Overview

Dataset statistics

Number of variables5
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory43.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description대구_의료관광선도기관_20200525
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15046170&dataSetDetailId=150461701d694c371bcfe&provdMethod=FILE

Alerts

순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
기 관 명 has unique valuesUnique
주 소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 18:27:20.013939
Analysis finished2023-12-10 18:27:21.616209
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T03:27:21.715093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-11T03:27:21.968840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
성형피부
18 
병원급
16 
대학병원
6 
치과
6 
건강검진
5 
Other values (2)
6 

Length

Max length4
Median length4
Mean length3.2982456
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성형피부 18
31.6%
병원급 16
28.1%
대학병원 6
 
10.5%
치과 6
 
10.5%
건강검진 5
 
8.8%
한방 3
 
5.3%
기타 3
 
5.3%

Length

2023-12-11T03:27:22.644529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:22.895168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성형피부 18
31.6%
병원급 16
28.1%
대학병원 6
 
10.5%
치과 6
 
10.5%
건강검진 5
 
8.8%
한방 3
 
5.3%
기타 3
 
5.3%

기 관 명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T03:27:23.303682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.877193
Min length3

Characters and Unicode

Total characters449
Distinct characters128
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

Unique57 ?
Unique (%)100.0%

Sample

1st row경북대학교병원
2nd row영남대학교의료원
3rd row계명대학교동산의료원
4th row대구가톨릭대학교의료원
5th row대구한의대부속한방병원
ValueCountFrequency (%)
경북대학교병원 1
 
1.6%
뉴욕치과 1
 
1.6%
성형외과 1
 
1.6%
비엘성형외과피부과의원 1
 
1.6%
리더스성형외과 1
 
1.6%
유스템통증의학과의원 1
 
1.6%
대구세브란스피부과의원 1
 
1.6%
김덕영성형외과 1
 
1.6%
애플피부과 1
 
1.6%
고운미피부과의원 1
 
1.6%
Other values (52) 52
83.9%
2023-12-11T03:27:23.969179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 47
 
10.5%
의 32
 
7.1%
과 29
 
6.5%
병 22
 
4.9%
대 17
 
3.8%
성 13
 
2.9%
학 11
 
2.4%
구 11
 
2.4%
형 10
 
2.2%
외 10
 
2.2%
Other values (118) 247
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
94.7%
Close Punctuation 7
 
1.6%
Open Punctuation 7
 
1.6%
Space Separator 5
 
1.1%
Decimal Number 2
 
0.4%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 47
 
11.1%
의 32
 
7.5%
과 29
 
6.8%
병 22
 
5.2%
대 17
 
4.0%
성 13
 
3.1%
학 11
 
2.6%
구 11
 
2.6%
형 10
 
2.4%
외 10
 
2.4%
Other values (110) 223
52.5%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
5 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
94.7%
Common 22
 
4.9%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 47
 
11.1%
의 32
 
7.5%
과 29
 
6.8%
병 22
 
5.2%
대 17
 
4.0%
성 13
 
3.1%
학 11
 
2.6%
구 11
 
2.6%
형 10
 
2.4%
외 10
 
2.4%
Other values (110) 223
52.5%
Common
ValueCountFrequency (%)
) 7
31.8%
( 7
31.8%
5
22.7%
6 1
 
4.5%
5 1
 
4.5%
& 1
 
4.5%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
94.7%
ASCII 24
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 47
 
11.1%
의 32
 
7.5%
과 29
 
6.8%
병 22
 
5.2%
대 17
 
4.0%
성 13
 
3.1%
학 11
 
2.6%
구 11
 
2.6%
형 10
 
2.4%
외 10
 
2.4%
Other values (110) 223
52.5%
ASCII
ValueCountFrequency (%)
) 7
29.2%
( 7
29.2%
5
20.8%
6 1
 
4.2%
5 1
 
4.2%
M 1
 
4.2%
S 1
 
4.2%
& 1
 
4.2%

주 소
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T03:27:24.525313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length19.157895
Min length9

