Overview

Dataset statistics

Number of variables9
Number of observations7276
Missing cells147
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory533.0 KiB
Average record size in memory75.0 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(약품목수) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=PK4Q2BU407T2Q8IWG7PR21293961&infSeq=1

Alerts

평가내역 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지도로명주소 has 92 (1.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:17:20.308329
Analysis finished2023-12-10 21:17:22.725573
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
성남시
788 
수원시
729 
고양시
575 
용인시
506 
부천시
504 
Other values (26)
4174 

Length

Max length4
Median length3
Mean length3.0898846
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성남시
2nd row이천시
3rd row안산시
4th row성남시
5th row수원시

Common Values

ValueCountFrequency (%)
성남시 788
 
10.8%
수원시 729
 
10.0%
고양시 575
 
7.9%
용인시 506
 
7.0%
부천시 504
 
6.9%
화성시 367
 
5.0%
안양시 364
 
5.0%
안산시 360
 
4.9%
남양주시 325
 
4.5%
의정부시 283
 
3.9%
Other values (21) 2475
34.0%

Length

2023-12-11T06:17:22.784302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 788
 
10.8%
수원시 729
 
10.0%
고양시 575
 
7.9%
용인시 506
 
7.0%
부천시 504
 
6.9%
화성시 367
 
5.0%
안양시 364
 
5.0%
안산시 360
 
4.9%
남양주시 325
 
4.5%
의정부시 283
 
3.9%
Other values (21) 2475
34.0%

기관명
Text

Distinct5919
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
2023-12-11T06:17:22.952408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length8.2297966
Min length3

Characters and Unicode

Total characters59880
Distinct characters605
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5322 ?
Unique (%)73.1%

Sample

1st row(의) 열린의료재단 성남열린의원
2nd row(의) 열린의료재단 이천열린의원
3rd row(의)대선의료재단으뜸요양병원
4th row(의)열린의료재단 분당열린의원
5th row(재)한국의학연구소 KMI경기의원
ValueCountFrequency (%)
의료법인 35
 
0.5%
두리이비인후과의원 20
 
0.3%
의원 17
 
0.2%
연세이비인후과의원 17
 
0.2%
상쾌한이비인후과의원 16
 
0.2%
서울안과의원 16
 
0.2%
서울이비인후과의원 16
 
0.2%
서울정형외과의원 14
 
0.2%
연세내과의원 13
 
0.2%
서울내과의원 13
 
0.2%
Other values (6025) 7330
97.6%
2023-12-11T06:17:23.282089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 7715
 
12.9%
원 7372
 
12.3%
과 5180
 
8.7%
소 1392
 
2.3%
정 1257
 
2.1%
이 1239
 
2.1%
인 1167
 
1.9%
내 1116
 
1.9%
아 945
 
1.6%
비 912
 
1.5%
Other values (595) 31585
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59100
98.7%
Decimal Number 294
 
0.5%
Space Separator 232
 
0.4%
Uppercase Letter 112
 
0.2%
Close Punctuation 46
 
0.1%
Open Punctuation 43
 
0.1%
Lowercase Letter 30
 
0.1%
Other Punctuation 20
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 7715
 
13.1%
원 7372
 
12.5%
과 5180
 
8.8%
소 1392
 
2.4%
정 1257
 
2.1%
이 1239
 
2.1%
인 1167
 
2.0%
내 1116
 
1.9%
아 945
 
1.6%
비 912
 
1.5%
Other values (548) 30805
52.1%
Uppercase Letter
ValueCountFrequency (%)
S 19
17.0%
W 10
 
8.9%
J 9
 
8.0%
K 8
 
7.1%
C 8
 
7.1%
M 7
 
6.2%
N 7
 
6.2%
D 6
 
5.4%
Y 5
 
4.5%
L 5
 
4.5%
Other values (10) 28
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
26.7%
i 5
16.7%
r 3
 
