Overview

Dataset statistics

Number of variables21
Number of observations100
Missing cells366
Missing cells (%)17.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory176.3 B

Variable types

Numeric4
Categorical4
Text10
Boolean2
DateTime1

Alerts

USE_AT has constant value ""Constant
CONFM_AT has constant value ""Constant
ACEPTNC_NMPR is highly imbalanced (87.9%)Imbalance
STAYNG_PSNCPA is highly imbalanced (89.8%)Imbalance
FOND_YMD is highly imbalanced (87.9%)Imbalance
CHRG_DEPT_NM has 78 (78.0%) missing valuesMissing
MAIN_FCLTY has 88 (88.0%) missing valuesMissing
MAIN_PROGRM has 90 (90.0%) missing valuesMissing
HMPG has 5 (5.0%) missing valuesMissing
INTRCN has 7 (7.0%) missing valuesMissing
OPER_INSTT has 98 (98.0%) missing valuesMissing
TRNG_ACT_FCLTY_SN has unique valuesUnique
FCLTY_SN has unique valuesUnique
FCLTY_NM has unique valuesUnique
TEL_NO has unique valuesUnique
ZIP_NO has unique valuesUnique
ADRES_PRE has unique valuesUnique
CONFM_DT has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:55:28.545330
Analysis finished2023-12-10 09:55:30.421605
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

TRNG_ACT_FCLTY_SN
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean626.3
Minimum5
Maximum1676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:30.587061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile27.95
Q1225.75
median620.5
Q3975
95-th percentile1508.65
Maximum1676
Range1671
Interquartile range (IQR)749.25

Descriptive statistics

Standard deviation428.5396
Coefficient of variation (CV)0.68424015
Kurtosis-0.65936253
Mean626.3
Median Absolute Deviation (MAD)366
Skewness0.37671793
Sum62630
Variance183646.19
MonotonicityStrictly increasing
2023-12-10T18:55:30.888399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1
 
1.0%
766 1
 
1.0%
972 1
 
1.0%
950 1
 
1.0%
943 1
 
1.0%
942 1
 
1.0%
940 1
 
1.0%
936 1
 
1.0%
866 1
 
1.0%
807 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
5 1
1.0%
14 1
1.0%
22 1
1.0%
23 1
1.0%
27 1
1.0%
28 1
1.0%
35 1
1.0%
61 1
1.0%
77 1
1.0%
81 1
1.0%
ValueCountFrequency (%)
1676 1
1.0%
1543 1
1.0%
1536 1
1.0%
1531 1
1.0%
1521 1
1.0%
1508 1
1.0%
1201 1
1.0%
1176 1
1.0%
1165 1
1.0%
1146 1
1.0%

FCLTY_SN
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean626.3
Minimum5
Maximum1676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:31.201539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile27.95
Q1225.75
median620.5
Q3975
95-th percentile1508.65
Maximum1676
Range1671
Interquartile range (IQR)749.25

Descriptive statistics

Standard deviation428.5396
Coefficient of variation (CV)0.68424015
Kurtosis-0.65936253
Mean626.3
Median Absolute Deviation (MAD)366
Skewness0.37671793
Sum62630
Variance183646.19
MonotonicityStrictly increasing
2023-12-10T18:55:32.044747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1
 
1.0%
766 1
 
1.0%
972 1
 
1.0%
950 1
 
1.0%
943 1
 
1.0%
942 1
 
1.0%
940 1
 
1.0%
936 1
 
1.0%
866 1
 
1.0%
807 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
5 1
1.0%
14 1
1.0%
22 1
1.0%
23 1
1.0%
27 1
1.0%
28 1
1.0%
35 1
1.0%
61 1
1.0%
77 1
1.0%
81 1
1.0%
ValueCountFrequency (%)
1676 1
1.0%
1543 1
1.0%
1536 1
1.0%
1531 1
1.0%
1521 1
1.0%
1508 1
1.0%
1201 1
1.0%
1176 1
1.0%
1165 1
1.0%
1146 1
1.0%

TY_CODE
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49481.98
Minimum44002
Maximum50003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:32.376529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44002
5-th percentile44003
Q150001
median50001
Q350003
95-th percentile50003
Maximum50003
Range6001
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1598.1746
Coefficient of variation (CV)0.032298112
Kurtosis7.5608917
Mean49481.98
Median Absolute Deviation (MAD)1
Skewness-3.0066457
Sum4948198
Variance2554161.9
MonotonicityNot monotonic
2023-12-10T18:55:32.609219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50001 49
49.0%
50003 35
35.0%
44003 6
 
6.0%
50002 5
 
5.0%
48003 2
 
2.0%
46002 1
 
1.0%
44002 1
 
1.0%
48006 1
 
1.0%
ValueCountFrequency (%)
44002 1
 
1.0%
44003 6
 
6.0%
46002 1
 
1.0%
48003 2
 
2.0%
48006 1
 
1.0%
50001 49
49.0%
50002 5
 
5.0%
50003 35
35.0%
ValueCountFrequency (%)
50003 35
35.0%
50002 5
 
5.0%
50001 49
49.0%
48006 1
 
1.0%
48003 2
 
2.0%
46002 1
 
1.0%
44003 6
 
6.0%
44002 1
 
1.0%

TY_CODE_NM
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
수련관
49 
문화의집
35 
진흥센터
수련원
비영리법인
 
2
Other values (3)
 
3

Length

Max length8
Median length3
Mean length3.5
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row문화의집
2nd row수련관
3rd row수련관
4th row진흥센터
5th row수련원

Common Values

ValueCountFrequency (%)
수련관 49
49.0%
문화의집 35
35.0%
진흥센터 6
 
6.0%
수련원 5
 
5.0%
비영리법인 2
 
2.0%
(상담)지원센터 1
 
1.0%
공공기관 1
 
1.0%
기타 1
 
1.0%

Length

2023-12-10T18:55:32.981871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:33.309867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수련관 49
49.0%
문화의집 35
35.0%
진흥센터 6
 
6.0%
수련원 5
 
5.0%
비영리법인 2
 
2.0%
상담)지원센터 1
 
1.0%
공공기관 1
 
1.0%
기타 1
 
1.0%

CHRG_DEPT_NM
Text

MISSING 

Distinct16
Distinct (%)72.7%
Missing78
Missing (%)78.0%
Memory size932.0 B
2023-12-10T18:55:33.648340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.7727273
Min length3

Characters and Unicode

Total characters127
Distinct characters38
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

Unique13 ?
Unique (%)59.1%

Sample

1st row청소년부
2nd row청소년사업팀
3rd row사무국
4th row복지팀
5th row청소년팀
ValueCountFrequency (%)
청소년사업팀 4
16.7%
청소년활동팀 3
 
12.5%
청소년팀 2
 
8.3%
활동사업부 1
 
4.2%
전라남도청소년수련원 1
 
4.2%
지도부 1
 
4.2%
사업파트 1
 
4.2%
운영팀 1
 
4.2%
성산청소년수련원 1
 
4.2%
운영부 1
 
4.2%
Other values (8) 8
33.3%
2023-12-10T18:55:34.256575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
11.0%
14
 
11.0%
14
 
11.0%
14
 
11.0%
7
 
5.5%
6
 
4.7%
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
Other values (28) 41
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
96.9%
Space Separator 2
 
1.6%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
11.4%
14
 
11.4%
14
 
11.4%
14
 
11.4%
7
 
5.7%
6
 
4.9%
5
 
4.1%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (25) 37
30.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
96.9%
Common 4
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
11.4%
14
 
