Overview

Dataset statistics

Number of variables15
Number of observations1388
Missing cells1573
Missing cells (%)7.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory164.1 KiB
Average record size in memory121.1 B

Variable types

Text10
Categorical4
Numeric1

Dataset

Description울산광역시 평일야간 및 휴일 진료 의료 기관 현황 정보(의료기관명, 소재지, 연락처, 근무시간 등)를 제공하고 있음.
URLhttps://www.data.go.kr/data/15055028/fileData.do

Alerts

일요일 is highly overall correlated with 공휴일High correlation
공휴일 is highly overall correlated with 일요일 and 1 other fieldsHigh correlation
기관분류 is highly overall correlated with 공휴일High correlation
일요일 is highly imbalanced (91.3%)Imbalance
공휴일 is highly imbalanced (77.4%)Imbalance
수요일 has 31 (2.2%) missing valuesMissing
목요일 has 54 (3.9%) missing valuesMissing
토요일 has 136 (9.8%) missing valuesMissing
일요일 진료 주 has 1335 (96.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:04:03.976916
Analysis finished2023-12-12 00:04:05.851235
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

Distinct1348
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T09:04:06.292385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.4027378
Min length4

Characters and Unicode

Total characters10275
Distinct characters446
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

Unique1315 ?
Unique (%)94.7%

Sample

1st row서울산보람병원
2nd row울산병원
3rd row울산엘리야병원
4th row의료법인동강의료재단동강병원
5th row의료법인동강의료재단동천동강병원
ValueCountFrequency (%)
한의원 4
 
0.3%
제일한의원 3
 
0.2%
강남피부과의원 3
 
0.2%
우리이비인후과의원 3
 
0.2%
경희한의원 3
 
0.2%
새현대의원 3
 
0.2%
굿모닝이비인후과의원 3
 
0.2%
플러스치과의원 3
 
0.2%
니즈연합치과의원 2
 
0.1%
하나가정의학과의원 2
 
0.1%
Other values (1348) 1375
97.9%
2023-12-12T09:04:06.705028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 1436
 
14.0%
원 1418
 
13.8%
과 879
 
8.6%
치 414
 
4.0%
한 349
 
3.4%
이 186
 
1.8%
정 164
 
1.6%
인 139
 
1.4%
울 124
 
1.2%
산 124
 
1.2%
Other values (436) 5042
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10173
99.0%
Uppercase Letter 28
 
0.3%
Decimal Number 24
 
0.2%
Space Separator 16
 
0.2%
Close Punctuation 11
 
0.1%
Open Punctuation 10
 
0.1%
Lowercase Letter 10
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1436
 
14.1%
원 1418
 
13.9%
과 879
 
8.6%
치 414
 
4.1%
한 349
 
3.4%
이 186
 
1.8%
정 164
 
1.6%
인 139
 
1.4%
울 124
 
1.2%
산 124
 
1.2%
Other values (410) 4940
48.6%
Uppercase Letter
ValueCountFrequency (%)
S 9
32.1%
B 7
25.0%
D 2
 
7.1%
C 2
 
7.1%
K 2
 
7.1%
H 1
 
3.6%
J 1
 
3.6%
W 1
 
3.6%
L 1
 
3.6%
I 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
3 8
33.3%
6 7
29.2%
5 7
29.2%
1 1
 
4.2%
2 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
60.0%
s 1
 
10.0%
u 1
 
10.0%
l 1
 
10.0%
p 1
 
10.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10173
99.0%
Common 64
 
0.6%
Latin 38
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1436
 
14.1%
원 1418
 
13.9%
과 879
 
8.6%
치 414
 
4.1%
한 349
 
3.4%
이 186
 
1.8%
정 164
 
1.6%
인 139
 
1.4%
울 124
 
1.2%
산 124
 
1.2%
Other values (410) 4940
48.6%
Latin
ValueCountFrequency (%)
S 9
23.7%
B 7
18.4%
e 6
15.8%
D 2
 
5.3%
C 2
 
5.3%
K 2
 
5.3%
H 1
 
2.6%
J 1
 
2.6%
s 1
 
2.6%
u 1
 
2.6%
Other values (6) 6
15.8%
Common
ValueCountFrequency (%)
16
25.0%
) 11
17.2%
( 10
15.6%
3 8
12.5%
6 7
10.9%
5 7
10.9%
- 2
 
3.1%
& 1
 
1.6%
1 1
 
1.6%
2 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10173
99.0%
ASCII 102
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 1436
 
14.1%
원 1418
 
13.9%
과 879
 
8.6%
치 414
 
4.1%
한 349
 
3.4%
이 186
 
1.8%
정 164
 
1.6%
인 139
 
1.4%
울 124
 
1.2%
산 124
 
1.2%
Other values (410) 4940
48.6%
ASCII
ValueCountFrequency (%)
16
15.7%
) 11
10.8%
( 10
9.8%
S 9
8.8%
3 8
7.8%
6 7
 
6.9%
B 7
 
6.9%
5 7
 
6.9%
e 6
 
5.9%
D 2
 
2.0%
Other values (16) 19
18.6%

기관주소(도로명)
Text

Distinct1302
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T09:04:07.019619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length27.507205
Min length19

Characters and Unicode

Total characters38180
Distinct characters347
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1223 ?
Unique (%)88.1%

