Overview

Dataset statistics

Number of variables9
Number of observations5328
Missing cells181
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory390.4 KiB
Average record size in memory75.0 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(약-항생제) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YQ76T62AD5MJY6GR6P6821331234&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 96 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:13:34.728777
Analysis finished2023-12-10 21:13:37.387211
Duration2.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size41.8 KiB
성남시
559 
수원시
541 
고양시
416 
부천시
386 
용인시
370 
Other values (26)
3056 

Length

Max length4
Median length3
Mean length3.0910285
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용인시
2nd row용인시
3rd row성남시
4th row수원시
5th row부천시

Common Values

ValueCountFrequency (%)
성남시 559
 
10.5%
수원시 541
 
10.2%
고양시 416
 
7.8%
부천시 386
 
7.2%
용인시 370
 
6.9%
안양시 287
 
5.4%
안산시 283
 
5.3%
남양주시 244
 
4.6%
화성시 237
 
4.4%
의정부시 207
 
3.9%
Other values (21) 1798
33.7%

Length

2023-12-11T06:13:37.464570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 559
 
10.5%
수원시 541
 
10.2%
고양시 416
 
7.8%
부천시 386
 
7.2%
용인시 370
 
6.9%
안양시 287
 
5.4%
안산시 283
 
5.3%
남양주시 244
 
4.6%
화성시 237
 
4.4%
의정부시 207
 
3.9%
Other values (21) 1798
33.7%

기관명
Text

Distinct4262
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size41.8 KiB
2023-12-11T06:13:37.692958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length8.0679429
Min length3

Characters and Unicode

Total characters42986
Distinct characters548
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

Unique3798 ?
Unique (%)71.3%

Sample

1st row수지정형외과의원
2nd row수지중앙내과의원
3rd row수진비너스의원
4th row순여성의원
5th row순천향대학교부속부천병원
ValueCountFrequency (%)
연세이비인후과의원 17
 
0.3%
서울이비인후과의원 15
 
0.3%
상쾌한이비인후과의원 14
 
0.3%
의료법인 14
 
0.3%
의원 14
 
0.3%
연세내과의원 13
 
0.2%
서울내과의원 13
 
0.2%
연세가정의학과의원 12
 
0.2%
서울정형외과의원 12
 
0.2%
서울의원 12
 
0.2%
Other values (4314) 5304
97.5%
2023-12-11T06:13:38.083015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 5647
 
13.1%
원 5456
 
12.7%
과 3779
 
8.8%
소 1233
 
2.9%
이 1013
 
2.4%
인 954
 
2.2%
내 946
 
2.2%
아 843
 
2.0%
정 824
 
1.9%
비 751
 
1.7%
Other values (538) 21540
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42549
99.0%
Decimal Number 174
 
0.4%
Space Separator 113
 
0.3%
Uppercase Letter 71
 
0.2%
Close Punctuation 27
 
0.1%
Open Punctuation 23
 
0.1%
Other Punctuation 16
 
< 0.1%
Lowercase Letter 10
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 5647
 
13.3%
원 5456
 
12.8%
과 3779
 
8.9%
소 1233
 
2.9%
이 1013
 
2.4%
인 954
 
2.2%
내 946
 
2.2%
아 843
 
2.0%
정 824
 
1.9%
비 751
 
1.8%
Other values (500) 21103
49.6%
Uppercase Letter
ValueCountFrequency (%)
S 15
21.1%
K 9
12.7%
M 7
9.9%
D 6
 
8.5%
J 4
 
5.6%
C 4
 
5.6%
N 3
 
4.2%
L 3
 
4.2%
O 3
 
4.2%
H 3
 
4.2%
Other values (8) 14
19.7%
Decimal Number
ValueCountFrequency (%)
3 41
23.6%
5 40
23.0%
6 38
21.8%
1 25
14.4%
2 24
13.8%
8 5
 
2.9%
9 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
i 2
20.0%
r 2
20.0%
h 1
 
10.0%
s 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 10
62.5%
. 5
31.2%
· 1
 
6.2%
Space Separator
ValueCountFrequency (%)
113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42549
99.0%
Common 355
 
