Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells106446
Missing cells (%)32.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory293.0 B

Variable types

Numeric14
Categorical9
Text4
Unsupported5
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123128

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
판매방식명 has a high cardinality: 51 distinct valuesHigh cardinality
재개업일자 is highly imbalanced (99.7%)Imbalance
판매방식명 is highly imbalanced (90.0%)Imbalance
인허가취소일자 has 9875 (98.8%) missing valuesMissing
폐업일자 has 7960 (79.6%) missing valuesMissing
휴업시작일자 has 9976 (99.8%) missing valuesMissing
휴업종료일자 has 9976 (99.8%) missing valuesMissing
소재지전화 has 5577 (55.8%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7583 (75.8%) missing valuesMissing
소재지전체주소 has 2736 (27.4%) missing valuesMissing
도로명전체주소 has 305 (3.0%) missing valuesMissing
도로명우편번호 has 1908 (19.1%) missing valuesMissing
좌표정보(x) has 275 (2.8%) missing valuesMissing
좌표정보(y) has 275 (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 = -36.11589691)Skewed
좌표정보(x) is highly skewed (γ1 = -36.76044561)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 00:40:07.916410
Analysis finished2024-04-22 00:40:09.931626
Duration2.02 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%
Mean13270.565
Minimum3
Maximum26538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:09.998285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1310.7
Q16656
median13327.5
Q319832.25
95-th percentile25258.05
Maximum26538
Range26535
Interquartile range (IQR)13176.25

Descriptive statistics

Standard deviation7662.6256
Coefficient of variation (CV)0.57741516
Kurtosis-1.1943663
Mean13270.565
Median Absolute Deviation (MAD)6585
Skewness-0.0028453864
Sum1.3270565 × 108
Variance58715831
MonotonicityNot monotonic
2024-04-22T09:40:10.128461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1881 1
 
< 0.1%
13081 1
 
< 0.1%
5753 1
 
< 0.1%
18988 1
 
< 0.1%
9000 1
 
< 0.1%
7357 1
 
< 0.1%
18090 1
 
< 0.1%
22651 1
 
< 0.1%
705 1
 
< 0.1%
14487 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
13 1
< 0.1%
16 1
< 0.1%
20 1
< 0.1%
23 1
< 0.1%
28 1
< 0.1%
33 1
< 0.1%
37 1
< 0.1%
39 1
< 0.1%
40 1
< 0.1%
ValueCountFrequency (%)
26538 1
< 0.1%
26536 1
< 0.1%
26535 1
< 0.1%
26534 1
< 0.1%
26530 1
< 0.1%
26529 1
< 0.1%
26527 1
< 0.1%
26525 1
< 0.1%
26524 1
< 0.1%
26523 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

2024-04-22T09:40:10.246946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:40:10.331883image/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

2024-04-22T09:40:10.419235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:40:10.504126image/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%
Mean3285473
Minimum3250000
Maximum3310000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:10.587827image/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 deviation17848.477
Coefficient of variation (CV)0.0054325441
Kurtosis-0.51649578
Mean3285473
Median Absolute Deviation (MAD)10000
Skewness-0.69157473
Sum3.285473 × 1010
Variance3.1856813 × 108
MonotonicityNot monotonic
2024-04-22T09:40:10.698751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3290000 3673
36.7%
3300000 1975
19.8%
3310000 1119
 
11.2%
3250000 1076
 
10.8%
3270000 1037
 
10.4%
3260000 621
 
6.2%
3280000 499
 
5.0%
ValueCountFrequency (%)
3250000 1076
 
10.8%
3260000 621
 
6.2%
3270000 1037
 
10.4%
3280000 499
 
5.0%
3290000 3673
36.7%
3300000 1975
19.8%
3310000 1119
 
11.2%
ValueCountFrequency (%)
3310000 1119
 
11.2%
3300000 1975
19.8%
3290000 3673
36.7%
3280000 499
 
5.0%
3270000 1037
 
10.4%
3260000 621
 
6.2%
3250000 1076
 
10.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156748 × 1018
Minimum2.000327 × 1018
Maximum2.021331 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:10.846241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.000327 × 1018
5-th percentile2.00733 × 1018
Q12.012329 × 1018
median2.016331 × 1018
Q32.01933 × 1018
95-th percentile2.021326 × 1018
Maximum2.021331 × 1018
Range2.1004005 × 1016
Interquartile range (IQR)7.0010014 × 1015

Descriptive statistics

Standard deviation4.3977929 × 1015
Coefficient of variation (CV)0.0021817969
Kurtosis-0.71152528
Mean2.0156748 × 1018
Median Absolute Deviation (MAD)3.0050018 × 1015
Skewness-0.6118443
Sum-5.5436982 × 1018
Variance1.9340583 × 1031
MonotonicityNot monotonic
2024-04-22T09:40:10.990227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2019325008330200040 1
 
< 0.1%
2020329014430201789 1
 
< 0.1%
2012327008630200033 1
 
< 0.1%
2020330009930200025 1
 
< 0.1%
2019329012830200999 1
 
< 0.1%
2019328013230200106 1
 
< 0.1%
2005329008530200071 1
 
< 0.1%
2009330006430200249 1
 
< 0.1%
2019325013330200097 1
 
< 0.1%
2010329008530200111 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2000327007130200358 1
< 0.1%
2001325005930200823 1
< 0.1%
2001329008530200451 1
< 0.1%
2001330006430200702 1
< 0.1%
2002327007130201037 1
< 0.1%
2002327007130201300 1
< 0.1%
2002327007130201507 1
< 0.1%
2002329008530200041 1
< 0.1%
2002329008530200071 1
< 0.1%
2002329008530201155 1
< 0.1%
ValueCountFrequency (%)
2021331011930200387 1
< 0.1%
2021331011930200385 1
< 0.1%
2021331011930200379 1
< 0.1%
2021331011930200378 1
< 0.1%
2021330011030200449 1
< 0.1%
2021330011030200448 1
< 0.1%
2021330011030200445 1
< 0.1%
2021330011030200444 1
< 0.1%
2021330011030200442 1
< 0.1%
2021330011030200439 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3372
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20152386
Minimum20000719
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:11.143049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000719
5-th percentile20071012
Q120120209
median20160902
Q320190716
95-th percentile20210105
Maximum20210430
Range209711
Interquartile range (IQR)70507.25

Descriptive statistics

Standard deviation44245.374
Coefficient of variation (CV)0.0021955402
Kurtosis-0.75964111
Mean20152386
Median Absolute Deviation (MAD)30589
Skewness-0.57499128
Sum2.0152386 × 1011
Variance1.9576531 × 109
MonotonicityNot monotonic
2024-04-22T09:40:11.291220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210105 17
 
