Overview

Dataset statistics

Number of variables11
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory98.7 B

Variable types

Numeric6
Text4
DateTime1

Dataset

Description부산광역시_종합병원현황_20230927
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15083386

Alerts

계 is highly overall correlated with 일반 and 1 other fieldsHigh correlation
일반 is highly overall correlated with 계 and 1 other fieldsHigh correlation
정신 is highly overall correlated with 계 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique
정신 has 21 (75.0%) zerosZeros

Reproduction

Analysis started2023-12-10 16:36:18.805458
Analysis finished2023-12-10 16:36:23.528873
Duration4.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:36:23.632472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2023-12-11T01:36:23.791295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

의료기관명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T01:36:24.066617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17.5
Mean length12.107143
Min length4

Characters and Unicode

Total characters339
Distinct characters87
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

Unique28 ?
Unique (%)100.0%

Sample

1st row동남권원자력의학원
2nd row부산성모병원(재단법인 천주교부산교구유지재단)
3rd row좋은문화병원
4th row재단법인한호기독교선교회 일신기독병원
5th row의료법인정화의료재단 봉생기념병원
ValueCountFrequency (%)
의료법인 6
 
12.8%
인당의료재단 2
 
4.3%
인제대학교 1
 
2.1%
좋은강안병원 1
 
2.1%
한국보훈복지의료공단 1
 
2.1%
부산보훈병원 1
 
2.1%
고신대학교복음병원 1
 
2.1%
부산대학교병원 1
 
2.1%
동아대학교병원 1
 
2.1%
삼육부산병원 1
 
2.1%
Other values (31) 31
66.0%
2023-12-11T01:36:24.599777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 29
 
8.6%
병 26
 
7.7%
의 20
 
5.9%
19
 
5.6%
료 18
 
5.3%
인 17
 
5.0%
단 14
 
4.1%
재 13
 
3.8%
교 13
 
3.8%
법 13
 
3.8%
Other values (77) 157
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
93.5%
Space Separator 19
 
5.6%
Close Punctuation 2
 
0.6%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 29
 
9.1%
병 26
 
8.2%
의 20
 
6.3%
료 18
 
5.7%
인 17
 
5.4%
단 14
 
4.4%
재 13
 
4.1%
교 13
 
4.1%
법 13
 
4.1%
부 10
 
3.2%
Other values (74) 144
45.4%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
93.5%
Common 22
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 29
 
9.1%
병 26
 
8.2%
의 20
 
6.3%
료 18
 
5.7%
인 17
 
5.4%
단 14
 
4.4%
재 13
 
4.1%
교 13
 
4.1%
법 13
 
4.1%
부 10
 
3.2%
Other values (74) 144
45.4%
Common
ValueCountFrequency (%)
19
86.4%
) 2
 
9.1%
( 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
93.5%
ASCII 22
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 29
 
9.1%
병 26
 
8.2%
의 20
 
6.3%
료 18
 
5.7%
인 17
 
5.4%
단 14
 
4.4%
재 13
 
4.1%
교 13
 
4.1%
법 13
 
4.1%
부 10
 
3.2%
Other values (74) 144
45.4%
ASCII
ValueCountFrequency (%)
19
86.4%
) 2
 
9.1%
( 1
 
4.5%

대표자
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T01:36:24.847524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9642857
Min length2

Characters and Unicode

Total characters83
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)71.4%

Sample

1st row이진경
2nd row손삼석
3rd row문화숙
4th row인명진
5th row김남희
ValueCountFrequency (%)
정흥태 2
 
7.1%
손삼석 2
 
7.1%
이순형 2
 
7.1%
구정회 2
 
7.1%
박시환 1
 
3.6%
이진경 1
 
3.6%
조평래 1
 
3.6%
김휘택 1
 
3.6%
윤철수 1
 
3.6%
강순기 1
 
3.6%
Other values (14) 14
50.0%
2023-12-11T01:36:25.262686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 9
 
10.8%
이 4
 
4.8%
김 4
 
4.8%
환 3
 
3.6%
순 3
 
3.6%
화 2
 
2.4%
휘 2
 
2.4%
수 2
 
2.4%
흥 2
 
2.4%
박 2
 
2.4%
Other values (39) 50
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 9
 
10.8%
이 4
 
4.8%
김 4
 
4.8%
환 3
 
3.6%
순 3
 
3.6%
화 2
 
2.4%
휘 2
 
2.4%
수 2
 
2.4%
흥 2
 
2.4%
박 2
 
2.4%
Other values (39) 50
60.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 9
 
