Overview

Dataset statistics

Number of variables11
Number of observations22
Missing cells23
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory94.0 B

Variable types

Text7
Categorical4

Dataset

Description강원고 폭포(폭포명, 주소, 전화번호 등)
Author강원도
URLhttps://www.data.go.kr/data/3044753/fileData.do

Alerts

장애인시설 has constant value ""Constant
추천계절 is highly overall correlated with 휴무일 and 2 other fieldsHigh correlation
휴무일 is highly overall correlated with 이용시간 and 1 other fieldsHigh correlation
이용시간 is highly overall correlated with 휴무일 and 1 other fieldsHigh correlation
주차시설 is highly overall correlated with 추천계절High correlation
추천계절 is highly imbalanced (56.1%)Imbalance
전화번호 has 1 (4.5%) missing valuesMissing
차별적특징 has 1 (4.5%) missing valuesMissing
장애인시설 has 21 (95.5%) missing valuesMissing
계곡명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:19:06.021015
Analysis finished2023-12-12 15:19:06.996844
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T00:19:07.116690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters23
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

Unique4 ?
Unique (%)18.2%

Sample

1st row동해시
2nd row춘천시
3rd row태백시
4th row태백시
5th row철원군
ValueCountFrequency (%)
춘천시 3
13.6%
양양군 3
13.6%
동해시 2
9.1%
태백시 2
9.1%
철원군 2
9.1%
양구군 2
9.1%
정선군 2
9.1%
속초시 2
9.1%
홍천군 1
 
4.5%
영월군 1
 
4.5%
Other values (2) 2
9.1%
2023-12-13T00:19:07.641739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 12
18.2%
시 10
15.2%
양 8
12.1%
천 4
 
6.1%
춘 3
 
4.5%
원 2
 
3.0%
초 2
 
3.0%
속 2
 
3.0%
선 2
 
3.0%
정 2
 
3.0%
Other values (13) 19
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 12
18.2%
시 10
15.2%
양 8
12.1%
천 4
 
6.1%
춘 3
 
4.5%
원 2
 
3.0%
초 2
 
3.0%
속 2
 
3.0%
선 2
 
3.0%
정 2
 
3.0%
Other values (13) 19
28.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 12
18.2%
시 10
15.2%
양 8
12.1%
천 4
 
6.1%
춘 3
 
4.5%
원 2
 
3.0%
초 2
 
3.0%
속 2
 
3.0%
선 2
 
3.0%
정 2
 
3.0%
Other values (13) 19
28.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 12
18.2%
시 10
15.2%
양 8
12.1%
천 4
 
6.1%
춘 3
 
4.5%
원 2
 
3.0%
초 2
 
3.0%
속 2
 
3.0%
선 2
 
3.0%
정 2
 
3.0%
Other values (13) 19
28.8%

계곡명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T00:19:07.938206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length5
Min length3

Characters and Unicode

Total characters110
Distinct characters50
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row용추폭포
2nd row등선폭포
3rd row비와야폭포
4th row연화폭포
5th row매월대폭포
ValueCountFrequency (%)
오색 2
 
7.1%
용소폭포 2
 
7.1%
등선폭포 1
 
3.6%
쌍폭포 1
 
3.6%
육담폭포 1
 
3.6%
대승폭포 1
 
3.6%
오장폭포 1
 
3.6%
백석폭포 1
 
3.6%
이끼폭포 1
 
3.6%
무건리 1
 
3.6%
Other values (16) 16
57.1%
2023-12-13T00:19:08.346084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폭 22
20.0%
포 22
20.0%
6
 
5.5%
용 3
 
2.7%
오 3
 
2.7%
소 3
 
2.7%
비 2
 
1.8%
색 2
 
1.8%
연 2
 
1.8%
월 2
 
1.8%
Other values (40) 43
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
94.5%
Space Separator 6
 
