Overview

Dataset statistics

Number of variables14
Number of observations70
Missing cells408
Missing cells (%)41.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory116.9 B

Variable types

Text9
Numeric3
DateTime1
Categorical1

Dataset

Description경상남도 사천시 문화관광홈페이지 추천여행 테이블의 제목, 내용, 조회수, 등록일, 거리, 소유시간 등을 중국어로 표기한 파일데이터 입니다.
Author경상남도 사천시
URLhttps://www.data.go.kr/data/15084211/fileData.do

Alerts

팁 has constant value ""Constant
팁 has 69 (98.6%) missing valuesMissing
거리 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 65 (92.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:17:15.624817
Analysis finished2023-12-12 17:17:18.723899
Duration3.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct49
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-13T02:17:18.951744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.9
Min length2

Characters and Unicode

Total characters343
Distinct characters127
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)47.1%

Sample

1st row龙头公园
2nd row三千浦水产市场
3rd row大芳镇掘港
4th row三千浦大桥公园
5th row实安海岸路（落日）
ValueCountFrequency (%)
船津里城 4
 
5.7%
三千浦大桥公园 3
 
4.3%
三千浦水产市场 3
 
4.3%
慕忠公园 3
 
4.3%
大谷树林 2
 
2.9%
龙沼游园地 2
 
2.9%
泗川大桥 2
 
2.9%
昌善三千浦大桥 2
 
2.9%
鲁山公园 2
 
2.9%
船舱村 2
 
2.9%
Other values (39) 45
64.3%
2023-12-13T02:17:19.484875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
浦 13
 
3.8%
大 13
 
3.8%
园 13
 
3.8%
桥 11
 
3.2%
公 10
 
2.9%
三 10
 
2.9%
千 10
 
2.9%
村 9
 
2.6%
川 9
 
2.6%
泗 8
 
2.3%
Other values (117) 237
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
97.1%
Decimal Number 8
 
2.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
浦 13
 
3.9%
大 13
 
3.9%
园 13
 
3.9%
桥 11
 
3.3%
公 10
 
3.0%
三 10
 
3.0%
千 10
 
3.0%
村 9
 
2.7%
川 9
 
2.7%
泗 8
 
2.4%
Other values (112) 227
68.2%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
7 2
25.0%
8 2
25.0%
Open Punctuation
ValueCountFrequency (%)
（ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
） 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 323
94.2%
Common 10
 
2.9%
Hangul 10
 
2.9%

Most frequent character per script

Han
ValueCountFrequency (%)
浦 13
 
4.0%
大 13
 
4.0%
园 13
 
4.0%
桥 11
 
3.4%
公 10
 
3.1%
三 10
 
3.1%
千 10
 
3.1%
村 9
 
2.8%
川 9
 
2.8%
泗 8
 
2.5%
Other values (107) 217
67.2%
Common
ValueCountFrequency (%)
0 4
40.0%
7 2
20.0%
8 2
20.0%
（ 1
 
10.0%
） 1
 
10.0%
Hangul
ValueCountFrequency (%)
길 2
20.0%
벽 2
20.0%
화 2
20.0%
골 2
20.0%
목 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 323
94.2%
Hangul 10
 
2.9%
ASCII 8
 
2.3%
None 2
 
0.6%

Most frequent character per block

CJK
ValueCountFrequency (%)
浦 13
 
4.0%
大 13
 
4.0%
园 13
 
4.0%
桥 11
 
3.4%
公 10
 
3.1%
三 10
 
3.1%
千 10
 
3.1%
村 9
 
2.8%
川 9
 
2.8%
泗 8
 
2.5%
Other values (107) 217
67.2%
ASCII
ValueCountFrequency (%)
0 4
50.0%
7 2
25.0%
8 2
25.0%
Hangul
ValueCountFrequency (%)
길 2
20.0%
벽 2
20.0%
화 2
20.0%
골 2
20.0%
목 2
20.0%
None
ValueCountFrequency (%)
（ 1
50.0%
） 1
50.0%

내용
Text

Distinct65
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-13T02:17:19.859922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length226
Median length131.5
Mean length120.24286
Min length47

Characters and Unicode

Total characters8417
Distinct characters1070
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
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 row卧龙贮水池下的自然生态休闲公园龙头公园龙头公园是卧龙山登山者及市民的休息、休闲公园。公园内种有扁柏，设有森林浴场、草坪广场、体育广场、散步路等。可以充分满足登山者和市民们对健康的追求。如今，公园已经成为了当地居民的休闲娱乐场所。
2nd row俗话说就算是金刚山也得吃饱了饭再去。来泗川就一定要尝一尝新鲜活鱼的味道。三千浦水产市场又叫三千浦西部市场。在这里与其他传统市场一样，可以买到附近农村种植的蔬菜水果，也可以品尝活鱼、贝类、鲜鱼、干鱼等水产品后再购买。
3rd row画在平静水面上的画！大芳镇掘港是高丽时代为抵御倭寇对沿岸的频繁侵略而修建的人工港口。在港口外部看不到内部的情况，以此结构作为当时的军事基地。掘港墨绿色平静的水面上倒映着百年朴树的影子，仿佛是在美丽的绸缎上画出的山水画一样。
4th row是位于昌善三千浦大桥入口的公园。公园内有特产销售店、露天舞台、观光咨询处等设施，也有超大型游艇丽闲水道号的码头。这是一处年客流量10万人次的观光旅游胜地。
5th row实安海岸路上有海岸的绝景、波光荡漾的蔚蓝的大海、细密的海岸线等秀丽无比的自然景观。这里的晚霞也是一道无可比拟的美丽景观。
ValueCountFrequency (%)
추억을 3
 
