Overview

Dataset statistics

Number of variables7
Number of observations81
Missing cells10
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory57.6 B

Variable types

Categorical1
Text5
DateTime1

Dataset

Description대구광역시_청소년단체_20200531
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15047955&dataSetDetailId=150479552b561bcac1538&provdMethod=FILE

Alerts

설립년월일 has 1 (1.2%) missing valuesMissing
전화번호 has 9 (11.1%) missing valuesMissing

Reproduction

Analysis started2024-04-18 08:00:09.276252
Analysis finished2024-04-18 08:00:10.544729
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size780.0 B
비영리민간단체
37 
사단법인
21 
중앙부처 허가 법인
20 
재단법인
 
3

Length

Max length10
Median length7
Mean length6.8518519
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사단법인
2nd row재단법인
3rd row재단법인
4th row사단법인
5th row사단법인

Common Values

ValueCountFrequency (%)
비영리민간단체 37
45.7%
사단법인 21
25.9%
중앙부처 허가 법인 20
24.7%
재단법인 3
 
3.7%

Length

2024-04-18T17:00:10.612023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T17:00:10.722989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비영리민간단체 37
30.6%
사단법인 21
17.4%
중앙부처 20
16.5%
허가 20
16.5%
법인 20
16.5%
재단법인 3
 
2.5%

법인명
Text

Distinct75
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-18T17:00:10.926160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length10.160494
Min length2

Characters and Unicode

Total characters823
Distinct characters183
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)85.2%

Sample

1st row청소년교육센터
2nd row대구가톨릭청소년회
3rd row북구청소년회관
4th row청소년을사랑하는 사람들
5th row청소년밝은세상
ValueCountFrequency (%)
사람들 4
 
4.1%
대구파라미타청소년협회 2
 
2.0%
대구ywca 2
 
2.0%
청소년교육문화 2
 
2.0%
공동체반딧불이 2
 
2.0%
한국해양소년단대구연맹 2
 
2.0%
청소년을사랑하는 2
 
2.0%
대구ymca 2
 
2.0%
대경청소년약물상담센터 1
 
1.0%
범죄예방수성지구협의회 1
 
1.0%
Other values (78) 78
79.6%
2024-04-18T17:00:11.247264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 53
 
6.4%
년 49
 
6.0%
청 48
 
5.8%
구 44
 
5.3%
대 41
 
5.0%
회 20
 
2.4%
지 18
 
2.2%
사 17
 
2.1%
17
 
2.1%
한 17
 
2.1%
Other values (173) 499
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 768
93.3%
Uppercase Letter 29
 
3.5%
Space Separator 17
 
2.1%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%
Decimal Number 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 53
 
6.9%
년 49
 
6.4%
청 48
 
6.2%
구 44
 
5.7%
대 41
 
5.3%
회 20
 
2.6%
지 18
 
2.3%
사 17
 
2.2%
한 17
 
2.2%
국 17
 
2.2%
Other values (154) 444
57.8%
Uppercase Letter
ValueCountFrequency (%)
Y 6
20.7%
C 5
17.2%
A 4
13.8%
B 3
10.3%
S 2
 
6.9%
M 2
 
6.9%
W 2
 
6.9%
H 1
 
3.4%
F 1
 
3.4%
I 1
 
3.4%
Other values (2) 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 768
93.3%
Latin 31
 
3.8%
Common 24
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 53
 
6.9%
년 49
 
6.4%
청 48
 
6.2%
구 44
 
5.7%
대 41
 
5.3%
회 20
 
2.6%
지 18
 
2.3%
사 17
 
2.2%
한 17
 
2.2%
국 17
 
2.2%
Other values (154) 444
57.8%
Latin
ValueCountFrequency (%)
Y 6
19.4%
C 5
16.1%
A 4
12.9%
B 3
9.7%
S 2
 
