Overview

Dataset statistics

Number of variables5
Number of observations29
Missing cells5
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory45.6 B

Variable types

Numeric1
Text4

Dataset

Description순번,제목,내용,썸네일이미지링크,영상링크
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15637/S/1/datasetView.do

Alerts

내용 has 5 (17.2%) missing valuesMissing
순번 has unique valuesUnique
제목 has unique valuesUnique
썸네일이미지링크 has unique valuesUnique
영상링크 has unique valuesUnique

Reproduction

Analysis started2024-05-18 05:08:53.056092
Analysis finished2024-05-18 05:08:54.697533
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-18T14:08:54.885050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityNot monotonic
2024-05-18T14:08:55.517869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 1
 
3.4%
21 1
 
3.4%
11 1
 
3.4%
6 1
 
3.4%
9 1
 
3.4%
8 1
 
3.4%
27 1
 
3.4%
28 1
 
3.4%
24 1
 
3.4%
25 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

제목
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-18T14:08:56.219970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length32
Mean length23.241379
Min length7

Characters and Unicode

Total characters674
Distinct characters178
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

Unique29 ?
Unique (%)100.0%

Sample

1st row서울둘레길 가족편
2nd row8코스 도봉탐방지원센터
3rd row서울둘레길 구축,발전 영상
4th row영상앨범 산 500회 특집 - 1부 서울의 가을을 산책하다
5th row서울둘레길 노래 -해맑은 아이들
ValueCountFrequency (%)
서울둘레길 13
 
8.9%
서울 5
 
3.4%
속 4
 
2.7%
도심 4
 
2.7%
힐링여행 3
 
2.1%
3
 
2.1%
함께 3
 
2.1%
함께한 3
 
2.1%
5코스 2
 
1.4%
미션&보물찾기 2
 
1.4%
Other values (91) 104
71.2%
2024-05-18T14:08:57.332881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
17.8%
서 23
 
3.4%
울 23
 
3.4%
코 17
 
2.5%
스 17
 
2.5%
길 17
 
2.5%
레 16
 
2.4%
둘 16
 
2.4%
0 10
 
1.5%
산 9
 
1.3%
Other values (168) 406
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
61.7%
Space Separator 120
 
17.8%
Lowercase Letter 53
 
7.9%
Decimal Number 43
 
6.4%
Other Punctuation 15
 
2.2%
Dash Punctuation 7
 
1.0%
Uppercase Letter 7
 
1.0%
Open Punctuation 6
 
0.9%
Close Punctuation 6
 
0.9%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 23
 
5.5%
울 23
 
5.5%
코 17
 
4.1%
스 17
 
4.1%
길 17
 
4.1%
레 16
 
3.8%
둘 16
 
3.8%
산 9
 
2.2%
함 8
 
1.9%
께 8
 
1.9%
Other values (126) 262
63.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
13.2%
l 6
11.3%
a 6
11.3%
r 4
 
7.5%
o 4
 
7.5%
m 4
 
7.5%
i 3
 
5.7%
s 3
 
5.7%
t 3
 
5.7%
v 2
 
3.8%
Other values (7) 11
20.8%
Decimal Number
ValueCountFrequency (%)
0 10
23.3%
1 8
18.6%
5 6
14.0%
3 5
11.6%
4 4
 
9.3%
2 4
 
9.3%
7 3
 
7.0%
8 2
 
4.7%
6 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
' 6
40.0%
! 2
 
13.3%
& 2
 
13.3%
; 2
 
13.3%
, 2
 
13.3%
. 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
T 4
57.1%
V 2
28.6%
D 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
61.7%
Common 198
29.4%
Latin 60
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 23
 
5.5%
울 23
 
5.5%
코 17
 
4.1%
스 17
 
4.1%
길 17
 
4.1%
레 16
 
3.8%
둘 16
 
3.8%
산 9
 
2.2%
함 8
 
1.9%
께 8
 
1.9%
Other values (126) 262
63.0%
Common
ValueCountFrequency (%)
120
60.6%
0 10
 
5.1%
1 8
 
4.0%
- 7
 
3.5%
' 6
 
3.0%
5 6
 
3.0%
3 5
 
2.5%
( 5
 
2.5%
) 5
 
2.5%
4 4
 
2.0%
Other values (12) 22
 
11.1%
Latin
ValueCountFrequency (%)
e 7
11.7%
l 6
 
10.0%
a 6
 
10.0%
T 4
 
6.7%
r 4
 
6.7%
o 4
 
6.7%
m 4
 
6.7%
i 3
 
5.0%
s 3
 
5.0%
t 3
 
5.0%
Other values (10) 16
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
61.7%
ASCII 258
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
46.5%
0 10
 
