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
Text5
Categorical4

Alerts

seq_no is highly overall correlated with flag_nmHigh correlation
act_begin_de is highly overall correlated with act_end_deHigh correlation
act_end_de is highly overall correlated with act_begin_deHigh correlation
flag_nm is highly overall correlated with seq_noHigh correlation
instt_ty_nm is highly imbalanced (72.6%)Imbalance
seq_no has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:03:24.388350
Analysis finished2023-12-10 10:03:29.698414
Duration5.31 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%
Mean1429.15
Minimum1
Maximum45970
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:29.855089image/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
Maximum45970
Range45969
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation7872.428
Coefficient of variation (CV)5.5084687
Kurtosis29.896931
Mean1429.15
Median Absolute Deviation (MAD)25.5
Skewness5.594535
Sum142915
Variance61975123
MonotonicityNot monotonic
2023-12-10T19:03:30.154710image/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 (%)
45970 1
1.0%
45969 1
1.0%
45968 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%

instt_nm
Text

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:30.598836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length9.6
Min length6

Characters and Unicode

Total characters960
Distinct characters149
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)57.0%

Sample

1st row구덕청소년수련관
2nd row국립청소년해양센터
3rd row서해청소년유스호스텔
4th row충청북도자연학습원
5th row아름다운학교
ValueCountFrequency (%)
익산유스호스텔 5
 
4.9%
국립청소년우주센터 5
 
4.9%
부여군청소년수련원 3
 
2.9%
충청북도자연학습원 2
 
1.9%
성이시돌젊음의집 2
 
1.9%
서울특별시립서울청소년수련관 2
 
1.9%
국립중앙청소년수련원 2
 
1.9%
안양시만안청소년수련관 2
 
1.9%
박달재수련원 2
 
1.9%
마포청소년수련관 2
 
1.9%
Other values (67) 76
73.8%
2023-12-10T19:03:31.295486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 76
 
7.9%
년 72
 
7.5%
소 72
 
7.5%
수 55
 
5.7%
련 53
 
5.5%
원 37
 
3.9%
관 24
 
2.5%
시 24
 
2.5%
스 18
 
1.9%
립 17
 
1.8%
Other values (139) 512
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 938
97.7%
Open Punctuation 9
 
0.9%
Close Punctuation 9
 
0.9%
Space Separator 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 76
 
8.1%
년 72
 
7.7%
소 72
 
7.7%
수 55
 
5.9%
련 53
 
5.7%
원 37
 
3.9%
관 24
 
2.6%
시 24
 
2.6%
스 18
 
1.9%
립 17
 
1.8%
Other values (135) 490
52.2%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 938
97.7%
Common 22
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 76
 
8.1%
년 72
 
7.7%
소 72
 
7.7%
수 55
 
5.9%
련 53
 
5.7%
원 37
 
3.9%
관 24
 
2.6%
시 24
 
2.6%
스 18
 
1.9%
립 17
 
1.8%
Other values (135) 490
52.2%
Common
ValueCountFrequency (%)
( 9
40.9%
) 9
40.9%
3
 
13.6%
/ 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 938
97.7%
ASCII 22
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 76
 
8.1%
년 72
 
7.7%
소 72
 
7.7%
수 55
 
5.9%
련 53
 
5.7%
원 37
 
3.9%
관 24
 
2.6%
시 24
 
2.6%
스 18
 
1.9%
립 17
 
1.8%
Other values (135) 490
52.2%
ASCII
ValueCountFrequency (%)
( 9
40.9%
) 9
40.9%
3
 
13.6%
/ 1
 
4.5%

flag_nm
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
자기개발
28 
모험개척
16 
교류
11 
과학정보
10 
기타
9 
Other values (6)
26 

Length

Max length6
Median length4
Mean length3.66
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row건강/스포츠
2nd row환경보존
3rd row문화예술
4th row자기개발
5th row과학정보

Common Values

ValueCountFrequency (%)
자기개발 28
28.0%
모험개척 16
16.0%
교류 11
 
11.0%
과학정보 10
 
10.0%
기타 9
 
9.0%
문화예술 8
 
8.0%
역사탐방 6
 
6.0%
봉사협력 6
 
6.0%
건강/스포츠 3
 
3.0%
진로탐구 2
 
2.0%

Length

2023-12-10T19:03:31.644192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자기개발 28
28.0%
모험개척 16
16.0%
교류 11
 
