Overview

Dataset statistics

Number of variables4
Number of observations147
Missing cells8
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory32.9 B

Variable types

Text3
DateTime1

Dataset

Description한전KDN 기부금 집행현황에 대한 정보입니다. 2022년에 기부금을 집행한 기부날짜, 수령인, 기부금액 및 기부내용에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15062102/fileData.do

Alerts

기부품목 has 8 (5.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:56:07.768039
Analysis finished2023-12-12 06:56:08.839667
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기부처
Text

Distinct88
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T15:56:09.074657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length11.387755
Min length3

Characters and Unicode

Total characters1674
Distinct characters165
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)46.9%

Sample

1st row사회복지법인 굿네이버스
2nd row사회복지법인 사회복지공동모금회
3rd row남동장애인복지관
4th row편한집
5th row(사)한국장애인재활협회 전남장애인재활협회
ValueCountFrequency (%)
사회복지법인 50
20.7%
사회복지공동모금회 27
 
11.2%
어린이재단 14
 
5.8%
굿네이버스 12
 
5.0%
경기도지회 6
 
2.5%
대전종합사회복지관 4
 
1.7%
사회적협동조합 4
 
1.7%
살림 4
 
1.7%
나주지역아동센터연합회 3
 
1.2%
공생재활원 3
 
1.2%
Other values (93) 114
47.3%
2023-12-12T15:56:09.473165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 154
 
9.2%
지 123
 
7.3%
사 104
 
6.2%
복 97
 
5.8%
95
 
5.7%
인 80
 
4.8%
법 56
 
3.3%
동 38
 
2.3%
재 36
 
2.2%
공 32
 
1.9%
Other values (155) 859
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1555
92.9%
Space Separator 95
 
5.7%
Open Punctuation 12
 
0.7%
Close Punctuation 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 154
 
9.9%
지 123
 
7.9%
사 104
 
6.7%
복 97
 
6.2%
인 80
 
5.1%
법 56
 
3.6%
동 38
 
2.4%
재 36
 
2.3%
공 32
 
2.1%
모 29
 
1.9%
Other values (152) 806
51.8%
Space Separator
ValueCountFrequency (%)
95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1555
92.9%
Common 119
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 154
 
9.9%
지 123
 
7.9%
사 104
 
6.7%
복 97
 
6.2%
인 80
 
5.1%
법 56
 
3.6%
동 38
 
2.4%
재 36
 
2.3%
공 32
 
2.1%
모 29
 
1.9%
Other values (152) 806
51.8%
Common
ValueCountFrequency (%)
95
79.8%
( 12
 
10.1%
) 12
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1555
92.9%
ASCII 119
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 154
 
9.9%
지 123
 
7.9%
사 104
 
6.7%
복 97
 
6.2%
인 80
 
5.1%
법 56
 
3.6%
동 38
 
2.4%
재 36
 
2.3%
공 32
 
2.1%
모 29
 
1.9%
Other values (152) 806
51.8%
ASCII
ValueCountFrequency (%)
95
79.8%
( 12
 
10.1%
) 12
 
10.1%

기부금액(원)
Text

Distinct54
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T15:56:09.649018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length7
Mean length7.8231293
Min length6

Characters and Unicode

Total characters1150
Distinct characters51
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)23.8%

Sample

1st row100000
2nd row1000000
3rd row1000000
4th row1503300
5th row3000000
ValueCountFrequency (%)
1000000 16
 
9.3%
3000000 15
 
8.7%
2000000 14
 
8.1%
300000 12
 
7.0%
100000 11
 
6.4%
5000000 5
 
2.9%
1538320 5
 
2.9%
연말맞이 5
 
2.9%
1250000 4
 
2.3%
1500000 4
 
2.3%
Other values (54) 81
47.1%
2023-12-12T15:56:09.907750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 701
61.0%
1 60
 
5.2%
3 58
 
5.0%
2 47
 
4.1%
5 41
 
3.6%
25
 
2.2%
4 17
 
1.5%
8 16
 
1.4%
6 12
 
1.0%
9 10
 
0.9%
Other values (41) 163
 
14.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 972
84.5%
Other Letter 144
 
12.5%
Space Separator 25
 
2.2%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 9
 
6.2%
사 9
 
6.2%
기 8
 
5.6%
온 7
 
4.9%
연 7
 
4.9%
말 7
 
4.9%
부 6
 
4.2%
상 6
 
4.2%
누 5
 
3.5%
헌 5
 
3.5%
Other values (27) 75
52.1%
Decimal Number
ValueCountFrequency (%)
0 701
72.1%
1 60
 
