Overview

Dataset statistics

Number of variables4
Number of observations38
Missing cells7
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory36.5 B

Variable types

Text3
Numeric1

Dataset

Description대구광역시 관내 여성단체협의회 관련 데이터로 소속 기관+단체명과 대표자 이름과 연락처 정보 및 회원수 관련 자료입니다
Author대구광역시
URLhttps://www.data.go.kr/data/15052609/fileData.do

Alerts

연락처 has 7 (18.4%) missing valuesMissing
소속 has unique valuesUnique
성명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:47:42.848749
Analysis finished2023-12-12 18:47:43.596316
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소속
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T03:47:43.834658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length14.684211
Min length6

Characters and Unicode

Total characters558
Distinct characters119
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 row(사)대한어머니회 대구광역시연합회
2nd row한국자유총연맹 대구광역시여성협의회
3rd row(사)한중여성교류협회 대구광역시지회
4th row(사)고향생각주부모임 대구광역시지회
5th row(사)소비자교육중앙회 대구광역시지부
ValueCountFrequency (%)
대구광역시지회 4
 
6.7%
대구광역시지부 4
 
6.7%
대구광역시연합회 2
 
3.3%
사)대한어머니회 1
 
1.7%
신나는봉사대 1
 
1.7%
사)대한영양사협회 1
 
1.7%
대구경북영양사회 1
 
1.7%
대한적십자사봉사회 1
 
1.7%
대구광역시지사협의회 1
 
1.7%
사)대한조산협회대구·경북조산사회 1
 
1.7%
Other values (43) 43
71.7%
2023-12-13T03:47:44.487715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
8.6%
37
 
6.6%
35
 
6.3%
34
 
6.1%
23
 
4.1%
22
 
3.9%
( 21
 
3.8%
) 21
 
3.8%
19
 
3.4%
18
 
3.2%
Other values (109) 280
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
87.1%
Space Separator 23
 
4.1%
Open Punctuation 21
 
3.8%
Close Punctuation 21
 
3.8%
Decimal Number 4
 
0.7%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
9.9%
37
 
7.6%
35
 
7.2%
34
 
7.0%
22
 
4.5%
19
 
3.9%
18
 
3.7%
17
 
3.5%
17
 
3.5%
16
 
3.3%
Other values (101) 223
45.9%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
7 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
87.1%
Common 72
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
9.9%
37
 
7.6%
35
 
7.2%
34
 
7.0%
22
 
4.5%
19
 
3.9%
18
 
3.7%
17
 
3.5%
17
 
3.5%
16
 
3.3%
Other values (101) 223
45.9%
Common
ValueCountFrequency (%)
23
31.9%
( 21
29.2%
) 21
29.2%
0 2
 
2.8%
· 2
 
2.8%
. 1
 
1.4%
7 1
 
1.4%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
87.1%
ASCII 70
 
12.5%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
48
 
9.9%
37
 
7.6%
35
 
7.2%
34
 
7.0%
22
 
4.5%
19
 
3.9%
18
 
3.7%
17
 
3.5%
17
 
3.5%
16
 
3.3%
Other values (101) 223
45.9%
ASCII
ValueCountFrequency (%)
23
32.9%
( 21
30.0%
) 21
30.0%
0 2
 
2.9%
. 1
 
1.4%
7 1
 
1.4%
3 1
 
1.4%
None
ValueCountFrequency (%)
· 2
100.0%

성명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T03:47:44.865366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters114
Distinct characters53
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

Unique38 ?
Unique (%)100.0%

Sample

1st row신정옥
2nd row구순천
3rd row이경임
4th row황혜선
5th row최현숙
ValueCountFrequency (%)
신정옥 1
 
2.6%
이순옥 1
 
2.6%
진양선 1
 
2.6%
최은정 1
 
2.6%
윤영희 1
 
2.6%
한명아 1
 
2.6%
정미경 1
 
2.6%
오미정 1
 
2.6%
윤희순 1
 
2.6%
김남현 1
 
2.6%
Other values (28) 28
73.7%
2023-12-13T03:47:45.498398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
7.9%
8
 
7.0%
8
 
7.0%
7
 
6.1%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
3
 
2.6%
Other values (43) 56
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
7.9%
8
 
7.0%
8
 
7.0%
7
 
6.1%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
3
 
2.6%
Other values (43) 56
49.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
7.9%
8
 
7.0%
8
 
7.0%
7
 
6.1%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
3
 
2.6%
Other values (43) 56
49.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9
 
7.9%
8
 
7.0%
8
 
7.0%
7
 
6.1%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
3
 
2.6%
Other values (43) 56
49.1%

연락처
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing7
Missing (%)18.4%
Memory size436.0 B
2023-12-13T03:47:45.869810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length25
Min length12

Characters and Unicode

Total characters775
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row053-425-6074
2nd row053-621-9880,053-622-9803
3rd row053-742-2640,053-742-2642
4th row053-760-3020 ,053-760-3039
5th row053-424-7262, 053-424-7261
ValueCountFrequency (%)
2
 
