Overview

Dataset statistics

Number of variables6
Number of observations117
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory51.1 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description제주특별자치도 서귀포시 관내 소재하고 있는 의원에 관련한 데이터로 구분, 명칭, 주소, 전화번호, 위도, 경도 등의 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15055960/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:03:06.746707
Analysis finished2023-12-12 09:03:07.682062
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T18:03:07.928652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length7.8034188
Min length3

Characters and Unicode

Total characters913
Distinct characters171
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)100.0%

Sample

1st row바움소아청소년과의원
2nd row(재)한국의학연구소 제주의원
3rd row생생가정의학과의원
4th row힐리피엠씨의원
5th row강남정형외과의원
ValueCountFrequency (%)
의원 2
 
1.6%
사랑의 2
 
1.6%
바움소아청소년과의원 1
 
0.8%
우리의원 1
 
0.8%
남원고려의원 1
 
0.8%
우리들소아과의원 1
 
0.8%
인혜의원 1
 
0.8%
우리동홍의원 1
 
0.8%
제일정형외과의원 1
 
0.8%
위미의원 1
 
0.8%
Other values (117) 117
90.7%
2023-12-12T18:03:08.499915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 136
 
14.9%
원 120
 
13.1%
과 71
 
7.8%
정 20
 
2.2%
외 17
 
1.9%
성 16
 
1.8%
학 15
 
1.6%
서 15
 
1.6%
인 14
 
1.5%
소 13
 
1.4%
Other values (161) 476
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 889
97.4%
Space Separator 12
 
1.3%
Decimal Number 6
 
0.7%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 136
 
15.3%
원 120
 
13.5%
과 71
 
8.0%
정 20
 
2.2%
외 17
 
1.9%
성 16
 
1.8%
학 15
 
1.7%
서 15
 
1.7%
인 14
 
1.6%
소 13
 
1.5%
Other values (155) 452
50.8%
Decimal Number
ValueCountFrequency (%)
6 2
33.3%
3 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 888
97.3%
Common 24
 
2.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 136
 
15.3%
원 120
 
13.5%
과 71
 
8.0%
정 20
 
2.3%
외 17
 
1.9%
성 16
 
1.8%
학 15
 
1.7%
서 15
 
1.7%
인 14
 
1.6%
소 13
 
1.5%
Other values (154) 451
50.8%
Common
ValueCountFrequency (%)
12
50.0%
) 3
 
12.5%
( 3
 
12.5%
6 2
 
8.3%
3 2
 
8.3%
5 2
 
8.3%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 888
97.3%
ASCII 24
 
2.6%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 136
 
15.3%
원 120
 
13.5%
과 71
 
8.0%
정 20
 
2.3%
외 17
 
1.9%
성 16
 
1.8%
학 15
 
1.7%
서 15
 
1.7%
인 14
 
1.6%
소 13
 
1.5%
Other values (154) 451
50.8%
ASCII
ValueCountFrequency (%)
12
50.0%
) 3
 
12.5%
( 3
 
12.5%
6 2
 
8.3%
3 2
 
8.3%
5 2
 
8.3%
CJK
ValueCountFrequency (%)
美 1
100.0%

전화번호
Text

UNIQUE 

Distinct117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T18:03:08.844431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1404
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)100.0%

Sample

1st row064-738-0027
2nd row064-729-6500
3rd row064-794-1007
4th row064-733-0655
5th row064-792-3001
ValueCountFrequency (%)
064-738-0027 1
 
0.9%
064-764-6988 1
 
0.9%
064-762-8867 1
 
0.9%
064-733-0434 1
 
0.9%
064-787-7805 1
 
0.9%
064-763-5075 1
 
0.9%
064-784-6333 1
 
0.9%
064-787-8575 1
 
0.9%
064-764-5510 1
 
0.9%
064-784-5575 1
 
0.9%
Other values (107) 107
91.5%
2023-12-12T18:03:09.386932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 234
16.7%
7 195
13.9%
6 191
13.6%
0 188
13.4%
4 158
11.3%
3 110
7.8%
2 89
 