2.1%
夏天休假时去龙沼游园地游玩了！溪谷的水很浅很清澈，带着孩子一起来的、以家庭为单位的避暑游客很多。很多人为了避暑或者野营而来到这里。作为夏天的休闲地，您一定不会后悔来龙沼游园地、龙沼溪谷的。夏天休假来龙沼溪谷时一定要做好打水仗的准备！ 2
 
1.4%
담겨 2
 
1.4%
검정 2
 
1.4%
골목길이 2
 
1.4%
옛 2
 
1.4%
卧龙贮水池下的自然生态休闲公园龙头公园龙头公园是卧龙山登山者及市民的休息、休闲公园。公园内种有扁柏，设有森林浴场、草坪广场、体育广场、散步路等。可以充分满足登山者和市民们对健康的追求。如今，公园已经成为了当地居民的休闲娱乐场所。 2
 
1.4%
泗川一般产业基地连接南阳洞海岸路的泗川湾海岸路这是一条拥有秀丽的自然景观和地方特色和代表性的亲近大自然的路，让人感到舒畅的路。龙见面琴闻海岸上设有泥滩场和体验场，在这可以听见孩子们的欢声笑语。海岸上还设有泥滩眺望台，可以观赏到具有异国情调的风景。正前方的海上有随着海浪波动的浮桥泥滩观赏路，可以在距离大海最近的地方观察体验泥滩。 2
 
1.4%
俗话说就算是金刚山也得吃饱了饭再去。来泗川就一定要尝一尝新鲜活鱼的味道。三千浦水产市场又叫三千浦西部市场。在这里与其他传统市场一样，可以买到附近农村种植的蔬菜水果，也可以品尝活鱼、贝类、鲜鱼、干鱼等水产品后再购买。 2
 
1.4%
樱花竞相开放时美丽无比的船津里城泗川的船津里城是壬辰倭乱时期入侵的倭军为准备据点而修建的日本式城郭。所以，也有人称这里为船津里倭城。如今，低缓的山坡上只能辨认出城郭的痕迹。到了春天，城周围的樱花竞相开放，仿佛欲掩盖过去的伤口一样迎接着各地的游客。/樱花竞相开放时船津里城便形成一幅美丽无比的景象！ 2
 
1.4%
Other values (124) 125
85.6%
2023-12-13T02:17:20.400179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
的 440
 
5.2%
。 235
 
2.8%
， 161
 
1.9%
海 112
 
1.3%
一 108
 
1.3%
在 104
 
1.2%
大 96
 
1.1%
了 80
 
1.0%
76
 
0.9%
以 76
 
0.9%
Other values (1060) 6929
82.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7707
91.6%
Other Punctuation 498
 
5.9%
Decimal Number 101
 
1.2%
Space Separator 76
 
0.9%
Dash Punctuation 17
 
0.2%
Lowercase Letter 9
 
0.1%
Initial Punctuation 3
 
< 0.1%
Final Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
的 440
 
5.7%
海 112
 
1.5%
一 108
 
1.4%
在 104
 
1.3%
大 96
 
1.2%
了 80
 
1.0%
以 76
 
1.0%
里 73
 
0.9%
这 72
 
0.9%
是 69
 
0.9%
Other values (1032) 6477
84.0%
Decimal Number
ValueCountFrequency (%)
0 34
33.7%
1 13
 
12.9%
2 10
 
9.9%
7 9
 
8.9%
5 9
 
8.9%
8 8
 
7.9%
3 7
 
6.9%
6 5
 
5.0%
4 4
 
4.0%
9 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
。 235
47.2%
， 161
32.3%
、 60
 
12.0%
！ 28
 
5.6%
. 6
 
1.2%
/ 5
 
1.0%
, 2
 
0.4%
! 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
— 16
94.1%
- 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
m 5
55.6%
k 4
44.4%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
” 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 7488
89.0%
Common 699
 
8.3%
Hangul 219
 
2.6%
Latin 11
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
的 440
 
5.9%
海 112
 
1.5%
一 108
 
1.4%
在 104
 
1.4%
大 96
 
1.3%
了 80
 
1.1%
以 76
 
1.0%
里 73
 
1.0%
这 72
 
1.0%
是 69
 
0.9%
Other values (932) 6258
83.6%
Hangul
ValueCountFrequency (%)
을 9
 
4.1%
이 9
 
4.1%
하 7
 
3.2%
다 5
 
2.3%
는 5
 
2.3%
억 5
 
2.3%
추 5
 
2.3%
곳 4
 
1.8%
어 4
 
1.8%
니 4
 
1.8%
Other values (90) 162
74.0%
Common
ValueCountFrequency (%)
。 235
33.6%
， 161
23.0%
76
 
10.9%
、 60
 
8.6%
0 34
 
4.9%
！ 28
 
4.0%
— 16
 
2.3%
1 13
 
1.9%
2 10
 
1.4%
7 9
 
1.3%
Other values (14) 57
 
8.2%
Latin
ValueCountFrequency (%)
m 5
45.5%
k 4
36.4%
D 1
 
9.1%
C 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
CJK 7488
89.0%
None 484
 
5.8%
Hangul 219
 
2.6%
ASCII 204
 
2.4%
Punctuation 22
 
0.3%

Most frequent character per block

CJK
ValueCountFrequency (%)
的 440
 
5.9%
海 112
 
1.5%
一 108
 
1.4%
在 104
 
1.4%
大 96
 
1.3%
了 80
 
1.1%
以 76
 
1.0%
里 73
 
1.0%
这 72
 
1.0%
是 69
 
0.9%
Other values (932) 6258
83.6%
None
ValueCountFrequency (%)
。 235
48.6%
， 161
33.3%
、 60
 
