Overview

Dataset statistics

Number of variables9
Number of observations2743
Missing cells2815
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory203.7 KiB
Average record size in memory76.0 B

Variable types

Categorical1
Text4
Numeric3
Unsupported1

Dataset

Description어린이 국가 예방접종 지정의료기관 현황
Author질병관리본부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=9IFLNMEVZYJPRWPWSN8Y20888313&infSeq=1

Alerts

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 62 (2.3%) missing valuesMissing
지정일자 has 2743 (100.0%) missing valuesMissing
지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:16:09.933861
Analysis finished2023-12-10 22:16:12.074903
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
수원시
261 
성남시
237 
용인시
218 
부천시
209 
고양시
193 
Other values (26)
1625 

Length

Max length4
Median length3
Mean length3.1042654
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row의정부시
2nd row하남시
3rd row파주시
4th row용인시
5th row고양시

Common Values

ValueCountFrequency (%)
수원시 261
 
9.5%
성남시 237
 
8.6%
용인시 218
 
7.9%
부천시 209
 
7.6%
고양시 193
 
7.0%
남양주시 157
 
5.7%
안산시 150
 
5.5%
화성시 135
 
4.9%
안양시 131
 
4.8%
의정부시 110
 
4.0%
Other values (21) 942
34.3%

Length

2023-12-11T07:16:12.133629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 261
 
9.5%
성남시 237
 
8.6%
용인시 218
 
7.9%
부천시 209
 
7.6%
고양시 193
 
7.0%
남양주시 157
 
5.7%
안산시 150
 
5.5%
화성시 135
 
4.9%
안양시 131
 
4.8%
의정부시 110
 
4.0%
Other values (21) 942
34.3%

시설명
Text

Distinct2214
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T07:16:12.374661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length8.3795115
Min length3

Characters and Unicode

Total characters22985
Distinct characters455
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

Unique1974 ?
Unique (%)72.0%

Sample

1st row가능성모의원
2nd row가람이비인후과의원
3rd row가온삼성가정의학과의원
4th row가정이편한가정의학과의원
5th row가좌우리소아과의원
ValueCountFrequency (%)
상쾌한이비인후과의원 12
 
0.4%
연세가정의학과의원 11
 
0.4%
서울이비인후과의원 10
 
0.4%
우리소아청소년과의원 10
 
0.4%
연세이비인후과의원 9
 
0.3%
서울가정의학과의원 9
 
0.3%
삼성키즈소아청소년과의원 9
 
0.3%
봄소아청소년과의원 8
 
0.3%
두리이비인후과의원 8
 
0.3%
서울소아청소년과의원 8
 
0.3%
Other values (2245) 2710
96.6%
2023-12-11T07:16:12.780978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 2837
 
12.3%
원 2817
 
12.3%
과 1959
 
8.5%
소 1263
 
5.5%
아 817
 
3.6%
인 645
 
2.8%
이 605
 
2.6%
청 558
 
2.4%
년 548
 
2.4%
내 488
 
2.1%
Other values (445) 10448
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22769
99.1%
Decimal Number 108
 
0.5%
Space Separator 61
 
0.3%
Uppercase Letter 18
 
0.1%
Other Punctuation 10
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2837
 
12.5%
원 2817
 
12.4%
과 1959
 
8.6%
소 1263
 
5.5%
아 817
 
3.6%
인 645
 
2.8%
이 605
 
2.7%
청 558
 
2.5%
년 548
 
2.4%
내 488
 
2.1%
Other values (420) 10232
44.9%
Uppercase Letter
ValueCountFrequency (%)
M 5
27.8%
D 3
16.7%
S 3
16.7%
C 2
 
11.1%
I 1
 
5.6%
L 1
 
5.6%
K 1
 
5.6%
H 1
 
5.6%
B 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
3 30
27.8%
6 29
26.9%
5 29
26.9%
2 10
 
