Overview

Dataset statistics

Number of variables63
Number of observations100
Missing cells1005
Missing cells (%)16.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.9 KiB
Average record size in memory541.3 B

Variable types

Numeric16
Text2
Categorical28
DateTime4
Boolean4
Unsupported9

Alerts

act_relm_code has constant value ""Constant
act_relm_code_nm has constant value ""Constant
detail_cn_code has constant value ""Constant
detail_cn_code_nm has constant value ""Constant
partcpt_ct_at has constant value ""Constant
partcpt_ct has constant value ""Constant
grp_fclty_grp_sn has constant value ""Constant
grp_fclty_grpclub_sn has constant value ""Constant
essntlcompl_at has constant value ""Constant
reg_agree_at has constant value ""Constant
detail_ty_code is highly imbalanced (91.9%)Imbalance
detail_ty_code_nm is highly imbalanced (91.9%)Imbalance
act_ctprvn_code_nm is highly imbalanced (50.3%)Imbalance
bsns_code is highly imbalanced (80.6%)Imbalance
bsns_code_nm is highly imbalanced (80.6%)Imbalance
regist_ctprvn_code_nm is highly imbalanced (50.3%)Imbalance
rcrit_nmpr_se_code is highly imbalanced (91.9%)Imbalance
rcrit_nmpr_se_code_nm is highly imbalanced (91.9%)Imbalance
old_instt_code is highly imbalanced (80.6%)Imbalance
old_instt_id is highly imbalanced (80.6%)Imbalance
use_at is highly imbalanced (75.8%)Imbalance
act_signgu_code has 3 (3.0%) missing valuesMissing
partcpt_ct_use_dtls has 100 (100.0%) missing valuesMissing
grp_se_code has 100 (100.0%) missing valuesMissing
grp_se_code_nm has 100 (100.0%) missing valuesMissing
grp_schul_code has 100 (100.0%) missing valuesMissing
grp_schul_code_nm has 100 (100.0%) missing valuesMissing
grp_nm has 100 (100.0%) missing valuesMissing
old_reqst_no has 97 (97.0%) missing valuesMissing
old_instt_code_nm has 100 (100.0%) missing valuesMissing
old_club_code has 100 (100.0%) missing valuesMissing
old_club_code_nm has 100 (100.0%) missing valuesMissing
reg_agree_at has 5 (5.0%) missing valuesMissing
progrm_sn has unique valuesUnique
progrm_no has unique valuesUnique
partcpt_ct_use_dtls is an unsupported type, check if it needs cleaning or further analysisUnsupported
grp_se_code is an unsupported type, check if it needs cleaning or further analysisUnsupported
grp_se_code_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported
grp_schul_code is an unsupported type, check if it needs cleaning or further analysisUnsupported
grp_schul_code_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported
grp_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported
old_instt_code_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported
old_club_code is an unsupported type, check if it needs cleaning or further analysisUnsupported
old_club_code_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported
onetme_progrm_sn has 58 (58.0%) zerosZeros
fclty_grpclub_sn has 91 (91.0%) zerosZeros
tme has 5 (5.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:08:56.371252
Analysis finished2023-12-10 10:08:57.321257
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

progrm_sn
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8594479.6
Minimum904530
Maximum8898478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:08:57.439821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum904530
5-th percentile8716166.9
Q18786961.8
median8897896
Q38898182.2
95-th percentile8898202.1
Maximum8898478
Range7993948
Interquartile range (IQR)111220.5

Descriptive statistics

Standard deviation1374722.3
Coefficient of variation (CV)0.15995411
Kurtosis28.316621
Mean8594479.6
Median Absolute Deviation (MAD)309.5
Skewness-5.4021761
Sum8.5944796 × 108
Variance1.8898614 × 1012
MonotonicityNot monotonic
2023-12-10T19:08:57.724440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
920667 1
 
1.0%
8898171 1
 
1.0%
8898181 1
 
1.0%
8898180 1
 
1.0%
8898179 1
 
1.0%
8898178 1
 
1.0%
8898177 1
 
1.0%
8898176 1
 
1.0%
8898175 1
 
1.0%
8898174 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
904530 1
1.0%
912171 1
1.0%
920667 1
1.0%
7371803 1
1.0%
7371820 1
1.0%
8786922 1
1.0%
8786929 1
1.0%
8786930 1
1.0%
8786931 1
1.0%
8786932 1
1.0%
ValueCountFrequency (%)
8898478 1
1.0%
8898206 1
1.0%
8898205 1
1.0%
8898204 1
1.0%
8898203 1
1.0%
8898202 1
1.0%
8898201 1
1.0%
8898200 1
1.0%
8898199 1
1.0%
8898198 1
1.0%

progrm_no
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:08:58.121535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.9
Min length21

Characters and Unicode

Total characters2290
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
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 rowPPGAS0820610125920667
2nd rowPPG020003210115-8846618
3rd rowPPGAS0820610124912171
4th rowPPGAS0820610122904530
5th rowPPGAS06170725-7371820
ValueCountFrequency (%)
ppgas0820610125920667 1
 
1.0%
ppg020003210428-8898169 1
 
1.0%
ppg020003210428-8898180 1
 
1.0%
ppg020003210428-8898179 1
 
1.0%
ppg020003210428-8898178 1
 
1.0%
ppg020003210428-8898177 1
 
1.0%
ppg020003210428-8898176 1
 
1.0%
ppg020003210428-8898175 1
 
1.0%
ppg020003210428-8898174 1
 
1.0%
ppg020003210428-8898173 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:08:58.820294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 560
24.5%
8 349
15.2%
2 299
13.1%
P 200
 
8.7%
1 158
 
6.9%
9 141
 
6.2%
3 118
 
5.2%
G 100
 
4.4%
- 97
 
4.2%
4 85
 
3.7%
Other values (5) 183
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1883
82.2%
Uppercase Letter 310
 
13.5%
Dash Punctuation 97
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 560
29.7%
8 349
18.5%
2 299
15.9%
1 158
 
8.4%
9 141
 
7.5%
3 118
 
6.3%
4 85
 
4.5%
7 74
 
3.9%
6 73
 
3.9%
5 26
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
P 200
64.5%
G 100
32.3%
A 5
 
1.6%
S 5
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1980
86.5%
Latin 310
 
13.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 560
28.3%
8 349
17.6%
2 299
15.1%
1 158
 
8.0%
9 141
 
7.1%
3 118
 
6.0%
- 97
 
4.9%
4 85
 
4.3%
7 74
 
3.7%
6 73
 
3.7%
Latin
ValueCountFrequency (%)
P 200
64.5%
G 100
32.3%
A 5
 
1.6%
S 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 560
24.5%
8 349
15.2%
2 299
13.1%
P 200
 
8.7%
1 158
 
6.9%
9 141
 
6.2%
3 118
 
5.2%
G 100
 
4.4%
- 97
 
4.2%
4 85
 
3.7%
Other values (5) 183
 
8.0%

regist_se_code
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
110002
43 
110003
42 
110001
15 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row110001
2nd row110003
3rd row110001
4th row110001
5th row110001

Common Values

ValueCountFrequency (%)
110002 43
43.0%
110003 42
42.0%
110001 15
 
15.0%

Length

2023-12-10T19:08:59.114587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:08:59.328557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
110002 43
43.0%
110003 42
42.0%
110001 15
 
15.0%

regist_se_code_nm
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
일괄
43 
차수
42 
개별
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개별
2nd row차수
3rd row개별
4th row개별
5th row개별

Common Values

ValueCountFrequency (%)
일괄 43
43.0%
차수 42
42.0%
개별 15
 
15.0%

Length

2023-12-10T19:08:59.534976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:08:59.732263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일괄 43
43.0%
차수 42
42.0%
개별 15
 
