Overview

Dataset statistics

Number of variables6
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory52.6 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description강원도 인제군 관내 물놀이 관리지역에 대한 데이터로 지번주소, 세부지명, 깊이(깊은곳)의 항목에 대한 데이터를 제공합니다.
Author강원도 인제군
URLhttps://www.data.go.kr/data/15103396/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
지번주소 has unique valuesUnique
세부지명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:57:05.855400
Analysis finished2023-12-12 08:57:06.378454
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
강원도
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 29
100.0%

Length

2023-12-12T17:57:06.476790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:06.629031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 29
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
인제군
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인제군 29
100.0%

Length

2023-12-12T17:57:06.760933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:06.886337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인제군 29
100.0%

지번주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T17:57:07.113536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.413793
Min length15

Characters and Unicode

Total characters534
Distinct characters48
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

Unique29 ?
Unique (%)100.0%

Sample

1st row인제군 인제읍 고사리 236-6번지
2nd row인제군 남면 남전리 산 226-1번지
3rd row인제군 북면 한계리 1056-2번지
4th row인제군 북면 용대리 1094-7번지
5th row인제군 북면 용대리 656-1번지
ValueCountFrequency (%)
인제군 29
24.6%
기린면 11
 
9.3%
상남면 8
 
6.8%
북면 5
 
4.2%
현리 4
 
3.4%
미산리 4
 
3.4%
용대리 3
 
2.5%
서화면 3
 
2.5%
하남리 3
 
2.5%
진동리 2
 
1.7%
Other values (44) 46
39.0%
2023-12-12T17:57:07.570929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
16.7%
1 33
 
6.2%
인 30
 
5.6%
제 30
 
5.6%
군 29
 
5.4%
리 29
 
5.4%
면 28
 
5.2%
지 27
 
5.1%
번 27
 
5.1%
- 19
 
3.6%
Other values (38) 193
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
57.7%
Decimal Number 118
 
22.1%
Space Separator 89
 
16.7%
Dash Punctuation 19
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 30
9.7%
제 30
9.7%
군 29
9.4%
리 29
9.4%
면 28
 
9.1%
지 27
 
8.8%
번 27
 
8.8%
남 14
 
4.5%
기 11
 
3.6%
린 11
 
3.6%
Other values (26) 72
23.4%
Decimal Number
ValueCountFrequency (%)
1 33
28.0%
5 14
11.9%
6 14
11.9%
2 13
 
11.0%
3 10
 
8.5%
7 9
 
7.6%
8 8
 
6.8%
9 7
 
5.9%
0 5
 
4.2%
4 5
 
4.2%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
57.7%
Common 226
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 30
9.7%
제 30
9.7%
군 29
9.4%
리 29
9.4%
면 28
 
9.1%
지 27
 
8.8%
번 27
 
8.8%
남 14
 
4.5%
기 11
 
3.6%
린 11
 
3.6%
Other values (26) 72
23.4%
Common
ValueCountFrequency (%)
89
39.4%
1 33
 
14.6%
- 19
 
8.4%
5 14
 
6.2%
6 14
 
6.2%
2 13
 
5.8%
3 10
 
4.4%
7 9
 
4.0%
8 8
 
3.5%
9 7
 
3.1%
Other values (2) 10
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
57.7%
ASCII 226
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
39.4%
1 33
 
14.6%
- 19
 
8.4%
5 14
 
6.2%
6 14
 
6.2%
2 13
 
5.8%
3 10
 
4.4%
7 9
 
4.0%
8 8
 
3.5%
9 7
 
3.1%
Other values (2) 10
 
4.4%
Hangul
ValueCountFrequency (%)
인 30
9.7%
제 30
9.7%
군 29
9.4%
리 29
9.4%
면 28
 
9.1%
지 27
 
8.8%
번 27
 
8.8%
남 14
 
4.5%
기 11
 
3.6%
린 11
 
3.6%
Other values (26) 72
23.4%

세부지명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T17:57:07.840257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6.4827586
Min length3

Characters and Unicode

Total characters188
Distinct characters93
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row밤골유원지 인근
2nd row동아실 유원지
3rd row솔터다리
4th row구만동야영장
5th row내가평교
ValueCountFrequency (%)
앞 6
 
13.0%
입구 2
 
4.3%
유원지 2
 
4.3%
옆 1
 
2.2%
용추골 1
 
2.2%
오류동솔밭유원지 1
 
2.2%
심적유원지 1
 
2.2%
용늪펜션 1
 
2.2%
강변펜션벨리 1
 
2.2%
내린천가산교 1
 
2.2%
Other values (29) 29
63.0%
2023-12-12T17:57:08.200597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
9.0%
원 9
 
