Overview

Dataset statistics

Number of variables13
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory109.3 B

Variable types

Numeric4
Categorical7
Text2

Alerts

seq_no is highly overall correlated with signgu_nm and 1 other fieldsHigh correlation
act_begin_de is highly overall correlated with act_relm_nm and 1 other fieldsHigh correlation
act_end_de is highly overall correlated with signgu_nm and 1 other fieldsHigh correlation
area_nm is highly overall correlated with signgu_nm and 1 other fieldsHigh correlation
signgu_nm is highly overall correlated with seq_no and 3 other fieldsHigh correlation
oper_state_nm is highly overall correlated with act_end_de and 2 other fieldsHigh correlation
act_relm_nm is highly overall correlated with act_begin_deHigh correlation
rcrit_state_nm is highly overall correlated with act_begin_deHigh correlation
partcpt_ct_cn is highly overall correlated with seq_noHigh correlation
partcpt_ct_cn is highly imbalanced (87.9%)Imbalance
seq_no has unique valuesUnique
partcptn_nmpr_co has 7 (7.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:09:59.679432
Analysis finished2023-12-10 10:10:05.228888
Duration5.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

seq_no
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.1
Minimum1
Maximum1035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:05.440581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q127.75
median53.5
Q378.25
95-th percentile98.05
Maximum1035
Range1034
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation170.76793
Coefficient of variation (CV)2.1056465
Kurtosis28.130443
Mean81.1
Median Absolute Deviation (MAD)25.5
Skewness5.3529086
Sum8110
Variance29161.687
MonotonicityNot monotonic
2023-12-10T19:10:05.695634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
9 1
1.0%
10 1
1.0%
11 1
1.0%
12 1
1.0%
ValueCountFrequency (%)
1035 1
1.0%
1034 1
1.0%
1033 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

area_nm
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울
30 
경기
17 
경남
15 
충남
8 
대구
6 
Other values (7)
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남
2nd row충남
3rd row경남
4th row경남
5th row경남

Common Values

ValueCountFrequency (%)
서울 30
30.0%
경기 17
17.0%
경남 15
15.0%
충남 8
 
8.0%
대구 6
 
6.0%
인천 5
 
5.0%
충북 5
 
5.0%
광주 4
 
4.0%
세종 3
 
3.0%
강원 3
 
3.0%
Other values (2) 4
 
4.0%

Length

2023-12-10T19:10:05.954087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 30
30.0%
경기 17
17.0%
경남 15
15.0%
충남 8
 
8.0%
대구 6
 
6.0%
인천 5
 
5.0%
충북 5
 
5.0%
광주 4
 
4.0%
세종 3
 
3.0%
강원 3
 
3.0%
Other values (2) 4
 
4.0%

signgu_nm
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
성북구
8 
서구
 
6
창원시
 
5
화성시
 
5
부천시
 
4
Other values (39)
72 

Length

Max length4
Median length3
Mean length2.9
Min length2

Unique

Unique18 ?
Unique (%)18.0%

Sample

1st row창원시
2nd row서산시
3rd row창원시
4th row창원시
5th row창녕군

Common Values

ValueCountFrequency (%)
성북구 8
 
8.0%
서구 6
 
6.0%
창원시 5
 
5.0%
화성시 5
 
5.0%
부천시 4
 
4.0%
거제시 4
 
4.0%
제천시 4
 
4.0%
도봉구 3
 
3.0%
태안군 3
 
3.0%
세종시 3
 
3.0%
Other values (34) 55
55.0%

Length

2023-12-10T19:10:06.224046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성북구 8
 
8.0%
서구 6
 
6.0%
창원시 5
 
5.0%
화성시 5
 
5.0%
부천시 4
 
4.0%
거제시 4
 
4.0%
제천시 4
 
4.0%
원주시 3
 
3.0%
송파구 3
 
3.0%
강북구 3
 
3.0%
Other values (34) 55
55.0%

fclty_grp_nm
Text

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:10:06.649159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.85
Min length2

