Overview

Dataset statistics

Number of variables33
Number of observations254
Missing cells2664
Missing cells (%)31.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.6 KiB
Average record size in memory284.5 B

Variable types

Numeric9
Categorical9
Text6
Unsupported7
DateTime1
Boolean1

Dataset

Description2021-04-01
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 254 (100.0%) missing valuesMissing
폐업일자 has 148 (58.3%) missing valuesMissing
재개업일자 has 254 (100.0%) missing valuesMissing
소재지전화 has 46 (18.1%) missing valuesMissing
소재지면적 has 254 (100.0%) missing valuesMissing
소재지우편번호 has 116 (45.7%) missing valuesMissing
소재지전체주소 has 22 (8.7%) missing valuesMissing
도로명전체주소 has 3 (1.2%) missing valuesMissing
도로명우편번호 has 45 (17.7%) missing valuesMissing
업태구분명 has 254 (100.0%) missing valuesMissing
좌표정보(x) has 4 (1.6%) missing valuesMissing
좌표정보(y) has 4 (1.6%) missing valuesMissing
수리대상 의료기기의 유형 has 249 (98.0%) missing valuesMissing
다른 겸업 여부 has 249 (98.0%) missing valuesMissing
총규모 has 254 (100.0%) missing valuesMissing
영업규모 has 254 (100.0%) missing valuesMissing
Unnamed: 32 has 254 (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 11:15:05.400927
Analysis finished2024-04-17 11:15:05.930636
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.5
Minimum1
Maximum254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:06.001867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.65
Q164.25
median127.5
Q3190.75
95-th percentile241.35
Maximum254
Range253
Interquartile range (IQR)126.5

Descriptive statistics

Standard deviation73.46768
Coefficient of variation (CV)0.5762171
Kurtosis-1.2
Mean127.5
Median Absolute Deviation (MAD)63.5
Skewness0
Sum32385
Variance5397.5
MonotonicityStrictly increasing
2024-04-17T20:15:06.127551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
176 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%
170 1
 
0.4%
Other values (244) 244
96.1%
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 (%)
254 1
0.4%
253 1
0.4%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
의료기기수리업
254 

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 254
100.0%

Length

2024-04-17T20:15:06.233953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:06.313284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기수리업 254
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
01_02_02_P
254 

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 254
100.0%

Length

2024-04-17T20:15:06.393137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:06.475136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_02_p 254
100.0%

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3385590.6
Minimum3250000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:06.550707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13300000
median3330000
Q33360000
95-th percentile3390000
Maximum6260000
Range3010000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation409933.29
Coefficient of variation (CV)0.12108177
Kurtosis45.886215
Mean3385590.6
Median Absolute Deviation (MAD)30000
Skewness6.8608414
Sum8.5994 × 108
Variance1.680453 × 1011
MonotonicityNot monotonic
2024-04-17T20:15:06.642111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3290000 34
13.4%
3300000 30
11.8%
3350000 28
11.0%
3330000 22
8.7%
3370000 21
8.3%
3390000 20
7.9%
3320000 18
7.1%
3360000 16
6.3%
3270000 14
 
5.5%
3340000 12
 
4.7%
Other values (7) 39
15.4%
ValueCountFrequency (%)
3250000 4
 
1.6%
3260000 6
 
2.4%
3270000 14
5.5%
3280000 5
 
2.0%
3290000 34
13.4%
3300000 30
11.8%
3310000 7
 
2.8%
3320000 18
7.1%
3330000 22
8.7%
3340000 12
 
4.7%
ValueCountFrequency (%)
6260000 5
 
2.0%
3400000 4
 
1.6%
3390000 20
7.9%
3380000 8
 
3.1%
3370000 21
8.3%
3360000 16
6.3%
3350000 28
11.0%
3340000 12
4.7%
3330000 22
8.7%
3320000 18
7.1%

관리번호
Text

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-17T20:15:06.832510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.862205
Min length18