3.9%
1 8
 
3.1%
e 7
 
2.7%
- 7
 
2.7%
' 6
 
2.3%
l 6
 
2.3%
5 6
 
2.3%
a 6
 
2.3%
3 5
 
1.9%
Other values (32) 77
29.8%
Hangul
ValueCountFrequency (%)
서 23
 
5.5%
울 23
 
5.5%
코 17
 
4.1%
스 17
 
4.1%
길 17
 
4.1%
레 16
 
3.8%
둘 16
 
3.8%
산 9
 
2.2%
함 8
 
1.9%
께 8
 
1.9%
Other values (126) 262
63.0%

내용
Text

MISSING 

Distinct12
Distinct (%)50.0%
Missing5
Missing (%)17.2%
Memory size364.0 B
2024-05-18T14:08:57.889853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length1
Mean length15.833333
Min length1

Characters and Unicode

Total characters380
Distinct characters104
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

Unique11 ?
Unique (%)45.8%

Sample

1st row.
2nd row생방송 모닝와이드 아침을 먹읍시다 8코스 도봉탐방지원센터 160901
3rd row서울둘레길(발전영상)
4th row.
5th row.
ValueCountFrequency (%)
13
 
14.9%
모닝와이드 8
 
9.2%
아침을 8
 
9.2%
먹읍시다 8
 
9.2%
생방송 8
 
9.2%
8코스 2
 
2.3%
서울둘레길 2
 
2.3%
건축가 1
 
1.1%
관악산 1
 
1.1%
입구 1
 
1.1%
Other values (35) 35
40.2%
2024-05-18T14:08:58.795787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
16.8%
. 14
 
3.7%
1 11
 
2.9%
스 10
 
2.6%
코 10
 
2.6%
시 9
 
2.4%
방 9
 
2.4%
0 9
 
2.4%
6 9
 
2.4%
드 9
 
2.4%
Other values (94) 226
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
63.2%
Space Separator 64
 
16.8%
Decimal Number 54
 
14.2%
Other Punctuation 16
 
4.2%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Lowercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 10
 
4.2%
코 10
 
4.2%
시 9
 
3.8%
방 9
 
3.8%
드 9
 
3.8%
아 9
 
3.8%
을 9
 
3.8%
다 9
 
3.8%
생 8
 
3.3%
읍 8
 
3.3%
Other values (76) 150
62.5%
Decimal Number
ValueCountFrequency (%)
1 11
20.4%
0 9
16.7%
6 9
16.7%
8 8
14.8%
2 5
9.3%
5 3
 
5.6%
3 3
 
5.6%
4 2
 
3.7%
7 2
 
3.7%
9 2
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 14
87.5%
, 1
 
6.2%
! 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
63.2%
Common 138
36.3%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 10
 
4.2%
코 10
 
4.2%
시 9
 
3.8%
방 9
 
3.8%
드 9
 
3.8%
아 9
 
3.8%
을 9
 
3.8%
다 9
 
3.8%
생 8
 
3.3%
읍 8
 
3.3%
Other values (76) 150
62.5%
Common
ValueCountFrequency (%)
64
46.4%
. 14
 
10.1%
1 11
 
8.0%
0 9
 
6.5%
6 9
 
6.5%
8 8
 
5.8%
2 5
 
3.6%
5 3
 
2.2%
3 3
 
2.2%
4 2
 
1.4%
Other values (6) 10
 
7.2%
Latin
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
63.2%
ASCII 140
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
45.7%
. 14
 
10.0%
1 11
 
7.9%
0 9
 
6.4%
6 9
 
6.4%
8 8
 
5.7%
2 5
 
3.6%
5 3
 
2.1%
3 3
 
2.1%
4 2
 
1.4%
Other values (8) 12
 
8.6%
Hangul
ValueCountFrequency (%)
스 10
 
4.2%
코 10
 
4.2%
시 9
 
3.8%
방 9
 
3.8%
드 9
 
3.8%
아 9
 
3.8%
을 9
 
3.8%
다 9
 
3.8%
생 8
 
3.3%
읍 8
 
3.3%
Other values (76) 150
62.5%

썸네일이미지링크
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-18T14:08:59.517493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length67.413793
Min length65

