Overview

Dataset statistics

Number of variables14
Number of observations100
Missing cells475
Missing cells (%)33.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory118.3 B

Variable types

Numeric1
Categorical3
Text7
Unsupported3

Alerts

yy has constant value ""Constant
no is highly overall correlated with seHigh correlation
se is highly overall correlated with no and 1 other fieldsHigh correlation
writng_de is highly overall correlated with seHigh correlation
site_addr has 7 (7.0%) missing valuesMissing
dt has 67 (67.0%) missing valuesMissing
progrm_nm has 100 (100.0%) missing valuesMissing
auspc_nm has 98 (98.0%) missing valuesMissing
origin_dc has 3 (3.0%) missing valuesMissing
offer_nm has 100 (100.0%) missing valuesMissing
kwrd_cn has 100 (100.0%) missing valuesMissing
no has unique valuesUnique
sj has unique valuesUnique
hmpg_addr has unique valuesUnique
nm has unique valuesUnique
progrm_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported
offer_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported
kwrd_cn is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:54:42.026762
Analysis finished2023-12-10 09:54:45.001881
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

no
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:54:45.157229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityNot monotonic
2023-12-10T18:54:45.493015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 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%
67 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
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%
93 1
1.0%
92 1
1.0%
91 1
1.0%

yy
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2015
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 100
100.0%

Length

2023-12-10T18:54:45.823156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:46.000889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 100
100.0%

se
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
팟캐스트
52 
라디오
21 
공간
10 
TV
7 
단체
7 
Other values (2)
 
3

Length

Max length4
Median length4
Mean length3.27
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
팟캐스트 52
52.0%
라디오 21
21.0%
공간 10
 
10.0%
TV 7
 
7.0%
단체 7
 
7.0%
온라인 2
 
2.0%
행사 1
 
1.0%

Length

2023-12-10T18:54:46.225337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:54:46.496943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
팟캐스트 52
52.0%
라디오 21
21.0%
공간 10
 
10.0%
tv 7
 
7.0%
단체 7
 
7.0%
온라인 2
 
2.0%
행사 1
 
1.0%

sj
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:54:47.039146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15.5
Mean length9.95
Min length2

Characters and Unicode

Total characters995
Distinct characters289
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row라디오 독서실 [1]
2nd row소설극장
3rd row명사들의 책읽기
4th row연속낭독
5th row라디오 극장
ValueCountFrequency (%)
라디오 8
 
3.2%
8
 
3.2%
인문학 5
 
2.0%
1 3
 
1.2%
책방 3
 
1.2%
책다방 3
 
1.2%
책 3
 
1.2%
조선왕조실록 2
 
0.8%
팟캐스트 2
 
0.8%
콘서트 2
 
0.8%
Other values (202) 208
84.2%
2023-12-10T18:54:48.285187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
14.8%
의 31
 
3.1%
문 23
 
2.3%
책 20
 
2.0%
이 17
 
1.7%
학 16
 
1.6%
시 14
 
1.4%
인 14
 
1.4%
다 12
 
1.2%
사 12
 
1.2%
Other values (279) 689
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 778
78.2%
Space Separator 147
 
14.8%
Other Punctuation 23
 
2.3%
Lowercase Letter 18
 
1.8%
Uppercase Letter 14
 
1.4%
Decimal Number 8
 
0.8%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 31
 
4.0%
문 23
 
3.0%
책 20
 
2.6%
이 17
 
2.2%
학 16
 
2.1%
시 14
 
1.8%
인 14
 
1.8%
다 12
 
1.5%
사 12
 
1.5%
라 12
 
1.5%
Other values (243) 607
78.0%
Lowercase Letter
ValueCountFrequency (%)
t 3
16.7%
r 2
11.1%
p 2
11.1%
n 2
11.1%
a 2
11.1%
y 1
 
5.6%
d 1
 
5.6%
u 1
 
5.6%
b 1
 
5.6%
e 1
 
5.6%
Other values (2) 2
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
K 2
14.3%
B 2
14.3%
T 2
14.3%
V 1
 
7.1%
G 1
 
7.1%
A 1
 
7.1%
M 1
 
7.1%
E 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
: 8
34.8%
' 8
34.8%
, 4
17.4%
& 1
 
4.3%
! 1
 
4.3%
? 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 5
62.5%
2 2
 
25.0%
3 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Space Separator
ValueCountFrequency (%)
147
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 777
78.1%
Common 185
 