9.3%
1 9
 
8.3%
7 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
＆ 3
30.0%
· 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
i 2
40.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22769
99.1%
Common 193
 
0.8%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2837
 
12.5%
원 2817
 
12.4%
과 1959
 
8.6%
소 1263
 
5.5%
아 817
 
3.6%
인 645
 
2.8%
이 605
 
2.7%
청 558
 
2.5%
년 548
 
2.4%
내 488
 
2.1%
Other values (420) 10232
44.9%
Common
ValueCountFrequency (%)
61
31.6%
3 30
15.5%
6 29
15.0%
5 29
15.0%
2 10
 
5.2%
1 9
 
4.7%
) 7
 
3.6%
. 6
 
3.1%
( 6
 
3.1%
＆ 3
 
1.6%
Other values (3) 3
 
1.6%
Latin
ValueCountFrequency (%)
M 5
21.7%
D 3
13.0%
S 3
13.0%
e 2
 
8.7%
i 2
 
8.7%
C 2
 
8.7%
I 1
 
4.3%
L 1
 
4.3%
K 1
 
4.3%
H 1
 
4.3%
Other values (2) 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22769
99.1%
ASCII 212
 
0.9%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 2837
 
12.5%
원 2817
 
12.4%
과 1959
 
8.6%
소 1263
 
5.5%
아 817
 
3.6%
인 645
 
2.8%
이 605
 
2.7%
청 558
 
2.5%
년 548
 
2.4%
내 488
 
2.1%
Other values (420) 10232
44.9%
ASCII
ValueCountFrequency (%)
61
28.8%
3 30
14.2%
6 29
13.7%
5 29
13.7%
2 10
 
4.7%
1 9
 
4.2%
) 7
 
3.3%
. 6
 
2.8%
( 6
 
2.8%
M 5
 
2.4%
Other values (13) 20
 
9.4%
None
ValueCountFrequency (%)
＆ 3
75.0%
· 1
 
25.0%

전화번호
Text

Distinct2739
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T07:16:13.090887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006927
Min length11

Characters and Unicode

Total characters32935
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2735 ?
Unique (%)99.7%

Sample

1st row031-826-9567
2nd row031-792-5262
3rd row031-945-0050
4th row031-284-0775
5th row031-922-9077
ValueCountFrequency (%)
031-881-5522 2
 
0.1%
031-225-8677 2
 
0.1%
031-356-0533 2
 
0.1%
031-317-8375 2
 
0.1%
032-675-3005 1
 
< 0.1%
031-766-5305 1
 
< 0.1%
032-323-7504 1
 
< 0.1%
031-421-0275 1
 
< 0.1%
031-426-9505 1
 
< 0.1%
031-781-8600 1
 
< 0.1%
Other values (2729) 2729
99.5%
2023-12-11T07:16:13.482966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5486
16.7%
0 4722
14.3%
3 4516
13.7%
1 4213
12.8%
5 2584
7.8%
7 2519
7.6%
2 2441
7.4%
8 1905
 
5.8%
6 1571
 
4.8%
9 1553
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27449
83.3%
Dash Punctuation 5486
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4722
17.2%
3 4516
16.5%
1 4213
15.3%
5 2584
9.4%
7 2519
9.2%
2 2441
8.9%
8 1905
6.9%
6 1571
 
5.7%
9 1553
 
5.7%
4 1425
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 5486
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32935
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5486
16.7%
0 4722
14.3%
3 4516
13.7%
1 4213
12.8%
5 2584
7.8%
7 2519
7.6%
2 2441
7.4%
8 1905
 
5.8%
6 1571
 
4.8%
9 1553
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32935
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5486
16.7%
0 4722
14.3%
3 4516
13.7%
1 4213
12.8%
5 2584
7.8%
7 2519
7.6%
2 2441
7.4%
8 1905
 
