Overview

Dataset statistics

Number of variables33
Number of observations9946
Missing cells128568
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 MiB
Average record size in memory286.0 B

Variable types

Numeric11
Categorical7
Text5
Unsupported9
DateTime1

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123012

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
상세영업상태코드 is highly imbalanced (54.4%)Imbalance
상세영업상태명 is highly imbalanced (54.4%)Imbalance
인허가취소일자 has 9946 (100.0%) missing valuesMissing
폐업일자 has 5196 (52.2%) missing valuesMissing
휴업시작일자 has 9937 (99.9%) missing valuesMissing
휴업종료일자 has 9937 (99.9%) missing valuesMissing
재개업일자 has 9946 (100.0%) missing valuesMissing
소재지전화 has 3669 (36.9%) missing valuesMissing
소재지면적 has 9946 (100.0%) missing valuesMissing
소재지우편번호 has 4560 (45.8%) missing valuesMissing
소재지전체주소 has 1200 (12.1%) missing valuesMissing
도로명전체주소 has 809 (8.1%) missing valuesMissing
도로명우편번호 has 2138 (21.5%) missing valuesMissing
업태구분명 has 9946 (100.0%) missing valuesMissing
좌표정보(x) has 804 (8.1%) missing valuesMissing
좌표정보(y) has 804 (8.1%) missing valuesMissing
수리대상 의료기기의 유형 has 9946 (100.0%) missing valuesMissing
다른 겸업 여부 has 9946 (100.0%) missing valuesMissing
총규모 has 9946 (100.0%) missing valuesMissing
영업규모 has 9946 (100.0%) missing valuesMissing
Unnamed: 32 has 9946 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -20.09485117)Skewed
번호 has unique valuesUnique
관리번호 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 16:45:50.200271
Analysis finished2024-04-16 16:45:51.926505
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9946
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4973.5
Minimum1
Maximum9946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:51.984530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile498.25
Q12487.25
median4973.5
Q37459.75
95-th percentile9448.75
Maximum9946
Range9945
Interquartile range (IQR)4972.5

Descriptive statistics

Standard deviation2871.3072
Coefficient of variation (CV)0.57732125
Kurtosis-1.2
Mean4973.5
Median Absolute Deviation (MAD)2486.5
Skewness0
Sum49466431
Variance8244405.2
MonotonicityStrictly increasing
2024-04-17T01:45:52.098220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6635 1
 
< 0.1%
6628 1
 
< 0.1%
6629 1
 
< 0.1%
6630 1
 
< 0.1%
6631 1
 
< 0.1%
6632 1
 
< 0.1%
6633 1
 
< 0.1%
6634 1
 
< 0.1%
6636 1
 
< 0.1%
Other values (9936) 9936
99.9%
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 (%)
9946 1
< 0.1%
9945 1
< 0.1%
9944 1
< 0.1%
9943 1
< 0.1%
9942 1
< 0.1%
9941 1
< 0.1%
9940 1
< 0.1%
9939 1
< 0.1%
9938 1
< 0.1%
9937 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
의료기기판매(임대)업
9946 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의료기기판매(임대)업
2nd row의료기기판매(임대)업
3rd row의료기기판매(임대)업
4th row의료기기판매(임대)업
5th row의료기기판매(임대)업

Common Values

ValueCountFrequency (%)
의료기기판매(임대)업 9946
100.0%

Length

2024-04-17T01:45:52.204237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:52.278084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 9946
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
01_02_03_P
9946 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_03_P
2nd row01_02_03_P
3rd row01_02_03_P
4th row01_02_03_P
5th row01_02_03_P

Common Values

ValueCountFrequency (%)
01_02_03_P 9946
100.0%

Length

2024-04-17T01:45:52.357644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:52.432508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 9946
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3324242.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:52.518781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3320000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation40100.865
Coefficient of variation (CV)0.012063157
Kurtosis-0.95905538
Mean3324242.9
Median Absolute Deviation (MAD)30000
Skewness0.10322238
Sum3.306292 × 1010
Variance1.6080793 × 109
MonotonicityNot monotonic
2024-04-17T01:45:52.632625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 1389
14.0%
3350000 1078
10.8%
3300000 1061
10.7%
3330000 915
9.2%
3370000 746
7.5%
3310000 732
7.4%
3270000 627
 
6.3%
3380000 571
 
5.7%
3390000 553
 
5.6%
3340000 537
 
5.4%
Other values (6) 1737
17.5%
ValueCountFrequency (%)
3250000 366
 
3.7%
3260000 262
 
2.6%
3270000 627
6.3%
3280000 146
 
1.5%
3290000 1389
14.0%
3300000 1061
10.7%
3310000 732
7.4%
3320000 515
 
5.2%
3330000 915
9.2%
3340000 537
 
5.4%
ValueCountFrequency (%)
3400000 263
 
2.6%
3390000 553
5.6%
3380000 571
5.7%
3370000 746
7.5%
3360000 185
 
1.9%
3350000 1078
10.8%
3340000 537
5.4%
3330000 915
9.2%
3320000 515
5.2%
3310000 732
7.4%

관리번호
Text

UNIQUE 

Distinct9946
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-04-17T01:45:52.818351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.999296
Min length18

Characters and Unicode

Total characters248643
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9946 ?
Unique (%)100.0%

Sample

1st rowPHMG120203250021047000009
2nd rowPHMG120193250021047000007
3rd rowPHMG120193250021047000008
4th rowPHMG120143250021047000025
5th rowPHMG120143250021047000026
ValueCountFrequency (%)
phmg120203250021047000009 1
 
< 0.1%
phmg120193350024047000056 1
 
< 0.1%
phmg120193350024047000042 1
 
< 0.1%
phmg120193350024047000043 1
 
< 0.1%
phmg120203350024047000006 1
 
< 0.1%
phmg120193350024047000055 1
 
< 0.1%
phmg120193350024047000060 1
 
< 0.1%
phmg120193350024047000061 1
 
< 0.1%
phmg120193350024047000057 1
 
< 0.1%
phmg120193350024047000058 1
 
< 0.1%
Other values (9936) 9936
99.9%
2024-04-17T01:45:53.128942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88012
35.4%
2 27918
 
11.2%
3 22337
 
9.0%
1 22128
 
8.9%
4 19752
 
7.9%
7 13430
 
5.4%
P 9946
 
4.0%
H 9946
 
4.0%
M 9946
 
4.0%
G 9946
 
4.0%
Other values (4) 15282
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 208859
84.0%
Uppercase Letter 39784
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88012
42.1%
2 27918
 