Sample

1st row울산광역시 울주군 삼남읍 중평로 53, 서울산보람병원
2nd row울산광역시 남구 월평로171번길 13 (신정동)
3rd row울산광역시 북구 호계로 285 (호계동)
4th row울산광역시 중구 태화로 239 (태화동)
5th row울산광역시 중구 외솔큰길 215 (남외동, 동천동강병원)
ValueCountFrequency (%)
울산광역시 1388
 
16.7%
남구 613
 
7.4%
중구 236
 
2.8%
2층 212
 
2.6%
울주군 188
 
2.3%
삼산로 183
 
2.2%
북구 180
 
2.2%
동구 171
 
2.1%
삼산동 163
 
2.0%
신정동 144
 
1.7%
Other values (1161) 4834
58.2%
2023-12-12T09:04:07.502094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6924
 
18.1%
산 1945
 
5.1%
울 1602
 
4.2%
동 1486
 
3.9%
시 1402
 
3.7%
광 1389
 
3.6%
역 1389
 
3.6%
( 1300
 
3.4%
) 1300
 
3.4%
구 1272
 
3.3%
Other values (337) 18171
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21710
56.9%
Space Separator 6924
 
18.1%
Decimal Number 5523
 
14.5%
Open Punctuation 1300
 
3.4%
Close Punctuation 1300
 
3.4%
Other Punctuation 1161
 
3.0%
Dash Punctuation 105
 
0.3%
Uppercase Letter 74
 
0.2%
Math Symbol 58
 
0.2%
Lowercase Letter 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1945
 
9.0%
울 1602
 
7.4%
동 1486
 
6.8%
시 1402
 
6.5%
광 1389
 
6.4%
역 1389
 
6.4%
구 1272
 
5.9%
로 1161
 
5.3%
층 770
 
3.5%
남 732
 
3.4%
Other values (290) 8562
39.4%
Uppercase Letter
ValueCountFrequency (%)
M 14
18.9%
S 13
17.6%
B 8
10.8%
G 6
8.1%
C 5
 
6.8%
K 4
 
5.4%
L 3
 
4.1%
N 3
 
4.1%
E 3
 
4.1%
A 2
 
2.7%
Other values (9) 13
17.6%
Decimal Number
ValueCountFrequency (%)
1 1002
18.1%
2 994
18.0%
3 695
12.6%
4 494
8.9%
5 483
8.7%
0 460
8.3%
6 420
7.6%
7 413
7.5%
8 323
 
5.8%
9 239
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
y 6
24.0%
k 6
24.0%
e 4
16.0%
i 2
 
8.0%
m 2
 
8.0%
s 2
 
8.0%
r 1
 
4.0%
t 1
 
4.0%
n 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1157
99.7%
& 2
 
0.2%
' 1
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6924
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Math Symbol
ValueCountFrequency (%)
~ 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21710
56.9%
Common 16371
42.9%
Latin 99
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1945
 
9.0%
울 1602
 
7.4%
동 1486
 
6.8%
시 1402
 
6.5%
광 1389
 
6.4%
역 1389
 
6.4%
구 1272
 
5.9%
로 1161
 
5.3%
층 770
 
3.5%
남 732
 
3.4%
Other values (290) 8562
39.4%
Latin
ValueCountFrequency (%)
M 14
14.1%
S 13
13.1%
B 8
 
8.1%
G 6
 
6.1%
y 6
 
6.1%
k 6
 
6.1%
C 5
 
5.1%
K 4
 
4.0%
e 4
 
4.0%
L 3
 
3.0%
Other values (18) 30
30.3%
Common
ValueCountFrequency (%)
6924
42.3%
( 1300
 
7.9%
) 1300
 
7.9%
, 1157
 
7.1%
1 1002
 
6.1%
2 994
 
6.1%
3 695
 
4.2%
4 494
 
3.0%
5 483
 
3.0%
0 460
 
2.8%
Other values (9) 1562
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21709
56.9%
ASCII 16470
43.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6924
42.0%
( 1300
 
7.9%
) 1300
 
7.9%
, 1157
 
7.0%
1 1002
 
6.1%
2 994
 
6.0%
3 695
 
4.2%
4 494
 
3.0%
5 483
 
2.9%
0 460
 
2.8%
Other values (37) 1661
 
10.1%
Hangul
ValueCountFrequency (%)
산 1945
 
9.0%
울 1602
 
7.4%
동 1486
 
6.8%
시 1402
 
6.5%
광 1389
 
6.4%
역 1389
 
6.4%
구 1272
 
5.9%
로 1161
 
5.3%
층 770
 
3.5%
남 732
 
3.4%
Other values (289) 8561
39.4%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

대표전화
Text

Distinct1384
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-12T09:04:07.779127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.990634
Min length9

Characters and Unicode

Total characters16643
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

Unique1380 ?
Unique (%)99.4%

Sample

1st row052-255-7114
2nd row052-259-5000
3rd row052-290-2100
4th row052-241-1114
5th row052-702-3114
ValueCountFrequency (%)
052-241-2000 2
 
0.1%
052-972-7582 2
 
0.1%
052-241-3114 2
 
0.1%
052-235-4900 2
 
0.1%
052-282-1414 1
 
0.1%
052-272-2726 1
 
0.1%
052-716-2500 1
 
0.1%
052-256-7533 1
 
0.1%
052-261-5885 1
 
0.1%
052-244-0964 1
 
0.1%
Other values (1374) 1374
99.0%
2023-12-12T09:04:08.202800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3588
21.6%
- 2771
16.6%
5 2466
14.8%
0 2451
14.7%
7 1179
 