0.2%
20190208 16
 
0.2%
20190402 14
 
0.1%
20200303 13
 
0.1%
20210128 13
 
0.1%
20200203 13
 
0.1%
20190107 13
 
0.1%
20200330 13
 
0.1%
20200506 13
 
0.1%
20200824 13
 
0.1%
Other values (3362) 9862
98.6%
ValueCountFrequency (%)
20000719 1
< 0.1%
20010212 1
< 0.1%
20010927 1
< 0.1%
20011205 1
< 0.1%
20020304 1
< 0.1%
20020425 1
< 0.1%
20020530 1
< 0.1%
20020930 2
< 0.1%
20021014 1
< 0.1%
20021031 1
< 0.1%
ValueCountFrequency (%)
20210430 3
 
< 0.1%
20210429 11
0.1%
20210428 5
0.1%
20210427 7
0.1%
20210426 3
 
< 0.1%
20210423 6
0.1%
20210422 9
0.1%
20210421 2
 
< 0.1%
20210420 7
0.1%
20210419 3
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)18.4%
Missing9875
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20100319
Minimum20080715
Maximum20151120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:11.413176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080715
5-th percentile20080908
Q120100713
median20100713
Q320101206
95-th percentile20128895
Maximum20151120
Range70405
Interquartile range (IQR)493

Descriptive statistics

Standard deviation13364.466
Coefficient of variation (CV)0.00066488826
Kurtosis6.0114198
Mean20100319
Median Absolute Deviation (MAD)300
Skewness1.8096408
Sum2.5125399 × 109
Variance1.7860895 × 108
MonotonicityNot monotonic
2024-04-22T09:40:11.534187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20100713 39
 
0.4%
20100730 21
 
0.2%
20101231 17
 
0.2%
20080908 13
 
0.1%
20101206 8
 
0.1%
20151120 4
 
< 0.1%
20100413 4
 
< 0.1%
20130814 2
 
< 0.1%
20090921 2
 
< 0.1%
20100326 2
 
< 0.1%
Other values (13) 13
 
0.1%
(Missing) 9875
98.8%
ValueCountFrequency (%)
20080715 1
 
< 0.1%
20080818 1
 
< 0.1%
20080908 13
0.1%
20081001 1
 
< 0.1%
20081209 1
 
< 0.1%
20081226 1
 
< 0.1%
20081228 1
 
< 0.1%
20090921 2
 
< 0.1%
20091120 1
 
< 0.1%
20100326 2
 
< 0.1%
ValueCountFrequency (%)
20151120 4
 
< 0.1%
20141202 1
 
< 0.1%
20130814 2
 
< 0.1%
20121220 1
 
< 0.1%
20121130 1
 
< 0.1%
20101231 17
0.2%
20101206 8
0.1%
20101122 1
 
< 0.1%
20101101 1
 
< 0.1%
20101004 1
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5445 
4
2500 
3
2040 
2
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5445
54.4%
4 2500
25.0%
3 2040
 
20.4%
2 15
 
0.1%

Length

2024-04-22T09:40:11.660442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:40:11.764098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5445
54.4%
4 2500
25.0%
3 2040
 
20.4%
2 15
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5445 
취소/말소/만료/정지/중지
2500 
폐업
2040 
휴업
 
15

Length

Max length14
Median length5
Mean length6.6335
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5445
54.4%
취소/말소/만료/정지/중지 2500
25.0%
폐업 2040
 
20.4%
휴업 15
 
0.1%

Length

2024-04-22T09:40:11.882981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:40:11.986254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5445
54.4%
취소/말소/만료/정지/중지 2500
25.0%
폐업 2040
 
20.4%
휴업 15
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8716
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:12.076087image/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 deviation2.4437902
Coefficient of variation (CV)0.85102041
Kurtosis-0.87934302
Mean2.8716
Median Absolute Deviation (MAD)0
Skewness0.90073728
Sum28716
Variance5.9721107
MonotonicityNot monotonic
2024-04-22T09:40:12.173388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 5444
54.4%
7 2372
23.7%
3 2040
 
20.4%
4 128
 
1.3%
2 15
 
0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
1 5444
54.4%
2 15
 
0.1%
3 2040
 
20.4%
4 128
 
1.3%
6 1
 
< 0.1%
7 2372
23.7%
ValueCountFrequency (%)
7 2372
23.7%
6 1
 
< 0.1%
4 128
 
1.3%
3 2040
 
20.4%
2 15
 
0.1%
1 5444
54.4%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
5444 
직권말소
2372 
폐업처리
2040 
직권취소
 
128
휴업처리
 
15

Length

Max length6
Median length4
Mean length4.0002
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 5444
54.4%
직권말소 2372
23.7%
폐업처리 2040
 
20.4%
직권취소 128
 
1.3%
휴업처리 15
 
0.1%
타시군구전입 1
 
< 0.1%

Length

2024-04-22T09:40:12.304666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:40:12.416926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 5444
54.4%
직권말소 2372
23.7%
폐업처리 2040
 
20.4%
직권취소 128
 
1.3%
휴업처리 15
 
0.1%
타시군구전입 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1445
Distinct (%)70.8%
Missing7960
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean20148262
Minimum20070509
Maximum20210501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:12.539011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070509
5-th percentile20080897
Q120110707
median20150412
Q320190328
95-th percentile20210111
Maximum20210501
Range139992
Interquartile range (IQR)79621.25

Descriptive statistics

Standard deviation41882.174
Coefficient of variation (CV)0.0020786991
Kurtosis-1.3071479
Mean20148262
Median Absolute Deviation (MAD)39881.5
Skewness-0.12366242
Sum4.1102454 × 1010
Variance1.7541165 × 109
MonotonicityNot monotonic
2024-04-22T09:40:12.678901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190628 13
 
0.1%
20151231 9
 
0.1%
20201210 6
 
0.1%
20200203 6
 
0.1%
20210129 6
 
0.1%
20200218 6
 
0.1%
20151230 6
 
0.1%
20090311 6
 
0.1%
20141231 6
 
0.1%
20130124 5
 
0.1%
Other values (1435) 1971
 
19.7%
(Missing) 7960
79.6%
ValueCountFrequency (%)
20070509 1
 
< 0.1%
20070615 1
 
< 0.1%
20070619 2
< 0.1%
20070625 3
< 0.1%
20070706 1
 
< 0.1%
20070711 1
 
< 0.1%
20070723 1
 
< 0.1%
20070809 1
 
< 0.1%
20070813 1
 
< 0.1%
20070823 1
 
< 0.1%
ValueCountFrequency (%)
20210501 1
< 0.1%
20210426 1
< 0.1%
20210424 1
< 0.1%
20210423 1
< 0.1%
20210422 2
< 0.1%
20210421 1
< 0.1%
20210420 2
< 0.1%
20210413 1
< 0.1%
20210409 2
< 0.1%
20210407 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing9976
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20146537
Minimum20080205
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:12.806995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080205
5-th percentile20082187
Q120107856
median20145804
Q320190157
95-th percentile20201162
Maximum20201231
Range121026
Interquartile range (IQR)82300.5

