Overview

Dataset statistics

Number of variables9
Number of observations302
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.7 KiB
Average record size in memory73.4 B

Variable types

Numeric1
Categorical4
Text4

Dataset

Description충청남도의 중장기 계획에 대한 자료로써 분류구분, 계획명, 기간, 주체, 담당부서, 담당자 정보등을 제공하고자 합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=377&beforeMenuCd=DOM_000000201001001000&publicdatapk=15063376

Alerts

수립주체 is highly overall correlated with 분류(1)High correlation
분류(1) is highly overall correlated with 수립주체High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:05:59.274736
Analysis finished2024-01-09 21:06:00.231468
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct302
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.5
Minimum1
Maximum302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T06:06:00.313620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.05
Q176.25
median151.5
Q3226.75
95-th percentile286.95
Maximum302
Range301
Interquartile range (IQR)150.5

Descriptive statistics

Standard deviation87.324109
Coefficient of variation (CV)0.57639676
Kurtosis-1.2
Mean151.5
Median Absolute Deviation (MAD)75.5
Skewness0
Sum45753
Variance7625.5
MonotonicityStrictly increasing
2024-01-10T06:06:00.464730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
209 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
Other values (292) 292
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%

분류(1)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
도 중장기계획
152 
국가계획
150 

Length

Max length7
Median length7
Mean length5.5099338
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가계획
2nd row도 중장기계획
3rd row국가계획
4th row도 중장기계획
5th row국가계획

Common Values

ValueCountFrequency (%)
도 중장기계획 152
50.3%
국가계획 150
49.7%

Length

2024-01-10T06:06:00.589794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:06:00.682077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도 152
33.5%
중장기계획 152
33.5%
국가계획 150
33.0%

분류(2)
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
법정계획
249 
비법정계획
53 

Length

Max length5
Median length4
Mean length4.1754967
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법정계획 249
82.5%
비법정계획 53
 
17.5%

Length

2024-01-10T06:06:00.780041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:06:00.880027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법정계획 249
82.5%
비법정계획 53
 
17.5%

계획명
Text

Distinct300
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T06:06:01.112754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length18.725166
Min length7

Characters and Unicode

Total characters5655
Distinct characters275
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique298 ?
Unique (%)98.7%

Sample

1st row제3차 외국인정책 기본계획
2nd row제3차 외국인정책 기본계획 2022년도 시행계획
3rd row제3차 다문화가족정책 기본계획
4th row제3차 다문화가족정책 기본계획(2018∼2022) 2022년도 시행계획
5th row제6차 청소년정책기본계획
ValueCountFrequency (%)
충청남도 84
 
7.9%
기본계획 82
 
7.7%
시행계획 43
 
4.1%
제3차 39
 
3.7%
제2차 31
 
2.9%
제4차 25
 
2.4%
계획 23
 
2.2%
2022년 22
 
2.1%
및 19
 
1.8%
2022년도 18
 
1.7%
Other values (471) 673
63.6%
2024-01-10T06:06:01.499687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
758
 
13.4%
계 325
 
5.7%
획 312
 
5.5%
2 291
 
5.1%
기 171
 
3.0%
제 158
 
2.8%
차 155
 
2.7%
도 134
 
2.4%
0 126
 
2.2%
본 122
 
2.2%
Other values (265) 3103
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4071
72.0%
Space Separator 758
 
13.4%
Decimal Number 660
 
11.7%
Close Punctuation 50
 
0.9%
Open Punctuation 50
 
0.9%
Math Symbol 31
 
0.5%
Other Punctuation 21
 
0.4%
Uppercase Letter 7
 
0.1%
Lowercase Letter 3
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 325
 
8.0%
획 312
 
7.7%
기 171
 
4.2%
제 158
 
3.9%
차 155
 
3.8%
도 134
 
3.3%
본 122
 
3.0%
충 111
 
2.7%
남 107
 
2.6%
청 97
 
2.4%
Other values (232) 2379
58.4%
Decimal Number
ValueCountFrequency (%)
2 291
44.1%
0 126
19.1%
3 63
 
9.5%
1 56
 
8.5%
5 44
 
6.7%
4 37
 
5.6%
6 14
 
2.1%
9 12
 
1.8%
8 10
 
1.5%
7 7
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
D 2
28.6%
G 1
14.3%
S 1
14.3%
R 1
14.3%
T 1
14.3%
C 1
14.3%
Other Punctuation
ValueCountFrequency (%)
' 8
38.1%
· 6
28.6%
. 5
23.8%
/ 1
 