13.4%
3 22337
 
10.7%
1 22128
 
10.6%
4 19752
 
9.5%
7 13430
 
6.4%
5 5002
 
2.4%
9 4740
 
2.3%
8 2786
 
1.3%
6 2754
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 9946
25.0%
H 9946
25.0%
M 9946
25.0%
G 9946
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208859
84.0%
Latin 39784
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88012
42.1%
2 27918
 
13.4%
3 22337
 
10.7%
1 22128
 
10.6%
4 19752
 
9.5%
7 13430
 
6.4%
5 5002
 
2.4%
9 4740
 
2.3%
8 2786
 
1.3%
6 2754
 
1.3%
Latin
ValueCountFrequency (%)
P 9946
25.0%
H 9946
25.0%
M 9946
25.0%
G 9946
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 248643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88012
35.4%
2 27918
 
11.2%
3 22337
 
9.0%
1 22128
 
8.9%
4 19752
 
7.9%
7 13430
 
5.4%
P 9946
 
4.0%
H 9946
 
4.0%
M 9946
 
4.0%
G 9946
 
4.0%
Other values (4) 15282
 
6.1%

인허가일자
Real number (ℝ)

Distinct4243
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20119177
Minimum19660726
Maximum22190403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:53.249557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19660726
5-th percentile20010515
Q120081217
median20130926
Q320160817
95-th percentile20200324
Maximum22190403
Range2529677
Interquartile range (IQR)79599.75

Descriptive statistics

Standard deviation64184.525
Coefficient of variation (CV)0.0031902163
Kurtosis110.48144
Mean20119177
Median Absolute Deviation (MAD)39686
Skewness2.349688
Sum2.0010533 × 1011
Variance4.1196532 × 109
MonotonicityNot monotonic
2024-04-17T01:45:53.384942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141110 37
 
0.4%
20141114 36
 
0.4%
20141107 32
 
0.3%
20141113 29
 
0.3%
20141111 29
 
0.3%
20141031 28
 
0.3%
20141105 27
 
0.3%
20141106 26
 
0.3%
20141118 26
 
0.3%
20141121 25
 
0.3%
Other values (4233) 9651
97.0%
ValueCountFrequency (%)
19660726 1
< 0.1%
19780225 1
< 0.1%
19781021 1
< 0.1%
19790507 1
< 0.1%
19790704 1
< 0.1%
19800502 1
< 0.1%
19810110 1
< 0.1%
19810122 1
< 0.1%
19810323 1
< 0.1%
19810824 1
< 0.1%
ValueCountFrequency (%)
22190403 1
 
< 0.1%
20201230 1
 
< 0.1%
20201229 2
 
< 0.1%
20201228 2
 
< 0.1%
20201224 5
0.1%
20201223 2
 
< 0.1%
20201222 1
 
< 0.1%
20201218 1
 
< 0.1%
20201216 2
 
< 0.1%
20201215 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
1
5054 
3
4821 
4
 
62
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5054
50.8%
3 4821
48.5%
4 62
 
0.6%
2 9
 
0.1%

Length

2024-04-17T01:45:53.482691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:53.562009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5054
50.8%
3 4821
48.5%
4 62
 
0.6%
2 9
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
영업/정상
5054 
폐업
4821 
취소/말소/만료/정지/중지
 
62
휴업
 
9

Length

Max length14
Median length5
Mean length3.5992359
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5054
50.8%
폐업 4821
48.5%
취소/말소/만료/정지/중지 62
 
0.6%
휴업 9
 
0.1%

Length

2024-04-17T01:45:53.658710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:53.744368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5054
50.8%
폐업 4821
48.5%
취소/말소/만료/정지/중지 62
 
0.6%
휴업 9
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
13
5054 
3
4821 
24
 
61
2
 
9
25
 
1

Length

Max length2
Median length2
Mean length1.5143776
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 5054
50.8%
3 4821
48.5%
24 61
 
0.6%
2 9
 
0.1%
25 1
 
< 0.1%

Length

2024-04-17T01:45:53.855525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:53.942860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5054
50.8%
3 4821
48.5%
24 61
 
0.6%
2 9
 
0.1%
25 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
영업중
5054 
폐업
4821 
직권폐업
 
61
휴업
 
9
영업정지
 
1

Length

Max length4
Median length3
Mean length2.5206113
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5054
50.8%
폐업 4821
48.5%
직권폐업 61
 
0.6%
휴업 9
 
0.1%
영업정지 1
 
< 0.1%

Length

2024-04-17T01:45:54.040283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:54.133996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5054
50.8%
폐업 4821
48.5%
직권폐업 61
 
0.6%
휴업 9
 
0.1%
영업정지 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct2433
Distinct (%)51.2%
Missing5196
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean20137581
Minimum19890125
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:54.233037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890125
5-th percentile20050604
Q120110603
median20150402
Q320170620
95-th percentile20200103
Maximum20210129
Range320004
Interquartile range (IQR)60016.75

Descriptive statistics

Standard deviation47213.57
Coefficient of variation (CV)0.0023445502
Kurtosis2.7757745
Mean20137581
Median Absolute Deviation (MAD)30011
Skewness-1.3223302
Sum9.5653511 × 1010
Variance2.2291212 × 109
MonotonicityNot monotonic
2024-04-17T01:45:54.361135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161230 104
 
1.0%
20161229 99
 
1.0%
20161228 54
 
0.5%
20191018 33
 
0.3%
20191015 26
 
0.3%
20191011 18
 
0.2%
19990603 17
 
0.2%
20110726 16
 
0.2%
20160725 16
 
0.2%
20191022 12
 
0.1%
Other values (2423) 4355
43.8%
(Missing) 5196
52.2%
ValueCountFrequency (%)
19890125 1
< 0.1%
19901123 1
< 0.1%
19910709 1
< 0.1%
19920128 1
< 0.1%
19920417 1
< 0.1%
19920604 1
< 0.1%
19920608 2
< 0.1%
19920609 1
< 0.1%
19920610 1
< 0.1%
19920914 1
< 0.1%
ValueCountFrequency (%)
20210129 1
< 0.1%
20201231 2
< 0.1%
20201230 1
< 0.1%
20201229 1
< 0.1%
20201228 1
< 0.1%
20201224 2
< 0.1%
20201223 2
< 0.1%
20201221 1
< 0.1%
20201215 2
< 0.1%
20201210 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing9937
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20183011
Minimum20131115
Maximum20201130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:54.459065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131115
5-th percentile20150719
Q120180727
median20181224
Q320200120
95-th percentile20201124
Maximum20201130
Range70015
Interquartile range (IQR)19393

