Overview

Dataset statistics

Number of variables12
Number of observations161
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory97.8 B

Variable types

Numeric1
Text3
Categorical8

Dataset

Description서울특별시 광진구 국가예방접종위탁의 의료기관명, 전화번호, 주소, 위탁분야에 대한 정보( 또는 데이터)를 제공합니다
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15052417/fileData.do

Alerts

기타사업 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
인플(임신부) is highly overall correlated with 연번 and 7 other fieldsHigh correlation
인플(어르신) is highly overall correlated with 연번 and 7 other fieldsHigh correlation
인플(어린이_13세이하) is highly overall correlated with 연번 and 7 other fieldsHigh correlation
폐렴구균(어르신) is highly overall correlated with 연번 and 7 other fieldsHigh correlation
HPV 국가예방접종 지원사업 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
어린이 국가예방접종 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
B형주산기 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
연번 is highly overall correlated with 어린이 국가예방접종 and 7 other fieldsHigh correlation
인플(어르신) is highly imbalanced (80.0%)Imbalance
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:02:22.965291
Analysis finished2024-03-14 11:02:25.128268
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81
Minimum1
Maximum161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-14T20:02:25.315948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q141
median81
Q3121
95-th percentile153
Maximum161
Range160
Interquartile range (IQR)80

Descriptive statistics

Standard deviation46.620811
Coefficient of variation (CV)0.57556557
Kurtosis-1.2
Mean81
Median Absolute Deviation (MAD)40
Skewness0
Sum13041
Variance2173.5
MonotonicityStrictly increasing
2024-03-14T20:02:25.765239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
122 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
Other values (151) 151
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%

의료기관명
Text

UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T20:02:26.634990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length8.1118012
Min length4

Characters and Unicode

Total characters1306
Distinct characters211
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)100.0%

Sample

1st row(사)인구보건복지협회 서울지회 가족보건의원
2nd row24시열린의원
3rd row365류마고내과의원
4th row365한국신통의원
5th rowSC제일산부인과의원
ValueCountFrequency (%)
사)인구보건복지협회 1
 
0.6%
이내과의원 1
 
0.6%
연세다인의원 1
 
0.6%
연세푸름의원 1
 
0.6%
연세마취통증의학과의원 1
 
0.6%
연세무척나은병원 1
 
0.6%
연세미초롬의원 1
 
0.6%
연세박윤혜내과의원 1
 
0.6%
연세안안과의원 1
 
0.6%
연세어울림이비인후과의원 1
 
0.6%
Other values (153) 153
93.9%
2024-03-14T20:02:27.923868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 173
 
13.2%
원 163
 
12.5%
과 122
 
9.3%
내 46
 
3.5%
소 27
 
2.1%
인 26
 
2.0%
정 24
 
1.8%
이 24
 
1.8%
아 23
 
1.8%
서 21
 
1.6%
Other values (201) 657
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1280
98.0%
Decimal Number 8
 
0.6%
Uppercase Letter 5
 
0.4%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Space Separator 2
 
0.2%
Lowercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 173
 
13.5%
원 163
 
12.7%
과 122
 
9.5%
내 46
 
3.6%
소 27
 
2.1%
인 26
 
2.0%
정 24
 
1.9%
이 24
 
1.9%
아 23
 
1.8%
서 21
 
1.6%
Other values (186) 631
49.3%
Decimal Number
ValueCountFrequency (%)
5 2
25.0%
6 2
25.0%
3 2
25.0%
4 1
12.5%
2 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
S 1
20.0%
H 1
20.0%
B 1
20.0%
M 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1280
98.0%
Common 19
 
1.5%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 173
 
13.5%
원 163
 
12.7%
과 122
 
9.5%
내 46
 
3.6%
소 27
 
2.1%
인 26
 
2.0%
정 24
 
1.9%
이 24
 
1.9%
아 23
 
1.8%
서 21
 
1.6%
Other values (186) 631
49.3%
Common
ValueCountFrequency (%)
( 4
21.1%
) 4
21.1%
2
10.5%
5 2
10.5%
6 2
10.5%
3 2
10.5%
4 1
 
5.3%
2 1
 
5.3%
- 1
 
5.3%
Latin
ValueCountFrequency (%)
e 2
28.6%
C 1
14.3%
S 1
14.3%
H 1
14.3%
B 1
14.3%
M 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1280
98.0%
ASCII 26
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 173
 