4.8%
& 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
s 1
33.3%
h 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 49
98.0%
」 1
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 49
98.0%
「 1
 
2.0%
Math Symbol
ValueCountFrequency (%)
~ 30
96.8%
∼ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
758
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4071
72.0%
Common 1574
 
27.8%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 325
 
8.0%
획 312
 
7.7%
기 171
 
4.2%
제 158
 
3.9%
차 155
 
3.8%
도 134
 
3.3%
본 122
 
3.0%
충 111
 
2.7%
남 107
 
2.6%
청 97
 
2.4%
Other values (232) 2379
58.4%
Common
ValueCountFrequency (%)
758
48.2%
2 291
 
18.5%
0 126
 
8.0%
3 63
 
4.0%
1 56
 
3.6%
) 49
 
3.1%
( 49
 
3.1%
5 44
 
2.8%
4 37
 
2.4%
~ 30
 
1.9%
Other values (14) 71
 
4.5%
Latin
ValueCountFrequency (%)
D 2
20.0%
p 1
10.0%
s 1
10.0%
G 1
10.0%
S 1
10.0%
h 1
10.0%
R 1
10.0%
T 1
10.0%
C 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4071
72.0%
ASCII 1573
 
27.8%
None 8
 
0.1%
Punctuation 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
758
48.2%
2 291
 
18.5%
0 126
 
8.0%
3 63
 
4.0%
1 56
 
3.6%
) 49
 
3.1%
( 49
 
3.1%
5 44
 
2.8%
4 37
 
2.4%
~ 30
 
1.9%
Other values (18) 70
 
4.5%
Hangul
ValueCountFrequency (%)
계 325
 
8.0%
획 312
 
7.7%
기 171
 
4.2%
제 158
 
3.9%
차 155
 
3.8%
도 134
 
3.3%
본 122
 
3.0%
충 111
 
2.7%
남 107
 
2.6%
청 97
 
2.4%
Other values (232) 2379
58.4%
None
ValueCountFrequency (%)
· 6
75.0%
」 1
 
12.5%
「 1
 
12.5%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

계획기간
Categorical

Distinct50
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2018 ~ 2022
54 
2022 ~ 2022
48 
2021 ~ 2025
29 
2021 ~ 2030
22 
2019 ~ 2023
19 
Other values (45)
130 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique20 ?
Unique (%)6.6%

Sample

1st row2018 ~ 2022
2nd row2022 ~ 2022
3rd row2018 ~ 2022
4th row2022 ~ 2022
5th row2018 ~ 2022

Common Values

ValueCountFrequency (%)
2018 ~ 2022 54
17.9%
2022 ~ 2022 48
15.9%
2021 ~ 2025 29
 
9.6%
2021 ~ 2030 22
 
7.3%
2019 ~ 2023 19
 
6.3%
2020 ~ 2024 16
 
5.3%
2022 ~ 2026 11
 
3.6%
2016 ~ 2025 10
 
3.3%
2017 ~ 2021 9
 
3.0%
2021 ~ 2021 8
 
2.6%
Other values (40) 76
25.2%

Length

2024-01-10T06:06:01.626938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
302
33.3%
2022 177
19.5%
2021 85
 
9.4%
2018 64
 
7.1%
2025 44
 
4.9%
2030 35
 
3.9%
2019 33
 
3.6%
2020 32
 
3.5%
2023 24
 
2.6%
2024 18
 
2.0%
Other values (19) 92
 
10.2%

수립연월
Text

Distinct82
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T06:06:01.772825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters2718
Distinct characters13
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

Unique29 ?
Unique (%)9.6%

Sample

1st row2018년 02월
2nd row2021년 10월
3rd row2018년 03월
4th row2021년 12월
5th row2018년 02월
ValueCountFrequency (%)
12월 92
15.2%
2021년 68
11.3%
2018년 55
9.1%
01월 47
 
7.8%
2022년 46
 
7.6%
2017년 37
 
6.1%
2020년 33
 
5.5%
03월 33
 
5.5%
2019년 32
 
5.3%
02월 30
 
5.0%
Other values (17) 131
21.7%
2024-01-10T06:06:02.046940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 620
22.8%
0 534
19.6%
1 407
15.0%
년 302
11.1%
302
11.1%
월 302
11.1%
8 67
 