Characters and Unicode

Total characters1955
Distinct characters33
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttp://gil.seoul.go.kr/view/movie/2015/12/08/9756688330148326.JPG
2nd rowhttp://gil.seoul.go.kr/view/movie/2016/10/24/1477284387691040000.JPG
3rd rowhttp://gil.seoul.go.kr/view/movie/2016/11/01/1477982696419976000.jpg
4th rowhttp://gil.seoul.go.kr/view/movie/2015/12/08/9742880502069288.jpg
5th rowhttp://gil.seoul.go.kr/view/movie/2015/12/08/9757374592015138.jpg
ValueCountFrequency (%)
http://gil.seoul.go.kr/view/movie/2015/12/08/9756688330148326.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2016/10/24/1477283428419935000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2015/12/23/1450844716076495000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2015/12/23/1450845154502645000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2015/12/23/1450844988405831000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2018/11/09/1541744545439406000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2018/11/09/1541746415804011000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2018/08/24/1535090036036667000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2018/09/12/1536733210249076000.jpg 1
 
3.4%
http://gil.seoul.go.kr/view/movie/2015/12/23/1450844839355618000.jpg 1
 
3.4%
Other values (19) 19
65.5%
2024-05-18T14:09:00.860431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 232
 
11.9%
0 162
 
8.3%
1 123
 
6.3%
. 116
 
5.9%
2 91
 
4.7%
o 87
 
4.5%
e 87
 
4.5%
i 87
 
4.5%
4 75
 
3.8%
g 74
 
3.8%
Other values (23) 821
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 773
39.5%
Decimal Number 766
39.2%
Other Punctuation 377
19.3%
Uppercase Letter 39
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 87
11.3%
e 87
11.3%
i 87
11.3%
g 74
9.6%
l 58
 
7.5%
v 58
 
7.5%
t 58
 
7.5%
p 45
 
5.8%
h 29
 
3.8%
w 29
 
3.8%
Other values (7) 161
20.8%
Decimal Number
ValueCountFrequency (%)
0 162
21.1%
1 123
16.1%
2 91
11.9%
4 75
9.8%
8 63
 
8.2%
6 58
 
7.6%
7 57
 
7.4%
5 54
 
7.0%
9 43
 
5.6%
3 40
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 232
61.5%
. 116
30.8%
: 29
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
J 13
33.3%
P 13
33.3%
G 13
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1143
58.5%
Latin 812
41.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 87
10.7%
e 87
10.7%
i 87
10.7%
g 74
 
9.1%
l 58
 
7.1%
v 58
 
7.1%
t 58
 
7.1%
p 45
 
5.5%
h 29
 
3.6%
w 29
 
3.6%
Other values (10) 200
24.6%
Common
ValueCountFrequency (%)
/ 232
20.3%
0 162
14.2%
1 123
10.8%
. 116
10.1%
2 91
 
8.0%
4 75
 
6.6%
8 63
 
5.5%
6 58
 
5.1%
7 57
 
5.0%
5 54
 
4.7%
Other values (3) 112
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 232
 
11.9%
0 162
 
8.3%
1 123
 
6.3%
. 116
 
5.9%
2 91
 
4.7%
o 87
 
4.5%
e 87
 
4.5%
i 87
 
4.5%
4 75
 
3.8%
g 74
 
3.8%
Other values (23) 821
42.0%

영상링크
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-18T14:09:01.720127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length60
Mean length41.034483
Min length28

Characters and Unicode

Total characters1190
Distinct characters70
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttps://youtu.be/BI3uAprdmm4
2nd rowhttps://youtu.be/ZfQfXNsKMxk
3rd rowhttps://www.youtube.com/watch?v=lBVIYIXZVV4
4th rowhttps://youtu.be/C0l-1G5lDd4?list=PL9WJv39D0SW4utnYaGK_jqqjJ6YiN-FO2
5th rowhttps://youtu.be/D1ZKxqD445c
ValueCountFrequency (%)
https://youtu.be/bi3uaprdmm4 1
 
