Overview

Dataset statistics

Number of variables4
Number of observations462
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description연수구 내 의료기관 현황에 대한 데이터로 의료기관명, 소재지의 항목- 의료기관종별, 의료기관명, 의료기관주소로 구분
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15065394&srcSe=7661IVAWM27C61E190

Alerts

순번 is highly overall correlated with 의료기관종별High correlation
의료기관종별 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 10:48:04.336634
Analysis finished2024-04-21 10:48:05.631350
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct462
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.5
Minimum1
Maximum462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-21T19:48:05.844906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.05
Q1116.25
median231.5
Q3346.75
95-th percentile438.95
Maximum462
Range461
Interquartile range (IQR)230.5

Descriptive statistics

Standard deviation133.51217
Coefficient of variation (CV)0.57672644
Kurtosis-1.2
Mean231.5
Median Absolute Deviation (MAD)115.5
Skewness0
Sum106953
Variance17825.5
MonotonicityStrictly increasing
2024-04-21T19:48:06.261457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
319 1
 
0.2%
317 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
314 1
 
0.2%
313 1
 
0.2%
312 1
 
0.2%
311 1
 
0.2%
310 1
 
0.2%
Other values (452) 452
97.8%
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 (%)
462 1
0.2%
461 1
0.2%
460 1
0.2%
459 1
0.2%
458 1
0.2%
457 1
0.2%
456 1
0.2%
455 1
0.2%
454 1
0.2%
453 1
0.2%

의료기관종별
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
의원
233 
치과의원
127 
한의원
85 
한방병원
 
6
병원
 
4
Other values (3)
 
7

Length

Max length4
Median length2
Mean length2.7900433
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 233
50.4%
치과의원 127
27.5%
한의원 85
 
18.4%
한방병원 6
 
1.3%
병원 4
 
0.9%
요양병원 3
 
0.6%
종합병원 2
 
0.4%
치과병원 2
 
0.4%

Length

2024-04-21T19:48:06.695432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:48:07.050011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 233
50.4%
치과의원 127
27.5%
한의원 85
 
18.4%
한방병원 6
 
1.3%
병원 4
 
0.9%
요양병원 3
 
0.6%
종합병원 2
 
0.4%
치과병원 2
 
0.4%

의료기관명
Text

UNIQUE 

Distinct462
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-21T19:48:07.741026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.0194805
Min length3

Characters and Unicode

Total characters3705
Distinct characters346
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique462 ?
Unique (%)100.0%

Sample

1st row송도연세병원
2nd row송도미소어린이병원
3rd row나래병원
4th row경인권역재활병원
5th row희망찬요양병원
ValueCountFrequency (%)
의료법인 5
 
1.1%
송도연세병원 1
 
0.2%
옥련서울치과의원 1
 
0.2%
쥬니어플러스치과의원 1
 
0.2%
연수퍼스트치과의원 1
 
0.2%
제이치과의원 1
 
0.2%
서울고운이치과의원 1
 
0.2%
랜더스치과의원 1
 
0.2%
송도위드치과의원 1
 
0.2%
송도이안치과의원 1
 
0.2%
Other values (461) 461
97.1%
2024-04-21T19:48:08.924109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 483
 
13.0%
원 474
 
12.8%
과 324
 
8.7%
치 141
 
3.8%
한 103
 
2.8%
이 94
 
2.5%
송 77
 
2.1%
도 77
 
2.1%
연 58
 
1.6%
인 56
 
1.5%
Other values (336) 1818
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3642
98.3%
Uppercase Letter 19
 
0.5%
Decimal Number 14
 
0.4%
Space Separator 13
 
0.4%
Other Punctuation 6
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 483
 
13.3%
원 474
 
13.0%
과 324
 
8.9%
치 141
 
3.9%
한 103
 
2.8%
이 94
 
2.6%
송 77
 
2.1%
도 77
 
2.1%
연 58
 
1.6%
인 56
 
1.5%
Other values (313) 1755
48.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.8%
D 2
10.5%
I 2
10.5%
B 2
10.5%
N 2
10.5%
K 2
10.5%
J 1
 
5.3%
H 1
 
5.3%
S 1
 
5.3%
T 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
5 4
28.6%
6 4
28.6%
3 4
28.6%
2 2
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
＆ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3642
98.3%
Common 42
 
