Overview

Dataset statistics

Number of variables23
Number of observations38
Missing cells188
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory197.5 B

Variable types

Numeric8
Categorical6
Text6
Boolean1
Unsupported2

Alerts

two_image_atchmnfl_nm has constant value ""Constant
mngt_grp_nm is highly imbalanced (52.6%)Imbalance
hbrd_at is highly imbalanced (51.5%)Imbalance
hbrd_at_value_dc is highly imbalanced (51.5%)Imbalance
one_image_atchmnfl_nm has 35 (92.1%) missing valuesMissing
two_image_atchmnfl_nm has 37 (97.4%) missing valuesMissing
detail_cn has 38 (100.0%) missing valuesMissing
stats_rm_cn has 38 (100.0%) missing valuesMissing
one_atchmnfl_nm has 6 (15.8%) missing valuesMissing
two_atchmnfl_nm has 34 (89.5%) missing valuesMissing
event_info_seq_no has unique valuesUnique
pblanc_korean_nm has unique valuesUnique
detail_cn is an unsupported type, check if it needs cleaning or further analysisUnsupported
stats_rm_cn is an unsupported type, check if it needs cleaning or further analysisUnsupported
application_rcept_pd_begin_time has 1 (2.6%) zerosZeros

Reproduction

Analysis started2023-12-10 09:59:56.740285
Analysis finished2023-12-10 09:59:57.698812
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

event_info_seq_no
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2212.1053
Minimum1039
Maximum3682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T18:59:57.867900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1039
5-th percentile1156.85
Q11506.5
median1872.5
Q33035
95-th percentile3449.15
Maximum3682
Range2643
Interquartile range (IQR)1528.5

Descriptive statistics

Standard deviation838.87514
Coefficient of variation (CV)0.37922026
Kurtosis-1.437842
Mean2212.1053
Median Absolute Deviation (MAD)584
Skewness0.32819628
Sum84060
Variance703711.5
MonotonicityNot monotonic
2023-12-10T18:59:58.110770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3682 1
 
2.6%
1373 1
 
2.6%
1921 1
 
2.6%
1780 1
 
2.6%
1679 1
 
2.6%
1600 1
 
2.6%
1508 1
 
2.6%
1555 1
 
2.6%
1506 1
 
2.6%
1312 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1039 1
2.6%
1156 1
2.6%
1157 1
2.6%
1213 1
2.6%
1312 1
2.6%
1353 1
2.6%
1373 1
2.6%
1424 1
2.6%
1443 1
2.6%
1506 1
2.6%
ValueCountFrequency (%)
3682 1
2.6%
3603 1
2.6%
3422 1
2.6%
3362 1
2.6%
3340 1
2.6%
3302 1
2.6%
3243 1
2.6%
3201 1
2.6%
3100 1
2.6%
3040 1
2.6%

opertn_year
Real number (ℝ)

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.1842
Minimum2014
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T18:59:58.342991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12016
median2017
Q32019
95-th percentile2019.15
Maximum2020
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.843253
Coefficient of variation (CV)0.00091377527
Kurtosis-1.1104117
Mean2017.1842
Median Absolute Deviation (MAD)2
Skewness-0.34032843
Sum76653
Variance3.3975818
MonotonicityDecreasing
2023-12-10T18:59:58.888465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2019 11
28.9%
2017 7
18.4%
2018 5
13.2%
2015 5
13.2%
2016 4
 
10.5%
2014 4
 
10.5%
2020 2
 
5.3%
ValueCountFrequency (%)
2014 4
 
10.5%
2015 5
13.2%
2016 4
 
10.5%
2017 7
18.4%
2018 5
13.2%
2019 11
28.9%
2020 2
 
5.3%
ValueCountFrequency (%)
2020 2
 
5.3%
2019 11
28.9%
2018 5
13.2%
2017 7
18.4%
2016 4
 
10.5%
2015 5
13.2%
2014 4
 
10.5%

mngt_grp_nm
Categorical

IMBALANCE 

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
한국청소년활동진흥원
29 
한국스카우트연맹
4 
사)백야김좌진장군기념사업회
 
1
제주특별자치도청소년활동진흥센터
 
1
충청남도청소년진흥원 활동진흥센터
 
1
Other values (2)
 
2

Length

Max length17
Median length10
Mean length10.421053
Min length8

Unique

Unique5 ?
Unique (%)13.2%

Sample

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

Common Values

ValueCountFrequency (%)
한국청소년활동진흥원 29
76.3%
한국스카우트연맹 4
 
10.5%
사)백야김좌진장군기념사업회 1
 
2.6%
제주특별자치도청소년활동진흥센터 1
 
2.6%
충청남도청소년진흥원 활동진흥센터 1
 
2.6%
경상북도청소년활동진흥센터 1
 
2.6%
부산광역시청소년활동진흥센터 1
 
2.6%

Length

2023-12-10T18:59:59.151413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:59:59.411315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국청소년활동진흥원 29
74.4%
한국스카우트연맹 4
 
10.3%
사)백야김좌진장군기념사업회 1
 
2.6%
제주특별자치도청소년활동진흥센터 1
 
2.6%
충청남도청소년진흥원 1
 
2.6%
활동진흥센터 1
 
2.6%
경상북도청소년활동진흥센터 1
 
2.6%
부산광역시청소년활동진흥센터 1
 
2.6%

pblanc_korean_nm
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-10T18:59:59.749384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length35.078947
Min length7

Characters and Unicode

Total characters1333
Distinct characters121
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row2020년 온라인 국가간 청소년교류 청소년 및 통역 모집 공고
2nd row(국내활동)2020년 국가간 청소년교류 초청사업 운영진 모집
3rd row인솔자 등록용
4th row(국내활동)2019년 국가간 청소년교류 초청사업 운영진 모집
5th row2019 국가간 청소년교류 ""인솔자 등록용""
ValueCountFrequency (%)
청소년교류 26
 
9.5%
모집 26
 
9.5%
국가간 23
 
8.4%
공고 20
 
7.3%
청소년 18
 
6.6%
2차 9
 
3.3%
및 9
 
3.3%
참가자 9
 
3.3%
한중 8
 
2.9%
통역 7
 
2.6%
Other values (56) 119
43.4%
2023-12-10T19:00:00.398739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
17.9%
년 87
 
6.5%
청 62
 
4.7%
소 58
 
4.4%
2 49
 
3.7%
가 45
 
3.4%
1 44
 
3.3%
0 39
 
2.9%
국 36
 
2.7%
집 33
 
2.5%
Other values (111) 642
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 845
63.4%
Space Separator 238
 
