Overview

Dataset statistics

Number of variables13
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory107.3 B

Variable types

Numeric1
Text3
Categorical9

Dataset

Description대구광역시 달성군_한의원현황_20180430
Author대구광역시 달성군
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3068205&dataSetDetailId=30682051df13e5dfffcd_201805171023&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
일요일 진료 is highly overall correlated with 월요일 진료 and 6 other fieldsHigh correlation
토요일 진료 is highly overall correlated with 월요일 진료 and 6 other fieldsHigh correlation
수요일 진료 is highly overall correlated with 월요일 진료 and 6 other fieldsHigh correlation
월요일 진료 is highly overall correlated with 화요일 진료 and 6 other fieldsHigh correlation
금요일 진료 is highly overall correlated with 월요일 진료 and 6 other fieldsHigh correlation
공휴일 진료 is highly overall correlated with 월요일 진료 and 6 other fieldsHigh correlation
목요일 진료 is highly overall correlated with 월요일 진료 and 6 other fieldsHigh correlation
화요일 진료 is highly overall correlated with 월요일 진료 and 6 other fieldsHigh correlation
토요일 진료 is highly imbalanced (65.5%)Imbalance
일요일 진료 is highly imbalanced (87.3%)Imbalance
공휴일 진료 is highly imbalanced (84.0%)Imbalance
NO has unique valuesUnique
병원명 has unique valuesUnique
대표전화 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:41:37.240097
Analysis finished2023-12-10 19:41:38.649964
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

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
2023-12-11T04:41:38.735228image/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
2023-12-11T04:41:38.916318image/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%

병원명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T04:41:39.224402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length5.9649123
Min length4

Characters and Unicode

Total characters340
Distinct characters113
Distinct categories4 ?
Distinct scripts2 ?
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 row황수진한의원
2nd row구지감초한의원
3rd row밝은빛한의원 2018-03-09
4th row대실한의원
5th row정암한의원
ValueCountFrequency (%)
황수진한의원 1
 
1.7%
영광한의원 1
 
1.7%
열린한의원 1
 
1.7%
옥포한의원 1
 
1.7%
우석한의원 1
 
1.7%
윤석찬한의원 1
 
1.7%
정덕한의원 1
 
1.7%
최광균한의원 1
 
1.7%
국민한의원 1
 
1.7%
그린한의원 1
 
1.7%
Other values (48) 48
82.8%
2023-12-11T04:41:39.671418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
17.1%
58
17.1%
57
16.8%
6
 
1.8%
4
 
1.2%
4
 
1.2%
0 3
 
0.9%
3
 
0.9%
3
 
0.9%
3
 
0.9%
Other values (103) 141
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
96.8%
Decimal Number 8
 
2.4%
Dash Punctuation 2
 
0.6%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
17.6%
58
17.6%
57
17.3%
6
 
1.8%
4
 
1.2%
4
 
1.2%
3
 
0.9%
3
 
0.9%
3
 
0.9%
3
 
0.9%
Other values (95) 130
39.5%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
2 1
 
12.5%
9 1
 
12.5%
3 1
 
12.5%
8 1
 
12.5%
1 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
96.8%
Common 11
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
17.6%
58
17.6%
57
17.3%
6
 
1.8%
4
 
1.2%
4
 
1.2%
3
 
0.9%
3
 
0.9%
3
 
0.9%
3
 
0.9%
Other values (95) 130
39.5%
Common
ValueCountFrequency (%)
0 3
27.3%
- 2
18.2%
2 1
 
9.1%
9 1
 
9.1%
3 1
 
9.1%
8 1
 
9.1%
1 1
 
9.1%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
96.8%
ASCII 11
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
58
17.6%
58
17.6%
57
17.3%
6
 
1.8%
4
 
1.2%
4
 
1.2%
3
 
0.9%
3
 
0.9%
3
 
0.9%
3
 
0.9%
Other values (95) 130
39.5%
ASCII
ValueCountFrequency (%)
0 3
27.3%
- 2
18.2%
2 1
 
9.1%
9 1
 
9.1%
3 1
 
9.1%
8 1
 
9.1%
1 1
 
9.1%
1
 
9.1%

대표전화
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T04:41:39.958420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique57 ?
Unique (%)100.0%

Sample

1st row053-587-1075
2nd row053-614-9960
3rd row053-623-8275
4th row053-586-8310
5th row053-582-5565
ValueCountFrequency (%)
053-587-1075 1
 
