Overview

Dataset statistics

Number of variables9
Number of observations1957
Missing cells61
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.5 KiB
Average record size in memory75.1 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(유소아중이염항생제) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=KQ6KDTQAU2X3JQKELYY521308877&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 40 (2.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:13:23.655046
Analysis finished2023-12-10 21:13:25.693595
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
수원시
190 
성남시
177 
용인시
153 
고양시
140 
부천시
140 
Other values (26)
1157 

Length

Max length4
Median length3
Mean length3.0940215
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안산시
2nd row시흥시
3rd row양주시
4th row의정부시
5th row파주시

Common Values

ValueCountFrequency (%)
수원시 190
 
9.7%
성남시 177
 
9.0%
용인시 153
 
7.8%
고양시 140
 
7.2%
부천시 140
 
7.2%
화성시 108
 
5.5%
남양주시 98
 
5.0%
안산시 97
 
5.0%
안양시 86
 
4.4%
의정부시 77
 
3.9%
Other values (21) 691
35.3%

Length

2023-12-11T06:13:25.757294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 190
 
9.7%
성남시 177
 
9.0%
용인시 153
 
7.8%
고양시 140
 
7.2%
부천시 140
 
7.2%
화성시 108
 
5.5%
남양주시 98
 
5.0%
안산시 97
 
5.0%
안양시 86
 
4.4%
의정부시 77
 
3.9%
Other values (21) 691
35.3%

기관명
Text

Distinct1554
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
2023-12-11T06:13:25.971010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length8.6586612
Min length3

Characters and Unicode

Total characters16945
Distinct characters414
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1370 ?
Unique (%)70.0%

Sample

1st row한사랑의원
2nd row한사랑의원
3rd row한사랑의원
4th row한사랑이비인후과의원
5th row한샘가정의학과의원
ValueCountFrequency (%)
서울이비인후과의원 14
 
0.7%
연세이비인후과의원 14
 
0.7%
상쾌한이비인후과의원 12
 
0.6%
두리이비인후과의원 11
 
0.5%
우리이비인후과의원 10
 
0.5%
수이비인후과의원 9
 
0.4%
한사랑의원 8
 
0.4%
코아이비인후과의원 7
 
0.3%
연세가정의학과의원 7
 
0.3%
김이비인후과의원 7
 
0.3%
Other values (1579) 1909
95.1%
2023-12-11T06:13:26.339072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 2026
 
12.0%
원 2010
 
11.9%
과 1418
 
8.4%
소 941
 
5.6%
이 678
 
4.0%
아 604
 
3.6%
인 598
 
3.5%
비 536
 
3.2%
후 528
 
3.1%
청 417
 
2.5%
Other values (404) 7189
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16768
99.0%
Decimal Number 95
 
0.6%
Space Separator 51
 
0.3%
Other Punctuation 8
 
< 0.1%
Uppercase Letter 8
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2026
 
12.1%
원 2010
 
12.0%
과 1418
 
8.5%
소 941
 
5.6%
이 678
 
4.0%
아 604
 
3.6%
인 598
 
3.6%
비 536
 
3.2%
후 528
 
3.1%
청 417
 
2.5%
Other values (384) 7012
41.8%
Decimal Number
ValueCountFrequency (%)
3 29
30.5%
6 28
29.5%
5 28
29.5%
2 5
 
5.3%
1 5
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
D 2
25.0%
M 2
25.0%
K 1
12.5%
S 1
12.5%
Other Punctuation
ValueCountFrequency (%)
& 5
62.5%
. 2
 
25.0%
· 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
i 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16768
99.0%
Common 165
 
1.0%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2026
 
12.1%
원 2010
 
12.0%
과 1418
 
8.5%
소 941
 
5.6%
이 678
 
4.0%
아 604
 
3.6%
인 598
 
3.6%
비 536
 
3.2%
후 528
 
3.1%
청 417
 
2.5%
Other values (384) 7012
41.8%
Common
ValueCountFrequency (%)
51
30.9%
3 29
17.6%
6 28
17.0%
5 28
17.0%
2 5
 
