Overview

Dataset statistics

Number of variables14
Number of observations70
Missing cells426
Missing cells (%)43.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory116.9 B

Variable types

Text10
Numeric3
Categorical1

Dataset

Description경상남도 사천시 문화관광홈페이지 추천여행 테이블의 제목, 내용, 조회수, 등록일, 거리, 소유시간 등을 영어로 표기한 파일데이터 입니다.
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15084214

Alerts

팁 has constant value ""Constant
팁 has 69 (98.6%) missing valuesMissing
거리 has 17 (24.3%) missing valuesMissing
소요 시간 has 17 (24.3%) missing valuesMissing
부제목 has 62 (88.6%) missing valuesMissing
비고1 has 65 (92.9%) missing valuesMissing
비고2 has 65 (92.9%) missing valuesMissing
비고3 has 65 (92.9%) missing valuesMissing
비고4 has 66 (94.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:51:33.705744
Analysis finished2023-12-10 23:51:35.543876
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct57
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-11T08:51:35.747544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length25
Mean length18.042857
Min length6

Characters and Unicode

Total characters1263
Distinct characters58
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)64.3%

Sample

1st rowYongdu Park
2nd rowSamcheonpo Fish Market
3rd rowDaebangjin Milirary Port
4th rowSamcheonpo bridge Park
5th rowSilannakjo coastal road (Sunset)
ValueCountFrequency (%)
park 10
 
5.9%
bridge 10
 
5.9%
sacheon 8
 
4.7%
samcheonpo 8
 
4.7%
village 7
 
4.1%
island 5
 
3.0%
road 5
 
3.0%
namildae 4
 
2.4%
fort 4
 
2.4%
forest 3
 
1.8%
Other values (76) 105
62.1%
2023-12-11T08:51:36.143821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 118
 
9.3%
e 110
 
8.7%
o 105
 
8.3%
99
 
7.8%
n 94
 
7.4%
r 65
 
5.1%
i 62
 
4.9%
g 54
 
4.3%
l 45
 
3.6%
h 44
 
3.5%
Other values (48) 467
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 973
77.0%
Uppercase Letter 147
 
11.6%
Space Separator 99
 
7.8%
Other Letter 10
 
0.8%
Close Punctuation 8
 
0.6%
Open Punctuation 8
 
0.6%
Decimal Number 8
 
0.6%
Dash Punctuation 6
 
0.5%
Other Punctuation 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 118
12.1%
e 110
11.3%
o 105
10.8%
n 94
 
9.7%
r 65
 
6.7%
i 62
 
6.4%
g 54
 
5.5%
l 45
 
4.6%
h 44
 
4.5%
t 39
 
4.0%
Other values (14) 237
24.4%
Uppercase Letter
ValueCountFrequency (%)
S 35
23.8%
B 13
 
8.8%
M 13
 
8.8%
P 12
 
8.2%
N 10
 
6.8%
F 9
 
6.1%
C 8
 
5.4%
R 7
 
4.8%
V 7
 
4.8%
D 6
 
4.1%
Other values (9) 27
18.4%
Other Letter
ValueCountFrequency (%)
길 2
20.0%
목 2
20.0%
골 2
20.0%
화 2
20.0%
벽 2
20.0%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
8 2
25.0%
7 2
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
? 1
25.0%
· 1
25.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1120
88.7%
Common 133
 
10.5%
Hangul 10
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 118
 
10.5%
e 110
 
9.8%
o 105
 
9.4%
n 94
 
8.4%
r 65
 
5.8%
i 62
 
5.5%
g 54
 
4.8%
l 45
 
4.0%
h 44
 
3.9%
t 39
 
3.5%
Other values (33) 384
34.3%
Common
ValueCountFrequency (%)
99
74.4%
) 8
 
6.0%
( 8
 
6.0%
- 6
 
4.5%
0 4
 
3.0%
. 2
 
1.5%
8 2
 
1.5%
7 2
 
1.5%
? 1
 
0.8%
· 1
 
0.8%
Hangul
ValueCountFrequency (%)
길 2
20.0%
목 2
20.0%
골 2
20.0%
화 2
20.0%
벽 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1252
99.1%
Hangul 10
 
0.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 118
 
9.4%
e 110
 
8.8%
o 105
 
8.4%
99
 
7.9%
n 94
 
7.5%
r 65
 
5.2%
i 62
 
5.0%
g 54
 
4.3%
l 45
 
3.6%
h 44
 
3.5%
Other values (42) 456
36.4%
Hangul
ValueCountFrequency (%)
길 2
20.0%
목 2
20.0%
골 2
20.0%
화 2
20.0%
벽 2
20.0%
None
ValueCountFrequency (%)
· 1
100.0%

내용
Text

Distinct65
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-11T08:51:36.440635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length712
Median length387
Mean length403.58571
Min length128

Characters and Unicode

Total characters28251
Distinct characters170
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

Unique60 ?
Unique (%)85.7%

Sample

1st rowEco-friendly park at the foot of Waryong Reservoir. Yongdu Park!Yongdu Park is a park for relaxation, where hikers and citizens can take a good rest. Hinoki cypress trees, forest bathing area, grass square, exercise area, trail, and etc satisfy the health needs of the hikers and citizens, establishing as the perfect place for rest and leisure.
2nd rowA loaf of bread is better than the song of many birds. Fresh sashimi is a must-eat for the Sacheon tourists!Samcheonpo Fish Market is another name for Samcheonpo Western Market. At this market, like any other traditional markets, various vegetables and fruits from the regional farms, and live fish, shellfish, and dried fish can be purchased.
3rd rowA painting on the calm surface of water!Daebangjin Port is an artificial port system built to protect the coast from Japanese pirates. It was a military base designed in a way that the inside of the port was not visible from the outside. The dark shadow of old hackberry trees over the turquoise water features landscape painting scenery.
4th rowLocated at the entrance of ChangseonSamcheonpo bridge, Samcheonpo bridge Park runs regional specialty shops, outdoor stage, and tourist information center. This is where the marina for The Hallyeo waterway (name of a supersize cruise ship) is, which enables 100,000 tourists to visit per year.
5th rowThe view of the seashore, blue waves, and coastlines is spectacular on Silannakjo coastal road, especially with the sunset glow.
ValueCountFrequency (%)
the 308
 
6.5%
of 168
 
3.6%
and 148
 
3.1%
a 118
 
2.5%
is 100
 
2.1%
in 94
 
2.0%
to 71
 
1.5%
you 64
 
1.4%
as 49
 
1.0%
for 44
 
0.9%
Other values (1226) 3566
75.4%
2023-12-11T08:51:36.904420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4662
16.5%
e 2596
 
