Overview

Dataset statistics

Number of variables8
Number of observations67
Missing cells33
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory68.0 B

Variable types

Categorical4
Text3
Numeric1

Dataset

Description제주특별자치도 제주시 제주보건소에서 운영하는 건강생활 실천사업 관련 현황 데이터를 제공합니다. (담당부서: 제주시 제주보건소)데이터항목 : 대상연도, 담당기관, 생애주기별, 사업명, 운영내용, 연인원
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15038585/fileData.do

Alerts

대상연도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연인원(명) has 5 (7.5%) missing valuesMissing
비고 has 28 (41.8%) missing valuesMissing

Reproduction

Analysis started2024-04-21 01:07:20.335732
Analysis finished2024-04-21 01:07:22.592081
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상연도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023
67 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 67
100.0%

Length

2024-04-21T10:07:22.651446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:07:22.732396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 67
100.0%

담당기관
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
제주시제주보건소
27 
제주시서부보건소
22 
제주시동부보건소
18 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시제주보건소 27
40.3%
제주시서부보건소 22
32.8%
제주시동부보건소 18
26.9%

Length

2024-04-21T10:07:22.829736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:07:22.924927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시제주보건소 27
40.3%
제주시서부보건소 22
32.8%
제주시동부보건소 18
26.9%

생애주기별
Categorical

Distinct6
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
성인
34 
아동·청소년
16 
미취학아동
12 
어린이청소년
 
3
건강생활실천환경조성
 
1

Length

Max length10
Median length2
Mean length3.8059701
Min length2

Unique

Unique2 ?
Unique (%)3.0%

Sample

1st row미취학아동
2nd row미취학아동
3rd row아동·청소년
4th row아동·청소년
5th row아동·청소년

Common Values

ValueCountFrequency (%)
성인 34
50.7%
아동·청소년 16
23.9%
미취학아동 12
 
17.9%
어린이청소년 3
 
4.5%
건강생활실천환경조성 1
 
1.5%
어르신 1
 
1.5%

Length

2024-04-21T10:07:23.027390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:07:23.125852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 34
50.7%
아동·청소년 16
23.9%
미취학아동 12
 
17.9%
어린이청소년 3
 
4.5%
건강생활실천환경조성 1
 
1.5%
어르신 1
 
1.5%

사업명
Text

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-04-21T10:07:23.438839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length24
Mean length17.835821
Min length6

Characters and Unicode

Total characters1195
Distinct characters207
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)94.0%

Sample

1st row알록달록 건강한 동화구연 세상
2nd row몸과 마음이 자라는 건강 튼튼교실
3rd row아동 통합건강증진사업 설명회 개최
4th row아동비만 개선을 위한 ‘건강증진학교‘ 실무협의체 구성
5th row건강증진학교 워크온 운영 챌린지
ValueCountFrequency (%)
운영 12
 
4.5%
건강한 10
 
3.8%
만들기 7
 
2.6%
및 6
 
2.3%
프로그램 5
 
1.9%
걷기 5
 
1.9%
워크온 5
 
1.9%
건강 4
 
1.5%
건강증진학교 4
 
1.5%
교육 4
 
1.5%
Other values (157) 204
76.7%
2024-04-21T10:07:23.827024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
17.1%
건 49
 
4.1%
강 44
 
3.7%
동 24
 
2.0%
영 21
 
1.8%
기 21
 
1.8%
교 19
 
1.6%
로 17
 
1.4%
사 16
 
1.3%
실 16
 
1.3%
Other values (197) 764
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
77.4%
Space Separator 204
 
17.1%
Decimal Number 23
 
1.9%
Other Punctuation 11
 
0.9%
Close Punctuation 10
 
0.8%
Open Punctuation 10
 
0.8%
Initial Punctuation 6
 
0.5%
Math Symbol 4
 
0.3%
Final Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 49
 
5.3%
강 44
 
4.8%
동 24
 
2.6%
영 21
 
2.3%
기 21
 
2.3%
교 19
 
2.1%
로 17
 
1.8%
사 16
 
1.7%
실 16
 
1.7%
한 16
 
1.7%
Other values (177) 682
73.7%
Decimal Number
ValueCountFrequency (%)
3 5
21.7%
7 3
13.0%
1 3
13.0%
2 3
13.0%
6 3
13.0%
9 3
13.0%
0 2
 