10.8%
이 4
 
4.8%
김 4
 
4.8%
환 3
 
3.6%
순 3
 
3.6%
화 2
 
2.4%
휘 2
 
2.4%
수 2
 
2.4%
흥 2
 
2.4%
박 2
 
2.4%
Other values (39) 50
60.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 9
 
10.8%
이 4
 
4.8%
김 4
 
4.8%
환 3
 
3.6%
순 3
 
3.6%
화 2
 
2.4%
휘 2
 
2.4%
수 2
 
2.4%
흥 2
 
2.4%
박 2
 
2.4%
Other values (39) 50
60.2%

도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T01:36:25.561491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length35
Mean length27.571429
Min length20

Characters and Unicode

Total characters772
Distinct characters104
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 장안읍 좌동길 40
2nd row부산광역시 남구 용호로232번길 25-14 (용호동)
3rd row부산광역시 동구 범일로 119 (범일동)
4th row부산광역시 동구 정공단로 27 (좌천동)
5th row부산광역시 동구 중앙대로 401 (좌천동, 봉생병원)
ValueCountFrequency (%)
부산광역시 28
 
17.9%
서구 4
 
2.6%
부산진구 4
 
2.6%
동구 3
 
1.9%
동래구 3
 
1.9%
중앙대로 2
 
1.3%
해운대로 2
 
1.3%
해운대구 2
 
1.3%
태종로 2
 
1.3%
영도구 2
 
1.3%
Other values (95) 104
66.7%
2023-12-11T01:36:26.109871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
16.6%
동 38
 
4.9%
부 35
 
4.5%
산 32
 
4.1%
구 30
 
3.9%
광 30
 
3.9%
( 28
 
3.6%
) 28
 
3.6%
로 28
 
3.6%
시 28
 
3.6%
Other values (94) 367
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 461
59.7%
Space Separator 128
 
16.6%
Decimal Number 113
 
14.6%
Open Punctuation 28
 
3.6%
Close Punctuation 28
 
3.6%
Other Punctuation 11
 
1.4%
Math Symbol 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
 
8.2%
부 35
 
7.6%
산 32
 
6.9%
구 30
 
6.5%
광 30
 
6.5%
로 28
 
6.1%
시 28
 
6.1%
역 28
 
6.1%
대 20
 
4.3%
가 8
 
1.7%
Other values (77) 184
39.9%
Decimal Number
ValueCountFrequency (%)
1 23
20.4%
2 16
14.2%
7 12
10.6%
3 11
9.7%
5 10
8.8%
6 9
 
8.0%
9 9
 
8.0%
4 8
 
7.1%
8 8
 
7.1%
0 7
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 461
59.7%
Common 311
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
 
8.2%
부 35
 
7.6%
산 32
 
6.9%
구 30
 
6.5%
광 30
 
6.5%
로 28
 
6.1%
시 28
 
6.1%
역 28
 
6.1%
대 20
 
4.3%
가 8
 
1.7%
Other values (77) 184
39.9%
Common
ValueCountFrequency (%)
128
41.2%
( 28
 
9.0%
) 28
 
9.0%
1 23
 
7.4%
2 16
 
5.1%
7 12
 
3.9%
3 11
 
3.5%
5 10
 
3.2%
, 10
 
3.2%
6 9
 
2.9%
Other values (7) 36
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
59.2%
ASCII 311
40.3%
Compat Jamo 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
41.2%
( 28
 
9.0%
) 28
 
9.0%
1 23
 
7.4%
2 16
 
5.1%
7 12
 
3.9%
3 11
 
3.5%
5 10
 
3.2%
, 10
 
3.2%
6 9
 
2.9%
Other values (7) 36
 
11.6%
Hangul
ValueCountFrequency (%)
동 38
 
8.3%
부 35
 
7.7%
산 32
 
7.0%
구 30
 
6.6%
광 30
 
6.6%
로 28
 
6.1%
시 28
 
6.1%
역 28
 
6.1%
대 20
 
4.4%
가 8
 
1.8%
Other values (76) 180
39.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.154723
Minimum35.080292
Maximum35.321419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:36:26.316699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.080292
5-th percentile35.092058
Q135.117949
median35.150363
Q335.176836
95-th percentile35.211143
Maximum35.321419
Range0.2411273
Interquartile range (IQR)0.058886835