Characters and Unicode

Total characters6315
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

Unique254 ?
Unique (%)100.0%

Sample

1st rowPHMG320053330024047400003
2nd rowPHMG320103330024047400002
3rd rowPHMG320103330024047400001
4th rowPHMG320093330024047400001
5th rowPHMG320083330024047400002
ValueCountFrequency (%)
phmg320053330024047400003 1
 
0.4%
phmg320193350024047400001 1
 
0.4%
phmg320163270022047400001 1
 
0.4%
phmg320193360024047400001 1
 
0.4%
phmg320173350024047400003 1
 
0.4%
phmg320173350024047400002 1
 
0.4%
phmg320163350024047400001 1
 
0.4%
phmg320143350024047400002 1
 
0.4%
phmg320143350024047400001 1
 
0.4%
phmg320123350024047400003 1
 
0.4%
Other values (244) 244
96.1%
2024-04-17T20:15:07.133580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2176
34.5%
3 784
 
12.4%
4 705
 
11.2%
2 695
 
11.0%
1 337
 
5.3%
7 313
 
5.0%
P 249
 
3.9%
H 249
 
3.9%
M 249
 
3.9%
G 249
 
3.9%
Other values (4) 309
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5319
84.2%
Uppercase Letter 996
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2176
40.9%
3 784
 
14.7%
4 705
 
13.3%
2 695
 
13.1%
1 337
 
6.3%
7 313
 
5.9%
5 120
 
2.3%
9 90
 
1.7%
6 54
 
1.0%
8 45
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 249
25.0%
H 249
25.0%
M 249
25.0%
G 249
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5319
84.2%
Latin 996
 
15.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2176
40.9%
3 784
 
14.7%
4 705
 
13.3%
2 695
 
13.1%
1 337
 
6.3%
7 313
 
5.9%
5 120
 
2.3%
9 90
 
1.7%
6 54
 
1.0%
8 45
 
0.8%
Latin
ValueCountFrequency (%)
P 249
25.0%
H 249
25.0%
M 249
25.0%
G 249
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6315
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2176
34.5%
3 784
 
12.4%
4 705
 
11.2%
2 695
 
11.0%
1 337
 
5.3%
7 313
 
5.0%
P 249
 
3.9%
H 249
 
3.9%
M 249
 
3.9%
G 249
 
3.9%
Other values (4) 309
 
4.9%

인허가일자
Real number (ℝ)

Distinct220
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126420
Minimum20041025
Maximum20210224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:07.261148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041025
5-th percentile20050130
Q120081203
median20130408
Q320170820
95-th percentile20194371
Maximum20210224
Range169199
Interquartile range (IQR)89616.75

Descriptive statistics

Standard deviation51087.72
Coefficient of variation (CV)0.0025383411
Kurtosis-1.2868409
Mean20126420
Median Absolute Deviation (MAD)40759.5
Skewness-0.16707469
Sum5.1121108 × 109
Variance2.6099551 × 109
MonotonicityNot monotonic
2024-04-17T20:15:07.389163image/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%
20050608 3
 
1.2%
20050622 3
 
1.2%
20101008 3
 
1.2%
20190724 2
 
0.8%
20190624 2
 
0.8%
20110128 2
 
0.8%
20170612 2
 
0.8%
Other values (210) 224
88.2%
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 (%)
20210224 1
0.4%
20210218 1
0.4%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
145 
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 (%)
1 145
57.1%
3 106
41.7%
2 3
 
1.2%

Length

2024-04-17T20:15:07.503724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:07.595078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 145
57.1%
3 106
41.7%
2 3
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
145 
폐업
106 
휴업
 
3

Length

Max length5
Median length5
Mean length3.7125984
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 145
57.1%
폐업 106
41.7%
휴업 3
 
1.2%

Length

2024-04-17T20:15:07.693605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:07.784013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 145
57.1%
폐업 106
41.7%
휴업 3
 
1.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
140 
3
105 
1
 
5
2
 
3
24
 
1

Length

Max length2
Median length2
Mean length1.5551181
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 140
55.1%
3 105
41.3%
1 5
 
