Overview

Dataset statistics

Number of variables33
Number of observations252
Missing cells2640
Missing cells (%)31.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.0 KiB
Average record size in memory284.5 B

Variable types

Numeric9
Categorical9
Text6
Unsupported7
DateTime1
Boolean1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123011

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
다른 겸업 여부 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.4%)Imbalance
휴업종료일자 is highly imbalanced (94.4%)Imbalance
인허가취소일자 has 252 (100.0%) missing valuesMissing
폐업일자 has 146 (57.9%) missing valuesMissing
재개업일자 has 252 (100.0%) missing valuesMissing
소재지전화 has 45 (17.9%) missing valuesMissing
소재지면적 has 252 (100.0%) missing valuesMissing
소재지우편번호 has 114 (45.2%) missing valuesMissing
소재지전체주소 has 21 (8.3%) missing valuesMissing
도로명전체주소 has 3 (1.2%) missing valuesMissing
도로명우편번호 has 45 (17.9%) missing valuesMissing
업태구분명 has 252 (100.0%) missing valuesMissing
좌표정보(x) has 4 (1.6%) missing valuesMissing
좌표정보(y) has 4 (1.6%) missing valuesMissing
수리대상 의료기기의 유형 has 247 (98.0%) missing valuesMissing
다른 겸업 여부 has 247 (98.0%) missing valuesMissing
총규모 has 252 (100.0%) missing valuesMissing
영업규모 has 252 (100.0%) missing valuesMissing
Unnamed: 32 has 252 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
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 started2024-04-17 11:15:25.000102
Analysis finished2024-04-17 11:15:25.498065
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5
Minimum1
Maximum252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:25.554789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.55
Q163.75
median126.5
Q3189.25
95-th percentile239.45
Maximum252
Range251
Interquartile range (IQR)125.5

Descriptive statistics

Standard deviation72.890329
Coefficient of variation (CV)0.57620813
Kurtosis-1.2
Mean126.5
Median Absolute Deviation (MAD)63
Skewness0
Sum31878
Variance5313
MonotonicityStrictly increasing
2024-04-17T20:15:25.678596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
175 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
Other values (242) 242
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
의료기기수리업
252 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료기기수리업 252
100.0%

Length

2024-04-17T20:15:25.786484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:25.863936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기수리업 252
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
01_02_02_P
252 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_02_P
2nd row01_02_02_P
3rd row01_02_02_P
4th row01_02_02_P
5th row01_02_02_P

Common Values

ValueCountFrequency (%)
01_02_02_P 252
100.0%

Length

2024-04-17T20:15:25.939700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:26.013938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_02_p 252
100.0%

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3386111.1
Minimum3250000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:26.086507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13297500
median3330000
Q33360000
95-th percentile3390000
Maximum6260000
Range3010000
Interquartile range (IQR)62500

Descriptive statistics

Standard deviation411517.4
Coefficient of variation (CV)0.12153098
Kurtosis45.494856
Mean3386111.1
Median Absolute Deviation (MAD)30000
Skewness6.832601
Sum8.533 × 108
Variance1.6934657 × 1011
MonotonicityNot monotonic
2024-04-17T20:15:26.186028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3290000 34
13.5%
3300000 29
11.5%
3350000 28
11.1%
3330000 22
8.7%
3370000 21
8.3%
3390000 20
7.9%
3320000 18
7.1%
3360000 16
6.3%
3270000 14
 
5.6%
3340000 11
 
4.4%
Other values (7) 39
15.5%
ValueCountFrequency (%)
3250000 4
 
1.6%
3260000 6
 
2.4%
3270000 14
5.6%
3280000 5
 
2.0%
3290000 34
13.5%
3300000 29
11.5%
3310000 7
 
2.8%
3320000 18
7.1%
3330000 22
8.7%
3340000 11
 
4.4%
ValueCountFrequency (%)
6260000 5
 
2.0%
3400000 4
 
1.6%
3390000 20
7.9%
3380000 8
 
3.2%
3370000 21
8.3%
3360000 16
6.3%
3350000 28
11.1%
3340000 11
 
4.4%
3330000 22
8.7%
3320000 18
7.1%

관리번호
Text

UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-17T20:15:26.358518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.861111
Min length18

Characters and Unicode

Total characters6265
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

Unique252 ?
Unique (%)100.0%

Sample

1st rowPHMG320103330024047400002
2nd rowPHMG320103330024047400001
3rd rowPHMG320093330024047400001
4th rowPHMG320083330024047400002
5th rowPHMG320053330024047400003
ValueCountFrequency (%)
phmg320103330024047400002 1
 
0.4%
phmg320053350024047400001 1
 
0.4%
phmg320163390023047400003 1
 
0.4%
phmg320143360024047400001 1
 
0.4%
phmg320203350024047400001 1
 
0.4%
phmg320193350024047400001 1
 
0.4%
phmg320173350024047400003 1
 
0.4%
phmg320173350024047400002 1
 
0.4%
phmg320163350024047400001 1
 
0.4%
phmg320143350024047400002 1
 
0.4%
Other values (242) 242
96.0%
2024-04-17T20:15:26.654916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2159
34.5%
3 778
 
12.4%
4 699
 
11.2%
2 689
 
11.0%
1 333
 
5.3%
7 311
 
5.0%
P 247
 
3.9%
H 247
 
3.9%
M 247
 
3.9%
G 247
 
3.9%
Other values (4) 308
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5277
84.2%
Uppercase Letter 988
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2159
40.9%
3 778
 
