Overview

Dataset statistics

Number of variables33
Number of observations5457
Missing cells67938
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

Description2021-04-01
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 5141 (94.2%) missing valuesMissing
폐업일자 has 2708 (49.6%) missing valuesMissing
휴업시작일자 has 5420 (99.3%) missing valuesMissing
휴업종료일자 has 5420 (99.3%) missing valuesMissing
재개업일자 has 5443 (99.7%) missing valuesMissing
소재지전화 has 1300 (23.8%) missing valuesMissing
소재지면적 has 5457 (100.0%) missing valuesMissing
소재지우편번호 has 2629 (48.2%) missing valuesMissing
소재지전체주소 has 844 (15.5%) missing valuesMissing
도로명전체주소 has 759 (13.9%) missing valuesMissing
도로명우편번호 has 2681 (49.1%) missing valuesMissing
업태구분명 has 5457 (100.0%) missing valuesMissing
좌표정보(x) has 682 (12.5%) missing valuesMissing
좌표정보(y) has 682 (12.5%) missing valuesMissing
자산규모 has 4131 (75.7%) missing valuesMissing
부채총액 has 4140 (75.9%) missing valuesMissing
자본금 has 4130 (75.7%) missing valuesMissing
판매방식명 has 5457 (100.0%) missing valuesMissing
Unnamed: 32 has 5457 (100.0%) missing valuesMissing
관리번호 is highly skewed (γ1 = -68.31869683)Skewed
자산규모 is highly skewed (γ1 = 29.96885536)Skewed
부채총액 is highly skewed (γ1 = 25.11236726)Skewed
자본금 is highly skewed (γ1 = 25.53777798)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 749 (13.7%) zerosZeros
자본금 has 156 (2.9%) zerosZeros

Reproduction

Analysis started2024-04-16 18:21:22.052522
Analysis finished2024-04-16 18:21:23.599300
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5457
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2729
Minimum1
Maximum5457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:23.667678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile273.8
Q11365
median2729
Q34093
95-th percentile5184.2
Maximum5457
Range5456
Interquartile range (IQR)2728

Descriptive statistics

Standard deviation1575.4445
Coefficient of variation (CV)0.57729738
Kurtosis-1.2
Mean2729
Median Absolute Deviation (MAD)1364
Skewness0
Sum14892153
Variance2482025.5
MonotonicityStrictly increasing
2024-04-17T03:21:23.807827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3637 1
 
< 0.1%
3645 1
 
< 0.1%
3644 1
 
< 0.1%
3643 1
 
< 0.1%
3642 1
 
< 0.1%
3641 1
 
< 0.1%
3640 1
 
< 0.1%
3639 1
 
< 0.1%
3638 1
 
< 0.1%
Other values (5447) 5447
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 (%)
5457 1
< 0.1%
5456 1
< 0.1%
5455 1
< 0.1%
5454 1
< 0.1%
5453 1
< 0.1%
5452 1
< 0.1%
5451 1
< 0.1%
5450 1
< 0.1%
5449 1
< 0.1%
5448 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.8 KiB
방문판매업
5457 

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 5457
100.0%

Length

2024-04-17T03:21:23.938826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:24.050680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문판매업 5457
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.8 KiB
08_26_02_P
5457 

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 5457
100.0%

Length

2024-04-17T03:21:24.148234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:24.247653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_02_p 5457
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322561.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:24.361277image/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 deviation38956.291
Coefficient of variation (CV)0.011724775
Kurtosis-1.0092012
Mean3322561.8
Median Absolute Deviation (MAD)30000
Skewness0.27156143
Sum1.813122 × 1010
Variance1.5175926 × 109
MonotonicityNot monotonic
2024-04-17T03:21:24.493655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 1197
21.9%
3300000 537
9.8%
3330000 527
9.7%
3370000 519
9.5%
3350000 416
 
7.6%
3270000 326
 
6.0%
3380000 308
 
5.6%
3310000 304
 
5.6%
3340000 285
 
5.2%
3320000 266
 
4.9%
Other values (6) 772
14.1%
ValueCountFrequency (%)
3250000 117
 
2.1%
3260000 104
 
1.9%
3270000 326
 
6.0%
3280000 98
 
1.8%
3290000 1197
21.9%
3300000 537
9.8%
3310000 304
 
5.6%
3320000 266
 
4.9%
3330000 527
9.7%
3340000 285
 
5.2%
ValueCountFrequency (%)
3400000 116
 
2.1%
3390000 256
4.7%
3380000 308
5.6%
3370000 519
9.5%
3360000 81
 
1.5%
3350000 416
7.6%
3340000 285
5.2%
3330000 527
9.7%
3320000 266
4.9%
3310000 304
5.6%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct5457
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0108296 × 1018
Minimum2.004329 × 1017
Maximum2.02134 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:24.648940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.004329 × 1017
5-th percentile2.001333 × 1018
Q12.007333 × 1018
median2.010339 × 1018
Q32.015337 × 1018
95-th percentile2.02033 × 1018
Maximum2.02134 × 1018
Range1.8209071 × 1018
Interquartile range (IQR)8.0039987 × 1015