5.0%
053-287-5333 2
 
5.0%
053-257-6966,053-257-6967 1
 
2.5%
053-521-4541,053-522-4543 1
 
2.5%
053-217-0382,053-241-1116 1
 
2.5%
053-756-8485,053-756-7537 1
 
2.5%
053-764-1202,053-761-2398 1
 
2.5%
053-563-6066,053-563-6466 1
 
2.5%
053-550-7116,053-573-2462 1
 
2.5%
053-765-4668 1
 
2.5%
Other values (28) 28
70.0%
2023-12-13T03:47:46.434147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
15.5%
5 105
13.5%
3 99
12.8%
0 90
11.6%
6 74
9.5%
2 65
8.4%
4 50
6.5%
7 40
 
5.2%
, 28
 
3.6%
9 28
 
3.6%
Other values (3) 76
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
77.4%
Dash Punctuation 120
 
15.5%
Other Punctuation 28
 
3.6%
Space Separator 27
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 105
17.5%
3 99
16.5%
0 90
15.0%
6 74
12.3%
2 65
10.8%
4 50
8.3%
7 40
 
6.7%
9 28
 
4.7%
1 26
 
4.3%
8 23
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 775
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
15.5%
5 105
13.5%
3 99
12.8%
0 90
11.6%
6 74
9.5%
2 65
8.4%
4 50
6.5%
7 40
 
5.2%
, 28
 
3.6%
9 28
 
3.6%
Other values (3) 76
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
15.5%
5 105
13.5%
3 99
12.8%
0 90
11.6%
6 74
9.5%
2 65
8.4%
4 50
6.5%
7 40
 
5.2%
, 28
 
3.6%
9 28
 
3.6%
Other values (3) 76
9.8%

회원수
Real number (ℝ)

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2989.4211
Minimum20
Maximum28890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T03:47:46.622819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile33.95
Q1135
median575
Q33768.75
95-th percentile11331.85
Maximum28890
Range28870
Interquartile range (IQR)3633.75

Descriptive statistics

Standard deviation5789.3686
Coefficient of variation (CV)1.9366187
Kurtosis11.898514
Mean2989.4211
Median Absolute Deviation (MAD)518.5
Skewness3.2690141
Sum113598
Variance33516789
MonotonicityNot monotonic
2023-12-13T03:47:46.832561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
100 3
 
7.9%
400 2
 
5.3%
200 2
 
5.3%
35 2
 
5.3%
1000 2
 
5.3%
5000 2
 
5.3%
4025 1
 
2.6%
6064 1
 
2.6%
3000 1
 
2.6%
5804 1
 
2.6%
Other values (21) 21
55.3%
ValueCountFrequency (%)
20 1
 
2.6%
28 1
 
2.6%
35 2
5.3%
50 1
 
2.6%
64 1
 
2.6%
100 3
7.9%
120 1
 
2.6%
180 1
 
2.6%
200 2
5.3%
337 1
 
2.6%
ValueCountFrequency (%)
28890 1
2.6%
19882 1
2.6%
9823 1
2.6%
7472 1
2.6%
6400 1
2.6%
6064 1
2.6%
5804 1
2.6%
5000 2
5.3%
4025 1
2.6%
3000 1
2.6%

Interactions

2023-12-13T03:47:43.177595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:47:46.993969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소속성명연락처회원수
소속1.0001.0001.0001.000
성명1.0001.0001.0001.000
연락처1.0001.0001.0001.000
회원수1.0001.0001.0001.000

Missing values

2023-12-13T03:47:43.383836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:47:43.538559image/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

소속성명연락처회원수
0(사)대한어머니회 대구광역시연합회신정옥053-425-6074550
1한국자유총연맹 대구광역시여성협의회구순천053-621-9880,053-622-980319882
2(사)한중여성교류협회 대구광역시지회이경임053-742-2640,053-742-2642120
3(사)고향생각주부모임 대구광역시지회황혜선053-760-3020 ,053-760-303928890
4(사)소비자교육중앙회 대구광역시지부최현숙053-424-7262, 053-424-72611200
5동구여성단체협의회윤해진053-662-4082, 053-662-25491000
6(사)한국생활개선 대구광역시연합회이영옥053-980-3830 , 053-982-9820600
7수성구여성단체협의회박영선053-666-2532,053-666-25595000
8서구여성단체협의회강희자053-663-2544 , 053-663-25591176
9(사)여성중앙회 대구광역시지부권경희053-256-9932,053-742-9968400
소속성명연락처회원수
28(사)선덕여왕숭모회조용시053-287-5333 ,053-287-533350
29신나는봉사대김남현<NA>100
30(사)일하는여성연합회김성수053-740-7708 053-740-771064
31중구여성단체협의회김경희053-661-2533,053-661-2539337
32(사)한국부인회 대구광역시지부이정순053-429-6150,053-476-9008400
33(사)한국여성유권자 대구연맹전말순053-431-1155,053-422-9482200
34(사)한국여학사협회 대구지부회유순남<NA>35
35(사)한국푸드코디네이터 대구지부이나희<NA>20
36국제여성총연맹 대구광역시지회진양선<NA>100
37(사)한국피부미용사회중앙회 대구광역시지회최외숙<NA>200