Overview

Dataset statistics

Number of variables10
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory84.2 B

Variable types

Numeric3
Text3
Categorical4

Dataset

Description인천광역시 미추홀구내의 백신위탁기관에 대한 데이터입니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15087020

Alerts

화이자 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
얀센 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
모더나 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
아스트라제네카 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
연번 is highly overall correlated with 화이자 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 화이자 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 화이자 and 3 other fieldsHigh correlation
모더나 is highly imbalanced (61.4%)Imbalance
아스트라제네카 is highly imbalanced (68.6%)Imbalance
연번 has unique valuesUnique
기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:16:09.329336
Analysis finished2024-01-28 12:16:10.533942
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.5
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T21:16:10.614129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.25
Q127.25
median53.5
Q379.75
95-th percentile100.75
Maximum106
Range105
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation30.743563
Coefficient of variation (CV)0.57464604
Kurtosis-1.2
Mean53.5
Median Absolute Deviation (MAD)26.5
Skewness0
Sum5671
Variance945.16667
MonotonicityStrictly increasing
2024-01-28T21:16:11.084114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
81 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
72 1
 
0.9%
Other values (96) 96
90.6%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%
97 1
0.9%

기관명
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-01-28T21:16:11.270680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.8962264
Min length4

Characters and Unicode

Total characters837
Distinct characters157
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)100.0%

Sample

1st row365아이맘의원
2nd row굿모닝가정의학과의원
3rd row그린소아청소년과의원
4th row기독내과의원
5th row김가정의원
ValueCountFrequency (%)
의료법인 2
 
1.8%
365아이맘의원 1
 
0.9%
이선덕가정의학과의원 1
 
0.9%
정앤정내과소아청소년과의원 1
 
0.9%
정내과의원 1
 
0.9%
전외과의원 1
 
0.9%
인하소아과의원 1
 
0.9%
인천제일의원 1
 
0.9%
인천제일산부인과의원 1
 
0.9%
인천의원 1
 
0.9%
Other values (99) 99
90.0%
2024-01-28T21:16:11.573390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 110
 
13.1%
원 109
 
13.0%
과 72
 
8.6%
내 30
 
3.6%
인 27
 
3.2%
이 25
 
3.0%
아 21
 
2.5%
정 21
 
2.5%
소 19
 
2.3%
비 16
 
1.9%
Other values (147) 387
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 826
98.7%
Space Separator 4
 
0.5%
Decimal Number 3
 
0.4%
Uppercase Letter 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 110
 
13.3%
원 109
 
13.2%
과 72
 
8.7%
내 30
 
3.6%
인 27
 
3.3%
이 25
 
3.0%
아 21
 
2.5%
정 21
 
2.5%
소 19
 
2.3%
비 16
 
1.9%
Other values (139) 376
45.5%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
6 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 826
98.7%
Common 9
 
1.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 110
 
13.3%
원 109
 
13.2%
과 72
 
8.7%
내 30
 
3.6%
인 27
 
3.3%
이 25
 
3.0%
아 21
 
2.5%
정 21
 
2.5%
소 19
 
2.3%
비 16
 
1.9%
Other values (139) 376
45.5%
Common
ValueCountFrequency (%)
4
44.4%
) 1
 
11.1%
( 1
 
11.1%
3 1
 
11.1%
5 1
 
11.1%
6 1
 
11.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 826
98.7%
ASCII 11
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 110
 
13.3%
원 109
 
13.2%
과 72
 
8.7%
내 30
 
3.6%
인 27
 
3.3%
이 25
 
3.0%
아 21
 
2.5%
정 21
 
2.5%
소 19
 
2.3%
비 16
 
1.9%
Other values (139) 376
45.5%
ASCII
ValueCountFrequency (%)
4
36.4%
) 1
 
9.1%
C 1
 
9.1%
J 1
 
9.1%
( 1
 
9.1%
3 1
 
9.1%
5 1
 
9.1%
6 1
 
9.1%

전화번호
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-01-28T21:16:11.792505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1272
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

Unique106 ?
Unique (%)100.0%

Sample

1st row032-875-8275
2nd row032-866-7533
3rd row032-766-3470
4th row032-766-2511
5th row032-885-3588
ValueCountFrequency (%)
032-875-8275 1
 
