Overview

Dataset statistics

Number of variables14
Number of observations1026
Missing cells114
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory116.4 KiB
Average record size in memory116.1 B

Variable types

Text5
DateTime2
Categorical3
Numeric4

Dataset

Description전북특별자치도 전주시 내 의원을 제공하며, 사업장명, 인허가일자, 영업상태, 전화번호, 주소 등을 제공합니다.의원, 보건소, 한의원 등 진료시설을 갖추고 환자를 대상으로 의사가 의료행위를 하는 의료기관항목 : 사업장명, 인허가일자, 상세영업상태, 전화번호, 도로명주소, 지번주소 등담당부서 : 보건행정과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15102193/fileData.do

Alerts

상세영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
의료기관종별명 is highly overall correlated with 업태구분명High correlation
업태구분명 is highly overall correlated with 의료기관종별명High correlation
입원실수 is highly overall correlated with 병상수High correlation
병상수 is highly overall correlated with 입원실수High correlation
소재지전화 has 110 (10.7%) missing valuesMissing
사업장명 has unique valuesUnique
입원실수 has 938 (91.4%) zerosZeros
병상수 has 938 (91.4%) zerosZeros
총면적 has 61 (5.9%) zerosZeros

Reproduction

Analysis started2024-03-14 11:31:13.644474
Analysis finished2024-03-14 11:31:19.125210
Duration5.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct1026
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-03-14T20:31:19.770932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.6345029
Min length3

Characters and Unicode

Total characters7833
Distinct characters389
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1026 ?
Unique (%)100.0%

Sample

1st row(사)대한산업보건협회전북산업보건센타 전북의원
2nd row(사)인구보건복지협회전북지회가족보건의원
3rd row(사)인구보건복지협회전북지회가족치과의원
4th row(사)한국건강관리협회 건강치과의원
5th row(사)한국건강관리협회건강증진의원
ValueCountFrequency (%)
치과의원 6
 
0.6%
사)대한산업보건협회전북산업보건센타 1
 
0.1%
이홍내과의원 1
 
0.1%
임기영성형외과의원 1
 
0.1%
임계숙이비인후과소아청소년과의원 1
 
0.1%
일신당한의원 1
 
0.1%
인화부부한의원 1
 
0.1%
이화에스여성산부인과의원 1
 
0.1%
이홍철소아청소년과의원 1
 
0.1%
이호치과의원 1
 
0.1%
Other values (1035) 1035
98.6%
2024-03-14T20:31:21.023201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 1128
 
14.4%
원 1037
 
13.2%
과 761
 
9.7%
치 296
 
3.8%
한 275
 
3.5%
정 143
 
1.8%
이 131
 
1.7%
학 109
 
1.4%
내 108
 
1.4%
소 105
 
1.3%
Other values (379) 3740
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7772
99.2%
Space Separator 24
 
0.3%
Uppercase Letter 12
 
0.2%
Decimal Number 8
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1128
 
14.5%
원 1037
 
13.3%
과 761
 
9.8%
치 296
 
3.8%
한 275
 
3.5%
정 143
 
1.8%
이 131
 
1.7%
학 109
 
1.4%
내 108
 
1.4%
소 105
 
1.4%
Other values (361) 3679
47.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
16.7%
P 2
16.7%
S 2
16.7%
K 1
8.3%
W 1
8.3%
E 1
8.3%
N 1
8.3%
O 1
8.3%
H 1
8.3%
Decimal Number
ValueCountFrequency (%)
3 2
25.0%
6 2
25.0%
5 2
25.0%
2 1
12.5%
1 1
12.5%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7772
99.2%
Common 46
 
0.6%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1128
 
14.5%
원 1037
 
13.3%
과 761
 
9.8%
치 296
 
3.8%
한 275
 
3.5%
정 143
 
1.8%
이 131
 
1.7%
학 109
 
1.4%
내 108
 
1.4%
소 105
 
1.4%
Other values (361) 3679
47.3%
Latin
ValueCountFrequency (%)
e 3
20.0%
I 2
13.3%
P 2
13.3%
S 2
13.3%
K 1
 
