Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory71.3 B

Variable types

Categorical5
Text2
Numeric1

Dataset

Description제주도 내 행정시별 보유 구조장비의 수량, 보관장소, 관리운영 책임부서 등 정보 제공상세: 제주 재난안전대책본부 홈페이지 (https://bangjae.jeju.go.kr/) 참고
Author제주특별자치도
URLhttps://www.data.go.kr/data/15045685/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리구분 is highly overall correlated with 관리운영 책임자 and 1 other fieldsHigh correlation
관리운영 책임자 is highly overall correlated with 관리구분 and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 관리구분 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-05-04 08:00:23.716209
Analysis finished2024-05-04 08:00:26.026069
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
서귀포시
10 
제주시
6 
제주특별자치도
5 

Length

Max length7
Median length4
Mean length4.4285714
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 10
47.6%
제주시 6
28.6%
제주특별자치도 5
23.8%

Length

2024-05-04T08:00:26.511325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:00:27.167939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 10
47.6%
제주시 6
28.6%
제주특별자치도 5
23.8%

종별
Text

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-04T08:00:27.698519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.4285714
Min length2

Characters and Unicode

Total characters72
Distinct characters25
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)28.6%

Sample

1st row지도선
2nd row구명보트
3rd row구명복
4th row굼여환
5th row구명로프
ValueCountFrequency (%)
구명복 4
19.0%
지도선 3
14.3%
구명보트 3
14.3%
구명환 3
14.3%
로프(m 2
9.5%
굼여환 1
 
4.8%
구명로프 1
 
4.8%
행정선 1
 
4.8%
로프 1
 
4.8%
잠수세트 1
 
4.8%
2024-05-04T08:00:28.898802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 11
15.3%
명 11
15.3%
복 4
 
5.6%
선 4
 
5.6%
트 4
 
5.6%
환 4
 
5.6%
로 4
 
5.6%
프 4
 
5.6%
지 3
 
4.2%
도 3
 
4.2%
Other values (15) 20
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
91.7%
Close Punctuation 2
 
2.8%
Lowercase Letter 2
 
2.8%
Open Punctuation 2
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 11
16.7%
명 11
16.7%
복 4
 
6.1%
선 4
 
6.1%
트 4
 
6.1%
환 4
 
6.1%
로 4
 
6.1%
프 4
 
6.1%
지 3
 
4.5%
도 3
 
4.5%
Other values (12) 14
21.2%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
91.7%
Common 4
 
5.6%
Latin 2
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 11
16.7%
명 11
16.7%
복 4
 
6.1%
선 4
 
6.1%
트 4
 
6.1%
환 4
 
6.1%
로 4
 
6.1%
프 4
 
6.1%
지 3
 
4.5%
도 3
 
4.5%
Other values (12) 14
21.2%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%
Latin
ValueCountFrequency (%)
m 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
91.7%
ASCII 6
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 11
16.7%
명 11
16.7%
복 4
 
6.1%
선 4
 
6.1%
트 4
 
6.1%
환 4
 
6.1%
로 4
 
6.1%
프 4
 
6.1%
지 3
 
4.5%
도 3
 
4.5%
Other values (12) 14
21.2%
ASCII
ValueCountFrequency (%)
) 2
33.3%
m 2
33.3%
( 2
33.3%

단위
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
개
11 
척
6 
100m
2 
벌
 
1
대
 
1

Length

Max length4
Median length1
Mean length1.2857143
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row척
2nd row척
3rd row벌
4th row개
5th row개

Common Values

ValueCountFrequency (%)
개 11
52.4%
척 6
28.6%
100m 2
 
9.5%
벌 1
 
4.8%
대 1
 
4.8%

Length

2024-05-04T08:00:29.972684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:00:30.507089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개 11
52.4%
척 6
28.6%
100m 2
 
9.5%
벌 1
 
4.8%
대 1
 
4.8%

수량
Real number (ℝ)

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.761905
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-04T08:00:30.928238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q330
95-th percentile45
Maximum77
Range76
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.549707
Coefficient of variation (CV)1.2259769
Kurtosis2.2440319
Mean16.761905
Median Absolute Deviation (MAD)4
Skewness1.5542303
Sum352
Variance422.29048
MonotonicityNot monotonic
2024-05-04T08:00:31.299391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 6
28.6%
4 3
14.3%
13 2
 
