Overview

Dataset statistics

Number of variables18
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory149.0 B

Variable types

Text4
Categorical2
Boolean8
Numeric3
DateTime1

Dataset

Description안동시 관내 국가 필수 백신에 대하여 예방접종에 참여하는 위탁 의료기관 현황(의료기관명, 대표자, 전화번호, 의료종별, 진료과, 백신종류, 우편번호, 주소 등)에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15102524/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
어린이 국가예방접종 is highly overall correlated with 건강여성첫걸음클리닉사업 and 2 other fieldsHigh correlation
건강여성첫걸음클리닉사업 is highly overall correlated with 어린이 국가예방접종 and 1 other fieldsHigh correlation
인플(어린이13세이하) is highly overall correlated with 어린이 국가예방접종 and 1 other fieldsHigh correlation
인플(임신부) is highly overall correlated with 어린이 국가예방접종 and 2 other fieldsHigh correlation
B형주산기 is highly imbalanced (60.9%)Imbalance
인플(어르신) is highly imbalanced (66.6%)Imbalance
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:15:33.734811
Analysis finished2023-12-12 21:15:35.856096
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T06:15:35.989432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length9.0461538
Min length4

Characters and Unicode

Total characters588
Distinct characters121
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row강남미래의원
2nd row건양요양병원
3rd row경대편한내과의원
4th row경북의료재단경북의원
5th row경북재활병원
ValueCountFrequency (%)
의료법인 4
 
5.3%
강남미래의원 1
 
1.3%
건양요양병원 1
 
1.3%
안흥의료재단 1
 
1.3%
용상안동병원 1
 
1.3%
안동의료재단 1
 
1.3%
대성그린병원 1
 
1.3%
송인의료재단 1
 
1.3%
유영수신경과의원 1
 
1.3%
유내과의원 1
 
1.3%
Other values (62) 62
82.7%
2023-12-13T06:15:36.323218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 73
 
12.4%
원 66
 
11.2%
과 38
 
6.5%
인 19
 
3.2%
안 19
 
3.2%
동 16
 
2.7%
료 15
 
2.6%
병 15
 
2.6%
경 13
 
2.2%
내 10
 
1.7%
Other values (111) 304
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
98.3%
Space Separator 10
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 73
 
12.6%
원 66
 
11.4%
과 38
 
6.6%
인 19
 
3.3%
안 19
 
3.3%
동 16
 
2.8%
료 15
 
2.6%
병 15
 
2.6%
경 13
 
2.2%
내 10
 
1.7%
Other values (110) 294
50.9%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
98.3%
Common 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 73
 
12.6%
원 66
 
11.4%
과 38
 
6.6%
인 19
 
3.3%
안 19
 
3.3%
동 16
 
2.8%
료 15
 
2.6%
병 15
 
2.6%
경 13
 
2.2%
내 10
 
1.7%
Other values (110) 294
50.9%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 578
98.3%
ASCII 10
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 73
 
12.6%
원 66
 
11.4%
과 38
 
6.6%
인 19
 
3.3%
안 19
 
3.3%
동 16
 
2.8%
료 15
 
2.6%
병 15
 
2.6%
경 13
 
2.2%
내 10
 
1.7%
Other values (110) 294
50.9%
ASCII
ValueCountFrequency (%)
10
100.0%

대표자
Text

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T06:15:36.519893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0307692
Min length2

Characters and Unicode

Total characters197
Distinct characters84
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)86.2%

Sample

1st row이상열
2nd row임규봉
3rd row김성욱
4th row임무호
5th row배영철
ValueCountFrequency (%)
강신홍 3
 
4.6%
이상훈 2
 
3.1%
이윤환 2
 
3.1%
임무호 2
 
3.1%
김영석 1
 
1.5%
장원 1
 
1.5%
이상열 1
 
1.5%
류형국 1
 
1.5%
김영주 1
 
1.5%
정재엽 1
 
1.5%
Other values (50) 50
76.9%
2023-12-13T06:15:36.901977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
 
