Overview

Dataset statistics

Number of variables9
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory79.3 B

Variable types

Numeric3
Text4
Categorical2

Dataset

Description충청남도 당진시 에 위치한 보건소 현황 데이터로 기관명, 기관종류, 전화번호, 주소, 위도, 경도 등의 항목을 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=109&beforeMenuCd=DOM_000000201001001000&publicdatapk=15098610

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:59:07.763599
Analysis finished2024-01-09 22:59:09.044500
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-10T07:59:09.100533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-01-10T07:59:09.214932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

의료기관명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T07:59:09.407024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.0645161
Min length6

Characters and Unicode

Total characters219
Distinct characters51
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

Unique31 ?
Unique (%)100.0%

Sample

1st row신당보건진료소
2nd row석문면보건지소
3rd row합덕읍보건지소
4th row송산면보건지소
5th row순성면보건지소
ValueCountFrequency (%)
신당보건진료소 1
 
3.2%
공포보건진료소 1
 
3.2%
송악읍보건지소 1
 
3.2%
대호지면보건지소 1
 
3.2%
정미면보건지소 1
 
3.2%
삼봉보건진료소 1
 
3.2%
송학보건진료소 1
 
3.2%
아찬보건진료소 1
 
3.2%
도이보건진료소 1
 
3.2%
서정보건진료소 1
 
3.2%
Other values (21) 21
67.7%
2024-01-10T07:59:09.721318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 31
14.2%
건 31
14.2%
소 31
14.2%
진 21
 
9.6%
료 19
 
8.7%
지 13
 
5.9%
면 10
 
4.6%
당 4
 
1.8%
정 3
 
1.4%
포 3
 
1.4%
Other values (41) 53
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 31
14.2%
건 31
14.2%
소 31
14.2%
진 21
 
9.6%
료 19
 
8.7%
지 13
 
5.9%
면 10
 
4.6%
당 4
 
1.8%
정 3
 
1.4%
포 3
 
1.4%
Other values (41) 53
24.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 31
14.2%
건 31
14.2%
소 31
14.2%
진 21
 
9.6%
료 19
 
8.7%
지 13
 
5.9%
면 10
 
4.6%
당 4
 
1.8%
정 3
 
1.4%
포 3
 
1.4%
Other values (41) 53
24.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 31
14.2%
건 31
14.2%
소 31
14.2%
진 21
 
9.6%
료 19
 
8.7%
지 13
 
5.9%
면 10
 
4.6%
당 4
 
1.8%
정 3
 
1.4%
포 3
 
1.4%
Other values (41) 53
24.2%

의료기관종별
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
보건진료소
19 
보건지소
11 
보건소
 
1

Length

Max length5
Median length5
Mean length4.5806452
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row보건진료소
2nd row보건지소
3rd row보건지소
4th row보건지소
5th row보건지소

Common Values

ValueCountFrequency (%)
보건진료소 19
61.3%
보건지소 11
35.5%
보건소 1
 
3.2%

Length

2024-01-10T07:59:09.858673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:59:09.957693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 19
61.3%
보건지소 11
35.5%
보건소 1
 
3.2%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T07:59:10.109518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row041-363-8551
2nd row041-360-6180
3rd row041-360-6140
4th row041-360-6250
5th row041-360-6220
ValueCountFrequency (%)
041 10
 
19.6%
356 4
 
7.8%
353 3
 
5.9%
041-363-8551 1
 
2.0%
041-353-7872 1
 
2.0%
041-362-7735 1
 
2.0%
2865 1
 
2.0%
8185 1
 
2.0%
041-358-8067 1
 
2.0%
041-360-6230 1
 
2.0%
Other values (27) 27
52.9%
2024-01-10T07:59:10.388819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
16.7%
3 49
13.2%
- 42
11.3%
4 41
11.0%
1 40
10.8%
6 40
10.8%
5 28
7.5%
20
 
5.4%
2 19
 
5.1%
8 12
 
3.2%
Other values (2) 19
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 42
 
11.3%
Space Separator 20
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
20.0%
3 49
15.8%
4 41
13.2%
1 40
12.9%
6 40
12.9%
5 28
9.0%
2 19
 