7.1%
8 948
 
5.7%
1 778
 
4.7%
6 721
 
4.3%
3 635
 
3.8%
9 597
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13872
83.4%
Dash Punctuation 2771
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3588
25.9%
5 2466
17.8%
0 2451
17.7%
7 1179
 
8.5%
8 948
 
6.8%
1 778
 
5.6%
6 721
 
5.2%
3 635
 
4.6%
9 597
 
4.3%
4 509
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 2771
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3588
21.6%
- 2771
16.6%
5 2466
14.8%
0 2451
14.7%
7 1179
 
7.1%
8 948
 
5.7%
1 778
 
4.7%
6 721
 
4.3%
3 635
 
3.8%
9 597
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3588
21.6%
- 2771
16.6%
5 2466
14.8%
0 2451
14.7%
7 1179
 
7.1%
8 948
 
5.7%
1 778
 
4.7%
6 721
 
4.3%
3 635
 
3.8%
9 597
 
3.6%

진료과목
Text

Distinct419
Distinct (%)30.2%
Missing1
Missing (%)0.1%
Memory size11.0 KiB
2023-12-12T09:04:08.431994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length162
Median length95
Mean length24.303533
Min length2

Characters and Unicode

Total characters33709
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)23.7%

Sample

1st row가정의학과,내과,마취통증의학과,병리과,산부인과,소아청소년과,신경외과,영상의학과,외과,응급의학과,정형외과,치과보철과,치주과
2nd row가정의학과,내과,마취통증의학과,비뇨의학과,산부인과,신경과,신경외과,안과,영상의학과,외과,응급의학과,이비인후과,재활의학과,정신건강의학과,정형외과,진단검사의학과,치과,흉부외과
3rd row내과,마취통증의학과,비뇨의학과,소아청소년과,신경과,신경외과,영상의학과,외과,이비인후과,재활의학과,정형외과,진단검사의학과,피부과
4th row가정의학과,내과,마취통증의학과,병리과,비뇨의학과,산부인과,성형외과,소아청소년과,신경과,신경외과,안과,영상의학과,외과,응급의학과,이비인후과,작업환경의학과,재활의학과,정신건강의학과,정형외과,진단검사의학과,치과,피부과,흉부외과
5th row내과,마취통증의학과,소아청소년과,신경외과,영상의학과,외과,응급의학과,정형외과,진단검사의학과,흉부외과
ValueCountFrequency (%)
치과 250
 
17.1%
사상체질과,침구과,한방내과,한방부인과,한방소아과,한방신경정신과,한방안이비인후피부과,한방재활의학과 154
 
10.5%
내과 48
 
3.3%
한방내과 30
 
2.1%
안과 29
 
2.0%
내과,소아청소년과,이비인후과,피부과 29
 
2.0%
피부과 29
 
2.0%
구강내과,구강병리과,구강악안면방사선과,구강안면외과,소아치과,예방치과,치과,치과교정과,치과보존과,치과보철과,치주과 27
 
1.8%
이비인후과 24
 
1.6%
침구과,한방내과,한방부인과,한방소아과,한방신경정신과,한방안이비인후피부과 23
 
1.6%
Other values (411) 820
56.0%
2023-12-12T09:04:08.872134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6533
19.4%
, 4809
 
14.3%
방 1788
 
5.3%
한 1573
 
4.7%
치 1059
 
3.1%
학 973
 
2.9%
의 968
 
2.9%
부 916
 
2.7%
소 908
 
2.7%
내 836
 
2.5%
Other values (60) 13346
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28824
85.5%
Other Punctuation 4809
 
14.3%
Space Separator 76
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6533
22.7%
방 1788
 
6.2%
한 1573
 
5.5%
치 1059
 
3.7%
학 973
 
3.4%
의 968
 
3.4%
부 916
 
3.2%
소 908
 
3.2%
내 836
 
2.9%
인 802
 
2.8%
Other values (58) 12468
43.3%
Other Punctuation
ValueCountFrequency (%)
, 4809
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28824
85.5%
Common 4885
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6533
22.7%
방 1788
 
6.2%
한 1573
 
5.5%
치 1059
 
3.7%
학 973
 
3.4%
의 968
 
3.4%
부 916
 
3.2%
소 908
 
3.2%
내 836
 
2.9%
인 802
 
2.8%
Other values (58) 12468
43.3%
Common
ValueCountFrequency (%)
, 4809
98.4%
76
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28824
85.5%
ASCII 4885
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6533
22.7%
방 1788
 
6.2%
한 1573
 
5.5%
치 1059
 
3.7%
학 973
 
3.4%
의 968
 
3.4%
부 916
 
3.2%
소 908
 
3.2%
내 836
 
2.9%
인 802
 
2.8%
Other values (58) 12468
43.3%
ASCII
ValueCountFrequency (%)
, 4809
98.4%
76
 
1.6%

월요일
Text

Distinct97
Distinct (%)7.0%
Missing5
Missing (%)0.4%
Memory size11.0 KiB
2023-12-12T09:04:09.113315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.992046
Min length9