11.0%
과학정보 10
 
10.0%
기타 9
 
9.0%
문화예술 8
 
8.0%
역사탐방 6
 
6.0%
봉사협력 6
 
6.0%
건강/스포츠 3
 
3.0%
진로탐구 2
 
2.0%

act_nm
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:32.225082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length28
Mean length16.61
Min length3

Characters and Unicode

Total characters1661
Distinct characters313
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.0%

Sample

1st row구덕청소년수련관 1박2일 수련활동
2nd row기초해양교실
3rd row청소년문화체험활동
4th row마인드 UP 캠프 (1박2일,중학교)
5th row대나무로 만든 놀이세상 캠프
ValueCountFrequency (%)
캠프 10
 
3.2%
청소년 10
 
3.2%
2017 8
 
2.6%
2015 8
 
2.6%
1박2일 6
 
1.9%
2박3일 5
 
1.6%
수련활동 5
 
1.6%
워크숍 4
 
1.3%
여름캠프 4
 
1.3%
3
 
1.0%
Other values (221) 248
79.7%
2023-12-10T19:03:33.030264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
 
12.7%
프 44
 
2.6%
캠 42
 
2.5%
2 42
 
2.5%
1 39
 
2.3%
년 35
 
2.1%
청 32
 
1.9%
소 31
 
1.9%
) 29
 
1.7%
( 29
 
1.7%
Other values (303) 1127
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1135
68.3%
Space Separator 211
 
12.7%
Decimal Number 146
 
8.8%
Close Punctuation 31
 
1.9%
Open Punctuation 31
 
1.9%
Uppercase Letter 31
 
1.9%
Other Punctuation 29
 
1.7%
Lowercase Letter 25
 
1.5%
Dash Punctuation 14
 
0.8%
Initial Punctuation 2
 
0.1%
Other values (4) 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 44
 
3.9%
캠 42
 
3.7%
년 35
 
3.1%
청 32
 
2.8%
소 31
 
2.7%
동 28
 
2.5%
학 27
 
2.4%
활 22
 
1.9%
일 21
 
1.9%
수 20
 
1.8%
Other values (247) 833
73.4%
Uppercase Letter
ValueCountFrequency (%)
Y 5
16.1%
C 4
12.9%
E 3
9.7%
A 2
 
6.5%
O 2
 
6.5%
K 2
 
6.5%
I 2
 
6.5%
S 2
 
6.5%
W 2
 
6.5%
J 1
 
3.2%
Other values (6) 6
19.4%
Lowercase Letter
ValueCountFrequency (%)
n 5
20.0%
i 4
16.0%
a 3
12.0%
o 3
12.0%
j 2
 
8.0%
d 2
 
8.0%
m 1
 
4.0%
b 1
 
4.0%
y 1
 
4.0%
g 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
2 42
28.8%
1 39
26.7%
0 24
16.4%
5 15
 
10.3%
3 10
 
6.8%
7 10
 
6.8%
6 3
 
2.1%
4 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
' 8
27.6%
, 6
20.7%
" 6
20.7%
! 4
13.8%
. 3
 
10.3%
· 1
 
3.4%
/ 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 29
93.5%
] 1
 
3.2%
』 1
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 29
93.5%
[ 1
 
3.2%
『 1
 
3.2%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1125
67.7%
Common 469
28.2%
Latin 57
 
