Overview

Dataset statistics

Number of variables6
Number of observations41
Missing cells32
Missing cells (%)13.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory53.2 B

Variable types

Categorical1
Text2
DateTime1
Numeric2

Dataset

Description문화재청 문화유산채널의 협약 플랫폼별 콘텐츠 제공 건수 및 플랫폼별 방문자(조회) 정보를 알수 있다. (서비스 개시일부터 누적)
Author문화재청
URLhttps://www.data.go.kr/data/15087525/fileData.do

Alerts

방문자(조회)수 has 32 (78.0%) missing valuesMissing
플랫폼명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:32:19.598135
Analysis finished2023-12-12 06:32:20.648442
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
케이블방송
13 
OTT플랫폼
10 
위성방송
5 
지상파방송
5 
IPTV
4 
Other values (2)
4 

Length

Max length6
Median length5
Mean length4.9268293
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
케이블방송 13
31.7%
OTT플랫폼 10
24.4%
위성방송 5
 
12.2%
지상파방송 5
 
12.2%
IPTV 4
 
9.8%
이동방송 2
 
4.9%
공공장소 2
 
4.9%

Length

2023-12-12T15:32:20.742662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:32:20.892367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
케이블방송 13
31.7%
ott플랫폼 10
24.4%
위성방송 5
 
12.2%
지상파방송 5
 
12.2%
iptv 4
 
9.8%
이동방송 2
 
4.9%
공공장소 2
 
4.9%

플랫폼명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T15:32:21.185561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.4146341
Min length2

Characters and Unicode

Total characters304
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row구글(유튜브)
2nd row한국교육방송공사
3rd row네이버(지식백과)
4th row네이버(TV)
5th row네이버(오디오클립)
ValueCountFrequency (%)
구글(유튜브 1
 
2.3%
한국교육방송공사 1
 
2.3%
불교방송(bbs 1
 
2.3%
서울시교통방송 1
 
2.3%
방송대학tv 1
 
2.3%
ytn 1
 
2.3%
국방tv 1
 
2.3%
불교tv(btn 1
 
2.3%
상생방송 1
 
2.3%
중앙선거관리위원회 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T15:32:21.661991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
방 17
 
5.6%
송 16
 
5.3%
( 15
 
4.9%
T 15
 
4.9%
) 15
 
4.9%
V 11
 
3.6%
국 9
 
3.0%
B 8
 
2.6%
이 6
 
2.0%
S 6
 
2.0%
Other values (113) 186
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
63.2%
Uppercase Letter 65
 
21.4%
Open Punctuation 15
 
4.9%
Close Punctuation 15
 
4.9%
Lowercase Letter 11
 
3.6%
Space Separator 3
 
1.0%
Other Punctuation 2
 
0.7%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 17
 
8.9%
송 16
 
8.3%
국 9
 
4.7%
이 6
 
3.1%
공 5
 
2.6%
스 5
 
2.6%
교 5
 
2.6%
브 4
 
2.1%
네 4
 
2.1%
버 4
 
2.1%
Other values (82) 117
60.9%
Uppercase Letter
ValueCountFrequency (%)
T 15
23.1%
V 11
16.9%
B 8
12.3%
S 6
 
9.2%
K 5
 
7.7%
E 3
 
4.6%
N 2
 
3.1%
Y 2
 
3.1%
R 2
 
3.1%
C 2
 
3.1%
Other values (7) 9
13.8%
Lowercase Letter
ValueCountFrequency (%)
t 3
27.3%
a 2
18.2%
p 1
 
9.1%
s 1
 
9.1%
l 1
 
9.1%
e 1
 
9.1%
u 1
 
9.1%
v 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
63.5%
Latin 76
 
25.0%
Common 35
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 17
 
8.8%
송 16
 
8.3%
국 9
 
4.7%
이 6
 
3.1%
공 5
 
2.6%
스 5
 
2.6%
교 5
 
2.6%
브 4
 
2.1%
네 4
 
2.1%
버 4
 
2.1%
Other values (83) 118
61.1%
Latin
ValueCountFrequency (%)
T 15
19.7%
V 11
14.5%
B 8
10.5%
S 6
 
7.9%
K 5
 
6.6%
E 3
 
3.9%
t 3
 
3.9%
N 2
 
2.6%
Y 2
 
2.6%
R 2
 
2.6%
Other values (15) 19
25.0%
Common
ValueCountFrequency (%)
( 15
42.9%
) 15
42.9%
3
 
8.6%
, 1
 
2.9%
& 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
63.2%
ASCII 111
36.5%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
방 17
 