17.9%
Decimal Number 172
 
12.9%
Close Punctuation 20
 
1.5%
Open Punctuation 20
 
1.5%
Uppercase Letter 16
 
1.2%
Other Punctuation 15
 
1.1%
Other Symbol 4
 
0.3%
Math Symbol 1
 
0.1%
Final Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 87
 
10.3%
청 62
 
7.3%
소 58
 
6.9%
가 45
 
5.3%
국 36
 
4.3%
집 33
 
3.9%
모 33
 
3.9%
류 31
 
3.7%
교 31
 
3.7%
간 23
 
2.7%
Other values (85) 406
48.0%
Decimal Number
ValueCountFrequency (%)
2 49
28.5%
1 44
25.6%
0 39
22.7%
9 11
 
6.4%
7 7
 
4.1%
5 6
 
3.5%
8 6
 
3.5%
4 5
 
2.9%
6 4
 
2.3%
3 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 6
40.0%
" 4
26.7%
, 3
20.0%
· 1
 
6.7%
: 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
K 4
25.0%
Y 4
25.0%
V 4
25.0%
P 4
25.0%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Symbol
ValueCountFrequency (%)
★ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 845
63.4%
Common 472
35.4%
Latin 16
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 87
 
10.3%
청 62
 
7.3%
소 58
 
6.9%
가 45
 
5.3%
국 36
 
4.3%
집 33
 
3.9%
모 33
 
3.9%
류 31
 
3.7%
교 31
 
3.7%
간 23
 
2.7%
Other values (85) 406
48.0%
Common
ValueCountFrequency (%)
238
50.4%
2 49
 
10.4%
1 44
 
9.3%
0 39
 
8.3%
) 20
 
4.2%
( 20
 
4.2%
9 11
 
2.3%
7 7
 
1.5%
5 6
 
1.3%
/ 6
 
1.3%
Other values (12) 32
 
6.8%
Latin
ValueCountFrequency (%)
K 4
25.0%
Y 4
25.0%
V 4
25.0%
P 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 845
63.4%
ASCII 481
36.1%
Misc Symbols 4
 
0.3%
Punctuation 2
 
0.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
49.5%
2 49
 
10.2%
1 44
 
9.1%
0 39
 
8.1%
) 20
 
4.2%
( 20
 
4.2%
9 11
 
2.3%
7 7
 
1.5%
5 6
 
1.2%
/ 6
 
1.2%
Other values (12) 41
 
8.5%
Hangul
ValueCountFrequency (%)
년 87
 
10.3%
청 62
 
7.3%
소 58
 
6.9%
가 45
 
5.3%
국 36
 
4.3%
집 33
 
3.9%
모 33
 
3.9%
류 31
 
3.7%
교 31
 
3.7%
간 23
 
2.7%
Other values (85) 406
48.0%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%

pblanc_engl_nm
Text

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-10T19:00:00.788360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46.5
Mean length32.605263
Min length1

Characters and Unicode

Total characters1239
Distinct characters114
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)76.3%

Sample

1st row2020 Intergovernmental Youth Exchange Program
2nd row(국내활동)2020년 국가간 청소년교류 초청사업 운영진 모집
3rd row인솔자 등록용
4th row.
5th row2019 국가간 청소년교류 ""인솔자 등록용""
ValueCountFrequency (%)
youth 19
 
11.2%
exchange 16
 
9.4%
program 14
 
8.2%
intergovernmental 13
 
7.6%
korea 8
 
4.7%
국가간 7
 
4.1%
2017 6
 
3.5%
청소년교류 6
 
3.5%
모집 5
 
2.9%
2019 5
 
2.9%
Other values (41) 71
41.8%
2023-12-10T19:00:01.492810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
10.7%
e 84
 
6.8%
r 78
 
6.3%
n 72
 
5.8%
o 67
 
5.4%
a 67
 
5.4%
t 53
 
4.3%
g 50
 
4.0%
h 45
 
3.6%
m 36
 
2.9%
Other values (104) 555
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 678
54.7%
Other Letter 182
 
14.7%
Space Separator 132
 
10.7%
Decimal Number 126
 
10.2%
Uppercase Letter 94
 
7.6%
Dash Punctuation 6
 
0.5%
Other Punctuation 6
 
0.5%
Math Symbol 4
 
0.3%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Other values (2) 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 16
 
8.8%
청 12
 
6.6%
소 10
 
5.5%
가 10
 
5.5%
국 9
 
4.9%
간 7
 
3.8%
모 6
 
3.3%
류 6
 
3.3%
교 6
 
3.3%
집 6
 
3.3%
Other values (51) 94
51.6%
Lowercase Letter
ValueCountFrequency (%)
e 84
12.4%
r 78
11.5%
n 72
10.6%
o 67
9.9%
a 67
9.9%
t 53
7.8%
g 50
7.4%
h 45
6.6%
m 36
 
5.3%
c 25
 
3.7%
Other values (9) 101
14.9%
Uppercase Letter
ValueCountFrequency (%)
Y 15
16.0%
P 15
16.0%
E 14
14.9%
I 13
13.8%
A 8
8.5%
K 7
7.4%
R 5
 
5.3%
N 4
 
4.3%
V 4
 
4.3%
O 3
 
3.2%
Other values (4) 6
 
6.4%
Decimal Number
ValueCountFrequency (%)
2 34
27.0%
0 32
25.4%
1 31
24.6%
9 8
 
6.3%
7 7
 
5.6%
6 4
 
3.2%
8 4
 
3.2%
4 3
 
2.4%
5 2
 
1.6%
3 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
" 4
66.7%
/ 1
 
16.7%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 772
62.3%
Common 285
 
23.0%
Hangul 182
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 16
 
8.8%
청 12
 
6.6%
소 10
 
5.5%
가 10
 
5.5%
국 9
 
4.9%
간 7
 
3.8%
모 6
 
3.3%
류 6
 
3.3%
교 6
 
3.3%
집 6
 
3.3%
Other values (51) 94
51.6%
Latin
ValueCountFrequency (%)
e 84
10.9%
r 78
 
10.1%
n 72
 
9.3%
o 67
 
8.7%
a 67
 
8.7%
t 53
 
6.9%
g 50
 
6.5%
h 45
 
5.8%
m 36
 
4.7%
c 25
 
3.2%
Other values (23) 195
25.3%
Common
ValueCountFrequency (%)
132
46.3%
2 34
 
11.9%
0 32
 
11.2%
1 31
 
10.9%
9 8
 
2.8%
7 7
 
2.5%
- 6
 
2.1%
+ 4
 
1.4%
) 4
 
1.4%
" 4
 
1.4%
Other values (10) 23
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1056
85.2%
Hangul 182
 
