Overview

Dataset statistics

Number of variables8
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory70.2 B

Variable types

Numeric3
Text4
DateTime1

Dataset

Description충청남도 보령시에 위치한 예방접종 위탁의료기관 현황 목록으로 의료기관명, 지번주소, 도로명주소, 위도, 경도, 전화번호 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15114874/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:51:26.915711
Analysis finished2023-12-12 03:51:28.635449
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T12:51:28.704898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-12T12:51:28.845034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

의료기관명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T12:51:29.089462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.195122
Min length4

Characters and Unicode

Total characters295
Distinct characters93
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row(신)제일병원
2nd row강이비인후과의원
3rd row고려의원
4th row고려정형외과의원
5th row고석만내과의원
ValueCountFrequency (%)
신)제일병원 1
 
2.4%
웅천외과의원 1
 
2.4%
위대항외과의원 1
 
2.4%
유내과의원 1
 
2.4%
유이비인후과의원 1
 
2.4%
윤산부인과의원 1
 
2.4%
대천중앙병원 1
 
2.4%
임채남내과의원 1
 
2.4%
보령아산병원 1
 
2.4%
정유조의원 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T12:51:29.461783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 44
 
14.9%
의 41
 
13.9%
과 29
 
9.8%
외 9
 
3.1%
내 8
 
2.7%
정 7
 
2.4%
천 7
 
2.4%
소 6
 
2.0%
대 6
 
2.0%
인 4
 
1.4%
Other values (83) 134
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
99.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 44
 
15.0%
의 41
 
14.0%
과 29
 
9.9%
외 9
 
3.1%
내 8
 
2.7%
정 7
 
2.4%
천 7
 
2.4%
소 6
 
2.0%
대 6
 
2.0%
인 4
 
1.4%
Other values (81) 132
45.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
99.3%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 44
 
15.0%
의 41
 
14.0%
과 29
 
9.9%
외 9
 
3.1%
내 8
 
2.7%
정 7
 
2.4%
천 7
 
2.4%
소 6
 
2.0%
대 6
 
2.0%
인 4
 
1.4%
Other values (81) 132
45.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
99.3%
ASCII 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 44
 
15.0%
의 41
 
14.0%
과 29
 
9.9%
외 9
 
3.1%
내 8
 
2.7%
정 7
 
2.4%
천 7
 
2.4%
소 6
 
2.0%
대 6
 
2.0%
인 4
 
1.4%
Other values (81) 132
45.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

지번주소
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T12:51:29.677885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.756098
Min length14

Characters and Unicode

Total characters769
Distinct characters37
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

Unique39 ?
Unique (%)95.1%

Sample

1st row충청남도 보령시 궁촌동 156-35
2nd row충청남도 보령시 대천동 332-4
3rd row충청남도 보령시 웅천읍 대창리 722-5
4th row충청남도 보령시 대천동 428-1
5th row충청남도 보령시 대천동 438-9
ValueCountFrequency (%)
충청남도 41
24.3%
보령시 41
24.3%
대천동 23
13.6%
명천동 5
 
3.0%
웅천읍 4
 
2.4%
대창리 4
 
2.4%
동대동 4
 
2.4%
죽정동 2
 
1.2%
345-43 2
 
1.2%
468-15 1
 
0.6%
Other values (42) 42
24.9%
2023-12-12T12:51:30.077025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
16.9%
충 41
 
5.3%
남 41
 
5.3%
도 41
 
5.3%
보 41
 
5.3%
령 41
 
5.3%
시 41
 
5.3%
청 41
 
5.3%
동 40
 
5.2%
- 36
 
4.7%
Other values (27) 276
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
55.3%
Decimal Number 178
23.1%
Space Separator 130
 
16.9%
Dash Punctuation 36
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 41
9.6%
남 41
9.6%
도 41
9.6%
보 41
9.6%
령 41
9.6%
시 41
9.6%
청 41
9.6%
동 40
9.4%
천 33
7.8%
대 31
7.3%
Other values (15) 34
8.0%
Decimal Number
ValueCountFrequency (%)
1 35
19.7%
3 25
14.0%
4 24
13.5%
5 18
10.1%
2 18
10.1%
8 18
10.1%
6 14
 
7.9%
7 12
 
6.7%
9 11
 
6.2%
0 3
 
1.7%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
55.3%
Common 344
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 41
9.6%
남 41
9.6%
도 41
9.6%
보 41
9.6%
령 41
9.6%
시 41
9.6%
청 41
9.6%
동 40
9.4%
천 33
7.8%
대 31
7.3%
Other values (15) 34
8.0%
Common
ValueCountFrequency (%)
130
37.8%
- 36
 