14.7%
4 699
 
13.2%
2 689
 
13.1%
1 333
 
6.3%
7 311
 
5.9%
5 119
 
2.3%
9 90
 
1.7%
6 54
 
1.0%
8 45
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 247
25.0%
H 247
25.0%
M 247
25.0%
G 247
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5277
84.2%
Latin 988
 
15.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2159
40.9%
3 778
 
14.7%
4 699
 
13.2%
2 689
 
13.1%
1 333
 
6.3%
7 311
 
5.9%
5 119
 
2.3%
9 90
 
1.7%
6 54
 
1.0%
8 45
 
0.9%
Latin
ValueCountFrequency (%)
P 247
25.0%
H 247
25.0%
M 247
25.0%
G 247
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2159
34.5%
3 778
 
12.4%
4 699
 
11.2%
2 689
 
11.0%
1 333
 
5.3%
7 311
 
5.0%
P 247
 
3.9%
H 247
 
3.9%
M 247
 
3.9%
G 247
 
3.9%
Other values (4) 308
 
4.9%

인허가일자
Real number (ℝ)

Distinct218
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20125755
Minimum20041025
Maximum20210128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:26.792661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041025
5-th percentile20050129
Q120081202
median20130306
Q320170807
95-th percentile20191211
Maximum20210128
Range169103
Interquartile range (IQR)89604.5

Descriptive statistics

Standard deviation50738.062
Coefficient of variation (CV)0.0025210513
Kurtosis-1.2945068
Mean20125755
Median Absolute Deviation (MAD)40770.5
Skewness-0.16846839
Sum5.0716903 × 109
Variance2.574351 × 109
MonotonicityNot monotonic
2024-04-17T20:15:27.192328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081203 6
 
2.4%
20050607 4
 
1.6%
20041130 3
 
1.2%
20050622 3
 
1.2%
20050608 3
 
1.2%
20101008 3
 
1.2%
20070330 2
 
0.8%
20170612 2
 
0.8%
20170807 2
 
0.8%
20050620 2
 
0.8%
Other values (208) 222
88.1%
ValueCountFrequency (%)
20041025 1
 
0.4%
20041111 1
 
0.4%
20041130 3
1.2%
20050107 2
0.8%
20050113 2
0.8%
20050118 2
0.8%
20050126 1
 
0.4%
20050127 1
 
0.4%
20050131 1
 
0.4%
20050222 1
 
0.4%
ValueCountFrequency (%)
20210128 1
0.4%
20201201 1
0.4%
20201111 1
0.4%
20201022 1
0.4%
20201015 1
0.4%
20200924 1
0.4%
20200914 1
0.4%
20200420 1
0.4%
20200409 1
0.4%
20200318 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing252
Missing (%)100.0%
Memory size2.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
143 
3
106 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 143
56.7%
3 106
42.1%
2 3
 
1.2%

Length

2024-04-17T20:15:27.297766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:27.380834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 143
56.7%
3 106
42.1%
2 3
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
143 
폐업
106 
휴업
 
3

Length

Max length5
Median length5
Mean length3.702381
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 143
56.7%
폐업 106
42.1%
휴업 3
 
1.2%

Length

2024-04-17T20:15:27.475332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:27.573112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 143
56.7%
폐업 106
42.1%
휴업 3
 
1.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
138 
3
105 
1
 
5
2
 
3
24
 
1

Length

Max length2
Median length2
Mean length1.5515873
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 138
54.8%
3 105
41.7%
1 5
 
2.0%
2 3
 
1.2%
24 1
 
0.4%

Length

2024-04-17T20:15:27.671898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:27.767305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 138
54.8%
3 105
41.7%
1 5
 
2.0%
2 3
 
1.2%
24 1
 
0.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
138 
폐업
105 
정상
 
5
휴업
 
3
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.5555556
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 138
54.8%
폐업 105
41.7%
정상 5
 
2.0%
휴업 3
 
1.2%
직권폐업 1
 
0.4%

Length

2024-04-17T20:15:27.873740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:27.973265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 138
54.8%
폐업 105
41.7%
정상 5
 
2.0%
휴업 3
 
1.2%
직권폐업 1
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)94.3%
Missing146
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean20152963
Minimum20110321
Maximum20210119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:28.091251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110321
5-th percentile20110847
Q120130686
median20151120
Q320180104
95-th percentile20191216
Maximum20210119
Range99798
Interquartile range (IQR)49418.75

Descriptive statistics

Standard deviation28129.119
Coefficient of variation (CV)0.0013957808
Kurtosis-1.0579336
Mean20152963
Median Absolute Deviation (MAD)20855
Skewness0.03635427
Sum2.1362141 × 109
Variance7.9124734 × 108
MonotonicityNot monotonic
2024-04-17T20:15:28.219203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151111 2
 
0.8%
20191211 2
 
0.8%
20151116 2
 
0.8%
20110331 2
 
0.8%
20110930 2
 
0.8%
20161124 2
 
0.8%
20141229 1
 
0.4%
20111021 1
 
0.4%
20190729 1
 
0.4%
20190829 1
 
0.4%
Other values (90) 90
35.7%
(Missing) 146
57.9%
ValueCountFrequency (%)
20110321 1
0.4%
20110331 2
0.8%
20110509 1
0.4%
20110810 1
0.4%
20110825 1
0.4%
20110914 1
0.4%
20110919 1
0.4%
20110928 1
0.4%
20110929 1
0.4%
20110930 2
0.8%
ValueCountFrequency (%)
20210119 1
0.4%
20201228 1
0.4%
20201126 1
0.4%
20200331 1
0.4%
20200120 1
0.4%
20191217 1
0.4%
20191211 2
0.8%
20191205 1
0.4%
20191204 1
0.4%
20191023 1
0.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
249 
20210101
 
