Overview

Dataset statistics

Number of variables7
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory61.1 B

Variable types

Text3
Numeric3
Categorical1

Dataset

Description대전광역시 공익활동지원사업에 대한 데이터로 단체명, 소재지, 사업명, 예산액(교부액), 집행액, 잔액, 집행률을 제공합니다.
URLhttps://www.data.go.kr/data/15062638/fileData.do

Alerts

예산액(교부액) is highly overall correlated with 집행액 High correlation
집행액 is highly overall correlated with 예산액(교부액) High correlation
잔액 is highly overall correlated with 집행률High correlation
집행률 is highly overall correlated with 잔액 High correlation
집행률 is highly imbalanced (70.4%)Imbalance
단체명 has unique valuesUnique
소재지 has unique valuesUnique
사업명 has unique valuesUnique
잔액 has 49 (76.6%) zerosZeros

Reproduction

Analysis started2023-12-12 06:51:48.215501
Analysis finished2023-12-12 06:51:49.926097
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T15:51:50.095209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14.5
Mean length9.921875
Min length3

Characters and Unicode

Total characters635
Distinct characters169
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row(사)해병대전우회 대전광역시연합회
2nd row넥스트클럽
3rd row국민안전관리연합회
4th row행복체험학교
5th row법무보호 대전지부보호위원연합회
ValueCountFrequency (%)
대전광역시 2
 
2.4%
사)해병대전우회 1
 
1.2%
행복배달후원회 1
 
1.2%
드림장애인인권센터 1
 
1.2%
민족사관 1
 
1.2%
금성노인대학 1
 
1.2%
한마음야학 1
 
1.2%
한밭문화마당 1
 
1.2%
한중교류문화연구소 1
 
1.2%
다누리센터 1
 
1.2%
Other values (72) 72
86.7%
2023-12-12T15:51:50.486857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 36
 
5.7%
대 34
 
5.4%
회 33
 
5.2%
사 24
 
3.8%
19
 
3.0%
인 15
 
2.4%
시 15
 
2.4%
국 15
 
2.4%
한 15
 
2.4%
원 13
 
2.0%
Other values (159) 416
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
92.9%
Space Separator 19
 
3.0%
Open Punctuation 12
 
1.9%
Close Punctuation 12
 
1.9%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 36
 
6.1%
대 34
 
5.8%
회 33
 
5.6%
사 24
 
4.1%
인 15
 
2.5%
시 15
 
2.5%
국 15
 
2.5%
한 15
 
2.5%
원 13
 
2.2%
연 12
 
2.0%
Other values (154) 378
64.1%
Lowercase Letter
ValueCountFrequency (%)
u 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
92.9%
Common 43
 
6.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 36
 
6.1%
대 34
 
5.8%
회 33
 
5.6%
사 24
 
4.1%
인 15
 
2.5%
시 15
 
2.5%
국 15
 
2.5%
한 15
 
2.5%
원 13
 
2.2%
연 12
 
2.0%
Other values (154) 378
64.1%
Common
ValueCountFrequency (%)
19
44.2%
( 12
27.9%
) 12
27.9%
Latin
ValueCountFrequency (%)
u 1
50.0%
p 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
92.9%
ASCII 45
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 36
 
6.1%
대 34
 
5.8%
회 33
 
5.6%
사 24
 
4.1%
인 15
 
2.5%
시 15
 
2.5%
국 15
 
2.5%
한 15
 
2.5%
원 13
 
2.2%
연 12
 
2.0%
Other values (154) 378
64.1%
ASCII
ValueCountFrequency (%)
19
42.2%
( 12
26.7%
) 12
26.7%
u 1
 
2.2%
p 1
 
2.2%

소재지
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T15:51:50.889814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length27.078125
Min length19

Characters and Unicode

Total characters1733
Distinct characters149
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

Unique64 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 대종로 370(향군회관 4층)
2nd row대전광역시 동구 백룡로 48번길 30
3rd row대전 유성구 대학로31,1902호(봉명동,한진리조텔)
4th row대전광역시 유성구 학하중앙로 148번길 20
5th row대전광역시 중구 대둔산로350번길 19
ValueCountFrequency (%)
대전광역시 58
 