1.1%
Latin 21
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 483
 
13.3%
원 474
 
13.0%
과 324
 
8.9%
치 141
 
3.9%
한 103
 
2.8%
이 94
 
2.6%
송 77
 
2.1%
도 77
 
2.1%
연 58
 
1.6%
인 56
 
1.5%
Other values (313) 1755
48.2%
Latin
ValueCountFrequency (%)
C 3
14.3%
e 2
9.5%
D 2
9.5%
I 2
9.5%
B 2
9.5%
N 2
9.5%
K 2
9.5%
J 1
 
4.8%
H 1
 
4.8%
S 1
 
4.8%
Other values (3) 3
14.3%
Common
ValueCountFrequency (%)
13
31.0%
. 5
 
11.9%
) 4
 
9.5%
( 4
 
9.5%
5 4
 
9.5%
6 4
 
9.5%
3 4
 
9.5%
2 2
 
4.8%
- 1
 
2.4%
＆ 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3642
98.3%
ASCII 62
 
1.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 483
 
13.3%
원 474
 
13.0%
과 324
 
8.9%
치 141
 
3.9%
한 103
 
2.8%
이 94
 
2.6%
송 77
 
2.1%
도 77
 
2.1%
연 58
 
1.6%
인 56
 
1.5%
Other values (313) 1755
48.2%
ASCII
ValueCountFrequency (%)
13
21.0%
. 5
 
8.1%
) 4
 
6.5%
( 4
 
6.5%
5 4
 
6.5%
6 4
 
6.5%
3 4
 
6.5%
C 3
 
4.8%
e 2
 
3.2%
2 2
 
3.2%
Other values (12) 17
27.4%
None
ValueCountFrequency (%)
＆ 1
100.0%

의료기관주소(도로명)
Text

Distinct450
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-21T19:48:09.953138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length56
Mean length39.915584
Min length22

Characters and Unicode

Total characters18441
Distinct characters280
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

Unique440 ?
Unique (%)95.2%

Sample

1st row인천광역시 연수구 신송로 157-9, 기은빌딩 3~8층 (송도동)
2nd row인천광역시 연수구 하모니로 158, 송도타임스페이스 A동 7,8,9층 (송도동)
3rd row인천광역시 연수구 청능대로 69 (청학동, 연세다나병원)
4th row인천광역시 연수구 원인재로 263 (연수동)
5th row인천광역시 연수구 용담로 118, 지하2층~지상9층 (연수동)
ValueCountFrequency (%)
인천광역시 462
 
13.7%
연수구 462
 
13.7%
송도동 239
 
7.1%
2층 74
 
2.2%
연수동 72
 
2.1%
동춘동 61
 
1.8%
3층 55
 
1.6%
옥련동 48
 
1.4%
신송로 38
 
1.1%
송도 35
 
1.0%
Other values (664) 1822
54.1%
2024-04-21T19:48:11.457644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2906
 
15.8%
, 809
 
4.4%
1 598
 
3.2%
동 596
 
3.2%
2 592
 
3.2%
연 551
 
3.0%
수 549
 
3.0%
시 538
 
2.9%
인 516
 
2.8%
0 513
 
2.8%
Other values (270) 10273
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10202
55.3%
Decimal Number 3376
 
18.3%
Space Separator 2906
 
15.8%
Other Punctuation 810
 
4.4%
Open Punctuation 467
 
2.5%
Close Punctuation 467
 
2.5%
Uppercase Letter 140
 
0.8%
Dash Punctuation 55
 
0.3%
Math Symbol 16
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 596
 
5.8%
연 551
 
5.4%
수 549
 
5.4%
시 538
 
5.3%
인 516
 
5.1%
천 485
 
4.8%
로 478
 
4.7%
구 464
 
4.5%
역 463
 
4.5%
광 462
 
4.5%
Other values (232) 5100
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 40
28.6%
B 16
 
11.4%
C 13
 
9.3%
H 10
 
7.1%
R 7
 
5.0%
T 7
 
5.0%
E 6
 
4.3%
I 6
 
4.3%
G 5
 
3.6%
D 5
 
3.6%
Other values (9) 25
17.9%
Decimal Number
ValueCountFrequency (%)
1 598
17.7%
2 592
17.5%
0 513
15.2%
3 388
11.5%
4 351
10.4%
5 285
8.4%
6 267
7.9%
8 170
 
5.0%
7 116
 
3.4%
9 96
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 809
99.9%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
2906
100.0%
Open Punctuation
ValueCountFrequency (%)
( 467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 467
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10202
55.3%
Common 8097
43.9%
Latin 142
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 596
 