3.0%
) 5
 
3.0%
& 5
 
3.0%
1 5
 
3.0%
( 4
 
2.4%
. 2
 
1.2%
Other values (2) 3
 
1.8%
Latin
ValueCountFrequency (%)
C 2
16.7%
e 2
16.7%
D 2
16.7%
M 2
16.7%
K 1
8.3%
S 1
8.3%
i 1
8.3%
r 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16768
99.0%
ASCII 176
 
1.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 2026
 
12.1%
원 2010
 
12.0%
과 1418
 
8.5%
소 941
 
5.6%
이 678
 
4.0%
아 604
 
3.6%
인 598
 
3.6%
비 536
 
3.2%
후 528
 
3.1%
청 417
 
2.5%
Other values (384) 7012
41.8%
ASCII
ValueCountFrequency (%)
51
29.0%
3 29
16.5%
6 28
15.9%
5 28
15.9%
2 5
 
2.8%
) 5
 
2.8%
& 5
 
2.8%
1 5
 
2.8%
( 4
 
2.3%
. 2
 
1.1%
Other values (9) 14
 
8.0%
None
ValueCountFrequency (%)
· 1
100.0%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
유소아 급성중이염 항생제
1957 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유소아 급성중이염 항생제
2nd row유소아 급성중이염 항생제
3rd row유소아 급성중이염 항생제
4th row유소아 급성중이염 항생제
5th row유소아 급성중이염 항생제

Common Values

ValueCountFrequency (%)
유소아 급성중이염 항생제 1957
100.0%

Length

2023-12-11T06:13:26.468544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:13:26.574900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유소아 1957
33.3%
급성중이염 1957
33.3%
항생제 1957
33.3%

평가등급
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
등급제외
860 
4등급
370 
3등급
291 
1등급
192 
2등급
133 

Length

Max length4
Median length3
Mean length3.4394481
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등급제외 860
43.9%
4등급 370
18.9%
3등급 291
 
14.9%
1등급 192
 
9.8%
2등급 133
 
6.8%
5등급 111
 
5.7%

Length

2023-12-11T06:13:26.680535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:13:26.816146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등급제외 860
43.9%
4등급 370
18.9%
3등급 291
 
14.9%
1등급 192
 
9.8%
2등급 133
 
6.8%
5등급 111
 
5.7%

소재지도로명주소
Text

MISSING 

Distinct1714
Distinct (%)89.4%
Missing40
Missing (%)2.0%
Memory size15.4 KiB
2023-12-11T06:13:27.179800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.383412
Min length13

Characters and Unicode

Total characters35241
Distinct characters291
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1531 ?
Unique (%)79.9%

Sample

1st row경기도 안산시 상록구 본오로 64
2nd row경기도 시흥시 중심상가4길 18
3rd row경기도 양주시 광적면 가래비8길 7
4th row경기도 의정부시 체육로 298-13
5th row경기도 파주시 법원읍 술이홀로 893
ValueCountFrequency (%)
경기도 1917
 
21.9%
수원시 185
 
2.1%
성남시 177
 
2.0%
용인시 146
 
1.7%
부천시 137
 
1.6%
고양시 137
 
1.6%
화성시 105
 
1.2%
남양주시 95
 
1.1%
안산시 94
 
1.1%
안양시 84
 
1.0%
Other values (1702) 5659
64.8%
2023-12-11T06:13:27.749582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6819
19.3%
기 1998
 
5.7%
경 1987
 
5.6%
시 1986
 
5.6%
도 1974
 
5.6%
로 1864
 
5.3%
1 1205
 
3.4%
2 883
 
2.5%
구 882
 
2.5%
3 693
 
2.0%
Other values (281) 14950
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22353
63.4%
Space Separator 6819
 
19.3%
Decimal Number 5904
 
16.8%
Dash Punctuation 165
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1998
 
8.9%
경 1987
 
8.9%
시 1986
 
8.9%
도 1974
 
8.8%
로 1864
 
8.3%
구 882
 
3.9%
양 482
 
2.2%
길 424
 
1.9%
안 417
 
1.9%
남 392
 
1.8%
Other values (269) 9947
44.5%
Decimal Number
ValueCountFrequency (%)
1 1205
20.4%
2 883
15.0%
3 693
11.7%
4 515
8.7%
5 462
 
7.8%
0 450
 
7.6%
7 449
 
7.6%
8 436
 
7.4%
6 429
 
7.3%
9 382
 
6.5%
Space Separator
ValueCountFrequency (%)
6819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22353
63.4%
Common 12888
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1998
 