10.5%
1 35
 
10.2%
3 25
 
7.3%
4 24
 
7.0%
5 18
 
5.2%
2 18
 
5.2%
8 18
 
5.2%
6 14
 
4.1%
7 12
 
3.5%
Other values (2) 14
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
55.3%
ASCII 344
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
37.8%
- 36
 
10.5%
1 35
 
10.2%
3 25
 
7.3%
4 24
 
7.0%
5 18
 
5.2%
2 18
 
5.2%
8 18
 
5.2%
6 14
 
4.1%
7 12
 
3.5%
Other values (2) 14
 
4.1%
Hangul
ValueCountFrequency (%)
충 41
9.6%
남 41
9.6%
도 41
9.6%
보 41
9.6%
령 41
9.6%
시 41
9.6%
청 41
9.6%
동 40
9.4%
천 33
7.8%
대 31
7.3%
Other values (15) 34
8.0%

도로명주소
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T12:51:30.385475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length23.780488
Min length19

Characters and Unicode

Total characters975
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row충청남도 보령시 대해로 52, (궁촌동)
2nd row충청남도 보령시 번영로 31, (대천동) 2층
3rd row충청남도 보령시 웅천읍 장터중앙길 153, 1층
4th row충청남도 보령시 해태로 10, (대천동)
5th row충청남도 보령시 번영로 13, (대천동)
ValueCountFrequency (%)
충청남도 41
19.0%
보령시 41
19.0%
대천동 21
 
9.7%
동대동 7
 
3.2%
2층 6
 
2.8%
대흥로 5
 
2.3%
번영로 4
 
1.9%
주공로 4
 
1.9%
웅천읍 4
 
1.9%
명천동 3
 
1.4%
Other values (64) 80
37.0%
2023-12-12T12:51:30.912753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
20.7%
남 45
 
4.6%
보 43
 
4.4%
동 43
 
4.4%
충 42
 
4.3%
령 42
 
4.3%
청 42
 
4.3%
도 41
 
4.2%
시 41
 
4.2%
대 41
 
4.2%
Other values (65) 393
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
57.7%
Space Separator 202
 
20.7%
Decimal Number 99
 
10.2%
Other Punctuation 39
 
4.0%
Open Punctuation 35
 
3.6%
Close Punctuation 35
 
3.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 45
 
8.0%
보 43
 
7.6%
동 43
 
7.6%
충 42
 
7.5%
령 42
 
7.5%
청 42
 
7.5%
도 41
 
7.3%
시 41
 
7.3%
대 41
 
7.3%
로 36
 
6.4%
Other values (50) 147
26.1%
Decimal Number
ValueCountFrequency (%)
1 19
19.2%
2 19
19.2%
3 12
12.1%
5 10
10.1%
6 9
9.1%
4 7
 
7.1%
0 6
 
6.1%
7 6
 
6.1%
9 6
 
6.1%
8 5
 
5.1%
Space Separator
ValueCountFrequency (%)
202
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
57.7%
Common 412
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 45
 
8.0%
보 43
 
7.6%
동 43
 
7.6%
충 42
 
7.5%
령 42
 
7.5%
청 42
 
7.5%
도 41
 
7.3%
시 41
 
7.3%
대 41
 
7.3%
로 36
 
6.4%
Other values (50) 147
26.1%
Common
ValueCountFrequency (%)
202
49.0%
, 39
 
9.5%
( 35
 
8.5%
) 35
 
8.5%
1 19
 
4.6%
2 19
 
4.6%
3 12
 
2.9%
5 10
 
2.4%
6 9
 
2.2%
4 7
 
1.7%
Other values (5) 25
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
57.7%
ASCII 412
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
49.0%
, 39
 
9.5%
( 35
 
8.5%
) 35
 
8.5%
1 19
 
4.6%
2 19
 
4.6%
3 12
 
2.9%
5 10
 
2.4%
6 9
 
2.2%
4 7
 
1.7%
Other values (5) 25
 
6.1%
Hangul
ValueCountFrequency (%)
남 45
 
8.0%
보 43
 
7.6%
동 43
 
7.6%
충 42
 
7.5%
령 42
 
7.5%
청 42
 
7.5%
도 41
 
7.3%
시 41
 
7.3%
대 41
 
7.3%
로 36
 
6.4%
Other values (50) 147
26.1%

위도
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.340935
Minimum36.230453
Maximum36.480885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T12:51:31.122021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.230453
5-th percentile36.233267
Q136.344733
median36.349986
Q336.351054
95-th percentile36.358885
Maximum36.480885
Range0.2504321
Interquartile range (IQR)0.0063210048