Characters and Unicode

Total characters15202
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

Unique42 ?
Unique (%)3.0%

Sample

1st row08:30~17:30
2nd row09:00~18:00
3rd row09:00~18:00
4th row08:30~17:30
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 190
13.7%
09:00~18:30 175
12.7%
09:30~18:30 172
12.4%
09:00~19:00 151
10.9%
09:30~19:00 137
9.9%
10:00~19:00 102
 
7.4%
09:30~18:00 88
 
6.4%
10:00~18:30 38
 
2.7%
10:00~18:00 36
 
2.6%
10:00~20:00 19
 
1.4%
Other values (87) 275
19.9%
2023-12-12T09:04:09.517704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5883
38.7%
: 2755
18.1%
1 1588
 
10.4%
9 1503
 
9.9%
~ 1383
 
9.1%
3 1019
 
6.7%
8 828
 
5.4%
2 102
 
0.7%
7 83
 
0.5%
4 32
 
0.2%
Other values (2) 26
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11064
72.8%
Other Punctuation 2755
 
18.1%
Math Symbol 1383
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5883
53.2%
1 1588
 
14.4%
9 1503
 
13.6%
3 1019
 
9.2%
8 828
 
7.5%
2 102
 
0.9%
7 83
 
0.8%
4 32
 
0.3%
5 17
 
0.2%
6 9
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 2755
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1383
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5883
38.7%
: 2755
18.1%
1 1588
 
10.4%
9 1503
 
9.9%
~ 1383
 
9.1%
3 1019
 
6.7%
8 828
 
5.4%
2 102
 
0.7%
7 83
 
0.5%
4 32
 
0.2%
Other values (2) 26
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5883
38.7%
: 2755
18.1%
1 1588
 
10.4%
9 1503
 
9.9%
~ 1383
 
9.1%
3 1019
 
6.7%
8 828
 
5.4%
2 102
 
0.7%
7 83
 
0.5%
4 32
 
0.2%
Other values (2) 26
 
0.2%

화요일
Text

Distinct103
Distinct (%)7.5%
Missing6
Missing (%)0.4%
Memory size11.0 KiB
2023-12-12T09:04:09.786805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.994935
Min length10

Characters and Unicode

Total characters15195
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

Unique44 ?
Unique (%)3.2%

Sample

1st row08:30~17:30
2nd row09:00~18:00
3rd row09:00~18:00
4th row08:30~17:30
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 189
13.7%
09:00~18:30 173
12.5%
09:30~18:30 154
11.1%
09:00~19:00 146
10.6%
09:30~19:00 132
9.6%
10:00~19:00 96
 
6.9%
09:30~18:00 81
 
5.9%
10:00~18:00 36
 
2.6%
10:00~18:30 33
 
2.4%
09:30~20:00 23
 
1.7%
Other values (93) 319
23.1%
2023-12-12T09:04:10.162684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5919
39.0%
: 2757
18.1%
1 1551
 
10.2%
9 1482
 
9.8%
~ 1382
 
9.1%
3 1019
 
6.7%
8 793
 
5.2%
2 152
 
1.0%
7 78
 
0.5%
4 35
 
0.2%
Other values (2) 27
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11056
72.8%
Other Punctuation 2757
 
18.1%
Math Symbol 1382
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5919
53.5%
1 1551
 
14.0%
9 1482
 
13.4%
3 1019
 
9.2%
8 793
 
7.2%
2 152
 
1.4%
7 78
 
0.7%
4 35
 
0.3%
5 19
 
0.2%
6 8
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 2757
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1382
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15195
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5919
39.0%
: 2757
18.1%
1 1551
 
10.2%
9 1482
 
9.8%
~ 1382
 
9.1%
3 1019
 
6.7%
8 793
 
5.2%
2 152
 
1.0%
7 78
 
0.5%
4 35
 
0.2%
Other values (2) 27
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5919
39.0%
: 2757
18.1%
1 1551
 
10.2%
9 1482
 
9.8%
~ 1382
 
9.1%
3 1019
 
6.7%
8 793
 
5.2%
2 152
 
1.0%
7 78
 
0.5%
4 35
 
0.2%
Other values (2) 27
 
0.2%

수요일
Text

MISSING 

Distinct118
Distinct (%)8.7%
Missing31
Missing (%)2.2%
Memory size11.0 KiB
2023-12-12T09:04:10.407222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.991157
Min length9

Characters and Unicode

Total characters14915
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

Unique52 ?
Unique (%)3.8%

Sample

1st row08:30~17:30
2nd row09:00~18:00
3rd row09:00~18:00
4th row08:30~17:30
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 167
12.3%
09:00~18:30 155
11.4%
09:30~18:30 146
 
10.8%
09:00~19:00 137
 
10.1%
09:30~19:00 133
 
9.8%
10:00~19:00 86
 
6.3%
09:30~18:00 74
 
5.5%
09:00~13:00 32
 
2.4%
10:00~18:00 30
 
2.2%
10:00~18:30 29
 
2.1%
Other values (108) 368
27.1%
2023-12-12T09:04:10.807107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5783
38.8%
: 2702
18.1%
1 1554
 
10.4%
9 1442
 
9.7%
~ 1357
 
9.1%
3 1028
 
6.9%
8 733
 
4.9%
2 147
 
1.0%
4 74
 
0.5%
7 71
 
0.5%
Other values (2) 24
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10856
72.8%
Other Punctuation 2702
 
