Overview

Dataset statistics

Number of variables9
Number of observations425
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.3 KiB
Average record size in memory75.3 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(질병-천식) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2QRQZ3XZTFUP4VQXS37R21428486&infSeq=1

Alerts

평가내역 has constant value ""Constant
평가등급 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
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:19:26.678282
Analysis finished2023-12-10 21:19:28.312346
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
고양시
39 
수원시
37 
성남시
36 
부천시
32 
안양시
27 
Other values (26)
254 

Length

Max length4
Median length3
Mean length3.1082353
Min length3

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 39
 
9.2%
수원시 37
 
8.7%
성남시 36
 
8.5%
부천시 32
 
7.5%
안양시 27
 
6.4%
용인시 25
 
5.9%
남양주시 21
 
4.9%
안산시 20
 
4.7%
의정부시 19
 
4.5%
김포시 17
 
4.0%
Other values (21) 152
35.8%

Length

2023-12-11T06:19:28.368506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 39
 
9.2%
수원시 37
 
8.7%
성남시 36
 
8.5%
부천시 32
 
7.5%
안양시 27
 
6.4%
용인시 25
 
5.9%
남양주시 21
 
4.9%
안산시 20
 
4.7%
의정부시 19
 
4.5%
김포시 17
 
4.0%
Other values (21) 152
35.8%

기관명
Text

Distinct388
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T06:19:28.531255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.4941176
Min length4

Characters and Unicode

Total characters3185
Distinct characters279
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)84.9%

Sample

1st row김앤박이비인후과의원
2nd row김영준내과의원
3rd row김원섭내과의원
4th row김이비인후과의원
5th row김정민내과의원
ValueCountFrequency (%)
서울내과의원 6
 
1.4%
정내과의원 4
 
0.9%
마음속내과의원 3
 
0.7%
연세내과의원 3
 
0.7%
속편한내과의원 3
 
0.7%
한결내과의원 3
 
0.7%
굿모닝내과의원 2
 
0.5%
의원 2
 
0.5%
우리들내과의원 2
 
0.5%
성모내과의원 2
 
0.5%
Other values (383) 401
93.0%
2023-12-11T06:19:28.855772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 452
 
14.2%
원 436
 
13.7%
과 353
 
11.1%
내 270
 
8.5%
이 78
 
2.4%
인 61
 
1.9%
비 56
 
1.8%
후 52
 
1.6%
성 52
 
1.6%
서 44
 
1.4%
Other values (269) 1331
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3156
99.1%
Decimal Number 11
 
0.3%
Space Separator 6
 
0.2%
Uppercase Letter 5
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 452
 
14.3%
원 436
 
13.8%
과 353
 
11.2%
내 270
 
8.6%
이 78
 
2.5%
인 61
 
1.9%
비 56
 
1.8%
후 52
 
1.6%
성 52
 
1.6%
서 44
 
1.4%
Other values (255) 1302
41.3%
Decimal Number
ValueCountFrequency (%)
5 3
27.3%
3 3
27.3%
1 2
18.2%
6 2
18.2%
2 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
T 1
20.0%
K 1
20.0%
O 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3156
99.1%
Common 22
 
0.7%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 452
 
14.3%
원 436
 
13.8%
과 353
 
11.2%
내 270
 
8.6%
이 78
 
2.5%
인 61
 
1.9%
비 56
 
1.8%
후 52
 
1.6%
성 52
 
1.6%
서 44
 
1.4%
Other values (255) 1302
41.3%
Common
ValueCountFrequency (%)
6
27.3%
5 3
13.6%
3 3
13.6%
) 3
13.6%
1 2
 
9.1%
6 2
 
9.1%
( 2
 
9.1%
2 1
 
4.5%
Latin
ValueCountFrequency (%)
S 2
28.6%
e 1
14.3%
h 1
14.3%
T 1
14.3%
K 1
14.3%
O 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3156
99.1%
ASCII 29
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 452
 
14.3%
원 436
 
13.8%
과 353
 
11.2%
내 270
 
8.6%
이 78
 
2.5%
인 61
 
1.9%
비 56
 
1.8%
후 52
 
1.6%
성 52
 
1.6%
서 44
 
1.4%
Other values (255) 1302
41.3%
ASCII
ValueCountFrequency (%)
6
20.7%
5 3
10.3%
3 3
10.3%
) 3
10.3%
1 2
 