Descriptive statistics

Standard deviation42285.604
Coefficient of variation (CV)0.0020989019
Kurtosis-1.4451053
Mean20146537
Median Absolute Deviation (MAD)44407
Skewness-0.11106314
Sum4.8351688 × 108
Variance1.7880723 × 109
MonotonicityNot monotonic
2024-04-22T09:40:12.944857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20201231 1
 
< 0.1%
20160101 1
 
< 0.1%
20140601 1
 
< 0.1%
20200802 1
 
< 0.1%
20090520 1
 
< 0.1%
20101122 1
 
< 0.1%
20101102 1
 
< 0.1%
20170721 1
 
< 0.1%
20080716 1
 
< 0.1%
20161011 1
 
< 0.1%
Other values (14) 14
 
0.1%
(Missing) 9976
99.8%
ValueCountFrequency (%)
20080205 1
< 0.1%
20080716 1
< 0.1%
20090520 1
< 0.1%
20101014 1
< 0.1%
20101102 1
< 0.1%
20101122 1
< 0.1%
20110101 1
< 0.1%
20110224 1
< 0.1%
20130713 1
< 0.1%
20131021 1
< 0.1%
ValueCountFrequency (%)
20201231 1
< 0.1%
20201204 1
< 0.1%
20200924 1
< 0.1%
20200802 1
< 0.1%
20190904 1
< 0.1%
20190318 1
< 0.1%
20190103 1
< 0.1%
20180901 1
< 0.1%
20170721 1
< 0.1%
20161011 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing9976
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20157502
Minimum20080804
Maximum20290318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:13.085433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080804
5-th percentile20084039
Q120111081
median20151018
Q320193648
95-th percentile20228626
Maximum20290318
Range209514
Interquartile range (IQR)82567.75

Descriptive statistics

Standard deviation53668.805
Coefficient of variation (CV)0.0026624731
Kurtosis-0.096305126
Mean20157502
Median Absolute Deviation (MAD)40300.5
Skewness0.51813143
Sum4.8378004 × 108
Variance2.8803406 × 109
MonotonicityNot monotonic
2024-04-22T09:40:13.217618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20111231 2
 
< 0.1%
20210731 1
 
< 0.1%
20161231 1
 
< 0.1%
20141130 1
 
< 0.1%
20220101 1
 
< 0.1%
20100531 1
 
< 0.1%
20101231 1
 
< 0.1%
20180720 1
 
< 0.1%
20081129 1
 
< 0.1%
20170410 1
 
< 0.1%
Other values (13) 13
 
0.1%
(Missing) 9976
99.8%
ValueCountFrequency (%)
20080804 1
< 0.1%
20081129 1
< 0.1%
20100531 1
< 0.1%
20101125 1
< 0.1%
20101231 1
< 0.1%
20110630 1
< 0.1%
20111231 2
< 0.1%
20140712 1
< 0.1%
20141014 1
< 0.1%
20141128 1
< 0.1%
ValueCountFrequency (%)
20290318 1
< 0.1%
20230131 1
< 0.1%
20220101 1
< 0.1%
20211130 1
< 0.1%
20210731 1
< 0.1%
20200901 1
< 0.1%
20191231 1
< 0.1%
20190331 1
< 0.1%
20180720 1
< 0.1%
20170410 1
< 0.1%

재개업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9995 
20190716
 
1
20190107
 
1
20100420
 
1
20180226
 
1

Length

Max length8
Median length4
Mean length4.002
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9995
> 99.9%
20190716 1
 
< 0.1%
20190107 1
 
< 0.1%
20100420 1
 
< 0.1%
20180226 1
 
< 0.1%
20180530 1
 
< 0.1%

Length

2024-04-22T09:40:13.344150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:40:13.451313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9995
> 99.9%
20190716 1
 
< 0.1%
20190107 1
 
< 0.1%
20100420 1
 
< 0.1%
20180226 1
 
< 0.1%
20180530 1
 
< 0.1%

소재지전화
Text

MISSING 

Distinct4343
Distinct (%)98.2%
Missing5577
Missing (%)55.8%
Memory size156.2 KiB
2024-04-22T09:40:13.665382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.312684
Min length1

Characters and Unicode

Total characters50036
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

Unique4267 ?
Unique (%)96.5%

Sample

1st row051-805-8007
2nd row070-8826-3610
3rd row521-2080
4th row506-3424
5th row051-866-9585
ValueCountFrequency (%)
051 273
 
5.5%
244 13
 
0.3%
462 12
 
0.2%
245 12
 
0.2%
466 12
 
0.2%
463 11
 
0.2%
246 10
 
0.2%
464 10
 
0.2%
441 9
 
0.2%
467 8
 
0.2%
Other values (4403) 4579
92.5%
2024-04-22T09:40:14.049919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7866
15.7%
- 7028
14.0%
5 6238
12.5%
1 5655
11.3%
7 3711
7.4%
8 3610
7.2%
2 3447
6.9%
4 3360
6.7%
6 3303
6.6%
3 2791
 
5.6%
Other values (9) 3027
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42406
84.8%
Dash Punctuation 7028
 
14.0%
Space Separator 530
 
1.1%
Close Punctuation 49
 
0.1%
Other Punctuation 11
 
< 0.1%
Math Symbol 10
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7866
18.5%
5 6238
14.7%
1 5655
13.3%
7 3711
8.8%
8 3610
8.5%
2 3447
8.1%
4 3360
7.9%
6 3303
7.8%
3 2791
 
6.6%
9 2425
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 7
63.6%
/ 2
 
18.2%
* 1
 
9.1%
. 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 7028
100.0%
Space Separator
ValueCountFrequency (%)
530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50036
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7866
15.7%
- 7028
14.0%
5 6238
12.5%
1 5655
11.3%
7 3711
7.4%
8 3610
7.2%
2 3447
6.9%
4 3360
6.7%
6 3303
6.6%
3 2791
 
5.6%
Other values (9) 3027
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7866
15.7%
- 7028
14.0%
5 6238
12.5%
1 5655
11.3%
7 3711
7.4%
8 3610
7.2%
2 3447
6.9%
4 3360
6.7%
6 3303
6.6%
3 2791
 
5.6%
Other values (9) 3027
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct495
Distinct (%)20.5%
Missing7583
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean607887.77
Minimum49094
Maximum614882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:14.190112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49094
5-th percentile600079.6
Q1602803
median607816
Q3614040
95-th percentile614854
Maximum614882
Range565788
Interquartile range (IQR)11237

Descriptive statistics

Standard deviation12612.644
Coefficient of variation (CV)0.02074831
Kurtosis1596.3244
Mean607887.77
Median Absolute Deviation (MAD)6113
Skewness-36.115897
Sum1.4692647 × 109
Variance1.5907878 × 108
MonotonicityNot monotonic
2024-04-22T09:40:14.319503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614030 101
 