5.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폭 22
21.2%
포 22
21.2%
용 3
 
2.9%
오 3
 
2.9%
소 3
 
2.9%
비 2
 
1.9%
색 2
 
1.9%
연 2
 
1.9%
월 2
 
1.9%
대 2
 
1.9%
Other values (39) 41
39.4%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
94.5%
Common 6
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폭 22
21.2%
포 22
21.2%
용 3
 
2.9%
오 3
 
2.9%
소 3
 
2.9%
비 2
 
1.9%
색 2
 
1.9%
연 2
 
1.9%
월 2
 
1.9%
대 2
 
1.9%
Other values (39) 41
39.4%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
94.5%
ASCII 6
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폭 22
21.2%
포 22
21.2%
용 3
 
2.9%
오 3
 
2.9%
소 3
 
2.9%
비 2
 
1.9%
색 2
 
1.9%
연 2
 
1.9%
월 2
 
1.9%
대 2
 
1.9%
Other values (39) 41
39.4%
ASCII
ValueCountFrequency (%)
6
100.0%

도로명주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T00:19:08.663297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length16.863636
Min length10

Characters and Unicode

Total characters371
Distinct characters83
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row강원도 동해시 삼화로 538
2nd row강원도 춘천시 서면 경춘로
3rd row강원도 태백시 양지길 25
4th row강원도 태백시 태백로 1283
5th row강원도 철원군 근남면 잠곡리 222-5
ValueCountFrequency (%)
강원도 18
 
18.0%
산 4
 
4.0%
강원 4
 
4.0%
춘천시 3
 
3.0%
서면 3
 
3.0%
양양군 3
 
3.0%
철원군 2
 
2.0%
속초시 2
 
2.0%
정선군 2
 
2.0%
동해시 2
 
2.0%
Other values (52) 57
57.0%
2023-12-13T00:19:09.126589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
21.0%
원 24
 
6.5%
강 23
 
6.2%
도 19
 
5.1%
면 13
 
3.5%
군 12
 
3.2%
리 11
 
3.0%
시 10
 
2.7%
양 9
 
2.4%
2 8
 
2.2%
Other values (73) 164
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
66.8%
Space Separator 78
 
21.0%
Decimal Number 41
 
11.1%
Dash Punctuation 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
 
9.7%
강 23
 
9.3%
도 19
 
7.7%
면 13
 
5.2%
군 12
 
4.8%
리 11
 
4.4%
시 10
 
4.0%
양 9
 
3.6%
산 8
 
3.2%
동 6
 
2.4%
Other values (63) 113
45.6%
Decimal Number
ValueCountFrequency (%)
2 8
19.5%
3 8
19.5%
5 7
17.1%
4 6
14.6%
8 5
12.2%
1 4
9.8%
6 2
 
4.9%
7 1
 
2.4%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
66.8%
Common 123
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
 
9.7%
강 23
 
9.3%
도 19
 
7.7%
면 13
 
5.2%
군 12
 
4.8%
리 11
 
4.4%
시 10
 
4.0%
양 9
 
3.6%
산 8
 
3.2%
동 6
 
2.4%
Other values (63) 113
45.6%
Common
ValueCountFrequency (%)
78
63.4%
2 8
 
6.5%
3 8
 
6.5%
5 7
 
5.7%
4 6
 
4.9%
8 5
 
4.1%
- 4
 
3.3%
1 4
 
3.3%
6 2
 
1.6%
7 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
66.8%
ASCII 123
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
63.4%
2 8
 
6.5%
3 8
 
6.5%
5 7
 
5.7%
4 6
 
4.9%
8 5
 
4.1%
- 4
 
3.3%
1 4
 
3.3%
6 2
 
1.6%
7 1
 
0.8%
Hangul
ValueCountFrequency (%)
원 24
 
9.7%
강 23
 
9.3%
도 19
 
7.7%
면 13
 
5.2%
군 12
 
4.8%
리 11
 
4.4%
시 10
 
4.0%
양 9
 
3.6%
산 8
 
3.2%
동 6
 
2.4%
Other values (63) 113
45.6%

전화번호
Text

MISSING 

Distinct16
Distinct (%)76.2%
Missing1
Missing (%)4.5%
Memory size308.0 B
2023-12-13T00:19:09.355212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length12.238095
Min length9

