Overview

Dataset statistics

Number of variables4
Number of observations137
Missing cells18
Missing cells (%)3.3%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory4.7 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://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3066735

Alerts

Dataset has 1 (0.7%) duplicate rowsDuplicates
연번 has 4 (2.9%) missing valuesMissing
단체명 has 4 (2.9%) missing valuesMissing
단체대표 has 6 (4.4%) missing valuesMissing
회원수 has 4 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:58:46.639553
Analysis finished2023-12-10 22:58:47.396986
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)100.0%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean67
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:58:47.467076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.6
Q134
median67
Q3100
95-th percentile126.4
Maximum133
Range132
Interquartile range (IQR)66

Descriptive statistics

Standard deviation38.53786
Coefficient of variation (CV)0.57519194
Kurtosis-1.2
Mean67
Median Absolute Deviation (MAD)33
Skewness0
Sum8911
Variance1485.1667
MonotonicityStrictly increasing
2023-12-11T07:58:47.617384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 1
 
0.7%
99 1
 
0.7%
98 1
 
0.7%
97 1
 
0.7%
96 1
 
0.7%
95 1
 
0.7%
94 1
 
0.7%
93 1
 
0.7%
92 1
 
0.7%
91 1
 
0.7%
Other values (123) 123
89.8%
(Missing) 4
 
2.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%
125 1
0.7%
124 1
0.7%

단체명
Text

MISSING 

Distinct133
Distinct (%)100.0%
Missing4
Missing (%)2.9%
Memory size1.2 KiB
2023-12-11T07:58:47.813632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.6015038
Min length2

Characters and Unicode

Total characters1144
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

Unique133 ?
Unique (%)100.0%

Sample

1st row(사)더불어사는사회연구소
2nd row(사)소비자교육함안군지회
3rd rowSS프렌드청소년자원봉사팀
4th row가야국악예술단
5th row가야읍 새마을협의회
ValueCountFrequency (%)
새마을협의회 10
 
6.1%
적십자봉사대 10
 
6.1%
자원봉사대 5
 
3.0%
법수면 3
 
1.8%
가야읍 3
 
1.8%
칠원읍 3
 
1.8%
산인면 3
 
1.8%
군북면 3
 
1.8%
대산면 2
 
1.2%
칠서면 2
 
1.2%
Other values (118) 121
73.3%
2023-12-11T07:58:48.124094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 79
 
6.9%
봉 53
 
4.6%
회 41
 
3.6%
단 41
 
3.6%
대 36
 
3.1%
함 35
 
3.1%
안 34
 
3.0%
32
 
2.8%
면 29
 
2.5%
자 29
 
2.5%
Other values (201) 735
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1094
95.6%
Space Separator 32
 
2.8%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Uppercase Letter 4
 
0.3%
Other Punctuation 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 79
 
7.2%
봉 53
 
4.8%
회 41
 
3.7%
단 41
 
3.7%
대 36
 
3.3%
함 35
 
3.2%
안 34
 
3.1%
면 29
 
2.7%
자 29
 
2.7%
의 27
 
2.5%
Other values (194) 690
63.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
G 2
50.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1094
95.6%
Common 46
 
4.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 79
 
7.2%
봉 53
 
4.8%
회 41
 
3.7%
단 41
 
3.7%
대 36
 
3.3%
함 35
 
3.2%
안 34
 
3.1%
면 29
 
2.7%
자 29
 
2.7%
의 27
 
2.5%
Other values (194) 690
63.1%
Common
ValueCountFrequency (%)
32
69.6%
) 5
 
10.9%
( 5
 
10.9%
. 3
 
6.5%
- 1
 
2.2%
Latin
ValueCountFrequency (%)
S 2
50.0%
G 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1094
95.6%
ASCII 50
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 79
 
7.2%
봉 53
 
4.8%
회 41
 
3.7%
단 41
 
3.7%
대 36
 
3.3%
함 35
 
3.2%
안 34
 
3.1%
면 29
 
2.7%
자 29
 
2.7%
의 27
 
2.5%
Other values (194) 690
63.1%
ASCII
ValueCountFrequency (%)
32
64.0%
) 5
 
10.0%
( 5
 
10.0%
. 3
 
6.0%
S 2
 
4.0%
G 2
 
4.0%
- 1
 
2.0%

단체대표
Text

MISSING 

Distinct123
Distinct (%)93.9%
Missing6
Missing (%)4.4%
Memory size1.2 KiB
2023-12-11T07:58:48.442826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters393
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