18.6%
Latin 32
 
3.2%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 31
 
4.0%
문 23
 
3.0%
책 20
 
2.6%
이 17
 
2.2%
학 16
 
2.1%
시 14
 
1.8%
인 14
 
1.8%
다 12
 
1.5%
사 12
 
1.5%
라 12
 
1.5%
Other values (242) 606
78.0%
Latin
ValueCountFrequency (%)
t 3
 
9.4%
S 3
 
9.4%
K 2
 
6.2%
B 2
 
6.2%
T 2
 
6.2%
r 2
 
6.2%
p 2
 
6.2%
n 2
 
6.2%
a 2
 
6.2%
V 1
 
3.1%
Other values (11) 11
34.4%
Common
ValueCountFrequency (%)
147
79.5%
: 8
 
4.3%
' 8
 
4.3%
1 5
 
2.7%
, 4
 
2.2%
) 2
 
1.1%
( 2
 
1.1%
2 2
 
1.1%
~ 1
 
0.5%
& 1
 
0.5%
Other values (5) 5
 
2.7%
Han
ValueCountFrequency (%)
通 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 777
78.1%
ASCII 217
 
21.8%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
67.7%
: 8
 
3.7%
' 8
 
3.7%
1 5
 
2.3%
, 4
 
1.8%
t 3
 
1.4%
S 3
 
1.4%
K 2
 
0.9%
B 2
 
0.9%
T 2
 
0.9%
Other values (26) 33
 
15.2%
Hangul
ValueCountFrequency (%)
의 31
 
4.0%
문 23
 
3.0%
책 20
 
2.6%
이 17
 
2.2%
학 16
 
2.1%
시 14
 
1.8%
인 14
 
1.8%
다 12
 
1.5%
사 12
 
1.5%
라 12
 
1.5%
Other values (242) 606
78.0%
CJK
ValueCountFrequency (%)
通 1
100.0%

hmpg_addr
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:54:48.771287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length30.98
Min length17

Characters and Unicode

Total characters3098
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowhttp://www.kbs.co.kr/radio/happyfm/library
2nd rowhttp://www.kbs.co.kr/radio/3radio/novel
3rd rowhttp://www.kbs.co.kr/radio/3radio/readbook
4th rowhttp://www.kbs.co.kr/radio/3radio/speech
5th rowhttp://www.kbs.co.kr/radio/scr/theater
ValueCountFrequency (%)
http://www.kbs.co.kr/radio/happyfm/library 1
 
1.0%
http://www.podbbang.com/ch/9313 1
 
1.0%
http://www.kbs.co.kr/radio/1radio/culturegong 1
 
1.0%
http://www.ktv.go.kr/program/home/pg1110786d/main 1
 
1.0%
http://home.ebs.co.kr/humanities/main 1
 
1.0%
http://www.imbc.com/broad/tv/culture/4color 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/theday 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/jangshow 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/gunmyung 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/tvbook 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:54:49.896206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 371
 
12.0%
w 240
 
7.7%
t 233
 
7.5%
o 221
 
7.1%
. 220
 
7.1%
h 175
 
5.6%
p 164
 
5.3%
c 161
 
5.2%
b 141
 
4.6%
a 116
 
3.7%
Other values (34) 1056
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2155
69.6%
Other Punctuation 691
 
22.3%
Decimal Number 244
 
7.9%
Uppercase Letter 8
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 240
11.1%
t 233
10.8%
o 221
10.3%
h 175
 
8.1%
p 164
 
7.6%
c 161
 
7.5%
b 141
 
6.5%
a 116
 
5.4%
m 94
 
4.4%
n 90
 
4.2%
Other values (14) 520
24.1%
Decimal Number
ValueCountFrequency (%)
1 36
14.8%
4 31
12.7%
6 27
11.1%
9 26
10.7%
8 26
10.7%
5 25
10.2%
7 25
10.2%
0 19
7.8%
3 17
7.0%
2 12
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
J 2
25.0%
P 1
12.5%
G 1
12.5%
D 1
12.5%
L 1
12.5%
K 1
12.5%
U 1
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 371
53.7%
. 220
31.8%
: 100
 
14.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 2163
69.8%
Common 935
30.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 240
11.1%
t 233
10.8%
o 221
10.2%
h 175
 
8.1%
p 164
 
7.6%
c 161
 
7.4%
b 141
 
6.5%
a 116
 
5.4%
m 94
 
4.3%
n 90
 
4.2%
Other values (21) 528
24.4%
Common
ValueCountFrequency (%)
/ 371
39.7%
. 220
23.5%
: 100
 
10.7%
1 36
 
3.9%
4 31
 
3.3%
6 27
 
2.9%
9 26
 
2.8%
8 26
 
2.8%
5 25
 
2.7%
7 25
 
2.7%
Other values (3) 48
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3098
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 371
 
12.0%
w 240
 
7.7%
t 233
 
7.5%
o 221
 
7.1%
. 220
 
7.1%
h 175
 
5.6%
p 164
 
5.3%
c 161
 
5.2%
b 141
 
4.6%
a 116
 
3.7%
Other values (34) 1056
34.1%

site_addr
Text

MISSING 

Distinct92
Distinct (%)98.9%
Missing7
Missing (%)7.0%
Memory size932.0 B
2023-12-10T18:54:50.684916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length313
Median length138
Mean length107.03226
Min length22