Characters and Unicode

Total characters985
Distinct characters110
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)27.0%

Sample

1st row창원시진해청소년전당
2nd row서산문화복지센터
3rd row창원시진해청소년전당
4th row창원시진해청소년전당
5th row경상남도청소년지원재단
ValueCountFrequency (%)
경상남도청소년지원재단 9
 
8.1%
성북청소년문화의집 5
 
4.5%
누림청소년문화의집 4
 
3.6%
부천시산울림청소년수련관 4
 
3.6%
가좌청소년센터 3
 
2.7%
창원시진해청소년전당 3
 
2.7%
강북청소년센터 3
 
2.7%
장락청소년문화의집 3
 
2.7%
바림 3
 
2.7%
서울시립성북청소년센터 3
 
2.7%
Other values (46) 71
64.0%
2023-12-10T19:10:07.636831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 94
 
9.5%
소 93
 
9.4%
년 93
 
9.4%
화 34
 
3.5%
수 33
 
3.4%
관 32
 
3.2%
문 31
 
3.1%
시 30
 
3.0%
터 28
 
2.8%
련 28
 
2.8%
Other values (100) 489
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 966
98.1%
Space Separator 11
 
1.1%
Uppercase Letter 3
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 94
 
9.7%
소 93
 
9.6%
년 93
 
9.6%
화 34
 
3.5%
수 33
 
3.4%
관 32
 
3.3%
문 31
 
3.2%
시 30
 
3.1%
터 28
 
2.9%
련 28
 
2.9%
Other values (93) 470
48.7%
Uppercase Letter
ValueCountFrequency (%)
W 1
33.3%
T 1
33.3%
H 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 966
98.1%
Common 15
 
1.5%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 94
 
9.7%
소 93
 
9.6%
년 93
 
9.6%
화 34
 
3.5%
수 33
 
3.4%
관 32
 
3.3%
문 31
 
3.2%
시 30
 
3.1%
터 28
 
2.9%
련 28
 
2.9%
Other values (93) 470
48.7%
Latin
ValueCountFrequency (%)
W 1
25.0%
i 1
25.0%
T 1
25.0%
H 1
25.0%
Common
ValueCountFrequency (%)
11
73.3%
) 2
 
13.3%
( 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 966
98.1%
ASCII 19
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 94
 
9.7%
소 93
 
9.6%
년 93
 
9.6%
화 34
 
3.5%
수 33
 
3.4%
관 32
 
3.3%
문 31
 
3.2%
시 30
 
3.1%
터 28
 
2.9%
련 28
 
2.9%
Other values (93) 470
48.7%
ASCII
ValueCountFrequency (%)
11
57.9%
) 2
 
10.5%
( 2
 
10.5%
W 1
 
5.3%
i 1
 
5.3%
T 1
 
5.3%
H 1
 
5.3%

act_nm
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:10:08.004938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length36
Mean length26.23
Min length10

Characters and Unicode

Total characters2623
Distinct characters303
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
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 row2020 창원시진해청소년참여위원회 '꽃비' 6차 정기회의
2nd row청소년수련관 3분기 교육프로그램-바이올린 교실(기초)
3rd row2020 진해청소년전당 동아리연합회 '하랑' 4분기 간담히
4th row2020 진해청소년전당 동아리연합회 '하랑' 임원 12월 정기회의
5th row[비대면프로그램] ★집콕아트 소나무접이식테이블만들기★
ValueCountFrequency (%)
모집 55
 
11.8%
청소년운영위원회 29
 
6.2%
2021년 28
 
6.0%
2021 13
 
2.8%
청소년 10
 
2.1%
위원 8
 
1.7%
신규위원 5
 
1.1%
동아리 5
 
1.1%
기술 4
 
0.9%
청소년동아리 4
 
0.9%
Other values (255) 306
65.5%
2023-12-10T19:10:08.786142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
367
 