18.1%
Math Symbol 1357
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5783
53.3%
1 1554
 
14.3%
9 1442
 
13.3%
3 1028
 
9.5%
8 733
 
6.8%
2 147
 
1.4%
4 74
 
0.7%
7 71
 
0.7%
5 17
 
0.2%
6 7
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 2702
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1357
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14915
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5783
38.8%
: 2702
18.1%
1 1554
 
10.4%
9 1442
 
9.7%
~ 1357
 
9.1%
3 1028
 
6.9%
8 733
 
4.9%
2 147
 
1.0%
4 74
 
0.5%
7 71
 
0.5%
Other values (2) 24
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5783
38.8%
: 2702
18.1%
1 1554
 
10.4%
9 1442
 
9.7%
~ 1357
 
9.1%
3 1028
 
6.9%
8 733
 
4.9%
2 147
 
1.0%
4 74
 
0.5%
7 71
 
0.5%
Other values (2) 24
 
0.2%

목요일
Text

MISSING 

Distinct125
Distinct (%)9.4%
Missing54
Missing (%)3.9%
Memory size11.0 KiB
2023-12-12T09:04:11.046356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.993253
Min length10

Characters and Unicode

Total characters14665
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

Unique52 ?
Unique (%)3.9%

Sample

1st row08:30~17:30
2nd row09:00~18:00
3rd row09:00~18:00
4th row08:30~17:30
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 173
 
13.0%
09:00~18:30 143
 
10.7%
09:00~19:00 130
 
9.7%
09:30~18:30 119
 
8.9%
09:30~19:00 104
 
7.8%
10:00~19:00 74
 
5.5%
09:30~18:00 64
 
4.8%
14:00~18:30 38
 
2.8%
14:00~19:00 26
 
1.9%
10:00~18:30 23
 
1.7%
Other values (115) 440
33.0%
2023-12-12T09:04:11.502528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5635
38.4%
: 2659
18.1%
1 1575
 
10.7%
~ 1334
 
9.1%
9 1317
 
9.0%
3 970
 
6.6%
8 725
 
4.9%
2 180
 
1.2%
4 163
 
1.1%
7 78
 
0.5%
Other values (2) 29
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10672
72.8%
Other Punctuation 2659
 
18.1%
Math Symbol 1334
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5635
52.8%
1 1575
 
14.8%
9 1317
 
12.3%
3 970
 
9.1%
8 725
 
6.8%
2 180
 
1.7%
4 163
 
1.5%
7 78
 
0.7%
5 22
 
0.2%
6 7
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 2659
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1334
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14665
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5635
38.4%
: 2659
18.1%
1 1575
 
10.7%
~ 1334
 
9.1%
9 1317
 
9.0%
3 970
 
6.6%
8 725
 
4.9%
2 180
 
1.2%
4 163
 
1.1%
7 78
 
0.5%
Other values (2) 29
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5635
38.4%
: 2659
18.1%
1 1575
 
10.7%
~ 1334
 
9.1%
9 1317
 
9.0%
3 970
 
6.6%
8 725
 
4.9%
2 180
 
1.2%
4 163
 
1.1%
7 78
 
0.5%
Other values (2) 29
 
0.2%

금요일
Text

Distinct102
Distinct (%)7.4%
Missing5
Missing (%)0.4%
Memory size11.0 KiB
2023-12-12T09:04:11.760014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.993492
Min length9

Characters and Unicode

Total characters15204
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

Unique47 ?
Unique (%)3.4%

Sample

1st row08:30~17:30
2nd row09:00~18:00
3rd row09:00~18:00
4th row08:30~17:30
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 190
13.7%
09:00~18:30 172
12.4%
09:30~18:30 169
12.2%
09:00~19:00 151
10.9%
09:30~19:00 141
10.2%
10:00~19:00 106
 
7.7%
09:30~18:00 85
 
6.1%
10:00~18:00 39
 
2.8%
10:00~18:30 34
 
2.5%
09:30~17:30 17
 
1.2%
Other values (92) 279
20.2%
2023-12-12T09:04:12.139271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5885
38.7%
: 2757
18.1%
1 1591
 
10.5%
9 1507
 
9.9%
~ 1383
 
9.1%
3 1016
 
6.7%
8 821
 
5.4%
2 104
 
0.7%
7 81
 
0.5%
4 29
 
0.2%
Other values (2) 30
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11064
72.8%
Other Punctuation 2757
 
18.1%
Math Symbol 1383
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5885
53.2%
1 1591
 
14.4%
9 1507
 
13.6%
3 1016
 
9.2%
8 821
 
7.4%
2 104
 
0.9%
7 81
 
0.7%
4 29
 
0.3%
5 20
 
0.2%
6 10
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 2757
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1383
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5885
38.7%
: 2757
18.1%
1 1591
 
10.5%
9 1507
 
9.9%
~ 1383
 
9.1%
3 1016
 
6.7%
8 821
 
5.4%
2 104
 
0.7%
7 81
 
0.5%
4 29
 
0.2%
Other values (2) 30
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5885
38.7%
: 2757
18.1%
1 1591
 
10.5%
9 1507
 
9.9%
~ 1383
 
9.1%
3 1016
 
6.7%
8 821
 
5.4%
2 104
 
0.7%
7 81
 
0.5%
4 29
 
0.2%
Other values (2) 30
 
0.2%

토요일
Text

MISSING 

Distinct94
Distinct (%)7.5%
Missing136
Missing (%)9.8%
Memory size11.0 KiB
2023-12-12T09:04:12.388522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.98722
Min length10

