Overview

Dataset statistics

Number of variables31
Number of observations637
Missing cells4676
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory166.2 KiB
Average record size in memory267.2 B

Variable types

Numeric9
Categorical12
Unsupported6
Text3
DateTime1

Dataset

Description2021-03-01
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 (97.9%)Imbalance
휴업종료일자 is highly imbalanced (98.3%)Imbalance
인허가취소일자 has 637 (100.0%) missing valuesMissing
폐업일자 has 425 (66.7%) missing valuesMissing
재개업일자 has 637 (100.0%) missing valuesMissing
소재지전화 has 290 (45.5%) missing valuesMissing
소재지면적 has 637 (100.0%) missing valuesMissing
소재지우편번호 has 93 (14.6%) missing valuesMissing
소재지전체주소 has 18 (2.8%) missing valuesMissing
도로명우편번호 has 637 (100.0%) missing valuesMissing
업태구분명 has 637 (100.0%) missing valuesMissing
좌표정보(x) has 14 (2.2%) missing valuesMissing
좌표정보(y) has 14 (2.2%) missing valuesMissing
Unnamed: 30 has 637 (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 15:17:30.847992
Analysis finished2024-04-16 15:17:31.518426
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct637
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319
Minimum1
Maximum637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:31.577565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.8
Q1160
median319
Q3478
95-th percentile605.2
Maximum637
Range636
Interquartile range (IQR)318

Descriptive statistics

Standard deviation184.03034
Coefficient of variation (CV)0.57689762
Kurtosis-1.2
Mean319
Median Absolute Deviation (MAD)159
Skewness0
Sum203203
Variance33867.167
MonotonicityStrictly increasing
2024-04-17T00:17:31.701477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
429 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
426 1
 
0.2%
427 1
 
0.2%
428 1
 
0.2%
430 1
 
0.2%
Other values (627) 627
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
637 1
0.2%
636 1
0.2%
635 1
0.2%
634 1
0.2%
633 1
0.2%
632 1
0.2%
631 1
0.2%
630 1
0.2%
629 1
0.2%
628 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
후원방문판매업체
637 

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 637
100.0%

Length

2024-04-17T00:17:31.825119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:31.928261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업체 637
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
08_26_05_P
637 

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 637
100.0%

Length

2024-04-17T00:17:32.020263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:32.102319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_05_p 637
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
6260000
637 

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 637
100.0%

Length

2024-04-17T00:17:32.197722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:32.281147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 637
100.0%

관리번호
Real number (ℝ)

Distinct9
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0169667 × 1019
Minimum2.013626 × 1019
Maximum2.021626 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:32.352658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.013626 × 1019
5-th percentile2.013626 × 1019
Q12.013626 × 1019
median2.016626 × 1019
Q32.020626 × 1019
95-th percentile2.020626 × 1019
Maximum2.021626 × 1019
Range8 × 1016
Interquartile range (IQR)7 × 1016

Descriptive statistics

Standard deviation3.2236052 × 1016
Coefficient of variation (CV)0.0015982442
Kurtosis-1.8145921
Mean2.0169667 × 1019
Median Absolute Deviation (MAD)3 × 1016
Skewness0.096405987
Sum1.2848078 × 1022
Variance1.039163 × 1033
MonotonicityNot monotonic
2024-04-17T00:17:32.471992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.0136260000301e+19 277
43.5%
2.0206260000301e+19 222
34.9%
2.0176260000301e+19 43
 
6.8%
2.0186260000301e+19 26
 
4.1%
2.0166260000301e+19 19
 
3.0%
2.0156260000301e+19 14
 
2.2%
2.0216260000301e+19 13
 
2.0%
2.0196260000301e+19 12
 
1.9%
2.0146260000301e+19 11
 
1.7%
ValueCountFrequency (%)
2.0136260000301e+19 277
43.5%
2.0146260000301e+19 11
 
1.7%
2.0156260000301e+19 14
 
2.2%
2.0166260000301e+19 19
 
3.0%
2.0176260000301e+19 43
 
6.8%
2.0186260000301e+19 26
 
4.1%
2.0196260000301e+19 12
 
1.9%
2.0206260000301e+19 222
34.9%
2.0216260000301e+19 13
 
2.0%
ValueCountFrequency (%)
2.0216260000301e+19 13
 
2.0%
2.0206260000301e+19 222
34.9%
2.0196260000301e+19 12
 
1.9%
2.0186260000301e+19 26
 
4.1%
2.0176260000301e+19 43
 
6.8%
2.0166260000301e+19 19
 
3.0%
2.0156260000301e+19 14
 
2.2%
2.0146260000301e+19 11
 
1.7%
2.0136260000301e+19 277
43.5%

인허가일자
Real number (ℝ)

Distinct138
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20164111
Minimum20130719
Maximum20210121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:32.613646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130719
5-th percentile20130724
Q120130806
median20161201
Q320200420
95-th percentile20201216
Maximum20210121
Range79402
Interquartile range (IQR)69614

Descriptive statistics

Standard deviation32151.892
Coefficient of variation (CV)0.0015945108
Kurtosis-1.8165632
Mean20164111
Median Absolute Deviation (MAD)30400
Skewness0.095100555
Sum1.2844539 × 1010
Variance1.0337442 × 109
MonotonicityNot monotonic
2024-04-17T00:17:32.745374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130806 69
 