11.4%
14
 
11.4%
14
 
11.4%
7
 
5.7%
6
 
4.9%
5
 
4.1%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (25) 37
30.1%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
96.9%
ASCII 4
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
11.4%
14
 
11.4%
14
 
11.4%
14
 
11.4%
7
 
5.7%
6
 
4.9%
5
 
4.1%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (25) 37
30.1%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

MAIN_FCLTY
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing88
Missing (%)88.0%
Memory size932.0 B
2023-12-10T18:55:34.756390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length851
Median length98.5
Mean length192.83333
Min length6

Characters and Unicode

Total characters2314
Distinct characters263
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowㅇ시설규모 : 1,329.26㎡ ㅇ지하1층 -다목적홀 : 공연 및 영화관람, 프로젠테이션- 좌석 100석, 프로젝터 -소회의실 : 회의 및 수업 등 -포켓볼실 : 포켓볼 이용, 포켓볼 1대 -동아리실 : 동아리 회의 시 활용 ㅇ지상1층 -멀티인터넷실 : PC이용 및 컴퓨터 수업, PC 16대, DVD 및 오디오 시설 -열린자료실 : DVD 및 비디오 시청 -정보서비스실 : 도서열람 교양도서 외 약 5,000여권 -사무실/안내데스크 : 안내 및 사무업무 ㅇ지상 2층 -다용도활동실 : 댄스 수업 및 동아리 댄스연습,전면거울 및 강화마루 -문화창작실 : 좌식이 요구되는 수업 및 안부연습, 전면거울 -음악활동실 : 밴드 및 노래연습, 바이올린 등 악기연주 수업 반주기기, 드럼, 키보드, 싱어엠프, 기타엠프 100W금 3개 -탁구장 : 탁구이용, 탁구대 1대 -사랑방 : 회의, 청소년 개인 및 집단상담 등
2nd row체육관, 샤워실, 공연장, 녹음스튜디오, 영상편집실, 작은도서관, 촬영스튜디오, 방과후아카데미, 헬스장, 동아리실, 컨텐츠아카데미실, 상담실, 이야기나눔방, 청소년운영위원회실, 청소년문화놀이터(탁구장, 포켓볼장, DVD룸), 쿠킹실, 밴드실, 춤터 등
3rd row공연장(250석),체육관(농구코트규모),댄스연습실(2실),음악연습실,어울마당,책방,당구장,프로그램실,성문화체험관,특별활동실,프로그램실,동아리방
4th row1. 동아리 이용시실 - 음악연습실, 공연연습실, 다목적홀, 유스카페 2. 청소년희망디자인공간 - 열린도서실, 사이버공간, 노래연습실 3. 청소년자치공간 4. 다목적무대 5. 작품전기공간 등
5th row공연연습실, 노래연습실, 탁구연습실, 영화감상실, 음악연습실, 다목적강당 동아리방1, 동아리방2, 다용도실, 바다가보이는작은도서관 이용시간 평일 10:00~21:00(화요일~토요일) 일요일, 공휴일 10:00~19:00 정기휴일 : 월요일
ValueCountFrequency (%)
· 27
 
6.6%
21
 
5.1%
13
 
3.2%
지상 10
 
2.4%
6
 
1.5%
1 5
 
1.2%
수업 5
 
1.2%
수용 4
 
1.0%
공연연습실 4
 
1.0%
노래연습실 4
 
1.0%
Other values (270) 312
75.9%
2023-12-10T18:55:35.782181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
450
 
19.4%
, 149
 
6.4%
92
 
4.0%
1 54
 
2.3%
( 44
 
1.9%
) 44
 
1.9%
0 42
 
1.8%
2 42
 
1.8%
: 37
 
1.6%
32
 
1.4%
Other values (253) 1328
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1202
51.9%
Space Separator 450
 
19.4%
Decimal Number 275
 
11.9%
Other Punctuation 227
 
9.8%
Open Punctuation 44
 
1.9%
Close Punctuation 44
 
1.9%
Other Symbol 24
 
1.0%
Dash Punctuation 20
 
0.9%
Uppercase Letter 20
 
0.9%
Math Symbol 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
92
 
7.7%
32
 
2.7%
26
 
2.2%
25
 
2.1%
25
 
2.1%
24
 
2.0%
22
 
1.8%
20
 
1.7%
19
 
1.6%
19
 
1.6%
Other values (223) 898
74.7%
Decimal Number
ValueCountFrequency (%)
1 54
19.6%
0 42
15.3%
2 42
15.3%
3 32
11.6%
5 23
8.4%
4 19
 
6.9%
6 18
 
6.5%
8 16
 
5.8%
7 15
 
5.5%
9 14
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
D 8
40.0%
V 4
20.0%
C 2
 
10.0%
P 2
 
10.0%
S 2
 
10.0%
E 1
 
5.0%
W 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 149
65.6%
: 37
 
16.3%
· 27
 
11.9%
. 13
 
5.7%
/ 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
450
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Other Symbol
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1202
51.9%
Common 1090
47.1%
Latin 22
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
92
 
7.7%
32
 
2.7%
26
 
2.2%
25
 
2.1%
25
 
2.1%
24
 
2.0%
22
 
1.8%
20
 
1.7%
19
 
1.6%
19
 
1.6%
Other values (223) 898
74.7%
Common
ValueCountFrequency (%)
450
41.3%
, 149
 
13.7%
1 54
 
5.0%
( 44
 
4.0%
) 44
 
4.0%
0 42
 
3.9%
2 42
 
3.9%
: 37
 
3.4%
3 32
 
2.9%
· 27
 
2.5%
Other values (11) 169
 
15.5%
Latin
ValueCountFrequency (%)
D 8
36.4%
V 4
18.2%
C 2
 
9.1%
P 2
 
9.1%
S 2
 
9.1%
E 1
 
4.5%
W 1
 
4.5%
c 1
 
4.5%
p 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1198
51.8%
ASCII 1061
45.9%
None 27
 
1.2%
CJK Compat 24
 
1.0%
Compat Jamo 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
450
42.4%
, 149
 
14.0%
1 54
 
5.1%
( 44
 
4.1%
) 44
 
4.1%
0 42
 
4.0%
2 42
 
4.0%
: 37
 
3.5%
3 32
 
3.0%
5 23
 
2.2%
Other values (18) 144
 
13.6%
Hangul
ValueCountFrequency (%)
92
 
7.7%
32
 
2.7%
26
 
2.2%
25
 
2.1%
25
 
2.1%
24
 
2.0%
22
 
1.8%
20
 
1.7%
19
 
1.6%
19
 
1.6%
Other values (222) 894
74.6%
None
ValueCountFrequency (%)
· 27
100.0%
CJK Compat
ValueCountFrequency (%)
24
100.0%
Compat Jamo
ValueCountFrequency (%)
4
100.0%

MAIN_PROGRM
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing90
Missing (%)90.0%
Memory size932.0 B
2023-12-10T18:55:36.359577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length681
Median length222
Mean length255.5
Min length40

