Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells129351
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

Description2021-06-01
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 10000 (100.0%) missing valuesMissing
폐업일자 has 5237 (52.4%) missing valuesMissing
휴업시작일자 has 9991 (99.9%) missing valuesMissing
휴업종료일자 has 9991 (99.9%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 3764 (37.6%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 4718 (47.2%) missing valuesMissing
소재지전체주소 has 1175 (11.8%) missing valuesMissing
도로명전체주소 has 792 (7.9%) missing valuesMissing
도로명우편번호 has 2103 (21.0%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(x) has 790 (7.9%) missing valuesMissing
좌표정보(y) has 790 (7.9%) 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 16:44:59.185093
Analysis finished2024-04-16 16:45:00.874547
Duration1.69 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%
Mean5082.4185
Minimum1
Maximum10159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:00.942695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile508.95
Q12542.75
median5083.5
Q37625.25
95-th percentile9656.05
Maximum10159
Range10158
Interquartile range (IQR)5082.5

Descriptive statistics

Standard deviation2934.6449
Coefficient of variation (CV)0.57741111
Kurtosis-1.200587
Mean5082.4185
Median Absolute Deviation (MAD)2541.5
Skewness-0.00015014009
Sum50824185
Variance8612140.6
MonotonicityNot monotonic
2024-04-17T01:45:01.068345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8694 1
 
< 0.1%
1269 1
 
< 0.1%
1070 1
 
< 0.1%
7834 1
 
< 0.1%
791 1
 
< 0.1%
6018 1
 
< 0.1%
4412 1
 
< 0.1%
2005 1
 
< 0.1%
3539 1
 
< 0.1%
9792 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 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%
11 1
< 0.1%
ValueCountFrequency (%)
10159 1
< 0.1%
10158 1
< 0.1%
10157 1
< 0.1%
10156 1
< 0.1%
10155 1
< 0.1%
10154 1
< 0.1%
10153 1
< 0.1%
10152 1
< 0.1%
10151 1
< 0.1%
10150 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

2024-04-17T01:45:01.172073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:01.245651image/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

2024-04-17T01:45:01.321134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:01.395204image/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%
Mean3324262
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:01.465833image/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 deviation40062.899
Coefficient of variation (CV)0.012051667
Kurtosis-0.95514971
Mean3324262
Median Absolute Deviation (MAD)30000
Skewness0.10614681
Sum3.324262 × 1010
Variance1.6050359 × 109
MonotonicityNot monotonic
2024-04-17T01:45:01.569460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 1405
14.1%
3300000 1073
10.7%
3350000 1068
10.7%
3330000 927
9.3%
3370000 739
7.4%
3310000 737
7.4%
3270000 622
 
6.2%
3380000 572
 
5.7%
3390000 555
 
5.5%
3340000 542
 
5.4%
Other values (6) 1760
17.6%
ValueCountFrequency (%)
3250000 367
 
3.7%
3260000 260
 
2.6%
3270000 622
6.2%
3280000 147
 
1.5%
3290000 1405
14.1%
3300000 1073
10.7%
3310000 737
7.4%
3320000 514
 
5.1%
3330000 927
9.3%
3340000 542
 
5.4%
ValueCountFrequency (%)
3400000 268
 
2.7%
3390000 555
5.5%
3380000 572
5.7%
3370000 739
7.4%
3360000 204
 
2.0%
3350000 1068
10.7%
3340000 542
5.4%
3330000 927
9.3%
3320000 514
5.1%
3310000 737
7.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T01:45:01.920631image/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 rowPHMG120193320045047000018
2nd rowPHMG120053310024047000012
3rd rowPHMG120173350024047000014
4th rowPHMG120083300024047000029
5th rowPHMG120113330024047000053
ValueCountFrequency (%)
phmg120193320045047000018 1
 
< 0.1%
phmg120163370022047000025 1
 
< 0.1%
phmg120113310024047000006 1
 
< 0.1%
phmg120053300024047000002 1
 
< 0.1%
phmg119933300024047000001 1
 
< 0.1%
phmg120183340025047000017 1
 
< 0.1%
phmg120113300024047000057 1
 
< 0.1%
phmg120193350024047000054 1
 
< 0.1%
phmg120113390023047000011 1
 
< 0.1%
phmg120013300024047000011 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-17T01:45:02.218553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88461
35.4%
2 28270
 
11.3%
3 22439
 
9.0%
1 22341
 
8.9%
4 19834
 
7.9%
7 13451
 
5.4%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 15197
 
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 88461
42.1%
2 28270
 
13.5%
3 22439
 
10.7%
1 22341
 
10.6%
4 19834
 
9.4%
7 13451
 
6.4%
5 4975
 
2.4%
9 4709
 
2.2%
8 2762
 
1.3%
6 2751
 
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 88461
42.1%
2 28270
 
13.5%
3 22439
 
10.7%
1 22341
 
10.6%
4 19834
 
9.4%
7 13451
 
6.4%
5 4975
 
2.4%
9 4709
 
2.2%
8 2762
 
1.3%
6 2751
 
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 88461
35.4%
2 28270
 
11.3%
3 22439
 
9.0%
1 22341
 
8.9%
4 19834
 
7.9%
7 13451
 
5.4%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 15197
 
6.1%

인허가일자
Real number (ℝ)