0.8%
Latin 81
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 5647
 
13.3%
원 5456
 
12.8%
과 3779
 
8.9%
소 1233
 
2.9%
이 1013
 
2.4%
인 954
 
2.2%
내 946
 
2.2%
아 843
 
2.0%
정 824
 
1.9%
비 751
 
1.8%
Other values (500) 21103
49.6%
Latin
ValueCountFrequency (%)
S 15
18.5%
K 9
 
11.1%
M 7
 
8.6%
D 6
 
7.4%
J 4
 
4.9%
e 4
 
4.9%
C 4
 
4.9%
N 3
 
3.7%
L 3
 
3.7%
O 3
 
3.7%
Other values (13) 23
28.4%
Common
ValueCountFrequency (%)
113
31.8%
3 41
 
11.5%
5 40
 
11.3%
6 38
 
10.7%
) 27
 
7.6%
1 25
 
7.0%
2 24
 
6.8%
( 23
 
6.5%
& 10
 
2.8%
. 5
 
1.4%
Other values (4) 9
 
2.5%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42548
99.0%
ASCII 435
 
1.0%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 5647
 
13.3%
원 5456
 
12.8%
과 3779
 
8.9%
소 1233
 
2.9%
이 1013
 
2.4%
인 954
 
2.2%
내 946
 
2.2%
아 843
 
2.0%
정 824
 
1.9%
비 751
 
1.8%
Other values (499) 21102
49.6%
ASCII
ValueCountFrequency (%)
113
26.0%
3 41
 
9.4%
5 40
 
9.2%
6 38
 
8.7%
) 27
 
6.2%
1 25
 
5.7%
2 24
 
5.5%
( 23
 
5.3%
S 15
 
3.4%
& 10
 
2.3%
Other values (26) 79
18.2%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.8 KiB
항생제
5328 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
항생제 5328
100.0%

Length

2023-12-11T06:13:38.240086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:13:38.343335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
항생제 5328
100.0%

평가등급
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.8 KiB
등급제외
1842 
1등급
1444 
2등급
535 
3등급
520 
4등급
511 

Length

Max length4
Median length3
Mean length3.3457207
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등급제외 1842
34.6%
1등급 1444
27.1%
2등급 535
 
10.0%
3등급 520
 
9.8%
4등급 511
 
9.6%
5등급 476
 
8.9%

Length

2023-12-11T06:13:38.445848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:13:38.558190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등급제외 1842
34.6%
1등급 1444
27.1%
2등급 535
 
10.0%
3등급 520
 
9.8%
4등급 511
 
9.6%
5등급 476
 
8.9%

소재지도로명주소
Text

MISSING 

Distinct3784
Distinct (%)72.3%
Missing96
Missing (%)1.8%
Memory size41.8 KiB
2023-12-11T06:13:38.937744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.37672
Min length13

Characters and Unicode

Total characters96147
Distinct characters317
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

Unique2933 ?
Unique (%)56.1%

Sample

1st row경기도 용인시 수지구 수지로296번길 47
2nd row경기도 용인시 수지구 풍덕천로 119
3rd row경기도 성남시 수정구 산성대로 193
4th row경기도 수원시 장안구 정자천로173번길 11-17
5th row경기도 부천시 조마루로 170
ValueCountFrequency (%)
경기도 5232
 
21.9%
성남시 558
 
2.3%
수원시 528
 
2.2%
고양시 408
 
1.7%
부천시 379
 
1.6%
용인시 360
 
1.5%
분당구 285
 
1.2%
안산시 278
 
1.2%
안양시 277
 
1.2%
남양주시 239
 
1.0%
Other values (2638) 15398
64.3%
2023-12-11T06:13:39.492455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18710
19.5%
경 5458
 
5.7%
시 5437
 
5.7%
기 5422
 
5.6%
도 5358
 
5.6%
로 5085
 
5.3%
1 3240
 
3.4%
구 2593
 
2.7%
2 2297
 
2.4%
3 1868
 
1.9%
Other values (307) 40679
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60988
63.4%
Space Separator 18710
 
19.5%
Decimal Number 16034
 
16.7%
Dash Punctuation 414
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 5458
 
8.9%
시 5437
 
8.9%
기 5422
 
8.9%
도 5358
 
8.8%
로 5085
 
8.3%
구 2593
 
4.3%
양 1398
 
2.3%
안 1261
 
2.1%
남 1133
 
1.9%
성 1114
 
1.8%
Other values (294) 26729
43.8%
Decimal Number
ValueCountFrequency (%)
1 3240
20.2%
2 2297
14.3%
3 1868
11.7%
5 1334
8.3%
4 1323
8.3%
6 1262
 