8.9%
경 1987
 
8.9%
시 1986
 
8.9%
도 1974
 
8.8%
로 1864
 
8.3%
구 882
 
3.9%
양 482
 
2.2%
길 424
 
1.9%
안 417
 
1.9%
남 392
 
1.8%
Other values (269) 9947
44.5%
Common
ValueCountFrequency (%)
6819
52.9%
1 1205
 
9.3%
2 883
 
6.9%
3 693
 
5.4%
4 515
 
4.0%
5 462
 
3.6%
0 450
 
3.5%
7 449
 
3.5%
8 436
 
3.4%
6 429
 
3.3%
Other values (2) 547
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22353
63.4%
ASCII 12888
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6819
52.9%
1 1205
 
9.3%
2 883
 
6.9%
3 693
 
5.4%
4 515
 
4.0%
5 462
 
3.6%
0 450
 
3.5%
7 449
 
3.5%
8 436
 
3.4%
6 429
 
3.3%
Other values (2) 547
 
4.2%
Hangul
ValueCountFrequency (%)
기 1998
 
8.9%
경 1987
 
8.9%
시 1986
 
8.9%
도 1974
 
8.8%
로 1864
 
8.3%
구 882
 
3.9%
양 482
 
2.2%
길 424
 
1.9%
안 417
 
1.9%
남 392
 
1.8%
Other values (269) 9947
44.5%

소재지지번주소
Text

Distinct1940
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
2023-12-11T06:13:28.109461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length51
Mean length29.767501
Min length15

Characters and Unicode

Total characters58255
Distinct characters467
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

Unique1924 ?
Unique (%)98.3%

Sample

1st row경기도 안산시 상록구 본오동 854-18번지 2층
2nd row경기도 시흥시 정왕동 1739-7번지
3rd row경기도 양주시 광적면 가납리 738-42번지 수국빌딩 2층
4th row경기도 의정부시 녹양동 412-3번지 현대프라자 301호
5th row경기도 파주시 법원읍 대능리 92-30번지
ValueCountFrequency (%)
경기도 1957
 
16.3%
2층 293
 
2.4%
3층 200
 
1.7%
수원시 190
 
1.6%
성남시 177
 
1.5%
용인시 153
 
1.3%
고양시 140
 
1.2%
부천시 140
 
1.2%
화성시 108
 
0.9%
남양주시 98
 
0.8%
Other values (3501) 8566
71.3%
2023-12-11T06:13:28.584301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10065
 
17.3%
지 2125
 
3.6%
1 2113
 
3.6%
기 2046
 
3.5%
시 2020
 
3.5%
도 2009
 
3.4%
동 2007
 
3.4%
경 1980
 
3.4%
번 1952
 
3.4%
2 1874
 
3.2%
Other values (457) 30064
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33653
57.8%
Decimal Number 12479
 
21.4%
Space Separator 10065
 
17.3%
Dash Punctuation 1460
 
2.5%
Other Punctuation 316
 
0.5%
Uppercase Letter 115
 
0.2%
Math Symbol 84
 
0.1%
Close Punctuation 36
 
0.1%
Open Punctuation 36
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2125
 
6.3%
기 2046
 
6.1%
시 2020
 
6.0%
도 2009
 
6.0%
동 2007
 
6.0%
경 1980
 
5.9%
번 1952
 
5.8%
호 1053
 
3.1%
구 910
 
2.7%
층 768
 
2.3%
Other values (412) 16783
49.9%
Uppercase Letter
ValueCountFrequency (%)
A 24
20.9%
B 22
19.1%
K 10
8.7%
S 9
 
7.8%
C 8
 
7.0%
M 5
 
4.3%
I 5
 
4.3%
H 4
 
3.5%
G 3
 
2.6%
L 3
 
2.6%
Other values (11) 22
19.1%
Decimal Number
ValueCountFrequency (%)
1 2113
16.9%
2 1874
15.0%
3 1767
14.2%
0 1717
13.8%
4 1239
9.9%
5 990
7.9%
6 771
 
