Overview

Dataset statistics

Number of variables7
Number of observations27
Missing cells9
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory61.9 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description"의료기관현황" 공공데이터는 구례 지역 내에 위치한 의료기관들에 관한 정보를 제공합니다.이 데이터는 병원, 의원, 약국 등 다양한 의료기관들의 현황과 관련된 정보를 포함합니다.또한, 이 데이터는 의료 서비스 제공자와 정부 당국이 의료 서비스를 제공하고 관리하는 데 도움이 됩니다.
Author전라남도 구례군
URLhttps://www.data.go.kr/data/15069126/fileData.do

Alerts

데이터 기준 has constant value ""Constant
순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
의료기관팩스번호 has 9 (33.3%) missing valuesMissing
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-30 08:41:00.258854
Analysis finished2024-03-30 08:41:02.825363
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-03-30T08:41:03.049413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2024-03-30T08:41:03.574912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
의원
11 
한의원
8 
치과의원
5 
요양병원
2 
병원
 
1

Length

Max length4
Median length3
Mean length2.8148148
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
의원 11
40.7%
한의원 8
29.6%
치과의원 5
18.5%
요양병원 2
 
7.4%
병원 1
 
3.7%

Length

2024-03-30T08:41:04.061090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T08:41:04.420964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 11
40.7%
한의원 8
29.6%
치과의원 5
18.5%
요양병원 2
 
7.4%
병원 1
 
3.7%

의료기관명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:41:04.942121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length6.4814815
Min length4

Characters and Unicode

Total characters175
Distinct characters70
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

Unique27 ?
Unique (%)100.0%

Sample

1st row구례병원
2nd row단반트리지리산요양병원
3rd row새미소요양병원
4th row해피뷰정신건강의학과의원
5th row구례서울의원
ValueCountFrequency (%)
구례병원 1
 
3.7%
임규한의원 1
 
3.7%
소치과의원 1
 
3.7%
중앙치과의원 1
 
3.7%
이병인치과의원 1
 
3.7%
현대치과의원 1
 
3.7%
약손한의원 1
 
3.7%
생명수한의원 1
 
3.7%
삼성당최한의원 1
 
3.7%
아이쿱구례한의원 1
 
3.7%
Other values (17) 17
63.0%
2024-03-30T08:41:06.612393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 29
 
16.6%
의 28
 
16.0%
과 12
 
6.9%
한 9
 
5.1%
치 5
 
2.9%
병 4
 
2.3%
학 4
 
2.3%
정 3
 
1.7%
례 3
 
1.7%
이 3
 
1.7%
Other values (60) 75
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 29
 
16.6%
의 28
 
16.0%
과 12
 
6.9%
한 9
 
5.1%
치 5
 
2.9%
병 4
 
2.3%
학 4
 
2.3%
정 3
 
1.7%
례 3
 
1.7%
이 3
 
1.7%
Other values (60) 75
42.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 29
 
16.6%
의 28
 
16.0%
과 12
 
6.9%
한 9
 
5.1%
치 5
 
2.9%
병 4
 
2.3%
학 4
 
2.3%
정 3
 
1.7%
례 3
 
1.7%
이 3
 
1.7%
Other values (60) 75
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 29
 
16.6%
의 28
 
16.0%
과 12
 
6.9%
한 9
 
5.1%
치 5
 
2.9%
병 4
 
2.3%
학 4
 
2.3%
정 3
 
1.7%
례 3
 
1.7%
이 3
 
1.7%
Other values (60) 75
42.9%

의료기관주소
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:41:07.543148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length22.555556
Min length18

Characters and Unicode

Total characters609
Distinct characters58
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

Unique22 ?
Unique (%)81.5%

Sample

1st row전라남도 구례군 구례읍 동편제길 4
2nd row전라남도 구례군 구례읍 봉동길 31
3rd row전라남도 구례군 구례읍 구례로 28
4th row전라남도 구례군 구례읍 봉동리 370-1 정다운빌딩 301호
5th row전라남도 구례군 구례읍 봉동리 205번지 3호 명품관
ValueCountFrequency (%)
전라남도 27
21.1%
구례군 27
21.1%
구례읍 16
12.5%
봉동리 11
 