Descriptive statistics

Standard deviation2.5158764 × 1016
Coefficient of variation (CV)0.012511634
Kurtosis4916.7326
Mean2.0108296 × 1018
Median Absolute Deviation (MAD)3.9970039 × 1015
Skewness-68.318697
Sum-2.7155115 × 1018
Variance6.3296339 × 1032
MonotonicityNot monotonic
2024-04-17T03:21:24.808218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008323200007 1
 
< 0.1%
2011335008523200001 1
 
< 0.1%
2008335008023200017 1
 
< 0.1%
2008335008023200023 1
 
< 0.1%
2008335008023200015 1
 
< 0.1%
2008335008023200013 1
 
< 0.1%
2011335008523200010 1
 
< 0.1%
2008335008023200012 1
 
< 0.1%
2008335008023200011 1
 
< 0.1%
2011335008523200005 1
 
< 0.1%
Other values (5447) 5447
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%
2021339010923200006 1
< 0.1%
2021339010923200005 1
< 0.1%
2021339010923200004 1
< 0.1%
2021339010923200003 1
< 0.1%
2021339010923200002 1
< 0.1%
2021339010923200001 1
< 0.1%
2021338008223200003 1
< 0.1%
2021338008223200002 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct3075
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20106856
Minimum19960101
Maximum20210228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:24.949856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960101
5-th percentile20010820
Q120070612
median20100830
Q320150520
95-th percentile20200129
Maximum20210228
Range250127
Interquartile range (IQR)79908

Descriptive statistics

Standard deviation55945.49
Coefficient of variation (CV)0.0027824087
Kurtosis-0.41975504
Mean20106856
Median Absolute Deviation (MAD)39691
Skewness-0.1639231
Sum1.0972311 × 1011
Variance3.1298978 × 109
MonotonicityNot monotonic
2024-04-17T03:21:25.088478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200129 12
 
0.2%
20130924 12
 
0.2%
20130925 11
 
0.2%
20200102 10
 
0.2%
20080826 10
 
0.2%
20130926 9
 
0.2%
20070312 9
 
0.2%
20170619 8
 
0.1%
20070212 8
 
0.1%
20080527 8
 
0.1%
Other values (3065) 5360
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 (%)
20210228 2
 
< 0.1%
20210226 1
 
< 0.1%
20210225 7
0.1%
20210224 2
 
< 0.1%
20210222 6
0.1%
20210219 1
 
< 0.1%
20210218 1
 
< 0.1%
20210217 4
0.1%
20210216 1
 
< 0.1%
20210215 2
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)18.7%
Missing5141
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean20093533
Minimum20060630
Maximum22070711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:25.243472image/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
2024-04-17T03:21:25.396832image/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
 
0.3%
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) 5141
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
 
0.3%
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 size42.8 KiB
3
2750 
4
1766 
1
909 
2
 
32

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 2750
50.4%
4 1766
32.4%
1 909
 
16.7%
2 32
 
0.6%

Length

2024-04-17T03:21:25.539158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:25.643292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2750
50.4%
4 1766
32.4%
1 909
 
16.7%
2 32
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.8 KiB
폐업
2750 
취소/말소/만료/정지/중지
1766 
영업/정상
909 
휴업
 
32

Length

Max length14
Median length2
Mean length6.3831776
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 2750
50.4%
취소/말소/만료/정지/중지 1766
32.4%
영업/정상 909
 
16.7%
휴업 32
 
0.6%

Length

2024-04-17T03:21:25.749444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:25.849729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2750
50.4%
취소/말소/만료/정지/중지 1766
32.4%
영업/정상 909
 
16.7%
휴업 32
 
0.6%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.745098
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:25.939477image/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 deviation2.0579236
Coefficient of variation (CV)0.54949794
Kurtosis-0.8754952
Mean3.745098
Median Absolute Deviation (MAD)0
Skewness0.58078628
Sum20437
Variance4.2350497
MonotonicityNot monotonic
2024-04-17T03:21:26.036598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 2750
50.4%
7 1377
25.2%
1 906
 
16.6%
4 389
 
7.1%
2 32
 
0.6%
8 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
1 906
 
16.6%
2 32
 
0.6%
3 2750
50.4%
4 389
 
7.1%
6 1
 
< 0.1%
7 1377
25.2%
8 2
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 1377
25.2%
6 1
 
< 0.1%
4 389
 
7.1%
3 2750
50.4%
2 32
 
0.6%
1 906
 
16.6%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.8 KiB
폐업처리
2750 
직권말소
1377 
정상영업
906 
직권취소
389 
휴업처리
 
32
Other values (2)
 
3

Length

Max length6
Median length4
Mean length4.0003665
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2750
50.4%
직권말소 1377
25.2%
정상영업 906
 
