Overview

Dataset statistics

Number of variables13
Number of observations773
Missing cells1515
Missing cells (%)15.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.6 KiB
Average record size in memory104.2 B

Variable types

Text5
Categorical7
DateTime1

Dataset

Description경기도 안산시 병원 정보를 제공합니다.(병원명,업무구분,대표전화,주소,월요일 진료,화요일 진료,수요일 진료,목요일 진료,금요일 진료,토요일 진료,일요일 진료,공휴일 진료,데이터기준일자)
URLhttps://www.data.go.kr/data/3035778/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
월요일 진료 is highly overall correlated with 화요일 진료 and 4 other fieldsHigh correlation
수요일 진료 is highly overall correlated with 월요일 진료 and 3 other fieldsHigh correlation
화요일 진료 is highly overall correlated with 월요일 진료 and 4 other fieldsHigh correlation
목요일 진료 is highly overall correlated with 월요일 진료 and 3 other fieldsHigh correlation
금요일 진료 is highly overall correlated with 월요일 진료 and 4 other fieldsHigh correlation
토요일 진료 is highly overall correlated with 월요일 진료 and 2 other fieldsHigh correlation
월요일 진료 is highly imbalanced (64.8%)Imbalance
화요일 진료 is highly imbalanced (65.1%)Imbalance
수요일 진료 is highly imbalanced (66.2%)Imbalance
목요일 진료 is highly imbalanced (66.4%)Imbalance
금요일 진료 is highly imbalanced (65.2%)Imbalance
토요일 진료 is highly imbalanced (66.7%)Imbalance
일요일 진료 has 761 (98.4%) missing valuesMissing
공휴일 진료 has 754 (97.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:12:54.173603
Analysis finished2023-12-12 02:12:55.937054
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병원명
Text

Distinct766
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T11:12:56.161136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length7.610608
Min length3

Characters and Unicode

Total characters5883
Distinct characters377
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique759 ?
Unique (%)98.2%

Sample

1st row안산 마루병원
2nd row성포마루한방병원
3rd row약산애한방병원
4th row바른한방병원
5th row서연의료소비자생활협동조합본원한방병원
ValueCountFrequency (%)
안산의료복지사회적협동조합 3
 
0.4%
연세가정의학과의원 2
 
0.3%
성모안과의원 2
 
0.3%
윤철연합의원·한의원 2
 
0.3%
본오마디의원·한의원 2
 
0.3%
의료법인 2
 
0.3%
한사랑치과의원 2
 
0.3%
해맑은치과의원 2
 
0.3%
명성의원 2
 
0.3%
이희승내과의원 1
 
0.1%
Other values (778) 778
97.5%
2023-12-12T11:12:56.624857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 796
 
13.5%
의 795
 
13.5%
과 464
 
7.9%
한 220
 
3.7%
치 212
 
3.6%
안 96
 
1.6%
산 89
 
1.5%
이 85
 
1.4%
정 80
 
1.4%
인 69
 
1.2%
Other values (367) 2977
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5792
98.5%
Decimal Number 30
 
0.5%
Space Separator 25
 
0.4%
Uppercase Letter 13
 
0.2%
Close Punctuation 5
 
0.1%
Lowercase Letter 5
 
0.1%
Other Punctuation 5
 
0.1%
Dash Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 796
 
13.7%
의 795
 
13.7%
과 464
 
8.0%
한 220
 
3.8%
치 212
 
3.7%
안 96
 
1.7%
산 89
 
1.5%
이 85
 
1.5%
정 80
 
1.4%
인 69
 
1.2%
Other values (344) 2886
49.8%
Uppercase Letter
ValueCountFrequency (%)
E 2
15.4%
S 2
15.4%
N 2
15.4%
B 2
15.4%
M 2
15.4%
O 1
7.7%
J 1
7.7%
W 1
7.7%
Decimal Number
ValueCountFrequency (%)
5 7
23.3%
6 7
23.3%
3 7
23.3%
1 3
10.0%
2 3
10.0%
8 2
 
6.7%
4 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
u 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
· 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5792
98.5%
Common 73
 