1
20180126
 
1
20181218
 
1

Length

Max length8
Median length4
Mean length4.047619
Min length4

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 249
98.8%
20210101 1
 
0.4%
20180126 1
 
0.4%
20181218 1
 
0.4%

Length

2024-04-17T20:15:28.342572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:28.439476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
98.8%
20210101 1
 
0.4%
20180126 1
 
0.4%
20181218 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
249 
20220101
 
1
20230125
 
1
20201219
 
1

Length

Max length8
Median length4
Mean length4.047619
Min length4

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 249
98.8%
20220101 1
 
0.4%
20230125 1
 
0.4%
20201219 1
 
0.4%

Length

2024-04-17T20:15:28.538046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:28.630981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
98.8%
20220101 1
 
0.4%
20230125 1
 
0.4%
20201219 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing252
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct194
Distinct (%)93.7%
Missing45
Missing (%)17.9%
Memory size2.1 KiB
2024-04-17T20:15:28.859179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.710145
Min length8

Characters and Unicode

Total characters2217
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)87.4%

Sample

1st row051-543-3211
2nd row051-625-8584
3rd row051-724-5228
4th row051-747-4751
5th row051-744-1205
ValueCountFrequency (%)
051-362-0095 2
 
1.0%
051-807-7784 2
 
1.0%
051-611-4696 2
 
1.0%
051-207-3329 2
 
1.0%
248-5051 2
 
1.0%
051-809-9555 2
 
1.0%
051-853-4251 2
 
1.0%
051-711-7114 2
 
1.0%
051-747-4751 2
 
1.0%
051-365-2233 2
 
1.0%
Other values (184) 187
90.3%
2024-04-17T20:15:29.212845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 329
14.8%
5 313
14.1%
0 304
13.7%
1 284
12.8%
7 165
7.4%
8 151
6.8%
2 150
6.8%
3 147
6.6%
4 145
6.5%
9 120
 
5.4%
Other values (4) 109
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1881
84.8%
Dash Punctuation 329
 
14.8%
Close Punctuation 4
 
0.2%
Math Symbol 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 313
16.6%
0 304
16.2%
1 284
15.1%
7 165
8.8%
8 151
8.0%
2 150
8.0%
3 147
7.8%
4 145
7.7%
9 120
 
6.4%
6 102
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 329
14.8%
5 313
14.1%
0 304
13.7%
1 284
12.8%
7 165
7.4%
8 151
6.8%
2 150
6.8%
3 147
6.6%
4 145
6.5%
9 120
 
5.4%
Other values (4) 109
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 329
14.8%
5 313
14.1%
0 304
13.7%
1 284
12.8%
7 165
7.4%
8 151
6.8%
2 150
6.8%
3 147
6.6%
4 145
6.5%
9 120
 
5.4%
Other values (4) 109
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing252
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)72.5%
Missing114
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean607185.53
Minimum47305
Maximum619905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:29.337905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47305
5-th percentile601834.9
Q1607835.5
median611804
Q3614854.5
95-th percentile617822.75
Maximum619905
Range572600
Interquartile range (IQR)7019

Descriptive statistics

Standard deviation48250.404
Coefficient of variation (CV)0.079465668
Kurtosis135.18797
Mean607185.53
Median Absolute Deviation (MAD)3963.5
Skewness-11.569056
Sum83791603
Variance2.3281015 × 109
MonotonicityNot monotonic
2024-04-17T20:15:29.447073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
616091 4
 
1.6%
614845 4
 
1.6%
609843 4
 
1.6%
609811 3
 
1.2%
614844 3
 
1.2%
614031 3
 
1.2%
607842 3
 
1.2%
617721 2
 
0.8%
611816 2
 
0.8%
609800 2
 
0.8%
Other values (90) 108
42.9%
(Missing) 114
45.2%
ValueCountFrequency (%)
47305 1
0.4%
600046 1
0.4%
600082 1
0.4%
601715 1
0.4%
601814 1
0.4%
601822 1
0.4%
601823 1
0.4%
601837 1
0.4%
601843 2
0.8%
602091 2
0.8%
ValueCountFrequency (%)
619905 1
0.4%
618808 1
0.4%
618803 2
0.8%
618142 1
0.4%
617844 2
0.8%
617819 1
0.4%
617815 1
0.4%
617731 2
0.8%
617721 2
0.8%
617081 1
0.4%

소재지전체주소
Text

MISSING 

Distinct221
Distinct (%)95.7%
Missing21
Missing (%)8.3%
Memory size2.1 KiB
2024-04-17T20:15:29.781887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length25.701299
Min length13

Characters and Unicode

Total characters5937
Distinct characters190
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)92.2%

Sample

1st row부산광역시 해운대구 반송2동 196번지 3호
2nd row부산광역시 해운대구 우1동 1474번지 센텀SH밸리 502호
3rd row부산광역시 해운대구 중1동 1756번지
4th row부산광역시 해운대구 우2동 1185번지 64호 (2층)
5th row부산광역시 해운대구 중1동 1313번지
ValueCountFrequency (%)
부산광역시 231
 
