Overview

Dataset statistics

Number of variables4
Number of observations132
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory35.0 B

Variable types

Numeric2
Text2

Dataset

Description경상남도 함안군 자원봉사단체 현황에 대한 데이터로 자원봉사 단체명, 자원봉사 단체 대표 및 회원수의 항목에 대한 데이터를 제공합니다.
Author경상남도 함안군
URLhttps://www.data.go.kr/data/3066735/fileData.do

Alerts

번호 has unique valuesUnique
단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:15:23.295384
Analysis finished2023-12-12 04:15:24.151534
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.5
Minimum1
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T13:15:24.258367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.55
Q133.75
median66.5
Q399.25
95-th percentile125.45
Maximum132
Range131
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation38.249183
Coefficient of variation (CV)0.57517568
Kurtosis-1.2
Mean66.5
Median Absolute Deviation (MAD)33
Skewness0
Sum8778
Variance1463
MonotonicityStrictly increasing
2023-12-12T13:15:24.440033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
85 1
 
0.8%
99 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
Other values (122) 122
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
132 1
0.8%
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%

단체명
Text

UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T13:15:24.675222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.7348485
Min length2

Characters and Unicode

Total characters1153
Distinct characters211
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)100.0%

Sample

1st row(사)소비자교육함안군지회
2nd row(사)친환경실천국민운동본부
3rd row(사)한국여성농업인함안군연합회
4th row16기 가족봉사단
5th rowHV81
ValueCountFrequency (%)
새마을협의회 10
 
6.1%
적십자봉사회 10
 
6.1%
자원봉사대 5
 
3.0%
가야읍 3
 
1.8%
법수면 3
 
1.8%
대산면 3
 
1.8%
군북면 3
 
1.8%
칠원읍 3
 
1.8%
칠북면 2
 
1.2%
전문봉사단 2
 
1.2%
Other values (116) 120
73.2%
2023-12-12T13:15:25.150355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 66
 
5.7%
봉 48
 
4.2%
회 47
 
4.1%
함 37
 
3.2%
안 36
 
3.1%
단 35
 
3.0%
32
 
2.8%
대 29
 
2.5%
면 29
 
2.5%
자 28
 
2.4%
Other values (201) 766
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1097
95.1%
Space Separator 32
 
2.8%
Close Punctuation 7
 
0.6%
Open Punctuation 7
 
0.6%
Uppercase Letter 4
 
0.3%
Decimal Number 4
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 66
 
6.0%
봉 48
 
4.4%
회 47
 
4.3%
함 37
 
3.4%
안 36
 
3.3%
단 35
 
3.2%
대 29
 
2.6%
면 29
 
2.6%
자 28
 
2.6%
원 25
 
2.3%
Other values (191) 717
65.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
H 1
25.0%
V 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
6 1
25.0%
8 1
25.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1097
95.1%
Common 52
 
4.5%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 66
 
6.0%
봉 48
 
4.4%
회 47
 
4.3%
함 37
 
3.4%
안 36
 
3.3%
단 35
 
3.2%
대 29
 
2.6%
면 29
 
2.6%
자 28
 
2.6%
원 25
 
2.3%
Other values (191) 717
65.4%
Common
ValueCountFrequency (%)
32
61.5%
) 7
 
13.5%
( 7
 
13.5%
1 2
 
3.8%
. 2
 
3.8%
6 1
 
1.9%
8 1
 
1.9%
Latin
ValueCountFrequency (%)
S 2
50.0%
H 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1097
95.1%
ASCII 56
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 66
 
6.0%
봉 48
 
4.4%
회 47
 
4.3%
함 37
 
3.4%
안 36
 
3.3%
단 35
 
3.2%
대 29
 
2.6%
면 29
 
2.6%
자 28
 
2.6%
원 25
 
2.3%
Other values (191) 717
65.4%
ASCII
ValueCountFrequency (%)
32
57.1%
) 7
 
12.5%
( 7
 
12.5%
S 2
 
3.6%
1 2
 
3.6%
. 2
 
3.6%
6 1
 
1.8%
H 1
 
1.8%
V 1
 
1.8%
8 1
 
1.8%

단체대표
Text

Distinct128
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T13:15:25.545843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9924242
Min length2

Characters and Unicode

Total characters395
Distinct characters113
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)93.9%