Characters and Unicode

Total characters1092
Distinct characters107
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

Unique57 ?
Unique (%)100.0%

Sample

1st row중구 동덕로 130 (삼덕동2가)
2nd row남구 현충로 170 (대명동)
3rd row중구 달성로 56 (동산동)
4th row남구 두류공원로 17길 33 (대명동)
5th row수성구 신천동로 136 (상동)
ValueCountFrequency (%)
중구 32
 
13.6%
달구벌대로 15
 
6.4%
수성구 11
 
4.7%
국채보상로 6
 
2.5%
동성로 5
 
2.1%
동대구로 5
 
2.1%
달서구 5
 
2.1%
남구 4
 
1.7%
동구 3
 
1.3%
봉산동 3
 
1.3%
Other values (127) 147
62.3%
2023-12-11T03:27:25.356169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
17.2%
구 80
 
7.3%
동 70
 
6.4%
로 60
 
5.5%
1 55
 
5.0%
( 47
 
4.3%
) 47
 
4.3%
2 45
 
4.1%
중 36
 
3.3%
대 28
 
2.6%
Other values (97) 436
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
52.9%
Decimal Number 216
 
19.8%
Space Separator 188
 
17.2%
Open Punctuation 47
 
4.3%
Close Punctuation 47
 
4.3%
Other Punctuation 10
 
0.9%
Uppercase Letter 4
 
0.4%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 80
 
13.8%
동 70
 
12.1%
로 60
 
10.4%
중 36
 
6.2%
대 28
 
4.8%
성 23
 
4.0%
달 21
 
3.6%
층 17
 
2.9%
벌 15
 
2.6%
수 13
 
2.2%
Other values (78) 215
37.2%
Decimal Number
ValueCountFrequency (%)
1 55
25.5%
2 45
20.8%
6 22
 
10.2%
3 22
 
10.2%
7 18
 
8.3%
5 14
 
6.5%
9 11
 
5.1%
4 11
 
5.1%
0 9
 
4.2%
8 9
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
V 1
25.0%
S 1
25.0%
C 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
52.9%
Common 510
46.7%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 80
 
13.8%
동 70
 
12.1%
로 60
 
10.4%
중 36
 
6.2%
대 28
 
4.8%
성 23
 
4.0%
달 21
 
3.6%
층 17
 
2.9%
벌 15
 
2.6%
수 13
 
2.2%
Other values (78) 215
37.2%
Common
ValueCountFrequency (%)
188
36.9%
1 55
 
10.8%
( 47
 
9.2%
) 47
 
9.2%
2 45
 
8.8%
6 22
 
4.3%
3 22
 
4.3%
7 18
 
3.5%
5 14
 
2.7%
9 11
 
2.2%
Other values (5) 41
 
8.0%
Latin
ValueCountFrequency (%)
V 1
25.0%
S 1
25.0%
C 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 578
52.9%
ASCII 514
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
36.6%
1 55
 
10.7%
( 47
 
9.1%
) 47
 
9.1%
2 45
 
8.8%
6 22
 
4.3%
3 22
 
4.3%
7 18
 
3.5%
5 14
 
2.7%
9 11
 
2.1%
Other values (9) 45
 
8.8%
Hangul
ValueCountFrequency (%)
구 80
 
13.8%
동 70
 
12.1%
로 60
 
10.4%
중 36
 
6.2%
대 28
 
4.8%
성 23
 
4.0%
달 21
 
3.6%
층 17
 
2.9%
벌 15
 
2.6%
수 13
 
2.2%
Other values (78) 215
37.2%

연락처
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T03:27:25.799686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.964912
Min length9

Characters and Unicode

Total characters682
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row053-200-5924
2nd row053-620-3500
3rd row053-250-7854
4th row053-650-4715
5th row053-770-2048
ValueCountFrequency (%)
053-200-5924 1
 