14.7%
Misc Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
 
12.5%
e 84
 
8.0%
r 78
 
7.4%
n 72
 
6.8%
o 67
 
6.3%
a 67
 
6.3%
t 53
 
5.0%
g 50
 
4.7%
h 45
 
4.3%
m 36
 
3.4%
Other values (42) 372
35.2%
Hangul
ValueCountFrequency (%)
년 16
 
8.8%
청 12
 
6.6%
소 10
 
5.5%
가 10
 
5.5%
국 9
 
4.9%
간 7
 
3.8%
모 6
 
3.3%
류 6
 
3.3%
교 6
 
3.3%
집 6
 
3.3%
Other values (51) 94
51.6%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

partcptn_bsns_nm
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
국가간 청소년교류
29 
한중 청소년교류
5 
한중 청소년 교류
4 

Length

Max length9
Median length9
Mean length8.8684211
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가간 청소년교류
2nd row국가간 청소년교류
3rd row국가간 청소년교류
4th row국가간 청소년교류
5th row국가간 청소년교류

Common Values

ValueCountFrequency (%)
국가간 청소년교류 29
76.3%
한중 청소년교류 5
 
13.2%
한중 청소년 교류 4
 
10.5%

Length

2023-12-10T19:00:01.865870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:02.097100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년교류 34
42.5%
국가간 29
36.2%
한중 9
 
11.2%
청소년 4
 
5.0%
교류 4
 
5.0%

bsns_nm
Categorical

Distinct16
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
국가간 청소년교류
15 
한중
4 
2019 한중 청소년교류
3 
2017년도 대한민국청소년자원봉사단
3 
2019 국가간 청소년교류
2 
Other values (11)
11 

Length

Max length24
Median length21
Mean length11.842105
Min length2

Unique

Unique11 ?
Unique (%)28.9%

Sample

1st row2020년 온라인 국가간 청소년교류
2nd row2020년 국가간 청소년교류 초청사업
3rd row인솔자 등록용
4th row2019년 국가간 청소년교류 초청사업
5th row2019 국가간 청소년교류

Common Values

ValueCountFrequency (%)
국가간 청소년교류 15
39.5%
한중 4
 
10.5%
2019 한중 청소년교류 3
 
7.9%
2017년도 대한민국청소년자원봉사단 3
 
7.9%
2019 국가간 청소년교류 2
 
5.3%
2020년 온라인 국가간 청소년교류 1
 
2.6%
2020년 국가간 청소년교류 초청사업 1
 
2.6%
인솔자 등록용 1
 
2.6%
2019년 국가간 청소년교류 초청사업 1
 
2.6%
2019년 한중 청소년교류 파견사업 1
 
2.6%
Other values (6) 6
 
15.8%

Length

2023-12-10T19:00:02.341871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청소년교류 27
29.7%
국가간 23
25.3%
한중 9
 
9.9%
2019 5
 
5.5%
2017년도 3
 
3.3%
대한민국청소년자원봉사단 3
 
3.3%
2017년 3
 
3.3%
2020년 2
 
2.2%
초청사업 2
 
2.2%
2019년 2
 
2.2%
Other values (11) 12
13.2%

main_cn
Categorical

Distinct18
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
국가간 청소년교류
8 
교류활동, 문화체험, 정부기관 및 청소년기관 방문 등
6 
한중
4 
청소년교류, 기관방문, 문화체험 등
3 
2017년도 대한민국청소년자원봉사단
3 
Other values (13)
14 

Length

Max length29
Median length27
Mean length16.631579
Min length2

Unique

Unique12 ?
Unique (%)31.6%

Sample

1st row문화교류, 주제토의, 공동과제 수행
2nd row외국대표단 수행 및 통역
3rd row인솔자 등록용
4th row국외대표단 방한 시 일정 수행 및 통역
5th row2019 국가간 청소년교류

Common Values

ValueCountFrequency (%)
국가간 청소년교류 8
21.1%
교류활동, 문화체험, 정부기관 및 청소년기관 방문 등 6
15.8%
한중 4
10.5%
청소년교류, 기관방문, 문화체험 등 3
 
7.9%
2017년도 대한민국청소년자원봉사단 3
 
7.9%
청소년 교류, 청소년 관련 기관 견학, 문화체험 등 2
 
5.3%
국외 대표단 인솔, 수행 1
 
2.6%
인솔자 등록용 1
 
2.6%
국외대표단 방한 시 일정 수행 및 통역 1
 
2.6%
2019 국가간 청소년교류 1
 
2.6%
Other values (8) 8
21.1%

Length

2023-12-10T19:00:02.625742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청소년교류 14
 
9.6%
등 13
 
8.9%
문화체험 12
 
8.2%
국가간 11
 
7.5%
및 10
 
6.8%
교류활동 7
 
4.8%
방문 7
 
4.8%
정부기관 6
 
4.1%
청소년기관 6
 
4.1%
청소년 6
 
4.1%
Other values (35) 54
37.0%

hbrd_at
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
False
34 
True
4 
ValueCountFrequency (%)
False 34
89.5%
True 4
 
10.5%
2023-12-10T19:00:02.861337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

hbrd_at_value_dc
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
해외
34 
국내
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내
2nd row국내
3rd row해외
4th row국내
5th row해외

Common Values

ValueCountFrequency (%)
해외 34
89.5%
국내 4
 
10.5%

Length

2023-12-10T19:00:03.078905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:03.280322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해외 34
89.5%
국내 4
 
10.5%

bsns_pd_begin_de
Real number (ℝ)

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20172491
Minimum20140501
Maximum20201031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T19:00:03.497092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140501
5-th percentile20140908
Q120160440
median20171101
Q320190424
95-th percentile20192343
Maximum20201031
Range60530
Interquartile range (IQR)29983

Descriptive statistics

Standard deviation18413.46
Coefficient of variation (CV)0.00091280054
Kurtosis-1.1132547
Mean20172491
Median Absolute Deviation (MAD)19322
Skewness-0.33509589
Sum7.6655465 × 108
Variance3.3905553 × 108
MonotonicityNot monotonic
2023-12-10T19:00:03.742977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20190901 4
 
10.5%
20171101 2
 
5.3%
20140908 2
 
5.3%
20150508 1
 
2.6%
20170516 1
 
2.6%
20160920 1
 
2.6%
20160413 1
 
2.6%
20160523 1
 
2.6%
20160524 1
 
2.6%
20201031 1
 
2.6%
Other values (23) 23
60.5%
ValueCountFrequency (%)
20140501 1
2.6%
20140908 2
5.3%
20140911 1
2.6%
20150313 1
2.6%
20150416 1
2.6%
20150508 1
2.6%
20150629 1
2.6%
20150922 1
2.6%
20160413 1
2.6%
20160523 1
2.6%
ValueCountFrequency (%)
20201031 1
 