5.8%
6 1571
 
4.8%
9 1553
 
4.7%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1395
Distinct (%)51.0%
Missing8
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14295.935
Minimum10018
Maximum18616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2023-12-11T07:16:13.628779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10340
Q112151
median14327
Q316488.5
95-th percentile18145.3
Maximum18616
Range8598
Interquartile range (IQR)4337.5

Descriptive statistics

Standard deviation2440.1899
Coefficient of variation (CV)0.17069118
Kurtosis-1.0932277
Mean14295.935
Median Absolute Deviation (MAD)2162
Skewness-0.048940185
Sum39099381
Variance5954526.8
MonotonicityNot monotonic
2023-12-11T07:16:13.823133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 17
 
0.6%
15239 12
 
0.4%
12909 11
 
0.4%
10083 11
 
0.4%
11940 11
 
0.4%
17006 10
 
0.4%
14072 10
 
0.4%
10071 9
 
0.3%
17051 9
 
0.3%
18476 9
 
0.3%
Other values (1385) 2626
95.7%
ValueCountFrequency (%)
10018 3
 
0.1%
10019 2
 
0.1%
10031 1
 
< 0.1%
10048 1
 
< 0.1%
10059 2
 
0.1%
10060 1
 
< 0.1%
10062 1
 
< 0.1%
10067 2
 
0.1%
10070 1
 
< 0.1%
10071 9
0.3%
ValueCountFrequency (%)
18616 1
 
< 0.1%
18611 5
0.2%
18610 1
 
< 0.1%
18603 1
 
< 0.1%
18600 5
0.2%
18598 3
0.1%
18594 1
 
< 0.1%
18593 1
 
< 0.1%
18592 2
 
0.1%
18567 3
0.1%

소재지지번주소
Text

Distinct2722
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T07:16:14.112704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length30.406125
Min length14

Characters and Unicode

Total characters83404
Distinct characters516
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2702 ?
Unique (%)98.5%

Sample

1st row경기도 의정부시 가능동 701-26번지 하나빌딩 2층
2nd row경기도 하남시 신장동 427-394번지 태산빌딩 3층
3rd row경기도 파주시 와동동 1365-3번지 신운정프라자 302호
4th row경기도 용인시 기흥구 영덕동 14-4번지 기흥대정프라자 302호
5th row경기도 고양시 일산서구 가좌동 1087번지 가좌동가좌마을 상가동 204호
ValueCountFrequency (%)
경기도 2743
 
16.0%
2층 401
 
2.3%
3층 263
 
1.5%
수원시 261
 
1.5%
성남시 237
 
1.4%
용인시 218
 
1.3%
부천시 209
 
1.2%
고양시 193
 
1.1%
남양주시 157
 
0.9%
안산시 150
 
0.9%
Other values (4780) 12265
71.7%
2023-12-11T07:16:14.601696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14360
 
17.2%
1 3047
 
3.7%
지 3005
 
3.6%
동 2914
 
3.5%
기 2893
 
3.5%
시 2848
 
3.4%
도 2829
 
3.4%
경 2774
 
3.3%
2 2747
 
3.3%
번 2738
 
3.3%
Other values (506) 43249
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48326
57.9%
Decimal Number 17974
 
21.6%
Space Separator 14360
 
17.2%
Dash Punctuation 2187
 
2.6%
Uppercase Letter 178
 
0.2%
Math Symbol 119
 
0.1%
Close Punctuation 102
 
0.1%
Open Punctuation 97
 
0.1%
Other Punctuation 34
 
< 0.1%
Lowercase Letter 23
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3005
 
6.2%
동 2914
 
6.0%
기 2893
 
6.0%
시 2848
 
5.9%
도 2829
 
5.9%
경 2774
 
5.7%
번 2738
 
5.7%
호 1462
 
3.0%
구 1300
 
2.7%
층 1105
 
2.3%
Other values (448) 24458
50.6%
Uppercase Letter
ValueCountFrequency (%)
A 38
21.3%
B 24
13.5%
C 17
9.6%
S 14
 
