Overview

Dataset statistics

Number of variables33
Number of observations5419
Missing cells67418
Missing cells (%)37.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory286.0 B

Variable types

Numeric17
Categorical6
Text5
Unsupported4
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123126

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
인허가취소일자 has 5103 (94.2%) missing valuesMissing
폐업일자 has 2675 (49.4%) missing valuesMissing
휴업시작일자 has 5381 (99.3%) missing valuesMissing
휴업종료일자 has 5381 (99.3%) missing valuesMissing
재개업일자 has 5405 (99.7%) missing valuesMissing
소재지전화 has 1267 (23.4%) missing valuesMissing
소재지면적 has 5419 (100.0%) missing valuesMissing
소재지우편번호 has 2589 (47.8%) missing valuesMissing
소재지전체주소 has 848 (15.6%) missing valuesMissing
도로명전체주소 has 759 (14.0%) missing valuesMissing
도로명우편번호 has 2681 (49.5%) missing valuesMissing
업태구분명 has 5419 (100.0%) missing valuesMissing
좌표정보(x) has 680 (12.5%) missing valuesMissing
좌표정보(y) has 680 (12.5%) missing valuesMissing
자산규모 has 4095 (75.6%) missing valuesMissing
부채총액 has 4104 (75.7%) missing valuesMissing
자본금 has 4094 (75.5%) missing valuesMissing
판매방식명 has 5419 (100.0%) missing valuesMissing
Unnamed: 32 has 5419 (100.0%) missing valuesMissing
관리번호 is highly skewed (γ1 = -68.21622551)Skewed
자산규모 is highly skewed (γ1 = 29.94629482)Skewed
부채총액 is highly skewed (γ1 = 25.09326896)Skewed
자본금 is highly skewed (γ1 = 25.51849097)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매방식명 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
자산규모 has 195 (3.6%) zerosZeros
부채총액 has 748 (13.8%) zerosZeros
자본금 has 156 (2.9%) zerosZeros

Reproduction

Analysis started2024-04-16 18:21:37.011686
Analysis finished2024-04-16 18:21:38.528039
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5419
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2710
Minimum1
Maximum5419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:38.598656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile271.9
Q11355.5
median2710
Q34064.5
95-th percentile5148.1
Maximum5419
Range5418
Interquartile range (IQR)2709

Descriptive statistics

Standard deviation1564.4749
Coefficient of variation (CV)0.57729701
Kurtosis-1.2
Mean2710
Median Absolute Deviation (MAD)1355
Skewness0
Sum14685490
Variance2447581.7
MonotonicityStrictly increasing
2024-04-17T03:21:38.738376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3611 1
 
< 0.1%
3619 1
 
< 0.1%
3618 1
 
< 0.1%
3617 1
 
< 0.1%
3616 1
 
< 0.1%
3615 1
 
< 0.1%
3614 1
 
< 0.1%
3613 1
 
< 0.1%
3612 1
 
< 0.1%
Other values (5409) 5409
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5419 1
< 0.1%
5418 1
< 0.1%
5417 1
< 0.1%
5416 1
< 0.1%
5415 1
< 0.1%
5414 1
< 0.1%
5413 1
< 0.1%
5412 1
< 0.1%
5411 1
< 0.1%
5410 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
방문판매업
5419 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방문판매업 5419
100.0%

Length

2024-04-17T03:21:38.864411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:38.951824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문판매업 5419
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
08_26_02_P
5419 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_02_P
2nd row08_26_02_P
3rd row08_26_02_P
4th row08_26_02_P
5th row08_26_02_P

Common Values

ValueCountFrequency (%)
08_26_02_P 5419
100.0%

Length

2024-04-17T03:21:39.053546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:39.141354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_02_p 5419
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322424.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:39.221345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3320000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39017.885
Coefficient of variation (CV)0.011743798
Kurtosis-1.010328
Mean3322424.8
Median Absolute Deviation (MAD)30000
Skewness0.27700694
Sum1.800422 × 1010
Variance1.5223954 × 109
MonotonicityNot monotonic
2024-04-17T03:21:39.353024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 1194
22.0%
3300000 540
10.0%
3330000 518
9.6%
3370000 515
9.5%
3350000 412
 
7.6%
3270000 325
 
6.0%
3380000 307
 
5.7%
3310000 303
 
5.6%
3340000 276
 
5.1%
3320000 259
 
4.8%
Other values (6) 770
14.2%
ValueCountFrequency (%)
3250000 118
 
2.2%
3260000 104
 
1.9%
3270000 325
 
6.0%
3280000 98
 
1.8%
3290000 1194
22.0%
3300000 540
10.0%
3310000 303
 
5.6%
3320000 259
 
4.8%
3330000 518
9.6%
3340000 276
 
5.1%
ValueCountFrequency (%)
3400000 116
 
2.1%
3390000 253
4.7%
3380000 307
5.7%
3370000 515
9.5%
3360000 81
 
1.5%
3350000 412
7.6%
3340000 276
5.1%
3330000 518
9.6%
3320000 259
4.8%
3310000 303
5.6%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct5419
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0107462 × 1018
Minimum2.004329 × 1017
Maximum2.02134 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:39.504962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.004329 × 1017
5-th percentile2.001333 × 1018
Q12.007333 × 1018
median2.010338 × 1018
Q32.015335 × 1018
95-th percentile2.020329 × 1018
Maximum2.02134 × 1018
Range1.8209071 × 1018
Interquartile range (IQR)8.0020018 × 1015

Descriptive statistics

Standard deviation2.5228937 × 1016
Coefficient of variation (CV)0.012547052
Kurtosis4895.4814
Mean2.0107462 × 1018
Median Absolute Deviation (MAD)3.9950041 × 1015
Skewness-68.216226
Sum-5.7922357 × 1018
Variance6.3649928 × 1032
MonotonicityNot monotonic
2024-04-17T03:21:39.641335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008323200007 1
 
< 0.1%
2008335008023200004 1
 
< 0.1%
2010335008023200003 1
 
< 0.1%
2008335008023200018 1
 
< 0.1%
2008335008023200009 1
 
< 0.1%
2011335008523200014 1
 
< 0.1%
2011335008523200013 1
 
< 0.1%
2008335008023200008 1
 
< 0.1%
2008335008023200007 1
 
< 0.1%
2008335008023200006 1
 
< 0.1%
Other values (5409) 5409
99.8%
ValueCountFrequency (%)
200432900852320035 1
< 0.1%
1996326006523200008 1
< 0.1%
1996326006523200015 1
< 0.1%
1996326006523200018 1
< 0.1%
1996326006523200063 1
< 0.1%
1996326006623200004 1
< 0.1%
1996329008523200001 1
< 0.1%
1996329008523200002 1
< 0.1%
1996329008523200003 1
< 0.1%
1996329008523200004 1
< 0.1%
ValueCountFrequency (%)
2021340010923200002 1
< 0.1%
2021340010923200001 1
< 0.1%
2021339010923200003 1
< 0.1%
2021339010923200002 1
< 0.1%
2021339010923200001 1
< 0.1%
2021338008223200001 1
< 0.1%
2021337010623200003 1
< 0.1%
2021337010623200002 1
< 0.1%
2021337010623200001 1
< 0.1%
2021336014523200001 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3061
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20106122
Minimum19960101
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:39.803827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960101
5-th percentile20010731
Q120070604
median20100813
Q320150420
95-th percentile20200102
Maximum20210129
Range250028
Interquartile range (IQR)79816

Descriptive statistics

Standard deviation55450.255
Coefficient of variation (CV)0.0027578792
Kurtosis-0.40560582
Mean20106122
Median Absolute Deviation (MAD)39605
Skewness-0.17657889
Sum1.0895507 × 1011
Variance3.0747308 × 109
MonotonicityNot monotonic
2024-04-17T03:21:39.946248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130924 12
 