6.2%
3 58
 
6.0%
2 47
 
4.8%
5 41
 
4.2%
4 17
 
1.7%
8 16
 
1.6%
6 12
 
1.2%
9 10
 
1.0%
7 10
 
1.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1006
87.5%
Hangul 144
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 9
 
6.2%
사 9
 
6.2%
기 8
 
5.6%
온 7
 
4.9%
연 7
 
4.9%
말 7
 
4.9%
부 6
 
4.2%
상 6
 
4.2%
누 5
 
3.5%
헌 5
 
3.5%
Other values (27) 75
52.1%
Common
ValueCountFrequency (%)
0 701
69.7%
1 60
 
6.0%
3 58
 
5.8%
2 47
 
4.7%
5 41
 
4.1%
25
 
2.5%
4 17
 
1.7%
8 16
 
1.6%
6 12
 
1.2%
9 10
 
1.0%
Other values (4) 19
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1006
87.5%
Hangul 144
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 701
69.7%
1 60
 
6.0%
3 58
 
5.8%
2 47
 
4.7%
5 41
 
4.1%
25
 
2.5%
4 17
 
1.7%
8 16
 
1.6%
6 12
 
1.2%
9 10
 
1.0%
Other values (4) 19
 
1.9%
Hangul
ValueCountFrequency (%)
품 9
 
6.2%
사 9
 
6.2%
기 8
 
5.6%
온 7
 
4.9%
연 7
 
4.9%
말 7
 
4.9%
부 6
 
4.2%
상 6
 
4.2%
누 5
 
3.5%
헌 5
 
3.5%
Other values (27) 75
52.1%

기부품목
Text

MISSING 

Distinct95
Distinct (%)68.3%
Missing8
Missing (%)5.4%
Memory size1.3 KiB
2023-12-12T15:56:10.062933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length27
Mean length18.496403
Min length10

Characters and Unicode

Total characters2571
Distinct characters264
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

Unique78 ?
Unique (%)56.1%

Sample

1st row굿네이버스 기부금 후원
2nd row한마음봉사대 코로나19 설맞이 사랑나눔
3rd row설맞이 온기나눔 기부활동
4th row한마음 봉사대 기부 온누리 상품권 기부
5th row설맞이 사랑나눔 온누리상품권 기부
ValueCountFrequency (%)
기부 72
 
12.8%
온누리상품권 32
 
5.7%
후원 30
 
5.3%
지원 24
 
4.3%
취약계층 16
 
2.8%
사랑나눔 15
 
2.7%
연말맞이 13
 
2.3%
추석맞이 12
 
2.1%
관내 12
 
2.1%
건강증진키트(방역물품 10
 
1.8%
Other values (199) 327
58.1%
2023-12-12T15:56:10.337553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
427
 
16.6%
기 99
 
3.9%
부 86
 
3.3%
원 80
 
3.1%
지 74
 
2.9%
품 62
 
2.4%
사 61
 
2.4%
이 51
 
2.0%
온 40
 
1.6%
상 39
 
1.5%
Other values (254) 1552
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1982
77.1%
Space Separator 427
 
16.6%
Uppercase Letter 47
 
1.8%
Decimal Number 39
 
1.5%
Close Punctuation 23
 
0.9%
Open Punctuation 23
 
0.9%
Other Punctuation 18
 
0.7%
Lowercase Letter 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 99
 
5.0%
부 86
 
4.3%
원 80
 
4.0%
지 74
 
3.7%
품 62
 
3.1%
사 61
 
3.1%
이 51
 
2.6%
온 40
 
2.0%
상 39
 
2.0%
권 39
 
2.0%
Other values (223) 1351
68.2%
Uppercase Letter
ValueCountFrequency (%)
N 9
19.1%
D 9
19.1%
K 8
17.0%
I 7
14.9%
T 7
14.9%
W 1
 
2.1%
C 1
 
2.1%
M 1
 
2.1%
O 1
 
2.1%
E 1
 
2.1%
Other values (2) 2
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
r 3
25.0%
s 2
16.7%
a 1
 
8.3%
m 1
 
8.3%
t 1
 
8.3%
i 1
 
8.3%
h 1
 
8.3%
y 1
 
8.3%
e 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 28
71.8%
0 8
 
20.5%
4 1
 
2.6%
9 1
 
2.6%
1 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 14
77.8%
" 4
 
22.2%
Space Separator
ValueCountFrequency (%)
427
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1982
77.1%
Common 530
 
