Overview

Dataset statistics

Number of variables31
Number of observations672
Missing cells4954
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory175.3 KiB
Average record size in memory267.2 B

Variable types

Numeric9
Categorical12
Unsupported6
Text3
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123129

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
자본금의규모 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.0%)Imbalance
휴업종료일자 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 672 (100.0%) missing valuesMissing
폐업일자 has 453 (67.4%) missing valuesMissing
재개업일자 has 672 (100.0%) missing valuesMissing
소재지전화 has 325 (48.4%) missing valuesMissing
소재지면적 has 672 (100.0%) missing valuesMissing
소재지우편번호 has 91 (13.5%) missing valuesMissing
소재지전체주소 has 17 (2.5%) missing valuesMissing
도로명우편번호 has 672 (100.0%) missing valuesMissing
업태구분명 has 672 (100.0%) missing valuesMissing
좌표정보(x) has 18 (2.7%) missing valuesMissing
좌표정보(y) has 18 (2.7%) missing valuesMissing
Unnamed: 30 has 672 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 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
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 15:17:11.216819
Analysis finished2024-04-16 15:17:11.893570
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct672
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean336.5
Minimum1
Maximum672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:11.952165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.55
Q1168.75
median336.5
Q3504.25
95-th percentile638.45
Maximum672
Range671
Interquartile range (IQR)335.5

Descriptive statistics

Standard deviation194.13397
Coefficient of variation (CV)0.57692117
Kurtosis-1.2
Mean336.5
Median Absolute Deviation (MAD)168
Skewness0
Sum226128
Variance37688
MonotonicityStrictly increasing
2024-04-17T00:17:12.072797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
453 1
 
0.1%
445 1
 
0.1%
446 1
 
0.1%
447 1
 
0.1%
448 1
 
0.1%
449 1
 
0.1%
450 1
 
0.1%
451 1
 
0.1%
452 1
 
0.1%
Other values (662) 662
98.5%
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 (%)
672 1
0.1%
671 1
0.1%
670 1
0.1%
669 1
0.1%
668 1
0.1%
667 1
0.1%
666 1
0.1%
665 1
0.1%
664 1
0.1%
663 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
후원방문판매업체
672 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
후원방문판매업체 672
100.0%

Length

2024-04-17T00:17:12.186403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:12.259743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업체 672
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
08_26_05_P
672 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_05_P
2nd row08_26_05_P
3rd row08_26_05_P
4th row08_26_05_P
5th row08_26_05_P

Common Values

ValueCountFrequency (%)
08_26_05_P 672
100.0%

Length

2024-04-17T00:17:12.345172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:12.413138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_05_p 672
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
6260000
672 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 672
100.0%

Length

2024-04-17T00:17:12.495097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:12.582730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 672
100.0%

관리번호
Real number (ℝ)

Distinct9
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172093 × 1019
Minimum2.013626 × 1019
Maximum2.021626 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:12.660290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.013626 × 1019
5-th percentile2.013626 × 1019
Q12.013626 × 1019
median2.017626 × 1019
Q32.020626 × 1019
95-th percentile2.021626 × 1019
Maximum2.021626 × 1019
Range8 × 1016
Interquartile range (IQR)7 × 1016

Descriptive statistics

Standard deviation3.3049963 × 1016
Coefficient of variation (CV)0.0016384003
Kurtosis-1.8126018
Mean2.0172093 × 1019
Median Absolute Deviation (MAD)3 × 1016
Skewness0.010031655
Sum1.3555647 × 1022
Variance1.0923 × 1033
MonotonicityNot monotonic
2024-04-17T00:17:12.775184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.0136260000301e+19 277
41.2%
2.0206260000301e+19 222
33.0%
2.0216260000301e+19 48
 
7.1%
2.0176260000301e+19 43
 
6.4%
2.0186260000301e+19 26
 
3.9%
2.0166260000301e+19 19
 
2.8%
2.0156260000301e+19 14
 
2.1%
2.0196260000301e+19 12
 
1.8%
2.0146260000301e+19 11
 
1.6%
ValueCountFrequency (%)
2.0136260000301e+19 277
41.2%
2.0146260000301e+19 11
 
1.6%
2.0156260000301e+19 14
 
2.1%
2.0166260000301e+19 19
 
2.8%
2.0176260000301e+19 43
 
6.4%
2.0186260000301e+19 26
 
3.9%
2.0196260000301e+19 12
 
1.8%
2.0206260000301e+19 222
33.0%
2.0216260000301e+19 48
 
7.1%
ValueCountFrequency (%)
2.0216260000301e+19 48
 
7.1%
2.0206260000301e+19 222
33.0%
2.0196260000301e+19 12
 
1.8%
2.0186260000301e+19 26
 
3.9%
2.0176260000301e+19 43
 
6.4%
2.0166260000301e+19 19
 
2.8%
2.0156260000301e+19 14
 
2.1%
2.0146260000301e+19 11
 
1.6%
2.0136260000301e+19 277
41.2%

인허가일자
Real number (ℝ)

Distinct142
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20166515
Minimum20130719
Maximum20210326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:12.913381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130719
5-th percentile20130724
Q120130806
median20170831
Q320200519
95-th percentile20210219
Maximum20210326
Range79607
Interquartile range (IQR)69713