Characters and Unicode

Total characters2555
Distinct characters354
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st row-청소년수련활동인증프로그램 운영 -청소년운영위원회 운영 -국제청소년성취포상제 운영 -청소년자기도전포상제 운영 -다양한 체험활동 프로그램 운영 (아낌없이주는 도솔, 우리동네최고, 도솔을 위한 청소년 워크숍, 항공모형 기체험교실 등) -자원봉사프로그램 운영
2nd row미디어 특화사업은 청소년들이 다양한 미디어활동을 통해 소통할 수 있는 축제의 장을 마련하고, 미디어지원을 통해 청소년들의 긍정적 미디어 매체로 활용하도록 장려하는 사업으로 청소년들이 직접 미디어기획, 촬영, 제작 등의 활동을 할 수 있는 인적, 시설 인프라가 구축되어 있습니다. 또한 매년 청소년의 달에 청소년들을 위한 다양한 체험거리 및 볼거리로 건전하고 즐거운 축제의 장을 마련하고 있으ㅡ며, 대인관계 및 가정환경, 학습환경의 변화에 따른 올바른 예방적, 교육적 접을 통해 청소년들의 학교 적응력을 향상시키기 위한 학교연계상담 사업을 진행하고 있으며, 각종 청소년과 관련한 사업을 진행하고 있습니다.
3rd row청소년동아리활동,청소년문화페스티벌,청소년자원봉사,청소년방과후아카데미,영유아프로그램,유아프로그램,초등특강,청소년특강등
4th row1. 청소년자치활동 - 청소년운영위원회 - 청소년기자단 - 청소년동아리 - 청소년희망디자인공간 - 청소년참여예산 2. 문화교육활동 - 동네프로젝트 - 문화아카데미 3. 연대교류활동 - 학생회지원사업 - 자원봉사활동 - 청소년학술제 4. 외부공모사업 등
5th row.동구청소년문화의집 청소년운영위원회 '비상구' .동구청소년문화의집 동아리연합회 '다모디' -동아리정기회의 - 3~12월 -동아리워크샵 - 4,8월 -동아리Concert(청소년동아리졸업공연End,and/밴드,댄스콘서트) - 2~11월 -동아리거리공연 - 7월 1.프로그램 ●문화적 역량강화(Coancert)-1.전국비보이배틀대회-8월 2.청소년 송년파티(해나기)-12월 ●대인관계역량강화(Communication)-3.청소년기행(초행)'유네스코문화유산교육-9월 4.청소년D.I.Y교실(오동오) .쑥찜 만들기-4월 .단오 음식만들기-6월 .전통 약과만들기-9월 .찹쌀떡 만들기 -11월 ●시민성역량강화(Join)-5.청소년자원봉사(푸른나눔)-1~12월 ●진로체험역량강화(Vision)-6.진로,직업 이색학과 체험전 2.청소년어울림마당 ●청소년걷다(YOUTH WALKING)-3.29(토) ●청소년가요제-6.14(토) ●비상구-8.15(금)
ValueCountFrequency (%)
21
 
6.0%
운영 10
 
2.9%
5
 
1.4%
fun 5
 
1.4%
5
 
1.4%
장애우 4
 
1.1%
위한 4
 
1.1%
다양한 3
 
0.9%
프로그램 3
 
0.9%
통해 3
 
0.9%
Other values (257) 286
81.9%
2023-12-10T18:55:37.712193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
636
24.9%
, 60
 
2.3%
53
 
2.1%
52
 
2.0%
51
 
2.0%
- 48
 
1.9%
35
 
1.4%
31
 
1.2%
28
 
1.1%
( 27
 
1.1%
Other values (344) 1534
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1516
59.3%
Space Separator 636
24.9%
Other Punctuation 108
 
4.2%
Decimal Number 68
 
2.7%
Uppercase Letter 61
 
2.4%
Lowercase Letter 52
 
2.0%
Dash Punctuation 48
 
1.9%
Open Punctuation 27
 
1.1%
Close Punctuation 27
 
1.1%
Other Symbol 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
 
3.5%
52
 
3.4%
51
 
3.4%
35
 
2.3%
31
 
2.0%
28
 
1.8%
24
 
1.6%
24
 
1.6%
24
 
1.6%
23
 
1.5%
Other values (287) 1171
77.2%
Uppercase Letter
ValueCountFrequency (%)
B 10
16.4%
A 9
14.8%
C 8
13.1%
F 5
 
8.2%
Y 4
 
6.6%
N 3
 
4.9%
P 2
 
3.3%
O 2
 
3.3%
H 2
 
3.3%
I 2
 
3.3%
Other values (11) 14
23.0%
Lowercase Letter
ValueCountFrequency (%)
n 13
25.0%
u 6
11.5%
o 6
11.5%
i 5
 
9.6%
t 5
 
9.6%
e 4
 
7.7%
c 3
 
5.8%
a 3
 
5.8%
r 2
 
3.8%
d 2
 
3.8%
Other values (2) 3
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 19
27.9%
2 13
19.1%
3 9
13.2%
4 7
 
10.3%
8 5
 
7.4%
6 4
 
5.9%
5 4
 
5.9%
9 3
 
4.4%
7 3
 
4.4%
0 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 60
55.6%
. 26
24.1%
/ 7
 
6.5%
' 5
 
4.6%
! 4
 
3.7%
& 3
 
2.8%
: 3
 
2.8%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
+ 2
40.0%
Space Separator
ValueCountFrequency (%)
636
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Symbol
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1516
59.3%
Common 926
36.2%
Latin 113
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
 
3.5%
52
 
3.4%
51
 
3.4%
35
 
2.3%
31
 
2.0%
28
 
1.8%
24
 
1.6%
24
 
1.6%
24
 
1.6%
23
 
1.5%
Other values (287) 1171
77.2%
Latin
ValueCountFrequency (%)
n 13
 
11.5%
B 10
 
8.8%
A 9
 
8.0%
C 8
 
7.1%
u 6
 
5.3%
o 6
 
5.3%
F 5
 
4.4%
i 5
 
4.4%
t 5
 
4.4%
e 4
 
3.5%
Other values (23) 42
37.2%
Common
ValueCountFrequency (%)
636
68.7%
, 60
 
6.5%
- 48
 
5.2%
( 27
 
2.9%
) 27
 
2.9%
. 26
 
2.8%
1 19
 
2.1%
2 13
 
1.4%
3 9
 
1.0%
/ 7
 
0.8%
Other values (14) 54
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1515
59.3%
ASCII 1032
40.4%
Geometric Shapes 7
 
0.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
636
61.6%
, 60
 
5.8%
- 48
 
4.7%
( 27
 
2.6%
) 27
 
2.6%
. 26
 
2.5%
1 19
 
1.8%
2 13
 
1.3%
n 13
 
1.3%
B 10
 
1.0%
Other values (46) 153
 
14.8%
Hangul
ValueCountFrequency (%)
53
 
3.5%
52
 
3.4%
51
 
3.4%
35
 
2.3%
31
 
2.0%
28
 
1.8%
24
 
1.6%
24
 
1.6%
24
 
1.6%
23
 
1.5%
Other values (286) 1170
77.2%
Geometric Shapes
ValueCountFrequency (%)
7
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

ACEPTNC_NMPR
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
200
 
1
497
 
1
180
 
1

Length

Max length4
Median length4
Mean length3.97
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
200 1
 
1.0%
497 1
 
1.0%
180 1
 
1.0%

Length

2023-12-10T18:55:38.075575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:38.294373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
200 1
 
1.0%
497 1
 
1.0%
180 1
 
1.0%

STAYNG_PSNCPA
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
98 
0
 
1
497
 
1

Length

Max length4
Median length4
Mean length3.96
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 98
98.0%
0 1
 
1.0%
497 1
 
1.0%

Length

2023-12-10T18:55:38.569938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:38.857976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
98.0%
0 1
 
