
ValueCountFrequency (%)
S 100
 
12.8%
K 96
 
12.3%
B 70
 
9.0%
A 52
 
6.7%
T 45
 
5.8%
H 40
 
5.1%
G 33
 
4.2%
C 32
 
4.1%
U 29
 
3.7%
L 25
 
3.2%
Other values (35) 257
33.0%
Common
ValueCountFrequency (%)
33599
46.0%
1 8365
 
11.4%
2 5396
 
7.4%
3 4236
 
5.8%
4 3530
 
4.8%
0 3451
 
4.7%
5 3275
 
4.5%
6 2897
 
4.0%
7 2570
 
3.5%
8 2431
 
3.3%
Other values (12) 3336
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120773
62.1%
ASCII 73843
37.9%
Number Forms 17
 
< 0.1%
None 3
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33599
45.5%
1 8365
 
11.3%
2 5396
 
7.3%
3 4236
 
5.7%
4 3530
 
4.8%
0 3451
 
4.7%
5 3275
 
4.4%
6 2897
 
3.9%
7 2570
 
3.5%
8 2431
 
3.3%
Other values (53) 4093
 
5.5%
Hangul
ValueCountFrequency (%)
동 10346
 
8.6%
부 10244
 
8.5%
산 9639
 
8.0%
시 7331
 
6.1%
광 7115
 
5.9%
구 7071
 
5.9%
역 7055
 
5.8%
호 6561
 
5.4%
지 6422
 
5.3%
번 6004
 
5.0%
Other values (460) 42985
35.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 16
94.1%
Ⅰ 1
 
5.9%
None
ValueCountFrequency (%)
· 3
100.0%
Math Operators
ValueCountFrequency (%)
∥ 2
100.0%

도로명전체주소
Text

MISSING 

Distinct9338
Distinct (%)96.5%
Missing325
Missing (%)3.2%
Memory size156.2 KiB
2024-04-22T09:38:44.651516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length35.316693
Min length14

Characters and Unicode

Total characters341689
Distinct characters599
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9052 ?
Unique (%)93.6%

Sample

1st row부산광역시 동래구 아시아드대로133번길 25, A동 401호 (사직동, 궁전주택)
2nd row부산광역시 동래구 동래로 9, 103동 703호 (온천동, 동래퀸즈W)
3rd row부산광역시 남구 분포로 113, 237동 701호 (용호동, 엘지메트로시티)
4th row부산광역시 부산진구 동평로119번가길 1-1 (부암동)
5th row부산광역시 동래구 사직로 56 (사직동)
ValueCountFrequency (%)
부산광역시 9672
 
15.3%
부산진구 3330
 
5.3%
동래구 1761
 
2.8%
남구 1619
 
2.6%
중구 1010
 
1.6%
동구 945
 
1.5%
1층 772
 
1.2%
대연동 674
 
1.1%
부전동 632
 
1.0%
전포동 586
 
0.9%
Other values (7777) 42259
66.8%
2024-04-22T09:38:45.230978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53604
 
15.7%
동 16205
 
4.7%
부 14650
 
4.3%
1 14616
 
4.3%
산 13557
 
4.0%
, 10983
 
3.2%
시 10388
 
3.0%
광 10164
 
3.0%
구 10004
 
2.9%
역 9732
 
2.8%
Other values (589) 177786
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193579
56.7%
Decimal Number 60846
 
17.8%
Space Separator 53604
 
15.7%
Other Punctuation 11027
 
3.2%
Close Punctuation 9696
 
2.8%
Open Punctuation 9695
 
2.8%
Dash Punctuation 2073
 
0.6%
Uppercase Letter 1016
 
0.3%
Lowercase Letter 106
 
< 0.1%
Math Symbol 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16205
 
8.4%
부 14650
 
7.6%
산 13557
 
7.0%
시 10388
 
5.4%
광 10164
 
5.3%
구 10004
 
5.2%
역 9732
 
5.0%
로 9571
 
4.9%
호 5412
 
2.8%
길 4836
 
2.5%
Other values (517) 89060
46.0%
Uppercase Letter
ValueCountFrequency (%)
B 177
17.4%
A 155
15.3%
S 117
11.5%
K 105
10.3%
C 66
 