6.1%
8 12
 
3.9%
7 10
 
3.2%
9 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
16.7%
3 49
13.2%
- 42
11.3%
4 41
11.0%
1 40
10.8%
6 40
10.8%
5 28
7.5%
20
 
5.4%
2 19
 
5.1%
8 12
 
3.2%
Other values (2) 19
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
16.7%
3 49
13.2%
- 42
11.3%
4 41
11.0%
1 40
10.8%
6 40
10.8%
5 28
7.5%
20
 
5.4%
2 19
 
5.1%
8 12
 
3.2%
Other values (2) 19
 
5.1%

도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T07:59:10.645055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length27.774194
Min length18

Characters and Unicode

Total characters861
Distinct characters94
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

Unique31 ?
Unique (%)100.0%

Sample

1st row충청남도 당진시 신평면 원신당로 60-27
2nd row충청남도 당진시 석문면 통정3길 2-1 (석문보건지소)
3rd row충청남도 당진시 합덕읍 운산로 137 (합덕보건지소)
4th row충청남도 당진시 송산면 상거중앙길 57
5th row충청남도 당진시 순성면 남부로 1146 (순성면사무소, 보건지소)
ValueCountFrequency (%)
충청남도 31
 
17.6%
당진시 31
 
17.6%
송악읍 4
 
2.3%
신평면 3
 
1.7%
석문면 3
 
1.7%
면천면 3
 
1.7%
정미면 3
 
1.7%
순성면 3
 
1.7%
우강면 3
 
1.7%
송산면 2
 
1.1%
Other values (85) 90
51.1%
2024-01-10T07:59:11.028443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
16.8%
진 44
 
5.1%
도 33
 
3.8%
당 33
 
3.8%
충 32
 
3.7%
시 32
 
3.7%
남 32
 
3.7%
청 31
 
3.6%
면 30
 
3.5%
로 22
 
2.6%
Other values (84) 427
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
64.7%
Space Separator 145
 
16.8%
Decimal Number 101
 
11.7%
Close Punctuation 22
 
2.6%
Open Punctuation 22
 
2.6%
Dash Punctuation 12
 
1.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 44
 
7.9%
도 33
 
5.9%
당 33
 
5.9%
충 32
 
5.7%
시 32
 
5.7%
남 32
 
5.7%
청 31
 
5.6%
면 30
 
5.4%
로 22
 
3.9%
소 22
 
3.9%
Other values (68) 246
44.2%
Decimal Number
ValueCountFrequency (%)
1 17
16.8%
6 15
14.9%
5 13
12.9%
2 10
9.9%
7 10
9.9%
4 9
8.9%
9 9
8.9%
8 8
7.9%
3 7
6.9%
0 3
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
64.7%
Common 304
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 44
 
7.9%
도 33
 
5.9%
당 33
 
5.9%
충 32
 
5.7%
시 32
 
5.7%
남 32
 
5.7%
청 31
 
5.6%
면 30
 
5.4%
로 22
 
3.9%
소 22
 
3.9%
Other values (68) 246
44.2%
Common
ValueCountFrequency (%)
145
47.7%
) 22
 
7.2%
( 22
 
7.2%
1 17
 
5.6%
6 15
 
4.9%
5 13
 
4.3%
- 12
 
3.9%
2 10
 
3.3%
7 10
 
3.3%
4 9
 
3.0%
Other values (6) 29
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
64.7%
ASCII 304
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
47.7%
) 22
 
7.2%
( 22
 
7.2%
1 17
 
5.6%
6 15
 
4.9%
5 13
 
4.3%
- 12
 
3.9%
2 10
 
3.3%
7 10
 
3.3%
4 9
 
3.0%
Other values (6) 29
 
9.5%
Hangul
ValueCountFrequency (%)
진 44
 
7.9%
도 33
 
5.9%
당 33
 
5.9%
충 32
 
5.7%
시 32
 
5.7%
남 32
 
5.7%
청 31
 
5.6%
면 30
 
5.4%
로 22
 
3.9%
소 22
 
3.9%
Other values (68) 246
44.2%

지번주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T07:59:11.278403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.967742
Min length17