9.2%
a 2118
 
7.5%
o 1818
 
6.4%
t 1713
 
6.1%
n 1640
 
5.8%
s 1569
 
5.6%
i 1459
 
5.2%
r 1343
 
4.8%
l 983
 
3.5%
Other values (160) 8350
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21644
76.6%
Space Separator 4662
 
16.5%
Uppercase Letter 968
 
3.4%
Other Punctuation 525
 
1.9%
Other Letter 219
 
0.8%
Decimal Number 116
 
0.4%
Dash Punctuation 70
 
0.2%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
4.1%
을 9
 
4.1%
하 7
 
3.2%
다 5
 
2.3%
억 5
 
2.3%
추 5
 
2.3%
는 5
 
2.3%
고 4
 
1.8%
어 4
 
1.8%
시 4
 
1.8%
Other values (90) 162
74.0%
Lowercase Letter
ValueCountFrequency (%)
e 2596
12.0%
a 2118
 
9.8%
o 1818
 
8.4%
t 1713
 
7.9%
n 1640
 
7.6%
s 1569
 
7.2%
i 1459
 
6.7%
r 1343
 
6.2%
l 983
 
4.5%
h 971
 
4.5%
Other values (16) 5434
25.1%
Uppercase Letter
ValueCountFrequency (%)
S 175
18.1%
T 92
 
9.5%
I 78
 
8.1%
M 55
 
5.7%
B 53
 
5.5%
P 49
 
5.1%
C 46
 
4.8%
Y 42
 
4.3%
F 41
 
4.2%
R 40
 
4.1%
Other values (13) 297
30.7%
Decimal Number
ValueCountFrequency (%)
0 40
34.5%
1 18
15.5%
2 15
 
12.9%
5 10
 
8.6%
9 7
 
6.0%
7 7
 
6.0%
3 6
 
5.2%
8 6
 
5.2%
6 5
 
4.3%
4 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 272
51.8%
, 213
40.6%
! 26
 
5.0%
/ 10
 
1.9%
; 2
 
0.4%
: 2
 
0.4%
Space Separator
ValueCountFrequency (%)
4662
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22612
80.0%
Common 5420
 
19.2%
Hangul 219
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
 
4.1%
을 9
 
4.1%
하 7
 
3.2%
다 5
 
2.3%
억 5
 
2.3%
추 5
 
2.3%
는 5
 
2.3%
고 4
 
1.8%
어 4
 
1.8%
시 4
 
1.8%
Other values (90) 162
74.0%
Latin
ValueCountFrequency (%)
e 2596
11.5%
a 2118
 
9.4%
o 1818
 
8.0%
t 1713
 
7.6%
n 1640
 
7.3%
s 1569
 
6.9%
i 1459
 
6.5%
r 1343
 
5.9%
l 983
 
4.3%
h 971
 
4.3%
Other values (39) 6402
28.3%
Common
ValueCountFrequency (%)
4662
86.0%
. 272
 
5.0%
, 213
 
3.9%
- 70
 
1.3%
0 40
 
0.7%
! 26
 
0.5%
) 23
 
0.4%
( 23
 
0.4%
1 18
 
0.3%
2 15
 
0.3%
Other values (11) 58
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28032
99.2%
Hangul 219
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4662
16.6%
e 2596
 
9.3%
a 2118
 
7.6%
o 1818
 
6.5%
t 1713
 
6.1%
n 1640
 
5.9%
s 1569
 
5.6%
i 1459
 
5.2%
r 1343
 
4.8%
l 983
 
3.5%
Other values (60) 8131
29.0%
Hangul
ValueCountFrequency (%)
이 9
 
4.1%
을 9
 
4.1%
하 7
 
3.2%
다 5
 
2.3%
억 5
 
2.3%
추 5
 
2.3%
는 5
 
2.3%
고 4
 
1.8%
어 4
 
1.8%
시 4
 
1.8%
Other values (90) 162
74.0%

조회수
Real number (ℝ)

Distinct30
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.1
Minimum4
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T08:51:37.037335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14.45
Q117.25
median22
Q328.5
95-th percentile55.3
Maximum191
Range187
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation23.43177
Coefficient of variation (CV)0.8338708
Kurtosis34.205908
Mean28.1
Median Absolute Deviation (MAD)5
Skewness5.1765888
Sum1967
Variance549.04783
MonotonicityNot monotonic
2023-12-11T08:51:37.202487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20 10
 
14.3%
16 6
 
8.6%
22 5
 
7.1%
27 5
 
7.1%
17 5
 
7.1%
15 3
 
4.3%
26 3
 
4.3%
29 2
 
2.9%
14 2
 
2.9%
18 2
 
2.9%
Other values (20) 27
38.6%
ValueCountFrequency (%)
4 1
 
1.4%
11 1
 
1.4%
14 2
 
2.9%
15 3
 
4.3%
16 6
8.6%
17 5
7.1%
18 2
 
2.9%
19 2
 
2.9%
20 10
14.3%
21 2
 
2.9%
ValueCountFrequency (%)
191 1
1.4%
73 1
1.4%
60 1
1.4%
58 1
1.4%
52 1
1.4%
51 1
1.4%
48 1
1.4%
46 1
1.4%
44 2
2.9%
42 1
1.4%

등록일
Categorical

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
2013-05-07
30 
2013-05-30
23 
2013-06-13
8 
2013-06-10
7 
2013-05-10
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013-05-07
2nd row2013-05-07
3rd row2013-05-07
4th row2013-05-07
5th row2013-05-07

Common Values

ValueCountFrequency (%)
2013-05-07 30
42.9%
2013-05-30 23
32.9%
2013-06-13 8
 
11.4%
2013-06-10 7
 
10.0%
2013-05-10 2
 
2.9%

Length

2023-12-11T08:51:37.356572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:37.457415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013-05-07 30
42.9%
2013-05-30 23
32.9%
2013-06-13 8
 
11.4%
2013-06-10 7
 
10.0%
2013-05-10 2
 
2.9%

팁
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing69
Missing (%)98.6%
Memory size692.0 B
2023-12-11T08:51:37.646533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length49
Mean length49
Min length49