1.8%
053-611-5556 1
 
1.8%
053-614-3664 1
 
1.8%
053-585-5121 1
 
1.8%
053-632-1075 1
 
1.8%
053-617-1075 1
 
1.8%
053-635-7975 1
 
1.8%
053-427-5975 1
 
1.8%
053-635-8275 1
 
1.8%
053-644-7582 1
 
1.8%
Other values (47) 47
82.5%
2023-12-11T04:41:40.384441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 129
18.9%
- 114
16.7%
0 86
12.6%
3 83
12.1%
6 60
8.8%
7 50
 
7.3%
1 48
 
7.0%
8 34
 
5.0%
2 30
 
4.4%
4 26
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 129
22.6%
0 86
15.1%
3 83
14.6%
6 60
10.5%
7 50
 
8.8%
1 48
 
8.4%
8 34
 
6.0%
2 30
 
5.3%
4 26
 
4.6%
9 24
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 129
18.9%
- 114
16.7%
0 86
12.6%
3 83
12.1%
6 60
8.8%
7 50
 
7.3%
1 48
 
7.0%
8 34
 
5.0%
2 30
 
4.4%
4 26
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 129
18.9%
- 114
16.7%
0 86
12.6%
3 83
12.1%
6 60
8.8%
7 50
 
7.3%
1 48
 
7.0%
8 34
 
5.0%
2 30
 
4.4%
4 26
 
3.8%

주소
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T04:41:40.741556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length24.964912
Min length19

Characters and Unicode

Total characters1423
Distinct characters90
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

Unique57 ?
Unique (%)100.0%

Sample

1st row대구광역시 달성군 다사읍 달구벌대로 863, 401호
2nd row대구광역시 달성군 구지면 창리로11길 58-6
3rd row대구광역시 달성군 유가읍 테크노상업로 96, 4층 401호
4th row대구광역시 달성군 다사읍 달구벌대로 880
5th row대구광역시 달성군 하빈면 육신사길 51-13
ValueCountFrequency (%)
대구광역시 57
18.3%
달성군 57
18.3%
다사읍 18
 
5.8%
화원읍 15
 
4.8%
달구벌대로 11
 
3.5%
비슬로 10
 
3.2%
테크노상업로 6
 
1.9%
현풍면 6
 
1.9%
옥포면 5
 
1.6%
2층 5
 
1.6%
Other values (101) 121
38.9%
2023-12-11T04:41:41.297350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
17.8%
70
 
4.9%
69
 
4.8%
68
 
4.8%
59
 
4.1%
58
 
4.1%
57
 
4.0%
57
 
4.0%
57
 
4.0%
55
 
3.9%
Other values (80) 619
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 913
64.2%
Space Separator 254
 
17.8%
Decimal Number 222
 
15.6%
Other Punctuation 17
 
1.2%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Dash Punctuation 5
 
0.4%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70
 
7.7%
69
 
7.6%
68
 
7.4%
59
 
6.5%
58
 
6.4%
57
 
6.2%
57
 
6.2%
57
 
6.2%
55
 
6.0%
40
 
4.4%
Other values (63) 323
35.4%
Decimal Number
ValueCountFrequency (%)
1 39
17.6%
2 36
16.2%
0 27
12.2%
8 23
10.4%
3 22
9.9%
6 19
8.6%
7 15
 
6.8%
4 14
 
6.3%
9 14
 
6.3%
5 13
 
5.9%
Space Separator
ValueCountFrequency (%)
254
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 913
64.2%
Common 509
35.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70
 
7.7%
69
 
7.6%
68
 
7.4%
59
 
6.5%
58
 
6.4%
57
 
6.2%
57
 
6.2%
57
 
6.2%
55
 
6.0%
40
 
4.4%
Other values (63) 323
35.4%
Common
ValueCountFrequency (%)
254
49.9%
1 39
 
7.7%
2 36
 
7.1%
0 27
 
5.3%
8 23
 
4.5%
3 22
 
4.3%
6 19
 
3.7%
, 17
 
3.3%
7 15
 
2.9%
4 14
 
2.8%
Other values (6) 43
 
8.4%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 913
64.2%
ASCII 510
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
49.8%
1 39
 