13.5%
원 163
 
12.7%
과 122
 
9.5%
내 46
 
3.6%
소 27
 
2.1%
인 26
 
2.0%
정 24
 
1.9%
이 24
 
1.9%
아 23
 
1.8%
서 21
 
1.6%
Other values (186) 631
49.3%
ASCII
ValueCountFrequency (%)
( 4
15.4%
) 4
15.4%
2
 
7.7%
e 2
 
7.7%
5 2
 
7.7%
6 2
 
7.7%
3 2
 
7.7%
C 1
 
3.8%
S 1
 
3.8%
H 1
 
3.8%
Other values (5) 5
19.2%

전화번호
Text

UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T20:02:29.024291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.204969
Min length11

Characters and Unicode

Total characters1804
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

Unique161 ?
Unique (%)100.0%

Sample

1st row02-467-8913
2nd row02-455-2475
3rd row02-458-7588
4th row02-499-0906
5th row02-447-3111
ValueCountFrequency (%)
02-467-8913 1
 
0.6%
02-466-7275 1
 
0.6%
02-469-2246 1
 
0.6%
02-454-8686 1
 
0.6%
02-3425-8200 1
 
0.6%
02-444-6326 1
 
0.6%
02-465-8275 1
 
0.6%
070-4304-6675 1
 
0.6%
02-465-9700 1
 
0.6%
02-452-7518 1
 
0.6%
Other values (151) 151
93.8%
2024-03-14T20:02:30.729481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 322
17.8%
0 270
15.0%
2 259
14.4%
4 220
12.2%
5 171
9.5%
6 132
7.3%
7 107
 
5.9%
8 92
 
5.1%
1 89
 
4.9%
3 76
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1482
82.2%
Dash Punctuation 322
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 270
18.2%
2 259
17.5%
4 220
14.8%
5 171
11.5%
6 132
8.9%
7 107
 
7.2%
8 92
 
6.2%
1 89
 
6.0%
3 76
 
5.1%
9 66
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 322
17.8%
0 270
15.0%
2 259
14.4%
4 220
12.2%
5 171
9.5%
6 132
7.3%
7 107
 
5.9%
8 92
 
5.1%
1 89
 
4.9%
3 76
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 322
17.8%
0 270
15.0%
2 259
14.4%
4 220
12.2%
5 171
9.5%
6 132
7.3%
7 107
 
5.9%
8 92
 
5.1%
1 89
 
4.9%
3 76
 
4.2%

주소
Text

Distinct160
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T20:02:31.938737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length49
Mean length30.583851
Min length20

Characters and Unicode

Total characters4924
Distinct characters152
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)98.8%

Sample

1st row서울특별시 광진구 긴고랑로13길 62, (중곡동) 1.2층
2nd row서울특별시 광진구 능동로 90, (자양동, 더클래식500) 3층
3rd row서울특별시 광진구 광나루로56길 63, (구의동) 프라임프라자 501~503호
4th row서울특별시 광진구 면목로 174, (중곡동) 2층
5th row서울특별시 광진구 광나루로 506, (구의동)
ValueCountFrequency (%)
서울특별시 161
 
16.1%
광진구 161
 
16.1%
2층 52
 
5.2%
자양동 49
 
4.9%
중곡동 45
 
4.5%
구의동 35
 
3.5%
자양로 25
 
2.5%
아차산로 21
 
2.1%
뚝섬로 16
 
1.6%
3층 16
 
1.6%
Other values (257) 420
42.0%
2024-03-14T20:02:33.610567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
882
 
17.9%
, 213
 
4.3%
구 204
 
4.1%
광 187
 
3.8%
동 183
 
3.7%
진 167
 
3.4%
서 163
 
3.3%
시 163
 
3.3%
울 163
 
3.3%
특 161
 
3.3%
Other values (142) 2438
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2755
56.0%
Space Separator 882
 
17.9%
Decimal Number 724
 
14.7%
Other Punctuation 219
 
4.4%
Close Punctuation 161
 
3.3%
Open Punctuation 161
 
3.3%
Dash Punctuation 8
 
0.2%
Math Symbol 8
 
0.2%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 204
 
7.4%
광 187
 
6.8%
동 183
 
6.6%
진 167
 
6.1%
서 163
 
5.9%
시 163
 
5.9%
울 163
 
5.9%
특 161
 
5.8%
별 161
 
5.8%
로 160
 
5.8%
Other values (119) 1043
37.9%
Decimal Number
ValueCountFrequency (%)
2 131
18.1%
1 126
17.4%
3 96
13.3%
5 87
12.0%
0 65
9.0%
4 61
8.4%
6 54
7.5%
7 42
 