1.2%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 796
 
13.7%
의 795
 
13.7%
과 464
 
8.0%
한 220
 
3.8%
치 212
 
3.7%
안 96
 
1.7%
산 89
 
1.5%
이 85
 
1.5%
정 80
 
1.4%
인 69
 
1.2%
Other values (344) 2886
49.8%
Common
ValueCountFrequency (%)
25
34.2%
5 7
 
9.6%
6 7
 
9.6%
3 7
 
9.6%
) 5
 
6.8%
- 4
 
5.5%
( 4
 
5.5%
· 4
 
5.5%
1 3
 
4.1%
2 3
 
4.1%
Other values (3) 4
 
5.5%
Latin
ValueCountFrequency (%)
e 4
22.2%
E 2
11.1%
S 2
11.1%
N 2
11.1%
B 2
11.1%
M 2
11.1%
u 1
 
5.6%
O 1
 
5.6%
J 1
 
5.6%
W 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5792
98.5%
ASCII 87
 
1.5%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 796
 
13.7%
의 795
 
13.7%
과 464
 
8.0%
한 220
 
3.8%
치 212
 
3.7%
안 96
 
1.7%
산 89
 
1.5%
이 85
 
1.5%
정 80
 
1.4%
인 69
 
1.2%
Other values (344) 2886
49.8%
ASCII
ValueCountFrequency (%)
25
28.7%
5 7
 
8.0%
6 7
 
8.0%
3 7
 
8.0%
) 5
 
5.7%
e 4
 
4.6%
- 4
 
4.6%
( 4
 
4.6%
1 3
 
3.4%
2 3
 
3.4%
Other values (12) 18
20.7%
None
ValueCountFrequency (%)
· 4
100.0%

업무구분
Categorical

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
의원
361 
치과의원
201 
한의원
149 
병원
 
17
한방병원
 
16
Other values (6)
 
29

Length

Max length4
Median length3
Mean length2.8279431
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row병원
2nd row한방병원
3rd row한방병원
4th row한방병원
5th row한방병원

Common Values

ValueCountFrequency (%)
의원 361
46.7%
치과의원 201
26.0%
한의원 149
19.3%
병원 17
 
2.2%
한방병원 16
 
2.1%
요양병원 15
 
1.9%
종합병원 5
 
0.6%
치과병원 4
 
0.5%
정신병원 3
 
0.4%
보건지소 1
 
0.1%

Length

2023-12-12T11:12:56.813103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 361
46.7%
치과의원 201
26.0%
한의원 149
19.3%
병원 17
 
2.2%
한방병원 16
 
2.1%
요양병원 15
 
1.9%
종합병원 5
 
0.6%
치과병원 4
 
0.5%
정신병원 3
 
0.4%
보건지소 1
 
0.1%

대표전화
Text

Distinct771
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T11:12:57.136147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length12.012937
Min length8

Characters and Unicode

Total characters9286
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique769 ?
Unique (%)99.5%

Sample

1st row031-409-4100
2nd row031-410-4119
3rd row031-365-5875
4th row031-437-6700
5th row031-501-1199
ValueCountFrequency (%)
031-501-7577 2
 
0.3%
031-407-7575 2
 
0.3%
031-503-2275 1
 
0.1%
031-401-7576 1
 
0.1%
031-480-3718 1
 
0.1%
031-409-4100 1
 
0.1%
031-498-1063 1
 
0.1%
031-486-6632 1
 
0.1%
031-401-1373 1
 
0.1%
031-413-1277 1
 
0.1%
Other values (764) 764
98.5%
2023-12-12T11:12:57.668316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1535
16.5%
0 1501
16.2%
1 1331
14.3%
3 1125
12.1%
4 880
9.5%
8 646
7.0%
5 641
6.9%
7 600
 
6.5%
2 498
 
5.4%
9 288
 
3.1%
Other values (5) 241
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7742
83.4%
Dash Punctuation 1535
 
16.5%
Math Symbol 4
 
< 0.1%
Space Separator 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1501
19.4%
1 1331
17.2%
3 1125
14.5%
4 880
11.4%
8 646
8.3%
5 641
8.3%
7 600
 
7.7%
2 498
 
6.4%
9 288
 
3.7%
6 232
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1535
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1535
16.5%
0 1501
16.2%
1 1331
14.3%
3 1125
12.1%
4 880
9.5%
8 646
7.0%
5 641
6.9%
7 600
 