Descriptive statistics

Standard deviation32941.478
Coefficient of variation (CV)0.001633474
Kurtosis-1.8155306
Mean20166515
Median Absolute Deviation (MAD)30385
Skewness0.0077195688
Sum1.3551898 × 1010
Variance1.085141 × 109
MonotonicityNot monotonic
2024-04-17T00:17:13.056650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130806 69
 
10.3%
20130802 50
 
7.4%
20200302 43
 
6.4%
20130724 36
 
5.4%
20200519 35
 
5.2%
20130807 24
 
3.6%
20200319 23
 
3.4%
20130801 22
 
3.3%
20210219 19
 
2.8%
20201216 19
 
2.8%
Other values (132) 332
49.4%
ValueCountFrequency (%)
20130719 1
 
0.1%
20130724 36
5.4%
20130730 12
 
1.8%
20130731 16
 
2.4%
20130801 22
 
3.3%
20130802 50
7.4%
20130806 69
10.3%
20130807 24
 
3.6%
20130808 2
 
0.3%
20130813 10
 
1.5%
ValueCountFrequency (%)
20210326 1
 
0.1%
20210316 14
2.1%
20210302 1
 
0.1%
20210219 19
2.8%
20210121 13
1.9%
20201222 1
 
0.1%
20201216 19
2.8%
20201118 9
1.3%
20201105 1
 
0.1%
20201028 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing672
Missing (%)100.0%
Memory size6.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
1
425 
3
242 
2
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 425
63.2%
3 242
36.0%
2 3
 
0.4%
4 2
 
0.3%

Length

2024-04-17T00:17:13.200753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:13.297883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 425
63.2%
3 242
36.0%
2 3
 
0.4%
4 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
영업/정상
425 
폐업
242 
휴업
 
3
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.9330357
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴업
2nd row휴업
3rd row휴업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 425
63.2%
폐업 242
36.0%
휴업 3
 
0.4%
취소/말소/만료/정지/중지 2
 
0.3%

Length

2024-04-17T00:17:13.410409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:13.520735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 425
63.2%
폐업 242
36.0%
휴업 3
 
0.4%
취소/말소/만료/정지/중지 2
 
0.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
4
242 
BBBB
241 
2
184 
3
 
3
6
 
2

Length

Max length4
Median length1
Mean length2.0758929
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 242
36.0%
BBBB 241
35.9%
2 184
27.4%
3 3
 
0.4%
6 2
 
0.3%

Length

2024-04-17T00:17:13.631567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:13.743848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 242
36.0%
bbbb 241
35.9%
2 184
27.4%
3 3
 
0.4%
6 2
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
영업
425 
폐업
242 
휴업
 
3
직권말소
 
2

Length

Max length4
Median length2
Mean length2.0059524
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴업
2nd row휴업
3rd row휴업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업 425
63.2%
폐업 242
36.0%
휴업 3
 
0.4%
직권말소 2
 
0.3%

Length

2024-04-17T00:17:13.867524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:13.975471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 425
63.2%
폐업 242
36.0%
휴업 3
 
0.4%
직권말소 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)79.5%
Missing453
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean20177772
Minimum20130730
Maximum20210329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:14.077399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130730
5-th percentile20140228
Q120155666
median20181127
Q320200416
95-th percentile20202118
Maximum20210329
Range79599
Interquartile range (IQR)44749.5

Descriptive statistics

Standard deviation23821.139
Coefficient of variation (CV)0.0011805634
Kurtosis-1.170882
Mean20177772
Median Absolute Deviation (MAD)19604
Skewness-0.50904803
Sum4.4189321 × 109
Variance5.6744666 × 108
MonotonicityNot monotonic
2024-04-17T00:17:14.204536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140304 6
 
0.9%
20180612 6
 
0.9%
20140306 4
 
0.6%
20200416 3
 
0.4%
20171229 3
 
0.4%
20150225 3
 
0.4%
20141217 3
 
0.4%
20140305 3
 
0.4%
20200519 3
 
0.4%
20200420 2
 
0.3%
Other values (164) 183
27.2%
(Missing) 453
67.4%
ValueCountFrequency (%)
20130730 1
0.1%
20131209 1
0.1%
20131211 1
0.1%
20131226 1
0.1%
20140102 1
0.1%
20140110 1
0.1%
20140219 1
0.1%
20140220 1
0.1%
20140221 1
0.1%
20140226 1
0.1%
ValueCountFrequency (%)
20210329 1
0.1%
20210325 1
0.1%
20210324 1
0.1%
20210323 1
0.1%
20210310 1
0.1%
20210219 1
0.1%
20210201 1
0.1%
20210122 2
0.3%
20210112 1
0.1%
20210105 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
670 
20131218
 
1
20160718
 
1

Length

Max length8
Median length4
Mean length4.0119048
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row20131218
2nd row20160718
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 670
99.7%
20131218 1
 
0.1%
20160718 1
 
0.1%

Length

2024-04-17T00:17:14.358938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:14.468981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 670
99.7%
20131218 1
 
0.1%
20160718 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
671 
20160718
 
1

Length

Max length8
Median length4
Mean length4.0059524
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row20160718
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 671
99.9%
20160718 1
 
0.1%

Length

2024-04-17T00:17:14.591925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:14.687450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 671
99.9%
20160718 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing672
Missing (%)100.0%
Memory size6.0 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct313
Distinct (%)90.2%
Missing325
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean6.2943331 × 108
Minimum15884008
Maximum7.088695 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:14.790320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15884008
5-th percentile5.1208592 × 108
Q15.1413023 × 108
median5.1611141 × 108
Q35.1757587 × 108
95-th percentile5.1895663 × 108
Maximum7.088695 × 109
Range7.072811 × 109
Interquartile range (IQR)3445647