10.8%
20130802 50
 
7.8%
20200302 43
 
6.8%
20130724 36
 
5.7%
20200519 35
 
5.5%
20130807 24
 
3.8%
20200319 23
 
3.6%
20130801 22
 
3.5%
20201216 19
 
3.0%
20200618 18
 
2.8%
Other values (128) 298
46.8%
ValueCountFrequency (%)
20130719 1
 
0.2%
20130724 36
5.7%
20130730 12
 
1.9%
20130731 16
 
2.5%
20130801 22
 
3.5%
20130802 50
7.8%
20130806 69
10.8%
20130807 24
 
3.8%
20130808 2
 
0.3%
20130813 10
 
1.6%
ValueCountFrequency (%)
20210121 13
2.0%
20201222 1
 
0.2%
20201216 19
3.0%
20201118 9
1.4%
20201105 1
 
0.2%
20201028 1
 
0.2%
20201022 8
1.3%
20200928 1
 
0.2%
20200921 12
1.9%
20200908 1
 
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing637
Missing (%)100.0%
Memory size5.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
1
397 
3
235 
2
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 397
62.3%
3 235
36.9%
2 3
 
0.5%
4 2
 
0.3%

Length

2024-04-17T00:17:32.884727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:32.987645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 397
62.3%
3 235
36.9%
2 3
 
0.5%
4 2
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
영업/정상
397 
폐업
235 
휴업
 
3
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.9073783
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 397
62.3%
폐업 235
36.9%
휴업 3
 
0.5%
취소/말소/만료/정지/중지 2
 
0.3%

Length

2024-04-17T00:17:33.099845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:33.194380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 397
62.3%
폐업 235
36.9%
휴업 3
 
0.5%
취소/말소/만료/정지/중지 2
 
0.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
4
235 
BBBB
218 
2
179 
3
 
3
6
 
2

Length

Max length4
Median length1
Mean length2.0266876
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 235
36.9%
BBBB 218
34.2%
2 179
28.1%
3 3
 
0.5%
6 2
 
0.3%

Length

2024-04-17T00:17:33.297238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:33.395026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 235
36.9%
bbbb 218
34.2%
2 179
28.1%
3 3
 
0.5%
6 2
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
영업
397 
폐업
235 
휴업
 
3
직권말소
 
2

Length

Max length4
Median length2
Mean length2.0062794
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 397
62.3%
폐업 235
36.9%
휴업 3
 
0.5%
직권말소 2
 
0.3%

Length

2024-04-17T00:17:33.502688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:33.602449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 397
62.3%
폐업 235
36.9%
휴업 3
 
0.5%
직권말소 2
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)78.8%
Missing425
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean20176698
Minimum20130730
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:33.727873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130730
5-th percentile20140228
Q120151154
median20181104
Q320200351
95-th percentile20201214
Maximum20210122
Range79392
Interquartile range (IQR)49196.25

Descriptive statistics

Standard deviation23452.789
Coefficient of variation (CV)0.00116237
Kurtosis-1.2167561
Mean20176698
Median Absolute Deviation (MAD)19562
Skewness-0.50179915
Sum4.2774601 × 109
Variance5.500333 × 108
MonotonicityNot monotonic
2024-04-17T00:17:33.870340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180612 6
 
0.9%
20140304 6
 
0.9%
20140306 4
 
0.6%
20141217 3
 
0.5%
20150225 3
 
0.5%
20171229 3
 
0.5%
20200519 3
 
0.5%
20140305 3
 
0.5%
20200416 3
 
0.5%
20200721 2
 
0.3%
Other values (157) 176
27.6%
(Missing) 425
66.7%
ValueCountFrequency (%)
20130730 1
0.2%
20131209 1
0.2%
20131211 1
0.2%
20131226 1
0.2%
20140102 1
0.2%
20140110 1
0.2%
20140219 1
0.2%
20140220 1
0.2%
20140221 1
0.2%
20140226 1
0.2%
ValueCountFrequency (%)
20210122 2
0.3%
20210112 1
0.2%
20210105 1
0.2%
20201230 1
0.2%
20201224 1
0.2%
20201222 1
0.2%
20201218 1
0.2%
20201217 1
0.2%
20201215 2
0.3%
20201214 1
0.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
635 
20160718
 
1
20131218
 
1

Length

Max length8
Median length4
Mean length4.0125589
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 635
99.7%
20160718 1
 
0.2%
20131218 1
 
0.2%

Length

2024-04-17T00:17:34.034812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:34.123719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 635
99.7%
20160718 1
 
0.2%
20131218 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
636 
20160718
 
1

Length

Max length8
Median length4
Mean length4.0062794
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 636
99.8%
20160718 1
 
0.2%

Length

2024-04-17T00:17:34.239925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:34.333874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 636
99.8%
20160718 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing637
Missing (%)100.0%
Memory size5.7 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct313
Distinct (%)90.2%
Missing290
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean6.2943331 × 108
Minimum15884008
Maximum7.088695 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:34.425589image/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
2024-04-17T00:17:34.558116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
517554999 5
 