15.0%

detail_ty_code
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
114001
99 
114002
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row114001
2nd row114001
3rd row114001
4th row114001
5th row114001

Common Values

ValueCountFrequency (%)
114001 99
99.0%
114002 1
 
1.0%

Length

2023-12-10T19:08:59.941187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:00.141498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
114001 99
99.0%
114002 1
 
1.0%

detail_ty_code_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
지역사회봉사활동
99 
자연환경보호활동
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row지역사회봉사활동
2nd row지역사회봉사활동
3rd row지역사회봉사활동
4th row지역사회봉사활동
5th row지역사회봉사활동

Common Values

ValueCountFrequency (%)
지역사회봉사활동 99
99.0%
자연환경보호활동 1
 
1.0%

Length

2023-12-10T19:09:00.329050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:00.519262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역사회봉사활동 99
99.0%
자연환경보호활동 1
 
1.0%

progrm_nm
Categorical

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
초.중학생 교육봉사활동
44 
달성군 꿈드림 학습 멘토링 자원봉사
18 
달성군 꿈드림 학습지도 자원봉사
8 
재능나눔 과학교실 '사이언스 클라쓰'
6 
문화교육 프로그램 보조
 
4
Other values (13)
20 

Length

Max length38
Median length32
Mean length16.6
Min length10

Unique

Unique8 ?
Unique (%)8.0%

Sample

1st row동의과학대학 현장체험학습 도우미 (운영터전)
2nd row비대면 청소년자원봉사 프로그램 개발 및 운영
3rd row초등학생 학습지도 (운영터전)
4th row초등학생 학습지도 (운영터전)
5th row에덴지역아동센터 한자수업

Common Values

ValueCountFrequency (%)
초.중학생 교육봉사활동 44
44.0%
달성군 꿈드림 학습 멘토링 자원봉사 18
18.0%
달성군 꿈드림 학습지도 자원봉사 8
 
8.0%
재능나눔 과학교실 '사이언스 클라쓰' 6
 
6.0%
문화교육 프로그램 보조 4
 
4.0%
청소년 시설 이용 안내, 코로나19 사태 대응 관련 이용자 안전 관리 3
 
3.0%
역사와 융합과학의 만남 시즌1 프로그램 운영 교육봉사활동 3
 
3.0%
에덴지역아동센터 한자수업 2
 
2.0%
초등학생 학습지도 (운영터전) 2
 
2.0%
과학재능기부봉사활동 2
 
2.0%
Other values (8) 8
 
8.0%

Length

2023-12-10T19:09:00.727131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교육봉사활동 47
 
13.3%
초.중학생 44
 
12.4%
달성군 26
 
7.3%
꿈드림 26
 
7.3%
자원봉사 26
 
7.3%
멘토링 20
 
5.6%
학습 18
 
5.1%
학습지도 11
 
3.1%
프로그램 8
 
2.3%
재능나눔 6
 
1.7%
Other values (56) 122
34.5%

main_cn
Categorical

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)
44 
검정고시 학습지도 교육봉사 활동
16 
검정고시 과목 학습지도 교육자원봉사
9 
우유로 만드는 플라스틱&코끼리 치약 실험
6 
문화교육 프로그램 보조
 
4
Other values (13)
21 

Length

Max length50
Median length36
Mean length23.28
Min length4

Unique

Unique8 ?
Unique (%)8.0%

Sample

1st row<NA>
2nd row비대면 청소년자원봉사 프로그램 개발 및 운영
3rd row<NA>
4th row<NA>
5th row에덴지역아동센터 한자수업

Common Values

ValueCountFrequency (%)
초.중학생 교육봉사활동 (숙제지도 및 보충학습지도) 44
44.0%
검정고시 학습지도 교육봉사 활동 16
 
16.0%
검정고시 과목 학습지도 교육자원봉사 9
 
9.0%
우유로 만드는 플라스틱&코끼리 치약 실험 6
 
6.0%
문화교육 프로그램 보조 4
 
4.0%
금산청소년미래센터 청소년 시설 이용 안내, 코로나19 사태 대응 관련 이용자 안전 관리 등 3
 
3.0%
역사와 융합과학의 만남 시즌1 역사프로그램 운영 교육봉사 활동 3
 
3.0%
<NA> 3
 
3.0%
에덴지역아동센터 한자수업 2
 
2.0%
과학재능기부봉사활동 2
 
2.0%
Other values (8) 8
 
8.0%

Length

2023-12-10T19:09:00.975074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 46
 
9.8%
초.중학생 44
 
9.4%
숙제지도 44
 
9.4%
보충학습지도 44
 
9.4%
교육봉사활동 44
 
9.4%
검정고시 27
 
5.7%
학습지도 26
 
5.5%
교육봉사 20
 
4.3%
활동 20
 
4.3%
과목 9
 
1.9%
Other values (55) 146
31.1%

act_place
Categorical

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대구광역시 남구 성명공원길18 1층
44 
달성군학교밖청소년지원센터 교육활동실
19 
달성군학교박청소년지원센터 교육활동실
8 
영월군청소년수련관 2층 어라연
6 
광주광역시각화청소년문화의집 2층 문화마루
 
4
Other values (12)
19 

Length

Max length22
Median length19
Mean length17.18
Min length6

Unique

Unique7 ?
Unique (%)7.0%

Sample

1st row동의과학대학
2nd row대구청소년지원재단
3rd row선임지역아동센터
4th row선임지역아동센터
5th row에덴지역아동센터

Common Values

ValueCountFrequency (%)
대구광역시 남구 성명공원길18 1층 44
44.0%
달성군학교밖청소년지원센터 교육활동실 19
19.0%
달성군학교박청소년지원센터 교육활동실 8
 
8.0%
영월군청소년수련관 2층 어라연 6
 
6.0%
광주광역시각화청소년문화의집 2층 문화마루 4
 
4.0%
금산청소년미래센터 3
 
3.0%
도남청소년문화의집 3
 
3.0%
선임지역아동센터 2
 
2.0%
에덴지역아동센터 2
 
2.0%
이도1동청소년문화의집 2
 
2.0%
Other values (7) 7
 
7.0%

Length

2023-12-10T19:09:01.225138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 44
15.4%
성명공원길18 44
15.4%
1층 44
15.4%
남구 44
15.4%
교육활동실 27
9.5%
달성군학교밖청소년지원센터 19
6.7%
2층 11
 
3.9%
달성군학교박청소년지원센터 8
 
2.8%
영월군청소년수련관 6
 
2.1%
어라연 6
 
2.1%
Other values (19) 32
11.2%

prmtrls
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
단정한 복장과 청소년들을 사랑하는 마음가짐
44 
없음
27 
<NA>
16 
개인 마스크
6 
활동하기 편한 복장, 운동화, 마스크 착용, 마실물 지참
 
3
Other values (2)
 
4

Length

Max length31
Median length23
Mean length13.28
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
단정한 복장과 청소년들을 사랑하는 마음가짐 44
44.0%
없음 27
27.0%
<NA> 16
 
16.0%
개인 마스크 6
 
6.0%
활동하기 편한 복장, 운동화, 마스크 착용, 마실물 지참 3
 
3.0%
간편한 복장, 운동화,마스크착용 필수 3
 
3.0%
문제집, 필기도구 1
 
1.0%

Length

2023-12-10T19:09:01.458663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:01.654097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단정한 44
14.1%
청소년들을 44
14.1%
사랑하는 44
14.1%
마음가짐 44
14.1%
복장과 44
14.1%
없음 27
8.6%
na 16
 
5.1%
마스크 9
 
2.9%
개인 6
 
1.9%
복장 6
 
1.9%
Other values (11) 29
9.3%

reqstposbl_bgn_ymd
Real number (ℝ)

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223145
Minimum20200101
Maximum20601226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:01.980776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200101
5-th percentile20210428
Q120210428
median20210428
Q320210712
95-th percentile20213891
Maximum20601226
Range401125
Interquartile range (IQR)284.25