2.6%
20200512 1
 
2.6%
20190901 4
10.5%
20190625 1
 
2.6%
20190601 1
 
2.6%
20190521 1
 
2.6%
20190424 1
 
2.6%
20190422 1
 
2.6%
20190401 1
 
2.6%
20190312 1
 
2.6%

bsns_pd_end_de
Real number (ℝ)

Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20172802
Minimum20140904
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T19:00:03.976717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140904
5-th percentile20141006
Q120160683
median20171231
Q320190906
95-th percentile20192727
Maximum20201231
Range60327
Interquartile range (IQR)30223.25

Descriptive statistics

Standard deviation18506.35
Coefficient of variation (CV)0.00091739114
Kurtosis-1.113587
Mean20172802
Median Absolute Deviation (MAD)19675
Skewness-0.33484014
Sum7.6656649 × 108
Variance3.4248499 × 108
MonotonicityNot monotonic
2023-12-10T19:00:04.209847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20191231 4
 
10.5%
20190906 4
 
10.5%
20171110 2
 
5.3%
20191130 2
 
5.3%
20171231 2
 
5.3%
20150717 1
 
2.6%
20160601 1
 
2.6%
20150528 1
 
2.6%
20150403 1
 
2.6%
20150611 1
 
2.6%
Other values (19) 19
50.0%
ValueCountFrequency (%)
20140904 1
2.6%
20140925 1
2.6%
20141020 1
2.6%
20141120 1
2.6%
20150403 1
2.6%
20150528 1
2.6%
20150611 1
2.6%
20150717 1
2.6%
20151103 1
2.6%
20160601 1
2.6%
ValueCountFrequency (%)
20201231 1
 
2.6%
20201205 1
 
2.6%
20191231 4
10.5%
20191130 2
5.3%
20190906 4
10.5%
20190704 1
 
2.6%
20181124 1
 
2.6%
20181107 1
 
2.6%
20180831 1
 
2.6%
20180622 1
 
2.6%

one_image_atchmnfl_nm
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing35
Missing (%)92.1%
Memory size436.0 B
2023-12-10T19:00:04.532157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length32
Min length31

Characters and Unicode

Total characters96
Distinct characters39
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row2017 KYVP(1)_12754582024253709.jpg
2nd row부산센터 모집 팝업_9323218173115849.JPG
3rd rowinfo image_2053483827798755.bmp
ValueCountFrequency (%)
2017 1
14.3%
kyvp(1)_12754582024253709.jpg 1
14.3%
부산센터 1
14.3%
모집 1
14.3%
팝업_9323218173115849.jpg 1
14.3%
info 1
14.3%
image_2053483827798755.bmp 1
14.3%
2023-12-10T19:00:05.105993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
 
9.4%
1 7
 
7.3%
7 7
 
7.3%
5 7
 
7.3%
3 6
 
6.2%
8 6
 
6.2%
4
 
4.2%
0 4
 
4.2%
9 4
 
4.2%
4 4
 
4.2%
Other values (29) 38
39.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
56.2%
Lowercase Letter 15
 
15.6%
Other Letter 8
 
8.3%
Uppercase Letter 7
 
7.3%
Space Separator 4
 
4.2%
Other Punctuation 3
 
3.1%
Connector Punctuation 3
 
3.1%
Close Punctuation 1
 
1.0%
Open Punctuation 1
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 2
13.3%
i 2
13.3%
g 2
13.3%
p 2
13.3%
e 1
6.7%
a 1
6.7%
o 1
6.7%
f 1
6.7%
n 1
6.7%
j 1
6.7%
Decimal Number
ValueCountFrequency (%)
2 9
16.7%
1 7
13.0%
7 7
13.0%
5 7
13.0%
3 6
11.1%
8 6
11.1%
0 4
7.4%
9 4
7.4%
4 4
7.4%
Other Letter
ValueCountFrequency (%)
업 1
12.5%
팝 1
12.5%
집 1
12.5%
모 1
12.5%
터 1
12.5%
센 1
12.5%
산 1
12.5%
부 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
P 2
28.6%
K 1
14.3%
Y 1
14.3%
G 1
14.3%
J 1
14.3%
V 1
14.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66
68.8%
Latin 22
 
22.9%
Hangul 8
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 2
 
9.1%
i 2
 
9.1%
g 2
 
9.1%
p 2
 
9.1%
P 2
 
9.1%
e 1
 
4.5%
a 1
 
4.5%
K 1
 
4.5%
o 1
 
4.5%
f 1
 
4.5%
Other values (7) 7
31.8%
Common
ValueCountFrequency (%)
2 9
13.6%
1 7
10.6%
7 7
10.6%
5 7
10.6%
3 6
9.1%
8 6
9.1%
4
6.1%
0 4
6.1%
9 4
6.1%
4 4
6.1%
Other values (4) 8
12.1%
Hangul
ValueCountFrequency (%)
업 1
12.5%
팝 1
12.5%
집 1
12.5%
모 1
12.5%
터 1
12.5%
센 1
12.5%
산 1
12.5%
부 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88
91.7%
Hangul 8
 
8.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
 
10.2%
1 7
 
8.0%
7 7
 
8.0%
5 7
 
8.0%
3 6
 
6.8%
8 6
 
6.8%
4
 
4.5%
0 4
 
4.5%
9 4
 
4.5%
4 4
 
4.5%
Other values (21) 30
34.1%
Hangul
ValueCountFrequency (%)
업 1
12.5%
팝 1
12.5%
집 1
12.5%
모 1
12.5%
터 1
12.5%
센 1
12.5%
산 1
12.5%
부 1
12.5%

two_image_atchmnfl_nm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2023-12-10T19:00:05.371449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length35
Mean length35
Min length35

Characters and Unicode

Total characters35
Distinct characters21
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row2016KYVP 게시용 1_9323218176382090.jpg
ValueCountFrequency (%)
2016kyvp 1
33.3%
게시용 1
33.3%
1_9323218176382090.jpg 1
33.3%
2023-12-10T19:00:05.884621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
 
11.4%
1 4
 
11.4%
0 3
 
8.6%
3 3
 
8.6%
9 2
 
5.7%
6 2
 
5.7%
2
 
5.7%
8 2
 
5.7%
p 1
 
2.9%
j 1
 
2.9%
Other values (11) 11
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21
60.0%
Uppercase Letter 4
 