Descriptive statistics

Standard deviation21550.569
Coefficient of variation (CV)0.0010677578
Kurtosis4.8135962
Mean20183011
Median Absolute Deviation (MAD)9104
Skewness-1.9676262
Sum1.816471 × 108
Variance4.6442701 × 108
MonotonicityNot monotonic
2024-04-17T01:45:54.561287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20201130 1
 
< 0.1%
20181218 1
 
< 0.1%
20131115 1
 
< 0.1%
20181224 1
 
< 0.1%
20180126 1
 
< 0.1%
20180727 1
 
< 0.1%
20190328 1
 
< 0.1%
20201114 1
 
< 0.1%
20200120 1
 
< 0.1%
(Missing) 9937
99.9%
ValueCountFrequency (%)
20131115 1
< 0.1%
20180126 1
< 0.1%
20180727 1
< 0.1%
20181218 1
< 0.1%
20181224 1
< 0.1%
20190328 1
< 0.1%
20200120 1
< 0.1%
20201114 1
< 0.1%
20201130 1
< 0.1%
ValueCountFrequency (%)
20201130 1
< 0.1%
20201114 1
< 0.1%
20200120 1
< 0.1%
20190328 1
< 0.1%
20181224 1
< 0.1%
20181218 1
< 0.1%
20180727 1
< 0.1%
20180126 1
< 0.1%
20131115 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing9937
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20201667
Minimum20140317
Maximum20230125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:54.660654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140317
5-th percentile20160481
Q120200327
median20201224
Q320220114
95-th percentile20226123
Maximum20230125
Range89808
Interquartile range (IQR)19787

Descriptive statistics

Standard deviation26125.479
Coefficient of variation (CV)0.0012932338
Kurtosis4.0964077
Mean20201667
Median Absolute Deviation (MAD)10498
Skewness-1.7651164
Sum1.81815 × 108
Variance6.8254066 × 108
MonotonicityNot monotonic
2024-04-17T01:45:54.759120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20220114 1
 
< 0.1%
20201219 1
 
< 0.1%
20140317 1
 
< 0.1%
20201224 1
 
< 0.1%
20230125 1
 
< 0.1%
20190726 1
 
< 0.1%
20200327 1
 
< 0.1%
20210831 1
 
< 0.1%
20220119 1
 
< 0.1%
(Missing) 9937
99.9%
ValueCountFrequency (%)
20140317 1
< 0.1%
20190726 1
< 0.1%
20200327 1
< 0.1%
20201219 1
< 0.1%
20201224 1
< 0.1%
20210831 1
< 0.1%
20220114 1
< 0.1%
20220119 1
< 0.1%
20230125 1
< 0.1%
ValueCountFrequency (%)
20230125 1
< 0.1%
20220119 1
< 0.1%
20220114 1
< 0.1%
20210831 1
< 0.1%
20201224 1
< 0.1%
20201219 1
< 0.1%
20200327 1
< 0.1%
20190726 1
< 0.1%
20140317 1
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

소재지전화
Text

MISSING 

Distinct5719
Distinct (%)91.1%
Missing3669
Missing (%)36.9%
Memory size77.8 KiB
2024-04-17T01:45:54.984132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.704317
Min length2

Characters and Unicode

Total characters67191
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5247 ?
Unique (%)83.6%

Sample

1st row051-244-8281
2nd row865-4285
3rd row051-463-8280
4th row051-247-2145
5th row051-243-2050
ValueCountFrequency (%)
636-1814 5
 
0.1%
362-7575 5
 
0.1%
051-751-3484 4
 
0.1%
051-867-7371 4
 
0.1%
051-364-5959 4
 
0.1%
051-892-4061 4
 
0.1%
051-761-1284 4
 
0.1%
051 4
 
0.1%
051-314-6689 4
 
0.1%
051-544-7589 4
 
0.1%
Other values (5712) 6240
99.3%
2024-04-17T01:45:55.330778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10028
14.9%
5 9621
14.3%
0 8860
13.2%
1 8426
12.5%
2 5078
7.6%
7 4720
7.0%
8 4568
6.8%
3 4412
6.6%
6 4302
6.4%
4 3967
 
5.9%
Other values (7) 3209
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56805
84.5%
Dash Punctuation 10028
 
14.9%
Close Punctuation 325
 
0.5%
Math Symbol 14
 
< 0.1%
Other Punctuation 13
 
< 0.1%
Space Separator 5
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9621
16.9%
0 8860
15.6%
1 8426
14.8%
2 5078
8.9%
7 4720
8.3%
8 4568
8.0%
3 4412
7.8%
6 4302
7.6%
4 3967
7.0%
9 2851
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 5
38.5%
Dash Punctuation
ValueCountFrequency (%)
- 10028
100.0%
Close Punctuation
ValueCountFrequency (%)
) 325
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10028
14.9%
5 9621
14.3%
0 8860
13.2%
1 8426
12.5%
2 5078
7.6%
7 4720
7.0%
8 4568
6.8%
3 4412
6.6%
6 4302
6.4%
4 3967
 
5.9%
Other values (7) 3209
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67191
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10028
14.9%
5 9621
14.3%
0 8860
13.2%
1 8426
12.5%
2 5078
7.6%
7 4720
7.0%
8 4568
6.8%
3 4412
6.6%
6 4302
6.4%
4 3967
 
5.9%
Other values (7) 3209
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct947
Distinct (%)17.6%
Missing4560
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean608956.26
Minimum46918
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:55.440661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46918
5-th percentile601804
Q1607123
median609843
Q3613831
95-th percentile617070
Maximum619963
Range573045
Interquartile range (IQR)6708

Descriptive statistics

Standard deviation26960.702
Coefficient of variation (CV)0.044273626
Kurtosis415.595
Mean608956.26
Median Absolute Deviation (MAD)3831
Skewness-20.094851
Sum3.2798384 × 109
Variance7.2687946 × 108
MonotonicityNot monotonic
2024-04-17T01:45:55.545706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609340 76
 
0.8%
609311 41
 
0.4%
609811 40
 
0.4%
601838 36
 
0.4%
611071 35
 
0.4%
609801 35
 
0.4%
607101 31
 
0.3%
612021 31
 
0.3%
611085 31
 
0.3%
614853 30
 
0.3%
Other values (937) 5000
50.3%
(Missing) 4560
45.8%
ValueCountFrequency (%)
46918 1
< 0.1%
46997 1
< 0.1%
47546 1
< 0.1%
47785 1
< 0.1%
47788 1
< 0.1%
47829 1
< 0.1%
48055 1
< 0.1%
48091 1
< 0.1%
48092 1
< 0.1%
48094 1
< 0.1%
ValueCountFrequency (%)
619963 7
 