6.3%
8 78
 
5.6%
5 67
 
4.8%
9 51
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1170
83.3%
Dash Punctuation 234
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 195
16.7%
6 191
16.3%
0 188
16.1%
4 158
13.5%
3 110
9.4%
2 89
7.6%
8 78
 
6.7%
5 67
 
5.7%
9 51
 
4.4%
1 43
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1404
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 234
16.7%
7 195
13.9%
6 191
13.6%
0 188
13.4%
4 158
11.3%
3 110
7.8%
2 89
 
6.3%
8 78
 
5.6%
5 67
 
4.8%
9 51
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 234
16.7%
7 195
13.9%
6 191
13.6%
0 188
13.4%
4 158
11.3%
3 110
7.8%
2 89
 
6.3%
8 78
 
5.6%
5 67
 
4.8%
9 51
 
3.6%

주소
Text

Distinct112
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T18:03:09.830566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length29.068376
Min length24

Characters and Unicode

Total characters3401
Distinct characters143
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

Unique107 ?
Unique (%)91.5%

Sample

1st row제주특별자치도 서귀포시 월드컵로 8 4층 401호 (강정동)
2nd row제주특별자치도 서귀포시 솔오름로 61 제주헬스케어타운 의료서비스센터 1~2층 (동홍동)
3rd row제주특별자치도 서귀포시 안덕면 화순로 132 3층
4th row제주특별자치도 서귀포시 솔오름로 61 2층 4 5호 (동홍동)
5th row제주특별자치도 서귀포시 대정읍 신영로 75 3층
ValueCountFrequency (%)
서귀포시 117
17.3%
제주특별자치도 116
17.2%
서귀동 49
 
7.3%
2층 24
 
3.6%
중앙로 16
 
2.4%
대정읍 15
 
2.2%
일주동로 14
 
2.1%
중정로 13
 
1.9%
동문로 12
 
1.8%
강정동 10
 
1.5%
Other values (165) 289
42.8%
2023-12-12T18:03:10.528012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
558
 
16.4%
서 187
 
5.5%
귀 169
 
5.0%
주 134
 
3.9%
동 125
 
3.7%
시 121
 
3.6%
제 121
 
3.6%
포 120
 
3.5%
자 118
 
3.5%
로 118
 
3.5%
Other values (133) 1630
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2274
66.9%
Space Separator 558
 
16.4%
Decimal Number 386
 
11.3%
Open Punctuation 85
 
2.5%
Close Punctuation 85
 
2.5%
Dash Punctuation 9
 
0.3%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 187
 
8.2%
귀 169
 
7.4%
주 134
 
5.9%
동 125
 
5.5%
시 121
 
5.3%
제 121
 
5.3%
포 120
 
5.3%
자 118
 
5.2%
로 118
 
5.2%
도 117
 
5.1%
Other values (115) 944
41.5%
Decimal Number
ValueCountFrequency (%)
2 67
17.4%
1 57
14.8%
6 47
12.2%
3 47
12.2%
5 35
9.1%
4 34
8.8%
8 32
8.3%
9 23
 
6.0%
7 23
 
6.0%
0 21
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
558
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2274
66.9%
Common 1124
33.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 187
 
8.2%
귀 169
 
7.4%
주 134
 
5.9%
동 125
 
5.5%
시 121
 
5.3%
제 121
 
5.3%
포 120
 
5.3%
자 118
 
5.2%
로 118
 
5.2%
도 117
 
5.1%
Other values (115) 944
41.5%
Common
ValueCountFrequency (%)
558
49.6%
( 85
 
7.6%
) 85
 
7.6%
2 67
 
6.0%
1 57
 
5.1%
6 47
 
4.2%
3 47
 
4.2%
5 35
 
3.1%
4 34
 
3.0%
8 32
 
2.8%
Other values (5) 77
 
6.9%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2274
66.9%
ASCII 1127
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
558
49.5%
( 85
 