6.7%
W 1
 
6.7%
E 1
 
6.7%
N 1
 
6.7%
O 1
 
6.7%
H 1
 
6.7%
Common
ValueCountFrequency (%)
24
52.2%
( 7
 
15.2%
) 7
 
15.2%
3 2
 
4.3%
6 2
 
4.3%
5 2
 
4.3%
2 1
 
2.2%
1 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7772
99.2%
ASCII 61
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 1128
 
14.5%
원 1037
 
13.3%
과 761
 
9.8%
치 296
 
3.8%
한 275
 
3.5%
정 143
 
1.8%
이 131
 
1.7%
학 109
 
1.4%
내 108
 
1.4%
소 105
 
1.4%
Other values (361) 3679
47.3%
ASCII
ValueCountFrequency (%)
24
39.3%
( 7
 
11.5%
) 7
 
11.5%
e 3
 
4.9%
3 2
 
3.3%
I 2
 
3.3%
6 2
 
3.3%
5 2
 
3.3%
P 2
 
3.3%
S 2
 
3.3%
Other values (8) 8
 
13.1%

인허가일자
Date

Distinct937
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum1973-08-14 00:00:00
Maximum2023-07-06 00:00:00
2024-03-14T20:31:21.414909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:21.845276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
영업중
1026 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row영업중

Common Values

ValueCountFrequency (%)
영업중 1026
100.0%

Length

2024-03-14T20:31:22.261063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:31:22.550575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1026
100.0%

소재지전화
Text

MISSING 

Distinct912
Distinct (%)99.6%
Missing110
Missing (%)10.7%
Memory size8.1 KiB
2024-03-14T20:31:23.473683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters10992
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique908 ?
Unique (%)99.1%

Sample

1st row063-225-1242
2nd row063-240-2345
3rd row063-240-2331
4th row063-259-8900
5th row063-273-1075
ValueCountFrequency (%)
063-225-8575 2
 
0.2%
063-227-2588 2
 
0.2%
063-236-7975 2
 
0.2%
063-232-2828 2
 
0.2%
063-246-2875 1
 
0.1%
063-222-2872 1
 
0.1%
063-246-3600 1
 
0.1%
063-221-7375 1
 
0.1%
063-223-4416 1
 
0.1%
063-244-0072 1
 
0.1%
Other values (902) 902
98.5%
2024-03-14T20:31:24.883539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1832
16.7%
2 1749
15.9%
0 1500
13.6%
3 1352
12.3%
6 1206
11.0%
7 867
7.9%
5 784
7.1%
8 594
 
5.4%
1 464
 
4.2%
4 402
 
3.7%
Other values (2) 242
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9159
83.3%
Dash Punctuation 1832
 
16.7%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1749
19.1%
0 1500
16.4%
3 1352
14.8%
6 1206
13.2%
7 867
9.5%
5 784
8.6%
8 594
 
6.5%
1 464
 
5.1%
4 402
 
4.4%
9 241
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 1832
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10992
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1832
16.7%
2 1749
15.9%
0 1500
13.6%
3 1352
12.3%
6 1206
11.0%
7 867
7.9%
5 784
7.1%
8 594
 
5.4%
1 464
 
4.2%
4 402
 
3.7%
Other values (2) 242
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1832
16.7%
2 1749
15.9%
0 1500
13.6%
3 1352
12.3%
6 1206
11.0%
7 867
7.9%
5 784
7.1%
8 594
 
5.4%
1 464
 
4.2%
4 402
 
3.7%
Other values (2) 242
 
2.2%

도로명주소
Text

Distinct959
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-03-14T20:31:26.221430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length55
Mean length35.170565
Min length27

Characters and Unicode

Total characters36085
Distinct characters316
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique902 ?
Unique (%)87.9%

Sample

1st row전북특별자치도 전주시 덕진구 기린대로 1030 (여의동)
2nd row전북특별자치도 전주시 덕진구 백제대로 720 (인후동2가)
3rd row전북특별자치도 전주시 덕진구 백제대로 720 (인후동2가)
4th row전북특별자치도 전주시 덕진구 사평로 40, 5층 (덕진동1가, 건강검진센터)
5th row전북특별자치도 전주시 덕진구 사평로 40 (덕진동1가)
ValueCountFrequency (%)
전주시 1027
 