Characters and Unicode

Total characters49
Distinct characters19
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowAlso famous for annual royal azalea hikes in May.
ValueCountFrequency (%)
also 1
11.1%
famous 1
11.1%
for 1
11.1%
annual 1
11.1%
royal 1
11.1%
azalea 1
11.1%
hikes 1
11.1%
in 1
11.1%
may 1
11.1%
2023-12-11T08:51:37.952471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
16.3%
a 8
16.3%
o 4
 
8.2%
l 4
 
8.2%
s 3
 
6.1%
n 3
 
6.1%
r 2
 
4.1%
i 2
 
4.1%
f 2
 
4.1%
u 2
 
4.1%
Other values (9) 11
22.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38
77.6%
Space Separator 8
 
16.3%
Uppercase Letter 2
 
4.1%
Other Punctuation 1
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 8
21.1%
o 4
10.5%
l 4
10.5%
s 3
 
7.9%
n 3
 
7.9%
r 2
 
5.3%
i 2
 
5.3%
f 2
 
5.3%
u 2
 
5.3%
y 2
 
5.3%
Other values (5) 6
15.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40
81.6%
Common 9
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 8
20.0%
o 4
10.0%
l 4
10.0%
s 3
 
7.5%
n 3
 
7.5%
r 2
 
5.0%
i 2
 
5.0%
f 2
 
5.0%
u 2
 
5.0%
y 2
 
5.0%
Other values (7) 8
20.0%
Common
ValueCountFrequency (%)
8
88.9%
. 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
16.3%
a 8
16.3%
o 4
 
8.2%
l 4
 
8.2%
s 3
 
6.1%
n 3
 
6.1%
r 2
 
4.1%
i 2
 
4.1%
f 2
 
4.1%
u 2
 
4.1%
Other values (9) 11
22.4%

거리
Text

MISSING 

Distinct50
Distinct (%)94.3%
Missing17
Missing (%)24.3%
Memory size692.0 B
2023-12-11T08:51:38.171487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.5283019
Min length4

Characters and Unicode

Total characters346
Distinct characters14
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

Unique48 ?
Unique (%)90.6%

Sample

1st row 4.21km
2nd row 1.93km
3rd row 876m
4th row 1.26km
5th row 927m
ValueCountFrequency (%)
876m 3
 
5.7%
927m 2
 
3.8%
2.08km 1
 
1.9%
0.4km 1
 
1.9%
4.21km 1
 
1.9%
940m 1
 
1.9%
841m 1
 
1.9%
767m 1
 
1.9%
2.61km 1
 
1.9%
767km 1
 
1.9%
Other values (40) 40
75.5%
2023-12-11T08:51:38.525820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 53
15.3%
51
14.7%
k 43
12.4%
. 41
11.8%
1 24
6.9%
4 21
 
6.1%
8 17
 
4.9%
7 17
 
4.9%
6 16
 
4.6%
3 16
 
4.6%
Other values (4) 47
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
45.7%
Lowercase Letter 96
27.7%
Space Separator 51
 
14.7%
Other Punctuation 41
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
15.2%
4 21
13.3%
8 17
10.8%
7 17
10.8%
6 16
10.1%
3 16
10.1%
2 15
9.5%
9 13
8.2%
5 10
6.3%
0 9
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
m 53
55.2%
k 43
44.8%
Space Separator
ValueCountFrequency (%)
51
100.0%
Other Punctuation
ValueCountFrequency (%)
. 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
72.3%
Latin 96
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
51
20.4%
. 41
16.4%
1 24
9.6%
4 21
8.4%
8 17
 
6.8%
7 17
 
6.8%
6 16
 
6.4%
3 16
 
6.4%
2 15
 
6.0%
9 13
 
5.2%
Other values (2) 19
 
7.6%
Latin
ValueCountFrequency (%)
m 53
55.2%
k 43
44.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 53
15.3%
51
14.7%
k 43
12.4%
. 41
11.8%
1 24
6.9%
4 21
 
6.1%
8 17
 
4.9%
7 17
 
4.9%
6 16
 
4.6%
3 16
 
4.6%
Other values (4) 47
13.6%

소요 시간
Text

MISSING 

Distinct31
Distinct (%)58.5%
Missing17
Missing (%)24.3%
Memory size692.0 B
2023-12-11T08:51:38.711857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length9.5283019
Min length2

Characters and Unicode

Total characters505
Distinct characters23
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)34.0%

Sample

1st row11 minutes
2nd row5 minutes
3rd row2 minutes
4th row2 minutes
5th row6 minutes
ValueCountFrequency (%)
minutes 50
47.2%
2 8
 
7.5%
7 4
 
3.8%
6 4
 
3.8%
4 4
 
3.8%
3 3
 
2.8%
15 3
 
2.8%
10 3
 
2.8%
5 3
 
2.8%
1 3
 
2.8%
Other values (16) 21
19.8%
2023-12-11T08:51:39.014419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
12.3%
u 52
10.3%
t 52
10.3%
e 52
10.3%
i 51
10.1%
m 50
9.9%
n 50
9.9%
s 50
9.9%
1 21
 
4.2%
2 15
 
3.0%
Other values (13) 50
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 368
72.9%
Decimal Number 73
 
14.5%
Space Separator 62
 
12.3%
Uppercase Letter 1
 
0.2%
Other Letter 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 52
14.1%
t 52
14.1%
e 52
14.1%
i 51
13.9%
m 50
13.6%
n 50
13.6%
s 50
13.6%
h 4
 
1.1%
r 4
 
1.1%
o 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 21
28.8%
2 15
20.5%
4 9
12.3%
5 7
 
9.6%
0 6
 
8.2%
6 5
 
6.8%
3 4
 
5.5%
7 4
 
5.5%
8 2
 
2.7%
Space Separator
ValueCountFrequency (%)
62
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Other Letter
ValueCountFrequency (%)
분 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 369
73.1%
Common 135
 
26.7%
Hangul 1
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 52
14.1%
t 52
14.1%
e 52
14.1%
i 51
13.8%
m 50
13.6%
n 50
13.6%
s 50
13.6%
h 4
 
1.1%
r 4
 
1.1%
o 2
 
0.5%
Other values (2) 2
 
0.5%
Common
ValueCountFrequency (%)
62
45.9%
1 21
 
15.6%
2 15
 
11.1%
4 9
 
6.7%
5 7
 
5.2%
0 6
 
4.4%
6 5
 
3.7%
3 4
 
3.0%
7 4
 
3.0%
8 2
 
1.5%
Hangul
ValueCountFrequency (%)
분 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
12.3%
u 52
10.3%
t 52
10.3%
e 52
10.3%
i 51
10.1%
m 50
9.9%
n 50
9.9%
s 50
9.9%
1 21
 