10.0%
h 3
 
10.0%
s 3
 
10.0%
c 2
 
6.7%
n 2
 
6.7%
o 1
 
3.3%
l 1
 
3.3%
d 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
3 77
26.2%
5 77
26.2%
6 74
25.2%
2 28
 
9.5%
1 27
 
9.2%
8 9
 
3.1%
4 1
 
0.3%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 12
60.0%
. 6
30.0%
· 2
 
10.0%
Space Separator
ValueCountFrequency (%)
232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59100
98.7%
Common 637
 
1.1%
Latin 142
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 7715
 
13.1%
원 7372
 
12.5%
과 5180
 
8.8%
소 1392
 
2.4%
정 1257
 
2.1%
이 1239
 
2.1%
인 1167
 
2.0%
내 1116
 
1.9%
아 945
 
1.6%
비 912
 
1.5%
Other values (548) 30805
52.1%
Latin
ValueCountFrequency (%)
S 19
 
13.4%
W 10
 
7.0%
J 9
 
6.3%
K 8
 
5.6%
C 8
 
5.6%
e 8
 
5.6%
M 7
 
4.9%
N 7
 
4.9%
D 6
 
4.2%
Y 5
 
3.5%
Other values (21) 55
38.7%
Common
ValueCountFrequency (%)
232
36.4%
3 77
 
12.1%
5 77
 
12.1%
6 74
 
11.6%
) 46
 
7.2%
( 43
 
6.8%
2 28
 
4.4%
1 27
 
4.2%
& 12
 
1.9%
8 9
 
1.4%
Other values (5) 12
 
1.9%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59099
98.7%
ASCII 777
 
1.3%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 7715
 
13.1%
원 7372
 
12.5%
과 5180
 
8.8%
소 1392
 
2.4%
정 1257
 
2.1%
이 1239
 
2.1%
인 1167
 
2.0%
내 1116
 
1.9%
아 945
 
1.6%
비 912
 
1.5%
Other values (547) 30804
52.1%
ASCII
ValueCountFrequency (%)
232
29.9%
3 77
 
9.9%
5 77
 
9.9%
6 74
 
9.5%
) 46
 
5.9%
( 43
 
5.5%
2 28
 
3.6%
1 27
 
3.5%
S 19
 
2.4%
& 12
 
1.5%
Other values (35) 142
18.3%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%
CJK
ValueCountFrequency (%)
美 1
100.0%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
약품목수
7276 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약품목수 7276
100.0%

Length

2023-12-11T06:17:23.516470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:17:23.600601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약품목수 7276
100.0%

평가등급
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
3등급
1548 
2등급
1455 
1등급
1423 
5등급
1413 
4등급
1360 

Length

Max length4
Median length3
Mean length3.0105827
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1등급
2nd row1등급
3rd row1등급
4th row1등급
5th row1등급

Common Values

ValueCountFrequency (%)
3등급 1548
21.3%
2등급 1455
20.0%
1등급 1423
19.6%
5등급 1413
19.4%
4등급 1360
18.7%
등급제외 77
 
1.1%

Length

2023-12-11T06:17:23.707481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:17:23.810837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3등급 1548
21.3%
2등급 1455
20.0%
1등급 1423
19.6%
5등급 1413
19.4%
4등급 1360
18.7%
등급제외 77
 
1.1%

소재지도로명주소
Text

MISSING 

Distinct4613
Distinct (%)64.2%
Missing92
Missing (%)1.3%
Memory size57.0 KiB
2023-12-11T06:17:24.054363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length18.424137
Min length13

Characters and Unicode

Total characters132359
Distinct characters330
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

Unique3380 ?
Unique (%)47.0%

Sample

1st row경기도 성남시 수정구 수정로 185
2nd row경기도 이천시 설봉로 7
3rd row경기도 안산시 상록구 용신로 352
4th row경기도 성남시 분당구 분당로53번길 22
5th row경기도 수원시 권선구 동수원로 232
ValueCountFrequency (%)
경기도 7184
 