7.6%
2 36
 
7.1%
0 27
 
5.3%
8 23
 
4.5%
3 22
 
4.3%
6 19
 
3.7%
, 17
 
3.3%
7 15
 
2.9%
4 14
 
2.7%
Other values (7) 44
 
8.6%
Hangul
ValueCountFrequency (%)
70
 
7.7%
69
 
7.6%
68
 
7.4%
59
 
6.5%
58
 
6.4%
57
 
6.2%
57
 
6.2%
57
 
6.2%
55
 
6.0%
40
 
4.4%
Other values (63) 323
35.4%

월요일 진료
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size588.0 B
10:00~17:00
36 
10:00~16:00
10:00~17:01
09:00~19:00
 
2
09:00~18:00
 
2
Other values (7)

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique7 ?
Unique (%)12.3%

Sample

1st row10:00~17:00
2nd row08:30~20:00
3rd row09:00~17:00
4th row09:00~21:00
5th row10:00~17:00

Common Values

ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 2
 
3.5%
09:00~18:00 2
 
3.5%
08:30~20:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:00~21:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
Other values (2) 2
 
3.5%

Length

2023-12-11T04:41:41.472247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 2
 
3.5%
09:00~18:00 2
 
3.5%
08:30~20:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:00~21:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
Other values (2) 2
 
3.5%

화요일 진료
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
10:00~17:00
36 
10:00~16:00
10:00~17:01
09:00~19:00
 
3
09:00~18:00
 
2
Other values (6)

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique6 ?
Unique (%)10.5%

Sample

1st row10:00~17:00
2nd row08:30~18:00
3rd row09:00~17:00
4th row09:00~19:00
5th row10:00~17:00

Common Values

ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 3
 
5.3%
09:00~18:00 2
 
3.5%
08:30~18:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
09:30~21:00 1
 
1.8%

Length

2023-12-11T04:41:41.615093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 3
 
5.3%
09:00~18:00 2
 
3.5%
08:30~18:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
09:30~21:00 1
 
1.8%

수요일 진료
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
10:00~17:00
36 
10:00~16:00
10:00~17:01
09:00~19:00
 
3
09:00~18:00
 
2
Other values (6)

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique6 ?
Unique (%)10.5%

Sample

1st row10:00~17:00
2nd row08:30~20:00
3rd row09:00~17:00
4th row09:00~19:00
5th row10:00~17:00

Common Values

ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 3
 
5.3%
09:00~18:00 2
 
3.5%
08:30~20:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
09:30~19:00 1
 
1.8%

Length

2023-12-11T04:41:41.756155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 3
 
5.3%
09:00~18:00 2
 
3.5%
08:30~20:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
09:30~19:00 1
 
1.8%

목요일 진료
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size588.0 B
10:00~17:00
36 
10:00~16:00
10:00~17:01
09:00~19:00
 
2
09:00~18:00
 
2
Other values (7)

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique7 ?
Unique (%)12.3%

Sample

1st row10:00~17:00
2nd row08:30~16:00
3rd row09:00~17:00
4th row09:00~21:00
5th row10:00~17:00

Common Values

ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 2
 
3.5%
09:00~18:00 2
 
3.5%
08:30~16:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:00~21:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
Other values (2) 2
 
3.5%

Length

2023-12-11T04:41:41.910846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 2
 
3.5%
09:00~18:00 2
 
3.5%
08:30~16:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:00~21:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
Other values (2) 2
 
3.5%

금요일 진료
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
10:00~17:00
36 
10:00~16:00
10:00~17:01
09:00~19:00
 
3
09:00~18:00
 
2
Other values (6)

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique6 ?
Unique (%)10.5%

Sample

1st row10:00~17:00
2nd row08:30~20:00
3rd row09:00~17:00
4th row09:00~19:00
5th row10:00~17:00

Common Values

ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 3
 
5.3%
09:00~18:00 2
 
3.5%
08:30~20:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
09:30~19:00 1
 
1.8%

Length

2023-12-11T04:41:42.046131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~17:00 36
63.2%
10:00~16:00 6
 