Descriptive statistics

Standard deviation0.050032093
Coefficient of variation (CV)0.0014231969
Kurtosis3.2355782
Mean35.154723
Median Absolute Deviation (MAD)0.033653405
Skewness1.2661113
Sum984.33224
Variance0.0025032104
MonotonicityNot monotonic
2023-12-11T01:36:26.478503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
35.32141899 1
 
3.6%
35.15333437 1
 
3.6%
35.17334314 1
 
3.6%
35.16142041 1
 
3.6%
35.10758097 1
 
3.6%
35.0922712 1
 
3.6%
35.09194298 1
 
3.6%
35.18731265 1
 
3.6%
35.16104606 1
 
3.6%
35.15015906 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
35.08029169 1
3.6%
35.09194298 1
3.6%
35.0922712 1
3.6%
35.10105418 1
3.6%
35.10758097 1
3.6%
35.11045733 1
3.6%
35.11177721 1
3.6%
35.12000584 1
3.6%
35.13085784 1
3.6%
35.13550455 1
3.6%
ValueCountFrequency (%)
35.32141899 1
3.6%
35.21191432 1
3.6%
35.20971003 1
3.6%
35.20703333 1
3.6%
35.20427317 1
3.6%
35.19694648 1
3.6%
35.18731265 1
3.6%
35.17334314 1
3.6%
35.16992218 1
3.6%
35.16142041 1
3.6%

경도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06436
Minimum129.00475
Maximum129.24365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:36:26.670303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.00475
5-th percentile129.00714
Q1129.01882
median129.05258
Q3129.0842
95-th percentile129.1729
Maximum129.24365
Range0.2388982
Interquartile range (IQR)0.065385775

Descriptive statistics

Standard deviation0.057470324
Coefficient of variation (CV)0.00044528425
Kurtosis2.4914306
Mean129.06436
Median Absolute Deviation (MAD)0.0341711
Skewness1.505029
Sum3613.8019
Variance0.0033028382
MonotonicityNot monotonic
2023-12-11T01:36:26.818585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
129.2436492 1
 
3.6%
129.0065651 1
 
3.6%
129.1821812 1
 
3.6%
129.1556561 1
 
3.6%
129.0324638 1
 
3.6%
129.0405372 1
 
3.6%
129.0438643 1
 
3.6%
129.0591792 1
 
3.6%
129.1128811 1
 
3.6%
129.1107244 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
129.004751 1
3.6%
129.0065651 1
3.6%
129.0081979 1
3.6%
129.0107498 1
3.6%
129.0112123 1
3.6%
129.0157202 1
3.6%
129.0176037 1
3.6%
129.0192221 1
3.6%
129.0205715 1
3.6%
129.0324638 1
3.6%
ValueCountFrequency (%)
129.2436492 1
3.6%
129.1821812 1
3.6%
129.1556561 1
3.6%
129.1128811 1
3.6%
129.1107244 1
3.6%
129.109192 1
3.6%
129.0961666 1
3.6%
129.0802155 1
3.6%
129.0767444 1
3.6%
129.0711361 1
3.6%

전화번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T01:36:27.395784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique28 ?
Unique (%)100.0%

Sample

1st row051-720-5114
2nd row051-933-7114
3rd row051-644-2002
4th row051-630-0300
5th row051-664-4000
ValueCountFrequency (%)
051-720-5114 1
 
3.6%
051-933-7114 1
 
3.6%
051-602-8000 1
 
3.6%
051-465-8801 1
 
3.6%
051-414-8101 1
 
3.6%
051-412-6161 1
 
3.6%
051-507-3000 1
 
3.6%
051-756-0081 1
 
3.6%
051-625-0900 1
 
3.6%
051-242-9751 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T01:36:27.753445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89
26.5%
1 56
16.7%
- 56
16.7%
5 39
11.6%
3 18
 
5.4%
6 18
 
5.4%
4 17
 
5.1%
2 16
 
4.8%
7 10
 
3.0%
8 9
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
31.8%
1 56
20.0%
5 39
13.9%
3 18
 
6.4%
6 18
 
6.4%
4 17
 
6.1%
2 16
 
5.7%
7 10
 
3.6%
8 9
 
3.2%
9 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89
26.5%
1 56
16.7%
- 56
16.7%
5 39
11.6%
3 18
 
5.4%
6 18
 
5.4%
4 17
 
5.1%
2 16
 
4.8%
7 10
 
3.0%
8 9
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89
26.5%
1 56
16.7%
- 56
16.7%
5 39
11.6%
3 18
 