0.1%
619961 5
 
0.1%
619953 1
 
< 0.1%
619951 1
 
< 0.1%
619912 4
 
< 0.1%
619906 8
 
0.1%
619905 15
0.2%
619904 1
 
< 0.1%
619903 22
0.2%
619902 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct7523
Distinct (%)86.0%
Missing1200
Missing (%)12.1%
Memory size77.8 KiB
2024-04-17T01:45:55.864596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length24.967642
Min length2

Characters and Unicode

Total characters218367
Distinct characters508
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6754 ?
Unique (%)77.2%

Sample

1st row부산광역시 중구 부평동3가 79번지 12호
2nd row부산광역시 중구 중앙동6가 9번지 1호 남포지하도상가 가79호
3rd row부산광역시 중구 중앙동3가 14번지 3호
4th row부산광역시 중구 남포동5가 11번지 2호
5th row부산광역시 중구 부평동2가 30번지 5호
ValueCountFrequency (%)
부산광역시 8688
 
18.8%
부산진구 1217
 
2.6%
금정구 1063
 
2.3%
동래구 1059
 
2.3%
1호 1004
 
2.2%
해운대구 709
 
1.5%
연제구 702
 
1.5%
남구 559
 
1.2%
수영구 528
 
1.1%
2호 523
 
1.1%
Other values (5269) 30117
65.2%
2024-04-17T01:45:56.328712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37633
 
17.2%
부 10912
 
5.0%
산 10864
 
5.0%
동 10636
 
4.9%
1 10597
 
4.9%
광 9008
 
4.1%
구 8963
 
4.1%
시 8843
 
4.0%
역 8710
 
4.0%
지 7486
 
3.4%
Other values (498) 94715
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132251
60.6%
Decimal Number 45877
 
21.0%
Space Separator 37633
 
17.2%
Dash Punctuation 1483
 
0.7%
Open Punctuation 311
 
0.1%
Close Punctuation 310
 
0.1%
Uppercase Letter 305
 
0.1%
Other Punctuation 155
 
0.1%
Lowercase Letter 38
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 10912
 
8.3%
산 10864
 
8.2%
동 10636
 
8.0%
광 9008
 
6.8%
구 8963
 
6.8%
시 8843
 
6.7%
역 8710
 
6.6%
지 7486
 
5.7%
호 7320
 
5.5%
번 7086
 
5.4%
Other values (438) 42423
32.1%
Uppercase Letter
ValueCountFrequency (%)
B 55
18.0%
T 33
10.8%
A 32
10.5%
S 26
8.5%
K 25
 
8.2%
D 19
 
6.2%
O 17
 
5.6%
F 13
 
4.3%
G 11
 
3.6%
L 10
 
3.3%
Other values (13) 64
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
18.4%
s 5
13.2%
b 5
13.2%
h 4
10.5%
o 4
10.5%
t 2
 
5.3%
u 2
 
5.3%
g 2
 
5.3%
j 1
 
2.6%
k 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
1 10597
23.1%
2 7077
15.4%
3 5550
12.1%
4 4195
 
9.1%
5 3893
 
8.5%
0 3326
 
7.2%
6 3223
 
7.0%
7 2885
 
6.3%
8 2615
 
5.7%
9 2516
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 104
67.1%
/ 27
 
17.4%
@ 15
 
9.7%
& 5
 
3.2%
. 3
 
1.9%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
37633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1483
100.0%
Open Punctuation
ValueCountFrequency (%)
( 311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132251
60.6%
Common 85773
39.3%
Latin 343
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 10912
 
8.3%
산 10864
 
8.2%
동 10636
 
8.0%
광 9008
 
6.8%
구 8963
 
6.8%
시 8843
 
6.7%
역 8710
 
6.6%
지 7486
 
5.7%
호 7320
 
5.5%
번 7086
 
5.4%
Other values (438) 42423
32.1%
Latin
ValueCountFrequency (%)
B 55
16.0%
T 33
 
9.6%
A 32
 
9.3%
S 26
 
7.6%
K 25
 
7.3%
D 19
 
5.5%
O 17
 
5.0%
F 13
 
3.8%
G 11
 
3.2%
L 10
 
2.9%
Other values (28) 102
29.7%
Common
ValueCountFrequency (%)
37633
43.9%
1 10597
 
12.4%
2 7077
 
8.3%
3 5550
 
6.5%
4 4195
 
4.9%
5 3893
 
4.5%
0 3326
 
3.9%
6 3223
 
3.8%
7 2885
 
3.4%
8 2615
 
3.0%
Other values (12) 4779
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132251
60.6%
ASCII 86114
39.4%
Enclosed Alphanum 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37633
43.7%
1 10597
 
12.3%
2 7077
 
8.2%
3 5550
 
6.4%
4 4195
 
4.9%
5 3893
 
4.5%
0 3326
 
3.9%
6 3223
 
3.7%
7 2885
 
3.4%
8 2615
 
3.0%
Other values (48) 5120
 
5.9%
Hangul
ValueCountFrequency (%)
부 10912
 
8.3%
산 10864
 
8.2%
동 10636
 
8.0%
광 9008
 
6.8%
구 8963
 
6.8%
시 8843
 
6.7%
역 8710
 
6.6%
지 7486
 
5.7%
호 7320
 
5.5%
번 7086
 
5.4%
Other values (438) 42423
32.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct8143
Distinct (%)89.1%
Missing809
Missing (%)8.1%
Memory size77.8 KiB
2024-04-17T01:45:56.623989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length52
Mean length30.792054
Min length13

Characters and Unicode

Total characters281347
Distinct characters572
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7380 ?
Unique (%)80.8%

Sample

1st row부산광역시 중구 보수대로44번길 26-1, 2층 (부평동3가)
2nd row부산광역시 중구 중앙대로 지하 17, 남포지하도상가 가79호 (중앙동6가)
3rd row부산광역시 중구 중구로29번길 20-0 , 2층
4th row부산광역시 중구 대청로 139-1 (중앙동3가)
5th row부산광역시 중구 비프광장로 39 (남포동5가)
ValueCountFrequency (%)
부산광역시 9136
 