0.2%
20200129 12
 
0.2%
20130925 11
 
0.2%
20080826 10
 
0.2%
20200102 10
 
0.2%
20070312 9
 
0.2%
20130926 9
 
0.2%
20100524 8
 
0.1%
20080527 8
 
0.1%
20170619 8
 
0.1%
Other values (3051) 5322
98.2%
ValueCountFrequency (%)
19960101 1
 
< 0.1%
19960226 1
 
< 0.1%
19960816 1
 
< 0.1%
19960826 1
 
< 0.1%
19960827 2
< 0.1%
19960828 2
< 0.1%
19960829 1
 
< 0.1%
19960830 1
 
< 0.1%
19960902 1
 
< 0.1%
19960903 3
0.1%
ValueCountFrequency (%)
20210129 3
0.1%
20210128 1
 
< 0.1%
20210127 3
0.1%
20210125 3
0.1%
20210121 1
 
< 0.1%
20210120 1
 
< 0.1%
20210119 4
0.1%
20210115 1
 
< 0.1%
20210114 1
 
< 0.1%
20210111 1
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)18.7%
Missing5103
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean20093533
Minimum20060630
Maximum22070711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:40.091407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060630
5-th percentile20070711
Q120071218
median20081226
Q320100514
95-th percentile20111111
Maximum22070711
Range2010081
Interquartile range (IQR)29296

Descriptive statistics

Standard deviation113048.62
Coefficient of variation (CV)0.0056261199
Kurtosis299.72649
Mean20093533
Median Absolute Deviation (MAD)10515
Skewness17.095782
Sum6.3495563 × 109
Variance1.2779991 × 1010
MonotonicityNot monotonic
2024-04-17T03:21:40.261334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070711 60
 
1.1%
20081226 45
 
0.8%
20100514 24
 
0.4%
20101231 24
 
0.4%
20071218 19
 
0.4%
20091006 16
 
0.3%
20080908 10
 
0.2%
20100422 9
 
0.2%
20100413 9
 
0.2%
20080917 8
 
0.1%
Other values (49) 92
 
1.7%
(Missing) 5103
94.2%
ValueCountFrequency (%)
20060630 1
 
< 0.1%
20070122 1
 
< 0.1%
20070711 60
1.1%
20070725 1
 
< 0.1%
20070828 1
 
< 0.1%
20070904 1
 
< 0.1%
20071002 1
 
< 0.1%
20071029 1
 
< 0.1%
20071218 19
 
0.4%
20071220 6
 
0.1%
ValueCountFrequency (%)
22070711 1
< 0.1%
20191230 1
< 0.1%
20171107 1
< 0.1%
20171031 2
< 0.1%
20151013 1
< 0.1%
20150415 1
< 0.1%
20141125 1
< 0.1%
20131125 1
< 0.1%
20131122 1
< 0.1%
20130814 1
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
3
2745 
4
1766 
1
875 
2
 
33

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2745
50.7%
4 1766
32.6%
1 875
 
16.1%
2 33
 
0.6%

Length

2024-04-17T03:21:40.405864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:40.503591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2745
50.7%
4 1766
32.6%
1 875
 
16.1%
2 33
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
폐업
2745 
취소/말소/만료/정지/중지
1766 
영업/정상
875 
휴업
 
33

Length

Max length14
Median length2
Mean length6.3950913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2745
50.7%
취소/말소/만료/정지/중지 1766
32.6%
영업/정상 875
 
16.1%
휴업 33
 
0.6%

Length

2024-04-17T03:21:40.618633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:40.719980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2745
50.7%
취소/말소/만료/정지/중지 1766
32.6%
영업/정상 875
 
16.1%
휴업 33
 
0.6%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7626868
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:40.816362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q37
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0535834
Coefficient of variation (CV)0.54577579
Kurtosis-0.88264874
Mean3.7626868
Median Absolute Deviation (MAD)0
Skewness0.57779792
Sum20390
Variance4.2172047
MonotonicityNot monotonic
2024-04-17T03:21:40.922952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 2745
50.7%
7 1377
25.4%
1 872
 
16.1%
4 389
 
7.2%
2 33
 
0.6%
8 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
1 872
 
16.1%
2 33
 
0.6%
3 2745
50.7%
4 389
 
7.2%
6 1
 
< 0.1%
7 1377
25.4%
8 2
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 1377
25.4%
6 1
 
< 0.1%
4 389
 
7.2%
3 2745
50.7%
2 33
 
0.6%
1 872
 
16.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
폐업처리
2745 
직권말소
1377 
정상영업
872 
직권취소
389 
휴업처리
 
33
Other values (2)
 
3

Length

Max length6
Median length4
Mean length4.0003691
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2745
50.7%
직권말소 1377
25.4%
정상영업 872
 
16.1%
직권취소 389
 
7.2%
휴업처리 33
 
0.6%
영업재개 2
 
< 0.1%
타시군구전입 1
 
< 0.1%

Length

2024-04-17T03:21:41.053572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:41.183626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2745
50.7%
직권말소 1377
25.4%
정상영업 872
 
16.1%
직권취소 389
 
7.2%
휴업처리 33
 
0.6%
영업재개 2
 
< 0.1%
타시군구전입 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1674
Distinct (%)61.0%
Missing2675
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean20135669
Minimum20030204
Maximum22020723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:41.332408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030204
5-th percentile20071110
Q120100831
median20130924
Q320170712
95-th percentile20200728
Maximum22020723
Range1990519
Interquartile range (IQR)69880.75

Descriptive statistics

Standard deviation54257.649
Coefficient of variation (CV)0.0026946037
Kurtosis529.92103
Mean20135669
Median Absolute Deviation (MAD)30516
Skewness15.335772
Sum5.5252276 × 1010
Variance2.9438925 × 109
MonotonicityNot monotonic
2024-04-17T03:21:41.467061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200320 18
 
0.3%
20200319 11
 
0.2%
20130909 10
 
0.2%
20131025 10
 
0.2%
20131028 10
 
0.2%
20141231 9
 
0.2%
20070531 9
 
0.2%
20131024 8
 
0.1%
20130830 8
 
0.1%
20090529 8
 
0.1%
Other values (1664) 2643
48.8%
(Missing) 2675
49.4%
ValueCountFrequency (%)
20030204 1
< 0.1%
20031006 1
< 0.1%
20040520 1
< 0.1%
20050630 1
< 0.1%
20060320 1
< 0.1%
20060425 1
< 0.1%
20060612 1
< 0.1%
20060630 2
< 0.1%
20060928 1
< 0.1%
20061011 1
< 0.1%
ValueCountFrequency (%)
22020723 1
 
< 0.1%
20210129 1
 
< 0.1%
20210128 1
 
< 0.1%
20210127 1
 
< 0.1%
20210126 3
0.1%
20210125 1
 
< 0.1%
20210120 1
 
< 0.1%
20210119 1
 
< 0.1%
20210118 1
 
< 0.1%
20210115 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)89.5%
Missing5381
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20175885
Minimum20070716
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:41.614029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070716
5-th percentile20087484
Q120171106
median20185714
Q320200492
95-th percentile20200970
Maximum20210101
Range139385
Interquartile range (IQR)29386.75

Descriptive statistics

Standard deviation34340.816
Coefficient of variation (CV)0.0017020724
Kurtosis4.0934892
Mean20175885
Median Absolute Deviation (MAD)14653
Skewness-2.1226099
Sum7.6668362 × 108
Variance1.1792917 × 109
MonotonicityNot monotonic
2024-04-17T03:21:41.737578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20200929 2
 