8.9%
송 16
 
8.3%
국 9
 
4.7%
이 6
 
3.1%
공 5
 
2.6%
스 5
 
2.6%
교 5
 
2.6%
브 4
 
2.1%
네 4
 
2.1%
버 4
 
2.1%
Other values (82) 117
60.9%
ASCII
ValueCountFrequency (%)
( 15
13.5%
T 15
13.5%
) 15
13.5%
V 11
9.9%
B 8
 
7.2%
S 6
 
5.4%
K 5
 
4.5%
E 3
 
2.7%
t 3
 
2.7%
3
 
2.7%
Other values (20) 27
24.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

개시일
Date

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2010-07-02 00:00:00
Maximum2020-11-19 00:00:00
2023-12-12T15:32:21.837212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:21.988067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

제공
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520
Minimum9
Maximum2877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T15:32:22.406851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile30
Q1179
median337
Q3639
95-th percentile1690
Maximum2877
Range2868
Interquartile range (IQR)460

Descriptive statistics

Standard deviation604.95971
Coefficient of variation (CV)1.1633841
Kurtosis6.4149522
Mean520
Median Absolute Deviation (MAD)217
Skewness2.4079985
Sum21320
Variance365976.25
MonotonicityNot monotonic
2023-12-12T15:32:22.555561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
402 2
 
4.9%
1690 1
 
2.4%
1221 1
 
2.4%
454 1
 
2.4%
655 1
 
2.4%
130 1
 
2.4%
83 1
 
2.4%
715 1
 
2.4%
278 1
 
2.4%
356 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
9 1
2.4%
14 1
2.4%
30 1
2.4%
38 1
2.4%
47 1
2.4%
60 1
2.4%
77 1
2.4%
83 1
2.4%
130 1
2.4%
159 1
2.4%
ValueCountFrequency (%)
2877 1
2.4%
2324 1
2.4%
1690 1
2.4%
1310 1
2.4%
1221 1
2.4%
863 1
2.4%
836 1
2.4%
750 1
2.4%
715 1
2.4%
655 1
2.4%

방문자(조회)수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing32
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean4249426.3
Minimum13541
Maximum32243079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T15:32:22.678333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13541
5-th percentile15123
Q147482
median543562
Q31450984
95-th percentile20519786
Maximum32243079
Range32229538
Interquartile range (IQR)1403502

Descriptive statistics

Standard deviation10540847
Coefficient of variation (CV)2.4805341
Kurtosis8.7880119
Mean4249426.3
Median Absolute Deviation (MAD)526066
Skewness2.9540504
Sum38244837
Variance1.1110945 × 1014
MonotonicityNot monotonic
2023-12-12T15:32:22.789882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
32243079 1
 
2.4%
543562 1
 
2.4%
2934846 1
 
2.4%
862542 1
 
2.4%
13541 1
 
2.4%
47482 1
 
2.4%
131305 1
 
2.4%
1450984 1
 
2.4%
17496 1
 
2.4%
(Missing) 32
78.0%
ValueCountFrequency (%)
13541 1
2.4%
17496 1
2.4%
47482 1
2.4%
131305 1
2.4%
543562 1
2.4%
862542 1
2.4%
1450984 1
2.4%
2934846 1
2.4%
32243079 1
2.4%
ValueCountFrequency (%)
32243079 1
2.4%
2934846 1
2.4%
1450984 1
2.4%
862542 1
2.4%
543562 1
2.4%
131305 1
2.4%
47482 1
2.4%
17496 1
2.4%
13541 1
2.4%

서비스현황
Text

Distinct28
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T15:32:23.029613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length19.365854
Min length7

Characters and Unicode

Total characters794
Distinct characters142
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)56.1%

Sample

1st row국·영문 제공
2nd row방송 및 영상제작 소스 제공※서비스종료(EBS클립뱅크)(2020.1.31.)
3rd row웹사이트, 모바일
4th row웹사이트, 모바일
5th row웹사이트, 모바일
ValueCountFrequency (%)
iptv 21
 
15.9%
케이블 18
 
13.6%
위성방송 14
 
10.6%
지상파 5
 
3.8%
웹사이트 4
 
3.0%
모바일 4
 
3.0%
1일 3
 
2.3%
서비스 3
 
2.3%
인터넷 3
 
2.3%
방영 2
 
1.5%
Other values (51) 55
41.7%
2023-12-12T15:32:23.470940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
11.5%
, 54
 
6.8%
V 29
 
3.7%
T 28
 
3.5%
1 26
 
3.3%
I 25
 
3.1%
P 23
 
2.9%
이 22
 
2.8%
방 22
 
2.8%
. 21
 
2.6%
Other values (132) 453
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
47.7%
Uppercase Letter 129
 