12.4%
！ 28
 
5.8%
ASCII
ValueCountFrequency (%)
76
37.3%
0 34
16.7%
1 13
 
6.4%
2 10
 
4.9%
7 9
 
4.4%
5 9
 
4.4%
8 8
 
3.9%
3 7
 
3.4%
. 6
 
2.9%
/ 5
 
2.5%
Other values (11) 27
 
13.2%
Punctuation
ValueCountFrequency (%)
— 16
72.7%
“ 3
 
13.6%
” 3
 
13.6%
Hangul
ValueCountFrequency (%)
을 9
 
4.1%
이 9
 
4.1%
하 7
 
3.2%
다 5
 
2.3%
는 5
 
2.3%
억 5
 
2.3%
추 5
 
2.3%
곳 4
 
1.8%
어 4
 
1.8%
니 4
 
1.8%
Other values (90) 162
74.0%

조회수
Real number (ℝ)

Distinct31
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum4
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-13T02:17:20.559497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile13.45
Q116.25
median20
Q328.75
95-th percentile62.5
Maximum182
Range178
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation23.726705
Coefficient of variation (CV)0.84738232
Kurtosis25.606956
Mean28
Median Absolute Deviation (MAD)5
Skewness4.3729867
Sum1960
Variance562.95652
MonotonicityNot monotonic
2023-12-13T02:17:20.729287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
16 7
 
10.0%
25 7
 
10.0%
20 6
 
8.6%
19 5
 
7.1%
14 5
 
7.1%
18 4
 
5.7%
17 4
 
5.7%
13 2
 
2.9%
57 2
 
2.9%
67 2
 
2.9%
Other values (21) 26
37.1%
ValueCountFrequency (%)
4 1
 
1.4%
12 1
 
1.4%
13 2
 
2.9%
14 5
7.1%
15 2
 
2.9%
16 7
10.0%
17 4
5.7%
18 4
5.7%
19 5
7.1%
20 6
8.6%
ValueCountFrequency (%)
182 1
1.4%
76 1
1.4%
67 2
2.9%
57 2
2.9%
53 1
1.4%
52 2
2.9%
49 1
1.4%
43 1
1.4%
36 1
1.4%
34 1
1.4%

등록일
Date

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2013-05-07 00:00:00
Maximum2013-06-13 00:00:00
2023-12-13T02:17:20.884028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:21.015175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

팁
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing69
Missing (%)98.6%
Memory size692.0 B
2023-12-13T02:17:21.183664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters20
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 row每年5月份的卧龙山踯躅山行活动也很出名。
ValueCountFrequency (%)
每年5月份的卧龙山踯躅山行活动也很出名。 1
100.0%
2023-12-13T02:17:21.492277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
山 2
 
10.0%
每 1
 
5.0%
躅 1
 
5.0%
名 1
 
5.0%
出 1
 
5.0%
很 1
 
5.0%
也 1
 
5.0%
动 1
 
5.0%
活 1
 
5.0%
行 1
 
5.0%
Other values (9) 9
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
90.0%
Decimal Number 1
 
5.0%
Other Punctuation 1
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
山 2
 
11.1%
每 1
 
5.6%
躅 1
 
5.6%
名 1
 
5.6%
出 1
 
5.6%
很 1
 
5.6%
也 1
 
5.6%
动 1
 
5.6%
活 1
 
5.6%
行 1
 
5.6%
Other values (7) 7
38.9%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Other Punctuation
ValueCountFrequency (%)
。 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 18
90.0%
Common 2
 
10.0%

Most frequent character per script

Han
ValueCountFrequency (%)
山 2
 
11.1%
每 1
 
5.6%
躅 1
 
5.6%
名 1
 
5.6%
出 1
 
5.6%
很 1
 
5.6%
也 1
 
5.6%
动 1
 
5.6%
活 1
 
5.6%
行 1
 
5.6%
Other values (7) 7
38.9%
Common
ValueCountFrequency (%)
5 1
50.0%
。 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 18
90.0%
ASCII 1
 
5.0%
None 1
 
5.0%

Most frequent character per block

CJK
ValueCountFrequency (%)
山 2
 
11.1%
每 1
 
5.6%
躅 1
 
5.6%
名 1
 
5.6%
出 1
 
5.6%
很 1
 
5.6%
也 1
 
5.6%
动 1
 
5.6%
活 1
 
5.6%
行 1
 
5.6%
Other values (7) 7
38.9%
ASCII
ValueCountFrequency (%)
5 1
100.0%
None
ValueCountFrequency (%)
。 1
100.0%

거리
Text

MISSING 

Distinct50
Distinct (%)94.3%
Missing17
Missing (%)24.3%
Memory size692.0 B
2023-12-13T02:17:21.726045image/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%
2023-12-13T02:17:22.173202image/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
Categorical

Distinct25
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
17 
2分钟
7 
4分钟
5 
5分钟
4 
6分钟
4 
Other values (20)
33 

Length

Max length7
Median length4
Mean length3.5857143
Min length3

Unique

Unique11 ?
Unique (%)15.7%

Sample

1st row11分钟
2nd row5分钟
3rd row2分钟
4th row2分钟
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
24.3%
2分钟 7
 
10.0%
4分钟 5
 
7.1%
5分钟 4
 
5.7%
6分钟 4
 
5.7%
7分钟 4
 
5.7%
3分钟 3
 
4.3%
15分钟 3
 
4.3%
1小时 2
 
2.9%
14分钟 2
 
2.9%
Other values (15) 19
27.1%

Length

2023-12-13T02:17:22.345215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 17
24.3%
2分钟 8
11.4%
4分钟 5
 
7.1%
5分钟 4
 
5.7%
6分钟 4
 
5.7%
7分钟 4
 
5.7%
3分钟 3
 
4.3%
15分钟 3
 
4.3%
21分钟 2
 
2.9%
11分钟 2
 
2.9%
Other values (14) 18
25.7%

부제목
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing62
Missing (%)88.6%
Memory size692.0 B
2023-12-13T02:17:22.650113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length67.5
Mean length68.625
Min length58