0.9%
032-891-8275 1
 
0.9%
032-424-3844 1
 
0.9%
032-884-0080 1
 
0.9%
032-876-5288 1
 
0.9%
032-883-6556 1
 
0.9%
032-889-7575 1
 
0.9%
032-868-1771 1
 
0.9%
032-863-0051 1
 
0.9%
032-875-7797 1
 
0.9%
Other values (96) 96
90.6%
2024-01-28T21:16:12.158850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 212
16.7%
0 177
13.9%
2 177
13.9%
3 153
12.0%
8 151
11.9%
7 96
7.5%
5 80
 
6.3%
6 74
 
5.8%
4 61
 
4.8%
1 55
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
83.3%
Dash Punctuation 212
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
16.7%
2 177
16.7%
3 153
14.4%
8 151
14.2%
7 96
9.1%
5 80
7.5%
6 74
7.0%
4 61
 
5.8%
1 55
 
5.2%
9 36
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 212
16.7%
0 177
13.9%
2 177
13.9%
3 153
12.0%
8 151
11.9%
7 96
7.5%
5 80
 
6.3%
6 74
 
5.8%
4 61
 
4.8%
1 55
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 212
16.7%
0 177
13.9%
2 177
13.9%
3 153
12.0%
8 151
11.9%
7 96
7.5%
5 80
 
6.3%
6 74
 
5.8%
4 61
 
4.8%
1 55
 
4.3%

도로명주소
Text

Distinct103
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-01-28T21:16:12.443450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36.5
Mean length27.179245
Min length21

Characters and Unicode

Total characters2881
Distinct characters109
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

Unique100 ?
Unique (%)94.3%

Sample

1st row인천광역시 미추홀구 소성로 6 홈플러스 지하1층 (용현동)
2nd row인천광역시 미추홀구 석정로 327 (도화동)
3rd row인천광역시 미추홀구 숙골로 114 2층 201호 (도화동)
4th row인천광역시 미추홀구 석정로 123-1 (숭의동)
5th row인천광역시 미추홀구 독배로 431 (용현동)
ValueCountFrequency (%)
인천광역시 106
18.1%
미추홀구 106
18.1%
주안동 39
 
6.7%
용현동 28
 
4.8%
학익동 15
 
2.6%
2층 15
 
2.6%
미추홀대로 12
 
2.1%
도화동 11
 
1.9%
숭의동 10
 
1.7%
석정로 9
 
1.5%
Other values (153) 234
40.0%
2024-01-28T21:16:12.840255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
483
 
16.8%
인 130
 
4.5%
홀 125
 
4.3%
미 120
 
4.2%
추 120
 
4.2%
천 108
 
3.7%
광 106
 
3.7%
역 106
 
3.7%
시 106
 
3.7%
구 106
 
3.7%
Other values (99) 1371
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1818
63.1%
Space Separator 483
 
16.8%
Decimal Number 360
 
12.5%
Open Punctuation 105
 
3.6%
Close Punctuation 105
 
3.6%
Dash Punctuation 9
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 130
 
7.2%
홀 125
 
6.9%
미 120
 
6.6%
추 120
 
6.6%
천 108
 
5.9%
광 106
 
5.8%
역 106
 
5.8%
시 106
 
5.8%
구 106
 
5.8%
동 106
 
5.8%
Other values (84) 685
37.7%
Decimal Number
ValueCountFrequency (%)
1 66
18.3%
2 53
14.7%
3 52
14.4%
5 39
10.8%
6 31
8.6%
4 29
8.1%
8 25
 
6.9%
7 23
 
6.4%
0 22
 
6.1%
9 20
 
5.6%
Space Separator
ValueCountFrequency (%)
483
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1818
63.1%
Common 1063
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 130
 
7.2%
홀 125
 
6.9%
미 120
 
6.6%
추 120
 
6.6%
천 108
 
5.9%
광 106
 
5.8%
역 106
 
5.8%
시 106
 
5.8%
구 106
 
5.8%
동 106
 
5.8%
Other values (84) 685
37.7%
Common
ValueCountFrequency (%)
483
45.4%
( 105
 
9.9%
) 105
 
9.9%
1 66
 
6.2%
2 53
 
5.0%
3 52
 
4.9%
5 39
 
3.7%
6 31
 
2.9%
4 29
 
2.7%
8 25
 
2.4%
Other values (5) 75
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1818
63.1%
ASCII 1063
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
483
45.4%
( 105
 
9.9%
) 105
 
9.9%
1 66
 
6.2%
2 53
 
5.0%
3 52
 
4.9%
5 39
 
3.7%
6 31
 
2.9%
4 29
 
2.7%
8 25
 
2.4%
Other values (5) 75
 
7.1%
Hangul
ValueCountFrequency (%)
인 130
 
7.2%
홀 125
 
6.9%
미 120
 
6.6%
추 120
 
6.6%
천 108
 
5.9%
광 106
 
5.8%
역 106
 
5.8%
시 106
 
5.8%
구 106
 
5.8%
동 106
 
5.8%
Other values (84) 685
37.7%

화이자
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
O
93 
<NA>
13 

Length

Max length4
Median length1
Mean length1.3679245
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 93
87.7%
<NA> 13
 