Distinct4288
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20121070
Minimum19660726
Maximum22190403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:02.368198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19660726
5-th percentile20010620
Q120090184
median20131210
Q320161116
95-th percentile20200624
Maximum22190403
Range2529677
Interquartile range (IQR)70932

Descriptive statistics

Standard deviation64950.707
Coefficient of variation (CV)0.0032279947
Kurtosis104.40646
Mean20121070
Median Absolute Deviation (MAD)39614.5
Skewness2.2374458
Sum2.012107 × 1011
Variance4.2185943 × 109
MonotonicityNot monotonic
2024-04-17T01:45:02.485133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141110 36
 
0.4%
20141114 35
 
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%
20141112 25
 
0.2%
20141118 25
 
0.2%
Other values (4278) 9708
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%
20210430 7
0.1%
20210429 5
0.1%
20210428 1
 
< 0.1%
20210427 2
 
< 0.1%
20210426 4
< 0.1%
20210423 2
 
< 0.1%
20210422 5
0.1%
20210421 3
< 0.1%
20210419 1
 
< 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
5095 
3
4834 
4
 
62
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5095
50.9%
3 4834
48.3%
4 62
 
0.6%
2 9
 
0.1%

Length

2024-04-17T01:45:02.592062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:02.671029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5095
50.9%
3 4834
48.3%
4 62
 
0.6%
2 9
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5095 
폐업
4834 
취소/말소/만료/정지/중지
 
62
휴업
 
9

Length

Max length14
Median length5
Mean length3.6029
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5095
50.9%
폐업 4834
48.3%
취소/말소/만료/정지/중지 62
 
0.6%
휴업 9
 
0.1%

Length

2024-04-17T01:45:02.773509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:02.872436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5095
50.9%
폐업 4834
48.3%
취소/말소/만료/정지/중지 62
 
0.6%
휴업 9
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
13
5095 
3
4834 
24
 
61
2
 
9
25
 
1

Length

Max length2
Median length2
Mean length1.5157
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 5095
50.9%
3 4834
48.3%
24 61
 
0.6%
2 9
 
0.1%
25 1
 
< 0.1%

Length

2024-04-17T01:45:02.974730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:03.077318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5095
50.9%
3 4834
48.3%
24 61
 
0.6%
2 9
 
0.1%
25 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
5095 
폐업
4834 
직권폐업
 
61
휴업
 
9
영업정지
 
1

Length

Max length4
Median length3
Mean length2.5219
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5095
50.9%
폐업 4834
48.3%
직권폐업 61
 
0.6%
휴업 9
 
0.1%
영업정지 1
 
< 0.1%

Length

2024-04-17T01:45:03.186476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:03.280471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5095
50.9%
폐업 4834
48.3%
직권폐업 61
 
0.6%
휴업 9
 
0.1%
영업정지 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct2461
Distinct (%)51.7%
Missing5237
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean20139023
Minimum19890125
Maximum20210428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:03.403982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890125
5-th percentile20050702
Q120110704
median20150528
Q320170929
95-th percentile20200527
Maximum20210428
Range320303
Interquartile range (IQR)60224.5

Descriptive statistics

Standard deviation47913.436
Coefficient of variation (CV)0.0023791341
Kurtosis2.6181049
Mean20139023
Median Absolute Deviation (MAD)30102
Skewness-1.2674146
Sum9.5922166 × 1010
Variance2.2956974 × 109
MonotonicityNot monotonic
2024-04-17T01:45:03.525323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161230 100
 
1.0%
20161229 99
 
1.0%
20161228 52
 
0.5%
20191018 33
 
0.3%
20191015 25
 
0.2%
20191011 18
 
0.2%
19990603 17
 
0.2%
20160725 16
 
0.2%
20110726 16
 
0.2%
20121226 12
 
0.1%
Other values (2451) 4375
43.8%
(Missing) 5237
52.4%
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 (%)
20210428 1
 
< 0.1%
20210426 1
 
< 0.1%
20210422 1
 
< 0.1%
20210420 2
< 0.1%
20210419 2
< 0.1%
20210415 4
< 0.1%
20210413 1
 
< 0.1%
20210412 2
< 0.1%
20210409 1
 
< 0.1%
20210407 1
 
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing9991
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20187251
Minimum20131115
Maximum20210409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:03.633051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131115
5-th percentile20150719
Q120180727
median20190328
Q320201114
95-th percentile20210286
Maximum20210409
Range79294
Interquartile range (IQR)20387

Descriptive statistics

Standard deviation24255.549
Coefficient of variation (CV)0.0012015281
Kurtosis3.6010075
Mean20187251
Median Absolute Deviation (MAD)10202
Skewness-1.6733456
Sum1.8168526 × 108
Variance5.8833164 × 108
MonotonicityNot monotonic
2024-04-17T01:45:03.739398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20200120 1
 
< 0.1%
20131115 1
 
< 0.1%
20180727 1
 
< 0.1%
20210101 1
 
< 0.1%
20201114 1
 
< 0.1%
20190328 1
 
< 0.1%
20210409 1
 
< 0.1%
20181218 1
 
< 0.1%
20180126 1
 
< 0.1%
(Missing) 9991
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%
20210409 1
< 0.1%
ValueCountFrequency (%)
20210409 1
< 0.1%
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 