6.2%
7 741
 
5.9%
8 705
 
5.6%
9 562
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 284
89.9%
. 26
 
8.2%
/ 4
 
1.3%
& 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
60.0%
p 2
 
20.0%
t 1
 
10.0%
k 1
 
10.0%
Space Separator
ValueCountFrequency (%)
10065
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1460
100.0%
Math Symbol
ValueCountFrequency (%)
~ 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33653
57.8%
Common 24476
42.0%
Latin 126
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2125
 
6.3%
기 2046
 
6.1%
시 2020
 
6.0%
도 2009
 
6.0%
동 2007
 
6.0%
경 1980
 
5.9%
번 1952
 
5.8%
호 1053
 
3.1%
구 910
 
2.7%
층 768
 
2.3%
Other values (412) 16783
49.9%
Latin
ValueCountFrequency (%)
A 24
19.0%
B 22
17.5%
K 10
 
7.9%
S 9
 
7.1%
C 8
 
6.3%
e 6
 
4.8%
M 5
 
4.0%
I 5
 
4.0%
H 4
 
3.2%
G 3
 
2.4%
Other values (16) 30
23.8%
Common
ValueCountFrequency (%)
10065
41.1%
1 2113
 
8.6%
2 1874
 
7.7%
3 1767
 
7.2%
0 1717
 
7.0%
- 1460
 
6.0%
4 1239
 
5.1%
5 990
 
4.0%
6 771
 
3.2%
7 741
 
3.0%
Other values (9) 1739
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33653
57.8%
ASCII 24601
42.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10065
40.9%
1 2113
 
8.6%
2 1874
 
7.6%
3 1767
 
7.2%
0 1717
 
7.0%
- 1460
 
5.9%
4 1239
 
5.0%
5 990
 
4.0%
6 771
 
3.1%
7 741
 
3.0%
Other values (34) 1864
 
7.6%
Hangul
ValueCountFrequency (%)
지 2125
 
6.3%
기 2046
 
6.1%
시 2020
 
6.0%
도 2009
 
6.0%
동 2007
 
6.0%
경 1980
 
5.9%
번 1952
 
5.8%
호 1053
 
3.1%
구 910
 
2.7%
층 768
 
2.3%
Other values (412) 16783
49.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1152
Distinct (%)59.0%
Missing3
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean14304.724
Minimum10018
Maximum18616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.3 KiB
2023-12-11T06:13:28.734378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10306
Q112123
median14317
Q316536.25
95-th percentile18302
Maximum18616
Range8598
Interquartile range (IQR)4413.25

Descriptive statistics

Standard deviation2506.4665
Coefficient of variation (CV)0.1752195
Kurtosis-1.1422257
Mean14304.724
Median Absolute Deviation (MAD)2209
Skewness-0.051122017
Sum27951430
Variance6282374.3
MonotonicityNot monotonic
2023-12-11T06:13:28.863106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 10
 
0.5%
10083 10
 
0.5%
13640 9
 
0.5%
17006 8
 
0.4%
18476 8
 
0.4%
12909 8
 
0.4%
13837 8
 
0.4%
14538 7
 
0.4%
11940 7
 
0.4%
14072 7
 
0.4%
Other values (1142) 1872
95.7%
ValueCountFrequency (%)
10018 2
 
0.1%
10019 2
 
0.1%
10031 1
 
0.1%
10040 1
 
0.1%
10048 1
 
0.1%
10059 1
 
0.1%
10060 1
 
0.1%
10067 1
 
0.1%
10068 1
 
0.1%
10071 6
0.3%
ValueCountFrequency (%)
18616 1
 
0.1%
18611 3
0.2%
18600 3
0.2%
18598 3
0.2%
18592 1
 
0.1%
18568 1
 
0.1%
18567 4
0.2%
18555 1
 
0.1%
18550 2
0.1%
18537 1
 
0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1742
Distinct (%)89.4%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean37.436631
Minimum36.960955
Maximum38.100617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.3 KiB
2023-12-11T06:13:28.995504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960955
5-th percentile37.10523
Q137.291689
median37.404045
Q337.618766
95-th percentile37.758227
Maximum38.100617
Range1.1396613
Interquartile range (IQR)0.32707727

Descriptive statistics

Standard deviation0.20768332
Coefficient of variation (CV)0.0055475965
Kurtosis-0.36268374
Mean37.436631
Median Absolute Deviation (MAD)0.13234553
Skewness0.1830741
Sum72926.558
Variance0.043132363
MonotonicityNot monotonic
2023-12-11T06:13:29.133658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4727049587 6
 
