Overview

Dataset statistics

Number of variables6
Number of observations1191
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.1 KiB
Average record size in memory49.1 B

Variable types

DateTime1
Text2
Numeric1
Categorical2

Dataset

Description한국서부발전의 연도별 사회공헌 기부금 운영 내역 정보 제공(일자, 기부처, 금액 목적물, 기부사유 등) 입니다. - 데이터 예) 2018-01-02,고앤두,1.5,백만원,현금,2018년도 새해맞이 떡국나눔 봉사활동 후원
URLhttps://www.data.go.kr/data/15040039/fileData.do

Alerts

금액단위 has constant value ""Constant

Reproduction

Analysis started2023-12-12 20:22:20.428014
Analysis finished2023-12-12 20:22:21.139947
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct710
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2018-01-02 00:00:00
Maximum2023-06-30 00:00:00
2023-12-13T05:22:21.208476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:22:21.337873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기부처
Text

Distinct340
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-13T05:22:21.558758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length25
Mean length12.767422
Min length3

Characters and Unicode

Total characters15206
Distinct characters327
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)17.2%

Sample

1st row고앤두
2nd row(사)전국재해구호협회
3rd row희망터전
4th row금강노인복지관
5th row대한적십자사 충남지사
ValueCountFrequency (%)
사회복지법인 287
 
14.5%
사회복지공동모금회 225
 
11.4%
태안군사회복지협의회 74
 
3.7%
경기도지회 64
 
3.2%
사단법인 56
 
2.8%
충남사회복지공동모금회 47
 
2.4%
해피홈방정환지역아동센터 41
 
2.1%
충청남도지회 39
 
2.0%
전라북도지회 37
 
1.9%
태안군지회 36
 
1.8%
Other values (397) 1069
54.1%
2023-12-13T05:22:22.235610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 1514
 
10.0%
지 1236
 
8.1%
사 1004
 
6.6%
복 825
 
5.4%
784
 
5.2%
인 604
 
4.0%
동 446
 
2.9%
법 360
 
2.4%
금 323
 
2.1%
모 310
 
2.0%
Other values (317) 7800
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13990
92.0%
Space Separator 784
 
5.2%
Close Punctuation 147
 
1.0%
Open Punctuation 141
 
0.9%
Decimal Number 70
 
0.5%
Other Punctuation 45
 
0.3%
Lowercase Letter 14
 
0.1%
Uppercase Letter 12
 
0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 1514
 
10.8%
지 1236
 
8.8%
사 1004
 
7.2%
복 825
 
5.9%
인 604
 
4.3%
동 446
 
3.2%
법 360
 
2.6%
금 323
 
2.3%
모 310
 
2.2%
공 299
 
2.1%
Other values (279) 7069
50.5%
Uppercase Letter
ValueCountFrequency (%)
O 2
16.7%
C 1
8.3%
A 1
8.3%
M 1
8.3%
Y 1
8.3%
I 1
8.3%
L 1
8.3%
P 1
8.3%
E 1
8.3%
W 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 17
24.3%
2 14
20.0%
8 10
14.3%
9 9
12.9%
7 8
11.4%
5 5
 
7.1%
3 4
 
5.7%
6 2
 
2.9%
4 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
n 3
21.4%
a 3
21.4%
o 2
14.3%
t 2
14.3%
r 1
 
7.1%
e 1
 
7.1%
l 1
 
7.1%
i 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 21
46.7%
* 16
35.6%
" 6
 
13.3%
. 2
 
4.4%
Space Separator
ValueCountFrequency (%)
784
100.0%
Close Punctuation
ValueCountFrequency (%)
) 147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13991
92.0%
Common 1189
 
7.8%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 1514
 
10.8%
지 1236
 
8.8%
사 1004
 
7.2%
복 825
 
5.9%
인 604
 
4.3%
동 446
 
3.2%
법 360
 
2.6%
금 323
 
2.3%
모 310
 
2.2%
공 299
 
2.1%
Other values (280) 7070
50.5%
Latin
ValueCountFrequency (%)
n 3
 
11.5%
a 3
 
11.5%
o 2
 
7.7%
t 2
 
7.7%
O 2
 
7.7%
C 1
 
3.8%
A 1
 
3.8%
M 1
 
3.8%
Y 1
 
3.8%
r 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
784
65.9%
) 147
 
12.4%
( 141
 
11.9%
, 21
 
1.8%
1 17
 
1.4%
* 16
 
1.3%
2 14
 
1.2%
8 10
 
0.8%
9 9
 
0.8%
7 8
 
0.7%
Other values (8) 22
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13990
92.0%
ASCII 1215
 