1.0%
607060 96
 
1.0%
614040 73
 
0.7%
614020 59
 
0.6%
607100 49
 
0.5%
614050 48
 
0.5%
608020 42
 
0.4%
601060 40
 
0.4%
607120 39
 
0.4%
614010 38
 
0.4%
Other values (485) 1832
 
18.3%
(Missing) 7583
75.8%
ValueCountFrequency (%)
49094 1
 
< 0.1%
530350 1
 
< 0.1%
600010 1
 
< 0.1%
600011 2
 
< 0.1%
600012 8
0.1%
600013 10
0.1%
600014 10
0.1%
600015 4
 
< 0.1%
600016 1
 
< 0.1%
600021 1
 
< 0.1%
ValueCountFrequency (%)
614882 3
 
< 0.1%
614876 2
 
< 0.1%
614875 4
< 0.1%
614874 1
 
< 0.1%
614873 7
0.1%
614872 3
 
< 0.1%
614871 6
0.1%
614870 8
0.1%
614869 3
 
< 0.1%
614868 5
0.1%

소재지전체주소
Text

MISSING 

Distinct6026
Distinct (%)83.0%
Missing2736
Missing (%)27.4%
Memory size156.2 KiB
2024-04-22T09:40:14.662052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length27.082186
Min length7

Characters and Unicode

Total characters196725
Distinct characters538
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

Unique5422 ?
Unique (%)74.6%

Sample

1st row부산광역시 중구 영주동 743번지 14호
2nd row부산광역시 부산진구 초읍동 221번지 9호
3rd row부산광역시 부산진구 부암동 560번지 20호 협성피닉스타운 105동 1306호
4th row부산광역시 동래구 명장동 145번지 4호
5th row부산광역시 서구 서대신동3가 산 85번지
ValueCountFrequency (%)
부산광역시 7196
 
17.6%
부산진구 2529
 
6.2%
동래구 1568
 
3.8%
1호 796
 
1.9%
남구 777
 
1.9%
중구 749
 
1.8%
동구 735
 
1.8%
전포동 500
 
1.2%
부전동 477
 
1.2%
서구 445
 
1.1%
Other values (5296) 25114
61.4%
2024-04-22T09:40:15.483009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33714
 
17.1%
부 10771
 
5.5%
동 10691
 
5.4%
산 10054
 
5.1%
1 8282
 
4.2%
시 7486
 
3.8%
광 7307
 
3.7%
구 7252
 
3.7%
역 7244
 
3.7%
지 6154
 
3.1%
Other values (528) 87770
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122288
62.2%
Decimal Number 38319
 
19.5%
Space Separator 33714
 
17.1%
Dash Punctuation 1364
 
0.7%
Uppercase Letter 724
 
0.4%
Lowercase Letter 134
 
0.1%
Other Punctuation 112
 
0.1%
Open Punctuation 26
 
< 0.1%
Close Punctuation 26
 
< 0.1%
Letter Number 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 10771
 
8.8%
동 10691
 
8.7%
산 10054
 
8.2%
시 7486
 
6.1%
광 7307
 
6.0%
구 7252
 
5.9%
역 7244
 
5.9%
지 6154
 
5.0%
호 6143
 
5.0%
번 5761
 
4.7%
Other values (460) 43425
35.5%
Uppercase Letter
ValueCountFrequency (%)
S 115
15.9%
K 107
14.8%
B 79
10.9%
T 52
 
7.2%
H 49
 
6.8%
A 46
 
6.4%
U 35
 
4.8%
G 31
 
4.3%
C 30
 
4.1%
L 27
 
3.7%
Other values (14) 153
21.1%
Lowercase Letter
ValueCountFrequency (%)
e 34
25.4%
l 16
11.9%
i 15
11.2%
o 15
11.2%
v 8
 
6.0%
k 6
 
4.5%
s 6
 
4.5%
a 5
 
3.7%
w 4
 
3.0%
n 4
 
3.0%
Other values (9) 21
15.7%
Decimal Number
ValueCountFrequency (%)
1 8282
21.6%
2 5458
14.2%
3 4281
11.2%
4 3563
9.3%
0 3443
9.0%
5 3349
8.7%
6 2939
 
7.7%
7 2514
 
6.6%
8 2480
 
6.5%
9 2010
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 62
55.4%
/ 21
 
18.8%
. 9
 
8.0%
@ 8
 
7.1%
& 7
 
6.2%
· 5
 
4.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
81.8%
Ⅰ 1
 
9.1%
Ⅲ 1
 
9.1%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
∥ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
33714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1364
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122287
62.2%
Common 73568
37.4%
Latin 869
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 10771
 
8.8%
동 10691
 
8.7%
산 10054
 
8.2%
시 7486
 
6.1%
광 7307
 
6.0%
구 7252
 
5.9%
역 7244
 
5.9%
지 6154
 
5.0%
호 6143
 
5.0%
번 5761
 
4.7%
Other values (459) 43424
35.5%
Latin
ValueCountFrequency (%)
S 115
 
13.2%
K 107
 
12.3%
B 79
 
9.1%
T 52
 
6.0%
H 49
 
5.6%
A 46
 
5.3%
U 35
 
4.0%
e 34
 
3.9%
G 31
 
3.6%
C 30
 
3.5%
Other values (36) 291
33.5%
Common
ValueCountFrequency (%)
33714
45.8%
1 8282
 
11.3%
2 5458
 
7.4%
3 4281
 
5.8%
4 3563
 
4.8%
0 3443
 
4.7%
5 3349
 
4.6%
6 2939
 
4.0%
7 2514
 
3.4%
8 2480
 
3.4%
Other values (12) 3545
 
4.8%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122287
62.2%
ASCII 74420
37.8%
Number Forms 11
 
< 0.1%
None 5
 
< 0.1%
Math Operators 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33714
45.3%
1 8282
 
11.1%
2 5458
 
7.3%
3 4281
 
5.8%
4 3563
 
4.8%
0 3443
 
4.6%
5 3349
 
4.5%
6 2939
 
3.9%
7 2514
 
3.4%
8 2480
 
3.3%
Other values (53) 4397
 
5.9%
Hangul
ValueCountFrequency (%)
부 10771
 
8.8%
동 10691
 
8.7%
산 10054
 
8.2%
시 7486
 
6.1%
광 7307
 
6.0%
구 7252
 
5.9%
역 7244
 
5.9%
지 6154
 
5.0%
호 6143
 
5.0%
번 5761
 
4.7%
Other values (459) 43424
35.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
81.8%
Ⅰ 1
 
9.1%
Ⅲ 1
 
9.1%
None
ValueCountFrequency (%)
· 5
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