Descriptive statistics

Standard deviation67383.77
Coefficient of variation (CV)0.0033320125
Kurtosis28.823536
Mean20223145
Median Absolute Deviation (MAD)0
Skewness5.4615973
Sum2.0223145 × 109
Variance4.5405724 × 109
MonotonicityNot monotonic
2023-12-10T19:09:02.294905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20210428 52
52.0%
20200101 3
 
3.0%
20210508 2
 
2.0%
20210820 2
 
2.0%
20210730 2
 
2.0%
20601226 1
 
1.0%
20210624 1
 
1.0%
20210709 1
 
1.0%
20210708 1
 
1.0%
20210705 1
 
1.0%
Other values (34) 34
34.0%
ValueCountFrequency (%)
20200101 3
 
3.0%
20210428 52
52.0%
20210501 1
 
1.0%
20210503 1
 
1.0%
20210505 1
 
1.0%
20210508 2
 
2.0%
20210509 1
 
1.0%
20210516 1
 
1.0%
20210518 1
 
1.0%
20210522 1
 
1.0%
ValueCountFrequency (%)
20601226 1
1.0%
20601225 1
1.0%
20601223 1
1.0%
20270520 1
1.0%
20270323 1
1.0%
20210921 1
1.0%
20210820 2
2.0%
20210817 1
1.0%
20210814 1
1.0%
20210813 1
1.0%

reqstposbl_end_ymd
Real number (ℝ)

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223499
Minimum20200919
Maximum20610124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:02.618879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200919
5-th percentile20210497
Q120210514
median20210529
Q320210714
95-th percentile20214186
Maximum20610124
Range409205
Interquartile range (IQR)199.75

Descriptive statistics

Standard deviation68876.44
Coefficient of variation (CV)0.0034057627
Kurtosis28.878443
Mean20223499
Median Absolute Deviation (MAD)73.5
Skewness5.4682696
Sum2.0223499 × 109
Variance4.7439639 × 109
MonotonicityNot monotonic
2023-12-10T19:09:02.881817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210508 4
 
4.0%
20210521 3
 
3.0%
20210515 3
 
3.0%
20210522 3
 
3.0%
20210514 3
 
3.0%
20210528 2
 
2.0%
20210820 2
 
2.0%
20210507 2
 
2.0%
20210511 2
 
2.0%
20210505 2
 
2.0%
Other values (70) 74
74.0%
ValueCountFrequency (%)
20200919 1
1.0%
20201008 1
1.0%
20201009 1
1.0%
20210428 1
1.0%
20210430 1
1.0%
20210501 1
1.0%
20210502 1
1.0%
20210503 1
1.0%
20210504 1
1.0%
20210505 2
2.0%
ValueCountFrequency (%)
20610124 1
1.0%
20610123 1
1.0%
20610121 1
1.0%
20270520 1
1.0%
20270323 1
1.0%
20211231 1
1.0%
20210921 1
1.0%
20210820 2
2.0%
20210817 1
1.0%
20210814 1
1.0%

canclposbl_bgn_ymd
Real number (ℝ)

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223410
Minimum20200101
Maximum20610118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:03.205275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200101
5-th percentile20210428
Q120210428
median20210428
Q320210713
95-th percentile20213891
Maximum20610118
Range410017
Interquartile range (IQR)285.25

Descriptive statistics

Standard deviation68896.091
Coefficient of variation (CV)0.0034067494
Kurtosis28.869461
Mean20223410
Median Absolute Deviation (MAD)0
Skewness5.4670575
Sum2.022341 × 109
Variance4.7466713 × 109
MonotonicityNot monotonic
2023-12-10T19:09:03.624248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20210428 52
52.0%
20200101 3
 
3.0%
20210710 2
 
2.0%
20210508 2
 
2.0%
20210821 2
 
2.0%
20210814 2
 
2.0%
20210724 2
 
2.0%
20210731 2
 
2.0%
20210605 1
 
1.0%
20210706 1
 
1.0%
Other values (31) 31
31.0%
ValueCountFrequency (%)
20200101 3
 
3.0%
20210406 1
 
1.0%
20210428 52
52.0%
20210501 1
 
1.0%
20210503 1
 
1.0%
20210505 1
 
1.0%
20210508 2
 
2.0%
20210509 1
 
1.0%
20210516 1
 
1.0%
20210519 1
 
1.0%
ValueCountFrequency (%)
20610118 1
1.0%
20610117 1
1.0%
20610115 1
1.0%
20270520 1
1.0%
20270323 1
1.0%
20210921 1
1.0%
20210821 2
2.0%
20210818 1
1.0%
20210814 2
2.0%
20210811 1
1.0%

canclposbl_end_ymd
Real number (ℝ)

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223499
Minimum20200919
Maximum20610124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:03.868042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200919
5-th percentile20210497
Q120210514
median20210528
Q320210715
95-th percentile20214186
Maximum20610124
Range409205
Interquartile range (IQR)200.75

Descriptive statistics

Standard deviation68876.402
Coefficient of variation (CV)0.0034057608
Kurtosis28.878446
Mean20223499
Median Absolute Deviation (MAD)74
Skewness5.4682699
Sum2.0223499 × 109
Variance4.7439588 × 109
MonotonicityNot monotonic
2023-12-10T19:09:04.099682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210508 4
 
4.0%
20210522 4
 
4.0%
20210521 3
 
3.0%
20210514 3
 
3.0%
20210515 3
 
3.0%
20210511 2
 
2.0%
20210724 2
 
2.0%
20210731 2
 
2.0%
20210520 2
 
2.0%
20210505 2
 
2.0%
Other values (67) 73
73.0%
ValueCountFrequency (%)
20200919 1
1.0%
20201008 1
1.0%
20201009 1
1.0%
20210428 1
1.0%
20210430 1
1.0%
20210501 1
1.0%
20210502 1
1.0%
20210503 1
1.0%
20210504 1
1.0%
20210505 2
2.0%
ValueCountFrequency (%)
20610124 1
1.0%
20610123 1
1.0%
20610121 1
1.0%
20270520 1
1.0%
20270323 1
1.0%
20211231 1
1.0%
20210922 1
1.0%
20210821 2
2.0%
20210818 1
1.0%
20210814 2
2.0%

updt_dt
Date

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2011-01-20 04:27:55
Maximum2021-04-28 12:51:39
2023-12-10T19:09:04.355246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:09:04.607736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

act_ctprvn_code
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20004.6
Minimum20001
Maximum20016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:04.874177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001
5-th percentile20003
Q120003
median20003
Q320003
95-th percentile20016
Maximum20016
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6431754
Coefficient of variation (CV)0.00018211689
Kurtosis3.7054517
Mean20004.6
Median Absolute Deviation (MAD)0
Skewness2.1680569
Sum2000460
Variance13.272727
MonotonicityNot monotonic
2023-12-10T19:09:05.076222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20003 74
74.0%
20009 7
 
7.0%
20016 6
 
6.0%
20011 4
 
4.0%
20005 4
 
4.0%
20002 3
 
3.0%
20008 1
 
1.0%
20001 1
 
1.0%
ValueCountFrequency (%)
20001 1
 
1.0%
20002 3
 
3.0%
20003 74
74.0%
20005 4
 
4.0%
20008 1
 
1.0%
20009 7
 
7.0%
20011 4
 
4.0%
20016 6
 
6.0%
ValueCountFrequency (%)
20016 6
 
6.0%
20011 4
 
4.0%
20009 7
 
7.0%
20008 1
 
1.0%
20005 4
 
4.0%
20003 74
74.0%
20002 3
 
3.0%
20001 1
 
1.0%

act_ctprvn_code_nm
Categorical

IMBALANCE 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대구광역시
74 
강원도
 
7
제주특별자치도
 
6
충청남도
 
4
광주광역시
 
4
Other values (3)
 
5

Length

Max length7
Median length5
Mean length4.92
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row부산광역시
2nd row대구광역시
3rd row부산광역시
4th row부산광역시
5th row대구광역시