< 0.1%
20181114 2
 
< 0.1%
20181201 2
 
< 0.1%
20200827 2
 
< 0.1%
20160819 1
 
< 0.1%
20190227 1
 
< 0.1%
20090427 1
 
< 0.1%
20171219 1
 
< 0.1%
20191211 1
 
< 0.1%
20191228 1
 
< 0.1%
Other values (24) 24
 
0.4%
(Missing) 5381
99.3%
ValueCountFrequency (%)
20070716 1
< 0.1%
20070806 1
< 0.1%
20090427 1
< 0.1%
20110421 1
< 0.1%
20160819 1
< 0.1%
20161121 1
< 0.1%
20170927 1
< 0.1%
20171001 1
< 0.1%
20171019 1
< 0.1%
20171103 1
< 0.1%
ValueCountFrequency (%)
20210101 1
< 0.1%
20201203 1
< 0.1%
20200929 2
< 0.1%
20200924 1
< 0.1%
20200827 2
< 0.1%
20200820 1
< 0.1%
20200801 1
< 0.1%
20200622 1
< 0.1%
20200103 1
< 0.1%
20191228 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)78.9%
Missing5381
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20206992
Minimum20071231
Maximum20991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:41.859420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071231
5-th percentile20097547
Q120180976
median20191172
Q320210326
95-th percentile20231854
Maximum20991231
Range920000
Interquartile range (IQR)29350.5

Descriptive statistics

Standard deviation135587.46
Coefficient of variation (CV)0.0067099281
Kurtosis32.393359
Mean20206992
Median Absolute Deviation (MAD)10742.5
Skewness5.4448642
Sum7.6786568 × 108
Variance1.8383959 × 1010
MonotonicityNot monotonic
2024-04-17T03:21:42.314615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20201231 5
 
0.1%
20211231 3
 
0.1%
20191113 2
 
< 0.1%
20190601 2
 
< 0.1%
20210101 1
 
< 0.1%
20100426 1
 
< 0.1%
20180531 1
 
< 0.1%
20201227 1
 
< 0.1%
20181231 1
 
< 0.1%
20081231 1
 
< 0.1%
Other values (20) 20
 
0.4%
(Missing) 5381
99.3%
ValueCountFrequency (%)
20071231 1
< 0.1%
20081231 1
< 0.1%
20100426 1
< 0.1%
20120421 1
< 0.1%
20161231 1
< 0.1%
20171120 1
< 0.1%
20180131 1
< 0.1%
20180328 1
< 0.1%
20180531 1
< 0.1%
20180930 1
< 0.1%
ValueCountFrequency (%)
20991231 1
 
< 0.1%
20241224 1
 
< 0.1%
20230201 1
 
< 0.1%
20211231 3
0.1%
20211230 1
 
< 0.1%
20211211 1
 
< 0.1%
20210831 1
 
< 0.1%
20210401 1
 
< 0.1%
20210101 1
 
< 0.1%
20201231 5
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing5405
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20144954
Minimum20081114
Maximum20201217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:42.428631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081114
5-th percentile20087166
Q120100143
median20155162
Q320188308
95-th percentile20201021
Maximum20201217
Range120103
Interquartile range (IQR)88165.25

Descriptive statistics

Standard deviation49137.188
Coefficient of variation (CV)0.002439181
Kurtosis-2.0731906
Mean20144954
Median Absolute Deviation (MAD)45903.5
Skewness-0.06748614
Sum2.8202935 × 108
Variance2.4144632 × 109
MonotonicityNot monotonic
2024-04-17T03:21:42.538899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20100930 1
 
< 0.1%
20181123 1
 
< 0.1%
20100118 1
 
< 0.1%
20100217 1
 
< 0.1%
20130222 1
 
< 0.1%
20180525 1
 
< 0.1%
20180103 1
 
< 0.1%
20200513 1
 
< 0.1%
20190703 1
 
< 0.1%
20200915 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 5405
99.7%
ValueCountFrequency (%)
20081114 1
< 0.1%
20090424 1
< 0.1%
20091230 1
< 0.1%
20100118 1
< 0.1%
20100217 1
< 0.1%
20100930 1
< 0.1%
20130222 1
< 0.1%
20180103 1
< 0.1%
20180525 1
< 0.1%
20181123 1
< 0.1%
ValueCountFrequency (%)
20201217 1
< 0.1%
20200915 1
< 0.1%
20200513 1
< 0.1%
20190703 1
< 0.1%
20181123 1
< 0.1%
20180525 1
< 0.1%
20180103 1
< 0.1%
20130222 1
< 0.1%
20100930 1
< 0.1%
20100217 1
< 0.1%

소재지전화
Text

MISSING 

Distinct3876
Distinct (%)93.4%
Missing1267
Missing (%)23.4%
Memory size42.5 KiB
2024-04-17T03:21:42.842614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.075626
Min length1

Characters and Unicode

Total characters45986
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3658 ?
Unique (%)88.1%

Sample

1st row051-442-0009
2nd row051-315-0102
3rd row051-464-2215
4th row051-466-1155
5th row051-558-0337
ValueCountFrequency (%)
051 797
 
13.9%
583 21
 
0.4%
505 17
 
0.3%
868 16
 
0.3%
515 16
 
0.3%
853 16
 
0.3%
865 15
 
0.3%
581 14
 
0.2%
582 12
 
0.2%
517 12
 
0.2%
Other values (4017) 4802
83.7%
2024-04-17T03:21:43.305015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6961
15.1%
5 6728
14.6%
1 6314
13.7%
- 4967
10.8%
8 3316
7.2%
6 2951
6.4%
3 2897
6.3%
7 2877
6.3%
2 2812
6.1%
4 2509
 
5.5%
Other values (7) 3654
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39319
85.5%
Dash Punctuation 4967
 
10.8%
Space Separator 1639
 
3.6%
Close Punctuation 34
 
0.1%
Math Symbol 21
 
< 0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6961
17.7%
5 6728
17.1%
1 6314
16.1%
8 3316
8.4%
6 2951
7.5%
3 2897
7.4%
7 2877
7.3%
2 2812
7.2%
4 2509
 
6.4%
9 1954
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 20
95.2%
～ 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
" 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4967
100.0%
Space Separator
ValueCountFrequency (%)
1639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45986
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6961
15.1%
5 6728
14.6%
1 6314
13.7%
- 4967
10.8%
8 3316
7.2%
6 2951
6.4%
3 2897
6.3%
7 2877
6.3%
2 2812
6.1%
4 2509
 
5.5%
Other values (7) 3654
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45985
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6961
15.1%
5 6728
14.6%
1 6314
13.7%
- 4967
10.8%
8 3316
7.2%
6 2951
6.4%
3 2897
6.3%
7 2877
6.3%
2 2812
6.1%
4 2509
 
5.5%
Other values (6) 3653
7.9%
None
ValueCountFrequency (%)
～ 1
100.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5419
Missing (%)100.0%
Memory size47.8 KiB

소재지우편번호
Text

MISSING 

Distinct699
Distinct (%)24.7%
Missing2589
Missing (%)47.8%
Memory size42.5 KiB
2024-04-17T03:21:43.633912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters16980
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique290 ?
Unique (%)10.2%

Sample

1st row600014
2nd row600816
3rd row600110
4th row600811
5th row600074
ValueCountFrequency (%)
614030 55
 
1.9%
614020 53
 
1.9%
614050 50
 
1.8%
612020 45
 
1.6%
611080 41
 
1.4%
607060 38
 
1.3%
614853 34
 
1.2%
614854 32
 
1.1%
614040 32
 
1.1%
612030 30
 
1.1%
Other values (689) 2420
85.5%
2024-04-17T03:21:44.065834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3576
21.1%
6 3323
19.6%
1 3214
18.9%
8 1769
10.4%
4 1386
 