도로명전체주소
Text

MISSING 

Distinct9370
Distinct (%)96.6%
Missing305
Missing (%)3.0%
Memory size156.2 KiB
2024-04-22T09:40:15.868213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length35.35967
Min length16

Characters and Unicode

Total characters342812
Distinct characters599
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

Unique9090 ?
Unique (%)93.8%

Sample

1st row부산광역시 중구 중구로 158, 외 2필지 (영주동)
2nd row부산광역시 부산진구 성지로 63, 지하1층 (초읍동)
3rd row부산광역시 부산진구 당감로 118, 105동 1306호 (부암동, 협성피닉스타운)
4th row부산광역시 동구 범일로 78 (범일동)
5th row부산광역시 부산진구 동성로 143, 2057호 (전포동, 신우빌딩)
ValueCountFrequency (%)
부산광역시 9694
 
15.3%
부산진구 3572
 
5.6%
동래구 1911
 
3.0%
남구 1115
 
1.8%
중구 1036
 
1.6%
동구 975
 
1.5%
1층 786
 
1.2%
부전동 673
 
1.1%
전포동 621
 
1.0%
서구 601
 
0.9%
Other values (7793) 42501
66.9%
2024-04-22T09:40:16.445562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53803
 
15.7%
동 16347
 
4.8%
부 14971
 
4.4%
1 14483
 
4.2%
산 13800
 
4.0%
, 10905
 
3.2%
시 10407
 
3.0%
광 10173
 
3.0%
구 10067
 
2.9%
역 9764
 
2.8%
Other values (589) 178092
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194328
56.7%
Decimal Number 60952
 
17.8%
Space Separator 53803
 
15.7%
Other Punctuation 10955
 
3.2%
Close Punctuation 9725
 
2.8%
Open Punctuation 9725
 
2.8%
Dash Punctuation 2070
 
0.6%
Uppercase Letter 1071
 
0.3%
Lowercase Letter 145
 
< 0.1%
Letter Number 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16347
 
8.4%
부 14971
 
7.7%
산 13800
 
7.1%
시 10407
 
5.4%
광 10173
 
5.2%
구 10067
 
5.2%
역 9764
 
5.0%
로 9555
 
4.9%
호 5328
 
2.7%
길 4893
 
2.5%
Other values (516) 89023
45.8%
Uppercase Letter
ValueCountFrequency (%)
B 195
18.2%
S 135
12.6%
A 127
11.9%
K 119
11.1%
C 75
 
7.0%
H 54
 
5.0%
T 47
 
4.4%
L 42
 
3.9%
G 37
 
3.5%
D 36
 
3.4%
Other values (15) 204
19.0%
Lowercase Letter
ValueCountFrequency (%)
e 34
23.4%
o 19
13.1%
l 17
11.7%
i 13
 
9.0%
a 6
 
4.1%
v 6
 
4.1%
c 6
 
4.1%
w 6
 
4.1%
d 5
 
3.4%
s 5
 
3.4%
Other values (10) 28
19.3%
Decimal Number
ValueCountFrequency (%)
1 14483
23.8%
2 8950
14.7%
0 7987
13.1%
3 7009
11.5%
4 5053
 
8.3%
5 4461
 
7.3%
6 3698
 
6.1%
7 3396
 
5.6%
9 2963
 
4.9%
8 2952
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 10905
99.5%
. 24
 
0.2%
/ 11
 
0.1%
· 5
 
< 0.1%
& 5
 
< 0.1%
@ 4
 
< 0.1%
' 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 15
83.3%
∥ 1
 
5.6%
> 1
 
5.6%
< 1
 
5.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 18
90.0%
Ⅲ 1
 
5.0%
Ⅰ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
53803
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9725
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9725
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2070
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194327
56.7%
Common 147248
43.0%
Latin 1236
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16347
 
8.4%
부 14971
 
7.7%
산 13800
 
7.1%
시 10407
 
5.4%
광 10173
 
5.2%
구 10067
 
5.2%
역 9764
 
5.0%
로 9555
 
4.9%
호 5328
 
2.7%
길 4893
 
2.5%
Other values (515) 89022
45.8%
Latin
ValueCountFrequency (%)
B 195
15.8%
S 135
 
10.9%
A 127
 
10.3%
K 119
 
9.6%
C 75
 
6.1%
H 54
 
4.4%
T 47
 
3.8%
L 42
 
3.4%
G 37
 
3.0%
D 36
 
2.9%
Other values (38) 369
29.9%
Common
ValueCountFrequency (%)
53803
36.5%
1 14483
 
9.8%
, 10905
 
7.4%
) 9725
 
6.6%
( 9725
 
6.6%
2 8950
 
6.1%
0 7987
 
5.4%
3 7009
 
4.8%
4 5053
 
3.4%
5 4461
 
3.0%
Other values (15) 15147
 
10.3%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194327
56.7%
ASCII 148458
43.3%
Number Forms 20
 
< 0.1%
None 5
 
< 0.1%
Math Operators 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53803
36.2%
1 14483
 
9.8%
, 10905
 
7.3%
) 9725
 
6.6%
( 9725
 
6.6%
2 8950
 
6.0%
0 7987
 
5.4%
3 7009
 
4.7%
4 5053
 
3.4%
5 4461
 
3.0%
Other values (58) 16357
 
11.0%
Hangul
ValueCountFrequency (%)
동 16347
 
8.4%
부 14971
 
7.7%
산 13800
 
7.1%
시 10407
 
5.4%
광 10173
 
5.2%
구 10067
 
5.2%
역 9764
 
5.0%
로 9555
 
4.9%
호 5328
 
2.7%
길 4893
 
2.5%
Other values (515) 89022
45.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 18
90.0%
Ⅲ 1
 
5.0%
Ⅰ 1
 
5.0%
None
ValueCountFrequency (%)
· 5
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1462
Distinct (%)18.1%
Missing1908
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean192696.84
Minimum46025
Maximum614894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:16.580846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46025
5-th percentile47181
Q147355.75
median48577
Q3600061
95-th percentile614839
Maximum614894
Range568869
Interquartile range (IQR)552705.25

Descriptive statistics

Standard deviation245384.9
Coefficient of variation (CV)1.2734246
Kurtosis-0.77337338
Mean192696.84
Median Absolute Deviation (MAD)1233
Skewness1.1073266
Sum1.5593028 × 109
Variance6.0213748 × 1010
MonotonicityNot monotonic
2024-04-22T09:40:16.711659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 100
 
1.0%
47247 59
 
0.6%
47295 55
 
0.5%
47286 53
 
0.5%
47293 45
 
0.4%
48742 43
 
0.4%
47209 38
 
0.4%
47284 38
 
0.4%
47292 38
 
0.4%
48498 37
 
0.4%
Other values (1452) 7586
75.9%
(Missing) 1908
 
19.1%
ValueCountFrequency (%)
46025 1
 
< 0.1%
46649 1
 
< 0.1%
47100 2
< 0.1%
47101 4
< 0.1%
47102 4
< 0.1%
47103 1
 
< 0.1%
47104 4
< 0.1%
47105 2
< 0.1%
47106 2
< 0.1%
47107 2
< 0.1%
ValueCountFrequency (%)
614894 5
0.1%
614891 2
 
