Overview

Dataset statistics

Number of variables3
Number of observations253
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory25.5 B

Variable types

Numeric1
DateTime1
Text1

Dataset

Description한국서부발전 시행년월별 사회공헌활동 내역 정보입니다. 제공데이터는 순번,시행년월,사회공헌활동 내용 입니다. - 데이터 예) 1,2019-01,2019년 기해년 새해맞이 떡국나눔 봉사활동 시행
URLhttps://www.data.go.kr/data/15067722/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:38:53.334364
Analysis finished2023-12-12 22:38:53.843327
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127
Minimum1
Maximum253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T07:38:53.937494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.6
Q164
median127
Q3190
95-th percentile240.4
Maximum253
Range252
Interquartile range (IQR)126

Descriptive statistics

Standard deviation73.179004
Coefficient of variation (CV)0.57621263
Kurtosis-1.2
Mean127
Median Absolute Deviation (MAD)63
Skewness0
Sum32131
Variance5355.1667
MonotonicityStrictly increasing
2023-12-13T07:38:54.115830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
175 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
Other values (243) 243
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
Distinct50
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2019-01-01 00:00:00
Maximum2023-06-01 00:00:00
2023-12-13T07:38:54.250152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:38:54.417096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct250
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T07:38:54.746428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length27.490119
Min length13

Characters and Unicode

Total characters6955
Distinct characters463
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)97.6%

Sample

1st row2019년 기해년 새해맞이 떡국나눔 봉사활동 시행
2nd row어버이날 맞이 배식 봉사활동 시행
3rd rowWP소셜플라워 및 온배수활용 한국형 스마트팜 사업 현장경영 활동 시행
4th row국민행복을 창조하는 사회공헌 아이디어 공모 시상식 개최
5th row호국보훈의 달 간담회 시행
ValueCountFrequency (%)
시행 122
 
7.6%
개최 39
 
2.4%
위한 31
 
1.9%
환경정화행사 23
 
1.4%
23
 
1.4%
전달 20
 
1.2%
취약계층 19
 
1.2%
봉사활동 19
 
1.2%
서부공감 18
 
1.1%
지원 17
 
1.1%
Other values (744) 1277
79.4%
2023-12-13T07:38:55.338322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1500
 
21.6%
181
 
2.6%
180
 
2.6%
155
 
2.2%
115
 
1.7%
113
 
1.6%
2 100
 
1.4%
88
 
1.3%
79
 
1.1%
76
 
1.1%
Other values (453) 4368
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4946
71.1%
Space Separator 1500
 
21.6%
Decimal Number 284
 
4.1%
Other Punctuation 94
 
1.4%
Uppercase Letter 44
 
0.6%
Lowercase Letter 41
 
0.6%
Open Punctuation 15
 
0.2%
Close Punctuation 15
 
0.2%
Math Symbol 5
 
0.1%
Dash Punctuation 5
 
0.1%
Other values (2) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
181
 
3.7%
180
 
3.6%
155
 
3.1%
115
 
2.3%
113
 
2.3%
88
 
1.8%
79
 
1.6%
76
 
1.5%
67
 
1.4%
67
 
1.4%
Other values (393) 3825
77.3%
Uppercase Letter
ValueCountFrequency (%)
P 7
15.9%
D 5
11.4%
U 4
9.1%
C 3
 
6.8%
O 3
 
6.8%
S 3
 
6.8%
W 3
 
6.8%
E 3
 
6.8%
V 2
 
4.5%
G 2
 
4.5%
Other values (7) 9
20.5%
Lowercase Letter
ValueCountFrequency (%)
a 9
22.0%
e 6
14.6%
m 4
9.8%
r 4
9.8%
l 4
9.8%
p 4
9.8%
y 2
 
4.9%
i 2
 
4.9%
g 2
 
4.9%
s 1
 
2.4%
Other values (3) 3
 
7.3%
Decimal Number
ValueCountFrequency (%)
2 100
35.2%
0 55
19.4%
1 55
19.4%
3 25
 
8.8%
9 19
 
6.7%
5 14
 
4.9%
4 8
 
2.8%
6 4
 
1.4%
8 2
 
0.7%
7 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
" 32
34.0%
, 22
23.4%
! 20
21.3%
' 13
13.8%
· 5
 