4.2%
2 15
 
3.0%
Other values (12) 49
9.7%
Hangul
ValueCountFrequency (%)
분 1
100.0%

부제목
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing62
Missing (%)88.6%
Memory size692.0 B
2023-12-11T08:51:39.422680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length341
Median length236
Mean length231.875
Min length95

Characters and Unicode

Total characters1855
Distinct characters112
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowFirst, enjoy the peace at the foot of Mt. Waryong, second, taste the fresh seafood at the fish market, and lastly, head to Samcheonpo great Bridge for scenery. Marvelous feature of Samcheonpo bridge and the clear view of the sea welcome you.
2nd rowCome to Shinsu Island, and the beautiful sea is all yours! Get started with Namildae’s extraordinary scenery, and then appreciate the nature’s fine beauty at one of ‘Korea’s 10 best treasure islands’, Sinsu Island.
3rd rowHow about a trip to High-Tech Aerospace Science Museum for developing dreams and imaginative powers of children? Splendid view of Sacheon Bay’s coastal roads awaits you, too. Officially opened to the public from this year.
4th rowAfter you heal yourself from beautiful woods and valley, you can enjoy fresh live fish sashimi while viewing the sea in Samcheonpo fishing trip. You will feel energized and refreshed after having some fresh sashimi, and driving a long stretch of coastal road.
5th row우리나라를 대표하는 사찰 중 한 곳인 다솔사! 유구한 역사를 가진 다솔사의 고즈넉한 산사에서 과거로의 여행에 젖어보고 사천 녹차 단지에 들러 녹차향을 즐겨보시기 바랍니다.
ValueCountFrequency (%)
the 18
 
5.7%
and 13
 
4.1%
of 13
 
4.1%
you 7
 
2.2%
in 6
 
1.9%
a 6
 
1.9%
to 6
 
1.9%
island 5
 
1.6%
beauty 4
 
1.3%
at 4
 
1.3%
Other values (190) 235
74.1%
2023-12-11T08:51:39.957796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
313
16.9%
e 159
 
8.6%
a 143
 
7.7%
o 113
 
6.1%
t 105
 
5.7%
n 94
 
5.1%
s 92
 
5.0%
i 90
 
4.9%
r 73
 
3.9%
l 66
 
3.6%
Other values (102) 607
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1354
73.0%
Space Separator 313
 
16.9%
Other Letter 71
 
3.8%
Uppercase Letter 61
 
3.3%
Other Punctuation 40
 
2.2%
Final Punctuation 8
 
0.4%
Initial Punctuation 3
 
0.2%
Decimal Number 2
 
0.1%
Open Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 6
 
8.5%
에 3
 
4.2%
다 3
 
4.2%
한 3
 
4.2%
를 2
 
2.8%
솔 2
 
2.8%
차 2
 
2.8%
의 2
 
2.8%
고 2
 
2.8%
녹 2
 
2.8%
Other values (43) 44
62.0%
Lowercase Letter
ValueCountFrequency (%)
e 159
11.7%
a 143
 
10.6%
o 113
 
8.3%
t 105
 
7.8%
n 94
 
6.9%
s 92
 
6.8%
i 90
 
6.6%
r 73
 
5.4%
l 66
 
4.9%
h 59
 
4.4%
Other values (15) 360
26.6%
Uppercase Letter
ValueCountFrequency (%)
S 11
18.0%
M 9
14.8%
I 5
 
8.2%
F 4
 
6.6%
W 3
 
4.9%
H 3
 
4.9%
P 3
 
4.9%
B 3
 
4.9%
R 2
 
3.3%
J 2
 
3.3%
Other values (10) 16
26.2%
Other Punctuation
ValueCountFrequency (%)
. 19
47.5%
, 17
42.5%
! 2
 
5.0%
? 2
 
5.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
87.5%
” 1
 
12.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
66.7%
“ 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1415
76.3%
Common 369
 
19.9%
Hangul 71
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 6
 
8.5%
에 3
 
4.2%
다 3
 
4.2%
한 3
 
4.2%
를 2
 
2.8%
솔 2
 
2.8%
차 2
 
2.8%
의 2
 
2.8%
고 2
 
2.8%
녹 2
 
2.8%
Other values (43) 44
62.0%
Latin
ValueCountFrequency (%)
e 159
 
11.2%
a 143
 
10.1%
o 113
 
8.0%
t 105
 
7.4%
n 94
 
6.6%
s 92
 
6.5%
i 90
 
6.4%
r 73
 
5.2%
l 66
 
4.7%
h 59
 
4.2%
Other values (35) 421
29.8%
Common
ValueCountFrequency (%)
313
84.8%
. 19
 
5.1%
, 17
 
4.6%
’ 7
 
1.9%
‘ 2
 
0.5%
! 2
 
0.5%
? 2
 
0.5%
( 1
 
0.3%
” 1
 
0.3%
“ 1
 
0.3%
Other values (4) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1773
95.6%
Hangul 71
 
3.8%
Punctuation 11
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
313
17.7%
e 159
 
9.0%
a 143
 
8.1%
o 113
 
6.4%
t 105
 
5.9%
n 94
 
5.3%
s 92
 
5.2%
i 90
 
5.1%
r 73
 
4.1%
l 66
 
3.7%
Other values (45) 525
29.6%
Punctuation
ValueCountFrequency (%)
’ 7
63.6%
‘ 2
 
18.2%
” 1
 
9.1%
“ 1
 
9.1%
Hangul
ValueCountFrequency (%)
사 6
 
8.5%
에 3
 
4.2%
다 3
 
4.2%
한 3
 
4.2%
를 2
 
2.8%
솔 2
 
2.8%
차 2
 
2.8%
의 2
 
2.8%
고 2
 
2.8%
녹 2
 
2.8%
Other values (43) 44
62.0%

위도
Real number (ℝ)

Distinct48
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.982438
Minimum34.903482
Maximum35.145915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T08:51:40.148407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.903482
5-th percentile34.924708
Q134.935453
median34.971018
Q335.012316
95-th percentile35.078926
Maximum35.145915
Range0.2424335
Interquartile range (IQR)0.07686295

Descriptive statistics

Standard deviation0.055394697
Coefficient of variation (CV)0.0015835002
Kurtosis0.4011575
Mean34.982438
Median Absolute Deviation (MAD)0.035565
Skewness0.99496082
Sum2448.7706
Variance0.0030685725
MonotonicityNot monotonic
2023-12-11T08:51:40.288912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
34.9354532 4
 