7.9%
7 1246
 
7.8%
0 1204
 
7.5%
8 1186
 
7.4%
9 1074
 
6.7%
Space Separator
ValueCountFrequency (%)
18710
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 414
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60988
63.4%
Common 35159
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 5458
 
8.9%
시 5437
 
8.9%
기 5422
 
8.9%
도 5358
 
8.8%
로 5085
 
8.3%
구 2593
 
4.3%
양 1398
 
2.3%
안 1261
 
2.1%
남 1133
 
1.9%
성 1114
 
1.8%
Other values (294) 26729
43.8%
Common
ValueCountFrequency (%)
18710
53.2%
1 3240
 
9.2%
2 2297
 
6.5%
3 1868
 
5.3%
5 1334
 
3.8%
4 1323
 
3.8%
6 1262
 
3.6%
7 1246
 
3.5%
0 1204
 
3.4%
8 1186
 
3.4%
Other values (3) 1489
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60988
63.4%
ASCII 35159
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18710
53.2%
1 3240
 
9.2%
2 2297
 
6.5%
3 1868
 
5.3%
5 1334
 
3.8%
4 1323
 
3.8%
6 1262
 
3.6%
7 1246
 
3.5%
0 1204
 
3.4%
8 1186
 
3.4%
Other values (3) 1489
 
4.2%
Hangul
ValueCountFrequency (%)
경 5458
 
8.9%
시 5437
 
8.9%
기 5422
 
8.9%
도 5358
 
8.8%
로 5085
 
8.3%
구 2593
 
4.3%
양 1398
 
2.3%
안 1261
 
2.1%
남 1133
 
1.9%
성 1114
 
1.8%
Other values (294) 26729
43.8%

소재지지번주소
Text

Distinct5240
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size41.8 KiB
2023-12-11T06:13:39.834763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length29.764452
Min length14

Characters and Unicode

Total characters158585
Distinct characters552
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

Unique5159 ?
Unique (%)96.8%

Sample

1st row경기도 용인시 수지구 풍덕천동 1080-1번지 수석빌딩 402호,403호
2nd row경기도 용인시 수지구 풍덕천동 1078번지 로얄스포츠센터 3층 303호
3rd row경기도 성남시 수정구 수진동 2193번지 2층
4th row경기도 수원시 장안구 정자동 878-9번지
5th row경기도 부천시 중동 1174번지
ValueCountFrequency (%)
경기도 5328
 
16.4%
2층 715
 
2.2%
성남시 559
 
1.7%
수원시 541
 
1.7%
3층 489
 
1.5%
고양시 416
 
1.3%
부천시 386
 
1.2%
용인시 370
 
1.1%
안양시 287
 
0.9%
분당구 286
 
0.9%
Other values (6980) 23175
71.2%
2023-12-11T06:13:40.359024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27224
 
17.2%
1 5823
 
3.7%
지 5734
 
3.6%
기 5539
 
3.5%
시 5488
 
3.5%
동 5483
 
3.5%
도 5458
 
3.4%
경 5396
 
3.4%
번 5309
 
3.3%
2 4991
 
3.1%
Other values (542) 82140
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90853
57.3%
Decimal Number 34371
 
21.7%
Space Separator 27224
 
17.2%
Dash Punctuation 4145
 
2.6%
Other Punctuation 1135
 
0.7%
Uppercase Letter 341
 
0.2%
Math Symbol 303
 
0.2%
Open Punctuation 95
 
0.1%
Close Punctuation 94
 
0.1%
Lowercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5734
 
6.3%
기 5539
 
6.1%
시 5488
 
6.0%
동 5483
 
6.0%
도 5458
 
6.0%
경 5396
 
5.9%
번 5309
 
5.8%
호 2749
 
3.0%
구 2674
 
2.9%
층 2284
 
2.5%
Other values (484) 44739
49.2%
Uppercase Letter
ValueCountFrequency (%)
A 55
16.1%
B 47
13.8%
C 32
 