Descriptive statistics

Standard deviation8.5001324 × 108
Coefficient of variation (CV)1.3504421
Kurtosis51.061436
Mean6.2943331 × 108
Median Absolute Deviation (MAD)1500890
Skewness7.2005308
Sum2.1841336 × 1011
Variance7.2252251 × 1017
MonotonicityNot monotonic
2024-04-17T00:17:14.923202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
517554999 5
 
0.7%
518677355 3
 
0.4%
518183474 2
 
0.3%
513321709 2
 
0.3%
512085551 2
 
0.3%
516435252 2
 
0.3%
513212290 2
 
0.3%
515140884 2
 
0.3%
513344989 2
 
0.3%
510000000 2
 
0.3%
Other values (303) 323
48.1%
(Missing) 325
48.4%
ValueCountFrequency (%)
15884008 1
0.1%
15884108 1
0.1%
51442525 1
0.1%
51714060 1
0.1%
508070411 1
0.1%
510000000 2
0.3%
511577264 1
0.1%
512014979 1
0.1%
512034244 1
0.1%
512041994 1
0.1%
ValueCountFrequency (%)
7088694985 1
0.1%
7082720561 1
0.1%
7082481746 1
0.1%
7071007372 1
0.1%
7041892558 1
0.1%
6173609598 1
0.1%
3055202111 1
0.1%
707715623 1
0.1%
704282734 1
0.1%
519956135 1
0.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing672
Missing (%)100.0%
Memory size6.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct426
Distinct (%)73.3%
Missing91
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean290815.25
Minimum46002
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:15.046644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46233
Q147565
median48738
Q3609801
95-th percentile616819
Maximum619961
Range573959
Interquartile range (IQR)562236

Descriptive statistics

Standard deviation279083.09
Coefficient of variation (CV)0.9596577
Kurtosis-1.9300319
Mean290815.25
Median Absolute Deviation (MAD)2463
Skewness0.27564475
Sum1.6896366 × 108
Variance7.7887373 × 1010
MonotonicityNot monotonic
2024-04-17T00:17:15.464981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611080 8
 
1.2%
607100 6
 
0.9%
612020 5
 
0.7%
611830 4
 
0.6%
611070 4
 
0.6%
601060 4
 
0.6%
614050 4
 
0.6%
47542 4
 
0.6%
46525 4
 
0.6%
48738 4
 
0.6%
Other values (416) 534
79.5%
(Missing) 91
 
13.5%
ValueCountFrequency (%)
46002 1
 
0.1%
46007 2
0.3%
46008 2
0.3%
46009 2
0.3%
46010 3
0.4%
46014 1
 
0.1%
46015 2
0.3%
46016 3
0.4%
46035 1
 
0.1%
46051 1
 
0.1%
ValueCountFrequency (%)
619961 2
0.3%
619905 3
0.4%
619903 1
 
0.1%
619901 1
 
0.1%
618270 1
 
0.1%
617837 1
 
0.1%
617836 1
 
0.1%
617835 1
 
0.1%
617833 1
 
0.1%
617831 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct629
Distinct (%)96.0%
Missing17
Missing (%)2.5%
Memory size5.4 KiB
2024-04-17T00:17:15.767794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length31.636641
Min length19

Characters and Unicode

Total characters20722
Distinct characters351
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique610 ?
Unique (%)93.1%

Sample

1st row부산광역시 해운대구 좌동 1439번지
2nd row부산광역시 연제구 거제동 1487번지 2호 7층호
3rd row부산광역시 부산진구 개금동 171번지 122호
4th row부산광역시 동래구 낙민동 278번지
5th row부산광역시 부산진구 개금동 171번지 122호
ValueCountFrequency (%)
부산광역시 655
 
15.8%
0호 119
 
2.9%
부산진구 82
 
2.0%
해운대구 75
 
1.8%
동래구 72
 
1.7%
1호 64
 
1.5%
연제구 54
 
1.3%
사하구 48
 
1.2%
금정구 46
 
1.1%
수영구 43
 
1.0%
Other values (1169) 2893
69.7%
2024-04-17T00:17:16.203326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4120
19.9%
1 967
 
4.7%
동 964
 
4.7%
호 935
 
4.5%
산 812
 
3.9%
부 794
 
3.8%
0 725
 
3.5%
지 698
 
3.4%
광 676
 
3.3%
시 671
 
3.2%
Other values (341) 9360
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12040
58.1%
Decimal Number 4493
 
21.7%
Space Separator 4120
 
19.9%
Uppercase Letter 41
 
0.2%
Lowercase Letter 18
 
0.1%
Dash Punctuation 5
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 964
 
8.0%
호 935
 
7.8%
산 812
 
6.7%
부 794
 
6.6%
지 698
 
5.8%
광 676
 
5.6%
시 671
 
5.6%
역 657
 
5.5%
구 654
 
5.4%
번 653
 
5.4%
Other values (300) 4526
37.6%
Uppercase Letter
ValueCountFrequency (%)
A 7
17.1%
B 5
12.2%
K 5
12.2%
S 5
12.2%
C 3
7.3%
H 3
7.3%
W 2
 