2.0%
2 3
 
1.2%
24 1
 
0.4%

Length

2024-04-17T20:15:07.873823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:07.970012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 140
55.1%
3 105
41.3%
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
140 
폐업
105 
정상
 
5
휴업
 
3
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.5590551
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 140
55.1%
폐업 105
41.3%
정상 5
 
2.0%
휴업 3
 
1.2%
직권폐업 1
 
0.4%

Length

2024-04-17T20:15:08.080060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:08.188750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 140
55.1%
폐업 105
41.3%
정상 5
 
2.0%
휴업 3
 
1.2%
직권폐업 1
 
0.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)94.3%
Missing148
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean20152963
Minimum20110321
Maximum20210119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:08.299542image/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
2024-04-17T20:15:08.423773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151116 2
 
0.8%
20151111 2
 
0.8%
20110331 2
 
0.8%
20191211 2
 
0.8%
20110930 2
 
0.8%
20161124 2
 
0.8%
20110321 1
 
0.4%
20190423 1
 
0.4%
20190729 1
 
0.4%
20190829 1
 
0.4%
Other values (90) 90
35.4%
(Missing) 148
58.3%
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>
251 
20210101
 
1
20180126
 
1
20181218
 
1

Length

Max length8
Median length4
Mean length4.0472441
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> 251
98.8%
20210101 1
 
0.4%
20180126 1
 
0.4%
20181218 1
 
0.4%

Length

2024-04-17T20:15:08.542784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:08.638739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 251
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>
251 
20220101
 
1
20230125
 
1
20201219
 
1

Length

Max length8
Median length4
Mean length4.0472441
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> 251
98.8%
20220101 1
 
0.4%
20230125 1
 
0.4%
20201219 1
 
0.4%

Length

2024-04-17T20:15:08.742167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:08.840329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 251
98.8%
20220101 1
 
0.4%
20230125 1
 
0.4%
20201219 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

소재지전화
Text

MISSING 

Distinct195
Distinct (%)93.8%
Missing46
Missing (%)18.1%
Memory size2.1 KiB
2024-04-17T20:15:09.080047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.716346
Min length8

Characters and Unicode

Total characters2229
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

Unique182 ?
Unique (%)87.5%

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%
051-711-7114 2
 
1.0%
051-611-4696 2
 
1.0%
051-853-4251 2
 
1.0%
248-5051 2
 
1.0%
051-807-7784 2
 
1.0%
051-809-9555 2
 
1.0%
051-365-2233 2
 
1.0%
051-507-5107 2
 
1.0%
051-207-3329 2
 
1.0%
Other values (185) 188
90.4%
2024-04-17T20:15:09.451253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 331
14.8%
5 314
14.1%
0 305
13.7%
1 285
12.8%
7 166
7.4%
2 151
6.8%
8 151
6.8%
3 148
6.6%
4 145
6.5%
9 121
 
5.4%
Other values (4) 112
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1891
84.8%
Dash Punctuation 331
 
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 (%)
5 314
16.6%
0 305
16.1%
1 285
15.1%
7 166
8.8%
2 151
8.0%
8 151
8.0%
3 148
7.8%
4 145
7.7%
9 121
 
6.4%
6 105
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 331
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 2229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 331
14.8%
5 314
14.1%
0 305
13.7%
1 285
12.8%
7 166
7.4%
2 151
6.8%
8 151
6.8%
3 148
6.6%
4 145
6.5%
9 121
 
5.4%
Other values (4) 112
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 331
14.8%
5 314
14.1%
0 305
13.7%
1 285
12.8%
7 166
7.4%
2 151
6.8%
8 151
6.8%
3 148
6.6%
4 145
6.5%
9 121
 
5.4%
Other values (4) 112
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)72.5%
Missing116
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean607185.53
Minimum47305
Maximum619905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:09.573726image/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
2024-04-17T20:15:09.699844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614845 4
 
