Overview

Dataset statistics

Number of variables6
Number of observations38
Missing cells13
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory53.5 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description제주특별자치도 내 소재하고 있는 여성소그룹모임과 관련한 데이터로 명칭, 회원수, 설립년도, 소재지, 연락처 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056221/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
회원수 is highly overall correlated with 설립년도High correlation
설립년도 is highly overall correlated with 회원수High correlation
연락처 has 13 (34.2%) missing valuesMissing
명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:13:00.745267
Analysis finished2023-12-12 15:13:01.636412
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T00:13:01.783598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length11.657895
Min length6

Characters and Unicode

Total characters443
Distinct characters132
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row제주샛별라이온즈
2nd row제주한마음클럽
3rd row최남단 로타리클럽
4th row제주송악라이온즈
5th row제주물팡 로타리클럽
ValueCountFrequency (%)
로타리클럽 9
 
15.5%
제주지부 2
 
3.4%
제주샛별라이온즈 1
 
1.7%
한란라이온즈 1
 
1.7%
만덕라이온즈 1
 
1.7%
대한민국전몰군경 1
 
1.7%
미망인회제주지부 1
 
1.7%
한란 1
 
1.7%
한국전통꽃예술연구회 1
 
1.7%
제주지부(전국 1
 
1.7%
Other values (39) 39
67.2%
2023-12-13T00:13:02.173994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
5.6%
회 25
 
5.6%
제 24
 
5.4%
20
 
4.5%
리 13
 
2.9%
클 12
 
2.7%
럽 12
 
2.7%
타 11
 
2.5%
로 11
 
2.5%
이 11
 
2.5%
Other values (122) 279
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
92.1%
Space Separator 20
 
4.5%
Close Punctuation 8
 
1.8%
Open Punctuation 7
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
6.1%
회 25
 
6.1%
제 24
 
5.9%
리 13
 
3.2%
클 12
 
2.9%
럽 12
 
2.9%
타 11
 
2.7%
로 11
 
2.7%
이 11
 
2.7%
한 10
 
2.5%
Other values (119) 254
62.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
92.1%
Common 35
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
6.1%
회 25
 
6.1%
제 24
 
5.9%
리 13
 
3.2%
클 12
 
2.9%
럽 12
 
2.9%
타 11
 
2.7%
로 11
 
2.7%
이 11
 
2.7%
한 10
 
2.5%
Other values (119) 254
62.3%
Common
ValueCountFrequency (%)
20
57.1%
) 8
 
22.9%
( 7
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
92.1%
ASCII 35
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
6.1%
회 25
 
6.1%
제 24
 
5.9%
리 13
 
3.2%
클 12
 
2.9%
럽 12
 
2.9%
타 11
 
2.7%
로 11
 
2.7%
이 11
 
2.7%
한 10
 
2.5%
Other values (119) 254
62.3%
ASCII
ValueCountFrequency (%)
20
57.1%
) 8
 
22.9%
( 7
 
20.0%

회원수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.65789
Minimum18
Maximum11000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T00:13:02.342884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile28
Q140.25
median71
Q3120
95-th percentile2217
Maximum11000
Range10982
Interquartile range (IQR)79.75

Descriptive statistics

Standard deviation2256.0791
Coefficient of variation (CV)3.5773422
Kurtosis16.951117
Mean630.65789
Median Absolute Deviation (MAD)41
Skewness4.2117534
Sum23965
Variance5089893
MonotonicityNot monotonic
2023-12-13T00:13:02.494397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
120 4
 
10.5%
45 3
 
7.9%
29 2
 
5.3%
300 2
 
5.3%
28 2
 
5.3%
30 2
 
5.3%
130 2
 
5.3%
100 2
 
5.3%
150 2
 
5.3%
76 2
 
5.3%
Other values (15) 15
39.5%
ValueCountFrequency (%)
18 1
 
2.6%
28 2
5.3%
29 2
5.3%
30 2
5.3%
33 1
 
2.6%
38 1
 
2.6%
39 1
 
2.6%
44 1
 
2.6%
45 3
7.9%
49 1
 
2.6%
ValueCountFrequency (%)
11000 1
 
2.6%
9000 1
 
2.6%
1020 1
 
2.6%
300 2
5.3%
150 2
5.3%
130 2
5.3%
120 4
10.5%
105 1
 
2.6%
100 2
5.3%
76 2
5.3%

설립년도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1986.9737
Minimum1882
Maximum2012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T00:13:02.651961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1882
5-th percentile1883
Q11992.25
median1998.5
Q32005
95-th percentile2010.15
Maximum2012
Range130
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation36.983186
Coefficient of variation (CV)0.018612821
Kurtosis4.5231019
Mean1986.9737
Median Absolute Deviation (MAD)6.5
Skewness-2.4081102
Sum75505
Variance1367.756
MonotonicityNot monotonic
2023-12-13T00:13:02.817038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1998 5
13.2%
2008 4
 