18.3%
부산진구 30
 
2.4%
동래구 29
 
2.3%
금정구 28
 
2.2%
연제구 22
 
1.7%
1호 22
 
1.7%
북구 19
 
1.5%
사상구 19
 
1.5%
해운대구 19
 
1.5%
2층 17
 
1.3%
Other values (447) 827
65.5%
2024-04-17T20:15:30.234181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1044
17.6%
산 295
 
5.0%
1 291
 
4.9%
부 286
 
4.8%
동 282
 
4.7%
구 240
 
4.0%
광 238
 
4.0%
시 233
 
3.9%
역 232
 
3.9%
지 224
 
3.8%
Other values (180) 2572
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3628
61.1%
Decimal Number 1239
 
20.9%
Space Separator 1044
 
17.6%
Dash Punctuation 16
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 295
 
8.1%
부 286
 
7.9%
동 282
 
7.8%
구 240
 
6.6%
광 238
 
6.6%
시 233
 
6.4%
역 232
 
6.4%
지 224
 
6.2%
호 220
 
6.1%
번 215
 
5.9%
Other values (163) 1163
32.1%
Decimal Number
ValueCountFrequency (%)
1 291
23.5%
2 213
17.2%
3 135
10.9%
5 117
9.4%
4 105
 
8.5%
6 100
 
8.1%
0 84
 
6.8%
7 68
 
5.5%
8 66
 
5.3%
9 60
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
1044
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3628
61.1%
Common 2307
38.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 295
 
8.1%
부 286
 
7.9%
동 282
 
7.8%
구 240
 
6.6%
광 238
 
6.6%
시 233
 
6.4%
역 232
 
6.4%
지 224
 
6.2%
호 220
 
6.1%
번 215
 
5.9%
Other values (163) 1163
32.1%
Common
ValueCountFrequency (%)
1044
45.3%
1 291
 
12.6%
2 213
 
9.2%
3 135
 
5.9%
5 117
 
5.1%
4 105
 
4.6%
6 100
 
4.3%
0 84
 
3.6%
7 68
 
2.9%
8 66
 
2.9%
Other values (5) 84
 
3.6%
Latin
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3628
61.1%
ASCII 2309
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1044
45.2%
1 291
 
12.6%
2 213
 
9.2%
3 135
 
5.8%
5 117
 
5.1%
4 105
 
4.5%
6 100
 
4.3%
0 84
 
3.6%
7 68
 
2.9%
8 66
 
2.9%
Other values (7) 86
 
3.7%
Hangul
ValueCountFrequency (%)
산 295
 
8.1%
부 286
 
7.9%
동 282
 
7.8%
구 240
 
6.6%
광 238
 
6.6%
시 233
 
6.4%
역 232
 
6.4%
지 224
 
6.2%
호 220
 
6.1%
번 215
 
5.9%
Other values (163) 1163
32.1%

도로명전체주소
Text

MISSING 

Distinct238
Distinct (%)95.6%
Missing3
Missing (%)1.2%
Memory size2.1 KiB
2024-04-17T20:15:30.555710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length31.11245
Min length21

Characters and Unicode

Total characters7747
Distinct characters244
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)91.6%

Sample

1st row부산광역시 해운대구 신반송로182번길 7 (반송동)
2nd row부산광역시 해운대구 센텀동로 35, 502호 (우동,센텀SH밸리)
3rd row부산광역시 해운대구 재반로 35, 2층 (재송동, 오메가메기사식당)
4th row부산광역시 해운대구 좌동로 3 (중동)
5th row부산광역시 해운대구 해운대로383번길 55 (우동,(2층))
ValueCountFrequency (%)
부산광역시 249
 
16.5%
부산진구 34
 
2.3%
2층 34
 
2.3%
중앙대로 29
 
1.9%
동래구 29
 
1.9%
1층 27
 
1.8%
금정구 27
 
1.8%
해운대구 22
 
1.5%
사상구 21
 
1.4%
연제구 21
 
1.4%
Other values (563) 1016
67.3%
2024-04-17T20:15:31.001799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1260
 
16.3%
동 339
 
4.4%
산 321
 
4.1%
부 317
 
4.1%
1 280
 
3.6%
구 261
 
3.4%
광 260
 
3.4%
시 254
 
3.3%
역 250
 
3.2%
) 249
 
3.2%
Other values (234) 3956
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4532
58.5%
Space Separator 1260
 
16.3%
Decimal Number 1215
 
15.7%
Close Punctuation 249
 
3.2%
Open Punctuation 249
 
3.2%
Other Punctuation 203
 
2.6%
Dash Punctuation 28
 
0.4%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 339
 
7.5%
산 321
 
7.1%
부 317
 
7.0%
구 261
 
5.8%
광 260
 
5.7%
시 254
 
5.6%
역 250
 
5.5%
로 246
 
5.4%
대 156
 
3.4%
층 111
 
2.4%
Other values (213) 2017
44.5%
Decimal Number
ValueCountFrequency (%)
1 280
23.0%
2 220
18.1%
3 135
11.1%
0 104
 
8.6%
5 98
 
8.1%
7 92
 
7.6%
4 88
 
7.2%
6 84
 
6.9%
9 62
 
5.1%
8 52
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
45.5%
H 2
 
18.2%
D 1
 
9.1%
G 1
 
9.1%
L 1
 
9.1%
S 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Other Punctuation
ValueCountFrequency (%)
, 203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4532
58.5%
Common 3204
41.4%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 339
 