4.9%
E 2
 
4.9%
L 2
 
4.9%
U 2
 
4.9%
Other values (5) 5
12.2%
Decimal Number
ValueCountFrequency (%)
1 967
21.5%
0 725
16.1%
2 573
12.8%
3 490
10.9%
4 368
 
8.2%
5 333
 
7.4%
6 286
 
6.4%
7 278
 
6.2%
8 244
 
5.4%
9 229
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
38.9%
a 2
 
11.1%
k 2
 
11.1%
o 1
 
5.6%
l 1
 
5.6%
i 1
 
5.6%
v 1
 
5.6%
d 1
 
5.6%
t 1
 
5.6%
s 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
· 1
25.0%
Space Separator
ValueCountFrequency (%)
4120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12040
58.1%
Common 8623
41.6%
Latin 59
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 964
 
8.0%
호 935
 
7.8%
산 812
 
6.7%
부 794
 
6.6%
지 698
 
5.8%
광 676
 
5.6%
시 671
 
5.6%
역 657
 
5.5%
구 654
 
5.4%
번 653
 
5.4%
Other values (300) 4526
37.6%
Latin
ValueCountFrequency (%)
A 7
 
11.9%
e 7
 
11.9%
B 5
 
8.5%
K 5
 
8.5%
S 5
 
8.5%
C 3
 
5.1%
H 3
 
5.1%
a 2
 
3.4%
W 2
 
3.4%
E 2
 
3.4%
Other values (15) 18
30.5%
Common
ValueCountFrequency (%)
4120
47.8%
1 967
 
11.2%
0 725
 
8.4%
2 573
 
6.6%
3 490
 
5.7%
4 368
 
4.3%
5 333
 
3.9%
6 286
 
3.3%
7 278
 
3.2%
8 244
 
2.8%
Other values (6) 239
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12040
58.1%
ASCII 8681
41.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4120
47.5%
1 967
 
11.1%
0 725
 
8.4%
2 573
 
6.6%
3 490
 
5.6%
4 368
 
4.2%
5 333
 
3.8%
6 286
 
3.3%
7 278
 
3.2%
8 244
 
2.8%
Other values (30) 297
 
3.4%
Hangul
ValueCountFrequency (%)
동 964
 
8.0%
호 935
 
7.8%
산 812
 
6.7%
부 794
 
6.6%
지 698
 
5.8%
광 676
 
5.6%
시 671
 
5.6%
역 657
 
5.5%
구 654
 
5.4%
번 653
 
5.4%
Other values (300) 4526
37.6%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

Distinct655
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-17T00:17:16.481432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length34.830357
Min length20

Characters and Unicode

Total characters23406
Distinct characters380
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique641 ?
Unique (%)95.4%

Sample

1st row부산광역시 해운대구 좌동순환로299번길 11 (좌동)
2nd row부산광역시 연제구 법원남로16번길 21, 7층 (거제동)
3rd row부산광역시 부산진구 가야대로482번길 8 (개금동)
4th row부산광역시 동래구 충렬대로 260, 2층 (낙민동)
5th row부산광역시 부산진구 가야대로482번길 8 (개금동)
ValueCountFrequency (%)
부산광역시 672
 
15.3%
부산진구 83
 
1.9%
해운대구 76
 
1.7%
동래구 74
 
1.7%
2층 63
 
1.4%
연제구 56
 
1.3%
사하구 49
 
1.1%
금정구 47
 
1.1%
수영구 45
 
1.0%
3층 44
 
1.0%
Other values (1364) 3179
72.4%
2024-04-17T00:17:16.915366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3716
 
15.9%
동 1040
 
4.4%
1 902
 
3.9%
산 845
 
3.6%
부 816
 
3.5%
, 785
 
3.4%
광 708
 
3.0%
시 706
 
3.0%
구 679
 
2.9%
로 677
 
2.9%
Other values (370) 12532
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13369
57.1%
Decimal Number 4071
 
17.4%
Space Separator 3716
 
15.9%
Other Punctuation 786
 
3.4%
Open Punctuation 658
 
2.8%
Close Punctuation 658
 
2.8%
Dash Punctuation 80
 
0.3%
Uppercase Letter 44
 
0.2%
Lowercase Letter 23
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1040
 
7.8%
산 845
 
6.3%
부 816
 
6.1%
광 708
 
5.3%
시 706
 
5.3%
구 679
 
5.1%
로 677
 
5.1%
역 674
 
5.0%
대 410
 
3.1%
호 331
 
2.5%
Other values (327) 6483
48.5%
Uppercase Letter
ValueCountFrequency (%)
A 7
15.9%
K 7
15.9%
B 5
11.4%
S 5
11.4%
H 3
6.8%
T 3
6.8%
L 2
 
4.5%
C 2
 
4.5%
U 2
 
4.5%
W 2
 
4.5%
Other values (5) 6
13.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
39.1%
a 2
 
8.7%
k 2
 
8.7%
d 2
 
8.7%
s 2
 
8.7%
i 1
 
4.3%
v 1
 
4.3%
l 1
 
4.3%
o 1
 
4.3%
t 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 902
22.2%
0 604
14.8%
2 597
14.7%
3 513
12.6%
4 313
 
