Overview

Dataset statistics

Number of variables9
Number of observations4869
Missing cells162
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory356.7 KiB
Average record size in memory75.0 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(약-처방약품비) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=MGBFKAAWA13SNHQ0E1GF21321233&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 79 (1.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:37:34.846247
Analysis finished2023-12-10 21:37:37.638223
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
성남시
512 
수원시
503 
부천시
399 
고양시
399 
용인시
340 
Other values (26)
2716 

Length

Max length4
Median length3
Mean length3.08626
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시
2nd row양주시
3rd row성남시
4th row양평군
5th row양평군

Common Values

ValueCountFrequency (%)
성남시 512
 
10.5%
수원시 503
 
10.3%
부천시 399
 
8.2%
고양시 399
 
8.2%
용인시 340
 
7.0%
안양시 278
 
5.7%
안산시 272
 
5.6%
남양주시 207
 
4.3%
화성시 185
 
3.8%
의정부시 181
 
3.7%
Other values (21) 1593
32.7%

Length

2023-12-11T06:37:37.720995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 512
 
10.5%
수원시 503
 
10.3%
부천시 399
 
8.2%
고양시 399
 
8.2%
용인시 340
 
7.0%
안양시 278
 
5.7%
안산시 272
 
5.6%
남양주시 207
 
4.3%
화성시 185
 
3.8%
의정부시 181
 
3.7%
Other values (21) 1593
32.7%

기관명
Text

Distinct3921
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
2023-12-11T06:37:37.982702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.9687821
Min length3

Characters and Unicode

Total characters38800
Distinct characters523
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

Unique3510 ?
Unique (%)72.1%

Sample

1st row양주정형외과의원
2nd row양주중앙의원
3rd row양충모내과의원
4th row양평병원
5th row양평제일안과의원
ValueCountFrequency (%)
의료법인 16
 
0.3%
연세이비인후과의원 14
 
0.3%
상쾌한이비인후과의원 14
 
0.3%
서울이비인후과의원 13
 
0.3%
서울안과의원 13
 
0.3%
연세내과의원 13
 
0.3%
서울내과의원 12
 
0.2%
연세안과의원 12
 
0.2%
연세의원 11
 
0.2%
현대정형외과의원 11
 
0.2%
Other values (3957) 4817
97.4%
2023-12-11T06:37:38.394696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 5206
 
13.4%
원 4984
 
12.8%
과 3604
 
9.3%
소 948
 
2.4%
이 856
 
2.2%
정 849
 
2.2%
인 807
 
2.1%
내 753
 
1.9%
비 656
 
1.7%
아 655
 
1.7%
Other values (513) 19482
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38500
99.2%
Decimal Number 106
 
0.3%
Space Separator 77
 
0.2%
Uppercase Letter 51
 
0.1%
Close Punctuation 21
 
0.1%
Open Punctuation 18
 
< 0.1%
Other Punctuation 18
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 5206
 
13.5%
원 4984
 
12.9%
과 3604
 
9.4%
소 948
 
2.5%
이 856
 
2.2%
정 849
 
2.2%
인 807
 
2.1%
내 753
 
2.0%
비 656
 
1.7%
아 655
 
1.7%
Other values (478) 19182
49.8%
Uppercase Letter
ValueCountFrequency (%)
S 12
23.5%
K 5
9.8%
L 4
 
7.8%
D 4
 
7.8%
B 4
 
7.8%
J 3
 
5.9%
G 3
 
5.9%
M 3
 
5.9%
Y 3
 
5.9%
C 2
 
3.9%
Other values (7) 8
15.7%
Decimal Number
ValueCountFrequency (%)
3 24
22.6%
5 24
22.6%
6 23
21.7%
1 16
15.1%
2 16
15.1%
8 3
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 2
33.3%
s 1
16.7%
i 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 12
66.7%
. 5
27.8%
· 1
 
