Overview

Dataset statistics

Number of variables8
Number of observations142
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory68.9 B

Variable types

Numeric4
Categorical1
Text3

Dataset

Description아산시 관내 운영중인 의원현황자료로서 전문과목, 의료기관명,주소지,전화번호,입원실 및 병상수, 총면적의 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=435&beforeMenuCd=DOM_000000201001001000&publicdatapk=15055148

Alerts

입원실 is highly overall correlated with 병상High correlation
병상 is highly overall correlated with 입원실High correlation
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique
입원실 has 125 (88.0%) zerosZeros
병상 has 125 (88.0%) zerosZeros

Reproduction

Analysis started2024-01-09 22:45:31.736655
Analysis finished2024-01-09 22:45:33.477909
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.5
Minimum1
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T07:45:33.552483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.05
Q136.25
median71.5
Q3106.75
95-th percentile134.95
Maximum142
Range141
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation41.135953
Coefficient of variation (CV)0.57532802
Kurtosis-1.2
Mean71.5
Median Absolute Deviation (MAD)35.5
Skewness0
Sum10153
Variance1692.1667
MonotonicityStrictly increasing
2024-01-10T07:45:33.696942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
99 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
100 1
 
0.7%
91 1
 
0.7%
Other values (132) 132
93.0%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%

전문과목
Categorical

Distinct19
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
내과
22 
가정의학과
21 
<NA>
21 
소아청소년과
11 
이비인후과
8 
Other values (14)
59 

Length

Max length8
Median length7
Mean length4.1971831
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row신경외과
2nd row마취통증의학과
3rd row영상의학과
4th row정신건강의학과
5th row가정의학과

Common Values

ValueCountFrequency (%)
내과 22
15.5%
가정의학과 21
14.8%
<NA> 21
14.8%
소아청소년과 11
7.7%
이비인후과 8
 
5.6%
외과 7
 
4.9%
정형외과 7
 
4.9%
안과 7
 
4.9%
비뇨의학과 6
 
4.2%
마취통증의학과 5
 
3.5%
Other values (9) 27
19.0%

Length

2024-01-10T07:45:33.847629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내과 22
15.5%
na 21
14.8%
가정의학과 21
14.8%
소아청소년과 11
7.7%
이비인후과 8
 
5.6%
외과 7
 
4.9%
정형외과 7
 
4.9%
안과 7
 
4.9%
비뇨의학과 6
 
4.2%
산부인과 5
 
3.5%
Other values (9) 27
19.0%

의료기관명
Text

UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-10T07:45:34.033687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.7746479
Min length4

Characters and Unicode

Total characters1104
Distinct characters197
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)100.0%

Sample

1st row아산탑신경외과의원
2nd row신세계마취통증의학과의원
3rd row연세비에이치의원
4th row키다리정신건강의학과의원
5th row클린스의원
ValueCountFrequency (%)
아산탑신경외과의원 1
 
0.7%
아산현대의원 1
 
0.7%
속이좋은내과의원 1
 
0.7%
아산제일내과의원 1
 
0.7%
봄정신건강의학과의원 1
 
0.7%
미래메디칼의원 1
 
0.7%
박영선내과의원 1
 
0.7%
박종필성형외과의원 1
 
0.7%
청아미즈산부인과의원 1
 
0.7%
영인외과의원 1
 
0.7%
Other values (133) 133
93.0%
2024-01-10T07:45:34.335426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 162
 
14.7%
원 144
 
13.0%
과 97
 
8.8%
아 34
 
3.1%
이 24
 
2.2%
소 23
 
2.1%
정 23
 
2.1%
내 23
 
2.1%
학 19
 
1.7%
외 19
 
1.7%
Other values (187) 536
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1087
98.5%
Decimal Number 6
 
0.5%
Uppercase Letter 5
 
0.5%
Other Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%
Space Separator 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 162
 
