Overview

Dataset statistics

Number of variables3
Number of observations149
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory24.9 B

Variable types

Text3

Dataset

Description보훈공법단체 23년11월현황 요청 자료로 전국 보훈단체 제공 파악 후 지(방)청 제공 가능 단체 현황 수집 제공 현황 파악 제공 이후 단체 이사 등 으로 변경 가능성이 있어 현재 이후 자료는 국가보훈부 누리집(홈페이지) 국가보훈부소개 -> 관련누리집 -> 해당 단체에서 확인 필요
Author국가보훈부
URLhttps://www.data.go.kr/data/15125020/fileData.do

Alerts

단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:48:10.926090
Analysis finished2023-12-12 14:48:11.319352
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:48:11.554119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length16.442953
Min length3

Characters and Unicode

Total characters2450
Distinct characters78
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)100.0%

Sample

1st row광복회
2nd row대한민국상이군경회
3rd row대한민국전몰군경유족회
4th row대한민국전몰군경미망인회
5th row재일학도의용군동지회
ValueCountFrequency (%)
대한민국고엽제전우회 13
 
5.6%
대한민국전몰군경미망인회 11
 
4.7%
대한민국무공수훈자회 11
 
4.7%
대한민국상이군경회 11
 
4.7%
광복회 10
 
4.3%
재향군인회 10
 
4.3%
경상남도지부 9
 
3.9%
서울특별시지부 9
 
3.9%
경기도지부 8
 
3.4%
광주광역시지부 7
 
3.0%
Other values (96) 134
57.5%
2023-12-12T23:48:12.055334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
6.1%
140
 
5.7%
122
 
5.0%
117
 
4.8%
112
 
4.6%
98
 
4.0%
97
 
4.0%
97
 
4.0%
85
 
3.5%
84
 
3.4%
Other values (68) 1349
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2192
89.5%
Decimal Number 126
 
5.1%
Space Separator 84
 
3.4%
Other Punctuation 48
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
149
 
6.8%
140
 
6.4%
122
 
5.6%
117
 
5.3%
112
 
5.1%
98
 
4.5%
97
 
4.4%
97
 
4.4%
85
 
3.9%
75
 
3.4%
Other values (57) 1100
50.2%
Decimal Number
ValueCountFrequency (%)
1 29
23.0%
5 28
22.2%
8 15
11.9%
9 14
11.1%
4 14
11.1%
2 13
10.3%
6 13
10.3%
Other Punctuation
ValueCountFrequency (%)
? 20
41.7%
. 17
35.4%
· 11
22.9%
Space Separator
ValueCountFrequency (%)
84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2192
89.5%
Common 258
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
149
 
6.8%
140
 
6.4%
122
 
5.6%
117
 
5.3%
112
 
5.1%
98
 
4.5%
97
 
4.4%
97
 
4.4%
85
 
3.9%
75
 
3.4%
Other values (57) 1100
50.2%
Common
ValueCountFrequency (%)
84
32.6%
1 29
 
11.2%
5 28
 
10.9%
? 20
 
7.8%
. 17
 
6.6%
8 15
 
5.8%
9 14
 
5.4%
4 14
 
5.4%
2 13
 
5.0%
6 13
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2192
89.5%
ASCII 247
 
10.1%
None 11
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
149
 
6.8%
140
 
6.4%
122
 
5.6%
117
 
5.3%
112
 
5.1%
98
 
4.5%
97
 
4.4%
97
 
4.4%
85
 
3.9%
75
 
3.4%
Other values (57) 1100
50.2%
ASCII
ValueCountFrequency (%)
84
34.0%
1 29
 
11.7%
5 28
 
11.3%
? 20
 
8.1%
. 17
 
6.9%
8 15
 
6.1%
9 14
 
5.7%
4 14
 
5.7%
2 13
 
5.3%
6 13
 
5.3%
None
ValueCountFrequency (%)
· 11
100.0%
Distinct86
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:48:12.417763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length25.288591
Min length10