17.2%
서구 21
 
6.2%
중구 19
 
5.6%
유성구 11
 
3.3%
동구 9
 
2.7%
동서대로 4
 
1.2%
대전 4
 
1.2%
대종로 3
 
0.9%
둔산로 2
 
0.6%
유성대로 2
 
0.6%
Other values (187) 205
60.7%
2023-12-12T15:51:51.480210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
 
16.4%
대 99
 
5.7%
전 69
 
4.0%
구 64
 
3.7%
시 62
 
3.6%
로 62
 
3.6%
1 60
 
3.5%
광 58
 
3.3%
역 58
 
3.3%
동 57
 
3.3%
Other values (139) 860
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1000
57.7%
Decimal Number 324
 
18.7%
Space Separator 284
 
16.4%
Open Punctuation 39
 
2.3%
Close Punctuation 39
 
2.3%
Other Punctuation 35
 
2.0%
Dash Punctuation 9
 
0.5%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 99
 
9.9%
전 69
 
6.9%
구 64
 
6.4%
시 62
 
6.2%
로 62
 
6.2%
광 58
 
5.8%
역 58
 
5.8%
동 57
 
5.7%
길 29
 
2.9%
서 28
 
2.8%
Other values (120) 414
41.4%
Decimal Number
ValueCountFrequency (%)
1 60
18.5%
2 44
13.6%
0 39
12.0%
3 39
12.0%
4 33
10.2%
5 28
8.6%
6 25
7.7%
7 21
 
6.5%
8 18
 
5.6%
9 17
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
T 1
33.3%
C 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 33
94.3%
. 2
 
5.7%
Space Separator
ValueCountFrequency (%)
284
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1000
57.7%
Common 730
42.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 99
 
9.9%
전 69
 
6.9%
구 64
 
6.4%
시 62
 
6.2%
로 62
 
6.2%
광 58
 
5.8%
역 58
 
5.8%
동 57
 
5.7%
길 29
 
2.9%
서 28
 
2.8%
Other values (120) 414
41.4%
Common
ValueCountFrequency (%)
284
38.9%
1 60
 
8.2%
2 44
 
6.0%
( 39
 
5.3%
) 39
 
5.3%
0 39
 
5.3%
3 39
 
5.3%
4 33
 
4.5%
, 33
 
4.5%
5 28
 
3.8%
Other values (6) 92
 
12.6%
Latin
ValueCountFrequency (%)
K 1
33.3%
T 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1000
57.7%
ASCII 733
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
38.7%
1 60
 
8.2%
2 44
 
6.0%
( 39
 
5.3%
) 39
 
5.3%
0 39
 
5.3%
3 39
 
5.3%
4 33
 
4.5%
, 33
 
4.5%
5 28
 
3.8%
Other values (9) 95
 
13.0%
Hangul
ValueCountFrequency (%)
대 99
 
9.9%
전 69
 
6.9%
구 64
 
6.4%
시 62
 
6.2%
로 62
 
6.2%
광 58
 
5.8%
역 58
 
5.8%
동 57
 
5.7%
길 29
 
2.9%
서 28
 
2.8%
Other values (120) 414
41.4%

사업명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T15:51:51.779567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length21.09375
Min length2

Characters and Unicode

Total characters1350
Distinct characters300
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

Unique64 ?
Unique (%)100.0%

Sample

1st row재난,인명구조 및 수중환경 봉사활동
2nd row280일간의 기적 프로젝트
3rd row"안전한 대전, 행복한 시민" 시민안전교육
4th row행복한 가정을 만들자
5th row법무보호대상자 자녀 정서회복 프로그램
ValueCountFrequency (%)
위한 7
 
2.4%
함께하는 5
 
1.7%
행복한 5
 
1.7%
프로젝트 5
 
1.7%
대전 5
 
1.7%
극복 4
 
1.4%
및 3
 
1.0%
캠페인 3
 
1.0%
프로그램 3
 
1.0%
함께 3
 
1.0%
Other values (239) 251
85.4%
2023-12-12T15:51:52.203274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
 
17.0%
로 31
 
2.3%
" 22
 
1.6%
복 21
 
1.6%
한 20
 
1.5%
사 19
 
1.4%
대 18
 
1.3%
전 17
 
1.3%
인 15
 
1.1%
기 15
 
1.1%
Other values (290) 942
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1019
75.5%
Space Separator 230
 