6.6%
김 13
 
6.6%
상 9
 
4.6%
영 9
 
4.6%
장 6
 
3.0%
호 6
 
3.0%
성 5
 
2.5%
훈 5
 
2.5%
윤 4
 
2.0%
환 4
 
2.0%
Other values (74) 123
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
6.6%
김 13
 
6.6%
상 9
 
4.6%
영 9
 
4.6%
장 6
 
3.0%
호 6
 
3.0%
성 5
 
2.5%
훈 5
 
2.5%
윤 4
 
2.0%
환 4
 
2.0%
Other values (74) 123
62.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
6.6%
김 13
 
6.6%
상 9
 
4.6%
영 9
 
4.6%
장 6
 
3.0%
호 6
 
3.0%
성 5
 
2.5%
훈 5
 
2.5%
윤 4
 
2.0%
환 4
 
2.0%
Other values (74) 123
62.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
 
6.6%
김 13
 
6.6%
상 9
 
4.6%
영 9
 
4.6%
장 6
 
3.0%
호 6
 
3.0%
성 5
 
2.5%
훈 5
 
2.5%
윤 4
 
2.0%
환 4
 
2.0%
Other values (74) 123
62.4%

전화번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T06:15:37.147077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters780
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

Unique65 ?
Unique (%)100.0%

Sample

1st row054-857-8275
2nd row054-859-8888
3rd row054-852-2233
4th row054-823-7505
5th row054-858-8410
ValueCountFrequency (%)
054-857-8275 1
 
1.5%
054-820-1100 1
 
1.5%
054-855-7582 1
 
1.5%
054-901-0711 1
 
1.5%
054-855-5052 1
 
1.5%
054-854-6050 1
 
1.5%
054-822-7582 1
 
1.5%
054-842-0030 1
 
1.5%
054-822-8119 1
 
1.5%
054-822-7500 1
 
1.5%
Other values (55) 55
84.6%
2023-12-13T06:15:37.540937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 153
19.6%
- 130
16.7%
0 121
15.5%
8 98
12.6%
4 84
10.8%
2 49
 
6.3%
1 48
 
6.2%
7 32
 
4.1%
3 25
 
3.2%
9 22
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 650
83.3%
Dash Punctuation 130
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 153
23.5%
0 121
18.6%
8 98
15.1%
4 84
12.9%
2 49
 
7.5%
1 48
 
7.4%
7 32
 
4.9%
3 25
 
3.8%
9 22
 
3.4%
6 18
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 153
19.6%
- 130
16.7%
0 121
15.5%
8 98
12.6%
4 84
10.8%
2 49
 
6.3%
1 48
 
6.2%
7 32
 
4.1%
3 25
 
3.2%
9 22
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 153
19.6%
- 130
16.7%
0 121
15.5%
8 98
12.6%
4 84
10.8%
2 49
 
6.3%
1 48
 
6.2%
7 32
 
4.1%
3 25
 
3.2%
9 22
 
2.8%

종별구분
Categorical

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
의원
49 
요양병원
7 
병원
 
3
종합병원
 
3
정신요양병원
 
3

Length

Max length6
Median length2
Mean length2.4923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의원
2nd row요양병원
3rd row의원
4th row의원
5th row병원

Common Values

ValueCountFrequency (%)
의원 49
75.4%
요양병원 7
 
10.8%
병원 3
 
4.6%
종합병원 3
 
4.6%
정신요양병원 3
 
4.6%

Length

2023-12-13T06:15:37.672864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:15:37.775749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 49
75.4%
요양병원 7
 
10.8%
병원 3
 
4.6%
종합병원 3
 
4.6%
정신요양병원 3
 
4.6%

표시과목
Categorical

Distinct14
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
기타 또는 전체
27 
내과
10 
가정의학과
4 
이비인후과
4 
마취통증의학과
3 
Other values (9)
17 

Length

Max length8
Median length7
Mean length5.5384615
Min length2

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row기타 또는 전체
2nd row기타 또는 전체
3rd row내과
4th row기타 또는 전체
5th row재활의학과