14.0%
년 144
 
5.5%
청 116
 
4.4%
소 115
 
4.4%
2 103
 
3.9%
집 83
 
3.2%
원 75
 
2.9%
모 65
 
2.5%
위 61
 
2.3%
1 59
 
2.2%
Other values (293) 1435
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1814
69.2%
Space Separator 367
 
14.0%
Decimal Number 240
 
9.1%
Other Punctuation 78
 
3.0%
Uppercase Letter 34
 
1.3%
Open Punctuation 32
 
1.2%
Close Punctuation 32
 
1.2%
Lowercase Letter 9
 
0.3%
Math Symbol 7
 
0.3%
Dash Punctuation 5
 
0.2%
Other values (2) 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 144
 
7.9%
청 116
 
6.4%
소 115
 
6.3%
집 83
 
4.6%
원 75
 
4.1%
모 65
 
3.6%
위 61
 
3.4%
기 58
 
3.2%
회 49
 
2.7%
영 36
 
2.0%
Other values (242) 1012
55.8%
Uppercase Letter
ValueCountFrequency (%)
O 6
17.6%
T 6
17.6%
E 5
14.7%
Y 4
11.8%
C 2
 
5.9%
H 2
 
5.9%
P 2
 
5.9%
R 1
 
2.9%
G 1
 
2.9%
U 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
2 103
42.9%
1 59
24.6%
0 56
23.3%
3 6
 
2.5%
9 5
 
2.1%
7 3
 
1.2%
8 3
 
1.2%
4 2
 
0.8%
6 2
 
0.8%
5 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
' 49
62.8%
" 14
 
17.9%
. 7
 
9.0%
! 3
 
3.8%
, 3
 
3.8%
/ 1
 
1.3%
# 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
s 2
22.2%
h 1
11.1%
t 1
11.1%
u 1
11.1%
f 1
11.1%
p 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 16
50.0%
[ 13
40.6%
「 3
 
9.4%
Close Punctuation
ValueCountFrequency (%)
) 16
50.0%
] 13
40.6%
」 3
 
9.4%
Math Symbol
ValueCountFrequency (%)
< 3
42.9%
> 3
42.9%
~ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
367
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
★ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1813
69.1%
Common 766
29.2%
Latin 43
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 144
 
7.9%
청 116
 
6.4%
소 115
 
6.3%
집 83
 
4.6%
원 75
 
4.1%
모 65
 
3.6%
위 61
 
3.4%
기 58
 
3.2%
회 49
 
2.7%
영 36
 
2.0%
Other values (241) 1011
55.8%
Common
ValueCountFrequency (%)
367
47.9%
2 103
 
13.4%
1 59
 
7.7%
0 56
 
7.3%
' 49
 
6.4%
( 16
 
2.1%
) 16
 
2.1%
" 14
 
1.8%
[ 13
 
1.7%
] 13
 
1.7%
Other values (20) 60
 
7.8%
Latin
ValueCountFrequency (%)
O 6
14.0%
T 6
14.0%
E 5
11.6%
Y 4
 
9.3%
o 2
 
4.7%
C 2
 
4.7%
s 2
 
4.7%
H 2
 
4.7%
P 2
 
4.7%
R 1
 
2.3%
Other values (11) 11
25.6%
Han
ValueCountFrequency (%)
流 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1813
69.1%
ASCII 799
30.5%
None 6
 
0.2%
Misc Symbols 4
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
367
45.9%
2 103
 
12.9%
1 59
 
7.4%
0 56
 
7.0%
' 49
 
6.1%
( 16
 
2.0%
) 16
 
2.0%
" 14
 
1.8%
[ 13
 
1.6%
] 13
 
1.6%
Other values (38) 93
 
11.6%
Hangul
ValueCountFrequency (%)
년 144
 
7.9%
청 116
 
6.4%
소 115
 
6.3%
집 83
 
4.6%
원 75
 
4.1%
모 65
 
3.6%
위 61
 
3.4%
기 58
 
3.2%
회 49
 
2.7%
영 36
 
2.0%
Other values (241) 1011
55.8%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%
None
ValueCountFrequency (%)
「 3
50.0%
」 3
50.0%
CJK
ValueCountFrequency (%)
流 1
100.0%

oper_state_nm
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
혼합활동 (대면 + 비대면)
76 
비대면활동
24 