16.7%
부산진구 1286
 
2.4%
금정구 975
 
1.8%
2층 912
 
1.7%
1층 895
 
1.6%
해운대구 877
 
1.6%
동래구 876
 
1.6%
연제구 711
 
1.3%
남구 566
 
1.0%
동구 565
 
1.0%
Other values (6577) 37885
69.3%
2024-04-17T01:45:57.073270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45574
 
16.2%
동 12059
 
4.3%
부 11714
 
4.2%
산 11588
 
4.1%
1 10080
 
3.6%
광 9716
 
3.5%
시 9635
 
3.4%
구 9553
 
3.4%
역 9165
 
3.3%
로 9054
 
3.2%
Other values (562) 143209
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164904
58.6%
Space Separator 45574
 
16.2%
Decimal Number 43942
 
15.6%
Close Punctuation 8988
 
3.2%
Open Punctuation 8987
 
3.2%
Other Punctuation 7166
 
2.5%
Dash Punctuation 1219
 
0.4%
Uppercase Letter 471
 
0.2%
Lowercase Letter 63
 
< 0.1%
Math Symbol 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12059
 
7.3%
부 11714
 
7.1%
산 11588
 
7.0%
광 9716
 
5.9%
시 9635
 
5.8%
구 9553
 
5.8%
역 9165
 
5.6%
로 9054
 
5.5%
대 4839
 
2.9%
층 3752
 
2.3%
Other values (498) 73829
44.8%
Uppercase Letter
ValueCountFrequency (%)
B 108
22.9%
A 58
12.3%
C 42
 
8.9%
S 35
 
7.4%
E 29
 
6.2%
K 27
 
5.7%
T 26
 
5.5%
H 17
 
3.6%
P 17
 
3.6%
D 16
 
3.4%
Other values (14) 96
20.4%
Lowercase Letter
ValueCountFrequency (%)
e 20
31.7%
s 6
 
9.5%
b 5
 
7.9%
v 5
 
7.9%
c 4
 
6.3%
k 3
 
4.8%
l 3
 
4.8%
n 3
 
4.8%
o 3
 
4.8%
u 2
 
3.2%
Other values (6) 9
14.3%
Decimal Number
ValueCountFrequency (%)
1 10080
22.9%
2 7172
16.3%
3 5066
11.5%
0 4273
9.7%
4 3659
 
8.3%
5 3343
 
7.6%
6 2963
 
6.7%
7 2818
 
6.4%
9 2313
 
5.3%
8 2255
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 7111
99.2%
@ 20
 
0.3%
/ 16
 
0.2%
. 9
 
0.1%
& 5
 
0.1%
· 3
 
< 0.1%
! 1
 
< 0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
45574
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8988
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8987
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1219
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164904
58.6%
Common 115906
41.2%
Latin 537
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12059
 
7.3%
부 11714
 
7.1%
산 11588
 
7.0%
광 9716
 
5.9%
시 9635
 
5.8%
구 9553
 
5.8%
역 9165
 
5.6%
로 9054
 
5.5%
대 4839
 
2.9%
층 3752
 
2.3%
Other values (498) 73829
44.8%
Latin
ValueCountFrequency (%)
B 108
20.1%
A 58
 
10.8%
C 42
 
7.8%
S 35
 
6.5%
E 29
 
5.4%
K 27
 
5.0%
T 26
 
4.8%
e 20
 
3.7%
H 17
 
3.2%
P 17
 
3.2%
Other values (31) 158
29.4%
Common
ValueCountFrequency (%)
45574
39.3%
1 10080
 
8.7%
) 8988
 
7.8%
( 8987
 
7.8%
2 7172
 
6.2%
, 7111
 
6.1%
3 5066
 
4.4%
0 4273
 
3.7%
4 3659
 
3.2%
5 3343
 
2.9%
Other values (13) 11653
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164904
58.6%
ASCII 116437
41.4%
Number Forms 3
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45574
39.1%
1 10080
 
8.7%
) 8988
 
7.7%
( 8987
 
7.7%
2 7172
 
6.2%
, 7111
 
6.1%
3 5066
 
4.4%
0 4273
 
3.7%
4 3659
 
3.1%
5 3343
 
2.9%
Other values (52) 12184
 
10.5%
Hangul
ValueCountFrequency (%)
동 12059
 
7.3%
부 11714
 
7.1%
산 11588
 
7.0%
광 9716
 
5.9%
시 9635
 
5.8%
구 9553
 
5.8%
역 9165
 
5.6%
로 9054
 
5.5%
대 4839
 
2.9%
층 3752
 
2.3%
Other values (498) 73829
44.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
None
ValueCountFrequency (%)
· 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1953
Distinct (%)25.0%
Missing2138
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean118224.72
Minimum42761
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:57.448417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42761
5-th percentile46229
Q147210
median48006
Q348815
95-th percentile612833
Maximum619963
Range577202
Interquartile range (IQR)1605

Descriptive statistics

Standard deviation186415.69
Coefficient of variation (CV)1.5767912
Kurtosis3.1400468
Mean118224.72
Median Absolute Deviation (MAD)797
Skewness2.2667642
Sum9.230986 × 108
Variance3.475081 × 1010
MonotonicityNot monotonic
2024-04-17T01:45:57.578923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48060 51
 
0.5%
48059 39
 
0.4%
47542 35
 
0.4%
48092 34
 
0.3%
48445 33
 
0.3%
47257 33
 
0.3%
48095 31
 
0.3%
46988 29
 
0.3%
48104 28
 
0.3%
48735 27
 
0.3%
Other values (1943) 7468
75.1%
(Missing) 2138
 
21.5%
ValueCountFrequency (%)
42761 1
 
< 0.1%
46002 2
 
< 0.1%
46004 2
 
< 0.1%
46007 4
 
< 0.1%
46008 9
0.1%
46010 1
 
< 0.1%
46012 3
 
< 0.1%
46013 4
 
< 0.1%
46014 2
 
< 0.1%
46015 18
0.2%
ValueCountFrequency (%)
619963 2
 
< 0.1%
619961 3
 
< 0.1%
619953 1
 
< 0.1%
619912 2
 
< 0.1%
619906 3
 
< 0.1%
619905 8
0.1%
619904 1
 
< 0.1%
619903 11
0.1%
619901 1
 
< 0.1%
619745 1
 
< 0.1%

사업장명
Text

Distinct8259
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-04-17T01:45:57.809922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length7.295194
Min length1

Characters and Unicode

Total characters72558
Distinct characters793
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7368 ?
Unique (%)74.1%

