Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory990.0 B
Average record size in memory38.1 B

Variable types

Numeric1
Text1
Boolean2

Dataset

Description북구 관내 의료기관 중 특수의료장비공동활용에 대한 동의현황입니다. CT 동의여부와 MRI 동의여부에 Y는 동의, N는 미동의 입니다.
URLhttps://www.data.go.kr/data/15101429/fileData.do

Alerts

연번 is highly overall correlated with CT 동의여부High correlation
CT 동의여부 is highly overall correlated with 연번High correlation
CT 동의여부 is highly imbalanced (60.9%)Imbalance
연번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:42:30.061325
Analysis finished2023-12-12 05:42:30.497509
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T14:42:30.556362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T14:42:30.709580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

의료기관명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:42:30.938017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length10.615385
Min length5

Characters and Unicode

Total characters276
Distinct characters85
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row의료법인 인당의료재단 구포부민병원
2nd row화명일신기독병원(재단법인 한.호기독교선교회)
3rd row(재)한.호 기독교선교회 맥켄지화명일신기독병원
4th row재단법인 베스티안재단 베스티안부산병원
5th row체담한방병원
ValueCountFrequency (%)
의료법인 2
 
5.7%
포도원항외과의원 1
 
2.9%
수정안과의원 1
 
2.9%
김호일정형외과의원 1
 
2.9%
만덕사랑의원 1
 
2.9%
화명튼튼정형외과의원 1
 
2.9%
오엔케이신경외과의원 1
 
2.9%
덕천삼성정형외과의원 1
 
2.9%
열린이비인후과의원 1
 
2.9%
인당의료재단 1
 
2.9%
Other values (24) 24
68.6%
2023-12-12T14:42:31.354052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
10.5%
21
 
7.6%
17
 
6.2%
10
 
3.6%
9
 
3.3%
9
 
3.3%
8
 
2.9%
6
 
2.2%
6
 
2.2%
5
 
1.8%
Other values (75) 156
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
94.6%
Space Separator 9
 
3.3%
Open Punctuation 2
 
0.7%
Other Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
11.1%
21
 
8.0%
17
 
6.5%
10
 
3.8%
9
 
3.4%
8
 
3.1%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
Other values (71) 145
55.6%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
94.6%
Common 15
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
11.1%
21
 
8.0%
17
 
6.5%
10
 
3.8%
9
 
3.4%
8
 
3.1%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
Other values (71) 145
55.6%
Common
ValueCountFrequency (%)
9
60.0%
( 2
 
13.3%
. 2
 
13.3%
) 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
94.6%
ASCII 15
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
 
11.1%
21
 
8.0%
17
 
6.5%
10
 
3.8%
9
 
3.4%
8
 
3.1%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
Other values (71) 145
55.6%
ASCII
ValueCountFrequency (%)
9
60.0%
( 2
 
13.3%
. 2
 
13.3%
) 2
 
13.3%

CT 동의여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size158.0 B
True
24 
False
 
2
ValueCountFrequency (%)
True 24
92.3%
False 2
 
7.7%
2023-12-12T14:42:31.478880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size158.0 B
True
16 
False
10 
ValueCountFrequency (%)
True 16
61.5%
False 10
38.5%
2023-12-12T14:42:31.561152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T14:42:30.236997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:42:31.624514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명CT 동의여부MRI 동의여부
연번1.0001.0000.8360.000
의료기관명1.0001.0001.0001.000
CT 동의여부0.8361.0001.0000.148
MRI 동의여부0.0001.0000.1481.000
2023-12-12T14:42:31.718943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
MRI 동의여부CT 동의여부
MRI 동의여부1.0000.085
CT 동의여부0.0851.000
2023-12-12T14:42:31.821076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번CT 동의여부MRI 동의여부
연번1.0000.5390.000
CT 동의여부0.5391.0000.085
MRI 동의여부0.0000.0851.000

Missing values

2023-12-12T14:42:30.365068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:42:30.459062image/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

연번의료기관명CT 동의여부MRI 동의여부
01의료법인 인당의료재단 구포부민병원YN
12화명일신기독병원(재단법인 한.호기독교선교회)YY
23(재)한.호 기독교선교회 맥켄지화명일신기독병원YY
34재단법인 베스티안재단 베스티안부산병원YY
45체담한방병원YN
56미래로병원YY
67의료법인 인해의료재단 시원항병원YY
78화명장시원병원YY
89한사랑내과병원YY
910더미즈웰산부인과의원YY
연번의료기관명CT 동의여부MRI 동의여부
1617덕천삼성정형외과의원YN
1718포도원항외과의원YY
1819열린이비인후과의원YN
1920덕천성모안과의원YY
2021장윤석이비인후과의원YY
2122덕천김안과의원YY
2223덕천요편한비뇨기과의원YN
2324참사랑이비인후과의원YN
2425전종완성형외과의원NN
2526길맥외과의원NN