Overview

Dataset statistics

Number of variables9
Number of observations124
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory77.0 B

Variable types

Numeric4
Text3
Categorical2

Dataset

Description영천시에 있는 의료기관(의원, 병원, 한의원) 현황에 대한 대이터로 의료기관의 위치, 연락처, 진료시간 등을 알려 드립니다.
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15004647/fileData.do

Alerts

위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
운영시간 is highly imbalanced (86.9%)Imbalance
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
병상수 has 108 (87.1%) zerosZeros

Reproduction

Analysis started2024-03-14 15:38:53.658324
Analysis finished2024-03-14 15:38:58.905146
Duration5.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.5
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-15T00:38:59.119183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.15
Q131.75
median62.5
Q393.25
95-th percentile117.85
Maximum124
Range123
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation35.939764
Coefficient of variation (CV)0.57503623
Kurtosis-1.2
Mean62.5
Median Absolute Deviation (MAD)31
Skewness0
Sum7750
Variance1291.6667
MonotonicityStrictly increasing
2024-03-15T00:38:59.574085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
80 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%

의료기관명
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T00:39:01.419907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.6129032
Min length4

Characters and Unicode

Total characters944
Distinct characters184
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)100.0%

Sample

1st row영남대학교의과대학부속 영천병원
2nd row의료법인동승의료재단 동승병원
3rd row의료법인고담의료재단 마야병원
4th row의료법인무일의료재단 참좋은요양병원
5th row의료법인송학의료재단 효사랑요양병원
ValueCountFrequency (%)
치과의원 3
 
2.2%
영남대학교의과대학부속 1
 
0.7%
강치과의원 1
 
0.7%
동승병원 1
 
0.7%
신녕치과의원 1
 
0.7%
윤치과의원 1
 
0.7%
동산치과의원 1
 
0.7%
중앙치과의원 1
 
0.7%
박문석치과의원 1
 
0.7%
서울치과의원 1
 
0.7%
Other values (127) 127
91.4%
2024-03-15T00:39:03.980301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 133
 
14.1%
원 124
 
13.1%
과 68
 
7.2%
한 40
 
4.2%
영 23
 
2.4%
치 23
 
2.4%
천 18
 
1.9%
15
 
1.6%
정 14
 
1.5%
인 12
 
1.3%
Other values (174) 474
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 923
97.8%
Space Separator 15
 
1.6%
Decimal Number 3
 
0.3%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 133
 
14.4%
원 124
 
13.4%
과 68
 
7.4%
한 40
 
4.3%
영 23
 
2.5%
치 23
 
2.5%
천 18
 
2.0%
정 14
 
1.5%
인 12
 
1.3%
합 12
 
1.3%
Other values (168) 456
49.4%
Uppercase Letter
ValueCountFrequency (%)
Y 1
33.3%
C 1
33.3%
D 1
33.3%
Decimal Number
ValueCountFrequency (%)
8 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 923
97.8%
Common 18
 
1.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 133
 
14.4%
원 124
 
13.4%
과 68
 
7.4%
한 40
 
4.3%
영 23
 
2.5%
치 23
 
2.5%
천 18
 
2.0%
정 14
 
1.5%
인 12
 
1.3%
합 12
 
1.3%
Other values (168) 456
49.4%
Common
ValueCountFrequency (%)
15
83.3%
8 2
 
11.1%
3 1
 
5.6%
Latin
ValueCountFrequency (%)
Y 1
33.3%
C 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 923
97.8%
ASCII 21
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 133
 
14.4%
원 124
 
13.4%
과 68
 
7.4%
한 40
 
4.3%
영 23
 
2.5%
치 23
 
2.5%
천 18
 
2.0%
정 14
 
1.5%
인 12
 
1.3%
합 12
 
1.3%
Other values (168) 456
49.4%
ASCII
ValueCountFrequency (%)
15
71.4%
8 2
 
9.5%
Y 1
 
4.8%
C 1
 
4.8%
D 1
 
4.8%
3 1
 
4.8%

소재지
Text

Distinct114
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T00:39:05.393907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length22.58871
Min length17