Length

Max length15
Median length15
Mean length12.6
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비대면활동
2nd row혼합활동 (대면 + 비대면)
3rd row비대면활동
4th row비대면활동
5th row비대면활동

Common Values

ValueCountFrequency (%)
혼합활동 (대면 + 비대면) 76
76.0%
비대면활동 24
 
24.0%

Length

2023-12-10T19:10:09.219126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:09.409611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
혼합활동 76
23.2%
대면 76
23.2%
76
23.2%
비대면 76
23.2%
비대면활동 24
 
7.3%

act_relm_nm
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
기타
31 
봉사협력
20 
자기개발
17 
문화예술
14 
교류
6 
Other values (5)
12 

Length

Max length6
Median length4
Mean length3.28
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row교류
2nd row문화예술
3rd row교류
4th row교류
5th row기타

Common Values

ValueCountFrequency (%)
기타 31
31.0%
봉사협력 20
20.0%
자기개발 17
17.0%
문화예술 14
14.0%
교류 6
 
6.0%
과학정보 5
 
5.0%
진로탐구 3
 
3.0%
환경보존 2
 
2.0%
건강/스포츠 1
 
1.0%
역사탐방 1
 
1.0%

Length

2023-12-10T19:10:09.634401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:09.934986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 31
31.0%
봉사협력 20
20.0%
자기개발 17
17.0%
문화예술 14
14.0%
교류 6
 
6.0%
과학정보 5
 
5.0%
진로탐구 3
 
3.0%
환경보존 2
 
2.0%
건강/스포츠 1
 
1.0%
역사탐방 1
 
1.0%

act_begin_de
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20209954
Minimum20201128
Maximum20210812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:10.238629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201128
5-th percentile20210101
Q120210123
median20210220
Q320210301
95-th percentile20210326
Maximum20210812
Range9684
Interquartile range (IQR)178

Descriptive statistics

Standard deviation1553.2092
Coefficient of variation (CV)7.6853672 × 10-5
Kurtosis29.490296
Mean20209954
Median Absolute Deviation (MAD)82
Skewness-5.5374427
Sum2.0209954 × 109
Variance2412458.9
MonotonicityNot monotonic
2023-12-10T19:10:10.741947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20210220 13
 
13.0%
20210301 10
 
10.0%
20210222 6
 
6.0%
20210302 6
 
6.0%
20210201 5
 
5.0%
20210123 4
 
4.0%
20210130 3
 
3.0%
20210227 3
 
3.0%
20210308 3
 
3.0%
20210101 3
 
3.0%
Other values (34) 44
44.0%
ValueCountFrequency (%)
20201128 1
 
1.0%
20201226 1
 
1.0%
20201230 1
 
1.0%
20210101 3
3.0%
20210104 1
 
1.0%
20210105 1
 
1.0%
20210106 2
2.0%
20210107 2
2.0%
20210111 1
 
1.0%
20210112 2
2.0%
ValueCountFrequency (%)
20210812 1
 
1.0%
20210801 1
 
1.0%
20210720 1
 
1.0%
20210403 1
 
1.0%
20210326 2
2.0%
20210316 1
 
1.0%
20210313 1
 
1.0%
20210310 1
 
1.0%
20210308 3
3.0%
20210306 1
 
1.0%

act_end_de
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20212260
Minimum20201128
Maximum20221231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:11.061230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201128
5-th percentile20210122
Q120210325
median20211231
Q320211231
95-th percentile20220228
Maximum20221231
Range20103
Interquartile range (IQR)905.75