Characters and Unicode

Total characters3768
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)40.3%

Sample

1st row영등포구 국회대로 62길 15 광복회관 4층
2nd row영등포구 국회대로 76길 33 중앙보훈회관
3rd row영등포구 국회대로 76길 33 중앙보훈회관
4th row영등포구 국회대로 76길 33 중앙보훈회관
5th row영등포구 국회대로 76길 33 중앙보훈회관
ValueCountFrequency (%)
보훈회관 22
 
2.8%
서구 21
 
2.7%
광주광역시 19
 
2.4%
2층 16
 
2.0%
3층 15
 
1.9%
동구 14
 
1.8%
중구 14
 
1.8%
서울시 14
 
1.8%
경기도 14
 
1.8%
수원시 14
 
1.8%
Other values (225) 619
79.2%
2023-12-12T23:48:12.986749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
633
 
16.8%
141
 
3.7%
136
 
3.6%
125
 
3.3%
1 124
 
3.3%
110
 
2.9%
97
 
2.6%
2 94
 
2.5%
3 88
 
2.3%
83
 
2.2%
Other values (163) 2137
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2288
60.7%
Decimal Number 647
 
17.2%
Space Separator 633
 
16.8%
Open Punctuation 72
 
1.9%
Close Punctuation 72
 
1.9%
Dash Punctuation 28
 
0.7%
Math Symbol 15
 
0.4%
Uppercase Letter 10
 
0.3%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
141
 
6.2%
136
 
5.9%
125
 
5.5%
110
 
4.8%
97
 
4.2%
83
 
3.6%
82
 
3.6%
79
 
3.5%
78
 
3.4%
72
 
3.1%
Other values (145) 1285
56.2%
Decimal Number
ValueCountFrequency (%)
1 124
19.2%
2 94
14.5%
3 88
13.6%
5 70
10.8%
4 64
9.9%
9 47
 
7.3%
6 45
 
7.0%
0 41
 
6.3%
8 40
 
6.2%
7 34
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
90.0%
A 1
 
10.0%
Space Separator
ValueCountFrequency (%)
633
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2288
60.7%
Common 1470
39.0%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
141
 
6.2%
136
 
5.9%
125
 
5.5%
110
 
4.8%
97
 
4.2%
83
 
3.6%
82
 
3.6%
79
 
3.5%
78
 
3.4%
72
 
3.1%
Other values (145) 1285
56.2%
Common
ValueCountFrequency (%)
633
43.1%
1 124
 
8.4%
2 94
 
6.4%
3 88
 
6.0%
( 72
 
4.9%
) 72
 
4.9%
5 70
 
4.8%
4 64
 
4.4%
9 47
 
3.2%
6 45
 
3.1%
Other values (6) 161
 
11.0%
Latin
ValueCountFrequency (%)
B 9
90.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2288
60.7%
ASCII 1480
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
633
42.8%
1 124
 
8.4%
2 94
 
6.4%
3 88
 
5.9%
( 72
 
4.9%
) 72
 
4.9%
5 70
 
4.7%
4 64
 
4.3%
9 47
 
3.2%
6 45
 
3.0%
Other values (8) 171
 
11.6%
Hangul
ValueCountFrequency (%)
141
 
6.2%
136
 
5.9%
125
 
5.5%
110
 
4.8%
97
 
4.2%
83
 
3.6%
82
 
3.6%
79
 
3.5%
78
 
3.4%
72
 
3.1%
Other values (145) 1285
56.2%
Distinct146
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:48:13.405497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.892617
Min length11

Characters and Unicode

Total characters1772
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)96.0%

Sample

1st row02-780-9661
2nd row02-769-9696
3rd row02-782-2047
4th row02-782-2862
5th row02-782-2475
ValueCountFrequency (%)
062-383-5181 2
 