8.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 1514
 
10.8%
지 1236
 
8.8%
사 1004
 
7.2%
복 825
 
5.9%
인 604
 
4.3%
동 446
 
3.2%
법 360
 
2.6%
금 323
 
2.3%
모 310
 
2.2%
공 299
 
2.1%
Other values (279) 7069
50.5%
ASCII
ValueCountFrequency (%)
784
64.5%
) 147
 
12.1%
( 141
 
11.6%
, 21
 
1.7%
1 17
 
1.4%
* 16
 
1.3%
2 14
 
1.2%
8 10
 
0.8%
9 9
 
0.7%
7 8
 
0.7%
Other values (27) 48
 
4.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

금액
Real number (ℝ)

Distinct191
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.511587
Minimum0
Maximum5620
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-13T05:22:22.371536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11.5
median4
Q310
95-th percentile106
Maximum5620
Range5620
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation310.01485
Coefficient of variation (CV)6.0183518
Kurtosis174.03651
Mean51.511587
Median Absolute Deviation (MAD)3
Skewness12.108876
Sum61350.3
Variance96109.207
MonotonicityNot monotonic
2023-12-13T05:22:22.509893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 97
 
8.1%
5.0 83
 
7.0%
2.0 73
 
6.1%
1.0 68
 
5.7%
4.0 61
 
5.1%
10.0 56
 
4.7%
0.2 39
 
3.3%
0.5 38
 
3.2%
100.0 33
 
2.8%
20.0 33
 
2.8%
Other values (181) 610
51.2%
ValueCountFrequency (%)
0.0 1
 
0.1%
0.03 1
 
0.1%
0.04 1
 
0.1%
0.06 1
 
0.1%
0.08 1
 
0.1%
0.09 1
 
0.1%
0.1 20
1.7%
0.2 39
3.3%
0.3 25
2.1%
0.4 6
 
0.5%
ValueCountFrequency (%)
5620.0 1
0.1%
5000.0 1
0.1%
3500.0 1
0.1%
3200.0 1
0.1%
3000.0 1
0.1%
2000.0 2
0.2%
1800.0 1
0.1%
1650.0 1
0.1%
1500.0 1
0.1%
1474.0 1
0.1%

금액단위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
백만원
1191 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
백만원 1191
100.0%

Length

2023-12-13T05:22:22.651121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:22:22.739545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백만원 1191
100.0%

목적물
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
현금
742 
물품
449 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row현금
2nd row현금
3rd row물품
4th row현금
5th row현금

Common Values

ValueCountFrequency (%)
현금 742
62.3%
물품 449
37.7%

Length

2023-12-13T05:22:22.847835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:22:22.952611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금 742
62.3%
물품 449
37.7%

기부사유
Text

Distinct1096
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-13T05:22:23.239631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length21.397985
Min length2

Characters and Unicode

Total characters25485
Distinct characters574
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1040 ?
Unique (%)87.3%

Sample

1st row2018년도 새해맞이 떡국나눔 봉사활동 후원
2nd row포항지역 지진피해 돕기 성금 후원
3rd row발전소 주변 기부행사 물품
4th row시무식 대체 노사합동 노인복지관 지원(정산)
5th row대한적십자사 회비 납부
ValueCountFrequency (%)
지원 349
 
6.2%
후원 265
 
4.7%
물품 83
 
1.5%
취약계층 71
 
1.3%
시행 67
 
1.2%
발전소 66
 
1.2%
위한 65
 
1.2%
사업 58
 
1.0%
행사 57
 
1.0%
주변지역 57
 
1.0%
Other values (1820) 4463
79.7%
2023-12-13T05:22:23.767095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4415
 
17.3%
지 1043
 
4.1%
원 1022
 
4.0%
사 614
 
2.4%
기 472
 
1.9%
2 465
 
1.8%
동 357
 
1.4%
회 347
 
1.4%
후 339
 
1.3%
부 287
 
1.1%
Other values (564) 16124
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18926
74.3%
Space Separator 4415
 
17.3%
Decimal Number 1317
 
5.2%
Open Punctuation 271
 
1.1%
Close Punctuation 264
 
1.0%
Lowercase Letter 78
 
0.3%
Other Punctuation 77
 
0.3%
Uppercase Letter 72
 
0.3%
Dash Punctuation 30
 
0.1%
Connector Punctuation 15
 
0.1%
Other values (4) 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1043
 
5.5%
원 1022
 
5.4%
사 614
 
3.2%
기 472
 
2.5%
동 357
 
1.9%
회 347
 
1.8%
후 339
 
1.8%
부 287
 
1.5%
역 256
 
1.4%
물 243
 
1.3%
Other values (491) 13946
73.7%
Uppercase Letter
ValueCountFrequency (%)
P 11
15.3%
D 8
11.1%
U 7
9.7%
C 6
 