Unique116 ?
Unique (%)88.5%

Sample

1st row이금숙
2nd row김경자
3rd row박경희
4th row김혜숙
5th row최의규
ValueCountFrequency (%)
김현주 3
 
2.3%
이희정 2
 
1.5%
김대영 2
 
1.5%
조용덕 2
 
1.5%
윤정필 2
 
1.5%
김정숙 2
 
1.5%
권영희 2
 
1.5%
배효숙 1
 
0.8%
조숙희 1
 
0.8%
김재순 1
 
0.8%
Other values (113) 113
86.3%
2023-12-11T07:58:48.873852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 27
 
6.9%
영 20
 
5.1%
이 19
 
4.8%
정 18
 
4.6%
숙 15
 
3.8%
희 15
 
3.8%
순 14
 
3.6%
조 14
 
3.6%
경 10
 
2.5%
자 10
 
2.5%
Other values (103) 231
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 27
 
6.9%
영 20
 
5.1%
이 19
 
4.8%
정 18
 
4.6%
숙 15
 
3.8%
희 15
 
3.8%
순 14
 
3.6%
조 14
 
3.6%
경 10
 
2.5%
자 10
 
2.5%
Other values (103) 231
58.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 27
 
6.9%
영 20
 
5.1%
이 19
 
4.8%
정 18
 
4.6%
숙 15
 
3.8%
희 15
 
3.8%
순 14
 
3.6%
조 14
 
3.6%
경 10
 
2.5%
자 10
 
2.5%
Other values (103) 231
58.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 27
 
6.9%
영 20
 
5.1%
이 19
 
4.8%
정 18
 
4.6%
숙 15
 
3.8%
희 15
 
3.8%
순 14
 
3.6%
조 14
 
3.6%
경 10
 
2.5%
자 10
 
2.5%
Other values (103) 231
58.8%

회원수
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)43.6%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean38.827068
Minimum5
Maximum626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T07:58:49.032296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.6
Q115
median29
Q344
95-th percentile85.8
Maximum626
Range621
Interquartile range (IQR)29

Descriptive statistics

Standard deviation56.923462
Coefficient of variation (CV)1.4660768
Kurtosis86.849958
Mean38.827068
Median Absolute Deviation (MAD)14
Skewness8.5215619
Sum5164
Variance3240.2805
MonotonicityNot monotonic
2023-12-11T07:58:49.191574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 8
 
5.8%
20 6
 
4.4%
11 6
 
4.4%
8 6
 
4.4%
15 5
 
3.6%
18 5
 
3.6%
29 5
 
3.6%
34 4
 
2.9%
19 4
 
2.9%
43 4
 
2.9%
Other values (48) 80
58.4%
ValueCountFrequency (%)
5 1
 
0.7%
8 6
4.4%
9 1
 
0.7%
10 3
 
2.2%
11 6
4.4%
12 2
 
1.5%
13 2
 
1.5%
14 8
5.8%
15 5
3.6%
17 3
 
2.2%
ValueCountFrequency (%)
626 1
0.7%
125 1
0.7%
120 1
0.7%
115 1
0.7%
109 1
0.7%
92 1
0.7%
87 1
0.7%
85 1
0.7%
84 1
0.7%
82 1
0.7%

Interactions

2023-12-11T07:58:47.002150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:46.821576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:47.088335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:46.891090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:58:49.286751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수
연번1.0000.218
회원수0.2181.000
2023-12-11T07:58:49.672138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수
연번1.000-0.402
회원수-0.4021.000

Missing values

2023-12-11T07:58:47.193319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:58:47.265203image/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.
2023-12-11T07:58:47.348722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번단체명단체대표회원수
01(사)더불어사는사회연구소이금숙14
12(사)소비자교육함안군지회김경자77
23SS프렌드청소년자원봉사팀박경희21
34가야국악예술단김혜숙50
45가야읍 새마을협의회최의규49
56가야읍 자원봉사대김둘순120
67가야읍 적십자봉사대김순자41
78경남시민봉사여단 서부지회(함안)이수민5
89고.주.모 사물놀이반김양순27
910군북면 새마을협의회조익래69
연번단체명단체대표회원수
127128칠원분회노인자원봉사클럽이학동17
128129비나리소리단문선이13
129130시민정원사구영숙8
130131고주모나향숙8
131132칠원읍청년회옥보환10
132133영동둘레길김성관75
133<NA><NA><NA><NA>
134<NA><NA><NA><NA>
135<NA><NA><NA><NA>
136<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번단체명단체대표회원수# duplicates
0<NA><NA><NA><NA>4