Characters and Unicode

Total characters549
Distinct characters257
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
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 row在卧龙山脚下享受清闲，在水产市场品尝新鲜的海鲜，接下来就是三千浦大桥了。三千浦大桥的飒爽风姿和海岸路上广阔的风景正准备迎接诸位的到来。
2nd row可以尽情观赏美丽大海的新树岛旅行！南逸台的灵秀景色、“韩国十大最佳名岛”之一的新树岛，在这里您可以尽情享受自然之美。
3rd row今年正式开馆的尖端航空宇宙科学馆可以培养孩子们的梦想和想象力；走在泗川湾海岸路上可以欣赏美丽的自然景观，制定一次充实的旅行计划怎么样呢？
4th row在美丽的树林与溪谷中放松身心后，看着大海品尝新鲜的生鱼片。这就是三千浦活鱼旅行！享受新鲜的生鱼片，在笔直的海岸上奔跑可以让身心得到放松。
5th row韩国具有代表性的寺庙之一——多率寺！在具有悠久历史的幽静的多率寺山寺中享受一次时光旅行，然后参观泗川绿茶园区享受一下绿茶的香气吧。
ValueCountFrequency (%)
在卧龙山脚下享受清闲，在水产市场品尝新鲜的海鲜，接下来就是三千浦大桥了。三千浦大桥的飒爽风姿和海岸路上广阔的风景正准备迎接诸位的到来。 1
12.5%
可以尽情观赏美丽大海的新树岛旅行！南逸台的灵秀景色、“韩国十大最佳名岛”之一的新树岛，在这里您可以尽情享受自然之美。 1
12.5%
今年正式开馆的尖端航空宇宙科学馆可以培养孩子们的梦想和想象力；走在泗川湾海岸路上可以欣赏美丽的自然景观，制定一次充实的旅行计划怎么样呢？ 1
12.5%
在美丽的树林与溪谷中放松身心后，看着大海品尝新鲜的生鱼片。这就是三千浦活鱼旅行！享受新鲜的生鱼片，在笔直的海岸上奔跑可以让身心得到放松。 1
12.5%
韩国具有代表性的寺庙之一——多率寺！在具有悠久历史的幽静的多率寺山寺中享受一次时光旅行，然后参观泗川绿茶园区享受一下绿茶的香气吧。 1
12.5%
充满神奇的海洋鼈主簿传传说的飞兔岛！有泥滩存在的黑珍珠一般的岛屿。像摩西的奇迹一样，假如您想一睹开辟海路的壮丽景观，就在潮涨潮落时来飞兔岛旅行吧。 1
12.5%
泗川是一座与天赐自然景观和谐共存的美丽城市。龙沼溪谷、葱郁的晋分界树林、可以找寻朴在森诗人足迹的鲁山公园、美丽的月景……甩掉世俗的烦恼，沿着泗川邑城路线享受一次转换心情的旅行怎么样？ 1
12.5%
卧龙山每到5月份踯躅花开的季节就会形成一幅绝美的画面。5月初来这里您还可以参加“卧龙山飞龙祭”，尽情享受卧龙山的美丽。 1
12.5%
2023-12-13T02:17:23.166403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
的 34
 
6.2%
。 11
 
2.0%
一 11
 
2.0%
， 11
 
2.0%
在 10
 
1.8%
美 8
 
1.5%
海 8
 
1.5%
可 7
 
1.3%
以 7
 
1.3%
享 7
 
1.3%
Other values (247) 435
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
92.2%
Other Punctuation 35
 
6.4%
Decimal Number 2
 
0.4%
Dash Punctuation 2
 
0.4%
Initial Punctuation 2
 
0.4%
Final Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
的 34
 
6.7%
一 11
 
2.2%
在 10
 
2.0%
美 8
 
1.6%
海 8
 
1.6%
可 7
 
1.4%
以 7
 
1.4%
享 7
 
1.4%
受 7
 
1.4%
丽 7
 
1.4%
Other values (236) 400
79.1%
Other Punctuation
ValueCountFrequency (%)
。 11
31.4%
， 11
31.4%
！ 4
 
11.4%
、 4
 
11.4%
… 2
 
5.7%
？ 2
 
5.7%
； 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
5 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
— 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 506
92.2%
Common 43
 
7.8%

Most frequent character per script

Han
ValueCountFrequency (%)
的 34
 
6.7%
一 11
 
2.2%
在 10
 
2.0%
美 8
 
1.6%
海 8
 
1.6%
可 7
 
1.4%
以 7
 
1.4%
享 7
 
1.4%
受 7
 
1.4%
丽 7
 
1.4%
Other values (236) 400
79.1%
Common
ValueCountFrequency (%)
。 11
25.6%
， 11
25.6%
！ 4
 
9.3%
、 4
 
9.3%
… 2
 
4.7%
？ 2
 
4.7%
5 2
 
4.7%
— 2
 
4.7%
“ 2
 
4.7%
” 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
CJK 506
92.2%
None 33
 
6.0%
Punctuation 8
 
1.5%
ASCII 2
 
0.4%

Most frequent character per block

CJK
ValueCountFrequency (%)
的 34
 
6.7%
一 11
 
2.2%
在 10
 
2.0%
美 8
 
1.6%
海 8
 
1.6%
可 7
 
1.4%
以 7
 
1.4%
享 7
 
1.4%
受 7
 
1.4%
丽 7
 
1.4%
Other values (236) 400
79.1%
None
ValueCountFrequency (%)
。 11
33.3%
， 11
33.3%
！ 4
 
12.1%
、 4
 
12.1%
？ 2
 
6.1%
； 1
 
3.0%
Punctuation
ValueCountFrequency (%)
… 2
25.0%
— 2
25.0%
“ 2
25.0%
” 2
25.0%
ASCII
ValueCountFrequency (%)
5 2
100.0%