Distinct9
Distinct (%)100.0%
Missing9991
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20202700
Minimum20140317
Maximum20230125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:03.840536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140317
5-th percentile20160481
Q120200327
median20210531
Q320220101
95-th percentile20226123
Maximum20230125
Range89808
Interquartile range (IQR)19774

Descriptive statistics

Standard deviation26288.364
Coefficient of variation (CV)0.0013012302
Kurtosis4.3588362
Mean20202700
Median Absolute Deviation (MAD)9588
Skewness-1.8780692
Sum1.818243 × 108
Variance6.9107807 × 108
MonotonicityNot monotonic
2024-04-17T01:45:03.932173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20220119 1
 
< 0.1%
20140317 1
 
< 0.1%
20190726 1
 
< 0.1%
20220101 1
 
< 0.1%
20210831 1
 
< 0.1%
20200327 1
 
< 0.1%
20210531 1
 
< 0.1%
20201219 1
 
< 0.1%
20230125 1
 
< 0.1%
(Missing) 9991
99.9%
ValueCountFrequency (%)
20140317 1
< 0.1%
20190726 1
< 0.1%
20200327 1
< 0.1%
20201219 1
< 0.1%
20210531 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%
20210531 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 

Distinct5688
Distinct (%)91.2%
Missing3764
Missing (%)37.6%
Memory size156.2 KiB
2024-04-17T01:45:04.147084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.717126
Min length2

Characters and Unicode

Total characters66832
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

Unique5224 ?
Unique (%)83.8%

Sample

1st row507-1108
2nd row051-645-2093
3rd row522-5543
4th row555-5777
5th row051-757-8844
ValueCountFrequency (%)
362-7575 5
 
0.1%
636-1814 5
 
0.1%
051-892-4061 4
 
0.1%
051 4
 
0.1%
051-314-6689 4
 
0.1%
051-867-7371 4
 
0.1%
051-761-1284 4
 
0.1%
517-3337 4
 
0.1%
051-364-5959 4
 
0.1%
557-7583 4
 
0.1%
Other values (5681) 6199
99.3%
2024-04-17T01:45:04.482878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 9988
14.9%
5 9555
14.3%
0 8826
13.2%
1 8361
12.5%
2 5037
7.5%
7 4707
7.0%
8 4528
6.8%
3 4387
6.6%
6 4290
6.4%
4 3947
 
5.9%
Other values (7) 3206
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56495
84.5%
Dash Punctuation 9988
 
14.9%
Close Punctuation 316
 
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 9555
16.9%
0 8826
15.6%
1 8361
14.8%
2 5037
8.9%
7 4707
8.3%
8 4528
8.0%
3 4387
7.8%
6 4290
7.6%
4 3947
7.0%
9 2857
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 5
38.5%
Dash Punctuation
ValueCountFrequency (%)
- 9988
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
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 66832
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 9988
14.9%
5 9555
14.3%
0 8826
13.2%
1 8361
12.5%
2 5037
7.5%
7 4707
7.0%
8 4528
6.8%
3 4387
6.6%
6 4290
6.4%
4 3947
 
5.9%
Other values (7) 3206
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66832
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 9988
14.9%
5 9555
14.3%
0 8826
13.2%
1 8361
12.5%
2 5037
7.5%
7 4707
7.0%
8 4528
6.8%
3 4387
6.6%
6 4290
6.4%
4 3947
 
5.9%
Other values (7) 3206
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING 

Distinct941
Distinct (%)17.8%
Missing4718
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean608936.19
Minimum46253
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:04.600779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46253
5-th percentile601804
Q1607123
median609843
Q3613832
95-th percentile617070
Maximum619963
Range573710
Interquartile range (IQR)6709

Descriptive statistics

Standard deviation27222.601
Coefficient of variation (CV)0.044705178
Kurtosis407.91532
Mean608936.19
Median Absolute Deviation (MAD)3913
Skewness-19.914319
Sum3.216401 × 109
Variance7.4106999 × 108
MonotonicityNot monotonic
2024-04-17T01:45:04.707549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609340 76
 
0.8%
609311 39
 
0.4%
609811 38
 
0.4%
601838 35
 
0.4%
611071 35
 
0.4%
609801 35
 
0.4%
611085 31
 
0.3%
607101 31
 
0.3%
612021 31
 
0.3%
614853 28
 
0.3%
Other values (931) 4903
49.0%
(Missing) 4718
47.2%
ValueCountFrequency (%)
46253 1
< 0.1%
46918 1
< 0.1%
46997 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
0.1%
619904 1
 
< 0.1%
619903 22
0.2%
619902 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct7596
Distinct (%)86.1%
Missing1175
Missing (%)11.8%
Memory size156.2 KiB
2024-04-17T01:45:05.026767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length24.912861
Min length2

Characters and Unicode

Total characters219856
Distinct characters509
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

Unique6824 ?
Unique (%)77.3%

Sample

1st row부산광역시 북구 만덕동 465번지 2호
2nd row부산광역시 남구 문현2동 466번지 4호 (1층)
3rd row부산광역시 금정구 장전동 40번지
4th row부산광역시 동래구 명장1동 67번지 27호
5th row부산광역시 해운대구 중1동 1394번지 161호 3층
ValueCountFrequency (%)
부산광역시 8769
 