3.4%
Han 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 44
 
3.9%
캠 42
 
3.7%
년 35
 
3.1%
청 32
 
2.8%
소 31
 
2.8%
동 28
 
2.5%
학 27
 
2.4%
활 22
 
2.0%
일 21
 
1.9%
수 20
 
1.8%
Other values (238) 823
73.2%
Latin
ValueCountFrequency (%)
n 5
 
8.8%
Y 5
 
8.8%
i 4
 
7.0%
C 4
 
7.0%
a 3
 
5.3%
o 3
 
5.3%
E 3
 
5.3%
j 2
 
3.5%
A 2
 
3.5%
O 2
 
3.5%
Other values (19) 24
42.1%
Common
ValueCountFrequency (%)
211
45.0%
2 42
 
9.0%
1 39
 
8.3%
) 29
 
6.2%
( 29
 
6.2%
0 24
 
5.1%
5 15
 
3.2%
- 14
 
3.0%
3 10
 
2.1%
7 10
 
2.1%
Other values (17) 46
 
9.8%
Han
ValueCountFrequency (%)
中 2
20.0%
夢 1
10.0%
上 1
10.0%
飛 1
10.0%
知 1
10.0%
己 1
10.0%
愛 1
10.0%
人 1
10.0%
休 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
67.7%
ASCII 518
31.2%
CJK 10
 
0.6%
Punctuation 4
 
0.2%
None 3
 
0.2%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
40.7%
2 42
 
8.1%
1 39
 
7.5%
) 29
 
5.6%
( 29
 
5.6%
0 24
 
4.6%
5 15
 
2.9%
- 14
 
2.7%
3 10
 
1.9%
7 10
 
1.9%
Other values (40) 95
18.3%
Hangul
ValueCountFrequency (%)
프 44
 
3.9%
캠 42
 
3.7%
년 35
 
3.1%
청 32
 
2.8%
소 31
 
2.8%
동 28
 
2.5%
학 27
 
2.4%
활 22
 
2.0%
일 21
 
1.9%
수 20
 
1.8%
Other values (238) 823
73.2%
Punctuation
ValueCountFrequency (%)
“ 2
50.0%
” 2
50.0%
CJK
ValueCountFrequency (%)
中 2
20.0%
夢 1
10.0%
上 1
10.0%
飛 1
10.0%
知 1
10.0%
己 1
10.0%
愛 1
10.0%
人 1
10.0%
休 1
10.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
33.3%
』 1
33.3%
『 1
33.3%

act_begin_de
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20161842
Minimum20150328
Maximum20210722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:33.361466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150328
5-th percentile20150506
Q120151009
median20160362
Q320170710
95-th percentile20171398
Maximum20210722
Range60394
Interquartile range (IQR)19701.5

Descriptive statistics

Standard deviation12932.554
Coefficient of variation (CV)0.00064143715
Kurtosis4.1207659
Mean20161842
Median Absolute Deviation (MAD)9660.5
Skewness1.6510192
Sum2.0161842 × 109
Variance1.6725096 × 108
MonotonicityNot monotonic
2023-12-10T19:03:33.646646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150701 4
 
4.0%
20151001 3
 
3.0%
20170729 3
 
3.0%
20150831 2
 
2.0%
20170802 2
 
2.0%
20170713 2
 
2.0%
20160414 2
 
2.0%
20151102 2
 
2.0%
20150921 2
 
2.0%
20160111 2
 
2.0%
Other values (71) 76
76.0%
ValueCountFrequency (%)
20150328 1
 
1.0%
20150401 1
 
1.0%
20150406 1
 
1.0%
20150423 1
 
1.0%
20150501 1
 
1.0%
20150506 1
 
1.0%
20150701 4
4.0%
20150806 1
 
1.0%
20150815 1
 
1.0%
20150817 1
 
1.0%
ValueCountFrequency (%)
20210722 1
1.0%
20210701 2
2.0%
20190905 1
1.0%
20180430 1
1.0%
20170923 1
1.0%
20170903 1
1.0%
20170901 1
1.0%
20170812 1
1.0%
20170810 2
2.0%
20170809 1
1.0%

act_end_de
Real number (ℝ)

HIGH CORRELATION 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20161951
Minimum20150329
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:34.013160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150329
5-th percentile20150804
Q120151103
median20160531
Q320170731
95-th percentile20171695
Maximum20211231
Range60902
Interquartile range (IQR)19627.75

Descriptive statistics

Standard deviation12953.978
Coefficient of variation (CV)0.00064249625
Kurtosis4.2002566
Mean20161951
Median Absolute Deviation (MAD)9613
Skewness1.6659358
Sum2.0161951 × 109
Variance1.6780555 × 108
MonotonicityNot monotonic
2023-12-10T19:03:34.268489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151231 10
 