6.5%
H 45
 
4.4%
T 40
 
3.9%
G 40
 
3.9%
D 36
 
3.5%
L 36
 
3.5%
Other values (15) 199
19.6%
Lowercase Letter
ValueCountFrequency (%)
e 23
21.7%
l 17
16.0%
o 14
13.2%
i 11
10.4%
v 6
 
5.7%
s 5
 
4.7%
c 5
 
4.7%
a 4
 
3.8%
d 3
 
2.8%
n 3
 
2.8%
Other values (10) 15
14.2%
Decimal Number
ValueCountFrequency (%)
1 14616
24.0%
2 9059
14.9%
0 7992
13.1%
3 6968
11.5%
4 4882
 
8.0%
5 4410
 
7.2%
6 3728
 
6.1%
7 3320
 
5.5%
9 2994
 
4.9%
8 2877
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 10983
99.6%
. 21
 
0.2%
/ 14
 
0.1%
· 3
 
< 0.1%
& 3
 
< 0.1%
@ 2
 
< 0.1%
' 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 22
84.6%
∥ 2
 
7.7%
> 1
 
3.8%
< 1
 
3.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 20
95.2%
Ⅰ 1
 
4.8%
Space Separator
ValueCountFrequency (%)
53604
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9696
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2073
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193579
56.7%
Common 146967
43.0%
Latin 1143
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16205
 
8.4%
부 14650
 
7.6%
산 13557
 
7.0%
시 10388
 
5.4%
광 10164
 
5.3%
구 10004
 
5.2%
역 9732
 
5.0%
로 9571
 
4.9%
호 5412
 
2.8%
길 4836
 
2.5%
Other values (517) 89060
46.0%
Latin
ValueCountFrequency (%)
B 177
15.5%
A 155
13.6%
S 117
 
10.2%
K 105
 
9.2%
C 66
 
5.8%
H 45
 
3.9%
T 40
 
3.5%
G 40
 
3.5%
D 36
 
3.1%
L 36
 
3.1%
Other values (37) 326
28.5%
Common
ValueCountFrequency (%)
53604
36.5%
1 14616
 
9.9%
, 10983
 
7.5%
) 9696
 
6.6%
( 9695
 
6.6%
2 9059
 
6.2%
0 7992
 
5.4%
3 6968
 
4.7%
4 4882
 
3.3%
5 4410
 
3.0%
Other values (15) 15062
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193579
56.7%
ASCII 148084
43.3%
Number Forms 21
 
< 0.1%
None 3
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53604
36.2%
1 14616
 
9.9%
, 10983
 
7.4%
) 9696
 
6.5%
( 9695
 
6.5%
2 9059
 
6.1%
0 7992
 
5.4%
3 6968
 
4.7%
4 4882
 
3.3%
5 4410
 
3.0%
Other values (58) 16179
 
10.9%
Hangul
ValueCountFrequency (%)
동 16205
 
8.4%
부 14650
 
7.6%
산 13557
 
7.0%
시 10388
 
5.4%
광 10164
 
5.3%
구 10004
 
5.2%
역 9732
 
5.0%
로 9571
 
4.9%
호 5412
 
2.8%
길 4836
 
2.5%
Other values (517) 89060
46.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 20
95.2%
Ⅰ 1
 
4.8%
None
ValueCountFrequency (%)
· 3
100.0%
Math Operators
ValueCountFrequency (%)
∥ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1473
Distinct (%)18.6%
Missing2067
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean199706.92
Minimum7955
Maximum617832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:45.417991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7955
5-th percentile47192
Q147703
median48586
Q3600802
95-th percentile614836
Maximum617832
Range609877
Interquartile range (IQR)553099