14.9%
원 144
 
13.2%
과 97
 
8.9%
아 34
 
3.1%
이 24
 
2.2%
소 23
 
2.1%
정 23
 
2.1%
내 23
 
2.1%
학 19
 
1.7%
외 19
 
1.7%
Other values (174) 519
47.7%
Uppercase Letter
ValueCountFrequency (%)
J 2
40.0%
D 1
20.0%
G 1
20.0%
E 1
20.0%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
6 2
33.3%
5 2
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1087
98.5%
Common 11
 
1.0%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 162
 
14.9%
원 144
 
13.2%
과 97
 
8.9%
아 34
 
3.1%
이 24
 
2.2%
소 23
 
2.1%
정 23
 
2.1%
내 23
 
2.1%
학 19
 
1.7%
외 19
 
1.7%
Other values (174) 519
47.7%
Common
ValueCountFrequency (%)
3 2
18.2%
6 2
18.2%
5 2
18.2%
& 1
9.1%
1
9.1%
) 1
9.1%
( 1
9.1%
. 1
9.1%
Latin
ValueCountFrequency (%)
J 2
33.3%
D 1
16.7%
r 1
16.7%
G 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1087
98.5%
ASCII 17
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 162
 
14.9%
원 144
 
13.2%
과 97
 
8.9%
아 34
 
3.1%
이 24
 
2.2%
소 23
 
2.1%
정 23
 
2.1%
내 23
 
2.1%
학 19
 
1.7%
외 19
 
1.7%
Other values (174) 519
47.7%
ASCII
ValueCountFrequency (%)
3 2
11.8%
6 2
11.8%
J 2
11.8%
5 2
11.8%
& 1
 
5.9%
D 1
 
5.9%
r 1
 
5.9%
G 1
 
5.9%
E 1
 
5.9%
1
 
5.9%
Other values (3) 3
17.6%

의료기관주소(도로명)
Text

Distinct137
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-10T07:45:34.606517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length43
Mean length28.788732
Min length19

Characters and Unicode

Total characters4088
Distinct characters159
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

Unique132 ?
Unique (%)93.0%

Sample

1st row충청남도 아산시 배방읍 배방로 25, 장호빌딩 4층
2nd row충청남도 아산시 온궁로 33, 3층 (온천동)
3rd row충청남도 아산시 배방읍 고속철대로 83, 5층
4th row충청남도 아산시 배방읍 광장로 210, 202동 A214호 (요진 와이시티)
5th row충청남도 아산시 탕정면 한들물빛도시로 88, 거산타워 403~406호
ValueCountFrequency (%)
충청남도 142
 
16.2%
아산시 142
 
16.2%
온천동 48
 
5.5%
배방읍 33
 
3.8%
충무로 22
 
2.5%
3층 19
 
2.2%
모종동 17
 
1.9%
2층 16
 
1.8%
온천대로 14
 
1.6%
5층 9
 
1.0%
Other values (241) 414
47.3%
2024-01-10T07:45:35.248917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
734
 
18.0%
시 166
 
4.1%
충 164
 
4.0%
산 161
 
3.9%
아 158
 
3.9%
남 147
 
3.6%
도 146
 
3.6%
청 144
 
3.5%
2 133
 
3.3%
로 131
 
3.2%
Other values (149) 2004
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2329
57.0%
Space Separator 734
 
18.0%
Decimal Number 663
 
16.2%
Other Punctuation 117
 
2.9%
Open Punctuation 101
 
2.5%
Close Punctuation 101
 
2.5%
Dash Punctuation 22
 
0.5%
Math Symbol 13
 
0.3%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 166
 
7.1%
충 164
 
7.0%
산 161
 
6.9%
아 158
 
6.8%
남 147
 
6.3%
도 146
 
6.3%
청 144
 
6.2%
로 131
 
5.6%
동 88
 
3.8%
온 68
 
2.9%
Other values (128) 956
41.0%
Decimal Number
ValueCountFrequency (%)
2 133
20.1%
1 116
17.5%
3 95
14.3%
4 85
12.8%
0 63
9.5%
5 58
8.7%
8 34
 