10.0%
20170930 5
 
5.0%
20151031 2
 
2.0%
20170924 2
 
2.0%
20151114 2
 
2.0%
20151127 2
 
2.0%
20160630 2
 
2.0%
20171231 2
 
2.0%
20160531 2
 
2.0%
20170730 2
 
2.0%
Other values (65) 69
69.0%
ValueCountFrequency (%)
20150329 1
1.0%
20150424 1
1.0%
20150502 1
1.0%
20150508 1
1.0%
20150731 1
1.0%
20150808 1
1.0%
20150816 1
1.0%
20150819 1
1.0%
20150906 1
1.0%
20150913 1
1.0%
ValueCountFrequency (%)
20211231 2
 
2.0%
20210722 1
 
1.0%
20190906 1
 
1.0%
20180502 1
 
1.0%
20171231 2
 
2.0%
20171031 1
 
1.0%
20171008 1
 
1.0%
20170930 5
5.0%
20170924 2
 
2.0%
20170906 1
 
1.0%

ctprvn_nm
Categorical

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경기도
21 
서울특별시
12 
전라남도
11 
전라북도
10 
충청남도
10 
Other values (11)
36 

Length

Max length7
Median length5
Mean length4.14
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row부산광역시
2nd row경상북도
3rd row인천광역시
4th row충청북도
5th row울산광역시

Common Values

ValueCountFrequency (%)
경기도 21
21.0%
서울특별시 12
12.0%
전라남도 11
11.0%
전라북도 10
10.0%
충청남도 10
10.0%
충청북도 8
 
8.0%
인천광역시 7
 
7.0%
부산광역시 4
 
4.0%
제주특별자치도 4
 
4.0%
강원도 4
 
4.0%
Other values (6) 9
9.0%

Length

2023-12-10T19:03:34.557088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 21
21.0%
서울특별시 12
12.0%
전라남도 11
11.0%
전라북도 10
10.0%
충청남도 10
10.0%
충청북도 8
 
8.0%
인천광역시 7
 
7.0%
부산광역시 4
 
4.0%
제주특별자치도 4
 
4.0%
강원도 4
 
4.0%
Other values (6) 9
9.0%

signgu_nm
Text

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:34.960114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.34
Min length2

Characters and Unicode

Total characters334
Distinct characters69
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)40.0%

Sample

1st row서구
2nd row영덕군
3rd row강화군
4th row괴산군
5th row울주군
ValueCountFrequency (%)
익산시 6
 
5.5%
고흥군 5
 
4.5%
괴산군 5
 
4.5%
서구 4
 
3.6%
부여군 4
 
3.6%
제주시 4
 
3.6%
천안시 3
 
2.7%
중구 3
 
2.7%
강화군 3
 
2.7%
안산시 3
 
2.7%
Other values (56) 70
63.6%
2023-12-10T19:03:36.036472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 42
 
12.6%
군 38
 
11.4%
구 34
 
10.2%
산 18
 
5.4%
안 13
 
3.9%
천 11
 
3.3%
제 10
 
3.0%
10
 
3.0%
부 8
 
2.4%
동 6
 
1.8%
Other values (59) 144
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
97.0%
Space Separator 10
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 42
 
13.0%
군 38
 
11.7%
구 34
 
10.5%
산 18
 
5.6%
안 13
 
4.0%
천 11
 
3.4%
제 10
 
3.1%
부 8
 
2.5%
동 6
 
1.9%
원 6
 
1.9%
Other values (58) 138
42.6%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
97.0%
Common 10
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 42
 
13.0%
군 38
 
11.7%
구 34
 
10.5%
산 18
 
5.6%
안 13
 
4.0%
천 11
 
3.4%
제 10
 
3.1%
부 8
 
2.5%
동 6
 
1.9%
원 6
 
1.9%
Other values (58) 138
42.6%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
97.0%
ASCII 10
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 42
 
13.0%
군 38
 
11.7%
구 34
 
10.5%
산 18
 
5.6%
안 13
 
4.0%
천 11
 
3.4%
제 10
 
3.1%
부 8
 
2.5%
동 6
 
1.9%
원 6
 
1.9%
Other values (58) 138
42.6%
ASCII
ValueCountFrequency (%)
10
100.0%

nmpr_co
Real number (ℝ)