1.0%
497 1
 
1.0%

FCLTY_NM
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:55:39.299506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.79
Min length6

Characters and Unicode

Total characters979
Distinct characters131
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row대구광역시청소년문화의집
2nd row서울중구청소년수련관
3rd row분당서현청소년수련관
4th row인천YWCA
5th row대구광역시청소년수련원
ValueCountFrequency (%)
사단법인 2
 
1.9%
대구광역시청소년문화의집 1
 
1.0%
강릉시청소년수련관 1
 
1.0%
서울청소년센터 1
 
1.0%
군산청소년수련관 1
 
1.0%
교하청소년문화의집 1
 
1.0%
강남청소년수련관 1
 
1.0%
합덕청소년문화의집 1
 
1.0%
은행동청소년문화의집 1
 
1.0%
시립마포청소년센터 1
 
1.0%
Other values (93) 93
89.4%
2023-12-10T18:55:40.039565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
10.0%
98
 
10.0%
98
 
10.0%
42
 
4.3%
38
 
3.9%
38
 
3.9%
38
 
3.9%
38
 
3.9%
35
 
3.6%
33
 
3.4%
Other values (121) 423
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 966
98.7%
Space Separator 4
 
0.4%
Uppercase Letter 4
 
0.4%
Close Punctuation 3
 
0.3%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
98
 
10.1%
98
 
10.1%
98
 
10.1%
42
 
4.3%
38
 
3.9%
38
 
3.9%
38
 
3.9%
38
 
3.9%
35
 
3.6%
33
 
3.4%
Other values (114) 410
42.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
W 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 966
98.7%
Common 9
 
0.9%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
98
 
10.1%
98
 
10.1%
98
 
10.1%
42
 
4.3%
38
 
3.9%
38
 
3.9%
38
 
3.9%
38
 
3.9%
35
 
3.6%
33
 
3.4%
Other values (114) 410
42.4%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
W 1
25.0%
Y 1
25.0%
Common
ValueCountFrequency (%)
4
44.4%
) 3
33.3%
( 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 966
98.7%
ASCII 13
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
98
 
10.1%
98
 
10.1%
98
 
10.1%
42
 
4.3%
38
 
3.9%
38
 
3.9%
38
 
3.9%
38
 
3.9%
35
 
3.6%
33
 
3.4%
Other values (114) 410
42.4%
ASCII
ValueCountFrequency (%)
4
30.8%
) 3
23.1%
( 2
15.4%
A 1
 
7.7%
C 1
 
7.7%
W 1
 
7.7%
Y 1
 
7.7%

TEL_NO
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:55:40.689589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.9
Min length10

Characters and Unicode

Total characters1190
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

Unique100 ?
Unique (%)100.0%

Sample

1st row053-661-1318
2nd row02-2250-0500
3rd row031-729-9400
4th row032-424-0524
5th row053-656-6655
ValueCountFrequency (%)
053-661-1318 1
 
1.0%
033-640-4795 1
 
1.0%
031-828-9500 1
 
1.0%
02-2267-2914 1
 
1.0%
063-461-4166 1
 
1.0%
031-957-1115 1
 
1.0%
02-544-9725 1
 
1.0%
041-363-0387 1
 
1.0%
031-729-9900 1
 
1.0%
02-3153-5900 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:55:41.841884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
16.5%
- 196
16.5%
3 133
11.2%
1 110
9.2%
2 110
9.2%
5 104
8.7%
4 90
7.6%
6 76
 
6.4%
7 69
 
5.8%
9 59
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 994
83.5%
Dash Punctuation 196
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
19.7%
3 133
13.4%
1 110
11.1%
2 110
11.1%
5 104
10.5%
4 90
9.1%
6 76
 
7.6%
7 69
 
6.9%
9 59
 
5.9%
8 47
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
16.5%
- 196
16.5%
3 133
11.2%
1 110
9.2%
2 110
9.2%
5 104
8.7%
4 90
7.6%
6 76
 
6.4%
7 69
 
5.8%
9 59
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
16.5%
- 196
16.5%
3 133
11.2%
1 110
9.2%
2 110
9.2%
5 104
8.7%
4 90
7.6%
6 76
 
6.4%
7 69
 
5.8%
9 59
 
5.0%

HMPG
Text

MISSING 

Distinct95
Distinct (%)100.0%
Missing5
Missing (%)5.0%
Memory size932.0 B
2023-12-10T18:55:42.347929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length29
Mean length22.715789
Min length14

Characters and Unicode

Total characters2158
Distinct characters38
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st rowhttp://dg1318.net
2nd rowhttp://j-youth.org
3rd rowhttp://www.uth.or.kr
4th rowhttp://www.ywcaic.or.kr
5th rowhttp://www.dgyouth.net
ValueCountFrequency (%)
http://dg1318.net 1
 
1.1%
http://www.seekle.or.kr 1
 
1.1%
http://www.cc1318.or.kr 1
 
1.1%
http://uiyouth.or.kr 1
 
1.1%
http://www.youthc.or.kr 1
 
1.1%
http://ycenter.co.kr 1
 
1.1%
http://dvpaju.com 1
 
1.1%
http://www.gangnamyc.or.kr 1
 
1.1%
http://sn-atti7979.or.kr 1
 
1.1%
http://www.youthnaroo.or.kr 1
 
1.1%
Other values (85) 85
89.5%
2023-12-10T18:55:43.249790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 258
12.0%
. 219
 
10.1%
/ 212
 
9.8%
o 157
 
7.3%
h 151
 
7.0%
r 143
 
6.6%
w 141
 
6.5%
p 101
 
4.7%
: 95
 
4.4%
k 85
 
3.9%
Other values (28) 596
27.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1568
72.7%
Other Punctuation 526
 
24.4%
Decimal Number 62
 
2.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 258
16.5%
o 157
10.0%
h 151
9.6%
r 143
9.1%
w 141
9.0%
p 101
 
6.4%
k 85
 
5.4%
y 77
 
4.9%
u 64
 
4.1%
n 54
 
3.4%
Other values (15) 337
21.5%
Decimal Number
ValueCountFrequency (%)
1 21
33.9%
8 11
17.7%
3 10
16.1%
7 6
 
9.7%
9 5
 
8.1%
2 4
 
6.5%
0 3
 
4.8%
5 1
 
1.6%
4 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 219
41.6%
/ 212
40.3%
: 95
18.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1568
72.7%
Common 590
 
27.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 258
16.5%
o 157
10.0%
h 151
9.6%
r 143
9.1%
w 141
9.0%
p 101
 
6.4%
k 85
 
5.4%
y 77
 
4.9%
u 64
 
4.1%
n 54
 
3.4%
Other values (15) 337
21.5%
Common
ValueCountFrequency (%)
. 219
37.1%
/ 212
35.9%
: 95
16.1%
1 21
 
3.6%
8 11
 
1.9%
3 10
 
1.7%
7 6
 
1.0%
9 5
 
0.8%
2 4
 
0.7%
0 3
 
0.5%
Other values (3) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 258
12.0%
. 219
 
10.1%
/ 212
 
9.8%
o 157
 
7.3%
h 151
 
7.0%
r 143
 
6.6%
w 141
 
6.5%
p 101
 
4.7%
: 95
 
4.4%
k 85
 
3.9%
Other values (28) 596
27.6%

ZIP_NO
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292603.38
Minimum2764
Maximum740130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:43.649518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2764
5-th percentile6988.25
Q146435.25
median233011.5
Q3503233.25
95-th percentile704363.95
Maximum740130
Range737366
Interquartile range (IQR)456798