7.9%
I 10
 
5.6%
K 9
 
5.1%
M 8
 
4.5%
H 8
 
4.5%
L 7
 
3.9%
D 6
 
3.4%
Other values (13) 37
20.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
26.1%
a 3
13.0%
t 2
 
8.7%
k 2
 
8.7%
o 2
 
8.7%
n 2
 
8.7%
s 1
 
4.3%
r 1
 
4.3%
y 1
 
4.3%
p 1
 
4.3%
Other values (2) 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 3047
17.0%
2 2747
15.3%
3 2521
14.0%
0 2422
13.5%
4 1778
9.9%
5 1411
7.9%
7 1107
 
6.2%
6 1096
 
6.1%
8 1001
 
5.6%
9 844
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 26
76.5%
/ 5
 
14.7%
& 1
 
2.9%
@ 1
 
2.9%
, 1
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
14360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2187
100.0%
Math Symbol
ValueCountFrequency (%)
~ 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48326
57.9%
Common 34874
41.8%
Latin 204
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3005
 
6.2%
동 2914
 
6.0%
기 2893
 
6.0%
시 2848
 
5.9%
도 2829
 
5.9%
경 2774
 
5.7%
번 2738
 
5.7%
호 1462
 
3.0%
구 1300
 
2.7%
층 1105
 
2.3%
Other values (448) 24458
50.6%
Latin
ValueCountFrequency (%)
A 38
18.6%
B 24
 
11.8%
C 17
 
8.3%
S 14
 
6.9%
I 10
 
4.9%
K 9
 
4.4%
M 8
 
3.9%
H 8
 
3.9%
L 7
 
3.4%
D 6
 
2.9%
Other values (27) 63
30.9%
Common
ValueCountFrequency (%)
14360
41.2%
1 3047
 
8.7%
2 2747
 
7.9%
3 2521
 
7.2%
0 2422
 
6.9%
- 2187
 
6.3%
4 1778
 
5.1%
5 1411
 
4.0%
7 1107
 
3.2%
6 1096
 
3.1%
Other values (11) 2198
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48326
57.9%
ASCII 35075
42.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14360
40.9%
1 3047
 
8.7%
2 2747
 
7.8%
3 2521
 
7.2%
0 2422
 
6.9%
- 2187
 
6.2%
4 1778
 
5.1%
5 1411
 
4.0%
7 1107
 
3.2%
6 1096
 
3.1%
Other values (46) 2399
 
6.8%
Hangul
ValueCountFrequency (%)
지 3005
 
6.2%
동 2914
 
6.0%
기 2893
 
6.0%
시 2848
 
5.9%
도 2829
 
5.9%
경 2774
 
5.7%
번 2738
 
5.7%
호 1462
 
3.0%
구 1300
 
2.7%
층 1105
 
2.3%
Other values (448) 24458
50.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

소재지도로명주소
Text

MISSING 

Distinct2305
Distinct (%)86.0%
Missing62
Missing (%)2.3%
Memory size21.6 KiB
2023-12-11T07:16:14.917881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.412533
Min length13

Characters and Unicode

Total characters49364
Distinct characters300
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

Unique2005 ?
Unique (%)74.8%

Sample

1st row경기도 의정부시 호국로 1125
2nd row경기도 하남시 신평로 62
3rd row경기도 파주시 와석순환로 431
4th row경기도 용인시 기흥구 덕영대로2077번길 16
5th row경기도 고양시 일산서구 가좌1로 8
ValueCountFrequency (%)
경기도 2681
 
21.9%
수원시 257
 
2.1%
성남시 235
 
1.9%
용인시 209
 
1.7%
부천시 206
 
1.7%
고양시 187
 
1.5%
남양주시 152
 
1.2%
안산시 147
 
1.2%
화성시 131
 
1.1%
안양시 127
 
1.0%
Other values (1988) 7896
64.6%
2023-12-11T07:16:15.384267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9547
19.3%
시 2800
 