Characters and Unicode

Total characters681
Distinct characters74
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

Unique31 ?
Unique (%)100.0%

Sample

1st row충청남도 당진시 신평면 신당리 290-1
2nd row충청남도 당진시 석문면 통정리 393-1
3rd row충청남도 당진시 합덕읍 운산리 906-1
4th row충청남도 당진시 송산면 상거리 325
5th row충청남도 당진시 순성면 봉소리 105-1
ValueCountFrequency (%)
당진시 31
20.1%
충청남도 30
19.5%
송악읍 4
 
2.6%
신평면 3
 
1.9%
면천면 3
 
1.9%
석문면 3
 
1.9%
순성면 3
 
1.9%
우강면 3
 
1.9%
정미면 3
 
1.9%
송산면 2
 
1.3%
Other values (66) 69
44.8%
2024-01-10T07:59:11.640246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
18.1%
당 34
 
5.0%
진 33
 
4.8%
도 32
 
4.7%
시 32
 
4.7%
충 31
 
4.6%
남 31
 
4.6%
청 30
 
4.4%
리 30
 
4.4%
- 28
 
4.1%
Other values (64) 277
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
59.2%
Decimal Number 127
 
18.6%
Space Separator 123
 
18.1%
Dash Punctuation 28
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 34
 
8.4%
진 33
 
8.2%
도 32
 
7.9%
시 32
 
7.9%
충 31
 
7.7%
남 31
 
7.7%
청 30
 
7.4%
리 30
 
7.4%
면 27
 
6.7%
송 8
 
2.0%
Other values (52) 115
28.5%
Decimal Number
ValueCountFrequency (%)
1 27
21.3%
2 18
14.2%
5 15
11.8%
3 12
9.4%
9 11
8.7%
6 11
8.7%
0 10
 
7.9%
4 10
 
7.9%
7 10
 
7.9%
8 3
 
2.4%
Space Separator
ValueCountFrequency (%)
123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
59.2%
Common 278
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 34
 
8.4%
진 33
 
8.2%
도 32
 
7.9%
시 32
 
7.9%
충 31
 
7.7%
남 31
 
7.7%
청 30
 
7.4%
리 30
 
7.4%
면 27
 
6.7%
송 8
 
2.0%
Other values (52) 115
28.5%
Common
ValueCountFrequency (%)
123
44.2%
- 28
 
10.1%
1 27
 
9.7%
2 18
 
6.5%
5 15
 
5.4%
3 12
 
4.3%
9 11
 
4.0%
6 11
 
4.0%
0 10
 
3.6%
4 10
 
3.6%
Other values (2) 13
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
59.2%
ASCII 278
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
44.2%
- 28
 
10.1%
1 27
 
9.7%
2 18
 
6.5%
5 15
 
5.4%
3 12
 
4.3%
9 11
 
4.0%
6 11
 
4.0%
0 10
 
3.6%
4 10
 
3.6%
Other values (2) 13
 
4.7%
Hangul
ValueCountFrequency (%)
당 34
 
8.4%
진 33
 
8.2%
도 32
 
7.9%
시 32
 
7.9%
충 31
 
7.7%
남 31
 
7.7%
청 30
 
7.4%
리 30
 
7.4%
면 27
 
6.7%
송 8
 
2.0%
Other values (52) 115
28.5%

위도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.887099
Minimum36.769669
Maximum37.051621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-10T07:59:11.771126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.769669
5-th percentile36.799008
Q136.839211
median36.883333
Q336.928356
95-th percentile36.997987
Maximum37.051621
Range0.2819519
Interquartile range (IQR)0.08914524

Descriptive statistics

Standard deviation0.06792852
Coefficient of variation (CV)0.0018415251
Kurtosis-0.15532541
Mean36.887099
Median Absolute Deviation (MAD)0.04556776
Skewness0.51246784
Sum1143.5001
Variance0.0046142838
MonotonicityNot monotonic
2024-01-10T07:59:11.888548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
36.86801405 1
 