Descriptive statistics

Standard deviation248779.42
Coefficient of variation (CV)0.85022742
Kurtosis-1.3612845
Mean292603.38
Median Absolute Deviation (MAD)203914.5
Skewness0.35648123
Sum29260338
Variance6.1891198 × 1010
MonotonicityNot monotonic
2023-12-10T18:55:44.032078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
705817 1
 
1.0%
6643 1
 
1.0%
143807 1
 
1.0%
11622 1
 
1.0%
100230 1
 
1.0%
573120 1
 
1.0%
10885 1
 
1.0%
135100 1
 
1.0%
343907 1
 
1.0%
13156 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2764 1
1.0%
4422 1
1.0%
4750 1
1.0%
6643 1
1.0%
6670 1
1.0%
7005 1
1.0%
10885 1
1.0%
11622 1
1.0%
13156 1
1.0%
13404 1
1.0%
ValueCountFrequency (%)
740130 1
1.0%
730873 1
1.0%
711852 1
1.0%
705817 1
1.0%
704819 1
1.0%
704340 1
1.0%
703830 1
1.0%
702010 1
1.0%
700400 1
1.0%
699923 1
1.0%

ADRES_PRE
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:55:44.625368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length16.74
Min length9

Characters and Unicode

Total characters1674
Distinct characters178
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row대구 남구 대명2동
2nd row서울 중구 신당3동
3rd row경기 성남시 분당구 서현동
4th row인천광역시 남동구 구월동
5th row대구 달서구 송현동
ValueCountFrequency (%)
서울 11
 
2.7%
경기 9
 
2.2%
경기도 9
 
2.2%
서구 8
 
2.0%
대구 7
 
1.7%
서울특별시 7
 
1.7%
강원 6
 
1.5%
중구 6
 
1.5%
전북 5
 
1.2%
성남시 5
 
1.2%
Other values (282) 336
82.2%
2023-12-10T18:55:45.616227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
18.5%
96
 
5.7%
73
 
4.4%
72
 
4.3%
41
 
2.4%
38
 
2.3%
36
 
2.2%
35
 
2.1%
( 29
 
1.7%
) 29
 
1.7%
Other values (168) 916
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1147
68.5%
Space Separator 309
 
18.5%
Decimal Number 156
 
9.3%
Open Punctuation 29
 
1.7%
Close Punctuation 29
 
1.7%
Math Symbol 2
 
0.1%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
96
 
8.4%
73
 
6.4%
72
 
6.3%
41
 
3.6%
38
 
3.3%
36
 
3.1%
35
 
3.1%
27
 
2.4%
26
 
2.3%
24
 
2.1%
Other values (152) 679
59.2%
Decimal Number
ValueCountFrequency (%)
1 29
18.6%
3 24
15.4%
2 22
14.1%
5 21
13.5%
4 14
9.0%
9 13
8.3%
7 13
8.3%
6 8
 
5.1%
8 6
 
3.8%
0 6
 
3.8%
Space Separator
ValueCountFrequency (%)
309
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1147
68.5%
Common 527
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
96
 
8.4%
73
 
6.4%
72
 
6.3%
41
 
3.6%
38
 
3.3%
36
 
3.1%
35
 
3.1%
27
 
2.4%
26
 
2.3%
24
 
2.1%
Other values (152) 679
59.2%
Common
ValueCountFrequency (%)
309
58.6%
( 29
 
5.5%
) 29
 
5.5%
1 29
 
5.5%
3 24
 
4.6%
2 22
 
4.2%
5 21
 
4.0%
4 14
 
2.7%
9 13
 
2.5%
7 13
 
2.5%
Other values (6) 24
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1147
68.5%
ASCII 527
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
58.6%
( 29
 
5.5%
) 29
 
5.5%
1 29
 
5.5%
3 24
 
4.6%
2 22
 
4.2%
5 21
 
4.0%
4 14
 
2.7%
9 13
 
2.5%
7 13
 
2.5%
Other values (6) 24
 
4.6%
Hangul
ValueCountFrequency (%)
96
 
8.4%
73
 
6.4%
72
 
6.3%
41
 
3.6%
38
 
3.3%
36
 
3.1%
35
 
3.1%
27
 
2.4%
26
 
2.3%
24
 
2.1%
Other values (152) 679
59.2%
Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:55:46.149608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length11.2
Min length1

Characters and Unicode

Total characters1120
Distinct characters138
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row1822-2
2nd row844-5 서울중구청소년수련관
3rd row312-5 서현청소년수련관
4th row1135-10번지
5th row702번지 대구광역시청소년수련원
ValueCountFrequency (%)
3층 6
 
3.7%
2층 3
 
1.9%
서구청소년수련관 2
 
1.2%
1층 2
 
1.2%
청소년회관로 1
 
0.6%
마포청소년수련관 1
 
0.6%
은행동청소년문화의집 1
 
0.6%
274-1 1
 
0.6%
66-2 1
 
0.6%
강남청소년수련관 1
 
0.6%
Other values (143) 143
88.3%
2023-12-10T18:55:46.928922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
5.5%
62
 
5.5%
61
 
5.4%
61
 
5.4%
1 43
 
3.8%
- 42
 
3.8%
2 41
 
3.7%
39
 
3.5%
36
 
3.2%
35
 
3.1%
Other values (128) 638
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 749
66.9%
Decimal Number 254
 
22.7%
Space Separator 62
 
5.5%
Dash Punctuation 42
 
3.8%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Other Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
8.3%
61
 
8.1%
61
 
8.1%
39
 
5.2%
36
 
4.8%
35
 
4.7%
34
 
4.5%
32
 
4.3%
20
 
2.7%
20
 
2.7%
Other values (111) 349
46.6%
Decimal Number
ValueCountFrequency (%)
1 43
16.9%
2 41
16.1%
3 32
12.6%
5 29
11.4%
4 23
9.1%
6 22
8.7%
0 20
7.9%
8 18
7.1%
7 14
 
5.5%
9 12
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
66.9%
Common 371
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
8.3%
61
 
8.1%
61
 
8.1%
39
 
5.2%
36
 
4.8%
35
 
4.7%
34
 
4.5%
32
 
4.3%
20
 
2.7%
20
 
2.7%
Other values (111) 349
46.6%
Common
ValueCountFrequency (%)
62
16.7%
1 43
11.6%
- 42
11.3%
2 41
11.1%
3 32
8.6%
5 29
7.8%
4 23
 
6.2%
6 22
 
5.9%
0 20
 
5.4%
8 18
 
4.9%
Other values (7) 39
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 749
66.9%
ASCII 371
33.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
62
 
8.3%
61
 
8.1%
61
 
8.1%
39
 
5.2%
36
 
4.8%
35
 
4.7%
34
 
4.5%
32
 
4.3%
20
 
2.7%
20
 
2.7%
Other values (111) 349
46.6%
ASCII
ValueCountFrequency (%)
62
16.7%
1 43
11.6%
- 42
11.3%
2 41
11.1%
3 32
8.6%
5 29
7.8%
4 23
 
6.2%
6 22
 
5.9%
0 20
 
5.4%
8 18
 
4.9%
Other values (7) 39
10.5%

INTRCN
Text

MISSING 

Distinct92
Distinct (%)98.9%
Missing7
Missing (%)7.0%
Memory size932.0 B
2023-12-10T18:55:47.589015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length506
Median length135
Mean length118.09677
Min length1