10.5%
2003 3
 
7.9%
2000 2
 
5.3%
1993 2
 
5.3%
1997 2
 
5.3%
1999 2
 
5.3%
1992 2
 
5.3%
1883 2
 
5.3%
2005 2
 
5.3%
Other values (12) 12
31.6%
ValueCountFrequency (%)
1882 1
2.6%
1883 2
5.3%
1887 1
2.6%
1968 1
2.6%
1981 1
2.6%
1983 1
2.6%
1985 1
2.6%
1992 2
5.3%
1993 2
5.3%
1997 2
5.3%
ValueCountFrequency (%)
2012 1
 
2.6%
2011 1
 
2.6%
2010 1
 
2.6%
2009 1
 
2.6%
2008 4
10.5%
2006 1
 
2.6%
2005 2
5.3%
2003 3
7.9%
2002 1
 
2.6%
2000 2
5.3%

소재지
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T00:13:03.119042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length21.157895
Min length17

Characters and Unicode

Total characters804
Distinct characters74
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 애월읍 고내리 1240
2nd row제주특별자치도 제주시 한림중앙로 62
3rd row제주특별자치도 서귀포시 대정읍 영서중로 5-6
4th row제주특별자치도 서귀포시 대정읍 일주서로 2476
5th row제주특별자치도 서귀포시 남원읍 남원로 126
ValueCountFrequency (%)
제주특별자치도 38
24.4%
제주시 33
21.2%
서귀포시 5
 
3.2%
23 3
 
1.9%
중앙로 2
 
1.3%
선덕로 2
 
1.3%
10 2
 
1.3%
대정읍 2
 
1.3%
291-30 2
 
1.3%
연동 2
 
1.3%
Other values (62) 65
41.7%
2023-12-13T00:13:03.608608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
16.7%
주 72
 
9.0%
제 71
 
8.8%
도 41
 
5.1%
1 38
 
4.7%
시 38
 
4.7%
치 38
 
4.7%
자 38
 
4.7%
별 38
 
4.7%
특 38
 
4.7%
Other values (64) 258
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
65.9%
Space Separator 134
 
16.7%
Decimal Number 125
 
15.5%
Dash Punctuation 15
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 72
13.6%
제 71
13.4%
도 41
 
7.7%
시 38
 
7.2%
치 38
 
7.2%
자 38
 
7.2%
별 38
 
7.2%
특 38
 
7.2%
로 24
 
4.5%
길 10
 
1.9%
Other values (52) 122
23.0%
Decimal Number
ValueCountFrequency (%)
1 38
30.4%
2 19
15.2%
9 11
 
8.8%
3 11
 
8.8%
4 10
 
8.0%
0 8
 
6.4%
8 8
 
6.4%
7 7
 
5.6%
6 7
 
5.6%
5 6
 
4.8%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
65.9%
Common 274
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 72
13.6%
제 71
13.4%
도 41
 
7.7%
시 38
 
7.2%
치 38
 
7.2%
자 38
 
7.2%
별 38
 
7.2%
특 38
 
7.2%
로 24
 
4.5%
길 10
 
1.9%
Other values (52) 122
23.0%
Common
ValueCountFrequency (%)
134
48.9%
1 38
 
13.9%
2 19
 
6.9%
- 15
 
5.5%
9 11
 
4.0%
3 11
 
4.0%
4 10
 
3.6%
0 8
 
2.9%
8 8
 
2.9%
7 7
 
2.6%
Other values (2) 13
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
65.9%
ASCII 274
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
48.9%
1 38
 