5.8%
연 551
 
5.4%
수 549
 
5.4%
시 538
 
5.3%
인 516
 
5.1%
천 485
 
4.8%
로 478
 
4.7%
구 464
 
4.5%
역 463
 
4.5%
광 462
 
4.5%
Other values (232) 5100
50.0%
Latin
ValueCountFrequency (%)
A 40
28.2%
B 16
 
11.3%
C 13
 
9.2%
H 10
 
7.0%
R 7
 
4.9%
T 7
 
4.9%
E 6
 
4.2%
I 6
 
4.2%
G 5
 
3.5%
D 5
 
3.5%
Other values (11) 27
19.0%
Common
ValueCountFrequency (%)
2906
35.9%
, 809
 
10.0%
1 598
 
7.4%
2 592
 
7.3%
0 513
 
6.3%
( 467
 
5.8%
) 467
 
5.8%
3 388
 
4.8%
4 351
 
4.3%
5 285
 
3.5%
Other values (7) 721
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10202
55.3%
ASCII 8239
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2906
35.3%
, 809
 
9.8%
1 598
 
7.3%
2 592
 
7.2%
0 513
 
6.2%
( 467
 
5.7%
) 467
 
5.7%
3 388
 
4.7%
4 351
 
4.3%
5 285
 
3.5%
Other values (28) 863
 
10.5%
Hangul
ValueCountFrequency (%)
동 596
 
5.8%
연 551
 
5.4%
수 549
 
5.4%
시 538
 
5.3%
인 516
 
5.1%
천 485
 
4.8%
로 478
 
4.7%
구 464
 
4.5%
역 463
 
4.5%
광 462
 
4.5%
Other values (232) 5100
50.0%

Interactions

2024-04-21T19:48:04.929085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T19:48:11.710784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.784
의료기관종별0.7841.000
2024-04-21T19:48:11.934654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.527
의료기관종별0.5271.000

Missing values

2024-04-21T19:48:05.240632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T19:48:05.520995image/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

순번의료기관종별의료기관명의료기관주소(도로명)
01병원송도연세병원인천광역시 연수구 신송로 157-9, 기은빌딩 3~8층 (송도동)
12병원송도미소어린이병원인천광역시 연수구 하모니로 158, 송도타임스페이스 A동 7,8,9층 (송도동)
23병원나래병원인천광역시 연수구 청능대로 69 (청학동, 연세다나병원)
34병원경인권역재활병원인천광역시 연수구 원인재로 263 (연수동)
45요양병원희망찬요양병원인천광역시 연수구 용담로 118, 지하2층~지상9층 (연수동)
56요양병원로하스인천요양병원인천광역시 연수구 벚꽃로 114, 브랫슬 7~8층 (연수동)
67요양병원송도효자병원인천광역시 연수구 능허대로 235 (옥련동, 송도효자병원)
78종합병원의료법인 나사렛의료재단 나사렛국제병원인천광역시 연수구 먼우금로 98 (동춘동, 나사렛국제병원)
89종합병원인천적십자병원인천광역시 연수구 원인재로 263 (연수동, 인천적십자병원)
910치과병원22세기서울치과병원인천광역시 연수구 컨벤시아대로 69, 415호 (송도동, 송도 밀레니엄)
순번의료기관종별의료기관명의료기관주소(도로명)
452453한의원동인당한의원인천광역시 연수구 앵고개로 256 (동춘동)
453454한의원본디올경희한의원인천광역시 연수구 앵고개로 250 (동춘동)
454455한의원남송한의원인천광역시 연수구 먼우금로 88 (동춘동)
455456한의원김규식한의원인천광역시 연수구 비류대로 429 (연수동)
456457한의원성성한의원인천광역시 연수구 용담로 115, 7층 (연수동, 파크타워)
457458한의원해인당한의원인천광역시 연수구 함박뫼로 68 (연수동)
458459한의원김종욱한의원인천광역시 연수구 원인재로 88, 201호 (동춘동, 대우삼환아파트상가)
459460한의원동의보감한의원인천광역시 연수구 청능대로 103, 2층 일부호 (연수동)
460461한의원서명원한의원인천광역시 연수구 한나루로 182 (옥련동)
461462한의원스마일한의원인천광역시 연수구 앵고개로 260, 맘모스빌딩 304~313호 (동춘동)