10.5%
10:00~17:01 4
 
7.0%
09:00~19:00 3
 
5.3%
09:00~18:00 2
 
3.5%
08:30~20:00 1
 
1.8%
09:00~17:00 1
 
1.8%
09:30~18:30 1
 
1.8%
09:00~20:00 1
 
1.8%
09:30~19:00 1
 
1.8%

토요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
-
48 
09:00~16:00
 
2
08:30~16:00
 
1
09:00~15:00
 
1
09:30~13:00
 
1
Other values (4)
 
4

Length

Max length11
Median length1
Mean length2.5789474
Min length1

Unique

Unique7 ?
Unique (%)12.3%

Sample

1st row-
2nd row08:30~16:00
3rd row-
4th row09:00~15:00
5th row-

Common Values

ValueCountFrequency (%)
- 48
84.2%
09:00~16:00 2
 
3.5%
08:30~16:00 1
 
1.8%
09:00~15:00 1
 
1.8%
09:30~13:00 1
 
1.8%
09:00~13:00 1
 
1.8%
09:30~16:00 1
 
1.8%
10:00~15:00 1
 
1.8%
08:00~14:00 1
 
1.8%

Length

2023-12-11T04:41:42.181189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:42.334948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48
84.2%
09:00~16:00 2
 
3.5%
08:30~16:00 1
 
1.8%
09:00~15:00 1
 
1.8%
09:30~13:00 1
 
1.8%
09:00~13:00 1
 
1.8%
09:30~16:00 1
 
1.8%
10:00~15:00 1
 
1.8%
08:00~14:00 1
 
1.8%

일요일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
-
56 
09:30~16:00
 
1

Length

Max length11
Median length1
Mean length1.1754386
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 56
98.2%
09:30~16:00 1
 
1.8%

Length

2023-12-11T04:41:42.502414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:42.615890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
56
98.2%
09:30~16:00 1
 
1.8%

공휴일 진료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
-
55 
09:00~13:00
 
1
09:30~16:00
 
1

Length

Max length11
Median length1
Mean length1.3508772
Min length1

Unique

Unique2 ?
Unique (%)3.5%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 55
96.5%
09:00~13:00 1
 
1.8%
09:30~16:00 1
 
1.8%

Length

2023-12-11T04:41:42.765108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:42.898618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
55
96.5%
09:00~13:00 1
 
1.8%
09:30~16:00 1
 
1.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
2018-04-30
57 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-04-30
2nd row2018-04-30
3rd row2018-04-30
4th row2018-04-30
5th row2018-04-30

Common Values

ValueCountFrequency (%)
2018-04-30 57
100.0%

Length

2023-12-11T04:41:43.029032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:43.151327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-04-30 57
100.0%

Interactions

2023-12-11T04:41:38.137225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:41:43.231633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO병원명대표전화주소월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료
NO1.0001.0001.0001.0000.4530.4390.4390.4530.4390.0000.0000.186
병원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표전화1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
월요일 진료0.4531.0001.0001.0001.0001.0001.0001.0001.0000.9731.0000.979
화요일 진료0.4391.0001.0001.0001.0001.0001.0001.0001.0000.9321.0000.896
수요일 진료0.4391.0001.0001.0001.0001.0001.0001.0001.0000.9321.0000.896
목요일 진료0.4531.0001.0001.0001.0001.0001.0001.0001.0000.9731.0000.979
금요일 진료0.4391.0001.0001.0001.0001.0001.0001.0001.0000.9321.0000.896
토요일 진료0.0001.0001.0001.0000.9730.9320.9320.9730.9321.0001.0001.000
일요일 진료0.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공휴일 진료0.1861.0001.0001.0000.9790.8960.8960.9790.8961.0001.0001.000
2023-12-11T04:41:43.400194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일요일 진료토요일 진료수요일 진료월요일 진료금요일 진료공휴일 진료목요일 진료화요일 진료
일요일 진료1.0000.9340.9150.9050.9150.9910.9050.915
토요일 진료0.9341.0000.7700.8480.7700.9430.8480.770
수요일 진료0.9150.7701.0000.9891.0000.7670.9891.000
월요일 진료0.9050.8480.9891.0000.9890.7551.0000.989
금요일 진료0.9150.7701.0000.9891.0000.7670.9891.000
공휴일 진료0.9910.9430.7670.7550.7671.0000.7550.767
목요일 진료0.9050.8480.9891.0000.9890.7551.0000.989
화요일 진료0.9150.7701.0000.9891.0000.7670.9891.000
2023-12-11T04:41:43.576562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료
NO1.0000.2000.1960.1960.2000.1960.0000.0000.090
월요일 진료0.2001.0000.9890.9891.0000.9890.8480.9050.755
화요일 진료0.1960.9891.0001.0000.9891.0000.7700.9150.767
수요일 진료0.1960.9891.0001.0000.9891.0000.7700.9150.767
목요일 진료0.2001.0000.9890.9891.0000.9890.8480.9050.755
금요일 진료0.1960.9891.0001.0000.9891.0000.7700.9150.767
토요일 진료0.0000.8480.7700.7700.8480.7701.0000.9340.943
일요일 진료0.0000.9050.9150.9150.9050.9150.9341.0000.991
공휴일 진료0.0900.7550.7670.7670.7550.7670.9430.9911.000