6.5%
M 2
 
6.5%
o 2
 
6.5%
W 2
 
6.5%
H 1
 
3.2%
F 1
 
3.2%
Other values (3) 3
9.7%
Common
ValueCountFrequency (%)
17
70.8%
) 2
 
8.3%
( 2
 
8.3%
1 1
 
4.2%
2 1
 
4.2%
& 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 768
93.3%
ASCII 55
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 53
 
6.9%
년 49
 
6.4%
청 48
 
6.2%
구 44
 
5.7%
대 41
 
5.3%
회 20
 
2.6%
지 18
 
2.3%
사 17
 
2.2%
한 17
 
2.2%
국 17
 
2.2%
Other values (154) 444
57.8%
ASCII
ValueCountFrequency (%)
17
30.9%
Y 6
 
10.9%
C 5
 
9.1%
A 4
 
7.3%
B 3
 
5.5%
) 2
 
3.6%
S 2
 
3.6%
( 2
 
3.6%
M 2
 
3.6%
o 2
 
3.6%
Other values (9) 10
18.2%

대표자
Text

Distinct75
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-18T17:00:11.497283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.037037
Min length2

Characters and Unicode

Total characters246
Distinct characters98
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)85.2%

Sample

1st row배동열
2nd row장신호
3rd row김철섭
4th row양병림
5th row박노진
ValueCountFrequency (%)
배동열 2
 
2.4%
최재훈 2
 
2.4%
김형섭 2
 
2.4%
박신호 2
 
2.4%
여동영 2
 
2.4%
최정숙 2
 
2.4%
송선용 1
 
1.2%
노영하 1
 
1.2%
정태화 1
 
1.2%
이갑 1
 
1.2%
Other values (67) 67
80.7%
2024-04-18T17:00:11.854686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 10
 
4.1%
최 9
 
3.7%
정 9
 
3.7%
김 9
 
3.7%
호 9
 
3.7%
이 8
 
3.3%
상 7
 
2.8%
동 7
 
2.8%
성 6
 
2.4%
진 5
 
2.0%
Other values (88) 167
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
98.8%
Space Separator 2
 
0.8%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 10
 
4.1%
최 9
 
3.7%
정 9
 
3.7%
김 9
 
3.7%
호 9
 
3.7%
이 8
 
3.3%
상 7
 
2.9%
동 7
 
2.9%
성 6
 
2.5%
진 5
 
2.1%
Other values (86) 164
67.5%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
98.8%
Common 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 10
 
4.1%
최 9
 
3.7%
정 9
 
3.7%
김 9
 
3.7%
호 9
 
3.7%
이 8
 
3.3%
상 7
 
2.9%
동 7
 
2.9%
성 6
 
2.5%
진 5
 
2.1%
Other values (86) 164
67.5%
Common
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
98.8%
ASCII 3
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 10
 
4.1%
최 9
 
3.7%
정 9
 
3.7%
김 9
 
3.7%
호 9
 
3.7%
이 8
 
3.3%
상 7
 
2.9%
동 7
 
2.9%
성 6
 
2.5%
진 5
 
2.1%
Other values (86) 164
67.5%
ASCII
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

설립년월일
Date

MISSING 

Distinct67
Distinct (%)83.8%
Missing1
Missing (%)1.2%
Memory size780.0 B
Minimum1953-04-05 00:00:00
Maximum2023-04-21 00:00:00
2024-04-18T17:00:11.996697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T17:00:12.122268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소
Text

Distinct77
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-18T17:00:12.407758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length13.592593
Min length9

Characters and Unicode

Total characters1101
Distinct characters107
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)90.1%

Sample

1st row수성구 지산로 41
2nd row중구 남산로4길 112
3rd row북구 검단로 71-17
4th row달서구 상원로 46, 3층
5th row북구 칠성로 79, 2층
ValueCountFrequency (%)
수성구 18
 