Characters and Unicode

Total characters257
Distinct characters26
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

Unique11 ?
Unique (%)52.4%

Sample

1st row033-534-7306
2nd row033-262-2215
3rd row033-550-2828
4th row033-550-208
5th row033-450-5365
ValueCountFrequency (%)
033-801-0900 2
 
9.1%
033-480-2251 2
 
9.1%
033-672-2883 2
 
9.1%
033-450-5365 2
 
9.1%
1544-9053 2
 
9.1%
033-241-9251 1
 
4.5%
033-534-7306 1
 
4.5%
1577-0545 1
 
4.5%
장수대분소 1
 
4.5%
033-801-0985(설악산국림공원 1
 
4.5%
Other values (7) 7
31.8%
2023-12-13T00:19:10.069077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 51
19.8%
0 45
17.5%
- 39
15.2%
5 28
10.9%
2 20
 
7.8%
8 14
 
5.4%
4 13
 
5.1%
1 11
 
4.3%
6 8
 
3.1%
9 7
 
2.7%
Other values (16) 21
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 203
79.0%
Dash Punctuation 39
 
15.2%
Other Letter 12
 
4.7%
Space Separator 1
 
0.4%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1
8.3%
소 1
8.3%
분 1
8.3%
대 1
8.3%
수 1
8.3%
장 1
8.3%
악 1
8.3%
공 1
8.3%
림 1
8.3%
국 1
8.3%
Other values (2) 2
16.7%
Decimal Number
ValueCountFrequency (%)
3 51
25.1%
0 45
22.2%
5 28
13.8%
2 20
 
9.9%
8 14
 
6.9%
4 13
 
6.4%
1 11
 
5.4%
6 8
 
3.9%
9 7
 
3.4%
7 6
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 245
95.3%
Hangul 12
 
4.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 51
20.8%
0 45
18.4%
- 39
15.9%
5 28
11.4%
2 20
 
8.2%
8 14
 
5.7%
4 13
 
5.3%
1 11
 
4.5%
6 8
 
3.3%
9 7
 
2.9%
Other values (4) 9
 
3.7%
Hangul
ValueCountFrequency (%)
원 1
8.3%
소 1
8.3%
분 1
8.3%
대 1
8.3%
수 1
8.3%
장 1
8.3%
악 1
8.3%
공 1
8.3%
림 1
8.3%
국 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245
95.3%
Hangul 12
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 51
20.8%
0 45
18.4%
- 39
15.9%
5 28
11.4%
2 20
 
8.2%
8 14
 
5.7%
4 13
 
5.3%
1 11
 
4.5%
6 8
 
3.3%
9 7
 
2.9%
Other values (4) 9
 
3.7%
Hangul
ValueCountFrequency (%)
원 1
8.3%
소 1
8.3%
분 1
8.3%
대 1
8.3%
수 1
8.3%
장 1
8.3%
악 1
8.3%
공 1
8.3%
림 1
8.3%
국 1
8.3%
Other values (2) 2
16.7%

차별적특징
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size308.0 B
2023-12-13T00:19:10.435242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length26
Mean length22.714286
Min length7

Characters and Unicode

Total characters477
Distinct characters169
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row물줄기가 상, 중, 하 3개의 항아리 모양의 깊은 바위용소로 되어 있음
2nd row삼악산 입구 협곡 속에 있는 높이 10m의 폭포
3rd row겨울이 되면 40M의 빙폭형성
4th row높이 48.9m, 폭 10m
5th row선암폭포라고도 불리며 철원 8경의 하나인 폭포
ValueCountFrequency (%)
폭포 5
 