Common Values

ValueCountFrequency (%)
대구광역시 74
74.0%
강원도 7
 
7.0%
제주특별자치도 6
 
6.0%
충청남도 4
 
4.0%
광주광역시 4
 
4.0%
부산광역시 3
 
3.0%
경기도 1
 
1.0%
서울특별시 1
 
1.0%

Length

2023-12-10T19:09:05.314690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:05.517335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 74
74.0%
강원도 7
 
7.0%
제주특별자치도 6
 
6.0%
충청남도 4
 
4.0%
광주광역시 4
 
4.0%
부산광역시 3
 
3.0%
경기도 1
 
1.0%
서울특별시 1
 
1.0%

onetme_progrm_sn
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3705503.2
Minimum0
Maximum8897925
Zeros58
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:05.719246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38786947
95-th percentile8880231
Maximum8897925
Range8897925
Interquartile range (IQR)8786947

Descriptive statistics

Standard deviation4376523
Coefficient of variation (CV)1.1810873
Kurtosis-1.9303933
Mean3705503.2
Median Absolute Deviation (MAD)0
Skewness0.32928015
Sum3.7055032 × 108
Variance1.9153953 × 1013
MonotonicityNot monotonic
2023-12-10T19:09:05.906439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 58
58.0%
8786929 9
 
9.0%
8786960 8
 
8.0%
8786947 8
 
8.0%
8878418 6
 
6.0%
8897925 4
 
4.0%
8880231 3
 
3.0%
8846607 1
 
1.0%
8786922 1
 
1.0%
8876386 1
 
1.0%
ValueCountFrequency (%)
0 58
58.0%
8786922 1
 
1.0%
8786929 9
 
9.0%
8786947 8
 
8.0%
8786960 8
 
8.0%
8846607 1
 
1.0%
8863892 1
 
1.0%
8876386 1
 
1.0%
8878418 6
 
6.0%
8880231 3
 
3.0%
ValueCountFrequency (%)
8897925 4
4.0%
8880231 3
 
3.0%
8878418 6
6.0%
8876386 1
 
1.0%
8863892 1
 
1.0%
8846607 1
 
1.0%
8786960 8
8.0%
8786947 8
8.0%
8786929 9
9.0%
8786922 1
 
1.0%

fclty_grp_sn
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53747.31
Minimum30915
Maximum56094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:06.544399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30915
5-th percentile33271.2
Q155475
median55815
Q356094
95-th percentile56094
Maximum56094
Range25179
Interquartile range (IQR)619

Descriptive statistics

Standard deviation5884.0761
Coefficient of variation (CV)0.10947666
Kurtosis9.8592703
Mean53747.31
Median Absolute Deviation (MAD)279
Skewness-3.2654102
Sum5374731
Variance34622351
MonotonicityNot monotonic
2023-12-10T19:09:06.778259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
56094 44
44.0%
55815 27
27.0%
51552 6
 
6.0%
55533 4
 
4.0%
30915 3
 
3.0%
50159 3
 
3.0%
55243 3
 
3.0%
50195 2
 
2.0%
31907 2
 
2.0%
33343 1
 
1.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
30915 3
3.0%
31907 2
 
2.0%
33343 1
 
1.0%
50159 3
3.0%
50195 2
 
2.0%
50771 1
 
1.0%
51279 1
 
1.0%
51489 1
 
1.0%
51552 6
6.0%
52808 1
 
1.0%
ValueCountFrequency (%)
56094 44
44.0%
55815 27
27.0%
55533 4
 
4.0%
55301 1
 
1.0%
55243 3
 
3.0%
52808 1
 
1.0%
51552 6
 
6.0%
51489 1
 
1.0%
51279 1
 
1.0%
50771 1
 
1.0%

fclty_grpclub_sn
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9911.41
Minimum0
Maximum111438
Zeros91
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:07.016990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile110776.65
Maximum111438
Range111438
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31678.039
Coefficient of variation (CV)3.1961184
Kurtosis6.602855
Mean9911.41
Median Absolute Deviation (MAD)0
Skewness2.9101293
Sum991141
Variance1.0034982 × 109
MonotonicityNot monotonic
2023-12-10T19:09:07.261959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 91
91.0%
111112 4
 
4.0%
107715 2
 
2.0%
110759 1
 
1.0%
111438 1
 
1.0%
109066 1
 
1.0%
ValueCountFrequency (%)
0 91
91.0%
107715 2
 
2.0%
109066 1
 
1.0%
110759 1
 
1.0%
111112 4
 
4.0%
111438 1
 
1.0%
ValueCountFrequency (%)
111438 1
 
1.0%
111112 4
 
4.0%
110759 1
 
1.0%
109066 1
 
1.0%
107715 2
 
2.0%
0 91
91.0%

act_relm_code
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
113001
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row113001
2nd row113001
3rd row113001
4th row113001
5th row113001

Common Values

ValueCountFrequency (%)
113001 100
100.0%

Length

2023-12-10T19:09:07.460865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:07.612820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
113001 100
100.0%

act_relm_code_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
봉사활동
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row봉사활동
2nd row봉사활동
3rd row봉사활동
4th row봉사활동
5th row봉사활동

Common Values

ValueCountFrequency (%)
봉사활동 100
100.0%

Length

2023-12-10T19:09:07.778373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:07.998159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉사활동 100
100.0%

detail_cn_code
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
115002
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row115002
2nd row115002
3rd row115002
4th row115002
5th row115002

Common Values

ValueCountFrequency (%)
115002 100
100.0%

Length

2023-12-10T19:09:08.168454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:08.330682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
115002 100
100.0%

detail_cn_code_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
교육(지도)봉사
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육(지도)봉사
2nd row교육(지도)봉사
3rd row교육(지도)봉사
4th row교육(지도)봉사
5th row교육(지도)봉사

Common Values

ValueCountFrequency (%)
교육(지도)봉사 100
100.0%

Length

2023-12-10T19:09:08.487898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:08.660029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육(지도)봉사 100
100.0%

bsns_code
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
117049
 
3

Length

Max length6
Median length4
Mean length4.06
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row117049
2nd row<NA>
3rd row117049
4th row117049
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
117049 3
 
3.0%

Length

2023-12-10T19:09:08.967260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:09.220696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
117049 3
 
3.0%

bsns_code_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
봉사활동터전연계/비예산
 
3

Length

Max length12
Median length4
Mean length4.24
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
봉사활동터전연계/비예산 3
 
3.0%

Length

2023-12-10T19:09:09.474814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:09.660339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
봉사활동터전연계/비예산 3
 
3.0%

regist_ctprvn_code
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20004.6
Minimum20001
Maximum20016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:09.787199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001
5-th percentile20003
Q120003
median20003
Q320003
95-th percentile20016
Maximum20016
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6431754
Coefficient of variation (CV)0.00018211689
Kurtosis3.7054517
Mean20004.6
Median Absolute Deviation (MAD)0
Skewness2.1680569
Sum2000460
Variance13.272727
MonotonicityNot monotonic
2023-12-10T19:09:09.953172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20003 74
74.0%
20009 7
 