9.4%
S 30
 
8.8%
M 18
 
5.3%
R 17
 
5.0%
K 15
 
4.4%
I 13
 
3.8%
H 12
 
3.5%
D 11
 
3.2%
Other values (15) 91
26.7%
Decimal Number
ValueCountFrequency (%)
1 5823
16.9%
2 4991
14.5%
3 4717
13.7%
0 4623
13.5%
4 3510
10.2%
5 2871
8.4%
6 2269
 
6.6%
7 2044
 
5.9%
8 1886
 
5.5%
9 1637
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
35.0%
o 2
 
10.0%
n 2
 
10.0%
l 2
 
10.0%
p 2
 
10.0%
a 1
 
5.0%
m 1
 
5.0%
c 1
 
5.0%
k 1
 
5.0%
t 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1046
92.2%
. 71
 
6.3%
/ 10
 
0.9%
& 6
 
0.5%
@ 1
 
0.1%
: 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅱ 2
50.0%
Space Separator
ValueCountFrequency (%)
27224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4145
100.0%
Math Symbol
ValueCountFrequency (%)
~ 303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90853
57.3%
Common 67367
42.5%
Latin 365
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5734
 
6.3%
기 5539
 
6.1%
시 5488
 
6.0%
동 5483
 
6.0%
도 5458
 
6.0%
경 5396
 
5.9%
번 5309
 
5.8%
호 2749
 
3.0%
구 2674
 
2.9%
층 2284
 
2.5%
Other values (484) 44739
49.2%
Latin
ValueCountFrequency (%)
A 55
15.1%
B 47
12.9%
C 32
 
8.8%
S 30
 
8.2%
M 18
 
4.9%
R 17
 
4.7%
K 15
 
4.1%
I 13
 
3.6%
H 12
 
3.3%
D 11
 
3.0%
Other values (27) 115
31.5%
Common
ValueCountFrequency (%)
27224
40.4%
1 5823
 
8.6%
2 4991
 
7.4%
3 4717
 
7.0%
0 4623
 
6.9%
- 4145
 
6.2%
4 3510
 
5.2%
5 2871
 
4.3%
6 2269
 
3.4%
7 2044
 
3.0%
Other values (11) 5150
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90853
57.3%
ASCII 67728
42.7%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27224
40.2%
1 5823
 
8.6%
2 4991
 
7.4%
3 4717
 
7.0%
0 4623
 
6.8%
- 4145
 
6.1%
4 3510
 
5.2%
5 2871
 
4.2%
6 2269
 
3.4%
7 2044
 
3.0%
Other values (46) 5511
 
8.1%
Hangul
ValueCountFrequency (%)
지 5734
 
6.3%
기 5539
 
6.1%
시 5488
 
6.0%
동 5483
 
6.0%
도 5458
 
6.0%
경 5396
 
5.9%
번 5309
 
5.8%
호 2749
 
3.0%
구 2674
 
2.9%
층 2284
 
2.5%
Other values (484) 44739
49.2%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅱ 2
50.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1781
Distinct (%)33.5%
Missing15
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14251.895
Minimum10011
Maximum18616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.0 KiB
2023-12-11T06:13:40.560397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10344.2
Q112150
median14245
Q316463
95-th percentile18138
Maximum18616
Range8605
Interquartile range (IQR)4313

Descriptive statistics

Standard deviation2451.6002
Coefficient of variation (CV)0.17201924
Kurtosis-1.0966712
Mean14251.895
Median Absolute Deviation (MAD)2174
Skewness-0.037803984
Sum75720319
Variance6010343.5
MonotonicityNot monotonic
2023-12-11T06:13:40.765957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 27
 
0.5%
10386 25
 
0.5%
14072 25
 
0.5%
13618 23
 
0.4%
13591 22
 
0.4%
17051 22
 
0.4%
15360 22
 
0.4%
15239 22
 
0.4%
10500 21
 
0.4%
13640 21
 
0.4%
Other values (1771) 5083
95.4%
ValueCountFrequency (%)
10011 3
0.1%
10018 5
0.1%
10019 2
 
