Overview

Dataset statistics

Number of variables7
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory60.3 B

Variable types

Text2
Categorical4
DateTime1

Dataset

Description물놀이 안전사고와 관련하여 물놀이 전수조사 매년 실시한 경우 평균 수심 및 깊은 수심을 작성하고 있습니다. 이에 매년 1회 입력하여 물놀이 관리를 실시할 예정입니다.
URLhttps://www.data.go.kr/data/15103906/fileData.do

Alerts

관리기관 has constant value ""Constant
연락처 has constant value ""Constant
데이터기준일 has constant value ""Constant
구역명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:21:19.518762
Analysis finished2023-12-12 09:21:20.123968
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구역명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T18:21:20.320947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.6129032
Min length3

Characters and Unicode

Total characters205
Distinct characters101
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row양양대교밑
2nd row임천보
3rd row오색솔밭야영장
4th row미천골휴양림 입구
5th row얼음골야영장
ValueCountFrequency (%)
양양대교밑 1
 
2.9%
놀골교 1
 
2.9%
운문암 1
 
2.9%
불땅골 1
 
2.9%
어성전리밤나무골 1
 
2.9%
원일전리 1
 
2.9%
돔뜰 1
 
2.9%
원일전리마을휴양지 1
 
2.9%
밑 1
 
2.9%
산골여행팬션인근 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T18:21:20.769104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 10
 
4.9%
골 8
 
3.9%
보 7
 
3.4%
양 6
 
2.9%
) 6
 
2.9%
수 6
 
2.9%
( 6
 
2.9%
마 6
 
2.9%
5
 
2.4%
을 5
 
2.4%
Other values (91) 140
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
91.2%
Close Punctuation 6
 
2.9%
Open Punctuation 6
 
2.9%
Space Separator 5
 
2.4%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 10
 
5.3%
골 8
 
4.3%
보 7
 
3.7%
양 6
 
3.2%
수 6
 
3.2%
마 6
 
3.2%
을 5
 
2.7%
교 5
 
2.7%
앞 4
 
2.1%
휴 4
 
2.1%
Other values (87) 126
67.4%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
91.2%
Common 18
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 10
 
5.3%
골 8
 
4.3%
보 7
 
3.7%
양 6
 
3.2%
수 6
 
3.2%
마 6
 
3.2%
을 5
 
2.7%
교 5
 
2.7%
앞 4
 
2.1%
휴 4
 
2.1%
Other values (87) 126
67.4%
Common
ValueCountFrequency (%)
) 6
33.3%
( 6
33.3%
5
27.8%
1 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
91.2%
ASCII 18
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 10
 
5.3%
골 8
 
4.3%
보 7
 
3.7%
양 6
 
3.2%
수 6
 
3.2%
마 6
 
3.2%
을 5
 
2.7%
교 5
 
2.7%
앞 4
 
2.1%
휴 4
 
2.1%
Other values (87) 126
67.4%
ASCII
ValueCountFrequency (%)
) 6
33.3%
( 6
33.3%
5
27.8%
1 1
 
5.6%

주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T18:21:21.024373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length12.064516
Min length9

Characters and Unicode

Total characters374
Distinct characters50
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

Unique31 ?
Unique (%)100.0%

Sample

1st row양양읍 연창리 283
2nd row양양읍 임천리 440
3rd row서면 오색1리 100
4th row서면 서림리 403-20
5th row서면 서림리 374
ValueCountFrequency (%)
서면 19
20.0%
현북면 10
 
10.5%
어성전리 4
 
4.2%
수리 3
 
3.2%
서림리 3
 
3.2%
법수치리 3
 
3.2%
용소리 2
 
2.1%
원일전리 2
 
2.1%
산 2
 
2.1%
공수전리 2
 
2.1%
Other values (44) 45
47.4%
2023-12-12T18:21:21.499257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
19.8%
리 30
 
8.0%
면 29
 
7.8%
1 23
 
6.1%
서 22
 
5.9%
- 18
 
4.8%
2 13
 
3.5%
4 12
 
3.2%
현 12
 
3.2%
6 11
 
2.9%
Other values (40) 130
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
47.1%
Decimal Number 106
28.3%
Space Separator 74
19.8%
Dash Punctuation 18
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 30
17.0%
면 29
16.5%
서 22
12.5%
현 12
 