14.7%
전북특별자치도 1026
 
14.7%
완산구 585
 
8.4%
덕진구 442
 
6.3%
2층 176
 
2.5%
3층 111
 
1.6%
효자동2가 97
 
1.4%
서신동 88
 
1.3%
효자동1가 85
 
1.2%
백제대로 81
 
1.2%
Other values (858) 3276
46.8%
2024-03-14T20:31:28.505058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5970
 
16.5%
전 2116
 
5.9%
자 1280
 
3.5%
2 1121
 
3.1%
동 1067
 
3.0%
북 1058
 
2.9%
구 1049
 
2.9%
시 1042
 
2.9%
주 1040
 
2.9%
도 1031
 
2.9%
Other values (306) 19311
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22471
62.3%
Space Separator 5970
 
16.5%
Decimal Number 4747
 
13.2%
Close Punctuation 1030
 
2.9%
Open Punctuation 1030
 
2.9%
Other Punctuation 708
 
2.0%
Dash Punctuation 75
 
0.2%
Uppercase Letter 29
 
0.1%
Math Symbol 21
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2116
 
9.4%
자 1280
 
5.7%
동 1067
 
4.7%
북 1058
 
4.7%
구 1049
 
4.7%
시 1042
 
4.6%
주 1040
 
4.6%
도 1031
 
4.6%
별 1027
 
4.6%
치 1027
 
4.6%
Other values (265) 10734
47.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
13.8%
K 3
 
10.3%
M 3
 
10.3%
O 2
 
6.9%
S 2
 
6.9%
J 2
 
6.9%
E 2
 
6.9%
R 1
 
3.4%
C 1
 
3.4%
T 1
 
3.4%
Other values (8) 8
27.6%
Decimal Number
ValueCountFrequency (%)
2 1121
23.6%
1 996
21.0%
3 566
11.9%
4 447
 
9.4%
0 426
 
9.0%
6 322
 
6.8%
5 308
 
6.5%
7 222
 
4.7%
8 198
 
4.2%
9 141
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 704
99.4%
& 2
 
0.3%
/ 1
 
0.1%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
y 1
25.0%
t 1
25.0%
i 1
25.0%
c 1
25.0%
Space Separator
ValueCountFrequency (%)
5970
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1030
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1030
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22471
62.3%
Common 13581
37.6%
Latin 33
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2116
 
9.4%
자 1280
 
5.7%
동 1067
 
4.7%
북 1058
 
4.7%
구 1049
 
4.7%
시 1042
 
4.6%
주 1040
 
4.6%
도 1031
 
4.6%
별 1027
 
4.6%
치 1027
 
4.6%
Other values (265) 10734
47.8%
Latin
ValueCountFrequency (%)
A 4
 
12.1%
K 3
 
9.1%
M 3
 
9.1%
O 2
 
6.1%
S 2
 
6.1%
J 2
 
6.1%
E 2
 
6.1%
R 1
 
3.0%
C 1
 
3.0%
T 1
 
3.0%
Other values (12) 12
36.4%
Common
ValueCountFrequency (%)
5970
44.0%
2 1121
 
8.3%
) 1030
 
7.6%
( 1030
 
7.6%
1 996
 
7.3%
, 704
 
5.2%
3 566
 
4.2%
4 447
 
3.3%
0 426
 
3.1%
6 322
 
2.4%
Other values (9) 969
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22471
62.3%
ASCII 13614
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5970
43.9%
2 1121
 
8.2%
) 1030
 
7.6%
( 1030
 
7.6%
1 996
 
7.3%
, 704
 
5.2%
3 566
 
4.2%
4 447
 
3.3%
0 426
 
3.1%
6 322
 
2.4%
Other values (31) 1002
 
7.4%
Hangul
ValueCountFrequency (%)
전 2116
 
9.4%
자 1280
 
5.7%
동 1067
 
4.7%
북 1058
 
4.7%
구 1049
 
4.7%
시 1042
 
4.6%
주 1040
 
4.6%
도 1031
 
4.6%
별 1027
 
4.6%
치 1027
 
4.6%
Other values (265) 10734
47.8%

지번주소
Text

Distinct794
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-03-14T20:31:30.446696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length27.421053
Min length19