Missing values

2023-12-11T04:41:38.311963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:41:38.564338image/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

NO병원명대표전화주소월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료데이터기준일자
01황수진한의원053-587-1075대구광역시 달성군 다사읍 달구벌대로 863, 401호10:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:00---2018-04-30
12구지감초한의원053-614-9960대구광역시 달성군 구지면 창리로11길 58-608:30~20:0008:30~18:0008:30~20:0008:30~16:0008:30~20:0008:30~16:00--2018-04-30
23밝은빛한의원 2018-03-09053-623-8275대구광역시 달성군 유가읍 테크노상업로 96, 4층 401호09:00~17:0009:00~17:0009:00~17:0009:00~17:0009:00~17:00---2018-04-30
34대실한의원053-586-8310대구광역시 달성군 다사읍 달구벌대로 88009:00~21:0009:00~19:0009:00~19:0009:00~21:0009:00~19:0009:00~15:00--2018-04-30
45정암한의원053-582-5565대구광역시 달성군 하빈면 육신사길 51-1310:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:00---2018-04-30
56부부아이맘한의원053-617-8275대구광역시 달성군 논공읍 논공로9길 5410:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:00---2018-04-30
67이웃집한의원053-615-8300대구광역시 달성군 유가읍 테크노상업로 120 (테크노폴리스M스퀘어+)10:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:00---2018-04-30
78논공누가한의원053-615-3550대구광역시 달성군 논공읍 논공로9길 8510:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:00---2018-04-30
89성서중앙성신한의원053-585-7560대구광역시 달성군 논공읍 논공로7길 3910:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:00---2018-04-30
910윤성한의원053-585-9798대구광역시 달성군 다사읍 달구벌대로 881, 204호09:30~18:3009:30~18:3009:30~18:3009:30~18:3009:30~18:3009:30~13:00--2018-04-30
NO병원명대표전화주소월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료데이터기준일자
4748로뎀한의원053-631-7363대구광역시 달성군 다사읍 왕선로1길 9-610:00~17:0110:00~17:0110:00~17:0110:00~17:0110:00~17:01---2018-04-30
4849맥한의원053-614-9777대구광역시 달성군 유가면 테크노상업로 100, 3층 (303호)10:00~17:0110:00~17:0110:00~17:0110:00~17:0110:00~17:01---2018-04-30
4950명곡한의원053-644-0010대구광역시 달성군 화원읍 명곡로 14, 203호 (명곡골든프라자)10:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:00---2018-04-30
5051비슬한의원053-267-6600대구광역시 달성군 유가면 테크노상업로 98, 2층 203호 (비슬타워)09:30~19:0009:30~21:0009:30~19:0009:30~21:0009:30~19:0009:30~16:0009:30~16:0009:30~16:002018-04-30
5152소담한의원053-611-3837대구광역시 달성군 옥포면 비슬로 228010:00~16:0010:00~16:0010:00~16:0010:00~16:0010:00~16:00---2018-04-30
5253아이맘편작한의원053-587-2800대구광역시 달성군 다사읍 달구벌대로 889, 301호10:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~17:0010:00~15:00--2018-04-30
5354옥포마디한의원053-616-7975대구광역시 달성군 옥포면 돌미로2길 410:00~17:0110:00~17:0110:00~17:0110:00~17:0110:00~17:01---2018-04-30
5455유원희한의원053-765-1238대구광역시 달성군 다사읍 대실역북로 12, 2층 201호10:00~16:0010:00~16:0010:00~16:0010:00~16:0010:00~16:00---2018-04-30
5556현풍경희한의원053-631-5001대구광역시 달성군 현풍면 현풍중앙로21길 33-1410:00~17:0110:00~17:0110:00~17:0110:00~17:0110:00~17:01---2018-04-30
5657서재강수한의원053-582-7533대구광역시 달성군 다사읍 서재로 8908:00~18:0008:00~18:0008:00~18:0014:00~20:0008:00~18:0008:00~14:00--2018-04-30