6.5%
2 498
 
5.4%
9 288
 
3.1%
Other values (5) 241
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1535
16.5%
0 1501
16.2%
1 1331
14.3%
3 1125
12.1%
4 880
9.5%
8 646
7.0%
5 641
6.9%
7 600
 
6.5%
2 498
 
5.4%
9 288
 
3.1%
Other values (5) 241
 
2.6%

주소
Text

Distinct765
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T11:12:58.124559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length58
Mean length37.22251
Min length24

Characters and Unicode

Total characters28773
Distinct characters270
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique757 ?
Unique (%)97.9%

Sample

1st row경기도 안산시 상록구 광덕1로 385, 엔타운 6~7층 (이동)
2nd row경기도 안산시 상록구 예술광장로 35, 에스엘타운 5층 (전체), 2층 202호~204호 (월피동)
3rd row경기도 안산시 상록구 본이로 44, 2~8층 (본오동)
4th row경기도 안산시 상록구 초당로 54, 1~4층 (사동)
5th row경기도 안산시 상록구 샘골로 78 (본오동)
ValueCountFrequency (%)
경기도 773
 
12.9%
안산시 773
 
12.9%
단원구 476
 
7.9%
상록구 297
 
4.9%
고잔동 237
 
3.9%
본오동 118
 
2.0%
2층 110
 
1.8%
선부동 89
 
1.5%
선부광장1로 62
 
1.0%
원곡동 57
 
0.9%
Other values (939) 3021
50.2%
2023-12-12T11:12:58.804607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5243
 
18.2%
, 1254
 
4.4%
1 980
 
3.4%
동 898
 
3.1%
산 846
 
2.9%
0 839
 
2.9%
안 819
 
2.8%
시 806
 
2.8%
2 794
 
2.8%
도 793
 
2.8%
Other values (260) 15501
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15541
54.0%
Space Separator 5243
 
18.2%
Decimal Number 4929
 
17.1%
Other Punctuation 1258
 
4.4%
Open Punctuation 784
 
2.7%
Close Punctuation 784
 
2.7%
Math Symbol 130
 
0.5%
Dash Punctuation 54
 
0.2%
Uppercase Letter 44
 
0.2%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 898
 
5.8%
산 846
 
5.4%
안 819
 
5.3%
시 806
 
5.2%
도 793
 
5.1%
경 782
 
5.0%
기 782
 
5.0%
구 775
 
5.0%
로 710
 
4.6%
원 631
 
4.1%
Other values (231) 7699
49.5%
Decimal Number
ValueCountFrequency (%)
1 980
19.9%
0 839
17.0%
2 794
16.1%
3 687
13.9%
4 450
9.1%
5 350
 
7.1%
6 266
 
5.4%
8 214
 
4.3%
7 207
 
4.2%
9 142
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 1254
99.7%
@ 1
 
0.1%
. 1
 
0.1%
* 1
 
0.1%
/ 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 18
40.9%
C 10
22.7%
A 10
22.7%
Y 5
 
11.4%
P 1
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 783
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 783
99.9%
] 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
83.3%
a 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5243
100.0%
Math Symbol
ValueCountFrequency (%)
~ 130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15541
54.0%
Common 13182
45.8%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 898
 
5.8%
산 846
 
5.4%
안 819
 
5.3%
시 806
 
5.2%
도 793
 
5.1%
경 782
 
5.0%
기 782
 
5.0%
구 775
 
5.0%
로 710
 
4.6%
원 631
 
4.1%
Other values (231) 7699
49.5%
Common
ValueCountFrequency (%)
5243
39.8%
, 1254
 
9.5%
1 980
 
7.4%
0 839
 
6.4%
2 794
 
6.0%
( 783
 
5.9%
) 783
 
5.9%
3 687
 
5.2%
4 450
 
3.4%
5 350
 
2.7%
Other values (12) 1019
 
7.7%
Latin
ValueCountFrequency (%)
B 18
36.0%
C 10
20.0%
A 10
20.0%
Y 5
 
10.0%
e 5
 
10.0%
P 1
 
2.0%
a 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15541
54.0%
ASCII 13232
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5243
39.6%
, 1254
 