Characters and Unicode

Total characters28134
Distinct characters73
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

Unique638 ?
Unique (%)62.2%

Sample

1st row전북특별자치도 전주시 덕진구 여의동 654-1
2nd row전북특별자치도 전주시 덕진구 인후동2가 1557
3rd row전북특별자치도 전주시 덕진구 인후동2가 1557-1
4th row전북특별자치도 전주시 덕진구 덕진동1가 1408
5th row전북특별자치도 전주시 덕진구 덕진동1가 1408- 1
ValueCountFrequency (%)
전북특별자치도 1026
18.0%
전주시 1026
18.0%
완산구 584
 
10.3%
덕진구 442
 
7.8%
효자동2가 97
 
1.7%
1 95
 
1.7%
서신동 88
 
1.5%
효자동1가 83
 
1.5%
인후동1가 74
 
1.3%
송천동2가 62
 
1.1%
Other values (713) 2117
37.2%
2024-03-14T20:31:32.317567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4678
 
16.6%
전 2068
 
7.4%
1 1291
 
4.6%
자 1252
 
4.5%
북 1050
 
3.7%
동 1032
 
3.7%
특 1026
 
3.6%
별 1026
 
3.6%
치 1026
 
3.6%
도 1026
 
3.6%
Other values (63) 12659
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17207
61.2%
Decimal Number 5272
 
18.7%
Space Separator 4678
 
16.6%
Dash Punctuation 976
 
3.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2068
 
12.0%
자 1252
 
7.3%
북 1050
 
6.1%
동 1032
 
6.0%
특 1026
 
6.0%
별 1026
 
6.0%
치 1026
 
6.0%
도 1026
 
6.0%
주 1026
 
6.0%
시 1026
 
6.0%
Other values (50) 5649
32.8%
Decimal Number
ValueCountFrequency (%)
1 1291
24.5%
2 850
16.1%
3 570
10.8%
5 453
 
8.6%
4 436
 
8.3%
6 413
 
7.8%
7 404
 
7.7%
8 343
 
6.5%
9 306
 
5.8%
0 206
 
3.9%
Space Separator
ValueCountFrequency (%)
4678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 976
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17207
61.2%
Common 10927
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2068
 
12.0%
자 1252
 
7.3%
북 1050
 
6.1%
동 1032
 
6.0%
특 1026
 
6.0%
별 1026
 
6.0%
치 1026
 
6.0%
도 1026
 
6.0%
주 1026
 
6.0%
시 1026
 
6.0%
Other values (50) 5649
32.8%
Common
ValueCountFrequency (%)
4678
42.8%
1 1291
 
11.8%
- 976
 
8.9%
2 850
 
7.8%
3 570
 
5.2%
5 453
 
4.1%
4 436
 
4.0%
6 413
 
3.8%
7 404
 
3.7%
8 343
 
3.1%
Other values (3) 513
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17207
61.2%
ASCII 10927
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4678
42.8%
1 1291
 
11.8%
- 976
 
8.9%
2 850
 
7.8%
3 570
 
5.2%
5 453
 
4.1%
4 436
 
4.0%
6 413
 
3.8%
7 404
 
3.7%
8 343
 
3.1%
Other values (3) 513
 
4.7%
Hangul
ValueCountFrequency (%)
전 2068
 
12.0%
자 1252
 
7.3%
북 1050
 
6.1%
동 1032
 
6.0%
특 1026
 
6.0%
별 1026
 
6.0%
치 1026
 
6.0%
도 1026
 
6.0%
주 1026
 
6.0%
시 1026
 
6.0%
Other values (50) 5649
32.8%

업태구분명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
의원
525 
치과의원
282 
한의원
212 
보건소
 
3
보건진료소
 
3

Length

Max length5
Median length2
Mean length2.7699805
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 525
51.2%
치과의원 282
27.5%
한의원 212
20.7%
보건소 3
 
0.3%
보건진료소 3
 
0.3%
보건지소 1
 
0.1%

Length

2024-03-14T20:31:32.755178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:31:33.100448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 525
51.2%
치과의원 282
27.5%
한의원 212
20.7%
보건소 3
 