1.6%
616091 4
 
1.6%
609843 4
 
1.6%
614844 3
 
1.2%
614031 3
 
1.2%
607842 3
 
1.2%
609811 3
 
1.2%
602091 2
 
0.8%
609800 2
 
0.8%
609803 2
 
0.8%
Other values (90) 108
42.5%
(Missing) 116
45.7%
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 

Distinct222
Distinct (%)95.7%
Missing22
Missing (%)8.7%
Memory size2.1 KiB
2024-04-17T20:15:09.999883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length25.676724
Min length13

Characters and Unicode

Total characters5957
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

Unique214 ?
Unique (%)92.2%

Sample

1st row부산광역시 해운대구 우2동 1185번지 64호 (2층)
2nd row부산광역시 해운대구 반송2동 196번지 3호
3rd row부산광역시 해운대구 우1동 1474번지 센텀SH밸리 502호
4th row부산광역시 해운대구 중1동 1756번지
5th row부산광역시 해운대구 중1동 1313번지
ValueCountFrequency (%)
부산광역시 232
 
18.3%
동래구 30
 
2.4%
부산진구 30
 
2.4%
금정구 28
 
2.2%
연제구 22
 
1.7%
1호 22
 
1.7%
사상구 19
 
1.5%
북구 19
 
1.5%
해운대구 19
 
1.5%
2층 17
 
1.3%
Other values (448) 829
65.4%
2024-04-17T20:15:10.463929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1047
17.6%
산 296
 
5.0%
1 293
 
4.9%
부 287
 
4.8%
동 284
 
4.8%
구 241
 
4.0%
광 239
 
4.0%
시 234
 
3.9%
역 233
 
3.9%
지 223
 
3.7%
Other values (180) 2580
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3637
61.1%
Decimal Number 1245
 
20.9%
Space Separator 1047
 
17.6%
Dash Punctuation 18
 
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 296
 
8.1%
부 287
 
7.9%
동 284
 
7.8%
구 241
 
6.6%
광 239
 
6.6%
시 234
 
6.4%
역 233
 
6.4%
지 223
 
6.1%
호 220
 
6.0%
번 214
 
5.9%
Other values (163) 1166
32.1%
Decimal Number
ValueCountFrequency (%)
1 293
23.5%
2 214
17.2%
3 137
11.0%
5 118
9.5%
4 105
 
8.4%
6 100
 
8.0%
0 84
 
6.7%
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 (%)
1047
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
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 3637
61.1%
Common 2318
38.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 296
 
8.1%
부 287
 
7.9%
동 284
 
7.8%
구 241
 
6.6%
광 239
 
6.6%
시 234
 
6.4%
역 233
 
6.4%
지 223
 
6.1%
호 220
 
6.0%
번 214
 
5.9%
Other values (163) 1166
32.1%
Common
ValueCountFrequency (%)
1047
45.2%
1 293
 
12.6%
2 214
 
9.2%
3 137
 
5.9%
5 118
 
5.1%
4 105
 
4.5%
6 100
 
4.3%
0 84
 
3.6%
7 68
 
2.9%
8 66
 
2.8%
Other values (5) 86
 
3.7%
Latin
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3637
61.1%
ASCII 2320
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1047
45.1%
1 293
 
12.6%
2 214
 
9.2%
3 137
 
5.9%
5 118
 
5.1%
4 105
 
4.5%
6 100
 
4.3%
0 84
 
3.6%
7 68
 
2.9%
8 66
 
2.8%
Other values (7) 88
 
3.8%
Hangul
ValueCountFrequency (%)
산 296
 
8.1%
부 287
 
7.9%
동 284
 
7.8%
구 241
 
6.6%
광 239
 
6.6%
시 234
 
6.4%
역 233
 
6.4%
지 223
 
6.1%
호 220
 
6.0%
번 214
 
5.9%
Other values (163) 1166
32.1%

도로명전체주소
Text

MISSING 

Distinct240
Distinct (%)95.6%
Missing3
Missing (%)1.2%
Memory size2.1 KiB
2024-04-17T20:15:10.747458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length31.063745
Min length21