18.9%
부산진구 1238
 
2.7%
동래구 1071
 
2.3%
금정구 1050
 
2.3%
1호 978
 
2.1%
해운대구 726
 
1.6%
연제구 696
 
1.5%
남구 571
 
1.2%
수영구 531
 
1.1%
2호 508
 
1.1%
Other values (5493) 30255
65.2%
2024-04-17T01:45:05.493007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37775
 
17.2%
부 11010
 
5.0%
산 10968
 
5.0%
동 10719
 
4.9%
1 10623
 
4.8%
광 9086
 
4.1%
구 9033
 
4.1%
시 8929
 
4.1%
역 8790
 
4.0%
지 7314
 
3.3%
Other values (499) 95609
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133152
60.6%
Decimal Number 46142
 
21.0%
Space Separator 37775
 
17.2%
Dash Punctuation 1700
 
0.8%
Open Punctuation 306
 
0.1%
Close Punctuation 305
 
0.1%
Uppercase Letter 288
 
0.1%
Other Punctuation 151
 
0.1%
Lowercase Letter 33
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 11010
 
8.3%
산 10968
 
8.2%
동 10719
 
8.1%
광 9086
 
6.8%
구 9033
 
6.8%
시 8929
 
6.7%
역 8790
 
6.6%
지 7314
 
5.5%
호 7144
 
5.4%
번 6903
 
5.2%
Other values (442) 43256
32.5%
Uppercase Letter
ValueCountFrequency (%)
B 51
17.7%
T 32
11.1%
A 32
11.1%
S 25
8.7%
K 21
 
7.3%
D 19
 
6.6%
O 17
 
5.9%
F 13
 
4.5%
G 11
 
3.8%
L 10
 
3.5%
Other values (13) 57
19.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
18.2%
s 5
15.2%
b 5
15.2%
h 4
12.1%
o 3
9.1%
u 2
 
6.1%
t 2
 
6.1%
g 2
 
6.1%
k 1
 
3.0%
c 1
 
3.0%
Other values (2) 2
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 10623
23.0%
2 7098
15.4%
3 5560
12.0%
4 4250
9.2%
5 3930
 
8.5%
0 3326
 
7.2%
6 3239
 
7.0%
7 2937
 
6.4%
8 2652
 
5.7%
9 2527
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 101
66.9%
/ 26
 
17.2%
@ 15
 
9.9%
& 4
 
2.6%
. 3
 
2.0%
· 2
 
1.3%
Space Separator
ValueCountFrequency (%)
37775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1700
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133152
60.6%
Common 86383
39.3%
Latin 321
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 11010
 
8.3%
산 10968
 
8.2%
동 10719
 
8.1%
광 9086
 
6.8%
구 9033
 
6.8%
시 8929
 
6.7%
역 8790
 
6.6%
지 7314
 
5.5%
호 7144
 
5.4%
번 6903
 
5.2%
Other values (442) 43256
32.5%
Latin
ValueCountFrequency (%)
B 51
15.9%
T 32
 
10.0%
A 32
 
10.0%
S 25
 
7.8%
K 21
 
6.5%
D 19
 
5.9%
O 17
 
5.3%
F 13
 
4.0%
G 11
 
3.4%
L 10
 
3.1%
Other values (25) 90
28.0%
Common
ValueCountFrequency (%)
37775
43.7%
1 10623
 
12.3%
2 7098
 
8.2%
3 5560
 
6.4%
4 4250
 
4.9%
5 3930
 
4.5%
0 3326
 
3.9%
6 3239
 
3.7%
7 2937
 
3.4%
8 2652
 
3.1%
Other values (12) 4993
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133152
60.6%
ASCII 86701
39.4%
None 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37775
43.6%
1 10623
 
12.3%
2 7098
 
8.2%
3 5560
 
6.4%
4 4250
 
4.9%
5 3930
 
4.5%
0 3326
 
3.8%
6 3239
 
3.7%
7 2937
 
3.4%
8 2652
 
3.1%
Other values (45) 5311
 
6.1%
Hangul
ValueCountFrequency (%)
부 11010
 
8.3%
산 10968
 
8.2%
동 10719
 
8.1%
광 9086
 
6.8%
구 9033
 
6.8%
시 8929
 
6.7%
역 8790
 
6.6%
지 7314
 
5.5%
호 7144
 
5.4%
번 6903
 
5.2%
Other values (442) 43256
32.5%
None
ValueCountFrequency (%)
· 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct8221
Distinct (%)89.3%
Missing792
Missing (%)7.9%
Memory size156.2 KiB
2024-04-17T01:45:05.794703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length52
Mean length30.913336
Min length13

Characters and Unicode

Total characters284650
Distinct characters576
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

Unique7459 ?
Unique (%)81.0%

Sample

1st row부산광역시 북구 구만덕로 58, 2층 (만덕동)
2nd row부산광역시 남구 전포대로40번길 21 (문현동)
3rd row부산광역시 금정구 부산대학로63번길 2 (장전동, 부산대학교 엔씨백화점)
4th row부산광역시 동래구 명안로45번길 58 (명장동)
5th row부산광역시 해운대구 중동1로 36 (중동)
ValueCountFrequency (%)
부산광역시 9207
 