3.4%
https://www.youtube.com/watch?v=mww4o66gwjo&feature=youtu.be 1
 
3.4%
http://tv.seoul.go.kr/ls/index.asp?no=102779&ty=v 1
 
3.4%
http://tv.seoul.go.kr/ls/index.asp?no=108625&ty=v 1
 
3.4%
http://tv.seoul.go.kr/ls/index.asp?no=106984&ty=v 1
 
3.4%
https://youtu.be/qxa2lidozv0 1
 
3.4%
https://youtu.be/jwimqwmmbz0 1
 
3.4%
https://www.youtube.com/watch?v=rde4y4-a750 1
 
3.4%
https://youtu.be/3a7n-kqa0dc 1
 
3.4%
http://tv.seoul.go.kr/ls/index.asp?no=105428&ty=v 1
 
3.4%
Other values (19) 19
65.5%
2024-05-18T14:09:03.048661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 115
 
9.7%
/ 92
 
7.7%
u 72
 
6.1%
o 62
 
5.2%
. 58
 
4.9%
e 54
 
4.5%
s 46
 
3.9%
w 41
 
3.4%
b 39
 
3.3%
h 39
 
3.3%
Other values (60) 572
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 740
62.2%
Other Punctuation 204
 
17.1%
Uppercase Letter 121
 
10.2%
Decimal Number 93
 
7.8%
Math Symbol 25
 
2.1%
Dash Punctuation 4
 
0.3%
Connector Punctuation 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 115
15.5%
u 72
 
9.7%
o 62
 
8.4%
e 54
 
7.3%
s 46
 
6.2%
w 41
 
5.5%
b 39
 
5.3%
h 39
 
5.3%
p 39
 
5.3%
y 35
 
4.7%
Other values (16) 198
26.8%
Uppercase Letter
ValueCountFrequency (%)
V 9
 
7.4%
Y 9
 
7.4%
D 7
 
5.8%
W 7
 
5.8%
F 7
 
5.8%
I 7
 
5.8%
Q 6
 
5.0%
B 6
 
5.0%
M 6
 
5.0%
Z 5
 
4.1%
Other values (16) 52
43.0%
Decimal Number
ValueCountFrequency (%)
0 15
16.1%
4 13
14.0%
1 11
11.8%
2 9
9.7%
9 9
9.7%
7 8
8.6%
3 7
7.5%
8 7
7.5%
5 7
7.5%
6 7
7.5%
Other Punctuation
ValueCountFrequency (%)
/ 92
45.1%
. 58
28.4%
: 29
 
14.2%
? 16
 
7.8%
& 9
 
4.4%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 861
72.4%
Common 329
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 115
 
13.4%
u 72
 
8.4%
o 62
 
7.2%
e 54
 
6.3%
s 46
 
5.3%
w 41
 
4.8%
b 39
 
4.5%
h 39
 
4.5%
p 39
 
4.5%
y 35
 
4.1%
Other values (42) 319
37.0%
Common
ValueCountFrequency (%)
/ 92
28.0%
. 58
17.6%
: 29
 
8.8%
= 25
 
7.6%
? 16
 
4.9%
0 15
 
4.6%
4 13
 
4.0%
1 11
 
3.3%
2 9
 
2.7%
9 9
 
2.7%
Other values (8) 52
15.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 115
 
9.7%
/ 92
 
7.7%
u 72
 
6.1%
o 62
 
5.2%
. 58
 
4.9%
e 54
 
4.5%
s 46
 
3.9%
w 41
 
3.4%
b 39
 
3.3%
h 39
 
3.3%
Other values (60) 572
48.1%

Interactions

2024-05-18T14:08:53.842331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T14:09:03.645407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번제목내용썸네일이미지링크영상링크
순번1.0001.0000.5081.0001.000
제목1.0001.0001.0001.0001.000
내용0.5081.0001.0001.0001.000
썸네일이미지링크1.0001.0001.0001.0001.000
영상링크1.0001.0001.0001.0001.000

Missing values

2024-05-18T14:08:54.252134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T14:08:54.586407image/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