5.4%
6 18
 
5.4%
4 17
 
5.1%
2 16
 
4.8%
7 10
 
3.0%
8 9
 
2.7%

계
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean457.78571
Minimum150
Maximum1182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:36:27.988307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile184.1
Q1262.5
median375.5
Q3542.25
95-th percentile960.2
Maximum1182
Range1032
Interquartile range (IQR)279.75

Descriptive statistics

Standard deviation272.52337
Coefficient of variation (CV)0.59530773
Kurtosis0.72853479
Mean457.78571
Median Absolute Deviation (MAD)126.5
Skewness1.2467466
Sum12818
Variance74268.989
MonotonicityNot monotonic
2023-12-11T01:36:28.179156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
299 2
 
7.1%
223 1
 
3.6%
377 1
 
3.6%
890 1
 
3.6%
357 1
 
3.6%
367 1
 
3.6%
219 1
 
3.6%
265 1
 
3.6%
543 1
 
3.6%
542 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
150 1
3.6%
175 1
3.6%
201 1
3.6%
219 1
3.6%
223 1
3.6%
243 1
3.6%
255 1
3.6%
265 1
3.6%
292 1
3.6%
299 2
7.1%
ValueCountFrequency (%)
1182 1
3.6%
998 1
3.6%
890 1
3.6%
887 1
3.6%
842 1
3.6%
700 1
3.6%
543 1
3.6%
542 1
3.6%
475 1
3.6%
448 1
3.6%

일반
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452.75
Minimum150
Maximum1158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:36:28.370063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile184.1
Q1262.5
median370.5
Q3518.75
95-th percentile941.95
Maximum1158
Range1008
Interquartile range (IQR)256.25

Descriptive statistics

Standard deviation264.74623
Coefficient of variation (CV)0.58475147
Kurtosis0.74936582
Mean452.75
Median Absolute Deviation (MAD)115.5
Skewness1.2557586
Sum12677
Variance70090.565
MonotonicityNot monotonic
2023-12-11T01:36:28.565663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
255 2
 
7.1%
299 2
 
7.1%
475 1
 
3.6%
875 1
 
3.6%
357 1
 
3.6%
367 1
 
3.6%
219 1
 
3.6%
265 1
 
3.6%
511 1
 
3.6%
542 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
150 1
3.6%
175 1
3.6%
201 1
3.6%
219 1
3.6%
243 1
3.6%
255 2
7.1%
265 1
3.6%
292 1
3.6%
299 2
7.1%
357 1
3.6%
ValueCountFrequency (%)
1158 1
3.6%
978 1
3.6%
875 1
3.6%
867 1
3.6%
822 1
3.6%
700 1
3.6%
542 1
3.6%
511 1
3.6%
475 1
3.6%
448 1
3.6%

정신
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1785714
Minimum0
Maximum42
Zeros21
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:36:28.748511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.75
95-th percentile29.2
Maximum42
Range42
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation11.738047
Coefficient of variation (CV)1.8997995
Kurtosis2.3338554
Mean6.1785714
Median Absolute Deviation (MAD)0
Skewness1.7879155
Sum173
Variance137.78175
MonotonicityNot monotonic
2023-12-11T01:36:28.924215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
75.0%
20 3
 
10.7%
42 1
 
3.6%
24 1
 
3.6%
32 1
 
3.6%
15 1
 
3.6%
ValueCountFrequency (%)
0 21
75.0%
15 1
 
3.6%
20 3
 
10.7%
24 1
 
3.6%
32 1
 
3.6%
42 1
 
3.6%
ValueCountFrequency (%)
42 1
 
3.6%
32 1
 
3.6%
24 1
 
3.6%
20 3
 
10.7%
15 1
 
3.6%
0 21
75.0%

인허가일자
Date

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1974-02-26 00:00:00
Maximum2015-07-09 00:00:00
2023-12-11T01:36:29.128826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:29.383168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