5.1%
6 31
 
4.7%
7 25
 
3.8%
9 23
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
J 3
37.5%
G 1
 
12.5%
A 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 116
99.1%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
734
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2329
57.0%
Common 1751
42.8%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 166
 
7.1%
충 164
 
7.0%
산 161
 
6.9%
아 158
 
6.8%
남 147
 
6.3%
도 146
 
6.3%
청 144
 
6.2%
로 131
 
5.6%
동 88
 
3.8%
온 68
 
2.9%
Other values (128) 956
41.0%
Common
ValueCountFrequency (%)
734
41.9%
2 133
 
7.6%
, 116
 
6.6%
1 116
 
6.6%
( 101
 
5.8%
) 101
 
5.8%
3 95
 
5.4%
4 85
 
4.9%
0 63
 
3.6%
5 58
 
3.3%
Other values (7) 149
 
8.5%
Latin
ValueCountFrequency (%)
S 3
37.5%
J 3
37.5%
G 1
 
12.5%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2329
57.0%
ASCII 1759
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
734
41.7%
2 133
 
7.6%
, 116
 
6.6%
1 116
 
6.6%
( 101
 
5.7%
) 101
 
5.7%
3 95
 
5.4%
4 85
 
4.8%
0 63
 
3.6%
5 58
 
3.3%
Other values (11) 157
 
8.9%
Hangul
ValueCountFrequency (%)
시 166
 
7.1%
충 164
 
7.0%
산 161
 
6.9%
아 158
 
6.8%
남 147
 
6.3%
도 146
 
6.3%
청 144
 
6.2%
로 131
 
5.6%
동 88
 
3.8%
온 68
 
2.9%
Other values (128) 956
41.0%

의료기관전화번호
Text

UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-10T07:45:35.497307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1704
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

Unique142 ?
Unique (%)100.0%

Sample

1st row041-427-0175
2nd row041-534-6939
3rd row041-532-9988
4th row041-555-3255
5th row041-427-0075
ValueCountFrequency (%)
041-427-0175 1
 
0.7%
041-547-3375 1
 
0.7%
041-547-0707 1
 
0.7%
041-545-6388 1
 
0.7%
041-548-3191 1
 
0.7%
041-533-0087 1
 
0.7%
041-545-7588 1
 
0.7%
041-532-6838 1
 
0.7%
041-531-7525 1
 
0.7%
041-548-5275 1
 
0.7%
Other values (132) 132
93.0%
2024-01-10T07:45:35.829189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 284
16.7%
4 278
16.3%
0 253
14.8%
5 230
13.5%
1 222
13.0%
3 107
 
6.3%
7 89
 
5.2%
2 73
 
4.3%
8 68
 
4.0%
9 55
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1420
83.3%
Dash Punctuation 284
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 278
19.6%
0 253
17.8%
5 230
16.2%
1 222
15.6%
3 107
 
7.5%
7 89
 
6.3%
2 73
 
5.1%
8 68
 
4.8%
9 55
 
3.9%
6 45
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1704
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 284
16.7%
4 278
16.3%
0 253
14.8%
5 230
13.5%
1 222
13.0%
3 107
 
6.3%
7 89
 
5.2%
2 73
 
4.3%
8 68
 
4.0%
9 55
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 284
16.7%
4 278
16.3%
0 253
14.8%
5 230
13.5%
1 222
13.0%
3 107
 
6.3%
7 89
 
5.2%
2 73
 
4.3%
8 68
 
4.0%
9 55
 
3.2%

입원실
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83098592
Minimum0
Maximum20
Zeros125
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T07:45:35.950814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.9
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8056979
Coefficient of variation (CV)3.3763484
Kurtosis20.780013
Mean0.83098592
Median Absolute Deviation (MAD)0
Skewness4.2814878
Sum118
Variance7.8719409
MonotonicityNot monotonic
2024-01-10T07:45:36.070275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 125
88.0%
3 4
 