Characters and Unicode

Total characters10983
Distinct characters492
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)97.8%

Sample

1st row. 청소년과 같은 눈높이에서 눈빛만으로도 통할 수 있는 소중한 친구. 대구광역시 청소년문화의집입니다. 대구광역시 청소년문화의집은 2011년부터 (재)대구청소년재단에서 수탁 운영되고 있습니다.
2nd row서울의 중심 중구 지역 신당동 소재 청소년이 중심이 되는 수련관입니다
3rd row성남시 출연기관 성남시청소년육성재단 산하 기관 2003년도 개관 후 다양한 청소년 활동을 운영하고 있으며 2009년도 청소년수련관 종합평가 최우수기관 선정 2010년도 푸른성장 대상 수상
4th rowYWCA는 지구촌 120여개국 2천 5백만여 명의 여성들이 열린 사고와 열정으로 청소년의 지도력 개발과 사회참여를 통해 그리스도의 사랑을 실천하며, 풍성한 나눔 공동체로 모여 건강한 세상을 만들어 갑니다. 인천YWCA는 청소년 동아리인 Y-틴 운영하고 있으며 인천 내 19개 중고등학교의 Y틴과 센터 Y-틴를 운영하고 있습니다.
5th row대구광역시청소년수련원은 청소년들이 자유롭게 이용할 수 있도록 만남과 휴식의 공간을 제공하고, 문화 및 체육행사 등 다양한 청소년활동을 통하여 건전한 청소년 육성에 기여하고자 한다.
ValueCountFrequency (%)
청소년 60
 
2.6%
39
 
1.7%
다양한 39
 
1.7%
29
 
1.3%
28
 
1.2%
위한 26
 
1.1%
있는 25
 
1.1%
있습니다 25
 
1.1%
청소년의 21
 
0.9%
20
 
0.9%
Other values (1336) 1979
86.4%
2023-12-10T18:55:48.768046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2265
 
20.6%
302
 
2.7%
300
 
2.7%
285
 
2.6%
198
 
1.8%
, 175
 
1.6%
158
 
1.4%
155
 
1.4%
138
 
1.3%
134
 
1.2%
Other values (482) 6873
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7948
72.4%
Space Separator 2265
 
20.6%
Other Punctuation 360
 
3.3%
Decimal Number 222
 
2.0%
Lowercase Letter 53
 
0.5%
Uppercase Letter 42
 
0.4%
Dash Punctuation 27
 
0.2%
Close Punctuation 19
 
0.2%
Open Punctuation 15
 
0.1%
Other Symbol 12
 
0.1%
Other values (4) 20
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
302
 
3.8%
300
 
3.8%
285
 
3.6%
198
 
2.5%
158
 
2.0%
155
 
2.0%
138
 
1.7%
134
 
1.7%
132
 
1.7%
122
 
1.5%
Other values (413) 6024
75.8%
Lowercase Letter
ValueCountFrequency (%)
s 6
11.3%
o 6
11.3%
i 5
9.4%
e 5
9.4%
h 4
 
7.5%
n 4
 
7.5%
t 4
 
7.5%
p 3
 
5.7%
a 3
 
5.7%
u 2
 
3.8%
Other values (10) 11
20.8%
Other Punctuation
ValueCountFrequency (%)
, 175
48.6%
. 115
31.9%
: 20
 
5.6%
· 17
 
4.7%
' 12
 
3.3%
/ 6
 
1.7%
! 5
 
1.4%
; 2
 
0.6%
# 2
 
0.6%
& 2
 
0.6%
Other values (3) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 54
24.3%
1 51
23.0%
0 37
16.7%
3 16
 
7.2%
5 13
 
5.9%
4 13
 
5.9%
9 12
 
5.4%
8 11
 
5.0%
6 9
 
4.1%
7 6
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
Y 11
26.2%
C 8
19.0%
A 8
19.0%
M 7
16.7%
H 4
 
9.5%
W 2
 
4.8%
V 1
 
2.4%
N 1
 
2.4%
Other Symbol
ValueCountFrequency (%)
4
33.3%
3
25.0%
3
25.0%
2
16.7%
Math Symbol
ValueCountFrequency (%)
< 2
33.3%
> 2
33.3%
~ 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 18
94.7%
] 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 14
93.3%
[ 1
 
6.7%
Initial Punctuation
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Final Punctuation
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
2265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7948
72.4%
Common 2940
 
26.8%
Latin 95
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
302
 
3.8%
300
 
3.8%
285
 
3.6%
198
 
2.5%
158
 
2.0%
155
 
2.0%
138
 
1.7%
134
 
1.7%
132
 
1.7%
122
 
1.5%
Other values (413) 6024
75.8%
Common
ValueCountFrequency (%)
2265
77.0%
, 175
 
6.0%
. 115
 
3.9%
2 54
 
1.8%
1 51
 
1.7%
0 37
 
1.3%
- 27
 
0.9%
: 20
 
0.7%
) 18
 
0.6%
· 17
 
0.6%
Other values (31) 161
 
5.5%
Latin
ValueCountFrequency (%)
Y 11
 
11.6%
C 8
 
8.4%
A 8
 
8.4%
M 7
 
7.4%
s 6
 
6.3%
o 6
 
6.3%
i 5
 
5.3%
e 5
 
5.3%
h 4
 
4.2%
n 4
 
4.2%
Other values (18) 31
32.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7938
72.3%
ASCII 2995
 
27.3%
None 18
 
0.2%
Compat Jamo 10
 
0.1%
Punctuation 10
 
0.1%
Geometric Shapes 9
 
0.1%
CJK Compat 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2265
75.6%
, 175
 
5.8%
. 115
 
3.8%
2 54
 
1.8%
1 51
 
1.7%
0 37
 
1.2%
- 27
 
0.9%
: 20
 
0.7%
) 18
 
0.6%
3 16
 
0.5%
Other values (49) 217
 
7.2%
Hangul
ValueCountFrequency (%)
302
 
3.8%
300
 
3.8%
285
 
3.6%
198
 
2.5%
158
 
2.0%
155
 
2.0%
138
 
1.7%
134
 
1.7%
132
 
1.7%
122
 
1.5%
Other values (411) 6014
75.8%
None
ValueCountFrequency (%)
· 17
94.4%
1
 
5.6%
Compat Jamo
ValueCountFrequency (%)
9
90.0%
1
 
10.0%
Punctuation
ValueCountFrequency (%)
4
40.0%
4
40.0%
1
 
10.0%
1
 
10.0%
Geometric Shapes
ValueCountFrequency (%)
4
44.4%
3
33.3%
2
22.2%
CJK Compat
ValueCountFrequency (%)
3
100.0%

OPER_INSTT
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T18:55:49.135418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8.5
Mean length8.5
Min length8

Characters and Unicode

Total characters17
Distinct characters15
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

Unique2 ?
Unique (%)100.0%

Sample

1st row성산청소년수련원
2nd row시흥시시설관리공단
ValueCountFrequency (%)
성산청소년수련원 1
50.0%
시흥시시설관리공단 1
50.0%
2023-12-10T18:55:49.794903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
17.6%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (5) 5
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
17.6%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (5) 5
29.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
17.6%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (5) 5
29.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3
17.6%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (5) 5
29.4%

