Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells129320
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory294.0 B

Variable types

Numeric11
Categorical7
Text5
Unsupported9
DateTime1

Dataset

Description2021-05-01
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 (54.5%)Imbalance
상세영업상태명 is highly imbalanced (54.5%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 5226 (52.3%) missing valuesMissing
휴업시작일자 has 9992 (99.9%) missing valuesMissing
휴업종료일자 has 9992 (99.9%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 3740 (37.4%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 4681 (46.8%) missing valuesMissing
소재지전체주소 has 1181 (11.8%) missing valuesMissing
도로명전체주소 has 799 (8.0%) missing valuesMissing
도로명우편번호 has 2113 (21.1%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(x) has 798 (8.0%) missing valuesMissing
좌표정보(y) has 798 (8.0%) missing valuesMissing
수리대상 의료기기의 유형 has 10000 (100.0%) missing valuesMissing
다른 겸업 여부 has 10000 (100.0%) missing valuesMissing
총규모 has 10000 (100.0%) missing valuesMissing
영업규모 has 10000 (100.0%) missing valuesMissing
Unnamed: 32 has 10000 (100.0%) missing valuesMissing
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 16:45:12.026058
Analysis finished2024-04-16 16:45:13.670730
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5054.1407
Minimum1
Maximum10105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:13.729481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile504.95
Q12525.75
median5059.5
Q37582.25
95-th percentile9600.05
Maximum10105
Range10104
Interquartile range (IQR)5056.5

Descriptive statistics

Standard deviation2918.1824
Coefficient of variation (CV)0.57738449
Kurtosis-1.2005952
Mean5054.1407
Median Absolute Deviation (MAD)2528.5
Skewness-0.0012977046
Sum50541407
Variance8515788.8
MonotonicityNot monotonic
2024-04-17T01:45:13.845039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1327 1
 
< 0.1%
3920 1
 
< 0.1%
3283 1
 
< 0.1%
4336 1
 
< 0.1%
8027 1
 
< 0.1%
9185 1
 
< 0.1%
4085 1
 
< 0.1%
9448 1
 
< 0.1%
9973 1
 
< 0.1%
1761 1
 
< 0.1%
Other values (9990) 9990
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 (%)
10105 1
< 0.1%
10104 1
< 0.1%
10103 1
< 0.1%
10102 1
< 0.1%
10101 1
< 0.1%
10100 1
< 0.1%
10099 1
< 0.1%
10098 1
< 0.1%
10097 1
< 0.1%
10096 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의료기기판매(임대)업
10000 

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 10000
100.0%

Length

2024-04-17T01:45:13.951978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:14.026228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
01_02_03_P
10000 

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 10000
100.0%

Length

2024-04-17T01:45:14.101526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:14.170683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3324212
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:14.242745image/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 deviation40098.377
Coefficient of variation (CV)0.012062521
Kurtosis-0.95735184
Mean3324212
Median Absolute Deviation (MAD)30000
Skewness0.10599084
Sum3.324212 × 1010
Variance1.6078798 × 109
MonotonicityNot monotonic
2024-04-17T01:45:14.362335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 1404
14.0%
3350000 1070
10.7%
3300000 1068
10.7%
3330000 922
9.2%
3370000 744
7.4%
3310000 737
7.4%
3270000 626
 
6.3%
3380000 573
 
5.7%
3390000 551
 
5.5%
3340000 542
 
5.4%
Other values (6) 1763
17.6%
ValueCountFrequency (%)
3250000 368
 
3.7%
3260000 264
 
2.6%
3270000 626
6.3%
3280000 148
 
1.5%
3290000 1404
14.0%
3300000 1068
10.7%
3310000 737
7.4%
3320000 515
 
5.1%
3330000 922
9.2%
3340000 542
 
5.4%
ValueCountFrequency (%)
3400000 269
 
2.7%
3390000 551
5.5%
3380000 573
5.7%
3370000 744
7.4%
3360000 199
 
2.0%
3350000 1070
10.7%
3340000 542
5.4%
3330000 922
9.2%
3320000 515
5.1%
3310000 737
7.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T01:45:14.546821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.9993
Min length18

Characters and Unicode

Total characters249993
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowPHMG120053300024047000028
2nd rowPHMG120203280023047000009
3rd rowPHMG120143390023047000051
4th rowPHMG120203330024047000023
5th rowPHMG120203340025047000049
ValueCountFrequency (%)
phmg120053300024047000028 1
 
< 0.1%
phmg120143330024047000055 1
 
< 0.1%
phmg120093330024047000009 1
 
< 0.1%
phmg120173350024047000015 1
 
< 0.1%
phmg120103290024047000024 1
 
< 0.1%
phmg120203310024047000030 1
 
< 0.1%
phmg120143380023047000037 1
 
< 0.1%
phmg120113330024047000015 1
 
< 0.1%
phmg120073310024047000004 1
 
< 0.1%
phmg120033310024047000004 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-17T01:45:15.036495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88497
35.4%
2 28230
 