Characters and Unicode

Total characters7797
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

Unique230 ?
Unique (%)91.6%

Sample

1st row부산광역시 해운대구 해운대로383번길 55 (우동,(2층))
2nd row부산광역시 해운대구 신반송로182번길 7 (반송동)
3rd row부산광역시 해운대구 센텀동로 35, 502호 (우동,센텀SH밸리)
4th row부산광역시 해운대구 재반로 35, 2층 (재송동, 오메가메기사식당)
5th row부산광역시 해운대구 좌동로 3 (중동)
ValueCountFrequency (%)
부산광역시 251
 
16.5%
부산진구 34
 
2.2%
2층 33
 
2.2%
동래구 30
 
2.0%
중앙대로 29
 
1.9%
1층 28
 
1.8%
금정구 27
 
1.8%
해운대구 22
 
1.4%
연제구 21
 
1.4%
사상구 21
 
1.4%
Other values (566) 1023
67.3%
2024-04-17T20:15:11.164723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1268
 
16.3%
동 342
 
4.4%
산 323
 
4.1%
부 318
 
4.1%
1 283
 
3.6%
구 263
 
3.4%
광 262
 
3.4%
시 256
 
3.3%
역 252
 
3.2%
) 251
 
3.2%
Other values (234) 3979
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4562
58.5%
Space Separator 1268
 
16.3%
Decimal Number 1222
 
15.7%
Close Punctuation 251
 
3.2%
Open Punctuation 251
 
3.2%
Other Punctuation 204
 
2.6%
Dash Punctuation 28
 
0.4%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 342
 
7.5%
산 323
 
7.1%
부 318
 
7.0%
구 263
 
5.8%
광 262
 
5.7%
시 256
 
5.6%
역 252
 
5.5%
로 247
 
5.4%
대 158
 
3.5%
층 112
 
2.5%
Other values (213) 2029
44.5%
Decimal Number
ValueCountFrequency (%)
1 283
23.2%
2 219
17.9%
3 137
11.2%
0 104
 
8.5%
5 99
 
8.1%
7 93
 
7.6%
4 88
 
7.2%
6 84
 
6.9%
9 61
 
5.0%
8 54
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
45.5%
H 2
 
18.2%
L 1
 
9.1%
G 1
 
9.1%
D 1
 
9.1%
S 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1268
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Other Punctuation
ValueCountFrequency (%)
, 204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4562
58.5%
Common 3224
41.3%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 342
 
7.5%
산 323
 
7.1%
부 318
 
7.0%
구 263
 
5.8%
광 262
 
5.7%
시 256
 
5.6%
역 252
 
5.5%
로 247
 
5.4%
대 158
 
3.5%
층 112
 
2.5%
Other values (213) 2029
44.5%
Common
ValueCountFrequency (%)
1268
39.3%
1 283
 
8.8%
) 251
 
7.8%
( 251
 
7.8%
2 219
 
6.8%
, 204
 
6.3%
3 137
 
4.2%
0 104
 
3.2%
5 99
 
3.1%
7 93
 
2.9%
Other values (5) 315
 
9.8%
Latin
ValueCountFrequency (%)
B 5
45.5%
H 2
 
18.2%
L 1
 
9.1%
G 1
 
9.1%
D 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4562
58.5%
ASCII 3235
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1268
39.2%
1 283
 
8.7%
) 251
 
7.8%
( 251
 
7.8%
2 219
 
6.8%
, 204
 
6.3%
3 137
 
4.2%
0 104
 
3.2%
5 99
 
3.1%
7 93
 
2.9%
Other values (11) 326
 
10.1%
Hangul
ValueCountFrequency (%)
동 342
 
7.5%
산 323
 
7.1%
부 318
 
7.0%
구 263
 
5.8%
광 262
 
5.7%
시 256
 
5.6%
역 252
 
5.5%
로 247
 
5.4%
대 158
 
3.5%
층 112
 
2.5%
Other values (213) 2029
44.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct171
Distinct (%)81.8%
Missing45
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean122785.71
Minimum46024
Maximum618803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:11.286457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46024
5-th percentile46217
Q146917
median47581
Q348748
95-th percentile611017.2
Maximum618803
Range572779
Interquartile range (IQR)1831