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
2023-12-13T02:17:23.374351image/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
2023-12-13T02:17:23.564010image/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
2023-12-13T02:17:23.767707image/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
2023-12-13T02:17:23.963006image/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
2023-12-13T02:17:24.152978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.4
Min length5

Characters and Unicode

Total characters27
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
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 row最初龟甲船路
2nd row实安晚霞路
3rd row三千浦象路
4th row泗川希望路
5th row兔子和乌龟路
ValueCountFrequency (%)
最初龟甲船路 1
20.0%
实安晚霞路 1
20.0%
三千浦象路 1
20.0%
泗川希望路 1
20.0%
兔子和乌龟路 1
20.0%
2023-12-13T02:17:24.510088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
路 5
18.5%
龟 2
 
7.4%
最 1
 
3.7%
浦 1
 
3.7%
和 1
 
3.7%
子 1
 
3.7%
兔 1
 
3.7%
望 1
 
3.7%
希 1
 
3.7%
川 1
 
3.7%
Other values (12) 12
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
路 5
18.5%
龟 2
 
7.4%
最 1
 
3.7%
浦 1
 
3.7%
和 1
 
3.7%
子 1
 
3.7%
兔 1
 
3.7%
望 1
 
3.7%
希 1
 
3.7%
川 1
 
3.7%
Other values (12) 12
44.4%

Most occurring scripts

ValueCountFrequency (%)
Han 27
100.0%

Most frequent character per script

Han
ValueCountFrequency (%)
路 5
18.5%
龟 2
 
7.4%
最 1
 
3.7%
浦 1
 
3.7%
和 1
 
3.7%
子 1
 
3.7%
兔 1
 
3.7%
望 1
 
3.7%
希 1
 
3.7%
川 1
 
3.7%
Other values (12) 12
44.4%

Most occurring blocks

ValueCountFrequency (%)
CJK 27
100.0%

Most frequent character per block

CJK
ValueCountFrequency (%)
路 5
18.5%
龟 2
 
7.4%
最 1
 
3.7%
浦 1
 
3.7%
和 1
 
3.7%
子 1
 
3.7%
兔 1
 
3.7%
望 1
 
3.7%
希 1
 
3.7%
川 1
 
3.7%
Other values (12) 12
44.4%

비고2
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing65
Missing (%)92.9%
Memory size692.0 B
2023-12-13T02:17:24.655524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length23
Min length16

Characters and Unicode

Total characters115
Distinct characters41
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 row开始 : 龙岘船津里城 终点 : 南阳慕忠公园
2nd row开始 : 南阳慕忠公园/ 通过 : 三千浦大桥公园 终点 : 勒岛一直
3rd row开始 : 南逸台象石 终点 : 三千浦大桥公园
4th row开始：大谷树林 终点：船津里城
5th row开始 : 泗川大桥 终点 : 龟岛
ValueCountFrequency (%)
9
31.0%
开始 4
13.8%
终点 4
13.8%
南阳慕忠公园 2
 
6.9%
三千浦大桥公园 2
 
6.9%
龙岘船津里城 1
 
3.4%
通过 1
 
3.4%
勒岛一直 1
 
3.4%
南逸台象石 1
 
3.4%
开始：大谷树林 1
 
3.4%
Other values (3) 3
 
10.3%
2023-12-13T02:17:24.990554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
22.6%
: 9
 
7.8%
开 5
 
4.3%
终 5
 
4.3%
点 5
 
4.3%
始 5
 
4.3%
公 4
 
3.5%
大 4
 
3.5%
园 4
 
3.5%
桥 3
 
2.6%
Other values (31) 45
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
67.0%
Space Separator 26
 
22.6%
Other Punctuation 12
 
10.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
开 5
 
6.5%
终 5
 
6.5%
点 5
 
6.5%
始 5
 
6.5%
公 4
 
5.2%
大 4
 
5.2%
园 4
 
5.2%
桥 3
 
3.9%
南 3
 
3.9%
岛 2
 
2.6%
Other values (27) 37
48.1%
Other Punctuation
ValueCountFrequency (%)
: 9
75.0%
： 2
 
16.7%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 77
67.0%
Common 38
33.0%

Most frequent character per script

Han
ValueCountFrequency (%)
开 5
 
6.5%
终 5
 
6.5%
点 5
 
6.5%
始 5
 
6.5%
公 4
 
5.2%
大 4
 
5.2%
园 4
 
5.2%
桥 3
 
3.9%
南 3
 
3.9%
岛 2
 
2.6%
Other values (27) 37
48.1%
Common
ValueCountFrequency (%)
26
68.4%
: 9
 
23.7%
： 2
 
5.3%
/ 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
CJK 77
67.0%
ASCII 36
31.3%
None 2
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
72.2%
: 9
 
25.0%
/ 1
 
2.8%
CJK
ValueCountFrequency (%)
开 5
 
6.5%
终 5
 
6.5%
点 5
 
6.5%
始 5
 
6.5%
公 4
 
5.2%
大 4
 
5.2%
园 4
 
5.2%
桥 3
 
3.9%
南 3
 
3.9%
岛 2
 
2.6%
Other values (27) 37
48.1%
None
ValueCountFrequency (%)
： 2
100.0%

비고3
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing65
Missing (%)92.9%
Memory size692.0 B
2023-12-13T02:17:25.134208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length23.8
Min length20

Characters and Unicode

Total characters119
Distinct characters27
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row总长 : 12Km 途径地 : 毛自郞浦 所需时间 : 3小时
2nd row总长 : 8Km 所需时间 : 2小时 30分钟
3rd row总长 : 11Km 所需时间 : 3小时
4th row总长 : 13Km 所需时间 : 3小时30分钟
5th row总长 : 16Km 所需时间 : 4小时
ValueCountFrequency (%)
11
32.4%
总长 5
14.7%
所需时间 5
14.7%
3小时 2
 