7.0%
20016 6
 
6.0%
20011 4
 
4.0%
20005 4
 
4.0%
20002 3
 
3.0%
20008 1
 
1.0%
20001 1
 
1.0%
ValueCountFrequency (%)
20001 1
 
1.0%
20002 3
 
3.0%
20003 74
74.0%
20005 4
 
4.0%
20008 1
 
1.0%
20009 7
 
7.0%
20011 4
 
4.0%
20016 6
 
6.0%
ValueCountFrequency (%)
20016 6
 
6.0%
20011 4
 
4.0%
20009 7
 
7.0%
20008 1
 
1.0%
20005 4
 
4.0%
20003 74
74.0%
20002 3
 
3.0%
20001 1
 
1.0%

regist_ctprvn_code_nm
Categorical

IMBALANCE 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대구광역시
74 
강원도
 
7
제주특별자치도
 
6
충청남도
 
4
광주광역시
 
4
Other values (3)
 
5

Length

Max length7
Median length5
Mean length4.92
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row부산광역시
2nd row대구광역시
3rd row부산광역시
4th row부산광역시
5th row대구광역시

Common Values

ValueCountFrequency (%)
대구광역시 74
74.0%
강원도 7
 
7.0%
제주특별자치도 6
 
6.0%
충청남도 4
 
4.0%
광주광역시 4
 
4.0%
부산광역시 3
 
3.0%
경기도 1
 
1.0%
서울특별시 1
 
1.0%

Length

2023-12-10T19:09:10.179268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:10.385180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 74
74.0%
강원도 7
 
7.0%
제주특별자치도 6
 
6.0%
충청남도 4
 
4.0%
광주광역시 4
 
4.0%
부산광역시 3
 
3.0%
경기도 1
 
1.0%
서울특별시 1
 
1.0%

act_signgu_code
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)11.3%
Missing3
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean24686.34
Minimum21009
Maximum36002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:10.578561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21009
5-th percentile23005
Q123005
median23007
Q323007
95-th percentile36002
Maximum36002
Range14993
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3669.9229
Coefficient of variation (CV)0.14866209
Kurtosis3.5115369
Mean24686.34
Median Absolute Deviation (MAD)2
Skewness2.1313514
Sum2394575
Variance13468334
MonotonicityNot monotonic
2023-12-10T19:09:10.880279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
23005 46
46.0%
23007 27
27.0%
36002 6
 
6.0%
29008 6
 
6.0%
25002 4
 
4.0%
31003 3
 
3.0%
23003 1
 
1.0%
31013 1
 
1.0%
28043 1
 
1.0%
29011 1
 
1.0%
(Missing) 3
 
3.0%
ValueCountFrequency (%)
21009 1
 
1.0%
23003 1
 
1.0%
23005 46
46.0%
23007 27
27.0%
25002 4
 
4.0%
28043 1
 
1.0%
29008 6
 
6.0%
29011 1
 
1.0%
31003 3
 
3.0%
31013 1
 
1.0%
ValueCountFrequency (%)
36002 6
 
6.0%
31013 1
 
1.0%
31003 3
 
3.0%
29011 1
 
1.0%
29008 6
 
6.0%
28043 1
 
1.0%
25002 4
 
4.0%
23007 27
27.0%
23005 46
46.0%
23003 1
 
1.0%

act_signgu_code_nm
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
남구
46 
달성군
27 
제주시
6 
영월군
6 
북구
 
4
Other values (7)
11 

Length

Max length4
Median length2
Mean length2.53
Min length2

Unique

Unique5 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 46
46.0%
달성군 27
27.0%
제주시 6
 
6.0%
영월군 6
 
6.0%
북구 4
 
4.0%
<NA> 3
 
3.0%
금산군 3
 
3.0%
중구 1
 
1.0%
천안시 1
 
1.0%
의정부시 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T19:09:11.124036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남구 46
46.0%
달성군 27
27.0%
제주시 6
 
6.0%
영월군 6
 
6.0%
북구 4
 
4.0%
na 3
 
3.0%
금산군 3
 
3.0%
중구 1
 
1.0%
천안시 1
 
1.0%
의정부시 1
 
1.0%
Other values (2) 2
 
2.0%

crtfc_time
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.49
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:11.411950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q37
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.3889265
Coefficient of variation (CV)0.53205489
Kurtosis-1.8550069
Mean4.49
Median Absolute Deviation (MAD)2
Skewness0.026233567
Sum449
Variance5.7069697
MonotonicityNot monotonic
2023-12-10T19:09:11.626893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 44
44.0%
2 36
36.0%
4 10
 
10.0%
3 6
 
6.0%
1 3
 
3.0%
8 1
 
1.0%
ValueCountFrequency (%)
1 3
 
3.0%
2 36
36.0%
3 6
 
6.0%
4 10
 
10.0%
7 44
44.0%
8 1
 
1.0%
ValueCountFrequency (%)
8 1
 
1.0%
7 44
44.0%
4 10
 
10.0%
3 6
 
6.0%
2 36
36.0%
1 3
 
3.0%

act_cn
Categorical

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조
43 
학교밖 청소년에게 검정고시 필수 과목 학습지도 교육봉사 실시
16 
학교밖 청소년에게 검정고시 필수 과목 학습지도 교육자원봉사 실시
10 
초등학생 4~6학년 대상으로 다양한 과학실험을 통해 호기심을 자극, 과학의 즐거움을 찾아주고 교육봉사의 보람과 진로 탐색의 경험을 위해 재능나눔 활동에 참여
6 
장영실 과학교실 강의실 세팅, 실험보조, 강의실 정
 
4
Other values (18)
21 

Length

Max length106
Median length87
Mean length47.83
Min length4

Unique

Unique16 ?
Unique (%)16.0%

Sample

1st row현장체험학습 안내
2nd row비대면 청소년자원봉사 프로그램 개발 및 운영
3rd row학습지도
4th row초등학생 학습지도 해주실분 모십니다.
5th row한자퀴즈, 핵심자소 1~12, 한자씽씽읽기, 다지기, 7급 한자테스트

Common Values

ValueCountFrequency (%)
1. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조 43
43.0%
학교밖 청소년에게 검정고시 필수 과목 학습지도 교육봉사 실시 16
 
16.0%
학교밖 청소년에게 검정고시 필수 과목 학습지도 교육자원봉사 실시 10
 
10.0%
초등학생 4~6학년 대상으로 다양한 과학실험을 통해 호기심을 자극, 과학의 즐거움을 찾아주고 교육봉사의 보람과 진로 탐색의 경험을 위해 재능나눔 활동에 참여 6
 
6.0%
장영실 과학교실 강의실 세팅, 실험보조, 강의실 정 4
 
4.0%
금산청소년미래센터 청소년 시설 이용 안내, 코로나19 사태 대응 관련 이용자 안전 관리 등 - 방문자 방명록 작성 안내, 손소독제 사용 안내, 체온 측정, 이용자 시설 사용 후 소독 및 방역 3
 
3.0%
-기본교육 -프로그램 운영 -프로그램 평가 -프로그램 마무리 및 뒷정리 2
 
2.0%
비대면 청소년자원봉사 프로그램 개발 및 운영 1
 
1.0%
학습지도 1
 
1.0%
초등학생 학습지도 해주실분 모십니다. 1
 
1.0%
Other values (13) 13
 
13.0%

Length

2023-12-10T19:09:12.093798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 98
 
8.4%
초등학생 52
 
4.4%
운영 48
 
4.1%
47
 
4.0%
보조 45
 
3.8%
1 44
 
3.8%
방과후 44
 
3.8%
아카데미 44
 
3.8%
방과후아카데미 44
 
3.8%
2 44
 
3.8%
Other values (116) 661
56.4%

refer_matter
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)
43 
<NA>
16 
학교밖청소년 특성 이해후 교육활동 참여
9 
학교밖 청소년 특성 이해후 활동
8 
학교밖 청소년 특성 이해 후 봉사활동 참여
8 
Other values (9)
16 

Length

Max length181
Median length164
Mean length89
Min length4

Unique

Unique7 ?
Unique (%)7.0%

Sample

1st row대학교를 돌아보는 안전에 주의해 주시면 감사하겠습니다.
2nd row<NA>
3rd row초등학생 학습지도
4th row초등학생 학습지도 해주실분 모십니다.
5th row<NA>