0.3%
37.6461163091 3
 
0.2%
37.7960692302 3
 
0.2%
37.3622442111 3
 
0.2%
37.5047701515 3
 
0.2%
37.4734922234 3
 
0.2%
37.378468074 3
 
0.2%
37.2520691395 3
 
0.2%
37.3067600253 3
 
0.2%
37.3231779493 3
 
0.2%
Other values (1732) 1915
97.9%
(Missing) 9
 
0.5%
ValueCountFrequency (%)
36.9609553206 1
0.1%
36.9632453036 1
0.1%
36.9787555958 2
0.1%
36.9789601868 1
0.1%
36.9790863294 1
0.1%
36.9847687481 1
0.1%
36.9847844212 1
0.1%
36.9848018991 1
0.1%
36.9848259449 1
0.1%
36.9848979134 1
0.1%
ValueCountFrequency (%)
38.1006166517 1
0.1%
38.0910739209 1
0.1%
38.0898836317 1
0.1%
38.027602793 1
0.1%
38.0265338548 1
0.1%
38.0256395132 1
0.1%
38.0243987043 1
0.1%
38.0235512237 1
0.1%
37.9583733138 1
0.1%
37.9542411777 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1742
Distinct (%)89.4%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean127.00158
Minimum126.58256
Maximum127.68031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.3 KiB
2023-12-11T06:13:29.275012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58256
5-th percentile126.73786
Q1126.83642
median127.03226
Q3127.1234
95-th percentile127.26418
Maximum127.68031
Range1.0977497
Interquartile range (IQR)0.28698187

Descriptive statistics

Standard deviation0.18341959
Coefficient of variation (CV)0.0014442308
Kurtosis0.27244414
Mean127.00158
Median Absolute Deviation (MAD)0.12005064
Skewness0.34949816
Sum247399.08
Variance0.033642746
MonotonicityNot monotonic
2023-12-11T06:13:29.447046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1429411379 6
 
0.3%
126.6275292303 3
 
0.2%
127.1058613326 3
 
0.2%
126.96249994 3
 
0.2%
126.7667880544 3
 
0.2%
127.1499944798 3
 
0.2%
126.7852668701 3
 
0.2%
127.0710390017 3
 
0.2%
127.0846083156 3
 
0.2%
127.0779941675 3
 
0.2%
Other values (1732) 1915
97.9%
(Missing) 9
 
0.5%
ValueCountFrequency (%)
126.5825555862 1
0.1%
126.5856269206 1
0.1%
126.5976057487 1
0.1%
126.5978618162 1
0.1%
126.5982817262 1
0.1%
126.5986406181 1
0.1%
126.6011631866 1
0.1%
126.6222321021 1
0.1%
126.623719776 1
0.1%
126.6270138759 2
0.1%
ValueCountFrequency (%)
127.6803053266 1
0.1%
127.6369058095 2
0.1%
127.6367585457 1
0.1%
127.6363312817 1
0.1%
127.6358927578 1
0.1%
127.63571373 1
0.1%
127.6333659399 1
0.1%
127.6322285834 1
0.1%
127.6319470185 1
0.1%
127.6253165893 1
0.1%

Interactions

2023-12-11T06:13:25.041925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:24.511162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:24.777489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:25.145930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:24.597618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:24.869565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:25.247390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:24.692220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:24.953973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:13:29.575882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급소재지우편번호WGS84위도WGS84경도
시군명1.0000.1350.9900.9720.948
평가등급0.1351.0000.1260.0890.041
소재지우편번호0.9900.1261.0000.9110.863
WGS84위도0.9720.0890.9111.0000.666
WGS84경도0.9480.0410.8630.6661.000
2023-12-11T06:13:29.921950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.059
시군명0.0591.000
2023-12-11T06:13:30.007472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9200.1630.9170.066
WGS84위도-0.9201.000-0.1850.8170.047
WGS84경도0.163-0.1851.0000.7250.021
시군명0.9170.8170.7251.0000.059
평가등급0.0660.0470.0210.0591.000

