Overview

Dataset statistics

Number of variables6
Number of observations143
Missing cells4
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory48.9 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description전라남도 나주시 관내 종합병원, 병원, 요양병원, 정신병원, 의원, 한방병원, 한의원, 치과의원 등 의료기관(기관명, 소재지주소, 진료과목, 의료인력수 등)정보
Author전라남도 나주시
URLhttps://www.data.go.kr/data/3033361/fileData.do

Alerts

종별 is highly overall correlated with 데이터기준일자High correlation
데이터기준일자 is highly overall correlated with 종별High correlation
데이터기준일자 is highly imbalanced (94.0%)Imbalance

Reproduction

Analysis started2023-12-12 13:22:53.010453
Analysis finished2023-12-12 13:22:53.631951
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종별
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
의원
66 
치과의원
35 
한의원
25 
요양병원
7 
정신병원
 
4
Other values (4)
 
6

Length

Max length4
Median length3
Mean length2.8881119
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
의원 66
46.2%
치과의원 35
24.5%
한의원 25
 
17.5%
요양병원 7
 
4.9%
정신병원 4
 
2.8%
종합병원 2
 
1.4%
한방병원 2
 
1.4%
병원 1
 
0.7%
<NA> 1
 
0.7%

Length

2023-12-12T22:22:53.733903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:22:53.869382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 66
46.2%
치과의원 35
24.5%
한의원 25
 
17.5%
요양병원 7
 
4.9%
정신병원 4
 
2.8%
종합병원 2
 
1.4%
한방병원 2
 
1.4%
병원 1
 
0.7%
na 1
 
0.7%

의료기관명
Text

Distinct141
Distinct (%)99.3%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2023-12-12T22:22:54.195136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.1197183
Min length4

Characters and Unicode

Total characters1011
Distinct characters173
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)98.6%

Sample

1st row빛가람종합병원
2nd row나주종합병원
3rd row엔에이치미래아동병원
4th row나주광주요양병원
5th row한결우리요양병원
ValueCountFrequency (%)
한의원 3
 
2.0%
아이안과의원 2
 
1.3%
의원 2
 
1.3%
서울치과의원 1
 
0.7%
플란트치과의원 1
 
0.7%
소생한의원 1
 
0.7%
조은치과의원 1
 
0.7%
서울s치과의원 1
 
0.7%
백세치과의원 1
 
0.7%
이튼튼치과의원 1
 
0.7%
Other values (139) 139
90.8%
2023-12-12T22:22:54.667453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 145
 
14.3%
의 137
 
13.6%
과 78
 
7.7%
치 37
 
3.7%
한 34
 
3.4%
나 27
 
2.7%
주 25
 
2.5%
이 18
 
1.8%
병 16
 
1.6%
부 15
 
1.5%
Other values (163) 479
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 999
98.8%
Space Separator 11
 
1.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 145
 
14.5%
의 137
 
13.7%
과 78
 
7.8%
치 37
 
3.7%
한 34
 
3.4%
나 27
 
2.7%
주 25
 
2.5%
이 18
 
1.8%
병 16
 
1.6%
부 15
 
1.5%
Other values (161) 467
46.7%
Space Separator
ValueCountFrequency (%)
11
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 999
98.8%
Common 11
 
1.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 145
 
14.5%
의 137
 
13.7%
과 78
 
7.8%
치 37
 
3.7%
한 34
 
3.4%
나 27
 
2.7%
주 25
 
2.5%
이 18
 
1.8%
병 16
 
1.6%
부 15
 
1.5%
Other values (161) 467
46.7%
Common
ValueCountFrequency (%)
11
100.0%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 999
98.8%
ASCII 12
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 145
 
14.5%
의 137
 
13.7%
과 78
 
7.8%
치 37
 
3.7%
한 34
 
3.4%
나 27
 
2.7%
주 25
 
2.5%
이 18
 
1.8%
병 16
 
1.6%
부 15
 
1.5%
Other values (161) 467
46.7%
ASCII
ValueCountFrequency (%)
11
91.7%
S 1
 
8.3%

개설일자
Date

Distinct138
Distinct (%)97.2%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
Minimum1983-03-28 00:00:00
Maximum2021-09-09 00:00:00
2023-12-12T22:22:54.859365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:22:55.031064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지도로명주소
Text

Distinct129
Distinct (%)90.8%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2023-12-12T22:22:55.377838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.147887
Min length18

Characters and Unicode

Total characters3713
Distinct characters151
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