Descriptive statistics

Standard deviation249087.02
Coefficient of variation (CV)1.2472628
Kurtosis-0.92948452
Mean199706.92
Median Absolute Deviation (MAD)1224
Skewness1.0344622
Sum1.584275 × 109
Variance6.2044343 × 1010
MonotonicityNot monotonic
2024-04-22T09:38:45.564720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 96
 
1.0%
47247 68
 
0.7%
47286 48
 
0.5%
47295 47
 
0.5%
47293 47
 
0.5%
48516 46
 
0.5%
47292 46
 
0.5%
48742 38
 
0.4%
48739 37
 
0.4%
48498 35
 
0.4%
Other values (1463) 7425
74.2%
(Missing) 2067
 
20.7%
ValueCountFrequency (%)
7955 1
 
< 0.1%
46025 1
 
< 0.1%
47100 1
 
< 0.1%
47101 5
0.1%
47102 5
0.1%
47104 5
0.1%
47105 2
 
< 0.1%
47108 3
 
< 0.1%
47109 7
0.1%
47110 8
0.1%
ValueCountFrequency (%)
617832 1
 
< 0.1%
614897 1
 
< 0.1%
614894 3
 
< 0.1%
614891 4
 
< 0.1%
614883 2
 
< 0.1%
614882 3
 
< 0.1%
614881 2
 
< 0.1%
614879 1
 
< 0.1%
614876 10
0.1%
614875 2
 
< 0.1%

사업장명
Text

Distinct9780
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T09:38:45.960849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length6.5596
Min length1

Characters and Unicode

Total characters65596
Distinct characters1105
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9579 ?
Unique (%)95.8%

Sample

1st row데이지
2nd row바이올리(Byoli)
3rd row씨뛰브
4th row엘비생약식품
5th row(주)동진항공여행사
ValueCountFrequency (%)
주식회사 344
 
2.8%
주 37
 
0.3%
더 23
 
0.2%
company 19
 
0.2%
shop 17
 
0.1%
스튜디오 15
 
0.1%
15
 
0.1%
the 13
 
0.1%
컴퍼니 13
 
0.1%
korea 12
 
0.1%
Other values (10760) 11598
95.8%
2024-04-22T09:38:46.528821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2110
 
3.2%
) 2070
 
3.2%
( 2069
 
3.2%
이 2045
 
3.1%
스 1630
 
2.5%
리 1021
 
1.6%
주 1020
 
1.6%
사 838
 
1.3%
e 795
 
1.2%
아 762
 
1.2%
Other values (1095) 51236
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46137
70.3%
Lowercase Letter 6568
 
10.0%
Uppercase Letter 5646
 
8.6%
Space Separator 2110
 
3.2%
Close Punctuation 2072
 
3.2%
Open Punctuation 2071
 
3.2%
Decimal Number 464
 
0.7%
Other Punctuation 322
 
0.5%
Other Symbol 92
 
0.1%
Dash Punctuation 88
 
0.1%
Other values (4) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2045
 
4.4%
스 1630
 
3.5%
리 1021
 
2.2%
주 1020
 
2.2%
사 838
 
1.8%
아 762
 
1.7%
라 628
 
1.4%
에 588
 
1.3%
드 582
 
1.3%
트 564
 
1.2%
Other values (1003) 36459
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 795
12.1%
o 712
 
10.8%
a 573
 
8.7%
n 450
 
6.9%
i 448
 
6.8%
l 398
 
6.1%
r 384
 
5.8%
t 355
 
5.4%
s 326
 
5.0%
m 279
 
4.2%
Other values (16) 1848
28.1%
Uppercase Letter
ValueCountFrequency (%)
O 467
 
8.3%
A 424
 
7.5%
E 389
 
6.9%
S 383
 
6.8%
N 337
 
6.0%
M 328
 
5.8%
L 326
 
5.8%
I 286
 
5.1%
T 284
 
5.0%
C 270
 
4.8%
Other values (16) 2152
38.1%
Other Punctuation
ValueCountFrequency (%)
. 144
44.7%
& 87
27.0%
' 30
 