Descriptive statistics

Standard deviation4134.7114
Coefficient of variation (CV)0.00020456452
Kurtosis1.2954671
Mean20212260
Median Absolute Deviation (MAD)406
Skewness0.70838372
Sum2.021226 × 109
Variance17095838
MonotonicityNot monotonic
2023-12-10T19:10:11.296601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20211231 45
45.0%
20220228 8
 
8.0%
20220131 5
 
5.0%
20210122 4
 
4.0%
20210129 3
 
3.0%
20220219 3
 
3.0%
20210131 2
 
2.0%
20210214 2
 
2.0%
20210128 2
 
2.0%
20211218 2
 
2.0%
Other values (23) 24
24.0%
ValueCountFrequency (%)
20201128 1
 
1.0%
20201226 1
 
1.0%
20201230 1
 
1.0%
20210105 1
 
1.0%
20210115 1
 
1.0%
20210122 4
4.0%
20210123 1
 
1.0%
20210128 2
2.0%
20210129 3
3.0%
20210130 1
 
1.0%
ValueCountFrequency (%)
20221231 1
 
1.0%
20220228 8
 
8.0%
20220226 1
 
1.0%
20220219 3
 
3.0%
20220131 5
 
5.0%
20211231 45
45.0%
20211218 2
 
2.0%
20211130 1
 
1.0%
20210928 1
 
1.0%
20210831 1
 
1.0%

rcrit_state_nm
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
직접입력
77 
상시모집
13 
모집마감
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row모집마감
2nd row직접입력
3rd row모집마감
4th row모집마감
5th row직접입력

Common Values

ValueCountFrequency (%)
직접입력 77
77.0%
상시모집 13
 
13.0%
모집마감 10
 
10.0%

Length

2023-12-10T19:10:11.512100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:11.698827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직접입력 77
77.0%
상시모집 13
 
13.0%
모집마감 10
 
10.0%

partcptn_nmpr_co
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.16
Minimum0
Maximum200
Zeros7
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:10:11.900047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median20
Q320
95-th percentile100
Maximum200
Range200
Interquartile range (IQR)10

Descriptive statistics

Standard deviation33.081387
Coefficient of variation (CV)1.1344783
Kurtosis7.3446933
Mean29.16
Median Absolute Deviation (MAD)8
Skewness2.4780047
Sum2916
Variance1094.3782
MonotonicityNot monotonic
2023-12-10T19:10:12.182170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20 36
36.0%
10 13
 
13.0%
15 10
 
10.0%
100 8
 
8.0%
0 7
 
7.0%
12 4
 
4.0%
50 4
 
4.0%
40 3
 
3.0%
8 3
 
3.0%
80 2
 
2.0%
Other values (10) 10
 
10.0%
ValueCountFrequency (%)
0 7
 
7.0%
5 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
8 3
 
3.0%
10 13
 
13.0%
12 4
 
4.0%
15 10
 
10.0%
20 36
36.0%
25 1
 
1.0%
ValueCountFrequency (%)
200 1
 
1.0%
125 1
 
1.0%
100 8
8.0%
80 2
 
2.0%
70 1
 
1.0%
60 1
 
1.0%
50 4
4.0%
40 3
 
3.0%
36 1
 
1.0%
30 1
 
1.0%

partcpt_ct_cn
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
무료
97 
25000
 
1
15000
 
1
20000
 
1

Length

Max length5
Median length2
Mean length2.09
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row무료
2nd row25000
3rd row무료
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
무료 97
97.0%
25000 1
 
1.0%
15000 1
 
1.0%
20000 1
 
1.0%

Length

2023-12-10T19:10:12.533736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:12.810118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 97
97.0%
25000 1
 
1.0%
15000 1
 
1.0%
20000 1
 
1.0%

adhrnc_flag_nm
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
중 고 대
27 
중 고
23 
초 중 고 대
21 
초 중 고
8 
초
6 
Other values (7)
15 

Length

Max length10
Median length8
Mean length4.63
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row중 고 대
2nd row초
3rd row중 고
4th row중 고
5th row초 중 고