8.7%
5 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
· 6
54.5%
. 2
 
18.2%
! 2
 
18.2%
/ 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 9
90.0%
」 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 9
90.0%
「 1
 
10.0%
Space Separator
ValueCountFrequency (%)
204
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
77.4%
Common 270
 
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 49
 
5.3%
강 44
 
4.8%
동 24
 
2.6%
영 21
 
2.3%
기 21
 
2.3%
교 19
 
2.1%
로 17
 
1.8%
사 16
 
1.7%
실 16
 
1.7%
한 16
 
1.7%
Other values (177) 682
73.7%
Common
ValueCountFrequency (%)
204
75.6%
) 9
 
3.3%
( 9
 
3.3%
· 6
 
2.2%
‘ 6
 
2.2%
3 5
 
1.9%
+ 4
 
1.5%
7 3
 
1.1%
1 3
 
1.1%
2 3
 
1.1%
Other values (10) 18
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
77.4%
ASCII 254
 
21.3%
None 8
 
0.7%
Punctuation 8
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
80.3%
) 9
 
3.5%
( 9
 
3.5%
3 5
 
2.0%
+ 4
 
1.6%
7 3
 
1.2%
1 3
 
1.2%
2 3
 
1.2%
6 3
 
1.2%
9 3
 
1.2%
Other values (5) 8
 
3.1%
Hangul
ValueCountFrequency (%)
건 49
 
5.3%
강 44
 
4.8%
동 24
 
2.6%
영 21
 
2.3%
기 21
 
2.3%
교 19
 
2.1%
로 17
 
1.8%
사 16
 
1.7%
실 16
 
1.7%
한 16
 
1.7%
Other values (177) 682
73.7%
None
ValueCountFrequency (%)
· 6
75.0%
」 1
 
12.5%
「 1
 
12.5%
Punctuation
ValueCountFrequency (%)
‘ 6
75.0%
’ 2
 
25.0%

운영내용
Text

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-04-21T10:07:24.038489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length36
Mean length10.985075
Min length2

Characters and Unicode

Total characters736
Distinct characters164
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

Unique55 ?
Unique (%)82.1%

Sample

1st row199개소 373회
2nd row23개소
3rd row1회
4th row5기관
5th row7회
ValueCountFrequency (%)
진행 14
 
8.0%
운영 5
 
2.8%
2회 4
 
2.3%
홈페이지 3
 
1.7%
게시 3
 
1.7%
21개소 2
 
1.1%
7회 2
 
1.1%
매월 2
 
1.1%
연계 2
 
1.1%
2개소 2
 
1.1%
Other values (127) 137
77.8%
2024-04-21T10:07:24.383198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
15.6%
회 42
 
5.7%
1 42
 
5.7%
2 31
 
4.2%
개 30
 
4.1%
소 27
 
3.7%
진 17
 
2.3%
4 17
 
2.3%
3 15
 
2.0%
행 14
 
1.9%
Other values (154) 386
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
59.8%
Decimal Number 154
 
20.9%
Space Separator 115
 
15.6%
Math Symbol 9
 
1.2%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%
Other Punctuation 4
 
0.5%
Lowercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 42
 
9.5%
개 30
 
6.8%
소 27
 
6.1%
진 17
 
3.9%
행 14
 
3.2%
영 9
 
2.0%
지 9
 
2.0%
월 8
 
1.8%
운 8
 
1.8%
을 6
 
1.4%
Other values (133) 270
61.4%
Decimal Number
ValueCountFrequency (%)
1 42
27.3%
2 31
20.1%
4 17
11.0%
3 15
 
9.7%
6 12
 
7.8%
9 11
 
7.1%
8 8
 
5.2%
7 6
 
3.9%
5 6
 
3.9%
0 6
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
m 1
25.0%
k 1
25.0%
c 1
25.0%
g 1
25.0%
Math Symbol
ValueCountFrequency (%)
+ 8
88.9%
~ 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 3
75.0%
: 1
 
25.0%
Space Separator
ValueCountFrequency (%)
115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
59.8%
Common 292
39.7%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 42
 
