Overview

Dataset statistics

Number of variables4
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.0 B

Variable types

Numeric1
Text3

Dataset

Description의료관광은 의료서비스와 관광 상품을 연계한 적극적 마케팅을 바탕으로 추진되는 산업으로 대구 지역에 외국인 환자를 유치한 의료기관 등을 소개
Author대구광역시
URLhttps://www.data.go.kr/data/15046169/fileData.do

Alerts

순번 has unique valuesUnique
기관명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:35:28.558222
Analysis finished2023-12-12 14:35:29.033821
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T23:35:29.121153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-12T23:35:29.338513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

기관명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T23:35:29.600915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length6.9545455
Min length3

Characters and Unicode

Total characters306
Distinct characters112
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row계명대학교동산의료원
2nd row영남대학교의료원
3rd row칠곡경북대학교병원
4th row대구한의대학교의료원
5th row대구파티마병원
ValueCountFrequency (%)
계명대학교동산의료원 1
 
2.2%
램브란트치과의원 1
 
2.2%
한국건강관리협회 1
 
2.2%
대구지부 1
 
2.2%
황금피부과의원 1
 
2.2%
렛츠성형외과의원 1
 
2.2%
뉴욕치과 1
 
2.2%
맥치과병원 1
 
2.2%
미르치과병원 1
 
2.2%
덕영치과병원 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T23:35:30.067347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 36
 
11.8%
과 25
 
8.2%
의 22
 
7.2%
병 16
 
5.2%
대 9
 
2.9%
외 8
 
2.6%
학 7
 
2.3%
성 6
 
2.0%
부 6
 
2.0%
형 6
 
2.0%
Other values (102) 165
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
97.1%
Uppercase Letter 5
 
1.6%
Space Separator 2
 
0.7%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 36
 
12.1%
과 25
 
8.4%
의 22
 
7.4%
병 16
 
5.4%
대 9
 
3.0%
외 8
 
2.7%
학 7
 
2.4%
성 6
 
2.0%
부 6
 
2.0%
형 6
 
2.0%
Other values (95) 156
52.5%
Uppercase Letter
ValueCountFrequency (%)
M 2
40.0%
S 1
20.0%
I 1
20.0%
K 1
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
97.1%
Latin 5
 
1.6%
Common 4
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 36
 
12.1%
과 25
 
8.4%
의 22
 
7.4%
병 16
 
5.4%
대 9
 
3.0%
외 8
 
2.7%
학 7
 
2.4%
성 6
 
2.0%
부 6
 
2.0%
형 6
 
2.0%
Other values (95) 156
52.5%
Latin
ValueCountFrequency (%)
M 2
40.0%
S 1
20.0%
I 1
20.0%
K 1
20.0%
Common
ValueCountFrequency (%)
2
50.0%
) 1
25.0%
( 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
97.1%
ASCII 9
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 36
 
12.1%
과 25
 
8.4%
의 22
 
7.4%
병 16
 
5.4%
대 9
 
3.0%
외 8
 
2.7%
학 7
 
2.4%
성 6
 
2.0%
부 6
 
2.0%
형 6
 
2.0%
Other values (95) 156
52.5%
ASCII
ValueCountFrequency (%)
2
22.2%
M 2
22.2%
S 1
11.1%
) 1
11.1%
I 1
11.1%
K 1
11.1%
( 1
11.1%

주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T23:35:30.422142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length29.181818
Min length18

Characters and Unicode

Total characters1284
Distinct characters129
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 달구벌대로 1035(신당동)
2nd row대구 남구 현충로 170 (대명동)
3rd row대구 북구 호국로 807 (학정동)
4th row대구광역시 수성구 신천동로 136
5th row대구광역시 동구 아양로 99(신암동)
ValueCountFrequency (%)
대구광역시 30
 
12.0%
중구 20
 
8.0%
대구 14
 
5.6%
수성구 10
 
4.0%
달구벌대로 9
 
3.6%
달서구 9
 
3.6%
동대구로 5
 
2.0%
국채보상로 5
 
2.0%
2층 3
 
1.2%
삼덕동2가 3
 
1.2%
Other values (127) 141
56.6%
2023-12-12T23:35:30.882362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
18.7%
구 105
 
8.2%
대 61
 
4.8%
동 57
 
4.4%
1 55
 
4.3%
로 47
 
3.7%
( 43
 
3.3%
) 43
 
3.3%
2 33
 
2.6%
시 31
 
2.4%
Other values (119) 569
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 722
56.2%
Space Separator 240
 
18.7%
Decimal Number 194
 
15.1%
Open Punctuation 43
 
3.3%
Close Punctuation 43
 
3.3%
Other Punctuation 35
 
2.7%
Uppercase Letter 4
 
0.3%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 105
 
14.5%
대 61
 
8.4%
동 57
 
7.9%
로 47
 
6.5%
시 31
 
4.3%
광 30
 
4.2%
역 30
 
4.2%
중 23
 
3.2%
층 23
 
3.2%
성 20
 
2.8%
Other values (98) 295
40.9%
Decimal Number
ValueCountFrequency (%)
1 55
28.4%
2 33
17.0%
6 20
 
10.3%
5 19
 
9.8%
3 17
 
8.8%
9 13
 
6.7%
7 12
 
6.2%
0 10
 
5.2%
4 8
 
4.1%
8 7
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 28
80.0%
/ 4
 
11.4%
. 3
 
8.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 722
56.2%
Common 558
43.5%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 105
 