7.7%
5 305
 
7.5%
6 267
 
6.6%
7 215
 
5.3%
9 192
 
4.7%
8 163
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 785
99.9%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3716
100.0%
Open Punctuation
ValueCountFrequency (%)
( 658
100.0%
Close Punctuation
ValueCountFrequency (%)
) 658
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13369
57.1%
Common 9970
42.6%
Latin 67
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1040
 
7.8%
산 845
 
6.3%
부 816
 
6.1%
광 708
 
5.3%
시 706
 
5.3%
구 679
 
5.1%
로 677
 
5.1%
역 674
 
5.0%
대 410
 
3.1%
호 331
 
2.5%
Other values (327) 6483
48.5%
Latin
ValueCountFrequency (%)
e 9
13.4%
A 7
 
10.4%
K 7
 
10.4%
B 5
 
7.5%
S 5
 
7.5%
H 3
 
4.5%
T 3
 
4.5%
L 2
 
3.0%
a 2
 
3.0%
k 2
 
3.0%
Other values (16) 22
32.8%
Common
ValueCountFrequency (%)
3716
37.3%
1 902
 
9.0%
, 785
 
7.9%
( 658
 
6.6%
) 658
 
6.6%
0 604
 
6.1%
2 597
 
6.0%
3 513
 
5.1%
4 313
 
3.1%
5 305
 
3.1%
Other values (7) 919
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13369
57.1%
ASCII 10036
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3716
37.0%
1 902
 
9.0%
, 785
 
7.8%
( 658
 
6.6%
) 658
 
6.6%
0 604
 
6.0%
2 597
 
5.9%
3 513
 
5.1%
4 313
 
3.1%
5 305
 
3.0%
Other values (32) 985
 
9.8%
Hangul
ValueCountFrequency (%)
동 1040
 
7.8%
산 845
 
6.3%
부 816
 
6.1%
광 708
 
5.3%
시 706
 
5.3%
구 679
 
5.1%
로 677
 
5.1%
역 674
 
5.0%
대 410
 
3.1%
호 331
 
2.5%
Other values (327) 6483
48.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing672
Missing (%)100.0%
Memory size6.0 KiB

사업장명
Text

Distinct651
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-17T00:17:17.192770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.59375
Min length2

Characters and Unicode

Total characters5775
Distinct characters367
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

Unique635 ?
Unique (%)94.5%

Sample

1st row마임 해운대좌동지사
2nd row법조타운지사
3rd row마임부산개금지사
4th row마임낙민지사
5th row마임개금지사
ValueCountFrequency (%)
인셀덤 141
 
12.3%
유니베라 33
 
2.9%
대리점 27
 
2.4%
아모레 26
 
2.3%
건강생활 20
 
1.7%
오휘 19
 
1.7%
알즈너 13
 
1.1%
나르지오워킹화 13
 
1.1%
마임 13
 
1.1%
아모레퍼시픽 10
 
0.9%
Other values (699) 829
72.5%
2024-04-17T00:17:17.609656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
472
 
8.2%
점 286
 
5.0%
인 235
 
4.1%
셀 230
 
4.0%
덤 221
 
3.8%
지 199
 
3.4%
대 167
 
2.9%
사 158
 
2.7%
리 153
 
2.6%
부 112
 
1.9%
Other values (357) 3542
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4963
85.9%
Space Separator 472
 
8.2%
Uppercase Letter 91
 
1.6%
Open Punctuation 82
 
1.4%
Close Punctuation 82
 
1.4%
Lowercase Letter 79
 
1.4%
Other Punctuation 3
 
0.1%
Decimal Number 1
 
< 0.1%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 286
 
5.8%
인 235
 
4.7%
셀 230
 
4.6%
덤 221
 
4.5%
지 199
 
4.0%
대 167
 
3.4%
사 158
 
3.2%
리 153
 
3.1%
부 112
 
2.3%
산 103
 
2.1%
Other values (310) 3099
62.4%
Uppercase Letter
ValueCountFrequency (%)
G 10
 
11.0%
C 8
 
8.8%
K 8
 
8.8%
T 8
 
8.8%
S 8
 
8.8%
N 6
 
6.6%
O 5
 
5.5%
M 4
 
4.4%
J 4
 
4.4%
L 4
 
4.4%
Other values (12) 26
28.6%
Lowercase Letter
ValueCountFrequency (%)
e 17
21.5%
o 11
13.9%
n 9
11.4%
h 6
 
7.6%
r 5
 
6.3%
a 5
 
6.3%
l 5
 
6.3%
d 4
 
5.1%
u 3
 
3.8%
c 3
 
3.8%
Other values (7) 11
13.9%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
472
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4960
85.9%
Common 641
 
11.1%
Latin 170
 
2.9%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 286
 
5.8%
인 235
 
4.7%
셀 230
 
4.6%
덤 221
 
4.5%
지 199
 
4.0%
대 167
 
3.4%
사 158
 
3.2%
리 153
 
3.1%
부 112
 
2.3%
산 103
 
2.1%
Other values (307) 3096
62.4%
Latin
ValueCountFrequency (%)
e 17
 
10.0%
o 11
 
6.5%
G 10
 
5.9%
n 9
 
5.3%
C 8
 
4.7%
K 8
 
4.7%
T 8
 
4.7%
S 8
 
4.7%
h 6
 
3.5%
N 6
 
3.5%
Other values (29) 79
46.5%
Common
ValueCountFrequency (%)
472
73.6%
( 82
 
12.8%
) 82
 
12.8%
. 2
 
0.3%
2 1
 
0.2%
- 1
 
0.2%
& 1
 
0.2%
Han
ValueCountFrequency (%)
美 1
25.0%
曜 1
25.0%
娥 1
25.0%
照 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4959
85.9%
ASCII 811
 