7.5%
) 85
 
7.5%
2 67
 
5.9%
1 57
 
5.1%
6 47
 
4.2%
3 47
 
4.2%
5 35
 
3.1%
4 34
 
3.0%
8 32
 
2.8%
Other values (8) 80
 
7.1%
Hangul
ValueCountFrequency (%)
서 187
 
8.2%
귀 169
 
7.4%
주 134
 
5.9%
동 125
 
5.5%
시 121
 
5.3%
제 121
 
5.3%
포 120
 
5.3%
자 118
 
5.2%
로 118
 
5.2%
도 117
 
5.1%
Other values (115) 944
41.5%

위도
Real number (ℝ)

Distinct88
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.26595
Minimum33.220981
Maximum33.450254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T18:03:11.081968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.220981
5-th percentile33.22202
Q133.248548
median33.252346
Q333.254798
95-th percentile33.350242
Maximum33.450254
Range0.22927315
Interquartile range (IQR)0.00625002

Descriptive statistics

Standard deviation0.04779088
Coefficient of variation (CV)0.0014366306
Kurtosis8.9505181
Mean33.26595
Median Absolute Deviation (MAD)0.00353
Skewness2.9899867
Sum3892.1161
Variance0.0022839682
MonotonicityNot monotonic
2023-12-12T18:03:11.281713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.24899688 7
 
6.0%
33.25234613 5
 
4.3%
33.25301799 5
 
4.3%
33.25479834 3
 
2.6%
33.25232165 3
 
2.6%
33.25283159 3
 
2.6%
33.24785988 2
 
1.7%
33.22159825 2
 
1.7%
33.32433479 2
 
1.7%
33.25238087 2
 
1.7%
Other values (78) 83
70.9%
ValueCountFrequency (%)
33.22098077 1
0.9%
33.22139151 1
0.9%
33.22159825 2
1.7%
33.22164408 1
0.9%
33.22166941 1
0.9%
33.22210705 2
1.7%
33.22215558 1
0.9%
33.22253008 1
0.9%
33.24654978 1
0.9%
33.24664818 1
0.9%
ValueCountFrequency (%)
33.45025392 1
0.9%
33.44991819 1
0.9%
33.44978117 1
0.9%
33.44961477 1
0.9%
33.44958349 1
0.9%
33.44710171 1
0.9%
33.32602677 1
0.9%
33.32571738 1
0.9%
33.32571446 1
0.9%
33.32433479 2
1.7%

경도
Real number (ℝ)

Distinct88
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.54257
Minimum126.25082
Maximum126.91575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T18:03:11.476589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25082
5-th percentile126.25398
Q1126.50732
median126.56151
Q3126.56383
95-th percentile126.84914
Maximum126.91575
Range0.6649303
Interquartile range (IQR)0.0565155

Descriptive statistics

Standard deviation0.15837378
Coefficient of variation (CV)0.0012515455
Kurtosis0.71849068
Mean126.54257
Median Absolute Deviation (MAD)0.0079764
Skewness0.20815016
Sum14805.481
Variance0.025082255
MonotonicityNot monotonic
2023-12-12T18:03:11.669863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5073187 7
 
6.0%
126.5620641 5
 
4.3%
126.5616883 5
 
4.3%
126.5604894 3
 
2.6%
126.5615065 3
 
2.6%
126.5603821 3
 
2.6%
126.5616117 2
 
1.7%
126.2536994 2
 
1.7%
126.8308536 2
 
1.7%
126.5603895 2
 
1.7%
Other values (78) 83
70.9%
ValueCountFrequency (%)
126.2508156 1
0.9%
126.2517029 1
0.9%
126.2518157 1
0.9%
126.2536994 2
1.7%
126.2539789 2
1.7%
126.2543957 1
0.9%
126.2548683 1
0.9%
126.2558584 1
0.9%
126.2750931 1
0.9%
126.2752604 1
0.9%
ValueCountFrequency (%)
126.9157459 1
0.9%
126.915072 1
0.9%
126.9149565 1
0.9%
126.9145884 1
0.9%
126.9145107 1
0.9%
126.9132964 1
0.9%
126.8331013 1
0.9%
126.8327899 1
0.9%
126.8324421 1
0.9%
126.8316172 1
0.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-10-12
117 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-12
2nd row2023-10-12
3rd row2023-10-12
4th row2023-10-12
5th row2023-10-12