Missing values

2023-12-11T06:13:25.375934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:13:25.513552image/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.
2023-12-11T06:13:25.628658image/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
0안산시한사랑의원유소아 급성중이염 항생제4등급경기도 안산시 상록구 본오로 64경기도 안산시 상록구 본오동 854-18번지 2층1556137.290732126.866571
1시흥시한사랑의원유소아 급성중이염 항생제등급제외경기도 시흥시 중심상가4길 18경기도 시흥시 정왕동 1739-7번지1506637.343792126.737569
2양주시한사랑의원유소아 급성중이염 항생제등급제외경기도 양주시 광적면 가래비8길 7경기도 양주시 광적면 가납리 738-42번지 수국빌딩 2층1141937.824389126.984675
3의정부시한사랑이비인후과의원유소아 급성중이염 항생제1등급경기도 의정부시 체육로 298-13경기도 의정부시 녹양동 412-3번지 현대프라자 301호1161037.760485127.041009
4파주시한샘가정의학과의원유소아 급성중이염 항생제4등급경기도 파주시 법원읍 술이홀로 893경기도 파주시 법원읍 대능리 92-30번지1082637.850721126.873962
5오산시한솔가정의원유소아 급성중이염 항생제등급제외<NA>경기도 오산시 수청동 533번지 오산대우아파트1811837.163816127.062021
6포천시한솔정형외과의원유소아 급성중이염 항생제등급제외경기도 포천시 소흘읍 솔모루로 54경기도 포천시 소흘읍 송우리 145-7번지1117937.8271127.144979
7용인시한숲코알라이비인후과의원유소아 급성중이염 항생제5등급경기도 용인시 처인구 남사읍 한숲로 84경기도 용인시 처인구 남사읍 완장리 954번지 e편한세상용인한숲시티 201, 202, 203호1711737.155484127.17274
8남양주시한앤수연합소아청소년과의원유소아 급성중이염 항생제등급제외경기도 남양주시 금곡로 72경기도 남양주시 금곡동 153-1번지 센타플라자 303호1223737.634441127.211157
9구리시한양대학교구리병원유소아 급성중이염 항생제1등급경기도 구리시 경춘로 153경기도 구리시 교문동 249-1번지1192337.601188127.132517
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
1947광주시현대연합의원유소아 급성중이염 항생제등급제외경기도 광주시 도척면 도척로 333경기도 광주시 도척면 진우리 476번지1281437.323024127.336464
1948군포시현대이비인후과의원유소아 급성중이염 항생제등급제외경기도 군포시 고산로 251경기도 군포시 당동 871-4번지 용호프라자 403호1587537.345916126.944078
1949고양시현대이비인후과의원유소아 급성중이염 항생제등급제외경기도 고양시 덕양구 행신로 266경기도 고양시 덕양구 행신동 1081-2번지 월드타워 402호1048637.618761126.844694
1950군포시현대중앙의원유소아 급성중이염 항생제등급제외경기도 군포시 수리산로 8경기도 군포시 산본동 1151-5번지 한양수리아파트 상가동 202호,203호1582337.357879126.923687
1951안양시현대플러스의원유소아 급성중이염 항생제등급제외경기도 안양시 만안구 창박로 38경기도 안양시 만안구 안양동 1059-1번지 수리산힐스테이트아파트 102, 104호1402537.384836126.902967
1952가평군현리중앙의원유소아 급성중이염 항생제등급제외경기도 가평군 조종면 현창로38번길 3경기도 가평군 조종면 현리 265-12번지 현리중앙의원1243737.818587127.348511
1953성남시현소아청소년과의원유소아 급성중이염 항생제3등급경기도 성남시 수정구 위례광장로 320경기도 성남시 수정구 창곡동 509-2번지 아이에스센트럴타워 6층 619호1364037.472244127.142661
1954화성시현이비인후과의원유소아 급성중이염 항생제3등급경기도 화성시 동탄반석로 204경기도 화성시 반송동 88-1번지 동탄제일프라자 502호1845337.206654127.072829
1955이천시현이비인후과의원유소아 급성중이염 항생제4등급경기도 이천시 이섭대천로 1233경기도 이천시 창전동 165번지 화창빌딩 2층1736937.28039127.446587
1956평택시현화배내과의원유소아 급성중이염 항생제4등급경기도 평택시 안중읍 안현로서8길 17경기도 평택시 안중읍 현화리 837-1번지 현화메디컬센터 4층1794336.978756126.923356