Characters and Unicode

Total characters13756
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

Unique44 ?
Unique (%)3.5%

Sample

1st row08:30~12:30
2nd row09:00~13:00
3rd row09:00~13:00
4th row09:00~12:00
5th row09:00~13:00
ValueCountFrequency (%)
09:00~13:00 283
22.6%
09:30~13:00 162
12.9%
09:00~14:00 79
 
6.3%
09:30~14:00 71
 
5.7%
09:30~12:30 57
 
4.6%
09:00~12:30 54
 
4.3%
10:00~13:00 52
 
4.2%
09:00~15:00 44
 
3.5%
10:00~14:00 44
 
3.5%
09:30~15:00 30
 
2.4%
Other values (84) 376
30.0%
2023-12-12T09:04:12.742171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5500
40.0%
: 2489
18.1%
1 1450
 
10.5%
3 1297
 
9.4%
~ 1252
 
9.1%
9 1025
 
7.5%
4 237
 
1.7%
2 215
 
1.6%
5 133
 
1.0%
6 70
 
0.5%
Other values (2) 88
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10015
72.8%
Other Punctuation 2489
 
18.1%
Math Symbol 1252
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5500
54.9%
1 1450
 
14.5%
3 1297
 
13.0%
9 1025
 
10.2%
4 237
 
2.4%
2 215
 
2.1%
5 133
 
1.3%
6 70
 
0.7%
8 61
 
0.6%
7 27
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 2489
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5500
40.0%
: 2489
18.1%
1 1450
 
10.5%
3 1297
 
9.4%
~ 1252
 
9.1%
9 1025
 
7.5%
4 237
 
1.7%
2 215
 
1.6%
5 133
 
1.0%
6 70
 
0.5%
Other values (2) 88
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5500
40.0%
: 2489
18.1%
1 1450
 
10.5%
3 1297
 
9.4%
~ 1252
 
9.1%
9 1025
 
7.5%
4 237
 
1.7%
2 215
 
1.6%
5 133
 
1.0%
6 70
 
0.5%
Other values (2) 88
 
0.6%

일요일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct25
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1333 
09:00~13:00
 
10
09:00~18:00
 
6
09:00~17:00
 
5
10:00~16:00
 
4
Other values (20)
 
30

Length

Max length11
Median length4
Mean length4.2759366
Min length4

Unique

Unique14 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1333
96.0%
09:00~13:00 10
 
0.7%
09:00~18:00 6
 
0.4%
09:00~17:00 5
 
0.4%
10:00~16:00 4
 
0.3%
09:00~16:00 4
 
0.3%
10:00~17:00 3
 
0.2%
09:30~13:00 3
 
0.2%
10:00~15:00 2
 
0.1%
09:00~14:00 2
 
0.1%
Other values (15) 16
 
1.2%

Length

2023-12-12T09:04:12.885630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1333
96.0%
09:00~13:00 10
 
0.7%
09:00~18:00 6
 
0.4%
09:00~17:00 5
 
0.4%
10:00~16:00 4
 
0.3%
09:00~16:00 4
 
0.3%
10:00~17:00 3
 
0.2%
09:30~13:00 3
 
0.2%
09:00~15:00 2
 
0.1%
10:00~15:00 2
 
0.1%
Other values (15) 16
 
1.2%

공휴일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct36
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
<NA>
1186 
09:00~13:00
 
68
09:30~13:00
 
18
09:00~12:00
 
12
09:00~14:00
 
10
Other values (31)
 
94

Length

Max length11
Median length4
Mean length5.0172911
Min length4

Unique

Unique12 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1186
85.4%
09:00~13:00 68
 
4.9%
09:30~13:00 18
 
1.3%
09:00~12:00 12
 
0.9%
09:00~14:00 10
 
0.7%
09:00~12:30 9
 
0.6%
09:00~18:00 8
 
0.6%
09:00~16:00 8
 
0.6%
09:00~15:00 8
 
0.6%
09:00~17:00 7
 
0.5%
Other values (26) 54
 
3.9%

Length

2023-12-12T09:04:13.000924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1186
85.4%
09:00~13:00 68
 
4.9%
09:30~13:00 18
 
1.3%
09:00~12:00 12
 
0.9%
09:00~14:00 10
 
0.7%
09:00~12:30 9
 
0.6%
09:00~18:00 8
 
0.6%
09:00~16:00 8
 
0.6%
09:00~15:00 8
 
0.6%
09:30~12:30 7
 
0.5%
Other values (26) 54
 
3.9%

일요일 진료 주
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)13.2%
Missing1335
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean10557.17
Minimum4
Maximum12345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2023-12-12T09:04:13.112325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile90
Q112345
median12345
Q312345
95-th percentile12345
Maximum12345
Range12341
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4286.636
Coefficient of variation (CV)0.40604026
Kurtosis2.1779555
Mean10557.17
Median Absolute Deviation (MAD)0
Skewness-2.0188856
Sum559530
Variance18375248
MonotonicityNot monotonic
2023-12-12T09:04:13.216506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12345 45
 
