Overview

Dataset statistics

Number of variables7
Number of observations157
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory58.8 B

Variable types

Numeric2
Text2
Categorical2
DateTime1

Dataset

Description보령시의 자원봉사 단체 및 인원 현황(단체명, 단체대표, 회원수, 상태, 단체구분, 등록일자)을 제공하는 파일 데이터 입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=389&beforeMenuCd=DOM_000000201001001000&publicdatapk=3078590

Alerts

상태 has constant value ""Constant
순번 is highly overall correlated with 회원수High correlation
회원수 is highly overall correlated with 순번High correlation
단체대표 has 2 (1.3%) missing valuesMissing
순번 has unique valuesUnique
단체명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:22:07.836176
Analysis finished2024-01-09 20:22:08.548629
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T05:22:08.615172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.8
Q140
median79
Q3118
95-th percentile149.2
Maximum157
Range156
Interquartile range (IQR)78

Descriptive statistics

Standard deviation45.466105
Coefficient of variation (CV)0.57552031
Kurtosis-1.2
Mean79
Median Absolute Deviation (MAD)39
Skewness0
Sum12403
Variance2067.1667
MonotonicityStrictly increasing
2024-01-10T05:22:08.734012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
109 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
110 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%

단체명
Text

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-10T05:22:08.928718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length9.9363057
Min length3

Characters and Unicode

Total characters1560
Distinct characters254
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

Unique157 ?
Unique (%)100.0%

Sample

1st row보령시재향군인회
2nd row보령시노인종합복지관
3rd row보령시(공무원)
4th row새마을운동보령시지회
5th row보령시자율방범연합대
ValueCountFrequency (%)
대한노인회 6
 
2.8%
제2기 5
 
2.4%
청소년전문자원봉사단 4
 
1.9%
부녀회 2
 
0.9%
보령시지부 2
 
0.9%
보령 2
 
0.9%
만세보령 2
 
0.9%
이동빨래봉사단 2
 
0.9%
봉사클럽 2
 
0.9%
청소면 2
 
0.9%
Other values (180) 182
86.3%
2024-01-10T05:22:09.247671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 68
 
4.4%
사 65
 
4.2%
대 60
 
3.8%
보 59
 
3.8%
령 57
 
3.7%
자 54
 
3.5%
54
 
3.5%
봉 38
 
2.4%
시 35
 
2.2%
단 31
 
2.0%
Other values (244) 1039
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
92.2%
Space Separator 54
 
3.5%
Decimal Number 32
 
2.1%
Close Punctuation 17
 
1.1%
Open Punctuation 10
 
0.6%
Lowercase Letter 4
 
0.3%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 68
 
4.7%
사 65
 
4.5%
대 60
 
4.2%
보 59
 
4.1%
령 57
 
4.0%
자 54
 
3.8%
봉 38
 
2.6%
시 35
 
2.4%
단 31
 
2.2%
지 31
 
2.2%
Other values (227) 941
65.4%
Decimal Number
ValueCountFrequency (%)
1 10
31.2%
2 10
31.2%
0 4
 
12.5%
5 3
 
9.4%
3 3
 
9.4%
7 1
 
3.1%
8 1
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
B 1
25.0%
M 1
25.0%
G 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
t 1
25.0%
m 1
25.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
92.2%
Common 113
 
7.2%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 68
 
4.7%
사 65
 
4.5%
대 60
 
4.2%
보 59
 
4.1%
령 57
 
4.0%
자 54
 
3.8%
봉 38
 
2.6%
시 35
 
2.4%
단 31
 
2.2%
지 31
 
2.2%
Other values (227) 941
65.4%
Common
ValueCountFrequency (%)
54
47.8%
) 17
 
15.0%
1 10
 
8.8%
2 10
 
8.8%
( 10
 
8.8%
0 4
 
3.5%
5 3
 
2.7%
3 3
 
2.7%
7 1
 
0.9%
8 1
 
0.9%
Latin
ValueCountFrequency (%)
e 2
25.0%
t 1
12.5%
m 1
12.5%
Y 1
12.5%
B 1
12.5%
M 1
12.5%
G 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
92.2%
ASCII 121
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 68
 
4.7%
사 65
 
4.5%
대 60
 
4.2%
보 59
 
4.1%
령 57
 
4.0%
자 54
 
3.8%
봉 38
 
2.6%
시 35
 
2.4%
단 31
 
2.2%
지 31
 
2.2%
Other values (227) 941
65.4%
ASCII
ValueCountFrequency (%)
54
44.6%
) 17
 
14.0%
1 10
 
8.3%
2 10
 
8.3%
( 10
 
8.3%
0 4
 
3.3%
5 3
 
2.5%
3 3
 
2.5%
e 2
 
1.7%
t 1
 
0.8%
Other values (7) 7
 
5.8%

단체대표
Text

MISSING 

Distinct149
Distinct (%)96.1%
Missing2
Missing (%)1.3%
Memory size1.4 KiB
2024-01-10T05:22:09.526913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters465
Distinct characters117
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

Unique143 ?
Unique (%)92.3%

Sample

1st row임기혁
2nd row김달수
3rd row김동일
4th row양완수
5th row김봉권
ValueCountFrequency (%)
전윤수 2
 
1.3%
김규열 2
 
1.3%
김효자 2
 
1.3%
김익현 2
 
1.3%
김정진 2
 
1.3%
오치인 2
 
1.3%
임기혁 1
 
0.6%
장흥태 1
 
0.6%
유연서 1
 
0.6%
전병준 1
 
0.6%
Other values (139) 139
89.7%
2024-01-10T05:22:09.912881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 37
 