11.4%
Lowercase Letter 3
 
8.6%
Other Letter 3
 
8.6%
Space Separator 2
 
5.7%
Other Punctuation 1
 
2.9%
Connector Punctuation 1
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4
19.0%
1 4
19.0%
0 3
14.3%
3 3
14.3%
9 2
9.5%
6 2
9.5%
8 2
9.5%
7 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
V 1
25.0%
Y 1
25.0%
K 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
j 1
33.3%
g 1
33.3%
Other Letter
ValueCountFrequency (%)
시 1
33.3%
용 1
33.3%
게 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25
71.4%
Latin 7
 
20.0%
Hangul 3
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4
16.0%
1 4
16.0%
0 3
12.0%
3 3
12.0%
9 2
8.0%
6 2
8.0%
2
8.0%
8 2
8.0%
. 1
 
4.0%
7 1
 
4.0%
Latin
ValueCountFrequency (%)
p 1
14.3%
j 1
14.3%
P 1
14.3%
V 1
14.3%
Y 1
14.3%
K 1
14.3%
g 1
14.3%
Hangul
ValueCountFrequency (%)
시 1
33.3%
용 1
33.3%
게 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
91.4%
Hangul 3
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
12.5%
1 4
12.5%
0 3
 
9.4%
3 3
 
9.4%
9 2
 
6.2%
6 2
 
6.2%
2
 
6.2%
8 2
 
6.2%
p 1
 
3.1%
j 1
 
3.1%
Other values (8) 8
25.0%
Hangul
ValueCountFrequency (%)
시 1
33.3%
용 1
33.3%
게 1
33.3%

detail_cn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

stats_rm_cn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

one_atchmnfl_nm
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing6
Missing (%)15.8%
Memory size436.0 B
2023-12-10T19:00:06.266551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length61
Mean length53.71875
Min length29

Characters and Unicode

Total characters1719
Distinct characters117
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row(공고)2020년_온라인_국가간_청소년교류_참가자_모집_4312185772095495.hwp
2nd row2020년_국가간청소년교류_초청사업_운영진_모집공고_399727684402763.hwp
3rd row2019년 국가간 청소년교류 초청사업 운영진 모집 공고_6036395573250765.hwp
4th row첨부1_2019Korea-China_추가모집_399866668452691.hwp
5th row2019년 국가간 청소년교류 초청사업 코디네이터 추가 모집 공고_1183064026733194.hwp
ValueCountFrequency (%)
youth 10
 
6.8%
exchange 9
 
6.2%
모집 8
 
5.5%
intergovernmental 7
 
4.8%
국가간 7
 
4.8%
청소년교류 7
 
4.8%
참가자 4
 
2.7%
program 4
 
2.7%
2019년 4
 
2.7%
korea 4
 
2.7%
Other values (64) 82
56.2%
2023-12-10T19:00:07.066869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
6.6%
1 85
 
4.9%
2 81
 
4.7%
0 78
 
4.5%
4 64
 
3.7%
8 61
 
3.5%
9 61
 
3.5%
_ 59
 
3.4%
5 56
 
3.3%
6 55
 
3.2%
Other values (107) 1005
58.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 644
37.5%
Lowercase Letter 458
26.6%
Other Letter 318
18.5%
Space Separator 114
 
6.6%
Uppercase Letter 68
 
4.0%
Connector Punctuation 59
 
3.4%
Other Punctuation 32
 
1.9%
Open Punctuation 11
 
0.6%
Close Punctuation 11
 
0.6%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 25
 
7.9%
년 24
 
7.5%
공 21
 
6.6%
고 19
 
6.0%
청 17
 
5.3%
모 17
 
5.3%
집 17
 
5.3%
소 14
 
4.4%
국 14
 
4.4%
간 12
 
3.8%
Other values (55) 138
43.4%
Lowercase Letter
ValueCountFrequency (%)
h 55
12.0%
e 44
9.6%
n 40
8.7%
o 36
 
7.9%
r 36
 
7.9%
p 35
 
7.6%
a 34
 
7.4%
w 31
 
6.8%
t 30
 
6.6%
g 26
 
5.7%
Other values (12) 91
19.9%
Uppercase Letter
ValueCountFrequency (%)
E 9
13.2%
Y 8
11.8%
I 8
11.8%
P 8
11.8%
K 7
10.3%
N 6
8.8%
A 6
8.8%
C 5
7.4%
O 3
 
4.4%
R 3
 
4.4%
Other values (2) 5
7.4%
Decimal Number
ValueCountFrequency (%)
1 85
13.2%
2 81
12.6%
0 78
12.1%
4 64
9.9%
8 61
9.5%
9 61
9.5%
5 56
8.7%
6 55
8.5%
7 53
8.2%
3 50
7.8%
Open Punctuation
ValueCountFrequency (%)
( 9
81.8%
[ 2
 
18.2%
Close Punctuation
ValueCountFrequency (%)
) 9
81.8%
] 2
 
18.2%
Space Separator
ValueCountFrequency (%)
114
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 59
100.0%
Other Punctuation
ValueCountFrequency (%)
. 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 875
50.9%
Latin 526
30.6%
Hangul 318
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 25
 
7.9%
년 24
 
7.5%
공 21
 
6.6%
고 19
 
6.0%
청 17
 
5.3%
모 17
 
5.3%
집 17
 
5.3%
소 14
 
4.4%
국 14
 
4.4%
간 12
 
3.8%
Other values (55) 138
43.4%
Latin
ValueCountFrequency (%)
h 55
 
10.5%
e 44
 
8.4%
n 40
 
7.6%
o 36
 
6.8%
r 36
 
6.8%
p 35
 
6.7%
a 34
 
6.5%
w 31
 
5.9%
t 30
 
5.7%
g 26
 
4.9%
Other values (24) 159
30.2%
Common
ValueCountFrequency (%)
114
13.0%
1 85
9.7%
2 81
9.3%
0 78
8.9%
4 64
 
7.3%
8 61
 
7.0%
9 61
 
7.0%
_ 59
 
6.7%
5 56
 
6.4%
6 55
 
6.3%
Other values (8) 161
18.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1401
81.5%
Hangul 318
 
18.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
 
8.1%
1 85
 
6.1%
2 81
 
5.8%
0 78
 
5.6%
4 64
 
4.6%
8 61
 
4.4%
9 61
 
4.4%
_ 59
 
4.2%
5 56
 
4.0%
6 55
 
3.9%
Other values (42) 687
49.0%
Hangul
ValueCountFrequency (%)
가 25
 
7.9%
년 24
 
7.5%
공 21
 
6.6%
고 19
 
6.0%
청 17
 
5.3%
모 17
 
5.3%
집 17
 
5.3%
소 14
 
4.4%
국 14
 
4.4%
간 12
 
3.8%
Other values (55) 138
43.4%

two_atchmnfl_nm
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing34
Missing (%)89.5%
Memory size436.0 B
2023-12-10T19:00:07.570011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length49
Min length39