13.9%
2 19
 
6.9%
- 15
 
5.5%
9 11
 
4.0%
3 11
 
4.0%
4 10
 
3.6%
0 8
 
2.9%
8 8
 
2.9%
7 7
 
2.6%
Other values (2) 13
 
4.7%
Hangul
ValueCountFrequency (%)
주 72
13.6%
제 71
13.4%
도 41
 
7.7%
시 38
 
7.2%
치 38
 
7.2%
자 38
 
7.2%
별 38
 
7.2%
특 38
 
7.2%
로 24
 
4.5%
길 10
 
1.9%
Other values (52) 122
23.0%

연락처
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing13
Missing (%)34.2%
Memory size436.0 B
2023-12-13T00:13:03.825948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row064-799-7777
2nd row064-796-2583
3rd row064-794-7850
4th row064-794-3804
5th row064-764-4800
ValueCountFrequency (%)
064-749-4747 2
 
8.0%
064-796-2583 1
 
4.0%
064-722-3355 1
 
4.0%
064-722-3661 1
 
4.0%
064-722-3752 1
 
4.0%
064-722-7131 1
 
4.0%
064-725-3662 1
 
4.0%
064-726-4467 1
 
4.0%
064-726-4475 1
 
4.0%
064-742-0276 1
 
4.0%
Other values (14) 14
56.0%
2023-12-13T00:13:04.150433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.7%
4 47
15.7%
7 44
14.7%
6 40
13.3%
0 35
11.7%
2 22
7.3%
5 21
7.0%
3 11
 
3.7%
1 11
 
3.7%
8 10
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 47
18.8%
7 44
17.6%
6 40
16.0%
0 35
14.0%
2 22
8.8%
5 21
8.4%
3 11
 
4.4%
1 11
 
4.4%
8 10
 
4.0%
9 9
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.7%
4 47
15.7%
7 44
14.7%
6 40
13.3%
0 35
11.7%
2 22
7.3%
5 21
7.0%
3 11
 
3.7%
1 11
 
3.7%
8 10
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.7%
4 47
15.7%
7 44
14.7%
6 40
13.3%
0 35
11.7%
2 22
7.3%
5 21
7.0%
3 11
 
3.7%
1 11
 
3.7%
8 10
 
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2019-04-30
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-04-30
2nd row2019-04-30
3rd row2019-04-30
4th row2019-04-30
5th row2019-04-30

Common Values

ValueCountFrequency (%)
2019-04-30 38
100.0%

Length

2023-12-13T00:13:04.603866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:04.735046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-04-30 38
100.0%

Interactions

2023-12-13T00:13:01.210800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:01.003374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:01.323452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:01.097283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:13:04.797432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭회원수설립년도소재지연락처
명칭1.0001.0001.0001.0001.000
회원수1.0001.0000.5491.000NaN
설립년도1.0000.5491.0001.0000.918
소재지1.0001.0001.0001.0001.000
연락처1.000NaN0.9181.0001.000
2023-12-13T00:13:04.899150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원수설립년도
회원수1.000-0.699
설립년도-0.6991.000

Missing values

2023-12-13T00:13:01.468556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:13:01.589040image/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

명칭회원수설립년도소재지연락처데이터기준일자
0제주샛별라이온즈292008제주특별자치도 제주시 애월읍 고내리 1240064-799-77772019-04-30
1제주한마음클럽652010제주특별자치도 제주시 한림중앙로 62064-796-25832019-04-30
2최남단 로타리클럽762005제주특별자치도 서귀포시 대정읍 영서중로 5-6064-794-78502019-04-30
3제주송악라이온즈762003제주특별자치도 서귀포시 대정읍 일주서로 2476064-794-38042019-04-30
4제주물팡 로타리클럽332011제주특별자치도 서귀포시 남원읍 남원로 126064-764-48002019-04-30
5한국플라워디자인협회 제주도지부(라일락꽃꽂이협회중앙회)1501882제주특별자치도 제주시 남성로 161064-758-87872019-04-30
6(사)색동회제주지회1001998제주특별자치도 제주시 서사로 167-2064-758-05972019-04-30
7한국꽃꽂이협회늘봄회3001883제주특별자치도 제주시 중앙로14길 7-1064-757-14642019-04-30
8참사랑실천학부모회 제주지부1202000제주특별자치도 제주시 도남로 13064-756-01502019-04-30
9대한영양사회제주지부1301887제주특별자치도 제주시 아라동 산1064-754-35572019-04-30
명칭회원수설립년도소재지연락처데이터기준일자
28천주교제주교구 카톨릭여성연합회90001983제주특별자치도 제주시 귀아랑1길31<NA>2019-04-30
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