8.2%
2 1021
 
6.0%
3 891
 
5.2%
7 851
 
5.0%
9 446
 
2.6%
5 432
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16909
99.6%
Dash Punctuation 71
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3576
21.1%
6 3323
19.7%
1 3214
19.0%
8 1769
10.5%
4 1386
 
8.2%
2 1021
 
6.0%
3 891
 
5.3%
7 851
 
5.0%
9 446
 
2.6%
5 432
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3576
21.1%
6 3323
19.6%
1 3214
18.9%
8 1769
10.4%
4 1386
 
8.2%
2 1021
 
6.0%
3 891
 
5.2%
7 851
 
5.0%
9 446
 
2.6%
5 432
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3576
21.1%
6 3323
19.6%
1 3214
18.9%
8 1769
10.4%
4 1386
 
8.2%
2 1021
 
6.0%
3 891
 
5.2%
7 851
 
5.0%
9 446
 
2.6%
5 432
 
2.5%

소재지전체주소
Text

MISSING 

Distinct4241
Distinct (%)92.8%
Missing848
Missing (%)15.6%
Memory size42.5 KiB
2024-04-17T03:21:44.419569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length27.076788
Min length7

Characters and Unicode

Total characters123768
Distinct characters512
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3997 ?
Unique (%)87.4%

Sample

1st row부산광역시 중구 중앙동4가 76번지 1호
2nd row부산광역시 중구 대창동1가 54번지 1호 센트렐오피스텔
3rd row부산광역시 중구 신창동4가 21-3 국제시장6공구
4th row부산광역시 중구 영주동 289번지 1호
5th row부산광역시 중구 중앙동4가 일광빌딩 3층
ValueCountFrequency (%)
부산광역시 4343
 
16.8%
부산진구 1002
 
3.9%
동래구 465
 
1.8%
1호 461
 
1.8%
연제구 421
 
1.6%
해운대구 400
 
1.6%
금정구 358
 
1.4%
수영구 270
 
1.0%
2호 261
 
1.0%
동구 259
 
1.0%
Other values (4519) 17544
68.0%
2024-04-17T03:21:44.943812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21375
 
17.3%
산 5920
 
4.8%
1 5913
 
4.8%
부 5845
 
4.7%
동 5722
 
4.6%
광 4500
 
3.6%
시 4457
 
3.6%
구 4429
 
3.6%
역 4360
 
3.5%
호 4298
 
3.5%
Other values (502) 56949
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74314
60.0%
Decimal Number 26791
 
21.6%
Space Separator 21375
 
17.3%
Dash Punctuation 802
 
0.6%
Uppercase Letter 283
 
0.2%
Other Punctuation 112
 
0.1%
Open Punctuation 30
 
< 0.1%
Close Punctuation 30
 
< 0.1%
Lowercase Letter 25
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 5920
 
8.0%
부 5845
 
7.9%
동 5722
 
7.7%
광 4500
 
6.1%
시 4457
 
6.0%
구 4429
 
6.0%
역 4360
 
5.9%
호 4298
 
5.8%
지 3922
 
5.3%
번 3744
 
5.0%
Other values (448) 27117
36.5%
Uppercase Letter
ValueCountFrequency (%)
B 63
22.3%
K 48
17.0%
T 40
14.1%
S 28
9.9%
A 25
 
8.8%
D 25
 
8.8%
O 10
 
3.5%
G 10
 
3.5%
C 6
 
2.1%
H 6
 
2.1%
Other values (11) 22
 
7.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
28.0%
s 4
16.0%
l 2
 
8.0%
t 2
 
8.0%
o 2
 
8.0%
k 2
 
8.0%
c 1
 
4.0%
u 1
 
4.0%
i 1
 
4.0%
q 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 5913
22.1%
2 3755
14.0%
3 3123
11.7%
0 2535
9.5%
4 2528
9.4%
5 2103
 
7.8%
6 1845
 
6.9%
7 1786
 
6.7%
8 1783
 
6.7%
9 1420
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 48
42.9%
/ 45
40.2%
@ 11
 
9.8%
& 5
 
4.5%
· 2
 
1.8%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
21375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 802
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74313
60.0%
Common 49146
39.7%
Latin 308
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 5920
 
8.0%
부 5845
 
7.9%
동 5722
 
7.7%
광 4500
 
6.1%
시 4457
 
6.0%
구 4429
 
6.0%
역 4360
 
5.9%
호 4298
 
5.8%
지 3922
 
5.3%
번 3744
 
5.0%
Other values (447) 27116
36.5%
Latin
ValueCountFrequency (%)
B 63
20.5%
K 48
15.6%
T 40
13.0%
S 28
9.1%
A 25
 
8.1%
D 25
 
8.1%
O 10
 
3.2%
G 10
 
3.2%
e 7
 
2.3%
C 6
 
1.9%
Other values (23) 46
14.9%
Common
ValueCountFrequency (%)
21375
43.5%
1 5913
 
12.0%
2 3755
 
7.6%
3 3123
 
6.4%
0 2535
 
5.2%
4 2528
 
5.1%
5 2103
 
4.3%
6 1845
 
3.8%
7 1786
 
3.6%
8 1783
 
3.6%
Other values (11) 2400
 
4.9%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74313
60.0%
ASCII 49452
40.0%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21375
43.2%
1 5913
 
12.0%
2 3755
 
7.6%
3 3123
 
6.3%
0 2535
 
5.1%
4 2528
 
5.1%
5 2103
 
4.3%
6 1845
 
3.7%
7 1786
 
3.6%
8 1783
 
3.6%
Other values (43) 2706
 
5.5%
Hangul
ValueCountFrequency (%)
산 5920
 
8.0%
부 5845
 
7.9%
동 5722
 
7.7%
광 4500
 
6.1%
시 4457
 
6.0%
구 4429
 
6.0%
역 4360
 
5.9%
호 4298
 
5.8%
지 3922
 
5.3%
번 3744
 
5.0%
Other values (447) 27116
36.5%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

도로명전체주소
Text

MISSING 

Distinct4356
Distinct (%)93.5%
Missing759
Missing (%)14.0%
Memory size42.5 KiB
2024-04-17T03:21:45.294136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length32.85515
Min length14

Characters and Unicode

Total characters153105
Distinct characters537
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4126 ?
Unique (%)88.5%

Sample

1st row부산광역시 중구 중앙대로 160, 송남빌딩 1층 101호 (중앙동4가)
2nd row부산광역시 중구 중앙대로 131, 센트렐오피스텔 808호 (대창동1가)
3rd row부산광역시 중구 중구로 28, 국제시장6공구 B동 2층 78호 (신창동4가)
4th row부산광역시 중구 동영로 33, 1층 (영주동)
5th row부산광역시 중구 해관로 73, 3층 (중앙동4가, 영남빌딩)
ValueCountFrequency (%)
부산광역시 4657
 
16.4%
부산진구 1130
 
4.0%
중앙대로 452
 
1.6%
연제구 452
 
1.6%
동래구 439
 
1.5%
해운대구 400
 
1.4%
2층 338
 
1.2%
동구 314
 
1.1%
금정구 282
 
1.0%
3층 263
 
0.9%
Other values (5177) 19669
69.3%
2024-04-17T03:21:45.788149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23749
 
15.5%
동 6566
 
4.3%
부 6408
 
4.2%
산 6405
 
4.2%
1 5445
 
3.6%
시 4939
 
3.2%
광 4887
 
3.2%
구 4738
 
3.1%
, 4694
 
3.1%
역 4675
 
3.1%
Other values (527) 80599
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89340
58.4%
Decimal Number 24978
 
16.3%
Space Separator 23749
 
15.5%
Other Punctuation 4740
 
3.1%
Close Punctuation 4602
 
3.0%
Open Punctuation 4601
 
3.0%
Dash Punctuation 671
 
0.4%
Uppercase Letter 391
 
0.3%
Lowercase Letter 19
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6566
 