0.3%
보건진료소 3
 
0.3%
보건지소 1
 
0.1%

의료기관종별명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
의원
525 
치과의원
282 
한의원
212 
보건소
 
3
보건진료소
 
3

Length

Max length5
Median length2
Mean length2.7699805
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 525
51.2%
치과의원 282
27.5%
한의원 212
20.7%
보건소 3
 
0.3%
보건진료소 3
 
0.3%
보건지소 1
 
0.1%

Length

2024-03-14T20:31:33.500933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:31:33.841811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 525
51.2%
치과의원 282
27.5%
한의원 212
20.7%
보건소 3
 
0.3%
보건진료소 3
 
0.3%
보건지소 1
 
0.1%

의료인수
Real number (ℝ)

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6403509
Minimum0
Maximum47
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-03-14T20:31:34.185465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum47
Range47
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5007881
Coefficient of variation (CV)1.5245446
Kurtosis157.05577
Mean1.6403509
Median Absolute Deviation (MAD)0
Skewness10.936517
Sum1683
Variance6.2539409
MonotonicityNot monotonic
2024-03-14T20:31:34.547842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 753
73.4%
2 165
 
16.1%
3 41
 
4.0%
4 31
 
3.0%
5 9
 
0.9%
0 5
 
0.5%
7 5
 
0.5%
13 3
 
0.3%
6 3
 
0.3%
14 2
 
0.2%
Other values (9) 9
 
0.9%
ValueCountFrequency (%)
0 5
 
0.5%
1 753
73.4%
2 165
 
16.1%
3 41
 
4.0%
4 31
 
3.0%
5 9
 
0.9%
6 3
 
0.3%
7 5
 
0.5%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
47 1
 
0.1%
34 1
 
0.1%
31 1
 
0.1%
20 1
 
0.1%
18 1
 
0.1%
14 2
0.2%
13 3
0.3%
11 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%

입원실수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5994152
Minimum0
Maximum26
Zeros938
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-03-14T20:31:34.896318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4890707
Coefficient of variation (CV)4.1524984
Kurtosis34.848281
Mean0.5994152
Median Absolute Deviation (MAD)0
Skewness5.3807198
Sum615
Variance6.1954728
MonotonicityNot monotonic
2024-03-14T20:31:35.274233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 938
91.4%
1 14
 
1.4%
2 9
 
0.9%
8 9
 
0.9%
9 7
 
0.7%
11 7
 
0.7%
5 7
 
0.7%
7 6
 
0.6%
6 6
 
0.6%
12 4
 
0.4%
Other values (10) 19
 
1.9%
ValueCountFrequency (%)
0 938
91.4%
1 14
 
1.4%
2 9
 
0.9%
3 4
 
0.4%
4 4
 
0.4%
5 7
 
0.7%
6 6
 
0.6%
7 6
 
0.6%
8 9
 
0.9%
9 7
 
0.7%
ValueCountFrequency (%)
26 1
 
0.1%
24 1
 
0.1%
23 1
 
0.1%
17 2
 
0.2%
15 1
 
0.1%
14 1
 
0.1%
13 2
 
0.2%
12 4
0.4%
11 7
0.7%
10 2
 
0.2%

병상수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3031189
Minimum0
Maximum29
Zeros938
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-03-14T20:31:35.627024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.75
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2843746
Coefficient of variation (CV)4.0551745
Kurtosis18.245839
Mean1.3031189
Median Absolute Deviation (MAD)0
Skewness4.3685692
Sum1337
Variance27.924615
MonotonicityNot monotonic
2024-03-14T20:31:36.016701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 938
91.4%
29 19
 
1.9%
1 7
 
0.7%
2 7
 
0.7%
4 7
 
0.7%
5 5
 
0.5%
16 5
 
0.5%
24 4
 
0.4%
10 3
 
0.3%
9 3
 
0.3%
Other values (17) 28
 
2.7%
ValueCountFrequency (%)
0 938
91.4%
1 7
 
0.7%
2 7
 
0.7%
3 2
 
0.2%
4 7
 
0.7%
5 5
 
0.5%
6 2
 
0.2%
7 1
 
0.1%
8 2
 
0.2%
9 3
 
0.3%
ValueCountFrequency (%)
29 19
1.9%
28 2
 
0.2%
27 2
 
0.2%
26 2
 
0.2%
25 1
 
0.1%
24 4
 
0.4%
23 3
 
0.3%
22 1
 
0.1%
21 1
 
0.1%
19 1
 
0.1%

총면적
Real number (ℝ)

