Overview

Dataset statistics

Number of variables9
Number of observations6074
Missing cells195
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory445.0 KiB
Average record size in memory75.0 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(주사제) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=AT258H8LJ1K3EFUOVNUZ21313610&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 100 (1.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:48:35.014341
Analysis finished2023-12-10 21:48:37.457339
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size47.6 KiB
성남시
651 
수원시
621 
고양시
483 
부천시
455 
용인시
414 
Other values (26)
3450 

Length

Max length4
Median length3
Mean length3.0895621
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안양시
2nd row포천시
3rd row수원시
4th row안산시
5th row하남시

Common Values

ValueCountFrequency (%)
성남시 651
 
10.7%
수원시 621
 
10.2%
고양시 483
 
8.0%
부천시 455
 
7.5%
용인시 414
 
6.8%
안양시 326
 
5.4%
안산시 319
 
5.3%
남양주시 271
 
4.5%
화성시 266
 
4.4%
의정부시 236
 
3.9%
Other values (21) 2032
33.5%

Length

2023-12-11T06:48:37.515687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 651
 
10.7%
수원시 621
 
10.2%
고양시 483
 
8.0%
부천시 455
 
7.5%
용인시 414
 
6.8%
안양시 326
 
5.4%
안산시 319
 
5.3%
남양주시 271
 
4.5%
화성시 266
 
4.4%
의정부시 236
 
3.9%
Other values (21) 2032
33.5%

기관명
Text

Distinct4824
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size47.6 KiB
2023-12-11T06:48:37.706970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length8.0123477
Min length3

Characters and Unicode

Total characters48667
Distinct characters563
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

Unique4284 ?
Unique (%)70.5%

Sample

1st row메디휴제일내과의원
2nd row메리엘산부인과의원
3rd row메이드의원
4th row메이퀸이지은산부인과의원
5th row메이퓨어의원
ValueCountFrequency (%)
의료법인 18
 
0.3%
연세이비인후과의원 17
 
0.3%
서울안과의원 16
 
0.3%
의원 15
 
0.2%
서울이비인후과의원 15
 
0.2%
상쾌한이비인후과의원 14
 
0.2%
연세안과의원 13
 
0.2%
연세내과의원 13
 
0.2%
서울내과의원 13
 
0.2%
서울정형외과의원 12
 
0.2%
Other values (4884) 6058
97.6%
2023-12-11T06:48:38.042940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 6411
 
13.2%
원 6220
 
12.8%
과 4395
 
9.0%
소 1252
 
2.6%
이 1074
 
2.2%
인 1032
 
2.1%
내 966
 
2.0%
정 893
 
1.8%
아 873
 
1.8%
비 832
 
1.7%
Other values (553) 24719
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48185
99.0%
Decimal Number 178
 
0.4%
Space Separator 131
 
0.3%
Uppercase Letter 87
 
0.2%
Close Punctuation 30
 
0.1%
Open Punctuation 26
 
0.1%
Other Punctuation 18
 
< 0.1%
Lowercase Letter 9
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 6411
 
13.3%
원 6220
 
12.9%
과 4395
 
9.1%
소 1252
 
2.6%
이 1074
 
2.2%
인 1032
 
2.1%
내 966
 
2.0%
정 893
 
1.9%
아 873
 
1.8%
비 832
 
1.7%
Other values (513) 24237
50.3%
Uppercase Letter
ValueCountFrequency (%)
S 17
19.5%
K 9
10.3%
M 7
 
8.0%
J 7
 
8.0%
D 6
 
6.9%
C 6
 
6.9%
L 5
 
5.7%
G 4
 
4.6%
N 3
 
3.4%
O 3
 
3.4%
Other values (10) 20
23.0%
Decimal Number
ValueCountFrequency (%)
3 41
23.0%
5 40
22.5%
6 38
21.3%
1 26
14.6%
2 25
14.0%
8 7
 
3.9%
9 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
44.4%
r 2
22.2%
s 1
 
11.1%
h 1
 
11.1%
i 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 12
66.7%
. 5
27.8%
· 1
 