5.6%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38500
99.2%
Common 242
 
0.6%
Latin 57
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 5206
 
13.5%
원 4984
 
12.9%
과 3604
 
9.4%
소 948
 
2.5%
이 856
 
2.2%
정 849
 
2.2%
인 807
 
2.1%
내 753
 
2.0%
비 656
 
1.7%
아 655
 
1.7%
Other values (478) 19182
49.8%
Latin
ValueCountFrequency (%)
S 12
21.1%
K 5
 
8.8%
L 4
 
7.0%
D 4
 
7.0%
B 4
 
7.0%
J 3
 
5.3%
G 3
 
5.3%
M 3
 
5.3%
Y 3
 
5.3%
C 2
 
3.5%
Other values (11) 14
24.6%
Common
ValueCountFrequency (%)
77
31.8%
3 24
 
9.9%
5 24
 
9.9%
6 23
 
9.5%
) 21
 
8.7%
( 18
 
7.4%
1 16
 
6.6%
2 16
 
6.6%
& 12
 
5.0%
. 5
 
2.1%
Other values (3) 6
 
2.5%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38499
99.2%
ASCII 298
 
0.8%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 5206
 
13.5%
원 4984
 
12.9%
과 3604
 
9.4%
소 948
 
2.5%
이 856
 
2.2%
정 849
 
2.2%
인 807
 
2.1%
내 753
 
2.0%
비 656
 
1.7%
아 655
 
1.7%
Other values (477) 19181
49.8%
ASCII
ValueCountFrequency (%)
77
25.8%
3 24
 
8.1%
5 24
 
8.1%
6 23
 
7.7%
) 21
 
7.0%
( 18
 
6.0%
1 16
 
5.4%
2 16
 
5.4%
& 12
 
4.0%
S 12
 
4.0%
Other values (23) 55
18.5%
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 size38.2 KiB
처방약품비
4869 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
처방약품비 4869
100.0%

Length

2023-12-11T06:37:38.547494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:38.667666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처방약품비 4869
100.0%

평가등급
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
4등급
940 
3등급
938 
5등급
927 
2등급
843 
1등급
806 

Length

Max length4
Median length3
Mean length3.0852331
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4등급
2nd row5등급
3rd row3등급
4th row4등급
5th row4등급

Common Values

ValueCountFrequency (%)
4등급 940
19.3%
3등급 938
19.3%
5등급 927
19.0%
2등급 843
17.3%
1등급 806
16.6%
등급제외 415
8.5%

Length

2023-12-11T06:37:38.766691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:38.915559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4등급 940
19.3%
3등급 938
19.3%
5등급 927
19.0%
2등급 843
17.3%
1등급 806
16.6%
등급제외 415
8.5%

소재지도로명주소
Text

MISSING 

Distinct3379
Distinct (%)70.5%
Missing79
Missing (%)1.6%
Memory size38.2 KiB
2023-12-11T06:37:39.244559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length18.348017
Min length13

Characters and Unicode

Total characters87887
Distinct characters313
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

Unique2624 ?
Unique (%)54.8%

Sample

1st row경기도 양주시 평화로 1420
2nd row경기도 양주시 평화로 1410
3rd row경기도 성남시 중원구 산성대로372번길 14
4th row경기도 양평군 양평읍 중앙로 129
5th row경기도 양평군 양평읍 시민로 31
ValueCountFrequency (%)
경기도 4790
 
21.8%
성남시 509
 
2.3%
수원시 492
 
2.2%
고양시 393
 
1.8%
부천시 392
 
1.8%
용인시 332
 
1.5%
분당구 286
 
1.3%
안양시 272
 
1.2%
안산시 268
 
1.2%
중앙로 204
 
0.9%
Other values (2472) 14025
63.9%
2023-12-11T06:37:39.671663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17173
19.5%
경 5018
 
5.7%
기 4969
 
5.7%
시 4966
 
5.7%
도 4882
 
5.6%
로 4655
 
5.3%
1 2948
 
3.4%
구 2428
 
2.8%
2 2106
 
2.4%
3 1634
 
1.9%
Other values (303) 37108
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55670
63.3%
Space Separator 17173
 
19.5%
Decimal Number 14654
 
16.7%
Dash Punctuation 389
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 5018
 
9.0%
기 4969
 
8.9%
시 4966
 
8.9%
도 4882
 
8.8%
로 4655
 
8.4%
구 2428
 
4.4%
양 1292
 
2.3%
안 1242
 
2.2%
성 1015
 
1.8%
남 984
 
1.8%
Other values (290) 24219
43.5%
Decimal Number
ValueCountFrequency (%)
1 2948
20.1%
2 2106
14.4%
3 1634
11.2%
5 1259
8.6%
4 1223
8.3%
7 1163
 
