Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory63.1 B

Variable types

Text3
Categorical1
Numeric1
Boolean2

Dataset

Description부산광역시수영구_특수의료장비공동활용병상동의현황_20230405
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3046175

Alerts

병상 is highly overall correlated with 의료기관종별 and 1 other fieldsHigh correlation
의료기관종별 is highly overall correlated with 병상High correlation
공동활용병상 동의 현황(MRI) is highly overall correlated with 병상High correlation
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 09:41:57.659545
Analysis finished2024-04-21 09:41:59.111901
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-21T18:41:59.658564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length8.5238095
Min length4

Characters and Unicode

Total characters179
Distinct characters78
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row경희정도한방병원
2nd row수영어린이병원
3rd row상쾌한병원
4th row한나병원
5th row신세계안과의원
ValueCountFrequency (%)
경희정도한방병원 1
 
4.0%
토마스정형외과의원 1
 
4.0%
참좋은신경외과의원 1
 
4.0%
새빛안과의원 1
 
4.0%
미담유외과의원 1
 
4.0%
의원 1
 
4.0%
신경과,이비인후과 1
 
4.0%
부산달팽이 1
 
4.0%
에이스안과의원 1
 
4.0%
강필비뇨의학과의원 1
 
4.0%
Other values (15) 15
60.0%
2024-04-21T18:42:00.532679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 21
 
11.7%
의 19
 
10.6%
과 15
 
8.4%
외 7
 
3.9%
정 5
 
2.8%
이 5
 
2.8%
4
 
2.2%
병 4
 
2.2%
형 4
 
2.2%
신 3
 
1.7%
Other values (68) 92
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
97.2%
Space Separator 4
 
2.2%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 21
 
12.1%
의 19
 
10.9%
과 15
 
8.6%
외 7
 
4.0%
정 5
 
2.9%
이 5
 
2.9%
병 4
 
2.3%
형 4
 
2.3%
신 3
 
1.7%
산 3
 
1.7%
Other values (66) 88
50.6%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
97.2%
Common 5
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 21
 
12.1%
의 19
 
10.9%
과 15
 
8.6%
외 7
 
4.0%
정 5
 
2.9%
이 5
 
2.9%
병 4
 
2.3%
형 4
 
2.3%
신 3
 
1.7%
산 3
 
1.7%
Other values (66) 88
50.6%
Common
ValueCountFrequency (%)
4
80.0%
, 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
97.2%
ASCII 5
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 21
 
12.1%
의 19
 
10.9%
과 15
 
8.6%
외 7
 
4.0%
정 5
 
2.9%
이 5
 
2.9%
병 4
 
2.3%
형 4
 
2.3%
신 3
 
1.7%
산 3
 
1.7%
Other values (66) 88
50.6%
ASCII
ValueCountFrequency (%)
4
80.0%
, 1
 
20.0%

의료기관종별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
의원
17 
병원
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 17
81.0%
병원 4
 
19.0%

Length

2024-04-21T18:42:00.800540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:42:01.111888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 17
81.0%
병원 4
 
19.0%

의료기관주소(도로명)
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-21T18:42:01.781024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length27.285714
Min length21

Characters and Unicode

Total characters573
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row부산광역시 수영구 수영로 711, 5~15(9층 제외)층 (수영동)
2nd row부산광역시 수영구 수영로 671, 2~3층 (광안동)
3rd row부산광역시 수영구 연수로 406 (광안동)
4th row부산광역시 수영구 황령대로481번길 7 (남천동)
5th row부산광역시 수영구 수영로 669 (광안동)
ValueCountFrequency (%)
부산광역시 21
17.8%
수영구 21
17.8%
수영로 16
13.6%
광안동 11
 
9.3%
수영동 4
 
3.4%
669 3
 
2.5%
남천동 3
 
2.5%
675 2
 
1.7%
710-1 2
 
1.7%
2~4층 2
 
1.7%
Other values (31) 33
28.0%
2024-04-21T18:42:02.943491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
16.9%
수 44
 
7.7%
영 42
 
7.3%
광 34
 
5.9%
( 22
 
3.8%
) 22
 
3.8%
부 21
 
3.7%
역 21
 
3.7%
시 21
 
3.7%
구 21
 
3.7%
Other values (34) 228
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
55.7%
Space Separator 97
 