9.5%
1 980
 
7.4%
0 839
 
6.3%
2 794
 
6.0%
( 783
 
5.9%
) 783
 
5.9%
3 687
 
5.2%
4 450
 
3.4%
5 350
 
2.6%
Other values (19) 1069
 
8.1%
Hangul
ValueCountFrequency (%)
동 898
 
5.8%
산 846
 
5.4%
안 819
 
5.3%
시 806
 
5.2%
도 793
 
5.1%
경 782
 
5.0%
기 782
 
5.0%
구 775
 
5.0%
로 710
 
4.6%
원 631
 
4.1%
Other values (231) 7699
49.5%

월요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct28
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
589 
09:00~19:00
 
39
09:00~18:00
 
24
09:30~18:30
 
23
09:30~19:00
 
16
Other values (23)
82 

Length

Max length11
Median length4
Mean length5.6662354
Min length4

Unique

Unique10 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row<NA>
3rd row09:30~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
<NA> 589
76.2%
09:00~19:00 39
 
5.0%
09:00~18:00 24
 
3.1%
09:30~18:30 23
 
3.0%
09:30~19:00 16
 
2.1%
09:00~18:30 13
 
1.7%
10:00~19:00 12
 
1.6%
09:30~18:00 10
 
1.3%
10:00~18:30 9
 
1.2%
10:00~18:00 8
 
1.0%
Other values (18) 30
 
3.9%

Length

2023-12-12T11:12:59.036938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 589
76.2%
09:00~19:00 39
 
5.0%
09:00~18:00 24
 
3.1%
09:30~18:30 23
 
3.0%
09:30~19:00 16
 
2.1%
09:00~18:30 13
 
1.7%
10:00~19:00 12
 
1.6%
09:30~18:00 10
 
1.3%
10:00~18:30 9
 
1.2%
10:00~18:00 8
 
1.0%
Other values (18) 30
 
3.9%

화요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct32
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
589 
09:00~19:00
 
38
09:00~18:00
 
24
09:30~18:30
 
18
09:30~19:00
 
15
Other values (27)
89 

Length

Max length11
Median length4
Mean length5.6662354
Min length4

Unique

Unique12 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row09:30~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
<NA> 589
76.2%
09:00~19:00 38
 
4.9%
09:00~18:00 24
 
3.1%
09:30~18:30 18
 
2.3%
09:30~19:00 15
 
1.9%
09:00~18:30 13
 
1.7%
09:30~18:00 10
 
1.3%
10:00~19:00 10
 
1.3%
10:00~18:30 7
 
0.9%
10:00~18:00 7
 
0.9%
Other values (22) 42
 
5.4%

Length

2023-12-12T11:12:59.236845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 589
76.2%
09:00~19:00 38
 
4.9%
09:00~18:00 24
 
3.1%
09:30~18:30 18
 
2.3%
09:30~19:00 15
 
1.9%
09:00~18:30 13
 
1.7%
09:30~18:00 10
 
1.3%
10:00~19:00 10
 
1.3%
10:00~18:00 7
 
0.9%
10:00~18:30 7
 
0.9%
Other values (22) 42
 
5.4%

수요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct34
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
593 
09:00~19:00
 
35
09:00~18:00
 
23
09:30~18:30
 
17
09:30~19:00
 
15
Other values (29)
90 

Length

Max length11
Median length4
Mean length5.6300129
Min length4

Unique

Unique16 ?
Unique (%)2.1%

Sample

1st row<NA>
2nd row<NA>
3rd row09:30~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
<NA> 593
76.7%
09:00~19:00 35
 
4.5%
09:00~18:00 23
 
3.0%
09:30~18:30 17
 
2.2%
09:30~19:00 15
 
1.9%
10:00~19:00 14
 
1.8%
09:00~18:30 13
 
1.7%
09:30~18:00 9
 
1.2%
10:00~18:00 8
 
1.0%
10:00~18:30 8
 
1.0%
Other values (24) 38
 
4.9%

Length

2023-12-12T11:12:59.399643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 593
76.7%
09:00~19:00 35
 
4.5%
09:00~18:00 23
 
3.0%
09:30~18:30 17
 
2.2%
09:30~19:00 15
 
1.9%
10:00~19:00 14
 
1.8%
09:00~18:30 13
 
1.7%
09:30~18:00 9
 
1.2%
10:00~18:00 8
 
1.0%
10:00~18:30 8
 
1.0%
Other values (24) 38
 
4.9%

목요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct41
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
591 
09:00~19:00
 