Characters and Unicode

Total characters9954
Distinct characters73
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)97.8%

Sample

1st rowhttp://www.kbs.co.kr/radio/frequency/index.html, https://itunes.apple.com/kr/podcast/id698520690, http://www.podbbang.com/ch/6694
2nd rowhttp://www.kbs.co.kr/radio/frequency, https://itunes.apple.com/kr/podcast/id958830497
3rd rowhttp://www.kbs.co.kr/radio/frequency
4th rowhttp://www.kbs.co.kr/radio/frequency, https://itunes.apple.com/kr/podcast/id958830489
5th rowhttp://www.kbs.co.kr/radio/frequency, http://www.podbbang.com/ch/8800, https://itunes.apple.com/kr/podcast/ladio-geugjang/id958830531?mt=2
ValueCountFrequency (%)
http://www.ebs.co.kr/customer/introduce/watching/radiofrequency 8
 
3.9%
http://www.kbs.co.kr/radio/frequency 8
 
3.9%
https://itunes.apple.com/kr/podcast/id698520690 2
 
1.0%
http://www.imbc.com/broad/radio/frequency 2
 
1.0%
https://www.youtube.com/channel/ucor-qasyoyorkqtygn_d9dg/videos 1
 
0.5%
http://blog.naver.com/musieur89 1
 
0.5%
https://twitter.com/history_theday 1
 
0.5%
https://www.facebook.com/historytheday 1
 
0.5%
http://www.ebs.co.kr/customer/introduce/watching/cable 1
 
0.5%
http://tvcast.naver.com/humanities 1
 
0.5%
Other values (180) 180
87.4%
2023-12-10T18:54:51.805656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 857
 
8.6%
t 767
 
7.7%
o 602
 
6.0%
a 471
 
4.7%
e 449
 
4.5%
p 445
 
4.5%
c 434
 
4.4%
. 426
 
4.3%
s 413
 
4.1%
n 357
 
3.6%
Other values (63) 4733
47.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7026
70.6%
Other Punctuation 1660
 
16.7%
Decimal Number 820
 
8.2%
Uppercase Letter 162
 
1.6%
Space Separator 113
 
1.1%
Dash Punctuation 104
 
1.0%
Math Symbol 57
 
0.6%
Connector Punctuation 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 767
 
10.9%
o 602
 
8.6%
a 471
 
6.7%
e 449
 
6.4%
p 445
 
6.3%
c 434
 
6.2%
s 413
 
5.9%
n 357
 
5.1%
i 340
 
4.8%
w 337
 
4.8%
Other values (16) 2411
34.3%
Uppercase Letter
ValueCountFrequency (%)
P 11
 
6.8%
L 10
 
6.2%
Q 10
 
6.2%
R 9
 
5.6%
C 9
 
5.6%
V 9
 
5.6%
Y 8
 
4.9%
T 8
 
4.9%
H 7
 
4.3%
Z 7
 
4.3%
Other values (16) 74
45.7%
Decimal Number
ValueCountFrequency (%)
2 125
15.2%
9 106
12.9%
0 92
11.2%
5 84
10.2%
8 79
9.6%
3 79
9.6%
6 69
8.4%
1 67
8.2%
7 60
7.3%
4 59
7.2%
Other Punctuation
ValueCountFrequency (%)
/ 857
51.6%
. 426
25.7%
: 206
 
12.4%
, 113
 
6.8%
? 54
 
3.3%
& 3
 
0.2%
! 1
 
0.1%
Space Separator
ValueCountFrequency (%)
113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Math Symbol
ValueCountFrequency (%)
= 57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7188
72.2%
Common 2766
 
27.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 767
 
10.7%
o 602
 
8.4%
a 471
 
6.6%
e 449
 
6.2%
p 445
 
6.2%
c 434
 
6.0%
s 413
 
5.7%
n 357
 
5.0%
i 340
 
4.7%
w 337
 
4.7%
Other values (42) 2573
35.8%
Common
ValueCountFrequency (%)
/ 857
31.0%
. 426
15.4%
: 206
 
7.4%
2 125
 
4.5%
113
 
4.1%
, 113
 
4.1%
9 106
 
3.8%
- 104
 
3.8%
0 92
 
3.3%
5 84
 
3.0%
Other values (11) 540
19.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 857
 
8.6%
t 767
 
7.7%
o 602
 
6.0%
a 471
 
4.7%
e 449
 
4.5%
p 445
 
4.5%
c 434
 
4.4%
. 426
 
4.3%
s 413
 
4.1%
n 357
 
3.6%
Other values (63) 4733
47.5%

nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:54:52.399035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length13.17
Min length2

