Overview

Dataset statistics

Number of variables5
Number of observations625
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description남양주시 의료기관 현황에 대한 데이터로 읍면동별 의료기관(병원, 의원, 치과의원, 한의원, 안마시술소, 안경업소, 치과가공소) 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/15069076/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:52:02.465370
Analysis finished2023-12-12 16:52:03.094314
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct625
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313
Minimum1
Maximum625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-13T01:52:03.185483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.2
Q1157
median313
Q3469
95-th percentile593.8
Maximum625
Range624
Interquartile range (IQR)312

Descriptive statistics

Standard deviation180.56624
Coefficient of variation (CV)0.57688894
Kurtosis-1.2
Mean313
Median Absolute Deviation (MAD)156
Skewness0
Sum195625
Variance32604.167
MonotonicityStrictly increasing
2023-12-13T01:52:03.340823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
421 1
 
0.2%
414 1
 
0.2%
415 1
 
0.2%
416 1
 
0.2%
417 1
 
0.2%
418 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
422 1
 
0.2%
Other values (615) 615
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
625 1
0.2%
624 1
0.2%
623 1
0.2%
622 1
0.2%
621 1
0.2%
620 1
0.2%
619 1
0.2%
618 1
0.2%
617 1
0.2%
616 1
0.2%

의료기관명
Text

Distinct616
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-13T01:52:03.539849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length7.4688
Min length3

Characters and Unicode

Total characters4668
Distinct characters336
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique607 ?
Unique (%)97.1%

Sample

1st row국민병원
2nd row남양주21세기병원
3rd row실버힐스병원
4th row양병원
5th row온세병원
ValueCountFrequency (%)
연세가정의학과의원 2
 
0.3%
서울탑치과의원 2
 
0.3%
정치과의원 2
 
0.3%
부부치과의원 2
 
0.3%
삼성우리이비인후과의원 2
 
0.3%
수치과의원 2
 
0.3%
백치과의원 2
 
0.3%
하얀치과의원 2
 
0.3%
하나산부인과의원 2
 
0.3%
우리내과의원 2
 
0.3%
Other values (616) 616
96.9%
2023-12-13T01:52:03.904093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 640
 
13.7%
의 628
 
13.5%
과 395
 
8.5%
치 178
 
3.8%
한 163
 
3.5%
소 111
 
2.4%
이 87
 
1.9%
인 74
 
1.6%
아 71
 
1.5%
내 68
 
1.5%
Other values (326) 2253
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4613
98.8%
Decimal Number 17
 
0.4%
Uppercase Letter 17
 
0.4%
Space Separator 11
 
0.2%
Lowercase Letter 7
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 640
 
13.9%
의 628
 
13.6%
과 395
 
8.6%
치 178
 
3.9%
한 163
 
3.5%
소 111
 
2.4%
이 87
 
1.9%
인 74
 
1.6%
아 71
 
1.5%
내 68
 
1.5%
Other values (302) 2198
47.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
11.8%
O 2
11.8%
U 2
11.8%
T 2
11.8%
S 2
11.8%
C 1
5.9%
I 1
5.9%
W 1
5.9%
A 1
5.9%
L 1
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
2 4
23.5%
3 3
17.6%
6 2
 
11.8%
5 2
 
11.8%
0 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
71.4%
h 2
 
28.6%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4613
98.8%
Common 31
 
0.7%
Latin 24
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 640
 
13.9%
의 628
 
13.6%
과 395
 
8.6%
치 178
 
3.9%
한 163
 
3.5%
소 111
 
2.4%
이 87
 
1.9%
인 74
 
1.6%
아 71
 
1.5%
내 68
 
1.5%
Other values (302) 2198
47.6%
Latin
ValueCountFrequency (%)
e 5
20.8%
K 2
 
8.3%
O 2
 
8.3%
U 2
 
8.3%
T 2
 
8.3%
h 2
 
8.3%
S 2
 
8.3%
C 1
 
4.2%
I 1
 
4.2%
W 1
 
4.2%
Other values (4) 4
16.7%
Common
ValueCountFrequency (%)
11
35.5%
1 5
16.1%
2 4
 
12.9%
3 3
 
9.7%
6 2
 
6.5%
5 2
 
6.5%
) 1
 
3.2%
( 1
 
3.2%
- 1
 
3.2%
0 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4613
98.8%
ASCII 55
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 640
 
13.9%
의 628
 
13.6%
과 395
 
8.6%
치 178
 
3.9%
한 163
 
3.5%
소 111
 
2.4%
이 87
 
1.9%
인 74
 
1.6%
아 71
 
1.5%
내 68
 
1.5%
Other values (302) 2198
47.6%
ASCII
ValueCountFrequency (%)
11
20.0%
e 5
 
9.1%
1 5
 
9.1%
2 4
 
7.3%
3 3
 
5.5%
K 2
 
3.6%
O 2
 
3.6%
U 2
 
3.6%
T 2
 
3.6%
h 2
 
3.6%
Other values (14) 17
30.9%

의료기관종별
Categorical

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
의원
287 
치과의원
173 
한의원
131 
병원
 