37
09:00~18:00
 
22
09:30~18:30
 
17
09:30~19:00
 
13
Other values (36)
93 

Length

Max length11
Median length4
Mean length5.6481242
Min length4

Unique

Unique18 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row<NA>
3rd row09:30~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
<NA> 591
76.5%
09:00~19:00 37
 
4.8%
09:00~18:00 22
 
2.8%
09:30~18:30 17
 
2.2%
09:30~19:00 13
 
1.7%
09:00~18:30 11
 
1.4%
10:00~19:00 10
 
1.3%
10:00~18:30 8
 
1.0%
09:30~18:00 7
 
0.9%
10:00~18:00 6
 
0.8%
Other values (31) 51
 
6.6%

Length

2023-12-12T11:12:59.531254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 591
76.5%
09:00~19:00 37
 
4.8%
09:00~18:00 22
 
2.8%
09:30~18:30 17
 
2.2%
09:30~19:00 13
 
1.7%
09:00~18:30 11
 
1.4%
10:00~19:00 10
 
1.3%
10:00~18:30 8
 
1.0%
09:30~18:00 7
 
0.9%
10:00~18:00 6
 
0.8%
Other values (31) 51
 
6.6%

금요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct29
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
589 
09:00~19:00
 
38
09:00~18:00
 
25
09:30~18:30
 
22
10:00~19:00
 
16
Other values (24)
83 

Length

Max length11
Median length4
Mean length5.6662354
Min length4

Unique

Unique12 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row09:30~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
<NA> 589
76.2%
09:00~19:00 38
 
4.9%
09:00~18:00 25
 
3.2%
09:30~18:30 22
 
2.8%
10:00~19:00 16
 
2.1%
09:30~19:00 15
 
1.9%
09:00~18:30 13
 
1.7%
10:00~18:30 9
 
1.2%
09:30~18:00 9
 
1.2%
10:00~18:00 8
 
1.0%
Other values (19) 29
 
3.8%

Length

2023-12-12T11:12:59.719964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 589
76.2%
09:00~19:00 38
 
4.9%
09:00~18:00 25
 
3.2%
09:30~18:30 22
 
2.8%
10:00~19:00 16
 
2.1%
09:30~19:00 15
 
1.9%
09:00~18:30 13
 
1.7%
10:00~18:30 9
 
1.2%
09:30~18:00 9
 
1.2%
10:00~18:00 8
 
1.0%
Other values (19) 29
 
3.8%

토요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct32
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
602 
09:00~13:00
 
32
09:00~14:00
 
21
09:30~14:00
 
17
09:00~15:00
 
16
Other values (27)
85 

Length

Max length11
Median length4
Mean length5.5485123
Min length4

Unique

Unique12 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row09:30~18:00
4th row09:00~13:00
5th row09:00~14:00

Common Values

ValueCountFrequency (%)
<NA> 602
77.9%
09:00~13:00 32
 
4.1%
09:00~14:00 21
 
2.7%
09:30~14:00 17
 
2.2%
09:00~15:00 16
 
2.1%
10:00~14:00 12
 
1.6%
10:00~13:00 11
 
1.4%
09:30~13:00 7
 
0.9%
09:00~16:00 7
 
0.9%
09:30~13:30 5
 
0.6%
Other values (22) 43
 
5.6%

Length

2023-12-12T11:12:59.865965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 602
77.9%
09:00~13:00 32
 
4.1%
09:00~14:00 21
 
2.7%
09:30~14:00 17
 
2.2%
09:00~15:00 16
 
2.1%
10:00~14:00 12
 
1.6%
10:00~13:00 11
 
1.4%
09:30~13:00 7
 
0.9%
09:00~16:00 7
 
0.9%
09:00~17:00 5
 
0.6%
Other values (22) 43
 
5.6%

일요일 진료
Text

MISSING 

Distinct8
Distinct (%)66.7%
Missing761
Missing (%)98.4%
Memory size6.2 KiB
2023-12-12T11:13:00.015450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters132
Distinct characters11
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