7.3%
남구 15
 
6.0%
중구 13
 
5.2%
달서구 11
 
4.4%
북구 8
 
3.2%
중앙대로 5
 
2.0%
달구벌대로 4
 
1.6%
서구 4
 
1.6%
2층 4
 
1.6%
동구 4
 
1.6%
Other values (142) 162
65.3%
2024-04-18T17:00:12.807434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
 
15.2%
구 86
 
7.8%
2 67
 
6.1%
로 64
 
5.8%
1 63
 
5.7%
4 37
 
3.4%
0 33
 
3.0%
3 29
 
2.6%
7 26
 
2.4%
성 26
 
2.4%
Other values (97) 503
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 562
51.0%
Decimal Number 324
29.4%
Space Separator 167
 
15.2%
Dash Punctuation 19
 
1.7%
Other Punctuation 13
 
1.2%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 86
 
15.3%
로 64
 
11.4%
성 26
 
4.6%
대 26
 
4.6%
서 25
 
4.4%
동 23
 
4.1%
달 22
 
3.9%
길 22
 
3.9%
중 21
 
3.7%
남 21
 
3.7%
Other values (81) 226
40.2%
Decimal Number
ValueCountFrequency (%)
2 67
20.7%
1 63
19.4%
4 37
11.4%
0 33
10.2%
3 29
9.0%
7 26
 
8.0%
8 20
 
6.2%
9 17
 
5.2%
6 17
 
5.2%
5 15
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 562
51.0%
Common 539
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 86
 
15.3%
로 64
 
11.4%
성 26
 
4.6%
대 26
 
4.6%
서 25
 
4.4%
동 23
 
4.1%
달 22
 
3.9%
길 22
 
3.9%
중 21
 
3.7%
남 21
 
3.7%
Other values (81) 226
40.2%
Common
ValueCountFrequency (%)
167
31.0%
2 67
12.4%
1 63
 
11.7%
4 37
 
6.9%
0 33
 
6.1%
3 29
 
5.4%
7 26
 
4.8%
8 20
 
3.7%
- 19
 
3.5%
9 17
 
3.2%
Other values (6) 61
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 562
51.0%
ASCII 539
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
31.0%
2 67
12.4%
1 63
 
11.7%
4 37
 
6.9%
0 33
 
6.1%
3 29
 
5.4%
7 26
 
4.8%
8 20
 
3.7%
- 19
 
3.5%
9 17
 
3.2%
Other values (6) 61
 
11.3%
Hangul
ValueCountFrequency (%)
구 86
 
15.3%
로 64
 
11.4%
성 26
 
4.6%
대 26
 
4.6%
서 25
 
4.4%
동 23
 
4.1%
달 22
 
3.9%
길 22
 
3.9%
중 21
 
3.7%
남 21
 
3.7%
Other values (81) 226
40.2%

전화번호
Text

MISSING 

Distinct64
Distinct (%)88.9%
Missing9
Missing (%)11.1%
Memory size780.0 B
2024-04-18T17:00:13.073986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013889
Min length12

Characters and Unicode

Total characters865
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

Unique56 ?
Unique (%)77.8%

Sample

1st row053-783-8006
2nd row053-250-3069
3rd row053-665-2191
4th row053-631-0404
5th row053-311-7942
ValueCountFrequency (%)
053-425-8420 2
 
2.8%
053-652-0070 2
 
2.8%
053-255-0218 2
 
2.8%
053-627-9693 2
 
2.8%
053-665-2191 2
 
2.8%
053-421-1318 2
 
2.8%
053-783-8006 2
 
2.8%
053-652-2833 2
 
2.8%
053-652-5300 1
 
1.4%
053-552-4628 1
 
1.4%
Other values (54) 54
75.0%
2024-04-18T17:00:13.431575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 144
16.6%
0 128
14.8%
5 126
14.6%
3 121
14.0%
2 78
9.0%
1 61
7.1%
6 54
 
6.2%
4 43
 
5.0%
7 43
 
5.0%
9 35
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 721
83.4%
Dash Punctuation 144
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 128
17.8%
5 126
17.5%
3 121
16.8%
2 78
10.8%
1 61
8.5%
6 54
7.5%
4 43
 