3.2%
36.98217072 1
 
3.2%
36.88735969 1
 
3.2%
36.90401896 1
 
3.2%
36.90001832 1
 
3.2%
36.88333316 1
 
3.2%
37.01315646 1
 
3.2%
36.8377654 1
 
3.2%
36.85318058 1
 
3.2%
36.92109644 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
36.7696689 1
3.2%
36.79025427 1
3.2%
36.80776086 1
3.2%
36.81000967 1
3.2%
36.81571658 1
3.2%
36.81620982 1
3.2%
36.82758203 1
3.2%
36.8377654 1
3.2%
36.84065622 1
3.2%
36.84363796 1
3.2%
ValueCountFrequency (%)
37.0516208 1
3.2%
37.01315646 1
3.2%
36.98281761 1
3.2%
36.98217072 1
3.2%
36.96087445 1
3.2%
36.96055649 1
3.2%
36.93796008 1
3.2%
36.93213196 1
3.2%
36.92458014 1
3.2%
36.92109644 1
3.2%

경도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67055
Minimum126.43422
Maximum126.81335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-10T07:59:12.006889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.43422
5-th percentile126.51779
Q1126.59326
median126.69032
Q3126.75559
95-th percentile126.80283
Maximum126.81335
Range0.3791308
Interquartile range (IQR)0.1623313

Descriptive statistics

Standard deviation0.10204115
Coefficient of variation (CV)0.00080556329
Kurtosis-0.68023801
Mean126.67055
Median Absolute Deviation (MAD)0.0828041
Skewness-0.48359068
Sum3926.7871
Variance0.010412396
MonotonicityNot monotonic
2024-01-10T07:59:12.124763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
126.8037477 1
 
3.2%
126.590906 1
 
3.2%
126.6304725 1
 
3.2%
126.6903235 1
 
3.2%
126.5045172 1
 
3.2%
126.5687752 1
 
3.2%
126.5353089 1
 
3.2%
126.6608193 1
 
3.2%
126.7343311 1
 
3.2%
126.5310642 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
126.4342162 1
3.2%
126.5045172 1
3.2%
126.5310642 1
3.2%
126.5353089 1
3.2%
126.538378 1
3.2%
126.5548435 1
3.2%
126.5687752 1
3.2%
126.590906 1
3.2%
126.5956098 1
3.2%
126.6012582 1
3.2%
ValueCountFrequency (%)
126.813347 1
3.2%
126.8037477 1
3.2%
126.801922 1
3.2%
126.7934405 1
3.2%
126.778 1
3.2%
126.7731276 1
3.2%
126.7694239 1
3.2%
126.7659837 1
3.2%
126.7451947 1
3.2%
126.7412936 1
3.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2022-01-25
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-01-25
2nd row2022-01-25
3rd row2022-01-25
4th row2022-01-25
5th row2022-01-25

Common Values

ValueCountFrequency (%)
2022-01-25 31
100.0%

Length

2024-01-10T07:59:12.245956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:59:12.332180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-01-25 31
100.0%

Interactions

2024-01-10T07:59:08.562990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.110460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.337094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.655612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.182167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.412288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.756496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.256263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:59:08.481919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:59:12.393503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명의료기관종별전화번호도로명주소지번주소위도경도
연번1.0001.0000.4391.0001.0001.0000.6660.587
의료기관명1.0001.0001.0001.0001.0001.0001.0001.000
의료기관종별0.4391.0001.0001.0001.0001.0000.0000.446
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.000
위도0.6661.0000.0001.0001.0001.0001.0000.528
경도0.5871.0000.4461.0001.0001.0000.5281.000
2024-01-10T07:59:12.500800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도의료기관종별
연번1.0000.122-0.3470.313
위도0.1221.000-0.4610.000
경도-0.347-0.4611.0000.241
의료기관종별0.3130.0000.2411.000

Missing values

2024-01-10T07:59:08.878359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:59:08.997436image/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