Characters and Unicode

Total characters2801
Distinct characters98
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)86.3%

Sample

1st row경상북도 영천시 오수1길 10(오수동)
2nd row경상북도 영천시 동강포길 87(도남동)
3rd row경상북도 영천시 북안면 내서로 55-25
4th row경상북도 영천시 망정1길 32(망정동)
5th row경상북도 영천시 금호읍 금호로 484
ValueCountFrequency (%)
영천시 124
18.9%
경상북도 123
18.8%
완산동 54
 
8.2%
시장로 28
 
4.3%
완산로 28
 
4.3%
금노동 18
 
2.7%
2층 13
 
2.0%
호국로 13
 
2.0%
야사동 13
 
2.0%
강변로 12
 
1.8%
Other values (133) 229
35.0%
2024-03-15T00:39:07.151453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
532
19.0%
시 155
 
5.5%
천 128
 
4.6%
경 125
 
4.5%
북 125
 
4.5%
도 125
 
4.5%
영 125
 
4.5%
상 124
 
4.4%
동 111
 
4.0%
로 106
 
3.8%
Other values (88) 1145
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1693
60.4%
Space Separator 532
 
19.0%
Decimal Number 341
 
12.2%
Open Punctuation 105
 
3.7%
Close Punctuation 105
 
3.7%
Dash Punctuation 23
 
0.8%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 155
 
9.2%
천 128
 
7.6%
경 125
 
7.4%
북 125
 
7.4%
도 125
 
7.4%
영 125
 
7.4%
상 124
 
7.3%
동 111
 
6.6%
로 106
 
6.3%
완 87
 
5.1%
Other values (73) 482
28.5%
Decimal Number
ValueCountFrequency (%)
5 64
18.8%
1 49
14.4%
2 44
12.9%
4 39
11.4%
3 34
10.0%
7 28
8.2%
9 27
7.9%
8 23
 
6.7%
6 22
 
6.5%
0 11
 
3.2%
Space Separator
ValueCountFrequency (%)
532
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1693
60.4%
Common 1108
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 155
 
9.2%
천 128
 
7.6%
경 125
 
7.4%
북 125
 
7.4%
도 125
 
7.4%
영 125
 
7.4%
상 124
 
7.3%
동 111
 
6.6%
로 106
 
6.3%
완 87
 
5.1%
Other values (73) 482
28.5%
Common
ValueCountFrequency (%)
532
48.0%
( 105
 
9.5%
) 105
 
9.5%
5 64
 
5.8%
1 49
 
4.4%
2 44
 
4.0%
4 39
 
3.5%
3 34
 
3.1%
7 28
 
2.5%
9 27
 
2.4%
Other values (5) 81
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1693
60.4%
ASCII 1108
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
532
48.0%
( 105
 
9.5%
) 105
 
9.5%
5 64
 
5.8%
1 49
 
4.4%
2 44
 
4.0%
4 39
 
3.5%
3 34
 
3.1%
7 28
 
2.5%
9 27
 
2.4%
Other values (5) 81
 
7.3%
Hangul
ValueCountFrequency (%)
시 155
 
9.2%
천 128
 
7.6%
경 125
 
7.4%
북 125
 
7.4%
도 125
 
7.4%
영 125
 
7.4%
상 124
 
7.3%
동 111
 
6.6%
로 106
 
6.3%
완 87
 
5.1%
Other values (73) 482
28.5%

운영시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
09:00~18:00
119 
09:00~17:00
 
1
08:00~20:00
 
1
09:00~21:00
 
1
09:00~18:01
 
1

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique5 ?
Unique (%)4.0%

Sample

1st row09:00~17:00
2nd row09:00~18:00
3rd row09:00~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
09:00~18:00 119
96.0%
09:00~17:00 1
 
0.8%
08:00~20:00 1
 
0.8%
09:00~21:00 1
 
0.8%
09:00~18:01 1
 
0.8%
09:00~18:02 1
 
0.8%

Length

2024-03-15T00:39:07.612747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:39:07.915024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~18:00 119
96.0%
09:00~17:00 1
 