12.3%

Length

2024-01-28T21:16:12.963714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:16:13.055840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 93
87.7%
na 13
 
12.3%

모더나
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
O
98 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.2264151
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 98
92.5%
<NA> 8
 
7.5%

Length

2024-01-28T21:16:13.142126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:16:13.221747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 98
92.5%
na 8
 
7.5%

아스트라제네카
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
O
100 
<NA>
 
6

Length

Max length4
Median length1
Mean length1.1698113
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowO
3rd rowO
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 100
94.3%
<NA> 6
 
5.7%

Length

2024-01-28T21:16:13.331952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:16:13.417478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 100
94.3%
na 6
 
5.7%

얀센
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
O
80 
<NA>
26 

Length

Max length4
Median length1
Mean length1.7358491
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowO
3rd rowO
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 80
75.5%
<NA> 26
 
24.5%

Length

2024-01-28T21:16:13.495509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:16:13.571852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 80
75.5%
na 26
 
24.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct96
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454799
Minimum37.437603
Maximum37.472116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T21:16:13.662279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437603
5-th percentile37.440218
Q137.448317
median37.455379
Q337.461529
95-th percentile37.467996
Maximum37.472116
Range0.03451346
Interquartile range (IQR)0.013211818

Descriptive statistics

Standard deviation0.0088104448
Coefficient of variation (CV)0.00023522873
Kurtosis-0.94137938
Mean37.454799
Median Absolute Deviation (MAD)0.006921895
Skewness-0.012198051
Sum3970.2087
Variance7.7623938 × 10-5
MonotonicityNot monotonic
2024-01-28T21:16:13.804502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44814624 3
 
2.8%
37.46716574 2
 
1.9%
37.46039207 2
 
1.9%
37.45956629 2
 
1.9%
37.44833163 2
 
1.9%
37.4593647 2
 
1.9%
37.46799576 2
 
1.9%
37.45163856 2
 
1.9%
37.47211604 2
 
1.9%
37.45997606 1
 
0.9%
Other values (86) 86
81.1%
ValueCountFrequency (%)
37.43760258 1
0.9%
37.43926519 1
0.9%
37.43929879 1
0.9%
37.43953362 1
0.9%
37.43989892 1
0.9%
37.44014984 1
0.9%
37.44042158 1
0.9%
37.4414509 1
0.9%
37.44195578 1
0.9%
37.44217559 1
0.9%
ValueCountFrequency (%)
37.47211604 2
1.9%
37.46889597 1
0.9%
37.46857416 1
0.9%
37.46843288 1
0.9%
37.46799576 2
1.9%
37.4679645 1
0.9%
37.46787183 1
0.9%
37.46743495 1
0.9%
37.46728785 1
0.9%
37.46728558 1
0.9%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct96
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.6659
Minimum126.63362
Maximum126.69699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T21:16:13.918648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63362
5-th percentile126.63744
Q1126.64986
median126.66733
Q3126.67969
95-th percentile126.69025
Maximum126.69699
Range0.0633715
Interquartile range (IQR)0.02982335

Descriptive statistics

Standard deviation0.017107718
Coefficient of variation (CV)0.00013506174
Kurtosis-1.058759
Mean126.6659
Median Absolute Deviation (MAD)0.0126324
Skewness-0.24956625
Sum13426.586
Variance0.000292674
MonotonicityNot monotonic
2024-01-28T21:16:14.046029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6491202 3
 
2.8%
126.6789857 2
 
1.9%
126.6891379 2
 
1.9%
126.6804203 2
 
1.9%
126.6785358 2
 
1.9%
126.6898433 2
 
1.9%
126.6650953 2
 
1.9%
126.6372774 2
 
1.9%
126.662017 2
 
1.9%
126.6798503 1
 
0.9%
Other values (86) 86
81.1%
ValueCountFrequency (%)
126.6336152 1
0.9%
126.6355969 1
0.9%
126.6358892 1
0.9%
126.6372774 2
1.9%
126.6374057 1
0.9%
126.6375535 1
0.9%
126.6380872 1
0.9%
126.6383364 1
0.9%
126.6390546 1
0.9%
126.6391615 1
0.9%
ValueCountFrequency (%)
126.6969867 1
0.9%
126.6950864 1
0.9%
126.694756 1
0.9%
126.6934638 1
0.9%
126.6906588 1
0.9%
126.6903846 1
0.9%
126.6898433 2
1.9%
126.6891379 2
1.9%
126.6878803 1
0.9%
126.6875325 1
0.9%