Sample

1st row안정미
2nd row노영주
3rd row오상자
4th row강지현
5th row구만서
ValueCountFrequency (%)
옥보환 2
 
1.5%
권영희 2
 
1.5%
윤정필 2
 
1.5%
김정숙 2
 
1.5%
이종국 1
 
0.8%
김예진 1
 
0.8%
박미정 1
 
0.8%
김옥휘 1
 
0.8%
김경수 1
 
0.8%
이학동 1
 
0.8%
Other values (118) 118
89.4%
2023-12-12T13:15:26.097057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 23
 
5.8%
이 20
 
5.1%
김 15
 
3.8%
영 14
 
3.5%
순 12
 
3.0%
윤 12
 
3.0%
박 12
 
3.0%
숙 11
 
2.8%
미 11
 
2.8%
희 11
 
2.8%
Other values (103) 254
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 23
 
5.8%
이 20
 
5.1%
김 15
 
3.8%
영 14
 
3.5%
순 12
 
3.0%
윤 12
 
3.0%
박 12
 
3.0%
숙 11
 
2.8%
미 11
 
2.8%
희 11
 
2.8%
Other values (103) 254
64.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 23
 
5.8%
이 20
 
5.1%
김 15
 
3.8%
영 14
 
3.5%
순 12
 
3.0%
윤 12
 
3.0%
박 12
 
3.0%
숙 11
 
2.8%
미 11
 
2.8%
희 11
 
2.8%
Other values (103) 254
64.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 23
 
5.8%
이 20
 
5.1%
김 15
 
3.8%
영 14
 
3.5%
순 12
 
3.0%
윤 12
 
3.0%
박 12
 
3.0%
숙 11
 
2.8%
미 11
 
2.8%
희 11
 
2.8%
Other values (103) 254
64.3%

회원수
Real number (ℝ)

Distinct59
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.371212
Minimum7
Maximum623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T13:15:26.259863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q114.75
median22
Q344.5
95-th percentile112.25
Maximum623
Range616
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation59.680499
Coefficient of variation (CV)1.515841
Kurtosis70.456543
Mean39.371212
Median Absolute Deviation (MAD)11
Skewness7.4600529
Sum5197
Variance3561.7619
MonotonicityNot monotonic
2023-12-12T13:15:26.412304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 8
 
6.1%
10 8
 
6.1%
15 7
 
5.3%
18 7
 
5.3%
12 6
 
4.5%
21 6
 
4.5%
9 5
 
3.8%
19 4
 
3.0%
33 3
 
2.3%
20 3
 
2.3%
Other values (49) 75
56.8%
ValueCountFrequency (%)
7 1
 
0.8%
9 5
3.8%
10 8
6.1%
11 8
6.1%
12 6
4.5%
13 2
 
1.5%
14 3
 
2.3%
15 7
5.3%
16 3
 
2.3%
17 2
 
1.5%
ValueCountFrequency (%)
623 1
0.8%
167 1
0.8%
148 1
0.8%
133 1
0.8%
125 1
0.8%
116 1
0.8%
115 1
0.8%
110 1
0.8%
102 1
0.8%
93 1
0.8%

Interactions

2023-12-12T13:15:23.751514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:15:23.513476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:15:23.869089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:15:23.617875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:15:26.508196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호회원수
번호1.0000.074
회원수0.0741.000
2023-12-12T13:15:26.591851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호회원수
번호1.000-0.109
회원수-0.1091.000

Missing values

2023-12-12T13:15:23.991818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:15:24.103575image/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

번호단체명단체대표회원수
01(사)소비자교육함안군지회안정미83
12(사)친환경실천국민운동본부노영주47
23(사)한국여성농업인함안군연합회오상자60
3416기 가족봉사단강지현24
45HV81구만서9
56SS프렌드청소년자원봉사팀이유림21
67가야국악예술단김혜숙47
78가야둥이들안수경11
89가야읍 새마을협의회안상목93
910가야읍 자원봉사대이미영115
번호단체명단체대표회원수
122123함안박물관자원봉사단이정숙9
123124함안산성라이온스클럽최봉석12
124125함안아동요리지도사고영미9
125126함안아라라이온스클럽주귀옥21
126127함안아시랑로타리클럽안순주56
127128함안외국인센터윤혁권43
128129함안청소년오케스트라정진향41
129130함안평화대사협의회문영택10
130131함중사모회강설자12
131132희망나눔봉사단최은정15