Characters and Unicode

Total characters1317
Distinct characters305
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row[KBS 제 2라디오] 라디오 독서실
2nd row[KBS 제3라디오] 소설극장
3rd row[KBS 제 3라디오] 명사들의 책읽기
4th row[KBS 제 3라디오] 연속낭독
5th row[KBS 한민족/제 3라디오] 라디오 극장
ValueCountFrequency (%)
kbs 14
 
4.5%
ebs 10
 
3.2%
라디오 8
 
2.6%
fm 8
 
2.6%
8
 
2.6%
제 7
 
2.2%
인문학 5
 
1.6%
1tv 4
 
1.3%
3라디오 4
 
1.3%
mbc 3
 
1.0%
Other values (220) 241
77.2%
2023-12-10T18:54:53.356541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
16.1%
의 32
 
2.4%
[ 28
 
2.1%
B 28
 
2.1%
S 28
 
2.1%
] 28
 
2.1%
문 25
 
1.9%
라 21
 
1.6%
책 20
 
1.5%
디 19
 
1.4%
Other values (295) 876
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 849
64.5%
Space Separator 212
 
16.1%
Uppercase Letter 129
 
9.8%
Open Punctuation 31
 
2.4%
Close Punctuation 31
 
2.4%
Other Punctuation 25
 
1.9%
Decimal Number 21
 
1.6%
Lowercase Letter 18
 
1.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 32
 
3.8%
문 25
 
2.9%
라 21
 
2.5%
책 20
 
2.4%
디 19
 
2.2%
오 19
 
2.2%
이 18
 
2.1%
학 18
 
2.1%
인 15
 
1.8%
시 15
 
1.8%
Other values (252) 647
76.2%
Uppercase Letter
ValueCountFrequency (%)
B 28
21.7%
S 28
21.7%
K 16
12.4%
M 15
11.6%
F 11
 
8.5%
E 10
 
7.8%
T 7
 
5.4%
V 6
 
4.7%
C 3
 
2.3%
U 1
 
0.8%
Other values (4) 4
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
t 3
16.7%
r 2
11.1%
p 2
11.1%
n 2
11.1%
a 2
11.1%
y 1
 
5.6%
u 1
 
5.6%
d 1
 
5.6%
b 1
 
5.6%
m 1
 
5.6%
Other values (2) 2
11.1%
Other Punctuation
ValueCountFrequency (%)
' 8
32.0%
: 8
32.0%
, 4
16.0%
· 1
 
4.0%
& 1
 
4.0%
/ 1
 
4.0%
! 1
 
4.0%
? 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 11
52.4%
3 6
28.6%
2 4
 
19.0%
Open Punctuation
ValueCountFrequency (%)
[ 28
90.3%
( 3
 
9.7%
Close Punctuation
ValueCountFrequency (%)
] 28
90.3%
) 3
 
9.7%
Space Separator
ValueCountFrequency (%)
212
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 847
64.3%
Common 321
 
24.4%
Latin 147
 
11.2%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 32
 
3.8%
문 25
 
3.0%
라 21
 
2.5%
책 20
 
2.4%
디 19
 
2.2%
오 19
 
2.2%
이 18
 
2.1%
학 18
 
2.1%
인 15
 
1.8%
시 15
 
1.8%
Other values (250) 645
76.2%
Latin
ValueCountFrequency (%)
B 28
19.0%
S 28
19.0%
K 16
10.9%
M 15
10.2%
F 11
 
7.5%
E 10
 
6.8%
T 7
 
4.8%
V 6
 
4.1%
C 3
 
2.0%
t 3
 
2.0%
Other values (16) 20
13.6%
Common
ValueCountFrequency (%)
212
66.0%
[ 28
 
8.7%
] 28
 
8.7%
1 11
 
3.4%
' 8
 
2.5%
: 8
 
2.5%
3 6
 
1.9%
2 4
 
1.2%
, 4
 
1.2%
( 3
 
0.9%
Other values (7) 9
 
2.8%
Han
ValueCountFrequency (%)
前 1
50.0%
通 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 847
64.3%
ASCII 467
35.5%
CJK 2
 
0.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
45.4%
[ 28
 
6.0%
B 28
 
6.0%
S 28
 
6.0%
] 28
 
6.0%
K 16
 
3.4%
M 15
 
3.2%
F 11
 
2.4%
1 11
 
2.4%
E 10
 
2.1%
Other values (32) 80
 
17.1%
Hangul
ValueCountFrequency (%)
의 32
 
3.8%
문 25
 
3.0%
라 21
 
2.5%
책 20
 
2.4%
디 19
 
2.2%
오 19
 
2.2%
이 18
 
2.1%
학 18
 
2.1%
인 15
 
1.8%
시 15
 
1.8%
Other values (250) 645
76.2%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
前 1
50.0%
通 1
50.0%

dt
Text

MISSING 

Distinct23
Distinct (%)69.7%
Missing67
Missing (%)67.0%
Memory size932.0 B
2023-12-10T18:54:53.740670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.121212
Min length10