9.3%
, 28
 
8.7%
# 8
 
2.5%
: 7
 
2.2%
/ 6
 
1.9%
· 3
 
0.9%
＆ 3
 
0.9%
* 2
 
0.6%
Other values (4) 4
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 94
20.3%
2 80
17.2%
0 65
14.0%
5 48
10.3%
4 44
9.5%
9 38
8.2%
3 30
 
6.5%
6 25
 
5.4%
7 24
 
5.2%
8 16
 
3.4%
Math Symbol
ValueCountFrequency (%)
+ 1
25.0%
= 1
25.0%
< 1
25.0%
> 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 2070
99.9%
〉 1
 
< 0.1%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2069
99.9%
〈 1
 
< 0.1%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2110
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46209
70.4%
Latin 12214
 
18.6%
Common 7153
 
10.9%
Han 18
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2045
 
4.4%
스 1630
 
3.5%
리 1021
 
2.2%
주 1020
 
2.2%
사 838
 
1.8%
아 762
 
1.6%
라 628
 
1.4%
에 588
 
1.3%
드 582
 
1.3%
트 564
 
1.2%
Other values (987) 36531
79.1%
Latin
ValueCountFrequency (%)
e 795
 
6.5%
o 712
 
5.8%
a 573
 
4.7%
O 467
 
3.8%
n 450
 
3.7%
i 448
 
3.7%
A 424
 
3.5%
l 398
 
3.3%
E 389
 
3.2%
r 384
 
3.1%
Other values (42) 7174
58.7%
Common
ValueCountFrequency (%)
2110
29.5%
) 2070
28.9%
( 2069
28.9%
. 144
 
2.0%
1 94
 
1.3%
- 88
 
1.2%
& 87
 
1.2%
2 80
 
1.1%
0 65
 
0.9%
5 48
 
0.7%
Other values (29) 298
 
4.2%
Han
ValueCountFrequency (%)
愛 3
16.7%
家 2
 
11.1%
淡 1
 
5.6%
李 1
 
5.6%
德 1
 
5.6%
智 1
 
5.6%
度 1
 
5.6%
衣 1
 
5.6%
美 1
 
5.6%
花 1
 
5.6%
Other values (5) 5
27.8%
Hiragana
ValueCountFrequency (%)
な 1
50.0%
る 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46117
70.3%
ASCII 19355
29.5%
None 100
 
0.2%
CJK 17
 
< 0.1%
Punctuation 4
 
< 0.1%
Hiragana 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2110
 
10.9%
) 2070
 
10.7%
( 2069
 
10.7%
e 795
 
4.1%
o 712
 
3.7%
a 573
 
3.0%
O 467
 
2.4%
n 450
 
2.3%
i 448
 
2.3%
A 424
 
2.2%
Other values (75) 9237
47.7%
Hangul
ValueCountFrequency (%)
이 2045
 
4.4%
스 1630
 
3.5%
리 1021
 
2.2%
주 1020
 
2.2%
사 838
 
1.8%
아 762
 
1.7%
라 628
 
1.4%
에 588
 
1.3%
드 582
 
1.3%
트 564
 
1.2%
Other values (986) 36439
79.0%
None
ValueCountFrequency (%)
㈜ 92
92.0%
· 3
 
3.0%
＆ 3
 
3.0%
〈 1
 
1.0%
〉 1
 
1.0%
CJK
ValueCountFrequency (%)
愛 3
17.6%
家 2
11.8%
淡 1
 
5.9%
德 1
 
5.9%
智 1
 
5.9%
度 1
 
5.9%
衣 1
 
5.9%
美 1
 
5.9%
花 1
 
5.9%
潤 1
 
5.9%
Other values (4) 4
23.5%
Punctuation
ValueCountFrequency (%)
’ 3
75.0%
′ 1
 
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Hiragana
ValueCountFrequency (%)
な 1
50.0%
る 1
50.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0165031 × 1013
Minimum2.007071 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:46.697529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007071 × 1013
5-th percentile2.0100121 × 1013
Q12.0140622 × 1013
median2.0180109 × 1013
Q32.0191121 × 1013
95-th percentile2.0201026 × 1013
Maximum2.0201231 × 1013
Range1.3052103 × 1011
Interquartile range (IQR)5.0499531 × 1010