0.8%
08:00~20:00 1
 
0.8%
09:00~21:00 1
 
0.8%
09:00~18:01 1
 
0.8%
09:00~18:02 1
 
0.8%

진료과목
Categorical

Distinct19
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
한방내과
33 
치과
23 
내과
22 
정형외과
8 
외과
8 
Other values (14)
30 

Length

Max length7
Median length6
Mean length3.3709677
Min length2

Unique

Unique6 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
한방내과 33
26.6%
치과 23
18.5%
내과 22
17.7%
정형외과 8
 
6.5%
외과 8
 
6.5%
정신건강의학과 5
 
4.0%
안과 4
 
3.2%
이비인후과 4
 
3.2%
마취통증의학과 3
 
2.4%
가정의학과 2
 
1.6%
Other values (9) 12
 
9.7%

Length

2024-03-15T00:39:08.305907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한방내과 33
26.4%
치과 23
18.4%
내과 22
17.6%
정형외과 8
 
6.4%
외과 8
 
6.4%
정신건강의학과 5
 
4.0%
안과 4
 
3.2%
이비인후과 4
 
3.2%
마취통증의학과 3
 
2.4%
소아청소년과 2
 
1.6%
Other values (10) 13
 
10.4%

병상수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.016129
Minimum0
Maximum660
Zeros108
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-15T00:39:08.646994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile130.45
Maximum660
Range660
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74.909917
Coefficient of variation (CV)4.402289
Kurtosis46.750603
Mean17.016129
Median Absolute Deviation (MAD)0
Skewness6.2873753
Sum2110
Variance5611.4957
MonotonicityNot monotonic
2024-03-15T00:39:08.924510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 108
87.1%
29 2
 
1.6%
30 1
 
0.8%
12 1
 
0.8%
2 1
 
0.8%
23 1
 
0.8%
4 1
 
0.8%
19 1
 
0.8%
200 1
 
0.8%
299 1
 
0.8%
Other values (6) 6
 
4.8%
ValueCountFrequency (%)
0 108
87.1%
2 1
 
0.8%
4 1
 
0.8%
12 1
 
0.8%
19 1
 
0.8%
23 1
 
0.8%
29 2
 
1.6%
30 1
 
0.8%
31 1
 
0.8%
148 1
 
0.8%
ValueCountFrequency (%)
660 1
0.8%
299 1
0.8%
262 1
0.8%
200 1
0.8%
196 1
0.8%
166 1
0.8%
148 1
0.8%
31 1
0.8%
30 1
0.8%
29 2
1.6%

전화번호
Text

Distinct122
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T00:39:09.942160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.991935
Min length11

Characters and Unicode

Total characters1487
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

Unique120 ?
Unique (%)96.8%

Sample

1st row054-338-9000
2nd row054-330-7700
3rd row054-336-3311
4th row054-337-5119
5th row054-330-9531
ValueCountFrequency (%)
054-336-1216 2
 
1.6%
054-332-0017 2
 
1.6%
054-336-5800 1
 
0.8%
054-331-7999 1
 
0.8%
054-338-9000 1
 
0.8%
054-332-2875 1
 
0.8%
054-706-8275 1
 
0.8%
054-332-7588 1
 
0.8%
054-335-2787 1
 
0.8%
054-715-1600 1
 
0.8%
Other values (112) 112
90.3%
2024-03-15T00:39:11.368984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 290
19.5%
- 247
16.6%
5 205
13.8%
0 193
13.0%
4 161
10.8%
7 101
 
6.8%
1 82
 
5.5%
2 63
 
4.2%
8 60
 
4.0%
6 45
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1240
83.4%
Dash Punctuation 247
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 290
23.4%
5 205
16.5%
0 193
15.6%
4 161
13.0%
7 101
 
8.1%
1 82
 
6.6%
2 63
 
5.1%
8 60
 
4.8%
6 45
 
3.6%
9 40
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1487
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 290
19.5%
- 247
16.6%
5 205
13.8%
0 193
13.0%
4 161
10.8%
7 101
 