Sample

1st row새한상사
2nd row아이온
3rd row핑키야
4th row세븐일레븐부산중앙점
5th row세븐일레븐부산피프광장점
ValueCountFrequency (%)
주식회사 322
 
2.5%
세븐일레븐 143
 
1.1%
gs25 124
 
1.0%
씨유 106
 
0.8%
메디칼 74
 
0.6%
의료기 45
 
0.4%
주)하이프라자 45
 
0.4%
신신의료기 44
 
0.3%
씨제이올리브영(주 41
 
0.3%
주)코리아세븐 37
 
0.3%
Other values (8349) 11690
92.3%
2024-04-17T01:45:58.139980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2725
 
3.8%
메 2416
 
3.3%
디 2387
 
3.3%
점 2056
 
2.8%
이 1868
 
2.6%
스 1805
 
2.5%
주 1708
 
2.4%
) 1543
 
2.1%
( 1523
 
2.1%
기 1443
 
2.0%
Other values (783) 53084
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61989
85.4%
Space Separator 2725
 
3.8%
Uppercase Letter 2638
 
3.6%
Close Punctuation 1543
 
2.1%
Open Punctuation 1523
 
2.1%
Decimal Number 929
 
1.3%
Lowercase Letter 826
 
1.1%
Other Symbol 201
 
0.3%
Other Punctuation 155
 
0.2%
Dash Punctuation 24
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 2416
 
3.9%
디 2387
 
3.9%
점 2056
 
3.3%
이 1868
 
3.0%
스 1805
 
2.9%
주 1708
 
2.8%
기 1443
 
2.3%
칼 1379
 
2.2%
의 1091
 
1.8%
료 1049
 
1.7%
Other values (707) 44787
72.2%
Uppercase Letter
ValueCountFrequency (%)
S 513
19.4%
G 363
13.8%
C 292
11.1%
M 204
 
7.7%
U 182
 
6.9%
B 112
 
4.2%
H 107
 
4.1%
D 104
 
3.9%
K 94
 
3.6%
E 89
 
3.4%
Other values (16) 578
21.9%
Lowercase Letter
ValueCountFrequency (%)
e 123
14.9%
a 81
9.8%
i 76
 
9.2%
n 69
 
8.4%
o 63
 
7.6%
d 51
 
6.2%
t 48
 
5.8%
c 41
 
5.0%
r 39
 
4.7%
m 38
 
4.6%
Other values (14) 197
23.8%
Decimal Number
ValueCountFrequency (%)
2 384
41.3%
5 373
40.2%
1 52
 
5.6%
3 50
 
5.4%
0 30
 
3.2%
4 18
 
1.9%
6 11
 
1.2%
8 4
 
0.4%
7 4
 
0.4%
9 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 81
52.3%
& 51
32.9%
, 9
 
5.8%
/ 7
 
4.5%
· 3
 
1.9%
? 2
 
1.3%
' 1
 
0.6%
# 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2725
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1543
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1523
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62184
85.7%
Common 6904
 
9.5%
Latin 3464
 
4.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 2416
 
3.9%
디 2387
 
3.8%
점 2056
 
3.3%
이 1868
 
3.0%
스 1805
 
2.9%
주 1708
 
2.7%
기 1443
 
2.3%
칼 1379
 
2.2%
의 1091
 
1.8%
료 1049
 
1.7%
Other values (703) 44982
72.3%
Latin
ValueCountFrequency (%)
S 513
 
14.8%
G 363
 
10.5%
C 292
 
8.4%
M 204
 
5.9%
U 182
 
5.3%
e 123
 
3.6%
B 112
 
3.2%
H 107
 
3.1%
D 104
 
3.0%
K 94
 
2.7%
Other values (40) 1370
39.5%
Common
ValueCountFrequency (%)
2725
39.5%
) 1543
22.3%
( 1523
22.1%
2 384
 
5.6%
5 373
 
5.4%
. 81
 
1.2%
1 52
 
0.8%
& 51
 
0.7%
3 50
 
0.7%
0 30
 
0.4%
Other values (15) 92
 
1.3%
Han
ValueCountFrequency (%)
新 2
33.3%
昊 1
16.7%
大 1
16.7%
碩 1
16.7%
百 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61983
85.4%
ASCII 10364
 
14.3%
None 204
 
0.3%
CJK 6
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2725
26.3%
) 1543
14.9%
( 1523
14.7%
S 513
 
4.9%
2 384
 
3.7%
5 373
 
3.6%
G 363
 
3.5%
C 292
 
2.8%
M 204
 
2.0%
U 182
 
1.8%
Other values (63) 2262
21.8%
Hangul
ValueCountFrequency (%)
메 2416
 
3.9%
디 2387
 
3.9%
점 2056
 
3.3%
이 1868
 
3.0%
스 1805
 
2.9%
주 1708
 
2.8%
기 1443
 
2.3%
칼 1379
 
2.2%
의 1091
 
1.8%
료 1049
 
1.7%
Other values (702) 44781
72.2%
None
ValueCountFrequency (%)
㈜ 201
98.5%
· 3
 
1.5%
CJK
ValueCountFrequency (%)
新 2
33.3%
昊 1
16.7%
大 1
16.7%
碩 1
16.7%
百 1
16.7%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9772
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153345 × 1013
Minimum2.0081008 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:58.267221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081008 × 1013
5-th percentile2.0090213 × 1013
Q12.0130207 × 1013
median2.0160325 × 1013
Q32.0181121 × 1013
95-th percentile2.0200731 × 1013
Maximum2.0201231 × 1013
Range1.2022298 × 1011
Interquartile range (IQR)5.0913967 × 1010

Descriptive statistics

Standard deviation3.5307403 × 1010
Coefficient of variation (CV)0.0017519376
Kurtosis-0.9211475
Mean2.0153345 × 1013
Median Absolute Deviation (MAD)2.9792977 × 1010
Skewness-0.39469573
Sum2.0044517 × 1017
Variance1.2466127 × 1021
MonotonicityNot monotonic
2024-04-17T01:45:58.403187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183101 30
 