Descriptive statistics

Standard deviation3.4807848 × 1010
Coefficient of variation (CV)0.001726149
Kurtosis-0.45930794
Mean2.0165031 × 1013
Median Absolute Deviation (MAD)2.0301447 × 1010
Skewness-0.82756543
Sum2.0165031 × 1017
Variance1.2115863 × 1021
MonotonicityNot monotonic
2024-04-22T09:38:46.884617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191216161424 1
 
< 0.1%
20171227182709 1
 
< 0.1%
20150623175511 1
 
< 0.1%
20110304174007 1
 
< 0.1%
20190215111918 1
 
< 0.1%
20170115130635 1
 
< 0.1%
20190708142701 1
 
< 0.1%
20200702135639 1
 
< 0.1%
20180817174204 1
 
< 0.1%
20150413111311 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
20070710110323 1
< 0.1%
20070710135528 1
< 0.1%
20070810134119 1
< 0.1%
20070813110410 1
< 0.1%
20070814111748 1
< 0.1%
20070911094849 1
< 0.1%
20070918162625 1
< 0.1%
20071004163944 1
< 0.1%
20071010173022 1
< 0.1%
20071017104445 1
< 0.1%
ValueCountFrequency (%)
20201231141444 1
< 0.1%
20201231141400 1
< 0.1%
20201231141307 1
< 0.1%
20201231115911 1
< 0.1%
20201231110008 1
< 0.1%
20201231105658 1
< 0.1%
20201231100954 1
< 0.1%
20201231100659 1
< 0.1%
20201231092216 1
< 0.1%
20201231092122 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8266 
U
1734 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8266
82.7%
U 1734
 
17.3%

Length

2024-04-22T09:38:47.025921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:38:47.118553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8266
82.7%
u 1734
 
17.3%

데이터갱신일자
Date

Distinct996
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-22T09:38:47.244002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:38:47.425621image/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
4478 
기타
2171 
종합몰
1344 
건강/식품
884 
레져/여행/공연
 
354
Other values (7)
769 

Length

Max length11
Median length9
Mean length7.0795
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row의류/패션/잡화/뷰티
3rd row의류/패션/잡화/뷰티
4th row건강/식품
5th row레져/여행/공연

Common Values

ValueCountFrequency (%)
의류/패션/잡화/뷰티 4478
44.8%
기타 2171
21.7%
종합몰 1344
 
13.4%
건강/식품 884
 
8.8%
레져/여행/공연 354
 
3.5%
교육/도서/완구/오락 240
 
2.4%
컴퓨터/사무용품 167
 
1.7%
가전 139
 
1.4%
가구/수납용품 103
 
1.0%
자동차/자동차용품 88
 
0.9%
Other values (2) 32
 
0.3%

Length

2024-04-22T09:38:47.578957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의류/패션/잡화/뷰티 4478
44.8%
기타 2171
21.7%
종합몰 1344
 
13.4%
건강/식품 884
 
8.8%
레져/여행/공연 354
 
3.5%
교육/도서/완구/오락 240
 
2.4%
컴퓨터/사무용품 167
 
1.7%
가전 139
 
1.4%
가구/수납용품 103
 
1.0%
자동차/자동차용품 88
 
0.9%
Other values (2) 32
 
0.3%

좌표정보(x)
Real number (ℝ)

MISSING  SKEWED 

Distinct6036
Distinct (%)62.1%
Missing280
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean387663.13
Minimum144976.39
Maximum398716.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:47.708976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144976.39
5-th percentile384172.49
Q1385801.65
median387753.72
Q3389232.18
95-th percentile391769.93
Maximum398716.5
Range253740.11
Interquartile range (IQR)3430.5281