0.8%
518677355 3
 
0.5%
518162589 2
 
0.3%
513321709 2
 
0.3%
512085551 2
 
0.3%
513212290 2
 
0.3%
517020088 2
 
0.3%
516127992 2
 
0.3%
516435252 2
 
0.3%
510000000 2
 
0.3%
Other values (303) 323
50.7%
(Missing) 290
45.5%
ValueCountFrequency (%)
15884008 1
0.2%
15884108 1
0.2%
51442525 1
0.2%
51714060 1
0.2%
508070411 1
0.2%
510000000 2
0.3%
511577264 1
0.2%
512014979 1
0.2%
512034244 1
0.2%
512041994 1
0.2%
ValueCountFrequency (%)
7088694985 1
0.2%
7082720561 1
0.2%
7082481746 1
0.2%
7071007372 1
0.2%
7041892558 1
0.2%
6173609598 1
0.2%
3055202111 1
0.2%
707715623 1
0.2%
704282734 1
0.2%
519956135 1
0.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing637
Missing (%)100.0%
Memory size5.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct400
Distinct (%)73.5%
Missing93
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean308387.36
Minimum46002
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:34.690465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46235.15
Q147600.75
median49227
Q3611080
95-th percentile616820.85
Maximum619961
Range573959
Interquartile range (IQR)563479.25

Descriptive statistics

Standard deviation280971.92
Coefficient of variation (CV)0.91110066
Kurtosis-1.9846404
Mean308387.36
Median Absolute Deviation (MAD)3002
Skewness0.14833027
Sum1.6776272 × 108
Variance7.8945222 × 1010
MonotonicityNot monotonic
2024-04-17T00:17:34.818222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611080 8
 
1.3%
607100 6
 
0.9%
46525 5
 
0.8%
612020 5
 
0.8%
613811 4
 
0.6%
613010 4
 
0.6%
604010 4
 
0.6%
609310 4
 
0.6%
47542 4
 
0.6%
601808 4
 
0.6%
Other values (390) 496
77.9%
(Missing) 93
 
14.6%
ValueCountFrequency (%)
46002 1
 
0.2%
46007 2
0.3%
46008 1
 
0.2%
46009 2
0.3%
46010 3
0.5%
46015 1
 
0.2%
46016 2
0.3%
46035 1
 
0.2%
46051 1
 
0.2%
46055 1
 
0.2%
ValueCountFrequency (%)
619961 2
0.3%
619905 3
0.5%
619903 1
 
0.2%
619901 1
 
0.2%
618270 1
 
0.2%
617837 1
 
0.2%
617836 1
 
0.2%
617835 1
 
0.2%
617833 1
 
0.2%
617831 1
 
0.2%

소재지전체주소
Text

MISSING 

Distinct594
Distinct (%)96.0%
Missing18
Missing (%)2.8%
Memory size5.1 KiB
2024-04-17T00:17:35.141115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length31.240711
Min length19

Characters and Unicode

Total characters19338
Distinct characters345
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

Unique576 ?
Unique (%)93.1%

Sample

1st row부산광역시 부산진구 범천동 876번지 47호
2nd row부산광역시 해운대구 좌동 1479번지 3호 세종월드프라자 215호
3rd row부산광역시 동구 범일동 833번지 29호
4th row부산광역시 해운대구 우동 539번지 10호 해운대라뮤에뜨 상점-317호
5th row부산광역시 기장군 기장읍 교리 354번지 11호 제일학원
ValueCountFrequency (%)
부산광역시 619
 
15.9%
0호 103
 
2.7%
부산진구 81
 
2.1%
해운대구 69
 
1.8%
동래구 69
 
1.8%
1호 61
 
1.6%
연제구 51
 
1.3%
사하구 45
 
1.2%
금정구 44
 
1.1%
북구 42
 
1.1%
Other values (1106) 2702
69.5%
2024-04-17T00:17:35.597647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3859
20.0%
동 895
 
4.6%
1 893
 
4.6%
호 868
 
4.5%
산 768
 
4.0%
부 753
 
3.9%
0 658
 
3.4%
지 657
 
3.4%
광 638
 
3.3%
시 634
 
3.3%
Other values (335) 8715
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11258
58.2%
Decimal Number 4167
 
21.5%
Space Separator 3859
 
20.0%
Uppercase Letter 29
 
0.1%
Lowercase Letter 16
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 895
 
7.9%
호 868
 
7.7%
산 768
 
6.8%
부 753
 
6.7%
지 657
 
5.8%
광 638
 
5.7%
시 634
 
5.6%
구 621
 
5.5%
역 620
 
5.5%
번 617
 
5.5%
Other values (295) 4187
37.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
20.7%
S 3
10.3%
C 3
10.3%
K 3
10.3%
B 2
 
6.9%
E 2
 
6.9%
L 2
 
6.9%
H 2
 
6.9%
W 1
 
3.4%
I 1
 
3.4%
Other values (4) 4
13.8%
Decimal Number
ValueCountFrequency (%)
1 893
21.4%
0 658
15.8%
2 535
12.8%
3 449
10.8%
4 351
 
8.4%
5 311
 
7.5%
6 267
 
6.4%
7 260
 
6.2%
8 225
 
5.4%
9 218
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
31.2%
a 2
 
12.5%
k 2
 
12.5%
s 1
 
6.2%
t 1
 
6.2%
d 1
 
6.2%
v 1
 
6.2%
i 1
 
6.2%
l 1
 
6.2%
o 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
· 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
3859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11258
58.2%
Common 8035
41.6%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 895
 