5.9%
12km 1
 
2.9%
途径地 1
 
2.9%
毛自郞浦 1
 
2.9%
8km 1
 
2.9%
2小时 1
 
2.9%
30分钟 1
 
2.9%
Other values (5) 5
14.7%
2023-12-13T02:17:25.730513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
24.4%
: 11
 
9.2%
时 10
 
8.4%
3 6
 
5.0%
总 5
 
4.2%
需 5
 
4.2%
所 5
 
4.2%
小 5
 
4.2%
长 5
 
4.2%
间 5
 
4.2%
Other values (17) 33
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51
42.9%
Space Separator 29
24.4%
Decimal Number 18
 
15.1%
Other Punctuation 11
 
9.2%
Lowercase Letter 5
 
4.2%
Uppercase Letter 5
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
时 10
19.6%
总 5
9.8%
需 5
9.8%
所 5
9.8%
小 5
9.8%
长 5
9.8%
间 5
9.8%
分 2
 
3.9%
钟 2
 
3.9%
郞 1
 
2.0%
Other values (6) 6
11.8%
Decimal Number
ValueCountFrequency (%)
3 6
33.3%
1 5
27.8%
0 2
 
11.1%
2 2
 
11.1%
8 1
 
5.6%
6 1
 
5.6%
4 1
 
5.6%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
: 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58
48.7%
Han 51
42.9%
Latin 10
 
8.4%

Most frequent character per script

Han
ValueCountFrequency (%)
时 10
19.6%
总 5
9.8%
需 5
9.8%
所 5
9.8%
小 5
9.8%
长 5
9.8%
间 5
9.8%
分 2
 
3.9%
钟 2
 
3.9%
郞 1
 
2.0%
Other values (6) 6
11.8%
Common
ValueCountFrequency (%)
29
50.0%
: 11
 
19.0%
3 6
 
10.3%
1 5
 
8.6%
0 2
 
3.4%
2 2
 
3.4%
8 1
 
1.7%
6 1
 
1.7%
4 1
 
1.7%
Latin
ValueCountFrequency (%)
m 5
50.0%
K 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
57.1%
CJK 51
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
42.6%
: 11
 
16.2%
3 6
 
8.8%
m 5
 
7.4%
K 5
 
7.4%
1 5
 
7.4%
0 2
 
2.9%
2 2
 
2.9%
8 1
 
1.5%
6 1
 
1.5%
CJK
ValueCountFrequency (%)
时 10
19.6%
总 5
9.8%
需 5
9.8%
所 5
9.8%
小 5
9.8%
长 5
9.8%
间 5
9.8%
分 2
 
3.9%
钟 2
 
3.9%
郞 1
 
2.0%
Other values (6) 6
11.8%

비고4
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing65
Missing (%)92.9%
Memory size692.0 B
2023-12-13T02:17:25.928908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length40
Mean length46.2
Min length23

Characters and Unicode

Total characters231
Distinct characters121
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 row泗川湾海岸路上设有休息区、照相区、泥潭体验区等场所，是一条美丽的海岸徒步旅行路。
2nd row以可以观赏闲丽水道美丽波浪的慕忠公园为始点的实安晚霞路。在这里可以观赏实安海安路上的美丽晚霞，在这儿您可以体会到泗川旅行的真正价值。
3rd row可以尽情观赏南逸台美景的三千浦象路距离鲁山公园、水产市场、游艇、三千浦大桥等泗川的主要观光地不远，可以成为您的一次充实的旅行路线。
4th row从韩国最美丽的树林——大谷树林开始经过莲花盛开的草田公园，到达终点船津里城
5th row作为泗川市地标之一的泗川大桥是这趟旅行的起点。
ValueCountFrequency (%)
泗川湾海岸路上设有休息区、照相区、泥潭体验区等场所，是一条美丽的海岸徒步旅行路。 1
20.0%
以可以观赏闲丽水道美丽波浪的慕忠公园为始点的实安晚霞路。在这里可以观赏实安海安路上的美丽晚霞，在这儿您可以体会到泗川旅行的真正价值。 1
20.0%
可以尽情观赏南逸台美景的三千浦象路距离鲁山公园、水产市场、游艇、三千浦大桥等泗川的主要观光地不远，可以成为您的一次充实的旅行路线。 1
20.0%
从韩国最美丽的树林——大谷树林开始经过莲花盛开的草田公园，到达终点船津里城 1
20.0%
作为泗川市地标之一的泗川大桥是这趟旅行的起点。 1
20.0%
2023-12-13T02:17:26.257410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
的 13
 
5.6%
路 6
 
2.6%
以 6
 
2.6%
泗 5
 
2.2%
美 5
 
2.2%
川 5
 
2.2%
丽 5
 
2.2%
可 5
 
2.2%
。 5
 
2.2%
、 5
 
2.2%
Other values (111) 171
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
93.1%
Other Punctuation 14
 
6.1%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
的 13
 
6.0%
路 6
 
2.8%
以 6
 
2.8%
泗 5
 
2.3%
美 5
 
2.3%
川 5
 
2.3%
丽 5
 
2.3%
可 5
 
2.3%
旅 4
 
1.9%
行 4
 
1.9%
Other values (107) 157
73.0%
Other Punctuation
ValueCountFrequency (%)
。 5
35.7%
、 5
35.7%
， 4
28.6%
Dash Punctuation
ValueCountFrequency (%)
— 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 215
93.1%
Common 16
 