ZEROS 

Distinct883
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276.80217
Minimum0
Maximum6944
Zeros61
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-03-14T20:31:36.408546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1135.3275
median191.55
Q3292.49
95-th percentile815.125
Maximum6944
Range6944
Interquartile range (IQR)157.1625

Descriptive statistics

Standard deviation390.87996
Coefficient of variation (CV)1.4121275
Kurtosis109.72818
Mean276.80217
Median Absolute Deviation (MAD)69.8
Skewness8.3773757
Sum283999.03
Variance152787.14
MonotonicityNot monotonic
2024-03-14T20:31:36.848136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 61
 
5.9%
136.0 8
 
0.8%
85.0 6
 
0.6%
119.0 5
 
0.5%
170.0 5
 
0.5%
320.7 3
 
0.3%
138.0 3
 
0.3%
180.0 3
 
0.3%
492.15 3
 
0.3%
34.0 3
 
0.3%
Other values (873) 926
90.3%
ValueCountFrequency (%)
0.0 61
5.9%
1.0 1
 
0.1%
14.31 1
 
0.1%
19.89 1
 
0.1%
29.25 1
 
0.1%
34.0 3
 
0.3%
46.94 1
 
0.1%
48.36 1
 
0.1%
49.03 1
 
0.1%
51.0 1
 
0.1%
ValueCountFrequency (%)
6944.0 1
0.1%
4907.79 1
0.1%
3150.17 1
0.1%
2957.0 1
0.1%
2806.47 1
0.1%
2434.46 1
0.1%
2125.92 1
0.1%
2056.17 1
0.1%
1943.0 1
0.1%
1787.49 1
0.1%

진료과목내용명
Text

Distinct282
Distinct (%)27.6%
Missing4
Missing (%)0.4%
Memory size8.1 KiB
2024-03-14T20:31:37.621985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length79
Mean length24.62818
Min length2

Characters and Unicode

Total characters25170
Distinct characters72
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)19.7%

Sample

1st row내과+외과+흉부외과+영상의학과+직업환경의학과
2nd row내과+산부인과+소아청소년과+영상의학과+진단검사의학과+가정의학과
3rd row치과+예방치과
4th row치과
5th row내과+외과+산부인과+영상의학과+진단검사의학과
ValueCountFrequency (%)
한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과 188
 
18.4%
예방치과 123
 
12.0%
내과 55
 
5.4%
치과 41
 
4.0%
안과 22
 
2.2%
피부과 21
 
2.1%
이비인후과 19
 
1.9%
산부인과 18
 
1.8%
내과+소아청소년과+이비인후과+피부과 18
 
1.8%
구강악안면외과+치과보철과+치과교정과+소아치과+치주과+치과보존과+구강내과+영상치의학과+구강병리과+예방치과+통합치의학과 14
 
1.4%
Other values (272) 503
49.2%
2024-03-14T20:31:38.856015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4694
18.6%
+ 3417
 
13.6%
방 1477
 
5.9%
한 1259
 
5.0%
치 804
 
3.2%
학 744
 
3.0%
의 744
 
3.0%
부 674
 
2.7%
소 627
 
2.5%
신 613
 
2.4%
Other values (62) 10117
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21335
84.8%
Math Symbol 3417
 
13.6%
Other Punctuation 418
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4694
22.0%
방 1477
 
6.9%
한 1259
 
5.9%
치 804
 
3.8%
학 744
 
3.5%
의 744
 
3.5%
부 674
 
3.2%
소 627
 
2.9%
신 613
 
2.9%
인 612
 
2.9%
Other values (60) 9087
42.6%
Math Symbol
ValueCountFrequency (%)
+ 3417
100.0%
Other Punctuation
ValueCountFrequency (%)
· 418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21335
84.8%
Common 3835
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4694
22.0%
방 1477
 