11.3%
3 22426
 
9.0%
1 22313
 
8.9%
4 19831
 
7.9%
7 13469
 
5.4%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 15227
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 209993
84.0%
Uppercase Letter 40000
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88497
42.1%
2 28230
 
13.4%
3 22426
 
10.7%
1 22313
 
10.6%
4 19831
 
9.4%
7 13469
 
6.4%
5 4983
 
2.4%
9 4721
 
2.2%
8 2768
 
1.3%
6 2755
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209993
84.0%
Latin 40000
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88497
42.1%
2 28230
 
13.4%
3 22426
 
10.7%
1 22313
 
10.6%
4 19831
 
9.4%
7 13469
 
6.4%
5 4983
 
2.4%
9 4721
 
2.2%
8 2768
 
1.3%
6 2755
 
1.3%
Latin
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88497
35.4%
2 28230
 
11.3%
3 22426
 
9.0%
1 22313
 
8.9%
4 19831
 
7.9%
7 13469
 
5.4%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 15227
 
6.1%

인허가일자
Real number (ℝ)

Distinct4284
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120619
Minimum19660726
Maximum22190403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:15.159075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19660726
5-th percentile20010613
Q120090118
median20131121
Q320161024
95-th percentile20200608
Maximum22190403
Range2529677
Interquartile range (IQR)70906

Descriptive statistics

Standard deviation64726.788
Coefficient of variation (CV)0.0032169382
Kurtosis105.96992
Mean20120619
Median Absolute Deviation (MAD)39608.5
Skewness2.2622482
Sum2.0120619 × 1011
Variance4.189557 × 109
MonotonicityNot monotonic
2024-04-17T01:45:15.282859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141114 36
 
0.4%
20141110 36
 
0.4%
20141107 31
 
0.3%
20141111 29
 
0.3%
20141031 28
 
0.3%
20141113 27
 
0.3%
20141106 26
 
0.3%
20141105 26
 
0.3%
20141121 25
 
0.2%
20141118 25
 
0.2%
Other values (4274) 9711
97.1%
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%
20210330 3
< 0.1%
20210329 2
< 0.1%
20210327 1
 
< 0.1%
20210325 4
< 0.1%
20210324 2
< 0.1%
20210323 3
< 0.1%
20210322 4
< 0.1%
20210319 3
< 0.1%
20210318 4
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5086 
3
4844 
4
 
62
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5086
50.9%
3 4844
48.4%
4 62
 
0.6%
2 8
 
0.1%

Length

2024-04-17T01:45:15.397607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:15.486794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5086
50.9%
3 4844
48.4%
4 62
 
0.6%
2 8
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5086 
폐업
4844 
취소/말소/만료/정지/중지
 
62
휴업
 
8

Length

Max length14
Median length5
Mean length3.6002
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5086
50.9%
폐업 4844
48.4%
취소/말소/만료/정지/중지 62
 
0.6%
휴업 8
 
0.1%

Length

2024-04-17T01:45:15.611753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:15.719849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5086
50.9%
폐업 4844
48.4%
취소/말소/만료/정지/중지 62
 
0.6%
휴업 8
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
13
5086 
3
4844 
24
 
61
2
 
8
25
 
1

Length

Max length2
Median length2
Mean length1.5148
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row13
2nd row13
3rd row3
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 5086
50.9%
3 4844
48.4%
24 61
 
0.6%
2 8
 
0.1%
25 1
 
< 0.1%

Length

2024-04-17T01:45:15.827020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:15.914210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5086
50.9%
3 4844
48.4%
24 61
 
0.6%
2 8
 
0.1%
25 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
5086 
폐업
4844 
직권폐업
 
61
휴업
 
8
영업정지
 
1

Length

Max length4
Median length3
Mean length2.521
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5086
50.9%
폐업 4844
48.4%
직권폐업 61
 
0.6%
휴업 8
 
0.1%
영업정지 1
 
< 0.1%

Length

2024-04-17T01:45:16.015234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:16.105280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5086
50.9%
폐업 4844
48.4%
직권폐업 61
 
0.6%
휴업 8
 
0.1%
영업정지 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct2459
Distinct (%)51.5%
Missing5226
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean20138763
Minimum19890125
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:16.208919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890125
5-th percentile20050709
Q120110629
median20150519
Q320170830
95-th percentile20200416
Maximum20210331
Range320206
Interquartile range (IQR)60200.75

Descriptive statistics

Standard deviation47676.359
Coefficient of variation (CV)0.0023673926
Kurtosis2.6805883
Mean20138763
Median Absolute Deviation (MAD)30093
Skewness-1.2802236
Sum9.6142454 × 1010
Variance2.2730352 × 109
MonotonicityNot monotonic
2024-04-17T01:45:16.328632image/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 31
 