5.7%
경 2796
 
5.7%
기 2796
 
5.7%
도 2753
 
5.6%
로 2599
 
5.3%
1 1653
 
3.3%
구 1256
 
2.5%
2 1211
 
2.5%
3 953
 
1.9%
Other values (290) 21000
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31301
63.4%
Space Separator 9547
 
19.3%
Decimal Number 8274
 
16.8%
Dash Punctuation 242
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2800
 
8.9%
경 2796
 
8.9%
기 2796
 
8.9%
도 2753
 
8.8%
로 2599
 
8.3%
구 1256
 
4.0%
양 709
 
2.3%
안 632
 
2.0%
길 598
 
1.9%
남 550
 
1.8%
Other values (278) 13812
44.1%
Decimal Number
ValueCountFrequency (%)
1 1653
20.0%
2 1211
14.6%
3 953
11.5%
4 711
8.6%
5 685
8.3%
7 648
 
7.8%
6 642
 
7.8%
0 624
 
7.5%
8 602
 
7.3%
9 545
 
6.6%
Space Separator
ValueCountFrequency (%)
9547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31301
63.4%
Common 18063
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2800
 
8.9%
경 2796
 
8.9%
기 2796
 
8.9%
도 2753
 
8.8%
로 2599
 
8.3%
구 1256
 
4.0%
양 709
 
2.3%
안 632
 
2.0%
길 598
 
1.9%
남 550
 
1.8%
Other values (278) 13812
44.1%
Common
ValueCountFrequency (%)
9547
52.9%
1 1653
 
9.2%
2 1211
 
6.7%
3 953
 
5.3%
4 711
 
3.9%
5 685
 
3.8%
7 648
 
3.6%
6 642
 
3.6%
0 624
 
3.5%
8 602
 
3.3%
Other values (2) 787
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31301
63.4%
ASCII 18063
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9547
52.9%
1 1653
 
9.2%
2 1211
 
6.7%
3 953
 
5.3%
4 711
 
3.9%
5 685
 
3.8%
7 648
 
3.6%
6 642
 
3.6%
0 624
 
3.5%
8 602
 
3.3%
Other values (2) 787
 
4.4%
Hangul
ValueCountFrequency (%)
시 2800
 
8.9%
경 2796
 
8.9%
기 2796
 
8.9%
도 2753
 
8.8%
로 2599
 
8.3%
구 1256
 
4.0%
양 709
 
2.3%
안 632
 
2.0%
길 598
 
1.9%
남 550
 
1.8%
Other values (278) 13812
44.1%

지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2743
Missing (%)100.0%
Memory size24.2 KiB

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2360
Distinct (%)86.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.434801
Minimum36.960887
Maximum38.099136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2023-12-11T07:16:15.531314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960887
5-th percentile37.117632
Q137.295534
median37.401844
Q337.608334
95-th percentile37.749953
Maximum38.099136
Range1.1382499
Interquartile range (IQR)0.3127998

Descriptive statistics

Standard deviation0.20058147
Coefficient of variation (CV)0.0053581551
Kurtosis-0.36456573
Mean37.434801
Median Absolute Deviation (MAD)0.12590845
Skewness0.14800302
Sum102646.22
Variance0.040232926
MonotonicityNot monotonic
2023-12-11T07:16:15.700700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4726011 5
 
