Overview

Dataset statistics

Number of variables6
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory52.4 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description제주특별자치도 서귀포시 관내 소재하고 있는 한의원에 관련한 데이터로 구분, 명칭, 주소, 전화번호, 위도, 경도 등의 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15055963/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:45:27.703665
Analysis finished2023-12-12 00:45:28.666173
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T09:45:28.842671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.8909091
Min length4

Characters and Unicode

Total characters324
Distinct characters91
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)96.4%

Sample

1st row필한의원
2nd row성산한의원
3rd row강한의원
4th row하나로 한의원
5th row광장한의원
ValueCountFrequency (%)
한의원 4
 
6.5%
경희한의원 2
 
3.2%
유동욱한의원 1
 
1.6%
남원한의원 1
 
1.6%
표선만수한의원 1
 
1.6%
김주영한의원 1
 
1.6%
올레한의원 1
 
1.6%
해달한의원 1
 
1.6%
오지영한의원 1
 
1.6%
남제주한의원 1
 
1.6%
Other values (48) 48
77.4%
2023-12-12T09:45:29.259775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 57
17.6%
원 57
17.6%
의 56
17.3%
경 8
 
2.5%
희 8
 
2.5%
서 7
 
2.2%
7
 
2.2%
귀 5
 
1.5%
동 4
 
1.2%
포 4
 
1.2%
Other values (81) 111
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
97.8%
Space Separator 7
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 57
18.0%
원 57
18.0%
의 56
17.7%
경 8
 
2.5%
희 8
 
2.5%
서 7
 
2.2%
귀 5
 
1.6%
동 4
 
1.3%
포 4
 
1.3%
제 4
 
1.3%
Other values (80) 107
33.8%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
97.8%
Common 7
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 57
18.0%
원 57
18.0%
의 56
17.7%
경 8
 
2.5%
희 8
 
2.5%
서 7
 
2.2%
귀 5
 
1.6%
동 4
 
1.3%
포 4
 
1.3%
제 4
 
1.3%
Other values (80) 107
33.8%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
97.8%
ASCII 7
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 57
18.0%
원 57
18.0%
의 56
17.7%
경 8
 
2.5%
희 8
 
2.5%
서 7
 
2.2%
귀 5
 
1.6%
동 4
 
1.3%
포 4
 
1.3%
제 4
 
1.3%
Other values (80) 107
33.8%
ASCII
ValueCountFrequency (%)
7
100.0%

전화번호
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T09:45:29.512117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.072727
Min length12

Characters and Unicode

Total characters664
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

Unique53 ?
Unique (%)96.4%

Sample

1st row064-782-0951
2nd row064-782-8080
3rd row064-763-8275
4th row064-792-3626
5th row064-733-2164
ValueCountFrequency (%)
064-900-4994 2
 
3.6%
064-763-3999 1
 
1.8%
064-787-3119 1
 
1.8%
064-783-7975 1
 
1.8%
064-762-1075 1
 
1.8%
064-732-1075 1
 
1.8%
064-792-7582 1
 
1.8%
064-738-2438 1
 
1.8%
064-733-0124 1
 
1.8%
064-792-1075 1
 
1.8%
Other values (44) 44
80.0%
2023-12-12T09:45:29.906338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 110
16.6%
7 102
15.4%
0 90
13.6%
6 82
12.3%
4 76
11.4%
3 47
7.1%
5 37
 
5.6%
9 35
 
5.3%
2 31
 
4.7%
8 29
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 554
83.4%
Dash Punctuation 110
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 102
18.4%
0 90
16.2%
6 82
14.8%
4 76
13.7%
3 47
8.5%
5 37
 
6.7%
9 35
 
6.3%
2 31
 
5.6%
8 29
 
5.2%
1 25
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 110
16.6%
7 102
15.4%
0 90
13.6%
6 82
12.3%
4 76
11.4%
3 47
7.1%
5 37
 
5.6%
9 35
 
5.3%
2 31
 
4.7%
8 29
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 110
16.6%
7 102
15.4%
0 90
13.6%
6 82
12.3%
4 76
11.4%
3 47
7.1%
5 37
 
5.6%
9 35
 
5.3%
2 31
 
4.7%
8 29
 
4.4%

주소
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T09:45:30.178893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length25.109091
Min length18

Characters and Unicode

Total characters1381
Distinct characters85
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)96.4%

Sample

1st row제주특별자치도 서귀포시 표선면 표선동서로 236
2nd row제주특별자치도 서귀포시 성산읍 일출로 14-8
3rd row제주특별자치도 서귀포시 서문로 2-1(서귀동)
4th row제주특별자치도 서귀포시 대정읍 일주서로 2460
5th row제주특별자치도 서귀포시 동문로 4
ValueCountFrequency (%)
서귀포시 55
20.5%
제주특별자치도 54
20.1%
대정읍 11
 
