Overview

Dataset statistics

Number of variables2
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory19.0 B

Variable types

Text1
Numeric1

Dataset

Description강원도 원주시청 홈페이지에 등록된 시청홍보영상(ex-미리 만나보는 소금산 케이블카 탑승장)과 해당 영상 조회수에 대한 자료를 제공합니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/15090937/fileData.do

Reproduction

Analysis started2024-04-20 22:39:07.403222
Analysis finished2024-04-20 22:39:08.230669
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size640.0 B
2024-04-21T07:39:09.290418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length22
Mean length15.921875
Min length4

Characters and Unicode

Total characters1019
Distinct characters251
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)96.9%

Sample

1st row원주 관광 홍보 웹드라마 ‘러브 인 블랙홀’ 설렘 폭발 티저 영상 공개
2nd row미리 만나보는 소금산 케이블카 탑승장
3rd row2021 원주의 미래를 디자인하다
4th row2021년 신년 정례브리핑（시정방향）
5th row2021년 신년 정례브리핑
ValueCountFrequency (%)
원주 12
 
5.5%
원주시 11
 
5.1%
홍보동영상 5
 
2.3%
홍보 5
 
2.3%
관광 4
 
1.8%
홍보영상(ver 4
 
1.8%
2014 4
 
1.8%
도시 3
 
1.4%
원주시민 3
 
1.4%
영상 3
 
1.4%
Other values (149) 163
75.1%
2024-04-21T07:39:10.934843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
15.1%
원 48
 
4.7%
주 45
 
4.4%
시 33
 
3.2%
1 27
 
2.6%
2 22
 
2.2%
0 22
 
2.2%
보 20
 
2.0%
상 20
 
2.0%
영 19
 
1.9%
Other values (241) 609
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 691
67.8%
Space Separator 154
 
15.1%
Decimal Number 94
 
9.2%
Other Punctuation 19
 
1.9%
Lowercase Letter 19
 
1.9%
Close Punctuation 14
 
1.4%
Open Punctuation 14
 
1.4%
Uppercase Letter 10
 
1.0%
Initial Punctuation 1
 
0.1%
Connector Punctuation 1
 
0.1%
Other values (2) 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 48
 
6.9%
주 45
 
6.5%
시 33
 
4.8%
보 20
 
2.9%
상 20
 
2.9%
영 19
 
2.7%
홍 17
 
2.5%
기 16
 
2.3%
이 13
 
1.9%
도 13
 
1.9%
Other values (199) 447
64.7%
Decimal Number
ValueCountFrequency (%)
1 27
28.7%
2 22
23.4%
0 22
23.4%
4 5
 
5.3%
7 4
 
4.3%
6 3
 
3.2%
8 3
 
3.2%
3 3
 
3.2%
9 3
 
3.2%
5 2
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
26.3%
r 4
21.1%
v 4
21.1%
h 1
 
5.3%
s 1
 
5.3%
i 1
 
5.3%
l 1
 
5.3%
g 1
 
5.3%
n 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
V 2
20.0%
T 2
20.0%
C 2
20.0%
U 1
10.0%
F 1
10.0%
R 1
10.0%
S 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 8
42.1%
, 6
31.6%
? 3
 
15.8%
! 1
 
5.3%
# 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 11
78.6%
） 2
 
14.3%
] 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 11
78.6%
（ 2
 
14.3%
[ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
154
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 686
67.3%
Common 299
29.3%
Latin 29
 
2.8%
Han 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 48
 
7.0%
주 45
 
6.6%
시 33
 
4.8%
보 20
 
2.9%
상 20
 
2.9%
영 19
 
2.8%
홍 17
 
2.5%
기 16
 
2.3%
이 13
 
1.9%
도 13
 
1.9%
Other values (194) 442
64.4%
Common
ValueCountFrequency (%)
154
51.5%
1 27
 
9.0%
2 22
 
7.4%
0 22
 
7.4%
) 11
 
3.7%
( 11
 
3.7%
. 8
 
2.7%
, 6
 
2.0%
4 5
 
1.7%
7 4
 
1.3%
Other values (16) 29
 
9.7%
Latin
ValueCountFrequency (%)
e 5
17.2%
r 4
13.8%
v 4
13.8%
V 2
 
6.9%
T 2
 
6.9%
C 2
 
6.9%
h 1
 
3.4%
s 1
 
3.4%
i 1
 
3.4%
l 1
 
3.4%
Other values (6) 6
20.7%
Han
ValueCountFrequency (%)
語 1
20.0%
本 1
20.0%
日 1
20.0%
文 1
20.0%
中 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 686
67.3%
ASCII 322
31.6%
CJK 5
 