Descriptive statistics

Standard deviation4765.6028
Coefficient of variation (CV)0.012293155
Kurtosis1487.6481
Mean387663.13
Median Absolute Deviation (MAD)1734.5885
Skewness-33.421705
Sum3.7680857 × 109
Variance22710970
MonotonicityNot monotonic
2024-04-22T09:38:47.865315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387618.822819234 61
 
0.6%
391411.212179843 55
 
0.5%
392474.578116018 55
 
0.5%
388140.891260505 53
 
0.5%
387768.514676203 49
 
0.5%
387748.383011444 36
 
0.4%
387816.362564942 28
 
0.3%
389816.233000769 27
 
0.3%
387144.17668815 27
 
0.3%
387225.613588405 26
 
0.3%
Other values (6026) 9303
93.0%
(Missing) 280
 
2.8%
ValueCountFrequency (%)
144976.391329 1
< 0.1%
188149.329645925 1
< 0.1%
199956.475545587 1
< 0.1%
202619.377218099 1
< 0.1%
376253.214263864 1
< 0.1%
378355.352630585 1
< 0.1%
380128.339808636 1
< 0.1%
380788.411423587 1
< 0.1%
380957.314385 1
< 0.1%
382814.989823135 2
< 0.1%
ValueCountFrequency (%)
398716.499369453 1
 
< 0.1%
398251.781075537 1
 
< 0.1%
393469.005202261 1
 
< 0.1%
393449.693784 5
 
0.1%
393163.706837417 26
0.3%
393000.17804457 1
 
< 0.1%
392995.616390452 2
 
< 0.1%
392970.505620613 1
 
< 0.1%
392943.519664196 4
 
< 0.1%
392903.43516704 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING  SKEWED 

Distinct6044
Distinct (%)62.2%
Missing280
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean185149.34
Minimum143707.48
Maximum471712.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:38:48.006130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143707.48
5-th percentile178871.88
Q1182068.04
median185116.06
Q3187405.75
95-th percentile191788.42
Maximum471712.45
Range328004.97
Interquartile range (IQR)5337.7156

Descriptive statistics

Standard deviation6289.0706
Coefficient of variation (CV)0.033967556
Kurtosis1102.9658
Mean185149.34
Median Absolute Deviation (MAD)2709.1924
Skewness25.335015
Sum1.7996516 × 109
Variance39552409
MonotonicityNot monotonic
2024-04-22T09:38:48.149833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.478853367 61
 
0.6%
184052.409245407 55
 
0.5%
184063.252176119 53
 
0.5%
184371.452375082 49
 
0.5%
183052.21115244 48
 
0.5%
185533.437357236 36
 
0.4%
186316.00373302 28
 
0.3%
193329.605871168 27
 
0.3%
190534.020672018 27
 
0.3%
180257.324526174 26
 
0.3%
Other values (6034) 9310
93.1%
(Missing) 280
 
2.8%
ValueCountFrequency (%)
143707.482706 1
 
< 0.1%
174683.069423816 11
0.1%
174764.125702762 4
 
< 0.1%
175140.099221406 11
0.1%
175490.845895 1
 
< 0.1%
175520.650585192 1
 
< 0.1%
175544.19235211 1
 
< 0.1%
175548.363291157 2
 
< 0.1%
175580.741380931 8
0.1%
175603.216072249 2
 
< 0.1%
ValueCountFrequency (%)
471712.452850037 1
< 0.1%
454134.483273144 1
< 0.1%
448604.893483191 1
< 0.1%
204309.212704419 1
< 0.1%
195148.814352498 1
< 0.1%
194175.406418151 1
< 0.1%
193809.960075181 1
< 0.1%
193778.555463 1
< 0.1%
193611.459802136 1
< 0.1%
193551.167896938 2
< 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 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9421 
기타, 인터넷
 
121
기타
 
107
<NA>
 
82
인터넷, 기타
 
42
Other values (43)
 
227

Length

Max length26
Median length3
Mean length3.2993
Min length2

Unique

Unique16 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 9421
94.2%
기타, 인터넷 121
 