Unique118 ?
Unique (%)83.1%

Sample

1st row전라남도 나주시 정보화길 49-0 (빛가람동)
2nd row전라남도 나주시 영산로 5419 (성북동)
3rd row전라남도 나주시 중야2길 29-0 (빛가람동)
4th row전라남도 나주시 예향로 3782-0 (이창동)
5th row전라남도 나주시 왕곡면 영산포로 30-13
ValueCountFrequency (%)
전라남도 142
 
17.7%
나주시 142
 
17.7%
빛가람동 31
 
3.9%
나주로 30
 
3.7%
중앙동 21
 
2.6%
성북동 20
 
2.5%
남평읍 18
 
2.2%
이창동 16
 
2.0%
빛가람로 12
 
1.5%
2층 11
 
1.4%
Other values (208) 361
44.9%
2023-12-12T22:22:55.872594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
662
 
17.8%
남 181
 
4.9%
나 175
 
4.7%
주 175
 
4.7%
시 151
 
4.1%
전 149
 
4.0%
도 144
 
3.9%
라 142
 
3.8%
1 122
 
3.3%
동 112
 
3.0%
Other values (141) 1700
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2143
57.7%
Space Separator 662
 
17.8%
Decimal Number 595
 
16.0%
Open Punctuation 103
 
2.8%
Close Punctuation 103
 
2.8%
Other Punctuation 73
 
2.0%
Dash Punctuation 32
 
0.9%
Uppercase Letter 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 181
 
8.4%
나 175
 
8.2%
주 175
 
8.2%
시 151
 
7.0%
전 149
 
7.0%
도 144
 
6.7%
라 142
 
6.6%
동 112
 
5.2%
로 110
 
5.1%
빛 47
 
2.2%
Other values (124) 757
35.3%
Decimal Number
ValueCountFrequency (%)
1 122
20.5%
2 87
14.6%
0 78
13.1%
3 67
11.3%
4 52
8.7%
5 46
 
7.7%
6 45
 
7.6%
9 39
 
6.6%
7 33
 
5.5%
8 26
 
4.4%
Space Separator
ValueCountFrequency (%)
662
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2143
57.7%
Common 1568
42.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 181
 
8.4%
나 175
 
8.2%
주 175
 
8.2%
시 151
 
7.0%
전 149
 
7.0%
도 144
 
6.7%
라 142
 
6.6%
동 112
 
5.2%
로 110
 
5.1%
빛 47
 
2.2%
Other values (124) 757
35.3%
Common
ValueCountFrequency (%)
662
42.2%
1 122
 
7.8%
( 103
 
6.6%
) 103
 
6.6%
2 87
 
5.5%
0 78
 
5.0%
, 73
 
4.7%
3 67
 
4.3%
4 52
 
3.3%
5 46
 
2.9%
Other values (5) 175
 
11.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
s 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2143
57.7%
ASCII 1570
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
662
42.2%
1 122
 
7.8%
( 103
 
6.6%
) 103
 
6.6%
2 87
 
5.5%
0 78
 
5.0%
, 73
 
4.6%
3 67
 
4.3%
4 52
 
3.3%
5 46
 
2.9%
Other values (7) 177
 
11.3%
Hangul
ValueCountFrequency (%)
남 181
 
8.4%
나 175
 
8.2%
주 175
 
8.2%
시 151
 
7.0%
전 149
 
7.0%
도 144
 
6.7%
라 142
 
6.6%
동 112
 
5.2%
로 110
 
5.1%
빛 47
 
2.2%
Other values (124) 757
35.3%

전화번호
Text

Distinct141
Distinct (%)99.3%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2023-12-12T22:22:56.173388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1704
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

Unique140 ?
Unique (%)98.6%

Sample

1st row061-820-0820
2nd row061-330-6114
3rd row061-338-7700
4th row061-338-7500
5th row061-930-0003
ValueCountFrequency (%)
061-330-1700 2
 
1.4%
061-333-2804 1
 
0.7%
061-337-2755 1
 
0.7%
061-333-7528 1
 
0.7%
061-335-8228 1
 
0.7%
061-333-2877 1
 
0.7%
061-333-2275 1
 
0.7%
061-331-2879 1
 
0.7%
061-337-2875 1
 
0.7%
061-334-2272 1
 
0.7%
Other values (131) 131
92.3%
2023-12-12T22:22:56.571762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 346
20.3%
- 284
16.7%
0 258
15.1%
1 210
12.3%
6 171
10.0%
7 103
 
