Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory55.3 B

Variable types

Text2
Numeric1
Categorical2
DateTime1

Dataset

Description강원도 평창군 계곡별 인명구조함 비치 현황으로 계곡 구역명, 주소, 인명구조함 구비 개수, 관리기관, 연락처의 항목에 대한 데이터를 제공합니다.
Author강원도 평창군
URLhttps://www.data.go.kr/data/15102795/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 00:17:36.671282
Analysis finished2023-12-12 00:17:37.314215
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구역명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T09:17:37.431072image/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%
2023-12-12T09:17:37.719057image/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 size300.0 B
2023-12-12T09:17:37.899005image/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%
2023-12-12T09:17:38.204880image/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%

인명구조함구비개수
Real number (ℝ)

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.952381
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T09:17:38.308436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5782977
Coefficient of variation (CV)0.65234038
Kurtosis1.3338933
Mean3.952381
Median Absolute Deviation (MAD)1
Skewness1.2381196
Sum83
Variance6.647619
MonotonicityNot monotonic
2023-12-12T09:17:38.391937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 6
28.6%
4 4
19.0%
3 3
14.3%
1 2
 
9.5%
7 2
 
9.5%
11 1
 
4.8%
5 1
 
4.8%
6 1
 
4.8%
8 1
 
4.8%
ValueCountFrequency (%)
1 2
 
9.5%
2 6
28.6%
3 3
14.3%
4 4
19.0%
5 1
 
4.8%
6 1
 
4.8%
7 2
 
9.5%
8 1
 
4.8%
11 1
 
4.8%
ValueCountFrequency (%)
11 1
 
4.8%
8 1
 
4.8%
7 2
 
9.5%
6 1
 
4.8%
5 1
 
4.8%
4 4
19.0%
3 3
14.3%
2 6
28.6%
1 2
 
9.5%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 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

2023-12-12T09:17:38.502539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:38.605967image/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 size300.0 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

2023-12-12T09:17:38.706514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:38.797643image/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 size300.0 B
Minimum2022-07-25 00:00:00
Maximum2022-07-25 00:00:00
2023-12-12T09:17:38.872032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:17:38.965223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:17:36.811668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:17:39.031416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구역명주소인명구조함구비개수
구역명1.0001.0001.000
주소1.0001.0000.779
인명구조함구비개수1.0000.7791.000

Missing values

2023-12-12T09:17:37.171730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:17:37.275505image/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

구역명주소인명구조함구비개수관리기관연락처데이터기준일
0평창강변평창읍 종부리·중리·하리·여만리 일원11강원도 평창군 안전교통과033-330-28862022-07-25
1유동둔치평창읍 약수리 3871강원도 평창군 안전교통과033-330-28862022-07-25
2천동보편창읍 천동리 206-62강원도 평창군 안전교통과033-330-28862022-07-25
3응암강변평창읍 응암리 일원5강원도 평창군 안전교통과033-330-28862022-07-25
4도돈강변1평창읍 도돈리 일원4강원도 평창군 안전교통과033-330-28862022-07-25
5도돈강변2평창읍 진바리 일원4강원도 평창군 안전교통과033-330-28862022-07-25
6대상·대하 강변평창읍 대상·대하리 일원2강원도 평창군 안전교통과033-330-28862022-07-25
7용항강변평창읍 용항리 일원4강원도 평창군 안전교통과033-330-28862022-07-25
8뇌운계곡1평창읍 다수리 일원6강원도 평창군 안전교통과033-330-28862022-07-25
9뇌운계곡2평창읍 계장리 일원4강원도 평창군 안전교통과033-330-28862022-07-25
구역명주소인명구조함구비개수관리기관연락처데이터기준일
11천제당방림면 방림리 일원2강원도 평창군 안전교통과033-330-28862022-07-25
12금당계곡1대화면 개수리 일원3강원도 평창군 안전교통과033-330-28862022-07-25
13금당계곡2대화면 개수리 일원3강원도 평창군 안전교통과033-330-28862022-07-25
14금당계곡3대화면 개수리 일원7강원도 평창군 안전교통과033-330-28862022-07-25
15흥정계곡1봉평면 평촌리·창동리·원길리 일원3강원도 평창군 안전교통과033-330-28862022-07-25
16흥정계곡2봉평면 흥정리 일원8강원도 평창군 안전교통과033-330-28862022-07-25
17흥정계곡3봉평면 흥정리 일원7강원도 평창군 안전교통과033-330-28862022-07-25
18오대천진부면 하진부리 일원2강원도 평창군 안전교통과033-330-28862022-07-25
19막동계곡진부면 막동리 일원2강원도 평창군 안전교통과033-330-28862022-07-25
20장전계곡진부면 장전리 218-31강원도 평창군 안전교통과033-330-28862022-07-25