16.6%
직권취소 389
 
7.1%
휴업처리 32
 
0.6%
영업재개 2
 
< 0.1%
타시군구전입 1
 
< 0.1%

Length

2024-04-17T03:21:26.170528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:26.273870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2750
50.4%
직권말소 1377
25.2%
정상영업 906
 
16.6%
직권취소 389
 
7.1%
휴업처리 32
 
0.6%
영업재개 2
 
< 0.1%
타시군구전입 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1679
Distinct (%)61.1%
Missing2708
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean20135805
Minimum20030204
Maximum22020723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:26.401941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030204
5-th percentile20071111
Q120100831
median20130924
Q320170718
95-th percentile20200731
Maximum22020723
Range1990519
Interquartile range (IQR)69887

Descriptive statistics

Standard deviation54301.261
Coefficient of variation (CV)0.0026967515
Kurtosis527.0961
Mean20135805
Median Absolute Deviation (MAD)30518
Skewness15.268208
Sum5.5353327 × 1010
Variance2.948627 × 109
MonotonicityNot monotonic
2024-04-17T03:21:26.837996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200320 18
 
0.3%
20200319 11
 
0.2%
20131028 10
 
0.2%
20130909 10
 
0.2%
20131025 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 (1669) 2648
48.5%
(Missing) 2708
49.6%
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%
20210217 1
 
< 0.1%
20210210 1
 
< 0.1%
20210208 1
 
< 0.1%
20210204 1
 
< 0.1%
20210202 1
 
< 0.1%
20210129 1
 
< 0.1%
20210128 1
 
< 0.1%
20210127 1
 
< 0.1%
20210126 3
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)91.9%
Missing5420
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20175211
Minimum20070716
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:26.966974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070716
5-th percentile20086503
Q120171103
median20181201
Q320200103
95-th percentile20200984
Maximum20210101
Range139385
Interquartile range (IQR)29000

Descriptive statistics

Standard deviation34558.668
Coefficient of variation (CV)0.0017129273
Kurtosis3.9404929
Mean20175211
Median Absolute Deviation (MAD)10182
Skewness-2.0929616
Sum7.4648279 × 108
Variance1.1943016 × 109
MonotonicityNot monotonic
2024-04-17T03:21:27.094640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20181201 2
 
< 0.1%
20181114 2
 
< 0.1%
20200929 2
 
< 0.1%
20171121 1
 
< 0.1%
20190401 1
 
< 0.1%
20161121 1
 
< 0.1%
20171001 1
 
< 0.1%
20191121 1
 
< 0.1%
20070806 1
 
< 0.1%
20200622 1
 
< 0.1%
Other values (24) 24
 
0.4%
(Missing) 5420
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 1
< 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 (%)81.1%
Missing5420
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20207147
Minimum20071231
Maximum20991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:27.222538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071231
5-th percentile20096587
Q120180930
median20191113
Q320210401
95-th percentile20232406
Maximum20991231
Range920000
Interquartile range (IQR)29471

Descriptive statistics

Standard deviation137454.28
Coefficient of variation (CV)0.0068022604
Kurtosis31.555291
Mean20207147
Median Absolute Deviation (MAD)10785
Skewness5.3756716
Sum7.4766445 × 108
Variance1.8893678 × 1010
MonotonicityNot monotonic
2024-04-17T03:21:27.359631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20201231 4
 
0.1%
20211231 3
 
0.1%
20191113 2
 
< 0.1%
20190601 2
 
< 0.1%
20180531 1
 
< 0.1%
20201227 1
 
< 0.1%
20181231 1
 
< 0.1%
20081231 1
 
< 0.1%
20210101 1
 
< 0.1%
20180930 1
 
< 0.1%
Other values (20) 20
 
0.4%
(Missing) 5420
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 4
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing5443
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20144954
Minimum20081114
Maximum20201217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:27.486172image/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
2024-04-17T03:21:27.593668image/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) 5443
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 

Distinct3881
Distinct (%)93.4%
Missing1300
Missing (%)23.8%
Memory size42.8 KiB
2024-04-17T03:21:27.868984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.075295
Min length1

Characters and Unicode

Total characters46040
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

Unique3663 ?
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%
853 16
 
0.3%
515 16
 
0.3%
868 16
 
0.3%
865 15
 
0.3%
581 14
 
0.2%
582 12
 
0.2%
517 12
 
0.2%
Other values (4022) 4807
83.7%
2024-04-17T03:21:28.280228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6967
15.1%
5 6733
14.6%
1 6325
13.7%
- 4972
10.8%
8 3321
7.2%
6 2959
6.4%
3 2905
6.3%
7 2879
6.3%
2 2814
6.1%
4 2509
 
5.4%
Other values (7) 3656
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39368
85.5%
Dash Punctuation 4972
 
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 6967
17.7%
5 6733
17.1%
1 6325
16.1%
8 3321
8.4%
6 2959
7.5%
3 2905
7.4%
7 2879
7.3%
2 2814
7.1%
4 2509
 