순번제목내용썸네일이미지링크영상링크
03서울둘레길 가족편.http://gil.seoul.go.kr/view/movie/2015/12/08/9756688330148326.JPGhttps://youtu.be/BI3uAprdmm4
1218코스 도봉탐방지원센터생방송 모닝와이드 아침을 먹읍시다 8코스 도봉탐방지원센터 160901http://gil.seoul.go.kr/view/movie/2016/10/24/1477284387691040000.JPGhttps://youtu.be/ZfQfXNsKMxk
222서울둘레길 구축,발전 영상서울둘레길(발전영상)http://gil.seoul.go.kr/view/movie/2016/11/01/1477982696419976000.jpghttps://www.youtube.com/watch?v=lBVIYIXZVV4
31영상앨범 산 500회 특집 - 1부 서울의 가을을 산책하다.http://gil.seoul.go.kr/view/movie/2015/12/08/9742880502069288.jpghttps://youtu.be/C0l-1G5lDd4?list=PL9WJv39D0SW4utnYaGK_jqqjJ6YiN-FO2
44서울둘레길 노래 -해맑은 아이들.http://gil.seoul.go.kr/view/movie/2015/12/08/9757374592015138.jpghttps://youtu.be/D1ZKxqD445c
5105코스 (사진작가 조세현과 함께한 서울 도심 여행 5탄).http://gil.seoul.go.kr/view/movie/2016/01/27/1453874117449534000.jpghttp://tv.seoul.go.kr/ls15/v.asp?no=109936
62영상앨범 산 500회 특집 - 서울둘레길 2부 함께 걷는길.http://gil.seoul.go.kr/view/movie/2015/12/08/9742665378001814.jpghttps://youtu.be/boQMFUbceAs
75The Dulle-gil Trails of seoul -아리랑TV.http://gil.seoul.go.kr/view/movie/2015/12/08/9757876770592118.JPGhttps://youtu.be/BQbZuAPIcoM
8141코스 노원골생방송 모닝와이드 아침을 먹읍시다 1코스(노원골)http://gil.seoul.go.kr/view/movie/2016/10/24/1477283248612817000.JPGhttps://youtu.be/l8vTBf_7FY4
9207코스 월드컵경기장생방송 모닝와이드 아침을 먹읍시다 7코스 월드컵경기장 160831http://gil.seoul.go.kr/view/movie/2016/10/24/1477284506942685000.JPGhttps://youtu.be/vVgsL7WMHbI
순번제목내용썸네일이미지링크영상링크
1913tbs TV - 숫자로 보는 '서울둘레길'.http://gil.seoul.go.kr/view/movie/2016/08/16/1471334971141878000.JPGhttps://www.youtube.com/watch?v=c9Fikwseerg
2072코스 (비정상회담 수잔, 일리야와 함께하는 서울 도심 속 힐링여행 2탄).http://gil.seoul.go.kr/view/movie/2015/12/23/1450844839355618000.jpghttp://tv.seoul.go.kr/ls/index.asp?no=105428&ty=V
2125100명이 함께 서울둘레길을 완주하는 서울둘레길 100인원정대<NA>http://gil.seoul.go.kr/view/movie/2018/09/12/1536733210249076000.JPGhttps://youtu.be/3A7n-kQa0Dc
2224한국기행-korea travel_서울산책3부 다같이 돌자 서울둘레길!.http://gil.seoul.go.kr/view/movie/2018/08/24/1535090036036667000.JPGhttps://www.youtube.com/watch?v=RDE4y4-a750
2328서울둘레길축제 미션&amp;보물찾기 드론 영상<NA>http://gil.seoul.go.kr/view/movie/2018/11/09/1541746415804011000.jpghttps://youtu.be/JWImQWmmBz0
2427서울둘레길 개통4주년 '서울둘레길축제 미션&amp;보물찾기' after movie 티저영상<NA>http://gil.seoul.go.kr/view/movie/2018/11/09/1541744545439406000.jpghttps://youtu.be/QXa2lIdoZv0
2583코스 (이광기와 함께하는 서울 도심 속 힐링여행 3탄).http://gil.seoul.go.kr/view/movie/2015/12/23/1450844988405831000.jpghttp://tv.seoul.go.kr/ls/index.asp?no=106984&ty=V
2694코스 (사유리와 함께한 서울 도심 속 힐링여행 4탄).http://gil.seoul.go.kr/view/movie/2015/12/23/1450845154502645000.jpghttp://tv.seoul.go.kr/ls/index.asp?no=108625&ty=V
2761코스 (산악인 오은선과 함께 걷는 서울둘레길).http://gil.seoul.go.kr/view/movie/2015/12/23/1450844716076495000.jpghttp://tv.seoul.go.kr/ls/index.asp?no=102779&ty=V
2811배우 최불암과 함께한 서울둘레길 불암산 코스!<NA>http://gil.seoul.go.kr/view/movie/2016/02/24/1456291111055662000.jpghttps://youtu.be/kYxxBCCX2aE