Descriptive statistics

Standard deviation191912.75
Coefficient of variation (CV)1.5629892
Kurtosis2.7150579
Mean122785.71
Median Absolute Deviation (MAD)861
Skewness2.1651738
Sum25662214
Variance3.6830502 × 1010
MonotonicityNot monotonic
2024-04-17T20:15:11.401619image/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%
46215 3
 
1.2%
46720 3
 
1.2%
47504 2
 
0.8%
48070 2
 
0.8%
49120 2
 
0.8%
47858 2
 
0.8%
611800 2
 
0.8%
Other values (161) 182
71.7%
(Missing) 45
 
17.7%
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

Distinct237
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-17T20:15:11.601345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.5590551
Min length3

Characters and Unicode

Total characters1920
Distinct characters245
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

Unique221 ?
Unique (%)87.0%

Sample

1st row메디피아
2nd rowMH메디칼
3rd row(주)라이트메드코리아
4th row서비스월드
5th row엘지전자해운대서비스센터
ValueCountFrequency (%)
주식회사 10
 
3.4%
엘지전자(주 4
 
1.4%
독일보청기 3
 
1.0%
모닝메디케어 2
 
0.7%
상대종합상사 2
 
0.7%
휠체어 2
 
0.7%
메디케어 2
 
0.7%
부산서비스 2
 
0.7%
주)하이텔레서비스 2
 
0.7%
부산센터 2
 
0.7%
Other values (250) 265
89.5%
2024-04-17T20:15:11.938827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 84
 
4.4%
메 79
 
4.1%
디 79
 
4.1%
스 75
 
3.9%
) 74
 
3.9%
( 74
 
3.9%
이 56
 
2.9%
칼 44
 
2.3%
42
 
2.2%
기 36
 
1.9%
Other values (235) 1277
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1685
87.8%
Close Punctuation 74
 
3.9%
Open 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 79
 
4.7%
디 79
 
4.7%
스 75
 
4.5%
이 56
 
3.3%
칼 44
 
2.6%
기 36
 
2.1%
부 35
 
2.1%
서 35
 
2.1%
비 34
 
2.0%
Other values (213) 1128
66.9%
Uppercase Letter
ValueCountFrequency (%)
L 6
17.1%
G 5
14.3%
H 4
11.4%
M 3
8.6%
I 3
8.6%
K 3
8.6%
S 2
 
5.7%
T 2
 
5.7%
B 2
 
5.7%
P 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%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1685
87.8%
Common 194
 
10.1%
Latin 41
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
5.0%
메 79
 
4.7%
디 79
 
4.7%
스 75
 
4.5%
이 56
 
3.3%
칼 44
 
2.6%
기 36
 
2.1%
부 35
 
2.1%
서 35
 
2.1%
비 34
 
2.0%
Other values (213) 1128
66.9%
Latin
ValueCountFrequency (%)
L 6
14.6%
G 5
12.2%
H 4
9.8%
M 3
 
7.3%
I 3
 
7.3%
K 3
 
7.3%
S 2
 
4.9%
c 2
 
4.9%
e 2
 
4.9%
T 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 1685
87.8%
ASCII 234
 
12.2%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 84
 
5.0%
메 79
 
4.7%
디 79
 
4.7%
스 75
 
4.5%
이 56
 
3.3%
칼 44
 
2.6%
기 36
 
2.1%
부 35
 
2.1%
서 35
 
2.1%
비 34
 
2.0%
Other values (213) 1128
66.9%
ASCII
ValueCountFrequency (%)
) 74
31.6%
( 74
31.6%
42
17.9%
L 6
 