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.18
Minimum10
Maximum490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:36.344755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q135.75
median83
Q3149
95-th percentile300
Maximum490
Range480
Interquartile range (IQR)113.25

Descriptive statistics

Standard deviation101.87915
Coefficient of variation (CV)0.9081757
Kurtosis3.3310764
Mean112.18
Median Absolute Deviation (MAD)58.5
Skewness1.7040241
Sum11218
Variance10379.361
MonotonicityNot monotonic
2023-12-10T19:03:36.639416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149 12
 
12.0%
40 11
 
11.0%
140 7
 
7.0%
145 5
 
5.0%
20 5
 
5.0%
300 4
 
4.0%
90 4
 
4.0%
60 2
 
2.0%
31 2
 
2.0%
120 2
 
2.0%
Other values (40) 46
46.0%
ValueCountFrequency (%)
10 2
 
2.0%
12 1
 
1.0%
14 1
 
1.0%
15 2
 
2.0%
16 1
 
1.0%
19 1
 
1.0%
20 5
5.0%
22 1
 
1.0%
23 1
 
1.0%
27 1
 
1.0%
ValueCountFrequency (%)
490 1
 
1.0%
480 1
 
1.0%
450 1
 
1.0%
354 1
 
1.0%
300 4
4.0%
290 1
 
1.0%
260 1
 
1.0%
250 1
 
1.0%
240 1
 
1.0%
210 1
 
1.0%

addr
Text

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:37.044923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length35
Mean length26.36
Min length13

Characters and Unicode

Total characters2636
Distinct characters212
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)57.0%

Sample

1st row부산 서구 서대신동3가산 2-1번지
2nd row경북 영덕군 영덕읍 창포리국립청소년해양센터
3rd row인천광역시 강화군 하점면 창후로288번길 52 청소년유스호텔서해청소년유스호스텔
4th row충북 괴산군 청천면 송면리287-4번지(화양로 1314-12) 충청북도자연학습원
5th row울산광역시 울주군 범서읍 사연리22-1
ValueCountFrequency (%)
경기도 11
 
2.4%
경기 10
 
2.1%
서울 7
 
1.5%
충청남도 7
 
1.5%
충북 7
 
1.5%
전남 6
 
1.3%
익산시 6
 
1.3%
전북 5
 
1.1%
인천광역시 5
 
1.1%
전라북도 5
 
1.1%
Other values (277) 397
85.2%
2023-12-10T19:03:37.748235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
367
 
13.9%
1 77
 
2.9%
2 76
 
2.9%
시 70
 
2.7%
동 63
 
2.4%
청 56
 
2.1%
- 54
 
2.0%
3 53
 
2.0%
산 47
 
1.8%
군 46
 
1.7%
Other values (202) 1727
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1760
66.8%
Decimal Number 417
 
15.8%
Space Separator 367
 
13.9%
Dash Punctuation 54
 
2.0%
Close Punctuation 17
 
0.6%
Open Punctuation 17
 
0.6%
Math Symbol 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 70
 
4.0%
동 63
 
3.6%
청 56
 
3.2%
산 47
 
2.7%
군 46
 
2.6%
소 44
 
2.5%
구 44
 
2.5%
도 43
 
2.4%
년 41
 
2.3%
수 41
 
2.3%
Other values (184) 1265
71.9%
Decimal Number
ValueCountFrequency (%)
1 77
18.5%
2 76
18.2%
3 53
12.7%
4 43
10.3%
5 38
9.1%
7 34
8.2%
6 30
 
7.2%
0 26
 
6.2%
8 22
 
5.3%
9 18
 
4.3%
Math Symbol
ValueCountFrequency (%)
∼ 1
50.0%
~ 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
367
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1760
66.8%
Common 876
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 70
 