21.9%
성남시 786
 
2.4%
수원시 720
 
2.2%
고양시 564
 
1.7%
부천시 497
 
1.5%
용인시 497
 
1.5%
분당구 431
 
1.3%
화성시 364
 
1.1%
안양시 358
 
1.1%
안산시 353
 
1.1%
Other values (3045) 21049
64.2%
2023-12-11T06:17:24.480977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25619
19.4%
시 7501
 
5.7%
경 7488
 
5.7%
기 7470
 
5.6%
도 7329
 
5.5%
로 6982
 
5.3%
1 4460
 
3.4%
구 3501
 
2.6%
2 3263
 
2.5%
3 2573
 
1.9%
Other values (320) 56173
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83958
63.4%
Space Separator 25619
 
19.4%
Decimal Number 22190
 
16.8%
Dash Punctuation 589
 
0.4%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7501
 
8.9%
경 7488
 
8.9%
기 7470
 
8.9%
도 7329
 
8.7%
로 6982
 
8.3%
구 3501
 
4.2%
양 1893
 
2.3%
남 1624
 
1.9%
안 1623
 
1.9%
성 1600
 
1.9%
Other values (307) 36947
44.0%
Decimal Number
ValueCountFrequency (%)
1 4460
20.1%
2 3263
14.7%
3 2573
11.6%
5 1905
8.6%
4 1775
 
8.0%
7 1734
 
7.8%
0 1729
 
7.8%
6 1677
 
7.6%
8 1580
 
7.1%
9 1494
 
6.7%
Space Separator
ValueCountFrequency (%)
25619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 589
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83958
63.4%
Common 48401
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7501
 
8.9%
경 7488
 
8.9%
기 7470
 
8.9%
도 7329
 
8.7%
로 6982
 
8.3%
구 3501
 
4.2%
양 1893
 
2.3%
남 1624
 
1.9%
안 1623
 
1.9%
성 1600
 
1.9%
Other values (307) 36947
44.0%
Common
ValueCountFrequency (%)
25619
52.9%
1 4460
 
9.2%
2 3263
 
6.7%
3 2573
 
5.3%
5 1905
 
3.9%
4 1775
 
3.7%
7 1734
 
3.6%
0 1729
 
3.6%
6 1677
 
3.5%
8 1580
 
3.3%
Other values (3) 2086
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83958
63.4%
ASCII 48401
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25619
52.9%
1 4460
 
9.2%
2 3263
 
6.7%
3 2573
 
5.3%
5 1905
 
3.9%
4 1775
 
3.7%
7 1734
 
3.6%
0 1729
 
3.6%
6 1677
 
3.5%
8 1580
 
3.3%
Other values (3) 2086
 
4.3%
Hangul
ValueCountFrequency (%)
시 7501
 
8.9%
경 7488
 
8.9%
기 7470
 
8.9%
도 7329
 
8.7%
로 6982
 
8.3%
구 3501
 
4.2%
양 1893
 
2.3%
남 1624
 
1.9%
안 1623
 
1.9%
성 1600
 
1.9%
Other values (307) 36947
44.0%

소재지지번주소
Text

Distinct7126
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
2023-12-11T06:17:24.820006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length65
Mean length30.685404
Min length14

Characters and Unicode

Total characters223267
Distinct characters586
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7000 ?
Unique (%)96.2%

Sample

1st row경기도 성남시 수정구 태평동 7288-17번지 6층
2nd row경기도 이천시 관고동 504-6번지 4층
3rd row경기도 안산시 상록구 본오동 878-3번지 목화웨딩홀
4th row경기도 성남시 분당구 서현동 268-1번지 블루홀빌딩 4층
5th row경기도 수원시 권선구 권선동 1296-5번지 센터블스파 1~2층
ValueCountFrequency (%)
경기도 7276
 