Common Values

ValueCountFrequency (%)
기타 또는 전체 27
41.5%
내과 10
 
15.4%
가정의학과 4
 
6.2%
이비인후과 4
 
6.2%
마취통증의학과 3
 
4.6%
정형외과 3
 
4.6%
외과 3
 
4.6%
산부인과 3
 
4.6%
신경과 2
 
3.1%
소아청소년과 2
 
3.1%
Other values (4) 4
 
6.2%

Length

2023-12-13T06:15:37.875546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 27
22.7%
또는 27
22.7%
전체 27
22.7%
내과 10
 
8.4%
가정의학과 4
 
3.4%
이비인후과 4
 
3.4%
마취통증의학과 3
 
2.5%
정형외과 3
 
2.5%
외과 3
 
2.5%
산부인과 3
 
2.5%
Other values (6) 8
 
6.7%

어린이 국가예방접종
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
False
42 
True
23 
ValueCountFrequency (%)
False 42
64.6%
True 23
35.4%
2023-12-13T06:15:37.984231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

건강여성첫걸음클리닉사업
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
False
51 
True
14 
ValueCountFrequency (%)
False 51
78.5%
True 14
 
21.5%
2023-12-13T06:15:38.074280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

B형주산기
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
False
60 
True
 
5
ValueCountFrequency (%)
False 60
92.3%
True 5
 
7.7%
2023-12-13T06:15:38.147688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인플(어린이13세이하)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
False
46 
True
19 
ValueCountFrequency (%)
False 46
70.8%
True 19
29.2%
2023-12-13T06:15:38.225055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인플(어르신)
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
True
61 
False
 
4
ValueCountFrequency (%)
True 61
93.8%
False 4
 
6.2%
2023-12-13T06:15:38.302739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인플(임신부)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
False
50 
True
15 
ValueCountFrequency (%)
False 50
76.9%
True 15
 
23.1%
2023-12-13T06:15:38.372275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

폐렴구균(어르신)
Boolean

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
True
40 
False
25 
ValueCountFrequency (%)
True 40
61.5%
False 25
38.5%
2023-12-13T06:15:38.449012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

코로나19
Boolean

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size197.0 B
False
55 
True
10 
ValueCountFrequency (%)
False 55
84.6%
True 10
 
15.4%
2023-12-13T06:15:38.537145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36682.015
Minimum36616
Maximum36760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T06:15:38.622390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36616
5-th percentile36621.2
Q136653
median36694
Q336702
95-th percentile36742.2
Maximum36760
Range144
Interquartile range (IQR)49

Descriptive statistics

Standard deviation37.523531
Coefficient of variation (CV)0.0010229408
Kurtosis-0.84126622
Mean36682.015
Median Absolute Deviation (MAD)28
Skewness-0.059351641
Sum2384331
Variance1408.0154
MonotonicityNot monotonic
2023-12-13T06:15:38.744691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
36699 5
 
7.7%
36642 4
 
6.2%
36659 3
 
4.6%
36711 3
 
4.6%
36694 3
 
4.6%
36698 3
 
4.6%
36696 3
 
4.6%
36639 3
 
4.6%
36701 3
 
4.6%
36616 2
 
3.1%
Other values (26) 33
50.8%
ValueCountFrequency (%)
36616 2
3.1%
36621 2
3.1%
36622 2
3.1%
36631 1
 
1.5%
36632 1
 
1.5%
36639 3
4.6%
36640 1
 
1.5%
36642 4
6.2%
36653 1
 
1.5%
36655 1
 
1.5%
ValueCountFrequency (%)
36760 1
1.5%
36755 1
1.5%
36751 1
1.5%
36743 1
1.5%
36739 1
1.5%
36728 2
3.1%
36722 1
1.5%
36720 2
3.1%
36715 2
3.1%
36712 1
1.5%

주소
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T06:15:39.041837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.446154
Min length19

Characters and Unicode

Total characters1719
Distinct characters107
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)96.9%

Sample

1st row경상북도 안동시 강남1길 69, (정하동)
2nd row경상북도 안동시 서후면 서선길 167
3rd row경상북도 안동시 경북대로 399, (옥동) 4층
4th row경상북도 안동시 경동로 912, (용상동)
5th row경상북도 안동시 서후면 광평2길 26 광평리 211-2번지
ValueCountFrequency (%)
경상북도 65
 