4.1%
높이는 2
 
1.7%
높이 2
 
1.7%
중 2
 
1.7%
약 2
 
1.7%
떨어지는 2
 
1.7%
하여 2
 
1.7%
붙여진 2
 
1.7%
이름 2
 
1.7%
청평사 1
 
0.8%
Other values (99) 99
81.8%
2023-12-13T00:19:11.016162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
21.0%
이 18
 
3.8%
폭 16
 
3.4%
포 13
 
2.7%
는 10
 
2.1%
하 8
 
1.7%
의 8
 
1.7%
여 7
 
1.5%
m 7
 
1.5%
, 7
 
1.5%
Other values (159) 283
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
70.6%
Space Separator 100
 
21.0%
Decimal Number 21
 
4.4%
Other Punctuation 8
 
1.7%
Lowercase Letter 7
 
1.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 18
 
5.3%
폭 16
 
4.7%
포 13
 
3.9%
는 10
 
3.0%
하 8
 
2.4%
의 8
 
2.4%
여 7
 
2.1%
로 6
 
1.8%
가 5
 
1.5%
높 5
 
1.5%
Other values (142) 241
71.5%
Decimal Number
ValueCountFrequency (%)
0 6
28.6%
1 3
14.3%
8 3
14.3%
3 3
14.3%
4 2
 
9.5%
7 1
 
4.8%
9 1
 
4.8%
6 1
 
4.8%
5 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
100
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
70.4%
Common 132
 
27.7%
Latin 8
 
1.7%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 18
 
5.4%
폭 16
 
4.8%
포 13
 
3.9%
는 10
 
3.0%
하 8
 
2.4%
의 8
 
2.4%
여 7
 
2.1%
로 6
 
1.8%
가 5
 
1.5%
높 5
 
1.5%
Other values (141) 240
71.4%
Common
ValueCountFrequency (%)
100
75.8%
, 7
 
5.3%
0 6
 
4.5%
1 3
 
2.3%
8 3
 
2.3%
3 3
 
2.3%
4 2
 
1.5%
7 1
 
0.8%
) 1
 
0.8%
( 1
 
0.8%
Other values (5) 5
 
3.8%
Latin
ValueCountFrequency (%)
m 7
87.5%
M 1
 
12.5%
Han
ValueCountFrequency (%)
沼 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
70.4%
ASCII 140
29.4%
CJK 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
71.4%
m 7
 
5.0%
, 7
 
5.0%
0 6
 
4.3%
1 3
 
2.1%
8 3
 
2.1%
3 3
 
2.1%
4 2
 
1.4%
7 1
 
0.7%
) 1
 
0.7%
Other values (7) 7
 
5.0%
Hangul
ValueCountFrequency (%)
이 18
 
5.4%
폭 16
 
4.8%
포 13
 
3.9%
는 10
 
3.0%
하 8
 
2.4%
의 8
 
2.4%
여 7
 
2.1%
로 6
 
1.8%
가 5
 
1.5%
높 5
 
1.5%
Other values (141) 240
71.4%
CJK
ValueCountFrequency (%)
沼 1
100.0%

휴무일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
연중개방
14 
<NA>
7 
연중무휴
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
연중개방 14
63.6%
<NA> 7
31.8%
연중무휴 1
 
4.5%

Length

2023-12-13T00:19:11.197799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:19:11.316792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연중개방 14
63.6%
na 7
31.8%
연중무휴 1
 
4.5%

이용시간
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
상시이용 가능
16 
06:00~18:00
 
1
상시이용가능
 
1
입산시간제한> 동절기 4~12시 / 하절기 3~13시
 
1
<NA>
 
1
Other values (2)
2 

Length

Max length79
Median length7
Mean length11.136364
Min length4

Unique

Unique6 ?
Unique (%)27.3%

Sample

1st row06:00~18:00
2nd row상시이용 가능
3rd row상시이용 가능
4th row상시이용가능
5th row상시이용 가능

Common Values

ValueCountFrequency (%)
상시이용 가능 16
72.7%
06:00~18:00 1
 
4.5%
상시이용가능 1
 
4.5%
입산시간제한> 동절기 4~12시 / 하절기 3~13시 1
 
4.5%
<NA> 1
 
4.5%
평시 : 09:00 ~ 18:00, 여름성수기(7월~8월) : 06:00 ~ 20:00, 동절기(11월 ~ 2월) : 08:00 ~ 17:00 1
 