Characters and Unicode

Total characters367
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)48.5%

Sample

1st row2016.04월 종영
2nd row2015.08월 종영
3rd row2016.03월 종영
4th row2015.12월 종료
5th row2016.04월 종료
ValueCountFrequency (%)
종료 22
31.4%
종영 11
15.7%
2016.04월 5
 
7.1%
2015.12월 4
 
5.7%
2016.06월 2
 
2.9%
2016.03월 2
 
2.9%
2016.01월 2
 
2.9%
2016.12월 2
 
2.9%
2016.08월 2
 
2.9%
2015.05월 2
 
2.9%
Other values (16) 16
22.9%
2023-12-10T18:54:54.596171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
15.0%
1 49
13.4%
2 40
10.9%
37
10.1%
종 33
9.0%
월 32
8.7%
. 31
8.4%
6 23
6.3%
료 22
 
6.0%
5 12
 
3.3%
Other values (11) 33
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 196
53.4%
Other Letter 103
28.1%
Space Separator 37
 
10.1%
Other Punctuation 31
 
8.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
28.1%
1 49
25.0%
2 40
20.4%
6 23
11.7%
5 12
 
6.1%
4 9
 
4.6%
8 4
 
2.0%
3 2
 
1.0%
7 1
 
0.5%
9 1
 
0.5%
Other Letter
ValueCountFrequency (%)
종 33
32.0%
월 32
31.1%
료 22
21.4%
영 11
 
10.7%
시 1
 
1.0%
즌 1
 
1.0%
년 1
 
1.0%
행 1
 
1.0%
사 1
 
1.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
71.9%
Hangul 103
 
28.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
20.8%
1 49
18.6%
2 40
15.2%
37
14.0%
. 31
11.7%
6 23
8.7%
5 12
 
4.5%
4 9
 
3.4%
8 4
 
1.5%
3 2
 
0.8%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
종 33
32.0%
월 32
31.1%
료 22
21.4%
영 11
 
10.7%
시 1
 
1.0%
즌 1
 
1.0%
년 1
 
1.0%
행 1
 
1.0%
사 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
71.9%
Hangul 103
 
28.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
20.8%
1 49
18.6%
2 40
15.2%
37
14.0%
. 31
11.7%
6 23
8.7%
5 12
 
4.5%
4 9
 
3.4%
8 4
 
1.5%
3 2
 
0.8%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
종 33
32.0%
월 32
31.1%
료 22
21.4%
영 11
 
10.7%
시 1
 
1.0%
즌 1
 
1.0%
년 1
 
1.0%
행 1
 
1.0%
사 1
 
1.0%

progrm_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

auspc_nm
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T18:54:55.029148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters62
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowhttp://www.podbbang.com/ch/8413
2nd rowhttp://www.podbbang.com/ch/7461
ValueCountFrequency (%)
http://www.podbbang.com/ch/8413 1
50.0%
http://www.podbbang.com/ch/7461 1
50.0%
2023-12-10T18:54:55.701934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 8
12.9%
w 6
 
9.7%
h 4
 
6.5%
c 4
 
6.5%
p 4
 
6.5%
. 4
 
6.5%
o 4
 
6.5%
b 4
 
6.5%
t 4
 
6.5%
1 2
 
3.2%
Other values (11) 18
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40
64.5%
Other Punctuation 14
 
22.6%
Decimal Number 8
 
12.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 6
15.0%
h 4
10.0%
c 4
10.0%
p 4
10.0%
o 4
10.0%
b 4
10.0%
t 4
10.0%
m 2
 
5.0%
a 2
 
5.0%
g 2
 
5.0%
Other values (2) 4
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
4 2
25.0%
8 1
12.5%
3 1
12.5%
7 1
12.5%
6 1
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 8
57.1%
. 4
28.6%
: 2
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 40
64.5%
Common 22
35.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 6
15.0%
h 4
10.0%
c 4
10.0%
p 4
10.0%
o 4
10.0%
b 4
10.0%
t 4
10.0%
m 2
 
5.0%
a 2
 
5.0%
g 2
 
5.0%
Other values (2) 4
10.0%
Common
ValueCountFrequency (%)
/ 8
36.4%
. 4
18.2%
1 2
 
9.1%
4 2
 
9.1%
: 2
 
9.1%
8 1
 
4.5%
3 1
 
4.5%
7 1
 
4.5%
6 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 8
12.9%
w 6
 
9.7%
h 4
 
6.5%
c 4
 
6.5%
p 4
 
6.5%
. 4
 
6.5%
o 4
 
6.5%
b 4
 
6.5%
t 4
 
6.5%
1 2
 
3.2%
Other values (11) 18
29.0%

origin_dc
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T18:54:56.215474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length43
Mean length30.85567
Min length17