7.3%
부 6408
 
7.2%
산 6405
 
7.2%
시 4939
 
5.5%
광 4887
 
5.5%
구 4738
 
5.3%
역 4675
 
5.2%
로 4651
 
5.2%
대 2513
 
2.8%
길 1805
 
2.0%
Other values (475) 41753
46.7%
Uppercase Letter
ValueCountFrequency (%)
B 74
18.9%
K 57
14.6%
T 54
13.8%
A 42
10.7%
S 30
7.7%
D 29
 
7.4%
C 19
 
4.9%
O 15
 
3.8%
G 12
 
3.1%
E 11
 
2.8%
Other values (13) 48
12.3%
Decimal Number
ValueCountFrequency (%)
1 5445
21.8%
2 3809
15.2%
0 3073
12.3%
3 2752
11.0%
4 2111
 
8.5%
5 1877
 
7.5%
6 1706
 
6.8%
7 1523
 
6.1%
9 1427
 
5.7%
8 1255
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
36.8%
k 3
15.8%
t 2
 
10.5%
s 2
 
10.5%
l 2
 
10.5%
c 1
 
5.3%
i 1
 
5.3%
a 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 4694
99.0%
/ 37
 
0.8%
& 5
 
0.1%
· 2
 
< 0.1%
. 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
23749
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4602
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4601
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 671
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89339
58.4%
Common 63354
41.4%
Latin 411
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6566
 
7.3%
부 6408
 
7.2%
산 6405
 
7.2%
시 4939
 
5.5%
광 4887
 
5.5%
구 4738
 
5.3%
역 4675
 
5.2%
로 4651
 
5.2%
대 2513
 
2.8%
길 1805
 
2.0%
Other values (474) 41752
46.7%
Latin
ValueCountFrequency (%)
B 74
18.0%
K 57
13.9%
T 54
13.1%
A 42
10.2%
S 30
7.3%
D 29
 
7.1%
C 19
 
4.6%
O 15
 
3.6%
G 12
 
2.9%
E 11
 
2.7%
Other values (22) 68
16.5%
Common
ValueCountFrequency (%)
23749
37.5%
1 5445
 
8.6%
, 4694
 
7.4%
) 4602
 
7.3%
( 4601
 
7.3%
2 3809
 
6.0%
0 3073
 
4.9%
3 2752
 
4.3%
4 2111
 
3.3%
5 1877
 
3.0%
Other values (10) 6641
 
10.5%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89339
58.4%
ASCII 63762
41.6%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23749
37.2%
1 5445
 
8.5%
, 4694
 
7.4%
) 4602
 
7.2%
( 4601
 
7.2%
2 3809
 
6.0%
0 3073
 
4.8%
3 2752
 
4.3%
4 2111
 
3.3%
5 1877
 
2.9%
Other values (40) 7049
 
11.1%
Hangul
ValueCountFrequency (%)
동 6566
 
7.3%
부 6408
 
7.2%
산 6405
 
7.2%
시 4939
 
5.5%
광 4887
 
5.5%
구 4738
 
5.3%
역 4675
 
5.2%
로 4651
 
5.2%
대 2513
 
2.8%
길 1805
 
2.0%
Other values (474) 41752
46.7%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1364
Distinct (%)49.8%
Missing2681
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean286547.57
Minimum46007
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:45.931492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46007
5-th percentile46274
Q147536.25
median48742
Q3611815.75
95-th percentile616820.15
Maximum619963
Range573956
Interquartile range (IQR)564279.5

Descriptive statistics

Standard deviation278686.97
Coefficient of variation (CV)0.97256791
Kurtosis-1.9050851
Mean286547.57
Median Absolute Deviation (MAD)2197.5
Skewness0.30948091
Sum7.8456723 × 108
Variance7.7666425 × 1010
MonotonicityNot monotonic
2024-04-17T03:21:46.065714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 25
 
0.5%
47596 24
 
0.4%
614853 23
 
0.4%
611839 17
 
0.3%
47542 14
 
0.3%
47209 14
 
0.3%
614849 14
 
0.3%
47257 13
 
0.2%
614865 13
 
0.2%
48092 12
 
0.2%
Other values (1354) 2569
47.4%
(Missing) 2681
49.5%
ValueCountFrequency (%)
46007 1
 
< 0.1%
46008 1
 
< 0.1%
46009 1
 
< 0.1%
46011 1
 
< 0.1%
46013 1
 
< 0.1%
46014 2
 
< 0.1%
46015 7
0.1%
46017 2
 
< 0.1%
46020 1
 
< 0.1%
46021 1
 
< 0.1%
ValueCountFrequency (%)
619963 1
 
< 0.1%
619962 1
 
< 0.1%
619912 1
 
< 0.1%
619906 3
 
0.1%
619905 4
 
0.1%
619903 12
0.2%
619902 1
 
< 0.1%
619901 1
 
< 0.1%
619900 1
 
< 0.1%
619873 1
 
< 0.1%

사업장명
Text

Distinct4924
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
2024-04-17T03:21:46.373319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length7.1422772
Min length1

Characters and Unicode

Total characters38704
Distinct characters762
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4618 ?
Unique (%)85.2%

Sample

1st row쌍용자동차부산중앙판매대리점
2nd row주식회사 비즈커뮤니케이션(BIZCommunication Co.,Ltd.)
3rd row금호 ENG
4th row이든 네이처
5th row㈜한국청년여행사
ValueCountFrequency (%)
주식회사 286
 
4.2%
인셀덤 111
 
1.6%
유니베라 34
 
0.5%
마임 30
 
0.4%
르네셀 26
 
0.4%
윤선생영어교실 26
 
0.4%
주 25
 
0.4%
건강생활 19
 
0.3%
오휘 16
 
0.2%
한국야쿠르트 16
 
0.2%
Other values (5199) 6283
91.4%
2024-04-17T03:21:46.803675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1491
 
3.9%
사 1123
 
2.9%
주 1082
 
2.8%
이 973
 
2.5%
) 885
 
2.3%
( 882
 
2.3%
지 795
 
2.1%
리 730
 
1.9%
스 722
 
1.9%
대 614
 
1.6%
Other values (752) 29407
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33496
86.5%
Space Separator 1491
 
3.9%
Uppercase Letter 945
 
2.4%
Close Punctuation 885
 
2.3%
Open Punctuation 882
 
2.3%
Lowercase Letter 471
 
1.2%
Other Symbol 277
 
0.7%
Other Punctuation 143
 
0.4%
Decimal Number 87
 
0.2%
Dash Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1123
 
3.4%
주 1082
 
3.2%
이 973
 
2.9%
지 795
 
2.4%
리 730
 
2.2%
스 722
 
2.2%
대 614
 
1.8%
점 596
 
1.8%
산 592
 
1.8%
부 580
 
1.7%
Other values (676) 25689
76.7%
Uppercase Letter
ValueCountFrequency (%)
S 102
 
10.8%
C 75
 
7.9%
K 67
 
7.1%
M 56
 
5.9%
B 56
 
5.9%
G 51
 
5.4%
H 47
 
5.0%
N 44
 
4.7%
A 44
 
4.7%
T 44
 
4.7%
Other values (16) 359
38.0%
Lowercase Letter
ValueCountFrequency (%)
e 62
13.2%
o 46
 
9.8%
n 42
 
8.9%
t 35
 
7.4%
a 35
 
7.4%
i 32
 
6.8%
r 29
 
6.2%
l 27
 
5.7%
c 24
 
5.1%
u 21
 
4.5%
Other values (15) 118
25.1%
Decimal Number
ValueCountFrequency (%)
1 30
34.5%
2 21
24.1%
0 10
 