7.9%
6 1149
 
7.8%
0 1108
 
7.6%
8 1048
 
7.2%
9 1016
 
6.9%
Space Separator
ValueCountFrequency (%)
17173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 389
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55670
63.3%
Common 32217
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 5018
 
9.0%
기 4969
 
8.9%
시 4966
 
8.9%
도 4882
 
8.8%
로 4655
 
8.4%
구 2428
 
4.4%
양 1292
 
2.3%
안 1242
 
2.2%
성 1015
 
1.8%
남 984
 
1.8%
Other values (290) 24219
43.5%
Common
ValueCountFrequency (%)
17173
53.3%
1 2948
 
9.2%
2 2106
 
6.5%
3 1634
 
5.1%
5 1259
 
3.9%
4 1223
 
3.8%
7 1163
 
3.6%
6 1149
 
3.6%
0 1108
 
3.4%
8 1048
 
3.3%
Other values (3) 1406
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55670
63.3%
ASCII 32217
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17173
53.3%
1 2948
 
9.2%
2 2106
 
6.5%
3 1634
 
5.1%
5 1259
 
3.9%
4 1223
 
3.8%
7 1163
 
3.6%
6 1149
 
3.6%
0 1108
 
3.4%
8 1048
 
3.3%
Other values (3) 1406
 
4.4%
Hangul
ValueCountFrequency (%)
경 5018
 
9.0%
기 4969
 
8.9%
시 4966
 
8.9%
도 4882
 
8.8%
로 4655
 
8.4%
구 2428
 
4.4%
양 1292
 
2.3%
안 1242
 
2.2%
성 1015
 
1.8%
남 984
 
1.8%
Other values (290) 24219
43.5%

소재지지번주소
Text

Distinct4744
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
2023-12-11T06:37:39.956102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length57
Mean length29.408092
Min length14

Characters and Unicode

Total characters143188
Distinct characters543
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

Unique4642 ?
Unique (%)95.3%

Sample

1st row경기도 양주시 덕계동 420-10번지 세원프라자 403호
2nd row경기도 양주시 덕계동 418-9번지
3rd row경기도 성남시 중원구 금광동 11번지
4th row경기도 양평군 양평읍 공흥리 316-2번지
5th row경기도 양평군 양평읍 양근리 180-4번지 나동 102호
ValueCountFrequency (%)
경기도 4869
 
16.5%
2층 605
 
2.1%
성남시 512
 
1.7%
수원시 503
 
1.7%
3층 416
 
1.4%
부천시 399
 
1.4%
고양시 399
 
1.4%
용인시 340
 
1.2%
분당구 289
 
1.0%
안양시 278
 
0.9%
Other values (6264) 20878
70.8%
2023-12-11T06:37:40.362761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24619
 
17.2%
1 5267
 
3.7%
지 5208
 
3.6%
기 5066
 
3.5%
시 5014
 
3.5%
동 4982
 
3.5%
도 4973
 
3.5%
경 4932
 
3.4%
번 4853
 
3.4%
2 4459
 
3.1%
Other values (533) 73815
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82487
57.6%
Decimal Number 30610
 
21.4%
Space Separator 24619
 
17.2%
Dash Punctuation 3836
 
2.7%
Other Punctuation 889
 
0.6%
Uppercase Letter 315
 
0.2%
Math Symbol 240
 
0.2%
Open Punctuation 84
 
0.1%
Close Punctuation 84
 
0.1%
Lowercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5208
 
6.3%
기 5066
 
6.1%
시 5014
 
6.1%
동 4982
 
6.0%
도 4973
 
6.0%
경 4932
 
6.0%
번 4853
 
5.9%
구 2482
 
3.0%
호 2400
 
2.9%
층 1877
 
2.3%
Other values (476) 40700
49.3%
Uppercase Letter
ValueCountFrequency (%)
A 51
16.2%
B 35
 
11.1%
C 30
 
9.5%
S 25
 
7.9%
R 19
 
6.0%
D 13
 
4.1%
L 13
 
4.1%
K 12
 
3.8%
E 11
 
3.5%
W 11
 
3.5%
Other values (13) 95
30.2%
Decimal Number
ValueCountFrequency (%)
1 5267
17.2%
2 4459
14.6%
3 4191
13.7%
0 4024
13.1%
4 3058
10.0%
5 2589
8.5%
6 1990
 
