Overview

Dataset statistics

Number of variables4
Number of observations124
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory35.1 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

연번 has unique valuesUnique
단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:58:43.062705
Analysis finished2023-12-10 22:58:43.752505
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.5
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:58:43.832540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.15
Q131.75
median62.5
Q393.25
95-th percentile117.85
Maximum124
Range123
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation35.939764
Coefficient of variation (CV)0.57503623
Kurtosis-1.2
Mean62.5
Median Absolute Deviation (MAD)31
Skewness0
Sum7750
Variance1291.6667
MonotonicityStrictly increasing
2023-12-11T07:58:44.003162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
80 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
Other values (114) 114
91.9%
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 (%)
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%

단체명
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:58:44.227837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length8.6290323
Min length2

Characters and Unicode

Total characters1070
Distinct characters203
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

Unique124 ?
Unique (%)100.0%

Sample

1st row(사)더불어사는사회연구소
2nd row(사)소비자교육함안군지회
3rd rowSS프렌드청소년자원봉사팀
4th row가야국악예술단
5th row가야읍 새마을협의회
ValueCountFrequency (%)
적십자봉사대 10
 
6.4%
새마을협의회 10
 
6.4%
자원봉사대 6
 
3.8%
대산면 3
 
1.9%
칠원읍 3
 
1.9%
산인면 3
 
1.9%
군북면 3
 
1.9%
법수면 3
 
1.9%
가야읍 3
 
1.9%
칠북면 2
 
1.3%
Other values (108) 111
70.7%
2023-12-11T07:58:44.623895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 69
 
6.4%
봉 46
 
4.3%
회 40
 
3.7%
단 38
 
3.6%
대 37
 
3.5%
함 33
 
3.1%
안 33
 
3.1%
33
 
3.1%
면 30
 
2.8%
의 27
 
2.5%
Other values (193) 684
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1020
95.3%
Space Separator 33
 
3.1%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 69
 
6.8%
봉 46
 
4.5%
회 40
 
3.9%
단 38
 
3.7%
대 37
 
3.6%
함 33
 
3.2%
안 33
 
3.2%
면 30
 
2.9%
의 27
 
2.6%
자 27
 
2.6%
Other values (187) 640
62.7%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1020
95.3%
Common 48
 
4.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 69
 
6.8%
봉 46
 
4.5%
회 40
 
3.9%
단 38
 
3.7%
대 37
 
3.6%
함 33
 
3.2%
안 33
 
3.2%
면 30
 
2.9%
의 27
 
2.6%
자 27
 
2.6%
Other values (187) 640
62.7%
Common
ValueCountFrequency (%)
33
68.8%
( 6
 
12.5%
) 6
 
12.5%
. 2
 
4.2%
- 1
 
2.1%
Latin
ValueCountFrequency (%)
S 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1020
95.3%
ASCII 50
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 69
 
6.8%
봉 46
 
4.5%
회 40
 
3.9%
단 38
 
3.7%
대 37
 
3.6%
함 33
 
3.2%
안 33
 
3.2%
면 30
 
2.9%
의 27
 
2.6%
자 27
 
2.6%
Other values (187) 640
62.7%
ASCII
ValueCountFrequency (%)
33
66.0%
( 6
 
12.0%
) 6
 
12.0%
. 2
 
4.0%
S 2
 
4.0%
- 1
 
2.0%

단체대표
Text

Distinct117
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T07:58:44.962694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters372
Distinct characters110
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

Unique111 ?
Unique (%)89.5%

Sample

1st row이금숙
2nd row정재숙
3rd row박경희
4th row김혜숙
5th row최의규
ValueCountFrequency (%)
권영희 3
 
2.4%
윤정필 2
 
1.6%
김순선 2
 
1.6%
이정숙 2
 
1.6%
안인순 2
 
1.6%
김현주 2
 
1.6%
배효숙 1
 
0.8%
황평규 1
 
0.8%
하명숙 1
 
0.8%
노영주 1
 
0.8%
Other values (107) 107
86.3%
2023-12-11T07:58:45.424268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 25
 