6.4%
9 1956
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 20
95.2%
～ 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
" 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4972
100.0%
Space Separator
ValueCountFrequency (%)
1639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6967
15.1%
5 6733
14.6%
1 6325
13.7%
- 4972
10.8%
8 3321
7.2%
6 2959
6.4%
3 2905
6.3%
7 2879
6.3%
2 2814
6.1%
4 2509
 
5.4%
Other values (7) 3656
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46039
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6967
15.1%
5 6733
14.6%
1 6325
13.7%
- 4972
10.8%
8 3321
7.2%
6 2959
6.4%
3 2905
6.3%
7 2879
6.3%
2 2814
6.1%
4 2509
 
5.4%
Other values (6) 3655
7.9%
None
ValueCountFrequency (%)
～ 1
100.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5457
Missing (%)100.0%
Memory size48.1 KiB

소재지우편번호
Text

MISSING 

Distinct699
Distinct (%)24.7%
Missing2629
Missing (%)48.2%
Memory size42.8 KiB
2024-04-17T03:21:28.611016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters16968
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 (%)10.3%

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) 2418
85.5%
2024-04-17T03:21:29.073614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3574
21.1%
6 3321
19.6%
1 3210
18.9%
8 1768
10.4%
4 1385
 
8.2%
2 1020
 
6.0%
3 891
 
5.3%
7 850
 
5.0%
9 446
 
2.6%
5 432
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16897
99.6%
Dash Punctuation 71
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3574
21.2%
6 3321
19.7%
1 3210
19.0%
8 1768
10.5%
4 1385
 
8.2%
2 1020
 
6.0%
3 891
 
5.3%
7 850
 
5.0%
9 446
 
2.6%
5 432
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3574
21.1%
6 3321
19.6%
1 3210
18.9%
8 1768
10.4%
4 1385
 
8.2%
2 1020
 
6.0%
3 891
 
5.3%
7 850
 
5.0%
9 446
 
2.6%
5 432
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3574
21.1%
6 3321
19.6%
1 3210
18.9%
8 1768
10.4%
4 1385
 
8.2%
2 1020
 
6.0%
3 891
 
5.3%
7 850
 
5.0%
9 446
 
2.6%
5 432
 
2.5%

소재지전체주소
Text

MISSING 

Distinct4280
Distinct (%)92.8%
Missing844
Missing (%)15.5%
Memory size42.8 KiB
2024-04-17T03:21:29.450947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length27.060915
Min length7

Characters and Unicode

Total characters124832
Distinct characters517
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

Unique4036 ?
Unique (%)87.5%

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 4385
 
16.9%
부산진구 1006
 
3.9%
동래구 463
 
1.8%
1호 460
 
1.8%
연제구 425
 
1.6%
해운대구 410
 
1.6%
금정구 362
 
1.4%
수영구 272
 
1.0%
2호 260
 
1.0%
동구 260
 
1.0%
Other values (4578) 17694
68.1%
2024-04-17T03:21:30.002197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21546
 
17.3%
1 5977
 
4.8%
산 5969
 
4.8%
부 5893
 
4.7%
동 5769
 
4.6%
광 4542
 
3.6%
시 4508
 
3.6%
구 4474
 
3.6%
역 4403
 
3.5%
호 4296
 
3.4%
Other values (507) 57455
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74938
60.0%
Decimal Number 27014
 
21.6%
Space Separator 21546
 
17.3%
Dash Punctuation 845
 
0.7%
Uppercase Letter 283
 
0.2%
Other Punctuation 112
 
0.1%
Open Punctuation 31
 
< 0.1%
Close Punctuation 31
 
< 0.1%
Lowercase Letter 26
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 5969
 
8.0%
부 5893
 
7.9%
동 5769
 
7.7%
광 4542
 
6.1%
시 4508
 
6.0%
구 4474
 
6.0%
역 4403
 
5.9%
호 4296
 
5.7%
지 3914
 
5.2%
번 3732
 
5.0%
Other values (453) 27438
36.6%
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%
G 10
 
3.5%
O 10
 
3.5%
C 6
 
2.1%
H 6
 
2.1%
Other values (11) 22
 
7.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
30.8%
s 4
15.4%
l 2
 
7.7%
t 2
 
7.7%
o 2
 
7.7%
k 2
 
7.7%
c 1
 
3.8%
i 1
 
3.8%
q 1
 
3.8%
r 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 5977
22.1%
2 3779
14.0%
3 3147
11.6%
0 2551
9.4%
4 2547
9.4%
5 2117
 
7.8%
6 1860
 
6.9%
7 1805
 
6.7%
8 1796
 
6.6%
9 1435
 
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 (%)
21546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 845
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74937
60.0%
Common 49585
39.7%
Latin 309
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 5969
 
8.0%
부 5893
 
7.9%
동 5769
 
7.7%
광 4542
 
6.1%
시 4508
 
6.0%
구 4474
 
6.0%
역 4403
 
5.9%
호 4296
 
5.7%
지 3914
 
5.2%
번 3732
 
5.0%
Other values (452) 27437
36.6%
Latin
ValueCountFrequency (%)
B 63
20.4%
K 48
15.5%
T 40
12.9%
S 28
9.1%
A 25
 