5.7%
34.9676588 4
 
5.7%
34.9720833 3
 
4.3%
34.9278685 3
 
4.3%
34.9576858 2
 
2.9%
34.9247078 2
 
2.9%
34.93936509 2
 
2.9%
35.0441271 2
 
2.9%
35.0150291 2
 
2.9%
34.9745377 2
 
2.9%
Other values (38) 44
62.9%
ValueCountFrequency (%)
34.9034816 1
 
1.4%
34.9227084 1
 
1.4%
34.9240957 1
 
1.4%
34.9247078 2
2.9%
34.9270957 2
2.9%
34.9278685 3
4.3%
34.9290453 2
2.9%
34.9311055 1
 
1.4%
34.9324694 2
2.9%
34.9338156 1
 
1.4%
ValueCountFrequency (%)
35.1459151 1
1.4%
35.1388642 1
1.4%
35.083073 1
1.4%
35.0827782 1
1.4%
35.0742179 1
1.4%
35.0705208 1
1.4%
35.0643651 1
1.4%
35.0639482 1
1.4%
35.0575111 1
1.4%
35.0574989 1
1.4%

경도
Real number (ℝ)

Distinct50
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.05073
Minimum127.92653
Maximum128.13362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T08:51:40.474076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.92653
5-th percentile127.96834
Q1128.04034
median128.05213
Q3128.07793
95-th percentile128.12525
Maximum128.13362
Range0.2070934
Interquartile range (IQR)0.03758425

Descriptive statistics

Standard deviation0.045282323
Coefficient of variation (CV)0.00035362799
Kurtosis0.18349282
Mean128.05073
Median Absolute Deviation (MAD)0.0223027
Skewness-0.4521415
Sum8963.5513
Variance0.0020504888
MonotonicityNot monotonic
2023-12-11T08:51:40.635669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.0580119 4
 
5.7%
128.0485939 4
 
5.7%
128.0727331 3
 
4.3%
128.0922629 2
 
2.9%
128.05343 2
 
2.9%
128.0813354 2
 
2.9%
128.0403422 2
 
2.9%
128.0744301 2
 
2.9%
128.1336229 2
 
2.9%
128.0412952 2
 
2.9%
Other values (40) 45
64.3%
ValueCountFrequency (%)
127.9265295 1
1.4%
127.9596724 1
1.4%
127.9652287 1
1.4%
127.967498 1
1.4%
127.9693768 1
1.4%
127.9715 1
1.4%
127.9722285 1
1.4%
127.9747911 1
1.4%
127.9883272 1
1.4%
127.9922 1
1.4%
ValueCountFrequency (%)
128.1336229 2
2.9%
128.133157 1
1.4%
128.1277615 1
1.4%
128.1221785 1
1.4%
128.1203766 1
1.4%
128.1139033 1
1.4%
128.0975624 2
2.9%
128.0972 1
1.4%
128.0932951 1
1.4%
128.0922629 2
2.9%

비고1
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing65
Missing (%)92.9%
Memory size692.0 B
2023-12-11T08:51:40.776767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length23.6
Min length17

Characters and Unicode

Total characters118
Distinct characters22
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

Unique5 ?
Unique (%)100.0%

Sample

1st rowThe very first Turtle Ship road
2nd rowShilan Sunset road
3rd rowSamcheonpo elephant road
4th rowSacheon hope road
5th rowThe Hare and the turtle road
ValueCountFrequency (%)
road 5
23.8%
the 3
14.3%
turtle 2
 
9.5%
very 1
 
4.8%
first 1
 
4.8%
ship 1
 
4.8%
shilan 1
 
4.8%
sunset 1
 
4.8%
samcheonpo 1
 
4.8%
elephant 1
 
4.8%
Other values (4) 4
19.0%
2023-12-11T08:51:41.364192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
13.6%
e 13
11.0%
a 11
9.3%
r 10
 
8.5%
o 9
 
7.6%
h 9
 
7.6%
t 7
 
5.9%
n 6
 
5.1%
d 6
 
5.1%
S 5
 
4.2%
Other values (12) 26
22.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 93
78.8%
Space Separator 16
 
13.6%
Uppercase Letter 9
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13
14.0%
a 11
11.8%
r 10
10.8%
o 9
9.7%
h 9
9.7%
t 7
7.5%
n 6
6.5%
d 6
6.5%
p 4
 
4.3%
l 4
 
4.3%
Other values (8) 14
15.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
55.6%
T 3
33.3%
H 1
 
11.1%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 102
86.4%
Common 16
 
13.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13
12.7%
a 11
10.8%
r 10
9.8%
o 9
8.8%
h 9
8.8%
t 7
 
6.9%
n 6
 
5.9%
d 6
 
5.9%
S 5
 
4.9%
p 4
 
3.9%
Other values (11) 22
21.6%
Common
ValueCountFrequency (%)
16
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
13.6%
e 13
11.0%
a 11
9.3%
r 10
 
8.5%
o 9
 
7.6%
h 9
 
7.6%
t 7
 
5.9%
n 6
 
5.1%
d 6
 
5.1%
S 5
 
4.2%
Other values (12) 26
22.0%

비고2
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing65
Missing (%)92.9%
Memory size692.0 B
2023-12-11T08:51:41.560767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length45
Mean length49.4
Min length45

Characters and Unicode

Total characters247
Distinct characters32
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowstart: Seonjinri-seong arrival: Mochung Park
2nd rowstart: Mochung Park arrival: eukdo historical site
3rd rowstart: Namildae Elephant rock arrival: Samcheonpo Bridge Park
4th rowstart: Daegok Forest arrival: Seonjinri-seong
5th rowstart: Seonjinri-seong arrival: Turtle Island
ValueCountFrequency (%)
start 5
16.7%
arrival 5
16.7%
park 3
10.0%
seonjinri-seong 3
10.0%
mochung 2
 
6.7%
samcheonpo 1
 
3.3%
turtle 1
 
3.3%
forest 1
 
3.3%
daegok 1
 
3.3%
bridge 1
 
3.3%
Other values (7) 7
23.3%
2023-12-11T08:51:41.891968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
10.9%
r 26
 
10.5%
a 25
 
10.1%
i 16
 
6.5%
t 15
 
6.1%
e 15
 
6.1%
o 15
 
6.1%
n 14
 
5.7%
s 12
 
4.9%
: 10
 
4.0%
Other values (22) 72
29.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 191
77.3%
Space Separator 27
 