7.5%
산 321
 
7.1%
부 317
 
7.0%
구 261
 
5.8%
광 260
 
5.7%
시 254
 
5.6%
역 250
 
5.5%
로 246
 
5.4%
대 156
 
3.4%
층 111
 
2.4%
Other values (213) 2017
44.5%
Common
ValueCountFrequency (%)
1260
39.3%
1 280
 
8.7%
) 249
 
7.8%
( 249
 
7.8%
2 220
 
6.9%
, 203
 
6.3%
3 135
 
4.2%
0 104
 
3.2%
5 98
 
3.1%
7 92
 
2.9%
Other values (5) 314
 
9.8%
Latin
ValueCountFrequency (%)
B 5
45.5%
H 2
 
18.2%
D 1
 
9.1%
G 1
 
9.1%
L 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4532
58.5%
ASCII 3215
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1260
39.2%
1 280
 
8.7%
) 249
 
7.7%
( 249
 
7.7%
2 220
 
6.8%
, 203
 
6.3%
3 135
 
4.2%
0 104
 
3.2%
5 98
 
3.0%
7 92
 
2.9%
Other values (11) 325
 
10.1%
Hangul
ValueCountFrequency (%)
동 339
 
7.5%
산 321
 
7.1%
부 317
 
7.0%
구 261
 
5.8%
광 260
 
5.7%
시 254
 
5.6%
역 250
 
5.5%
로 246
 
5.4%
대 156
 
3.4%
층 111
 
2.4%
Other values (213) 2017
44.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)81.2%
Missing45
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean123501.98
Minimum46024
Maximum618803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:31.147780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46024
5-th percentile46216.5
Q146838
median47559
Q348745.5
95-th percentile611212.9
Maximum618803
Range572779
Interquartile range (IQR)1907.5

Descriptive statistics

Standard deviation192702.36
Coefficient of variation (CV)1.5603181
Kurtosis2.6445391
Mean123501.98
Median Absolute Deviation (MAD)856
Skewness2.1489307
Sum25564909
Variance3.7134201 × 1010
MonotonicityNot monotonic
2024-04-17T20:15:31.272004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47254 4
 
1.6%
46702 4
 
1.6%
46981 3
 
1.2%
46720 3
 
1.2%
46215 3
 
1.2%
47210 2
 
0.8%
46505 2
 
0.8%
47858 2
 
0.8%
611800 2
 
0.8%
47827 2
 
0.8%
Other values (158) 180
71.4%
(Missing) 45
 
17.9%
ValueCountFrequency (%)
46024 1
 
0.4%
46063 1
 
0.4%
46070 1
 
0.4%
46073 1
 
0.4%
46201 2
0.8%
46213 1
 
0.4%
46214 1
 
0.4%
46215 3
1.2%
46220 1
 
0.4%
46222 1
 
0.4%
ValueCountFrequency (%)
618803 1
0.4%
618142 1
0.4%
617826 1
0.4%
617721 1
0.4%
616802 1
0.4%
614882 1
0.4%
614844 1
0.4%
611828 1
0.4%
611804 1
0.4%
611800 2
0.8%

사업장명
Text

Distinct235
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-17T20:15:31.468899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.5753968
Min length3

Characters and Unicode

Total characters1909
Distinct characters244
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)86.9%

Sample

1st rowMH메디칼
2nd row(주)라이트메드코리아
3rd row서비스월드
4th row엘지전자해운대서비스센터
5th row메디피아
ValueCountFrequency (%)
주식회사 10
 
3.4%
엘지전자(주 4
 
1.4%
독일보청기 3
 
1.0%
주)금강지엔피 2
 
0.7%
주 2
 
0.7%
유창의료기 2
 
0.7%
메디케어 2
 
0.7%
부산센터 2
 
0.7%
휠체어 2
 
0.7%
상대종합상사 2
 
0.7%
Other values (248) 263
89.5%
2024-04-17T20:15:31.782113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 84
 
4.4%
메 78
 
4.1%
디 78
 
4.1%
스 75
 
3.9%
( 74
 
3.9%
) 74
 
3.9%
이 55
 
2.9%
칼 43
 
2.3%
42
 
2.2%
기 36
 
1.9%
Other values (234) 1270
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1674
87.7%
Open Punctuation 74
 
3.9%
Close Punctuation 74
 
3.9%
Space Separator 42
 
2.2%
Uppercase Letter 35
 
1.8%
Lowercase Letter 6
 
0.3%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
5.0%
메 78
 
4.7%
디 78
 
4.7%
스 75
 
4.5%
이 55
 
3.3%
칼 43
 
2.6%
기 36
 
2.2%
서 35
 
2.1%
부 35
 
2.1%
비 34
 
2.0%
Other values (212) 1121
67.0%
Uppercase Letter
ValueCountFrequency (%)
L 6
17.1%
G 5
14.3%
H 4
11.4%
I 3
8.6%
K 3
8.6%
M 3
8.6%
S 2
 
5.7%
P 2
 
5.7%
A 2
 
5.7%
T 2
 
5.7%
Other values (2) 3
8.6%
Lowercase Letter
ValueCountFrequency (%)
c 2
33.3%
e 2
33.3%
n 1
16.7%
i 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
/ 1
25.0%
· 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1674
87.7%
Common 194
 