2.5%
7 49
 
1.8%
9 43
 
1.6%
3 34
 
1.3%
Other values (3) 58
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1812
66.7%
Other Letter 604
 
22.2%
Space Separator 302
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 620
34.2%
0 534
29.5%
1 407
22.5%
8 67
 
3.7%
7 49
 
2.7%
9 43
 
2.4%
3 34
 
1.9%
6 23
 
1.3%
4 18
 
1.0%
5 17
 
0.9%
Other Letter
ValueCountFrequency (%)
년 302
50.0%
월 302
50.0%
Space Separator
ValueCountFrequency (%)
302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2114
77.8%
Hangul 604
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 620
29.3%
0 534
25.3%
1 407
19.3%
302
14.3%
8 67
 
3.2%
7 49
 
2.3%
9 43
 
2.0%
3 34
 
1.6%
6 23
 
1.1%
4 18
 
0.9%
Hangul
ValueCountFrequency (%)
년 302
50.0%
월 302
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2114
77.8%
Hangul 604
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 620
29.3%
0 534
25.3%
1 407
19.3%
302
14.3%
8 67
 
3.2%
7 49
 
2.3%
9 43
 
2.0%
3 34
 
1.6%
6 23
 
1.1%
4 18
 
0.9%
Hangul
ValueCountFrequency (%)
년 302
50.0%
월 302
50.0%

수립주체
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
충청남도지사
154 
해양수산부장관
22 
국토교통부장관
21 
환경부장관
 
12
농림축산식품부장관
 
9
Other values (39)
84 

Length

Max length26
Median length6
Mean length6.7218543
Min length3

Unique

Unique23 ?
Unique (%)7.6%

Sample

1st row법무부장관
2nd row충청남도지사
3rd row여성가족부
4th row충청남도지사
5th row여성가족부장관

Common Values

ValueCountFrequency (%)
충청남도지사 154
51.0%
해양수산부장관 22
 
7.3%
국토교통부장관 21
 
7.0%
환경부장관 12
 
4.0%
농림축산식품부장관 9
 
3.0%
문화체육관광부장관 9
 
3.0%
보건복지부장관 8
 
2.6%
국토교통부 6
 
2.0%
산업통상자원부 5
 
1.7%
산업통상자원부장관 4
 
1.3%
Other values (34) 52
 
17.2%

Length

2024-01-10T06:06:02.176679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도지사 154
49.4%
해양수산부장관 23
 
7.4%
국토교통부장관 22
 
7.1%
환경부장관 12
 
3.8%
문화체육관광부장관 10
 
3.2%
농림축산식품부장관 9
 
2.9%
보건복지부장관 8
 
2.6%
국토교통부 7
 
2.2%
산업통상자원부 5
 
1.6%
여성가족부장관 4
 
1.3%
Other values (38) 58
 
18.6%

총괄부서
Text

Distinct58
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T06:06:02.345830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length14.139073
Min length11

Characters and Unicode

Total characters4270
Distinct characters118
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

Unique8 ?
Unique (%)2.6%

Sample

1st row여성가족정책관 > 여성가족정책관
2nd row여성가족정책관 > 여성가족정책관
3rd row여성가족정책관 > 여성가족정책관
4th row여성가족정책관 > 여성가족정책관
5th row여성가족정책관 > 여성가족정책관
ValueCountFrequency (%)
302
33.3%
해양수산국 41
 
4.5%
저출산보건복지실 37
 
4.1%
건설교통국 37
 
4.1%
농림축산국 35
 
3.9%
여성가족정책관 34
 
3.8%
기후환경국 30
 
3.3%
미래산업국 19
 
2.1%
문화체육관광국 18
 
2.0%
물관리정책과 16
 
1.8%
Other values (64) 337
37.2%
2024-01-10T06:06:02.656982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
604
 
14.1%
> 302
 
7.1%
과 264
 
6.2%
국 205
 
4.8%
정 182
 
4.3%
산 180
 
4.2%
책 145
 
3.4%
관 108
 
2.5%
건 99
 
2.3%
지 81
 
1.9%
Other values (108) 2100
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3364
78.8%
Space Separator 604
 