Common Values

ValueCountFrequency (%)
2023-10-12 117
100.0%

Length

2023-12-12T18:03:11.886828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:03:12.014258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-12 117
100.0%

Interactions

2023-12-12T18:03:07.232068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:03:07.022266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:03:07.367658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:03:07.112634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:03:12.090482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.909
경도0.9091.000
2023-12-12T18:03:12.192100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.429
경도0.4291.000

Missing values

2023-12-12T18:03:07.529539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:03:07.643324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

의료기관명전화번호주소위도경도데이터기준일자
0바움소아청소년과의원064-738-0027제주특별자치도 서귀포시 월드컵로 8 4층 401호 (강정동)33.248997126.5073192023-10-12
1(재)한국의학연구소 제주의원064-729-6500제주특별자치도 서귀포시 솔오름로 61 제주헬스케어타운 의료서비스센터 1~2층 (동홍동)33.283632126.5597052023-10-12
2생생가정의학과의원064-794-1007제주특별자치도 서귀포시 안덕면 화순로 132 3층33.24655126.3323132023-10-12
3힐리피엠씨의원064-733-0655제주특별자치도 서귀포시 솔오름로 61 2층 4 5호 (동홍동)33.283632126.5597052023-10-12
4강남정형외과의원064-792-3001제주특별자치도 서귀포시 대정읍 신영로 75 3층33.220981126.2508162023-10-12
5연세선린내과의원064-901-7575제주특별자치도 서귀포시 동문로 64 3 4층 (서귀동)33.249021126.5668832023-10-12
6엘라 여성의원064-767-8275제주특별자치도 서귀포시 중앙로 89 서귀포약국 3층 (서귀동)33.252598126.5604292023-10-12
7드림마취통증의원064-764-7227제주특별자치도 서귀포시 남원읍 태위로 629 참사랑의원33.278056126.7140682023-10-12
8현 비뇨의학과의원064-794-0080제주특별자치도 서귀포시 대정읍 하모상가로 49 4층33.222107126.2539792023-10-12
9연세예담의원064-763-3112제주특별자치도 서귀포시 일주동로 8666 2층 (동홍동)33.253693126.5623642023-10-12
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107유소아과의원064-732-5418제주특별자치도 서귀포시 중앙로 93 (서귀동)33.252832126.5603822023-10-12
108정안과의원064-733-3346제주특별자치도 서귀포시 중정로 54-1 (서귀동)33.247506126.5622292023-10-12
109김상훈비뇨기과의원064-762-7888제주특별자치도 서귀포시 중앙로42번길 9 (서귀동)33.248549126.5627492023-10-12
110한관지이비인후과의원064-733-2220제주특별자치도 서귀포시 중정로 56-1 (서귀동)33.247491126.5624552023-10-12
111우리정형외과의원064-733-1418제주특별자치도 서귀포시 중앙로 106 (동홍동)33.254093126.5610812023-10-12
112윤성현내과의원064-762-5651제주특별자치도 서귀포시 중정로 38 (서귀동)33.247359126.5603752023-10-12
113이내과의원064-762-3872제주특별자치도 서귀포시 중정로 68-1 (서귀동)33.24783126.5636942023-10-12
114중앙의원064-794-7274제주특별자치도 서귀포시 대정읍 상모로 313 (중앙의원)33.22253126.2558582023-10-12
115고은희산부인과의원064-762-2266제주특별자치도 서귀포시 중정로 78 (서귀동)33.248003126.5646782023-10-12
116삼성탑내과의원064-762-3662제주특별자치도 서귀포시 중정로61번길 1 2층 (서귀동)33.247995126.5628112023-10-12