Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory108.0 B

Variable types

Categorical3
Text3
Numeric2
DateTime2
Boolean2

Dataset

Description한국노인인력개발원에서 제공하는 노인일자리 사업의 사업계획서에 따른 재정(예산) 정보로 사업유형, 사업번호, 사업명 등의 항목을 제공합니다.
Author한국노인인력개발원
URLhttps://www.data.go.kr/data/15050146/fileData.do

Alerts

사업년도 has constant value ""Constant
추경여부 has constant value ""Constant
예산구분 is highly imbalanced (92.8%)Imbalance
삭제여부 is highly imbalanced (51.9%)Imbalance
사업번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:12:57.894097
Analysis finished2023-12-12 12:13:00.397176
Duration2.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업유형
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공익활동형
5629 
사회서비스형
2410 
시장형
1961 

Length

Max length6
Median length5
Mean length4.8488
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공익활동형
2nd row사회서비스형
3rd row공익활동형
4th row공익활동형
5th row공익활동형

Common Values

ValueCountFrequency (%)
공익활동형 5629
56.3%
사회서비스형 2410
24.1%
시장형 1961
 
19.6%

Length

2023-12-12T21:13:00.468805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:00.604397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공익활동형 5629
56.3%
사회서비스형 2410
24.1%
시장형 1961
 
19.6%

사업번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:13:00.981272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row2023-05554
2nd row2023-02403
3rd row2023-00550
4th row2023-00090
5th row2023-04390
ValueCountFrequency (%)
2023-05554 1
 
< 0.1%
2023-06498 1
 
< 0.1%
2023-06986 1
 
< 0.1%
2023-03120 1
 
< 0.1%
2023-08435 1
 
< 0.1%
2023-03848 1
 
< 0.1%
2023-00034 1
 
< 0.1%
2023-09170 1
 
< 0.1%
2023-00134 1
 
< 0.1%
2023-01579 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T21:13:01.513502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 23948
23.9%
0 23035
23.0%
3 13966
14.0%
- 10000
10.0%
1 5588
 
5.6%
6 3973
 
4.0%
5 3970
 
4.0%
7 3911
 
3.9%
4 3909
 
3.9%
8 3895
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
90.0%
Dash Punctuation 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23948
26.6%
0 23035
25.6%
3 13966
15.5%
1 5588
 
6.2%
6 3973
 
4.4%
5 3970
 
4.4%
7 3911
 
4.3%
4 3909
 
4.3%
8 3895
 
4.3%
9 3805
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 23948
23.9%
0 23035
23.0%
3 13966
14.0%
- 10000
10.0%
1 5588
 
5.6%
6 3973
 
4.0%
5 3970
 
4.0%
7 3911
 
3.9%
4 3909
 
3.9%
8 3895
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 23948
23.9%
0 23035
23.0%
3 13966
14.0%
- 10000
10.0%
1 5588
 
5.6%
6 3973
 
4.0%
5 3970
 
4.0%
7 3911
 
3.9%
4 3909
 
3.9%
8 3895
 
3.9%

사업계획변경순번
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1254
Minimum0
Maximum12
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:13:01.701539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2621546
Coefficient of variation (CV)0.59384331
Kurtosis3.5340419
Mean2.1254
Median Absolute Deviation (MAD)1
Skewness1.5468198
Sum21254
Variance1.5930341
MonotonicityNot monotonic
2023-12-12T21:13:01.855574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3836
38.4%
2 3203
32.0%
3 1692
16.9%
4 759
 
7.6%
5 291
 
2.9%
6 133
 
1.3%
7 55
 
0.5%
8 18
 
0.2%
9 6
 
0.1%
10 3
 
< 0.1%
Other values (3) 4
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3836
38.4%
2 3203
32.0%
3 1692
16.9%
4 759
 
7.6%
5 291
 
2.9%
6 133
 
1.3%
7 55
 
0.5%
8 18
 
0.2%
9 6
 
0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 2
 
< 0.1%
10 3
 
< 0.1%
9 6
 
0.1%
8 18
 
0.2%
7 55
 
0.5%
6 133
 
1.3%
5 291
 
2.9%
4 759
7.6%
3 1692
16.9%

사업년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023
10000 

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 10000
100.0%

Length

2023-12-12T21:13:02.014472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:02.121751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 10000
100.0%