4.5%
24시간 1
 
4.5%

Length

2023-12-13T00:19:11.437855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:19:11.589163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상시이용 16
27.1%
가능 16
27.1%
8
13.6%
09:00 1
 
1.7%
17:00 1
 
1.7%
08:00 1
 
1.7%
2월 1
 
1.7%
동절기(11월 1
 
1.7%
20:00 1
 
1.7%
06:00 1
 
1.7%
Other values (12) 12
20.3%

주차시설
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
주차 가능
15 
<NA>
5 
대략 100여대
 
1
대략 200여대
 
1

Length

Max length8
Median length5
Mean length5.0454545
Min length4

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row주차 가능
2nd row대략 100여대
3rd row<NA>
4th row<NA>
5th row주차 가능

Common Values

ValueCountFrequency (%)
주차 가능 15
68.2%
<NA> 5
 
22.7%
대략 100여대 1
 
4.5%
대략 200여대 1
 
4.5%

Length

2023-12-13T00:19:11.737837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:19:11.859212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차 15
38.5%
가능 15
38.5%
na 5
 
12.8%
대략 2
 
5.1%
100여대 1
 
2.6%
200여대 1
 
2.6%

장애인시설
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing21
Missing (%)95.5%
Memory size308.0 B
2023-12-13T00:19:11.993075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters7
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

Unique1 ?
Unique (%)100.0%

Sample

1st row장애인화장실설치
ValueCountFrequency (%)
장애인화장실설치 1
100.0%
2023-12-13T00:19:12.251901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2
25.0%
애 1
12.5%
인 1
12.5%
화 1
12.5%
실 1
12.5%
설 1
12.5%
치 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2
25.0%
애 1
12.5%
인 1
12.5%
화 1
12.5%
실 1
12.5%
설 1
12.5%
치 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2
25.0%
애 1
12.5%
인 1
12.5%
화 1
12.5%
실 1
12.5%
설 1
12.5%
치 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2
25.0%
애 1
12.5%
인 1
12.5%
화 1
12.5%
실 1
12.5%
설 1
12.5%
치 1
12.5%

주변명소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T00:19:12.484854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length17.454545
Min length3

Characters and Unicode

Total characters384
Distinct characters126
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row삼화사, 두타산, 무릉계곡
2nd row삼악산, 공지천, 애니메이션박물관
3rd row석탄박물관, 구문소, 용연동굴
4th row당골계곡, 태백체험공원, 청옥산자연휴양림
5th row산정호수, 용담계곡, 제2땅굴
ValueCountFrequency (%)
하조대 3
 
4.3%
청평사 2
 
2.9%
양양오토캠핑장 2
 
2.9%
삼악산 2
 
2.9%
남애항 2
 
2.9%
설악산 2
 
2.9%
숙암계곡 1
 
1.4%
신리민속마을 1
 
1.4%
도계유리마을 1
 
1.4%
하이원추추파크 1
 
1.4%
Other values (53) 53
75.7%
2023-12-13T00:19:12.860190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
12.5%
, 42
 
10.9%
산 13
 
3.4%
계 12
 
3.1%
곡 12
 
3.1%
양 7
 
1.8%
대 6
 
1.6%
사 6
 
1.6%
백 6
 
1.6%
수 5
 
1.3%
Other values (116) 227
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
75.8%
Space Separator 48
 
12.5%
Other Punctuation 42
 
10.9%
Decimal Number 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 13
 
4.5%
계 12
 
4.1%
곡 12
 
4.1%
양 7
 
2.4%
대 6
 
2.1%
사 6
 
2.1%
백 6
 
2.1%
수 5
 
1.7%
관 5
 
1.7%
구 5
 
1.7%
Other values (112) 214
73.5%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
75.8%
Common 93
 
