Overview

Dataset statistics

Number of variables5
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory42.2 B

Variable types

DateTime1
Text2
Categorical1
Numeric1

Dataset

Description기술보증기금이 연간 개인 또는 단체를 대상으로 지원 및 기부한 데이터 제공- 날짜, 수령인, 관계, 기부금액( 단위 : 원), 기부사유
Author기술보증기금
URLhttps://www.data.go.kr/data/15104876/fileData.do

Alerts

기부금액 is highly overall correlated with 관계High correlation
관계 is highly overall correlated with 기부금액High correlation

Reproduction

Analysis started2024-03-14 16:17:31.056743
Analysis finished2024-03-14 16:17:32.389243
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct52
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
Minimum2023-01-16 00:00:00
Maximum2023-12-29 00:00:00
2024-03-15T01:17:32.588601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:17:32.921237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct81
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size952.0 B
2024-03-15T01:17:33.988568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.7864078
Min length3

Characters and Unicode

Total characters802
Distinct characters190
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)65.0%

Sample

1st row한국사회복지협의회
2nd row자혜아동복지센터
3rd row영명보육원
4th row울산 월봉시장
5th row감만종합사회복지관
ValueCountFrequency (%)
감만종합사회복지관 5
 
4.0%
4
 
3.2%
4
 
3.2%
3
 
2.4%
대한적십자사 3
 
2.4%
세이브더칠드런 2
 
1.6%
울산 2
 
1.6%
공동생활가정 2
 
1.6%
한국지식재산교육연구학회 2
 
1.6%
대구북구새마을회 2
 
1.6%
Other values (90) 96
76.8%
2024-03-15T01:17:35.419935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
4.6%
32
 
4.0%
* 26
 
3.2%
24
 
3.0%
23
 
2.9%
22
 
2.7%
22
 
2.7%
17
 
2.1%
17
 
2.1%
17
 
2.1%
Other values (180) 565
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
93.3%
Other Punctuation 28
 
3.5%
Space Separator 22
 
2.7%
Decimal Number 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
4.9%
32
 
4.3%
24
 
3.2%
23
 
3.1%
22
 
2.9%
17
 
2.3%
17
 
2.3%
17
 
2.3%
16
 
2.1%
16
 
2.1%
Other values (173) 527
70.5%
Other Punctuation
ValueCountFrequency (%)
* 26
92.9%
, 2
 
7.1%
Space Separator
ValueCountFrequency (%)
22
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
93.4%
Common 53
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
4.9%
32
 
4.3%
24
 
3.2%
23
 
3.1%
22
 
2.9%
17
 
2.3%
17
 
2.3%
17
 
2.3%
16
 
2.1%
16
 
2.1%
Other values (174) 528
70.5%
Common
ValueCountFrequency (%)
* 26
49.1%
22
41.5%
, 2
 
3.8%
3 1
 
1.9%
) 1
 
1.9%
( 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
93.3%
ASCII 53
 
6.6%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
 
4.9%
32
 
4.3%
24
 
3.2%
23
 
3.1%
22
 
2.9%
17
 
2.3%
17
 
2.3%
17
 
2.3%
16
 
2.1%
16
 
2.1%
Other values (173) 527
70.5%
ASCII
ValueCountFrequency (%)
* 26
49.1%
22
41.5%
, 2
 
3.8%
3 1
 
1.9%
) 1
 
1.9%
( 1
 
1.9%
None
ValueCountFrequency (%)
1
100.0%

관계
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size952.0 B
<NA>
90 
자매결연 농촌 거주자
13 

Length

Max length11
Median length4
Mean length4.8834951
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 90
87.4%
자매결연 농촌 거주자 13
 
12.6%

Length

2024-03-15T01:17:35.859837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:17:36.108731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
69.8%
자매결연 13
 
10.1%
농촌 13
 
10.1%
거주자 13
 
10.1%

기부금액
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2992299.2
Minimum22484
Maximum1.3 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-15T01:17:36.287905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22484
5-th percentile200000
Q1500000
median1500000
Q32399500
95-th percentile3000000
Maximum1.3 × 108
Range1.2997752 × 108
Interquartile range (IQR)1899500