6.9%
S 2
 
6.9%
6 2
 
6.9%
( 2
 
6.9%
e 1
 
3.4%
h 1
 
3.4%
Other values (4) 4
13.8%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
천식
425 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
천식 425
100.0%

Length

2023-12-11T06:19:28.965875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:29.050499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
천식 425
100.0%

평가등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
양호
425 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양호 425
100.0%

Length

2023-12-11T06:19:29.127886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:29.209447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 425
100.0%

소재지도로명주소
Text

Distinct416
Distinct (%)98.6%
Missing3
Missing (%)0.7%
Memory size3.4 KiB
2023-12-11T06:19:29.387912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length18.471564
Min length13

Characters and Unicode

Total characters7795
Distinct characters216
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

Unique410 ?
Unique (%)97.2%

Sample

1st row경기도 수원시 영통구 봉영로 1569
2nd row경기도 안산시 단원구 선부광장1로 62
3rd row경기도 고양시 일산서구 산현로 15
4th row경기도 이천시 이섭대천로 1242
5th row경기도 여주시 가남읍 태평로 53
ValueCountFrequency (%)
경기도 422
 
21.8%
고양시 38
 
2.0%
수원시 37
 
1.9%
성남시 35
 
1.8%
부천시 32
 
1.7%
안양시 27
 
1.4%
용인시 24
 
1.2%
남양주시 21
 
1.1%
안산시 20
 
1.0%
의정부시 19
 
1.0%
Other values (665) 1261
65.1%
2023-12-11T06:19:29.702511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1514
19.4%
경 446
 
5.7%
시 436
 
5.6%
기 433
 
5.6%
도 428
 
5.5%
로 409
 
5.2%
1 265
 
3.4%
구 191
 
2.5%
2 184
 
2.4%
3 155
 
2.0%
Other values (206) 3334
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4947
63.5%
Space Separator 1514
 
19.4%
Decimal Number 1303
 
16.7%
Dash Punctuation 31
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 446
 
9.0%
시 436
 
8.8%
기 433
 
8.8%
도 428
 
8.7%
로 409
 
8.3%
구 191
 
3.9%
양 147
 
3.0%
안 110
 
2.2%
길 85
 
1.7%
남 84
 
1.7%
Other values (194) 2178
44.0%
Decimal Number
ValueCountFrequency (%)
1 265
20.3%
2 184
14.1%
3 155
11.9%
4 122
9.4%
5 109
8.4%
7 102
 
7.8%
6 98
 
7.5%
0 97
 
7.4%
8 92
 
7.1%
9 79
 
6.1%
Space Separator
ValueCountFrequency (%)
1514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4947
63.5%
Common 2848
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 446
 
9.0%
시 436
 
8.8%
기 433
 
8.8%
도 428
 
8.7%
로 409
 
8.3%
구 191
 
3.9%
양 147
 
3.0%
안 110
 
2.2%
길 85
 
1.7%
남 84
 
1.7%
Other values (194) 2178
44.0%
Common
ValueCountFrequency (%)
1514
53.2%
1 265
 
9.3%
2 184
 
6.5%
3 155
 
5.4%
4 122
 
4.3%
5 109
 
3.8%
7 102
 
3.6%
6 98
 
3.4%
0 97
 
3.4%
8 92
 
3.2%
Other values (2) 110
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4947
63.5%
ASCII 2848
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1514
53.2%
1 265
 
9.3%
2 184
 
6.5%
3 155
 
5.4%
4 122
 
4.3%
5 109
 
3.8%
7 102
 
3.6%
6 98
 
3.4%
0 97
 
3.4%
8 92
 
3.2%
Other values (2) 110
 
3.9%
Hangul
ValueCountFrequency (%)
경 446
 
9.0%
시 436
 
8.8%
기 433
 
8.8%
도 428
 
8.7%
로 409
 
8.3%
구 191
 
3.9%
양 147
 
3.0%
안 110
 
2.2%
길 85
 
1.7%
남 84
 
1.7%
Other values (194) 2178
44.0%

소재지지번주소
Text

UNIQUE 

Distinct425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T06:19:29.952041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length44
Mean length30.470588
Min length14

Characters and Unicode

Total characters12950
Distinct characters337
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique425 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 영통구 영통동 960-3번지 뉴월드프라자 304호
2nd row경기도 안산시 단원구 선부동 1076-2번지 동원빌딩 308호
3rd row경기도 고양시 일산서구 탄현동 1577-4번지 무광프라자 304호
4th row경기도 이천시 창전동 457-4번지 3층
5th row경기도 여주시 가남읍 태평리 171-6번지 1층 5~8호
ValueCountFrequency (%)
경기도 425
 