17.7%
안동시 65
 
17.7%
경동로 17
 
4.6%
2층 11
 
3.0%
옥동 9
 
2.5%
경북대로 9
 
2.5%
용상동 8
 
2.2%
대안로 6
 
1.6%
송현동 6
 
1.6%
서동문로 4
 
1.1%
Other values (129) 167
45.5%
2023-12-13T06:15:39.453989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
19.3%
동 142
 
8.3%
경 91
 
5.3%
북 79
 
4.6%
안 77
 
4.5%
상 76
 
4.4%
, 69
 
4.0%
시 66
 
3.8%
도 65
 
3.8%
( 56
 
3.3%
Other values (97) 666
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 937
54.5%
Space Separator 332
 
19.3%
Decimal Number 256
 
14.9%
Other Punctuation 70
 
4.1%
Open Punctuation 56
 
3.3%
Close Punctuation 56
 
3.3%
Dash Punctuation 10
 
0.6%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 142
15.2%
경 91
 
9.7%
북 79
 
8.4%
안 77
 
8.2%
상 76
 
8.1%
시 66
 
7.0%
도 65
 
6.9%
로 47
 
5.0%
층 30
 
3.2%
길 20
 
2.1%
Other values (80) 244
26.0%
Decimal Number
ValueCountFrequency (%)
1 54
21.1%
2 40
15.6%
4 27
10.5%
7 26
10.2%
6 24
9.4%
3 21
 
8.2%
5 20
 
7.8%
0 18
 
7.0%
9 14
 
5.5%
8 12
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 69
98.6%
. 1
 
1.4%
Space Separator
ValueCountFrequency (%)
332
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 937
54.5%
Common 782
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 142
15.2%
경 91
 
9.7%
북 79
 
8.4%
안 77
 
8.2%
상 76
 
8.1%
시 66
 
7.0%
도 65
 
6.9%
로 47
 
5.0%
층 30
 
3.2%
길 20
 
2.1%
Other values (80) 244
26.0%
Common
ValueCountFrequency (%)
332
42.5%
, 69
 
8.8%
( 56
 
7.2%
) 56
 
7.2%
1 54
 
6.9%
2 40
 
5.1%
4 27
 
3.5%
7 26
 
3.3%
6 24
 
3.1%
3 21
 
2.7%
Other values (7) 77
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 937
54.5%
ASCII 782
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
332
42.5%
, 69
 
8.8%
( 56
 
7.2%
) 56
 
7.2%
1 54
 
6.9%
2 40
 
5.1%
4 27
 
3.5%
7 26
 
3.3%
6 24
 
3.1%
3 21
 
2.7%
Other values (7) 77
 
9.8%
Hangul
ValueCountFrequency (%)
동 142
15.2%
경 91
 
9.7%
북 79
 
8.4%
안 77
 
8.2%
상 76
 
8.1%
시 66
 
7.0%
도 65
 
6.9%
로 47
 
5.0%
층 30
 
3.2%
길 20
 
2.1%
Other values (80) 244
26.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.561554
Minimum36.484188
Maximum36.65099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T06:15:39.605658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.484188
5-th percentile36.539459
Q136.558108
median36.562222
Q336.564512
95-th percentile36.576615
Maximum36.65099
Range0.16680208
Interquartile range (IQR)0.00640413

Descriptive statistics

Standard deviation0.017881874
Coefficient of variation (CV)0.00048908956
Kurtosis14.380279
Mean36.561554
Median Absolute Deviation (MAD)0.00273197
Skewness0.48096217
Sum2376.501
Variance0.00031976143
MonotonicityNot monotonic
2023-12-13T06:15:39.964247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.57661463 2
 