14.0%
CJK 4
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
472
58.2%
( 82
 
10.1%
) 82
 
10.1%
e 17
 
2.1%
o 11
 
1.4%
G 10
 
1.2%
n 9
 
1.1%
C 8
 
1.0%
K 8
 
1.0%
T 8
 
1.0%
Other values (36) 104
 
12.8%
Hangul
ValueCountFrequency (%)
점 286
 
5.8%
인 235
 
4.7%
셀 230
 
4.6%
덤 221
 
4.5%
지 199
 
4.0%
대 167
 
3.4%
사 158
 
3.2%
리 153
 
3.1%
부 112
 
2.3%
산 103
 
2.1%
Other values (306) 3095
62.4%
CJK
ValueCountFrequency (%)
美 1
25.0%
曜 1
25.0%
娥 1
25.0%
照 1
25.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct262
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0189082 × 1013
Minimum2.0130806 × 1013
Maximum2.021033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:17.772234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130806 × 1013
5-th percentile2.0140512 × 1013
Q12.0180125 × 1013
median2.0200323 × 1013
Q32.0200928 × 1013
95-th percentile2.0210219 × 1013
Maximum2.021033 × 1013
Range7.9524 × 1010
Interquartile range (IQR)2.0803 × 1010

Descriptive statistics

Standard deviation1.9701251 × 1010
Coefficient of variation (CV)0.00097583692
Kurtosis0.72750512
Mean2.0189082 × 1013
Median Absolute Deviation (MAD)9.313 × 109
Skewness-1.2601416
Sum1.3567063 × 1016
Variance3.881393 × 1020
MonotonicityNot monotonic
2024-04-17T00:17:17.923067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170517000000 43
 
6.4%
20200519000000 30
 
4.5%
20170516000000 30
 
4.5%
20200410000000 29
 
4.3%
20201022000000 22
 
3.3%
20201216000000 21
 
3.1%
20210219000000 18
 
2.7%
20210121000000 14
 
2.1%
20210316000000 14
 
2.1%
20200302000000 14
 
2.1%
Other values (252) 437
65.0%
ValueCountFrequency (%)
20130806000000 3
0.4%
20130821000000 1
 
0.1%
20131213000000 2
0.3%
20131219000000 1
 
0.1%
20131227000000 1
 
0.1%
20140103000000 1
 
0.1%
20140110000000 1
 
0.1%
20140219000000 1
 
0.1%
20140220000000 1
 
0.1%
20140221000000 1
 
0.1%
ValueCountFrequency (%)
20210330000000 1
 
0.1%
20210329000000 1
 
0.1%
20210326000000 2
 
0.3%
20210324000000 2
 
0.3%
20210322000000 1
 
0.1%
20210317000000 1
 
0.1%
20210316000000 14
2.1%
20210312000000 3
 
0.4%
20210308000000 1
 
0.1%
20210305000000 1
 
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
I
389 
U
283 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 389
57.9%
U 283
42.1%

Length

2024-04-17T00:17:18.060529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:18.146131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 389
57.9%
u 283
42.1%

데이터갱신일자
Date

Distinct183
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-01 02:40:00
2024-04-17T00:17:18.246415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T00:17:18.388094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing672
Missing (%)100.0%
Memory size6.0 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct549
Distinct (%)83.9%
Missing18
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean388560.46
Minimum367397.01
Maximum407624.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:18.525786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367397.01
5-th percentile379569.34
Q1385088.92
median388923.76
Q3391949.16
95-th percentile398224.58
Maximum407624.82
Range40227.809
Interquartile range (IQR)6860.2483

Descriptive statistics

Standard deviation5743.8561
Coefficient of variation (CV)0.0147824
Kurtosis0.63176409
Mean388560.46
Median Absolute Deviation (MAD)3291.9272
Skewness-0.16807105
Sum2.5411854 × 108
Variance32991883
MonotonicityNot monotonic
2024-04-17T00:17:18.670720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388957.42402057 8
 
1.2%
392565.556346578 7
 
1.0%
387579.291668791 6
 
0.9%
380901.229444213 4
 
0.6%
392474.578116018 3
 
0.4%
381763.470663811 3
 
0.4%
389644.624147515 3
 
0.4%
389196.054357731 3
 
0.4%
395615.201853958 3
 
0.4%
392314.744635131 3
 
0.4%
Other values (539) 611
90.9%
(Missing) 18
 
2.7%
ValueCountFrequency (%)
367397.014357092 1
0.1%
367538.377345509 1
0.1%
370046.0 1
0.1%
370927.882539772 2
0.3%
371348.984954999 1
0.1%
372242.81094828 1
0.1%
373016.981172454 1
0.1%
373314.657115866 1
0.1%
373512.89135141 1
0.1%
374065.395250895 1
0.1%
ValueCountFrequency (%)
407624.823179674 1
0.1%
402395.207126 1
0.1%
401752.244540788 1
0.1%
401716.51035484 1
0.1%
401709.206084507 1
0.1%
401690.013042066 1
0.1%
401688.244989316 1
0.1%
401679.301263938 1
0.1%
401566.670767291 1
0.1%
401544.23446258 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct550
Distinct (%)84.1%
Missing18
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean187862.71
Minimum174544.24
Maximum206821.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-17T00:17:18.809142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174544.24
5-th percentile178991.01
Q1184182.04
median187520.02
Q3191158.91
95-th percentile197170.52
Maximum206821.49
Range32277.244
Interquartile range (IQR)6976.8684