< 0.1%
614884 1
 
< 0.1%
614883 1
 
< 0.1%
614882 1
 
< 0.1%
614881 3
 
< 0.1%
614876 4
 
< 0.1%
614875 3
 
< 0.1%
614874 3
 
< 0.1%
614873 12
0.1%

사업장명
Text

Distinct9786
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T09:40:17.050851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length6.6188
Min length1

Characters and Unicode

Total characters66188
Distinct characters1096
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9584 ?
Unique (%)95.8%

Sample

1st row지호텔
2nd row에스파시오
3rd row라이딩찰리
4th row모두피아
5th row니즈제이(Needs J)
ValueCountFrequency (%)
주식회사 322
 
2.7%
주 40
 
0.3%
company 21
 
0.2%
shop 19
 
0.2%
the 17
 
0.1%
더 16
 
0.1%
13
 
0.1%
부산 13
 
0.1%
스튜디오 12
 
0.1%
컴퍼니 11
 
0.1%
Other values (10791) 11640
96.0%
2024-04-22T09:40:17.513740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2129
 
3.2%
) 2104
 
3.2%
( 2104
 
3.2%
이 2059
 
3.1%
스 1674
 
2.5%
리 1033
 
1.6%
주 962
 
1.5%
e 831
 
1.3%
사 792
 
1.2%
아 779
 
1.2%
Other values (1086) 51721
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46041
69.6%
Lowercase Letter 7111
 
10.7%
Uppercase Letter 5632
 
8.5%
Space Separator 2129
 
3.2%
Close Punctuation 2106
 
3.2%
Open Punctuation 2106
 
3.2%
Decimal Number 510
 
0.8%
Other Punctuation 362
 
0.5%
Dash Punctuation 82
 
0.1%
Other Symbol 77
 
0.1%
Other values (4) 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2059
 
4.5%
스 1674
 
3.6%
리 1033
 
2.2%
주 962
 
2.1%
사 792
 
1.7%
아 779
 
1.7%
라 630
 
1.4%
드 574
 
1.2%
에 568
 
1.2%
트 568
 
1.2%
Other values (996) 36402
79.1%
Lowercase Letter
ValueCountFrequency (%)
e 831
11.7%
o 767
 
10.8%
a 626
 
8.8%
n 547
 
7.7%
i 508
 
7.1%
r 440
 
6.2%
l 430
 
6.0%
t 370
 
5.2%
s 319
 
4.5%
m 289
 
4.1%
Other values (16) 1984
27.9%
Uppercase Letter
ValueCountFrequency (%)
A 454
 
8.1%
O 453
 
8.0%
S 412
 
7.3%
E 370
 
6.6%
M 363
 
6.4%
N 321
 
5.7%
I 287
 
5.1%
T 279
 
5.0%
L 272
 
4.8%
C 268
 
4.8%
Other values (16) 2153
38.2%
Other Punctuation
ValueCountFrequency (%)
. 176
48.6%
& 86
23.8%
, 40
 
11.0%
' 27
 
7.5%
: 9
 
2.5%
# 8
 
2.2%
/ 6
 
1.7%
; 3
 
0.8%
· 2
 
0.6%
! 1
 
0.3%
Other values (4) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 112
22.0%
2 82
16.1%
0 64
12.5%
4 55
10.8%
3 44
 
8.6%
9 44
 
8.6%
5 43
 
8.4%
6 30
 
5.9%
7 24
 
4.7%
8 12
 
2.4%
Math Symbol
ValueCountFrequency (%)
+ 3
50.0%
× 1
 
16.7%
< 1
 
16.7%
> 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 2104
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2104
99.9%
[ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
2129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 77
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46102
69.7%
Latin 12743
 
19.3%
Common 7327
 
11.1%
Han 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2059
 
4.5%
스 1674
 
3.6%
리 1033
 
2.2%
주 962
 
2.1%
사 792
 
1.7%
아 779
 
1.7%
라 630
 
1.4%
드 574
 
1.2%
에 568
 
1.2%
트 568
 
1.2%
Other values (984) 36463
79.1%
Latin
ValueCountFrequency (%)
e 831
 
6.5%
o 767
 
6.0%
a 626
 
4.9%
n 547
 
4.3%
i 508
 
4.0%
A 454
 
3.6%
O 453
 
3.6%
r 440
 
3.5%
l 430
 
3.4%
S 412
 
3.2%
Other values (42) 7275
57.1%
Common
ValueCountFrequency (%)
2129
29.1%
) 2104
28.7%
( 2104
28.7%
. 176
 
2.4%
1 112
 
1.5%
& 86
 
1.2%
2 82
 
1.1%
- 82
 
1.1%
0 64
 
0.9%
4 55
 
0.8%
Other values (27) 333
 
4.5%
Han
ValueCountFrequency (%)
眞 2
12.5%
愛 2
12.5%
花 2
12.5%
福 1
 
6.2%
新 1
 
6.2%
山 1
 
6.2%
水 1
 
6.2%
多 1
 
6.2%
炫 1
 
6.2%
德 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46025
69.5%
ASCII 20064
30.3%
None 80
 
0.1%
CJK 16
 
< 0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2129
 
10.6%
) 2104
 
10.5%
( 2104
 
10.5%
e 831
 
4.1%
o 767
 
3.8%
a 626
 
3.1%
n 547
 
2.7%
i 508
 
2.5%
A 454
 
2.3%
O 453
 
2.3%
Other values (75) 9541
47.6%
Hangul
ValueCountFrequency (%)
이 2059
 
4.5%
스 1674
 
3.6%
리 1033
 
2.2%
주 962
 
2.1%
사 792
 
1.7%
아 779
 
1.7%
라 630
 
1.4%
드 574
 
1.2%
에 568
 
1.2%
트 568
 
1.2%
Other values (983) 36386
79.1%
None
ValueCountFrequency (%)
㈜ 77
96.2%
· 2
 
2.5%
× 1
 
1.2%
CJK
ValueCountFrequency (%)
眞 2
12.5%
愛 2
12.5%
花 2
12.5%
福 1
 
6.2%
新 1
 
6.2%
山 1
 
6.2%
水 1
 
6.2%
多 1
 
6.2%
炫 1
 
6.2%
德 1
 
6.2%
Other values (3) 3
18.8%
Punctuation
ValueCountFrequency (%)
’ 2
66.7%
′ 1
33.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016847 × 1013
Minimum2.007071 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:17.656512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007071 × 1013
5-th percentile2.0100504 × 1013
Q12.0141203 × 1013
median2.0180531 × 1013
Q32.0200304 × 1013
95-th percentile2.0210129 × 1013
Maximum2.021043 × 1013
Range1.3972004 × 1011
Interquartile range (IQR)5.9100961 × 1010