사업명
Text

Distinct7362
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:13:02.362474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length9.482
Min length1

Characters and Unicode

Total characters94820
Distinct characters848
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6348 ?
Unique (%)63.5%

Sample

1st row노노케어
2nd row우체국공공행정업무지원사업
3rd row경로식당보조(무료급식도우미)
4th row문화재시설봉사
5th row경전철이용도우미
ValueCountFrequency (%)
노노케어 263
 
1.9%
및 200
 
1.4%
시니어 153
 
1.1%
경로당 126
 
0.9%
지원 115
 
0.8%
도우미 102
 
0.7%
사업 95
 
0.7%
사업단 74
 
0.5%
봉사 70
 
0.5%
노인일자리 68
 
0.5%
Other values (7604) 12897
91.1%
2023-12-12T21:13:02.875788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4267
 
4.5%
4267
 
4.5%
사 4213
 
4.4%
업 2780
 
2.9%
시 2648
 
2.8%
원 2381
 
2.5%
이 1883
 
2.0%
도 1697
 
1.8%
공 1664
 
1.8%
설 1643
 
1.7%
Other values (838) 67377
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85631
90.3%
Space Separator 4267
 
4.5%
Close Punctuation 1320
 
1.4%
Open Punctuation 1320
 
1.4%
Decimal Number 1028
 
1.1%
Uppercase Letter 385
 
0.4%
Other Punctuation 380
 
0.4%
Dash Punctuation 201
 
0.2%
Lowercase Letter 199
 
0.2%
Letter Number 23
 
< 0.1%
Other values (6) 66
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4267
 
5.0%
사 4213
 
4.9%
업 2780
 
3.2%
시 2648
 
3.1%
원 2381
 
2.8%
이 1883
 
2.2%
도 1697
 
2.0%
공 1664
 
1.9%
설 1643
 
1.9%
노 1602
 
1.9%
Other values (749) 60853
71.1%
Uppercase Letter
ValueCountFrequency (%)
E 51
13.2%
S 47
12.2%
C 39
10.1%
G 36
9.4%
M 32
 
8.3%
A 26
 
6.8%
T 22
 
5.7%
K 20
 
5.2%
O 17
 
4.4%
U 12
 
3.1%
Other values (14) 83
21.6%
Lowercase Letter
ValueCountFrequency (%)
e 49
24.6%
a 25
12.6%
f 23
11.6%
i 20
10.1%
n 16
 
8.0%
c 11
 
5.5%
r 8
 
4.0%
o 7
 
3.5%
l 6
 
3.0%
m 5
 
2.5%
Other values (12) 29
14.6%
Other Punctuation
ValueCountFrequency (%)
, 101
26.6%
' 95
25.0%
" 62
16.3%
& 35
 
9.2%
. 26
 
6.8%
· 21
 
5.5%
! 18
 
4.7%
: 11
 
2.9%
# 4
 
1.1%
? 3
 
0.8%
Other values (2) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 303
29.5%
1 186
18.1%
0 135
13.1%
3 129
12.5%
9 74
 
7.2%
8 63
 
6.1%
5 50
 
4.9%
6 47
 
4.6%
4 22
 
2.1%
7 19
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 3
33.3%
> 2
22.2%
+ 2
22.2%
⇒ 1
 
11.1%
< 1
 
11.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
43.5%
Ⅰ 9
39.1%
Ⅲ 4
 
17.4%
Close Punctuation
ValueCountFrequency (%)
) 1300
98.5%
] 20
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 1300
98.5%
[ 20
 
1.5%
Initial Punctuation
ValueCountFrequency (%)
“ 12
63.2%
‘ 7
36.8%
Final Punctuation
ValueCountFrequency (%)
” 12
66.7%
’ 6
33.3%
Space Separator
ValueCountFrequency (%)
4267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 201
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85567
90.2%
Common 8582
 