8.3%
W 6
 
8.3%
V 4
 
5.6%
O 4
 
5.6%
I 4
 
5.6%
E 4
 
5.6%
L 3
 
4.2%
Other values (10) 15
20.8%
Lowercase Letter
ValueCountFrequency (%)
e 16
20.5%
a 10
12.8%
r 10
12.8%
m 7
9.0%
l 5
 
6.4%
i 4
 
5.1%
p 4
 
5.1%
d 3
 
3.8%
g 3
 
3.8%
o 3
 
3.8%
Other values (8) 13
16.7%
Decimal Number
ValueCountFrequency (%)
2 465
35.3%
1 283
21.5%
0 258
19.6%
3 100
 
7.6%
9 81
 
6.2%
8 58
 
4.4%
4 25
 
1.9%
5 20
 
1.5%
6 14
 
1.1%
7 13
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 28
36.4%
. 22
28.6%
' 7
 
9.1%
· 7
 
9.1%
" 6
 
7.8%
! 4
 
5.2%
& 1
 
1.3%
/ 1
 
1.3%
? 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 264
97.4%
「 5
 
1.8%
[ 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 257
97.3%
」 5
 
1.9%
] 2
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
∼ 1
 
14.3%
Final Punctuation
ValueCountFrequency (%)
” 5
71.4%
’ 2
 
28.6%
Initial Punctuation
ValueCountFrequency (%)
“ 4
80.0%
‘ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
4415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18921
74.2%
Common 6409
 
25.1%
Latin 150
 
0.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1043
 
5.5%
원 1022
 
5.4%
사 614
 
3.2%
기 472
 
2.5%
동 357
 
1.9%
회 347
 
1.8%
후 339
 
1.8%
부 287
 
1.5%
역 256
 
1.4%
물 243
 
1.3%
Other values (488) 13941
73.7%
Latin
ValueCountFrequency (%)
e 16
 
10.7%
P 11
 
7.3%
a 10
 
6.7%
r 10
 
6.7%
D 8
 
5.3%
U 7
 
4.7%
m 7
 
4.7%
C 6
 
4.0%
W 6
 
4.0%
l 5
 
3.3%
Other values (28) 64
42.7%
Common
ValueCountFrequency (%)
4415
68.9%
2 465
 
7.3%
1 283
 
4.4%
( 264
 
4.1%
0 258
 
4.0%
) 257
 
4.0%
3 100
 
1.6%
9 81
 
1.3%
8 58
 
0.9%
- 30
 
0.5%
Other values (25) 198
 
3.1%
Han
ValueCountFrequency (%)
故 3
60.0%
熱 1
 
20.0%
情 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18921
74.2%
ASCII 6528
 
25.6%
None 17
 
0.1%
Punctuation 12
 
< 0.1%
CJK 5
 
< 0.1%
Math Operators 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4415
67.6%
2 465
 
7.1%
1 283
 
4.3%
( 264
 
4.0%
0 258
 
4.0%
) 257
 
3.9%
3 100
 
1.5%
9 81
 
1.2%
8 58
 
0.9%
- 30
 
0.5%
Other values (54) 317
 
4.9%
Hangul
ValueCountFrequency (%)
지 1043
 
5.5%
원 1022
 
5.4%
사 614
 
3.2%
기 472
 
2.5%
동 357
 
1.9%
회 347
 
1.8%
후 339
 
1.8%
부 287
 
1.5%
역 256
 
1.4%
물 243
 
1.3%
Other values (488) 13941
73.7%
None
ValueCountFrequency (%)
· 7
41.2%
「 5
29.4%
」 5
29.4%
Punctuation
ValueCountFrequency (%)
” 5
41.7%
“ 4
33.3%
’ 2
 
16.7%
‘ 1
 
8.3%
CJK
ValueCountFrequency (%)
故 3
60.0%
熱 1
 
20.0%
情 1
 
20.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

Interactions

2023-12-13T05:22:20.882720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:22:23.898528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금액목적물
금액1.0000.072
목적물0.0721.000
2023-12-13T05:22:24.001493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금액목적물
금액1.0000.054
목적물0.0541.000

Missing values

2023-12-13T05:22:20.998693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:22:21.100127image/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

일자기부처금액금액단위목적물기부사유
02018-01-02고앤두1.5백만원현금2018년도 새해맞이 떡국나눔 봉사활동 후원
12018-01-05(사)전국재해구호협회70.0백만원현금포항지역 지진피해 돕기 성금 후원
22018-01-08희망터전4.7백만원물품발전소 주변 기부행사 물품
32018-01-09금강노인복지관1.0백만원현금시무식 대체 노사합동 노인복지관 지원(정산)
42018-01-22대한적십자사 충남지사0.6백만원현금대한적십자사 회비 납부
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