6.8%
북 10
 
5.7%
수 8
 
4.5%
전 8
 
4.5%
양 4
 
2.3%
어 4
 
2.3%
성 4
 
2.3%
Other values (28) 45
25.6%
Decimal Number
ValueCountFrequency (%)
1 23
21.7%
2 13
12.3%
4 12
11.3%
6 11
10.4%
3 11
10.4%
7 10
9.4%
0 9
 
8.5%
5 7
 
6.6%
8 6
 
5.7%
9 4
 
3.8%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
52.9%
Hangul 176
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 30
17.0%
면 29
16.5%
서 22
12.5%
현 12
 
6.8%
북 10
 
5.7%
수 8
 
4.5%
전 8
 
4.5%
양 4
 
2.3%
어 4
 
2.3%
성 4
 
2.3%
Other values (28) 45
25.6%
Common
ValueCountFrequency (%)
74
37.4%
1 23
 
11.6%
- 18
 
9.1%
2 13
 
6.6%
4 12
 
6.1%
6 11
 
5.6%
3 11
 
5.6%
7 10
 
5.1%
0 9
 
4.5%
5 7
 
3.5%
Other values (2) 10
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
52.9%
Hangul 176
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
37.4%
1 23
 
11.6%
- 18
 
9.1%
2 13
 
6.6%
4 12
 
6.1%
6 11
 
5.6%
3 11
 
5.6%
7 10
 
5.1%
0 9
 
4.5%
5 7
 
3.5%
Other values (2) 10
 
5.1%
Hangul
ValueCountFrequency (%)
리 30
17.0%
면 29
16.5%
서 22
12.5%
현 12
 
6.8%
북 10
 
5.7%
수 8
 
4.5%
전 8
 
4.5%
양 4
 
2.3%
어 4
 
2.3%
성 4
 
2.3%
Other values (28) 45
25.6%

깊은곳 계곡 수심
Categorical

Distinct8
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
1.5m
10 
2m
10 
2.5m
3 
3m
2 
1m
2 
Other values (3)
4 

Length

Max length4
Median length4
Mean length3.0967742
Min length2

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row1.5m
2nd row2m
3rd row1.5m
4th row1.7m
5th row1.5m

Common Values

ValueCountFrequency (%)
1.5m 10
32.3%
2m 10
32.3%
2.5m 3
 
9.7%
3m 2
 
6.5%
1m 2
 
6.5%
1.8m 2
 
6.5%
1.7m 1
 
3.2%
2.3m 1
 
3.2%

Length

2023-12-12T18:21:21.709767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:21:21.873373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.5m 10
32.3%
2m 10
32.3%
2.5m 3
 
9.7%
3m 2
 
6.5%
1m 2
 
6.5%
1.8m 2
 
6.5%
1.7m 1
 
3.2%
2.3m 1
 
3.2%

평균 계곡 수심
Categorical

Distinct12
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
1m
9 
1.5m
8 
0.7m
3 
0.9m
2 
0.8m
2 
Other values (7)
7 

Length

Max length4
Median length4
Mean length3.3548387
Min length2

Unique

Unique7 ?
Unique (%)22.6%

Sample

1st row1m
2nd row1.5m
3rd row0.9m
4th row1.5m
5th row1m

Common Values

ValueCountFrequency (%)
1m 9
29.0%
1.5m 8
25.8%
0.7m 3
 
9.7%
0.9m 2
 
6.5%
0.8m 2
 
6.5%
2m 1
 
3.2%
1.4m 1
 
3.2%
1.8m 1
 
3.2%
1.1m 1
 
3.2%
1.2m 1
 
3.2%
Other values (2) 2
 
6.5%

Length

2023-12-12T18:21:22.059994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1m 9
29.0%
1.5m 8
25.8%
0.7m 3
 
9.7%
0.9m 2
 
6.5%
0.8m 2
 
6.5%
2m 1
 
3.2%
1.4m 1
 
3.2%
1.8m 1
 
3.2%
1.1m 1
 
3.2%
1.2m 1
 
3.2%
Other values (2) 2
 
6.5%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
강원도 양양군 재난안전과
31 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 양양군 재난안전과 31
100.0%