16.0%
2층 899
 
2.0%
성남시 788
 
1.7%
3층 742
 
1.6%
수원시 729
 
1.6%
고양시 575
 
1.3%
용인시 506
 
1.1%
부천시 504
 
1.1%
4층 433
 
1.0%
분당구 432
 
0.9%
Other values (8751) 32604
71.7%
2023-12-11T06:17:25.566249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38212
 
17.1%
1 8419
 
3.8%
지 7862
 
3.5%
시 7584
 
3.4%
기 7579
 
3.4%
동 7565
 
3.4%
도 7445
 
3.3%
경 7373
 
3.3%
번 7268
 
3.3%
0 6947
 
3.1%
Other values (576) 117013
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126489
56.7%
Decimal Number 49510
 
22.2%
Space Separator 38212
 
17.1%
Dash Punctuation 5606
 
2.5%
Other Punctuation 1898
 
0.9%
Uppercase Letter 641
 
0.3%
Math Symbol 615
 
0.3%
Open Punctuation 105
 
< 0.1%
Close Punctuation 104
 
< 0.1%
Lowercase Letter 70
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7862
 
6.2%
시 7584
 
6.0%
기 7579
 
6.0%
동 7565
 
6.0%
도 7445
 
5.9%
경 7373
 
5.8%
번 7268
 
5.7%
호 4173
 
3.3%
구 3619
 
2.9%
층 3329
 
2.6%
Other values (509) 62692
49.6%
Uppercase Letter
ValueCountFrequency (%)
A 107
16.7%
B 102
15.9%
C 55
 
8.6%
S 49
 
7.6%
M 35
 
5.5%
I 30
 
4.7%
R 27
 
4.2%
T 24
 
3.7%
K 20
 
3.1%
L 20
 
3.1%
Other values (15) 172
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 24
34.3%
l 7
 
10.0%
o 6
 
8.6%
t 6
 
8.6%
s 5
 
7.1%
w 4
 
5.7%
r 4
 
5.7%
c 3
 
4.3%
n 2
 
2.9%
m 2
 
2.9%
Other values (5) 7
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 8419
17.0%
0 6947
14.0%
2 6918
14.0%
3 6743
13.6%
4 5105
10.3%
5 4270
8.6%
6 3369
6.8%
7 2869
 
5.8%
8 2604
 
5.3%
9 2266
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 1795
94.6%
. 77
 
4.1%
/ 16
 
0.8%
& 6
 
0.3%
: 2
 
0.1%
· 1
 
0.1%
@ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 8
47.1%
Ⅱ 5
29.4%
Ⅰ 2
 
11.8%
Ⅳ 2
 
11.8%
Math Symbol
ValueCountFrequency (%)
~ 614
99.8%
∥ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
38212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126489
56.7%
Common 96050
43.0%
Latin 728
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7862
 
6.2%
시 7584
 
6.0%
기 7579
 
6.0%
동 7565
 
6.0%
도 7445
 
5.9%
경 7373
 
5.8%
번 7268
 
5.7%
호 4173
 
3.3%
구 3619
 
2.9%
층 3329
 
2.6%
Other values (509) 62692
49.6%
Latin
ValueCountFrequency (%)
A 107
14.7%
B 102
 
14.0%
C 55
 
7.6%
S 49
 
6.7%
M 35
 
4.8%
I 30
 
4.1%
R 27
 
3.7%
T 24
 
3.3%
e 24
 
3.3%
K 20
 
2.7%
Other values (34) 255
35.0%
Common
ValueCountFrequency (%)
38212
39.8%
1 8419
 
8.8%
0 6947
 
7.2%
2 6918
 
7.2%
3 6743
 
7.0%
- 5606
 
5.8%
4 5105
 
5.3%
5 4270
 
4.4%
6 3369
 
3.5%
7 2869
 
3.0%
Other values (13) 7592
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126488
56.7%
ASCII 96759
43.3%
Number Forms 17
 