8.1%
D 25
 
8.1%
G 10
 
3.2%
O 10
 
3.2%
e 8
 
2.6%
C 6
 
1.9%
Other values (23) 46
14.9%
Common
ValueCountFrequency (%)
21546
43.5%
1 5977
 
12.1%
2 3779
 
7.6%
3 3147
 
6.3%
0 2551
 
5.1%
4 2547
 
5.1%
5 2117
 
4.3%
6 1860
 
3.8%
7 1805
 
3.6%
8 1796
 
3.6%
Other values (11) 2460
 
5.0%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74937
60.0%
ASCII 49892
40.0%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21546
43.2%
1 5977
 
12.0%
2 3779
 
7.6%
3 3147
 
6.3%
0 2551
 
5.1%
4 2547
 
5.1%
5 2117
 
4.2%
6 1860
 
3.7%
7 1805
 
3.6%
8 1796
 
3.6%
Other values (43) 2767
 
5.5%
Hangul
ValueCountFrequency (%)
산 5969
 
8.0%
부 5893
 
7.9%
동 5769
 
7.7%
광 4542
 
6.1%
시 4508
 
6.0%
구 4474
 
6.0%
역 4403
 
5.9%
호 4296
 
5.7%
지 3914
 
5.2%
번 3732
 
5.0%
Other values (452) 27437
36.6%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

도로명전체주소
Text

MISSING 

Distinct4388
Distinct (%)93.4%
Missing759
Missing (%)13.9%
Memory size42.8 KiB
2024-04-17T03:21:30.369582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length32.881652
Min length14

Characters and Unicode

Total characters154478
Distinct characters541
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

Unique4156 ?
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 4695
 
16.4%
부산진구 1133
 
4.0%
연제구 456
 
1.6%
중앙대로 452
 
1.6%
동래구 436
 
1.5%
해운대구 409
 
1.4%
2층 340
 
1.2%
동구 315
 
1.1%
금정구 286
 
1.0%
3층 271
 
0.9%
Other values (5209) 19881
69.3%
2024-04-17T03:21:30.880635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23988
 
15.5%
동 6616
 
4.3%
부 6452
 
4.2%
산 6447
 
4.2%
1 5503
 
3.6%
시 4987
 
3.2%
광 4924
 
3.2%
구 4779
 
3.1%
, 4740
 
3.1%
역 4714
 
3.1%
Other values (531) 81328
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90134
58.3%
Decimal Number 25195
 
16.3%
Space Separator 23988
 
15.5%
Other Punctuation 4786
 
3.1%
Close Punctuation 4641
 
3.0%
Open Punctuation 4640
 
3.0%
Dash Punctuation 670
 
0.4%
Uppercase Letter 390
 
0.3%
Lowercase Letter 20
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6616
 
7.3%
부 6452
 
7.2%
산 6447
 
7.2%
시 4987
 
5.5%
광 4924
 
5.5%
구 4779
 
5.3%
역 4714
 
5.2%
로 4689
 
5.2%
대 2539
 
2.8%
길 1818
 
2.0%
Other values (479) 42169
46.8%
Uppercase Letter
ValueCountFrequency (%)
B 74
19.0%
K 57
14.6%
T 54
13.8%
A 41
10.5%
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 5503
21.8%
2 3826
15.2%
0 3110
12.3%
3 2794
11.1%
4 2118
 
8.4%
5 1891
 
7.5%
6 1714
 
6.8%
7 1534
 
6.1%
9 1438
 
5.7%
8 1267
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
40.0%
k 3
 
15.0%
t 2
 
10.0%
s 2
 
10.0%
l 2
 
10.0%
c 1
 
5.0%
a 1
 
5.0%
i 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 4740
99.0%
/ 37
 
0.8%
& 5
 
0.1%
· 2
 
< 0.1%
. 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
23988
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4641
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4640
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 670
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90133
58.3%
Common 63933
41.4%
Latin 411
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6616
 
7.3%
부 6452
 
7.2%
산 6447
 
7.2%
시 4987
 
5.5%
광 4924
 
5.5%
구 4779
 
5.3%
역 4714
 
5.2%
로 4689
 
5.2%
대 2539
 
2.8%
길 1818
 
2.0%
Other values (478) 42168
46.8%
Latin
ValueCountFrequency (%)
B 74
18.0%
K 57
13.9%
T 54
13.1%
A 41
10.0%
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) 69
16.8%
Common
ValueCountFrequency (%)
23988
37.5%
1 5503
 
8.6%
, 4740
 
7.4%
) 4641
 
7.3%
( 4640
 
7.3%
2 3826
 
6.0%
0 3110
 
4.9%
3 2794
 
4.4%
4 2118
 
3.3%
5 1891
 
3.0%
Other values (10) 6682
 
10.5%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90133
58.3%
ASCII 64341
41.7%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23988
37.3%
1 5503
 