3.1%
36.56439818 2
 
3.1%
36.55717339 2
 
3.1%
36.56134592 2
 
3.1%
36.56197239 2
 
3.1%
36.56071237 2
 
3.1%
36.56861091 2
 
3.1%
36.56253701 2
 
3.1%
36.56101229 2
 
3.1%
36.56495389 1
 
1.5%
Other values (46) 46
70.8%
ValueCountFrequency (%)
36.48418815 1
1.5%
36.52076325 1
1.5%
36.53408627 1
1.5%
36.53886487 1
1.5%
36.54183402 1
1.5%
36.54380486 1
1.5%
36.5472197 1
1.5%
36.55178479 1
1.5%
36.55382325 1
1.5%
36.55406133 1
1.5%
ValueCountFrequency (%)
36.65099023 1
1.5%
36.58561159 1
1.5%
36.58152734 1
1.5%
36.57661463 2
3.1%
36.57659499 1
1.5%
36.57528644 1
1.5%
36.56950959 1
1.5%
36.56881439 1
1.5%
36.56861091 2
3.1%
36.56793555 1
1.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.71564
Minimum128.46872
Maximum128.84295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T06:15:40.087975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.46872
5-th percentile128.6569
Q1128.70058
median128.72529
Q3128.73449
95-th percentile128.76286
Maximum128.84295
Range0.3742263
Interquartile range (IQR)0.0339155

Descriptive statistics

Standard deviation0.050106242
Coefficient of variation (CV)0.00038927858
Kurtosis10.067578
Mean128.71564
Median Absolute Deviation (MAD)0.0229272
Skewness-2.1770199
Sum8366.5167
Variance0.0025106355
MonotonicityNot monotonic
2023-12-13T06:15:40.210011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6701556 2
 