0.3%
20191015 25
 
0.2%
20191011 18
 
0.2%
19990603 16
 
0.2%
20160725 16
 
0.2%
20110726 16
 
0.2%
20191028 12
 
0.1%
Other values (2449) 4383
43.8%
(Missing) 5226
52.3%
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 (%)
20210331 1
 
< 0.1%
20210330 1
 
< 0.1%
20210326 1
 
< 0.1%
20210318 1
 
< 0.1%
20210317 1
 
< 0.1%
20210311 1
 
< 0.1%
20210309 3
< 0.1%
20210308 2
< 0.1%
20210307 1
 
< 0.1%
20210305 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing9992
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20184356
Minimum20131115
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:16.424045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131115
5-th percentile20148269
Q120180577
median20185773
Q320200368
95-th percentile20206956
Maximum20210101
Range78986
Interquartile range (IQR)19791.75

Descriptive statistics

Standard deviation24211.325
Coefficient of variation (CV)0.0011995094
Kurtosis3.6977894
Mean20184356
Median Absolute Deviation (MAD)9997
Skewness-1.6799421
Sum1.6147485 × 108
Variance5.8618825 × 108
MonotonicityNot monotonic
2024-04-17T01:45:16.519310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20180727 1
 
< 0.1%
20210101 1
 
< 0.1%
20190328 1
 
< 0.1%
20181218 1
 
< 0.1%
20131115 1
 
< 0.1%
20180126 1
 
< 0.1%
20201114 1
 
< 0.1%
20200120 1
 
< 0.1%
(Missing) 9992
99.9%
ValueCountFrequency (%)
20131115 1
< 0.1%
20180126 1
< 0.1%
20180727 1
< 0.1%
20181218 1
< 0.1%
20190328 1
< 0.1%
20200120 1
< 0.1%
20201114 1
< 0.1%
20210101 1
< 0.1%
ValueCountFrequency (%)
20210101 1
< 0.1%
20201114 1
< 0.1%
20200120 1
< 0.1%
20190328 1
< 0.1%
20181218 1
< 0.1%
20180727 1
< 0.1%
20180126 1
< 0.1%
20131115 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing9992
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20201721
Minimum20140317
Maximum20230125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:16.622880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140317
5-th percentile20157960
Q120197927
median20206025
Q320220106
95-th percentile20226623
Maximum20230125
Range89808
Interquartile range (IQR)22178.75

Descriptive statistics

Standard deviation27927.525
Coefficient of variation (CV)0.001382433
Kurtosis3.6202508
Mean20201721
Median Absolute Deviation (MAD)14085
Skewness-1.720408
Sum1.6161376 × 108
Variance7.7994666 × 108
MonotonicityNot monotonic
2024-04-17T01:45:16.716357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20190726 1
 
< 0.1%
20220101 1
 
< 0.1%
20200327 1
 
< 0.1%
20201219 1
 
< 0.1%
20140317 1
 
< 0.1%
20230125 1
 
< 0.1%
20210831 1
 
< 0.1%
20220119 1
 
< 0.1%
(Missing) 9992
99.9%
ValueCountFrequency (%)
20140317 1
< 0.1%
20190726 1
< 0.1%
20200327 1
< 0.1%
20201219 1
< 0.1%
20210831 1
< 0.1%
20220101 1
< 0.1%
20220119 1
< 0.1%
20230125 1
< 0.1%
ValueCountFrequency (%)
20230125 1
< 0.1%
20220119 1
< 0.1%
20220101 1
< 0.1%
20210831 1
< 0.1%
20201219 1
< 0.1%
20200327 1
< 0.1%
20190726 1
< 0.1%
20140317 1
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct5708
Distinct (%)91.2%
Missing3740
Missing (%)37.4%
Memory size156.2 KiB
2024-04-17T01:45:16.936304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.715495
Min length2

Characters and Unicode

Total characters67079
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

Unique5241 ?
Unique (%)83.7%

Sample

1st row55-5679
2nd row1644-0726
3rd row051)203-5369
4th row555-4408
5th row051-702-6655
ValueCountFrequency (%)
636-1814 5
 
0.1%
362-7575 5
 
0.1%
051-892-4061 4
 
0.1%
517-3337 4
 
0.1%
702-9824 4
 
0.1%
051-751-3484 4
 
0.1%
557-7583 4
 
0.1%
051 4
 
0.1%
051-364-5959 4
 
0.1%
051-314-6689 4
 
0.1%
Other values (5701) 6223
99.3%
2024-04-17T01:45:17.306591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10021
14.9%
5 9577
14.3%
0 8851
13.2%
1 8412
12.5%
2 5056
7.5%
7 4719
7.0%
8 4552
6.8%
3 4409
6.6%
6 4297
6.4%
4 3961
 