14
일반요양병원
 
14
Other values (3)
 
6

Length

Max length6
Median length4
Mean length2.8704
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 287
45.9%
치과의원 173
27.7%
한의원 131
21.0%
병원 14
 
2.2%
일반요양병원 14
 
2.2%
종합병원 3
 
0.5%
정신병원 2
 
0.3%
조산원 1
 
0.2%

Length

2023-12-13T01:52:04.058259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:52:04.215082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 287
45.9%
치과의원 173
27.7%
한의원 131
21.0%
병원 14
 
2.2%
일반요양병원 14
 
2.2%
종합병원 3
 
0.5%
정신병원 2
 
0.3%
조산원 1
 
0.2%

의료기관주소(도로명)
Text

Distinct611
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-13T01:52:04.528190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length32.6784
Min length18

Characters and Unicode

Total characters20424
Distinct characters261
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

Unique599 ?
Unique (%)95.8%

Sample

1st row경기도 남양주시 경춘로1308번길 4 (평내동)
2nd row경기도 남양주시 진건읍 사릉로442번길 15
3rd row경기도 남양주시 경춘로 1260 (평내동, 하나프라자 5층)
4th row경기도 남양주시 경춘로 933 (금곡동)
5th row경기도 남양주시 평내로29번길 49, 10층 (평내동, M2프라자)
ValueCountFrequency (%)
경기도 625
 
15.0%
남양주시 625
 
15.0%
2층 118
 
2.8%
진접읍 92
 
2.2%
화도읍 88
 
2.1%
와부읍 74
 
1.8%
별내동 65
 
1.6%
호평동 62
 
1.5%
다산동 56
 
1.3%
3층 55
 
1.3%
Other values (687) 2302
55.3%
2023-12-13T01:52:05.051785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3537
 
17.3%
, 787
 
3.9%
도 752
 
3.7%
남 722
 
3.5%
경 698
 
3.4%
로 644
 
3.2%
시 643
 
3.1%
주 640
 
3.1%
양 639
 
3.1%
2 634
 
3.1%
Other values (251) 10728
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11604
56.8%
Space Separator 3537
 
17.3%
Decimal Number 3446
 
16.9%
Other Punctuation 791
 
3.9%
Open Punctuation 453
 
2.2%
Close Punctuation 453
 
2.2%
Dash Punctuation 80
 
0.4%
Uppercase Letter 43
 
0.2%
Math Symbol 12
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 752
 
6.5%
남 722
 
6.2%
경 698
 
6.0%
로 644
 
5.5%
시 643
 
5.5%
주 640
 
5.5%
양 639
 
5.5%
기 625
 
5.4%
호 414
 
3.6%
읍 313
 
2.7%
Other values (217) 5514
47.5%
Uppercase Letter
ValueCountFrequency (%)
H 12
27.9%
C 11
25.6%
M 5
11.6%
S 4
 
9.3%
L 2
 
4.7%
E 2
 
4.7%
A 1
 
2.3%
N 1
 
2.3%
Z 1
 
2.3%
K 1
 
2.3%
Other values (3) 3
 
7.0%
Decimal Number
ValueCountFrequency (%)
2 634
18.4%
1 508
14.7%
0 496
14.4%
3 476
13.8%
4 339
9.8%
5 257
7.5%
6 231
 
6.7%
7 195
 
5.7%
9 168
 
4.9%
8 142
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 787
99.5%
. 4
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
h 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
3537
100.0%
Open Punctuation
ValueCountFrequency (%)
( 453
100.0%
Close Punctuation
ValueCountFrequency (%)
) 453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11604
56.8%
Common 8772
42.9%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 752
 
6.5%
남 722
 
6.2%
경 698
 
6.0%
로 644
 
5.5%
시 643
 
5.5%
주 640
 
5.5%
양 639
 
5.5%
기 625
 
5.4%
호 414
 
3.6%
읍 313
 
2.7%
Other values (217) 5514
47.5%
Common
ValueCountFrequency (%)
3537
40.3%
, 787
 
9.0%
2 634
 
7.2%
1 508
 
5.8%
0 496
 
5.7%
3 476
 
5.4%
( 453
 
5.2%
) 453
 
5.2%
4 339
 
3.9%
5 257
 
2.9%
Other values (7) 832
 
9.5%
Latin
ValueCountFrequency (%)
H 12
25.0%
C 11
22.9%
M 5
10.4%
S 4
 
8.3%
L 2
 
4.2%
E 2
 
4.2%
c 2
 
4.2%
Ⅰ 1
 
2.1%
A 1
 
2.1%
h 1
 
2.1%
Other values (7) 7
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11604
56.8%
ASCII 8818
43.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3537
40.1%
, 787
 