7.9%
호 868
 
7.7%
산 768
 
6.8%
부 753
 
6.7%
지 657
 
5.8%
광 638
 
5.7%
시 634
 
5.6%
구 621
 
5.5%
역 620
 
5.5%
번 617
 
5.5%
Other values (295) 4187
37.2%
Latin
ValueCountFrequency (%)
A 6
 
13.3%
e 5
 
11.1%
S 3
 
6.7%
C 3
 
6.7%
K 3
 
6.7%
B 2
 
4.4%
E 2
 
4.4%
a 2
 
4.4%
k 2
 
4.4%
L 2
 
4.4%
Other values (14) 15
33.3%
Common
ValueCountFrequency (%)
3859
48.0%
1 893
 
11.1%
0 658
 
8.2%
2 535
 
6.7%
3 449
 
5.6%
4 351
 
4.4%
5 311
 
3.9%
6 267
 
3.3%
7 260
 
3.2%
8 225
 
2.8%
Other values (6) 227
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11258
58.2%
ASCII 8079
41.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3859
47.8%
1 893
 
11.1%
0 658
 
8.1%
2 535
 
6.6%
3 449
 
5.6%
4 351
 
4.3%
5 311
 
3.8%
6 267
 
3.3%
7 260
 
3.2%
8 225
 
2.8%
Other values (29) 271
 
3.4%
Hangul
ValueCountFrequency (%)
동 895
 
7.9%
호 868
 
7.7%
산 768
 
6.8%
부 753
 
6.7%
지 657
 
5.8%
광 638
 
5.7%
시 634
 
5.6%
구 621
 
5.5%
역 620
 
5.5%
번 617
 
5.5%
Other values (295) 4187
37.2%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

Distinct621
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-17T00:17:35.912098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length34.416013
Min length20

Characters and Unicode

Total characters21923
Distinct characters375
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

Unique608 ?
Unique (%)95.4%

Sample

1st row부산광역시 부산진구 중앙대로 583, 5층 (범천동)
2nd row부산광역시 해운대구 해운대로 814, 215호 (좌동,세종월드프라자)
3rd row부산광역시 동구 범일로 110, 1층 (범일동)
4th row부산광역시 해운대구 해운대로 620, 해운대라뮤에뜨 상점-317호 (우동)
5th row부산광역시 기장군 기장읍 차성동로172번길 1, 제일학원 3층
ValueCountFrequency (%)
부산광역시 637
 
15.5%
부산진구 82
 
2.0%
동래구 71
 
1.7%
해운대구 70
 
1.7%
2층 63
 
1.5%
연제구 53
 
1.3%
사하구 46
 
1.1%
금정구 45
 
1.1%
중앙대로 43
 
1.0%
북구 43
 
1.0%
Other values (1285) 2962
72.0%
2024-04-17T00:17:36.404946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3478
 
15.9%
동 972
 
4.4%
1 840
 
3.8%
산 799
 
3.6%
부 776
 
3.5%
, 735
 
3.4%
광 668
 
3.0%
시 668
 
3.0%
구 647
 
3.0%
로 641
 
2.9%
Other values (365) 11699
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12555
57.3%
Decimal Number 3779
 
17.2%
Space Separator 3478
 
15.9%
Other Punctuation 736
 
3.4%
Close Punctuation 624
 
2.8%
Open Punctuation 624
 
2.8%
Dash Punctuation 74
 
0.3%
Uppercase Letter 32
 
0.1%
Lowercase Letter 20
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 972
 
7.7%
산 799
 
6.4%
부 776
 
6.2%
광 668
 
5.3%
시 668
 
5.3%
구 647
 
5.2%
로 641
 
5.1%
역 638
 
5.1%
대 389
 
3.1%
호 299
 
2.4%
Other values (324) 6058
48.3%
Uppercase Letter
ValueCountFrequency (%)
A 6
18.8%
K 5
15.6%
S 3
9.4%
T 3
9.4%
B 2
 
6.2%
C 2
 
6.2%
E 2
 
6.2%
L 2
 
6.2%
H 2
 
6.2%
I 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
1 840
22.2%
0 555
14.7%
2 554
14.7%
3 482
12.8%
4 287
 
7.6%
5 282
 
7.5%
6 248
 
6.6%
7 195
 
5.2%
9 184
 
4.9%
8 152
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
35.0%
a 2
 
10.0%
d 2
 
10.0%
k 2
 
10.0%
s 2
 
10.0%
t 1
 
5.0%
v 1
 
5.0%
i 1
 
5.0%
l 1
 
5.0%
o 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 735
99.9%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3478
100.0%
Close Punctuation
ValueCountFrequency (%)
) 624
100.0%
Open Punctuation
ValueCountFrequency (%)
( 624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12555
57.3%
Common 9316
42.5%
Latin 52
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 972
 