10.2%
Latin 41
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
5.0%
메 78
 
4.7%
디 78
 
4.7%
스 75
 
4.5%
이 55
 
3.3%
칼 43
 
2.6%
기 36
 
2.2%
서 35
 
2.1%
부 35
 
2.1%
비 34
 
2.0%
Other values (212) 1121
67.0%
Latin
ValueCountFrequency (%)
L 6
14.6%
G 5
12.2%
H 4
9.8%
I 3
 
7.3%
K 3
 
7.3%
M 3
 
7.3%
c 2
 
4.9%
e 2
 
4.9%
S 2
 
4.9%
P 2
 
4.9%
Other values (6) 9
22.0%
Common
ValueCountFrequency (%)
( 74
38.1%
) 74
38.1%
42
21.6%
& 2
 
1.0%
/ 1
 
0.5%
· 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1674
87.7%
ASCII 234
 
12.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 84
 
5.0%
메 78
 
4.7%
디 78
 
4.7%
스 75
 
4.5%
이 55
 
3.3%
칼 43
 
2.6%
기 36
 
2.2%
서 35
 
2.1%
부 35
 
2.1%
비 34
 
2.0%
Other values (212) 1121
67.0%
ASCII
ValueCountFrequency (%)
( 74
31.6%
) 74
31.6%
42
17.9%
L 6
 
2.6%
G 5
 
2.1%
H 4
 
1.7%
I 3
 
1.3%
K 3
 
1.3%
M 3
 
1.3%
c 2
 
0.9%
Other values (11) 18
 
7.7%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0164475 × 1013
Minimum2.0110401 × 1013
Maximum2.0210128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:31.911980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110401 × 1013
5-th percentile2.0111006 × 1013
Q12.0141159 × 1013
median2.0170359 × 1013
Q32.0190725 × 1013
95-th percentile2.0201215 × 1013
Maximum2.0210128 × 1013
Range9.9727049 × 1010
Interquartile range (IQR)4.9565713 × 1010

Descriptive statistics

Standard deviation2.883252 × 1010
Coefficient of variation (CV)0.0014298671
Kurtosis-1.0576995
Mean2.0164475 × 1013
Median Absolute Deviation (MAD)2.0554469 × 1010
Skewness-0.3664253
Sum5.0814478 × 1015
Variance8.3131419 × 1020
MonotonicityNot monotonic
2024-04-17T20:15:32.031877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151203143745 1
 
0.4%
20200213101347 1
 
0.4%
20200701142322 1
 
0.4%
20190724090330 1
 
0.4%
20180111090627 1
 
0.4%
20170613111652 1
 
0.4%
20161025093212 1
 
0.4%
20140729135110 1
 
0.4%
20140206144443 1
 
0.4%
20120824162025 1
 
0.4%
Other values (242) 242
96.0%
ValueCountFrequency (%)
20110401101940 1
0.4%
20110509165418 1
0.4%
20110811092340 1
0.4%
20110829110524 1
0.4%
20110919164532 1
0.4%
20110928132048 1
0.4%
20110930113852 1
0.4%
20110930115543 1
0.4%
20110930174722 1
0.4%
20110930182459 1
0.4%
ValueCountFrequency (%)
20210128151329 1
0.4%
20210125094917 1
0.4%
20210119143400 1
0.4%
20210110152719 1
0.4%
20210104130432 1
0.4%
20201230085802 1
0.4%
20201217152952 1
0.4%
20201215194453 1
0.4%
20201215194409 1
0.4%
20201215194321 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
190 
U
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 190
75.4%
U 62
 
24.6%

Length

2024-04-17T20:15:32.145432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:32.226021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 190
75.4%
u 62
 
24.6%

데이터갱신일자
Date

Distinct86
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-30 00:23:03
2024-04-17T20:15:32.314934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:15:32.442592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing252
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct219
Distinct (%)88.3%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean387133.17
Minimum343658.96
Maximum401741.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:32.563854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum343658.96
5-th percentile379666.95
Q1383466.08
median387982.65
Q3390181.95
95-th percentile396234.66
Maximum401741.22
Range58082.251
Interquartile range (IQR)6715.87

Descriptive statistics

Standard deviation5768.2472
Coefficient of variation (CV)0.014899904
Kurtosis12.4101
Mean387133.17
Median Absolute Deviation (MAD)2792.4728
Skewness-1.6777471
Sum96009027
Variance33272676
MonotonicityNot monotonic
2024-04-17T20:15:32.683336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378271.525532072 3
 
1.2%
383808.20933417 3
 
1.2%
380482.767624189 3
 
1.2%
380909.178507556 3
 
1.2%
387869.134317928 3
 
1.2%
388448.49768133 2
 
0.8%
388476.561400337 2
 
0.8%
388341.692105634 2
 
0.8%
389167.858983407 2
 
0.8%
389111.533008708 2
 
0.8%
Other values (209) 223
88.5%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
343658.963968 1
 
0.4%
371385.405359398 1
 
0.4%
371541.0 1
 
0.4%
377315.452335735 1
 
0.4%
377324.30851959 1
 
0.4%
377858.545921754 1
 
0.4%
378271.525532072 3
1.2%
378522.007200069 2
0.8%
379075.879760915 1
 
0.4%
379664.566257358 1
 
0.4%
ValueCountFrequency (%)
401741.215395072 1
0.4%
401425.970260668 1
0.4%
400619.642765657 1
0.4%
400599.91331495 1
0.4%
399151.0 1
0.4%
398155.660814985 1
0.4%
397905.177284475 1
0.4%
397553.907699438 1
0.4%
397518.595862562 1
0.4%
397461.534125954 1
0.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct219
Distinct (%)88.3%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean188904.92
Minimum174209.67
Maximum264477.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-17T20:15:32.812176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174209.67
5-th percentile179534.41
Q1185715.39
median188595.78
Q3191797.67
95-th percentile198133.21
Maximum264477.43
Range90267.763
Interquartile range (IQR)6082.2799