Descriptive statistics

Standard deviation3.526091 × 1010
Coefficient of variation (CV)0.0017483185
Kurtosis-0.39192982
Mean2.016847 × 1013
Median Absolute Deviation (MAD)2.0117511 × 1010
Skewness-0.84206079
Sum2.016847 × 1017
Variance1.2433318 × 1021
MonotonicityNot monotonic
2024-04-22T09:40:17.793080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190930194400 1
 
< 0.1%
20201207154757 1
 
< 0.1%
20180220152513 1
 
< 0.1%
20200109101007 1
 
< 0.1%
20190926111451 1
 
< 0.1%
20191129170520 1
 
< 0.1%
20150414132022 1
 
< 0.1%
20130829175818 1
 
< 0.1%
20190704144023 1
 
< 0.1%
20120125161824 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
20070710110323 1
< 0.1%
20070807150627 1
< 0.1%
20070810101301 1
< 0.1%
20070813135814 1
< 0.1%
20070829162811 1
< 0.1%
20070912114455 1
< 0.1%
20070918162625 1
< 0.1%
20071024135239 1
< 0.1%
20071109170707 1
< 0.1%
20071116171357 1
< 0.1%
ValueCountFrequency (%)
20210430153344 1
< 0.1%
20210430145832 1
< 0.1%
20210430144252 1
< 0.1%
20210430140258 1
< 0.1%
20210430135007 1
< 0.1%
20210429162135 1
< 0.1%
20210429162016 1
< 0.1%
20210429161950 1
< 0.1%
20210429161925 1
< 0.1%
20210429144149 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8153 
U
1847 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8153
81.5%
U 1847
 
18.5%

Length

2024-04-22T09:40:17.919028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:40:18.008085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8153
81.5%
u 1847
 
18.5%

데이터갱신일자
Date

Distinct1121
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-22T09:40:18.138078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:40:18.276721image/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
4476 
기타
2059 
종합몰
1443 
건강/식품
881 
레져/여행/공연
 
325
Other values (7)
816 

Length

Max length11
Median length9
Mean length7.117
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의류/패션/잡화/뷰티 4476
44.8%
기타 2059
20.6%
종합몰 1443
 
14.4%
건강/식품 881
 
8.8%
레져/여행/공연 325
 
3.2%
교육/도서/완구/오락 266
 
2.7%
컴퓨터/사무용품 194
 
1.9%
가전 126
 
1.3%
가구/수납용품 104
 
1.0%
자동차/자동차용품 103
 
1.0%
Other values (2) 23
 
0.2%

Length

2024-04-22T09:40:18.404620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의류/패션/잡화/뷰티 4476
44.8%
기타 2059
20.6%
종합몰 1443
 
14.4%
건강/식품 881
 
8.8%
레져/여행/공연 325
 
3.2%
교육/도서/완구/오락 266
 
2.7%
컴퓨터/사무용품 194
 
1.9%
가전 126
 
1.3%
가구/수납용품 104
 
1.0%
자동차/자동차용품 103
 
1.0%
Other values (2) 23
 
0.2%

좌표정보(x)
Real number (ℝ)

MISSING  SKEWED 

Distinct6097
Distinct (%)62.7%
Missing275
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean387517.28
Minimum144976.39
Maximum398716.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:18.549308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144976.39
5-th percentile384118.8
Q1385671.15
median387653.27
Q3388858.39
95-th percentile391644.1
Maximum398716.5
Range253740.11
Interquartile range (IQR)3187.2453

Descriptive statistics

Standard deviation3912.4839
Coefficient of variation (CV)0.010096282
Kurtosis2106.7135
Mean387517.28
Median Absolute Deviation (MAD)1614.0314
Skewness-36.760446
Sum3.7686055 × 109
Variance15307530
MonotonicityNot monotonic
2024-04-22T09:40:18.694020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387618.822819234 65
 
0.7%
387768.514676203 59
 
0.6%
388140.891260505 58
 
0.6%
387748.383011444 37
 
0.4%
392474.578116018 35
 
0.4%
387816.362564942 35
 
0.4%
387564.611330896 33
 
0.3%
391411.212179843 30
 
0.3%
385463.118213998 25
 
0.2%
389816.233000769 25
 
0.2%
Other values (6087) 9323
93.2%
(Missing) 275
 
2.8%
ValueCountFrequency (%)
144976.391329 1
< 0.1%
196515.609980537 1
< 0.1%
328708.800495696 1
< 0.1%
373753.987508718 1
< 0.1%
376253.214263864 1
< 0.1%
381673.801310437 1
< 0.1%
382638.254474483 2
< 0.1%
382662.631823727 1
< 0.1%
382814.989823135 1
< 0.1%
382819.185868053 1
< 0.1%
ValueCountFrequency (%)
398716.499369453 1
 
< 0.1%
396771.437409211 1
 
< 0.1%
395812.483824917 1
 
< 0.1%
393814.249916409 1
 
< 0.1%
393449.693784 11
0.1%
393163.706837417 24
0.2%
393010.235405366 1
 
< 0.1%
392999.210435176 1
 
< 0.1%
392995.616390452 1
 
< 0.1%
392970.505620613 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct6110
Distinct (%)62.8%
Missing275
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean185233.57
Minimum143707.48
Maximum441617.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:40:18.819535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143707.48
5-th percentile178654.14
Q1181939.91
median185505.68
Q3187807.84
95-th percentile191865.16
Maximum441617.35
Range297909.87
Interquartile range (IQR)5867.9264

Descriptive statistics

Standard deviation4924.4347
Coefficient of variation (CV)0.026585002
Kurtosis755.0402
Mean185233.57
Median Absolute Deviation (MAD)2770.0038
Skewness14.410314
Sum1.8013964 × 109
Variance24250057
MonotonicityNot monotonic
2024-04-22T09:40:18.951993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.478853367 65
 
0.7%
184371.452375082 59
 
0.6%
184063.252176119 58
 
0.6%
185533.437357236 37
 
0.4%
186316.00373302 35
 
0.4%
183837.166587761 33
 
0.3%
183052.21115244 31
 
0.3%
184052.409245407 30
 
0.3%
180123.108147913 25
 
0.2%
193329.605871168 25
 
0.2%
Other values (6100) 9327
93.3%
(Missing) 275
 
2.8%
ValueCountFrequency (%)
143707.482706 1
 
< 0.1%
148892.539528186 1
 
< 0.1%
174683.069423816 10
0.1%
174764.125702762 4
 
< 0.1%
175140.099221406 7
0.1%
175520.650585192 3
 
< 0.1%
175544.19235211 1
 
< 0.1%
175548.363291157 1
 
< 0.1%
175555.500913879 1
 
< 0.1%
175580.741380931 6
0.1%
ValueCountFrequency (%)
441617.349542947 1
< 0.1%
204309.212704419 1
< 0.1%
195148.814352498 1
< 0.1%
194175.406418151 1
< 0.1%
193564.281955206 1
< 0.1%
193558.276031035 1
< 0.1%
193551.167896938 1
< 0.1%
193504.872894065 1
< 0.1%
193496.021968104 1
< 0.1%
193463.964857126 1
< 0.1%