5.9%
Other values (7) 3224
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56703
84.5%
Dash Punctuation 10021
 
14.9%
Close Punctuation 323
 
0.5%
Math Symbol 13
 
< 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 9577
16.9%
0 8851
15.6%
1 8412
14.8%
2 5056
8.9%
7 4719
8.3%
8 4552
8.0%
3 4409
7.8%
6 4297
7.6%
4 3961
7.0%
9 2869
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 5
38.5%
Dash Punctuation
ValueCountFrequency (%)
- 10021
100.0%
Close Punctuation
ValueCountFrequency (%)
) 323
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67079
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10021
14.9%
5 9577
14.3%
0 8851
13.2%
1 8412
12.5%
2 5056
7.5%
7 4719
7.0%
8 4552
6.8%
3 4409
6.6%
6 4297
6.4%
4 3961
 
5.9%
Other values (7) 3224
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10021
14.9%
5 9577
14.3%
0 8851
13.2%
1 8412
12.5%
2 5056
7.5%
7 4719
7.0%
8 4552
6.8%
3 4409
6.6%
6 4297
6.4%
4 3961
 
5.9%
Other values (7) 3224
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct945
Distinct (%)17.8%
Missing4681
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean608838.93
Minimum46253
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:17.427721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46253
5-th percentile601804
Q1607123
median609843
Q3613831
95-th percentile617070
Maximum619963
Range573710
Interquartile range (IQR)6708

Descriptive statistics

Standard deviation28201.148
Coefficient of variation (CV)0.046319555
Kurtosis380.59324
Mean608838.93
Median Absolute Deviation (MAD)3912
Skewness-19.261292
Sum3.2384143 × 109
Variance7.9530477 × 108
MonotonicityNot monotonic
2024-04-17T01:45:17.541114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609340 74
 
0.7%
609311 40
 
0.4%
609811 40
 
0.4%
601838 36
 
0.4%
611071 35
 
0.4%
609801 35
 
0.4%
612021 31
 
0.3%
607101 31
 
0.3%
611085 30
 
0.3%
614853 29
 
0.3%
Other values (935) 4938
49.4%
(Missing) 4681
46.8%
ValueCountFrequency (%)
46253 1
< 0.1%
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%
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
0.1%
619904 1
 
< 0.1%
619903 22
0.2%
619902 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct7591
Distinct (%)86.1%
Missing1181
Missing (%)11.8%
Memory size156.2 KiB
2024-04-17T01:45:17.845043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length24.936161
Min length2

Characters and Unicode

Total characters219912
Distinct characters511
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

Unique6821 ?
Unique (%)77.3%

Sample

1st row부산광역시 동래구 안락1동 421-24
2nd row부산광역시 영도구 봉래동2가 23-24
3rd row부산광역시 사상구 감전동 165번지 1호
4th row부산광역시 해운대구 반여동 1161번지 3호
5th row부산광역시 사하구 하단동 589번지 33호
ValueCountFrequency (%)
부산광역시 8764
 
18.9%
부산진구 1238
 
2.7%
동래구 1066
 
2.3%
금정구 1052
 
2.3%
1호 979
 
2.1%
해운대구 723
 
1.6%
연제구 700
 
1.5%
남구 569
 
1.2%
수영구 532
 
1.1%
2호 514
 
1.1%
Other values (5446) 30284
65.2%
2024-04-17T01:45:18.283198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37809
 
17.2%
부 11020
 
5.0%
산 10960
 
5.0%
동 10712
 
4.9%
1 10626
 
4.8%
광 9089
 
4.1%
구 9034
 
4.1%
시 8923
 
4.1%
역 8786
 
4.0%
지 7365
 
3.3%
Other values (501) 95588
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133178
60.6%
Decimal Number 46155
 
21.0%
Space Separator 37809
 
17.2%
Dash Punctuation 1660
 
0.8%
Open Punctuation 307
 
0.1%
Close Punctuation 306
 
0.1%
Uppercase Letter 301
 
0.1%
Other Punctuation 154
 
0.1%
Lowercase Letter 38
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 11020
 
8.3%
산 10960
 
8.2%
동 10712
 
8.0%
광 9089
 
6.8%
구 9034
 
6.8%
시 8923
 
6.7%
역 8786
 
6.6%
지 7365
 
5.5%
호 7199
 
5.4%
번 6956
 
5.2%
Other values (441) 43134
32.4%
Uppercase Letter
ValueCountFrequency (%)
B 55
18.3%
T 32
10.6%
A 32
10.6%
S 25
 
8.3%
K 24
 
8.0%
D 19
 
6.3%
O 16
 
5.3%
F 13
 
4.3%
G 11
 
3.7%
L 10
 
3.3%
Other values (13) 64
21.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
18.4%
b 5
13.2%
s 5
13.2%
h 4
10.5%
o 4
10.5%
u 2
 