9.5%
개 30
 
6.8%
소 27
 
6.1%
진 17
 
3.9%
행 14
 
3.2%
영 9
 
2.0%
지 9
 
2.0%
월 8
 
1.8%
운 8
 
1.8%
을 6
 
1.4%
Other values (133) 270
61.4%
Common
ValueCountFrequency (%)
115
39.4%
1 42
 
14.4%
2 31
 
10.6%
4 17
 
5.8%
3 15
 
5.1%
6 12
 
4.1%
9 11
 
3.8%
8 8
 
2.7%
+ 8
 
2.7%
7 6
 
2.1%
Other values (7) 27
 
9.2%
Latin
ValueCountFrequency (%)
m 1
25.0%
k 1
25.0%
c 1
25.0%
g 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
59.8%
ASCII 296
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
38.9%
1 42
 
14.2%
2 31
 
10.5%
4 17
 
5.7%
3 15
 
5.1%
6 12
 
4.1%
9 11
 
3.7%
8 8
 
2.7%
+ 8
 
2.7%
7 6
 
2.0%
Other values (11) 31
 
10.5%
Hangul
ValueCountFrequency (%)
회 42
 
9.5%
개 30
 
6.8%
소 27
 
6.1%
진 17
 
3.9%
행 14
 
3.2%
영 9
 
2.0%
지 9
 
2.0%
월 8
 
1.8%
운 8
 
1.8%
을 6
 
1.4%
Other values (133) 270
61.4%

연인원(명)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)98.4%
Missing5
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4858
Minimum16
Maximum126332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-21T10:07:24.499507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile70.15
Q1398.25
median1099
Q33311
95-th percentile14851.3
Maximum126332
Range126316
Interquartile range (IQR)2912.75

Descriptive statistics

Standard deviation16205.475
Coefficient of variation (CV)3.3358326
Kurtosis53.968282
Mean4858
Median Absolute Deviation (MAD)900
Skewness7.1401672
Sum301196
Variance2.6261742 × 108
MonotonicityNot monotonic
2024-04-21T10:07:24.615347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
468 2
 
3.0%
1983 1
 
1.5%
266 1
 
1.5%
14059 1
 
1.5%
925 1
 
1.5%
826 1
 
1.5%
200 1
 
1.5%
8450 1
 
1.5%
10723 1
 
1.5%
356 1
 
1.5%
Other values (51) 51
76.1%
(Missing) 5
 
7.5%
ValueCountFrequency (%)
16 1
1.5%
29 1
1.5%
46 1
1.5%
70 1
1.5%
73 1
1.5%
82 1
1.5%
84 1
1.5%
145 1
1.5%
153 1
1.5%
200 1
1.5%
ValueCountFrequency (%)
126332 1
1.5%
15385 1
1.5%
15313 1
1.5%
14893 1
1.5%
14059 1
1.5%
10723 1
1.5%
10089 1
1.5%
8768 1
1.5%
8450 1
1.5%
8147 1
1.5%

비고
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing28
Missing (%)41.8%
Memory size668.0 B
2024-04-21T10:07:24.824442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length41
Mean length34.153846
Min length2

Characters and Unicode

Total characters1332
Distinct characters221
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row영·유아 눈높이에 맞춘 구연동화를 활용한 흡연+음주+신체활동+영양+구강 교육
2nd row유치원+어린이집 건강수업(비대면 교육)
3rd row놀이현 영양 및 신체활동 프로그램 제공+비만도 모니터링 등
4th row자가건강관리 서비스+건강정보제공 서비스+쌍방향 건강상담 서비스+지속적 실천을 위한 미션 제공(24주 프로그램)
5th row신체활동+영양+구강+흡연예방 등
ValueCountFrequency (%)
및 19
 
6.4%
등 19
 
6.4%
프로그램 9
 
3.0%
운영 7
 
2.3%
제공 5
 
1.7%
교육 5
 
1.7%
눈높이에 4
 
1.3%
신체활동 4
 
1.3%
영양 4
 
1.3%
영·유아 4
 
1.3%
Other values (188) 219
73.2%
2024-04-21T10:07:25.194631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
19.8%
+ 38
 
2.9%
강 35
 
2.6%
영 29
 
2.2%
건 28
 
2.1%
활 22
 
1.7%
등 20
 
1.5%
및 19
 
1.4%
제 17
 
1.3%
로 17
 
1.3%
Other values (211) 843
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 962
72.2%
Space Separator 264
 