17.0%
Other Punctuation 50
 
3.7%
Decimal Number 18
 
1.3%
Lowercase Letter 16
 
1.2%
Uppercase Letter 9
 
0.7%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 31
 
3.0%
복 21
 
2.1%
한 20
 
2.0%
사 19
 
1.9%
대 18
 
1.8%
전 17
 
1.7%
인 15
 
1.5%
기 15
 
1.5%
는 14
 
1.4%
하 14
 
1.4%
Other values (259) 835
81.9%
Lowercase Letter
ValueCountFrequency (%)
l 3
18.8%
u 2
12.5%
t 2
12.5%
i 2
12.5%
m 2
12.5%
o 1
 
6.2%
f 1
 
6.2%
a 1
 
6.2%
e 1
 
6.2%
r 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
0 3
16.7%
1 3
16.7%
9 2
 
11.1%
7 1
 
5.6%
4 1
 
5.6%
8 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
B 2
22.2%
U 2
22.2%
D 1
11.1%
O 1
11.1%
N 1
11.1%
Other Punctuation
ValueCountFrequency (%)
" 22
44.0%
, 13
26.0%
! 13
26.0%
/ 2
 
4.0%
Space Separator
ValueCountFrequency (%)
230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1019
75.5%
Common 306
 
22.7%
Latin 25
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 31
 
3.0%
복 21
 
2.1%
한 20
 
2.0%
사 19
 
1.9%
대 18
 
1.8%
전 17
 
1.7%
인 15
 
1.5%
기 15
 
1.5%
는 14
 
1.4%
하 14
 
1.4%
Other values (259) 835
81.9%
Latin
ValueCountFrequency (%)
l 3
12.0%
u 2
 
8.0%
S 2
 
8.0%
B 2
 
8.0%
t 2
 
8.0%
i 2
 
8.0%
U 2
 
8.0%
m 2
 
8.0%
D 1
 
4.0%
o 1
 
4.0%
Other values (6) 6
24.0%
Common
ValueCountFrequency (%)
230
75.2%
" 22
 
7.2%
, 13
 
4.2%
! 13
 
4.2%
2 7
 
2.3%
( 3
 
1.0%
) 3
 
1.0%
0 3
 
1.0%
1 3
 
1.0%
9 2
 
0.7%
Other values (5) 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1019
75.5%
ASCII 331
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
69.5%
" 22
 
6.6%
, 13
 
3.9%
! 13
 
3.9%
2 7
 
2.1%
( 3
 
0.9%
) 3
 
0.9%
l 3
 
0.9%
0 3
 
0.9%
1 3
 
0.9%
Other values (21) 31
 
9.4%
Hangul
ValueCountFrequency (%)
로 31
 
3.0%
복 21
 
2.1%
한 20
 
2.0%
사 19
 
1.9%
대 18
 
1.8%
전 17
 
1.7%
인 15
 
1.5%
기 15
 
1.5%
는 14
 
1.4%
하 14
 
1.4%
Other values (259) 835
81.9%

예산액(교부액)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4218750
Minimum3000000
Maximum10000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:51:52.313662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13000000
median4000000
Q35000000
95-th percentile7000000
Maximum10000000
Range7000000
Interquartile range (IQR)2000000

Descriptive statistics

Standard deviation1396921.2
Coefficient of variation (CV)0.33112207
Kurtosis3.6718567
Mean4218750
Median Absolute Deviation (MAD)1000000
Skewness1.6148145
Sum2.7 × 108
Variance1.9513889 × 1012
MonotonicityNot monotonic
2023-12-12T15:51:52.411661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3000000 25
39.1%
5000000 16
25.0%
4000000 16
25.0%
7000000 5
 
7.8%
10000000 1
 
1.6%
6000000 1
 
1.6%
ValueCountFrequency (%)
3000000 25
39.1%
4000000 16
25.0%
5000000 16
25.0%
6000000 1
 