5.3%
g 2
 
5.3%
t 2
 
5.3%
l 1
 
2.6%
p 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
1 10626
23.0%
2 7094
15.4%
3 5569
12.1%
4 4240
 
9.2%
5 3941
 
8.5%
0 3335
 
7.2%
6 3249
 
7.0%
7 2923
 
6.3%
8 2643
 
5.7%
9 2535
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 104
67.5%
/ 26
 
16.9%
@ 15
 
9.7%
& 5
 
3.2%
. 3
 
1.9%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
37809
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1660
100.0%
Open Punctuation
ValueCountFrequency (%)
( 307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133178
60.6%
Common 86395
39.3%
Latin 339
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 11020
 
8.3%
산 10960
 
8.2%
동 10712
 
8.0%
광 9089
 
6.8%
구 9034
 
6.8%
시 8923
 
6.7%
역 8786
 
6.6%
지 7365
 
5.5%
호 7199
 
5.4%
번 6956
 
5.2%
Other values (441) 43134
32.4%
Latin
ValueCountFrequency (%)
B 55
16.2%
T 32
 
9.4%
A 32
 
9.4%
S 25
 
7.4%
K 24
 
7.1%
D 19
 
5.6%
O 16
 
4.7%
F 13
 
3.8%
G 11
 
3.2%
L 10
 
2.9%
Other values (28) 102
30.1%
Common
ValueCountFrequency (%)
37809
43.8%
1 10626
 
12.3%
2 7094
 
8.2%
3 5569
 
6.4%
4 4240
 
4.9%
5 3941
 
4.6%
0 3335
 
3.9%
6 3249
 
3.8%
7 2923
 
3.4%
8 2643
 
3.1%
Other values (12) 4966
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133178
60.6%
ASCII 86732
39.4%
None 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37809
43.6%
1 10626
 
12.3%
2 7094
 
8.2%
3 5569
 
6.4%
4 4240
 
4.9%
5 3941
 
4.5%
0 3335
 
3.8%
6 3249
 
3.7%
7 2923
 
3.4%
8 2643
 
3.0%
Other values (48) 5303
 
6.1%
Hangul
ValueCountFrequency (%)
부 11020
 
8.3%
산 10960
 
8.2%
동 10712
 
8.0%
광 9089
 
6.8%
구 9034
 
6.8%
시 8923
 
6.7%
역 8786
 
6.6%
지 7365
 
5.5%
호 7199
 
5.4%
번 6956
 
5.2%
Other values (441) 43134
32.4%
None
ValueCountFrequency (%)
· 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct8212
Distinct (%)89.3%
Missing799
Missing (%)8.0%
Memory size156.2 KiB
2024-04-17T01:45:18.571113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length52
Mean length30.894903
Min length13

Characters and Unicode

Total characters284264
Distinct characters575
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

Unique7452 ?
Unique (%)81.0%

Sample

1st row부산광역시 영도구 절영로13번길 35, 5층 (봉래동2가)
2nd row부산광역시 사상구 새벽로121번길 103 (감전동)
3rd row부산광역시 해운대구 명장로67번길 50, 선우빌딩 610호 (반여동)
4th row부산광역시 사하구 비봉로 29-0 , 201동 705호
5th row부산광역시 수영구 연수로 400, 3층 (광안동)
ValueCountFrequency (%)
부산광역시 9200
 
16.7%
부산진구 1302
 
2.4%
금정구 967
 
1.8%
2층 926
 
1.7%
1층 909
 
1.6%
동래구 887
 
1.6%
해운대구 886
 
1.6%
연제구 709
 
1.3%
남구 573
 
1.0%
동구 565
 
1.0%
Other values (6644) 38320
69.4%
2024-04-17T01:45:18.981892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46071
 
16.2%
동 12156
 
4.3%
부 11819
 
4.2%
산 11664
 
4.1%
1 10190
 
3.6%
광 9787
 
3.4%
시 9706
 
3.4%
구 9609
 
3.4%
역 9228
 
3.2%
로 9114
 
3.2%
Other values (565) 144920
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166504
58.6%
Space Separator 46071
 
16.2%
Decimal Number 44503
 
15.7%
Close Punctuation 9050
 
3.2%
Open Punctuation 9049
 
3.2%
Other Punctuation 7276
 
2.6%
Dash Punctuation 1238
 
0.4%
Uppercase Letter 478
 
0.2%
Lowercase Letter 63
 
< 0.1%
Math Symbol 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12156
 
7.3%
부 11819
 
7.1%
산 11664
 
7.0%
광 9787
 
5.9%
시 9706
 
5.8%
구 9609
 
5.8%
역 9228
 
5.5%
로 9114
 
5.5%
대 4883
 
2.9%
층 3807
 
2.3%
Other values (501) 74731
44.9%
Uppercase Letter
ValueCountFrequency (%)
B 109
22.8%
A 60
12.6%
C 43
 