Descriptive statistics

Standard deviation5933.3848
Coefficient of variation (CV)0.031583622
Kurtosis1.021915
Mean187862.71
Median Absolute Deviation (MAD)3480.1871
Skewness0.62357638
Sum1.2286221 × 108
Variance35205056
MonotonicityNot monotonic
2024-04-17T00:17:18.932370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188908.124798577 8
 
1.2%
187136.980524393 7
 
1.0%
184263.875327669 6
 
0.9%
186445.430953537 4
 
0.6%
186406.750870936 3
 
0.4%
185319.292679159 3
 
0.4%
194786.946259107 3
 
0.4%
183716.216535573 3
 
0.4%
186358.666774258 3
 
0.4%
179773.626920336 3
 
0.4%
Other values (540) 611
90.9%
(Missing) 18
 
2.7%
ValueCountFrequency (%)
174544.244652845 1
0.1%
174921.557665483 2
0.3%
174964.323684667 1
0.1%
175079.16718355 1
0.1%
175849.843042 1
0.1%
176595.034934652 1
0.1%
177138.351830749 1
0.1%
177362.961067897 1
0.1%
177378.090371603 1
0.1%
177420.077660308 1
0.1%
ValueCountFrequency (%)
206821.489013 2
0.3%
206475.252052201 1
 
0.1%
206378.281379 1
 
0.1%
206343.359052 1
 
0.1%
206319.0 2
0.3%
206096.536231 1
 
0.1%
205965.90747 3
0.4%
205517.174415 1
 
0.1%
205360.48497 2
0.3%
205074.178507 2
0.3%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
후원방문판매업
672 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
후원방문판매업 672
100.0%

Length

2024-04-17T00:17:19.057242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:19.146025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업 672
100.0%

자본금의규모
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
0
672 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 672
100.0%