2.8%
4 3
 
2.1%
8 2
 
1.4%
14 1
 
0.7%
1 1
 
0.7%
7 1
 
0.7%
12 1
 
0.7%
5 1
 
0.7%
9 1
 
0.7%
Other values (2) 2
 
1.4%
ValueCountFrequency (%)
0 125
88.0%
1 1
 
0.7%
3 4
 
2.8%
4 3
 
2.1%
5 1
 
0.7%
7 1
 
0.7%
8 2
 
1.4%
9 1
 
0.7%
10 1
 
0.7%
12 1
 
0.7%
ValueCountFrequency (%)
20 1
 
0.7%
14 1
 
0.7%
12 1
 
0.7%
10 1
 
0.7%
9 1
 
0.7%
8 2
1.4%
7 1
 
0.7%
5 1
 
0.7%
4 3
2.1%
3 4
2.8%

병상
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4788732
Minimum0
Maximum29
Zeros125
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T07:45:36.196370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.95
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2059953
Coefficient of variation (CV)3.5202445
Kurtosis17.405047
Mean1.4788732
Median Absolute Deviation (MAD)0
Skewness4.1522236
Sum210
Variance27.102387
MonotonicityNot monotonic
2024-01-10T07:45:36.318286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 125
88.0%
3 2
 
1.4%
29 2
 
1.4%
6 2
 
1.4%
4 2
 
1.4%
9 1
 
0.7%
12 1
 
0.7%
23 1
 
0.7%
1 1
 
0.7%
15 1
 
0.7%
Other values (4) 4
 
2.8%
ValueCountFrequency (%)
0 125
88.0%
1 1
 
0.7%
3 2
 
1.4%
4 2
 
1.4%
6 2
 
1.4%
8 1
 
0.7%
9 1
 
0.7%
10 1
 
0.7%
12 1
 
0.7%
15 1
 
0.7%
ValueCountFrequency (%)
29 2
1.4%
28 1
0.7%
23 1
0.7%
20 1
0.7%
15 1
0.7%
12 1
0.7%
10 1
0.7%
9 1
0.7%
8 1
0.7%
6 2
1.4%

총면적
Real number (ℝ)

Distinct141
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean332.57366
Minimum55.18
Maximum1905.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T07:45:36.453456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.18
5-th percentile92.5295
Q1142.67
median200.2
Q3366.7625
95-th percentile1132.3925
Maximum1905.81
Range1850.63
Interquartile range (IQR)224.0925

Descriptive statistics

Standard deviation346.88846
Coefficient of variation (CV)1.0430425
Kurtosis7.9463829
Mean332.57366
Median Absolute Deviation (MAD)80.92
Skewness2.7398021
Sum47225.46
Variance120331.6
MonotonicityNot monotonic
2024-01-10T07:45:36.589901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.0 2
 
1.4%
359.7 1
 
0.7%
162.5 1
 
0.7%
422.67 1
 
0.7%
97.61 1
 
0.7%
317.78 1
 
0.7%
632.66 1
 
0.7%
105.85 1
 
0.7%
181.51 1
 
0.7%
126.81 1
 
0.7%
Other values (131) 131
92.3%
ValueCountFrequency (%)
55.18 1
0.7%
60.39 1
0.7%
69.75 1
0.7%
70.81 1
0.7%
75.46 1
0.7%
87.78 1
0.7%
89.0 1
0.7%
92.41 1
0.7%
94.8 1
0.7%
96.5 1
0.7%
ValueCountFrequency (%)
1905.81 1
0.7%
1829.04 1
0.7%
1649.94 1
0.7%
1643.8 1
0.7%
1457.2 1
0.7%
1415.0 1
0.7%
1169.31 1
0.7%
1142.53 1
0.7%
939.78 1
0.7%
844.24 1
0.7%

