Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory62.1 B

Variable types

Text2
Categorical4
DateTime1

Dataset

Description강원도 평창군 계곡별 깊이 현황에 대한 데이터로 계곡 구역명, 주소, 계곡수심(깊은곳), 계곡수심(평균), 관리기관, 연락처의 항목에 대한 데이터를 제공합니다.
Author강원도 평창군
URLhttps://www.data.go.kr/data/15102796/fileData.do

Alerts

관리기관 has constant value ""Constant
연락처 has constant value ""Constant
데이터기준일 has constant value ""Constant
계곡 수심(깊은곳) is highly overall correlated with 계곡 수심(평균)High correlation
계곡 수심(평균) is highly overall correlated with 계곡 수심(깊은곳)High correlation
구역명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 16:33:04.078448
Analysis finished2024-04-21 16:33:04.986433
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구역명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-22T01:33:05.509752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.5238095
Min length3

Characters and Unicode

Total characters95
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
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 row평창강변
2nd row유동둔치
3rd row천동보
4th row응암강변
5th row도돈강변1
ValueCountFrequency (%)
평창강변 1
 
4.5%
유동둔치 1
 
4.5%
막동계곡 1
 
4.5%
오대천 1
 
4.5%
흥정계곡3 1
 
4.5%
흥정계곡2 1
 
4.5%
흥정계곡1 1
 
4.5%
금당계곡3 1
 
4.5%
금당계곡2 1
 
4.5%
금당계곡1 1
 
4.5%
Other values (12) 12
54.5%
2024-04-22T01:33:06.610363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
계 10
 
10.5%
곡 10
 
10.5%
강 6
 
6.3%
변 6
 
6.3%
2 4
 
4.2%
동 4
 
4.2%
당 4
 
4.2%
1 4
 
4.2%
천 3
 
3.2%
정 3
 
3.2%
Other values (30) 41
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
87.4%
Decimal Number 10
 
10.5%
Space Separator 1
 
1.1%
Other Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 10
 
12.0%
곡 10
 
12.0%
강 6
 
7.2%
변 6
 
7.2%
동 4
 
4.8%
당 4
 
4.8%
천 3
 
3.6%
정 3
 
3.6%
흥 3
 
3.6%
금 3
 
3.6%
Other values (25) 31
37.3%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 4
40.0%
3 2
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
87.4%
Common 12
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 10
 
12.0%
곡 10
 
12.0%
강 6
 
7.2%
변 6
 
7.2%
동 4
 
4.8%
당 4
 
4.8%
천 3
 
3.6%
정 3
 
3.6%
흥 3
 
3.6%
금 3
 
3.6%
Other values (25) 31
37.3%
Common
ValueCountFrequency (%)
2 4
33.3%
1 4
33.3%
3 2
16.7%
1
 
8.3%
· 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
87.4%
ASCII 11
 
11.6%
None 1
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
계 10
 
12.0%
곡 10
 
12.0%
강 6
 
7.2%
변 6
 
7.2%
동 4
 
4.8%
당 4
 
4.8%
천 3
 
3.6%
정 3
 
3.6%
흥 3
 
3.6%
금 3
 
3.6%
Other values (25) 31
37.3%
ASCII
ValueCountFrequency (%)
2 4
36.4%
1 4
36.4%
3 2
18.2%
1
 
9.1%
None
ValueCountFrequency (%)
· 1
100.0%

주소
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-22T01:33:07.210257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length11.380952
Min length10

Characters and Unicode

Total characters239
Distinct characters55
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)76.2%

Sample

1st row평창읍 종부리·중리·하리·여만리 일원
2nd row평창읍 약수리 387
3rd row편창읍 천동리 206-6
4th row평창읍 응암리 일원
5th row평창읍 도돈리 일원
ValueCountFrequency (%)
일원 18
28.6%
평창읍 9
14.3%
진부면 3
 
4.8%
개수리 3
 
4.8%
대화면 3
 
4.8%
봉평면 3
 
4.8%
흥정리 2
 
3.2%
장전리 1
 
1.6%
종부리·중리·하리·여만리 1
 
1.6%
387 1
 
1.6%
Other values (19) 19
30.2%
2024-04-22T01:33:08.211057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
17.6%
리 26
 
10.9%
원 19
 
7.9%
일 18
 
7.5%
평 13
 
5.4%
면 11
 
4.6%
창 11
 
4.6%
읍 10
 
4.2%
· 6
 
2.5%
부 5
 
2.1%
Other values (45) 78
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
74.5%
Space Separator 42
 
17.6%
Decimal Number 11
 
4.6%
Other Punctuation 6
 
2.5%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 26
14.6%
원 19
 
10.7%
일 18
 
10.1%
평 13
 
7.3%
면 11
 
6.2%
창 11
 
6.2%
읍 10
 
5.6%
부 5
 
2.8%
대 5
 
2.8%
수 5
 
2.8%
Other values (35) 55
30.9%
Decimal Number
ValueCountFrequency (%)
8 2
18.2%
3 2
18.2%
6 2
18.2%
2 2
18.2%
7 1
9.1%
0 1
9.1%
1 1
9.1%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Punctuation
ValueCountFrequency (%)
· 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
74.5%
Common 61
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 26
14.6%
원 19
 