0.2%
37.3020679 5
 
0.2%
37.3067342 4
 
0.1%
37.2970237 4
 
0.1%
37.390439 4
 
0.1%
37.3894738 4
 
0.1%
37.3364751 4
 
0.1%
37.7959524 4
 
0.1%
37.2519874 4
 
0.1%
37.360197 4
 
0.1%
Other values (2350) 2700
98.4%
ValueCountFrequency (%)
36.9608865 1
< 0.1%
36.9610215 1
< 0.1%
36.9631882 1
< 0.1%
36.9643038 1
< 0.1%
36.9786912 1
< 0.1%
36.9788864 1
< 0.1%
36.9790242 1
< 0.1%
36.9806004 1
< 0.1%
36.9841274 1
< 0.1%
36.9847181 1
< 0.1%
ValueCountFrequency (%)
38.0991364 1
< 0.1%
38.0909716 1
< 0.1%
38.0898101 1
< 0.1%
37.9997877 1
< 0.1%
37.958238 1
< 0.1%
37.957545 1
< 0.1%
37.9544868 1
< 0.1%
37.9090181 1
< 0.1%
37.9089361 1
< 0.1%
37.9087741 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct2362
Distinct (%)86.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean127.00432
Minimum126.59764
Maximum127.64164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2023-12-11T07:16:15.847548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59764
5-th percentile126.73909
Q1126.83835
median127.02857
Q3127.12443
95-th percentile127.28804
Maximum127.64164
Range1.0440015
Interquartile range (IQR)0.2860854

Descriptive statistics

Standard deviation0.1872139
Coefficient of variation (CV)0.001474075
Kurtosis0.46269427
Mean127.00432
Median Absolute Deviation (MAD)0.12414275
Skewness0.47836431
Sum348245.85
Variance0.035049044
MonotonicityNot monotonic
2023-12-11T07:16:15.992436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0091757 5
 
0.2%
127.1423476 5
 
0.2%
126.9521687 4
 
0.1%
127.0844687 4
 
0.1%
126.8106888 4
 
0.1%
126.7373884 4
 
0.1%
127.1058377 4
 
0.1%
127.6358643 4
 
0.1%
126.9295113 4
 
0.1%
127.0709738 4
 
0.1%
Other values (2352) 2700
98.4%
ValueCountFrequency (%)
126.5976384 1
< 0.1%
126.5978623 1
< 0.1%
126.5982325 1
< 0.1%
126.5989451 1
< 0.1%
126.6011164 1
< 0.1%
126.6017588 1
< 0.1%
126.6220935 1
< 0.1%
126.6234532 1
< 0.1%
126.6237287 1
< 0.1%
126.6254529 1
< 0.1%
ValueCountFrequency (%)
127.6416399 1
 
< 0.1%
127.6391058 1
 
< 0.1%
127.6385709 1
 
< 0.1%
127.6372475 2
0.1%
127.6368566 2
0.1%
127.6366885 1
 
< 0.1%
127.6362744 1
 
< 0.1%
127.6358643 4
0.1%
127.6355001 1
 
< 0.1%
127.6354734 1
 
< 0.1%

Interactions

2023-12-11T07:16:11.388264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:10.824360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:11.112806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:11.478914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:10.906108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:11.212356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:11.582013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:11.001231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:16:11.306987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:16:16.073636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명소재지우편번호WGS84위도WGS84경도
시군명1.0000.9910.9680.955
소재지우편번호0.9911.0000.9120.870
WGS84위도0.9680.9121.0000.688
WGS84경도0.9550.8700.6881.000
2023-12-11T07:16:16.175235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9140.1260.922
WGS84위도-0.9141.000-0.1750.799
WGS84경도0.126-0.1751.0000.749
시군명0.9220.7990.7491.000

Missing values

2023-12-11T07:16:11.720222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:16:11.879439image/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.
2023-12-11T07:16:12.008274image/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