4.0%
동 63
 
3.6%
청 56
 
3.2%
산 47
 
2.7%
군 46
 
2.6%
소 44
 
2.5%
구 44
 
2.5%
도 43
 
2.4%
년 41
 
2.3%
수 41
 
2.3%
Other values (184) 1265
71.9%
Common
ValueCountFrequency (%)
367
41.9%
1 77
 
8.8%
2 76
 
8.7%
- 54
 
6.2%
3 53
 
6.1%
4 43
 
4.9%
5 38
 
4.3%
7 34
 
3.9%
6 30
 
3.4%
0 26
 
3.0%
Other values (8) 78
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1760
66.8%
ASCII 875
33.2%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
367
41.9%
1 77
 
8.8%
2 76
 
8.7%
- 54
 
6.2%
3 53
 
6.1%
4 43
 
4.9%
5 38
 
4.3%
7 34
 
3.9%
6 30
 
3.4%
0 26
 
3.0%
Other values (7) 77
 
8.8%
Hangul
ValueCountFrequency (%)
시 70
 
4.0%
동 63
 
3.6%
청 56
 
3.2%
산 47
 
2.7%
군 46
 
2.6%
소 44
 
2.5%
구 44
 
2.5%
도 43
 
2.4%
년 41
 
2.3%
수 41
 
2.3%
Other values (184) 1265
71.9%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

instt_ty_nm
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
청소년수련시설
93 
일반
 
4
국가 및 지방자치단체/공공
 
3

Length

Max length14
Median length7
Mean length7.01
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청소년수련시설
2nd row청소년수련시설
3rd row청소년수련시설
4th row청소년수련시설
5th row일반

Common Values

ValueCountFrequency (%)
청소년수련시설 93
93.0%
일반 4
 
4.0%
국가 및 지방자치단체/공공 3
 
3.0%

Length

2023-12-10T19:03:38.019914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:38.195264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년수련시설 93
87.7%
일반 4
 
3.8%
국가 3
 
2.8%
및 3
 
2.8%
지방자치단체/공공 3
 
2.8%

partcpt_ct_cn
Text

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:38.501763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.37
Min length2

Characters and Unicode

Total characters537
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)50.0%

Sample

1st row32,000
2nd row27,700
3rd row88,000
4th row40,500
5th row200,000
ValueCountFrequency (%)
무료 24
24.0%
100,000 3
 
3.0%
50,000 3
 
3.0%
70,000 2
 
2.0%
43,000 2
 
2.0%
18,000 2
 
2.0%
30,000 2
 
2.0%
32,000 2
 
2.0%
91,000 2
 
2.0%
53,000 2
 
2.0%
Other values (53) 56
56.0%
2023-12-10T19:03:39.198789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 249
46.4%
, 81
 
15.1%
1 26
 
4.8%
무 24
 
4.5%
료 24
 
4.5%
3 23
 
4.3%
5 22
 
4.1%
8 22
 
4.1%
4 19
 
3.5%
6 18
 
3.4%
Other values (3) 29
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
76.0%
Other Punctuation 81
 
15.1%
Other Letter 48
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 249
61.0%
1 26
 
6.4%
3 23
 
5.6%
5 22
 
5.4%
8 22
 
5.4%
4 19
 
4.7%
6 18
 
4.4%
2 15
 
3.7%
7 11
 
2.7%
9 3
 
0.7%
Other Letter
ValueCountFrequency (%)
무 24
50.0%
료 24
50.0%
Other Punctuation
ValueCountFrequency (%)
, 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 489
91.1%
Hangul 48
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 249
50.9%
, 81
 
16.6%
1 26
 
5.3%
3 23
 
4.7%
5 22
 
4.5%
8 22
 
4.5%
4 19
 
3.9%
6 18
 
3.7%
2 15
 
3.1%
7 11
 
2.2%
Hangul
ValueCountFrequency (%)
무 24
50.0%
료 24
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 489
91.1%
Hangul 48
 
8.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 249
50.9%
, 81
 
16.6%
1 26
 
5.3%
3 23
 
4.7%
5 22
 
4.5%
8 22
 
4.5%
4 19
 
3.9%
6 18
 
3.7%
2 15
 
3.1%
7 11
 
2.2%
Hangul
ValueCountFrequency (%)
무 24
50.0%
료 24
50.0%

age_flag_nm
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
중
23 
초
22 
고
21 
중 고
10 
초 중 고
7 
Other values (7)
17 