3.2%
4 2
 
0.1%
1235 2
 
0.1%
1234 1
 
0.1%
24 1
 
0.1%
134 1
 
0.1%
135 1
 
0.1%
(Missing) 1335
96.2%
ValueCountFrequency (%)
4 2
 
0.1%
24 1
 
0.1%
134 1
 
0.1%
135 1
 
0.1%
1234 1
 
0.1%
1235 2
 
0.1%
12345 45
3.2%
ValueCountFrequency (%)
12345 45
3.2%
1235 2
 
0.1%
1234 1
 
0.1%
135 1
 
0.1%
134 1
 
0.1%
24 1
 
0.1%
4 2
 
0.1%

기관분류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
의원
634 
치과의원
385 
한의원
275 
요양병원
 
40
병원
 
34
Other values (5)
 
20

Length

Max length6
Median length4
Mean length2.8393372
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 634
45.7%
치과의원 385
27.7%
한의원 275
19.8%
요양병원 40
 
2.9%
병원 34
 
2.4%
종합병원 8
 
0.6%
한방병원 6
 
0.4%
치과병원 4
 
0.3%
상급종합병원 1
 
0.1%
치과 1
 
0.1%

Length

2023-12-12T09:04:13.355453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:04:13.490842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 634
45.7%
치과의원 385
27.7%
한의원 275
19.8%
요양병원 40
 
2.9%
병원 34
 
2.4%
종합병원 8
 
0.6%
한방병원 6
 
0.4%
치과병원 4
 
0.3%
상급종합병원 1
 
0.1%
치과 1
 
0.1%

구별
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
남구
613 
중구
236 
울주군
188 
북구
180 
동구
171 

Length

Max length3
Median length2
Mean length2.1354467
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울주군
2nd row남구
3rd row북구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
남구 613
44.2%
중구 236
 
17.0%
울주군 188
 
13.5%
북구 180
 
13.0%
동구 171
 
12.3%

Length

2023-12-12T09:04:13.618773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:04:13.719860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 613
44.2%
중구 236
 
17.0%
울주군 188
 
13.5%
북구 180
 
13.0%
동구 171
 
12.3%

Interactions

2023-12-12T09:04:05.252747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:04:13.811688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월요일토요일일요일공휴일일요일 진료 주기관분류구별
월요일1.0000.9920.5660.9080.7420.5870.289
토요일0.9921.0000.9760.9870.7530.5970.250
일요일0.5660.9761.0000.9710.3620.8030.000
공휴일0.9080.9870.9711.0000.7350.8290.000
일요일 진료 주0.7420.7530.3620.7351.0000.1690.340
기관분류0.5870.5970.8030.8290.1691.0000.000
구별0.2890.2500.0000.0000.3400.0001.000
2023-12-12T09:04:13.934700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일요일구별기관분류공휴일
일요일1.0000.0000.3620.742
구별0.0001.0000.0000.000
기관분류0.3620.0001.0000.500
공휴일0.7420.0000.5001.000
2023-12-12T09:04:14.038853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일요일 진료 주일요일공휴일기관분류구별
일요일 진료 주1.0000.2240.4430.1090.401
일요일0.2241.0000.7420.3620.000
공휴일0.4430.7421.0000.5000.000
기관분류0.1090.3620.5001.0000.000
구별0.4010.0000.0000.0001.000

Missing values

2023-12-12T09:04:05.389431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:04:05.579488image/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.
2023-12-12T09:04:05.749079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