Descriptive statistics

Standard deviation12866801
Coefficient of variation (CV)4.2999714
Kurtosis95.660972
Mean2992299.2
Median Absolute Deviation (MAD)1000000
Skewness9.6390052
Sum3.0820681 × 108
Variance1.6555457 × 1014
MonotonicityNot monotonic
2024-03-15T01:17:36.613434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3000000 19
18.4%
500000 16
15.5%
2000000 15
14.6%
200000 15
14.6%
1500000 11
10.7%
250000 6
 
5.8%
1000000 3
 
2.9%
1600000 2
 
1.9%
130000000 1
 
1.0%
20000000 1
 
1.0%
Other values (14) 14
13.6%
ValueCountFrequency (%)
22484 1
 
1.0%
200000 15
14.6%
250000 6
 
5.8%
346700 1
 
1.0%
440000 1
 
1.0%
500000 16
15.5%
600000 1
 
1.0%
760630 1
 
1.0%
800000 1
 
1.0%
1000000 3
 
2.9%
ValueCountFrequency (%)
130000000 1
 
1.0%
20000000 1
 
1.0%
12100000 1
 
1.0%
7810000 1
 
1.0%
3000000 19
18.4%
2701000 1
 
1.0%
2700000 1
 
1.0%
2500000 1
 
1.0%
2299000 1
 
1.0%
2000000 15
14.6%
Distinct66
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size952.0 B
2024-03-15T01:17:37.825471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length18.728155
Min length12

Characters and Unicode

Total characters1929
Distinct characters218
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

Unique62 ?
Unique (%)60.2%

Sample

1st row사회공헌 나눔문화 활성화를 위한 후원
2nd row관내 소외계층을 위한 사회공헌
3rd row관내 소외계층을 위한 사회공헌
4th row관내 지역 전통시장 장보기 행사 실시
5th row설 맞이 사회복지시설 후원
ValueCountFrequency (%)
후원 43
 
9.6%
위한 42
 
9.4%
관내 37
 
8.2%
사회공헌 35
 
7.8%
소외계층을 34
 
7.6%
독거노인 13
 
2.9%
지역 6
 
1.3%
행사 6
 
1.3%
실시 6
 
1.3%
전통시장 5
 
1.1%
Other values (162) 222
49.4%
2024-03-15T01:17:39.373386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
18.1%
75
 
3.9%
67
 
3.5%
52
 
2.7%
51
 
2.6%
48
 
2.5%
45
 
2.3%
43
 
2.2%
42
 
2.2%
41
 
2.1%
Other values (208) 1115
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1435
74.4%
Space Separator 350
 
18.1%
Decimal Number 94
 
4.9%
Other Punctuation 24
 
1.2%
Uppercase Letter 12
 
0.6%
Lowercase Letter 6
 
0.3%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
75
 
5.2%
67
 
4.7%
52
 
3.6%
51
 
3.6%
48
 
3.3%
45
 
3.1%
43
 
3.0%
42
 
2.9%
41
 
2.9%
40
 
2.8%
Other values (185) 931
64.9%
Uppercase Letter
ValueCountFrequency (%)
D 3
25.0%
E 2
16.7%
F 1
 
8.3%
B 1
 
8.3%
G 1
 
8.3%
S 1
 
8.3%
M 1
 
8.3%
A 1
 
8.3%
C 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 29
30.9%
4 20
21.3%
1 20
21.3%
3 16
17.0%
0 8
 
8.5%
5 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
/ 13
54.2%
' 11
45.8%
Lowercase Letter
ValueCountFrequency (%)
y 3
50.0%
a 3
50.0%
Space Separator
ValueCountFrequency (%)
350
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 1435
74.4%
Common 476
 