6.0%
7 43
 
6.0%
9 35
 
4.9%
8 32
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 144
16.6%
0 128
14.8%
5 126
14.6%
3 121
14.0%
2 78
9.0%
1 61
7.1%
6 54
 
6.2%
4 43
 
5.0%
7 43
 
5.0%
9 35
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 865
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 144
16.6%
0 128
14.8%
5 126
14.6%
3 121
14.0%
2 78
9.0%
1 61
7.1%
6 54
 
6.2%
4 43
 
5.0%
7 43
 
5.0%
9 35
 
4.0%

설 립 목 적
Text

Distinct75
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-18T17:00:13.697256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length20.469136
Min length9

Characters and Unicode

Total characters1658
Distinct characters206
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

Unique69 ?
Unique (%)85.2%

Sample

1st row청소년들의 바른 인격형성, 인력양성 등
2nd row청소년들의 정신적,신체적 건전한 성장
3rd row청소년들의 건전 육성지원
4th row청소년건전육성정책수립 및 건전육성 지원
5th row청소년 금연.금주
ValueCountFrequency (%)
및 28
 
7.7%
청소년 27
 
7.4%
위한 10
 
2.8%
등 8
 
2.2%
지원 5
 
1.4%
청소년들의 4
 
1.1%
건전한 4
 
1.1%
상담 4
 
1.1%
사업 4
 
1.1%
통한 4
 
1.1%
Other values (213) 265
73.0%
2024-04-18T17:00:14.094627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
 
17.0%
소 77
 
4.6%
청 73
 
4.4%
년 73
 
4.4%
사 36
 
2.2%
동 36
 
2.2%
성 34
 
2.1%
업 32
 
1.9%
육 32
 
1.9%
및 32
 
1.9%
Other values (196) 951
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1341
80.9%
Space Separator 282
 
17.0%
Other Punctuation 28
 
1.7%
Decimal Number 5
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 77
 
5.7%
청 73
 
5.4%
년 73
 
5.4%
사 36
 
2.7%
동 36
 
2.7%
성 34
 
2.5%
업 32
 
2.4%
육 32
 
2.4%
및 32
 
2.4%
활 29
 
2.2%
Other values (186) 887
66.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
6 1
20.0%
3 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 22
78.6%
. 4
 
14.3%
· 2
 
7.1%
Space Separator
ValueCountFrequency (%)
282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1341
80.9%
Common 317
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 77
 
5.7%
청 73
 
5.4%
년 73
 
5.4%
사 36
 
2.7%
동 36
 
2.7%
성 34
 
2.5%
업 32
 
2.4%
육 32
 
2.4%
및 32
 
2.4%
활 29
 
2.2%
Other values (186) 887
66.1%
Common
ValueCountFrequency (%)
282
89.0%
, 22
 
6.9%
. 4
 
1.3%
· 2
 
0.6%
1 2
 
0.6%
2 1
 
0.3%
) 1
 
0.3%
6 1
 
0.3%
3 1
 
0.3%
( 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1341
80.9%
ASCII 315
 
19.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
89.5%
, 22
 
7.0%
. 4
 
1.3%
1 2
 
0.6%
2 1
 
0.3%
) 1
 
0.3%
6 1
 
0.3%
3 1
 
0.3%
( 1
 
0.3%
Hangul
ValueCountFrequency (%)
소 77
 
5.7%
청 73
 
5.4%
년 73
 
5.4%
사 36
 
2.7%
동 36
 
2.7%
성 34
 
2.5%
업 32
 
2.4%
육 32
 
2.4%
및 32
 
2.4%
활 29
 
2.2%
Other values (186) 887
66.1%
None
ValueCountFrequency (%)
· 2
100.0%

Correlations

2024-04-18T17:00:14.188301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분법인명대표자설립년월일주소전화번호설 립 목 적
구분1.0000.6060.6141.0000.0000.0000.791
법인명0.6061.0001.0000.9780.9900.9981.000
대표자0.6141.0001.0000.9920.9991.0000.999
설립년월일1.0000.9780.9921.0000.9900.9800.959
주소0.0000.9900.9990.9901.0001.0000.990
전화번호0.0000.9981.0000.9801.0001.0000.995
설 립 목 적0.7911.0000.9990.9590.9900.9951.000