Characters and Unicode

Total characters196
Distinct characters82
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row(안내)주민등록실명확인서비스_중단에_따른_국제교류사업_지원방법안내_1193211115452543.hwp
2nd row붙임. 대한민국청소년자원봉사단 참가자 모집 공고_7409854880370917.pdf
3rd row[붙임]2017KYVP모집 공고문_9323218182973133.hwp
4th rowphoto_korea china youth exchange_8450491970404249.pdf
ValueCountFrequency (%)
안내)주민등록실명확인서비스_중단에_따른_국제교류사업_지원방법안내_1193211115452543.hwp 1
8.3%
붙임 1
8.3%
대한민국청소년자원봉사단 1
8.3%
참가자 1
8.3%
모집 1
8.3%
공고_7409854880370917.pdf 1
8.3%
붙임]2017kyvp모집 1
8.3%
공고문_9323218182973133.hwp 1
8.3%
photo_korea 1
8.3%
china 1
8.3%
Other values (2) 2
16.7%
2023-12-10T19:00:08.293012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12
 
6.1%
4 9
 
4.6%
_ 9
 
4.6%
8
 
4.1%
9 8
 
4.1%
3 8
 
4.1%
0 7
 
3.6%
2 7
 
3.6%
8 6
 
3.1%
7 6
 
3.1%
Other values (72) 116
59.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68
34.7%
Other Letter 58
29.6%
Lowercase Letter 40
20.4%
Connector Punctuation 9
 
4.6%
Space Separator 8
 
4.1%
Other Punctuation 5
 
2.6%
Uppercase Letter 4
 
2.0%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
붙 2
 
3.4%
원 2
 
3.4%
안 2
 
3.4%
임 2
 
3.4%
고 2
 
3.4%
공 2
 
3.4%
집 2
 
3.4%
자 2
 
3.4%
사 2
 
3.4%
단 2
 
3.4%
Other values (34) 38
65.5%
Lowercase Letter
ValueCountFrequency (%)
h 6
15.0%
p 5
12.5%
o 4
10.0%
e 3
 
7.5%
a 3
 
7.5%
w 2
 
5.0%
d 2
 
5.0%
f 2
 
5.0%
n 2
 
5.0%
c 2
 
5.0%
Other values (8) 9
22.5%
Decimal Number
ValueCountFrequency (%)
1 12
17.6%
4 9
13.2%
9 8
11.8%
3 8
11.8%
0 7
10.3%
2 7
10.3%
8 6
8.8%
7 6
8.8%
5 5
7.4%
Uppercase Letter
ValueCountFrequency (%)
V 1
25.0%
P 1
25.0%
Y 1
25.0%
K 1
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
50.0%
( 1
50.0%
Close Punctuation
ValueCountFrequency (%)
] 1
50.0%
) 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94
48.0%
Hangul 58
29.6%
Latin 44
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
붙 2
 
3.4%
원 2
 
3.4%
안 2
 
3.4%
임 2
 
3.4%
고 2
 
3.4%
공 2
 
3.4%
집 2
 
3.4%
자 2
 
3.4%
사 2
 
3.4%
단 2
 
3.4%
Other values (34) 38
65.5%
Latin
ValueCountFrequency (%)
h 6
13.6%
p 5
 
11.4%
o 4
 
9.1%
e 3
 
6.8%
a 3
 
6.8%
w 2
 
4.5%
d 2
 
4.5%
f 2
 
4.5%
n 2
 
4.5%
c 2
 
4.5%
Other values (12) 13
29.5%
Common
ValueCountFrequency (%)
1 12
12.8%
4 9
9.6%
_ 9
9.6%
8
8.5%
9 8
8.5%
3 8
8.5%
0 7
7.4%
2 7
7.4%
8 6
6.4%
7 6
6.4%
Other values (6) 14
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
70.4%
Hangul 58
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12
 
8.7%
4 9
 
6.5%
_ 9
 
6.5%
8
 
5.8%
9 8
 
5.8%
3 8
 
5.8%
0 7
 
5.1%
2 7
 
5.1%
8 6
 
4.3%
7 6
 
4.3%
Other values (28) 58
42.0%
Hangul
ValueCountFrequency (%)
붙 2
 
3.4%
원 2
 
3.4%
안 2
 
3.4%
임 2
 
3.4%
고 2
 
3.4%
공 2
 
3.4%
집 2
 
3.4%
자 2
 
3.4%
사 2
 
3.4%
단 2
 
3.4%
Other values (34) 38
65.5%

partcpt_flag_nm
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
국가간교류
33 
공모사업
5 

Length

Max length5
Median length5
Mean length4.8684211
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국가간교류 33
86.8%
공모사업 5
 
13.2%

Length

2023-12-10T19:00:08.691193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:00:08.997193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가간교류 33
86.8%
공모사업 5
 
13.2%

application_rcept_pd_begin_de
Real number (ℝ)

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20184051
Minimum20170301
Maximum20200925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T19:00:09.198524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170301
5-th percentile20180101
Q120180172
median20180302
Q320190408
95-th percentile20192252
Maximum20200925
Range30624
Interquartile range (IQR)10235.5

Descriptive statistics

Standard deviation6464.0982
Coefficient of variation (CV)0.00032025773
Kurtosis0.58908566
Mean20184051
Median Absolute Deviation (MAD)200.5
Skewness0.86760188
Sum7.6699393 × 108
Variance41784566
MonotonicityNot monotonic
2023-12-10T19:00:09.455391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20180301 9
23.7%
20180101 6
15.8%
20180302 2
 
5.3%
20200925 1
 
2.6%
20180328 1
 
2.6%
20170301 1
 
2.6%
20180103 1
 
2.6%
20180102 1
 
2.6%
20180914 1
 
2.6%
20180529 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
20170301 1
 
2.6%
20180101 6
15.8%
20180102 1
 
2.6%
20180103 1
 
2.6%
20180129 1
 
2.6%
20180301 9
23.7%
20180302 2
 
5.3%
20180328 1
 
2.6%
20180423 1
 
2.6%
20180529 1
 
2.6%
ValueCountFrequency (%)
20200925 1
2.6%
20200316 1
2.6%
20190829 1
2.6%
20190808 1
2.6%
20190706 1
2.6%
20190621 1
2.6%
20190601 1
2.6%
20190521 1
2.6%
20190422 1
2.6%
20190409 1
2.6%

application_rcept_pd_end_de
Real number (ℝ)

Distinct25
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20184096
Minimum20170307
Maximum20201005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T19:00:09.772045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170307
5-th percentile20180102
Q120180172
median20180302
Q320190414
95-th percentile20192607
Maximum20201005
Range30698
Interquartile range (IQR)10242.25