16.0%
2층 67
 
2.5%
3층 50
 
1.9%
고양시 39
 
1.5%
수원시 37
 
1.4%
성남시 36
 
1.4%
부천시 32
 
1.2%
4층 29
 
1.1%
안양시 27
 
1.0%
용인시 25
 
0.9%
Other values (1109) 1882
71.0%
2023-12-11T06:19:30.334396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2224
 
17.2%
1 475
 
3.7%
지 465
 
3.6%
시 439
 
3.4%
기 439
 
3.4%
도 432
 
3.3%
경 431
 
3.3%
동 430
 
3.3%
2 428
 
3.3%
번 424
 
3.3%
Other values (327) 6763
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7360
56.8%
Decimal Number 2851
 
22.0%
Space Separator 2224
 
17.2%
Dash Punctuation 321
 
2.5%
Other Punctuation 107
 
0.8%
Uppercase Letter 39
 
0.3%
Math Symbol 33
 
0.3%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 465
 
6.3%
시 439
 
6.0%
기 439
 
6.0%
도 432
 
5.9%
경 431
 
5.9%
동 430
 
5.8%
번 424
 
5.8%
호 222
 
3.0%
층 200
 
2.7%
구 199
 
2.7%
Other values (292) 3679
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
20.5%
B 6
15.4%
C 5
12.8%
T 3
 
7.7%
E 2
 
5.1%
O 2
 
5.1%
R 2
 
5.1%
S 2
 
5.1%
V 2
 
5.1%
K 1
 
2.6%
Other values (6) 6
15.4%
Decimal Number
ValueCountFrequency (%)
1 475
16.7%
2 428
15.0%
0 403
14.1%
3 389
13.6%
4 319
11.2%
5 220
7.7%
6 187
 
6.6%
7 171
 
6.0%
8 153
 
5.4%
9 106
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 106
99.1%
. 1
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
2224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 321
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7360
56.8%
Common 5548
42.8%
Latin 42
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 465
 
6.3%
시 439
 
6.0%
기 439
 
6.0%
도 432
 
5.9%
경 431
 
5.9%
동 430
 
5.8%
번 424
 
5.8%
호 222
 
3.0%
층 200
 
2.7%
구 199
 
2.7%
Other values (292) 3679
50.0%
Latin
ValueCountFrequency (%)
A 8
19.0%
B 6
14.3%
C 5
11.9%
T 3
 
7.1%
E 2
 
4.8%
O 2
 
4.8%
R 2
 
4.8%
Ⅲ 2
 
4.8%
S 2
 
4.8%
V 2
 
4.8%
Other values (8) 8
19.0%
Common
ValueCountFrequency (%)
2224
40.1%
1 475
 
8.6%
2 428
 
7.7%
0 403
 
7.3%
3 389
 
7.0%
- 321
 
5.8%
4 319
 
5.7%
5 220
 
4.0%
6 187
 
3.4%
7 171
 
3.1%
Other values (7) 411
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7360
56.8%
ASCII 5587
43.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2224
39.8%
1 475
 
8.5%
2 428
 
7.7%
0 403
 
7.2%
3 389
 
7.0%
- 321
 
5.7%
4 319
 
5.7%
5 220
 
3.9%
6 187
 
3.3%
7 171
 
3.1%
Other values (23) 450
 
8.1%
Hangul
ValueCountFrequency (%)
지 465
 
6.3%
시 439
 
6.0%
기 439
 
6.0%
도 432
 
5.9%
경 431
 
5.9%
동 430
 
5.8%
번 424
 
5.8%
호 222
 
3.0%
층 200
 
2.7%
구 199
 
2.7%
Other values (292) 3679
50.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct360
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14078.915
Minimum10018
Maximum18600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:19:30.464127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10277
Q111940
median14006
Q316329
95-th percentile18113
Maximum18600
Range8582
Interquartile range (IQR)4389

Descriptive statistics

Standard deviation2485.9112
Coefficient of variation (CV)0.17656979
Kurtosis-1.1332107
Mean14078.915
Median Absolute Deviation (MAD)2191
Skewness0.040356539
Sum5983539
Variance6179754.4
MonotonicityNot monotonic
2023-12-11T06:19:30.642706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17051 3
 