9.1%
Latin 607
 
0.6%
Han 64
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4267
 
5.0%
사 4213
 
4.9%
업 2780
 
3.2%
시 2648
 
3.1%
원 2381
 
2.8%
이 1883
 
2.2%
도 1697
 
2.0%
공 1664
 
1.9%
설 1643
 
1.9%
노 1602
 
1.9%
Other values (729) 60789
71.0%
Latin
ValueCountFrequency (%)
E 51
 
8.4%
e 49
 
8.1%
S 47
 
7.7%
C 39
 
6.4%
G 36
 
5.9%
M 32
 
5.3%
A 26
 
4.3%
a 25
 
4.1%
f 23
 
3.8%
T 22
 
3.6%
Other values (39) 257
42.3%
Common
ValueCountFrequency (%)
4267
49.7%
) 1300
 
15.1%
( 1300
 
15.1%
2 303
 
3.5%
- 201
 
2.3%
1 186
 
2.2%
0 135
 
1.6%
3 129
 
1.5%
, 101
 
1.2%
' 95
 
1.1%
Other values (30) 565
 
6.6%
Han
ValueCountFrequency (%)
愛 32
50.0%
老 8
 
12.5%
美 3
 
4.7%
家 2
 
3.1%
樂 2
 
3.1%
氣 2
 
3.1%
遊 2
 
3.1%
芽 1
 
1.6%
草 1
 
1.6%
水 1
 
1.6%
Other values (10) 10
 
15.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85563
90.2%
ASCII 9106
 
9.6%
CJK 55
 
0.1%
Punctuation 37
 
< 0.1%
Number Forms 23
 
< 0.1%
None 21
 
< 0.1%
CJK Compat Ideographs 9
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Arrows 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4267
 
5.0%
사 4213
 
4.9%
업 2780
 
3.2%
시 2648
 
3.1%
원 2381
 
2.8%
이 1883
 
2.2%
도 1697
 
2.0%
공 1664
 
1.9%
설 1643
 
1.9%
노 1602
 
1.9%
Other values (725) 60785
71.0%
ASCII
ValueCountFrequency (%)
4267
46.9%
) 1300
 
14.3%
( 1300
 
14.3%
2 303
 
3.3%
- 201
 
2.2%
1 186
 
2.0%
0 135
 
1.5%
3 129
 
1.4%
, 101
 
1.1%
' 95
 
1.0%
Other values (69) 1089
 
12.0%
CJK
ValueCountFrequency (%)
愛 32
58.2%
美 3
 
5.5%
家 2
 
3.6%
樂 2
 
3.6%
氣 2
 
3.6%
遊 2
 
3.6%
芽 1
 
1.8%
草 1
 
1.8%
水 1
 
1.8%
讀 1
 
1.8%
Other values (8) 8
 
14.5%
None
ValueCountFrequency (%)
· 21
100.0%
Punctuation
ValueCountFrequency (%)
“ 12
32.4%
” 12
32.4%
‘ 7
18.9%
’ 6
16.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
43.5%
Ⅰ 9
39.1%
Ⅲ 4
 
17.4%
CJK Compat Ideographs
ValueCountFrequency (%)
老 8
88.9%
樂 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
25.0%
ㄴ 1
25.0%
ㅇ 1
25.0%
ㄷ 1
25.0%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

예산구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
101001
9794 
101002
 
150
101003
 
45
<NA>
 
7
101004
 
4

Length

Max length6
Median length6
Mean length5.9986
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101001
2nd row101001
3rd row101001
4th row101001
5th row101001

Common Values

ValueCountFrequency (%)
101001 9794
97.9%
101002 150
 
1.5%
101003 45
 
0.4%
<NA> 7
 
0.1%
101004 4
 
< 0.1%

Length

2023-12-12T21:13:03.018359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:03.137287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101001 9794
97.9%
101002 150
 
1.5%
101003 45
 
0.4%
na 7
 
0.1%
101004 4
 
< 0.1%

관할시군구
Text

Distinct211
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:13:03.412231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9242
Min length2

Characters and Unicode

Total characters29242
Distinct characters135
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row부여군
2nd row용인시
3rd row은평구
4th row영동군
5th row의정부시
ValueCountFrequency (%)
동구 325
 