6.5%
7 1922
 
6.3%
8 1667
 
5.4%
9 1443
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
35.0%
p 2
 
10.0%
l 2
 
10.0%
n 2
 
10.0%
o 2
 
10.0%
m 1
 
5.0%
a 1
 
5.0%
k 1
 
5.0%
s 1
 
5.0%
c 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 826
92.9%
. 47
 
5.3%
/ 9
 
1.0%
& 5
 
0.6%
: 1
 
0.1%
@ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅱ 1
25.0%
Ⅰ 1
25.0%
Space Separator
ValueCountFrequency (%)
24619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3836
100.0%
Math Symbol
ValueCountFrequency (%)
~ 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82487
57.6%
Common 60362
42.2%
Latin 339
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5208
 
6.3%
기 5066
 
6.1%
시 5014
 
6.1%
동 4982
 
6.0%
도 4973
 
6.0%
경 4932
 
6.0%
번 4853
 
5.9%
구 2482
 
3.0%
호 2400
 
2.9%
층 1877
 
2.3%
Other values (476) 40700
49.3%
Latin
ValueCountFrequency (%)
A 51
15.0%
B 35
 
10.3%
C 30
 
8.8%
S 25
 
7.4%
R 19
 
5.6%
D 13
 
3.8%
L 13
 
3.8%
K 12
 
3.5%
E 11
 
3.2%
W 11
 
3.2%
Other values (26) 119
35.1%
Common
ValueCountFrequency (%)
24619
40.8%
1 5267
 
8.7%
2 4459
 
7.4%
3 4191
 
6.9%
0 4024
 
6.7%
- 3836
 
6.4%
4 3058
 
5.1%
5 2589
 
4.3%
6 1990
 
3.3%
7 1922
 
3.2%
Other values (11) 4407
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82487
57.6%
ASCII 60697
42.4%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24619
40.6%
1 5267
 
8.7%
2 4459
 
7.3%
3 4191
 
6.9%
0 4024
 
6.6%
- 3836
 
6.3%
4 3058
 
5.0%
5 2589
 
4.3%
6 1990
 
3.3%
7 1922
 
3.2%
Other values (44) 4742
 
7.8%
Hangul
ValueCountFrequency (%)
지 5208
 
6.3%
기 5066
 
6.1%
시 5014
 
6.1%
동 4982
 
6.0%
도 4973
 
6.0%
경 4932
 
6.0%
번 4853
 
5.9%
구 2482
 
3.0%
호 2400
 
2.9%
층 1877
 
2.3%
Other values (476) 40700
49.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅱ 1
25.0%
Ⅰ 1
25.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1634
Distinct (%)33.7%
Missing15
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14263.077
Minimum10011
Maximum18626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.9 KiB
2023-12-11T06:37:40.681205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10377.6
Q112209
median14263
Q316422
95-th percentile18115.7
Maximum18626
Range8615
Interquartile range (IQR)4213

Descriptive statistics

Standard deviation2401.4478
Coefficient of variation (CV)0.16836814
Kurtosis-1.0494
Mean14263.077
Median Absolute Deviation (MAD)2096
Skewness-0.071347594
Sum69232977
Variance5766951.4
MonotonicityNot monotonic
2023-12-11T06:37:40.818072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 39
 
0.8%
14072 31
 
0.6%
10386 30
 
0.6%
17051 27
 
0.6%
15360 26
 
0.5%
13591 23
 
0.5%
17909 23
 
0.5%
10500 23
 
0.5%
13618 22
 
0.5%
13506 21
 
0.4%
Other values (1624) 4589
94.2%
ValueCountFrequency (%)
10011 3
0.1%
10018 4
0.1%
10019 2
< 0.1%
10023 1
 
