Overview

Dataset statistics

Number of variables7
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory58.1 B

Variable types

Categorical2
DateTime1
Text3
Numeric1

Dataset

Description경상북도 의료기관(병원급) 현황에 대한 데이터로 의료기관의 시군별, 허가일자, 의료기관명, 종류, 주소, 전화번호, 병상 수의 현황입니다.
Author경상북도
URLhttps://www.data.go.kr/data/15062995/fileData.do

Alerts

주소 has unique valuesUnique
전화번호 has unique valuesUnique
병상수 has 12 (10.1%) zerosZeros

Reproduction

Analysis started2024-04-06 08:49:06.604844
Analysis finished2024-04-06 08:49:08.305311
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct22
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
구미시
16 
경주시
15 
포항시 북구
14 
안동시
12 
경산시
10 
Other values (17)
52 

Length

Max length6
Median length3
Mean length3.5294118
Min length3

Unique

Unique7 ?
Unique (%)5.9%

Sample

1st row포항시 북구
2nd row포항시 북구
3rd row포항시 북구
4th row포항시 북구
5th row포항시 북구

Common Values

ValueCountFrequency (%)
구미시 16
13.4%
경주시 15
12.6%
포항시 북구 14
11.8%
안동시 12
10.1%
경산시 10
8.4%
영주시 9
7.6%
포항시 남구 7
 
5.9%
상주시 5
 
4.2%
영천시 5
 
4.2%
김천시 4
 
3.4%
Other values (12) 22
18.5%

Length

2024-04-06T17:49:08.964155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포항시 21
15.0%
구미시 16
11.4%
경주시 15
10.7%
북구 14
10.0%
안동시 12
8.6%
경산시 10
 
7.1%
영주시 9
 
6.4%
남구 7
 
5.0%
상주시 5
 
3.6%
영천시 5
 
3.6%
Other values (13) 26
18.6%

허가일자
Date

Distinct114
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1966-04-26 00:00:00
Maximum2023-08-30 00:00:00
2024-04-06T17:49:09.374565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:49:09.776598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

의료기관명
Text

Distinct118
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T17:49:10.456053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length10.596639
Min length4

Characters and Unicode

Total characters1261
Distinct characters172
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

Unique117 ?
Unique (%)98.3%

Sample

1st row흥해아동병원
2nd row미르치과병원
3rd row포항재활의학병원
4th row의료법인삼정의료재단포항여성병원
5th row의료법인현암의료재단 포항우리병원
ValueCountFrequency (%)
의료법인 10
 
6.5%
라온치과병원 2
 
1.3%
의료법인덕산의료재단김천제일병원 1
 
0.7%
으뜸병원 1
 
0.7%
경상북도김천의료원 1
 
0.7%
구미예치과병원 1
 
0.7%
여연의료재단 1
 
0.7%
인동엘리트치과병원 1
 
0.7%
가이드치과병원 1
 
0.7%
구미강동병원 1
 
0.7%
Other values (133) 133
86.9%
2024-04-06T17:49:11.444781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 123
 
9.8%
병 115
 
9.1%
의 104
 
8.2%
료 95
 
7.5%
인 54
 
4.3%
재 51
 
4.0%
법 47
 
3.7%
단 45
 
3.6%
34
 
2.7%
영 20
 
1.6%
Other values (162) 573
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1225
97.1%
Space Separator 34
 
2.7%
Close Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 123
 
10.0%
병 115
 
9.4%
의 104
 
8.5%
료 95
 
7.8%
인 54
 
4.4%
재 51
 
4.2%
법 47
 
3.8%
단 45
 
3.7%
영 20
 
1.6%
동 20
 
1.6%
Other values (159) 551
45.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1225
97.1%
Common 36
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 123
 
10.0%
병 115
 
9.4%
의 104
 
8.5%
료 95
 
7.8%
인 54
 
4.4%
재 51
 
4.2%
법 47
 
3.8%
단 45
 
3.7%
영 20
 
1.6%
동 20
 
1.6%
Other values (159) 551
45.0%
Common
ValueCountFrequency (%)
34
94.4%
) 1
 
2.8%
1 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1225
97.1%
ASCII 36
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 123
 