Characters and Unicode

Total characters2993
Distinct characters64
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st rowhttp://www.kbs.co.kr/radio/happyfm/library
2nd rowhttp://www.kbs.co.kr/radio/3radio/novel
3rd rowhttp://www.kbs.co.kr/radio/3radio/readbook
4th rowhttp://www.kbs.co.kr/radio/3radio/speech
5th rowhttp://www.kbs.co.kr/radio/scr/theater
ValueCountFrequency (%)
2
 
1.9%
http://www.podbbang.com/ch/6659 1
 
1.0%
http://www.kbs.co.kr/radio/1radio/sisaclassic 1
 
1.0%
https://goo.gl/7wumaa 1
 
1.0%
http://home.ebs.co.kr/humanities/main 1
 
1.0%
http://www.imbc.com/broad/tv/culture/4color 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/theday 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/jangshow 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/gunmyung 1
 
1.0%
http://www.kbs.co.kr/1tv/sisa/tvbook 1
 
1.0%
Other values (93) 93
89.4%
2023-12-10T18:54:57.086110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 350
 
11.7%
t 227
 
7.6%
w 223
 
7.5%
. 212
 
7.1%
o 212
 
7.1%
h 165
 
5.5%
p 159
 
5.3%
c 152
 
5.1%
b 130
 
4.3%
a 113
 
3.8%
Other values (54) 1050
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2076
69.4%
Other Punctuation 660
 
22.1%
Decimal Number 218
 
7.3%
Other Letter 20
 
0.7%
Space Separator 7
 
0.2%
Uppercase Letter 7
 
0.2%
Math Symbol 4
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 227
10.9%
w 223
10.7%
o 212
10.2%
h 165
 
7.9%
p 159
 
7.7%
c 152
 
7.3%
b 130
 
6.3%
a 113
 
5.4%
m 88
 
4.2%
n 86
 
4.1%
Other values (14) 521
25.1%
Other Letter
ValueCountFrequency (%)
즈 2
 
10.0%
스 2
 
10.0%
이 2
 
10.0%
판 1
 
5.0%
튠 1
 
5.0%
시 1
 
5.0%
게 1
 
5.0%
위 1
 
5.0%
아 1
 
5.0%
빵 1
 
5.0%
Other values (7) 7
35.0%
Decimal Number
ValueCountFrequency (%)
1 30
13.8%
4 28
12.8%
8 24
11.0%
6 24
11.0%
9 24
11.0%
7 24
11.0%
5 21
9.6%
0 16
7.3%
3 14
6.4%
2 13
6.0%
Uppercase Letter
ValueCountFrequency (%)
U 2
28.6%
J 2
28.6%
L 1
14.3%
M 1
14.3%
K 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 350
53.0%
. 212
32.1%
: 96
 
14.5%
? 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
| 2
50.0%
= 2
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2083
69.6%
Common 890
29.7%
Hangul 20
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 227
10.9%
w 223
10.7%
o 212
10.2%
h 165
 
7.9%
p 159
 
7.6%
c 152
 
7.3%
b 130
 
6.2%
a 113
 
5.4%
m 88
 
4.2%
n 86
 
4.1%
Other values (19) 528
25.3%
Common
ValueCountFrequency (%)
/ 350
39.3%
. 212
23.8%
: 96
 
10.8%
1 30
 
3.4%
4 28
 
3.1%
8 24
 
2.7%
6 24
 
2.7%
9 24
 
2.7%
7 24
 
2.7%
5 21
 
2.4%
Other values (8) 57
 
6.4%
Hangul
ValueCountFrequency (%)
즈 2
 
10.0%
스 2
 
10.0%
이 2
 
10.0%
판 1
 
5.0%
튠 1
 
5.0%
시 1
 
5.0%
게 1
 
5.0%
위 1
 
5.0%
아 1
 
5.0%
빵 1
 
5.0%
Other values (7) 7
35.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2973
99.3%
Hangul 20
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 350
 
11.8%
t 227
 
7.6%
w 223
 
7.5%
. 212
 
7.1%
o 212
 
7.1%
h 165
 
5.5%
p 159
 
5.3%
c 152
 
5.1%
b 130
 
4.4%
a 113
 
3.8%
Other values (37) 1030
34.6%
Hangul
ValueCountFrequency (%)
즈 2
 
10.0%
스 2
 
10.0%
이 2
 
10.0%
판 1
 
5.0%
튠 1
 
5.0%
시 1
 
5.0%
게 1
 
5.0%
위 1
 
5.0%
아 1
 
5.0%
빵 1
 
5.0%
Other values (7) 7
35.0%

offer_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

kwrd_cn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

writng_de
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2015-10-29
64 
2015-11-11
13 
2015-11-12
10 
2015-11-13
 