1.3%
062-383-5180 2
 
1.3%
062-383-1518 2
 
1.3%
061-273-9988 1
 
0.7%
042-523-0718 1
 
0.7%
042-581-3253 1
 
0.7%
043-273-8150 1
 
0.7%
02-780-9661 1
 
0.7%
042-253-8270 1
 
0.7%
042-586-8240 1
 
0.7%
Other values (136) 136
91.3%
2023-12-12T23:48:13.994666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 298
16.8%
0 250
14.1%
2 244
13.8%
5 190
10.7%
1 151
8.5%
3 141
8.0%
4 130
7.3%
6 119
 
6.7%
8 106
 
6.0%
7 72
 
4.1%
Other values (4) 71
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1468
82.8%
Dash Punctuation 298
 
16.8%
Math Symbol 5
 
0.3%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250
17.0%
2 244
16.6%
5 190
12.9%
1 151
10.3%
3 141
9.6%
4 130
8.9%
6 119
8.1%
8 106
7.2%
7 72
 
4.9%
9 65
 
4.4%
Math Symbol
ValueCountFrequency (%)
4
80.0%
~ 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1772
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 298
16.8%
0 250
14.1%
2 244
13.8%
5 190
10.7%
1 151
8.5%
3 141
8.0%
4 130
7.3%
6 119
 
6.7%
8 106
 
6.0%
7 72
 
4.1%
Other values (4) 71
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1768
99.8%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 298
16.9%
0 250
14.1%
2 244
13.8%
5 190
10.7%
1 151
8.5%
3 141
8.0%
4 130
7.4%
6 119
 
6.7%
8 106
 
6.0%
7 72
 
4.1%
Other values (3) 67
 
3.8%
None
ValueCountFrequency (%)
4
100.0%

Missing values

2023-12-12T23:48:11.180718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:48:11.271693image/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

단체명소재지연락처
0광복회영등포구 국회대로 62길 15 광복회관 4층02-780-9661
1대한민국상이군경회영등포구 국회대로 76길 33 중앙보훈회관02-769-9696
2대한민국전몰군경유족회영등포구 국회대로 76길 33 중앙보훈회관02-782-2047
3대한민국전몰군경미망인회영등포구 국회대로 76길 33 중앙보훈회관02-782-2862
4재일학도의용군동지회영등포구 국회대로 76길 33 중앙보훈회관02-782-2475
5대한민국무공수훈자회강서구 강서로 56가길 45 호국보훈회관(6~8층)02-790-9654
64·19민주혁명회종로구 새문안로 17 (4.19도서관내)02-730-0419
74·19혁명희생자유족회종로구 새문안로 17 (4.19도서관내)02-738-7337
84·19혁명공로자회종로구 새문안로 17 (4.19도서관내)02-735-1419
9대한민국특수임무유공자회강동구 천중로 206 호국영웅보훈회관 6층070-8740-1606
단체명소재지연락처
139대한민국전몰군경유족회전라남도지부목포시 정의로 12-3 (옥암동-보훈회관 1~4층)061-284-2957
140대한민국전몰군경미망인회 전라남도지부목포시 정의로 12-3 (옥암동-보훈회관 1~4층)061-284-2956
141대한민국무공수훈자회 전라남도지부목포시 정의로 12-3 (옥암동-보훈회관 1~4층)061-285-6391~3
142대한민국고엽제전우회 전라남도지부목포시 정의로 12-3 (옥암동-보훈회관 1~4층)061-287-0230~1
143대한민국특수임무유공자회전라남도지부목포시 정의로 12-3 (옥암동-보훈회관 1~4층)061-281-4771
144대한민국6?25참전유공자회전라남도지부목포시 정의로 12-3 (옥암동-보훈회관 1~4층)061-247-0624~5
145대한민국월남전참전자회전라남도지부목포시 정의로 12-3 (옥암동-보훈회관 1~4층)061-273-9988
1465.18민주화운동부상자회호남지부무안군 삼향읍 대죽서로 17 성현프라자 503호061-287-0518
1475.18민주유공자유족회 전라남도지부무안군 삼향읍 오룡3길 14 한국스카우트연맹 202호061-282-0518
1485.18민주화운동공로자회전라남도지부무안군 삼향읍 대죽서로 17 성현프라자 501호061-287-5180