8.6%
, 4740
 
7.4%
) 4641
 
7.2%
( 4640
 
7.2%
2 3826
 
5.9%
0 3110
 
4.8%
3 2794
 
4.3%
4 2118
 
3.3%
5 1891
 
2.9%
Other values (40) 7090
 
11.0%
Hangul
ValueCountFrequency (%)
동 6616
 
7.3%
부 6452
 
7.2%
산 6447
 
7.2%
시 4987
 
5.5%
광 4924
 
5.5%
구 4779
 
5.3%
역 4714
 
5.2%
로 4689
 
5.2%
대 2539
 
2.8%
길 1818
 
2.0%
Other values (478) 42168
46.8%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1372
Distinct (%)49.4%
Missing2681
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean282671.05
Minimum46007
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:31.030366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46007
5-th percentile46273.5
Q147523.75
median48738
Q3611807
95-th percentile616819
Maximum619963
Range573956
Interquartile range (IQR)564283.25

Descriptive statistics

Standard deviation278059.38
Coefficient of variation (CV)0.9836854
Kurtosis-1.8865246
Mean282671.05
Median Absolute Deviation (MAD)2177
Skewness0.33809658
Sum7.8469483 × 108
Variance7.731702 × 1010
MonotonicityNot monotonic
2024-04-17T03:21:31.163444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 26
 
0.5%
47596 24
 
0.4%
614853 23
 
0.4%
611839 17
 
0.3%
47542 14
 
0.3%
47209 14
 
0.3%
47257 14
 
0.3%
614849 14
 
0.3%
48092 13
 
0.2%
614865 13
 
0.2%
Other values (1362) 2604
47.7%
(Missing) 2681
49.1%
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

Distinct4953
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size42.8 KiB
2024-04-17T03:21:31.461240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length7.1409199
Min length1

Characters and Unicode

Total characters38968
Distinct characters764
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

Unique4643 ?
Unique (%)85.1%

Sample

1st row쌍용자동차부산중앙판매대리점
2nd row주식회사 비즈커뮤니케이션(BIZCommunication Co.,Ltd.)
3rd row금호 ENG
4th row이든 네이처
5th row㈜한국청년여행사
ValueCountFrequency (%)
주식회사 287
 
4.1%
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%
아모레 19
 
0.3%
한국야쿠르트 16
 
0.2%
Other values (5227) 6332
91.4%
2024-04-17T03:21:31.891452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1506
 
3.9%
사 1135
 
2.9%
주 1083
 
2.8%
이 973
 
2.5%
) 888
 
2.3%
( 885
 
2.3%
지 804
 
2.1%
리 731
 
1.9%
스 723
 
1.9%
대 618
 
1.6%
Other values (754) 29622
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33736
86.6%
Space Separator 1506
 
3.9%
Uppercase Letter 947
 
2.4%
Close Punctuation 888
 
2.3%
Open Punctuation 885
 
2.3%
Lowercase Letter 472
 
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 1135
 
3.4%
주 1083
 
3.2%
이 973
 
2.9%
지 804
 
2.4%
리 731
 
2.2%
스 723
 
2.1%
대 618
 
1.8%
산 599
 
1.8%
점 597
 
1.8%
부 587
 
1.7%
Other values (678) 25886
76.7%
Uppercase Letter
ValueCountFrequency (%)
S 102
 
10.8%
C 75
 
7.9%
K 66
 
7.0%
B 58
 
6.1%
M 56
 
5.9%
G 50
 
5.3%
H 47
 
5.0%
A 45
 
4.8%
N 44
 
4.6%
T 44
 
4.6%
Other values (16) 360
38.0%
Lowercase Letter
ValueCountFrequency (%)
e 62
13.1%
o 46
 
9.7%
n 42
 
8.9%
a 36
 
7.6%
t 35
 
7.4%
i 32
 
6.8%
r 29
 
6.1%
l 27
 
5.7%
c 24
 
5.1%
u 21
 
4.4%
Other values (15) 118
25.0%
Decimal Number
ValueCountFrequency (%)
1 30
34.5%
2 21
24.1%
0 10
 
11.5%
3 8
 
9.2%
4 6
 
6.9%
8 3
 
3.4%
9 3
 
3.4%
7 2
 
2.3%
5 2
 
2.3%
6 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 (%)
1506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 888
100.0%
Open Punctuation
ValueCountFrequency (%)
( 885
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34006
87.3%
Common 3536
 
9.1%
Latin 1419
 
3.6%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1135
 
3.3%
주 1083
 
3.2%
이 973
 
2.9%
지 804
 
2.4%
리 731
 
2.1%
스 723
 
2.1%
대 618
 
1.8%
산 599
 
1.8%
점 597
 
1.8%
부 587
 
1.7%
Other values (672) 26156
76.9%
Latin
ValueCountFrequency (%)
S 102
 
7.2%
C 75
 
5.3%
K 66
 
4.7%
e 62
 
4.4%
B 58
 
4.1%
M 56
 
3.9%
G 50
 
3.5%
H 47
 
3.3%
o 46
 
3.2%
A 45
 
3.2%
Other values (41) 812
57.2%
Common
ValueCountFrequency (%)
1506
42.6%
) 888
25.1%
( 885
25.0%
. 84
 