1.2%
기타 107
 
1.1%
<NA> 82
 
0.8%
인터넷, 기타 42
 
0.4%
TV홈쇼핑, 인터넷 24
 
0.2%
카다로그, 인터넷 21
 
0.2%
TV홈쇼핑 18
 
0.2%
인터넷, TV홈쇼핑 16
 
0.2%
기타, 신문잡지, 카다로그, 인터넷 15
 
0.1%
Other values (38) 133
 
1.3%

Length

2024-04-22T09:38:48.319989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9775
92.6%
기타 349
 
3.3%
카다로그 141
 
1.3%
tv홈쇼핑 112
 
1.1%
신문잡지 100
 
0.9%
na 82
 
0.8%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
1787417875통신판매업08_26_04_P3300000201933000993020072720191216<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 99번지 9호 궁전주택부산광역시 동래구 아시아드대로133번길 25, A동 401호 (사직동, 궁전주택)47875데이지20191216161424I2019-12-18 00:23:26.0기타387966.819964190475.492407<NA><NA><NA>인터넷<NA>
1805118052통신판매업08_26_04_P3300000202033000993020012620200220<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 477번지 5호 동래퀸즈W부산광역시 동래구 동래로 9, 103동 703호 (온천동, 동래퀸즈W)47715바이올리(Byoli)20200220095113I2020-02-22 00:23:23.0의류/패션/잡화/뷰티389114.865218192486.215061<NA><NA><NA>인터넷<NA>
2599725998통신판매업08_26_04_P3310000202033101193020056920201218<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 용호동 176-30 엘지메트로시티부산광역시 남구 분포로 113, 237동 701호 (용호동, 엘지메트로시티)48516씨뛰브20201218175329I2020-12-20 00:23:06.0의류/패션/잡화/뷰티392474.578116183052.211152<NA><NA><NA>인터넷<NA>
1601716018통신판매업08_26_04_P3290000201032900853020050920101019<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-853-0511<NA>614090부산광역시 부산진구 부암동 338번지 6호부산광역시 부산진구 동평로119번가길 1-1 (부암동)<NA>엘비생약식품20170606123352I2018-08-31 23:59:59.0건강/식품386019.105012187203.569485<NA><NA><NA>인터넷<NA>
1906119062통신판매업08_26_04_P3300000200833000643021027220080731<NA>1영업/정상1정상영업<NA><NA><NA><NA>504-7447<NA>607815부산광역시 동래구 사직2동 92번지 18호부산광역시 동래구 사직로 56 (사직동)607817(주)동진항공여행사20130419095138I2018-08-31 23:59:59.0레져/여행/공연387517.710562190440.458328<NA><NA><NA>인터넷<NA>
2527125272통신판매업08_26_04_P3310000201833101003020015420180913<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 문현동 351번지 7호 세영맨션부산광역시 남구 장고개로 108, 1동 101호 (문현동, 세영맨션)48466무드둡20181030185247U2018-11-01 02:37:47.0기타388575.832098183731.314411<NA><NA><NA>인터넷<NA>
60296030통신판매업08_26_04_P3270000201232700863020004320120306<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051)634-5668<NA><NA><NA>부산광역시 동구 범일로 76 (범일동)601806풀잎우리옷20130903150152I2018-08-31 23:59:59.0의류/패션/잡화/뷰티387657.321661183883.234934<NA><NA><NA>인터넷<NA>
1835318354통신판매업08_26_04_P3300000201833000993020038320180814<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 620번지 1호 동일파크맨션부산광역시 동래구 쇠미로 91, 3동 408호 (사직동, 동일파크맨션)47871콩마트20180814103058I2018-08-31 23:59:59.0종합몰387181.580146191081.749144<NA><NA><NA>인터넷<NA>
2652126522통신판매업08_26_04_P3310000201333100883020006820130322<NA>3폐업3폐업처리20140313<NA><NA><NA>051-610-1937<NA><NA><NA>부산광역시 남구 수영로 312, 1937호 (대연동, 21센츄리빌딩)608743Melting flora(멜팅플로라)20140313172013I2018-08-31 23:59:59.0의류/패션/잡화/뷰티391411.21218184052.409245<NA><NA><NA>인터넷<NA>