11.5%
3 8
 
9.2%
4 6
 
6.9%
9 3
 
3.4%
8 3
 
3.4%
6 2
 
2.3%
5 2
 
2.3%
7 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 84
58.7%
& 33
 
23.1%
, 11
 
7.7%
/ 10
 
7.0%
· 2
 
1.4%
＆ 2
 
1.4%
# 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
< 1
 
20.0%
> 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1491
100.0%
Close Punctuation
ValueCountFrequency (%)
) 885
100.0%
Open Punctuation
ValueCountFrequency (%)
( 882
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33766
87.2%
Common 3515
 
9.1%
Latin 1416
 
3.7%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1123
 
3.3%
주 1082
 
3.2%
이 973
 
2.9%
지 795
 
2.4%
리 730
 
2.2%
스 722
 
2.1%
대 614
 
1.8%
점 596
 
1.8%
산 592
 
1.8%
부 580
 
1.7%
Other values (670) 25959
76.9%
Latin
ValueCountFrequency (%)
S 102
 
7.2%
C 75
 
5.3%
K 67
 
4.7%
e 62
 
4.4%
M 56
 
4.0%
B 56
 
4.0%
G 51
 
3.6%
H 47
 
3.3%
o 46
 
3.2%
N 44
 
3.1%
Other values (41) 810
57.2%
Common
ValueCountFrequency (%)
1491
42.4%
) 885
25.2%
( 882
25.1%
. 84
 
2.4%
& 33
 
0.9%
1 30
 
0.9%
- 22
 
0.6%
2 21
 
0.6%
, 11
 
0.3%
/ 10
 
0.3%
Other values (14) 46
 
1.3%
Han
ValueCountFrequency (%)
銘 1
14.3%
曜 1
14.3%
娥 1
14.3%
照 1
14.3%
美 1
14.3%
新 1
14.3%
誠 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33489
86.5%
ASCII 4927
 
12.7%
None 281
 
0.7%
CJK 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1491
30.3%
) 885
18.0%
( 882
17.9%
S 102
 
2.1%
. 84
 
1.7%
C 75
 
1.5%
K 67
 
1.4%
e 62
 
1.3%
M 56
 
1.1%
B 56
 
1.1%
Other values (63) 1167
23.7%
Hangul
ValueCountFrequency (%)
사 1123
 
3.4%
주 1082
 
3.2%
이 973
 
2.9%
지 795
 
2.4%
리 730
 
2.2%
스 722
 
2.2%
대 614
 
1.8%
점 596
 
1.8%
산 592
 
1.8%
부 580
 
1.7%
Other values (669) 25682
76.7%
None
ValueCountFrequency (%)
㈜ 277
98.6%
· 2
 
0.7%
＆ 2
 
0.7%
CJK
ValueCountFrequency (%)
銘 1
14.3%
曜 1
14.3%
娥 1
14.3%
照 1
14.3%
美 1
14.3%
新 1
14.3%
誠 1
14.3%

최종수정시점
Real number (ℝ)

Distinct5351
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141223 × 1013
Minimum2.0070718 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:46.933086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070718 × 1013
5-th percentile2.0080612 × 1013
Q12.0101123 × 1013
median2.0140219 × 1013
Q32.018041 × 1013
95-th percentile2.0200915 × 1013
Maximum2.0210129 × 1013
Range1.3941101 × 1011
Interquartile range (IQR)7.9287548 × 1010

Descriptive statistics

Standard deviation4.0946553 × 1010
Coefficient of variation (CV)0.0020329726
Kurtosis-1.2834642
Mean2.0141223 × 1013
Median Absolute Deviation (MAD)3.951401 × 1010
Skewness0.015324693
Sum1.0914529 × 1017
Variance1.6766202 × 1021
MonotonicityNot monotonic
2024-04-17T03:21:47.071341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080222000000 69
 
1.3%
20181102093733 1
 
< 0.1%
20090529160722 1
 
< 0.1%
20130107102756 1
 
< 0.1%
20150122165538 1
 
< 0.1%
20160224172450 1
 
< 0.1%
20170331134517 1
 
< 0.1%
20091231160846 1
 
< 0.1%
20120823170540 1
 
< 0.1%
20130130173021 1
 
< 0.1%
Other values (5341) 5341
98.6%
ValueCountFrequency (%)
20070718171930 1
< 0.1%
20070719160410 1
< 0.1%
20070719160910 1
< 0.1%
20070719162149 1
< 0.1%
20070720092738 1
< 0.1%
20070724144321 1
< 0.1%
20070725145043 1
< 0.1%
20070727131534 1
< 0.1%
20070731153457 1
< 0.1%
20070808110333 1
< 0.1%
ValueCountFrequency (%)
20210129184915 1
< 0.1%
20210129112724 1
< 0.1%
20210129094020 1
< 0.1%
20210129090954 1
< 0.1%
20210128170650 1
< 0.1%
20210128134726 1
< 0.1%
20210128132238 1
< 0.1%
20210127163736 1
< 0.1%
20210127150819 1
< 0.1%
20210127141606 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
I
4440 
U
979 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 4440
81.9%
U 979
 
18.1%

Length

2024-04-17T03:21:47.194629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:47.297118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 4440
81.9%
u 979
 
18.1%

데이터갱신일자
Date

Distinct576
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-17T03:21:47.404744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T03:21:47.552288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5419
Missing (%)100.0%
Memory size47.8 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3285
Distinct (%)69.3%
Missing680
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean387987.97
Minimum143766.59
Maximum407986.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:47.712237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143766.59
5-th percentile380128.34
Q1385944.86
median388319.35
Q3390361.91
95-th percentile396772.03
Maximum407986.86
Range264220.27
Interquartile range (IQR)4417.0515

Descriptive statistics

Standard deviation8092.3057
Coefficient of variation (CV)0.020857104
Kurtosis439.43318
Mean387987.97
Median Absolute Deviation (MAD)2181.8484
Skewness-16.805882
Sum1.838675 × 109
Variance65485411
MonotonicityNot monotonic
2024-04-17T03:21:47.845570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387225.613588405 48
 
0.9%
386254.204566313 24
 
0.4%
388926.25548886 21
 
0.4%
388485.246432899 18
 
0.3%
387569.894576579 17
 
0.3%
388957.42402057 12
 
0.2%
387579.291668791 12
 
0.2%
387816.362564942 11
 
0.2%
387727.932157079 11
 
0.2%
387840.784136651 10
 
0.2%
Other values (3275) 4555
84.1%
(Missing) 680
 
12.5%
ValueCountFrequency (%)
143766.589725 1
< 0.1%
175006.195246 1
< 0.1%
191098.492659183 1
< 0.1%
195060.182973699 1
< 0.1%
241366.672892 1
< 0.1%
355479.214236437 1
< 0.1%
357259.5261204 1
< 0.1%
365462.497489206 1
< 0.1%
367454.564232222 2
< 0.1%
367538.377345509 1
< 0.1%
ValueCountFrequency (%)
407986.863672426 1
< 0.1%
407637.739307052 1
< 0.1%
407240.89489229 2
< 0.1%
407224.15471702 1
< 0.1%
407089.378718505 1
< 0.1%
406963.422489117 2
< 0.1%
405709.608315206 1
< 0.1%
405621.116198076 1
< 0.1%
404021.654673782 1
< 0.1%
402792.323019555 2
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3289
Distinct (%)69.4%
Missing680
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean187556.32
Minimum143155.75
Maximum445254.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:47.969173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143155.75
5-th percentile179333.05
Q1184599.59
median187285.43
Q3190391.71
95-th percentile195969.6
Maximum445254.8
Range302099.05
Interquartile range (IQR)5792.1195