24.7%
Latin 18
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
75
 
5.2%
67
 
4.7%
52
 
3.6%
51
 
3.6%
48
 
3.3%
45
 
3.1%
43
 
3.0%
42
 
2.9%
41
 
2.9%
40
 
2.8%
Other values (185) 931
64.9%
Common
ValueCountFrequency (%)
350
73.5%
2 29
 
6.1%
4 20
 
4.2%
1 20
 
4.2%
3 16
 
3.4%
/ 13
 
2.7%
' 11
 
2.3%
0 8
 
1.7%
( 3
 
0.6%
) 3
 
0.6%
Other values (2) 3
 
0.6%
Latin
ValueCountFrequency (%)
y 3
16.7%
a 3
16.7%
D 3
16.7%
E 2
11.1%
F 1
 
5.6%
B 1
 
5.6%
G 1
 
5.6%
S 1
 
5.6%
M 1
 
5.6%
A 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1435
74.4%
ASCII 494
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
70.9%
2 29
 
5.9%
4 20
 
4.0%
1 20
 
4.0%
3 16
 
3.2%
/ 13
 
2.6%
' 11
 
2.2%
0 8
 
1.6%
( 3
 
0.6%
) 3
 
0.6%
Other values (13) 21
 
4.3%
Hangul
ValueCountFrequency (%)
75
 
5.2%
67
 
4.7%
52
 
3.6%
51
 
3.6%
48
 
3.3%
45
 
3.1%
43
 
3.0%
42
 
2.9%
41
 
2.9%
40
 
2.8%
Other values (185) 931
64.9%

Interactions

2024-03-15T01:17:31.600851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:17:39.550174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜수령인기부금액기부 사유
날짜1.0000.0000.9130.990
수령인0.0001.0001.0000.000
기부금액0.9131.0001.0001.000
기부 사유0.9900.0001.0001.000
2024-03-15T01:17:39.721115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기부금액관계
기부금액1.0001.000
관계1.0001.000

Missing values

2024-03-15T01:17:31.941757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:17:32.263311image/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

날짜수령인관계기부금액기부 사유
02023-01-16한국사회복지협의회<NA>3000000사회공헌 나눔문화 활성화를 위한 후원
12023-01-17자혜아동복지센터<NA>500000관내 소외계층을 위한 사회공헌
22023-01-18영명보육원<NA>500000관내 소외계층을 위한 사회공헌
32023-01-19울산 월봉시장<NA>500000관내 지역 전통시장 장보기 행사 실시
42023-01-27감만종합사회복지관<NA>1100000설 맞이 사회복지시설 후원
52023-02-09기술경영경제학회<NA>2000000기술경영경제학회 동계학술대회 후원
62023-02-24대한적십자사<NA>7810000튀르키예-시리아 지진 피해 복구 성금 기부
72023-03-02대중소기업농어업협력재단<NA>2500000대중소기업 상생협력기금 출연
82023-03-06박**자매결연 농촌 거주자2000001/4분기 1사1촌 독거노인 후원
92023-03-06전**자매결연 농촌 거주자2000001/4분기 1사2촌 독거노인 후원
날짜수령인관계기부금액기부 사유
932023-12-27예꿈아홈 공동생활원<NA>250000관내 소외계층을 위한 사회공헌
942023-12-27오륙도 행복꿈터<NA>250000관내 소외계층을 위한 사회공헌
952023-12-27동구재가노인복지서비스센터<NA>1500000관내 소외계층을 위한 사회공헌
962023-12-27행복한집 장애인거주시설<NA>1500000관내 소외계층을 위한 사회공헌
972023-12-27강원재활원<NA>1500000관내 소외계층을 위한 사회공헌
982023-12-27우리요양원<NA>1000000관내 소외계층을 위한 사회공헌
992023-12-27사랑채 데이케어센터<NA>500000관내 소외계층을 위한 사회공헌
1002023-12-27암미 지역아동센터<NA>1500000관내 소외계층을 위한 사회공헌
1012023-12-27동두천 이담풍물단<NA>1500000관내 소외계층을 위한 사회공헌
1022023-12-29부산과학기술협의회<NA>200000002024년 과학기술체험관 운영 체결