6.7%
영 20
 
5.4%
숙 18
 
4.8%
정 18
 
4.8%
김 17
 
4.6%
희 15
 
4.0%
순 15
 
4.0%
박 11
 
3.0%
미 9
 
2.4%
조 9
 
2.4%
Other values (100) 215
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 25
 
6.7%
영 20
 
5.4%
숙 18
 
4.8%
정 18
 
4.8%
김 17
 
4.6%
희 15
 
4.0%
순 15
 
4.0%
박 11
 
3.0%
미 9
 
2.4%
조 9
 
2.4%
Other values (100) 215
57.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 25
 
6.7%
영 20
 
5.4%
숙 18
 
4.8%
정 18
 
4.8%
김 17
 
4.6%
희 15
 
4.0%
순 15
 
4.0%
박 11
 
3.0%
미 9
 
2.4%
조 9
 
2.4%
Other values (100) 215
57.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 25
 
6.7%
영 20
 
5.4%
숙 18
 
4.8%
정 18
 
4.8%
김 17
 
4.6%
희 15
 
4.0%
순 15
 
4.0%
박 11
 
3.0%
미 9
 
2.4%
조 9
 
2.4%
Other values (100) 215
57.8%

회원수
Real number (ℝ)

Distinct64
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.733871
Minimum5
Maximum625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:58:45.601260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.15
Q118
median29
Q349.25
95-th percentile97.8
Maximum625
Range620
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation59.558553
Coefficient of variation (CV)1.3937084
Kurtosis75.102994
Mean42.733871
Median Absolute Deviation (MAD)14.5
Skewness7.8120504
Sum5299
Variance3547.2213
MonotonicityNot monotonic
2023-12-11T07:58:45.751699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 7
 
5.6%
14 6
 
4.8%
18 6
 
4.8%
29 5
 
4.0%
9 4
 
3.2%
31 4
 
3.2%
20 4
 
3.2%
48 4
 
3.2%
12 3
 
2.4%
25 3
 
2.4%
Other values (54) 78
62.9%
ValueCountFrequency (%)
5 1
 
0.8%
8 2
 
1.6%
9 4
3.2%
10 2
 
1.6%
11 2
 
1.6%
12 3
2.4%
13 2
 
1.6%
14 6
4.8%
15 1
 
0.8%
16 2
 
1.6%
ValueCountFrequency (%)
625 1
0.8%
141 1
0.8%
125 2
1.6%
111 1
0.8%
99 2
1.6%
91 2
1.6%
87 1
0.8%
84 1
0.8%
83 1
0.8%
81 1
0.8%

Interactions

2023-12-11T07:58:43.424653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:43.240880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:43.517616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:58:43.325872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:58:45.864157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수
연번1.0000.277
회원수0.2771.000
2023-12-11T07:58:45.958180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수
연번1.000-0.313
회원수-0.3131.000

Missing values

2023-12-11T07:58:43.638603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:58:43.722425image/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

연번단체명단체대표회원수
01(사)더불어사는사회연구소이금숙14
12(사)소비자교육함안군지회정재숙77
23SS프렌드청소년자원봉사팀박경희23
34가야국악예술단김혜숙48
45가야읍 새마을협의회최의규83
56가야읍 자원봉사대이미영111
67가야읍 적십자봉사대이정숙46
78경남시민봉사여단 서부지회(함안)이수민5
89고.주.모 사물놀이반김양순27
910군북면 새마을협의회조익래99
연번단체명단체대표회원수
114115함안아동요리지도사고영미9
115116한자녀더갖기함안지부박혜영41
116117참가정실천운동본부함안군위원회이상채43
117118함안문화원어르신문화나눔봉사단홍선자11
118119옹달새미김덕임17
119120칠원분회노인자원봉사클럽이학동19
120121비나리소리단문선이14
121122시민정원사채수용9
122123고주모나향숙8
123124칠원읍청년회옥보환24