FOND_YMD
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
20031118
 
1
20050701
 
1
2001417
 
1

Length

Max length8
Median length4
Mean length4.11
Min length4

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
20031118 1
 
1.0%
20050701 1
 
1.0%
2001417 1
 
1.0%

Length

2023-12-10T18:55:50.121662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:50.383045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
20031118 1
 
1.0%
20050701 1
 
1.0%
2001417 1
 
1.0%

USE_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
True
100 
ValueCountFrequency (%)
True 100
100.0%
2023-12-10T18:55:50.566867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CONFM_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
True
100 
ValueCountFrequency (%)
True 100
100.0%
2023-12-10T18:55:50.707064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CONFM_DT
Date

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2014-08-22 14:05:10
Maximum2017-08-22 16:31:05
2023-12-10T18:55:50.999875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:55:51.303276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

TRNG_ACT_FCLTY_SNFCLTY_SNTY_CODETY_CODE_NMCHRG_DEPT_NMMAIN_FCLTYMAIN_PROGRMACEPTNC_NMPRSTAYNG_PSNCPAFCLTY_NMTEL_NOHMPGZIP_NOADRES_PREADRES_RRINTRCNOPER_INSTTFOND_YMDUSE_ATCONFM_ATCONFM_DT
05550003문화의집<NA><NA><NA><NA><NA>대구광역시청소년문화의집053-661-1318http://dg1318.net705817대구 남구 대명2동1822-2. 청소년과 같은 눈높이에서 눈빛만으로도 통할 수 있는 소중한 친구. 대구광역시 청소년문화의집입니다. 대구광역시 청소년문화의집은 2011년부터 (재)대구청소년재단에서 수탁 운영되고 있습니다.<NA><NA>YY2016-07-04 17:07:14
1141450001수련관<NA><NA><NA><NA><NA>서울중구청소년수련관02-2250-0500http://j-youth.org100453서울 중구 신당3동844-5 서울중구청소년수련관서울의 중심 중구 지역 신당동 소재 청소년이 중심이 되는 수련관입니다<NA><NA>YY2016-04-27 14:10:47
2222250001수련관<NA><NA><NA><NA><NA>분당서현청소년수련관031-729-9400http://www.uth.or.kr463820경기 성남시 분당구 서현동312-5 서현청소년수련관성남시 출연기관 성남시청소년육성재단 산하 기관 2003년도 개관 후 다양한 청소년 활동을 운영하고 있으며 2009년도 청소년수련관 종합평가 최우수기관 선정 2010년도 푸른성장 대상 수상<NA><NA>YY2015-05-06 15:08:22
3232344003진흥센터청소년부<NA><NA><NA><NA>인천YWCA032-424-0524http://www.ywcaic.or.kr405220인천광역시 남동구 구월동1135-10번지YWCA는 지구촌 120여개국 2천 5백만여 명의 여성들이 열린 사고와 열정으로 청소년의 지도력 개발과 사회참여를 통해 그리스도의 사랑을 실천하며, 풍성한 나눔 공동체로 모여 건강한 세상을 만들어 갑니다. 인천YWCA는 청소년 동아리인 Y-틴 운영하고 있으며 인천 내 19개 중고등학교의 Y틴과 센터 Y-틴를 운영하고 있습니다.<NA><NA>YY2015-08-11 16:35:27
4272750002수련원청소년사업팀<NA><NA><NA><NA>대구광역시청소년수련원053-656-6655http://www.dgyouth.net704340대구 달서구 송현동702번지 대구광역시청소년수련원대구광역시청소년수련원은 청소년들이 자유롭게 이용할 수 있도록 만남과 휴식의 공간을 제공하고, 문화 및 체육행사 등 다양한 청소년활동을 통하여 건전한 청소년 육성에 기여하고자 한다.<NA><NA>YY2017-05-24 09:28:11
5282850003문화의집<NA><NA><NA><NA><NA>신월청소년문화센터02-2604-7485http://swyouth.or.kr/158829서울 양천구 신월3동150-3살레시오 수녀회의 기본정신인 돈보스코 성인의 예방교육을 바탕으로 청소년들에게 다양한 문화적 체험기회를 제공하고 자치활동을 위한 터전을 마련해주며 학교에서 가르쳐 주지 않는 세상이야기를 배울 수 있도록 하는 청소년들을 위한 전용공간입니다.<NA><NA>YY2016-04-27 14:13:38
6353550001수련관<NA><NA><NA><NA><NA>구덕청소년수련관051-246-4685http://www.gudeok.go.kr602821부산 서구 서대신동3가산 2-1번지저희 구덕청소년수련관은 자연과 하나되어 자연권과 생활권이 가지고 있는 장점을 가지고 있으며 다양한 체험활동을 제공하기 위하여 노력하고 있습니다.<NA><NA>YY2016-11-14 14:13:49
7616148003비영리법인사무국<NA><NA><NA><NA>십대의벗청소년교육센터051-462-7179http://octm7179.org600110부산 중구 영주동599-5번지 십대의벗다음세대에게 긍정적이고 창조적인 가치를 심어주고 그들에게 변화 회복 성숙 소통 섬김의 리더십을 실현하게 합니다.<NA><NA>YY2016-05-18 14:33:23
8777750001수련관<NA><NA><NA><NA><NA>수서청소년센터02-2226-3611http://www.youtra.or.kr135220서울 강남구 수서동749번지 시립수서청소년수련관수서청소년센터 -진로특성화사업, 국제교류, 봉사활동, 문화체험활동, 생활체육, 취미/여가프로그램<NA><NA>YY2016-07-28 13:47:33
9818150001수련관복지팀<NA><NA><NA><NA>금산다락원청소년수련관041-750-4440http://daragwon.net32726충청남도 금산군 금산읍 금산로 15591층- 다목적 복합문화공간으로서 2004년 개관 이래 금산 주민들의 문화.예술.교육.복지의 중심지로 중요한 역할을 담당하고 있으며 다양한 행복이 공존하는 새로운 세상을 열어가는 다락원이라는 비젼으로 운영되고 있다.<NA><NA>YY2015-11-17 11:30:51
TRNG_ACT_FCLTY_SNFCLTY_SNTY_CODETY_CODE_NMCHRG_DEPT_NMMAIN_FCLTYMAIN_PROGRMACEPTNC_NMPRSTAYNG_PSNCPAFCLTY_NMTEL_NOHMPGZIP_NOADRES_PREADRES_RRINTRCNOPER_INSTTFOND_YMDUSE_ATCONFM_ATCONFM_DT