1.8%
053-426-5151 1
 
1.8%
053-600-1008 1
 
1.8%
053-423-3322 1
 
1.8%
053-719-0699 1
 
1.8%
053-784-0555 1
 
1.8%
053-759-0888 1
 
1.8%
053-761-8888 1
 
1.8%
053-253-0707 1
 
1.8%
053-427-9090 1
 
1.8%
Other values (47) 47
82.5%
2023-12-11T03:27:26.489601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 139
20.4%
- 113
16.6%
5 100
14.7%
3 80
11.7%
2 51
 
7.5%
7 49
 
7.2%
1 39
 
5.7%
4 34
 
5.0%
9 28
 
4.1%
6 28
 
4.1%
Other values (2) 21
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 568
83.3%
Dash Punctuation 113
 
16.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
24.5%
5 100
17.6%
3 80
14.1%
2 51
 
9.0%
7 49
 
8.6%
1 39
 
6.9%
4 34
 
6.0%
9 28
 
4.9%
6 28
 
4.9%
8 20
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 682
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 139
20.4%
- 113
16.6%
5 100
14.7%
3 80
11.7%
2 51
 
7.5%
7 49
 
7.2%
1 39
 
5.7%
4 34
 
5.0%
9 28
 
4.1%
6 28
 
4.1%
Other values (2) 21
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 139
20.4%
- 113
16.6%
5 100
14.7%
3 80
11.7%
2 51
 
7.5%
7 49
 
7.2%
1 39
 
5.7%
4 34
 
5.0%
9 28
 
4.1%
6 28
 
4.1%
Other values (2) 21
 
3.1%

Interactions

2023-12-11T03:27:21.214134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:27:26.654736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분기 관 명주 소연락처
순번1.0000.9231.0001.0001.000
구분0.9231.0001.0001.0001.000
기 관 명1.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000
2023-12-11T03:27:26.821825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.777
구분0.7771.000

Missing values

2023-12-11T03:27:21.393951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:27:21.564751image/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

순번구분기 관 명주 소연락처
01대학병원경북대학교병원중구 동덕로 130 (삼덕동2가)053-200-5924
12대학병원영남대학교의료원남구 현충로 170 (대명동)053-620-3500
23대학병원계명대학교동산의료원중구 달성로 56 (동산동)053-250-7854
34대학병원대구가톨릭대학교의료원남구 두류공원로 17길 33 (대명동)053-650-4715
45대학병원대구한의대부속한방병원수성구 신천동로 136 (상동)053-770-2048
56대학병원칠곡경북대학교병원(신규)북구 호국로 807(학정동)053-200-2044
67병원급대구파티마병원동구 아양로 99 (신암동)053-940-7620
78병원급대구의료원서구 평리로 157(중리동 1162)053-560-9331
89병원급효성병원수성구 수성로 194 (중동)053-212-7924
910병원급세강병원달서구 구마로 220 (송현동)053-620-6122
순번구분기 관 명주 소연락처
4748한방대구자생한방병원중구 달구벌대로 2033, (동산동, 메디센터)053-715-7100
4849한방우송한의원수성구 달구벌대로 3257053-791-9777
4950건강검진한국건강관리협회 대구지부동구 장등로 16 (신천동)053-757-0552
5051건강검진대경영상의학과의원수성구 동대구로 311 (범어동) 범어애플타워 4층053-742-0100
5152건강검진한국의학연구소 대구검진센터중구 국채보상로 611(문화동, 대구시티센터 5층)053-430-5010
5253건강검진닥터스영상의학과의원중구 동성로 115, 202호(삼덕동2가, 진석타워2층 )053-428-0100
5354건강검진SM영상의학과중구 공평로 16053-420-1100
5455기타연세에스비뇨의학과의원중구 달구벌대로 2202 (대봉동)053-253-5825
5556기타누네안과병원중구 달구벌대로 2179053-715-3300
5657기타메트로아이센터안과중구 국채보상로 611(문화동, 대구시티센터 6층)053-253-0037