2.6%
G 5
 
2.1%
H 4
 
1.7%
M 3
 
1.3%
I 3
 
1.3%
K 3
 
1.3%
S 2
 
0.9%
Other values (11) 18
 
7.7%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016491 × 1013
Minimum2.0110401 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:12.321030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110401 × 1013
5-th percentile2.0111006 × 1013
Q12.0141211 × 1013
median2.0170404 × 1013
Q32.0190726 × 1013
95-th percentile2.0201215 × 1013
Maximum2.0210226 × 1013
Range9.9825029 × 1010
Interquartile range (IQR)4.9514657 × 1010

Descriptive statistics

Standard deviation2.9095351 × 1010
Coefficient of variation (CV)0.0014428703
Kurtosis-1.051845
Mean2.016491 × 1013
Median Absolute Deviation (MAD)2.0512965 × 1010
Skewness-0.35560227
Sum5.1218872 × 1015
Variance8.4653946 × 1020
MonotonicityNot monotonic
2024-04-17T20:15:12.442268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110930174722 1
 
0.4%
20161103104200 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%
20120814114043 1
 
0.4%
20120131135927 1
 
0.4%
Other values (244) 244
96.1%
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 (%)
20210226130950 1
0.4%
20210219114036 1
0.4%
20210211155101 1
0.4%
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%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
192 
U
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 192
75.6%
U 62
 
24.4%

Length

2024-04-17T20:15:12.557958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:15:12.643784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 192
75.6%
u 62
 
24.4%

데이터갱신일자
Date

Distinct89
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 00:23:01
2024-04-17T20:15:12.735520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:15:12.871570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)88.4%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean387118.45
Minimum343658.96
Maximum401741.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:13.000081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum343658.96
5-th percentile379340.79
Q1383459.31
median387982.65
Q3390186.83
95-th percentile396205
Maximum401741.22
Range58082.251
Interquartile range (IQR)6727.514

Descriptive statistics

Standard deviation5774.3332
Coefficient of variation (CV)0.014916192
Kurtosis12.218563
Mean387118.45
Median Absolute Deviation (MAD)2813.8541
Skewness-1.6604339
Sum96779612
Variance33342924
MonotonicityNot monotonic
2024-04-17T20:15:13.117999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380909.178507556 3
 
1.2%
387869.134317928 3
 
1.2%
380482.767624189 3
 
1.2%
383808.20933417 3
 
1.2%
378271.525532072 3
 
1.2%
385842.172820383 2
 
0.8%
390372.577604576 2
 
0.8%
390069.552737993 2
 
0.8%
393399.985819557 2
 
0.8%
389920.667351233 2
 
0.8%
Other values (211) 225
88.6%
(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%
379075.086683475 1
 
0.4%
379075.879760915 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 

Distinct221
Distinct (%)88.4%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean188855.94
Minimum174209.67
Maximum264477.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-17T20:15:13.239115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174209.67
5-th percentile179450.37
Q1185713.52
median188595.78
Q3191771.44
95-th percentile198129.17
Maximum264477.43
Range90267.763
Interquartile range (IQR)6057.9152

Descriptive statistics

Standard deviation7308.0423
Coefficient of variation (CV)0.038696385
Kurtosis45.128596
Mean188855.94
Median Absolute Deviation (MAD)3040.1918
Skewness4.3749432
Sum47213986
Variance53407483
MonotonicityNot monotonic
2024-04-17T20:15:13.355480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185739.851127297 3
 
1.2%
186381.28184674 3
 
1.2%
185582.274947583 3
 
1.2%
180704.319129777 3
 
1.2%
187855.688242439 3
 
1.2%
181270.143242681 2
 
0.8%
196943.174871015 2
 
0.8%
196130.009712133 2
 
0.8%
194700.592862128 2
 
0.8%
198389.90766378 2
 
0.8%
Other values (211) 225
88.6%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
174209.665999624 1
0.4%
174213.492106852 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%
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%
Missing249
Missing (%)98.0%
Memory size2.1 KiB
2024-04-17T20:15:13.499390image/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%
2024-04-17T20:15:13.757704image/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%
Missing249
Missing (%)98.0%
Memory size640.0 B
True
 