20.6%
Latin 59
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 99
 
5.0%
부 86
 
4.3%
원 80
 
4.0%
지 74
 
3.7%
품 62
 
3.1%
사 61
 
3.1%
이 51
 
2.6%
온 40
 
2.0%
상 39
 
2.0%
권 39
 
2.0%
Other values (223) 1351
68.2%
Latin
ValueCountFrequency (%)
N 9
15.3%
D 9
15.3%
K 8
13.6%
I 7
11.9%
T 7
11.9%
r 3
 
5.1%
s 2
 
3.4%
W 1
 
1.7%
a 1
 
1.7%
m 1
 
1.7%
Other values (11) 11
18.6%
Common
ValueCountFrequency (%)
427
80.6%
2 28
 
5.3%
) 23
 
4.3%
( 23
 
4.3%
, 14
 
2.6%
0 8
 
1.5%
" 4
 
0.8%
4 1
 
0.2%
9 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1982
77.1%
ASCII 589
 
22.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
427
72.5%
2 28
 
4.8%
) 23
 
3.9%
( 23
 
3.9%
, 14
 
2.4%
N 9
 
1.5%
D 9
 
1.5%
K 8
 
1.4%
0 8
 
1.4%
I 7
 
1.2%
Other values (21) 33
 
5.6%
Hangul
ValueCountFrequency (%)
기 99
 
5.0%
부 86
 
4.3%
원 80
 
4.0%
지 74
 
3.7%
품 62
 
3.1%
사 61
 
3.1%
이 51
 
2.6%
온 40
 
2.0%
상 39
 
2.0%
권 39
 
2.0%
Other values (223) 1351
68.2%

기부일자
Date

Distinct84
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-12-24 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T15:56:10.476139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:56:10.667314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T15:56:10.788281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기부처기부금액(원)기부품목기부일자
기부처1.0000.8470.9660.000
기부금액(원)0.8471.0000.9980.928
기부품목0.9660.9981.0000.991
기부일자0.0000.9280.9911.000

Missing values

2023-12-12T15:56:08.705009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:56:08.807873image/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

기부처기부금액(원)기부품목기부일자
0사회복지법인 굿네이버스100000굿네이버스 기부금 후원2022-01-10
1사회복지법인 사회복지공동모금회1000000한마음봉사대 코로나19 설맞이 사랑나눔2022-01-21
2남동장애인복지관1000000설맞이 온기나눔 기부활동2022-01-26
3편한집1503300한마음 봉사대 기부 온누리 상품권 기부2022-01-26
4(사)한국장애인재활협회 전남장애인재활협회3000000설맞이 사랑나눔 온누리상품권 기부2022-01-26
5사회복지법인 어린이재단2000000노사합동 설맞이 기부행사 온누리상품권 기부2022-01-27
6사회복지법인 성모자애원 대구요셉의집1000000설맞이 봉사활동용 온누리 상품권 기부2022-01-27
7아동복지시설 대구신망애원1000000설맞이 봉사활동용 온누리 상품권 기부2022-01-27
8나주지역아동센터연합회3000000설맞이 사랑나눔 온누리상품권 기부2022-01-27
9평강의집3000000설맞이 사랑나눔 온누리상품권 기부2022-01-27
기부처기부금액(원)기부품목기부일자
137공생원1000000취약계층 복지시설 온누리상품권 기부2022-12-30
138공생재활원1500000취약계층 복지시설 온누리상품권 기부2022-12-30
139공생재활원연말맞이 본사사회공헌활동 온누리상품권 구입<NA>2021-12-24
140만수종합사회복지관연말 온기나눔 한마음봉사대 기부금(온누리상품권) 후원<NA>2021-12-27
141한국지체장애인협회전남협회연말맞이 사회공헌 방역물품 기부<NA>2021-12-27
142공생재활원연말맞이 사회공헌 방역물품 기부<NA>2021-12-27
143사회복지법인 어린이재단온누리상품권 구입(포상품, 기부금)(정산)<NA>2021-12-27
144서구노인종합복지관연말맞이 본사사회공헌활동 온누리상품권 구입<NA>2021-12-29
145인천부평사랑회 지역아동센터연말 온기나눔 한마음봉사대 기부금(온누리상품권) 후원<NA>2021-12-29
146서구노인종합복지관연말맞이 사회공헌 방역물품 기부<NA>2021-12-29