자산규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

부채총액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

판매방식명
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
9392 
기타, 인터넷
 
123
기타
 
106
<NA>
 
90
인터넷, 기타
 
60
Other values (46)
 
229

Length

Max length26
Median length3
Mean length3.289
Min length2

Unique

Unique18 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 9392
93.9%
기타, 인터넷 123
 
1.2%
기타 106
 
1.1%
<NA> 90
 
0.9%
인터넷, 기타 60
 
0.6%
TV홈쇼핑, 인터넷 31
 
0.3%
TV홈쇼핑 22
 
0.2%
카다로그, 인터넷 20
 
0.2%
신문잡지, 인터넷 15
 
0.1%
인터넷, TV홈쇼핑 13
 
0.1%
Other values (41) 128
 
1.3%

Length

2024-04-22T09:40:19.082124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 9763
92.6%
기타 360
 
3.4%
카다로그 128
 
1.2%
tv홈쇼핑 115
 
1.1%
na 90
 
0.9%
신문잡지 87
 
0.8%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
18801881통신판매업08_26_04_P3250000201932500833020004020190208<NA>3폐업3폐업처리20190930<NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 743번지 14호부산광역시 중구 중구로 158, 외 2필지 (영주동)48923지호텔20190930194400U2019-10-02 02:40:00.0레져/여행/공연385549.506335180779.871359<NA><NA><NA>인터넷<NA>
93999400통신판매업08_26_04_P3290000202032901443020000520200102<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-805-8007<NA><NA>부산광역시 부산진구 초읍동 221번지 9호부산광역시 부산진구 성지로 63, 지하1층 (초읍동)47126에스파시오20200103145542I2020-01-05 00:23:25.0기타387073.759498188284.030484<NA><NA><NA>인터넷<NA>
1662516626통신판매업08_26_04_P3290000201132900853020058920111125<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>614090부산광역시 부산진구 부암동 560번지 20호 협성피닉스타운 105동 1306호부산광역시 부산진구 당감로 118, 105동 1306호 (부암동, 협성피닉스타운)614090라이딩찰리20131016101939I2018-08-31 23:59:59.0기타385633.338901187788.815952<NA><NA><NA>인터넷<NA>
66956696통신판매업08_26_04_P3270000201632700863020004220160223<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 범일로 78 (범일동)48747모두피아20170905105237I2018-08-31 23:59:59.0기타387657.581013183909.651147<NA><NA><NA>인터넷<NA>
1066610667통신판매업08_26_04_P3290000201632901283020055520160804<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 동성로 143, 2057호 (전포동, 신우빌딩)47243니즈제이(Needs J)20170214104820I2018-08-31 23:59:59.0의류/패션/잡화/뷰티387927.951173186582.791098<NA><NA><NA>인터넷<NA>
1155311554통신판매업08_26_04_P3290000201432901073020006520140206<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-8826-3610<NA><NA><NA>부산광역시 부산진구 중앙대로666번길 50, A동 4404호 (부전동, 더샵센트럴스타)614846삼성퍼니처20140206135230I2018-08-31 23:59:59.0가구/수납용품387748.383011185533.437357<NA><NA><NA>인터넷<NA>
2262122622통신판매업08_26_04_P3300000200833000643021032520081009<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>521-2080<NA>607110부산광역시 동래구 명장동 145번지 4호부산광역시 동래구 명장로 52-2 (명장동)<NA>MS통상20090401094822I2018-08-31 23:59:59.0건강/식품391770.365246191518.250822<NA><NA><NA>인터넷<NA>
32513252통신판매업08_26_04_P3260000202032600973020004720200305<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 서대신동3가 산 85번지부산광역시 서구 꽃마을로169번길 57-28 (서대신동3가)49200현우공업사20200305121026I2020-03-07 00:23:22.0종합몰382638.254474182952.405631<NA><NA><NA>인터넷<NA>
2599225993통신판매업08_26_04_P3310000201833101003020013020180904<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 60번지 22호부산광역시 남구 용소로19번길 14, 1층 (대연동)48512드디어(de′dear)20180904144147U2018-09-04 23:59:59.0의류/패션/잡화/뷰티391464.178323183877.706624<NA><NA><NA>인터넷<NA>
207208통신판매업08_26_04_P3250000201732500833020018320170721<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 부평1길 40 (부평동2가)48977하늘소식육점20170724093415I2018-08-31 23:59:59.0기타384654.877726179895.598729<NA><NA><NA>인터넷<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
2579825799통신판매업08_26_04_P3310000202033101003020025520200324<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 1872번지 대연롯데캐슬레전드부산광역시 남구 수영로 135, 122동 1801호 (대연동, 대연롯데캐슬레전드)48454BKM코리아20200324182410I2020-03-26 00:23:37.0건강/식품389644.624148183716.216536<NA><NA><NA>인터넷<NA>
1907719078통신판매업08_26_04_P3300000202033000993020003420200111<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 151번지 11호부산광역시 동래구 연안로 59 (안락동)47898올바른플레이스20200111161426I2020-01-14 00:23:25.0종합몰391895.197675190243.907759<NA><NA><NA>인터넷<NA>
2448024481통신판매업08_26_04_P3310000201133100823020028420111004<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-504-5008<NA>608739부산광역시 남구 용당동 산 100번지 부경대학교산학협력관 101-C호부산광역시 남구 신선로 365, 101-C호 (용당동,부경대학교산학협력관)<NA>주식회사 앤아이디20111004101513I2018-08-31 23:59:59.0기타390774.849528182281.089746<NA><NA><NA>인터넷<NA>
65136514통신판매업08_26_04_P3270000201332700863020011920130812<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-631-0407<NA>601060부산광역시 동구 범일동 830번지 216호 호림빌딩6층부산광역시 동구 조방로49번길 29, 6층 (범일동, 호림빌딩)601808(주)조은투어20150623104038I2018-08-31 23:59:59.0레져/여행/공연387703.045993184060.087161<NA><NA><NA>신문잡지, 카다로그, TV홈쇼핑, 인터넷<NA>
1095610957통신판매업08_26_04_P3290000202032901443020118720200810<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 142-5부산광역시 부산진구 서전로 13, 1층 (부전동)47246브루스20200810104027I2020-08-12 00:23:31.0건강/식품387751.455777186253.871909<NA><NA><NA>인터넷<NA>
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