0.3%
20081201183056 25
 
0.3%
20081201183059 22
 
0.2%
20081201183058 19
 
0.2%
20081201183102 14
 
0.1%
20081201183100 9
 
0.1%
20081215160952 8
 
0.1%
20081215160946 8
 
0.1%
20081215160951 8
 
0.1%
20081201183055 8
 
0.1%
Other values (9762) 9795
98.5%
ValueCountFrequency (%)
20081008173244 1
< 0.1%
20081027175306 1
< 0.1%
20081107180726 1
< 0.1%
20081114101753 1
< 0.1%
20081117135412 1
< 0.1%
20081117145505 1
< 0.1%
20081117151446 1
< 0.1%
20081117153625 1
< 0.1%
20081117154840 1
< 0.1%
20081117155040 1
< 0.1%
ValueCountFrequency (%)
20201231154852 1
< 0.1%
20201231142014 1
< 0.1%
20201231135843 1
< 0.1%
20201230164714 1
< 0.1%
20201230133233 1
< 0.1%
20201229175811 1
< 0.1%
20201229163849 1
< 0.1%
20201229151146 1
< 0.1%
20201229105223 1
< 0.1%
20201229093951 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
I
8318 
U
1628 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8318
83.6%
U 1628
 
16.4%

Length

2024-04-17T01:45:58.517138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:58.589102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8318
83.6%
u 1628
 
16.4%

데이터갱신일자
Date

Distinct949
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-17T01:45:58.671735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:45:58.788021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct5908
Distinct (%)64.6%
Missing804
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean388239.47
Minimum210912.3
Maximum407504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:58.918359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210912.3
5-th percentile379930.1
Q1385208.26
median388552.65
Q3391197.9
95-th percentile397538.28
Maximum407504
Range196591.7
Interquartile range (IQR)5989.6445

Descriptive statistics

Standard deviation5445.3529
Coefficient of variation (CV)0.014025758
Kurtosis123.80826
Mean388239.47
Median Absolute Deviation (MAD)2963.6738
Skewness-3.8818368
Sum3.5492852 × 109
Variance29651868
MonotonicityNot monotonic
2024-04-17T01:45:59.052090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380482.767624189 35
 
0.4%
395615.201853958 29
 
0.3%
388957.42402057 28
 
0.3%
391411.212179843 22
 
0.2%
387271.299492377 21
 
0.2%
396180.621244719 21
 
0.2%
387225.613588405 21
 
0.2%
387539.767677801 20
 
0.2%
385590.814676765 20
 
0.2%
385585.321891141 20
 
0.2%
Other values (5898) 8905
89.5%
(Missing) 804
 
8.1%
ValueCountFrequency (%)
210912.298397326 1
< 0.1%
336604.0 1
< 0.1%
364927.696730227 1
< 0.1%
365435.915352944 1
< 0.1%
366982.00333594 1
< 0.1%
367076.803601292 1
< 0.1%
367160.430236219 1
< 0.1%
367897.480797822 1
< 0.1%
367948.46831947 1
< 0.1%
367977.485723644 1
< 0.1%
ValueCountFrequency (%)
407504.0 1
< 0.1%
407036.0 1
< 0.1%
404651.27255533 1
< 0.1%
404368.189766908 1
< 0.1%
404248.383702356 1
< 0.1%
404092.863391 1
< 0.1%
403987.053318853 1
< 0.1%
403982.021007721 1
< 0.1%
403876.817171688 1
< 0.1%
403779.830056273 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct5910
Distinct (%)64.6%
Missing804
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean187734.92
Minimum169703.39
Maximum424655.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-04-17T01:45:59.173347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile179369.3
Q1184109.21
median187411.83
Q3191144.53
95-th percentile197424.16
Maximum424655.49
Range254952.09
Interquartile range (IQR)7035.3197

Descriptive statistics

Standard deviation6090.4718
Coefficient of variation (CV)0.032441869
Kurtosis251.81204
Mean187734.92
Median Absolute Deviation (MAD)3535.7932
Skewness6.8371464
Sum1.7162726 × 109
Variance37093846
MonotonicityNot monotonic
2024-04-17T01:45:59.285306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185582.274947583 35
 