Descriptive statistics

Standard deviation7276.2806
Coefficient of variation (CV)0.038518217
Kurtosis46.190319
Mean188904.92
Median Absolute Deviation (MAD)3040.1918
Skewness4.4814058
Sum46848420
Variance52944259
MonotonicityNot monotonic
2024-04-17T20:15:32.939811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187855.688242439 3
 
1.2%
180704.319129777 3
 
1.2%
185582.274947583 3
 
1.2%
185739.851127297 3
 
1.2%
186381.28184674 3
 
1.2%
191752.934052972 2
 
0.8%
191123.66159006 2
 
0.8%
188369.298059009 2
 
0.8%
189904.80218725 2
 
0.8%
192054.950576153 2
 
0.8%
Other values (209) 223
88.5%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
174209.665999624 1
0.4%
175918.010468038 1
0.4%
176034.714602898 1
0.4%
176666.243983063 2
0.8%
176876.426685795 1
0.4%
177375.979465515 1
0.4%
177393.099628498 1
0.4%
178075.604321826 1
0.4%
178219.211546536 1
0.4%
178352.790325363 1
0.4%
ValueCountFrequency (%)
264477.429047 1
0.4%
205043.0 1
0.4%
199498.092856905 2
0.8%
199378.846451463 1
0.4%
199349.001778398 1
0.4%
198522.317442485 1
0.4%
198438.221631388 1
0.4%
198389.90766378 2
0.8%
198372.358377528 1
0.4%
198302.995889616 1
0.4%

수리대상 의료기기의 유형
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing247
Missing (%)98.0%
Memory size2.1 KiB
2024-04-17T20:15:33.080301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length14.6
Min length5

Characters and Unicode

Total characters73
Distinct characters29
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row환자운반차
2nd row의료용물질생성기, 정형용기기, 체온측정용기구, 생체현상측정기기
3rd row마취기, 심혈관용기계기구, 생체현상측정기기
4th row환자 운반차
5th row환자운반차
ValueCountFrequency (%)
환자운반차 2
18.2%
생체현상측정기기 2
18.2%
의료용물질생성기 1
9.1%
정형용기기 1
9.1%
체온측정용기구 1
9.1%
마취기 1
9.1%
심혈관용기계기구 1
9.1%
환자 1
9.1%
운반차 1
9.1%
2024-04-17T20:15:33.334675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 11
 
15.1%
6
 
8.2%
, 5
 
6.8%
정 4
 
5.5%
용 4
 
5.5%
생 3
 
4.1%
측 3
 
4.1%
체 3
 
4.1%
자 3
 
4.1%
환 3
 
4.1%
Other values (19) 28
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
84.9%
Space Separator 6
 
8.2%
Other Punctuation 5
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 11
17.7%
정 4
 
6.5%
용 4
 
6.5%
생 3
 
4.8%
측 3
 
4.8%
체 3
 
4.8%
자 3
 
4.8%
환 3
 
4.8%
운 3
 
4.8%
차 3
 
4.8%
Other values (17) 22
35.5%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
84.9%
Common 11
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 11
17.7%
정 4
 
6.5%
용 4
 
6.5%
생 3
 
4.8%
측 3
 
4.8%
체 3
 
4.8%
자 3
 
4.8%
환 3
 
4.8%
운 3
 
4.8%
차 3
 
4.8%
Other values (17) 22
35.5%
Common
ValueCountFrequency (%)
6
54.5%
, 5
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
84.9%
ASCII 11
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 11
17.7%
정 4
 
6.5%
용 4
 
6.5%
생 3
 
4.8%
측 3
 
4.8%
체 3
 
4.8%
자 3
 
4.8%
환 3
 
4.8%
운 3
 
4.8%
차 3
 
4.8%
Other values (17) 22
35.5%
ASCII
ValueCountFrequency (%)
6
54.5%
, 5
45.5%

다른 겸업 여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)20.0%
Missing247
Missing (%)98.0%
Memory size636.0 B
True
 