기관명기관주소(도로명)대표전화진료과목월요일화요일수요일목요일금요일토요일일요일공휴일일요일 진료 주기관분류구별
0서울산보람병원울산광역시 울주군 삼남읍 중평로 53, 서울산보람병원052-255-7114가정의학과,내과,마취통증의학과,병리과,산부인과,소아청소년과,신경외과,영상의학과,외과,응급의학과,정형외과,치과보철과,치주과08:30~17:3008:30~17:3008:30~17:3008:30~17:3008:30~17:3008:30~12:30<NA><NA><NA>종합병원울주군
1울산병원울산광역시 남구 월평로171번길 13 (신정동)052-259-5000가정의학과,내과,마취통증의학과,비뇨의학과,산부인과,신경과,신경외과,안과,영상의학과,외과,응급의학과,이비인후과,재활의학과,정신건강의학과,정형외과,진단검사의학과,치과,흉부외과09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA><NA>종합병원남구
2울산엘리야병원울산광역시 북구 호계로 285 (호계동)052-290-2100내과,마취통증의학과,비뇨의학과,소아청소년과,신경과,신경외과,영상의학과,외과,이비인후과,재활의학과,정형외과,진단검사의학과,피부과09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA><NA>종합병원북구
3의료법인동강의료재단동강병원울산광역시 중구 태화로 239 (태화동)052-241-1114가정의학과,내과,마취통증의학과,병리과,비뇨의학과,산부인과,성형외과,소아청소년과,신경과,신경외과,안과,영상의학과,외과,응급의학과,이비인후과,작업환경의학과,재활의학과,정신건강의학과,정형외과,진단검사의학과,치과,피부과,흉부외과08:30~17:3008:30~17:3008:30~17:3008:30~17:3008:30~17:3009:00~12:00<NA><NA><NA>종합병원중구
4의료법인동강의료재단동천동강병원울산광역시 중구 외솔큰길 215 (남외동, 동천동강병원)052-702-3114내과,마취통증의학과,소아청소년과,신경외과,영상의학과,외과,응급의학과,정형외과,진단검사의학과,흉부외과09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA><NA>종합병원중구
5의료법인송은의료재단울산시티병원울산광역시 북구 산업로 1007 (연암동)052-280-9000가정의학과,내과,마취통증의학과,비뇨의학과,소아청소년과,신경과,신경외과,영상의학과,외과,응급의학과,이비인후과,재활의학과,정형외과,진단검사의학과,치주과09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA><NA>종합병원북구
6의료법인은성의료재단좋은삼정병원울산광역시 남구 북부순환도로 51 (무거동)052-220-7500가정의학과,내과,마취통증의학과,소아청소년과,신경과,신경외과,영상의학과,예방치과,외과,정형외과,진단검사의학과09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA><NA>종합병원남구
7의료법인정안의료재단중앙병원울산광역시 남구 문수로 472, 중앙병원 (신정동)052-226-1100내과,마취통증의학과,병리과,비뇨의학과,산업의학과,성형외과,신경과,신경외과,영상의학과,외과,응급의학과,작업환경의학과,재활의학과,정형외과,치과09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA><NA>종합병원남구
8학교법인울산공업학원울산대학교병원울산광역시 동구 대학병원로 25, 울산대학교병원 (전하동)052-250-7000가정의학과,구강안면외과,내과,마취통증의학과,방사선종양학과,병리과,비뇨의학과,산부인과,성형외과,소아청소년과,신경과,신경외과,안과,영상의학과,예방의학과,외과,응급의학과,이비인후과,작업환경의학과,재활의학과,정신건강의학과,정형외과,진단검사의학과,치과보존과,치과보철과,치주과,피부과,핵의학과,흉부외과09:00~17:3009:00~17:3009:00~17:3009:00~17:3009:00~17:30<NA><NA><NA><NA>상급종합병원동구
9(의)성덕의료재단간절곶자연요양병원울산광역시 울주군 서생면 용리길 165-11052-246-0002내과,마취통증의학과,침구과,한방내과09:00~17:3009:00~17:3009:00~17:3009:00~17:3009:00~17:30<NA><NA><NA><NA>요양병원울주군
기관명기관주소(도로명)대표전화진료과목월요일화요일수요일목요일금요일토요일일요일공휴일일요일 진료 주기관분류구별
1378활천당한의원울산광역시 동구 진성3길 56, 무지개상가 (전하동)052-252-8566사상체질과,침구과,한방내과,한방부인과,한방소아과,한방신경정신과,한방안이비인후피부과,한방재활의학과09:30~19:0009:30~19:0009:30~19:0009:30~19:0009:30~19:0009:30~13:00<NA><NA><NA>한의원동구
1379황기호정형외과의원울산광역시 동구 방어진순환도로 769 (전하동)052-252-7575가정의학과,내과,마취통증의학과,소아청소년과,신경외과,외과,재활의학과,정형외과,피부과09:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~13:00<NA><NA><NA>의원동구
1380황만근내과의원울산광역시 울주군 범서읍 천상길 17, 1층 (범서읍)052-248-7760내과,비뇨의학과,소아청소년과,피부과08:30~18:3008:30~18:3008:30~13:0008:30~18:3008:30~18:3008:30~14:0008:30~12:30<NA>4의원울주군
1381황명수한의원울산광역시 남구 중앙로 251 (신정동)052-271-8875사상체질과,한방내과,한방부인과,한방소아과,한방신경정신과,한방안이비인후피부과,한방재활의학과09:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~13:00<NA>09:00~13:00<NA>한의원남구
1382황인태영상의학과의원울산광역시 남구 삼산로 275, 7층 (삼산동, 킴스빌딩)052-257-9275영상의학과09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA><NA>의원남구
1383황태경치과의원울산광역시 동구 방어진순환도로 793, 1층 (전하동)052-234-3140치과10:00~18:3010:00~18:3010:00~18:3010:00~18:3010:00~18:3010:00~12:00<NA><NA><NA>치과의원동구
1384황한의원울산광역시 울주군 청량읍 덕하로 222, 1층052-237-4433침구과,한방내과,한방부인과,한방소아과,한방신경정신과,한방안이비인후피부과09:00~19:0009:00~19:0009:00~13:0009:00~19:0009:00~19:0009:00~13:00<NA><NA><NA>한의원울주군
1385훈치과의원울산광역시 남구 울밀로 2882, 2층 (무거동)052-277-7561치과09:30~19:0009:30~19:0009:30~19:0009:30~19:0009:30~19:0009:30~14:30<NA><NA><NA>치과의원남구
1386희망을심는치과의원울산광역시 중구 유곡로 11, 3층 (태화동)052-212-2879구강내과,구강악안면방사선과,구강안면외과,소아치과,예방치과,치과,치과보존과,치과보철과,치주과09:30~19:0009:30~19:0009:30~19:0009:30~19:0009:30~19:0009:30~14:00<NA><NA><NA>치과의원중구
1387희망찬치과의원울산광역시 북구 화산로 123, 5층 505호 (송정동)052-918-2875구강내과,구강병리과,구강악안면방사선과,구강안면외과,소아치과,예방치과,치과교정과,치과보존과,치과보철과,치주과,통합치의학과09:30~18:3009:30~18:3009:30~21:0009:30~18:3009:30~18:3009:30~13:30<NA><NA><NA>치과의원북구