Unique7 ?
Unique (%)58.3%

Sample

1st row09:00~13:00
2nd row09:00~14:30
3rd row09:00~13:00
4th row09:00~13:00
5th row10:00~18:00
ValueCountFrequency (%)
09:00~13:00 5
41.7%
09:00~14:30 1
 
8.3%
10:00~18:00 1
 
8.3%
09:00~15:00 1
 
8.3%
09:00~16:00 1
 
8.3%
09:30~13:00 1
 
8.3%
09:30~17:00 1
 
8.3%
13:00~18:00 1
 
8.3%
2023-12-12T11:13:00.321989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56
42.4%
: 24
18.2%
1 14
 
10.6%
~ 12
 
9.1%
9 10
 
7.6%
3 10
 
7.6%
8 2
 
1.5%
4 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
72.7%
Other Punctuation 24
 
18.2%
Math Symbol 12
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
58.3%
1 14
 
14.6%
9 10
 
10.4%
3 10
 
10.4%
8 2
 
2.1%
4 1
 
1.0%
5 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56
42.4%
: 24
18.2%
1 14
 
10.6%
~ 12
 
9.1%
9 10
 
7.6%
3 10
 
7.6%
8 2
 
1.5%
4 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56
42.4%
: 24
18.2%
1 14
 
10.6%
~ 12
 
9.1%
9 10
 
7.6%
3 10
 
7.6%
8 2
 
1.5%
4 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%

공휴일 진료
Text

MISSING 

Distinct14
Distinct (%)73.7%
Missing754
Missing (%)97.5%
Memory size6.2 KiB
2023-12-12T11:13:00.512240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters209
Distinct characters11
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

Unique12 ?
Unique (%)63.2%

Sample

1st row09:00~17:00
2nd row10:00~13:00
3rd row09:00~13:00
4th row09:00~13:00
5th row10:00~15:00
ValueCountFrequency (%)
09:00~13:00 5
26.3%
09:00~17:00 2
 
10.5%
10:00~13:00 1
 
5.3%
10:00~15:00 1
 
5.3%
10:00~18:00 1
 
5.3%
09:00~13:30 1
 
5.3%
09:00~15:00 1
 
5.3%
09:00~16:00 1
 
5.3%
09:30~16:00 1
 
5.3%
09:30~14:00 1
 
5.3%
Other values (4) 4
21.1%
2023-12-12T11:13:00.879216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
43.5%
: 38
18.2%
1 23
 
11.0%
~ 19
 
9.1%
9 15
 
7.2%
3 12
 
5.7%
7 3
 
1.4%
5 2
 
1.0%
8 2
 
1.0%
6 2
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
72.7%
Other Punctuation 38
 
18.2%
Math Symbol 19
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
59.9%
1 23
 
15.1%
9 15
 
9.9%
3 12
 
7.9%
7 3
 
2.0%
5 2
 
1.3%
8 2
 
1.3%
6 2
 
1.3%
4 2
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
43.5%
: 38
18.2%
1 23
 
11.0%
~ 19
 
9.1%
9 15
 
7.2%
3 12
 
5.7%
7 3
 
1.4%
5 2
 
1.0%
8 2
 
1.0%
6 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
43.5%
: 38
18.2%
1 23
 