4.8%
유 7
 
3.7%
지 7
 
3.7%
교 7
 
3.7%
앞 6
 
3.2%
솔 5
 
2.7%
가 5
 
2.7%
용 5
 
2.7%
동 5
 
2.7%
Other values (83) 115
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167
88.8%
Space Separator 17
 
9.0%
Decimal Number 4
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 9
 
5.4%
유 7
 
4.2%
지 7
 
4.2%
교 7
 
4.2%
앞 6
 
3.6%
솔 5
 
3.0%
가 5
 
3.0%
용 5
 
3.0%
동 5
 
3.0%
리 4
 
2.4%
Other values (78) 107
64.1%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
3 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167
88.8%
Common 21
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 9
 
5.4%
유 7
 
4.2%
지 7
 
4.2%
교 7
 
4.2%
앞 6
 
3.6%
솔 5
 
3.0%
가 5
 
3.0%
용 5
 
3.0%
동 5
 
3.0%
리 4
 
2.4%
Other values (78) 107
64.1%
Common
ValueCountFrequency (%)
17
81.0%
1 1
 
4.8%
0 1
 
4.8%
3 1
 
4.8%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 167
88.8%
ASCII 21
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
81.0%
1 1
 
4.8%
0 1
 
4.8%
3 1
 
4.8%
2 1
 
4.8%
Hangul
ValueCountFrequency (%)
원 9
 
5.4%
유 7
 
4.2%
지 7
 
4.2%
교 7
 
4.2%
앞 6
 
3.6%
솔 5
 
3.0%
가 5
 
3.0%
용 5
 
3.0%
동 5
 
3.0%
리 4
 
2.4%
Other values (78) 107
64.1%

수심(깊은곳)
Categorical

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2m
7 
5m
7 
1.5m
5 
3m
4 
4m
3 
Other values (2)
3 

Length

Max length4
Median length2
Mean length2.4827586
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
2m 7
24.1%
5m 7
24.1%
1.5m 5
17.2%
3m 4
13.8%
4m 3
10.3%
2.5m 2
 
6.9%
6m 1
 
3.4%

Length

2023-12-12T17:57:08.380366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:08.538540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2m 7
24.1%
5m 7
24.1%
1.5m 5
17.2%
3m 4
13.8%
4m 3
10.3%
2.5m 2
 
6.9%
6m 1
 
3.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2022-08-08 00:00:00
Maximum2022-08-08 00:00:00
2023-12-12T17:57:08.647739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:08.770293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T17:57:08.862834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지번주소세부지명수심(깊은곳)
지번주소1.0001.0001.000
세부지명1.0001.0001.000
수심(깊은곳)1.0001.0001.000

Missing values

2023-12-12T17:57:06.142773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:57:06.309426image/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

시도명시군구명지번주소세부지명수심(깊은곳)데이터기준일자
0강원도인제군인제군 인제읍 고사리 236-6번지밤골유원지 인근3m2022-08-08
1강원도인제군인제군 남면 남전리 산 226-1번지동아실 유원지2m2022-08-08
2강원도인제군인제군 북면 한계리 1056-2번지솔터다리3m2022-08-08
3강원도인제군인제군 북면 용대리 1094-7번지구만동야영장2m2022-08-08
4강원도인제군인제군 북면 용대리 656-1번지내가평교4m2022-08-08
5강원도인제군인제군 북면 용대리 861번지떡바위소4m2022-08-08
6강원도인제군인제군 북면 한계리 1529고원통로 상류2.5m2022-08-08
7강원도인제군인제군 기린면 서리 236-1번지하죽천교1.5m2022-08-08
8강원도인제군인제군 기린면 현리 765-2번지기린중고등학교 앞1.5m2022-08-08
9강원도인제군인제군 기린면 현리 181번지103 통신단 앞2m2022-08-08
시도명시군구명지번주소세부지명수심(깊은곳)데이터기준일자
19강원도인제군인제군 서화면 천도리 713번지용늪펜션 앞5m2022-08-08
20강원도인제군인제군 서화면 서흥리 957-2번지강변펜션벨리 앞2m2022-08-08
21강원도인제군인제군 상남면 하남리 1181-2번지내린천가산교 옆5m2022-08-08
22강원도인제군인제군 상남면 하남리 882번지광주동 솔밭6m2022-08-08
23강원도인제군인제군 상남면 상남리 1759번지용수폭포계곡3m2022-08-08
24강원도인제군인제군 상남면 미산리 598-7번지합수모래유원지5m2022-08-08
25강원도인제군인제군 상남면 미산리 567-1번지솔개솔밭유원지5m2022-08-08
26강원도인제군인제군 상남면 미산리 351-1번지미산분교오토캠핑장5m2022-08-08
27강원도인제군인제군 상남면 미산리 105-1번지물빛정원 앞5m2022-08-08
28강원도인제군인제군 상남면 하남리 436-1번지용오름마을 캠핑장5m2022-08-08