19.8%
Math Symbol 38
 
2.9%
Decimal Number 22
 
1.7%
Other Punctuation 18
 
1.4%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Lowercase Letter 6
 
0.5%
Final Punctuation 4
 
0.3%
Initial Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 35
 
3.6%
영 29
 
3.0%
건 28
 
2.9%
활 22
 
2.3%
등 20
 
2.1%
및 19
 
2.0%
제 17
 
1.8%
로 17
 
1.8%
동 17
 
1.8%
양 16
 
1.7%
Other values (185) 742
77.1%
Decimal Number
ValueCountFrequency (%)
3 6
27.3%
6 4
18.2%
9 4
18.2%
1 3
13.6%
4 3
13.6%
2 1
 
4.5%
0 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
· 8
44.4%
. 5
27.8%
: 2
 
11.1%
/ 2
 
11.1%
, 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
k 2
33.3%
g 2
33.3%
c 1
16.7%
m 1
16.7%
Final Punctuation
ValueCountFrequency (%)
’ 3
75.0%
” 1
 
25.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
“ 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
264
100.0%
Math Symbol
ValueCountFrequency (%)
+ 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 962
72.2%
Common 362
 
27.2%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 35
 
3.6%
영 29
 
3.0%
건 28
 
2.9%
활 22
 
2.3%
등 20
 
2.1%
및 19
 
2.0%
제 17
 
1.8%
로 17
 
1.8%
동 17
 
1.8%
양 16
 
1.7%
Other values (185) 742
77.1%
Common
ValueCountFrequency (%)
264
72.9%
+ 38
 
10.5%
· 8
 
2.2%
) 6
 
1.7%
( 6
 
1.7%
3 6
 
1.7%
. 5
 
1.4%
6 4
 
1.1%
9 4
 
1.1%
’ 3
 
0.8%
Other values (10) 18
 
5.0%
Latin
ValueCountFrequency (%)
k 2
25.0%
g 2
25.0%
c 1
12.5%
m 1
12.5%
T 1
12.5%
V 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 962
72.2%
ASCII 354
 
26.6%
None 8
 
0.6%
Punctuation 8
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
74.6%
+ 38
 
10.7%
) 6
 
1.7%
( 6
 
1.7%
3 6
 
1.7%
. 5
 
1.4%
6 4
 
1.1%
9 4
 
1.1%
1 3
 
0.8%
4 3
 
0.8%
Other values (11) 15
 
4.2%
Hangul
ValueCountFrequency (%)
강 35
 
3.6%
영 29
 
3.0%
건 28
 
2.9%
활 22
 
2.3%
등 20
 
2.1%
및 19
 
2.0%
제 17
 
1.8%
로 17
 
1.8%
동 17
 
1.8%
양 16
 
1.7%
Other values (185) 742
77.1%
None
ValueCountFrequency (%)
· 8
100.0%
Punctuation
ValueCountFrequency (%)
’ 3
37.5%
‘ 3
37.5%
” 1
 
12.5%
“ 1
 
12.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-04-02
67 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-02
2nd row2024-04-02
3rd row2024-04-02
4th row2024-04-02
5th row2024-04-02

Common Values

ValueCountFrequency (%)
2024-04-02 67
100.0%

Length

2024-04-21T10:07:25.304245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:07:25.374180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-02 67
100.0%

Interactions

2024-04-21T10:07:22.207444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:07:25.422719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당기관생애주기별사업명운영내용연인원(명)비고
담당기관1.0000.6450.0000.8860.0001.000
생애주기별0.6451.0001.0000.9960.0001.000
사업명0.0001.0001.0000.9981.0001.000
운영내용0.8860.9960.9981.0001.0001.000
연인원(명)0.0000.0001.0001.0001.0001.000
비고1.0001.0001.0001.0001.0001.000
2024-04-21T10:07:25.510148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생애주기별담당기관
생애주기별1.0000.327
담당기관0.3271.000
2024-04-21T10:07:25.587420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연인원(명)담당기관생애주기별
연인원(명)1.0000.0000.000
담당기관0.0001.0000.327
생애주기별0.0000.3271.000

Missing values

2024-04-21T10:07:22.358249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:07:22.466763image/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.
2024-04-21T10:07:22.551850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

대상연도담당기관생애주기별사업명운영내용연인원(명)비고데이터기준일자
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