3.1%
128.7005755 2
 
3.1%
128.7460147 2
 
3.1%
128.734491 2
 
3.1%
128.7234246 2
 
3.1%
128.7275691 2
 
3.1%
128.6999654 2
 
3.1%
128.7269158 2
 
3.1%
128.7212257 2
 
3.1%
128.696491 1
 
1.5%
Other values (46) 46
70.8%
ValueCountFrequency (%)
128.4687193 1
1.5%
128.5755917 1
1.5%
128.5796497 1
1.5%
128.6535917 1
1.5%
128.6701556 2
3.1%
128.6916726 1
1.5%
128.6955228 1
1.5%
128.696491 1
1.5%
128.6980513 1
1.5%
128.6984732 1
1.5%
ValueCountFrequency (%)
128.8429456 1
1.5%
128.80625 1
1.5%
128.7906255 1
1.5%
128.7643176 1
1.5%
128.7570202 1
1.5%
128.7564304 1
1.5%
128.7539838 1
1.5%
128.7538674 1
1.5%
128.7536287 1
1.5%
128.7521909 1
1.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-13T06:15:40.304309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:40.373398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:15:35.214380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:34.711373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:34.971587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:35.299237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:34.791963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:35.054258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:35.375222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:34.880157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:15:35.133687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:15:40.439005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명대표자전화번호종별구분표시과목어린이 국가예방접종건강여성첫걸음클리닉사업B형주산기인플(어린이13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)코로나19우편번호주소위도경도
의료기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0000.0000.9960.8510.0000.0000.3070.0000.7450.5270.4780.8971.0000.9110.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
종별구분1.0000.0001.0001.0000.0000.2650.3410.3630.2680.1240.3310.0450.1870.7110.0000.6200.543
표시과목1.0000.9961.0000.0001.0000.5670.3980.6830.6410.5110.4690.5640.0000.0001.0000.4260.000
어린이 국가예방접종1.0000.8511.0000.2650.5671.0000.8630.4650.9650.0000.8880.0000.5000.0001.0000.1360.014
건강여성첫걸음클리닉사업1.0000.0001.0000.3410.3980.8631.0000.6710.6260.0000.9110.0000.6340.0001.0000.0000.000
B형주산기1.0000.0001.0000.3630.6830.4650.6711.0000.5460.0000.6430.1800.6160.0001.0000.0000.000
인플(어린이13세이하)1.0000.3071.0000.2680.6410.9650.6260.5461.0000.0000.8480.2360.6050.0001.0000.1870.000
인플(어르신)1.0000.0001.0000.1240.5110.0000.0000.0000.0001.0000.0000.0400.0000.0001.0000.4600.465
인플(임신부)1.0000.7451.0000.3310.4690.8880.9110.6430.8480.0001.0000.0000.5990.1821.0000.0000.000
폐렴구균(어르신)1.0000.5271.0000.0450.5640.0000.0000.1800.2360.0400.0001.0000.4080.0000.0000.2300.000
코로나191.0000.4781.0000.1870.0000.5000.6340.6160.6050.0000.5990.4081.0000.0001.0000.0000.000
우편번호1.0000.8971.0000.7110.0000.0000.0000.0000.0000.0000.1820.0000.0001.0001.0000.9240.777
주소1.0001.0001.0000.0001.0001.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.0001.000
위도1.0000.9111.0000.6200.4260.1360.0000.0000.1870.4600.0000.2300.0000.9241.0001.0000.931
경도1.0000.0001.0000.5430.0000.0140.0000.0000.0000.4650.0000.0000.0000.7771.0000.9311.000
2023-12-13T06:15:40.576804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인플(어린이13세이하)인플(임신부)종별구분표시과목인플(어르신)어린이 국가예방접종코로나19B형주산기건강여성첫걸음클리닉사업폐렴구균(어르신)
인플(어린이13세이하)1.0000.6440.3180.4550.0000.8300.4140.3680.4300.151
인플(임신부)0.6441.0000.3930.3270.0000.6960.4090.4450.7300.000
종별구분0.3180.3931.0000.0000.1440.3140.2220.4310.4040.043
표시과목0.4550.3270.0001.0000.3580.3990.0000.4870.2750.396
인플(어르신)0.0000.0000.1440.3581.0000.0000.0000.0000.0000.020
어린이 국가예방접종0.8300.6960.3140.3990.0001.0000.3330.3080.6620.000
코로나190.4140.4090.2220.0000.0000.3331.0000.4220.4370.267
B형주산기0.3680.4450.4310.4870.0000.3080.4221.0000.4680.114
건강여성첫걸음클리닉사업0.4300.7300.4040.2750.0000.6620.4370.4681.0000.000
폐렴구균(어르신)0.1510.0000.0430.3960.0200.0000.2670.1140.0001.000
2023-12-13T06:15:40.685774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도종별구분표시과목어린이 국가예방접종건강여성첫걸음클리닉사업B형주산기인플(어린이13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)코로나19
우편번호1.000-0.9010.7450.3920.0000.0000.0000.0000.0000.2080.1660.0000.000
위도-0.9011.000-0.5970.4520.1490.1340.0000.0000.1880.4720.0000.2330.000
경도0.745-0.5971.0000.3600.0000.0000.0000.0000.0000.4630.0000.0000.000
종별구분0.3920.4520.3601.0000.0000.3140.4040.4310.3180.1440.3930.0430.222
표시과목0.0000.1490.0000.0001.0000.3990.2750.4870.4550.3580.3270.3960.000
어린이 국가예방접종0.0000.1340.0000.3140.3991.0000.6620.3080.8300.0000.6960.0000.333
건강여성첫걸음클리닉사업0.0000.0000.0000.4040.2750.6621.0000.4680.4300.0000.7300.0000.437
B형주산기0.0000.0000.0000.4310.4870.3080.4681.0000.3680.0000.4450.1140.422
인플(어린이13세이하)0.0000.1880.0000.3180.4550.8300.4300.3681.0000.0000.6440.1510.414
인플(어르신)0.2080.4720.4630.1440.3580.0000.0000.0000.0001.0000.0000.0200.000
인플(임신부)0.1660.0000.0000.3930.3270.6960.7300.4450.6440.0001.0000.0000.409
폐렴구균(어르신)0.0000.2330.0000.0430.3960.0000.0000.1140.1510.0200.0001.0000.267
코로나190.0000.0000.0000.2220.0000.3330.4370.4220.4140.0000.4090.2671.000

Missing values

2023-12-13T06:15:35.517274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:15:35.761150image/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