< 0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38212
39.5%
1 8419
 
8.7%
0 6947
 
7.2%
2 6918
 
7.1%
3 6743
 
7.0%
- 5606
 
5.8%
4 5105
 
5.3%
5 4270
 
4.4%
6 3369
 
3.5%
7 2869
 
3.0%
Other values (51) 8301
 
8.6%
Hangul
ValueCountFrequency (%)
지 7862
 
6.2%
시 7584
 
6.0%
기 7579
 
6.0%
동 7565
 
6.0%
도 7445
 
5.9%
경 7373
 
5.8%
번 7268
 
5.7%
호 4173
 
3.3%
구 3619
 
2.9%
층 3329
 
2.6%
Other values (508) 62691
49.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 8
47.1%
Ⅱ 5
29.4%
Ⅰ 2
 
11.8%
Ⅳ 2
 
11.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1946
Distinct (%)26.8%
Missing11
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean14258.052
Minimum10011
Maximum18616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.1 KiB
2023-12-11T06:17:25.729260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10347.6
Q112165
median14236
Q316485
95-th percentile18244
Maximum18616
Range8605
Interquartile range (IQR)4320

Descriptive statistics

Standard deviation2464.2035
Coefficient of variation (CV)0.1728289
Kurtosis-1.0912407
Mean14258.052
Median Absolute Deviation (MAD)2166
Skewness-0.025443131
Sum1.0358475 × 108
Variance6072298.9
MonotonicityNot monotonic
2023-12-11T06:17:25.865243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 52
 
0.7%
14072 43
 
0.6%
10386 40
 
0.5%
13591 39
 
0.5%
15360 38
 
0.5%
10071 35
 
0.5%
13618 34
 
0.5%
10500 34
 
0.5%
17909 32
 
0.4%
12913 32
 
0.4%
Other values (1936) 6886
94.6%
ValueCountFrequency (%)
10011 3
< 0.1%
10018 6
0.1%
10019 4
0.1%
10031 2
 
< 0.1%
10039 1
 
< 0.1%
10040 2
 
< 0.1%
10048 1
 
< 0.1%
10059 6
0.1%
10060 4
0.1%
10062 1
 
< 0.1%
ValueCountFrequency (%)
18616 1
 
< 0.1%
18611 10
0.1%
18606 2
 
< 0.1%
18600 13
0.2%
18598 5
 
0.1%
18596 1
 
< 0.1%
18594 1
 
< 0.1%
18593 6
0.1%
18592 2
 
< 0.1%
18591 4
 
0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct4672
Distinct (%)64.4%
Missing22
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean37.43386
Minimum36.957641
Maximum38.101663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.1 KiB
2023-12-11T06:17:25.998360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.957641
5-th percentile37.115115
Q137.29391
median37.400613
Q337.605044
95-th percentile37.75176
Maximum38.101663
Range1.144022
Interquartile range (IQR)0.31113319

Descriptive statistics

Standard deviation0.20223933
Coefficient of variation (CV)0.0054025775
Kurtosis-0.28370471
Mean37.43386
Median Absolute Deviation (MAD)0.12536538
Skewness0.16897602
Sum271545.22
Variance0.040900748
MonotonicityNot monotonic
2023-12-11T06:17:26.214568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4105911732 15
 