Length

2023-12-12T18:21:22.266847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:21:22.424234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 31
33.3%
양양군 31
33.3%
재난안전과 31
33.3%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
033-670-2750
31 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-670-2750
2nd row033-670-2750
3rd row033-670-2750
4th row033-670-2750
5th row033-670-2750

Common Values

ValueCountFrequency (%)
033-670-2750 31
100.0%

Length

2023-12-12T18:21:22.586775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:21:22.740488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-670-2750 31
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2022-08-10 00:00:00
Maximum2022-08-10 00:00:00
2023-12-12T18:21:22.864581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:21:23.002822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T18:21:23.119370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구역명주소깊은곳 계곡 수심평균 계곡 수심
구역명1.0001.0001.0001.000
주소1.0001.0001.0001.000
깊은곳 계곡 수심1.0001.0001.0000.553
평균 계곡 수심1.0001.0000.5531.000
2023-12-12T18:21:23.254036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평균 계곡 수심깊은곳 계곡 수심
평균 계곡 수심1.0000.215
깊은곳 계곡 수심0.2151.000
2023-12-12T18:21:23.364773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
깊은곳 계곡 수심평균 계곡 수심
깊은곳 계곡 수심1.0000.215
평균 계곡 수심0.2151.000

Missing values

2023-12-12T18:21:19.885120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:21:20.069414image/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

구역명주소깊은곳 계곡 수심평균 계곡 수심관리기관연락처데이터기준일
0양양대교밑양양읍 연창리 2831.5m1m강원도 양양군 재난안전과033-670-27502022-08-10
1임천보양양읍 임천리 4402m1.5m강원도 양양군 재난안전과033-670-27502022-08-10
2오색솔밭야영장서면 오색1리 1001.5m0.9m강원도 양양군 재난안전과033-670-27502022-08-10
3미천골휴양림 입구서면 서림리 403-201.7m1.5m강원도 양양군 재난안전과033-670-27502022-08-10
4얼음골야영장서면 서림리 3741.5m1m강원도 양양군 재난안전과033-670-27502022-08-10
5서림마을관리휴양지서면 서림리 1291.5m1m강원도 양양군 재난안전과033-670-27502022-08-10
6영덕리마을야영장서면 영덕리 4723m1m강원도 양양군 재난안전과033-670-27502022-08-10
7용소골계곡(상)서면 용소리 49-22.5m1.5m강원도 양양군 재난안전과033-670-27502022-08-10
8용소골계곡(중)서면 용소리 162.3m1.5m강원도 양양군 재난안전과033-670-27502022-08-10
9공수전마을휴양지서면 공수전리 산 79-12m1m강원도 양양군 재난안전과033-670-27502022-08-10
구역명주소깊은곳 계곡 수심평균 계곡 수심관리기관연락처데이터기준일
21어성전리밤나무골현북면 어성전리 5371.8m1.2m강원도 양양군 재난안전과033-670-27502022-08-10
22원일전리 돔뜰현북면 원일전리 566-32m1.5m강원도 양양군 재난안전과033-670-27502022-08-10
23원일전리마을휴양지현북면 원일전리 273-32m1.3m강원도 양양군 재난안전과033-670-27502022-08-10
24놀골교 밑현북면 장리 110-11.5m1m강원도 양양군 재난안전과033-670-27502022-08-10
25내현보(모래소)서면 내현리 17-43m1m강원도 양양군 재난안전과033-670-27502022-08-10
26내현보서면 내현보 2422m0.8m강원도 양양군 재난안전과033-670-27502022-08-10
27수리보 밤나무집서면 수리 3001.5m0.8m강원도 양양군 재난안전과033-670-27502022-08-10
28수리세월교서면 수리 6881.5m0.5m강원도 양양군 재난안전과033-670-27502022-08-10
29수리1교밑서면 수리 745-12m1.5m강원도 양양군 재난안전과033-670-27502022-08-10
30용천보(한남초교앞)서면 용천리 540-32m1.5m강원도 양양군 재난안전과033-670-27502022-08-10