3.2%
서구 289
 
2.9%
중구 245
 
2.4%
남구 245
 
2.4%
북구 213
 
2.1%
전주시 202
 
2.0%
창원시 145
 
1.4%
익산시 134
 
1.3%
고양시 132
 
1.3%
청주시 128
 
1.3%
Other values (201) 7945
79.4%
2023-12-12T21:13:03.851670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4370
 
14.9%
구 3759
 
12.9%
군 2200
 
7.5%
주 1029
 
3.5%
천 843
 
2.9%
동 760
 
2.6%
산 746
 
2.6%
양 732
 
2.5%
남 708
 
2.4%
성 694
 
2.4%
Other values (125) 13401
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29239
> 99.9%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4370
 
14.9%
구 3759
 
12.9%
군 2200
 
7.5%
주 1029
 
3.5%
천 843
 
2.9%
동 760
 
2.6%
산 746
 
2.6%
양 732
 
2.5%
남 708
 
2.4%
성 694
 
2.4%
Other values (124) 13398
45.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29239
> 99.9%
Common 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4370
 
14.9%
구 3759
 
12.9%
군 2200
 
7.5%
주 1029
 
3.5%
천 843
 
2.9%
동 760
 
2.6%
산 746
 
2.6%
양 732
 
2.5%
남 708
 
2.4%
성 694
 
2.4%
Other values (124) 13398
45.8%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29239
> 99.9%
ASCII 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4370
 
14.9%
구 3759
 
12.9%
군 2200
 
7.5%
주 1029
 
3.5%
천 843
 
2.9%
동 760
 
2.6%
산 746
 
2.6%
양 732
 
2.5%
남 708
 
2.4%
성 694
 
2.4%
Other values (124) 13398
45.8%
ASCII
ValueCountFrequency (%)
3
100.0%

기관ID
Real number (ℝ)

Distinct1256
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49489.552
Minimum2
Maximum883083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:13:03.994285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile85
Q1624
median1672
Q32710
95-th percentile359084.05
Maximum883083
Range883081
Interquartile range (IQR)2086

Descriptive statistics

Standard deviation136628.45
Coefficient of variation (CV)2.7607535
Kurtosis11.171768
Mean49489.552
Median Absolute Deviation (MAD)1044
Skewness3.3158264
Sum4.9489552 × 108
Variance1.8667334 × 1010
MonotonicityNot monotonic
2023-12-12T21:13:04.158609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1652 49
 
0.5%
163 47
 
0.5%
171 43
 
0.4%
1651 41
 
0.4%
1649 39
 
0.4%
2529 38
 
0.4%
1880 37
 
0.4%
1917 37
 
0.4%
1061 37
 
0.4%
1308 36
 
0.4%
Other values (1246) 9596
96.0%
ValueCountFrequency (%)
2 7
0.1%
3 3
< 0.1%
4 4
< 0.1%
5 3
< 0.1%
6 6
0.1%
7 5
0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
883083 2
 
< 0.1%
856083 1
 
< 0.1%
851083 1
 
< 0.1%
820083 3
 
< 0.1%
795084 19
0.2%
795083 1
 
< 0.1%
762083 1
 
< 0.1%
761085 7
 
0.1%
758083 20
0.2%
735083 11
0.1%

사업기간시작일
Date

Distinct75
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-10-16 00:00:00
2023-12-12T21:13:04.341707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:04.773899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업기간종료일
Date

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-31 00:00:00
Maximum2023-12-31 00:00:00
2023-12-12T21:13:05.014944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:13:05.196678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

추경여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2023-12-12T21:13:05.330093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8961 
True
1039 
ValueCountFrequency (%)
False 8961
89.6%
True 1039
 