14.1%
Math Symbol 302
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 264
 
7.8%
국 205
 
6.1%
정 182
 
5.4%
산 180
 
5.4%
책 145
 
4.3%
관 108
 
3.2%
건 99
 
2.9%
지 81
 
2.4%
기 66
 
2.0%
해 64
 
1.9%
Other values (106) 1970
58.6%
Space Separator
ValueCountFrequency (%)
604
100.0%
Math Symbol
ValueCountFrequency (%)
> 302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3364
78.8%
Common 906
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 264
 
7.8%
국 205
 
6.1%
정 182
 
5.4%
산 180
 
5.4%
책 145
 
4.3%
관 108
 
3.2%
건 99
 
2.9%
지 81
 
2.4%
기 66
 
2.0%
해 64
 
1.9%
Other values (106) 1970
58.6%
Common
ValueCountFrequency (%)
604
66.7%
> 302
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3364
78.8%
ASCII 906
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
604
66.7%
> 302
33.3%
Hangul
ValueCountFrequency (%)
과 264
 
7.8%
국 205
 
6.1%
정 182
 
5.4%
산 180
 
5.4%
책 145
 
4.3%
관 108
 
3.2%
건 99
 
2.9%
지 81
 
2.4%
기 66
 
2.0%
해 64
 
1.9%
Other values (106) 1970
58.6%

총괄담당자
Text

Distinct165
Distinct (%)55.0%
Missing2
Missing (%)0.7%
Memory size2.5 KiB
2024-01-10T06:06:02.969302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9833333
Min length2

Characters and Unicode

Total characters895
Distinct characters130
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

Unique64 ?
Unique (%)21.3%

Sample

1st row이규빈
2nd row이규빈
3rd row강혜련
4th row강혜련
5th row조수연
ValueCountFrequency (%)
전상기 5
 
1.7%
박기석 5
 
1.7%
서보람 4
 
1.3%
김미영 4
 
1.3%
박기용 4
 
1.3%
이승철 4
 
1.3%
고강민 3
 
1.0%
안재림 3
 
1.0%
황효성 3
 
1.0%
방상수 3
 
1.0%
Other values (155) 262
87.3%
2024-01-10T06:06:03.404460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 45
 
5.0%
박 41
 
4.6%
김 39
 
4.4%
성 27
 
3.0%
기 24
 
2.7%
상 23
 
2.6%
영 23
 
2.6%
민 20
 
2.2%
강 20
 
2.2%
정 19
 
2.1%
Other values (120) 614
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 45
 
5.0%
박 41
 
4.6%
김 39
 
4.4%
성 27
 
3.0%
기 24
 
2.7%
상 23
 
2.6%
영 23
 
2.6%
민 20
 
2.2%
강 20
 
2.2%
정 19
 
2.1%
Other values (120) 614
68.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 45
 
5.0%
박 41
 
4.6%
김 39
 
4.4%
성 27
 
3.0%
기 24
 
2.7%
상 23
 
2.6%
영 23
 
2.6%
민 20
 
2.2%
강 20
 
2.2%
정 19
 
2.1%
Other values (120) 614
68.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 45
 
5.0%
박 41
 
4.6%
김 39
 
4.4%
성 27
 
3.0%
기 24
 
2.7%
상 23
 
2.6%
영 23
 
2.6%
민 20
 
2.2%
강 20
 
2.2%
정 19
 
2.1%
Other values (120) 614
68.6%

Interactions

2024-01-10T06:05:59.962207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:06:03.500728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류(1)분류(2)계획기간수립연월수립주체총괄부서
연번1.0000.2430.2970.6060.3980.8430.998
분류(1)0.2431.0000.5100.5580.4361.0000.159
분류(2)0.2970.5101.0000.3540.5760.1960.454
계획기간0.6060.5580.3541.0000.9670.3090.722
수립연월0.3980.4360.5760.9671.0000.0000.000
수립주체0.8431.0000.1960.3090.0001.0000.902
총괄부서0.9980.1590.4540.7220.0000.9021.000
2024-01-10T06:06:03.603126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류(2)계획기간수립주체분류(1)
분류(2)1.0000.2580.1430.341
계획기간0.2581.0000.0530.410
수립주체0.1430.0531.0000.913
분류(1)0.3410.4100.9131.000
2024-01-10T06:06:03.695444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류(1)분류(2)계획기간수립주체
연번1.0000.1840.2240.2200.454
분류(1)0.1841.0000.3410.4100.913
분류(2)0.2240.3411.0000.2580.143
계획기간0.2200.4100.2581.0000.053
수립주체0.4540.9130.1430.0531.000