0.2%
37.4727049587 14
 
0.2%
37.3895629286 13
 
0.2%
37.3508865176 12
 
0.2%
37.3449788088 11
 
0.2%
37.2451623291 11
 
0.2%
37.5051300224 11
 
0.2%
37.2520691395 11
 
0.2%
37.2538663614 10
 
0.1%
37.5052690319 10
 
0.1%
Other values (4662) 7136
98.1%
(Missing) 22
 
0.3%
ValueCountFrequency (%)
36.9576412931 1
< 0.1%
36.9608455198 1
< 0.1%
36.9609553206 1
< 0.1%
36.9611007482 1
< 0.1%
36.9614956154 1
< 0.1%
36.9632453036 1
< 0.1%
36.9636418107 1
< 0.1%
36.9644052069 1
< 0.1%
36.9647315893 1
< 0.1%
36.9772202616 1
< 0.1%
ValueCountFrequency (%)
38.1016632559 1
< 0.1%
38.1006166517 1
< 0.1%
38.0991918519 1
< 0.1%
38.0910739209 1
< 0.1%
38.0905784202 1
< 0.1%
38.0903278355 1
< 0.1%
38.0898836317 1
< 0.1%
38.089292204 1
< 0.1%
38.0350477269 1
< 0.1%
38.0301930006 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct4672
Distinct (%)64.4%
Missing22
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean127.00404
Minimum126.58254
Maximum127.75346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.1 KiB
2023-12-11T06:17:26.348270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58254
5-th percentile126.74359
Q1126.8356
median127.03637
Q3127.12274
95-th percentile127.26994
Maximum127.75346
Range1.1709213
Interquartile range (IQR)0.28713481

Descriptive statistics

Standard deviation0.1858935
Coefficient of variation (CV)0.0014636818
Kurtosis0.47500028
Mean127.00404
Median Absolute Deviation (MAD)0.11573429
Skewness0.43154367
Sum921287.31
Variance0.034556393
MonotonicityNot monotonic
2023-12-11T06:17:26.530751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1282185032 15
 
0.2%
127.1429411379 14
 
0.2%
126.9522508622 13
 
0.2%
127.109487783 12
 
0.2%
126.7384940896 11
 
0.2%
127.0558002667 11
 
0.2%
126.7537281611 11
 
0.2%
127.0710390017 11
 
0.2%
127.0744906955 10
 
0.1%
126.7629477158 10
 
0.1%
Other values (4662) 7136
98.1%
(Missing) 22
 
0.3%
ValueCountFrequency (%)
126.5825369936 1
< 0.1%
126.5825555862 1
< 0.1%
126.5833826942 1
< 0.1%
126.5843682181 1
< 0.1%
126.5856069357 1
< 0.1%
126.5856269206 1
< 0.1%
126.5973003937 1
< 0.1%
126.5976057487 2
< 0.1%
126.5978618162 1
< 0.1%
126.5982817262 1
< 0.1%
ValueCountFrequency (%)
127.7534583305 1
< 0.1%
127.7511801375 1
< 0.1%
127.7021476459 1
< 0.1%
127.6803053266 1
< 0.1%
127.6691950314 1
< 0.1%
127.6686207363 1
< 0.1%
127.6624147091 1
< 0.1%
127.6615576994 1
< 0.1%
127.6439730063 1
< 0.1%
127.6425252062 1
< 0.1%

Interactions

2023-12-11T06:17:22.154223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:21.635666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:21.904210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:22.227601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:21.730326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:21.989658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:22.304591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:21.817748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:22.069577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:17:26.658172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급소재지우편번호WGS84위도WGS84경도
시군명1.0000.1680.9910.9720.946
평가등급0.1681.0000.1260.0920.090
소재지우편번호0.9910.1261.0000.9180.862
WGS84위도0.9720.0920.9181.0000.642
WGS84경도0.9460.0900.8620.6421.000
2023-12-11T06:17:26.761551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급
시군명1.0000.074
평가등급0.0741.000
2023-12-11T06:17:26.859608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9120.1440.9250.066
WGS84위도-0.9121.000-0.2020.8200.048
WGS84경도0.144-0.2021.0000.7190.047
시군명0.9250.8200.7191.0000.074
평가등급0.0660.0480.0470.0741.000

Missing values

2023-12-11T06:17:22.425659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:17:22.562722image/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.
2023-12-11T06:17:22.661555image/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