0.5%
None 4
 
0.4%
Punctuation 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
47.8%
1 27
 
8.4%
2 22
 
6.8%
0 22
 
6.8%
) 11
 
3.4%
( 11
 
3.4%
. 8
 
2.5%
, 6
 
1.9%
e 5
 
1.6%
4 5
 
1.6%
Other values (28) 51
 
15.8%
Hangul
ValueCountFrequency (%)
원 48
 
7.0%
주 45
 
6.6%
시 33
 
4.8%
보 20
 
2.9%
상 20
 
2.9%
영 19
 
2.8%
홍 17
 
2.5%
기 16
 
2.3%
이 13
 
1.9%
도 13
 
1.9%
Other values (194) 442
64.4%
None
ValueCountFrequency (%)
（ 2
50.0%
） 2
50.0%
CJK
ValueCountFrequency (%)
語 1
20.0%
本 1
20.0%
日 1
20.0%
文 1
20.0%
中 1
20.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

조회수
Real number (ℝ)

Distinct60
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean998.15625
Minimum3
Maximum6962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size704.0 B
2024-04-21T07:39:11.335953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.45
Q151.75
median229.5
Q31079.25
95-th percentile5200.35
Maximum6962
Range6959
Interquartile range (IQR)1027.5

Descriptive statistics

Standard deviation1699.7215
Coefficient of variation (CV)1.7028612
Kurtosis4.4347485
Mean998.15625
Median Absolute Deviation (MAD)201
Skewness2.2347883
Sum63882
Variance2889053.3
MonotonicityNot monotonic
2024-04-21T07:39:11.770955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
3.1%
33 2
 
3.1%
19 2
 
3.1%
35 2
 
3.1%
649 1
 
1.6%
1188 1
 
1.6%
986 1
 
1.6%
665 1
 
1.6%
684 1
 
1.6%
1110 1
 
1.6%
Other values (50) 50
78.1%
ValueCountFrequency (%)
3 2
3.1%
5 1
1.6%
6 1
1.6%
9 1
1.6%
13 1
1.6%
19 2
3.1%
20 1
1.6%
24 1
1.6%
33 2
3.1%
35 2
3.1%
ValueCountFrequency (%)
6962 1
1.6%
6878 1
1.6%
5805 1
1.6%
5304 1
1.6%
4613 1
1.6%
3353 1
1.6%
2957 1
1.6%
2908 1
1.6%
2842 1
1.6%
2729 1
1.6%

Interactions

2024-04-21T07:39:07.608799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T07:39:12.033897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목조회수
제목1.0001.000
조회수1.0001.000

Missing values

2024-04-21T07:39:07.943062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T07:39:08.149845image/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

제목조회수
0원주 관광 홍보 웹드라마 ‘러브 인 블랙홀’ 설렘 폭발 티저 영상 공개3
1미리 만나보는 소금산 케이블카 탑승장5
22021 원주의 미래를 디자인하다289
32021년 신년 정례브리핑（시정방향）261
42021년 신년 정례브리핑54
5（구）원주역 미니다큐 영상6
6원주가 좋은 이유???86
72019년 추석 인사51
8민선7기 1주년 기념영상166
9더(#) 깨끗한 원주 만들기47
제목조회수
54원주시 홍보영상(ver. 日本語)2495
55원주시 홍보영상(ver. english)2729
56원주시 홍보영상(ver. 한국어)5304
57환경자원사업소6962
58원주시민 건강체조5805
59원주의료기기테크노밸리 홍보동영상4613
60첨단의료복합단지 최적도시 원주6878
61상하수도사업본부2842
62기업도시 홍보동영상2908
63건강도시 홍보동영상3353