Common Values

ValueCountFrequency (%)
중 고 대 27
27.0%
중 고 23
23.0%
초 중 고 대 21
21.0%
초 중 고 8
 
8.0%
초 6
 
6.0%
초 중 고 대 전체 4
 
4.0%
고 3
 
3.0%
대 2
 
2.0%
중 2
 
2.0%
대 전체 2
 
2.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T19:10:12.993068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고 88
31.7%
중 86
30.9%
대 58
20.9%
초 39
14.0%
전체 7
 
2.5%

Interactions

2023-12-10T19:10:03.681280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:01.502112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:02.303939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:02.993757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:03.888389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:01.676614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:02.453812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:03.161847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:04.074530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:01.904864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:02.644251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:03.324289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:04.261943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:02.110734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:02.819123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:10:03.509779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:10:13.231991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noarea_nmsigngu_nmfclty_grp_nmact_nmoper_state_nmact_relm_nmact_begin_deact_end_dercrit_state_nmpartcptn_nmpr_copartcpt_ct_cnadhrnc_flag_nm
seq_no1.0000.3090.8541.0001.0000.0000.4310.0000.2860.0000.7140.7610.493
area_nm0.3091.0000.9971.0001.0000.7090.6880.1620.5920.7270.0000.6300.665
signgu_nm0.8540.9971.0000.9991.0000.9510.8060.3920.8760.7740.2840.2550.550
fclty_grp_nm1.0001.0000.9991.0000.6730.8920.9041.0000.9820.9540.0000.0000.000
act_nm1.0001.0001.0000.6731.0001.0000.9871.0000.8571.0001.0001.0001.000
oper_state_nm0.0000.7090.9510.8921.0001.0000.6470.2260.9300.1160.3370.1370.662
act_relm_nm0.4310.6880.8060.9040.9870.6471.0000.7290.6170.2750.0000.2170.553
act_begin_de0.0000.1620.3921.0001.0000.2260.7291.0001.0000.2680.0000.0000.000
act_end_de0.2860.5920.8760.9820.8570.9300.6171.0001.0000.3910.0000.0000.481
rcrit_state_nm0.0000.7270.7740.9541.0000.1160.2750.2680.3911.0000.0000.0880.296
partcptn_nmpr_co0.7140.0000.2840.0001.0000.3370.0000.0000.0000.0001.0000.0000.615
partcpt_ct_cn0.7610.6300.2550.0001.0000.1370.2170.0000.0000.0880.0001.0000.000
adhrnc_flag_nm0.4930.6650.5500.0001.0000.6620.5530.0000.4810.2960.6150.0001.000
2023-12-10T19:10:13.508830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
act_relm_nmpartcpt_ct_cnarea_nmrcrit_state_nmsigngu_nmoper_state_nmadhrnc_flag_nm
act_relm_nm1.0000.1230.3690.1620.3350.4810.264
partcpt_ct_cn0.1231.0000.3220.0800.0670.0880.000
area_nm0.3690.3221.0000.4240.7620.5310.241
rcrit_state_nm0.1620.0800.4241.0000.4120.1910.128
signgu_nm0.3350.0670.7620.4121.0000.6380.148
oper_state_nm0.4810.0880.5310.1910.6381.0000.493
adhrnc_flag_nm0.2640.0000.2410.1280.1480.4931.000
2023-12-10T19:10:13.722823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noact_begin_deact_end_departcptn_nmpr_coarea_nmsigngu_nmoper_state_nmact_relm_nmrcrit_state_nmpartcpt_ct_cnadhrnc_flag_nm
seq_no1.0000.3610.2440.0920.2250.5420.0000.3160.0000.5470.362
act_begin_de0.3611.0000.3230.0130.2550.3940.2240.6310.5110.0000.000
act_end_de0.2440.3231.000-0.0190.3240.5050.7610.4450.4220.0000.207
partcptn_nmpr_co0.0920.013-0.0191.0000.0000.0000.1200.0000.0000.0000.261
area_nm0.2250.2550.3240.0001.0000.7620.5310.3690.4240.3220.241
signgu_nm0.5420.3940.5050.0000.7621.0000.6380.3350.4120.0670.148
oper_state_nm0.0000.2240.7610.1200.5310.6381.0000.4810.1910.0880.493
act_relm_nm0.3160.6310.4450.0000.3690.3350.4811.0000.1620.1230.264
rcrit_state_nm0.0000.5110.4220.0000.4240.4120.1910.1621.0000.0800.128
partcpt_ct_cn0.5470.0000.0000.0000.3220.0670.0880.1230.0801.0000.000
adhrnc_flag_nm0.3620.0000.2070.2610.2410.1480.4930.2640.1280.0001.000