Descriptive statistics

Standard deviation7743.9117
Coefficient of variation (CV)0.04128846
Kurtosis549.91643
Mean187556.32
Median Absolute Deviation (MAD)2826.4321
Skewness17.598838
Sum8.888294 × 108
Variance59968168
MonotonicityNot monotonic
2024-04-17T03:21:48.092339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186408.726533861 48
 
0.9%
182271.315654303 24
 
0.4%
188502.470592042 21
 
0.4%
187658.396387017 18
 
0.3%
184763.175837622 17
 
0.3%
188908.124798577 12
 
0.2%
184263.875327669 12
 
0.2%
184254.180458819 11
 
0.2%
186316.00373302 11
 
0.2%
184510.669756514 10
 
0.2%
Other values (3279) 4555
84.1%
(Missing) 680
 
12.5%
ValueCountFrequency (%)
143155.75121 1
< 0.1%
171670.619052051 1
< 0.1%
173968.574615591 1
< 0.1%
173982.009447475 2
< 0.1%
174101.406639044 1
< 0.1%
174214.851510997 1
< 0.1%
174289.976688419 1
< 0.1%
174325.807501869 1
< 0.1%
174584.237488718 1
< 0.1%
174641.982653379 1
< 0.1%
ValueCountFrequency (%)
445254.798694218 1
< 0.1%
442715.677609564 1
< 0.1%
349399.284717 1
< 0.1%
275059.908815 1
< 0.1%
210458.376643536 1
< 0.1%
207735.468884494 1
< 0.1%
206547.731929 1
< 0.1%
206343.359052 2
< 0.1%
206281.265893726 1
< 0.1%
206184.609573703 1
< 0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct548
Distinct (%)41.4%
Missing4095
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean1.9187671 × 1010
Minimum0
Maximum9.8225426 × 1012
Zeros195
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:48.256382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000000
median55413500
Q33.0232101 × 108
95-th percentile5.7279788 × 109
Maximum9.8225426 × 1012
Range9.8225426 × 1012
Interquartile range (IQR)2.9232101 × 108

Descriptive statistics

Standard deviation2.8974808 × 1011
Coefficient of variation (CV)15.100743
Kurtosis995.51965
Mean1.9187671 × 1010
Median Absolute Deviation (MAD)55413500
Skewness29.946295
Sum2.5404477 × 1013
Variance8.3953953 × 1022
MonotonicityNot monotonic
2024-04-17T03:21:48.391675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 195
 
3.6%
50000000 193
 
3.6%
10000000 82
 
1.5%
100000000 75
 
1.4%
150000000 37
 
0.7%
20000000 33
 
0.6%
30000000 23
 
0.4%
300000000 21
 
0.4%
200000000 16
 
0.3%
5000000 14
 
0.3%
Other values (538) 635
 
11.7%
(Missing) 4095
75.6%
ValueCountFrequency (%)
0 195
3.6%
3 1
 
< 0.1%
5 1
 
< 0.1%
9 9
 
0.2%
10 1
 
< 0.1%
1000 1
 
< 0.1%
1111 5
 
0.1%
1678 1
 
< 0.1%
11111 2
 
< 0.1%
20000 2
 
< 0.1%
ValueCountFrequency (%)
9822542561050 1
< 0.1%
2093086000000 1
< 0.1%
1683000000000 1
< 0.1%
1324951860547 1
< 0.1%
1057400000000 1
< 0.1%
890658000000 1
< 0.1%
842678000000 1
< 0.1%
813483890826 1
< 0.1%
794845000000 1
< 0.1%
664905532000 1
< 0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct482
Distinct (%)36.7%
Missing4104
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean2.0381865 × 1010
Minimum0
Maximum9.80015 × 1012
Zeros748
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2024-04-17T03:21:48.528270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2743852 × 108
95-th percentile4.5993058 × 109
Maximum9.80015 × 1012
Range9.80015 × 1012
Interquartile range (IQR)1.2743852 × 108

Descriptive statistics

Standard deviation3.3652798 × 1011
Coefficient of variation (CV)16.511148
Kurtosis669.66812
Mean2.0381865 × 1010
Median Absolute Deviation (MAD)0
Skewness25.093269
Sum2.6802153 × 1013
Variance1.1325108 × 1023
MonotonicityNot monotonic
2024-04-17T03:21:48.662950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 748
 
13.8%
50000000 16
 
0.3%
100000000 12
 
0.2%
20000000 9
 
0.2%
10000000 7
 
0.1%
30000000 7
 
0.1%
5000000 6
 
0.1%
1111 5
 
0.1%
300000000 5
 
0.1%
150000000 5
 
0.1%
Other values (472) 495
 
9.1%
(Missing) 4104
75.7%
ValueCountFrequency (%)
0 748
13.8%
10 1
 
< 0.1%
575 1
 
< 0.1%
1111 5
 
0.1%
11111 2
 
< 0.1%
30000 2
 
< 0.1%
30909 1
 
< 0.1%
125860 1
 
< 0.1%
251000 1
 
< 0.1%
327451 1
 
< 0.1%
ValueCountFrequency (%)
9800150000000 1
< 0.1%
6815472285429 1
< 0.1%
1231054505204 1
< 0.1%
993000000000 1
< 0.1%
961000000000 1
< 0.1%
837172000000 1
< 0.1%
783325000000 1
< 0.1%
756388000000 1
< 0.1%
632785237000 1
< 0.1%
623587832477 1
< 0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct280
Distinct (%)21.1%
Missing4094
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean7.9698922 × 109
Minimum-1.6319395 × 1010
Maximum4.4 × 1012
Zeros156
Zeros (%)2.9%
Negative13
Negative (%)0.2%
Memory size47.8 KiB
2024-04-17T03:21:48.808460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6319395 × 1010
5-th percentile0
Q110000000
median50000000
Q31.5 × 108
95-th percentile1.501039 × 109
Maximum4.4 × 1012
Range4.4163194 × 1012
Interquartile range (IQR)1.4 × 108

Descriptive statistics

Standard deviation1.4938683 × 1011
Coefficient of variation (CV)18.743896
Kurtosis687.93741
Mean7.9698922 × 109
Median Absolute Deviation (MAD)50000000
Skewness25.518491
Sum1.0560107 × 1013
Variance2.2316425 × 1022
MonotonicityNot monotonic
2024-04-17T03:21:48.938934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 317
 