9.0%
S 36
 
7.5%
E 30
 
6.3%
K 27
 
5.6%
T 26
 
5.4%
P 18
 
3.8%
H 17
 
3.6%
D 16
 
3.3%
Other values (14) 96
20.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
31.7%
s 6
 
9.5%
v 5
 
7.9%
b 5
 
7.9%
c 4
 
6.3%
k 3
 
4.8%
o 3
 
4.8%
l 3
 
4.8%
n 3
 
4.8%
i 2
 
3.2%
Other values (6) 9
14.3%
Decimal Number
ValueCountFrequency (%)
1 10190
22.9%
2 7255
16.3%
3 5156
11.6%
0 4342
9.8%
4 3706
 
8.3%
5 3387
 
7.6%
6 2990
 
6.7%
7 2866
 
6.4%
9 2343
 
5.3%
8 2268
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 7224
99.3%
@ 20
 
0.3%
/ 16
 
0.2%
. 6
 
0.1%
& 5
 
0.1%
· 3
 
< 0.1%
; 1
 
< 0.1%
! 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
46071
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9050
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9049
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1238
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166504
58.6%
Common 117216
41.2%
Latin 544
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12156
 
7.3%
부 11819
 
7.1%
산 11664
 
7.0%
광 9787
 
5.9%
시 9706
 
5.8%
구 9609
 
5.8%
역 9228
 
5.5%
로 9114
 
5.5%
대 4883
 
2.9%
층 3807
 
2.3%
Other values (501) 74731
44.9%
Latin
ValueCountFrequency (%)
B 109
20.0%
A 60
 
11.0%
C 43
 
7.9%
S 36
 
6.6%
E 30
 
5.5%
K 27
 
5.0%
T 26
 
4.8%
e 20
 
3.7%
P 18
 
3.3%
H 17
 
3.1%
Other values (31) 158
29.0%
Common
ValueCountFrequency (%)
46071
39.3%
1 10190
 
8.7%
) 9050
 
7.7%
( 9049
 
7.7%
2 7255
 
6.2%
, 7224
 
6.2%
3 5156
 
4.4%
0 4342
 
3.7%
4 3706
 
3.2%
5 3387
 
2.9%
Other values (13) 11786
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166504
58.6%
ASCII 117754
41.4%
None 3
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46071
39.1%
1 10190
 
8.7%
) 9050
 
7.7%
( 9049
 
7.7%
2 7255
 
6.2%
, 7224
 
6.1%
3 5156
 
4.4%
0 4342
 
3.7%
4 3706
 
3.1%
5 3387
 
2.9%
Other values (52) 12324
 
10.5%
Hangul
ValueCountFrequency (%)
동 12156
 
7.3%
부 11819
 
7.1%
산 11664
 
7.0%
광 9787
 
5.9%
시 9706
 
5.8%
구 9609
 
5.8%
역 9228
 
5.5%
로 9114
 
5.5%
대 4883
 
2.9%
층 3807
 
2.3%
Other values (501) 74731
44.9%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1965
Distinct (%)24.9%
Missing2113
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean116808.27
Minimum42761
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:19.115868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42761
5-th percentile46229.3
Q147210
median48002
Q348805.5
95-th percentile612824
Maximum619963
Range577202
Interquartile range (IQR)1595.5

Descriptive statistics

Standard deviation184800.14
Coefficient of variation (CV)1.582081
Kurtosis3.3012162
Mean116808.27
Median Absolute Deviation (MAD)793
Skewness2.3020289
Sum9.212668 × 108
Variance3.415109 × 1010
MonotonicityNot monotonic
2024-04-17T01:45:19.226624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48060 52
 
0.5%
48059 42
 
0.4%
47257 35
 
0.4%
48445 34
 
0.3%
47542 34
 
0.3%
48092 32
 
0.3%
48095 31
 
0.3%
46988 30
 
0.3%
48104 28
 
0.3%
48093 28
 
0.3%
Other values (1955) 7541
75.4%
(Missing) 2113
 
21.1%
ValueCountFrequency (%)
42761 1
 
< 0.1%
46002 2
 
< 0.1%
46004 2
 
< 0.1%
46007 6
 
0.1%
46008 8
0.1%
46010 1
 
< 0.1%
46012 3
 
< 0.1%
46013 4
 
< 0.1%
46014 2
 
< 0.1%
46015 19
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

Distinct8328
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T01:45:19.462090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length7.3009
Min length1

Characters and Unicode

Total characters73009
Distinct characters797
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

Unique7443 ?
Unique (%)74.4%

Sample

1st row우리메디칼
2nd row주식회사 제이앤엠
3rd row씨유감전공단점
4th row가흥
5th row스튜디오킴
ValueCountFrequency (%)
주식회사 344
 