0.4%
186406.750870936 29
 
0.3%
188908.124798577 28
 
0.3%
184052.409245407 22
 
0.2%
186408.726533861 21
 
0.2%
186099.137533193 21
 
0.2%
186522.35047527 21
 
0.2%
179553.867031936 20
 
0.2%
181149.765235809 20
 
0.2%
184402.96650913 20
 
0.2%
Other values (5900) 8905
89.5%
(Missing) 804
 
8.1%
ValueCountFrequency (%)
169703.393912171 1
< 0.1%
170813.584718477 1
< 0.1%
171677.306052053 1
< 0.1%
173751.794345377 1
< 0.1%
173895.655729558 1
< 0.1%
173942.787360397 1
< 0.1%
173967.938083685 1
< 0.1%
174087.295724335 1
< 0.1%
174148.956142084 2
< 0.1%
174209.665999624 2
< 0.1%
ValueCountFrequency (%)
424655.485528575 1
< 0.1%
258483.0 1
< 0.1%
211459.001777975 1
< 0.1%
208447.093077814 1
< 0.1%
207372.0 1
< 0.1%
206576.725149 1
< 0.1%
206426.679067 1
< 0.1%
206423.253753 1
< 0.1%
206331.394785486 1
< 0.1%
206320.100629 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9946
Missing (%)100.0%
Memory size87.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
01의료기기판매(임대)업01_02_03_P3250000PHMG12020325002104700000920200316<NA>2휴업2휴업<NA>2020113020220114<NA>051-244-8281<NA><NA>부산광역시 중구 부평동3가 79번지 12호부산광역시 중구 보수대로44번길 26-1, 2층 (부평동3가)48975새한상사20201219185919U2020-12-22 02:40:00.0<NA>384477.789433180066.613604<NA><NA><NA><NA><NA>
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23의료기기판매(임대)업01_02_03_P3250000PHMG12019325002104700000820190704<NA>3폐업3폐업20190705<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중구로29번길 20-0 , 2층48978핑키야20190705163241I2019-07-07 02:21:30.0<NA>384733.730546179820.207186<NA><NA><NA><NA><NA>
34의료기기판매(임대)업01_02_03_P3250000PHMG12014325002104700002520141030<NA>3폐업3폐업20171030<NA><NA><NA>051-463-8280<NA>600013부산광역시 중구 중앙동3가 14번지 3호부산광역시 중구 대청로 139-1 (중앙동3가)48931세븐일레븐부산중앙점20171030162239I2018-08-31 23:59:59.0<NA>385502.471013180114.311813<NA><NA><NA><NA><NA>
45의료기기판매(임대)업01_02_03_P3250000PHMG12014325002104700002620141030<NA>3폐업3폐업20181220<NA><NA><NA>051-247-2145<NA>600045부산광역시 중구 남포동5가 11번지 2호부산광역시 중구 비프광장로 39 (남포동5가)48953세븐일레븐부산피프광장점20181220171825U2018-12-22 02:40:00.0<NA>384969.56187179582.538867<NA><NA><NA><NA><NA>
56의료기기판매(임대)업01_02_03_P3250000PHMG12014325002104700002720141030<NA>3폐업3폐업20191017<NA><NA><NA>051-243-2050<NA>600807부산광역시 중구 부평동2가 30번지 5호부산광역시 중구 부평2길 3 (부평동2가)48979세븐일레븐부산부평제일점20191018092704U2019-10-20 02:40:00.0<NA>384689.714713179711.536737<NA><NA><NA><NA><NA>
67의료기기판매(임대)업01_02_03_P3250000PHMG12014325002104700002820141030<NA>3폐업3폐업20191017<NA><NA><NA>051-231-4331<NA>600092부산광역시 중구 대청동2가 22번지 4호부산광역시 중구 대청로 90-1 (대청동2가)48947세븐일레븐부산대청점20191018092626U2019-10-20 02:40:00.0<NA>385002.672042180069.624291<NA><NA><NA><NA><NA>
78의료기기판매(임대)업01_02_03_P3250000PHMG12014325002104700002920141030<NA>3폐업3폐업20191017<NA><NA><NA>051-442-2548<NA>600816부산광역시 중구 중앙동4가 78번지 2호부산광역시 중구 충장대로9번길 55 (중앙동4가)48936세븐일레븐중앙센터점20191018092640U2019-10-20 02:40:00.0<NA>385793.29931180910.386636<NA><NA><NA><NA><NA>
89의료기기판매(임대)업01_02_03_P3250000PHMG12014325002104700003020141030<NA>3폐업3폐업20191017<NA><NA><NA>051-465-4289<NA>600101부산광역시 중구 대창동1가 23번지 13호부산광역시 중구 중앙대로 129 (대창동1가)48924세븐일레븐부산대창점20191018092652U2019-10-20 02:40:00.0<NA>385629.342278180803.857906<NA><NA><NA><NA><NA>
910의료기기판매(임대)업01_02_03_P3250000PHMG12014325002104700003120141031<NA>3폐업3폐업20161031<NA><NA><NA>051-468-4803<NA>600025부산광역시 중구 동광동5가 16번지 247호부산광역시 중구 중구로 128 (동광동5가)48925선일의료기20161031143147I2018-08-31 23:59:59.0<NA>385311.155431180584.077235<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
99369937의료기기판매(임대)업01_02_03_P3330000PHMG12020333002404700008220201204<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1475-1 해운대두산위브센티움부산광역시 해운대구 양운로 55, 219호 (좌동, 해운대두산위브센티움)48104비와이메디칼20201204155624I2020-12-06 00:23:07.0<NA>398199.729679187612.117272<NA><NA><NA><NA><NA>
99379938의료기기판매(임대)업01_02_03_P3330000PHMG12020333002404700008020201125<NA>1영업/정상13영업중<NA><NA><NA><NA>051-902-9875<NA><NA>부산광역시 해운대구 좌동 1288 대동타운부산광역시 해운대구 대천로103번길 29, 301호 (좌동, 대동타운)48078약이원20201126155819I2020-11-28 00:23:08.0<NA>397869.026216188558.251043<NA><NA><NA><NA><NA>
99389939의료기기판매(임대)업01_02_03_P3330000PHMG12020333002404700008120201125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1520 롯데갤러리움센텀부산광역시 해운대구 센텀1로 9, 롯데갤러리움센텀 2층 220호 (우동)48060코그랩(CoGraph)20201207161639U2020-12-09 02:40:00.0<NA>394104.809135187518.549462<NA><NA><NA><NA><NA>
99399940의료기기판매(임대)업01_02_03_P3330000PHMG12020333002404700009020180525<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 403-1 매일유업부산광역시 해운대구 반송로877번길 83, 1층 (반송동)48000디오메디케어20201230133233I2021-01-01 00:23:05.0<NA>395768.168045194827.357883<NA><NA><NA><NA><NA>
99409941의료기기판매(임대)업01_02_03_P3330000PHMG12020333002404700007920040824<NA>1영업/정상13영업중<NA><NA><NA><NA>051-752-9733<NA><NA>부산광역시 해운대구 좌동 1480-2 에이원웨이부산광역시 해운대구 양운로42번길 18, 에이원웨이 803호 (좌동)48111(주)신승하이텍20201125101511I2020-11-27 00:23:08.0<NA>398311.713982187657.176794<NA><NA><NA><NA><NA>
99419942의료기기판매(임대)업01_02_03_P3330000PHMG12020333002404700008420201208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1461-4 대하프라자부산광역시 해운대구 양운로 98, 대하프라자 305호 (좌동)48106포낙보청기 해운대센터20201208144846I2020-12-10 00:23:07.0<NA>398063.402085187993.710646<NA><NA><NA><NA><NA>
99429943의료기기판매(임대)업01_02_03_P3330000PHMG12013333002404700000220130116<NA>4취소/말소/만료/정지/중지24직권폐업20151125<NA><NA><NA><NA><NA>612726부산광역시 해운대구 760번지 3호 오션타워 701호부산광역시 해운대구 해운대해변로 203 (우동, 오션타워701호)48093주식회사 서우20151208091352I2018-08-31 23:59:59.0<NA>396180.621245186522.350475<NA><NA><NA><NA><NA>
99439944의료기기판매(임대)업01_02_03_P3330000PHMG12015333002404700005920150804<NA>4취소/말소/만료/정지/중지24직권폐업20151116<NA><NA><NA>782-3489<NA><NA><NA>부산광역시 해운대구 재반로 79, 4층 (재송동)48056DH유통20151117142020I2018-08-31 23:59:59.0<NA>393617.389676189751.050492<NA><NA><NA><NA><NA>
99449945의료기기판매(임대)업01_02_03_P3330000PHMG12003333002404700000620030917<NA>4취소/말소/만료/정지/중지24직권폐업20111118<NA><NA><NA><NA><NA>612725부산광역시 해운대구 우1동 1434 선프라자 312호<NA><NA>유테크ICM메디칼20120430091933I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>
99459946의료기기판매(임대)업01_02_03_P3330000PHMG12005333002404700000120050216<NA>4취소/말소/만료/정지/중지24직권폐업20111001<NA><NA><NA>051-747-3422<NA>612824부산광역시 해운대구 우1동 1435 오렌지프라자 319호<NA><NA>센픽스20110926140025I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA>