Overview

Dataset statistics

Number of variables4
Number of observations385
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory33.3 B

Variable types

DateTime1
Text2
Numeric1

Dataset

Description한국전력공사의 기부 실적 자료 입니다. 아래 자료 관련 내용 참고하여 주시기 바랍니다. □ 건별 기부금액이 300만원 미만인 기부 실적의 경우, 1건으로 합산 공시하였습니다. □ 동일 날짜에 수령인과 기부사유가 동일한 2건 이상의 기부 실적은 합산하여 1건으로 공시하였습니다. 예시) 2020. 1. 1에 ○○기관에게 500만원, 300만원으로 2건 기부한 경우는 2020. 1. 1에 ○○기관에게 800만원 기부로 공시(1건 공시) □ 수령인이 여러명일 경우 또는 불특정 다수일 경우에는, 통칭하여 "취약계층" 등 일반 명칭을 사용하였습니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15105647/fileData.do

Reproduction

Analysis started2024-04-17 12:46:38.763976
Analysis finished2024-04-17 12:46:39.220867
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct130
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2021-01-07 00:00:00
Maximum2021-12-30 00:00:00
2024-04-17T21:46:39.273962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:46:39.372538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수령인
Text

Distinct308
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-17T21:46:39.622390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length22
Mean length8.4779221
Min length3

Characters and Unicode

Total characters3264
Distinct characters308
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

Unique243 ?
Unique (%)63.1%

Sample

1st row한국장학재단(이** 외 27명)
2nd row목포시
3rd row독립,국가유공자 60가구(경북북부보훈지청)
4th row경기사회복지공동모금회
5th row춘천남부노인복지관
ValueCountFrequency (%)
취약계층 15
 
2.5%
외 11
 
1.8%
등 8
 
1.3%
사회복지공동모금회 6
 
1.0%
대한적십자사 6
 
1.0%
지역아동센터 6
 
1.0%
독거노인 6
 
1.0%
5개소 5
 
0.8%
저소득 5
 
0.8%
국가유공자 4
 
0.7%
Other values (406) 530
88.0%
2024-04-17T21:46:39.990160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
 
6.9%
대 154
 
4.7%
학 132
 
4.0%
교 126
 
3.9%
지 95
 
2.9%
사 76
 
2.3%
회 73
 
2.2%
복 59
 
1.8%
시 54
 
1.7%
주 49
 
1.5%
Other values (298) 2221
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2840
87.0%
Space Separator 225
 
6.9%
Decimal Number 103
 
3.2%
Other Punctuation 44
 
1.3%
Close Punctuation 26
 
0.8%
Open Punctuation 25
 
0.8%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 154
 
5.4%
학 132
 
4.6%
교 126
 
4.4%
지 95
 
3.3%
사 76
 
2.7%
회 73
 
2.6%
복 59
 
2.1%
시 54
 
1.9%
주 49
 
1.7%
구 46
 
1.6%
Other values (281) 1976
69.6%
Decimal Number
ValueCountFrequency (%)
1 26
25.2%
5 18
17.5%
0 13
12.6%
2 12
11.7%
6 9
 
8.7%
4 9
 
8.7%
9 7
 
6.8%
3 5
 
4.9%
7 3
 
2.9%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 29
65.9%
* 14
31.8%
% 1
 
2.3%
Space Separator
ValueCountFrequency (%)
225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2841
87.0%
Common 423
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 154
 
5.4%
학 132
 
4.6%
교 126
 
4.4%
지 95
 
3.3%
사 76
 
2.7%
회 73
 
2.6%
복 59
 
2.1%
시 54
 
1.9%
주 49
 
1.7%
구 46
 
1.6%
Other values (282) 1977
69.6%
Common
ValueCountFrequency (%)
225
53.2%
, 29
 
6.9%
) 26
 
6.1%
1 26
 
6.1%
( 25
 
5.9%
5 18
 
4.3%
* 14
 
3.3%
0 13
 
3.1%
2 12
 
2.8%
6 9
 
2.1%
Other values (6) 26
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2840
87.0%
ASCII 423
 
13.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
53.2%
, 29
 
6.9%
) 26
 
6.1%
1 26
 
6.1%
( 25
 
5.9%
5 18
 
4.3%
* 14
 
3.3%
0 13
 
3.1%
2 12
 
2.8%
6 9
 
2.1%
Other values (6) 26
 
6.1%
Hangul
ValueCountFrequency (%)
대 154
 
5.4%
학 132
 
4.6%
교 126
 
4.4%
지 95
 
3.3%
사 76
 
2.7%
회 73
 
2.6%
복 59
 
2.1%
시 54
 
1.9%
주 49
 
1.7%
구 46
 
1.6%
Other values (281) 1976
69.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

기부금액(원)
Real number (ℝ)

Distinct174
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32318046
Minimum3000000
Maximum4.7363696 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T21:46:40.101197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q14000000
median5184300
Q310000000
95-th percentile50000000
Maximum4.7363696 × 109
Range4.7333696 × 109
Interquartile range (IQR)6000000

Descriptive statistics

Standard deviation2.7257659 × 108
Coefficient of variation (CV)8.4341917
Kurtosis247.19552
Mean32318046
Median Absolute Deviation (MAD)2159700
Skewness15.236635
Sum1.2442448 × 1010
Variance7.4298 × 1016
MonotonicityNot monotonic
2024-04-17T21:46:40.204789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4000000 55
 
14.3%
3000000 51
 
13.2%
5000000 28
 
7.3%
10000000 11
 
2.9%
8000000 10
 
2.6%
12000000 7
 
1.8%
6000000 7
 
1.8%
20000000 6
 
1.6%
15000000 5
 
1.3%
7000000 5
 
1.3%
Other values (164) 200
51.9%
ValueCountFrequency (%)
3000000 51
13.2%
3012800 1
 
0.3%
3024000 1
 
0.3%
3074000 2
 
0.5%
3080000 2
 
0.5%
3183400 1
 
0.3%
3196600 1
 
0.3%
3200000 1
 
0.3%
3300000 2
 
0.5%
3312000 1
 
0.3%
ValueCountFrequency (%)
4736369560 1
 
0.3%
2418491122 1
 
0.3%
600000000 1
 
0.3%
220000000 1
 
0.3%
200000000 2
0.5%
150000000 1
 
0.3%
145000000 1
 
0.3%
100000000 4
1.0%
90454000 1
 
0.3%
90000000 1
 
0.3%

기부사유
Text

Distinct159
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-17T21:46:40.442291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length15.244156
Min length6

Characters and Unicode

Total characters5869
Distinct characters303
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)34.3%

Sample

1st row'21년도 푸른등대 장학금
2nd row취약지역 도시안전서비스 제공
3rd row독립, 국가유공자 설명절 지원
4th row송전선로 인근지역?지원?
5th row설명절맞이 취약가구·독거어르신 후원
ValueCountFrequency (%)
21년도 110
 
8.6%
전기공학장학금 109
 
8.5%
지원 58
 
4.5%
전통시장 57
 
4.4%
노후 56
 
4.4%
1학기 56
 
4.4%
전기설비 55
 
4.3%
교체 55
 
4.3%
2학기 53
 
4.1%
봉사활동 40
 
3.1%
Other values (323) 635
49.5%
2024-04-17T21:46:40.800034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
904
 
15.4%
학 345
 
5.9%
기 304
 
5.2%
전 256
 
4.4%
장 200
 
3.4%
1 181
 
3.1%
2 174
 
3.0%
사 138
 
2.4%
공 135
 
2.3%
금 128
 
2.2%
Other values (293) 3104
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4412
75.2%
Space Separator 904
 
15.4%
Decimal Number 372
 
6.3%
Other Punctuation 133
 
2.3%
Uppercase Letter 20
 
0.3%
Open Punctuation 14
 
0.2%
Close Punctuation 14
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 345
 
7.8%
기 304
 
6.9%
전 256
 
5.8%
장 200
 
4.5%
사 138
 
3.1%
공 135
 
3.1%
금 128
 
2.9%
년 121
 
2.7%
지 119
 
2.7%
도 115
 
2.6%
Other values (263) 2551
57.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
30.0%
C 3
15.0%
E 2
 
10.0%
G 2
 
10.0%
N 2
 
10.0%
I 1
 
5.0%
A 1
 
5.0%
K 1
 
5.0%
T 1
 
5.0%
R 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 181
48.7%
2 174
46.8%
9 6
 