Descriptive statistics

Standard deviation0.042333864
Coefficient of variation (CV)0.0011649085
Kurtosis5.2433579
Mean36.340935
Median Absolute Deviation (MAD)0.0026186038
Skewness-0.78673547
Sum1489.9784
Variance0.0017921561
MonotonicityNot monotonic
2023-12-12T12:51:31.295597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
36.3510542753 2
 
4.9%
36.343641239 1
 
2.4%
36.349986276 1
 
2.4%
36.3451688799 1
 
2.4%
36.3504140963 1
 
2.4%
36.3496660025 1
 
2.4%
36.3523537231 1
 
2.4%
36.3588848006 1
 
2.4%
36.3509313029 1
 
2.4%
36.3811494565 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
36.2304533964 1
2.4%
36.2329437506 1
2.4%
36.2332670103 1
2.4%
36.2339109976 1
2.4%
36.3119579808 1
2.4%
36.3426774086 1
2.4%
36.343641239 1
2.4%
36.3441317764 1
2.4%
36.3442889682 1
2.4%
36.3445673825 1
2.4%
ValueCountFrequency (%)
36.4808854994 1
2.4%
36.3811494565 1
2.4%
36.3588848006 1
2.4%
36.3529042569 1
2.4%
36.3526712367 1
2.4%
36.3526048798 1
2.4%
36.3524779394 1
2.4%
36.3523537231 1
2.4%
36.3511196138 1
2.4%
36.3510542753 2
4.9%

경도
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59431
Minimum126.51409
Maximum126.62284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T12:51:31.483624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.51409
5-th percentile126.59125
Q1126.5935
median126.59675
Q3126.59992
95-th percentile126.60916
Maximum126.62284
Range0.10875327
Interquartile range (IQR)0.006419922

Descriptive statistics

Standard deviation0.018051577
Coefficient of variation (CV)0.0001425939
Kurtosis13.878601
Mean126.59431
Median Absolute Deviation (MAD)0.00324442
Skewness-3.4914233
Sum5190.3667
Variance0.00032585943
MonotonicityNot monotonic
2023-12-12T12:51:31.758191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
126.5912536653 2
 
4.9%
126.593612743 1
 
2.4%
126.5935734198 1
 
2.4%
126.6026614139 1
 
2.4%
126.5967485351 1
 
2.4%
126.5933626401 1
 
2.4%
126.5937774651 1
 
2.4%
126.6027577163 1
 
2.4%
126.592108667 1
 
2.4%
126.6228444599 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
126.5140911892 1
2.4%
126.5271788369 1
2.4%
126.5912536653 2
4.9%
126.5916447167 1
2.4%
126.592108667 1
2.4%
126.5922955664 1
2.4%
126.5927204714 1
2.4%
126.5930765695 1
2.4%
126.5933626401 1
2.4%
126.5935041151 1
2.4%
ValueCountFrequency (%)
126.6228444599 1
2.4%
126.6109442528 1
2.4%
126.6091619414 1
2.4%
126.6080673621 1
2.4%
126.6027577163 1
2.4%
126.602687272 1
2.4%
126.6026614139 1
2.4%
126.6023416319 1
2.4%
126.6016288008 1
2.4%
126.6007203338 1
2.4%

전화번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T12:51:32.109940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique41 ?
Unique (%)100.0%

Sample

1st row041-931-8330
2nd row041-931-5979
3rd row041-932-5324
4th row041-931-7373
5th row041-935-3525
ValueCountFrequency (%)
041-931-8330 1
 
2.4%
041-931-2777 1
 
2.4%
041-936-1175 1
 
2.4%
041-931-5888 1
 
2.4%
041-936-1283 1
 
2.4%
041-935-6232 1
 
2.4%
041-936-2222 1
 
2.4%
041-935-7578 1
 
2.4%
041-930-5114 1
 
2.4%
041-935-7827 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T12:51:32.647506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.7%
1 65
13.2%
3 61
12.4%
0 59
12.0%
9 52
10.6%
4 49
10.0%
5 34
6.9%
7 28
 
5.7%
2 25
 
5.1%
8 20
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 65
15.9%
3 61
14.9%
0 59
14.4%
9 52
12.7%
4 49
12.0%
5 34
8.3%
7 28
6.8%
2 25
 
6.1%
8 20
 
4.9%
6 17
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.7%
1 65
13.2%
3 61
12.4%
0 59
12.0%
9 52
10.6%
4 49
10.0%
5 34
6.9%
7 28
 