< 0.1%
10029 1
 
< 0.1%
10040 1
 
< 0.1%
10048 1
 
< 0.1%
10059 4
0.1%
10060 2
< 0.1%
10067 1
 
< 0.1%
ValueCountFrequency (%)
18626 1
 
< 0.1%
18611 3
 
0.1%
18603 1
 
< 0.1%
18600 6
0.1%
18598 3
 
0.1%
18593 8
0.2%
18592 2
 
< 0.1%
18577 1
 
< 0.1%
18571 1
 
< 0.1%
18568 2
 
< 0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct3418
Distinct (%)70.7%
Missing34
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.434113
Minimum36.960846
Maximum38.101663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.9 KiB
2023-12-11T06:37:40.923465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960846
5-th percentile37.117811
Q137.29632
median37.401119
Q337.601237
95-th percentile37.754523
Maximum38.101663
Range1.1408177
Interquartile range (IQR)0.30491792

Descriptive statistics

Standard deviation0.20030094
Coefficient of variation (CV)0.0053507596
Kurtosis-0.18150075
Mean37.434113
Median Absolute Deviation (MAD)0.12210754
Skewness0.2100777
Sum180993.94
Variance0.040120466
MonotonicityNot monotonic
2023-12-11T06:37:41.034094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3021627847 10
 
0.2%
37.4105911732 10
 
0.2%
37.3188431542 9
 
0.2%
37.3067600253 9
 
0.2%
37.504504004 9
 
0.2%
37.4080810704 9
 
0.2%
37.2520691395 9
 
0.2%
37.670269954 9
 
0.2%
37.5051300224 8
 
0.2%
37.3895629286 8
 
0.2%
Other values (3408) 4745
97.5%
(Missing) 34
 
0.7%
ValueCountFrequency (%)
36.9608455198 1
 
< 0.1%
36.9609553206 1
 
< 0.1%
36.9611007482 1
 
< 0.1%
36.9614956154 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%
36.9806819927 1
 
< 0.1%
ValueCountFrequency (%)
38.1016632559 1
< 0.1%
38.1006166517 1
< 0.1%
38.0991918519 1
< 0.1%
38.0905784202 1
< 0.1%
38.0903278355 1
< 0.1%
38.0898836317 1
< 0.1%
38.0350477269 1
< 0.1%
38.0268217558 1
< 0.1%
38.0265338548 1
< 0.1%
38.0256395132 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct3418
Distinct (%)70.7%
Missing34
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean126.99898
Minimum126.56868
Maximum127.75346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.9 KiB
2023-12-11T06:37:41.147109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56868
5-th percentile126.75196
Q1126.83211
median127.01579
Q3127.11763
95-th percentile127.27433
Maximum127.75346
Range1.1847815
Interquartile range (IQR)0.28551868

Descriptive statistics

Standard deviation0.18533609
Coefficient of variation (CV)0.001459351
Kurtosis0.53506358
Mean126.99898
Median Absolute Deviation (MAD)0.1309199
Skewness0.56221461
Sum614040.06
Variance0.034349465
MonotonicityNot monotonic
2023-12-11T06:37:41.263056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0092247016 10
 
0.2%
127.1282185032 10
 
0.2%
126.834869809 9
 
0.2%
127.0846083156 9
 
0.2%
126.7689289893 9
 
0.2%
127.2586735757 9
 
0.2%
127.0710390017 9
 
0.2%
126.7619424818 9
 
0.2%
126.7537281611 8
 
0.2%
126.9522508622 8
 
0.2%
Other values (3408) 4745
97.5%
(Missing) 34
 
0.7%
ValueCountFrequency (%)
126.5686768408 1
< 0.1%
126.5825555862 1
< 0.1%
126.5843682181 1
< 0.1%
126.5870994059 1
< 0.1%
126.5976057487 2
< 0.1%
126.5989605649 2
< 0.1%
126.6011631866 1
< 0.1%
126.601732979 1
< 0.1%
126.6222321021 1
< 0.1%
126.623439457 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%
127.6392446873 1
 
< 0.1%
127.6386455655 1
 
< 0.1%
127.6381504115 1
 
< 0.1%
127.6372797797 4
0.1%

Interactions

2023-12-11T06:37:36.803864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:36.154564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:36.489408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:36.914645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:36.254965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:36.600077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:37.022496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:36.364439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:36.693953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:37:41.338491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급소재지우편번호WGS84위도WGS84경도
시군명1.0000.1040.9910.9720.945
평가등급0.1041.0000.0770.0650.099
소재지우편번호0.9910.0771.0000.9190.857
WGS84위도0.9720.0650.9191.0000.643
WGS84경도0.9450.0990.8570.6431.000
2023-12-11T06:37:41.420455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.045
시군명0.0451.000
2023-12-11T06:37:41.489043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9040.1470.9210.040
WGS84위도-0.9041.000-0.2310.8200.034
WGS84경도0.147-0.2311.0000.7160.052
시군명0.9210.8200.7161.0000.045
평가등급0.0400.0340.0520.0451.000