Interactions

2024-01-28T21:16:10.116862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:09.664657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:09.897895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:10.193835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:09.742522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:09.965047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:10.270693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:09.815813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:16:10.039787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:16:14.144049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.3020.408
위도0.3021.0000.758
경도0.4080.7581.000
2024-01-28T21:16:14.222166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
화이자얀센모더나아스트라제네카
화이자1.0001.0001.0001.000
얀센1.0001.0001.0001.000
모더나1.0001.0001.0001.000
아스트라제네카1.0001.0001.0001.000
2024-01-28T21:16:14.305193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도화이자모더나아스트라제네카얀센
연번1.000-0.0140.1351.0001.0001.0001.000
위도-0.0141.0000.0501.0001.0001.0001.000
경도0.1350.0501.0001.0001.0001.0001.000
화이자1.0001.0001.0001.0001.0001.0001.000
모더나1.0001.0001.0001.0001.0001.0001.000
아스트라제네카1.0001.0001.0001.0001.0001.0001.000
얀센1.0001.0001.0001.0001.0001.0001.000

Missing values

2024-01-28T21:16:10.372851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:16:10.485451image/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

연번기관명전화번호도로명주소화이자모더나아스트라제네카얀센위도경도
01365아이맘의원032-875-8275인천광역시 미추홀구 소성로 6 홈플러스 지하1층 (용현동)OO<NA><NA>37.447067126.650849
12굿모닝가정의학과의원032-866-7533인천광역시 미추홀구 석정로 327 (도화동)OOOO37.467965126.671808
23그린소아청소년과의원032-766-3470인천광역시 미추홀구 숙골로 114 2층 201호 (도화동)OOOO37.472116126.662017
34기독내과의원032-766-2511인천광역시 미추홀구 석정로 123-1 (숭의동)OOOO37.468896126.649018
45김가정의원032-885-3588인천광역시 미추홀구 독배로 431 (용현동)OOOO37.457929126.648999
56김병천내과의원032-862-0051인천광역시 미추홀구 미추홀대로 628 2층 (주안동)OOO<NA>37.453318126.680107
67김원배소아청소년과의원032-881-4509인천광역시 미추홀구 낙섬중로 37 4층 (용현동)OOOO37.451639126.637277
78김은아의건강한내과의원032-209-9575인천광역시 미추홀구 독배로 311 비젼프라자 5층 501호 (용현동)OOOO37.448146126.64912
89김이비인후과의원032-884-2686인천광역시 미추홀구 독배로 422 (용현동)<NA>O<NA><NA>37.457383126.649819
910김철내과의원032-874-8575인천광역시 미추홀구 소성로 135 (학익동)OOOO37.443311126.664006
연번기관명전화번호도로명주소화이자모더나아스트라제네카얀센위도경도
9697하기수내과의원032-873-8275인천광역시 미추홀구 석정로 436 (주안동)OOOO37.466282126.684018
9798학익정형외과의원032-868-5200인천광역시 미추홀구 한나루로 379 (학익동)OOOO37.441956126.663002
9899한국건강관리협회건강증진의원032-890-8700인천광역시 미추홀구 독배로 500 (숭의동)<NA><NA>O<NA>37.462004126.643682
99100한국보훈복지의료공단 인천보훈병원032-363-9800인천광역시 미추홀구 인주대로 138 인천보훈병원 (용현동)OOO<NA>37.455702126.652603
100101한마음가정의원032-567-7585인천광역시 미추홀구 석정로 381 3층 (주안동)OOOO37.467286126.677897
101102한사랑내과의원032-865-1171인천광역시 미추홀구 수봉로 22-1 (숭의동)OOOO37.464129126.656022
102103행복한내과의원032-863-3338인천광역시 미추홀구 한나루로 591 (도화동)OOOO37.458865126.671836
103104현대가정의원032-214-2214인천광역시 미추홀구 매소홀로 355 학익프라자 (학익동)OOOO37.441451126.661976
104105현대성모의원032-863-7700인천광역시 미추홀구 매소홀로 442 1층 (학익동)OOOO37.439534126.671036
105106현대유비스병원032-888-7575인천광역시 미추홀구 독배로 503-0 현대유비스병원 (숭의동)OOOO37.461498126.64294