6.8%
1 82
 
5.5%
2 63
 
4.2%
8 60
 
4.0%
6 45
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1487
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 290
19.5%
- 247
16.6%
5 205
13.8%
0 193
13.0%
4 161
10.8%
7 101
 
6.8%
1 82
 
5.5%
2 63
 
4.2%
8 60
 
4.0%
6 45
 
3.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.967078
Minimum35.915723
Maximum36.041551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-15T00:39:11.696719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.915723
5-th percentile35.932006
Q135.963093
median35.963928
Q335.971613
95-th percentile35.988152
Maximum36.041551
Range0.125828
Interquartile range (IQR)0.00851925

Descriptive statistics

Standard deviation0.019519526
Coefficient of variation (CV)0.00054270536
Kurtosis7.1842273
Mean35.967078
Median Absolute Deviation (MAD)0.00228964
Skewness1.7356444
Sum4459.9177
Variance0.00038101189
MonotonicityNot monotonic
2024-03-15T00:39:12.160060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.963657 7
 
5.6%
35.964827 6
 
4.8%
35.965259 4
 
3.2%
35.963723 4
 
3.2%
35.975036 3
 
2.4%
35.964841 3
 
2.4%
35.96314 2
 
1.6%
35.975224 2
 
1.6%
35.96621764 2
 
1.6%
35.965174 2
 
1.6%
Other values (83) 89
71.8%
ValueCountFrequency (%)
35.915723 1
0.8%
35.930557 1
0.8%
35.930653 1
0.8%
35.930664 1
0.8%
35.931415 1
0.8%
35.931528 1
0.8%
35.93199 1
0.8%
35.932094 1
0.8%
35.932392 1
0.8%
35.9329444 1
0.8%
ValueCountFrequency (%)
36.041551 1
0.8%
36.041504 1
0.8%
36.041381 1
0.8%
36.041196 1
0.8%
36.040983 1
0.8%
35.988341 1
0.8%
35.98825 1
0.8%
35.98759883 1
0.8%
35.987562 1
0.8%
35.98625 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.92822
Minimum128.78784
Maximum129.01043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-15T00:39:12.608370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.78784
5-th percentile128.87051
Q1128.9298
median128.93709
Q3128.93922
95-th percentile128.95115
Maximum129.01043
Range0.222595
Interquartile range (IQR)0.00941875

Descriptive statistics

Standard deviation0.034829959
Coefficient of variation (CV)0.00027015001
Kurtosis8.9249618
Mean128.92822
Median Absolute Deviation (MAD)0.0029455
Skewness-2.7570253
Sum15987.099
Variance0.0012131261
MonotonicityNot monotonic
2024-03-15T00:39:13.063083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.93671 7
 
5.6%
128.939207 6
 
4.8%
128.939212 4
 
3.2%
128.936278 4
 
3.2%
128.947478 3
 
2.4%
128.938609 3
 
2.4%
128.937081 2
 
1.6%
128.947724 2
 
1.6%
128.9392959 2
 
1.6%
128.938635 2
 
1.6%
Other values (83) 89
71.8%
ValueCountFrequency (%)
128.787838 1
0.8%
128.787984 1
0.8%
128.788056 1
0.8%
128.788305 1
0.8%
128.788546 1
0.8%
128.870316 1
0.8%
128.870484 1
0.8%
128.870672 1
0.8%
128.871954 1
0.8%
128.872431 1
0.8%
ValueCountFrequency (%)
129.010433 1
0.8%
128.990919 1
0.8%
128.955233 1
0.8%
128.9548408 1
0.8%
128.954032 1
0.8%
128.95307 1
0.8%
128.95156 1
0.8%
128.9487942 1
0.8%
128.948301 1
0.8%
128.94805 1
0.8%