8.9%
2 634
 
7.2%
1 508
 
5.8%
0 496
 
5.6%
3 476
 
5.4%
( 453
 
5.1%
) 453
 
5.1%
4 339
 
3.8%
5 257
 
2.9%
Other values (22) 878
 
10.0%
Hangul
ValueCountFrequency (%)
도 752
 
6.5%
남 722
 
6.2%
경 698
 
6.0%
로 644
 
5.5%
시 643
 
5.5%
주 640
 
5.5%
양 639
 
5.5%
기 625
 
5.4%
호 414
 
3.6%
읍 313
 
2.7%
Other values (217) 5514
47.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

의료기관전화번호
Text

Distinct615
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-13T01:52:05.341119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0096
Min length12

Characters and Unicode

Total characters7506
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

Unique606 ?
Unique (%)97.0%

Sample

1st row031-1877-7089
2nd row031-573-1114
3rd row031-511-9494
4th row031-590-9220
5th row031-594-7912
ValueCountFrequency (%)
031-571-5561 3
 
0.5%
031-591-1092 2
 
0.3%
031-529-8816 2
 
0.3%
031-574-6141 2
 
0.3%
031-511-1111 2
 
0.3%
031-562-7577 2
 
0.3%
031-573-2757 2
 
0.3%
070-4739-6236 2
 
0.3%
031-592-6661 2
 
0.3%
031-529-7582 1
 
0.2%
Other values (605) 605
96.8%
2023-12-13T01:52:05.773768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1250
16.7%
5 1129
15.0%
1 1001
13.3%
0 968
12.9%
3 898
12.0%
7 647
8.6%
2 527
7.0%
9 359
 
4.8%
8 343
 
4.6%
6 194
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6256
83.3%
Dash Punctuation 1250
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1129
18.0%
1 1001
16.0%
0 968
15.5%
3 898
14.4%
7 647
10.3%
2 527
8.4%
9 359
 
5.7%
8 343
 
5.5%
6 194
 
3.1%
4 190
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1250
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7506
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1250
16.7%
5 1129
15.0%
1 1001
13.3%
0 968
12.9%
3 898
12.0%
7 647
8.6%
2 527
7.0%
9 359
 
4.8%
8 343
 
4.6%
6 194
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1250
16.7%
5 1129
15.0%
1 1001
13.3%
0 968
12.9%
3 898
12.0%
7 647
8.6%
2 527
7.0%
9 359
 
4.8%
8 343
 
4.6%
6 194
 
2.6%

Interactions

2023-12-13T01:52:02.818127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:52:05.923414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.750
의료기관종별0.7501.000
2023-12-13T01:52:06.031432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.484
의료기관종별0.4841.000

Missing values

2023-12-13T01:52:02.934123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:52:03.021387image/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

순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
01국민병원병원경기도 남양주시 경춘로1308번길 4 (평내동)031-1877-7089
12남양주21세기병원병원경기도 남양주시 진건읍 사릉로442번길 15031-573-1114
23실버힐스병원병원경기도 남양주시 경춘로 1260 (평내동, 하나프라자 5층)031-511-9494
34양병원병원경기도 남양주시 경춘로 933 (금곡동)031-590-9220
45온세병원병원경기도 남양주시 평내로29번길 49, 10층 (평내동, M2프라자)031-594-7912
56원병원병원경기도 남양주시 화도읍 경춘로 1943-16031-590-3114
67하나소아청소년과병원병원경기도 남양주시 늘을1로16번길 25, 성보빌딩 4층, 10층층 (호평동)031-593-1140
78경기도노인전문남양주병원일반요양병원경기도 남양주시 수동면 외방로172번길 50031-590-5000
89남양주나무요양병원일반요양병원경기도 남양주시 평내로29번길 41 (평내동, 메인프라자)031-511-5100
910남양주정드림노인전문병원일반요양병원경기도 남양주시 사릉로 13 (금곡동)031-511-8324
순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
615616청학한의원한의원경기도 남양주시 별내면 청학로중앙길 15, 201호 (주공프라자)031-848-7975
616617최국기한의원한의원경기도 남양주시 별내중앙로 53, 3층 (별내동)070-4739-6236
617618편안한거북이한의원한의원경기도 남양주시 오남읍 진건오남로808번길 4031-574-7582
618619평강한의원한의원경기도 남양주시 진접읍 장현로 78, 2층 208,209호 (대명아파트 상가동)031-574-5006
619620평유재한의원한의원경기도 남양주시 진접읍 해밀예당1로 220, 402호,403호 (엠타워)031-575-8287
620621함제한의원한의원경기도 남양주시 진접읍 장현로 77, 312호 (장현프라자)031-573-6345
621622해나무키즈앤어르신한의원한의원경기도 남양주시 진접읍 해밀예당3로 60, 404호 (호평프라자)031-529-7523
622623해모아한의원한의원경기도 남양주시 별내면 청학로중앙길 5, A동 201호 (성현빌딩)031-848-9128
623624허성한의원한의원경기도 남양주시 오남읍 진건오남로 800031-527-1075
624625현대한의원한의원경기도 남양주시 진접읍 장현로47번길 6-2, 2층 (우정코아)031-528-7500