1.6%
7000000 5
 
7.8%
10000000 1
 
1.6%
ValueCountFrequency (%)
10000000 1
 
1.6%
7000000 5
 
7.8%
6000000 1
 
1.6%
5000000 16
25.0%
4000000 16
25.0%
3000000 25
39.1%

집행액
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4180313.3
Minimum2842400
Maximum9944680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:51:52.517739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2842400
5-th percentile3000000
Q13000000
median3998710
Q35000000
95-th percentile7000000
Maximum9944680
Range7102280
Interquartile range (IQR)2000000

Descriptive statistics

Standard deviation1403783.1
Coefficient of variation (CV)0.3358081
Kurtosis3.550394
Mean4180313.3
Median Absolute Deviation (MAD)998710
Skewness1.6204999
Sum2.6754005 × 108
Variance1.9706069 × 1012
MonotonicityNot monotonic
2023-12-12T15:51:52.631683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3000000 24
37.5%
5000000 11
17.2%
4000000 8
 
12.5%
7000000 5
 
7.8%
4993600 1
 
1.6%
3987350 1
 
1.6%
6000000 1
 
1.6%
2950570 1
 
1.6%
3769130 1
 
1.6%
4950000 1
 
1.6%
Other values (10) 10
15.6%
ValueCountFrequency (%)
2842400 1
 
1.6%
2950570 1
 
1.6%
3000000 24
37.5%
3530000 1
 
1.6%
3769130 1
 
1.6%
3982500 1
 
1.6%
3987350 1
 
1.6%
3990000 1
 
1.6%
3997580 1
 
1.6%
3999840 1
 
1.6%
ValueCountFrequency (%)
9944680 1
 
1.6%
7000000 5
7.8%
6000000 1
 
1.6%
5000000 11
17.2%
4993600 1
 
1.6%
4980000 1
 
1.6%
4950000 1
 
1.6%
4872400 1
 
1.6%
4750000 1
 
1.6%
4000000 8
12.5%

잔액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38436.719
Minimum0
Maximum1157600
Zeros49
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:51:52.757329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile215379.5
Maximum1157600
Range1157600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation159736.13
Coefficient of variation (CV)4.1558212
Kurtosis39.949071
Mean38436.719
Median Absolute Deviation (MAD)0
Skewness6.0160867
Sum2459950
Variance2.5515632 × 1010
MonotonicityNot monotonic
2023-12-12T15:51:52.935439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 49
76.6%
6400 1
 
1.6%
12650 1
 
1.6%
49430 1
 
1.6%
230870 1
 
1.6%
50000 1
 
1.6%
20000 1
 
1.6%
17500 1
 
1.6%
55320 1
 
1.6%
127600 1
 
1.6%
Other values (6) 6
 
9.4%
ValueCountFrequency (%)
0 49
76.6%
160 1
 
1.6%
2420 1
 
1.6%
6400 1
 
1.6%
10000 1
 
1.6%
12650 1
 
1.6%
17500 1
 
1.6%
20000 1
 
1.6%
49430 1
 
1.6%
50000 1
 
1.6%
ValueCountFrequency (%)
1157600 1
1.6%
470000 1
1.6%
250000 1
1.6%
230870 1
1.6%
127600 1
1.6%
55320 1
1.6%
50000 1
1.6%
49430 1
1.6%
20000 1
1.6%
17500 1
1.6%

집행률
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size644.0 B
100%
56 
99%
 
2
97%
 
1
88%
 
1
95%
 
1
Other values (3)
 
3

Length

Max length4
Median length4
Mean length3.875
Min length3

Unique

Unique6 ?
Unique (%)9.4%

Sample

1st row100%
2nd row100%
3rd row100%
4th row100%
5th row97%

Common Values

ValueCountFrequency (%)
100% 56
87.5%
99% 2
 
3.1%
97% 1
 
1.6%
88% 1
 
1.6%
95% 1
 
1.6%
71% 1
 
1.6%
94% 1
 
1.6%
98% 1
 
1.6%

Length

2023-12-12T15:51:53.069155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:53.185209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 56
87.5%
99 2
 