10.9%
Uppercase Letter 16
 
6.5%
Other Punctuation 10
 
4.0%
Dash Punctuation 3
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 26
13.6%
a 25
13.1%
i 16
8.4%
t 15
7.9%
e 15
7.9%
o 15
7.9%
n 14
 
7.3%
s 12
 
6.3%
l 10
 
5.2%
g 7
 
3.7%
Other values (9) 36
18.8%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
P 3
18.8%
M 2
12.5%
E 1
 
6.2%
N 1
 
6.2%
B 1
 
6.2%
D 1
 
6.2%
F 1
 
6.2%
T 1
 
6.2%
I 1
 
6.2%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Punctuation
ValueCountFrequency (%)
: 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 207
83.8%
Common 40
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 26
12.6%
a 25
12.1%
i 16
 
7.7%
t 15
 
7.2%
e 15
 
7.2%
o 15
 
7.2%
n 14
 
6.8%
s 12
 
5.8%
l 10
 
4.8%
g 7
 
3.4%
Other values (19) 52
25.1%
Common
ValueCountFrequency (%)
27
67.5%
: 10
 
25.0%
- 3
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
 
10.9%
r 26
 
10.5%
a 25
 
10.1%
i 16
 
6.5%
t 15
 
6.1%
e 15
 
6.1%
o 15
 
6.1%
n 14
 
5.7%
s 12
 
4.9%
: 10
 
4.0%
Other values (22) 72
29.1%

비고3
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing65
Missing (%)92.9%
Memory size692.0 B
2023-12-11T08:51:42.045398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length36
Min length34

Characters and Unicode

Total characters180
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowTotal distance: 14km time: 4 hours
2nd rowTotal distance: 8km Time: 2 hours 30 minutes
3rd rowTotal distance: 11km time: 3 hours
4th rowTotal distance: 13km time: 3 hours
5th rowTotal distance: 16km Time: 4 hours
ValueCountFrequency (%)
total 5
15.6%
distance 5
15.6%
time 5
15.6%
hours 5
15.6%
4 2
 
6.2%
3 2
 
6.2%
14km 1
 
3.1%
8km 1
 
3.1%
2 1
 
3.1%
30 1
 
3.1%
Other values (4) 4
12.5%
2023-12-11T08:51:42.380227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
15.0%
t 14
 
7.8%
e 11
 
6.1%
m 11
 
6.1%
i 11
 
6.1%
s 11
 
6.1%
: 10
 
5.6%
a 10
 
5.6%
o 10
 
5.6%
T 7
 
3.9%
Other values (15) 58
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 120
66.7%
Space Separator 27
 
15.0%
Decimal Number 16
 
8.9%
Other Punctuation 10
 
5.6%
Uppercase Letter 7
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 14
11.7%
e 11
9.2%
m 11
9.2%
i 11
9.2%
s 11
9.2%
a 10
 
8.3%
o 10
 
8.3%
n 6
 
5.0%
u 6
 
5.0%
c 5
 
4.2%
Other values (5) 25
20.8%
Decimal Number
ValueCountFrequency (%)
1 5
31.2%
3 4
25.0%
4 3
18.8%
8 1
 
6.2%
2 1
 
6.2%
0 1
 
6.2%
6 1
 
6.2%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Punctuation
ValueCountFrequency (%)
: 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 127
70.6%
Common 53
29.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 14
11.0%
e 11
 
8.7%
m 11
 
8.7%
i 11
 
8.7%
s 11
 
8.7%
a 10
 
7.9%
o 10
 
7.9%
T 7
 
5.5%
n 6
 
4.7%
u 6
 
4.7%
Other values (6) 30
23.6%
Common
ValueCountFrequency (%)
27
50.9%
: 10
 
18.9%
1 5
 
9.4%
3 4
 
7.5%
4 3
 
5.7%
8 1
 
1.9%
2 1
 
1.9%
0 1
 
1.9%
6 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
15.0%
t 14
 
7.8%
e 11
 
6.1%
m 11
 
6.1%
i 11
 
6.1%
s 11
 
6.1%
: 10
 
5.6%
a 10
 
5.6%
o 10
 
5.6%
T 7
 
3.9%
Other values (15) 58
32.2%

비고4
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing66
Missing (%)94.3%
Memory size692.0 B
2023-12-11T08:51:42.607531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length229
Median length161.5
Mean length169.25
Min length125

Characters and Unicode

Total characters677
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
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 rowThis beautiful coastline walkway offers resting area, photo zone and mudflat experience area along the beautiful Sacheon Bay.
2nd rowStartng at Mochung Park that shows the beautiful stream of Hallyeosudo, Shilan Sunset road is the hallmark of Sacheon’s beauty as it shows the remarkable sunset of Shilan coastline road.
3rd rowSamcheonpo elephant road has the rich view of the beauty of Namildae. It’s a fun-filled course with Sachoen’s major attractions such as Nosan Park, fish market, ferryboat ride, and Samcheonpo Bridge, etc. packed into one course.
4th row Daegok Forest, the forest selected as the most beautiful in Korea, passing Chocheon Park abloom with waterlilies and to Seonjinri-seong
ValueCountFrequency (%)
the 8
 
7.7%
of 5
 
4.8%
beautiful 4
 
3.8%
as 3
 
2.9%
road 3
 
2.9%
and 3
 
2.9%
park 3
 
2.9%
shows 2
 
1.9%
forest 2
 
1.9%
with 2
 
1.9%
Other values (62) 69
66.3%
2023-12-11T08:51:42.976480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
15.2%
e 62
 
9.2%
a 62
 
9.2%
o 47
 
6.9%
t 45
 
6.6%
s 36
 
5.3%
n 32
 
4.7%
r 31
 
4.6%
h 31
 
4.6%
i 30
 
4.4%
Other values (32) 198
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 531
78.4%
Space Separator 103
 
15.2%
Uppercase Letter 25
 
3.7%
Other Punctuation 13
 
1.9%
Final Punctuation 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 62
11.7%
a 62
11.7%
o 47
 
8.9%
t 45
 
8.5%
s 36
 
6.8%
n 32
 
6.0%
r 31
 
5.8%
h 31
 
5.8%
i 30
 
5.6%
l 24
 
4.5%
Other values (15) 131
24.7%
Uppercase Letter
ValueCountFrequency (%)
S 10
40.0%
P 3
 