16.6%
부산진구 1303
 
2.4%
금정구 968
 
1.8%
2층 933
 
1.7%
1층 912
 
1.6%
동래구 893
 
1.6%
해운대구 891
 
1.6%
연제구 704
 
1.3%
남구 571
 
1.0%
동구 561
 
1.0%
Other values (6665) 38369
69.4%
2024-04-17T01:45:06.218480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46131
 
16.2%
동 12167
 
4.3%
부 11814
 
4.2%
산 11677
 
4.1%
1 10220
 
3.6%
광 9790
 
3.4%
시 9715
 
3.4%
구 9614
 
3.4%
역 9235
 
3.2%
로 9121
 
3.2%
Other values (566) 145166
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166760
58.6%
Space Separator 46131
 
16.2%
Decimal Number 44575
 
15.7%
Close Punctuation 9059
 
3.2%
Open Punctuation 9058
 
3.2%
Other Punctuation 7279
 
2.6%
Dash Punctuation 1243
 
0.4%
Uppercase Letter 456
 
0.2%
Lowercase Letter 58
 
< 0.1%
Math Symbol 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12167
 
7.3%
부 11814
 
7.1%
산 11677
 
7.0%
광 9790
 
5.9%
시 9715
 
5.8%
구 9614
 
5.8%
역 9235
 
5.5%
로 9121
 
5.5%
대 4904
 
2.9%
층 3818
 
2.3%
Other values (502) 74905
44.9%
Uppercase Letter
ValueCountFrequency (%)
B 103
22.6%
A 60
13.2%
C 43
9.4%
S 35
 
7.7%
E 30
 
6.6%
T 25
 
5.5%
K 23
 
5.0%
P 18
 
3.9%
O 15
 
3.3%
D 15
 
3.3%
Other values (14) 89
19.5%
Lowercase Letter
ValueCountFrequency (%)
e 19
32.8%
s 6
 
10.3%
b 5
 
8.6%
c 4
 
6.9%
v 4
 
6.9%
n 3
 
5.2%
k 3
 
5.2%
h 2
 
3.4%
a 2
 
3.4%
o 2
 
3.4%
Other values (6) 8
13.8%
Decimal Number
ValueCountFrequency (%)
1 10220
22.9%
2 7273
16.3%
3 5148
11.5%
0 4344
9.7%
4 3720
 
8.3%
5 3401
 
7.6%
6 2999
 
6.7%
7 2852
 
6.4%
9 2336
 
5.2%
8 2282
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 7229
99.3%
@ 19
 
0.3%
/ 15
 
0.2%
. 7
 
0.1%
& 4
 
0.1%
· 3
 
< 0.1%
! 1
 
< 0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
46131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9059
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9058
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1243
100.0%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166760
58.6%
Common 117373
41.2%
Latin 517
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12167
 
7.3%
부 11814
 
7.1%
산 11677
 
7.0%
광 9790
 
5.9%
시 9715
 
5.8%
구 9614
 
5.8%
역 9235
 
5.5%
로 9121
 
5.5%
대 4904
 
2.9%
층 3818
 
2.3%
Other values (502) 74905
44.9%
Latin
ValueCountFrequency (%)
B 103
19.9%
A 60
11.6%
C 43
 
8.3%
S 35
 
6.8%
E 30
 
5.8%
T 25
 
4.8%
K 23
 
4.4%
e 19
 
3.7%
P 18
 
3.5%
O 15
 
2.9%
Other values (31) 146
28.2%
Common
ValueCountFrequency (%)
46131
39.3%
1 10220
 
8.7%
) 9059
 
7.7%
( 9058
 
7.7%
2 7273
 
6.2%
, 7229
 
6.2%
3 5148
 
4.4%
0 4344
 
3.7%
4 3720
 
3.2%
5 3401
 
2.9%
Other values (13) 11790
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166760
58.6%
ASCII 117884
41.4%
None 3
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46131
39.1%
1 10220
 
8.7%
) 9059
 
7.7%
( 9058
 
7.7%
2 7273
 
6.2%
, 7229
 
6.1%
3 5148
 
4.4%
0 4344
 
3.7%
4 3720
 
3.2%
5 3401
 
2.9%
Other values (52) 12301
 
10.4%
Hangul
ValueCountFrequency (%)
동 12167
 
7.3%
부 11814
 
7.1%
산 11677
 
7.0%
광 9790
 
5.9%
시 9715
 
5.8%
구 9614
 
5.8%
역 9235
 
5.5%
로 9121
 
5.5%
대 4904
 
2.9%
층 3818
 
2.3%
Other values (502) 74905
44.9%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1964
Distinct (%)24.9%
Missing2103
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean116143.18
Minimum42761
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:06.365635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42761
5-th percentile46229
Q147209
median48000
Q348796
95-th percentile612807.8
Maximum619963
Range577202
Interquartile range (IQR)1587

Descriptive statistics

Standard deviation184027.74
Coefficient of variation (CV)1.5844903
Kurtosis3.3782337
Mean116143.18
Median Absolute Deviation (MAD)794
Skewness2.3186906
Sum9.1718271 × 108
Variance3.386621 × 1010
MonotonicityNot monotonic
2024-04-17T01:45:06.485865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48060 51
 