2.7%
세븐일레븐 140
 
1.1%
gs25 124
 
1.0%
씨유 106
 
0.8%
메디칼 74
 
0.6%
주)하이프라자 45
 
0.4%
의료기 44
 
0.3%
신신의료기 43
 
0.3%
씨제이올리브영(주 41
 
0.3%
주)코리아세븐 37
 
0.3%
Other values (8431) 11761
92.2%
2024-04-17T01:45:19.834819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2759
 
3.8%
메 2429
 
3.3%
디 2405
 
3.3%
점 2048
 
2.8%
이 1905
 
2.6%
스 1830
 
2.5%
주 1739
 
2.4%
) 1558
 
2.1%
( 1539
 
2.1%
기 1436
 
2.0%
Other values (787) 53361
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62330
85.4%
Space Separator 2759
 
3.8%
Uppercase Letter 2681
 
3.7%
Close Punctuation 1558
 
2.1%
Open Punctuation 1539
 
2.1%
Decimal Number 930
 
1.3%
Lowercase Letter 825
 
1.1%
Other Symbol 201
 
0.3%
Other Punctuation 157
 
0.2%
Dash Punctuation 24
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 2429
 
3.9%
디 2405
 
3.9%
점 2048
 
3.3%
이 1905
 
3.1%
스 1830
 
2.9%
주 1739
 
2.8%
기 1436
 
2.3%
칼 1380
 
2.2%
의 1080
 
1.7%
료 1037
 
1.7%
Other values (712) 45041
72.3%
Uppercase Letter
ValueCountFrequency (%)
S 519
19.4%
G 364
13.6%
C 292
10.9%
M 209
 
7.8%
U 182
 
6.8%
B 112
 
4.2%
H 112
 
4.2%
D 106
 
4.0%
E 93
 
3.5%
K 93
 
3.5%
Other values (16) 599
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 119
14.4%
a 82
9.9%
i 76
 
9.2%
n 71
 
8.6%
o 64
 
7.8%
d 53
 
6.4%
t 48
 
5.8%
c 40
 
4.8%
r 39
 
4.7%
m 37
 
4.5%
Other values (14) 196
23.8%
Decimal Number
ValueCountFrequency (%)
2 383
41.2%
5 374
40.2%
3 52
 
5.6%
1 51
 
5.5%
0 31
 
3.3%
4 18
 
1.9%
6 10
 
1.1%
8 4
 
0.4%
7 4
 
0.4%
9 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 82
52.2%
& 51
32.5%
, 10
 
6.4%
/ 8
 
5.1%
· 3
 
1.9%
? 2
 
1.3%
' 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2759
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1558
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1539
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62525
85.6%
Common 6972
 
9.5%
Latin 3506
 
4.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 2429
 
3.9%
디 2405
 
3.8%
점 2048
 
3.3%
이 1905
 
3.0%
스 1830
 
2.9%
주 1739
 
2.8%
기 1436
 
2.3%
칼 1380
 
2.2%
의 1080
 
1.7%
료 1037
 
1.7%
Other values (708) 45236
72.3%
Latin
ValueCountFrequency (%)
S 519
 
14.8%
G 364
 
10.4%
C 292
 
8.3%
M 209
 
6.0%
U 182
 
5.2%
e 119
 
3.4%
B 112
 
3.2%
H 112
 
3.2%
D 106
 
3.0%
E 93
 
2.7%
Other values (40) 1398
39.9%
Common
ValueCountFrequency (%)
2759
39.6%
) 1558
22.3%
( 1539
22.1%
2 383
 
5.5%
5 374
 
5.4%
. 82
 
1.2%
3 52
 
0.7%
& 51
 
0.7%
1 51
 
0.7%
0 31
 
0.4%
Other values (14) 92
 
1.3%
Han
ValueCountFrequency (%)
新 2
33.3%
百 1
16.7%
大 1
16.7%
昊 1
16.7%
碩 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62324
85.4%
ASCII 10474
 
14.3%
None 204
 
0.3%
CJK 6
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2759
26.3%
) 1558
14.9%
( 1539
14.7%
S 519
 
5.0%
2 383
 
3.7%
5 374
 
3.6%
G 364
 
3.5%
C 292
 
2.8%
M 209
 
2.0%
U 182
 
1.7%
Other values (62) 2295
21.9%
Hangul
ValueCountFrequency (%)
메 2429
 
3.9%
디 2405
 
3.9%
점 2048
 
3.3%
이 1905
 
3.1%
스 1830
 
2.9%
주 1739
 
2.8%
기 1436
 
2.3%
칼 1380
 
2.2%
의 1080
 
1.7%
료 1037
 
1.7%
Other values (707) 45035
72.3%
None
ValueCountFrequency (%)
㈜ 201
98.5%
· 3
 
1.5%
CJK
ValueCountFrequency (%)
新 2
33.3%
百 1
16.7%
大 1
16.7%
昊 1
16.7%
碩 1
16.7%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9829
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154958 × 1013
Minimum2.0081008 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:19.956320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081008 × 1013
5-th percentile2.0090216 × 1013
Q12.0130306 × 1013
median2.0160527 × 1013
Q32.0190215 × 1013
95-th percentile2.0201126 × 1013
Maximum2.0210331 × 1013
Range1.29323 × 1011
Interquartile range (IQR)5.9909021 × 1010