2.4%
& 33
 
0.9%
1 30
 
0.8%
- 22
 
0.6%
2 21
 
0.6%
, 11
 
0.3%
/ 10
 
0.3%
Other values (14) 46
 
1.3%
Han
ValueCountFrequency (%)
誠 1
14.3%
銘 1
14.3%
照 1
14.3%
娥 1
14.3%
曜 1
14.3%
新 1
14.3%
美 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33729
86.6%
ASCII 4951
 
12.7%
None 281
 
0.7%
CJK 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1506
30.4%
) 888
17.9%
( 885
17.9%
S 102
 
2.1%
. 84
 
1.7%
C 75
 
1.5%
K 66
 
1.3%
e 62
 
1.3%
B 58
 
1.2%
M 56
 
1.1%
Other values (63) 1169
23.6%
Hangul
ValueCountFrequency (%)
사 1135
 
3.4%
주 1083
 
3.2%
이 973
 
2.9%
지 804
 
2.4%
리 731
 
2.2%
스 723
 
2.1%
대 618
 
1.8%
산 599
 
1.8%
점 597
 
1.8%
부 587
 
1.7%
Other values (671) 25879
76.7%
None
ValueCountFrequency (%)
㈜ 277
98.6%
· 2
 
0.7%
＆ 2
 
0.7%
CJK
ValueCountFrequency (%)
誠 1
14.3%
銘 1
14.3%
照 1
14.3%
娥 1
14.3%
曜 1
14.3%
新 1
14.3%
美 1
14.3%

최종수정시점
Real number (ℝ)

Distinct5389
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141924 × 1013
Minimum2.0070718 × 1013
Maximum2.0210228 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:32.020582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070718 × 1013
5-th percentile2.0080613 × 1013
Q12.0101124 × 1013
median2.0140303 × 1013
Q32.0180601 × 1013
95-th percentile2.0201013 × 1013
Maximum2.0210228 × 1013
Range1.3951001 × 1011
Interquartile range (IQR)7.9476989 × 1010

Descriptive statistics

Standard deviation4.1426433 × 1010
Coefficient of variation (CV)0.0020567268
Kurtosis-1.281997
Mean2.0141924 × 1013
Median Absolute Deviation (MAD)3.969801 × 1010
Skewness0.018922695
Sum1.0991448 × 1017
Variance1.7161494 × 1021
MonotonicityNot monotonic
2024-04-17T03:21:32.150838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080222000000 69
 
1.3%
20181102093733 1
 
< 0.1%
20161226154820 1
 
< 0.1%
20130530152453 1
 
< 0.1%
20101229090048 1
 
< 0.1%
20080813152928 1
 
< 0.1%
20080828154501 1
 
< 0.1%
20080813153202 1
 
< 0.1%
20150902133140 1
 
< 0.1%
20080602110011 1
 
< 0.1%
Other values (5379) 5379
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 (%)
20210228184454 1
< 0.1%
20210228175256 1
< 0.1%
20210226102848 1
< 0.1%
20210226102230 1
< 0.1%
20210226101645 1
< 0.1%
20210226101350 1
< 0.1%
20210226095740 1
< 0.1%
20210226092358 1
< 0.1%
20210226092332 1
< 0.1%
20210225163139 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.8 KiB
I
4467 
U
990 

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 4467
81.9%
U 990
 
18.1%

Length

2024-04-17T03:21:32.273940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T03:21:32.358303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 4467
81.9%
u 990
 
18.1%

데이터갱신일자
Date

Distinct601
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size42.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-03-02 00:23:17
2024-04-17T03:21:32.461605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T03:21:32.589694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5457
Missing (%)100.0%
Memory size48.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3305
Distinct (%)69.2%
Missing682
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean387977.88
Minimum143766.59
Maximum407986.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:32.738337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143766.59
5-th percentile380104.35
Q1385885.65
median388313.83
Q3390362.08
95-th percentile396779.76
Maximum407986.86
Range264220.27
Interquartile range (IQR)4476.4245

Descriptive statistics

Standard deviation8078.8337
Coefficient of variation (CV)0.020822924
Kurtosis438.94874
Mean387977.88
Median Absolute Deviation (MAD)2208.9353
Skewness-16.759421
Sum1.8525944 × 109
Variance65267554
MonotonicityNot monotonic
2024-04-17T03:21:32.878169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387225.613588405 49
 
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%
395615.201853958 11
 
0.2%
387816.362564942 11
 
0.2%
387727.932157079 11
 
0.2%
Other values (3295) 4589
84.1%
(Missing) 682
 
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 

Distinct3309
Distinct (%)69.3%
Missing682
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean187557.68
Minimum143155.75
Maximum445254.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:33.013625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143155.75
5-th percentile179285.8
Q1184591.99
median187304.67
Q3190417.02
95-th percentile195969.6
Maximum445254.8
Range302099.05
Interquartile range (IQR)5825.0299