2056220563통신판매업08_26_04_P3300000201433000793020030320141204<NA>3폐업3폐업처리20150306<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 금강공원로20번길 46, 다동 101호 (온천동, 르메이르동래타운)607831다다연20150309104757I2018-08-31 23:59:59.0기타389629.528082193303.809737<NA><NA><NA>인터넷<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
2561525616통신판매업08_26_04_P3310000201733100883020023320170529<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-997-9086<NA><NA><NA>부산광역시 남구 못골번영로 22 (대연동, 1층 선인장)48439선인장20170530165859I2018-08-31 23:59:59.0의류/패션/잡화/뷰티390334.267878183991.211831<NA><NA><NA>인터넷<NA>
1561615617통신판매업08_26_04_P3290000201332901073020028620130620<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-818-1050<NA><NA><NA>부산광역시 부산진구 서전로10번길 61 (부전동, 쥬디스태화신관6층)614845수빈뷰티아카데미학원20161226170022I2018-08-31 23:59:59.0기타387650.685341185939.25556<NA><NA><NA>인터넷, 기타<NA>
2556825569통신판매업08_26_04_P3310000201733100883020022820170526<NA>1영업/정상1정상영업<NA><NA><NA><NA>1522-6325<NA><NA><NA>부산광역시 남구 진남로 194-7 (문현동)48423케이크린 영남사업본부20170529095653I2018-08-31 23:59:59.0기타389294.598015184682.597674<NA><NA><NA>신문잡지, 카다로그, 인터넷<NA>
1644016441통신판매업08_26_04_P3290000201232900853020034920120716<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>070-4322-5474<NA><NA><NA>부산광역시 부산진구 동천로85번길 7, 3층 (부전동)614845(주)그리움20140711102923I2018-08-31 23:59:59.0기타387802.89025186063.900781<NA><NA><NA>기타, 신문잡지, 카다로그, 인터넷<NA>
1107511076통신판매업08_26_04_P3290000201832901283020060320180717<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-925-9502<NA><NA>부산광역시 부산진구 양정동 279번지 5호 셀렉스빌딩부산광역시 부산진구 거제대로 86, 셀렉스빌딩 5층 (양정동)47211(주)티티비20180809101058I2018-08-31 23:59:59.0건강/식품388334.733164188297.735396<NA><NA><NA>인터넷<NA>
29532954통신판매업08_26_04_P3260000200932600663020000820090316<NA>1영업/정상1정상영업<NA><NA><NA><NA>242-1559<NA>602802부산광역시 서구 남부민2동 428번지 302호 101호부산광역시 서구 천해로 34, 101호 (남부민동)<NA>아프리카20090316163105I2018-08-31 23:59:59.0기타383793.916093178006.276828<NA><NA><NA>인터넷<NA>
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33273328통신판매업08_26_04_P3260000202032600973020031920201027<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 동대신동3가 319-2부산광역시 서구 대영로85번길 83 (동대신동3가)49212못과 망치(까시도리)20201028094144I2020-10-30 00:23:09.0가구/수납용품383949.157824181347.587403<NA><NA><NA>인터넷<NA>
1639916400통신판매업08_26_04_P3290000200932900853020033420090729<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>203-2878<NA>614050부산광역시 부산진구 양정동 271번지 5호부산광역시 부산진구 연수로11번길 48 (양정동)<NA>나라엔터테이먼트20120828112735I2018-08-31 23:59:59.0의류/패션/잡화/뷰티388948.003145188513.586015<NA><NA><NA>인터넷<NA>
1372113722통신판매업08_26_04_P3290000201332901073020036720130812<NA>3폐업3폐업처리20160803<NA><NA><NA>0505-580-8000<NA><NA><NA>부산광역시 부산진구 신천대로50번길 62 (부전동, 5층502호)614845제이투엔텍20160803172235I2018-08-31 23:59:59.0기타387647.55736185762.912128<NA><NA><NA>인터넷<NA>