Overview

Dataset statistics

Number of variables5
Number of observations147
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory43.9 B

Variable types

Text1
Categorical2
Numeric1
DateTime1

Dataset

Description학교명,활동년도,활동학기,활동자수,작업일자
Author서울시자원봉사센터
URLhttps://data.seoul.go.kr/dataList/OA-12904/S/1/datasetView.do

Reproduction

Analysis started2024-01-21 19:35:03.522456
Analysis finished2024-01-21 19:35:04.123766
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교명
Text

Distinct54
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-22T04:35:04.331121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length6.1768707
Min length4

Characters and Unicode

Total characters908
Distinct characters86
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)3.4%

Sample

1st row가톨릭대학교
2nd row가천대학교
3rd row홍익대학교
4th row한영신학대학교
5th row한양여자대학
ValueCountFrequency (%)
가톨릭대학교 3
 
2.0%
건국대학교 3
 
2.0%
가천대학교 3
 
2.0%
서울교육대학교 3
 
2.0%
서울시립대학교 3
 
2.0%
서경대학교 3
 
2.0%
서강대학교 3
 
2.0%
경기대학교 3
 
2.0%
삼육대학교 3
 
2.0%
백석예술대학교 3
 
2.0%
Other values (44) 117
79.6%
2024-01-22T04:35:04.782125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 155
17.1%
대 147
16.2%
교 129
14.2%
서 32
 
3.5%
자 31
 
3.4%
여 29
 
3.2%
국 23
 
2.5%
울 22
 
2.4%
한 21
 
2.3%
성 17
 
1.9%
Other values (76) 302
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 902
99.3%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 155
17.2%
대 147
16.3%
교 129
14.3%
서 32
 
3.5%
자 31
 
3.4%
여 29
 
3.2%
국 23
 
2.5%
울 22
 
2.4%
한 21
 
2.3%
성 17
 
1.9%
Other values (74) 296
32.8%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 902
99.3%
Common 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 155
17.2%
대 147
16.3%
교 129
14.3%
서 32
 
3.5%
자 31
 
3.4%
여 29
 
3.2%
국 23
 
2.5%
울 22
 
2.4%
한 21
 
2.3%
성 17
 
1.9%
Other values (74) 296
32.8%
Common
ValueCountFrequency (%)
) 3
50.0%
( 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 902
99.3%
ASCII 6
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 155
17.2%
대 147
16.3%
교 129
14.3%
서 32
 
3.5%
자 31
 
3.4%
여 29
 
3.2%
국 23
 
2.5%
울 22
 
2.4%
한 21
 
2.3%
성 17
 
1.9%
Other values (74) 296
32.8%
ASCII
ValueCountFrequency (%)
) 3
50.0%
( 3
50.0%

활동년도
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2016
99 
2015
48 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016
2nd row2016
3rd row2016
4th row2016
5th row2016

Common Values

ValueCountFrequency (%)
2016 99
67.3%
2015 48
32.7%

Length

2024-01-22T04:35:04.956527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-22T04:35:05.083127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 99
67.3%
2015 48
32.7%

활동학기
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2
97 
1
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 97
66.0%
1 50
34.0%

Length

2024-01-22T04:35:05.214322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-22T04:35:05.339436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 97
66.0%
1 50
34.0%

활동자수
Real number (ℝ)

Distinct100
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102
Minimum1
Maximum391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-22T04:35:05.481730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median89
Q3178
95-th percentile283.5
Maximum391
Range390
Interquartile range (IQR)172

Descriptive statistics

Standard deviation97.335179
Coefficient of variation (CV)0.95426646
Kurtosis-0.056914562
Mean102
Median Absolute Deviation (MAD)83
Skewness0.80761501
Sum14994
Variance9474.137
MonotonicityNot monotonic
2024-01-22T04:35:05.634659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13
 
8.8%
2 10
 
6.8%
3 6
 
4.1%
6 4
 
2.7%
4 4
 
2.7%
214 3
 
2.0%
15 2
 
1.4%
121 2
 
1.4%
9 2
 
1.4%
109 2
 
1.4%
Other values (90) 99
67.3%
ValueCountFrequency (%)
1 13
8.8%
2 10
6.8%
3 6
4.1%
4 4
 
2.7%
5 1
 
0.7%
6 4
 
2.7%
7 1
 
0.7%
9 2
 
1.4%
10 2
 
1.4%
11 1
 
0.7%
ValueCountFrequency (%)
391 1
0.7%
380 1
0.7%
345 1
0.7%
337 1
0.7%
333 1
0.7%
310 1
0.7%
309 1
0.7%
285 1
0.7%
280 1
0.7%
258 1
0.7%

작업일자
Date

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2015-12-30 02:00:03
Maximum2016-12-30 02:00:02
2024-01-22T04:35:05.781744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-22T04:35:05.910003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

Interactions

2024-01-22T04:35:03.771223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-22T04:35:06.021876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교명활동년도활동학기활동자수작업일자
학교명1.0000.0000.0000.9060.000
활동년도0.0001.0000.6840.0001.000
활동학기0.0000.6841.0000.0001.000
활동자수0.9060.0000.0001.0000.000
작업일자0.0001.0001.0000.0001.000
2024-01-22T04:35:06.142862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활동학기활동년도
활동학기1.0000.479
활동년도0.4791.000
2024-01-22T04:35:06.236330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활동자수활동년도활동학기
활동자수1.0000.0000.000
활동년도0.0001.0000.479
활동학기0.0000.4791.000

Missing values

2024-01-22T04:35:03.925287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-22T04:35:04.074489image/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

학교명활동년도활동학기활동자수작업일자
0가톨릭대학교20162182016-12-30 02:00:02.0
1가천대학교201621122016-12-30 02:00:02.0
2홍익대학교201621352016-12-30 02:00:02.0
3한영신학대학교2016212016-12-30 02:00:02.0
4한양여자대학20162112016-12-30 02:00:02.0
5한양대학교201621972016-12-30 02:00:02.0
6한성대학교20162742016-12-30 02:00:02.0
7한국체육대학교20162202016-12-30 02:00:02.0
8한국외국어대학교201622142016-12-30 02:00:02.0
9한국예술종합학교2016212016-12-30 02:00:02.0
학교명활동년도활동학기활동자수작업일자
137덕성여자대학교201521212015-12-30 02:00:03.0
138그리스도대학교2015252015-12-30 02:00:03.0
139국민대학교201522582015-12-30 02:00:03.0
140광운대학교201521102015-12-30 02:00:03.0
141고려대학교201521632015-12-30 02:00:03.0
142경희대학교201522332015-12-30 02:00:03.0
143경기대학교20152542015-12-30 02:00:03.0
144건국대학교201522122015-12-30 02:00:03.0
145가톨릭대학교20152172015-12-30 02:00:03.0
146가천대학교20152742015-12-30 02:00:03.0