7.7%
산 799
 
6.4%
부 776
 
6.2%
광 668
 
5.3%
시 668
 
5.3%
구 647
 
5.2%
로 641
 
5.1%
역 638
 
5.1%
대 389
 
3.1%
호 299
 
2.4%
Other values (324) 6058
48.3%
Latin
ValueCountFrequency (%)
e 7
 
13.5%
A 6
 
11.5%
K 5
 
9.6%
S 3
 
5.8%
T 3
 
5.8%
B 2
 
3.8%
C 2
 
3.8%
E 2
 
3.8%
a 2
 
3.8%
L 2
 
3.8%
Other values (14) 18
34.6%
Common
ValueCountFrequency (%)
3478
37.3%
1 840
 
9.0%
, 735
 
7.9%
) 624
 
6.7%
( 624
 
6.7%
0 555
 
6.0%
2 554
 
5.9%
3 482
 
5.2%
4 287
 
3.1%
5 282
 
3.0%
Other values (7) 855
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12555
57.3%
ASCII 9367
42.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3478
37.1%
1 840
 
9.0%
, 735
 
7.8%
) 624
 
6.7%
( 624
 
6.7%
0 555
 
5.9%
2 554
 
5.9%
3 482
 
5.1%
4 287
 
3.1%
5 282
 
3.0%
Other values (30) 906
 
9.7%
Hangul
ValueCountFrequency (%)
동 972
 
7.7%
산 799
 
6.4%
부 776
 
6.2%
광 668
 
5.3%
시 668
 
5.3%
구 647
 
5.2%
로 641
 
5.1%
역 638
 
5.1%
대 389
 
3.1%
호 299
 
2.4%
Other values (324) 6058
48.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing637
Missing (%)100.0%
Memory size5.7 KiB

사업장명
Text

Distinct618
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-17T00:17:36.669591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.6875981
Min length2

Characters and Unicode

Total characters5534
Distinct characters358
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

Unique604 ?
Unique (%)94.8%

Sample

1st rowKGC판매good서면지사
2nd row건강생활 해운대지점
3rd row나르지오 워킹화 범일점
4th row해운대 건강생활
5th row타파웨어 에이스대리점
ValueCountFrequency (%)
인셀덤 130
 
11.9%
유니베라 33
 
3.0%
아모레 26
 
2.4%
대리점 25
 
2.3%
건강생활 20
 
1.8%
오휘 19
 
1.7%
나르지오워킹화 13
 
1.2%
마임 13
 
1.2%
알즈너 13
 
1.2%
아모레퍼시픽 10
 
0.9%
Other values (665) 787
72.3%
2024-04-17T00:17:37.377836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452
 
8.2%
점 281
 
5.1%
인 211
 
3.8%
셀 206
 
3.7%
지 198
 
3.6%
덤 197
 
3.6%
대 164
 
3.0%
사 158
 
2.9%
리 145
 
2.6%
부 109
 
2.0%
Other values (348) 3413
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4773
86.2%
Space Separator 452
 
8.2%
Uppercase Letter 81
 
1.5%
Close Punctuation 78
 
1.4%
Open Punctuation 78
 
1.4%
Lowercase Letter 66
 
1.2%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 281
 
5.9%
인 211
 
4.4%
셀 206
 
4.3%
지 198
 
4.1%
덤 197
 
4.1%
대 164
 
3.4%
사 158
 
3.3%
리 145
 
3.0%
부 109
 
2.3%
산 101
 
2.1%
Other values (302) 3003
62.9%
Uppercase Letter
ValueCountFrequency (%)
G 10
12.3%
C 8
 
9.9%
K 8
 
9.9%
S 7
 
8.6%
T 6
 
7.4%
O 5
 
6.2%
M 4
 
4.9%
E 4
 
4.9%
N 4
 
4.9%
A 3
 
3.7%
Other values (11) 22
27.2%
Lowercase Letter
ValueCountFrequency (%)
e 14
21.2%
o 9
13.6%
n 7
10.6%
l 5
 
7.6%
r 4
 
6.1%
d 4
 
6.1%
h 4
 
6.1%
u 3
 
4.5%
a 3
 
4.5%
c 3
 
4.5%
Other values (7) 10
15.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4770
86.2%
Common 613
 
11.1%
Latin 147
 
2.7%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 281
 
5.9%
인 211
 
4.4%
셀 206
 
4.3%
지 198
 
4.2%
덤 197
 
4.1%
대 164
 
3.4%
사 158
 
3.3%
리 145
 
3.0%
부 109
 
2.3%
산 101
 
2.1%
Other values (299) 3000
62.9%
Latin
ValueCountFrequency (%)
e 14
 
9.5%
G 10
 
6.8%
o 9
 
6.1%
C 8
 
5.4%
K 8
 
5.4%
S 7
 
4.8%
n 7
 
4.8%
T 6
 
4.1%
O 5
 
3.4%
l 5
 
3.4%
Other values (28) 68
46.3%
Common
ValueCountFrequency (%)
452
73.7%
) 78
 
12.7%
( 78
 
12.7%
. 2
 
0.3%
- 1
 
0.2%
& 1
 
0.2%
2 1
 
0.2%
Han
ValueCountFrequency (%)
照 1
25.0%
娥 1
25.0%
曜 1
25.0%
美 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4769
86.2%
ASCII 760
 