11.0%
~ 19
 
9.1%
9 15
 
7.2%
3 12
 
5.7%
7 3
 
1.4%
5 2
 
1.0%
8 2
 
1.0%
6 2
 
1.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2023-06-12 00:00:00
Maximum2023-06-12 00:00:00
2023-12-12T11:13:01.004014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:13:01.116173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T11:13:01.204044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료
업무구분1.0000.7870.7830.7790.7820.7990.7001.0000.859
월요일 진료0.7871.0000.9930.9970.9970.9950.9380.6770.922
화요일 진료0.7830.9931.0000.9880.9960.9940.9430.3570.879
수요일 진료0.7790.9970.9881.0000.9880.9950.9250.9170.921
목요일 진료0.7820.9970.9960.9881.0000.9950.9370.6770.922
금요일 진료0.7990.9950.9940.9950.9951.0000.9470.8320.879
토요일 진료0.7000.9380.9430.9250.9370.9471.0000.7850.850
일요일 진료1.0000.6770.3570.9170.6770.8320.7851.0001.000
공휴일 진료0.8590.9220.8790.9210.9220.8790.8501.0001.000
2023-12-12T11:13:01.329718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
목요일 진료토요일 진료월요일 진료수요일 진료화요일 진료금요일 진료업무구분
목요일 진료1.0000.4810.8920.7350.8670.8510.366
토요일 진료0.4811.0000.5350.4760.5370.5650.350
월요일 진료0.8920.5351.0000.9160.8670.8960.435
수요일 진료0.7350.4760.9161.0000.7820.8800.404
화요일 진료0.8670.5370.8670.7821.0000.8820.414
금요일 진료0.8510.5650.8960.8800.8821.0000.434
업무구분0.3660.3500.4350.4040.4140.4341.000
2023-12-12T11:13:01.464724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료
업무구분1.0000.4350.4140.4040.3660.4340.350
월요일 진료0.4351.0000.8670.9160.8920.8960.535
화요일 진료0.4140.8671.0000.7820.8670.8820.537
수요일 진료0.4040.9160.7821.0000.7350.8800.476
목요일 진료0.3660.8920.8670.7351.0000.8510.481
금요일 진료0.4340.8960.8820.8800.8511.0000.565
토요일 진료0.3500.5350.5370.4760.4810.5651.000

Missing values

2023-12-12T11:12:55.424843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:12:55.669796image/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.
2023-12-12T11:12:55.835421image/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

병원명업무구분대표전화주소월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료데이터기준일자
0안산 마루병원병원031-409-4100경기도 안산시 상록구 광덕1로 385, 엔타운 6~7층 (이동)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
1성포마루한방병원한방병원031-410-4119경기도 안산시 상록구 예술광장로 35, 에스엘타운 5층 (전체), 2층 202호~204호 (월피동)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
2약산애한방병원한방병원031-365-5875경기도 안산시 상록구 본이로 44, 2~8층 (본오동)09:30~18:0009:30~18:0009:30~18:0009:30~18:0009:30~18:0009:30~18:00<NA><NA>2023-06-12
3바른한방병원한방병원031-437-6700경기도 안산시 상록구 초당로 54, 1~4층 (사동)09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA>2023-06-12
4서연의료소비자생활협동조합본원한방병원한방병원031-501-1199경기도 안산시 상록구 샘골로 78 (본오동)09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~14:00<NA><NA>2023-06-12
5백의한방병원한방병원031-893-4999경기도 안산시 상록구 석호로 196, 109호, 111호, 112호, 113호, 201-1호, 4층 전체호 (사동)09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA>2023-06-12
6연세서울병원정신병원031-415-1010경기도 안산시 상록구 선암로 40 (본오동, 드들요양병원)09:30~19:0009:30~19:0009:30~19:0009:30~19:0009:30~19:0009:00~14:00<NA><NA>2023-06-12
7안성훈한방병원한방병원031-365-3625경기도 안산시 상록구 광덕산2로 28 (월피동, 2층일부,3층)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
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764우리가족한의원한의원031-487-8275경기도 안산시 단원구 선부로 187, 3층 (선부동, 유송빌딩)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
765의료법인세창의료재단우성한의원한의원031-412-3016경기도 안산시 단원구 고잔로 58-10 (고잔동)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
766광제당한의원한의원031-411-4464경기도 안산시 단원구 선부광장1로 56, 214호,216호,217호 (선부동, 일성빌딩)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
767명성한의원한의원031-483-7667경기도 안산시 단원구 당곡2로 23, 204호 (고잔동)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
768감초당한의원한의원031-414-5910경기도 안산시 단원구 선부광장1로 62, 301호 (선부동, 동원프라자)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
769선부경희한의원한의원031-411-1808경기도 안산시 단원구 선부광장1로 10, 동양빌딩 124호 (선부동)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
770혜민한의원한의원031-405-1684경기도 안산시 단원구 선부광장1로 69, 213호 (선부동, 산호한양아파트상가)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
771서민한의원한의원031-494-5520경기도 안산시 단원구 라성로 15, 안산푸르지오브리파크상가 201~204호 (원곡동)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12
772경희한의원한의원031-480-7151경기도 안산시 단원구 화랑로 358, 313호 (고잔동)<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-12