24.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 13
 
4.5%
계 12
 
4.1%
곡 12
 
4.1%
양 7
 
2.4%
대 6
 
2.1%
사 6
 
2.1%
백 6
 
2.1%
수 5
 
1.7%
관 5
 
1.7%
구 5
 
1.7%
Other values (112) 214
73.5%
Common
ValueCountFrequency (%)
48
51.6%
, 42
45.2%
2 2
 
2.2%
1 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
75.8%
ASCII 93
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
51.6%
, 42
45.2%
2 2
 
2.2%
1 1
 
1.1%
Hangul
ValueCountFrequency (%)
산 13
 
4.5%
계 12
 
4.1%
곡 12
 
4.1%
양 7
 
2.4%
대 6
 
2.1%
사 6
 
2.1%
백 6
 
2.1%
수 5
 
1.7%
관 5
 
1.7%
구 5
 
1.7%
Other values (112) 214
73.5%

추천계절
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
사계절
20 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0909091
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사계절 20
90.9%
<NA> 2
 
9.1%

Length

2023-12-13T00:19:12.994825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:19:13.091591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사계절 20
90.9%
na 2
 
9.1%

Correlations

2023-12-13T00:19:13.162702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명계곡명도로명주소전화번호차별적특징휴무일이용시간주차시설주변명소
시군명1.0001.0001.0001.0001.0000.0000.9100.0001.000
계곡명1.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0000.9011.0000.0000.0001.0000.983
전화번호1.0001.0000.9011.0001.0001.0001.0001.0001.000
차별적특징1.0001.0001.0001.0001.0001.0001.0001.0001.000
휴무일0.0001.0000.0001.0001.0001.0001.0000.0001.000
이용시간0.9101.0000.0001.0001.0001.0001.0000.0001.000
주차시설0.0001.0001.0001.0001.0000.0000.0001.0001.000
주변명소1.0001.0000.9831.0001.0001.0001.0001.0001.000
2023-12-13T00:19:13.272485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추천계절휴무일이용시간주차시설
추천계절1.0001.0001.0001.000
휴무일1.0001.0000.8770.000
이용시간1.0000.8771.0000.000
주차시설1.0000.0000.0001.000
2023-12-13T00:19:13.361251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무일이용시간주차시설추천계절
휴무일1.0000.8770.0001.000
이용시간0.8771.0000.0001.000
주차시설0.0000.0001.0001.000
추천계절1.0001.0001.0001.000

Missing values

2023-12-13T00:19:06.592430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:19:06.759672image/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.
2023-12-13T00:19:06.905181image/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