6.0%
2 84
 
4.9%
5 80
 
4.7%
8 78
 
4.6%
9 49
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1420
83.3%
Dash Punctuation 284
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 346
24.4%
0 258
18.2%
1 210
14.8%
6 171
12.0%
7 103
 
7.3%
2 84
 
5.9%
5 80
 
5.6%
8 78
 
5.5%
9 49
 
3.5%
4 41
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1704
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 346
20.3%
- 284
16.7%
0 258
15.1%
1 210
12.3%
6 171
10.0%
7 103
 
6.0%
2 84
 
4.9%
5 80
 
4.7%
8 78
 
4.6%
9 49
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 346
20.3%
- 284
16.7%
0 258
15.1%
1 210
12.3%
6 171
10.0%
7 103
 
6.0%
2 84
 
4.9%
5 80
 
4.7%
8 78
 
4.6%
9 49
 
2.9%

데이터기준일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2021-11-01
142 
<NA>
 
1

Length

Max length10
Median length10
Mean length9.958042
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row2021-11-01
2nd row2021-11-01
3rd row2021-11-01
4th row2021-11-01
5th row2021-11-01

Common Values

ValueCountFrequency (%)
2021-11-01 142
99.3%
<NA> 1
 
0.7%

Length

2023-12-12T22:22:56.735616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:22:56.859650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-01 142
99.3%
na 1
 
0.7%

Correlations

2023-12-12T22:22:56.931612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별
종별1.000
2023-12-12T22:22:57.024624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별데이터기준일자
종별1.0001.000
데이터기준일자1.0001.000
2023-12-12T22:22:57.109334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별데이터기준일자
종별1.0001.000
데이터기준일자1.0001.000

Missing values

2023-12-12T22:22:53.300338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:22:53.418552image/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.
2023-12-12T22:22:53.550958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

종별의료기관명개설일자소재지도로명주소전화번호데이터기준일자
0종합병원빛가람종합병원2020-04-03전라남도 나주시 정보화길 49-0 (빛가람동)061-820-08202021-11-01
1종합병원나주종합병원1987-06-24전라남도 나주시 영산로 5419 (성북동)061-330-61142021-11-01
2병원엔에이치미래아동병원2019-02-13전라남도 나주시 중야2길 29-0 (빛가람동)061-338-77002021-11-01
3요양병원나주광주요양병원2018-10-11전라남도 나주시 예향로 3782-0 (이창동)061-338-75002021-11-01
4요양병원한결우리요양병원2017-08-16전라남도 나주시 왕곡면 영산포로 30-13061-930-00032021-11-01
5요양병원의료법인 식산의료재단 나사렛요양병원2014-01-27전라남도 나주시 남평읍 세남로 1550061-339-99002021-11-01
6요양병원즐거운요양병원2011-12-26전라남도 나주시 노안면 노안삼도로 507-14061-332-35002021-11-01
7요양병원노블요양병원2006-09-18전라남도 나주시 남평읍 세남로 1566-3061-339-90002021-11-01
8요양병원의료법인세화의료재단나주효사랑요양병원2004-07-30전라남도 나주시 금천면 영산로 5891-9 (외 3필지)061-330-17002021-11-01
9요양병원나주중앙요양병원2001-04-02전라남도 나주시 영산로 5406 (성북동)061-330-91012021-11-01
종별의료기관명개설일자소재지도로명주소전화번호데이터기준일자
133한의원영산포연합한의원2003-06-26전라남도 나주시 이창1길 13-3 (이창동)061-334-33752021-11-01
134한의원제일한의원2003-04-30전라남도 나주시 동점문길 2-1 (중앙동)061-332-03002021-11-01
135한의원동인당한의원2002-12-18전라남도 나주시 다시면 다시로 191061-335-99822021-11-01
136한의원박한의원1997-01-16전라남도 나주시 남평읍 남평1로 46061-337-00952021-11-01
137한의원나주한의원1996-02-27전라남도 나주시 나주로 186(중앙동)061-334-08882021-11-01
138한의원홍익한의원1995-07-27전라남도 나주시 남평읍 남평1로 59061-331-03392021-11-01
139한의원부부한의원1992-04-09전라남도 나주시 중앙로 41, 김수환스튜디오 1층 (중앙동)061-334-76972021-11-01
140한의원영산한의원1989-01-20전라남도 나주시 이창1길 10 (이창동)061-333-00342021-11-01
141한의원원광한의원1983-09-11전라남도 나주시 나주로 137-2 (금성동)061-334-84832021-11-01
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