Missing values

2023-12-10T19:10:04.576969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:10:05.008436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

seq_noarea_nmsigngu_nmfclty_grp_nmact_nmoper_state_nmact_relm_nmact_begin_deact_end_dercrit_state_nmpartcptn_nmpr_copartcpt_ct_cnadhrnc_flag_nm
01경남창원시창원시진해청소년전당2020 창원시진해청소년참여위원회 '꽃비' 6차 정기회의비대면활동교류2020112820201128모집마감15무료중 고 대
11033충남서산시서산문화복지센터청소년수련관 3분기 교육프로그램-바이올린 교실(기초)혼합활동 (대면 + 비대면)문화예술2021072020210928직접입력825000초
23경남창원시창원시진해청소년전당2020 진해청소년전당 동아리연합회 '하랑' 4분기 간담히비대면활동교류2020122620201226모집마감25무료중 고
34경남창원시창원시진해청소년전당2020 진해청소년전당 동아리연합회 '하랑' 임원 12월 정기회의비대면활동교류2020123020201230모집마감7무료중 고
45경남창녕군경상남도청소년지원재단[비대면프로그램] ★집콕아트 소나무접이식테이블만들기★비대면활동기타2021010520210105직접입력36무료초 중 고
56경남김해시경상남도청소년지원재단2021 겨울방학 온라인 프로그램 참가자 모집비대면활동기타2021011220210122직접입력125무료초
67세종세종시북세종종합청소년센터기초체력UP 클래스비대면활동건강/스포츠2021011220210128직접입력20무료초
71034경기화성시화성시청소년수련관2021 화성시청소년종합예술제혼합활동 (대면 + 비대면)문화예술2021080120210801직접입력200무료초 중 고
89대구수성구수성구청소년수련관2021년 수성구청소년수련관 청소년운영위원회 "나르샤" 16기 위원 모집혼합활동 (대면 + 비대면)기타2021030120211231상시모집20무료초 중 고 대
910인천서구가좌청소년센터제2기 문화콘텐츠 기획단 단원 모집(20~24세)혼합활동 (대면 + 비대면)문화예술2021011620211218직접입력10무료대
seq_noarea_nmsigngu_nmfclty_grp_nmact_nmoper_state_nmact_relm_nmact_begin_deact_end_dercrit_state_nmpartcptn_nmpr_copartcpt_ct_cnadhrnc_flag_nm
9091경기남양주시남양주시청소년수련관2021년 남양주시청소년수련관 청소년운영위원회 [해밀] 12기 신규위원 모집`혼합활동 (대면 + 비대면)자기개발2021022020220228직접입력15무료중 고 대
9192대구서구대구광역시 서구 청소년수련관2021년 서구청소년수련관 청소년운영위원회 위원 모집혼합활동 (대면 + 비대면)봉사협력2021030120211231상시모집15무료초 중 고 대
9293강원원주시원주시청소년수련관2021 원주시청소년참여위원회 위원 모집혼합활동 (대면 + 비대면)봉사협력2021030120220131직접입력20무료초 중 고 대
9394서울성북구성북청소년문화의집미디어 기획단 참여 청소년 모집혼합활동 (대면 + 비대면)문화예술2021022220211231직접입력10무료중 고 대
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