5
(Missing)
249 
ValueCountFrequency (%)
True 5
 
2.0%
(Missing) 249
98.0%
2024-04-17T20:15:13.852521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
01의료기기수리업01_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>
12의료기기수리업01_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>
23의료기기수리업01_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>
34의료기기수리업01_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>
45의료기기수리업01_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>
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_P3320000PHMG32009332004504740000220090713<NA>3폐업3폐업20141007<NA><NA><NA>303-8989<NA>616091부산광역시 북구 구포1동 1068번지 6호부산광역시 북구 낙동대로 1656-1 (구포동)616802전동엠케어20141007114556I2018-10-11 15:46:28.0<NA>381539.597509191149.941967<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
244245의료기기수리업01_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>
245246의료기기수리업01_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>
246247의료기기수리업01_02_02_P3300000PHMG32021330002404740000120210218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 명장동 131-24부산광역시 동래구 명안로71번길 8, 1층 (명장동)47773심메디칼20210219114036I2021-02-21 00:23:01.0<NA>391510.21993191352.943368<NA><NA><NA><NA><NA>
247248의료기기수리업01_02_02_P3300000PHMG32019330002404740000420160331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 70번지 6호부산광역시 동래구 아시아드대로163번길 14-2, 지하1층 (사직동)47858태광메디칼20191230151604I2020-01-01 00:23:31.0<NA>387930.317574190813.623395<NA><NA><NA><NA><NA>
248249의료기기수리업01_02_02_P3300000PHMG32019330002404740000320190917<NA>1영업/정상13영업중<NA><NA><NA><NA>051-555-9774<NA><NA>부산광역시 동래구 온천동 504번지 5호 하이프라자온천점부산광역시 동래구 중앙대로 1375, 하이프라자온천점 4층 (온천동)47728엘지전자(주)동래서비스센터20190919151030I2019-09-21 02:22:32.0<NA>389111.533009192054.950576<NA><NA><NA><NA><NA>
249250의료기기수리업01_02_02_P3300000PHMG32019330002404740000220190130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 수안동 221번지부산광역시 동래구 충렬대로 229, 2층 (수안동)47814독일보청기20190207174502I2019-02-09 02:21:15.0<NA>389765.123432191164.354975<NA><NA><NA><NA><NA>
250251의료기기수리업01_02_02_P3300000PHMG32019330002404740000120190207<NA>1영업/정상13영업중<NA><NA><NA><NA>051-714-1337<NA><NA>부산광역시 동래구 수안동 192번지 4호부산광역시 동래구 명륜로 78-1, 2층 (수안동)47877포낙보청기동래센터(박&하보청기)20190226162237U2019-02-28 02:40:00.0<NA>389754.268416191076.309564<NA><NA><NA><NA><NA>
251252의료기기수리업01_02_02_P3250000PHMG32018325002104740000120180730<NA>1영업/정상13영업중<NA><NA><NA><NA>257-3900<NA><NA>부산광역시 중구 광복동1가 44번지 1호부산광역시 중구 구덕로 8, 1층 (광복동1가)48954(주)가나안보청기 광복동지점20190329133645U2019-03-31 02:40:00.0<NA>385460.737174179570.702006<NA><NA><NA><NA><NA>
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253254의료기기수리업01_02_02_P3250000PHMG32005325002104740000120050607<NA>1영업/정상13영업중<NA><NA><NA><NA>051-244-4826<NA>600082부산광역시 중구 보수동2가 70번지부산광역시 중구 보수대로118번길 15 (보수동2가)48964신창메디칼20141219114244I2018-10-11 15:46:28.0<NA>384301.244482180389.667118<NA><NA><NA><NA><NA>