16.2%
Space Separator 91
 
11.5%
Other Punctuation 86
 
10.8%
Decimal Number 75
 
9.4%
Close Punctuation 16
 
2.0%
Open Punctuation 16
 
2.0%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 22
 
5.8%
방 22
 
5.8%
송 19
 
5.0%
케 18
 
4.7%
블 18
 
4.7%
위 16
 
4.2%
성 16
 
4.2%
스 14
 
3.7%
서 13
 
3.4%
비 12
 
3.2%
Other values (95) 209
55.1%
Uppercase Letter
ValueCountFrequency (%)
V 29
22.5%
T 28
21.7%
I 25
19.4%
P 23
17.8%
O 4
 
3.1%
D 4
 
3.1%
E 4
 
3.1%
R 2
 
1.6%
X 2
 
1.6%
K 1
 
0.8%
Other values (7) 7
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 26
34.7%
0 14
18.7%
2 10
 
13.3%
3 6
 
8.0%
8 6
 
8.0%
9 4
 
5.3%
7 3
 
4.0%
4 2
 
2.7%
6 2
 
2.7%
5 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 54
62.8%
. 21
 
24.4%
※ 8
 
9.3%
· 1
 
1.2%
' 1
 
1.2%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
47.7%
Common 286
36.0%
Latin 129
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 22
 
5.8%
방 22
 
5.8%
송 19
 
5.0%
케 18
 
4.7%
블 18
 
4.7%
위 16
 
4.2%
성 16
 
4.2%
스 14
 
3.7%
서 13
 
3.4%
비 12
 
3.2%
Other values (95) 209
55.1%
Common
ValueCountFrequency (%)
91
31.8%
, 54
18.9%
1 26
 
9.1%
. 21
 
7.3%
) 16
 
5.6%
( 16
 
5.6%
0 14
 
4.9%
2 10
 
3.5%
※ 8
 
2.8%
3 6
 
2.1%
Other values (10) 24
 
8.4%
Latin
ValueCountFrequency (%)
V 29
22.5%
T 28
21.7%
I 25
19.4%
P 23
17.8%
O 4
 
3.1%
D 4
 
3.1%
E 4
 
3.1%
R 2
 
1.6%
X 2
 
1.6%
K 1
 
0.8%
Other values (7) 7
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 406
51.1%
Hangul 379
47.7%
Punctuation 8
 
1.0%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
22.4%
, 54
13.3%
V 29
 
7.1%
T 28
 
6.9%
1 26
 
6.4%
I 25
 
6.2%
P 23
 
5.7%
. 21
 
5.2%
) 16
 
3.9%
( 16
 
3.9%
Other values (25) 77
19.0%
Hangul
ValueCountFrequency (%)
이 22
 
5.8%
방 22
 
5.8%
송 19
 
5.0%
케 18
 
4.7%
블 18
 
4.7%
위 16
 
4.2%
성 16
 
4.2%
스 14
 
3.7%
서 13
 
3.4%
비 12
 
3.2%
Other values (95) 209
55.1%
Punctuation
ValueCountFrequency (%)
※ 8
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2023-12-12T15:32:20.179457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:19.948106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:20.292141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:20.048084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:32:23.594892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분플랫폼명개시일제공방문자(조회)수서비스현황
구분1.0001.0000.9080.0000.0001.000
플랫폼명1.0001.0001.0001.0001.0001.000
개시일0.9081.0001.0000.9441.0000.920
제공0.0001.0000.9441.0001.0000.898
방문자(조회)수0.0001.0001.0001.0001.0001.000
서비스현황1.0001.0000.9200.8981.0001.000
2023-12-12T15:32:23.716734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제공방문자(조회)수구분
제공1.0000.4670.000
방문자(조회)수0.4671.0000.000
구분0.0000.0001.000

Missing values

2023-12-12T15:32:20.459634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:32:20.592335image/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

구분플랫폼명개시일제공방문자(조회)수서비스현황
0OTT플랫폼구글(유튜브)2010-07-02169032243079국·영문 제공
1OTT플랫폼한국교육방송공사2012-09-01400543562방송 및 영상제작 소스 제공※서비스종료(EBS클립뱅크)(2020.1.31.)
2OTT플랫폼네이버(지식백과)2012-09-073212934846웹사이트, 모바일
3OTT플랫폼네이버(TV)2013-05-041310862542웹사이트, 모바일
4OTT플랫폼네이버(오디오클립)2019-04-013013541웹사이트, 모바일
5OTT플랫폼(주)LG유플러스(비디오포털)2015-04-2317947482모바일앱(비디오포털)※서비스종료(2019.3.21.)
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