Missing values

2024-04-18T17:00:10.400073image/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.
2024-04-18T17:00:10.500260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분법인명대표자설립년월일주소전화번호설 립 목 적
0사단법인청소년교육센터배동열1990-04-20수성구 지산로 41053-783-8006청소년들의 바른 인격형성, 인력양성 등
1재단법인대구가톨릭청소년회장신호1998-12-29중구 남산로4길 112053-250-3069청소년들의 정신적,신체적 건전한 성장
2재단법인북구청소년회관김철섭2000-06-14북구 검단로 71-17053-665-2191청소년들의 건전 육성지원
3사단법인청소년을사랑하는 사람들양병림2002-11-16달서구 상원로 46, 3층053-631-0404청소년건전육성정책수립 및 건전육성 지원
4사단법인청소년밝은세상박노진2003-03-21북구 칠성로 79, 2층053-311-7942청소년 금연.금주
5사단법인팔공청소년교육연구원김영길2004-02-03중구 대봉로 269053-761-3738청소년 교육 및 연구
6사단법인청소년교육문화 공동체반딧불이김형섭2004-02-03달서구 달구벌대로1826 4층053-421-1318청소년 공동체의식 함양을 위한 자치활동
7사단법인퀄리라이프이상만2004-03-06수성구 지범로 247053-426-8512청소년과 가족을 위한 종합적인 상담
8사단법인청소년교육문화센터 우리세상박신호2004-04-29달서구 상인서로 1074층053-425-8420청소년 문화예술활성화사업,자치활동지원
9사단법인21세기 청소년으뜸세상추병호2004-10-16서구 국채보상로335<NA>청소년동아리육성 상설문화공간조성
구분법인명대표자설립년월일주소전화번호설 립 목 적
71비영리민간단체체험학습연구소김진규2012-02-24북구 유통단지로8길 108-9053-383-8635청소년체험활동 상담 및 문화기획
72비영리민간단체잇츠토크강양구외 1인2014-10-22북구 중앙대로 608, 302호053-953-2242청소년대상 공익강연진로 및 직업 멘토링
73비영리민간단체대구청소년수련시설협회최원제2014-11-07북구 검단로 71-17053-665-2191청소년활동사업청소년지도자 연수 및 권익증진
74비영리민간단체한국청소년육성연맹박봉호2015-06-18달서구 상화로 38(3층)053-802-1022청소년상담지원, 장학사업
75비영리민간단체드림앤뮤직김상신2015-07-08남구 두류공원로 120053-623-0191저소득계층 청소년 음악 및 교과지도 사업
76비영리민간단체청소년교육상담센터임순선2015-07-14수성구 달구벌대로 469길 8053-322-4323청소년, 부모교육 및 상담 등
77비영리민간단체대구광역시청소년지도사협회최현복2015-09-09수성구 지범로 22길 23<NA>청소년 건전육성 사업 등 각종 활동
78비영리민간단체청소년을 성장시키는 사람들 꿈바야도기봉2016-09-19수성구 달구벌대로 641길 17-4(2층)<NA>청소년 건전육성을 위한 활동지원사업
79비영리민간단체별을 만드는 사람들심규보2017-08-21남구 중앙대로20길21(대명동)2층053-286-0112위기·학교밖·소외계층 청소년의 선도및보호활동
80비영리민간단체다온청소년사랑나눔하진열2019-04-03달성군 다사읍 서재리 144<NA>청소년 활동지원 사업