Missing values

2023-12-11T06:37:37.224866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:37:37.412326image/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.
2023-12-11T06:37:37.542041image/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
0양주시양주정형외과의원처방약품비4등급경기도 양주시 평화로 1420경기도 양주시 덕계동 420-10번지 세원프라자 403호1144437.817694127.046268
1양주시양주중앙의원처방약품비5등급경기도 양주시 평화로 1410경기도 양주시 덕계동 418-9번지1144437.816856127.046511
2성남시양충모내과의원처방약품비3등급경기도 성남시 중원구 산성대로372번길 14경기도 성남시 중원구 금광동 11번지1318037.444746127.158596
3양평군양평병원처방약품비4등급경기도 양평군 양평읍 중앙로 129경기도 양평군 양평읍 공흥리 316-2번지1255037.493949127.503484
4양평군양평제일안과의원처방약품비4등급경기도 양평군 양평읍 시민로 31경기도 양평군 양평읍 양근리 180-4번지 나동 102호1255737.490415127.495034
5수원시엄마마음소아청소년과의원처방약품비5등급경기도 수원시 장안구 장안로 226경기도 수원시 장안구 정자동 395-5번지 동신종합상가 1층 30,31,32호1634037.302632126.99435
6광주시엄피부과의원처방약품비2등급경기도 광주시 중앙로 101경기도 광주시 경안동 32-3번지1275937.40882127.258423
7시흥시에덴산부인과의원처방약품비5등급경기도 시흥시 정왕대로 230경기도 시흥시 정왕동 1734-7번지 제일프라자 402호1506637.344979126.738494
8시흥시에덴의원처방약품비등급제외경기도 시흥시 정왕대로 230경기도 시흥시 정왕동 1734-7번지 제일프라자 4층1506637.344979126.738494
9용인시에스더산부인과의원처방약품비4등급경기도 용인시 수지구 용구대로 2702경기도 용인시 수지구 죽전동 1003-112번지 동춘프라자1686837.326738127.109229
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
4859부천시성심의원처방약품비1등급경기도 부천시 부일로 497경기도 부천시 심곡동 146-12번지1464237.485668126.785559
4860하남시성심의원처방약품비2등급경기도 하남시 신평로 72경기도 하남시 신장동 427-114번지1295737.53976127.206067
4861부천시성심정형외과의원처방약품비4등급경기도 부천시 경인로 110경기도 부천시 송내동 385-3번지 2층1472737.483755126.767435
4862평택시성심중앙병원처방약품비2등급경기도 평택시 안중읍 안현로서6길 16경기도 평택시 안중읍 현화리 28번지 성심중앙병원1793636.98405126.927642
4863시흥시연세정형외과의원처방약품비3등급경기도 시흥시 삼미시장1길 13경기도 시흥시 신천동 737-3번지1494837.440199126.784793
4864성남시연세제이의원처방약품비3등급경기도 성남시 분당구 성남대로 168경기도 성남시 분당구 금곡동 158번지 미도프라자 309,310호1361837.350887127.109488
4865남양주시연세제일내과의원처방약품비2등급경기도 남양주시 도농로 24경기도 남양주시 다산동 4001-29번지 부영베리홈 사랑관 2층 214호1225637.608749127.158992
4866평택시연세제일의원처방약품비5등급경기도 평택시 안중읍 안중로131번길 5경기도 평택시 안중읍 안중리 292-72번지1793336.989123126.930919
4867수원시연세제일정형외과의원처방약품비2등급경기도 수원시 팔달구 팔달로119번길 2경기도 수원시 팔달구 화서동 71-22번지1644137.279452127.003687
4868광명시연세제일정형외과의원처방약품비5등급경기도 광명시 오리로 986경기도 광명시 광명동 158-189번지 솔목타워 3-4층1420237.479851126.85386