Length

Max length8
Median length1
Mean length2.19
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
중 23
23.0%
초 22
22.0%
고 21
21.0%
중 고 10
10.0%
초 중 고 7
 
7.0%
중 고 대 6
 
6.0%
초 중 고 대 4
 
4.0%
초 중 2
 
2.0%
고 대 2
 
2.0%
초 전체 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T19:03:39.450040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중 54
34.2%
고 51
32.3%
초 38
24.1%
대 12
 
7.6%
전체 3
 
1.9%

Interactions

2023-12-10T19:03:28.443381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:26.473228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:27.112705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:27.797433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:28.607093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:26.659694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:27.275908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:27.956459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:28.803733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:26.806881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:27.445413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:28.133233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:28.998158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:26.961166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:27.636325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:28.295499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:03:39.642491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noinstt_nmflag_nmact_nmact_begin_deact_end_dectprvn_nmsigngu_nmnmpr_coaddrinstt_ty_nmpartcpt_ct_cnage_flag_nm
seq_no1.0000.0000.6431.0001.0001.0000.4680.0000.2360.0000.0001.0000.000
instt_nm0.0001.0000.9651.0000.0000.0001.0001.0000.7721.0001.0000.8520.000
flag_nm0.6430.9651.0001.0000.3500.3500.6540.9120.2730.9650.0000.7560.000
act_nm1.0001.0001.0001.0000.9870.9871.0001.0001.0001.0001.0001.0000.000
act_begin_de1.0000.0000.3500.9871.0001.0000.5190.0000.5220.0000.0000.7280.000
act_end_de1.0000.0000.3500.9871.0001.0000.5190.0000.5220.0000.0000.7280.000
ctprvn_nm0.4681.0000.6541.0000.5190.5191.0000.9980.4401.0000.4030.9370.483
signgu_nm0.0001.0000.9121.0000.0000.0000.9981.0000.0001.0000.7040.8140.000
nmpr_co0.2360.7720.2731.0000.5220.5220.4400.0001.0000.7720.0000.9580.000
addr0.0001.0000.9651.0000.0000.0001.0001.0000.7721.0001.0000.8520.000
instt_ty_nm0.0001.0000.0001.0000.0000.0000.4030.7040.0001.0001.0000.0000.697
partcpt_ct_cn1.0000.8520.7561.0000.7280.7280.9370.8140.9580.8520.0001.0000.000
age_flag_nm0.0000.0000.0000.0000.0000.0000.4830.0000.0000.0000.6970.0001.000
2023-12-10T19:03:39.886170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ctprvn_nmflag_nminstt_ty_nmage_flag_nm
ctprvn_nm1.0000.3030.2210.185
flag_nm0.3031.0000.0000.000
instt_ty_nm0.2210.0001.0000.397
age_flag_nm0.1850.0000.3971.000
2023-12-10T19:03:40.080005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noact_begin_deact_end_denmpr_coflag_nmctprvn_nminstt_ty_nmage_flag_nm
seq_no1.000-0.015-0.0540.0290.5940.3400.0000.000
act_begin_de-0.0151.0000.9190.1160.1850.2650.0000.000
act_end_de-0.0540.9191.0000.2530.1850.2650.0000.000
nmpr_co0.0290.1160.2531.0000.1210.1860.0000.000
flag_nm0.5940.1850.1850.1211.0000.3030.0000.000
ctprvn_nm0.3400.2650.2650.1860.3031.0000.2210.185
instt_ty_nm0.0000.0000.0000.0000.0000.2211.0000.397
age_flag_nm0.0000.0000.0000.0000.0000.1850.3971.000