10.0%
병 115
 
9.4%
의 104
 
8.5%
료 95
 
7.8%
인 54
 
4.4%
재 51
 
4.2%
법 47
 
3.8%
단 45
 
3.7%
영 20
 
1.6%
동 20
 
1.6%
Other values (159) 551
45.0%
ASCII
ValueCountFrequency (%)
34
94.4%
) 1
 
2.8%
1 1
 
2.8%

종류
Categorical

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
병원
52 
정신병원
26 
종합병원
21 
치과병원
12 
한방병원
8 

Length

Max length4
Median length4
Mean length3.1260504
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
병원 52
43.7%
정신병원 26
21.8%
종합병원 21
17.6%
치과병원 12
 
10.1%
한방병원 8
 
6.7%

Length

2024-04-06T17:49:11.841387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:49:12.205992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 52
43.7%
정신병원 26
21.8%
종합병원 21
17.6%
치과병원 12
 
10.1%
한방병원 8
 
6.7%

주소
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T17:49:13.076708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length24.966387
Min length18

Characters and Unicode

Total characters2971
Distinct characters185
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

Unique119 ?
Unique (%)100.0%

Sample

1st row경상북도 포항시 북구 흥해읍 한동로45번길 30-8, 3~5층
2nd row경상북도 포항시 북구 포스코대로 288 (죽도동)
3rd row경상북도 포항시 북구 포스코대로 271-1 (죽도동)
4th row경상북도 포항시 북구 포스코대로 269 (죽도동)
5th row경상북도 포항시 북구 포스코대로 256 (죽도동)
ValueCountFrequency (%)
경상북도 119
 
18.6%
포항시 21
 
3.3%
구미시 16
 
2.5%
경주시 15
 
2.3%
북구 14
 
2.2%
안동시 12
 
1.9%
경산시 10
 
1.6%
영주시 9
 
1.4%
층 7
 
1.1%
남구 7
 
1.1%
Other values (316) 410
64.1%
2024-04-06T17:49:14.265935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
570
19.2%
경 157
 
5.3%
도 138
 
4.6%
북 137
 
4.6%
상 130
 
4.4%
동 126
 
4.2%
시 105
 
3.5%
( 93
 
3.1%
) 93
 
3.1%
로 89
 
3.0%
Other values (175) 1333
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
58.6%
Space Separator 570
 
19.2%
Decimal Number 403
 
13.6%
Open Punctuation 93
 
3.1%
Close Punctuation 93
 
3.1%
Dash Punctuation 37
 
1.2%
Other Punctuation 28
 
0.9%
Math Symbol 4
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 157
 
9.0%
도 138
 
7.9%
북 137
 
7.9%
상 130
 
7.5%
동 126
 
7.2%
시 105
 
6.0%
로 89
 
5.1%
구 41
 
2.4%
주 39
 
2.2%
길 39
 
2.2%
Other values (156) 739
42.5%
Decimal Number
ValueCountFrequency (%)
1 71
17.6%
2 52
12.9%
3 51
12.7%
6 38
9.4%
5 38
9.4%
0 37
9.2%
4 36
8.9%
7 32
7.9%
8 24
 
6.0%
9 24
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
A 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
570
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1740
58.6%
Common 1228
41.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 157
 
9.0%
도 138
 
7.9%
북 137
 
7.9%
상 130
 
7.5%
동 126
 
7.2%
시 105
 
6.0%
로 89
 
5.1%
구 41
 
2.4%
주 39
 
2.2%
길 39
 
2.2%
Other values (156) 739
42.5%
Common
ValueCountFrequency (%)
570
46.4%
( 93
 
7.6%
) 93
 
7.6%
1 71
 
5.8%
2 52
 
4.2%
3 51
 
4.2%
6 38
 
3.1%
5 38
 
3.1%
0 37
 
3.0%
- 37
 
3.0%
Other values (6) 148
 
12.1%
Latin
ValueCountFrequency (%)
G 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1740
58.6%
ASCII 1231
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
570
46.3%
( 93
 
7.6%
) 93
 
7.6%
1 71
 
5.8%
2 52
 
4.2%
3 51
 
4.1%
6 38
 
3.1%
5 38
 
3.1%
0 37
 
3.0%
- 37
 
3.0%
Other values (9) 151
 
12.3%
Hangul
ValueCountFrequency (%)
경 157
 
9.0%
도 138
 
7.9%
북 137
 
7.9%
상 130
 
7.5%
동 126
 
7.2%
시 105
 
6.0%
로 89
 
5.1%
구 41
 
2.4%
주 39
 
2.2%
길 39
 
2.2%
Other values (156) 739
42.5%

전화번호
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T17:49:14.905572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1428
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