4.1%
서귀동 7
 
2.6%
하모상가로 6
 
2.2%
표선면 5
 
1.9%
성산읍 5
 
1.9%
중앙로 4
 
1.5%
남원읍 4
 
1.5%
천제연로 3
 
1.1%
Other values (88) 114
42.5%
2023-12-12T09:45:30.574832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
 
15.4%
서 70
 
5.1%
귀 64
 
4.6%
제 58
 
4.2%
주 58
 
4.2%
로 56
 
4.1%
포 56
 
4.1%
시 55
 
4.0%
도 55
 
4.0%
치 54
 
3.9%
Other values (75) 642
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 967
70.0%
Space Separator 213
 
15.4%
Decimal Number 150
 
10.9%
Close Punctuation 21
 
1.5%
Open Punctuation 21
 
1.5%
Dash Punctuation 7
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 70
 
7.2%
귀 64
 
6.6%
제 58
 
6.0%
주 58
 
6.0%
로 56
 
5.8%
포 56
 
5.8%
시 55
 
5.7%
도 55
 
5.7%
치 54
 
5.6%
자 54
 
5.6%
Other values (59) 387
40.0%
Decimal Number
ValueCountFrequency (%)
1 27
18.0%
2 22
14.7%
4 19
12.7%
8 15
10.0%
0 12
8.0%
3 12
8.0%
6 12
8.0%
9 12
8.0%
7 11
7.3%
5 8
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 967
70.0%
Common 412
29.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 70
 
7.2%
귀 64
 
6.6%
제 58
 
6.0%
주 58
 
6.0%
로 56
 
5.8%
포 56
 
5.8%
시 55
 
5.7%
도 55
 
5.7%
치 54
 
5.6%
자 54
 
5.6%
Other values (59) 387
40.0%
Common
ValueCountFrequency (%)
213
51.7%
1 27
 
6.6%
2 22
 
5.3%
) 21
 
5.1%
( 21
 
5.1%
4 19
 
4.6%
8 15
 
3.6%
0 12
 
2.9%
3 12
 
2.9%
6 12
 
2.9%
Other values (4) 38
 
9.2%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 967
70.0%
ASCII 414
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
51.4%
1 27
 
6.5%
2 22
 
5.3%
) 21
 
5.1%
( 21
 
5.1%
4 19
 
4.6%
8 15
 
3.6%
0 12
 
2.9%
3 12
 
2.9%
6 12
 
2.9%
Other values (6) 40
 
9.7%
Hangul
ValueCountFrequency (%)
서 70
 
7.2%
귀 64
 
6.6%
제 58
 
6.0%
주 58
 
6.0%
로 56
 
5.8%
포 56
 
5.8%
시 55
 
5.7%
도 55
 
5.7%
치 54
 
5.6%
자 54
 
5.6%
Other values (59) 387
40.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.273648
Minimum33.218869
Maximum33.461489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T09:45:30.985324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.218869
5-th percentile33.221497
Q133.248206
median33.252233
Q333.277239
95-th percentile33.44929
Maximum33.461489
Range0.24261993
Interquartile range (IQR)0.029033125

Descriptive statistics

Standard deviation0.062976955
Coefficient of variation (CV)0.0018926976
Kurtosis3.6635903
Mean33.273648
Median Absolute Deviation (MAD)0.00617085
Skewness2.1091953
Sum1830.0507
Variance0.0039660968
MonotonicityNot monotonic
2023-12-12T09:45:31.113211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.3248641 1
 
1.8%
33.44707853 1
 
1.8%
33.248845 1
 
1.8%
33.25032763 1
 
1.8%
33.22169392 1
 
1.8%
33.25270076 1
 
1.8%
33.24825957 1
 
1.8%
33.22054956 1
 
1.8%
33.26299956 1
 
1.8%
33.27892311 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
33.21886863 1
1.8%
33.22054956 1
1.8%
33.2212616 1
1.8%
33.22159825 1
1.8%
33.22160517 1
1.8%
33.22169392 1
1.8%
33.22176288 1
1.8%
33.22177582 1
1.8%
33.22397362 1
1.8%
33.23404245 1
1.8%
ValueCountFrequency (%)
33.46148856 1
1.8%
33.4525025 1
1.8%
33.4497947 1
1.8%
33.44907441 1
1.8%
33.44707853 1
1.8%
33.3262868 1
1.8%
33.32624047 1
1.8%
33.32563586 1
1.8%
33.3248641 1
1.8%
33.32391989 1
1.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.54572
Minimum126.25191
Maximum126.91514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T09:45:31.236926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25191
5-th percentile126.25283
Q1126.42351
median126.56148
Q3126.64162
95-th percentile126.91453
Maximum126.91514
Range0.663235
Interquartile range (IQR)0.2181087