9.5%
45 1
 
4.8%
12 1
 
4.8%
77 1
 
4.8%
21 1
 
4.8%
3 1
 
4.8%
39 1
 
4.8%
44 1
 
4.8%
Other values (3) 3
14.3%
ValueCountFrequency (%)
1 6
28.6%
3 1
 
4.8%
4 3
14.3%
5 1
 
4.8%
12 1
 
4.8%
13 2
 
9.5%
21 1
 
4.8%
30 1
 
4.8%
32 1
 
4.8%
39 1
 
4.8%
ValueCountFrequency (%)
77 1
4.8%
45 1
4.8%
44 1
4.8%
39 1
4.8%
32 1
4.8%
30 1
4.8%
21 1
4.8%
13 2
9.5%
12 1
4.8%
5 1
4.8%

보관장소
Text

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-04T08:00:31.713820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length12.333333
Min length3

Characters and Unicode

Total characters259
Distinct characters64
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

Unique12 ?
Unique (%)57.1%

Sample

1st row수산정책과(삼다호)
2nd row수산정책과(삼다호)
3rd row수산정책과(삼다호)
4th row수산정책과(삼다호)
5th row수산정책과(삼다호)
ValueCountFrequency (%)
수산정책과(삼다호 5
19.2%
해양수산과 4
15.4%
시청 2
 
7.7%
읍면동 1
 
3.8%
각 1
 
3.8%
및 1
 
3.8%
제1청사 1
 
3.8%
남원읍13+동홍동3+대천동2+예래동2+재난관리과10 1
 
3.8%
대천동4+예래동7 1
 
3.8%
대천동6+예래동7 1
 
3.8%
Other values (8) 8
30.8%
2024-05-04T08:00:32.667222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 21
 
8.1%
동 18
 
6.9%
과 14
 
5.4%
수 13
 
5.0%
산 13
 
5.0%
2 11
 
4.2%
1 11
 
4.2%
양 11
 
4.2%
삼 8
 
3.1%
호 8
 
3.1%
Other values (54) 131
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
70.3%
Decimal Number 39
 
15.1%
Math Symbol 21
 
8.1%
Open Punctuation 6
 
2.3%
Close Punctuation 6
 
2.3%
Space Separator 5
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 18
 
9.9%
과 14
 
7.7%
수 13
 
7.1%
산 13
 
7.1%
양 11
 
6.0%
삼 8
 
4.4%
호 8
 
4.4%
해 8
 
4.4%
읍 7
 
3.8%
책 5
 
2.7%
Other values (42) 77
42.3%
Decimal Number
ValueCountFrequency (%)
2 11
28.2%
1 11
28.2%
4 6
15.4%
3 4
 
10.3%
7 2
 
5.1%
5 2
 
5.1%
6 2
 
5.1%
0 1
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
70.3%
Common 77
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 18
 
9.9%
과 14
 
7.7%
수 13
 
7.1%
산 13
 
7.1%
양 11
 
6.0%
삼 8
 
4.4%
호 8
 
4.4%
해 8
 
4.4%
읍 7
 
3.8%
책 5
 
2.7%
Other values (42) 77
42.3%
Common
ValueCountFrequency (%)
+ 21
27.3%
2 11
14.3%
1 11
14.3%
4 6
 
7.8%
( 6
 
7.8%
) 6
 
7.8%
5
 
6.5%
3 4
 
5.2%
7 2
 
2.6%
5 2
 
2.6%
Other values (2) 3
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
70.3%
ASCII 77
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 21
27.3%
2 11
14.3%
1 11
14.3%
4 6
 
7.8%
( 6
 
7.8%
) 6
 
7.8%
5
 
6.5%
3 4
 
5.2%
7 2
 
2.6%
5 2
 
2.6%
Other values (2) 3
 
3.9%
Hangul
ValueCountFrequency (%)
동 18
 
9.9%
과 14
 
7.7%
수 13
 
7.1%
산 13
 
7.1%
양 11
 
6.0%
삼 8
 
4.4%
호 8
 
4.4%
해 8
 
4.4%
읍 7
 
3.8%
책 5
 
2.7%
Other values (42) 77
42.3%

관리운영 책임자
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
개인
7 
해수욕장관리담당자
4 
어업지원담당
4 
재난관리담당자
3 
민방위담당자
2 