6.9%
한 1259
 
5.9%
치 804
 
3.8%
학 744
 
3.5%
의 744
 
3.5%
부 674
 
3.2%
소 627
 
2.9%
신 613
 
2.9%
인 612
 
2.9%
Other values (60) 9087
42.6%
Common
ValueCountFrequency (%)
+ 3417
89.1%
· 418
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21335
84.8%
ASCII 3417
 
13.6%
None 418
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4694
22.0%
방 1477
 
6.9%
한 1259
 
5.9%
치 804
 
3.8%
학 744
 
3.5%
의 744
 
3.5%
부 674
 
3.2%
소 627
 
2.9%
신 613
 
2.9%
인 612
 
2.9%
Other values (60) 9087
42.6%
ASCII
ValueCountFrequency (%)
+ 3417
100.0%
None
ValueCountFrequency (%)
· 418
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum2024-01-11 00:00:00
Maximum2024-01-11 00:00:00
2024-03-14T20:31:39.185308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:39.486480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T20:31:16.870779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:14.789455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:15.496145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:16.223039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:17.030909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:15.016943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:15.644544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:16.375314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:17.216669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:15.171425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:15.800362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:16.532970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:17.492890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:15.328918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:15.961866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:31:16.698803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:31:39.694186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태구분명의료기관종별명의료인수입원실수병상수총면적
업태구분명1.0001.0000.0000.0510.1060.413
의료기관종별명1.0001.0000.0000.0510.1060.413
의료인수0.0000.0001.0000.2270.4620.717
입원실수0.0510.0510.2271.0000.7650.689
병상수0.1060.1060.4620.7651.0000.639
총면적0.4130.4130.7170.6890.6391.000
2024-03-14T20:31:39.959545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별명업태구분명
의료기관종별명1.0001.000
업태구분명1.0001.000
2024-03-14T20:31:40.206138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료인수입원실수병상수총면적업태구분명의료기관종별명
의료인수1.0000.2800.2790.3630.0000.000
입원실수0.2801.0001.0000.3940.0250.025
병상수0.2791.0001.0000.3940.0550.055
총면적0.3630.3940.3941.0000.2610.261
업태구분명0.0000.0250.0550.2611.0001.000
의료기관종별명0.0000.0250.0550.2611.0001.000

Missing values

2024-03-14T20:31:17.798853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:31:18.384743image/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.
2024-03-14T20:31:18.751750image/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

