Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.6 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description대구광역시_의료관광 선도의료기관_20190301
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15046169&dataSetDetailId=150461691ded46b3b4b16&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 20:01:31.911715
Analysis finished2023-12-10 20:01:34.220163
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T05:01:34.347021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2023-12-11T05:01:34.572643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
성형피부
16 
병원급
14 
대학병원
5 
치과
5 
건강검진
5 
Other values (2)
5 

Length

Max length4
Median length4
Mean length3.32
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성형피부 16
32.0%
병원급 14
28.0%
대학병원 5
 
10.0%
치과 5
 
10.0%
건강검진 5
 
10.0%
한방 3
 
6.0%
기타 2
 
4.0%

Length

2023-12-11T05:01:34.794977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:01:34.969021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성형피부 16
32.0%
병원급 14
28.0%
대학병원 5
 
10.0%
치과 5
 
10.0%
건강검진 5
 
10.0%
한방 3
 
6.0%
기타 2
 
4.0%

기 관 명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T05:01:35.354459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length7.56
Min length3

Characters and Unicode

Total characters378
Distinct characters116
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row경북대학교병원
2nd row영남대학교의료원
3rd row계명대학교동산의료원
4th row대구가톨릭대학교의료원
5th row대구한의대부속한방병원
ValueCountFrequency (%)
경북대학교병원 1
 
1.8%
뉴욕치과의원 1
 
1.8%
엘제이비뇨기과의원 1
 
1.8%
비엘성형외과피부과의원 1
 
1.8%
리더스성형외과(재지정 1
 
1.8%
유마스템의원대구점 1
 
1.8%
대구세브란스피부과 1
 
1.8%
김덕영성형외과 1
 
1.8%
애플피부과 1
 
1.8%
고은미피부과 1
 
1.8%
Other values (45) 45
81.8%
2023-12-11T05:01:35.958454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 34
 
9.0%
과 24
 
6.3%
병 20
 
5.3%
의 18
 
4.8%
대 17
 
4.5%
성 12
 
3.2%
구 11
 
2.9%
형 9
 
2.4%
외 9
 
2.4%
( 8
 
2.1%
Other values (106) 216
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
92.9%
Open Punctuation 8
 
2.1%
Close Punctuation 8
 
2.1%
Space Separator 5
 
1.3%
Uppercase Letter 5
 
1.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 34
 
9.7%
과 24
 
6.8%
병 20
 
5.7%
의 18
 
5.1%
대 17
 
4.8%
성 12
 
3.4%
구 11
 
3.1%
형 9
 
2.6%
외 9
 
2.6%
학 7
 
2.0%
Other values (98) 190
54.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
40.0%
S 1
20.0%
K 1
20.0%
I 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
92.9%
Common 22
 
5.8%
Latin 5
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 34
 
9.7%
과 24
 
6.8%
병 20
 
5.7%
의 18
 
5.1%
대 17
 
4.8%
성 12
 
3.4%
구 11
 
3.1%
형 9
 
2.6%
외 9
 
2.6%
학 7
 
2.0%
Other values (98) 190
54.1%
Common
ValueCountFrequency (%)
( 8
36.4%
) 8
36.4%
5
22.7%
& 1
 
4.5%
Latin
ValueCountFrequency (%)
M 2
40.0%
S 1
20.0%
K 1
20.0%
I 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
92.9%
ASCII 27
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 34
 
9.7%
과 24
 
6.8%
병 20
 
5.7%
의 18
 
5.1%
대 17
 
4.8%
성 12
 
3.4%
구 11
 
3.1%
형 9
 
2.6%
외 9
 
2.6%
학 7
 
2.0%
Other values (98) 190
54.1%
ASCII
ValueCountFrequency (%)
( 8
29.6%
) 8
29.6%
5
18.5%
M 2
 
7.4%
S 1
 
3.7%
K 1
 
3.7%
I 1
 
3.7%
& 1
 
3.7%

주 소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T05:01:36.522402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length19.02
Min length9

Characters and Unicode

Total characters951
Distinct characters100
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

Unique50 ?
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 28
 
13.3%
달구벌대로 13
 
6.2%
수성구 10
 
4.8%
달서구 5
 
2.4%
동성로 5
 
2.4%
국채보상로 5
 
2.4%
동대구로 4
 
1.9%
남구 3
 
1.4%
동구 3
 
1.4%
봉산동 2
 
1.0%
Other values (115) 132
62.9%
2023-12-11T05:01:37.312215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
17.7%
구 69
 
7.3%
동 61
 
6.4%
로 53
 
5.6%
1 48
 
5.0%
2 43
 
4.5%
( 39
 
4.1%
) 39
 
4.1%
중 31
 
3.3%
성 22
 
2.3%
Other values (90) 378
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 500
52.6%
Decimal Number 192
 
20.2%
Space Separator 168
 
17.7%
Open Punctuation 39
 
4.1%
Close Punctuation 39
 
4.1%
Other Punctuation 7
 
0.7%
Uppercase Letter 4
 
0.4%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
 
13.8%
동 61
 
12.2%
로 53
 
10.6%
중 31
 
6.2%
성 22
 
4.4%
대 21
 
4.2%
달 19
 
3.8%
층 14
 
2.8%
벌 13
 
2.6%
수 12
 
2.4%
Other values (71) 185
37.0%
Decimal Number
ValueCountFrequency (%)
1 48
25.0%
2 43
22.4%
3 20
10.4%
6 19
 