5
(Missing)
247 
ValueCountFrequency (%)
True 5
 
2.0%
(Missing) 247
98.0%
2024-04-17T20:15:33.422168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing252
Missing (%)100.0%
Memory size2.3 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing252
Missing (%)100.0%
Memory size2.3 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing252
Missing (%)100.0%
Memory size2.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
01의료기기수리업01_02_02_P3330000PHMG32010333002404740000220100329<NA>3폐업3폐업20130218<NA><NA><NA>051-543-3211<NA>612082부산광역시 해운대구 반송2동 196번지 3호부산광역시 해운대구 신반송로182번길 7 (반송동)<NA>MH메디칼20151203143745I2018-10-11 15:46:28.0<NA>396619.454157194391.327298<NA><NA><NA><NA><NA>
12의료기기수리업01_02_02_P3330000PHMG32010333002404740000120100222<NA>3폐업3폐업20181228<NA><NA><NA>051-625-8584<NA>612021부산광역시 해운대구 우1동 1474번지 센텀SH밸리 502호부산광역시 해운대구 센텀동로 35, 502호 (우동,센텀SH밸리)<NA>(주)라이트메드코리아20181228164740U2018-12-30 02:40:00.0<NA>394067.607348188000.240488<NA><NA><NA><NA><NA>
23의료기기수리업01_02_02_P3330000PHMG32009333002404740000120090323<NA>3폐업3폐업20161124<NA><NA><NA>051-724-5228<NA><NA><NA>부산광역시 해운대구 재반로 35, 2층 (재송동, 오메가메기사식당)48056서비스월드20161124135243I2018-10-11 15:46:28.0<NA>393625.595376189024.420431<NA><NA><NA><NA><NA>
34의료기기수리업01_02_02_P3330000PHMG32008333002404740000220081203<NA>3폐업3폐업20151201<NA><NA><NA>051-747-4751<NA>612011부산광역시 해운대구 중1동 1756번지부산광역시 해운대구 좌동로 3 (중동)<NA>엘지전자해운대서비스센터20151201110310I2018-10-11 15:46:28.0<NA>397461.534126187491.273602<NA><NA><NA><NA><NA>
45의료기기수리업01_02_02_P3330000PHMG32005333002404740000320051027<NA>3폐업3폐업20110930<NA><NA><NA><NA><NA>612022부산광역시 해운대구 우2동 1185번지 64호 (2층)부산광역시 해운대구 해운대로383번길 55 (우동,(2층))<NA>메디피아20110930174722I2018-10-11 15:46:28.0<NA>394833.880935187908.161664<NA><NA><NA><NA><NA>
56의료기기수리업01_02_02_P3330000PHMG32005333002404740000220050622<NA>3폐업3폐업20161124<NA><NA><NA>051-744-1205<NA><NA><NA>부산광역시 해운대구 재반로 35, 2층 (재송동, 오메가메기사식당)48056세라젬의료기서비스부산동부20161124135309I2018-10-11 15:46:28.0<NA>393625.595376189024.420431<NA><NA><NA><NA><NA>
67의료기기수리업01_02_02_P3330000PHMG32005333002404740000120050725<NA>3폐업3폐업20110825<NA><NA><NA><NA><NA>612011부산광역시 해운대구 중1동 1313번지<NA><NA>수정냉열20110829110524I2018-10-11 15:46:28.0<NA><NA><NA><NA><NA><NA><NA><NA>
78의료기기수리업01_02_02_P3320000PHMG32011332004504740000120110323<NA>3폐업3폐업20161114<NA><NA><NA>051-365-2233<NA>616834부산광역시 북구 화명2동 374번지부산광역시 북구 산성로48번길 7 (화명동)46529대성홈케어20161114173753I2018-10-11 15:46:28.0<NA>383678.080213195323.306798<NA><NA><NA><NA><NA>
89의료기기수리업01_02_02_P3320000PHMG32010332004504740000220101008<NA>3폐업3폐업20201126<NA><NA><NA>337-5573<NA>616091부산광역시 북구 구포1동 1073번지 8호부산광역시 북구 낙동대로 1626 (구포동)46503라인메디칼20201127091816U2020-11-29 02:40:00.0<NA>381353.776452190890.059364<NA><NA><NA><NA><NA>
910의료기기수리업01_02_02_P3320000PHMG32009332004504740000320090911<NA>3폐업3폐업20110930<NA><NA><NA>441-9441<NA>616091부산광역시 북구 구포1동 1123번지 3호부산광역시 북구 사상로 590 (구포동)<NA>유니메디테크20110930182459I2018-10-11 15:46:28.0<NA>381254.774428190433.736571<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
242243의료기기수리업01_02_02_P3300000PHMG32011330002404740000220150204<NA>1영업/정상13영업중<NA><NA><NA><NA>051-552-5235<NA>607061부산광역시 동래구 온천동 724번지 2호부산광역시 동래구 충렬대로107번길 29 (온천동)47731눈빛안경/다들림보청기20150204151406I2018-10-11 15:46:28.0<NA>388666.144127191857.857305<NA><NA><NA><NA><NA>
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246247의료기기수리업01_02_02_P3300000PHMG32005330002404740000320050113<NA>1영업/정상13영업중<NA><NA><NA><NA>527-0636<NA>607810부산광역시 동래구 명장1동 151번지 13호부산광역시 동래구 명장로80번길 7 (명장동)<NA>이화엑스레이기기20111004141522I2018-10-11 15:46:28.0<NA>392012.88044191375.547008<NA><NA><NA><NA><NA>
247248의료기기수리업01_02_02_P3300000PHMG32005330002404740000220050113<NA>1영업/정상13영업중<NA><NA><NA><NA>506-6800<NA>607813부산광역시 동래구 사직3동 147번지 8호 2층부산광역시 동래구 여고로127번길 41 (사직동,2층)<NA>에이에스덴탈20111004141202I2018-10-11 15:46:28.0<NA>388962.746424191032.022925<NA><NA><NA><NA><NA>
248249의료기기수리업01_02_02_P3300000PHMG32004330002404740000120041025<NA>1영업/정상13영업중<NA><NA><NA><NA>051-503-9389<NA>607813부산광역시 동래구 사직3동 143번지 45호부산광역시 동래구 중앙대로1277번길 30 (사직동)<NA>신광의료기기20110930115543I2018-10-11 15:46:28.0<NA>389005.963024191073.736446<NA><NA><NA><NA><NA>
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