Overview

Dataset statistics

Number of variables6
Number of observations544
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory48.2 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description경기도 김포시 의료기관 현황 정보에 대한 데이터로 구분, 상호명, 소재지주소, 법정동명, 전화번호 등의 항목을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15036627/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly imbalanced (76.5%)Imbalance

Reproduction

Analysis started2024-04-21 10:22:04.825644
Analysis finished2024-04-21 10:22:06.007571
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
의원
508 
병원
 
34
응급의료센타
 
2

Length

Max length6
Median length2
Mean length2.0147059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 508
93.4%
병원 34
 
6.2%
응급의료센타 2
 
0.4%

Length

2024-04-21T19:22:06.245646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:22:06.578903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 508
93.4%
병원 34
 
6.2%
응급의료센타 2
 
0.4%

상호명
Text

Distinct542
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-21T19:22:07.377903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.7904412
Min length3

Characters and Unicode

Total characters4238
Distinct characters314
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique540 ?
Unique (%)99.3%

Sample

1st row김포한방병원
2nd row아너스힐병원
3rd row춘의생한방병원
4th row마디척병원
5th row한강연세병원
ValueCountFrequency (%)
치과의원 3
 
0.5%
의료법인인봉의료재단뉴고려병원 2
 
0.4%
정형외과의원 2
 
0.4%
의료법인우리의료재단김포우리병원 2
 
0.4%
차광수내과의원 1
 
0.2%
미소하나치과의원 1
 
0.2%
굿드림치과의원 1
 
0.2%
아산내과의원 1
 
0.2%
김포쥬니어소아치과치과의원 1
 
0.2%
연세소아청소년과의원 1
 
0.2%
Other values (536) 536
97.3%
2024-04-21T19:22:08.692112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 556
 
13.1%
의 552
 
13.0%
과 365
 
8.6%
치 170
 
4.0%
한 142
 
3.4%
소 77
 
1.8%
이 77
 
1.8%
아 67
 
1.6%
김 60
 
1.4%
포 56
 
1.3%
Other values (304) 2116
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4189
98.8%
Decimal Number 28
 
0.7%
Space Separator 7
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 556
 
13.3%
의 552
 
13.2%
과 365
 
8.7%
치 170
 
4.1%
한 142
 
3.4%
소 77
 
1.8%
이 77
 
1.8%
아 67
 
1.6%
김 60
 
1.4%
포 56
 
1.3%
Other values (291) 2067
49.3%
Decimal Number
ValueCountFrequency (%)
5 9
32.1%
6 8
28.6%
3 8
28.6%
2 2
 
7.1%
1 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
H 1
25.0%
V 1
25.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4186
98.8%
Common 44
 
1.0%
Latin 5
 
0.1%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 556
 
13.3%
의 552
 
13.2%
과 365
 
8.7%
치 170
 
4.1%
한 142
 
3.4%
소 77
 
1.8%
이 77
 
1.8%
아 67
 
1.6%
김 60
 
1.4%
포 56
 
1.3%
Other values (290) 2064
49.3%
Common
ValueCountFrequency (%)
5 9
20.5%
6 8
18.2%
3 8
18.2%
7
15.9%
) 4
9.1%
( 4
9.1%
2 2
 
4.5%
1 1
 
2.3%
- 1
 
2.3%
Latin
ValueCountFrequency (%)
S 2
40.0%
e 1
20.0%
H 1
20.0%
V 1
20.0%
Han
ValueCountFrequency (%)
美 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4186
98.8%
ASCII 49
 
1.2%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 556
 
13.3%
의 552
 
13.2%
과 365
 
8.7%
치 170
 
4.1%
한 142
 
3.4%
소 77
 
1.8%
이 77
 
1.8%
아 67
 
1.6%
김 60
 
1.4%
포 56
 
1.3%
Other values (290) 2064
49.3%
ASCII
ValueCountFrequency (%)
5 9
18.4%
6 8
16.3%
3 8
16.3%
7
14.3%
) 4
8.2%
( 4
8.2%
S 2
 
4.1%
2 2
 
4.1%
1 1
 
2.0%
e 1
 
2.0%
Other values (3) 3
 
6.1%
CJK
ValueCountFrequency (%)
美 3
100.0%

소재지주소
Text

Distinct536
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-21T19:22:09.958203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length34.636029
Min length18

Characters and Unicode

Total characters18842
Distinct characters252
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique528 ?
Unique (%)97.1%

Sample

1st row경기도 김포시 전원로 11, 가든프라자 3,4,5(일부)층
2nd row경기도 김포시 통진읍 흥신로 320-10, 아너스힐병원
3rd row경기도 김포시 김포한강8로 416, 채움메디컬 4,5층 402~407,501~507호 (구래동)
4th row경기도 김포시 북변중로 127 (북변동)
5th row경기도 김포시 김포한강11로 312, 리엔포레2차 137~147,201~09호 (운양동)
ValueCountFrequency (%)
경기도 544
 