연번의료기관명의료기관종별전화번호도로명주소지번주소위도경도데이터기준일자
01신당보건진료소보건진료소041-363-8551충청남도 당진시 신평면 원신당로 60-27충청남도 당진시 신평면 신당리 290-136.868014126.8037482022-01-25
12석문면보건지소보건지소041-360-6180충청남도 당진시 석문면 통정3길 2-1 (석문보건지소)충청남도 당진시 석문면 통정리 393-136.982171126.5909062022-01-25
23합덕읍보건지소보건지소041-360-6140충청남도 당진시 합덕읍 운산로 137 (합덕보건지소)충청남도 당진시 합덕읍 운산리 906-136.807761126.7694242022-01-25
34송산면보건지소보건지소041-360-6250충청남도 당진시 송산면 상거중앙길 57충청남도 당진시 송산면 상거리 32536.932132126.6788332022-01-25
45순성면보건지소보건지소041-360-6220충청남도 당진시 순성면 남부로 1146 (순성면사무소, 보건지소)충청남도 당진시 순성면 봉소리 105-136.843638126.7133332022-01-25
56본당보건진료소보건진료소041 355 7537충청남도 당진시 송악읍 종달길 8충청남도 당진시 송악읍 본당리 446-236.873396126.7149032022-01-25
67신평면보건지소보건지소041-360-6240충청남도 당진시 신평면 신평로 834충청남도 당진시 신평면 금천리 45836.885263126.7731282022-01-25
78궁리보건진료소보건진료소041 363 1429충청남도 당진시 합덕읍 상덕로 681 (궁리보건진료소)충청남도 당진시 합덕읍 대전리 65-236.769669126.7659842022-01-25
89내도보건진료소보건진료소041-356-9340충청남도 당진시 송악읍 안섬포구길 19-8 (내도보건진료소)충청남도 당진시 송악읍 고대리 162-736.982818126.7412942022-01-25
910난지도보건진료소보건진료소041 352 2068충청남도 당진시 석문면 난지1길 201 (난지도보건진료소)충청남도 당진시 석문면 난지도리 116-337.051621126.4342162022-01-25
연번의료기관명의료기관종별전화번호도로명주소지번주소위도경도데이터기준일자
2122우강면보건지소보건지소041-360-6230충청남도 당진시 우강면 솔뫼로 53 (우강보건지소)충청남도 당진시 우강면 송산리 151-4336.815717126.7782022-01-25
2223서정보건진료소보건진료소041-353-7872충청남도 당진시 송산면 송산로 821-16 (서정보건진료소)충청남도 당진시 송산면 유곡리 219-5136.960556126.6949722022-01-25
2324도이보건진료소보건진료소041 353 4639충청남도 당진시 대호지면 충장로 566-6충청남도 당진시 대호지면 도이리 119-636.921096126.5310642022-01-25
2425아찬보건진료소보건진료소041-353-5476충청남도 당진시 순성면 아찬1로 91-2 (아찬리보건소)충청남도 당진시 순성면 아찬리 297-2036.853181126.7343312022-01-25
2526송학보건진료소보건진료소041 356 3292충청남도 당진시 면천면 쇠학골길 66 (송학보건진료소)충청남도 당진시 면천면 송학리 59-436.837765126.6608192022-01-25
2627삼봉보건진료소보건진료소041 353 0822충청남도 당진시 석문면 대호로 1559 (삼봉보건진료소)충청남도 당진시 석문면 삼봉리 910-437.013156126.5353092022-01-25
2728정미면보건지소보건지소041-360-6200충청남도 당진시 정미면 정미로 687 (정미보건지소)충청남도 당진시 정미면 천의리 257-2836.883333126.5687752022-01-25
2829대호지면보건지소보건지소041-360-6190충청남도 당진시 대호지면 4.4만세로 55-1(대호지면보건소)충남 당진시 대호지면 조금리 164-236.900018126.5045172022-01-25
2930송악읍보건지소보건지소041-360-6160충청남도 당진시 송악읍 틀모시로 795 (송악보건지소)충청남도 당진시 송악읍 기지시리 301-536.904019126.6903242022-01-25
3031당진시보건소보건소041-360-6003충청남도 당진시 서부로 56 (채운동)충청남도 당진시 채운동 104036.88736126.6304722022-01-25