8.0%
이 34
 
7.3%
영 14
 
3.0%
희 12
 
2.6%
정 12
 
2.6%
경 10
 
2.2%
숙 10
 
2.2%
순 9
 
1.9%
수 9
 
1.9%
인 9
 
1.9%
Other values (107) 309
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 465
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 37
 
8.0%
이 34
 
7.3%
영 14
 
3.0%
희 12
 
2.6%
정 12
 
2.6%
경 10
 
2.2%
숙 10
 
2.2%
순 9
 
1.9%
수 9
 
1.9%
인 9
 
1.9%
Other values (107) 309
66.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 37
 
8.0%
이 34
 
7.3%
영 14
 
3.0%
희 12
 
2.6%
정 12
 
2.6%
경 10
 
2.2%
숙 10
 
2.2%
순 9
 
1.9%
수 9
 
1.9%
인 9
 
1.9%
Other values (107) 309
66.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 465
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 37
 
8.0%
이 34
 
7.3%
영 14
 
3.0%
희 12
 
2.6%
정 12
 
2.6%
경 10
 
2.2%
숙 10
 
2.2%
순 9
 
1.9%
수 9
 
1.9%
인 9
 
1.9%
Other values (107) 309
66.5%

회원수
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.050955
Minimum2
Maximum2881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T05:22:10.038421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q114
median21
Q339
95-th percentile132.8
Maximum2881
Range2879
Interquartile range (IQR)25

Descriptive statistics

Standard deviation265.78598
Coefficient of variation (CV)3.7407799
Kurtosis83.605578
Mean71.050955
Median Absolute Deviation (MAD)10
Skewness8.5468857
Sum11155
Variance70642.19
MonotonicityDecreasing
2024-01-10T05:22:10.382951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 8
 
5.1%
11 7
 
4.5%
12 7
 
4.5%
20 7
 
4.5%
27 7
 
4.5%
15 7
 
4.5%
7 6
 
3.8%
16 5
 
3.2%
21 5
 
3.2%
18 5
 
3.2%
Other values (52) 93
59.2%
ValueCountFrequency (%)
2 2
 
1.3%
4 2
 
1.3%
6 3
1.9%
7 6
3.8%
8 4
2.5%
9 2
 
1.3%
10 2
 
1.3%
11 7
4.5%
12 7
4.5%
13 2
 
1.3%
ValueCountFrequency (%)
2881 1
0.6%
1242 1
0.6%
938 1
0.6%
537 1
0.6%
536 1
0.6%
511 1
0.6%
196 1
0.6%
148 1
0.6%
129 1
0.6%
118 1
0.6%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
활동
157 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
활동 157
100.0%

Length

2024-01-10T05:22:10.485661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:10.563448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활동 157
100.0%

단체구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
나눔단체
136 
법인
21 

Length

Max length4
Median length4
Mean length3.7324841
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
나눔단체 136
86.6%
법인 21
 
13.4%

Length

2024-01-10T05:22:10.650380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:10.741732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나눔단체 136
86.6%
법인 21
 
13.4%

등록일자
Date

Distinct115
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2011-12-10 00:00:00
Maximum2020-02-25 00:00:00
2024-01-10T05:22:10.828586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:10.932717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T05:22:08.241736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:08.074919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:08.317283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:22:08.166363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:22:11.000066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회원수단체구분
순번1.0000.4040.466
회원수0.4041.0000.000
단체구분0.4660.0001.000
2024-01-10T05:22:11.079860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회원수단체구분
순번1.000-1.0000.348
회원수-1.0001.0000.000
단체구분0.3480.0001.000

Missing values

2024-01-10T05:22:08.409509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:22:08.508784image/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

순번단체명단체대표회원수상태단체구분등록일자
01보령시재향군인회임기혁2881활동나눔단체2014-05-20
12보령시노인종합복지관김달수1242활동나눔단체2014-08-20
23보령시(공무원)김동일938활동나눔단체2012-11-28
34새마을운동보령시지회양완수537활동나눔단체2017-07-11
45보령시자율방범연합대김봉권536활동나눔단체2017-08-08
56바르게살기운동 보령시협의회강서홍511활동법인2011-12-10
67대한민국특수임무유공자회충남지부보령시지회김현규196활동법인2011-12-10
78보령시사회복지협의회김선치148활동법인2011-12-10
89대한적십자사보령지구협의회이계자129활동나눔단체2013-04-24
910보령시여성자율방범연합대강혜숙118활동나눔단체2013-06-21
순번단체명단체대표회원수상태단체구분등록일자
147148성주여성자율방범대조성인7활동나눔단체2013-11-07
148149보령큐레이터봉사단김혜선7활동나눔단체2016-05-12
149150할매 인 가배윤순화7활동나눔단체2017-05-23
150151한국전력공사보령지사차은영6활동나눔단체2013-09-16
151152보령 색소폰 동호회전윤수6활동나눔단체2019-05-15
152153한국장애인사랑나눔협회진기필6활동나눔단체2017-10-23
153154청소여성자율방범대이정임4활동나눔단체2013-11-07
154155센트럴 사랑나눔회이해주4활동나눔단체2019-02-11
155156적십자주교최연분2활동나눔단체2012-12-24
156157성주자율방범대전용선2활동나눔단체2017-02-09