5.6%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48185
99.0%
Common 385
 
0.8%
Latin 96
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 6411
 
13.3%
원 6220
 
12.9%
과 4395
 
9.1%
소 1252
 
2.6%
이 1074
 
2.2%
인 1032
 
2.1%
내 966
 
2.0%
정 893
 
1.9%
아 873
 
1.8%
비 832
 
1.7%
Other values (513) 24237
50.3%
Latin
ValueCountFrequency (%)
S 17
17.7%
K 9
 
9.4%
M 7
 
7.3%
J 7
 
7.3%
D 6
 
6.2%
C 6
 
6.2%
L 5
 
5.2%
G 4
 
4.2%
e 4
 
4.2%
N 3
 
3.1%
Other values (15) 28
29.2%
Common
ValueCountFrequency (%)
131
34.0%
3 41
 
10.6%
5 40
 
10.4%
6 38
 
9.9%
) 30
 
7.8%
( 26
 
6.8%
1 26
 
6.8%
2 25
 
6.5%
& 12
 
3.1%
8 7
 
1.8%
Other values (4) 9
 
2.3%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48184
99.0%
ASCII 480
 
1.0%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 6411
 
13.3%
원 6220
 
12.9%
과 4395
 
9.1%
소 1252
 
2.6%
이 1074
 
2.2%
인 1032
 
2.1%
내 966
 
2.0%
정 893
 
1.9%
아 873
 
1.8%
비 832
 
1.7%
Other values (512) 24236
50.3%
ASCII
ValueCountFrequency (%)
131
27.3%
3 41
 
8.5%
5 40
 
8.3%
6 38
 
7.9%
) 30
 
6.2%
( 26
 
5.4%
1 26
 
5.4%
2 25
 
5.2%
S 17
 
3.5%
& 12
 
2.5%
Other values (28) 94
19.6%
CJK
ValueCountFrequency (%)
美 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.6 KiB
주사제
6074 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주사제 6074
100.0%

Length

2023-12-11T06:48:38.162262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:38.242642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주사제 6074
100.0%

평가등급
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.6 KiB
2등급
1388 
1등급
1342 
3등급
1342 
4등급
1135 
5등급
853 

Length

Max length4
Median length3
Mean length3.0023049
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4등급
2nd row1등급
3rd row4등급
4th row4등급
5th row5등급

Common Values

ValueCountFrequency (%)
2등급 1388
22.9%
1등급 1342
22.1%
3등급 1342
22.1%
4등급 1135
18.7%
5등급 853
14.0%
등급제외 14
 
0.2%

Length

2023-12-11T06:48:38.339831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:38.446427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2등급 1388
22.9%
1등급 1342
22.1%
3등급 1342
22.1%
4등급 1135
18.7%
5등급 853
14.0%
등급제외 14
 
0.2%

소재지도로명주소
Text

MISSING 

Distinct4013
Distinct (%)67.2%
Missing100
Missing (%)1.6%
Memory size47.6 KiB
2023-12-11T06:48:38.703712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length18.361567
Min length13

Characters and Unicode

Total characters109692
Distinct characters321
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

Unique3008 ?
Unique (%)50.4%

Sample

1st row경기도 안양시 동안구 평촌대로 352
2nd row경기도 포천시 소흘읍 송우로 62
3rd row경기도 수원시 권선구 효원로256번길 7
4th row경기도 안산시 단원구 선부광장1로 10
5th row경기도 하남시 신장로 152
ValueCountFrequency (%)
경기도 5974
 
21.9%
성남시 648
 
2.4%
수원시 608
 
2.2%
고양시 475
 
1.7%
부천시 448
 
1.6%
용인시 404
 
1.5%
분당구 337
 
1.2%
안양시 316
 
1.2%
안산시 314
 
1.1%
남양주시 266
 
1.0%
Other values (2731) 17533
64.2%
2023-12-11T06:48:39.103378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21349
19.5%
경 6240
 
5.7%
시 6211
 
5.7%
기 6186
 
5.6%
도 6106
 
5.6%
로 5814
 
5.3%
1 3691
 
3.4%
구 2972
 
2.7%
2 2650
 
2.4%
3 2121
 
1.9%
Other values (311) 46352
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69562
63.4%
Space Separator 21349
 
19.5%
Decimal Number 18310
 
16.7%
Dash Punctuation 470
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 6240
 