Interactions

2023-12-11T01:36:22.313635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.240848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.802565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.290936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.825037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:21.585391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:22.533064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.343040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.876742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.390494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.905538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:21.731726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:22.667529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.430302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.949708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.466695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.987811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:21.838901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:22.791328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.539785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.028232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.557569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:21.123514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:21.960562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:22.920289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.638435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.103360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.641975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:21.288810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:22.090887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:23.031843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.730326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.193107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:20.743683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:21.439111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:22.208044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:36:29.546870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명대표자도로명주소위도경도전화번호계일반정신인허가일자
연번1.0001.0000.7021.0000.4480.4361.0000.4450.5170.4170.932
의료기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자0.7021.0001.0001.0000.9540.0001.0000.8740.8740.8320.956
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.4481.0000.9541.0001.0000.5141.0000.0000.0000.0000.934
경도0.4361.0000.0001.0000.5141.0001.0000.0000.0000.5420.965
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
계0.4451.0000.8741.0000.0000.0001.0001.0001.0000.8290.908
일반0.5171.0000.8741.0000.0000.0001.0001.0001.0000.8290.892
정신0.4171.0000.8321.0000.0000.5421.0000.8290.8291.0000.907
인허가일자0.9321.0000.9561.0000.9340.9651.0000.9080.8920.9071.000
2023-12-11T01:36:29.755266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도계일반정신
연번1.000-0.244-0.1170.2660.2770.150
위도-0.2441.0000.345-0.164-0.157-0.254
경도-0.1170.3451.000-0.146-0.135-0.138
계0.266-0.164-0.1461.0000.9930.658
일반0.277-0.157-0.1350.9931.0000.598
정신0.150-0.254-0.1380.6580.5981.000

Missing values

2023-12-11T01:36:23.227453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:36:23.447572image/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

연번의료기관명대표자도로명주소위도경도전화번호계일반정신인허가일자
01동남권원자력의학원이진경부산광역시 기장군 장안읍 좌동길 4035.321419129.243649051-720-511422325502010-04-14
12부산성모병원(재단법인 천주교부산교구유지재단)손삼석부산광역시 남구 용호로232번길 25-14 (용호동)35.110457129.109192051-933-711437737702006-06-02
23좋은문화병원문화숙부산광역시 동구 범일로 119 (범일동)35.140724129.059064051-644-200229229201986-11-01
34재단법인한호기독교선교회 일신기독병원인명진부산광역시 동구 정공단로 27 (좌천동)35.135505129.054597051-630-030015015001984-07-02
45의료법인정화의료재단 봉생기념병원김남희부산광역시 동구 중앙대로 401 (좌천동, 봉생병원)35.130858129.050571051-664-4000405363421985-01-05
56동래봉생병원정의화부산광역시 동래구 안연로109번길 27 (안락동)35.196946129.096167051-531-600025525501990-06-01
67대동병원박성환부산광역시 동래구 충렬대로 187 (명륜동)35.204273129.080216051-554-123343243201980-02-21
78의료법인 광혜의료재단 광혜병원이광웅부산광역시 동래구 충렬대로 96 (온천동, 광혜병원)35.207033129.071136051-503-211117517501983-12-07
89의료법인 온그룹의료재단 온종합병원김승희부산광역시 부산진구 가야대로 721, 719, 767 (당감동)35.157877129.049984051-607-013370070002010-02-26
910인제대학교부산백병원이순형부산광역시 부산진구 복지로 75, 진사로83번길 81, 1층(일부), 3층 (개금동)35.146454129.020571051-890-6114842822201979-06-01
연번의료기관명대표자도로명주소위도경도전화번호계일반정신인허가일자
1819동아대학교병원정휘위부산광역시 서구 대신공원로 26 (동대신동3가)35.120006129.017604051-240-2400998978201990-03-03
1920삼육부산병원강순기부산광역시 서구 대티로 170 (서대신동2가)35.111777129.01075051-242-975129929901974-03-07
2021의료법인 은성의료재단 좋은강안병원구정회부산광역시 수영구 수영로 493 (남천동)35.150159129.110724051-625-090054254202005-02-23
2122비에이치에스한서병원윤철수부산광역시 수영구 수영로 615 (광안동)35.161046129.112881051-756-008129929901987-11-02
2223부산광역시의료원김휘택부산광역시 연제구 월드컵대로 359 (거제동, 1동, 5동일부)35.187313129.059179051-507-3000543511321982-06-30
2324의료법인 행도의료재단 해동병원조평래부산광역시 영도구 태종로 133 (봉래동3가)35.091943129.043864051-412-616126526501984-07-05
2425영도병원정준환부산광역시 영도구 태종로 85 (대교동2가)35.092271129.040537051-414-810121921901996-06-29
2526재단법인천주교부산교구유지재단 메리놀병원손삼석부산광역시 중구 중구로 121 (대청동4가)35.107581129.032464051-465-880136736701974-04-30
2627의료법인 인당의료재단 해운대부민병원정흥태부산광역시 해운대구 해운대로 584 (우동)35.16142129.155656051-602-800035735702015-07-09
2728인제대학교 해운대백병원이순형부산광역시 해운대구 해운대로 875 (좌동)35.173343129.182181051-797-0100890875152010-02-10