0.7%
15865 3
 
0.7%
10386 3
 
0.7%
17363 3
 
0.7%
10500 3
 
0.7%
14709 3
 
0.7%
12804 3
 
0.7%
12084 3
 
0.7%
15862 2
 
0.5%
18321 2
 
0.5%
Other values (350) 397
93.4%
ValueCountFrequency (%)
10018 2
0.5%
10059 1
0.2%
10060 1
0.2%
10073 1
0.2%
10080 1
0.2%
10083 2
0.5%
10103 1
0.2%
10105 1
0.2%
10108 1
0.2%
10109 1
0.2%
ValueCountFrequency (%)
18600 2
0.5%
18591 1
0.2%
18476 1
0.2%
18472 1
0.2%
18453 2
0.5%
18414 1
0.2%
18398 1
0.2%
18321 2
0.5%
18313 1
0.2%
18302 1
0.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct419
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.446369
Minimum36.960955
Maximum38.02564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:19:30.779108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960955
5-th percentile37.138698
Q137.297188
median37.40744
Q337.623214
95-th percentile37.756869
Maximum38.02564
Range1.0646842
Interquartile range (IQR)0.32602617

Descriptive statistics

Standard deviation0.20586723
Coefficient of variation (CV)0.0054976552
Kurtosis-0.38732717
Mean37.446369
Median Absolute Deviation (MAD)0.13520541
Skewness0.16646553
Sum15914.707
Variance0.042381314
MonotonicityNot monotonic
2023-12-11T06:19:30.914293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6852992365 2
 
0.5%
37.3067600253 2
 
0.5%
37.3504537248 2
 
0.5%
37.7191961874 2
 
0.5%
37.3576105787 2
 
0.5%
37.7110969665 2
 
0.5%
37.3198388788 1
 
0.2%
37.3859956976 1
 
0.2%
37.359254626 1
 
0.2%
37.3975269717 1
 
0.2%
Other values (409) 409
96.2%
ValueCountFrequency (%)
36.9609553206 1
0.2%
36.9787555958 1
0.2%
36.9806819927 1
0.2%
36.9881523917 1
0.2%
36.9898542258 1
0.2%
36.9912796065 1
0.2%
36.9942951949 1
0.2%
36.9965104665 1
0.2%
37.0071462158 1
0.2%
37.0075094264 1
0.2%
ValueCountFrequency (%)
38.0256395132 1
0.2%
37.9592303481 1
0.2%
37.9530792501 1
0.2%
37.9096325441 1
0.2%
37.9087318202 1
0.2%
37.9054371701 1
0.2%
37.9043639757 1
0.2%
37.8975808514 1
0.2%
37.8926900343 1
0.2%
37.8914712335 1
0.2%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct419
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00235
Minimum126.59864
Maximum127.63675
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:19:31.063022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59864
5-th percentile126.74585
Q1126.83726
median127.00052
Q3127.11969
95-th percentile127.31962
Maximum127.63675
Range1.0381098
Interquartile range (IQR)0.28243765

Descriptive statistics

Standard deviation0.18815419
Coefficient of variation (CV)0.0014815017
Kurtosis0.36432032
Mean127.00235
Median Absolute Deviation (MAD)0.13807434
Skewness0.52789292
Sum53975.997
Variance0.035401998
MonotonicityNot monotonic
2023-12-11T06:19:31.239306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7771837715 2
 
0.5%
127.0846083156 2
 
0.5%
126.9448347609 2
 
0.5%
127.1838916342 2
 
0.5%
126.9334110705 2
 
0.5%
126.7458472261 2
 
0.5%
127.0870983468 1
 
0.2%
126.9317064456 1
 
0.2%
126.9303949917 1
 
0.2%
126.9229651827 1
 
0.2%
Other values (409) 409
96.2%
ValueCountFrequency (%)
126.5986406181 1
0.2%
126.6011631866 1
0.2%
126.6228753128 1
0.2%
126.6275192643 1
0.2%
126.666513227 1
0.2%
126.6666969603 1
0.2%
126.6683606272 1
0.2%
126.68187307 1
0.2%
126.6971466908 1
0.2%
126.7001053475 1
0.2%
ValueCountFrequency (%)
127.6367504612 1
0.2%
127.6358927578 1
0.2%
127.6310802657 1
0.2%
127.5462256829 1
0.2%
127.543612057 1
0.2%
127.5136817902 1
0.2%
127.4951811015 1
0.2%
127.4846517708 1
0.2%
127.4797133174 1
0.2%
127.4475224635 1
0.2%