9.0%
시 6211
 
8.9%
기 6186
 
8.9%
도 6106
 
8.8%
로 5814
 
8.4%
구 2972
 
4.3%
양 1588
 
2.3%
안 1436
 
2.1%
남 1296
 
1.9%
성 1274
 
1.8%
Other values (298) 30439
43.8%
Decimal Number
ValueCountFrequency (%)
1 3691
20.2%
2 2650
14.5%
3 2121
11.6%
5 1519
8.3%
4 1507
8.2%
7 1443
 
7.9%
6 1420
 
7.8%
0 1382
 
7.5%
8 1327
 
7.2%
9 1250
 
6.8%
Space Separator
ValueCountFrequency (%)
21349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 470
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69562
63.4%
Common 40130
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 6240
 
9.0%
시 6211
 
8.9%
기 6186
 
8.9%
도 6106
 
8.8%
로 5814
 
8.4%
구 2972
 
4.3%
양 1588
 
2.3%
안 1436
 
2.1%
남 1296
 
1.9%
성 1274
 
1.8%
Other values (298) 30439
43.8%
Common
ValueCountFrequency (%)
21349
53.2%
1 3691
 
9.2%
2 2650
 
6.6%
3 2121
 
5.3%
5 1519
 
3.8%
4 1507
 
3.8%
7 1443
 
3.6%
6 1420
 
3.5%
0 1382
 
3.4%
8 1327
 
3.3%
Other values (3) 1721
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69562
63.4%
ASCII 40130
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21349
53.2%
1 3691
 
9.2%
2 2650
 
6.6%
3 2121
 
5.3%
5 1519
 
3.8%
4 1507
 
3.8%
7 1443
 
3.6%
6 1420
 
3.5%
0 1382
 
3.4%
8 1327
 
3.3%
Other values (3) 1721
 
4.3%
Hangul
ValueCountFrequency (%)
경 6240
 
9.0%
시 6211
 
8.9%
기 6186
 
8.9%
도 6106
 
8.8%
로 5814
 
8.4%
구 2972
 
4.3%
양 1588
 
2.3%
안 1436
 
2.1%
남 1296
 
1.9%
성 1274
 
1.8%
Other values (298) 30439
43.8%

소재지지번주소
Text

Distinct5924
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size47.6 KiB
2023-12-11T06:48:39.394492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length29.835364
Min length14

Characters and Unicode

Total characters181220
Distinct characters561
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

Unique5796 ?
Unique (%)95.4%

Sample

1st row경기도 안양시 동안구 비산동 1033-2번지 성준빌딩 2층
2nd row경기도 포천시 소흘읍 송우리 726-84번지 송우웰빙타운
3rd row경기도 수원시 권선구 권선동 1013번지 지오베르크 210호
4th row경기도 안산시 단원구 선부동 1070-11번지 동양빌딩 302호, 501(일부)호
5th row경기도 하남시 덕풍동 415-72번지 성하빌딩 4층
ValueCountFrequency (%)
경기도 6074
 
16.3%
2층 768
 
2.1%
성남시 651
 
1.7%
수원시 621
 
1.7%
3층 565
 
1.5%
고양시 483
 
1.3%
부천시 455
 
1.2%
용인시 414
 
1.1%
분당구 340
 
0.9%
안양시 326
 
0.9%
Other values (7424) 26505
71.2%
2023-12-11T06:48:39.845292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31128
 
17.2%
1 6689
 
3.7%
지 6523
 
3.6%
기 6307
 
3.5%
동 6263
 
3.5%
시 6261
 
3.5%
도 6212
 
3.4%
경 6151
 
3.4%
번 6054
 
3.3%
2 5640
 
3.1%
Other values (551) 93992
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103774
57.3%
Decimal Number 39323
 
21.7%
Space Separator 31128
 
17.2%
Dash Punctuation 4718
 
2.6%
Other Punctuation 1271
 
0.7%
Uppercase Letter 418
 
0.2%
Math Symbol 345
 
0.2%
Open Punctuation 107
 
0.1%
Close Punctuation 106
 
0.1%
Lowercase Letter 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6523
 
6.3%
기 6307
 
6.1%
동 6263
 
6.0%
시 6261
 
6.0%
도 6212
 
6.0%
경 6151
 
5.9%
번 6054
 
5.8%
호 3195
 
3.1%
구 3057
 
2.9%
층 2566
 
2.5%
Other values (491) 51185
49.3%
Uppercase Letter
ValueCountFrequency (%)
A 69
16.5%
B 54
12.9%
C 39
 