Descriptive statistics

Standard deviation7733.9676
Coefficient of variation (CV)0.041235141
Kurtosis548.56357
Mean187557.68
Median Absolute Deviation (MAD)2848.9204
Skewness17.531888
Sum8.9558794 × 108
Variance59814254
MonotonicityNot monotonic
2024-04-17T03:21:33.142995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186408.726533861 49
 
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%
186406.750870936 11
 
0.2%
186316.00373302 11
 
0.2%
184254.180458819 11
 
0.2%
Other values (3299) 4589
84.1%
(Missing) 682
 
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 (%)41.3%
Missing4131
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean1.9158731 × 1010
Minimum0
Maximum9.8225426 × 1012
Zeros195
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:33.279005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000000
median54668037
Q33.0152248 × 108
95-th percentile5.7195097 × 109
Maximum9.8225426 × 1012
Range9.8225426 × 1012
Interquartile range (IQR)2.9152248 × 108

Descriptive statistics

Standard deviation2.8953028 × 1011
Coefficient of variation (CV)15.112185
Kurtosis997.02109
Mean1.9158731 × 1010
Median Absolute Deviation (MAD)54668037
Skewness29.968855
Sum2.5404477 × 1013
Variance8.3827785 × 1022
MonotonicityNot monotonic
2024-04-17T03:21:33.437040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 195
 
3.6%
50000000 193
 
3.5%
10000000 83
 
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) 636
 
11.7%
(Missing) 4131
75.7%
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 (%)36.6%
Missing4140
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean2.0351037 × 1010
Minimum0
Maximum9.80015 × 1012
Zeros749
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size48.1 KiB
2024-04-17T03:21:33.577704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2829596 × 108
95-th percentile4.598034 × 109
Maximum9.80015 × 1012
Range9.80015 × 1012
Interquartile range (IQR)1.2829596 × 108

Descriptive statistics

Standard deviation3.3627309 × 1011
Coefficient of variation (CV)16.523635
Kurtosis670.68909
Mean2.0351037 × 1010
Median Absolute Deviation (MAD)0
Skewness25.112367
Sum2.6802315 × 1013
Variance1.1307959 × 1023
MonotonicityNot monotonic
2024-04-17T03:21:33.725532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 749
 
13.7%
50000000 16
 
0.3%
100000000 12
 
0.2%
20000000 9
 
0.2%
10000000 7
 
0.1%
30000000 7
 
0.1%
5000000 6
 
0.1%
150000000 5
 
0.1%
300000000 5
 
0.1%
1111 5
 
0.1%
Other values (472) 496
 
9.1%
(Missing) 4140
75.9%
ValueCountFrequency (%)
0 749
13.7%
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%
Missing4130
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean7.9581131 × 109
Minimum-1.6319395 × 1010
Maximum4.4 × 1012
Zeros156
Zeros (%)2.9%
Negative13
Negative (%)0.2%
Memory size48.1 KiB
2024-04-17T03:21:33.863092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6319395 × 1010
5-th percentile0
Q110000000
median50000000
Q31.5 × 108
95-th percentile1.5009685 × 109
Maximum4.4 × 1012
Range4.4163194 × 1012
Interquartile range (IQR)1.4 × 108

Descriptive statistics

Standard deviation1.4927444 × 1011
Coefficient of variation (CV)18.757516
Kurtosis688.97878
Mean7.9581131 × 109
Median Absolute Deviation (MAD)50000000
Skewness25.537778
Sum1.0560416 × 1013
Variance2.2282857 × 1022
MonotonicityNot monotonic
2024-04-17T03:21:34.343193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 316
 
5.8%
0 156
 
2.9%
100000000 117
 
2.1%
10000000 106
 
1.9%
150000000 60
 
1.1%
300000000 54
 
1.0%
20000000 36
 
0.7%
30000000 30
 
0.5%
500000000 28
 
0.5%
1000000 21
 
0.4%
Other values (270) 403
 
7.4%
(Missing) 4130
75.7%
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 

Missing5457
Missing (%)100.0%
Memory size48.1 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5457
Missing (%)100.0%
Memory size48.1 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_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>
78방문판매업08_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>
89방문판매업08_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>
910방문판매업08_26_02_P3250000199932500592320004319991020<NA>1영업/정상1정상영업<NA><NA><NA><NA>051 441 0210<NA>600816부산광역시 중구 중앙동4가 82번지 9호부산광역시 중구 중앙대로 118 (중앙동4가)<NA>쉐보레부산중부판매(주)20131227115747I2018-08-31 23:59:59.0<NA>385639.290966180669.01727250000000050000000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
54475448방문판매업08_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>
54485449방문판매업08_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>
54495450방문판매업08_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>
54505451방문판매업08_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>
54515452방문판매업08_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>
54525453방문판매업08_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>
54535454방문판매업08_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>
54545455방문판매업08_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>
54555456방문판매업08_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>
54565457방문판매업08_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>