< 0.1%
10029 1
 
< 0.1%
10031 2
 
< 0.1%
10039 1
 
< 0.1%
10040 1
 
< 0.1%
10048 1
 
< 0.1%
10059 5
0.1%
10060 3
0.1%
ValueCountFrequency (%)
18616 1
 
< 0.1%
18611 7
0.1%
18606 1
 
< 0.1%
18603 1
 
< 0.1%
18600 11
0.2%
18598 4
 
0.1%
18594 1
 
< 0.1%
18593 7
0.1%
18592 2
 
< 0.1%
18568 2
 
< 0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct3835
Distinct (%)72.5%
Missing35
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.435304
Minimum36.960846
Maximum38.101663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.0 KiB
2023-12-11T06:13:40.916097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960846
5-th percentile37.105747
Q137.294962
median37.402191
Q337.608484
95-th percentile37.753419
Maximum38.101663
Range1.1408177
Interquartile range (IQR)0.31352148

Descriptive statistics

Standard deviation0.20388497
Coefficient of variation (CV)0.0054463289
Kurtosis-0.2651951
Mean37.435304
Median Absolute Deviation (MAD)0.12582254
Skewness0.17450981
Sum198145.06
Variance0.041569083
MonotonicityNot monotonic
2023-12-11T06:13:41.069420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4727049587 11
 
0.2%
37.4105911732 10
 
0.2%
37.2451623291 9
 
0.2%
37.670269954 8
 
0.2%
37.3449788088 8
 
0.2%
37.6544911474 7
 
0.1%
37.6436609124 7
 
0.1%
37.3508865176 7
 
0.1%
37.6550950658 7
 
0.1%
37.3365972746 7
 
0.1%
Other values (3825) 5212
97.8%
(Missing) 35
 
0.7%
ValueCountFrequency (%)
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%
36.9644052069 1
< 0.1%
36.9647315893 1
< 0.1%
36.9787555958 2
< 0.1%
36.9789601868 1
< 0.1%
36.9790863294 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%
38.0350477269 1
< 0.1%
38.0301930006 1
< 0.1%
38.027602793 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct3835
Distinct (%)72.5%
Missing35
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean127.00291
Minimum126.58256
Maximum127.75346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.0 KiB
2023-12-11T06:13:41.242130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58256
5-th percentile126.74585
Q1126.83601
median127.03063
Q3127.1222
95-th percentile127.27398
Maximum127.75346
Range1.1709027
Interquartile range (IQR)0.28618682

Descriptive statistics

Standard deviation0.1855917
Coefficient of variation (CV)0.0014613184
Kurtosis0.48238749
Mean127.00291
Median Absolute Deviation (MAD)0.11876184
Skewness0.45758254
Sum672226.41
Variance0.034444277
MonotonicityNot monotonic
2023-12-11T06:13:41.395172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1429411379 11
 
0.2%
127.1282185032 10
 
0.2%
127.0558002667 9
 
0.2%
126.7619424818 8
 
0.2%
126.7384940896 8
 
0.2%
127.2441040616 7
 
0.1%
126.6270138759 7
 
0.1%
127.109487783 7
 
0.1%
127.2441133261 7
 
0.1%
126.810724748 7
 
0.1%
Other values (3825) 5212
97.8%
(Missing) 35
 
0.7%
ValueCountFrequency (%)
126.5825555862 1
< 0.1%
126.5833826942 1
< 0.1%
126.5843682181 1
< 0.1%
126.5856269206 1
< 0.1%
126.5870994059 1
< 0.1%
126.5976057487 1
< 0.1%
126.5978618162 1
< 0.1%
126.5982817262 1
< 0.1%
126.5986406181 1
< 0.1%
126.5987730066 1
< 0.1%
ValueCountFrequency (%)
127.7534583305 1
< 0.1%
127.6803053266 1
< 0.1%
127.6615576994 1
< 0.1%
127.6439730063 1
< 0.1%
127.6425252062 1
< 0.1%
127.6399559232 1
< 0.1%
127.6392446873 1
< 0.1%
127.6386455655 1
< 0.1%
127.6381504115 1
< 0.1%
127.6373729111 1
< 0.1%

Interactions

2023-12-11T06:13:36.665907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.001343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.362349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.768414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.091503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.464221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.898068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.242100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:36.560231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:13:41.490625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급소재지우편번호WGS84위도WGS84경도
시군명1.0000.1000.9910.9730.947
평가등급0.1001.0000.0780.0490.053
소재지우편번호0.9910.0781.0000.9170.861
WGS84위도0.9730.0490.9171.0000.640
WGS84경도0.9470.0530.8610.6401.000
2023-12-11T06:13:41.594726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.044
시군명0.0441.000
2023-12-11T06:13:41.675257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9120.1450.9230.041
WGS84위도-0.9121.000-0.1990.8250.026
WGS84경도0.145-0.1991.0000.7230.028
시군명0.9230.8250.7231.0000.044
평가등급0.0410.0260.0280.0441.000