9.3%
S 33
 
7.9%
R 22
 
5.3%
M 22
 
5.3%
D 16
 
3.8%
L 15
 
3.6%
K 15
 
3.6%
I 14
 
3.3%
Other values (15) 119
28.5%
Lowercase Letter
ValueCountFrequency (%)
e 9
36.0%
o 2
 
8.0%
n 2
 
8.0%
l 2
 
8.0%
k 2
 
8.0%
c 2
 
8.0%
p 2
 
8.0%
a 1
 
4.0%
m 1
 
4.0%
t 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 6689
17.0%
2 5640
14.3%
3 5380
13.7%
0 5316
13.5%
4 4003
10.2%
5 3365
8.6%
6 2607
 
6.6%
7 2336
 
5.9%
8 2134
 
5.4%
9 1853
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 1175
92.4%
. 76
 
6.0%
/ 12
 
0.9%
& 6
 
0.5%
@ 1
 
0.1%
: 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
40.0%
Ⅱ 2
40.0%
Ⅰ 1
20.0%
Space Separator
ValueCountFrequency (%)
31128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4718
100.0%
Math Symbol
ValueCountFrequency (%)
~ 345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103774
57.3%
Common 76998
42.5%
Latin 448
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6523
 
6.3%
기 6307
 
6.1%
동 6263
 
6.0%
시 6261
 
6.0%
도 6212
 
6.0%
경 6151
 
5.9%
번 6054
 
5.8%
호 3195
 
3.1%
구 3057
 
2.9%
층 2566
 
2.5%
Other values (491) 51185
49.3%
Latin
ValueCountFrequency (%)
A 69
15.4%
B 54
 
12.1%
C 39
 
8.7%
S 33
 
7.4%
R 22
 
4.9%
M 22
 
4.9%
D 16
 
3.6%
L 15
 
3.3%
K 15
 
3.3%
I 14
 
3.1%
Other values (29) 149
33.3%
Common
ValueCountFrequency (%)
31128
40.4%
1 6689
 
8.7%
2 5640
 
7.3%
3 5380
 
7.0%
0 5316
 
6.9%
- 4718
 
6.1%
4 4003
 
5.2%
5 3365
 
4.4%
6 2607
 
3.4%
7 2336
 
3.0%
Other values (11) 5816
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103774
57.3%
ASCII 77441
42.7%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31128
40.2%
1 6689
 
8.6%
2 5640
 
7.3%
3 5380
 
6.9%
0 5316
 
6.9%
- 4718
 
6.1%
4 4003
 
5.2%
5 3365
 
4.3%
6 2607
 
3.4%
7 2336
 
3.0%
Other values (47) 6259
 
8.1%
Hangul
ValueCountFrequency (%)
지 6523
 
6.3%
기 6307
 
6.1%
동 6263
 
6.0%
시 6261
 
6.0%
도 6212
 
6.0%
경 6151
 
5.9%
번 6054
 
5.8%
호 3195
 
3.1%
구 3057
 
2.9%
층 2566
 
2.5%
Other values (491) 51185
49.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
40.0%
Ⅱ 2
40.0%
Ⅰ 1
20.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1822
Distinct (%)30.1%
Missing17
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14254.411
Minimum10011
Maximum18616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.5 KiB
2023-12-11T06:48:39.990048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10356.6
Q112162
median14247
Q316455
95-th percentile18137
Maximum18616
Range8605
Interquartile range (IQR)4293

Descriptive statistics

Standard deviation2439.1537
Coefficient of variation (CV)0.17111571
Kurtosis-1.0783457
Mean14254.411
Median Absolute Deviation (MAD)2144
Skewness-0.040573143
Sum86338968
Variance5949470.8
MonotonicityNot monotonic
2023-12-11T06:48:40.124798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 43
 
0.7%
10386 34
 
0.6%
14072 30
 
0.5%
15360 29
 
0.5%
17051 29
 
0.5%
13591 28
 
0.5%
10500 27
 
0.4%
13618 26
 
0.4%
17909 26
 
0.4%
15239 25
 
0.4%
Other values (1812) 5760
94.8%
ValueCountFrequency (%)
10011 3
< 0.1%
10018 5
0.1%
10019 3
< 0.1%
10023 1
 