13.7%
CJK 4
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
452
59.5%
) 78
 
10.3%
( 78
 
10.3%
e 14
 
1.8%
G 10
 
1.3%
o 9
 
1.2%
C 8
 
1.1%
K 8
 
1.1%
S 7
 
0.9%
n 7
 
0.9%
Other values (35) 89
 
11.7%
Hangul
ValueCountFrequency (%)
점 281
 
5.9%
인 211
 
4.4%
셀 206
 
4.3%
지 198
 
4.2%
덤 197
 
4.1%
대 164
 
3.4%
사 158
 
3.3%
리 145
 
3.0%
부 109
 
2.3%
산 101
 
2.1%
Other values (298) 2999
62.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
照 1
25.0%
娥 1
25.0%
曜 1
25.0%
美 1
25.0%

최종수정시점
Real number (ℝ)

Distinct251
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0187458 × 1013
Minimum2.0130806 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:37.518894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130806 × 1013
5-th percentile2.0140429 × 1013
Q12.0171218 × 1013
median2.0200302 × 1013
Q32.0200722 × 1013
95-th percentile2.0201222 × 1013
Maximum2.0210129 × 1013
Range7.9323 × 1010
Interquartile range (IQR)2.9504 × 1010

Descriptive statistics

Standard deviation1.9331897 × 1010
Coefficient of variation (CV)0.0009576192
Kurtosis0.66303121
Mean2.0187458 × 1013
Median Absolute Deviation (MAD)9.175 × 109
Skewness-1.2588841
Sum1.2859411 × 1016
Variance3.7372226 × 1020
MonotonicityNot monotonic
2024-04-17T00:17:37.662355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170517000000 43
 
6.8%
20170516000000 30
 
4.7%
20200519000000 30
 
4.7%
20200410000000 29
 
4.6%
20201022000000 23
 
3.6%
20201216000000 21
 
3.3%
20200302000000 18
 
2.8%
20210121000000 14
 
2.2%
20200319000000 14
 
2.2%
20200824000000 12
 
1.9%
Other values (241) 403
63.3%
ValueCountFrequency (%)
20130806000000 3
0.5%
20130821000000 1
 
0.2%
20131213000000 2
0.3%
20131219000000 1
 
0.2%
20131227000000 1
 
0.2%
20140103000000 1
 
0.2%
20140110000000 1
 
0.2%
20140219000000 1
 
0.2%
20140220000000 1
 
0.2%
20140221000000 1
 
0.2%
ValueCountFrequency (%)
20210129000000 1
 
0.2%
20210128000000 1
 
0.2%
20210122000000 3
 
0.5%
20210121000000 14
2.2%
20210118000000 1
 
0.2%
20210115000000 2
 
0.3%
20210113000000 1
 
0.2%
20210111000000 1
 
0.2%
20210107000000 1
 
0.2%
20210106000000 2
 
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
I
365 
U
272 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 365
57.3%
U 272
42.7%

Length

2024-04-17T00:17:37.808300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:37.905629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 365
57.3%
u 272
42.7%

데이터갱신일자
Date

Distinct173
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-17T00:17:38.025066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T00:17:38.161958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing637
Missing (%)100.0%
Memory size5.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct526
Distinct (%)84.4%
Missing14
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean388509.25
Minimum367397.01
Maximum407624.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:38.293836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367397.01
5-th percentile379607.44
Q1385116.83
median388900.48
Q3391811.29
95-th percentile398220.91
Maximum407624.82
Range40227.809
Interquartile range (IQR)6694.4615

Descriptive statistics

Standard deviation5672.595
Coefficient of variation (CV)0.014600926
Kurtosis0.73237202
Mean388509.25
Median Absolute Deviation (MAD)3238.2056
Skewness-0.13690381
Sum2.4204126 × 108
Variance32178334
MonotonicityNot monotonic
2024-04-17T00:17:38.447470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388957.42402057 8
 
1.3%
392565.556346578 7
 
1.1%
387579.291668791 6
 
0.9%
380901.229444213 4
 
0.6%
387546.277216593 3
 
0.5%
397084.237601 3
 
0.5%
392314.744635131 3
 
0.5%
381763.470663811 3
 
0.5%
392474.578116018 3
 
0.5%
389196.054357731 3
 
0.5%
Other values (516) 580
91.1%
(Missing) 14
 
2.2%
ValueCountFrequency (%)
367397.014357092 1
0.2%
367538.377345509 1
0.2%
370046.0 1
0.2%
370927.882539772 2
0.3%
371348.984954999 1
0.2%
372242.81094828 1
0.2%
373016.981172454 1
0.2%
373512.89135141 1
0.2%
377079.909195862 1
0.2%
378592.907593612 1
0.2%
ValueCountFrequency (%)
407624.823179674 1
0.2%
402395.207126 1
0.2%
401752.244540788 1
0.2%
401716.51035484 1
0.2%
401709.206084507 1
0.2%
401690.013042066 1
0.2%
401688.244989316 1
0.2%
401679.301263938 1
0.2%
401566.670767291 1
0.2%
401544.23446258 1
0.2%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct527
Distinct (%)84.6%
Missing14
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean187793.14
Minimum174544.24
Maximum206821.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-17T00:17:38.591795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174544.24
5-th percentile179044.23
Q1184235.97
median187519.04
Q3191098.8
95-th percentile196854.36
Maximum206821.49
Range32277.244
Interquartile range (IQR)6862.8211