Descriptive statistics

Standard deviation6509.0792
Coefficient of variation (CV)0.00032248554
Kurtosis0.53768989
Mean20184096
Median Absolute Deviation (MAD)200.5
Skewness0.8618469
Sum7.6699566 × 108
Variance42368113
MonotonicityNot monotonic
2023-12-10T19:00:10.051382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20180301 7
18.4%
20180102 6
 
15.8%
20180302 2
 
5.3%
20180303 2
 
5.3%
20201005 1
 
2.6%
20200403 1
 
2.6%
20170307 1
 
2.6%
20180103 1
 
2.6%
20180119 1
 
2.6%
20180927 1
 
2.6%
Other values (15) 15
39.5%
ValueCountFrequency (%)
20170307 1
 
2.6%
20180102 6
15.8%
20180103 1
 
2.6%
20180119 1
 
2.6%
20180129 1
 
2.6%
20180301 7
18.4%
20180302 2
 
5.3%
20180303 2
 
5.3%
20180418 1
 
2.6%
20180426 1
 
2.6%
ValueCountFrequency (%)
20201005 1
2.6%
20200403 1
2.6%
20191231 1
2.6%
20191031 1
2.6%
20190829 1
2.6%
20190715 1
2.6%
20190704 1
2.6%
20190611 1
2.6%
20190602 1
2.6%
20190416 1
2.6%

application_rcept_pd_begin_time
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7894737
Minimum0
Maximum18
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T19:00:10.284961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15.25
median10
Q313
95-th percentile18
Maximum18
Range18
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation5.1420781
Coefficient of variation (CV)0.52526604
Kurtosis-0.84568248
Mean9.7894737
Median Absolute Deviation (MAD)3.5
Skewness-0.20054555
Sum372
Variance26.440967
MonotonicityNot monotonic
2023-12-10T19:00:10.604052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
13 8
21.1%
10 5
13.2%
5 4
10.5%
1 3
 
7.9%
18 3
 
7.9%
7 3
 
7.9%
14 2
 
5.3%
9 2
 
5.3%
17 2
 
5.3%
4 2
 
5.3%
Other values (4) 4
10.5%
ValueCountFrequency (%)
0 1
 
2.6%
1 3
 
7.9%
4 2
 
5.3%
5 4
10.5%
6 1
 
2.6%
7 3
 
7.9%
9 2
 
5.3%
10 5
13.2%
11 1
 
2.6%
13 8
21.1%
ValueCountFrequency (%)
18 3
 
7.9%
17 2
 
5.3%
15 1
 
2.6%
14 2
 
5.3%
13 8
21.1%
11 1
 
2.6%
10 5
13.2%
9 2
 
5.3%
7 3
 
7.9%
6 1
 
2.6%

application_rcept_pd_end_time
Real number (ℝ)

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.894737
Minimum2
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-10T19:00:10.892369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.85
Q17.25
median13
Q318
95-th percentile23
Maximum23
Range21
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation6.2071862
Coefficient of variation (CV)0.48137363
Kurtosis-1.044069
Mean12.894737
Median Absolute Deviation (MAD)5
Skewness-0.045540741
Sum490
Variance38.529161
MonotonicityNot monotonic
2023-12-10T19:00:11.124495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
18 9
23.7%
23 4
10.5%
13 4
10.5%
7 4
10.5%
9 3
 