3
2015-12-09
 
2
Other values (8)
8 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique8 ?
Unique (%)8.0%

Sample

1st row2015-10-29
2nd row2015-10-29
3rd row2015-10-29
4th row2015-10-29
5th row2015-10-29

Common Values

ValueCountFrequency (%)
2015-10-29 64
64.0%
2015-11-11 13
 
13.0%
2015-11-12 10
 
10.0%
2015-11-13 3
 
3.0%
2015-12-09 2
 
2.0%
2015-11-10 1
 
1.0%
2015-11-17 1
 
1.0%
2015-11-23 1
 
1.0%
2015-11-30 1
 
1.0%
2015-12-02 1
 
1.0%
Other values (3) 3
 
3.0%

Length

2023-12-10T18:54:57.379027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-10-29 64
64.0%
2015-11-11 13
 
13.0%
2015-11-12 10
 
10.0%
2015-11-13 3
 
3.0%
2015-12-09 2
 
2.0%
2015-11-10 1
 
1.0%
2015-11-17 1
 
1.0%
2015-11-23 1
 
1.0%
2015-11-30 1
 
1.0%
2015-12-02 1
 
1.0%
Other values (3) 3
 
3.0%

Interactions

2023-12-10T18:54:43.642979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:54:57.691958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
nosesjhmpg_addrsite_addrnmdtauspc_nmorigin_dcwritng_de
no1.0000.7671.0001.0001.0001.0000.7990.0001.0000.740
se0.7671.0001.0001.0001.0001.0000.885NaN1.0000.873
sj1.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
hmpg_addr1.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
site_addr1.0001.0001.0001.0001.0001.0000.9000.0001.0001.000
nm1.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
dt0.7990.8851.0001.0000.9001.0001.000NaN1.0000.852
auspc_nm0.000NaN0.0000.0000.0000.000NaN1.000NaNNaN
origin_dc1.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
writng_de0.7400.8731.0001.0001.0001.0000.852NaN1.0001.000
2023-12-10T18:54:58.506834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
sewritng_de
se1.0000.633
writng_de0.6331.000
2023-12-10T18:54:58.771876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
nosewritng_de
no1.0000.5200.414
se0.5201.0000.633
writng_de0.4140.6331.000

Missing values

2023-12-10T18:54:43.879777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:54:44.436135image/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.
2023-12-10T18:54:44.866472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