6.9%

Most frequent character per script

Han
ValueCountFrequency (%)
的 13
 
6.0%
路 6
 
2.8%
以 6
 
2.8%
泗 5
 
2.3%
美 5
 
2.3%
川 5
 
2.3%
丽 5
 
2.3%
可 5
 
2.3%
旅 4
 
1.9%
行 4
 
1.9%
Other values (107) 157
73.0%
Common
ValueCountFrequency (%)
。 5
31.2%
、 5
31.2%
， 4
25.0%
— 2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
CJK 215
93.1%
None 14
 
6.1%
Punctuation 2
 
0.9%

Most frequent character per block

CJK
ValueCountFrequency (%)
的 13
 
6.0%
路 6
 
2.8%
以 6
 
2.8%
泗 5
 
2.3%
美 5
 
2.3%
川 5
 
2.3%
丽 5
 
2.3%
可 5
 
2.3%
旅 4
 
1.9%
行 4
 
1.9%
Other values (107) 157
73.0%
None
ValueCountFrequency (%)
。 5
35.7%
、 5
35.7%
， 4
28.6%
Punctuation
ValueCountFrequency (%)
— 2
100.0%

Interactions

2023-12-13T02:17:17.505574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:16.792424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:17.170945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:17.660130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:16.944963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:17.285180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:17.807575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:17.059780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:17:17.389169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:17:26.365723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목내용조회수등록일거리소요 시간부제목위도경도비고1비고2비고3비고4
제목1.0001.0000.0000.7070.9940.8501.0000.9920.9931.0001.0001.0001.000
내용1.0001.0000.0000.7840.9730.0001.0001.0001.0001.0001.0001.0001.000
조회수0.0000.0001.0000.3300.0000.0001.0000.2040.2461.0001.0001.0001.000
등록일0.7070.7840.3301.0000.9660.8961.0000.4410.7291.0001.0001.0001.000
거리0.9940.9730.0000.9661.0000.9961.0001.0001.0001.0001.0001.0001.000
소요 시간0.8500.0000.0000.8960.9961.0001.0000.3720.4931.0001.0001.0001.000
부제목1.0001.0001.0001.0001.0001.0001.0001.0001.000NaNNaNNaNNaN
위도0.9921.0000.2040.4411.0000.3721.0001.0000.7631.0001.0001.0001.000
경도0.9931.0000.2460.7291.0000.4931.0000.7631.0001.0001.0001.0001.000
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
2023-12-13T02:17:26.507557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조회수위도경도소요 시간
조회수1.0000.2300.1290.000
위도0.2301.000-0.2740.073
경도0.129-0.2741.0000.135
소요 시간0.0000.0730.1351.000