3.1%
97 1
 
1.6%
88 1
 
1.6%
95 1
 
1.6%
71 1
 
1.6%
94 1
 
1.6%
98 1
 
1.6%

Interactions

2023-12-12T15:51:49.186736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:48.672425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:48.916867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:49.269372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:48.753587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:49.003547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:49.366080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:48.839678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:51:49.089617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:51:53.281221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명소재지사업명예산액(교부액)집행액잔액집행률
단체명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
사업명1.0001.0001.0001.0001.0001.0001.000
예산액(교부액)1.0001.0001.0001.0001.0000.0000.231
집행액1.0001.0001.0001.0001.0000.4190.801
잔액1.0001.0001.0000.0000.4191.0001.000
집행률1.0001.0001.0000.2310.8011.0001.000
2023-12-12T15:51:53.399306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산액(교부액)집행액잔액집행률
예산액(교부액)1.0000.9580.2240.221
집행액0.9581.0000.0080.380
잔액0.2240.0081.0000.974
집행률0.2210.3800.9741.000

Missing values

2023-12-12T15:51:49.487125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:51:49.876614image/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

단체명소재지사업명예산액(교부액)집행액잔액집행률
0(사)해병대전우회 대전광역시연합회대전광역시 중구 대종로 370(향군회관 4층)재난,인명구조 및 수중환경 봉사활동300000030000000100%
1넥스트클럽대전광역시 동구 백룡로 48번길 30280일간의 기적 프로젝트300000030000000100%
2국민안전관리연합회대전 유성구 대학로31,1902호(봉명동,한진리조텔)"안전한 대전, 행복한 시민" 시민안전교육700000070000000100%
3행복체험학교대전광역시 유성구 학하중앙로 148번길 20행복한 가정을 만들자500000050000000100%
4법무보호 대전지부보호위원연합회대전광역시 중구 대둔산로350번길 19법무보호대상자 자녀 정서회복 프로그램5000000487240012760097%
5한국(성)폭력예방운동본부대전 서구 둔산중로 14번길 36,927호(탄방동 하이플러스)사회적 약자 보호4000000353000047000088%
6대전지역사회교육협의회대전광역시 서구 신갈마로195번길 13, 교육관통통한 커뮤니케이션 전문강사 양성과정500000050000000100%
7(사)한국교통안전시민협회대전광역시 동구 계족로 108, 2층(신흥동)선진 교통문화를 위한 교통안전지킴이 캠페인300000030000000100%
8파랑새인성교육원대전광역시 서구 신갈마로153, 용우빌딩 3층10대야, 우리함께 즐겁게 놀자500000050000000100%
9(사)전국모범운전자연합회 대전시지부대전광역시 대종로 373 한밭체육관 2층(부사동)깨끗한 강,하천을 만들어 살기 좋은 대전 만들기 캠페인300000030000000100%
단체명소재지사업명예산액(교부액)집행액잔액집행률
54대전국학원대전시 중구 동서대로 1319-1, 만복빌딩 4층(용두동)우리 역사를 통해 배우는 한민족의 "얼"700000070000000100%
55대전문화정책포럼대전광역시 서구 둔산중로 138, 1405호(주은오피스텔)카이스트 대학생과 가족이 함께하는 스마트과학문화교실500000050000000100%
56(사)우리공원가꾸기 운동본부대전광역시 대덕구 대화로 32번길 80, 2동꿈이 있는 모두의 공원500000050000000100%
57대전흥사단대전광역시 동구 우암로277번길 84D프로젝트! 민주피아 강사 양성과정300000030000000100%
58법률구조법인 대한가정법률복지상담원대전광역시 동구 동부로 56-8, 203호코로나블루 안녕! 온통시민 행복테라피300000030000000100%
59대전광역시 생활문화 종합예술단대전시 서구 문정로174 (둔산동). 지하품격높은문화도시400000040000000100%
60대전웅변연설협회대전광역시 중구 대종로 553 선화동 청구빌딩 306호제27회 대전광역시장배 대전사랑 스피치대회300000029505704943098%
61(사)대전광역시개발위원회대전광역시 서구 한밭대로 705 한미빌딩 4층(월평동)보문산 중부권 도시여행지 이미지 구축을 위한 시민공감대 형성600000060000000100%
62행복배달후원회대전광역시 서구 신갈마로 153, 3층(갈마동)결혼이주여성 대전알리미 서포터즈단/다문화시대, 전하는 mom700000070000000100%
63행복실버교육연구회대전광역시 유성구 원신흥로 55번길 66-14건강한 사회를 위한 세대통합사업 "배제에서 배려로"4000000398735012650100%