noyysesjhmpg_addrsite_addrnmdtprogrm_nmauspc_nmorigin_dcoffer_nmkwrd_cnwritng_de
012015라디오라디오 독서실 [1]http://www.kbs.co.kr/radio/happyfm/libraryhttp://www.kbs.co.kr/radio/frequency/index.html, https://itunes.apple.com/kr/podcast/id698520690, http://www.podbbang.com/ch/6694[KBS 제 2라디오] 라디오 독서실2016.04월 종영<NA><NA>http://www.kbs.co.kr/radio/happyfm/library<NA><NA>2015-10-29
122015라디오소설극장http://www.kbs.co.kr/radio/3radio/novelhttp://www.kbs.co.kr/radio/frequency, https://itunes.apple.com/kr/podcast/id958830497[KBS 제3라디오] 소설극장<NA><NA><NA>http://www.kbs.co.kr/radio/3radio/novel<NA><NA>2015-10-29
232015라디오명사들의 책읽기http://www.kbs.co.kr/radio/3radio/readbookhttp://www.kbs.co.kr/radio/frequency[KBS 제 3라디오] 명사들의 책읽기<NA><NA><NA>http://www.kbs.co.kr/radio/3radio/readbook<NA><NA>2015-10-29
342015라디오연속낭독http://www.kbs.co.kr/radio/3radio/speechhttp://www.kbs.co.kr/radio/frequency, https://itunes.apple.com/kr/podcast/id958830489[KBS 제 3라디오] 연속낭독<NA><NA><NA>http://www.kbs.co.kr/radio/3radio/speech<NA><NA>2015-10-29
452015라디오라디오 극장http://www.kbs.co.kr/radio/scr/theaterhttp://www.kbs.co.kr/radio/frequency, http://www.podbbang.com/ch/8800, https://itunes.apple.com/kr/podcast/ladio-geugjang/id958830531?mt=2[KBS 한민족/제 3라디오] 라디오 극장<NA><NA><NA>http://www.kbs.co.kr/radio/scr/theater<NA><NA>2015-10-29
562015라디오타박타박 역사기행http://goo.gl/4fJ4J4http://www.imbc.com/broad/radio/frequency, https://itunes.apple.com/kr/podcast/id440464811, http://www.podbbang.com/ch/65[MBC 표준FM] 타박타박 역사기행<NA><NA><NA>http://goo.gl/4fJ4J4<NA><NA>2015-10-29
672015라디오EBS 북카페http://home.ebs.co.kr/bookcafehttp://www.ebs.co.kr/customer/introduce/watching/radiofrequency, http://www.podbbang.com/ch/4950, https://itunes.apple.com/kr/podcast/id569034525[EBS FM] EBS 북카페<NA><NA><NA>http://home.ebs.co.kr/bookcafe<NA><NA>2015-10-29
782015라디오토요 인문학 콘서트http://home.ebs.co.kr/hconcerthttp://www.ebs.co.kr/customer/introduce/watching/radiofrequency, https://itunes.apple.com/kr/podcast/toyo-inmunhag-konseoteu/id979781203?mt=2, https://www.instagram.com/ebshuconcert[EBS FM] 토요 인문학 콘서트<NA><NA><NA>http://home.ebs.co.kr/hconcert<NA><NA>2015-10-29
892015라디오책처럼 음악처럼, 정형석입니다http://home.ebs.co.kr/likemusichttp://www.ebs.co.kr/customer/introduce/watching/radiofrequency, http://www.podbbang.com/ch/8365[EBS FM] 책처럼 음악처럼, 정형석입니다<NA><NA><NA>http://home.ebs.co.kr/likemusic<NA><NA>2015-10-29
9102015라디오음악이 흐르는 책방, 박원입니다http://home.ebs.co.kr/musicbookhttp://www.ebs.co.kr/customer/introduce/watching/radiofrequency, http://www.podbbang.com/ch/8360, https://itunes.apple.com/kr/podcast/eum-ag-i-heuleuneun-chaegbang/id920702280?mt=2[EBS FM] 음악이 흐르는 책방, 박원입니다<NA><NA><NA>http://home.ebs.co.kr/musicbook<NA><NA>2015-10-29
noyysesjhmpg_addrsite_addrnmdtprogrm_nmauspc_nmorigin_dcoffer_nmkwrd_cnwritng_de
90912015단체문탁 네트워크http://www.moontaknet.comhttp://blog.naver.com/inmoonschool, https://www.facebook.com/moontaknet, http://blog.naver.com/8746common문탁 네트워크<NA><NA><NA>http://www.moontaknet.com<NA><NA>2015-11-13
91922015팟캐스트영화의 심리학http://www.podbbang.com/ch/10432https://itunes.apple.com/kr/podcast/yeonghwaui-simlihag/id1047753250?mt=2영화의 심리학<NA><NA><NA>http://www.podbbang.com/ch/10432<NA><NA>2015-11-17
92932015행사인문예술캠프 : 달빛감성http://culturenori.tistory.com/4181<NA>인문예술캠프 : 달빛감성2015.11월 행사 종료<NA><NA>http://culturenori.tistory.com/4181<NA><NA>2015-11-23
93942015단체감이당http://gamidang.comhttp://gamidang.com/bbs/group.php?gr_id=01감이당<NA><NA><NA>http://gamidang.com<NA><NA>2015-11-30
94952015공간KT&G 상상마당아카데미http://www.sangsangmadang.comhttp://nonsan.sangsangmadang.com, http://chuncheon.sangsangmadang.com, https://www.facebook.com/ssmadang, https://www.facebook.com/nonsanssmadang, https://www.facebook.com/ssmadang.ccKT&G 상상마당아카데미<NA><NA><NA>http://www.sangsangmadang.com<NA><NA>2015-12-02
95962015팟캐스트옴마~ 도서관이 말을 해야http://www.podbbang.com/ch/8488http://www.hnlib.or.kr옴마~도서관이 말을 해야<NA><NA><NA>http://www.podbbang.com/ch/8488<NA><NA>2015-12-04
96972015공간인문공간 넛지살롱http://nudgesalon.comhttps://www.facebook.com/nudgesalon, https://twitter.com/nudgesalon인문공간 넛지살롱<NA><NA><NA>http://nudgesalon.com<NA><NA>2015-12-09
97982015단체인문학서원 에피쿠로스http://www.epicurus.krhttp://www.epicurus.kr/Book_Debate인문학서원 에피쿠로스<NA><NA><NA>http://www.epicurus.kr<NA><NA>2015-12-09
98992015단체청소년인문학협동조합 톨레레게http://tollelege.orghttp://tollelegeblog.tistory.com, https://www.facebook.com/tollelege.kr, https://twitter.com/tollelegeorg청소년인문학협동조합 톨레레게<NA><NA><NA>http://tollelege.org<NA><NA>2015-12-10
991002015공간책다방 빈센트반고흐http://blog.naver.com/jjvincenthttps://www.facebook.com/vincentvangogh.kr, https://twitter.com/cafe_vincent책다방 빈센트반고흐<NA><NA><NA>http://blog.naver.com/jjvincent<NA><NA>2015-12-21