Missing values

2023-12-13T02:17:18.001935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:17:18.287541image/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.
2023-12-13T02:17:18.555242image/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
0龙头公园卧龙贮水池下的自然生态休闲公园龙头公园龙头公园是卧龙山登山者及市民的休息、休闲公园。公园内种有扁柏，设有森林浴场、草坪广场、体育广场、散步路等。可以充分满足登山者和市民们对健康的追求。如今，公园已经成为了当地居民的休闲娱乐场所。1822013-05-07每年5月份的卧龙山踯躅山行活动也很出名。4.21km11分钟在卧龙山脚下享受清闲，在水产市场品尝新鲜的海鲜，接下来就是三千浦大桥了。三千浦大桥的飒爽风姿和海岸路上广阔的风景正准备迎接诸位的到来。34.957686128.092263<NA><NA><NA><NA>
1三千浦水产市场俗话说就算是金刚山也得吃饱了饭再去。来泗川就一定要尝一尝新鲜活鱼的味道。三千浦水产市场又叫三千浦西部市场。在这里与其他传统市场一样，可以买到附近农村种植的蔬菜水果，也可以品尝活鱼、贝类、鲜鱼、干鱼等水产品后再购买。762013-05-07<NA>1.93km5分钟<NA>34.927869128.072733<NA><NA><NA><NA>
2大芳镇掘港画在平静水面上的画！大芳镇掘港是高丽时代为抵御倭寇对沿岸的频繁侵略而修建的人工港口。在港口外部看不到内部的情况，以此结构作为当时的军事基地。掘港墨绿色平静的水面上倒映着百年朴树的影子，仿佛是在美丽的绸缎上画出的山水画一样。572013-05-07<NA>876m2分钟<NA>34.929045128.056815<NA><NA><NA><NA>
3三千浦大桥公园是位于昌善三千浦大桥入口的公园。公园内有特产销售店、露天舞台、观光咨询处等设施，也有超大型游艇丽闲水道号的码头。这是一处年客流量10万人次的观光旅游胜地。672013-05-07<NA>1.26km2分钟<NA>34.932469128.052127<NA><NA><NA><NA>
4实安海岸路（落日）实安海岸路上有海岸的绝景、波光荡漾的蔚蓝的大海、细密的海岸线等秀丽无比的自然景观。这里的晚霞也是一道无可比拟的美丽景观。532013-05-07<NA><NA><NA><NA>34.939526128.042147<NA><NA><NA><NA>
5南逸台象石像大象喝水一样的风景！南逸台的象石象石的鼻子与身体间有一处天然洞窟，海浪在此涌上来又退下去。海浪长年累月地携带的贝壳、蚌壳、砂砾风化成乳白色堆积在此。672013-05-07<NA>927m6分钟可以尽情观赏美丽大海的新树岛旅行！南逸台的灵秀景色、“韩国十大最佳名岛”之一的新树岛，在这里您可以尽情享受自然之美。34.924096128.0972<NA><NA><NA><NA>
6南逸台海水浴场位于距市中心3.5km的香村洞有一处南方景色最美的地方南逸台海水浴场。南逸台这个名字是新罗时代末期的大学者孤云崔致远先生游玩至此，被这里的风景所吸引而起的。572013-05-07<NA>4.4km14分钟<NA>34.927096128.097562<NA><NA><NA><NA>
7新树岛被评选为韩国十大最佳名岛的新树岛是泗川的6个有人岛中最大的岛屿，以前被称作沈水岛。新树岛周边有五十个大大小小的岛屿，组合成一个头盖骨的形象，所以有段时期这里被称作神头岛，后来才被改成了现在的名称新树岛。岛周围的海上插着密密的竹篱形成了一道特别的景观映入眼帘。这便是原始的捕鱼手段竹防簾。是利用涨潮和退潮的潮差进行捕鱼、只能在海浪湍急的沿海才能使用的捕鱼方式。492013-05-07<NA><NA><NA><NA>34.903482128.074482<NA><NA><NA><NA>
8泗川尖端航空宇宙科学馆激发航空航天科学思想的宇宙之旅！位于航空航天产业城市泗川市的泗川尖端航空宇宙科学馆于2013年3月份正式开馆运营。这是韩国最大的航空航天科学馆，为韩国的航空航天科学注入了无限的梦想与想象力。科学馆设有常设展示馆、4D立体影像馆、规划展示厅、露天展示馆等。展示厅分为思维的发现、新再生能源、航空体验宇宙探险、宇宙之旅等5大主题区。522013-05-07<NA>4.94km10分钟今年正式开馆的尖端航空宇宙科学馆可以培养孩子们的梦想和想象力；走在泗川湾海岸路上可以欣赏美丽的自然景观，制定一次充实的旅行计划怎么样呢？35.070521128.064124<NA><NA><NA><NA>
9船津里城樱花竞相开放时美丽无比的船津里城泗川的船津里城是壬辰倭乱时期入侵的倭军为准备据点而修建的日本式城郭。所以，也有人称这里为船津里倭城。如今，低缓的山坡上只能辨认出城郭的痕迹。到了春天，城周围的樱花竞相开放，仿佛欲掩盖过去的伤口一样迎接着各地的游客。/樱花竞相开放时船津里城便形成一幅美丽无比的景象！522013-05-07<NA>1.96km4分钟<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.122013-06-10<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>
62泗川大桥作为泗川市地标之一的泗川大桥是这趟旅行的起点。 走在长长的泗川大桥看，看着桥下广阔的海水心情也变得畅快起来。眺望远方，除了这条路再也望不见其他的路，这种简单也使得心灵得到了放松。312013-06-13<NA>2.45km7分钟<NA>35.002112128.029605兔子和乌龟路开始 : 泗川大桥 终点 : 龟岛总长 : 16Km 所需时间 : 4小时作为泗川市地标之一的泗川大桥是这趟旅行的起点。
63泗川大桥休息处走过泗川大桥首先映入眼帘的是泗川大桥休息处。跨过了泗川大桥来到这里喘口气、歇歇脚。其他徒步旅行的游客或者登山者来到这里稍作休息，仿佛这里是另一处聚会广场一样。222013-06-13<NA>1.48km4分钟<NA>35.004177128.018768<NA><NA><NA><NA>
64港口村港口村前面的休闲场地上开满了油菜花,景色壮丽。油菜花实在4月中旬到5月中旬一个月的时间内开放，植株高约1m，椭圆形的绿叶和鲜黄的花一簇一簇地成为了春天具有代表性的花。在这里可以观赏到横跨清澈泗川湾的泗川大桥全景，更为这美丽的风景添了漂亮的一笔。252013-06-13<NA>5km10分钟<NA>34.997343128.009078<NA><NA><NA><NA>
65船舱村从港口村沿着旧坪里、西浦就可以来到船舱村。走进充满大海气息的船舱村中，悠闲停泊的船正在等待着游客的到来。这里有渔村中随处可见的安宁景象，经过这里朝着飞兔桥前进。172013-06-13<NA>1.54km4分钟<NA>34.996022127.974791<NA><NA><NA><NA>
66飞兔桥连接西浦面南部和飞兔岛西部边缘的桥——飞兔桥，过了桥之后便可以看到西浦面和飞兔岛间泥滩的一角了。有名的西浦牡蛎就生长在这里。这里的人们对西浦牡蛎有着超强的自信心，说即使西浦牡蛎卖得不如统营牡蛎多，质量也会比统营的好。沿着海岸路吹着凉爽的海风，让我们去下一个景点吧。162013-06-13<NA>0.4km1分钟<NA>34.98498127.967498<NA><NA><NA><NA>
67鸟村休息处走过飞兔桥可以暂时休息会的鸟村休息处 在开满鲜花的鸟村休息处稍作休息 然后向着下一个景点出发。162013-06-13<NA>2.4km7分钟<NA>34.98123127.965229<NA><NA><NA><NA>
68章鱼浦村美丽的大海边的章鱼浦村！来到飞兔里章鱼浦就可以感受到四溢的大海气息。野生牡蛎盛产地——飞兔岛的生牡蛎在韩国非常出名。在清澈海域生长的牡蛎绵香肉厚。走过大海气息四溢的章鱼浦，最后一站月登岛已经在等着我们了。172013-06-13<NA>2.09km5分钟<NA>34.969953127.9715<NA><NA><NA><NA>
69月登岛兔子和乌龟路的最后一站是充满鼈主簿传传说的月登岛！乌龟为了寻找第一只兔子而到达的陆地——月登岛。月登岛上有鼈主簿传的传说，并且为了告知世人这里是鼈主簿的故乡而在处处做着努力。到达月登岛前海的兔子看见月光下月登岛的影子，急急忙忙地跳了下去，结果在海里淹死了。就在兔子淹死的地方长出了一座兔子模样的岛屿，所以直到现在这座岛也被称作兔子岛。月登岛的右侧有龟岛，这就是几乎与乌龟形象一模一样的龟岛。飞兔岛作为一个够格的鼈主簿传中传说的岛同时拥有了兔子岛和龟岛。182013-06-13<NA><NA><NA><NA>34.974354127.996199<NA><NA><NA><NA>