14.5%
김포시 544
 
14.5%
장기동 105
 
2.8%
구래동 87
 
2.3%
김포한강4로 76
 
2.0%
풍무동 74
 
2.0%
김포대로 70
 
1.9%
3층 58
 
1.5%
사우동 56
 
1.5%
2층 49
 
1.3%
Other values (710) 2096
55.8%
2024-04-21T19:22:11.671206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3217
 
17.1%
포 889
 
4.7%
김 855
 
4.5%
, 776
 
4.1%
기 661
 
3.5%
2 581
 
3.1%
1 574
 
3.0%
0 563
 
3.0%
도 560
 
3.0%
시 560
 
3.0%
Other values (242) 9606
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10077
53.5%
Decimal Number 3683
 
19.5%
Space Separator 3217
 
17.1%
Other Punctuation 778
 
4.1%
Open Punctuation 459
 
2.4%
Close Punctuation 459
 
2.4%
Dash Punctuation 77
 
0.4%
Math Symbol 72
 
0.4%
Uppercase Letter 18
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 889
 
8.8%
김 855
 
8.5%
기 661
 
6.6%
도 560
 
5.6%
시 560
 
5.6%
경 551
 
5.5%
로 549
 
5.4%
동 470
 
4.7%
호 359
 
3.6%
층 252
 
2.5%
Other values (216) 4371
43.4%
Decimal Number
ValueCountFrequency (%)
2 581
15.8%
1 574
15.6%
0 563
15.3%
3 538
14.6%
4 438
11.9%
5 313
8.5%
8 221
 
6.0%
7 205
 
5.6%
6 150
 
4.1%
9 100
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
M 6
33.3%
C 4
22.2%
J 3
16.7%
S 2
 
11.1%
A 1
 
5.6%
H 1
 
5.6%
B 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 776
99.7%
& 2
 
0.3%
Space Separator
ValueCountFrequency (%)
3217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Math Symbol
ValueCountFrequency (%)
~ 72
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10077
53.5%
Common 8745
46.4%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 889
 
8.8%
김 855
 
8.5%
기 661
 
6.6%
도 560
 
5.6%
시 560
 
5.6%
경 551
 
5.5%
로 549
 
5.4%
동 470
 
4.7%
호 359
 
3.6%
층 252
 
2.5%
Other values (216) 4371
43.4%
Common
ValueCountFrequency (%)
3217
36.8%
, 776
 
8.9%
2 581
 
6.6%
1 574
 
6.6%
0 563
 
6.4%
3 538
 
6.2%
( 459
 
5.2%
) 459
 
5.2%
4 438
 
5.0%
5 313
 
3.6%
Other values (7) 827
 
9.5%
Latin
ValueCountFrequency (%)
M 6
30.0%
C 4
20.0%
J 3
15.0%
S 2
 
10.0%
A 1
 
5.0%
e 1
 
5.0%
H 1
 
5.0%
B 1
 
5.0%
Ⅱ 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10077
53.5%
ASCII 8764
46.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3217
36.7%
, 776
 
8.9%
2 581
 
6.6%
1 574
 
6.5%
0 563
 
6.4%
3 538
 
6.1%
( 459
 
5.2%
) 459
 
5.2%
4 438
 
5.0%
5 313
 
3.6%
Other values (15) 846
 
9.7%
Hangul
ValueCountFrequency (%)
포 889
 
8.8%
김 855
 
8.5%
기 661
 
6.6%
도 560
 
5.6%
시 560
 
5.6%
경 551
 
5.5%
로 549
 
5.4%
동 470
 
4.7%
호 359
 
3.6%
층 252
 
2.5%
Other values (216) 4371
43.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

법정동명
Categorical

Distinct22
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
구래동
87 
풍무동
73 
장기동
70 
김포본동
57 
사우동
55 
Other values (17)
202 

Length

Max length5
Median length3
Mean length3.1911765
Min length2

Unique

Unique5 ?
Unique (%)0.9%

Sample

1st row운양동
2nd row통진읍
3rd row구래동
4th row김포본동
5th row운양동

Common Values

ValueCountFrequency (%)
구래동 87
16.0%
풍무동 73
13.4%
장기동 70
12.9%
김포본동 57
10.5%
사우동 55
10.1%
고촌읍 40
7.4%
장기본동 35
6.4%
운양동 34
 
6.2%
통진읍 31
 
5.7%
양촌읍 21
 
3.9%
Other values (12) 41
7.5%

Length

2024-04-21T19:22:12.089791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구래동 87
16.0%
풍무동 74
13.6%
장기동 70
12.9%
김포본동 59
10.8%
사우동 56
10.3%
고촌읍 40
7.4%
운양동 37
6.8%
장기본동 35
6.4%
통진읍 32
 
5.9%
양촌읍 21
 
3.9%
Other values (7) 33
 
6.1%

전화번호
Text

Distinct541
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-21T19:22:12.998286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.930147
Min length8

Characters and Unicode

Total characters6490
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

Unique538 ?
Unique (%)98.9%

Sample

1st row031-996-5529
2nd row031-8049-7650
3rd row1833-2820
4th row031-981-2567
5th row031-982-8270
ValueCountFrequency (%)
031-998-8129 2
 