8.6%
376번지 3
 
2.3%
1호 3
 
2.3%
345번지 2
 
1.6%
4 2
 
1.6%
구례읍봉동리391-6 1
 
0.8%
구례읍봉동리405-1 1
 
0.8%
Other values (35) 35
27.3%
2024-03-30T08:41:09.536210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
16.6%
구 52
 
8.5%
례 52
 
8.5%
남 28
 
4.6%
라 28
 
4.6%
전 27
 
4.4%
도 27
 
4.4%
군 27
 
4.4%
3 25
 
4.1%
읍 24
 
3.9%
Other values (48) 218
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
66.0%
Space Separator 101
 
16.6%
Decimal Number 96
 
15.8%
Dash Punctuation 10
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 52
12.9%
례 52
12.9%
남 28
 
7.0%
라 28
 
7.0%
전 27
 
6.7%
도 27
 
6.7%
군 27
 
6.7%
읍 24
 
6.0%
리 23
 
5.7%
봉 21
 
5.2%
Other values (36) 93
23.1%
Decimal Number
ValueCountFrequency (%)
3 25
26.0%
1 18
18.8%
2 10
 
10.4%
0 8
 
8.3%
4 8
 
8.3%
7 7
 
7.3%
5 6
 
6.2%
9 6
 
6.2%
6 5
 
5.2%
8 3
 
3.1%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
66.0%
Common 207
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 52
12.9%
례 52
12.9%
남 28
 
7.0%
라 28
 
7.0%
전 27
 
6.7%
도 27
 
6.7%
군 27
 
6.7%
읍 24
 
6.0%
리 23
 
5.7%
봉 21
 
5.2%
Other values (36) 93
23.1%
Common
ValueCountFrequency (%)
101
48.8%
3 25
 
12.1%
1 18
 
8.7%
2 10
 
4.8%
- 10
 
4.8%
0 8
 
3.9%
4 8
 
3.9%
7 7
 
3.4%
5 6
 
2.9%
9 6
 
2.9%
Other values (2) 8
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
66.0%
ASCII 207
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
48.8%
3 25
 
12.1%
1 18
 
8.7%
2 10
 
4.8%
- 10
 
4.8%
0 8
 
3.9%
4 8
 
3.9%
7 7
 
3.4%
5 6
 
2.9%
9 6
 
2.9%
Other values (2) 8
 
3.9%
Hangul
ValueCountFrequency (%)
구 52
12.9%
례 52
12.9%
남 28
 
7.0%
라 28
 
7.0%
전 27
 
6.7%
도 27
 
6.7%
군 27
 
6.7%
읍 24
 
6.0%
리 23
 
5.7%
봉 21
 
5.2%
Other values (36) 93
23.1%

의료기관전화번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:41:10.328991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row061-780-3300
2nd row061-780-7500
3rd row061-780-1200
4th row061-782-7200
5th row061-783-7575
ValueCountFrequency (%)
061-780-3300 1
 
3.7%
061-783-7588 1
 
3.7%
061-782-8418 1
 
3.7%
061-783-2875 1
 
3.7%
061-782-8300 1
 
3.7%
061-781-2828 1
 
3.7%
061-783-7522 1
 
3.7%
061-781-5959 1
 
3.7%
061-782-2135 1
 
3.7%
061-896-6052 1
 
3.7%
Other values (17) 17
63.0%
2024-03-30T08:41:11.328560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.7%
0 48
14.8%
1 42
13.0%
7 38
11.7%
8 38
11.7%
2 32
9.9%
6 31
9.6%
3 19
 
5.9%
5 16
 
4.9%
9 4
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
17.8%
1 42
15.6%
7 38
14.1%
8 38
14.1%
2 32
11.9%
6 31
11.5%
3 19
 