Length

Max length9
Median length7
Mean length5.1904762
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
개인 7
33.3%
해수욕장관리담당자 4
19.0%
어업지원담당 4
19.0%
재난관리담당자 3
14.3%
민방위담당자 2
 
9.5%
선장 1
 
4.8%

Length

2024-05-04T08:00:33.093253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:00:33.450468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 7
33.3%
해수욕장관리담당자 4
19.0%
어업지원담당 4
19.0%
재난관리담당자 3
14.3%
민방위담당자 2
 
9.5%
선장 1
 
4.8%

전화번호
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
064-710-3218
5 
064-728-3394
4 
064-760-2751
4 
064-760-3143
3 
<NA>
2 
Other values (2)
3 

Length

Max length12
Median length12
Mean length11.238095
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row064-710-3218
2nd row064-710-3218
3rd row064-710-3218
4th row064-710-3218
5th row064-710-3218

Common Values

ValueCountFrequency (%)
064-710-3218 5
23.8%
064-728-3394 4
19.0%
064-760-2751 4
19.0%
064-760-3143 3
14.3%
<NA> 2
 
9.5%
064-760-3172 2
 
9.5%
064-728-4293 1
 
4.8%

Length

2024-05-04T08:00:33.899024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:00:34.382148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
064-710-3218 5
23.8%
064-728-3394 4
19.0%
064-760-2751 4
19.0%
064-760-3143 3
14.3%
na 2
 
9.5%
064-760-3172 2
 
9.5%
064-728-4293 1
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-25
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-25
2nd row2024-04-25
3rd row2024-04-25
4th row2024-04-25
5th row2024-04-25

Common Values

ValueCountFrequency (%)
2024-04-25 21
100.0%

Length

2024-05-04T08:00:34.802092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:00:35.313119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-25 21
100.0%

Interactions

2024-05-04T08:00:24.540684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T08:00:35.507647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리구분종별단위수량보관장소관리운영 책임자전화번호
관리구분1.0000.0000.2390.0001.0000.9761.000
종별0.0001.0000.8770.0000.2510.0000.458
단위0.2390.8771.0000.4200.7560.5130.466
수량0.0000.0000.4201.0000.9400.3970.188
보관장소1.0000.2510.7560.9401.0001.0001.000
관리운영 책임자0.9760.0000.5130.3971.0001.0001.000
전화번호1.0000.4580.4660.1881.0001.0001.000
2024-05-04T08:00:35.804325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리구분관리운영 책임자단위전화번호
관리구분1.0000.7360.1420.901
관리운영 책임자0.7361.0000.3490.964
단위0.1420.3491.0000.300
전화번호0.9010.9640.3001.000
2024-05-04T08:00:36.072315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량관리구분단위관리운영 책임자전화번호
수량1.0000.0000.2340.2000.000
관리구분0.0001.0000.1420.7360.901
단위0.2340.1421.0000.3490.300
관리운영 책임자0.2000.7360.3491.0000.964
전화번호0.0000.9010.3000.9641.000

Missing values

2024-05-04T08:00:25.086570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T08:00:25.755865image/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

관리구분종별단위수량보관장소관리운영 책임자전화번호데이터기준일자
0제주특별자치도지도선척1수산정책과(삼다호)개인064-710-32182024-04-25
1제주특별자치도구명보트척1수산정책과(삼다호)개인064-710-32182024-04-25
2제주특별자치도구명복벌45수산정책과(삼다호)개인064-710-32182024-04-25
3제주특별자치도굼여환개4수산정책과(삼다호)개인064-710-32182024-04-25
4제주특별자치도구명로프개4수산정책과(삼다호)개인064-710-32182024-04-25
5제주시지도선척1영주호개인<NA>2024-04-25
6제주시행정선척1추자면개인064-728-42932024-04-25
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