시군명시설명전화번호소재지우편번호소재지지번주소소재지도로명주소지정일자WGS84위도WGS84경도
0의정부시가능성모의원031-826-956711658경기도 의정부시 가능동 701-26번지 하나빌딩 2층경기도 의정부시 호국로 1125<NA>37.742793127.028795
1하남시가람이비인후과의원031-792-526212957경기도 하남시 신장동 427-394번지 태산빌딩 3층경기도 하남시 신평로 62<NA>37.53885127.205448
2파주시가온삼성가정의학과의원031-945-005010894경기도 파주시 와동동 1365-3번지 신운정프라자 302호경기도 파주시 와석순환로 431<NA>37.723566126.753104
3용인시가정이편한가정의학과의원031-284-077517095경기도 용인시 기흥구 영덕동 14-4번지 기흥대정프라자 302호경기도 용인시 기흥구 덕영대로2077번길 16<NA>37.268125127.096445
4고양시가좌우리소아과의원031-922-907710211경기도 고양시 일산서구 가좌동 1087번지 가좌동가좌마을 상가동 204호경기도 고양시 일산서구 가좌1로 8<NA>37.690959126.720573
5부천시가톨릭대학교부천성모병원032-1577-067514647경기도 부천시 소사동 2번지경기도 부천시 소사로 327<NA>37.486957126.792349
6의정부시가톨릭대학교의정부성모병원031-1661-750011765경기도 의정부시 금오동 65-1번지경기도 의정부시 천보로 271<NA>37.758287127.077654
7용인시강남병원031-300-078217064경기도 용인시 기흥구 신갈동 65-3번지경기도 용인시 기흥구 중부대로 411<NA>37.273573127.11147
8평택시강남뷰베스트의원031-692-278917909경기도 평택시 평택동 292-6번지 3층 5층경기도 평택시 중앙2로 25<NA>36.991689127.089815
9오산시강남성모이비인후과의원031-376-500518109경기도 오산시 금암동 516-4번지 세교프라자 303호경기도 오산시 수청로 193<NA>37.176529127.045311
시군명시설명전화번호소재지우편번호소재지지번주소소재지도로명주소지정일자WGS84위도WGS84경도
2733고양시허유재병원031-817-110010401경기도 고양시 일산동구 장항동 780번지 지하1층~1층2층일부3~5층6층일부8층경기도 고양시 일산동구 중앙로 1317<NA>37.662822126.7699
2734평택시현가정의원031-654-087517872경기도 평택시 비전동 878-2번지경기도 평택시 평남로 722<NA>36.994245127.114307
2735성남시현내과의원031-717-208113613경기도 성남시 분당구 금곡동 192번지 분당두산위브 109-311호경기도 성남시 분당구 정자일로 55<NA>37.355256127.105154
2736김포시현내과의원031-985-954010073경기도 김포시 운양동 1297-1번지 한강베네치아 212213호경기도 김포시 김포한강11로 288-5<NA>37.655326126.681725
2737이천시현대가정의원031-636-727217328경기도 이천시 부발읍 신하리 394-34번지 -경기도 이천시 부발읍 경충대로 2257<NA>37.260244127.475709
2738수원시현대가정의학과의원031-202-796916713경기도 수원시 영통구 영통동 1054-3번지 영통동신명.한국아파트 216호경기도 수원시 영통구 봉영로1770번길 21<NA>37.268045127.083942
2739남양주시파스텔이비인후과의원031-555-507512175경기도 남양주시 화도읍 마석우리 383-1번지 정길프라자 4층 404405호경기도 남양주시 화도읍 비룡로 58<NA>37.657141127.301937
2740파주시파주미래아동병원070-4702-250010905경기도 파주시 동패동 1759번지 형성프라자 56층경기도 파주시 와석순환로 133<NA>37.712098126.745068
2741파주시파주우리엠앤엠소아청소년과의원031-942-758210924경기도 파주시 금촌동 948-1번지 준성빌딩 3층경기도 파주시 시청로 2<NA>37.757701126.77421
2742시흥시파티마외과의원031-317-434114964경기도 시흥시 월곶동 1010-4번지 풍림프라자경기도 시흥시 월곶중앙로70번길 3<NA>37.390439126.737388