7.9%
12 2
 
5.3%
14 2
 
5.3%
2 2
 
5.3%
5 2
 
5.3%
19 1
 
2.6%
Other values (5) 5
13.2%
ValueCountFrequency (%)
2 2
5.3%
3 1
 
2.6%
5 2
5.3%
6 1
 
2.6%
7 4
10.5%
8 1
 
2.6%
9 3
7.9%
10 1
 
2.6%
12 2
5.3%
13 4
10.5%
ValueCountFrequency (%)
23 4
10.5%
19 1
 
2.6%
18 9
23.7%
17 1
 
2.6%
14 2
 
5.3%
13 4
10.5%
12 2
 
5.3%
10 1
 
2.6%
9 3
 
7.9%
8 1
 
2.6%

Sample

event_info_seq_noopertn_yearmngt_grp_nmpblanc_korean_nmpblanc_engl_nmpartcptn_bsns_nmbsns_nmmain_cnhbrd_athbrd_at_value_dcbsns_pd_begin_debsns_pd_end_deone_image_atchmnfl_nmtwo_image_atchmnfl_nmdetail_cnstats_rm_cnone_atchmnfl_nmtwo_atchmnfl_nmpartcpt_flag_nmapplication_rcept_pd_begin_deapplication_rcept_pd_end_deapplication_rcept_pd_begin_timeapplication_rcept_pd_end_time
036822020한국청소년활동진흥원2020년 온라인 국가간 청소년교류 청소년 및 통역 모집 공고2020 Intergovernmental Youth Exchange Program국가간 청소년교류2020년 온라인 국가간 청소년교류문화교류, 주제토의, 공동과제 수행Y국내2020103120201205<NA><NA><NA><NA>(공고)2020년_온라인_국가간_청소년교류_참가자_모집_4312185772095495.hwp(안내)주민등록실명확인서비스_중단에_따른_국제교류사업_지원방법안내_1193211115452543.hwp국가간교류20200925202010051418
136032020한국청소년활동진흥원(국내활동)2020년 국가간 청소년교류 초청사업 운영진 모집(국내활동)2020년 국가간 청소년교류 초청사업 운영진 모집국가간 청소년교류2020년 국가간 청소년교류 초청사업외국대표단 수행 및 통역Y국내2020051220201231<NA><NA><NA><NA>2020년_국가간청소년교류_초청사업_운영진_모집공고_399727684402763.hwp<NA>국가간교류20200316202004031323
232432019한국청소년활동진흥원인솔자 등록용인솔자 등록용국가간 청소년교류인솔자 등록용인솔자 등록용N해외2019060120191231<NA><NA><NA><NA><NA><NA>국가간교류20190601201906021013
329002019한국청소년활동진흥원(국내활동)2019년 국가간 청소년교류 초청사업 운영진 모집.국가간 청소년교류2019년 국가간 청소년교류 초청사업국외대표단 방한 시 일정 수행 및 통역Y국내2019040120191130<NA><NA><NA><NA>2019년 국가간 청소년교류 초청사업 운영진 모집 공고_6036395573250765.hwp<NA>국가간교류20190311201903241023
431002019한국청소년활동진흥원2019 국가간 청소년교류 ""인솔자 등록용""2019 국가간 청소년교류 ""인솔자 등록용""국가간 청소년교류2019 국가간 청소년교류2019 국가간 청소년교류N해외2019042220191231<NA><NA><NA><NA><NA><NA>국가간교류2019042220191231123
533402019한국스카우트연맹2019년 한중 청소년교류 추가 모집 공고2019 Korea-China한중 청소년 교류2019 한중 청소년교류청소년 교류, 청소년 관련 기관 견학, 문화체험 등N해외2019090120190906<NA><NA><NA><NA>첨부1_2019Korea-China_추가모집_399866668452691.hwp<NA>국가간교류2019070620190715918
633622019한국스카우트연맹2019 한중 청소년교류 인솔자 및 추가선발자 등록용2019 korea-china한중 청소년 교류2019 한중 청소년교류청소년 교류, 대학 및 기업 방문 등N해외2019090120190906<NA><NA><NA><NA><NA><NA>국가간교류2019080820191031919
730402019한국청소년활동진흥원(국내)2019 국가간 청소년교류 초청사업 코디네이터 추가 모집2019 국가간 청소년교류 초청사업 코디네이터 추가 모집국가간 청소년교류2019 국가간 청소년교류국외 대표단 인솔, 수행Y국내2019042420191130<NA><NA><NA><NA>2019년 국가간 청소년교류 초청사업 코디네이터 추가 모집 공고_1183064026733194.hwp<NA>국가간교류20190409201904161323
833022019한국스카우트연맹2019년 한중 청소년교류 참가자 모집 공고2019 Korea-China한중 청소년 교류2019년 한중 청소년교류 파견사업청소년 교류, 청소년 관련 기관 견학, 문화체험 등N해외2019090120190906<NA><NA><NA><NA>첨부1_2019Korea-China_399919956885100.hwp<NA>국가간교류20190621201907041518
932012019한국청소년활동진흥원2019년 국가간 청소년교류 2차 파견대표단 청소년 및 통역 모집 공고2019년 국가간 청소년교류 2차 파견대표단 청소년 및 통역 모집 공고국가간 청소년교류국가간 청소년교류교류활동, 문화체험, 정부기관 및 청소년기관 방문 등N해외2019052120191231<NA><NA><NA><NA>(공고)2019년_국가간청소년교류_2차_참가자모집_공고문_4824282515500623.hwp<NA>국가간교류20190521201906111712
event_info_seq_noopertn_yearmngt_grp_nmpblanc_korean_nmpblanc_engl_nmpartcptn_bsns_nmbsns_nmmain_cnhbrd_athbrd_at_value_dcbsns_pd_begin_debsns_pd_end_deone_image_atchmnfl_nmtwo_image_atchmnfl_nmdetail_cnstats_rm_cnone_atchmnfl_nmtwo_atchmnfl_nmpartcpt_flag_nmapplication_rcept_pd_begin_deapplication_rcept_pd_end_deapplication_rcept_pd_begin_timeapplication_rcept_pd_end_time
2815062016한국청소년활동진흥원2016년 한중 청소년 교류 1차 파견 청소년 참가자 모집2016 korea china한중 청소년교류한중한중N해외2016052420160601<NA><NA><NA><NA>2016_ KOREA CHINA_29868084271580604.hwp<NA>국가간교류201803012018030112
2913732015한국청소년활동진흥원2015년 국가간 청소년 교류 참가 청소년 2차 모집 공고intergovernmental youth exchange국가간 청소년교류국가간 청소년교류국가간 청소년교류N해외2015050820150528<NA><NA><NA><NA>intergovernmental youth exchange program_4478982156945021.hwp<NA>국가간교류201703012017030757
3013122015한국청소년활동진흥원2015년 국가간 청소년교류 대한민국 청소년대표단 모집Intergovernmental youth exchange program국가간 청소년교류국가간 청소년교류국가간 청소년교류N해외2015031320150403<NA><NA><NA><NA>2015 intergovernmental youth exchange program_11734302141107984.hwp<NA>국가간교류201803012018030145
3113532015한국청소년활동진흥원2015년 한중 청소년교류 1차 파견 대표단 참가자 모집korea china youth exchange promgram한중 청소년교류한중한중N해외2015041620150611info image_2053483827798755.bmp<NA><NA><NA>notice of korea china youth exchange program_3587125756919236.hwp<NA>국가간교류201803012018030155
3214242015한국청소년활동진흥원2015년 한·중 청소년교류 2차 파견 청소년 참가자 모집 공고2015 korea china youth exchange program한중 청소년교류한중한중N해외2015062920150717<NA><NA><NA><NA>2015 korea china youth exchange_8431163933167415.hwpphoto_korea china youth exchange_8450491970404249.pdf국가간교류20180301201803011113
3314432015한국청소년활동진흥원2015년 국가간 청소년교류 참가 청소년 3차 모집공고2015+intergovernmental+youth+exchange+program3국가간 청소년교류국가간 청소년교류국가간 청소년교류N해외2015092220151103<NA><NA><NA><NA>2015_국가간_청소년교류_3차_모집_공고_9664562094454416.hwp<NA>국가간교류201803012018030146
3410392014한국청소년활동진흥원2014년 국가간 청소년 교류 대한민국 청소년대표단 1차 모집 공고2014 Intergovernmental Youth Exchange Program Notice국가간 청소년교류국가간 청소년교류국가간 청소년교류N해외2014050120140904<NA><NA><NA><NA>2014 Intergovernmental Youth Exchange Program 1st Notice_10428520235783746.hwp<NA>국가간교류201803012018030157
3512132014한국청소년활동진흥원2014 국가간 청소년교류 대한민국 청소년대표단 추가모집 공고Intergovernmental youth exchange program국가간 청소년교류국가간 청소년교류국가간 청소년교류N해외2014091120140925<NA><NA><NA><NA><NA><NA>국가간교류20180301201803011010
3611572014한국청소년활동진흥원2014년 국가간 청소년교류 2차 파견단 (통역요원) 모집 공고Intergovernmental Youth Exchange Program 2014국가간 청소년교류국가간 청소년교류국가간 청소년교류N해외2014090820141020<NA><NA><NA><NA>2014 Intergovernmental Youth Exchange Program 2nd Notice_5845812703788349.hwp<NA>국가간교류201803012018030277
3711562014한국청소년활동진흥원2014년 국가간 청소년교류 2차 파견단 (청소년) 모집 공고2014 Intergovernmental Youth Exchange Program국가간 청소년교류국가간 청소년교류국가간 청소년교류N해외2014090820141120<NA><NA><NA><NA>2014 Intergovernmental Youth Exchange Program 2nd Notice_5845678710707517.hwp<NA>국가간교류2018030220180303109