Common Values

ValueCountFrequency (%)
1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.) 43
43.0%
<NA> 16
 
16.0%
학교밖청소년 특성 이해후 교육활동 참여 9
 
9.0%
학교밖 청소년 특성 이해후 활동 8
 
8.0%
학교밖 청소년 특성 이해 후 봉사활동 참여 8
 
8.0%
영월고 과학동아리 Sci-Fi 재능나눔 과학교실 프로그램으로 수업을 진행하는 Sci-Fi 동아리원들만 신청가능합니다. 6
 
6.0%
코로나 19관련 안전수칙 준수 (봉사활동 시 마스크 착용 필수, 체온 37.5 이상 시 봉사활동 불가)/개인정보를 최신 것으로 업데이트할 것/ 최소 10분 전까지 센터에서 대기/ 코로나19확산을 방지하기 위해 휴관할 경우 취소/코로나19확산우려가 있으므로 타 시,군에 거주하는 청소년들에게는 신청제한이 있으니 참고 바랍니다. 3
 
3.0%
대학교를 돌아보는 안전에 주의해 주시면 감사하겠습니다. 1
 
1.0%
초등학생 학습지도 1
 
1.0%
초등학생 학습지도 해주실분 모십니다. 1
 
1.0%
Other values (4) 4
 
4.0%

Length

2023-12-10T19:09:12.337358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
않습니다 88
 
4.4%
88
 
4.4%
후 54
 
2.7%
이상 47
 
2.3%
최소 47
 
2.3%
신청 45
 
2.2%
자원봉사 45
 
2.2%
소통하는 44
 
2.2%
모집합니다 44
 
2.2%
청소년들을 44
 
2.2%
Other values (109) 1464
72.8%

partcpt_ct_at
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2023-12-10T19:09:12.529105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

partcpt_ct
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T19:09:12.695363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:12.850513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

partcpt_ct_use_dtls
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

tme
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.71
Minimum0
Maximum12
Zeros5
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:12.988610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q11
median1
Q34
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8508195
Coefficient of variation (CV)1.0519629
Kurtosis1.2996053
Mean2.71
Median Absolute Deviation (MAD)0
Skewness1.4820421
Sum271
Variance8.1271717
MonotonicityNot monotonic
2023-12-10T19:09:13.184330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 58
58.0%
4 6
 
6.0%
0 5
 
5.0%
5 5
 
5.0%
9 4
 
4.0%
8 4
 
4.0%
7 4
 
4.0%
6 4
 
4.0%
3 4
 
4.0%
2 4
 
4.0%
ValueCountFrequency (%)
0 5
 
5.0%
1 58
58.0%
2 4
 
4.0%
3 4
 
4.0%
4 6
 
6.0%
5 5
 
5.0%
6 4
 
4.0%
7 4
 
4.0%
8 4
 
4.0%
9 4
 
4.0%
ValueCountFrequency (%)
12 2
 
2.0%
9 4
 
4.0%
8 4
 
4.0%
7 4
 
4.0%
6 4
 
4.0%
5 5
 
5.0%
4 6
 
6.0%
3 4
 
4.0%
2 4
 
4.0%
1 58
58.0%

grp_se_code
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

grp_se_code_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

grp_fclty_grp_sn
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T19:09:13.389916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:13.562293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

grp_fclty_grpclub_sn
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T19:09:13.764509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:13.927714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

grp_schul_code
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

grp_schul_code_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

grp_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

essntlcompl_at
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2023-12-10T19:09:14.068536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

sttus_code
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
109002
63 
109004
29 
109001
 
4
109003
 
4

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row109001
2nd row109003
3rd row109001
4th row109001
5th row109004

Common Values

ValueCountFrequency (%)
109002 63
63.0%
109004 29
29.0%
109001 4
 
4.0%
109003 4
 
4.0%

Length

2023-12-10T19:09:14.298939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:14.484670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
109002 63
63.0%
109004 29
29.0%
109001 4
 
4.0%
109003 4
 
4.0%

sttus_code_nm
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
활동중
63 
활동취소
29 
삭제
 
4
활동완료
 
4

Length

Max length4
Median length3
Mean length3.29
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row삭제
2nd row활동완료
3rd row삭제
4th row삭제
5th row활동취소

Common Values

ValueCountFrequency (%)
활동중 63
63.0%
활동취소 29
29.0%
삭제 4
 
4.0%
활동완료 4
 
4.0%

Length

2023-12-10T19:09:14.716320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:14.926306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활동중 63
63.0%
활동취소 29
29.0%
삭제 4
 
4.0%
활동완료 4
 
4.0%

rcrit_nmpr_se_code
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
204001
99 
204002
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row204001
2nd row204001
3rd row204001
4th row204002
5th row204001

Common Values

ValueCountFrequency (%)
204001 99
99.0%
204002 1
 
1.0%

Length

2023-12-10T19:09:15.130684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:15.314923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
204001 99
99.0%
204002 1
 
1.0%

rcrit_nmpr_se_code_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전체
99 
개별
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row전체
2nd row전체
3rd row전체
4th row개별
5th row전체

Common Values

ValueCountFrequency (%)
전체 99
99.0%
개별 1
 
1.0%

Length

2023-12-10T19:09:15.505596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:15.664617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
99.0%
개별 1
 
1.0%

rcrit_nmpr_co
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:15.802134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q35
95-th percentile13
Maximum13
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3044201
Coefficient of variation (CV)0.73431557
Kurtosis0.81116646
Mean4.5
Median Absolute Deviation (MAD)1
Skewness1.0455241
Sum450
Variance10.919192
MonotonicityNot monotonic
2023-12-10T19:09:16.010151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 45
45.0%
1 31
31.0%
10 8
 
8.0%
4 8
 
8.0%
13 6
 
6.0%
2 2
 
2.0%
ValueCountFrequency (%)
1 31
31.0%
2 2
 
2.0%
4 8
 
8.0%
5 45
45.0%
10 8
 
8.0%
13 6
 
6.0%
ValueCountFrequency (%)
13 6
 
6.0%
10 8
 
8.0%
5 45
45.0%
4 8
 
8.0%
2 2
 
2.0%
1 31
31.0%

old_reqst_no
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing97
Missing (%)97.0%
Memory size932.0 B
2023-12-10T19:09:16.294431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters36
Distinct characters8
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowS20110117287
2nd rowS20110116147
3rd rowS20110116768
ValueCountFrequency (%)
s20110117287 1
33.3%
s20110116147 1
33.3%
s20110116768 1
33.3%
2023-12-10T19:09:16.917422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
36.1%
0 6
16.7%
2 4
 
11.1%
7 4
 
11.1%
S 3
 
8.3%
6 3
 
8.3%
8 2
 
5.6%
4 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33
91.7%
Uppercase Letter 3
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
39.4%
0 6
18.2%
2 4
 
12.1%
7 4
 
12.1%
6 3
 
9.1%
8 2
 
6.1%
4 1
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
91.7%
Latin 3
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
39.4%
0 6
18.2%
2 4
 
12.1%
7 4
 
12.1%
6 3
 
9.1%
8 2
 
6.1%
4 1
 
3.0%
Latin
ValueCountFrequency (%)
S 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
36.1%
0 6
16.7%
2 4
 
11.1%
7 4
 
11.1%
S 3
 
8.3%
6 3
 
8.3%
8 2
 
5.6%
4 1
 
2.8%

old_instt_code
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
201012001
 
3

Length

Max length9
Median length4
Mean length4.15
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201012001
2nd row<NA>
3rd row201012001
4th row201012001
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
201012001 3
 
3.0%

Length

2023-12-10T19:09:17.273344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:17.448851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
201012001 3
 
3.0%

old_instt_code_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

old_instt_id
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
mimi825
 
3

Length

Max length7
Median length4
Mean length4.09
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmimi825
2nd row<NA>
3rd rowmimi825
4th rowmimi825
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
mimi825 3
 