5.7%
2 25
 
5.1%
8 20
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.7%
1 65
13.2%
3 61
12.4%
0 59
12.0%
9 52
10.6%
4 49
10.0%
5 34
6.9%
7 28
 
5.7%
2 25
 
5.1%
8 20
 
4.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-06-21 00:00:00
Maximum2023-06-21 00:00:00
2023-12-12T12:51:32.829902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:32.965033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:51:28.091609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:27.341107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:27.733788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:28.193084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:27.485872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:27.880804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:28.287654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:27.615146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:51:27.992179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:51:33.084171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명지번주소도로명주소위도경도전화번호
연번1.0001.0000.9450.9450.0000.0001.000
의료기관명1.0001.0001.0001.0001.0001.0001.000
지번주소0.9451.0001.0001.0001.0001.0001.000
도로명주소0.9451.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.9121.000
경도0.0001.0001.0001.0000.9121.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-12T12:51:33.249547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.1210.016
위도0.1211.000-0.459
경도0.016-0.4591.000

Missing values

2023-12-12T12:51:28.440381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:51:28.584046image/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

연번의료기관명지번주소도로명주소위도경도전화번호데이터기준일자
01(신)제일병원충청남도 보령시 궁촌동 156-35충청남도 보령시 대해로 52, (궁촌동)36.343641126.593613041-931-83302023-06-21
12강이비인후과의원충청남도 보령시 대천동 332-4충청남도 보령시 번영로 31, (대천동) 2층36.35112126.593077041-931-59792023-06-21
23고려의원충청남도 보령시 웅천읍 대창리 722-5충청남도 보령시 웅천읍 장터중앙길 153, 1층36.233911126.598742041-932-53242023-06-21
34고려정형외과의원충청남도 보령시 대천동 428-1충청남도 보령시 해태로 10, (대천동)36.352904126.59272041-931-73732023-06-21
45고석만내과의원충청남도 보령시 대천동 438-9충청남도 보령시 번영로 13, (대천동)36.352478126.593814041-935-35252023-06-21
56대천방사선과의원충청남도 보령시 대천동 197-24충청남도 보령시 남대천로 29, (대천동)36.350692126.594921041-936-65652023-06-21
67대천배방사선과의원충청남도 보령시 대천동 183-13충청남도 보령시 대천로 19, (대천동)36.350683126.596828041-932-97772023-06-21
78대천우리의원충청남도 보령시 대천동 345-43충청남도 보령시 대흥로 74, (대천동)36.351054126.591254041-935-10902023-06-21
89명소아청소년과의원충청남도 보령시 명천동 486-38충청남도 보령시 중앙로 15, (명천동, 메디빌,인승빌딩) 2층36.346057126.598701041-936-73602023-06-21
910명천가정의원충청남도 보령시 명천동 389충청남도 보령시 주공로 65, (명천동)36.342677126.608067041-935-42322023-06-21
연번의료기관명지번주소도로명주소위도경도전화번호데이터기준일자
3132조진원내과의원충청남도 보령시 대천동 334-4충청남도 보령시 대흥로 50-6, (대천동) 2층36.349986126.593573041-932-99902023-06-21
3233중앙재활의학과의원충청남도 보령시 대천동 618-55충청남도 보령시 중앙로 56, (대천동)36.350079126.597821041-935-99912023-06-21
3334참산부인과의원충청남도 보령시 대천동 345-43충청남도 보령시 대흥로 74, (대천동)36.351054126.591254041-936-91002023-06-21
3435천북의원충청남도 보령시 천북면 하만리 149-5충청남도 보령시 천북면 홍보로 48636.480885126.527179041-641-82712023-06-21
3536최정욱내과의원충청남도 보령시 동대동 481-3충청남도 보령시 한내로 73, (동대동)36.344567126.610944041-931-02112023-06-21
3637푸른정형외과의원충청남도 보령시 명천동 468-15충청남도 보령시 보령남로 9, (명천동) 104호36.344132126.599924041-931-23862023-06-21
3738하나외과의원충청남도 보령시 대천동 325-11충청남도 보령시 남대천로 58, (대천동)36.348746126.593504041-934-82002023-06-21
3839한양마취통증의학과의원충청남도 보령시 대천동 182-1충청남도 보령시 대천로 26, (대천동)36.350928126.597431041-935-55362023-06-21
3940허준소아청소년과의원충청남도 보령시 명천동 1053충청남도 보령시 주공로 22, (동대동)36.344289126.602687041-936-75122023-06-21
4041현대성모외과의원충청남도 보령시 대천동 431-5충청남도 보령시 행복로 20 (대천동)36.352671126.591645041-935-88002023-06-21