1.6%
0 5
 
1.3%
4 3
 
0.8%
3 2
 
0.5%
5 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
' 118
88.7%
? 6
 
4.5%
, 4
 
3.0%
/ 3
 
2.3%
· 1
 
0.8%
& 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 8
57.1%
「 5
35.7%
『 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 8
57.1%
」 5
35.7%
』 1
 
7.1%
Space Separator
ValueCountFrequency (%)
904
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4412
75.2%
Common 1437
 
24.5%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 345
 
7.8%
기 304
 
6.9%
전 256
 
5.8%
장 200
 
4.5%
사 138
 
3.1%
공 135
 
3.1%
금 128
 
2.9%
년 121
 
2.7%
지 119
 
2.7%
도 115
 
2.6%
Other values (263) 2551
57.8%
Common
ValueCountFrequency (%)
904
62.9%
1 181
 
12.6%
2 174
 
12.1%
' 118
 
8.2%
( 8
 
0.6%
) 8
 
0.6%
9 6
 
0.4%
? 6
 
0.4%
0 5
 
0.3%
「 5
 
0.3%
Other values (10) 22
 
1.5%
Latin
ValueCountFrequency (%)
S 6
30.0%
C 3
15.0%
E 2
 
10.0%
G 2
 
10.0%
N 2
 
10.0%
I 1
 
5.0%
A 1
 
5.0%
K 1
 
5.0%
T 1
 
5.0%
R 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4412
75.2%
ASCII 1444
 
24.6%
None 13
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
904
62.6%
1 181
 
12.5%
2 174
 
12.0%
' 118
 
8.2%
( 8
 
0.6%
) 8
 
0.6%
9 6
 
0.4%
S 6
 
0.4%
? 6
 
0.4%
0 5
 
0.3%
Other values (15) 28
 
1.9%
Hangul
ValueCountFrequency (%)
학 345
 
7.8%
기 304
 
6.9%
전 256
 
5.8%
장 200
 
4.5%
사 138
 
3.1%
공 135
 
3.1%
금 128
 
2.9%
년 121
 
2.7%
지 119
 
2.7%
도 115
 
2.6%
Other values (263) 2551
57.8%
None
ValueCountFrequency (%)
「 5
38.5%
」 5
38.5%
· 1
 
7.7%
『 1
 
7.7%
』 1
 
7.7%

Interactions

2024-04-17T21:46:39.028679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-17T21:46:39.114871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T21:46:39.185619image/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

날짜수령인기부금액(원)기부사유
02021-01-07한국장학재단(이** 외 27명)100000000'21년도 푸른등대 장학금
12021-01-13목포시12753938취약지역 도시안전서비스 제공
22021-01-14독립,국가유공자 60가구(경북북부보훈지청)3000000독립, 국가유공자 설명절 지원
32021-01-21경기사회복지공동모금회5000000송전선로 인근지역?지원?
42021-01-25춘천남부노인복지관3000000설명절맞이 취약가구·독거어르신 후원
52021-01-25대전 저소득 소외계층 45가구4577370설명절봉사활동
62021-01-26서울역 따스한 채움터 등 4개소5000000설명절봉사활동
72021-01-27서울장애인부모연대강서지회3000000설명절 맞이 사회공헌활동
82021-01-27마곡수양원3000000설명절 맞이 사회공헌활동
92021-01-28의정부시 종합사회복지관3000000설명절봉사활동
날짜수령인기부금액(원)기부사유
3752021-12-28광주사회복지공동모금회220000000연말연시 나눔캠페인 후원
3762021-12-28초록우산어린이재단3300000조손가정 및 저소득층 난방비 지원
3772021-12-28척수장애인협회, 한마음학원, 행복의 집 무료급식소, 쉴가인 사회적 협동조합3919810연말연시 봉사활동
3782021-12-29재단법인 광주한마음장학재단20000000생계곤란 청소년 장학금 지급
3792021-12-29(사)함께일하는재단50000000사회적경제 사업비
3802021-12-29(재)한국사회투자100000000사회적경제 사업비
3812021-12-29(사)함께만드는세상200000000사회적경제 사업비
3822021-12-29(사)함께일하는재단145000000사회적경제 사업비
3832021-12-30삼산복지관3080000연말 나눔 봉사활동
3842021-12-30신안군사회보장협의체16762455신안군 사회공헌 후원