5.8%
8 36
 
5.0%
9 26
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
K 1
16.7%
S 1
16.7%
I 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 213
97.3%
. 5
 
2.3%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2755
56.0%
Common 2163
43.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 204
 
7.4%
광 187
 
6.8%
동 183
 
6.6%
진 167
 
6.1%
서 163
 
5.9%
시 163
 
5.9%
울 163
 
5.9%
특 161
 
5.8%
별 161
 
5.8%
로 160
 
5.8%
Other values (119) 1043
37.9%
Common
ValueCountFrequency (%)
882
40.8%
, 213
 
9.8%
) 161
 
7.4%
( 161
 
7.4%
2 131
 
6.1%
1 126
 
5.8%
3 96
 
4.4%
5 87
 
4.0%
0 65
 
3.0%
4 61
 
2.8%
Other values (8) 180
 
8.3%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
K 1
16.7%
S 1
16.7%
I 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2755
56.0%
ASCII 2169
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
882
40.7%
, 213
 
9.8%
) 161
 
7.4%
( 161
 
7.4%
2 131
 
6.0%
1 126
 
5.8%
3 96
 
4.4%
5 87
 
4.0%
0 65
 
3.0%
4 61
 
2.8%
Other values (13) 186
 
8.6%
Hangul
ValueCountFrequency (%)
구 204
 
7.4%
광 187
 
6.8%
동 183
 
6.6%
진 167
 
6.1%
서 163
 
5.9%
시 163
 
5.9%
울 163
 
5.9%
특 161
 
5.8%
별 161
 
5.8%
로 160
 
5.8%
Other values (119) 1043
37.9%

어린이 국가예방접종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
√
100 
<NA>
61 

Length

Max length4
Median length1
Mean length2.136646
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 100
62.1%
<NA> 61
37.9%

Length

2024-03-14T20:02:34.038731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:34.368777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 100
62.1%
na 61
37.9%

HPV 국가예방접종 지원사업
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
94 
√
67 

Length

Max length4
Median length4
Mean length2.7515528
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 94
58.4%
√ 67
41.6%

Length

2024-03-14T20:02:34.729651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:35.056799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
58.4%
√ 67
41.6%

B형주산기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
128 
√
33 

Length

Max length4
Median length4
Mean length3.3850932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
79.5%
√ 33
 
20.5%

Length

2024-03-14T20:02:35.431634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:35.766214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
79.5%
√ 33
 
20.5%

인플(어린이_13세이하)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
√
92 
<NA>
69 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 92
57.1%
<NA> 69
42.9%

Length

2024-03-14T20:02:36.122010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:36.459041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 92
57.1%
na 69
42.9%

인플(어르신)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
√
156 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.0931677
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 156
96.9%
<NA> 5
 
3.1%

Length

2024-03-14T20:02:36.825854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:37.162186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 156
96.9%
na 5
 
3.1%

인플(임신부)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
89 
√
72 

Length

Max length4
Median length4
Mean length2.6583851
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
55.3%
√ 72
44.7%

Length

2024-03-14T20:02:37.515251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:37.852711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
55.3%
√ 72
44.7%

폐렴구균(어르신)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
√
130 
<NA>
31 

Length

Max length4
Median length1
Mean length1.5776398
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 130
80.7%
<NA> 31
 
19.3%

Length

2024-03-14T20:02:38.222927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:38.559901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 130
80.7%
na 31
 
19.3%

기타사업
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
√
103 
<NA>
58 

Length

Max length4
Median length1
Mean length2.0807453
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 103
64.0%
<NA> 58
36.0%

Length

2024-03-14T20:02:38.929003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:02:39.264870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 103
64.0%
na 58
36.0%