7.0%
5 16
 
5.9%
9 4
 
1.5%
4 2
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.7%
0 48
14.8%
1 42
13.0%
7 38
11.7%
8 38
11.7%
2 32
9.9%
6 31
9.6%
3 19
 
5.9%
5 16
 
4.9%
9 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.7%
0 48
14.8%
1 42
13.0%
7 38
11.7%
8 38
11.7%
2 32
9.9%
6 31
9.6%
3 19
 
5.9%
5 16
 
4.9%
9 4
 
1.2%

의료기관팩스번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing9
Missing (%)33.3%
Memory size348.0 B
2024-03-30T08:41:12.031256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.055556
Min length12

Characters and Unicode

Total characters217
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

Unique18 ?
Unique (%)100.0%

Sample

1st row061-783-0724
2nd row061-783-1201
3rd row061-783-7300
4th row061-781-0086
5th row061-782-7010
ValueCountFrequency (%)
061-782-3199 1
 
5.6%
061-783-1201 1
 
5.6%
061-783-8004 1
 
5.6%
061-783-2275 1
 
5.6%
061-782-8303 1
 
5.6%
061-781-2874 1
 
5.6%
070-8611-6152 1
 
5.6%
061-783-7511 1
 
5.6%
061-781-8275 1
 
5.6%
061-783-0724 1
 
5.6%
Other values (8) 8
44.4%
2024-03-30T08:41:13.032531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 36
16.6%
0 31
14.3%
1 30
13.8%
7 27
12.4%
8 25
11.5%
6 21
9.7%
2 17
7.8%
3 15
6.9%
4 7
 
3.2%
5 6
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 181
83.4%
Dash Punctuation 36
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
17.1%
1 30
16.6%
7 27
14.9%
8 25
13.8%
6 21
11.6%
2 17
9.4%
3 15
8.3%
4 7
 
3.9%
5 6
 
3.3%
9 2
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 36
16.6%
0 31
14.3%
1 30
13.8%
7 27
12.4%
8 25
11.5%
6 21
9.7%
2 17
7.8%
3 15
6.9%
4 7
 
3.2%
5 6
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 36
16.6%
0 31
14.3%
1 30
13.8%
7 27
12.4%
8 25
11.5%
6 21
9.7%
2 17
7.8%
3 15
6.9%
4 7
 
3.2%
5 6
 
2.8%

데이터 기준
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-02-28
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-28
2nd row2024-02-28
3rd row2024-02-28
4th row2024-02-28
5th row2024-02-28

Common Values

ValueCountFrequency (%)
2024-02-28 27
100.0%

Length

2024-03-30T08:41:13.570852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T08:41:13.979543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-28 27
100.0%

Interactions

2024-03-30T08:41:01.203353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T08:41:14.169708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분의료기관명의료기관주소의료기관전화번호의료기관팩스번호
순번1.0000.9521.0000.7881.0001.000
구분0.9521.0001.0000.7951.0001.000
의료기관명1.0001.0001.0001.0001.0001.000
의료기관주소0.7880.7951.0001.0001.0001.000
의료기관전화번호1.0001.0001.0001.0001.0001.000
의료기관팩스번호1.0001.0001.0001.0001.0001.000
2024-03-30T08:41:14.550625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.643
구분0.6431.000

Missing values

2024-03-30T08:41:01.820682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T08:41:02.579167image/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

순번구분의료기관명의료기관주소의료기관전화번호의료기관팩스번호데이터 기준
01병원구례병원전라남도 구례군 구례읍 동편제길 4061-780-3300061-783-07242024-02-28
12요양병원단반트리지리산요양병원전라남도 구례군 구례읍 봉동길 31061-780-7500<NA>2024-02-28
23요양병원새미소요양병원전라남도 구례군 구례읍 구례로 28061-780-1200061-783-12012024-02-28
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