16.9%
Decimal Number 90
 
15.7%
Open Punctuation 22
 
3.8%
Close Punctuation 22
 
3.8%
Other Punctuation 16
 
2.8%
Math Symbol 5
 
0.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 44
13.8%
영 42
13.2%
광 34
10.7%
부 21
6.6%
역 21
6.6%
시 21
6.6%
구 21
6.6%
로 21
6.6%
산 21
6.6%
동 21
6.6%
Other values (18) 52
16.3%
Decimal Number
ValueCountFrequency (%)
6 19
21.1%
1 15
16.7%
7 11
12.2%
5 10
11.1%
4 10
11.1%
9 8
8.9%
2 7
 
7.8%
0 4
 
4.4%
3 3
 
3.3%
8 3
 
3.3%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
55.7%
Common 254
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 44
13.8%
영 42
13.2%
광 34
10.7%
부 21
6.6%
역 21
6.6%
시 21
6.6%
구 21
6.6%
로 21
6.6%
산 21
6.6%
동 21
6.6%
Other values (18) 52
16.3%
Common
ValueCountFrequency (%)
97
38.2%
( 22
 
8.7%
) 22
 
8.7%
6 19
 
7.5%
, 16
 
6.3%
1 15
 
5.9%
7 11
 
4.3%
5 10
 
3.9%
4 10
 
3.9%
9 8
 
3.1%
Other values (6) 24
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
55.7%
ASCII 254
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
38.2%
( 22
 
8.7%
) 22
 
8.7%
6 19
 
7.5%
, 16
 
6.3%
1 15
 
5.9%
7 11
 
4.3%
5 10
 
3.9%
4 10
 
3.9%
9 8
 
3.1%
Other values (6) 24
 
9.4%
Hangul
ValueCountFrequency (%)
수 44
13.8%
영 42
13.2%
광 34
10.7%
부 21
6.6%
역 21
6.6%
시 21
6.6%
구 21
6.6%
로 21
6.6%
산 21
6.6%
동 21
6.6%
Other values (18) 52
16.3%

의료기관전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-21T18:42:03.658240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row051-996-0015
2nd row051-753-3579
3rd row051-751-9775
4th row051-625-2300
5th row051-758-3497
ValueCountFrequency (%)
051-996-0015 1
 
4.8%
051-714-7114 1
 
4.8%
051-757-0075 1
 
4.8%
051-758-8833 1
 
4.8%
051-754-6660 1
 
4.8%
051-784-7582 1
 
4.8%
051-714-4774 1
 
4.8%
051-757-6263 1
 
4.8%
051-753-0640 1
 
4.8%
051-753-3523 1
 
4.8%
Other values (11) 11
52.4%
2024-04-21T18:42:04.727067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 46
18.3%
- 42
16.7%
0 35
13.9%
7 34
13.5%
1 33
13.1%
8 13
 
5.2%
3 12
 
4.8%
6 11
 
4.4%
4 11
 
4.4%
2 9
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 46
21.9%
0 35
16.7%
7 34
16.2%
1 33
15.7%
8 13
 
6.2%
3 12
 
5.7%
6 11
 
5.2%
4 11
 
5.2%
2 9
 
4.3%
9 6
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 46
18.3%
- 42
16.7%
0 35
13.9%
7 34
13.5%
1 33
13.1%
8 13
 
5.2%
3 12
 
4.8%
6 11
 
4.4%
4 11
 
4.4%
2 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 46
18.3%
- 42
16.7%
0 35
13.9%
7 34
13.5%
1 33
13.1%
8 13
 
5.2%
3 12
 
4.8%
6 11
 
4.4%
4 11
 
4.4%
2 9
 
3.6%

병상
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.904762
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-21T18:42:05.090394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q323
95-th percentile60
Maximum95
Range94
Interquartile range (IQR)21

Descriptive statistics

Standard deviation23.884942
Coefficient of variation (CV)1.3339994
Kurtosis4.6807538
Mean17.904762
Median Absolute Deviation (MAD)4
Skewness2.0537205
Sum376
Variance570.49048
MonotonicityNot monotonic
2024-04-21T18:42:05.423215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 5
23.8%
1 3
14.3%
60 1
 
4.8%
38 1
 
4.8%
37 1
 
4.8%
95 1
 
4.8%
20 1
 
4.8%
22 1
 
4.8%
5 1
 
4.8%
29 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
1 3
14.3%
2 5
23.8%
3 1
 
4.8%
4 1
 
4.8%
5 1
 
4.8%
11 1
 
4.8%
16 1
 
4.8%
20 1
 
4.8%
22 1
 
4.8%
23 1
 
4.8%
ValueCountFrequency (%)
95 1
4.8%
60 1
4.8%
38 1
4.8%
37 1
4.8%
29 1
4.8%
23 1
4.8%
22 1
4.8%
20 1
4.8%
16 1
4.8%
11 1
4.8%