Interactions

2024-03-14T20:02:23.979411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:02:39.459852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번
연번1.000
2024-03-14T20:02:39.697271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타사업인플(임신부)인플(어르신)인플(어린이_13세이하)폐렴구균(어르신)HPV 국가예방접종 지원사업어린이 국가예방접종B형주산기
기타사업1.0001.0001.0001.0001.0001.0001.0001.000
인플(임신부)1.0001.0001.0001.0001.0001.0001.0001.000
인플(어르신)1.0001.0001.0001.0001.0001.0001.0001.000
인플(어린이_13세이하)1.0001.0001.0001.0001.0001.0001.0001.000
폐렴구균(어르신)1.0001.0001.0001.0001.0001.0001.0001.000
HPV 국가예방접종 지원사업1.0001.0001.0001.0001.0001.0001.0001.000
어린이 국가예방접종1.0001.0001.0001.0001.0001.0001.0001.000
B형주산기1.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T20:02:40.011823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번어린이 국가예방접종HPV 국가예방접종 지원사업B형주산기인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)기타사업
연번1.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이 국가예방접종1.0001.0001.0001.0001.0001.0001.0001.0001.000
HPV 국가예방접종 지원사업1.0001.0001.0001.0001.0001.0001.0001.0001.000
B형주산기1.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(어린이_13세이하)1.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(어르신)1.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(임신부)1.0001.0001.0001.0001.0001.0001.0001.0001.000
폐렴구균(어르신)1.0001.0001.0001.0001.0001.0001.0001.0001.000
기타사업1.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-14T20:02:24.362709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:02:24.901098image/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

연번의료기관명전화번호주소어린이 국가예방접종HPV 국가예방접종 지원사업B형주산기인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)기타사업
01(사)인구보건복지협회 서울지회 가족보건의원02-467-8913서울특별시 광진구 긴고랑로13길 62, (중곡동) 1.2층√√√√√√√√
1224시열린의원02-455-2475서울특별시 광진구 능동로 90, (자양동, 더클래식500) 3층√√<NA>√√√√<NA>
23365류마고내과의원02-458-7588서울특별시 광진구 광나루로56길 63, (구의동) 프라임프라자 501~503호<NA><NA><NA><NA>√<NA>√<NA>
34365한국신통의원02-499-0906서울특별시 광진구 면목로 174, (중곡동) 2층√<NA>√√√√√√
45SC제일산부인과의원02-447-3111서울특별시 광진구 광나루로 506, (구의동)√√√√<NA>√<NA><NA>
56가족애내과의원02-455-2859서울특별시 광진구 뚝섬로 558, (자양동) 2층√√<NA>√√√√√
67강남훈내과의원02-3437-7582서울특별시 광진구 뚝섬로56길 46, (자양동, 근정빌딩) 2층√<NA><NA>√√<NA>√√
78건국대학교병원02-1588-1533서울특별시 광진구 능동로 120-1, (화양동)√√√√<NA>√<NA><NA>
89건우내과의원02-466-2622서울특별시 광진구 면목로 113-1, (중곡동)<NA><NA><NA><NA>√<NA>√√
910고려H내과의원02-3437-3337서울특별시 광진구 아차산로 373, (구의동, 원이빌딩) 3층<NA><NA><NA><NA>√√√√
연번의료기관명전화번호주소어린이 국가예방접종HPV 국가예방접종 지원사업B형주산기인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)기타사업
151152한마음의원02-455-2264서울특별시 광진구 자양로 126, (구의동)<NA><NA><NA><NA>√<NA>√√
152153한성욱내과의원02-466-4189서울특별시 광진구 군자로 85, (군자동)√√<NA><NA>√<NA>√√
153154한솔마취통증의학과의원02-446-3480서울특별시 광진구 천호대로 653, (중곡동) 4층<NA><NA><NA><NA>√<NA><NA><NA>
154155한우식내과의원02-464-2300서울특별시 광진구 천호대로 517, (중곡동, 리마크빌 군자) 201,202호√√<NA><NA>√√√√
155156항석내과의원02-454-9114서울특별시 광진구 자양로 201, (구의동)<NA><NA><NA><NA>√<NA>√√
156157해맑은소아과의원02-3437-3722서울특별시 광진구 자양로 288, (구의동) 2층√√√√√√√√
157158현대정형외과의원02-458-1070서울특별시 광진구 용마산로 67, (중곡동)<NA><NA><NA><NA>√<NA>√<NA>
158159혜민병원02-2049-9000서울특별시 광진구 자양로 85, (자양동)√√<NA><NA>√<NA>√<NA>
159160화양본내과의원02-464-4177서울특별시 광진구 군자로 73, (군자동)√√<NA>√√<NA>√√
160161희망내과의원02-468-0575서울특별시 광진구 천호대로 527, (중곡동) 거산빌딩 2층√√<NA>√√√√√