Unique119 ?
Unique (%)100.0%

Sample

1st row054-240-1004
2nd row054-277-2800
3rd row054-272-7582
4th row054-274-7775
5th row054-240-6000
ValueCountFrequency (%)
054-240-1004 1
 
0.8%
054-710-6000 1
 
0.8%
054-444-8575 1
 
0.8%
054-452-0000 1
 
0.8%
054-451-7500 1
 
0.8%
054-451-2000 1
 
0.8%
054-450-9700 1
 
0.8%
054-442-0046 1
 
0.8%
054-457-8676 1
 
0.8%
054-453-7575 1
 
0.8%
Other values (109) 109
91.6%
2024-04-06T17:49:15.933601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 301
21.1%
- 238
16.7%
5 205
14.4%
4 174
12.2%
1 98
 
6.9%
7 96
 
6.7%
3 82
 
5.7%
8 73
 
5.1%
2 69
 
4.8%
6 50
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1190
83.3%
Dash Punctuation 238
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 301
25.3%
5 205
17.2%
4 174
14.6%
1 98
 
8.2%
7 96
 
8.1%
3 82
 
6.9%
8 73
 
6.1%
2 69
 
5.8%
6 50
 
4.2%
9 42
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 301
21.1%
- 238
16.7%
5 205
14.4%
4 174
12.2%
1 98
 
6.9%
7 96
 
6.7%
3 82
 
5.7%
8 73
 
5.1%
2 69
 
4.8%
6 50
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 301
21.1%
- 238
16.7%
5 205
14.4%
4 174
12.2%
1 98
 
6.9%
7 96
 
6.7%
3 82
 
5.7%
8 73
 
5.1%
2 69
 
4.8%
6 50
 
3.5%

병상수
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.94118
Minimum0
Maximum1005
Zeros12
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T17:49:16.375798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q152.5
median116
Q3258
95-th percentile435
Maximum1005
Range1005
Interquartile range (IQR)205.5

Descriptive statistics

Standard deviation171.41215
Coefficient of variation (CV)0.98546042
Kurtosis5.7161926
Mean173.94118
Median Absolute Deviation (MAD)84
Skewness2.0269448
Sum20699
Variance29382.124
MonotonicityNot monotonic
2024-04-06T17:49:16.804220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
10.1%
299 6
 
5.0%
50 5
 
4.2%
98 4
 
3.4%
30 4
 
3.4%
68 2
 
1.7%
36 2
 
1.7%
55 2
 
1.7%
187 2
 
1.7%
296 2
 
1.7%
Other values (70) 78
65.5%
ValueCountFrequency (%)
0 12
10.1%
30 4
 
3.4%
31 1
 
0.8%
36 2
 
1.7%
37 1
 
0.8%
40 1
 
0.8%
44 1
 
0.8%
48 2
 
1.7%
50 5
4.2%
51 1
 
0.8%
ValueCountFrequency (%)
1005 1
0.8%
724 1
0.8%
720 1
0.8%
705 1
0.8%
660 1
0.8%
570 1
0.8%
420 1
0.8%
385 1
0.8%
376 1
0.8%
358 1
0.8%

Interactions

2024-04-06T17:49:07.430594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:49:17.041354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명종류병상수
시군명1.0000.0000.000
종류0.0001.0000.656
병상수0.0000.6561.000
2024-04-06T17:49:17.294226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명종류
시군명1.0000.000
종류0.0001.000
2024-04-06T17:49:17.529581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병상수시군명종류
병상수1.0000.0000.445
시군명0.0001.0000.000
종류0.4450.0001.000

Missing values

2024-04-06T17:49:07.770834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:49:08.179724image/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

시군명허가일자의료기관명종류주소전화번호병상수
0포항시 북구2014-02-07흥해아동병원병원경상북도 포항시 북구 흥해읍 한동로45번길 30-8, 3~5층054-240-100437
1포항시 북구2007-07-02미르치과병원치과병원경상북도 포항시 북구 포스코대로 288 (죽도동)054-277-28000
2포항시 북구2007-11-19포항재활의학병원병원경상북도 포항시 북구 포스코대로 271-1 (죽도동)054-272-758264
3포항시 북구2003-03-18의료법인삼정의료재단포항여성병원병원경상북도 포항시 북구 포스코대로 269 (죽도동)054-274-777598
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