0.5%
48059 41
 
0.4%
47257 34
 
0.3%
47542 34
 
0.3%
48092 34
 
0.3%
48445 32
 
0.3%
48095 31
 
0.3%
48093 30
 
0.3%
46988 30
 
0.3%
48104 28
 
0.3%
Other values (1954) 7552
75.5%
(Missing) 2103
 
21.0%
ValueCountFrequency (%)
42761 1
 
< 0.1%
46002 2
 
< 0.1%
46004 1
 
< 0.1%
46007 6
 
0.1%
46008 7
 
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

Distinct8329
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T01:45:06.710834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length7.3113
Min length1

Characters and Unicode

Total characters73113
Distinct characters798
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

Unique7445 ?
Unique (%)74.5%

Sample

1st row케이메드
2nd row대호치과재료
3rd row파코라반 복합관
4th row태림메디칼
5th row혜당메디칼
ValueCountFrequency (%)
주식회사 349
 
2.7%
세븐일레븐 142
 
1.1%
gs25 122
 
1.0%
씨유 104
 
0.8%
메디칼 72
 
0.6%
주)하이프라자 45
 
0.4%
신신의료기 44
 
0.3%
의료기 44
 
0.3%
씨제이올리브영(주 41
 
0.3%
주)코리아세븐 36
 
0.3%
Other values (8440) 11778
92.2%
2024-04-17T01:45:07.084502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2777
 
3.8%
메 2425
 
3.3%
디 2396
 
3.3%
점 2043
 
2.8%
이 1905
 
2.6%
스 1836
 
2.5%
주 1736
 
2.4%
) 1560
 
2.1%
( 1540
 
2.1%
기 1442
 
2.0%
Other values (788) 53453
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62373
85.3%
Space Separator 2777
 
3.8%
Uppercase Letter 2711
 
3.7%
Close Punctuation 1560
 
2.1%
Open Punctuation 1540
 
2.1%
Decimal Number 922
 
1.3%
Lowercase Letter 845
 
1.2%
Other Symbol 196
 
0.3%
Other Punctuation 160
 
0.2%
Dash Punctuation 24
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 2425
 
3.9%
디 2396
 
3.8%
점 2043
 
3.3%
이 1905
 
3.1%
스 1836
 
2.9%
주 1736
 
2.8%
기 1442
 
2.3%
칼 1376
 
2.2%
의 1082
 
1.7%
료 1041
 
1.7%
Other values (712) 45091
72.3%
Uppercase Letter
ValueCountFrequency (%)
S 525
19.4%
G 366
13.5%
C 290
10.7%
M 210
 
7.7%
U 180
 
6.6%
H 116
 
4.3%
B 112
 
4.1%
D 105
 
3.9%
K 98
 
3.6%
E 96
 
3.5%
Other values (16) 613
22.6%
Lowercase Letter
ValueCountFrequency (%)
e 124
14.7%
a 86
10.2%
i 76
 
9.0%
n 73
 
8.6%
o 64
 
7.6%
d 55
 
6.5%
t 49
 
5.8%
r 42
 
5.0%
c 40
 
4.7%
m 38
 
4.5%
Other values (14) 198
23.4%
Decimal Number
ValueCountFrequency (%)
2 379
41.1%
5 368
39.9%
3 52
 
5.6%
1 52
 
5.6%
0 31
 
3.4%
4 18
 
2.0%
6 11
 
1.2%
8 4
 
0.4%
7 4
 
0.4%
9 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 86
53.8%
& 49
30.6%
, 10
 
6.2%
/ 8
 
5.0%
· 3
 
1.9%
? 2
 
1.2%
' 1
 
0.6%
# 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2777
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1540
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 196
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 62563
85.6%
Common 6988
 
9.6%
Latin 3556
 
4.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 2425
 
3.9%
디 2396
 
3.8%
점 2043
 
3.3%
이 1905
 
3.0%
스 1836
 
2.9%
주 1736
 
2.8%
기 1442
 
2.3%
칼 1376
 
2.2%
의 1082
 
1.7%
료 1041
 
1.7%
Other values (708) 45281
72.4%
Latin
ValueCountFrequency (%)
S 525
 
14.8%
G 366
 
10.3%
C 290
 
8.2%
M 210
 
5.9%
U 180
 
5.1%
e 124
 
3.5%
H 116
 
3.3%
B 112
 
3.1%
D 105
 
3.0%
K 98
 
2.8%
Other values (40) 1430
40.2%
Common
ValueCountFrequency (%)
2777
39.7%
) 1560
22.3%
( 1540
22.0%
2 379
 
5.4%
5 368
 
5.3%
. 86
 
1.2%
3 52
 
0.7%
1 52
 
0.7%
& 49
 
0.7%
0 31
 
0.4%
Other values (15) 94
 
1.3%
Han
ValueCountFrequency (%)
新 2
33.3%
大 1
16.7%
昊 1
16.7%
碩 1
16.7%
百 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62367
85.3%
ASCII 10540
 
14.4%
None 199
 
0.3%
CJK 6
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2777
26.3%
) 1560
14.8%
( 1540
14.6%
S 525
 