9.9%
5 14
 
7.3%
7 14
 
7.3%
4 11
 
5.7%
9 10
 
5.2%
0 7
 
3.6%
8 6
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
V 1
25.0%
G 1
25.0%
C 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 500
52.6%
Common 447
47.0%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
 
13.8%
동 61
 
12.2%
로 53
 
10.6%
중 31
 
6.2%
성 22
 
4.4%
대 21
 
4.2%
달 19
 
3.8%
층 14
 
2.8%
벌 13
 
2.6%
수 12
 
2.4%
Other values (71) 185
37.0%
Common
ValueCountFrequency (%)
168
37.6%
1 48
 
10.7%
2 43
 
9.6%
( 39
 
8.7%
) 39
 
8.7%
3 20
 
4.5%
6 19
 
4.3%
5 14
 
3.1%
7 14
 
3.1%
4 11
 
2.5%
Other values (5) 32
 
7.2%
Latin
ValueCountFrequency (%)
V 1
25.0%
G 1
25.0%
C 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 500
52.6%
ASCII 451
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
37.3%
1 48
 
10.6%
2 43
 
9.5%
( 39
 
8.6%
) 39
 
8.6%
3 20
 
4.4%
6 19
 
4.2%
5 14
 
3.1%
7 14
 
3.1%
4 11
 
2.4%
Other values (9) 36
 
8.0%
Hangul
ValueCountFrequency (%)
구 69
 
13.8%
동 61
 
12.2%
로 53
 
10.6%
중 31
 
6.2%
성 22
 
4.4%
대 21
 
4.2%
달 19
 
3.8%
층 14
 
2.8%
벌 13
 
2.6%
수 12
 
2.4%
Other values (71) 185
37.0%

연락처
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T05:01:37.760642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters600
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

Unique50 ?
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
 
2.0%
053-212-1099 1
 
2.0%
053-253-5825 1
 
2.0%
053-600-1008 1
 
2.0%
053-423-3322 1
 
2.0%
053-719-0699 1
 
2.0%
053-784-0555 1
 
2.0%
053-759-0888 1
 
2.0%
053-761-8888 1
 
2.0%
053-253-0707 1
 
2.0%
Other values (40) 40
80.0%
2023-12-11T05:01:38.494159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
19.3%
- 100
16.7%
5 89
14.8%
3 73
12.2%
2 46
 
7.7%
7 44
 
7.3%
1 37
 
6.2%
4 28
 
4.7%
9 27
 
4.5%
8 21
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
83.3%
Dash Punctuation 100
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 116
23.2%
5 89
17.8%
3 73
14.6%
2 46
 
9.2%
7 44
 
8.8%
1 37
 
7.4%
4 28
 
5.6%
9 27
 
5.4%
8 21
 
4.2%
6 19
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 116
19.3%
- 100
16.7%
5 89
14.8%
3 73
12.2%
2 46
 
7.7%
7 44
 
7.3%
1 37
 
6.2%
4 28
 
4.7%
9 27
 
4.5%
8 21
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
19.3%
- 100
16.7%
5 89
14.8%
3 73
12.2%
2 46
 
7.7%
7 44
 
7.3%
1 37
 
6.2%
4 28
 
4.7%
9 27
 
4.5%
8 21
 
3.5%

Interactions

2023-12-11T05:01:33.801572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T05:01:38.667982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분기 관 명주 소연락처
순번1.0000.9311.0001.0001.000
구분0.9311.0001.0001.0001.000
기 관 명1.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000
2023-12-11T05:01:38.854206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.793
구분0.7931.000

Missing values

2023-12-11T05:01:34.004780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T05:01:34.156363image/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
56병원급대구파티마병원동구 아양로 99 (신암동)053-940-7620
67병원급대구의료원서구 평리로 157(중리동 1162)053-560-9331
78병원급효성병원수성구 수성로 194 (중동)053-212-7924
89병원급세강병원달서구 구마로 220 (송현동)053-620-6122
910병원급여성메디파크병원수성구 동대구로 271 (범어동)053-740-7775
순번구분기 관 명주 소연락처
4041한방코비한의원(신규)수성구 동대구로 59길 8-12053-792-1779
4142한방대구자생한방병원중구 달구벌대로 2033, (동산동, 메디센터)053-715-7100
4243한방우송한의원수성구 달구벌대로 3257053-791-9777
4344건강검진건강관리협회 대구지부동구 장등로 16 (신천동)053-757-0552
4445건강검진대경영상의학과의원(재지정)수성구 동대구로 311 (범어동) 범어애플타워 4층053-742-0100
4546건강검진KMI 대구검진센터중구 국채보상로 611(문화동, 대구시티센터 5층)053-430-5010
4647건강검진닥터스영상의학과의원중구 동성로 115, 202호(삼덕동2가, 진석타워2층 )053-428-0100
4748건강검진SM영상의학과(신규)중구 공평로 16053-420-1100
4849기타엘제이비뇨기과의원중구 달구벌대로 2202053-253-5825
4950기타누네안과병원(재지정)중구 달구벌대로 2179053-715-3300