Descriptive statistics

Standard deviation0.20630901
Coefficient of variation (CV)0.0016303121
Kurtosis-0.75205557
Mean126.54572
Median Absolute Deviation (MAD)0.1375551
Skewness0.20154523
Sum6960.0144
Variance0.042563406
MonotonicityNot monotonic
2023-12-12T09:45:31.365700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8324898 1
 
1.8%
126.9137376 1
 
1.8%
126.5681629 1
 
1.8%
126.5723449 1
 
1.8%
126.2528072 1
 
1.8%
126.4230947 1
 
1.8%
126.5642127 1
 
1.8%
126.2528514 1
 
1.8%
126.6166348 1
 
1.8%
126.7177481 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
126.2519083 1
1.8%
126.2520754 1
1.8%
126.2528072 1
1.8%
126.2528373 1
1.8%
126.2528514 1
1.8%
126.2532242 1
1.8%
126.2532251 1
1.8%
126.2536994 1
1.8%
126.2541927 1
1.8%
126.2642017 1
1.8%
ValueCountFrequency (%)
126.9151433 1
1.8%
126.9150268 1
1.8%
126.9149889 1
1.8%
126.9143262 1
1.8%
126.9137376 1
1.8%
126.8334552 1
1.8%
126.8331159 1
1.8%
126.8324898 1
1.8%
126.8322882 1
1.8%
126.8308376 1
1.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-10-10
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023-10-10 55
100.0%

Length

2023-12-12T09:45:31.492371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:45:31.577011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-10 55
100.0%

Interactions

2023-12-12T09:45:28.287236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:45:28.108194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:45:28.368691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:45:28.199164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:45:31.628318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명전화번호주소위도경도
의료기관명1.0000.9970.9971.0000.768
전화번호0.9971.0001.0001.0001.000
주소0.9971.0001.0001.0001.000
위도1.0001.0001.0001.0000.999
경도0.7681.0001.0000.9991.000
2023-12-12T09:45:31.715117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.823
경도0.8231.000

Missing values

2023-12-12T09:45:28.500356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:45:28.614467image/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
0필한의원064-782-0951제주특별자치도 서귀포시 표선면 표선동서로 23633.324864126.832492023-10-10
1성산한의원064-782-8080제주특별자치도 서귀포시 성산읍 일출로 14-833.447079126.9137382023-10-10
2강한의원064-763-8275제주특별자치도 서귀포시 서문로 2-1(서귀동)33.252245126.5603382023-10-10
3하나로 한의원064-792-3626제주특별자치도 서귀포시 대정읍 일주서로 246033.234042126.2642022023-10-10
4광장한의원064-733-2164제주특별자치도 서귀포시 동문로 433.252233126.5616692023-10-10
5생생한의원064-738-7530제주특별자치도 서귀포시 대포중앙로 1433.249896126.4330492023-10-10
6동가원한의원064-748-3375제주특별자치도 서귀포시 대정읍 글로벌에듀로 38233.280362126.2769932023-10-10
7경희세림한의원0507-1486-1085제주특별자치도 서귀포시 중앙로 8133.251909126.5609232023-10-10
8데움 한의원064-712-6777제주특별자치도 서귀포시 성산읍 오조로 8533.461489126.9149892023-10-10
9서귀한의원 제주서귀포점064-733-2110제주특별자치도 서귀포시 중앙로 10933.254465126.5605482023-10-10
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45정방한의원064-762-7572제주특별자치도 서귀포시 중앙로42번길 46 (서귀동)33.249321126.5663312023-10-10
46중문한의원064-738-3375제주특별자치도 서귀포시 천제연로 182 (중문동)33.251611126.423932023-10-10
47서상록한의원064-762-0762제주특별자치도 서귀포시 중앙로 121 (서홍동)33.255455126.5603822023-10-10
48대추나무한의원064-733-8275제주특별자치도 서귀포시 동문로 13 (서귀동)33.252083126.5627442023-10-10
49고려한의원064-733-7066제주특별자치도 서귀포시 신서귀로 39 (법환동)33.252564126.5107782023-10-10
50경희한의원064-763-2626제주특별자치도 서귀포시 일주동로 8673 (서귀동)33.253038126.5618272023-10-10
51형제한의원064-733-7976제주특별자치도 서귀포시 중정로 104 (서귀동)33.248386126.5673332023-10-10
52경희강한의원064-900-4994제주특별자치도 서귀포시 대정읍 하모상가로 4133.221776126.2532252023-10-10
53표선만수한의원064-787-3119제주특별자치도 서귀포시 표선면 표선중앙로 90 (GS25)33.325636126.8334552023-10-10
54맘편한한의원064-738-7500제주특별자치도 서귀포시 천제연로 20033.251508126.4260682023-10-10