5.0%
2 379
 
3.6%
5 368
 
3.5%
G 366
 
3.5%
C 290
 
2.8%
M 210
 
2.0%
U 180
 
1.7%
Other values (63) 2345
22.2%
Hangul
ValueCountFrequency (%)
메 2425
 
3.9%
디 2396
 
3.8%
점 2043
 
3.3%
이 1905
 
3.1%
스 1836
 
2.9%
주 1736
 
2.8%
기 1442
 
2.3%
칼 1376
 
2.2%
의 1082
 
1.7%
료 1041
 
1.7%
Other values (707) 45085
72.3%
None
ValueCountFrequency (%)
㈜ 196
98.5%
· 3
 
1.5%
CJK
ValueCountFrequency (%)
新 2
33.3%
大 1
16.7%
昊 1
16.7%
碩 1
16.7%
百 1
16.7%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9828
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0155389 × 1013
Minimum2.0081008 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:07.225186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081008 × 1013
5-th percentile2.0090216 × 1013
Q12.0130317 × 1013
median2.0160613 × 1013
Q32.0190314 × 1013
95-th percentile2.0201224 × 1013
Maximum2.021043 × 1013
Range1.29422 × 1011
Interquartile range (IQR)5.9996757 × 1010

Descriptive statistics

Standard deviation3.6523672 × 1010
Coefficient of variation (CV)0.0018121046
Kurtosis-0.92334528
Mean2.0155389 × 1013
Median Absolute Deviation (MAD)2.9899971 × 1010
Skewness-0.35760814
Sum2.0155389 × 1017
Variance1.3339786 × 1021
MonotonicityNot monotonic
2024-04-17T01:45:07.389408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183101 30
 
0.3%
20081201183056 25
 
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 (9818) 9849
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 (%)
20210430174320 1
< 0.1%
20210430165404 1
< 0.1%
20210430162344 1
< 0.1%
20210430155736 1
< 0.1%
20210430153928 1
< 0.1%
20210430114835 1
< 0.1%
20210430114757 1
< 0.1%
20210430114740 1
< 0.1%
20210430114726 1
< 0.1%
20210430114711 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8234 
U
1766 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8234
82.3%
U 1766
 
17.7%

Length

2024-04-17T01:45:07.516858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:07.588487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8234
82.3%
u 1766
 
17.7%

데이터갱신일자
Date

Distinct1077
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-17T01:45:07.677058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:45:08.059310image/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 

Distinct5937
Distinct (%)64.5%
Missing790
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean388225.55
Minimum210912.3
Maximum407504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:08.162112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210912.3
5-th percentile379853.66
Q1385142.57
median388551.92
Q3391215.67
95-th percentile397585.17
Maximum407504
Range196591.7
Interquartile range (IQR)6073.0938

Descriptive statistics

Standard deviation5497.3797
Coefficient of variation (CV)0.014160273
Kurtosis118.71606
Mean388225.55
Median Absolute Deviation (MAD)2966.5939
Skewness-3.8032575
Sum3.5755573 × 109
Variance30221183
MonotonicityNot monotonic
2024-04-17T01:45:08.277667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380482.767624189 36
 
0.4%
395615.201853958 29
 
0.3%
388957.42402057 28
 
0.3%
391411.212179843 23
 
0.2%
396180.621244719 23
 
0.2%
387225.613588405 21
 
0.2%
385590.814676765 20
 
0.2%
385585.321891141 20
 
0.2%
387271.299492377 19
 
0.2%
387539.767677801 19
 
0.2%
Other values (5927) 8972
89.7%
(Missing) 790
 
7.9%
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%
367451.087635496 1
< 0.1%
367897.480797822 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 

Distinct5939
Distinct (%)64.5%
Missing790
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean187740.59
Minimum169703.39
Maximum424655.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:08.399042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile179364.96
Q1184108.24
median187411.83
Q3191149.58
95-th percentile197430.77
Maximum424655.49
Range254952.09
Interquartile range (IQR)7041.3412

Descriptive statistics

Standard deviation6144.7443
Coefficient of variation (CV)0.032729972
Kurtosis243.77115
Mean187740.59
Median Absolute Deviation (MAD)3543.0979
Skewness6.8226406
Sum1.7290909 × 109
Variance37757883
MonotonicityNot monotonic
2024-04-17T01:45:08.512026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185582.274947583 36
 