Missing values

2023-12-10T19:03:29.229970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:03:29.585097image/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_noinstt_nmflag_nmact_nmact_begin_deact_end_dectprvn_nmsigngu_nmnmpr_coaddrinstt_ty_nmpartcpt_ct_cnage_flag_nm
01구덕청소년수련관건강/스포츠구덕청소년수련관 1박2일 수련활동2015100120151031부산광역시서구149부산 서구 서대신동3가산 2-1번지청소년수련시설32,000초 중 고
145968국립청소년해양센터환경보존기초해양교실2021072220210722경상북도영덕군240경북 영덕군 영덕읍 창포리국립청소년해양센터청소년수련시설27,700초
23서해청소년유스호스텔문화예술청소년문화체험활동2015101420151016인천광역시강화군145인천광역시 강화군 하점면 창후로288번길 52 청소년유스호텔서해청소년유스호스텔청소년수련시설88,000초
34충청북도자연학습원자기개발마인드 UP 캠프 (1박2일,중학교)2017071120170930충청북도괴산군149충북 괴산군 청천면 송면리287-4번지(화양로 1314-12) 충청북도자연학습원청소년수련시설40,500중
45아름다운학교과학정보대나무로 만든 놀이세상 캠프2017072920170731울산광역시울주군35울산광역시 울주군 범서읍 사연리22-1일반200,000초 중
56서울시립 서대문청소년수련관건강/스포츠태백산걷기2015100620151007서울특별시서대문구10서울 서대문구 연희동167-1청소년수련시설20,000고
67괴산군청소년수련원모험개척라온 수련캠프2018043020180502충청북도괴산군300충북 괴산군 괴산읍 검승리산57-21청소년수련시설91,000고
745969국립청소년우주센터과학정보고등학생 우주과학캠프 1박2일 4종2021070120211231전라남도고흥군149전남 고흥군 동일면 덕흥리덕흥양쪽길 200청소년수련시설56,400고
89(주)미리내모험개척2박3일 캠프(고등)-12015101920151231경기도양평군145경기 양평군 지평면월산저수지길21청소년수련시설113,000고
910서해청소년유스호스텔문화예술청소년문화체험활동2015102820151030인천광역시강화군145인천광역시 강화군 하점면 창후로288번길 52 청소년유스호텔서해청소년유스호스텔청소년수련시설88,000초
seq_noinstt_nmflag_nmact_nmact_begin_deact_end_dectprvn_nmsigngu_nmnmpr_coaddrinstt_ty_nmpartcpt_ct_cnage_flag_nm
9091마포청소년수련관모험개척서울청소년연합캠프 '유스핑'2016082720160828서울특별시마포구140서울 마포구 성산동368-1 마포청소년수련관청소년수련시설무료중 고 대
9192안양시만안청소년수련관봉사협력농촌자원봉사캠프2015090420150906경기도안양시 동안구40경기도 안양시 만안구 냉천로31번길 33 (안양동)안양시청소년수련관청소년수련시설50,000고
9293용인시청소년수련관기타Enjoy And join2015111320151114경기도용인시40경기 용인시 처인구 삼가동556번지 용인시청소년수련관청소년수련시설무료초
9394성이시돌젊음의집자기개발내일을 향해 서라 -고등학교/1박2일-2019090520190906제주특별자치도제주시450제주 제주시 한림읍 금악리77-2성이시돌젊음의집청소년수련시설43,000고
9495부여군청소년수련원모험개척호연지기 백제2016102420161028충청남도부여군210충청남도 부여군 충화면 가화리313 부여군청소년수련원청소년수련시설80,000초
9596인천광역시청소년수련관진로탐구방과후아카데미 공부의화신 "직렬 5기통 진로 캠프"2015111320151114인천광역시남동구63인천광역시 남동구 장수로 42 (장수동)인천광역시청소년수련관청소년수련시설무료중 고
9697장안청소년문화의집교류JYCC문화예술동아리 퍼펙트캠프2017072920170730경기도수원시 권선구40경기도 수원시 장안구 수성로275번길 114 (정자동)장안청소년문화의집청소년수련시설무료중 고
9798괴산군청소년수련원문화예술온누리 수련캠프2017031520170317충청북도괴산군260충북 괴산군 괴산읍 검승리산57-21청소년수련시설91,000고
9899거창군월성청소년수련원모험개척2015학년도 부산진고등학교 야영수련활동2015092220150924경상남도거창군148경남 거창군 북상면 월성리1608번지청소년수련시설87,000고
99100부여군청소년수련원모험개척백제의 기백을 찾아서2015050620150508충청남도부여군158충청남도 부여군 충화면 가화리313 부여군청소년수련원청소년수련시설80,600중