공동활용병상 동의 현황(CT)
Boolean

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size149.0 B
True
15 
False
6 
ValueCountFrequency (%)
True 15
71.4%
False 6
 
28.6%
2024-04-21T18:42:05.602928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공동활용병상 동의 현황(MRI)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size149.0 B
False
12 
True
9 
ValueCountFrequency (%)
False 12
57.1%
True 9
42.9%
2024-04-21T18:42:05.766843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-04-21T18:41:58.065481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T18:42:05.887241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호병상공동활용병상 동의 현황(CT)공동활용병상 동의 현황(MRI)
의료기관명1.0001.0001.0001.0001.0001.0001.000
의료기관종별1.0001.0001.0001.0001.0000.0000.000
의료기관주소(도로명)1.0001.0001.0001.0001.0001.0001.000
의료기관전화번호1.0001.0001.0001.0001.0001.0001.000
병상1.0001.0001.0001.0001.0000.1500.898
공동활용병상 동의 현황(CT)1.0000.0001.0001.0000.1501.0000.579
공동활용병상 동의 현황(MRI)1.0000.0001.0001.0000.8980.5791.000
2024-04-21T18:42:06.078674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공동활용병상 동의 현황(CT)공동활용병상 동의 현황(MRI)의료기관종별
공동활용병상 동의 현황(CT)1.0000.3900.000
공동활용병상 동의 현황(MRI)0.3901.0000.000
의료기관종별0.0000.0001.000
2024-04-21T18:42:06.234162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병상의료기관종별공동활용병상 동의 현황(CT)공동활용병상 동의 현황(MRI)
병상1.0000.8890.0000.631
의료기관종별0.8891.0000.0000.000
공동활용병상 동의 현황(CT)0.0000.0001.0000.390
공동활용병상 동의 현황(MRI)0.6310.0000.3901.000

Missing values

2024-04-21T18:41:58.578189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T18:41:58.954634image/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

의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호병상공동활용병상 동의 현황(CT)공동활용병상 동의 현황(MRI)
0경희정도한방병원병원부산광역시 수영구 수영로 711, 5~15(9층 제외)층 (수영동)051-996-001560YY
1수영어린이병원병원부산광역시 수영구 수영로 671, 2~3층 (광안동)051-753-357938YN
2상쾌한병원병원부산광역시 수영구 연수로 406 (광안동)051-751-977537YY
3한나병원병원부산광역시 수영구 황령대로481번길 7 (남천동)051-625-230095YY
4신세계안과의원의원부산광역시 수영구 수영로 669 (광안동)051-758-34971YN
5삼성정형외과의원의원부산광역시 수영구 수영로 636, 1,2층 (광안동)051-754-871020YY
6본정형외과의원의원부산광역시 수영구 수영로725번길 4 (수영동)051-752-170022YY
7인구보건복지협회 부산시지회 가족보건의원의원부산광역시 수영구 수영로 425 (남천동)051-624-55835NN
8서울재활의학과의원의원부산광역시 수영구 수영로 669, 지하1층, 2~4층 (광안동)051-756-510029YY
9코끼리이비인후과의원의원부산광역시 수영구 수영로 710-1, 5층 (광안동)051-758-76771YN
의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호병상공동활용병상 동의 현황(CT)공동활용병상 동의 현황(MRI)
11토마스정형외과의원의원부산광역시 수영구 수영로 379, 6~8층 (남천동)051-714-711416YY
12부산더맑은의원의원부산광역시 수영구 수영로 761, 2~4층 (수영동)051-753-352311NN
13뉴하트의원의원부산광역시 수영구 수영로 699, 4층 (수영동)051-753-06402YN
14강필비뇨의학과의원의원부산광역시 수영구 수영로 669, 7층 (광안동)051-757-62631YN
15에이스안과의원의원부산광역시 수영구 수영로 581, 6층 (광안동)051-714-47742YN
16부산달팽이 신경과,이비인후과 의원의원부산광역시 수영구 수영로 675, 6층 (광안동)051-784-75822NN
17미담유외과의원의원부산광역시 수영구 수영로 675, 11층 (광안동)051-754-66604YY
18새빛안과의원의원부산광역시 수영구 수영로 710-1, 4층(광안동)051-758-88332NN
19참좋은신경외과의원의원부산광역시 수영구 과정로69 (망미동)051-757-00752NN
20유맥외과의원의원부산광역시 수영구 수영로 654, 5층(광안동)051-751-82753NN