Missing values

2023-12-11T06:13:37.027355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:13:37.185712image/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.
2023-12-11T06:13:37.304583image/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
0용인시수지정형외과의원항생제등급제외경기도 용인시 수지구 수지로296번길 47경기도 용인시 수지구 풍덕천동 1080-1번지 수석빌딩 402호,403호1684137.321837127.094096
1용인시수지중앙내과의원항생제1등급경기도 용인시 수지구 풍덕천로 119경기도 용인시 수지구 풍덕천동 1078번지 로얄스포츠센터 3층 303호1683637.323102127.094868
2성남시수진비너스의원항생제등급제외경기도 성남시 수정구 산성대로 193경기도 성남시 수정구 수진동 2193번지 2층1333737.437316127.139594
3수원시순여성의원항생제등급제외경기도 수원시 장안구 정자천로173번길 11-17경기도 수원시 장안구 정자동 878-9번지1633437.295185126.994016
4부천시순천향대학교부속부천병원항생제1등급경기도 부천시 조마루로 170경기도 부천시 중동 1174번지1458437.498369126.762111
5수원시숨앤숲이비인후과의원항생제4등급경기도 수원시 영통구 센트럴타운로 111경기도 수원시 영통구 이의동 1330번지 광교서희스타힐스 301호,302호1650737.292541127.049136
6고양시숲속소아청소년과의원항생제1등급경기도 고양시 일산동구 숲속마을1로 73경기도 고양시 일산동구 풍동 1274-1번지 신성메디칼타운 5층1030637.667635126.799851
7성남시스마일내과의원항생제1등급경기도 성남시 수정구 수정로 141-1경기도 성남시 수정구 태평동 3499번지 8층1330537.442352127.13585
8고양시스마일마취통증의학과의원항생제등급제외경기도 고양시 일산서구 원일로 69경기도 고양시 일산서구 일산동 606-1번지 씨티프라자 208호1035037.686761126.77016
9하남시스마일소아청소년과의원항생제1등급경기도 하남시 미사강변중앙로 220경기도 하남시 망월동 1079-1번지 우성미사타워 505호1291337.566289127.189227
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
5318남양주시이명우이비인후과의원항생제3등급경기도 남양주시 퇴계원읍 퇴계원로 52경기도 남양주시 퇴계원읍 퇴계원리 255-1번지1211937.651234127.142394
5319광명시이명호이비인후과의원항생제3등급경기도 광명시 광명로 899경기도 광명시 광명동 158-789번지 2층1428637.479221126.85399
5320성남시이민상내과의원항생제1등급경기도 성남시 수정구 수정로 163경기도 성남시 수정구 태평동 3417번지 2층1329237.443036127.138221
5321부천시이박산부인과의원항생제등급제외경기도 부천시 길주로 237경기도 부천시 중동 1035-3번지 중동메디칼 301호,302호1453837.504504126.768929
5322시흥시이배진내과의원항생제등급제외경기도 시흥시 장곡로37번길 16경기도 시흥시 장곡동 817-3번지 형제빌딩 3층1500237.378084126.784401
5323안양시이병택정형외과의원항생제등급제외경기도 안양시 동안구 관평로170번길 43경기도 안양시 동안구 관양동 1607번지 훼미리타운 212-214, 401호1406637.393318126.963171
5324안산시이산부인과의원항생제등급제외경기도 안산시 단원구 선부광장1로 72경기도 안산시 단원구 선부동 1076-5번지1523937.33575126.812268
5325용인시이상석내과의원항생제1등급경기도 용인시 기흥구 구갈로72번길 10경기도 용인시 기흥구 구갈동 353번지 낙원상가 2층 202호1697237.280588127.112491
5326하남시이상화내과의원항생제1등급경기도 하남시 신장로 156경기도 하남시 덕풍동 394-1번지 하남프라자 402호1296937.53993127.201946
5327남양주시이상훈이비인후과의원항생제5등급경기도 남양주시 진건읍 사릉로 408-1경기도 남양주시 진건읍 용정리 781-4번지1213637.656576127.178874