Interactions

2024-01-10T07:45:32.936739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.054851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.354785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.655339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:33.020141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.132330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.430727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.725231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:33.099197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.211269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.509577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.800955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:33.179856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.281083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.580927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:45:32.866626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:45:36.671502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번전문과목입원실병상총면적
순번1.0000.3180.0000.0000.277
전문과목0.3181.0000.3350.5130.517
입원실0.0000.3351.0000.9840.783
병상0.0000.5130.9841.0000.727
총면적0.2770.5170.7830.7271.000
2024-01-10T07:45:36.753325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번입원실병상총면적전문과목
순번1.000-0.131-0.130-0.2770.117
입원실-0.1311.0000.9990.3880.068
병상-0.1300.9991.0000.3880.183
총면적-0.2770.3880.3881.0000.215
전문과목0.1170.0680.1830.2151.000

Missing values

2024-01-10T07:45:33.293271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:45:33.425769image/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

순번전문과목의료기관명의료기관주소(도로명)의료기관전화번호입원실병상총면적
01신경외과아산탑신경외과의원충청남도 아산시 배방읍 배방로 25, 장호빌딩 4층041-427-017500572.3
12마취통증의학과신세계마취통증의학과의원충청남도 아산시 온궁로 33, 3층 (온천동)041-534-693900297.0
23영상의학과연세비에이치의원충청남도 아산시 배방읍 고속철대로 83, 5층041-532-998833356.89
34정신건강의학과키다리정신건강의학과의원충청남도 아산시 배방읍 광장로 210, 202동 A214호 (요진 와이시티)041-555-32550096.52
45가정의학과클린스의원충청남도 아산시 탕정면 한들물빛도시로 88, 거산타워 403~406호041-427-007500401.31
56가정의학과케이메디칼의원충청남도 아산시 탕정면 한들물빛6로 16, 7~8층041-544-535300664.7
67내과퍼스트고려내과의원충청남도 아산시 탕정면 한들물빛6로 14, 원윤타워 4층041-548-751100440.43
78이비인후과탕정열린이비인후과의원충청남도 아산시 탕정면 한들물빛도시로 85, 2,3,4층041-533-711889836.3
89신경외과서울튼튼신경외과의원충청남도 아산시 배방읍 배방로 26, 다온팰리스 2층 201호041-531-755500426.69
910비뇨의학과온가족비뇨의학과의원충청남도 아산시 모종로 5, 하연빌딩 1동 3층 301호 (모종동)041-532-197900201.67
순번전문과목의료기관명의료기관주소(도로명)의료기관전화번호입원실병상총면적
132133안과EG임안과의원충청남도 아산시 충무로 22, 306호 (온천동, 유엘시티)041-544-221100412.8
133134비뇨의학과수비뇨기과의원충청남도 아산시 충무로 14 (온천동)041-545-113000119.06
134135<NA>도고성모의원충청남도 아산시 도고면 아산만로 177041-544-839400104.0
135136<NA>경희의원충청남도 아산시 온천대로 1474 (온천동)041-546-405100149.18
136137내과김병모내과의원충청남도 아산시 충무로 26 (온천동)041-542-812100358.45
137138안과김안과의원충청남도 아산시 충무로 14 (온천동)041-544-13230060.39
138139신경외과온양신경외과의원충청남도 아산시 시민로 424 (온천동)041-544-010000176.8
139140<NA>제일내과의원충청남도 아산시 충무로 16 (온천동)041-545-373300140.3
140141가정의학과서울의원충청남도 아산시 둔포면 둔포중앙로137번길 7-5041-531-456700113.92
141142외과성모외과의원충청남도 아산시 온천대로 1542-5 (온천동)041-545-460000255.22