Length

2024-04-17T00:17:19.247425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:19.361159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 672
100.0%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing672
Missing (%)100.0%
Memory size6.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명자본금의규모Unnamed: 30
01후원방문판매업체08_26_05_P62600002013626000030100024120130814<NA>2휴업3휴업<NA>20131218<NA><NA>515011171<NA>612766부산광역시 해운대구 좌동 1439번지부산광역시 해운대구 좌동순환로299번길 11 (좌동)<NA>마임 해운대좌동지사20131219000000I2018-08-31 23:59:59.0<NA>398942.053775187848.185539후원방문판매업0<NA>
12후원방문판매업체08_26_05_P62600002013626000030100024820130814<NA>2휴업3휴업<NA>2016071820160718<NA>515078823<NA>611070부산광역시 연제구 거제동 1487번지 2호 7층호부산광역시 연제구 법원남로16번길 21, 7층 (거제동)<NA>법조타운지사20160722000000I2018-08-31 23:59:59.0<NA>388924.707639190031.891378후원방문판매업0<NA>
23후원방문판매업체08_26_05_P62600002015626000030100000520150406<NA>2휴업3휴업<NA><NA><NA><NA><NA><NA>614813부산광역시 부산진구 개금동 171번지 122호부산광역시 부산진구 가야대로482번길 8 (개금동)<NA>마임부산개금지사20170516000000I2018-08-31 23:59:59.0<NA>384424.722111185602.927062후원방문판매업0<NA>
34후원방문판매업체08_26_05_P62600002013626000030100019720130806<NA>3폐업4폐업20151201<NA><NA><NA>515585554<NA>607800부산광역시 동래구 낙민동 278번지부산광역시 동래구 충렬대로 260, 2층 (낙민동)<NA>마임낙민지사20151201000000I2018-08-31 23:59:59.0<NA>390038.938856191065.191554후원방문판매업0<NA>
45후원방문판매업체08_26_05_P62600002013626000030100019820130806<NA>3폐업4폐업20140219<NA><NA><NA>518975388<NA>614813부산광역시 부산진구 개금동 171번지 122호부산광역시 부산진구 가야대로482번길 8 (개금동)<NA>마임개금지사20140219000000I2018-08-31 23:59:59.0<NA>384424.722111185602.927062후원방문판매업0<NA>
56후원방문판매업체08_26_05_P62600002013626000030100019920130806<NA>3폐업4폐업20190926<NA><NA><NA>517243119<NA>619901부산광역시 기장군 기장읍 교리 335번지 2호 A동 203호부산광역시 기장군 기장읍 반송로 1621, A동 203호<NA>마임기장동부20190926000000U2019-09-28 02:40:00.0<NA>401566.670767196875.098439후원방문판매업0<NA>
67후원방문판매업체08_26_05_P62600002013626000030100020020130806<NA>3폐업4폐업20160808<NA><NA><NA>515022332<NA>607120부산광역시 동래구 사직동 144번지 26호부산광역시 동래구 여고북로 236, 2층 (사직동)<NA>마임동래동부지사20160808000000I2018-08-31 23:59:59.0<NA>389129.04253191223.927134후원방문판매업0<NA>
78후원방문판매업체08_26_05_P62600002013626000030100020120130806<NA>3폐업4폐업20140428<NA><NA><NA>516359197<NA>601808부산광역시 동구 범일동 830번지 266호 1101호부산광역시 동구 조방로 27, 10층 1101호 (범일동)<NA>아모레퍼시픽 미래지사20140428000000I2018-08-31 23:59:59.0<NA>387804.302601184182.043396후원방문판매업0<NA>
89후원방문판매업체08_26_05_P62600002013626000030100020220130806<NA>3폐업4폐업20140723<NA><NA><NA>516279598<NA>611080부산광역시 연제구 연산동 643번지 5호 3층부산광역시 연제구 고분로32번길 41, 3층 (연산동)<NA>마임. 연일지사20140723000000I2018-08-31 23:59:59.0<NA>389936.89461189160.983137후원방문판매업0<NA>
910후원방문판매업체08_26_05_P62600002013626000030100020320130806<NA>3폐업4폐업20160304<NA><NA><NA>518176917<NA>614872부산광역시 부산진구 초읍동 173번지 16호부산광역시 부산진구 성지로 124 (초읍동)<NA>부산마임성지20160307000000I2018-08-31 23:59:59.0<NA>386754.152024188766.270389후원방문판매업0<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명자본금의규모Unnamed: 30
662663후원방문판매업체08_26_05_P62600002020626000030100019720201118<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>47885부산광역시 동래구 낙민동 326번지 0호 동래꿈에그린아파트 102동 2004호부산광역시 동래구 온천천로339번길 51, 동래꿈에그린아파트 102동 2004호 (낙민동)<NA>빛이 인셀덤20201229000000U2020-12-31 02:40:00.0<NA><NA><NA>후원방문판매업0<NA>
663664후원방문판매업체08_26_05_P62600002021626000030100002720210219<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>48747부산광역시 동구 범일동 319번지 8호부산광역시 동구 범일로 72 (범일동)<NA>인셀덤 LYNN20210322000000U2021-03-24 02:40:00.0<NA>387631.0183557.0후원방문판매업0<NA>
664665후원방문판매업체08_26_05_P62600002021626000030100004820210302<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>47710부산광역시 동래구 온천동 153번지 8호 SKHUBSKY 67호부산광역시 동래구 중앙대로 1523, SKHUBSKY b1층 67호 (온천동)<NA>인셀덤 라라20210326000000I2021-03-28 00:22:59.0<NA>389816.233001193329.605871후원방문판매업0<NA>
665666후원방문판매업체08_26_05_P62600002018626000030100000620180319<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>46651부산광역시 북구 구포동 1103번지 2호 현대아파트 106동 405호부산광역시 북구 백양대로 1003, 106동 405호 (구포동, 현대아파트)<NA>알즈너 보은대리점20190226000000U2019-02-28 02:40:00.0<NA>381432.330084190402.183263후원방문판매업0<NA>
666667후원방문판매업체08_26_05_P62600002013626000030100010720130802<NA>1영업/정상2영업<NA><NA><NA><NA>513143253<NA>617831부산광역시 사상구 엄궁동 573번지 해영빌딩 501호부산광역시 사상구 대동로 9, 501호 (엄궁동,해영빌딩)<NA>아모레 승학특약점20200410000000U2020-04-12 02:40:00.0<NA>379725.397676183221.227112후원방문판매업0<NA>
667668후원방문판매업체08_26_05_P62600002013626000030100012020130802<NA>1영업/정상2영업<NA><NA><NA><NA>517849911<NA>612050부산광역시 해운대구 재송동 570번지 5호 C동부산광역시 해운대구 해운대로191번길 10 (재송동)<NA>아모레벡스코특약점20200410000000U2020-04-12 02:40:00.0<NA>393469.005202188925.312666후원방문판매업0<NA>
668669후원방문판매업체08_26_05_P62600002013626000030100012520130802<NA>1영업/정상2영업<NA><NA><NA><NA>515212130<NA>607100부산광역시 동래구 안락동 53번지 4호부산광역시 동래구 충렬대로 506 (안락동)<NA>아모레새동래특약점20200410000000U2020-04-12 02:40:00.0<NA>392381.184378190361.094318후원방문판매업0<NA>
669670후원방문판매업체08_26_05_P62600002013626000030100013520130802<NA>1영업/정상2영업<NA><NA><NA><NA>515526592<NA>607050부산광역시 동래구 수안동 182번지 세띠앙상가 513호부산광역시 동래구 충렬대로238번길 7, 513호 (수안동,세띠앙상가)<NA>아모레수안특약점20200410000000U2020-04-12 02:40:00.0<NA>389852.387195191077.466795후원방문판매업0<NA>
670671후원방문판매업체08_26_05_P62600002018626000030100002420181205<NA>1영업/정상2영업<NA><NA><NA><NA>519956135<NA>47026부산광역시 사상구 학장동 730번지 19호부산광역시 사상구 학장로95번길 60 (학장동)<NA>미트리(주)20201210000000U2020-12-12 02:40:00.0<NA>379941.317876184262.443646후원방문판매업0<NA>
671672후원방문판매업체08_26_05_P62600002020626000030100020220200831<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>46734부산광역시 강서구 녹산동 1199번지 0호부산광역시 강서구 낙동남로 420 (녹산동)<NA>인셀덤 에바20201208000000I2020-12-10 00:23:07.0<NA>370046.0180729.0후원방문판매업0<NA>