12.0%
B 2
 
8.0%
N 2
 
8.0%
K 1
 
4.0%
F 1
 
4.0%
I 1
 
4.0%
D 1
 
4.0%
T 1
 
4.0%
H 1
 
4.0%
Other values (2) 2
 
8.0%
Other Punctuation
ValueCountFrequency (%)
, 8
61.5%
. 5
38.5%
Space Separator
ValueCountFrequency (%)
103
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 556
82.1%
Common 121
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 62
 
11.2%
a 62
 
11.2%
o 47
 
8.5%
t 45
 
8.1%
s 36
 
6.5%
n 32
 
5.8%
r 31
 
5.6%
h 31
 
5.6%
i 30
 
5.4%
l 24
 
4.3%
Other values (27) 156
28.1%
Common
ValueCountFrequency (%)
103
85.1%
, 8
 
6.6%
. 5
 
4.1%
’ 3
 
2.5%
- 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 674
99.6%
Punctuation 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
15.3%
e 62
 
9.2%
a 62
 
9.2%
o 47
 
7.0%
t 45
 
6.7%
s 36
 
5.3%
n 32
 
4.7%
r 31
 
4.6%
h 31
 
4.6%
i 30
 
4.5%
Other values (31) 195
28.9%
Punctuation
ValueCountFrequency (%)
’ 3
100.0%

Interactions

2023-12-11T08:51:34.874467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:34.368527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:34.631315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:34.954742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:34.456870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:34.731241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:35.030271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:34.543720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:34.800948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:51:43.088978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목내용조회수등록일거리소요 시간부제목위도경도비고1비고2비고3비고4
제목1.0001.0000.0000.7740.8770.5901.0000.9910.9871.0001.0001.0001.000
내용1.0001.0000.0000.7840.9730.0001.0001.0001.0001.0001.0001.0001.000
조회수0.0000.0001.0000.5640.8540.9691.0000.3270.5101.0001.0001.0001.000
등록일0.7740.7840.5641.0000.9660.9271.0000.4410.7291.0001.0001.0001.000
거리0.8770.9730.8540.9661.0000.9761.0001.0001.0001.0001.0001.0001.000
소요 시간0.5900.0000.9690.9270.9761.0001.0000.0000.6881.0001.0001.0001.000
부제목1.0001.0001.0001.0001.0001.0001.0001.0001.000NaNNaNNaNNaN
위도0.9911.0000.3270.4411.0000.0001.0001.0000.7631.0001.0001.0001.000
경도0.9871.0000.5100.7291.0000.6881.0000.7631.0001.0001.0001.0001.000
비고11.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.000
비고21.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.000
비고31.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.000
비고41.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.000
2023-12-11T08:51:43.222971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조회수위도경도등록일
조회수1.0000.2490.1000.239
위도0.2491.000-0.2740.261
경도0.100-0.2741.0000.371
등록일0.2390.2610.3711.000

Missing values

2023-12-11T08:51:35.151186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:51:35.311843image/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.
2023-12-11T08:51:35.440307image/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