14.5%
대 61
 
8.4%
동 57
 
7.9%
로 47
 
6.5%
시 31
 
4.3%
광 30
 
4.2%
역 30
 
4.2%
중 23
 
3.2%
층 23
 
3.2%
성 20
 
2.8%
Other values (98) 295
40.9%
Common
ValueCountFrequency (%)
240
43.0%
1 55
 
9.9%
( 43
 
7.7%
) 43
 
7.7%
2 33
 
5.9%
, 28
 
5.0%
6 20
 
3.6%
5 19
 
3.4%
3 17
 
3.0%
9 13
 
2.3%
Other values (8) 47
 
8.4%
Latin
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 722
56.2%
ASCII 562
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
240
42.7%
1 55
 
9.8%
( 43
 
7.7%
) 43
 
7.7%
2 33
 
5.9%
, 28
 
5.0%
6 20
 
3.6%
5 19
 
3.4%
3 17
 
3.0%
9 13
 
2.3%
Other values (11) 51
 
9.1%
Hangul
ValueCountFrequency (%)
구 105
 
14.5%
대 61
 
8.4%
동 57
 
7.9%
로 47
 
6.5%
시 31
 
4.3%
광 30
 
4.2%
역 30
 
4.2%
중 23
 
3.2%
층 23
 
3.2%
성 20
 
2.8%
Other values (98) 295
40.9%

연락처
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T23:35:31.117001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.068182
Min length12

Characters and Unicode

Total characters531
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

Unique44 ?
Unique (%)100.0%

Sample

1st row053-250-7854
2nd row053-640-6648
3rd row053-200-2044
4th row053-770-2048
5th row053-940-7620
ValueCountFrequency (%)
053-250-7854 1
 
2.3%
053-640-6648 1
 
2.3%
053-757-0542 1
 
2.3%
053-1600-9676 1
 
2.3%
053-716-6565 1
 
2.3%
053-252-0500 1
 
2.3%
053-745-2876 1
 
2.3%
053-212-2026 1
 
2.3%
053-961-1606 1
 
2.3%
053-765-5566 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T23:35:31.548881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 103
19.4%
- 88
16.6%
5 81
15.3%
3 55
10.4%
2 43
8.1%
6 36
 
6.8%
1 36
 
6.8%
7 32
 
6.0%
4 28
 
5.3%
8 16
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 443
83.4%
Dash Punctuation 88
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
23.3%
5 81
18.3%
3 55
12.4%
2 43
9.7%
6 36
 
8.1%
1 36
 
8.1%
7 32
 
7.2%
4 28
 
6.3%
8 16
 
3.6%
9 13
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 531
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 103
19.4%
- 88
16.6%
5 81
15.3%
3 55
10.4%
2 43
8.1%
6 36
 
6.8%
1 36
 
6.8%
7 32
 
6.0%
4 28
 
5.3%
8 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 103
19.4%
- 88
16.6%
5 81
15.3%
3 55
10.4%
2 43
8.1%
6 36
 
6.8%
1 36
 
6.8%
7 32
 
6.0%
4 28
 
5.3%
8 16
 
3.0%

Interactions

2023-12-12T23:35:28.783419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:35:31.654289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기관명주소연락처
순번1.0001.0001.0001.000
기관명1.0001.0001.0001.000
주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-12T23:35:28.896456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:35:28.997949image/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

순번기관명주소연락처
01계명대학교동산의료원대구광역시 달서구 달구벌대로 1035(신당동)053-250-7854
12영남대학교의료원대구 남구 현충로 170 (대명동)053-640-6648
23칠곡경북대학교병원대구 북구 호국로 807 (학정동)053-200-2044
34대구한의대학교의료원대구광역시 수성구 신천동로 136053-770-2048
45대구파티마병원대구광역시 동구 아양로 99(신암동)053-940-7620
56나사렛종합병원대구광역시 달서구 월배로 97 (진천동)053-212-3411
67대구의료원대구 서구 평리로 157 (중리동)053-560-9341
78세강병원대구 달서구 구마로 220 (송현동, 세강병원)053-620-6122
89한미병원대구 달서구 이곡동로 66 (이곡동)053-284-0119
910곽병원대구광역시 중구 국채보상로 531 (수동)053-605-3750
순번기관명주소연락처
3435한국의학연구소(KMI)대구광역시 중구 국채보상로 611(문화동, 대구시티센터 5층)02-3702-9070
3536SM영상의학과대구광역시 중구 공평로 16 (삼덕동2가) 에스엠메디컬타워053-420-1155
3637창한방병원대구광역시 달서구 달구벌대로 1616 (감삼동, 핸즈미세빌딩)053-556-9900
3738코비한의원대구광역시 수성구 동대구로 59길 8-12, 5층(범어동)053-753-9795
3839누네안과병원대구광역시 중구 달구벌대로 2179, 2~6층(삼덕동2가, 눈빌딩)070-4666-1910
3940잘보는안과의원대구광역시 수성구 수성로 197 (중동, 잘보는안과)053-766-4455
4041박종수신경외과의원대구광역시 달서구 달구벌대로 1666 (두류동, 감삼스퀘어) 2층 205호053-657-9201
4142마크원외과대구광역시 수성구 무학로 65 (상동) 2층053-285-6000
4243더원이비인후과의원대구광역시 수성구 수성로 218 (중동) 4.5.6층053-716-1811
4344코리아이비인후과의원대구광역시 중구 남산로 83-1 (남산동)053-255-4220