Descriptive statistics

Standard deviation5749.6868
Coefficient of variation (CV)0.030617129
Kurtosis0.95121773
Mean187793.14
Median Absolute Deviation (MAD)3438.3703
Skewness0.54938868
Sum1.1699513 × 108
Variance33058898
MonotonicityNot monotonic
2024-04-17T00:17:38.708417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188908.124798577 8
 
1.3%
187136.980524393 7
 
1.1%
184263.875327669 6
 
0.9%
186445.430953537 4
 
0.6%
186358.666774258 3
 
0.5%
185319.292679159 3
 
0.5%
179773.626920336 3
 
0.5%
186406.750870936 3
 
0.5%
188948.965331069 3
 
0.5%
205965.90747 3
 
0.5%
Other values (517) 580
91.1%
(Missing) 14
 
2.2%
ValueCountFrequency (%)
174544.244652845 1
0.2%
174921.557665483 2
0.3%
174964.323684667 1
0.2%
175079.16718355 1
0.2%
175849.843042 1
0.2%
176595.034934652 1
0.2%
177138.351830749 1
0.2%
177362.961067897 1
0.2%
177378.090371603 1
0.2%
177420.077660308 1
0.2%
ValueCountFrequency (%)
206821.489013 1
 
0.2%
206475.252052201 1
 
0.2%
206378.281379 1
 
0.2%
206343.359052 1
 
0.2%
206319.0 1
 
0.2%
206096.536231 1
 
0.2%
205965.90747 3
0.5%
205360.48497 1
 
0.2%
205074.178507 2
0.3%
205039.277946 1
 
0.2%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
후원방문판매업
637 

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 637
100.0%

Length

2024-04-17T00:17:38.825394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:38.905984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
후원방문판매업 637
100.0%