901146114650003문화의집<NA>인터넷부스, 탁구, 농구, 닌텐도실, 보드게임, 영화방, 동아리방, 밴드연습실, 공연연습실, ESS보드<NA><NA><NA>익산시청소년문화의집063-857-6111<NA>570970전북 익산시 모현동2가 5 ~339303-1번지청소년의 꿈과 행복 발전소<NA><NA>YY2015-07-10 13:10:31
911165116550001수련관사업파트지상4층 737.29㎡ 과학체험실, 예다움실, 미술실, 동아리실, 회의실 지상3층 832.83㎡ 글로벌영어카페, 정보화교육실, 청소년방과후아카데미 사무실, 강의실 지상2층 1,762.58㎡ 해솔체육관, 체력단련실, 에어로빅실, 음악실, 댄스연습실 지상1층 1,342.54㎡ 한울림관(강당), 인공암벽장, 관장실, 사무실, 양호실, 통신실, 청소년상담지원센터 지하중층 2,288.29㎡ 수영장전망대, 샤워실(남자), 락카룸, 카페테리아(47.32㎡) 지하1층 2,026.92㎡ 나래수영장, 샤워실(여자), 락카룸, 강사실, 의무실, 지하주차장동화체험놀이 팡팡토비B 동화체험놀이 팡팡토비C 창의쑥쑥 탱탱클레이A 미술교실D 생각나무가 자라는 동화구연 미술교실A 미술교실B 주산과 암산B 통기타B 통기타C 우크렐라 신기한마술 야간다도교실 색연필일러스트 감성드로잉 채색화 플릇 통기타E(기존반) POP예쁜글씨 &초크아트(주간) 김효철유화교실 (초/중급) 신바람노래교실 신나는토요발레B Fun 키즈 째즈댄스 Fun! 째즈댄스A Fun! 째즈댄스B Fun! 째즈 & 방송댄스A Fun! 째즈 & 방송댄스B 힙합+방송댄스A 힙합+방송댄스B 키크는 음악줄넘기 키크는 초등 여자농구 키크는초등농구 키크는중등농구 농구교실A 슛돌이 축구교실A 슛돌이 축구교실B 에어로빅 요가 필라테스A 필라테스B 장애우 초등체육 장애우 특수체육 장애우 티볼 성인, 청소년 수영 프로그램 장애우 수영 지역 학교연계 수영 프로그램 지역아동센터 수영프로그램 방과후 아카데미 수영프로그램 토요 집중강습(수영) 아쿠아로빅 헬스<NA><NA>시흥시청소년수련관031-315-1890http://shyc.shsi.or.kr429874경기도 시흥시 대야동 은행로 179 시흥시청소년수련관(대야동)시흥시 청소년수련관은 청소년들의 다양한 수련활동과 건전한 청소년 육성, 지역주민을 위한 생활체육과 문화프로그램 제공을 위해 2007년 설립되어 시흥시 청소년수련관에서 위탁 운영하고 있습니다.시흥시시설관리공단<NA>YY2016-10-18 09:52:39
921176117650001수련관<NA><NA><NA><NA><NA>천안시청소년수련관041-900-0777http://www.youth.ac/330020충남 천안시 동남구 문화동101번지 2호안녕하세요. 천안시청소년수련관입니다.^^<NA><NA>YY2016-07-06 11:06:32
931201120150001수련관<NA><NA><NA><NA><NA>구립서초유스센터02-3486-1318http://www.scy.or.kr/6670서울특별시 서초구 반포대로 57 (서초동)구립서초유스센터구립서초유스센터는 청소년 시기에 필요한 기량과 품성을 함양하여, 청소년들이 건강한 성장을 할 수 있도록 다양한 체험의 기회를 부여하며, 자신의 역량을 강화할 수 있는 수련거리를 제공하여 인간다운 삶을 영위할 수 있도록 돕고자 합니다.<NA><NA>YY2017-04-06 13:15:10
941508150844003진흥센터<NA><NA><NA><NA><NA>경기도청소년활동진흥센터031-232-9383http://www.gysc.or.kr440806경기 수원시 장안구 송죽동505-3 경기도지방행정동우회관 2층 경기도청소년활동진흥센터<NA><NA><NA>YY2017-07-18 17:27:39
951521152150001수련관<NA><NA><NA><NA><NA>안양시동안청소년수련관031-8045-4900http://dongan.ayf.or.kr14048경기도 안양시 동안구 동안로 155 (비산동)안양시동안청소년수련관안양시동안청소년수련관<NA><NA>YY2016-12-13 09:58:49
961531153144003진흥센터<NA><NA><NA><NA><NA>전라북도청소년단체협의회063-287-7930http://jbyouth.com54999전라북도 전주시 완산구 전주천동로 264 (다가동4가)2층<설립목적> 국가 및 전라북도 발전에 이바지할 수 있는 바람직한 청소년육성과 국내·외 및 전라북도 내 청소년단체 상호간의 협력 및 교류와 지원 <주요내용> - 회원단체가 행하는 사업과 활동에 대한 협조ㆍ지원 - 청소년지도자의 양성ㆍ연수ㆍ청소년수련활동과 봉사활동에 대한 정보지원 - 국제 청소년기구의 활동과 국내ㆍ 외국 청소년단체와의 교류지원 - 남북청소년의 동질성회복과 해외교포 청소년의 지원 - 청소년육성을 위한 홍보와 실천운동 - 청소년관련 도서와 간행물의 발간 - 청소년문제와 활동에 관한 조사ㆍ연구와 자료수집 - 우수청소년단체, 모범청소년지도자와 청소년의 포상 - 국가 또는 지방자치단체 등으로부터의 위탁사업 - 기타 청소년 건전육성과 청소년단체의 육성 등에 필요한 사업 - 기타 청소년보호에 관한 사업 - 전라북도청소년활동진흥센터(설립 : 전라북도지사) 수탁 운영<NA><NA>YY2016-06-03 16:55:46
971536153650002수련원전라남도청소년수련원 (수련운영팀)<NA><NA><NA><NA>전라남도청소년수련원061-554-7675http://jnyc.kr59106전라남도 완도군 군외면 삼두1길 215전라남도청소년수련원‘전라남도청소년수련원’ 전라남도의 청소년 전문 기관인 ‘(재)전라남도청 소년미래재단’에서 전라남도의 위탁을 받아 운영하고 있다. 청소년수련시설의 역할뿐만 아니라 전라남도의 대표적인 청소년 활동시설로서의 역할을 수행하기 위해 청소년 활동과 관련된 분야에서 항상 끊임없는 연구와 도전을 하는 기관이다.<NA><NA>YY2017-08-21 16:40:31
981543154344003진흥센터<NA>4층 : (재)전라남도청소년미래재단 5층 : 청소년전화 1388상담지원 : 해피콜 청소년전화 1388, CYS-Net, 청소년동반자, 인터넷예방사업, 인터넷중독 치유 학교, 솔리언 또래상담, 전라남도청소년성문화센터 운영 복지지원 : 위기 청소년 지원 서비스, CYS-Net 지원단 구성, 청소년상담 지도자 역량강화를 위한 교육연수, 학교폭력 등 청소년폭력 추방운동, 청소년자살예방, 청소년자활프로그램, 활동진흥 : 핵심기능사업, 정책과제사업, 지역특성화사업, 수탁공모사업<NA><NA>전라남도청소년미래재단061-280-9062http://jnyouth.or.kr/index.htm534821전남 무안군 삼향읍 남악리1442 전남여성플라자 4층 전라남도청소년미래재단1. 청소년상담복지센터 운영 및 상담관련 사업 수행 2. 청소년활동진흥센터 운영 및 청소년 활동 진흥을 위한 사업수행 3. 청소년긴급지원센터 운영 및 보호대상 청소년 보호, 지원기능 수행 4. 국가, 지방자치단체 공공기관 등으로부터 수탁된 각종 청소년 관련 사업 수행 5. 전라남도지사가 지정하는 청소년보호, 육성에 관한 사항 등 6. 기타 센터의 목적 달성에 필요한 사업<NA><NA>YY2017-03-06 16:12:16
991676167650001수련관청소년팀<NA><NA><NA><NA>(재)대구광역시북구청소년회관053-384-1318http://bukguzzang.co.kr/702010대구 북구 산격동120번지 (재)대구광역시북구청소년회관청소년활동(육성,방과후아카데미운영, 캠프, 공모사업 등)운영, 사회교육사업(문화강좌), 생활체육사업 등 운영<NA><NA>YY2016-05-13 10:26:38