5.3%
. 1
 
1.1%
& 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 8
53.3%
5
33.3%
2
 
13.3%
Close Punctuation
ValueCountFrequency (%)
) 8
53.3%
5
33.3%
2
 
13.3%
Final Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
1500
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4943
71.1%
Common 1924
 
27.7%
Latin 85
 
1.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
181
 
3.7%
180
 
3.6%
155
 
3.1%
115
 
2.3%
113
 
2.3%
88
 
1.8%
79
 
1.6%
76
 
1.5%
67
 
1.4%
67
 
1.4%
Other values (392) 3822
77.3%
Common
ValueCountFrequency (%)
1500
78.0%
2 100
 
5.2%
0 55
 
2.9%
1 55
 
2.9%
" 32
 
1.7%
3 25
 
1.3%
, 22
 
1.1%
! 20
 
1.0%
9 19
 
1.0%
5 14
 
0.7%
Other values (20) 82
 
4.3%
Latin
ValueCountFrequency (%)
a 9
 
10.6%
P 7
 
8.2%
e 6
 
7.1%
D 5
 
5.9%
m 4
 
4.7%
U 4
 
4.7%
r 4
 
4.7%
l 4
 
4.7%
p 4
 
4.7%
C 3
 
3.5%
Other values (20) 35
41.2%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4943
71.1%
ASCII 1984
28.5%
None 19
 
0.3%
Punctuation 6
 
0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1500
75.6%
2 100
 
5.0%
0 55
 
2.8%
1 55
 
2.8%
" 32
 
1.6%
3 25
 
1.3%
, 22
 
1.1%
! 20
 
1.0%
9 19
 
1.0%
5 14
 
0.7%
Other values (41) 142
 
7.2%
Hangul
ValueCountFrequency (%)
181
 
3.7%
180
 
3.6%
155
 
3.1%
115
 
2.3%
113
 
2.3%
88
 
1.8%
79
 
1.6%
76
 
1.5%
67
 
1.4%
67
 
1.4%
Other values (392) 3822
77.3%
None
ValueCountFrequency (%)
5
26.3%
· 5
26.3%
5
26.3%
2
 
10.5%
2
 
10.5%
CJK
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
33.3%
2
33.3%
1
16.7%
1
16.7%

Interactions

2023-12-13T07:38:53.602211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:38:55.447209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시행년월
순번1.0000.998
시행년월0.9981.000

Missing values

2023-12-13T07:38:53.736408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:38:53.806781image/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

순번시행년월사회공헌활동 내용
012019-012019년 기해년 새해맞이 떡국나눔 봉사활동 시행
122019-05어버이날 맞이 배식 봉사활동 시행
232019-05WP소셜플라워 및 온배수활용 한국형 스마트팜 사업 현장경영 활동 시행
342019-05국민행복을 창조하는 사회공헌 아이디어 공모 시상식 개최
452019-06호국보훈의 달 간담회 시행
562019-07서부 위피스쿨 5기 멘토 발대식 개최
672019-07태안지역 수산종자 매입방류사업 시행
782019-08태안여고와 함께하는 꿈너머꿈 진로탐색 멘토링 행사 시행
892019-08태안군 시니어 동고동락 일자리창출 사업 발대식 시행
9102019-08WP 로컬푸드DAY 행사 시행
순번시행년월사회공헌활동 내용
2432442023-06평택시 『청소년의 날 진로진학 박람회』 안전체험교육장 부스 운영
2442452023-06발전소주변지역 장학금 기탁식 시행
2452462023-06발전소주변지역 취약계층 대상 나눔활동 시행
2462472023-062023년도 육영사업 워크숍 개최
2472482023-062023년 제4차 환경정화행사 시행
2482492023-06취약계층 에너지 비용 지원사업 전달식 시행
2492502023-062023년 6월 환경정화행사 시행
2502512023-062023년 4차 1사 1하천 가꾸기 환경정화행사 시행
2512522023-06원북·이원 취약계층 요실금 패드 전달식 시행
2522532023-062023년 제4차 환경정화행사 시행