Missing values

2024-01-10T06:06:00.065365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:06:00.179673image/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

연번분류(1)분류(2)계획명계획기간수립연월수립주체총괄부서총괄담당자
01국가계획법정계획제3차 외국인정책 기본계획2018 ~ 20222018년 02월법무부장관여성가족정책관 > 여성가족정책관이규빈
12도 중장기계획법정계획제3차 외국인정책 기본계획 2022년도 시행계획2022 ~ 20222021년 10월충청남도지사여성가족정책관 > 여성가족정책관이규빈
23국가계획법정계획제3차 다문화가족정책 기본계획2018 ~ 20222018년 03월여성가족부여성가족정책관 > 여성가족정책관강혜련
34도 중장기계획법정계획제3차 다문화가족정책 기본계획(2018∼2022) 2022년도 시행계획2022 ~ 20222021년 12월충청남도지사여성가족정책관 > 여성가족정책관강혜련
45국가계획법정계획제6차 청소년정책기본계획2018 ~ 20222018년 02월여성가족부장관여성가족정책관 > 여성가족정책관조수연
56도 중장기계획법정계획제6차 청소년정책기본계획 2022년도 충청남도 청소년정책 시행계획2022 ~ 20222022년 03월충청남도지사여성가족정책관 > 여성가족정책관김진철
67국가계획법정계획제4차 건강가정 기본계획(2021~2025)2021 ~ 20252021년 04월여성가족부장관여성가족정책관 > 여성가족정책관서보람
78도 중장기계획법정계획제4차 건강가정기본계획 2022년도 시행계획2022 ~ 20222022년 01월충청남도지사여성가족정책관 > 여성가족정책관서보람
89국가계획법정계획제3차 경력단절여성등의 경제활동촉진 기본계획2020 ~ 20242020년 02월여성가족부장관여성가족정책관 > 여성가족정책관박지은
910도 중장기계획법정계획「제3차 경력단절여성등의 경제활동 촉진 기본계획」 2022년도 시행계획2022 ~ 20222022년 01월충청남도지사여성가족정책관 > 여성가족정책관박지은
연번분류(1)분류(2)계획명계획기간수립연월수립주체총괄부서총괄담당자
292293국가계획법정계획제2차 소방공무원 보건안전 및 복지 기본계획2022 ~ 20252020년 12월소방청소방본부 > 소방행정과김병훈
293294국가계획법정계획2022년도 보건안전 및 복지 연도별 시행계획2022 ~ 20222021년 12월소방청소방본부 > 소방행정과김병훈
294295도 중장기계획법정계획2022년도 소방공무원 보건안전 및 복지집행 계획2022 ~ 20222022년 01월충청남도지사소방본부 > 소방행정과김병훈
295296국가계획법정계획제3차 다중이용업소 안전관리 기본계획2019 ~ 20232018년 12월소방청소방본부 > 예방안전과박동규
296297도 중장기계획법정계획2022년도 다중이용업소 안전관리계획2022 ~ 20222022년 01월충청남도지사소방본부 > 예방안전과박동규
297298국가계획법정계획제3차 도서관발전종합계획(2019-2023)2019 ~ 20232019년 03월문화체육관광부장관충남도서관 > 도서관정책과최현주
298299도 중장기계획법정계획충청남도 제1차(2019년~2023년) 도서관발전종합계획2019 ~ 20232018년 12월충청남도지사충남도서관 > 도서관정책과최현주
299300도 중장기계획법정계획제3차 도서관발전종합계획(2019~2023)2022년 시행계획2022 ~ 20222021년 12월충청남도지사충남도서관 > 도서관정책과최현주
300301국가계획법정계획제3차 독서문화진흥 기본계획(2019-2023)2019 ~ 20232019년 04월문화체육관광부장관충남도서관 > 도서관정책과박광일
301302도 중장기계획법정계획2022년 독서문화진흥 시행계획2022 ~ 20222022년 03월충청남도지사충남도서관 > 도서관정책과박광일