시군명계곡명도로명주소전화번호차별적특징휴무일이용시간주차시설장애인시설주변명소추천계절
0동해시용추폭포강원도 동해시 삼화로 538033-534-7306물줄기가 상, 중, 하 3개의 항아리 모양의 깊은 바위용소로 되어 있음연중개방06:00~18:00주차 가능<NA>삼화사, 두타산, 무릉계곡사계절
1춘천시등선폭포강원도 춘천시 서면 경춘로033-262-2215삼악산 입구 협곡 속에 있는 높이 10m의 폭포연중개방상시이용 가능대략 100여대<NA>삼악산, 공지천, 애니메이션박물관사계절
2태백시비와야폭포강원도 태백시 양지길 25033-550-2828겨울이 되면 40M의 빙폭형성연중개방상시이용 가능<NA><NA>석탄박물관, 구문소, 용연동굴사계절
3태백시연화폭포강원도 태백시 태백로 1283033-550-208높이 48.9m, 폭 10m연중개방상시이용가능<NA><NA>당골계곡, 태백체험공원, 청옥산자연휴양림사계절
4철원군매월대폭포강원도 철원군 근남면 잠곡리 222-5033-450-5365선암폭포라고도 불리며 철원 8경의 하나인 폭포연중개방상시이용 가능주차 가능<NA>산정호수, 용담계곡, 제2땅굴사계절
5춘천시구곡폭포강원도 춘천시 남산면 강촌구곡길 254033-250-3569아홉 굽이를 돌아서 떨어지는 폭포라 하여 붙여진 이름연중개방상시이용 가능대략 200여대장애인화장실설치강촌유원지, 삼악산, 등선폭포사계절
6양구군직연폭포강원도 양구군 방산면 장평리033-480-2251주변에 인공폭포와 산책로, 생태연못을 조성연중개방상시이용 가능<NA><NA>양구백자박물관, 두타연계곡, 백석산지구 전투전적비사계절
7철원군직탕폭포강원도 철원군 동송읍 장흥리033-450-5365높이는 3m, 너비는 50~60m연중개방상시이용 가능<NA><NA>금성지구전투전적비, 한탄강, 순담계곡사계절
8양구군팔랑폭포강원도 양구군 동면 팔랑리033-480-2251높지는 않지만 수량이 풍부하여 시원스러움을 자랑함연중개방상시이용 가능주차 가능<NA>두타연, 양구선사박물관, 박수근미술관사계절
9홍천군홍천 가령폭포강원도 홍천군 내촌면 아홉사리로 1853033-433-3003개령폭포라고도 불리움연중개방상시이용 가능주차 가능<NA>공작산, 수타사, 홍천강사계절
시군명계곡명도로명주소전화번호차별적특징휴무일이용시간주차시설장애인시설주변명소추천계절
12양양군오색 치마폭포강원 양양군 서면 오색리 산 34033-672-2883폭포가 흐르는 모양이 치마폭을 펼쳐 놓은 듯하다 하여 붙여진 이름연중개방상시이용 가능주차 가능<NA>하조대, 남애항, 양양오토캠핑장사계절
13영월군영월군 용소폭포강원 영월군 영월읍 연하리 산 43-31577-0545수목이 울창하여 여름철에 피서지로 유명함<NA>상시이용 가능주차 가능<NA>별마로 천문대, 봉래산, 청령포사계절
14춘천시구송폭포강원도 춘천시 북산면 오봉산길 674033-241-9251청평사 근처에 위치<NA>상시이용 가능주차 가능<NA>오봉산, 청평사, 청평사 계곡사계절
15삼척시무건리 이끼폭포강원도 삼척시 도계읍 무건리 산 86-1033-570-3546이끼가 깔려있는 신비한 분위기의 폭포<NA>상시이용 가능<NA><NA>하이원추추파크, 도계유리마을, 신리민속마을사계절
16정선군백석폭포강원도 정선군 북평면 오대천로 4121544-9053드라이브 코스로도 널리 알려짐<NA>상시이용 가능주차 가능<NA>숙암계곡, 백석봉, 항골계곡사계절
17정선군오장폭포강원 정선군 여량면 구절리 산 2-31544-9053가파르게 수려한 암벽을 따라 떨어지는 물줄기의 큰 낙차와 시원스러움이 압권<NA>상시이용 가능주차 가능<NA>노추산, 정선 레일바이크, 아우라지사계절
18인제군대승폭포강원도 인제군 북면 한계리033-801-0985(설악산국림공원 장수대분소)구룡폭포, 박연폭포와 함께 한국 3대 폭포 중 하나로 꼽힌다연중개방입산시간제한> 동절기 4~12시 / 하절기 3~13시주차 가능<NA>12선녀탕계곡, 백담사, 백담계곡사계절
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20동해시쌍폭포강원도 동해시 삼화로 538033-530-2802전국8대 폭포연중무휴평시 : 09:00 ~ 18:00, 여름성수기(7월~8월) : 06:00 ~ 20:00, 동절기(11월 ~ 2월) : 08:00 ~ 17:00주차 가능<NA>추암촛대바위, 망상해수욕장, 천곡동굴<NA>
21속초시비룡폭포강원 속초시 설악동033-801-0900속초 비룡폭포<NA>24시간주차 가능<NA>설악산<NA>