시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0성남시(의) 열린의료재단 성남열린의원약품목수1등급경기도 성남시 수정구 수정로 185경기도 성남시 수정구 태평동 7288-17번지 6층1329037.443782127.140478
1이천시(의) 열린의료재단 이천열린의원약품목수1등급경기도 이천시 설봉로 7경기도 이천시 관고동 504-6번지 4층1736737.277329127.43682
2안산시(의)대선의료재단으뜸요양병원약품목수1등급경기도 안산시 상록구 용신로 352경기도 안산시 상록구 본오동 878-3번지 목화웨딩홀1553737.301537126.861155
3성남시(의)열린의료재단 분당열린의원약품목수1등급경기도 성남시 분당구 분당로53번길 22경기도 성남시 분당구 서현동 268-1번지 블루홀빌딩 4층1359137.384272127.12287
4수원시(재)한국의학연구소 KMI경기의원약품목수1등급경기도 수원시 권선구 동수원로 232경기도 수원시 권선구 권선동 1296-5번지 센터블스파 1~2층1655337.250255127.034696
5성남시21세기미금의원약품목수1등급경기도 성남시 분당구 성남대로 168경기도 성남시 분당구 금곡동 158번지 미도프라자 801~803호1361837.350887127.109488
6수원시21세기외과의원약품목수1등급경기도 수원시 영통구 중부대로 288경기도 수원시 영통구 매탄동 127-27번지1653137.273478127.047028
7남양주시21세기힘찬정형외과의원약품목수1등급경기도 남양주시 퇴계원읍 퇴계원로 93경기도 남양주시 퇴계원읍 퇴계원리 90번지 도심빌딩 1~4층1212037.654871127.143975
8수원시JY피부과의원약품목수1등급경기도 수원시 장안구 경수대로 940경기도 수원시 장안구 조원동 894번지 일호골든타워1629537.303149127.008056
9이천시SK 하이스텍(주)부속의원약품목수1등급경기도 이천시 부발읍 경충대로 2091경기도 이천시 부발읍 아미리 712-7번지 에스케이하이닉스 2091호1733637.25298127.480683
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
7266의정부시의정부시보건소약품목수4등급경기도 의정부시 범골로 131경기도 의정부시 의정부동 516번지1164937.736144127.039582
7267의정부시의정부요양병원약품목수4등급경기도 의정부시 체육로 113-18경기도 의정부시 녹양동 321-3번지1160137.757427127.022228
7268성남시이경미산부인과의원약품목수4등급경기도 성남시 분당구 서현로210번길 14경기도 성남시 분당구 서현동 248-3번지 유성트윈프라자2차 305,306호1359137.386234127.124588
7269성남시이과수비뇨기과의원약품목수4등급경기도 성남시 분당구 성남대로926번길 6경기도 성남시 분당구 야탑동 361-5번지 야탑대덕프라자 604호1350637.412192127.129883
7270성남시이광우신경과의원약품목수4등급경기도 성남시 중원구 둔촌대로 84경기도 성남시 중원구 성남동 4943번지 708,709호1338337.429728127.128531
7271과천시이내과의원약품목수4등급경기도 과천시 별양로 182-2경기도 과천시 부림동 46번지 시대빌딩 2층 203~204호1383137.434096126.998158
7272수원시이담소아청소년과의원약품목수4등급경기도 수원시 권선구 세류로34번길 6경기도 수원시 권선구 세류동 339-1번지 2층1659337.261774127.007604
7273평택시이동훈내과의원약품목수4등급경기도 평택시 서정역로 42경기도 평택시 서정동 328-2번지1777937.057903127.055758
7274수원시이득기산부인과의원약품목수4등급경기도 수원시 팔달구 권광로 184경기도 수원시 팔달구 인계동 1120번지 캐슬타워 305호1648837.263914127.033157
7275하남시이룬의원약품목수4등급경기도 하남시 미사강변동로 79경기도 하남시 망월동 1116-1번지 미사역타워 1104,1105,1106호1291337.562044127.1928