자본금의규모
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
0
637 

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 (%)
0 637
100.0%

Length

2024-04-17T00:17:38.992939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:17:39.072077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 637
100.0%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing637
Missing (%)100.0%
Memory size5.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명자본금의규모Unnamed: 30
01후원방문판매업체08_26_05_P62600002013626000030100004420130730<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>515142304<NA><NA>부산광역시 부산진구 범천동 876번지 47호부산광역시 부산진구 중앙대로 583, 5층 (범천동)<NA>KGC판매good서면지사20191223000000U2019-12-25 02:40:00.0<NA>387452.36141184819.411624후원방문판매업0<NA>
12후원방문판매업체08_26_05_P62600002013626000030100002320130724<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>517012184<NA>48111부산광역시 해운대구 좌동 1479번지 3호 세종월드프라자 215호부산광역시 해운대구 해운대로 814, 215호 (좌동,세종월드프라자)<NA>건강생활 해운대지점20191223000000U2019-12-25 02:40:00.0<NA>398330.51653187771.511374후원방문판매업0<NA>
23후원방문판매업체08_26_05_P62600002018626000030100002520181211<NA>3폐업4폐업20200416<NA><NA><NA><NA><NA>48738부산광역시 동구 범일동 833번지 29호부산광역시 동구 범일로 110, 1층 (범일동)<NA>나르지오 워킹화 범일점20200420000000U2020-04-22 02:40:00.0<NA>387644.101122184230.002404후원방문판매업0<NA>
34후원방문판매업체08_26_05_P62600002018626000030100002320181127<NA>3폐업4폐업20190225<NA><NA><NA>517318017<NA>48094부산광역시 해운대구 우동 539번지 10호 해운대라뮤에뜨 상점-317호부산광역시 해운대구 해운대로 620, 해운대라뮤에뜨 상점-317호 (우동)<NA>해운대 건강생활20190225000000U2019-02-27 02:40:00.0<NA>396639.0187018.0후원방문판매업0<NA>
45후원방문판매업체08_26_05_P62600002018626000030100001320180727<NA>3폐업4폐업20190321<NA><NA><NA>517229891<NA>46055부산광역시 기장군 기장읍 교리 354번지 11호 제일학원부산광역시 기장군 기장읍 차성동로172번길 1, 제일학원 3층<NA>타파웨어 에이스대리점20190322000000U2019-03-24 02:40:00.0<NA>401752.244541197137.362697후원방문판매업0<NA>
56후원방문판매업체08_26_05_P62600002018626000030100000720180326<NA>3폐업4폐업20180405<NA><NA><NA>518054411<NA><NA>부산광역시 부산진구 부전동 259번지 13호 하성빌딩 103호부산광역시 부산진구 서면문화로 6-1, 하성빌딩 1호 (부전동)<NA>아마란스 화장품20180405000000I2018-08-31 23:59:59.0<NA>387466.498999186300.341084후원방문판매업0<NA>
67후원방문판매업체08_26_05_P62600002018626000030100000520180314<NA>3폐업4폐업20200416<NA><NA><NA>518183474<NA><NA>부산광역시 부산진구 부전동 57번지 2호부산광역시 부산진구 중앙대로 789 (부전동)<NA>나르지오워킹화 부전점20200420000000U2020-04-22 02:40:00.0<NA>387857.255616186769.052164후원방문판매업0<NA>
78후원방문판매업체08_26_05_P62600002018626000030100002020181012<NA>3폐업4폐업20191126<NA><NA><NA>517047770<NA>48111부산광역시 해운대구 좌동 1480번지 4호 스타빌딩 502호부산광역시 해운대구 양운로42번길 16, 스타빌딩 502호 (좌동)<NA>럭셔리 뷰티 동부산점20191126000000U2019-11-28 02:40:00.0<NA>398326.936896187631.556514후원방문판매업0<NA>
89후원방문판매업체08_26_05_P62600002013626000030100001720130724<NA>3폐업4폐업20180612<NA><NA><NA>513346630<NA>46525부산광역시 북구 화명동 2269번지 2호 샤롯데부산광역시 북구 금곡대로 303-12, 501호 (화명동,샤롯데)<NA>이롬라이프 화명중앙20180614000000I2018-08-31 23:59:59.0<NA>383180.449802194791.606062후원방문판매업0<NA>
910후원방문판매업체08_26_05_P62600002013626000030100001620130724<NA>3폐업4폐업20150610<NA><NA><NA>512086523<NA>604813부산광역시 사하구 괴정동 575번지 24호부산광역시 사하구 낙동대로 300 (괴정동)<NA>이롬 황성주생식 사하하단지사20150610000000I2018-08-31 23:59:59.0<NA>380876.852425179652.739905후원방문판매업0<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명자본금의규모Unnamed: 30
627628후원방문판매업체08_26_05_P62600002013626000030100016520130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>515187647<NA>607060부산광역시 동래구 온천동 425번지 24호 초산빌딩 6층부산광역시 동래구 금강로 54, 6층 (온천동,초산빌딩)<NA>유니베라 금강20170517000000I2018-08-31 23:59:59.0<NA>389056.180904192521.296003후원방문판매업0<NA>
628629후원방문판매업체08_26_05_P62600002013626000030100016420130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>515832973<NA>609310부산광역시 금정구 구서동 415번지 34호부산광역시 금정구 구서로 3-1, 3층 (구서동)<NA>유니베라 구서대리점20170517000000I2018-08-31 23:59:59.0<NA>390209.552776196132.10961후원방문판매업0<NA>
629630후원방문판매업체08_26_05_P62600002013626000030100016120130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>515814345<NA>609753부산광역시 금정구 부곡동 225번지 6호 경남한신아파트상가 11동 313호부산광역시 금정구 중앙대로1719번길 29, 11동 313호 (부곡동,경남한신아파트상가)<NA>유니베라(금정대리점)20170517000000I2018-08-31 23:59:59.0<NA>390200.572461195007.620139후원방문판매업0<NA>
630631후원방문판매업체08_26_05_P62600002013626000030100015820130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>515025944<NA>611072부산광역시 연제구 거제동 891번지 6호부산광역시 연제구 아시아드대로 99 (거제동)<NA>유니베라 사직대리점20170517000000I2018-08-31 23:59:59.0<NA>388134.616695190195.459276후원방문판매업0<NA>
631632후원방문판매업체08_26_05_P62600002013626000030100022420130807<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>616120부산광역시 북구 화명동 2269번지 3호 시티타워8층부산광역시 북구 금곡대로303번길 2, 8층 (화명동,시티타워8층)<NA>(주) 와이엠20170517000000I2018-08-31 23:59:59.0<NA>383217.25383194786.946259후원방문판매업0<NA>
632633후원방문판매업체08_26_05_P62600002013626000030100014620130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>512480676<NA>602819부산광역시 서구 서대신동2가 96번지 5층부산광역시 서구 구덕로 299, 5층 (서대신동2가)<NA>유니베라 서부산20170517000000I2018-08-31 23:59:59.0<NA>383844.485676180923.436394후원방문판매업0<NA>
633634후원방문판매업체08_26_05_P62600002013626000030100014520130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>513012313<NA>617080부산광역시 사상구 모라동 991번지 모라리버빌상가 A동 203호부산광역시 사상구 사상로 512, A동 203호 (모라동,모라리버빌상가)<NA>유니베라(신모라대리점)20170517000000I2018-08-31 23:59:59.0<NA>381114.783397189674.910419후원방문판매업0<NA>
634635후원방문판매업체08_26_05_P62600002013626000030100014120130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>513221555<NA>617010부산광역시 사상구 주례동 1162번지 172호 6층부산광역시 사상구 가야대로 272-1, 6층 (주례동)<NA>유니베라 주례대리점20170517000000I2018-08-31 23:59:59.0<NA>382403.878623185265.626701후원방문판매업0<NA>
635636후원방문판매업체08_26_05_P62600002013626000030100014020130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>513436582<NA>616110부산광역시 북구 만덕동 359번지 24호부산광역시 북구 만덕2로 29, 3층 (만덕동,영광빌딩)<NA>유니베라 (신만덕)20170517000000I2018-08-31 23:59:59.0<NA>385538.785383192075.301102후원방문판매업0<NA>
636637후원방문판매업체08_26_05_P62600002013626000030100014720130806<NA>1영업/정상BBBB영업<NA><NA><NA><NA>515834207<NA>609310부산광역시 금정구 구서동 177번지 13호부산광역시 금정구 중앙대로1930번길 3 (구서동)<NA>유니베라 남산대리점20170517000000I2018-08-31 23:59:59.0<NA>390289.556935197274.032405후원방문판매업0<NA>