Descriptive statistics

Standard deviation3.6226488 × 1010
Coefficient of variation (CV)0.0017973984
Kurtosis-0.91873338
Mean2.0154958 × 1013
Median Absolute Deviation (MAD)2.9877002 × 1010
Skewness-0.3624468
Sum2.0154958 × 1017
Variance1.3123584 × 1021
MonotonicityNot monotonic
2024-04-17T01:45:20.076043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183101 30
 
0.3%
20081201183056 24
 
0.2%
20081201183059 22
 
0.2%
20081201183058 19
 
0.2%
20081201183102 14
 
0.1%
20081201183100 9
 
0.1%
20081215160951 8
 
0.1%
20081215160952 8
 
0.1%
20081201183055 8
 
0.1%
20081215160946 8
 
0.1%
Other values (9819) 9850
98.5%
ValueCountFrequency (%)
20081008173244 1
< 0.1%
20081027175306 1
< 0.1%
20081107180726 1
< 0.1%
20081114101753 1
< 0.1%
20081117153625 1
< 0.1%
20081117154840 1
< 0.1%
20081117155040 1
< 0.1%
20081117155413 1
< 0.1%
20081117160026 1
< 0.1%
20081117164342 1
< 0.1%
ValueCountFrequency (%)
20210331171434 1
< 0.1%
20210331171300 1
< 0.1%
20210331170838 1
< 0.1%
20210331170645 1
< 0.1%
20210331154014 1
< 0.1%
20210331141331 1
< 0.1%
20210330170013 1
< 0.1%
20210330153554 1
< 0.1%
20210330153547 1
< 0.1%
20210330144416 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8270 
U
1730 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8270
82.7%
U 1730
 
17.3%

Length

2024-04-17T01:45:20.204891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:20.280589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8270
82.7%
u 1730
 
17.3%

데이터갱신일자
Date

Distinct1043
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-17T01:45:20.614447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:45:20.729048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct5930
Distinct (%)64.4%
Missing798
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean388232.65
Minimum210912.3
Maximum407504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:20.864240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210912.3
5-th percentile379916.23
Q1385182.87
median388551.56
Q3391207.15
95-th percentile397563.95
Maximum407504
Range196591.7
Interquartile range (IQR)6024.2773

Descriptive statistics

Standard deviation5484.1568
Coefficient of variation (CV)0.014125955
Kurtosis119.98841
Mean388232.65
Median Absolute Deviation (MAD)2966.2332
Skewness-3.8259005
Sum3.5725169 × 109
Variance30075976
MonotonicityNot monotonic
2024-04-17T01:45:21.008775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380482.767624189 36
 
0.4%
388957.42402057 28
 
0.3%
395615.201853958 27
 
0.3%
387225.613588405 22
 
0.2%
391411.212179843 22
 
0.2%
396180.621244719 21
 
0.2%
387271.299492377 21
 
0.2%
387539.767677801 20
 
0.2%
385585.321891141 20
 
0.2%
385590.814676765 20
 
0.2%
Other values (5920) 8965
89.6%
(Missing) 798
 
8.0%
ValueCountFrequency (%)
210912.298397326 1
< 0.1%
336604.0 1
< 0.1%
343658.963968 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%
ValueCountFrequency (%)
407504.0 1
< 0.1%
407240.89489229 2
< 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%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct5932
Distinct (%)64.5%
Missing798
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean187737.06
Minimum169703.39
Maximum424655.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:21.147421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile179361.39
Q1184079.1
median187411.83
Q3191147.54
95-th percentile197422.76
Maximum424655.49
Range254952.09
Interquartile range (IQR)7068.4408

Descriptive statistics

Standard deviation6143.9658
Coefficient of variation (CV)0.032726441
Kurtosis244.1188
Mean187737.06
Median Absolute Deviation (MAD)3543.0979
Skewness6.8319618
Sum1.7275564 × 109
Variance37748316
MonotonicityNot monotonic
2024-04-17T01:45:21.271498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185582.274947583 36
 
0.4%
188908.124798577 28
 
0.3%
186406.750870936 27
 
0.3%
184052.409245407 22
 
0.2%
186408.726533861 22
 
0.2%
186522.35047527 21
 
0.2%
186099.137533193 21
 
0.2%
179553.867031936 20
 
0.2%
181149.765235809 20
 
0.2%
184402.96650913 20
 
0.2%
Other values (5922) 8965
89.6%
(Missing) 798
 
8.0%
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%
264477.429047 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%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
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