< 0.1%
10029 1
 
< 0.1%
10031 2
 
< 0.1%
10040 1
 
< 0.1%
10048 1
 
< 0.1%
10059 5
0.1%
10060 3
< 0.1%
ValueCountFrequency (%)
18616 1
 
< 0.1%
18611 8
0.1%
18606 1
 
< 0.1%
18603 1
 
< 0.1%
18600 11
0.2%
18598 5
0.1%
18594 1
 
< 0.1%
18593 8
0.1%
18592 2
 
< 0.1%
18577 1
 
< 0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct4065
Distinct (%)67.4%
Missing39
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean37.434446
Minimum36.960846
Maximum38.101663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.5 KiB
2023-12-11T06:48:40.256944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960846
5-th percentile37.114083
Q137.29545
median37.402221
Q337.60483
95-th percentile37.751746
Maximum38.101663
Range1.1408177
Interquartile range (IQR)0.30937951

Descriptive statistics

Standard deviation0.20213215
Coefficient of variation (CV)0.0053996298
Kurtosis-0.25404017
Mean37.434446
Median Absolute Deviation (MAD)0.1251212
Skewness0.16446569
Sum225916.88
Variance0.040857407
MonotonicityNot monotonic
2023-12-11T06:48:40.408669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4727049587 12
 
0.2%
37.4105911732 12
 
0.2%
37.2451623291 11
 
0.2%
37.670269954 10
 
0.2%
37.3067600253 10
 
0.2%
37.5051300224 10
 
0.2%
37.504504004 9
 
0.1%
37.2520691395 9
 
0.1%
37.3449788088 9
 
0.1%
37.3895629286 9
 
0.1%
Other values (4055) 5934
97.7%
(Missing) 39
 
0.6%
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 3
< 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 

Distinct4065
Distinct (%)67.4%
Missing39
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean127.00213
Minimum126.56868
Maximum127.75346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.5 KiB
2023-12-11T06:48:40.548656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56868
5-th percentile126.74611
Q1126.83568
median127.02998
Q3127.12162
95-th percentile127.26994
Maximum127.75346
Range1.1847815
Interquartile range (IQR)0.28594453

Descriptive statistics

Standard deviation0.18505417
Coefficient of variation (CV)0.001457095
Kurtosis0.48796275
Mean127.00213
Median Absolute Deviation (MAD)0.11912713
Skewness0.46556236
Sum766457.83
Variance0.034245045
MonotonicityNot monotonic
2023-12-11T06:48:40.722084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1429411379 12
 
0.2%
127.1282185032 12
 
0.2%
127.0558002667 11
 
0.2%
126.7619424818 10
 
0.2%
127.0846083156 10
 
0.2%
126.7537281611 10
 
0.2%
126.7689289893 9
 
0.1%
127.0710390017 9
 
0.1%
126.7384940896 9
 
0.1%
126.9522508622 9
 
0.1%
Other values (4055) 5934
97.7%
(Missing) 39
 
0.6%
ValueCountFrequency (%)
126.5686768408 1
< 0.1%
126.5825555862 1
< 0.1%
126.5843682181 1
< 0.1%
126.5856269206 1
< 0.1%
126.5870994059 1
< 0.1%
126.5976057487 2
< 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%
127.6417237781 1
< 0.1%
127.6399559232 1
< 0.1%
127.6392446873 1
< 0.1%
127.6386455655 1
< 0.1%
127.6381504115 1
< 0.1%

Interactions

2023-12-11T06:48:36.624384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.077101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.330395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.715061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.154906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.427945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.809160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.244529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:48:36.521415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:48:40.866681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급소재지우편번호WGS84위도WGS84경도
시군명1.0000.1480.9910.9730.948
평가등급0.1481.0000.1020.0910.102
소재지우편번호0.9910.1021.0000.9170.858
WGS84위도0.9730.0910.9171.0000.645
WGS84경도0.9480.1020.8580.6451.000
2023-12-11T06:48:40.960504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.065
시군명0.0651.000
2023-12-11T06:48:41.036564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9100.1410.9240.053
WGS84위도-0.9101.000-0.2050.8240.048
WGS84경도0.141-0.2051.0000.7260.054
시군명0.9240.8240.7261.0000.065
평가등급0.0530.0480.0540.0651.000