의료기관명대표자전화번호종별구분표시과목어린이 국가예방접종건강여성첫걸음클리닉사업B형주산기인플(어린이13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)코로나19우편번호주소위도경도데이터기준일자
0강남미래의원이상열054-857-8275의원기타 또는 전체YNNYYNYN36751경상북도 안동시 강남1길 69, (정하동)36.54722128.7349162023-06-30
1건양요양병원임규봉054-859-8888요양병원기타 또는 전체NNNNNNYN36616경상북도 안동시 서후면 서선길 16736.585612128.6535922023-06-30
2경대편한내과의원김성욱054-852-2233의원내과NNNNYNYN36660경상북도 안동시 경북대로 399, (옥동) 4층36.561655128.7027292023-06-30
3경북의료재단경북의원임무호054-823-7505의원기타 또는 전체NNNNYNYN36720경상북도 안동시 경동로 912, (용상동)36.553823128.757022023-06-30
4경북재활병원배영철054-858-8410병원재활의학과NNNNYNYN36616경상북도 안동시 서후면 광평2길 26 광평리 211-2번지36.65099128.6984732023-06-30
5경상북도립안동노인전문요양병원경상북도지사054-851-6110요양병원기타 또는 전체NNNNYNNN36755경상북도 안동시 남후면 남일로 146336.520763128.6916732023-06-30
6경상북도안동의료원문기혁054-850-6453종합병원기타 또는 전체YYNYYYYN36694경상북도 안동시 태사2길 55, (북문동)36.565276128.7344052023-06-30
7경안마취통증의학과의원윤만모054-854-5300의원마취통증의학과NNNNYNNN36698경상북도 안동시 경동로 609, (안흥동) 2층36.560655128.7265852023-06-30
8고려연합정형외과의원백승희054-855-8111의원정형외과NNNNYNYN36660경상북도 안동시 경북대로 401, (옥동) 1,2층36.561792128.7023622023-06-30
9광제외과의원양원재054-854-2509의원외과NNNNYNNN36696경상북도 안동시 대안로 107, (대석동,1층)36.562537128.7269162023-06-30
의료기관명대표자전화번호종별구분표시과목어린이 국가예방접종건강여성첫걸음클리닉사업B형주산기인플(어린이13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)코로나19우편번호주소위도경도데이터기준일자
55이장현산부인과의원이장현054-842-6666의원산부인과YYNNNYNN36659경상북도 안동시 경북대로 423, (옥동,설광빌딩2층 201~204호)36.563593128.7010152023-06-30
56장세나내과의원장세나054-856-3368의원내과NNNNYNYN36631경상북도 안동시 경북대로 486, (송현동) 3,4층36.568611128.6999652023-06-30
57장소아청소년과의원장성진054-859-4640의원소아청소년과YYYYYYYY36642경상북도 안동시 합전2길 7, (송현동)36.567528128.7001682023-06-30
58제일외과의원문상웅054-822-7577의원외과NNNNYNYN36711경상북도 안동시 경동로 871, (1.2층)) (용상동,외 3필지36.556357128.7539842023-06-30
59차이비인후과의원차인숙054-855-7601의원이비인후과YNNYYNYN36698경상북도 안동시 대안로 76, (옥야동)36.561972128.7234252023-06-30
60최영환내과의원최영환054-855-7881의원내과NNNNYNYN36695경상북도 안동시 퇴계로 84, (서부동)36.563014128.7299262023-06-30
61최이비인후과의원최성호054-843-1380의원이비인후과YNNYYYNN36639경상북도 안동시 경북대로 433, (옥동) 메트로빌딩 5층 502호36.564398128.7005762023-06-30
62한일외과의원김영석054-857-8116의원외과NNNNYNYN36694경상북도 안동시 퇴계로 100, (북문동)36.563851128.731612023-06-30
63혜민의원장원054-852-2125의원기타 또는 전체NNNNYNYN36760경상북도 안동시 풍천면 구담배나들길 42 구담리 454-7번지36.538865128.4687192023-06-30
64혜성의원이기혁054-858-9935의원기타 또는 전체YYNYYYYY36694경상북도 안동시 태사2길 10, (북문동) 1~2층36.563832128.7333522023-06-30