10.7%
일 18
 
10.1%
평 13
 
7.3%
면 11
 
6.2%
창 11
 
6.2%
읍 10
 
5.6%
부 5
 
2.8%
대 5
 
2.8%
수 5
 
2.8%
Other values (35) 55
30.9%
Common
ValueCountFrequency (%)
42
68.9%
· 6
 
9.8%
8 2
 
3.3%
3 2
 
3.3%
- 2
 
3.3%
6 2
 
3.3%
2 2
 
3.3%
7 1
 
1.6%
0 1
 
1.6%
1 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
74.5%
ASCII 55
 
23.0%
None 6
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
76.4%
8 2
 
3.6%
3 2
 
3.6%
- 2
 
3.6%
6 2
 
3.6%
2 2
 
3.6%
7 1
 
1.8%
0 1
 
1.8%
1 1
 
1.8%
Hangul
ValueCountFrequency (%)
리 26
14.6%
원 19
 
10.7%
일 18
 
10.1%
평 13
 
7.3%
면 11
 
6.2%
창 11
 
6.2%
읍 10
 
5.6%
부 5
 
2.8%
대 5
 
2.8%
수 5
 
2.8%
Other values (35) 55
30.9%
None
ValueCountFrequency (%)
· 6
100.0%

계곡 수심(깊은곳)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size296.0 B
2m
12 
3m
6 
4m
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3m
2nd row2m
3rd row4m
4th row3m
5th row2m

Common Values

ValueCountFrequency (%)
2m 12
57.1%
3m 6
28.6%
4m 3
 
14.3%

Length

2024-04-22T01:33:08.437613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:33:08.617505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2m 12
57.1%
3m 6
28.6%
4m 3
 
14.3%

계곡 수심(평균)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size296.0 B
1m
14 
2m
6 
3m
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row2m
2nd row1m
3rd row3m
4th row2m
5th row1m

Common Values

ValueCountFrequency (%)
1m 14
66.7%
2m 6
28.6%
3m 1
 
4.8%

Length

2024-04-22T01:33:08.801799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:33:08.979246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1m 14
66.7%
2m 6
28.6%
3m 1
 
4.8%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
강원도 평창군 안전교통과
21 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 평창군 안전교통과
2nd row강원도 평창군 안전교통과
3rd row강원도 평창군 안전교통과
4th row강원도 평창군 안전교통과
5th row강원도 평창군 안전교통과

Common Values

ValueCountFrequency (%)
강원도 평창군 안전교통과 21
100.0%

Length

2024-04-22T01:33:09.161355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:33:09.333452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 21
33.3%
평창군 21
33.3%
안전교통과 21
33.3%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
033-330-2886
21 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-330-2886
2nd row033-330-2886
3rd row033-330-2886
4th row033-330-2886
5th row033-330-2886

Common Values

ValueCountFrequency (%)
033-330-2886 21
100.0%

Length

2024-04-22T01:33:09.501815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:33:09.668373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-330-2886 21
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum2022-07-26 00:00:00
Maximum2022-07-26 00:00:00
2024-04-22T01:33:09.807054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:33:09.959032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-22T01:33:10.082000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구역명주소계곡 수심(깊은곳)계곡 수심(평균)
구역명1.0001.0001.0001.000
주소1.0001.0001.0001.000
계곡 수심(깊은곳)1.0001.0001.0000.907
계곡 수심(평균)1.0001.0000.9071.000
2024-04-22T01:33:10.445252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계곡 수심(깊은곳)계곡 수심(평균)
계곡 수심(깊은곳)1.0000.626
계곡 수심(평균)0.6261.000
2024-04-22T01:33:10.582133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계곡 수심(깊은곳)계곡 수심(평균)
계곡 수심(깊은곳)1.0000.626
계곡 수심(평균)0.6261.000

Missing values

2024-04-22T01:33:04.463346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T01:33:04.841158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구역명주소계곡 수심(깊은곳)계곡 수심(평균)관리기관연락처데이터기준일
0평창강변평창읍 종부리·중리·하리·여만리 일원3m2m강원도 평창군 안전교통과033-330-28862022-07-26
1유동둔치평창읍 약수리 3872m1m강원도 평창군 안전교통과033-330-28862022-07-26
2천동보편창읍 천동리 206-64m3m강원도 평창군 안전교통과033-330-28862022-07-26
3응암강변평창읍 응암리 일원3m2m강원도 평창군 안전교통과033-330-28862022-07-26
4도돈강변1평창읍 도돈리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
5도돈강변2평창읍 진바리 일원3m2m강원도 평창군 안전교통과033-330-28862022-07-26
6대상·대하 강변평창읍 대상·대하리 일원3m2m강원도 평창군 안전교통과033-330-28862022-07-26
7용항강변평창읍 용항리 일원4m2m강원도 평창군 안전교통과033-330-28862022-07-26
8뇌운계곡1평창읍 다수리 일원4m2m강원도 평창군 안전교통과033-330-28862022-07-26
9뇌운계곡2평창읍 계장리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
구역명주소계곡 수심(깊은곳)계곡 수심(평균)관리기관연락처데이터기준일
11천제당방림면 방림리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
12금당계곡1대화면 개수리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
13금당계곡2대화면 개수리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
14금당계곡3대화면 개수리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
15흥정계곡1봉평면 평촌리·창동리·원길리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
16흥정계곡2봉평면 흥정리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
17흥정계곡3봉평면 흥정리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
18오대천진부면 하진부리 일원3m1m강원도 평창군 안전교통과033-330-28862022-07-26
19막동계곡진부면 막동리 일원2m1m강원도 평창군 안전교통과033-330-28862022-07-26
20장전계곡진부면 장전리 218-32m1m강원도 평창군 안전교통과033-330-28862022-07-26