3.0%

Length

2023-12-10T19:09:17.629039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:09:17.791881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
mimi825 3
 
3.0%

old_club_code
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

old_club_code_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

use_at
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
True
96 
False
 
4
ValueCountFrequency (%)
True 96
96.0%
False 4
 
4.0%
2023-12-10T19:09:17.978196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

regist_dt
Date

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2011-01-20 04:27:55
Maximum2021-04-28 12:51:39
2023-12-10T19:09:18.156723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:09:18.413501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

actbegin_ymd
Real number (ℝ)

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223494
Minimum20200920
Maximum20610125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:18.784525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200920
5-th percentile20210501
Q120210514
median20210529
Q320210713
95-th percentile20213892
Maximum20610125
Range409205
Interquartile range (IQR)199.5

Descriptive statistics

Standard deviation68877.572
Coefficient of variation (CV)0.0034058196
Kurtosis28.878406
Mean20223494
Median Absolute Deviation (MAD)72.5
Skewness5.4682674
Sum2.0223494 × 109
Variance4.74412 × 109
MonotonicityNot monotonic
2023-12-10T19:09:19.056130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210508 4
 
4.0%
20210522 4
 
4.0%
20210509 3
 
3.0%
20210516 3
 
3.0%
20210515 3
 
3.0%
20210529 2
 
2.0%
20210724 2
 
2.0%
20210605 2
 
2.0%
20210731 2
 
2.0%
20210523 2
 
2.0%
Other values (66) 73
73.0%
ValueCountFrequency (%)
20200920 1
1.0%
20201009 1
1.0%
20201010 1
1.0%
20210428 1
1.0%
20210501 2
2.0%
20210502 1
1.0%
20210503 1
1.0%
20210504 1
1.0%
20210505 2
2.0%
20210506 1
1.0%
ValueCountFrequency (%)
20610125 1
1.0%
20610124 1
1.0%
20610122 1
1.0%
20270520 1
1.0%
20270323 1
1.0%
20210922 1
1.0%
20210821 2
2.0%
20210818 1
1.0%
20210814 2
2.0%
20210811 1
1.0%

actbegin_time
Date

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2023-12-10 01:00:00
Maximum2023-12-10 18:30:00
2023-12-10T19:09:19.230989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:09:19.415524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

actend_ymd
Real number (ℝ)

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223494
Minimum20200920
Maximum20610125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:09:19.671299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200920
5-th percentile20210501
Q120210514
median20210529
Q320210713
95-th percentile20213892
Maximum20610125
Range409205
Interquartile range (IQR)199.5

Descriptive statistics

Standard deviation68877.629
Coefficient of variation (CV)0.0034058224
Kurtosis28.878407
Mean20223494
Median Absolute Deviation (MAD)72.5
Skewness5.4682676
Sum2.0223494 × 109
Variance4.7441278 × 109
MonotonicityNot monotonic
2023-12-10T19:09:20.295692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210508 4
 
4.0%
20210522 4
 
4.0%
20210515 3
 
3.0%
20210509 3
 
3.0%
20210516 3
 
3.0%
20610125 2
 
2.0%
20210731 2
 
2.0%
20210501 2
 
2.0%
20210529 2
 
2.0%
20210512 2
 
2.0%
Other values (65) 73
73.0%
ValueCountFrequency (%)
20200920 1
1.0%
20201009 1
1.0%
20201010 1
1.0%
20210428 1
1.0%
20210501 2
2.0%
20210502 1
1.0%
20210503 1
1.0%
20210504 1
1.0%
20210505 2
2.0%
20210506 1
1.0%
ValueCountFrequency (%)
20610125 2
2.0%
20610122 1
1.0%
20270520 1
1.0%
20270323 1
1.0%
20210922 1
1.0%
20210821 2
2.0%
20210818 1
1.0%
20210814 2
2.0%
20210811 1
1.0%
20210810 1
1.0%

actend_time
Date

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2023-12-10 05:00:00
Maximum2023-12-10 20:00:00
2023-12-10T19:09:20.526699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:09:20.725887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

reg_agree_at
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.1%
Missing5
Missing (%)5.0%
Memory size332.0 B
True
95 
(Missing)
 
5
ValueCountFrequency (%)
True 95
95.0%
(Missing) 5
 
5.0%
2023-12-10T19:09:20.896864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