5.8%
0 156
 
2.9%
100000000 115
 
2.1%
10000000 105
 
1.9%
150000000 60
 
1.1%
300000000 53
 
1.0%
20000000 36
 
0.7%
30000000 30
 
0.6%
500000000 28
 
0.5%
5000000 21
 
0.4%
Other values (270) 404
 
7.5%
(Missing) 4094
75.5%
ValueCountFrequency (%)
-16319394532 1
< 0.1%
-5332985120 1
< 0.1%
-3389102595 1
< 0.1%
-2175708965 1
< 0.1%
-359742524 1
< 0.1%
-264481613 1
< 0.1%
-86735700 1
< 0.1%
-71927810 1
< 0.1%
-58605896 1
< 0.1%
-40836526 1
< 0.1%
ValueCountFrequency (%)
4400000000000 1
< 0.1%
3007070275621 1
< 0.1%
741481300637 1
< 0.1%
699000000000 1
< 0.1%
353675904358 1
< 0.1%
131372235988 1
< 0.1%
93897355343 1
< 0.1%
76200000000 1
< 0.1%
61194035158 1
< 0.1%
59353000000 1
< 0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5419
Missing (%)100.0%
Memory size47.8 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5419
Missing (%)100.0%
Memory size47.8 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
01방문판매업08_26_02_P3250000201832500832320000720181102<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-442-0009<NA><NA>부산광역시 중구 중앙동4가 76번지 1호부산광역시 중구 중앙대로 160, 송남빌딩 1층 101호 (중앙동4가)48934쌍용자동차부산중앙판매대리점20181102093733I2018-11-04 02:36:12.0<NA>385770.249057181062.506283<NA><NA><NA><NA><NA>
12방문판매업08_26_02_P3250000201932500832320000120190125<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대창동1가 54번지 1호 센트렐오피스텔부산광역시 중구 중앙대로 131, 센트렐오피스텔 808호 (대창동1가)48924주식회사 비즈커뮤니케이션(BIZCommunication Co.,Ltd.)20190125150753I2019-01-27 02:21:01.0<NA>385617.137705180818.49492710000000010000000<NA><NA>
23방문판매업08_26_02_P3250000201632500832320000320160502<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-315-0102<NA><NA>부산광역시 중구 신창동4가 21-3 국제시장6공구부산광역시 중구 중구로 28, 국제시장6공구 B동 2층 78호 (신창동4가)48945금호 ENG20201014104009U2020-10-16 02:40:00.0<NA>385585.321891181149.765236<NA><NA><NA><NA><NA>
34방문판매업08_26_02_P3250000201632500832320000420160712<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-464-2215<NA><NA>부산광역시 중구 영주동 289번지 1호부산광역시 중구 동영로 33, 1층 (영주동)48919이든 네이처20180709100436I2018-08-31 23:59:59.0<NA>385346.707644180851.919228<NA><NA><NA><NA><NA>
45방문판매업08_26_02_P3250000200532500592320015720050323<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-466-1155<NA>600014부산광역시 중구 중앙동4가 일광빌딩 3층부산광역시 중구 해관로 73, 3층 (중앙동4가, 영남빌딩)600815㈜한국청년여행사20210126101221U2021-01-28 02:40:00.0<NA>385498.014205180375.820736517000000198000000350000000<NA><NA>
56방문판매업08_26_02_P3250000201432500832320000620140325<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-558-0337<NA><NA>부산광역시 중구 부평동2가 7번지 1호 지혜빌라부산광역시 중구 중구로53번길 15-1, 1층 (부평동2가, 지혜빌라)48977호마트코리아20181107160535U2018-11-09 02:37:39.0<NA>384776.257443180032.081137<NA><NA><NA><NA><NA>
67방문판매업08_26_02_P3250000201932501332320000320190517<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-246-8244<NA><NA>부산광역시 중구 남포동6가 33번지부산광역시 중구 자갈치로 23, 2,3,4층 (남포동6가)48982블루웰20200709133452U2020-07-11 02:40:00.0<NA>384768.93781179403.368452<NA><NA><NA><NA><NA>
78방문판매업08_26_02_P3250000201932501332320000120190426<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 29번지 8호부산광역시 중구 해관로 60-1, 3층 303호 (중앙동4가)48929늘푸른20190426102029I2019-04-28 02:20:33.0<NA>385542.342258180246.4398<NA><NA><NA><NA><NA>
89방문판매업08_26_02_P3250000201832500832320000220180314<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-466-0046<NA><NA>부산광역시 중구 중앙동4가 78-12부산광역시 중구 충장대로5번길 52, 남정빌딩 406호 (중앙동4가)48936코어(CORE)20201007125558U2020-10-09 02:40:00.0<NA>385811.634937180996.883871<NA><NA><NA><NA><NA>
910방문판매업08_26_02_P3250000201832500832320000420180405<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-469-9830<NA><NA>부산광역시 중구 중앙동4가 76번지 6호부산광역시 중구 중앙대로 156-1, 명성빌딩 4층 403호 (중앙동4가)48934사임당화장품 항도지사20180405161143I2018-08-31 23:59:59.0<NA>385761.113647181039.074264<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
54095410방문판매업08_26_02_P3330000201333301032320002520131017<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-741-6388<NA><NA><NA>부산광역시 해운대구 해운대로452번길 18, 101동 403호 (우동, 대우동삼아파트)612770르네셀 해운대점20160405100038I2018-08-31 23:59:59.0<NA>394955.701609187033.423154<NA><NA><NA><NA><NA>
54105411방문판매업08_26_02_P3330000201333301032320002820091028<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-702-6115<NA>617080부산광역시 사상구 모라동 280번지 11호부산광역시 해운대구 세실로27번길 15, 301호 (좌동, 노블시티301호~303호)612842동양메디20150108143954I2018-08-31 23:59:59.0<NA>381095.287198189909.891413<NA><NA><NA><NA><NA>
54115412방문판매업08_26_02_P3330000201233301032320001320120308<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>1544-8101<NA>612011부산광역시 해운대구 중1동 1778번지 1호 이안파일론 503호부산광역시 해운대구 달맞이길 43, 503호 (중동, 이안파일론)612851(주) 웰스킨커뮤니케이션20171216191814I2018-08-31 23:59:59.0<NA>397650.317431186919.12856350000000050000000<NA><NA>
54125413방문판매업08_26_02_P3330000201233301032320001820120418<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-747-4826<NA>612818부산광역시 해운대구 우1동 196번지 9호부산광역시 해운대구 우동3로 11 (우동)612818마리엔스건강증진관20150108143328I2018-08-31 23:59:59.0<NA>396943.144434187444.479282<NA><NA><NA><NA><NA>
54135414방문판매업08_26_02_P3330000201233301032320003420100519<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-811-1540<NA>612020부산광역시 해운대구 우동 1462번지 센텀그린타워 501호부산광역시 해운대구 센텀중앙로 78, 501호 (우동, 센텀그린타워)612022주식회사 엘비케이20150108143651I2018-08-31 23:59:59.0<NA>393696.083566188229.68954711516668821580285284100000000<NA><NA>
54145415방문판매업08_26_02_P3330000201233301032320003720121226<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-747-0535<NA>612740부산광역시 해운대구 우1동 993번지 5호 경남마리나아파트 상가동 502호부산광역시 해운대구 해운대해변로 83, 상가동 502호 (우동, 경남마리나)612740윤선생영어숲해운마린어학원20161027183318I2018-08-31 23:59:59.0<NA>395128.423701186853.837117<NA><NA><NA><NA><NA>
54155416방문판매업08_26_02_P3330000201233301032320001120120222<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>1566-1910<NA>612022부산광역시 해운대구 우2동 1474번지 센텀SH밸리 202호부산광역시 해운대구 센텀동로 35, 202호 (우동, 센텀SH밸리)612022주식회사 다원월드20161027183406I2018-08-31 23:59:59.0<NA>394067.607348188000.24048850000000050000000<NA><NA>
54165417방문판매업08_26_02_P3330000201233301032320002020120111<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA>612050부산광역시 해운대구 재송동 1023번지 삼익아파트 상가동 302호부산광역시 해운대구 해운대로61번가길 6, 상가동 302호 (재송동, 삼익아파트)612748KGC해운대센텀대리점20150108143417I2018-08-31 23:59:59.0<NA>393140.687808190048.604697<NA><NA><NA><NA><NA>
54175418방문판매업08_26_02_P3330000201233301032320002120090422<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA>20090424070-7500-8577<NA>612020부산광역시 해운대구 우동 1478번지 301호부산광역시 해운대구 센텀동로 51, 301호 (우동)612022엑스트림네트워크(주)20171216191720I2018-08-31 23:59:59.0<NA>393984.782972188114.4662763800000000380000000<NA><NA>
54185419방문판매업08_26_02_P3330000201233301032320002420120807<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>051-742-1947<NA>612835부산광역시 해운대구 좌1동 422번지 1호부산광역시 해운대구 좌동로 111 (좌동)612835(주)엠에스포유20150108143444I2018-08-31 23:59:59.0<NA>398244.239264188193.15216750000000050000000<NA><NA>