Interactions

2024-03-15T00:38:57.342855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:54.291558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:55.281563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:56.296768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:57.598263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:54.532164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:55.543516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:56.555716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:57.807967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:54.782024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:55.795003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:56.806564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:57.960347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:55.041003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:56.052620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:38:57.062559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:39:13.330341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영시간진료과목병상수위도경도
연번1.0000.0540.7740.5240.1420.319
운영시간0.0541.0000.7710.4140.0000.626
진료과목0.7740.7711.0000.6110.0000.555
병상수0.5240.4140.6111.0000.4590.371
위도0.1420.0000.0000.4591.0000.909
경도0.3190.6260.5550.3710.9091.000
2024-03-15T00:39:13.601777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간진료과목
운영시간1.0000.465
진료과목0.4651.000
2024-03-15T00:39:13.843800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번병상수위도경도운영시간진료과목
연번1.000-0.436-0.161-0.1540.0130.406
병상수-0.4361.0000.003-0.1100.2940.335
위도-0.1610.0031.0000.5400.0000.000
경도-0.154-0.1100.5401.0000.2690.278
운영시간0.0130.2940.0000.2691.0000.465
진료과목0.4060.3350.0000.2780.4651.000

Missing values

2024-03-15T00:38:58.286782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:38:58.735051image/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

연번의료기관명소재지운영시간진료과목병상수전화번호위도경도
01영남대학교의과대학부속 영천병원경상북도 영천시 오수1길 10(오수동)09:00~17:00종합병원200054-338-900035.957212128.913075
12의료법인동승의료재단 동승병원경상북도 영천시 동강포길 87(도남동)09:00~18:00정신건강의학과299054-330-770035.932944128.929613
23의료법인고담의료재단 마야병원경상북도 영천시 북안면 내서로 55-2509:00~18:00정신건강의학과660054-336-331135.973292128.938549
34의료법인무일의료재단 참좋은요양병원경상북도 영천시 망정1길 32(망정동)09:00~18:00내과148054-337-511935.976337128.948794
45의료법인송학의료재단 효사랑요양병원경상북도 영천시 금호읍 금호로 48409:00~18:00내과166054-330-953135.952741128.906446
56영천요양병원경상북도 영천시 천문로 596-8(오미동)09:00~18:00내과262054-336-300035.987562128.924594
67의료법인현보의료재단 해오름요양병원경상북도 영천시 오수1길 21-0(오수동)09:00~18:00내과196054-335795335.987599128.924892
78영천손한방병원경상북도 영천시 시장로 28(금노동)09:00~18:00한방과31054-334-477135.963035128.933199
89닥터스치과병원경상북도 영천시 호국로 41 4층(야사동)09:00~18:00치과0054-335-287935.972887128.942274
910의료법인자혜의료재단 영천제이병원경상북도 영천시 호국로 145(망정동)09:00~18:00산부인과30054-331-996635.976944128.95307
연번의료기관명소재지운영시간진료과목병상수전화번호위도경도
114115아침을여는 한의윈경상북도 영천시 언하공단로 8109:00~18:00한방내과0054-333-066635.985904128.954841
115116소강한의원경상북도 영천시 완산로 33-1(완산동)09:00~18:00한방내과0054-334-252735.963172128.938744
116117율곡한의원경상북도 영천시 강변로 69 (금노동)09:00~18:00한방내과0054-337-119235.96197128.929927
117118영신한의원경상북도 영천시 시장로 31 (금노동)09:00~18:00한방내과0054-334-254935.963447128.933592
118119영동한의원경상북도 영천시 강변로 65 (금노동)09:00~18:00한방내과0054-332-839835.961891128.929683
119120금호한의원경상북도 영천시 금호읍 금호로 9909:00~18:00한방내과0054-332-723935.931415128.872431
120121대구한의원경상북도 영천시 신녕면 불바위길 409:00~18:00한방내과0054-334-946036.041196128.788546
121122대원한의원경상북도 영천시 강변로 43 (금노동)09:00~18:00한방내과0054-331-446735.961159128.927523
122123영제한의원경상북도 영천시 강변로 45 (금노동)09:00~18:00한방내과0054-334-342235.961122128.927733
123124경애한의원경상북도 영천시 강남길 49(완산동)09:00~18:00한방내과0054-338-887135.966338128.938067