progrm_snprogrm_noregist_se_coderegist_se_code_nmdetail_ty_codedetail_ty_code_nmprogrm_nmmain_cnact_placeprmtrlsreqstposbl_bgn_ymdreqstposbl_end_ymdcanclposbl_bgn_ymdcanclposbl_end_ymdupdt_dtact_ctprvn_codeact_ctprvn_code_nmonetme_progrm_snfclty_grp_snfclty_grpclub_snact_relm_codeact_relm_code_nmdetail_cn_codedetail_cn_code_nmbsns_codebsns_code_nmregist_ctprvn_coderegist_ctprvn_code_nmact_signgu_codeact_signgu_code_nmcrtfc_timeact_cnrefer_matterpartcpt_ct_atpartcpt_ctpartcpt_ct_use_dtlstmegrp_se_codegrp_se_code_nmgrp_fclty_grp_sngrp_fclty_grpclub_sngrp_schul_codegrp_schul_code_nmgrp_nmessntlcompl_atsttus_codesttus_code_nmrcrit_nmpr_se_codercrit_nmpr_se_code_nmrcrit_nmpr_coold_reqst_noold_instt_codeold_instt_code_nmold_instt_idold_club_codeold_club_code_nmuse_atregist_dtactbegin_ymdactbegin_timeactend_ymdactend_timereg_agree_at
0920667PPGAS0820610125920667110001개별114001지역사회봉사활동동의과학대학 현장체험학습 도우미 (운영터전)<NA>동의과학대학<NA>206012262061012420610118206101242011-01-22 05:20:11.020002부산광역시0309150113001봉사활동115002교육(지도)봉사117049봉사활동터전연계/비예산20002부산광역시<NA><NA>4현장체험학습 안내대학교를 돌아보는 안전에 주의해 주시면 감사하겠습니다.N0<NA>0<NA><NA>00<NA><NA><NA>N109001삭제204001전체10S20110117287201012001<NA>mimi825<NA><NA>N2011-01-22 05:20:11.02061012514:002061012518:00<NA>
18846618PPG020003210115-8846618110003차수114001지역사회봉사활동비대면 청소년자원봉사 프로그램 개발 및 운영비대면 청소년자원봉사 프로그램 개발 및 운영대구청소년지원재단<NA>202001012020091920200101202009192021-01-15 03:25:20.020003대구광역시884660733343110759113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23003중구1비대면 청소년자원봉사 프로그램 개발 및 운영<NA>N0<NA>12<NA><NA>00<NA><NA><NA>N109003활동완료204001전체1<NA><NA><NA><NA><NA><NA>Y2021-01-15 03:25:20.02020092013:002020092014:00Y
2912171PPGAS0820610124912171110001개별114001지역사회봉사활동초등학생 학습지도 (운영터전)<NA>선임지역아동센터<NA>206012252061012320610117206101232011-01-20 04:27:55.020002부산광역시0309150113001봉사활동115002교육(지도)봉사117049봉사활동터전연계/비예산20002부산광역시<NA><NA>4학습지도초등학생 학습지도N0<NA>0<NA><NA>00<NA><NA><NA>N109001삭제204001전체1S20110116147201012001<NA>mimi825<NA><NA>N2011-01-20 04:27:55.02061012413:002061012517:00<NA>
3904530PPGAS0820610122904530110001개별114001지역사회봉사활동초등학생 학습지도 (운영터전)<NA>선임지역아동센터<NA>206012232061012120610115206101212011-01-21 03:03:48.020002부산광역시0309150113001봉사활동115002교육(지도)봉사117049봉사활동터전연계/비예산20002부산광역시<NA><NA>4초등학생 학습지도 해주실분 모십니다.초등학생 학습지도 해주실분 모십니다.N0<NA>0<NA><NA>00<NA><NA><NA>N109001삭제204002개별4S20110116768201012001<NA>mimi825<NA><NA>N2011-01-21 03:03:48.02061012201:00206101225:00<NA>
47371820PPGAS06170725-7371820110001개별114001지역사회봉사활동에덴지역아동센터 한자수업에덴지역아동센터 한자수업에덴지역아동센터<NA>202705202027052020270520202705202017-07-25 03:06:30.020003대구광역시0501950113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구1한자퀴즈, 핵심자소 1~12, 한자씽씽읽기, 다지기, 7급 한자테스트<NA>N0<NA>0<NA><NA>00<NA><NA><NA>N109004활동취소204001전체1<NA><NA><NA><NA><NA><NA>Y2017-07-25 03:06:30.02027052017:002027052018:00<NA>
57371803PPGAS06170725-7371803110001개별114001지역사회봉사활동에덴지역아동센터 한자수업에덴지역아동센터 한자수업에덴지역아동센터<NA>202703232027032320270323202703232017-07-25 03:01:45.020003대구광역시0501950113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구2한자퀴즈,핵심자소 1~12,한자씽씽읽기, 다지기, 7급 한자테스트<NA>N0<NA>0<NA><NA>00<NA><NA><NA>N109001삭제204001전체1<NA><NA><NA><NA><NA><NA>N2017-07-25 03:01:45.02027032316:002027032318:00<NA>
68796470PPG020003201013-8796470110001개별114001지역사회봉사활동달성군학교밖청소년지원센터 학습자원봉사학교밖청소년에게 검정고시 수학과목 학습지도달성군학교밖청소년지원센터 교육활동실없음202109212021092120210921202109222020-10-13 10:09:31.020003대구광역시0558150113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23007달성군2달성군학교밖청소년지원센터 학교밖 청소년에게 검정고시 관련 학습지도 자원봉사학교밖청소년의 특성을 이해한 후 자원봉사 참여N0<NA>1<NA><NA>00<NA><NA><NA>N109004활동취소204001전체1<NA><NA><NA><NA><NA><NA>Y2020-10-13 10:09:31.02021092211:002021092213:00Y
78843114PPG020016210112-8843114110001개별114001지역사회봉사활동과학재능기부봉사활동과학재능기부봉사활동이도1동청소년문화의집<NA>202001012020100820200101202010082021-01-12 02:00:52.020016제주특별자치도031907107715113001봉사활동115002교육(지도)봉사<NA><NA>20016제주특별자치도36002제주시2초등학생을 대상으로 "악취야 저리가라~ 향기로운 섬유탈취제 만들기"프로그램 진행을 위한 재료 소분<NA>N0<NA>1<NA><NA>00<NA><NA><NA>N109003활동완료204001전체10<NA><NA><NA><NA><NA><NA>Y2021-01-12 02:00:52.02020100909:002020100911:00Y
88786937PPG020003200908-8786937110003차수114001지역사회봉사활동달성군 꿈드림 학습 멘토링 자원봉사검정고시 과목 학습지도 교육자원봉사달성군학교밖청소년지원센터 교육활동실없음202108202021082020210821202108212020-09-08 03:02:25.020003대구광역시8786929558150113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23007달성군2학교밖 청소년에게 검정고시 필수 과목 학습지도 교육자원봉사 실시학교밖청소년 특성 이해후 교육활동 참여N0<NA>9<NA><NA>00<NA><NA><NA>N109004활동취소204001전체1<NA><NA><NA><NA><NA><NA>Y2020-09-08 03:02:25.02021082111:002021082113:00Y
98786967PPG020003200908-8786967110003차수114001지역사회봉사활동달성군 꿈드림 학습 멘토링 자원봉사검정고시 학습지도 교육봉사 활동달성군학교밖청소년지원센터 교육활동실없음202108202021082020210821202108212020-09-08 03:48:59.020003대구광역시8786960558150113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23007달성군2학교밖 청소년에게 검정고시 필수 과목 학습지도 교육봉사 실시학교밖 청소년 특성 이해후 활동N0<NA>8<NA><NA>00<NA><NA><NA>N109004활동취소204001전체1<NA><NA><NA><NA><NA><NA>Y2020-09-08 03:48:59.02021082114:002021082116:00Y
progrm_snprogrm_noregist_se_coderegist_se_code_nmdetail_ty_codedetail_ty_code_nmprogrm_nmmain_cnact_placeprmtrlsreqstposbl_bgn_ymdreqstposbl_end_ymdcanclposbl_bgn_ymdcanclposbl_end_ymdupdt_dtact_ctprvn_codeact_ctprvn_code_nmonetme_progrm_snfclty_grp_snfclty_grpclub_snact_relm_codeact_relm_code_nmdetail_cn_codedetail_cn_code_nmbsns_codebsns_code_nmregist_ctprvn_coderegist_ctprvn_code_nmact_signgu_codeact_signgu_code_nmcrtfc_timeact_cnrefer_matterpartcpt_ct_atpartcpt_ctpartcpt_ct_use_dtlstmegrp_se_codegrp_se_code_nmgrp_fclty_grp_sngrp_fclty_grpclub_sngrp_schul_codegrp_schul_code_nmgrp_nmessntlcompl_atsttus_codesttus_code_nmrcrit_nmpr_se_codercrit_nmpr_se_code_nmrcrit_nmpr_coold_reqst_noold_instt_codeold_instt_code_nmold_instt_idold_club_codeold_club_code_nmuse_atregist_dtactbegin_ymdactbegin_timeactend_ymdactend_timereg_agree_at
908898197PPG020003210428-8898197110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060220210428202106022021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021060313:002021060320:00Y
918898198PPG020003210428-8898198110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060320210428202106032021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021060413:002021060420:00Y
928898199PPG020003210428-8898199110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060420210428202106042021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021060513:002021060520:00Y
938898200PPG020003210428-8898200110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060520210428202106052021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021060613:002021060620:00Y
948898201PPG020003210428-8898201110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060620210428202106062021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021060713:002021060720:00Y
958898202PPG020003210428-8898202110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060720210428202106072021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021060813:002021060820:00Y
968898203PPG020003210428-8898203110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060820210428202106082021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021060913:002021060920:00Y
978898204PPG020003210428-8898204110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021060920210428202106092021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021061013:002021061020:00Y
988898205PPG020003210428-8898205110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021061020210428202106102021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021061113:002021061120:00Y
998898206PPG020003210428-8898206110002일괄114001지역사회봉사활동초.중학생 교육봉사활동초.중학생 교육봉사활동 (숙제지도 및 보충학습지도)대구광역시 남구 성명공원길18 1층단정한 복장과 청소년들을 사랑하는 마음가짐202104282021061120210428202106112021-04-28 04:23:51.020003대구광역시0560940113001봉사활동115002교육(지도)봉사<NA><NA>20003대구광역시23005남구71. 방과후아카데미 초등학생 및 중학생 숙제지도 및 교과학습지도 / 2. 방과후 아카데미 운영 보조1. 자원봉사 신청 전 필수적으로 기관에 전화 상담 후 신청해주세요. (오후1시~6시 문의 가능) / 2. 단기봉사활동은 받지 않습니다. 최소 3개월 이상 하실 분만 모집합니다! (* 청소년들을 직접적으로 만나고 소통하는 업무이기에 자주 선생님이 바뀌면 청소년들에게 정서적으로 좋지 않습니다.)N0<NA>1<NA><NA>00<NA><NA><NA>N109002활동중204001전체5<NA><NA><NA><NA><NA><NA>Y2021-04-28 04:23:51.02021061213:002021061220:00Y