Missing values

2023-12-11T06:48:36.948813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:48:37.079567image/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.
2023-12-11T06:48:37.397506image/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
0안양시메디휴제일내과의원주사제4등급경기도 안양시 동안구 평촌대로 352경기도 안양시 동안구 비산동 1033-2번지 성준빌딩 2층1394137.402191126.950272
1포천시메리엘산부인과의원주사제1등급경기도 포천시 소흘읍 송우로 62경기도 포천시 소흘읍 송우리 726-84번지 송우웰빙타운1117537.829607127.142399
2수원시메이드의원주사제4등급경기도 수원시 권선구 효원로256번길 7경기도 수원시 권선구 권선동 1013번지 지오베르크 210호1657137.261648127.029776
3안산시메이퀸이지은산부인과의원주사제4등급경기도 안산시 단원구 선부광장1로 10경기도 안산시 단원구 선부동 1070-11번지 동양빌딩 302호, 501(일부)호1524037.335531126.807212
4하남시메이퓨어의원주사제5등급경기도 하남시 신장로 152경기도 하남시 덕풍동 415-72번지 성하빌딩 4층1296937.539525127.202197
5부천시메이플의원주사제5등급경기도 부천시 상동로 108경기도 부천시 상동 535-4번지 401호 일부1454237.50678126.753848
6화성시메타폴리스내과의원주사제2등급경기도 화성시 동탄중앙로 200경기도 화성시 반송동 98번지 메타폴리스 B동 3층 312-2호1844537.202373127.068098
7의정부시멘파워비뇨기과의원주사제1등급경기도 의정부시 청사로 37경기도 의정부시 금오동 473-3번지 신세계프라자 605호1175737.751517127.069852
8수원시멘파워비뇨기과의원주사제2등급경기도 수원시 팔달구 덕영대로 905경기도 수원시 팔달구 매산로1가 11-12번지1645537.267892127.00056
9수원시명가의원주사제3등급경기도 수원시 권선구 정조로413번길 68경기도 수원시 권선구 세류동 1142번지1665837.248688127.01265
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
6064남양주시연세팜스의원주사제5등급경기도 남양주시 도농로 1경기도 남양주시 다산동 4053-4번지 상암빌딩 301호1226037.606103127.157248
6065수원시연세패밀리의원주사제4등급경기도 수원시 권선구 세화로 134경기도 수원시 권선구 서둔동 381번지 롯데몰 수원점 2층1662137.264101126.997371
6066구리시연세편한내과의원주사제4등급경기도 구리시 갈매중앙로 91경기도 구리시 갈매동 601-2번지 한덕프라자 302호1190137.632751127.117651
6067양평군연세푸르른내과의원주사제4등급경기도 양평군 양평읍 역전길 24경기도 양평군 양평읍 양근리 376-4번지 오성프라자 402호1255637.492245127.491052
6068양평군연세푸르른소아청소년과의원주사제2등급경기도 양평군 양평읍 역전길 24경기도 양평군 양평읍 양근리 376-4번지 오성프라자 401호1255637.492245127.491052
6069의정부시서울이비인후과의원주사제5등급경기도 의정부시 동일로454번길 6경기도 의정부시 신곡동 727-1번지 풍림아파트 상가 213호1173937.728659127.059964
6070평택시서울이비인후과의원주사제3등급경기도 평택시 중앙2로 13경기도 평택시 평택동 291번지 외 2필지 센텀스카이빌딩 405호1790936.991964127.088563
6071여주시서울이비인후과의원주사제2등급경기도 여주시 여흥로109번길 15경기도 여주시 창동 50-4번지1262237.297081127.635893
6072광주시톡스앤미의원주사제5등급경기도 광주시 중앙로 101경기도 광주시 경안동 32-3번지 클리닉빌딩 4층 403호1275937.40882127.258423
6073성남시톡스앤필의원주사제2등급경기도 성남시 분당구 분당로53번길 11경기도 성남시 분당구 서현동 269-5번지 서원프라자 4층 일부호1359137.38407127.121549