0.4%
031-999-1000 2
 
0.4%
031-999-2222 2
 
0.4%
031-985-2420 1
 
0.2%
983-7575 1
 
0.2%
031-984-7504 1
 
0.2%
031-996-9903 1
 
0.2%
031-986-7928 1
 
0.2%
031-981-2097 1
 
0.2%
031-987-1075 1
 
0.2%
Other values (531) 531
97.6%
2024-04-21T19:22:14.333302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1071
16.5%
9 877
13.5%
0 834
12.9%
1 746
11.5%
8 721
11.1%
3 697
10.7%
7 417
 
6.4%
2 389
 
6.0%
5 371
 
5.7%
6 204
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5419
83.5%
Dash Punctuation 1071
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 877
16.2%
0 834
15.4%
1 746
13.8%
8 721
13.3%
3 697
12.9%
7 417
7.7%
2 389
7.2%
5 371
6.8%
6 204
 
3.8%
4 163
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1071
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6490
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1071
16.5%
9 877
13.5%
0 834
12.9%
1 746
11.5%
8 721
11.1%
3 697
10.7%
7 417
 
6.4%
2 389
 
6.0%
5 371
 
5.7%
6 204
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1071
16.5%
9 877
13.5%
0 834
12.9%
1 746
11.5%
8 721
11.1%
3 697
10.7%
7 417
 
6.4%
2 389
 
6.0%
5 371
 
5.7%
6 204
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2023-07-13 00:00:00
Maximum2023-07-13 00:00:00
2024-04-21T19:22:14.679610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:22:14.967631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-21T19:22:15.168606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분법정동명
구분1.0000.508
법정동명0.5081.000
2024-04-21T19:22:15.388735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분법정동명
구분1.0000.304
법정동명0.3041.000
2024-04-21T19:22:15.615554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분법정동명
구분1.0000.304
법정동명0.3041.000

Missing values

2024-04-21T19:22:05.531916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T19:22:05.875156image/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

구분상호명소재지주소법정동명전화번호데이터기준일자
0병원김포한방병원경기도 김포시 전원로 11, 가든프라자 3,4,5(일부)층운양동031-996-55292023-07-13
1병원아너스힐병원경기도 김포시 통진읍 흥신로 320-10, 아너스힐병원통진읍031-8049-76502023-07-13
2병원춘의생한방병원경기도 김포시 김포한강8로 416, 채움메디컬 4,5층 402~407,501~507호 (구래동)구래동1833-28202023-07-13
3병원마디척병원경기도 김포시 북변중로 127 (북변동)김포본동031-981-25672023-07-13
4병원한강연세병원경기도 김포시 김포한강11로 312, 리엔포레2차 137~147,201~09호 (운양동)운양동031-982-82702023-07-13
5병원연세하나병원경기도 김포시 김포대로 709, 퍼스트블루 2,3,4층 (풍무동)풍무동1577-45582023-07-13
6병원김포봄한방병원경기도 김포시 김포한강4로 543, 지오프라자 1동 5~6층층 (구래동)구래동031-981-00202023-07-13
7병원김포보배한방병원경기도 김포시 풍무로 174, 풍무메디칼프라자 5~9층층 (풍무동)풍무동031-992-72712023-07-13
8병원김포다올요양병원경기도 김포시 김포한강10로133번길 67, 지1-2층 (구래동)구래동031-989-75872023-07-13
9병원연세더바른병원경기도 김포시 김포한강4로 543, 지오프라자 3,4층 (구래동)구래동1833-83712023-07-13
구분상호명소재지주소법정동명전화번호데이터기준일자
534의원제일치과의원경기도 김포시 봉화로182번길 42, 310호 (북변동, 북변산호아파트 상가동)김포본동031-983-50102023-07-13
535의원아름다운 오늘현경준피부과의원경기도 김포시 김포대로 859, 5층 (사우동, 하나메디칼센타)사우동031-986-79932023-07-13
536의원중앙정형외과의원경기도 김포시 걸포로 6, 케이탑리츠 김포빌딩 304호 (걸포동)김포본동031-983-02912023-07-13
537의원이사랑치과의원경기도 김포시 고촌읍 장차로 1, 4층 (범영빌딩)고촌읍031-985-28752023-07-13
538의원이동우치과의원경기도 김포시 통진읍 조강로 35통진읍031-989-28752023-07-13
539의원서울정형외과의원경기도 김포시 북변중로 135, 303호 (북변동)김포본동031-984-05112023-07-13
540의원차광수내과의원경기도 김포시 북변중로 135, 302호 (북변동)김포본동031-983-40542023-07-13
541의원솔빛치과의원경기도 김포시 청송로 26, 306호 (장기동, 청송현대쇼핑센타)장기본동031-981-28342023-07-13
542응급의료센타의료법인인봉의료재단뉴고려병원경기도 김포시 김포한강3로 283, 뉴고려병원 (장기동)장기동031-998-81292023-07-13
543응급의료센타의료법인우리의료재단김포우리병원경기도 김포시 감암로 11, 김포우리병원 (걸포동)김포본동031-999-10002023-07-13