제목내용조회수등록일팁거리소요 시간부제목위도경도비고1비고2비고3비고4
0Yongdu ParkEco-friendly park at the foot of Waryong Reservoir. Yongdu Park!Yongdu Park is a park for relaxation, where hikers and citizens can take a good rest. Hinoki cypress trees, forest bathing area, grass square, exercise area, trail, and etc satisfy the health needs of the hikers and citizens, establishing as the perfect place for rest and leisure.1912013-05-07Also famous for annual royal azalea hikes in May.4.21km11 minutesFirst, enjoy the peace at the foot of Mt. Waryong, second, taste the fresh seafood at the fish market, and lastly, head to Samcheonpo great Bridge for scenery. Marvelous feature of Samcheonpo bridge and the clear view of the sea welcome you.34.957686128.092263<NA><NA><NA><NA>
1Samcheonpo Fish MarketA loaf of bread is better than the song of many birds. Fresh sashimi is a must-eat for the Sacheon tourists!Samcheonpo Fish Market is another name for Samcheonpo Western Market. At this market, like any other traditional markets, various vegetables and fruits from the regional farms, and live fish, shellfish, and dried fish can be purchased.732013-05-07<NA>1.93km5 minutes<NA>34.927869128.072733<NA><NA><NA><NA>
2Daebangjin Milirary PortA painting on the calm surface of water!Daebangjin Port is an artificial port system built to protect the coast from Japanese pirates. It was a military base designed in a way that the inside of the port was not visible from the outside. The dark shadow of old hackberry trees over the turquoise water features landscape painting scenery.462013-05-07<NA>876m2 minutes<NA>34.929045128.056815<NA><NA><NA><NA>
3Samcheonpo bridge ParkLocated at the entrance of ChangseonSamcheonpo bridge, Samcheonpo bridge Park runs regional specialty shops, outdoor stage, and tourist information center. This is where the marina for The Hallyeo waterway (name of a supersize cruise ship) is, which enables 100,000 tourists to visit per year.582013-05-07<NA>1.26km2 minutes<NA>34.932469128.052127<NA><NA><NA><NA>
4Silannakjo coastal road (Sunset)The view of the seashore, blue waves, and coastlines is spectacular on Silannakjo coastal road, especially with the sunset glow.512013-05-07<NA><NA><NA><NA>34.939526128.042147<NA><NA><NA><NA>
5Namildae Elephant RockShape of an elephant with its trunk dipped in the water for a drink! Elephant Rock at Namildae.A natural cave was formed between trunk and body of the elephant shape, where seashells, clamshells, and sand grains gets piled up by waves over a long period of time.602013-05-07<NA>927m6 minutesCome to Shinsu Island, and the beautiful sea is all yours! Get started with Namildae’s extraordinary scenery, and then appreciate the nature’s fine beauty at one of ‘Korea’s 10 best treasure islands’, Sinsu Island.34.924096128.0972<NA><NA><NA><NA>
6Namildae beachNamildae beach in Hyangchon-dong, 3.5km away from the city center, is referred as the best scenic spot in the Southern land. The island was named by a scholar in late Silla dynasty, Choe Chiwon, deeply mesmerized by its scenery.442013-05-07<NA>4.4km14 minutes<NA>34.927096128.097562<NA><NA><NA><NA>
7Sinshu IslandOne of Koreas 10 best treasure islands, Sinsu Island.Sinsu Island, being the largest of Sacheons 6 habited islands, was formerly called as Sindu Island, because fifty two large and small rock islands consist the spot.Densely installed bamboo fences, known as fish bamboo weirs, catch tourists eyes. This is a primitive fishing trap that catches fish using the tide, possible only in the fast tidal current.422013-05-07<NA><NA><NA><NA>34.903482128.074482<NA><NA><NA><NA>
8Sacheon High-Tech Aerospace Science MuseumTrip to space, where Aerospace ideas grow!Sacheon High-Tech Aerospace Science Museum is located in the aerospace industrial city, Sacheon. After its official opening in May 2013, it has been inspiring infinite dreams and imaginations about aerospace science, as the nations largest aerospace science museum.The museum features the permanent exhibition hall, 4D theater, special exhibition hall, and outdoor exhibition hall. 5 themes zones (Discovering new thoughts, renewing energy, flight experience, space expedition, and space travel) compose the exhibition.482013-05-07<NA>4.94km10 minutesHow about a trip to High-Tech Aerospace Science Museum for developing dreams and imaginative powers of children? Splendid view of Sacheon Bay’s coastal roads awaits you, too. Officially opened to the public from this year.35.070521128.064124<NA><NA><NA><NA>
9Sunjin-ri FortSunjin-ri Fort is most beautiful when its cherry blossoms fully bloom.Sunjin-ri Fort in Sacheon is Japanese-style Fort, built by Japanese army during Japanese invasion of Korea in 1592. Thats why some people refer to it as Sunjin-ri Japanese Fort. Now you can only identify traces of the Fort on a shallow-sloping hill. Visitors will be welcomed with full blown cherry blossoms around the Fort in spring, as if it tries to cover its wound with the flower./ Sunjin-ri Fort is at its zenith during spring, when cherry blossoms are in full bloom.442013-05-07<NA>1.96km4 minutes<NA>35.043691128.041881<NA><NA><NA><NA>
제목내용조회수등록일팁거리소요 시간부제목위도경도비고1비고2비고3비고4
607080벽화골목길어둡고 후미진 골목길이 7080추억을 회상하는 공간으로!사천시 벌용동 골목길이 참 살기 좋은 마을 꾸미기 사업에 선정돼 7080벽화 골목길로 재탄생했습니다. 이 곳 벽화에는 검정 모자와 검정 교복차림의 학창시절 모습이 고스란히 담겨 있어 옛 추억을 회상하는 재미와 추억을 동시에 선사하고 있습니다.112013-06-10<NA><NA><NA><NA>34.939365128.081335<NA><NA><NA><NA>
617080벽화골목길7080 벽화골목길은 1970~80년대 시절 삼천포 중,고등학교와 학생들과 교사들이 자취나 하숙 생활을 하며 통학을 하던 곳으로 많은 이들의 추억이 담겨 있는 곳이어서 더욱 의미가 남다름니다. 옛 친구와 함께 추억을 회상하며 이곳을 거닐어 보는 것도 좋을것 같습니다.42013-06-10<NA><NA><NA><NA>34.939365128.081335<NA><NA><NA><NA>
62Sacheon BridgeOur journey starts at Sacheon Bridge, one of Sacheons landmarks.The view of the vast sea that lies under Sacheon Bridge is very refreshing. The single road that stretches ahead will help you focus on the road ahead and clear out the distractions.292013-06-13<NA>2.45km7 minutes<NA>35.002112128.029605The Hare and the turtle roadstart: Seonjinri-seong arrival: Turtle IslandTotal distance: 16km Time: 4 hours<NA>
63Sacheon Bridge resting postSacheon Bridge resting post is the first structure that you see as soon as you cross Sacheon Bridge. Here you can slow down your breath as you might have gotten worked up from the walk along Sacheon Bridge. You can also meet other hikers or visitors from different destination and share stories.242013-06-13<NA>1.48km4 minutes<NA>35.004177128.018768<NA><NA><NA><NA>
64Gupo VillageA large field of rape blossoms form quite a sight in front of Gupo Village. Rape blossoms stay in bloom from mid April to mid May. They are about 1m tall and the bright yellow flowers and green leaves represent the best of spring. This area boasts a sweeping view of the clear blue Sacheon Bay and Sacheon Bridge.272013-06-13<NA>5km10 minutes<NA>34.997343128.009078<NA><NA><NA><NA>
65Seonchang VillageAlong Gupyeongri and Seoporo from Seonchang Village is Seonchang Village.This little seaside village welcomes the visitors with fishing boats at the dock. Passing this modest fishing village, you will head to Bitogyo (bridge).202013-06-13<NA>1.54km4 minutes<NA>34.996022127.974791<NA><NA><NA><NA>
66Bitogyo (bridge)Bitogyo (bridge) connects south Seopomyeon and west Bito Island. Crossing this bridge will get you to the beautiful mudflat lying across Seopomyeon and Bito Island. The locals are fiercely proud of their famous Seopo oysters which they say are tastier than Tongyeong oysters although less famous. Enjoy the cool breeze of the coastline and move onto the next destination.212013-06-13<NA>0.4km1 minutes<NA>34.98498127.967498<NA><NA><NA><NA>
67Saemaul resting areaSaemaul provides a resting area from Bitogyo (bridge)Take a break at this resting area decorated with beautiful flowers of different colors and move onto the next destination.202013-06-13<NA>2.4km7 minutes<NA>34.98123127.965229<NA><NA><NA><NA>
68Nakjipo VillageNakjipo Village boasts the wide expanse of the beautiful sea!Bitoris Nakjipo greets you with the rich smell of the sea. The fresh oysters of the Bito Island is really the best in Korea. As the oysters are grown in clear blue sea water, the flavor is richer and the fresh texture is lasting. Passing Nakjipo Village, you will get to the last destination, Waldeong Island.202013-06-13<NA>2.09km5분<NA>34.969953127.9715<NA><NA><NA><NA>
69Waldeong IslandWaldeong Island with the legend of Byeoljubu-jeon marks the very end of the hare and turtle road!The turtle first arrived on land to look for the rabbit in Waldeong Island, Waldeong Island has many posts that tell of the legend of Byeoljubu-jeon. The rabbit that reached the front sea of Waldeong Island was frightened by the shadow of Waldeong Island in the moonlight and jumped into the sea. A small island in the shape of a rabbit emerged where the rabbit perished. It is now called Rabbit Island. To the left of Waldeong Island sits the Turtle Island. This island has a clear shape of a turtle. Bito Island is flanked by Turtle Island and Rabbit Island deep in the mystery of Byeoljubu-jeon.192013-06-13<NA><NA><NA><NA>34.974354127.996199<NA><NA><NA><NA>