사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소업태구분명의료기관종별명의료인수입원실수병상수총면적진료과목내용명데이터기준일자
0(사)대한산업보건협회전북산업보건센타 전북의원1989-06-03영업중063-225-1242전북특별자치도 전주시 덕진구 기린대로 1030 (여의동)전북특별자치도 전주시 덕진구 여의동 654-1의원의원31001468.0내과+외과+흉부외과+영상의학과+직업환경의학과2024-01-11
1(사)인구보건복지협회전북지회가족보건의원1974-01-16영업중063-240-2345전북특별자치도 전주시 덕진구 백제대로 720 (인후동2가)전북특별자치도 전주시 덕진구 인후동2가 1557의원의원11151188.0내과+산부인과+소아청소년과+영상의학과+진단검사의학과+가정의학과2024-01-11
2(사)인구보건복지협회전북지회가족치과의원2007-11-23영업중063-240-2331전북특별자치도 전주시 덕진구 백제대로 720 (인후동2가)전북특별자치도 전주시 덕진구 인후동2가 1557-1치과의원치과의원1300120.0치과+예방치과2024-01-11
3(사)한국건강관리협회 건강치과의원2013-05-02영업중<NA>전북특별자치도 전주시 덕진구 사평로 40, 5층 (덕진동1가, 건강검진센터)전북특별자치도 전주시 덕진구 덕진동1가 1408치과의원치과의원200146.0치과2024-01-11
4(사)한국건강관리협회건강증진의원1982-12-10영업중063-259-8900전북특별자치도 전주시 덕진구 사평로 40 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1408- 1의원의원472184907.79내과+외과+산부인과+영상의학과+진단검사의학과2024-01-11
521세기한의원1995-10-17영업중063-273-1075전북특별자치도 전주시 완산구 팔달로 255 (서노송동)전북특별자치도 전주시 완산구 서노송동 641-5한의원한의원10095.38한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-11
6365매일한의원2021-04-16영업중063-224-0855전북특별자치도 전주시 완산구 거마평로 24, 1층 (삼천동1가)전북특별자치도 전주시 완산구 삼천동1가 660-1한의원한의원100146.29한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-11
7365평화한의원2020-10-05영업중063-717-8875전북특별자치도 전주시 완산구 모악로 4689, 2층 201,202일부호 (평화동2가)전북특별자치도 전주시 완산구 평화동2가 312-5한의원한의원459368.96한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-11
8PSI한솔비뇨기과의원2016-01-20영업중063-227-7575전북특별자치도 전주시 완산구 백제대로 250, 3,4층 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 649-8의원의원346667.78비뇨의학과2024-01-11
9가온의료소비자생활협동조합 세나여성의원2002-11-30영업중063-229-8245전북특별자치도 전주시 완산구 소대배기로 14 (평화동2가)전북특별자치도 전주시 완산구 평화동2가 890-3의원의원426292125.92마취통증의학과+산부인과2024-01-11
사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소업태구분명의료기관종별명의료인수입원실수병상수총면적진료과목내용명데이터기준일자
1016효천이치과의원2019-12-17영업중063-275-8575전북특별자치도 전주시 완산구 효천중앙로 49, 4층 401호 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1377- 4치과의원치과의원100175.44구강악안면외과+치과보철과+소아치과+치주과+치과보존과+구강내과+영상치의학과+예방치과2024-01-11
1017효천탑플란트치과의원2023-06-28영업중063-224-2275전북특별자치도 전주시 완산구 쑥고개로 338, 비전타워 502호 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1358치과의원치과의원100200.0구강악안면외과+치과보철과+치과교정과+소아치과+치주과+치과보존과+구강내과+영상치의학과+구강병리과+예방치과+통합치의학과2024-01-11
1018후한의원2012-05-22영업중<NA>전북특별자치도 전주시 완산구 온고을로 20 (서신동)전북특별자치도 전주시 완산구 서신동 970-4한의원한의원10069.11한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-11
1019휴가정의학과의원2011-06-23영업중063-246-7975전북특별자치도 전주시 덕진구 안덕원로 252, 2층 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 783- 1의원의원100215.24내과+정형외과+신경외과+마취통증의학과+소아청소년과+이비인후과+피부과+비뇨의학과+가정의학과2024-01-11
1020휴마취통증의학과의원2008-10-31영업중063-252-7500전북특별자치도 전주시 덕진구 태진로 125-30 (금암동, 휴엔하임주상복합아파트)전북특별자치도 전주시 덕진구 금암동 1639- 1의원의원111432.24내과+정형외과+신경외과+마취통증의학과+이비인후과+비뇨의학과2024-01-11
1021휴먼사랑한의원2010-08-23영업중063-221-1567전북특별자치도 전주시 완산구 호암로 17 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1313- 8한의원한의원100140.15한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-11
1022휴먼치과의원2010-04-16영업중063-223-9003전북특별자치도 전주시 완산구 서원로 66 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1246- 14치과의원치과의원100157.06치과2024-01-11
1023휴부부치과의원2016-07-28영업중063-227-2275전북특별자치도 전주시 완산구 세내로 548 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 1456- 7치과의원치과의원100195.94구강악안면외과+치과보철과+치과교정과+소아치과+치주과+치과보존과+구강내과2024-01-11
1024희망가정의학과의원2009-04-28영업중063-241-8277전북특별자치도 전주시 완산구 장승배기로 364 (서서학동)전북특별자치도 전주시 완산구 서서학동 295-의원의원300396.43내과+외과+정형외과+소아청소년과+안과+이비인후과+피부과+비뇨의학과+가정의학과2024-01-11
1025흰돌치과의원2000-11-28영업중063-242-2756전북특별자치도 전주시 덕진구 안덕원로 275 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 766- 13치과의원치과의원100102.7예방치과2024-01-11