Interactions

2023-12-11T06:19:27.684337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:27.179660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:27.417121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:27.766973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:27.251712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:27.496500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:28.038723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:27.330073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:27.578873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:19:31.336284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명소재지우편번호WGS84위도WGS84경도
시군명1.0000.9930.9660.951
소재지우편번호0.9931.0000.9320.875
WGS84위도0.9660.9321.0000.665
WGS84경도0.9510.8750.6651.000
2023-12-11T06:19:31.418432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.8960.1790.919
WGS84위도-0.8961.000-0.2250.775
WGS84경도0.179-0.2251.0000.719
시군명0.9190.7750.7191.000

Missing values

2023-12-11T06:19:28.150127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:19:28.260092image/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.

Sample

시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0수원시김앤박이비인후과의원천식양호경기도 수원시 영통구 봉영로 1569경기도 수원시 영통구 영통동 960-3번지 뉴월드프라자 304호1670337.252069127.071039
1안산시김영준내과의원천식양호경기도 안산시 단원구 선부광장1로 62경기도 안산시 단원구 선부동 1076-2번지 동원빌딩 308호1523937.336285126.811303
2고양시김원섭내과의원천식양호경기도 고양시 일산서구 산현로 15경기도 고양시 일산서구 탄현동 1577-4번지 무광프라자 304호1034337.689602126.763203
3이천시김이비인후과의원천식양호경기도 이천시 이섭대천로 1242경기도 이천시 창전동 457-4번지 3층1736337.281229127.447229
4여주시김정민내과의원천식양호경기도 여주시 가남읍 태평로 53경기도 여주시 가남읍 태평리 171-6번지 1층 5~8호1266237.204694127.543612
5구리시김찬규이비인후과의원천식양호경기도 구리시 경춘로 226경기도 구리시 수택동 404-3번지1192837.600501127.140575
6김포시김포참조은내과의원천식양호경기도 김포시 양촌읍 양곡2로 50경기도 김포시 양촌읍 양곡리 1305-4번지 아름터프라자 303,304호1006037.655688126.627519
7의정부시나음내과의원천식양호경기도 의정부시 시민로 31경기도 의정부시 의정부동 486-11번지 네오타워빌딩 2층1167337.738547127.038716
8화성시남양수내과의원천식양호경기도 화성시 남양읍 남양성지로 151경기도 화성시 남양읍 남양리 1268-12번지 현대프라자 302호1826137.20975126.819318
9안산시내마음내과의원천식양호경기도 안산시 단원구 예술대학로 17경기도 안산시 단원구 고잔동 534-3번지 중앙노블레스 504호,505호1536037.318672126.836497
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
415구리시구리황내과의원천식양호경기도 구리시 건원대로 79경기도 구리시 인창동 382-8번지 우진빌딩5층,6층(일부) 5층1191837.608048127.13859
416고양시굿모닝내과의원천식양호경기도 고양시 덕양구 호국로 803경기도 고양시 덕양구 주교동 620-5번지 동세청자아,상가 206호1046237.657818126.837084
417남양주시굿모닝이비인후과의원천식양호경기도 남양주시 퇴계원읍 퇴계원로 46경기도 남양주시 퇴계원읍 퇴계원리 255-13번지 신한빌딩 4층1212237.650737127.142
418수원시권내과의원천식양호경기도 수원시 영통구 중부대로246번길 48-2경기도 수원시 영통구 매탄동 172-42번지1653037.273061127.041684
419이천시금강메디컬의원천식양호경기도 이천시 이섭대천로 1272경기도 이천시 창전동 449-8번지1736337.283933127.447363
420의정부시길내과의원천식양호경기도 의정부시 평화로 660경기도 의정부시 가능동 17-1번지 동진빌딩 3층1168537.750873127.044826
421파주시김기범내과의원천식양호경기도 파주시 가온로 27경기도 파주시 목동동 2-127번지 월드메르디앙1차아파트 상가동 201호1089337.727041126.742996
422남양주시김내과의원천식양호경기도 남양주시 가운로 2경기도 남양주시 다산동 4114-18번지 원무상가 3층1225937.605961127.158132
423고양시김내과의원천식양호경기도 고양시 일산동구 일산로 214경기도 고양시 일산동구 마두동 728번지 화성프라자 2층1041737.655488126.789853
424안산시김성봉내과의원천식양호경기도 안산시 상록구 용신로 393경기도 안산시 상록구 본오동 874-8번지 청암빌딩 210,304호1553237.301887126.865914