0.4%
186406.750870936 29
 
0.3%
188908.124798577 28
 
0.3%
184052.409245407 23
 
0.2%
186522.35047527 23
 
0.2%
186408.726533861 21
 
0.2%
179553.867031936 20
 
0.2%
181149.765235809 20
 
0.2%
186099.137533193 19
 
0.2%
184402.96650913 19
 
0.2%
Other values (5929) 8972
89.7%
(Missing) 790
 
7.9%
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%
206423.253753 1
< 0.1%
206331.394785486 1
< 0.1%
206320.100629 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
86938694의료기기판매(임대)업01_02_03_P3320000PHMG12019332004504700001820120612<NA>1영업/정상13영업중<NA><NA><NA><NA>507-1108<NA><NA>부산광역시 북구 만덕동 465번지 2호부산광역시 북구 구만덕로 58, 2층 (만덕동)46607케이메드20190626113331I2019-06-28 02:21:22.0<NA>385977.4148192547.766869<NA><NA><NA><NA><NA>
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61056106의료기기판매(임대)업01_02_03_P3350000PHMG12017335002404700001420170419<NA>3폐업3폐업20180706<NA><NA><NA><NA><NA><NA>부산광역시 금정구 장전동 40번지부산광역시 금정구 부산대학로63번길 2 (장전동, 부산대학교 엔씨백화점)46241파코라반 복합관20180706163853I2018-08-31 23:59:59.0<NA>389314.662086194669.898822<NA><NA><NA><NA><NA>
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92699270의료기기판매(임대)업01_02_03_P3330000PHMG12011333002404700005320111130<NA>3폐업3폐업20140714<NA><NA><NA><NA><NA>612011부산광역시 해운대구 중1동 1394번지 161호 3층부산광역시 해운대구 중동1로 36 (중동)612011혜당메디칼20140714162721I2018-08-31 23:59:59.0<NA>397006.389856186941.148663<NA><NA><NA><NA><NA>
81078108의료기기판매(임대)업01_02_03_P3380000PHMG12007338002304700000920070406<NA>3폐업3폐업20110726<NA><NA><NA><NA><NA>613808부산광역시 수영구 광안1동 533-17부산광역시 수영구 광일로43번길 31 (광안동)613808백세의료기20140108112158I2018-08-31 23:59:59.0<NA>392094.055023186708.028401<NA><NA><NA><NA><NA>
13131314의료기기판매(임대)업01_02_03_P3300000PHMG11990330002404700000119901108<NA>1영업/정상13영업중<NA><NA><NA><NA>555-5777<NA>607823부산광역시 동래구 수안동 221번지부산광역시 동래구 충렬대로 229, 2층 (수안동)47814독일보청기20140610133212I2018-08-31 23:59:59.0<NA>389765.123432191164.354975<NA><NA><NA><NA><NA>
78857886의료기기판매(임대)업01_02_03_P3380000PHMG12008338002304700000420080410<NA>3폐업3폐업20110726<NA><NA><NA>051-757-8844<NA>613822부산광역시 수영구 망미1동 425-12부산광역시 수영구 연수로 343 (망미동)613822하이프라자 수영점20140108105829I2018-08-31 23:59:59.0<NA>391990.137159187880.452128<NA><NA><NA><NA><NA>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
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45154516의료기기판매(임대)업01_02_03_P3390000PHMG12014339002304700004420141114<NA>3폐업3폐업20210420<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 사상로223번길 54 (괘법동)46962씨유사상온천점20210420144554U2021-04-23 02:40:00.0<NA>380353.526387186890.61999<NA><NA><NA><NA><NA>
827828의료기기판매(임대)업01_02_03_P3300000PHMG12018330002404700005420181025<NA>3폐업3폐업20210125<NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 27번지 55호부산광역시 동래구 사직북로47번길 8-2 (사직동)47860건강36520210125134033U2021-01-27 02:40:00.0<NA>387976.678996191159.45389<NA><NA><NA><NA><NA>
93519352의료기기판매(임대)업01_02_03_P3330000PHMG12014333002404700011520141117<NA>3폐업3폐업20161230<NA><NA><NA><NA><NA>612769부산광역시 해운대구 우동부산광역시 해운대구 해운대로 284, 105호 (우동)48059CU새한센시빌점20161230154650I2018-08-31 23:59:59.0<NA>393967.197053188310.416724<NA><NA><NA><NA><NA>
630631의료기기판매(임대)업01_02_03_P3300000PHMG12013330002404700004520130702<NA>3폐업3폐업20150806<NA><NA><NA>754-0028<NA>607843부산광역시 동래구 온천3동 1459번지 3호 2층부산광역시 동래구 충렬대로108번길 89, 2층 (온천동)47825바이오세라메디컬20150806171256I2018-08-31 23:59:59.0<NA>388781.314908191261.743963<NA><NA><NA><NA><NA>
27092710의료기기판매(임대)업01_02_03_P3290000PHMG12003329002404700001720031218<NA>3폐업3폐업20151104<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 복지로 65, 1층 (개금동)47388AHCC마트20151106172751I2018-08-31 23:59:59.0<NA>384038.493393185005.16114<NA><NA><NA><NA><NA>
56945695의료기기판매(임대)업01_02_03_P3270000PHMG12019327002204700001620181231<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 범일동 330번지 207호부산광역시 동구 자성로108번길 6 (범일동)48748덴탈I.Q20190528170504I2019-05-30 02:20:58.0<NA>387959.684896183794.767258<NA><NA><NA><NA><NA>
85228523의료기기판매(임대)업01_02_03_P3320000PHMG12011332004504700001020110616<NA>3폐업3폐업20130130<NA><NA><NA>051-342-3509<NA>616822부산광역시 북구 덕천3동 429번지 41호 1층부산광역시 북구 의성로121번길 22 (덕천동)616822소망의료기20130227172005I2018-08-31 23:59:59.0<NA>383177.941728191928.824318<NA><NA><NA><NA><NA>
31743175의료기기판매(임대)업01_02_03_P3290000PHMG12015329002404700009220151113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 서전로58번길 80 (전포동)47305삼성메디텍20151113101921I2018-08-31 23:59:59.0<NA>388188.232508185846.44116<NA><NA><NA><NA><NA>
40644065의료기기판매(임대)업01_02_03_P3310000PHMG12019331002404700002220190524<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 용당동 99-10 현대아이파크부산광역시 남구 동명로 26, 현대아이파크 108(상가)동 202호 (용당동)48559라이프헬스케어20200804132438U2020-08-06 02:40:00.0<NA>391160.721123182369.099438<NA><NA><NA><NA><NA>