10.4%
2023-12-12T21:13:05.415277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T21:12:59.804239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:59.563255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:59.923200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:59.691947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:13:05.501059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업유형사업계획변경순번예산구분기관ID사업기간시작일사업기간종료일삭제여부
사업유형1.0000.1260.0630.1290.5690.6770.056
사업계획변경순번0.1261.0000.0340.0710.0720.0000.426
예산구분0.0630.0341.0000.1000.3970.0000.016
기관ID0.1290.0710.1001.0000.4490.4960.117
사업기간시작일0.5690.0720.3970.4491.0000.8950.137
사업기간종료일0.6770.0000.0000.4960.8951.0000.084
삭제여부0.0560.4260.0160.1170.1370.0841.000
2023-12-12T21:13:05.681844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산구분삭제여부사업유형
예산구분1.0000.0110.059
삭제여부0.0111.0000.093
사업유형0.0590.0931.000
2023-12-12T21:13:05.783019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업계획변경순번기관ID사업유형예산구분삭제여부
사업계획변경순번1.0000.0520.0730.0210.327
기관ID0.0521.0000.0770.0600.090
사업유형0.0730.0771.0000.0590.093
예산구분0.0210.0600.0591.0000.011
삭제여부0.3270.0900.0930.0111.000

Missing values

2023-12-12T21:13:00.090378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:13:00.313001image/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

사업유형사업번호사업계획변경순번사업년도사업명예산구분관할시군구기관ID사업기간시작일사업기간종료일추경여부삭제여부
5027공익활동형2023-0555432023노노케어101001부여군10862023-01-10 00:00:002023-12-31 00:00:00NN
10453사회서비스형2023-0240322023우체국공공행정업무지원사업101001용인시20172023-01-01 00:00:002023-10-31 00:00:00NN
8707공익활동형2023-0055012023경로식당보조(무료급식도우미)101001은평구23712023-01-09 00:00:002023-11-30 00:00:00NN
11696공익활동형2023-0009012023문화재시설봉사101001영동군6942023-01-01 00:00:002023-12-31 00:00:00NN
7087공익활동형2023-0439022023경전철이용도우미101001의정부시802023-01-01 00:00:002023-11-30 00:00:00NN
5153공익활동형2023-0587132023복지시설도우미사업101001동래구372023-01-02 00:00:002023-12-31 00:00:00NN
10519공익활동형2023-0292922023스쿨존교통지원101001거제시6022023-01-09 00:00:002023-12-31 00:00:00NN
7576시장형2023-0607012023아삭맛드림101001시흥시1642023-01-01 00:00:002023-12-31 00:00:00NN
9605공익활동형2023-0096012023커피찌꺼기 새활용101001장수군22522023-01-09 00:00:002023-12-29 00:00:00NN
11110시장형2023-0086812023한담101001강서구2120832023-01-02 00:00:002023-12-31 00:00:00NY
사업유형사업번호사업계획변경순번사업년도사업명예산구분관할시군구기관ID사업기간시작일사업기간종료일추경여부삭제여부
4628공익활동형2023-0890412023노-노교육 강사파견사업단101001천안시19032023-01-02 00:00:002023-12-31 00:00:00NN
8815공익활동형2023-0134322023문화재관리지원사업101001문경시22212023-01-01 00:00:002023-11-30 00:00:00NN
3322사회서비스형2023-0696312023노인보호시설도우미101001무안군2490832023-01-02 00:00:002023-12-31 00:00:00NN
4837공익활동형2023-06692220239988행복지키미-1101001청주시9032023-01-13 00:00:002023-12-31 00:00:00NN
7404공익활동형2023-0584612023스쿨존안전지킴이사업단101001동래구27772023-01-16 00:00:002023-12-29 00:00:00NN
10996사회서비스형2023-0049612023장애인서비스지원사업단101001장수군22522023-02-01 00:00:002023-11-30 00:00:00NN
1575공익활동형2023-0809422023아름다운섬가꾸기사업101001목포시24652023-01-01 00:00:002023-11-30 00:00:00NN
6551공익활동형2023-0648142023커피찌꺼기 새활용(커피의 재탄생)101001사하구23772023-01-02 00:00:002023-11-30 00:00:00NN
6804시장형2023-0357612023전통사찰관리지원101001김천시19892023-01-01 00:00:002023-12-31 00:00:00NN
1764공익활동형2023-0873022023사랑 나눔, 도시락 배달101001서구7180842023-01-16 00:00:002023-12-31 00:00:00NY