Overview

Dataset statistics

Number of variables8
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory66.9 B

Variable types

Categorical6
Text2

Dataset

Description해당 자료는 울산광역시 중구 재난 예경보시스템 현황 데이터 입니다. 재난예경보시스템 현황자료는 관리기관명, 설치주소, 설치년도, 설치대수 등의 자료를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15101345/fileData.do

Alerts

시도명 has constant value ""Constant
시구군명 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
설치 시설 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:45:22.498867
Analysis finished2023-12-12 23:45:22.919579
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
울산광역시
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 46
100.0%

Length

2023-12-13T08:45:22.983079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:45:23.060108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 46
100.0%

시구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
중구
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 46
100.0%

Length

2023-12-13T08:45:23.148335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:45:23.242263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 46
100.0%

설치 시설
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T08:45:23.434367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.282609
Min length14

Characters and Unicode

Total characters887
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row재해문자전광판(중구청 서문)
2nd row재해문자전광판(성남배수장 앞 강북로)
3rd row재해문자전광판(서원배수장)
4th row재해문자전광판(반구배수장)
5th row재해문자전광판(내황배수장)
ValueCountFrequency (%)
재난상황감시용 23
24.5%
행정복지센터 13
 
13.8%
저류지 3
 
3.2%
재해문자전광판(성남배수장 2
 
2.1%
앞 2
 
2.1%
cctv(약사천 2
 
2.1%
cctv(동천강 2
 
2.1%
cctv(다운아파트 1
 
1.1%
cctv(척과천 1
 
1.1%
자전거연습장 1
 
1.1%
Other values (44) 44
46.8%
2023-12-13T08:45:23.803673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
5.4%
( 46
 
5.2%
C 46
 
5.2%
) 46
 
5.2%
시 37
 
4.2%
재 32
 
3.6%
동 31
 
3.5%
황 25
 
2.8%
자 24
 
2.7%
감 23
 
2.6%
Other values (76) 529
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 649
73.2%
Uppercase Letter 92
 
10.4%
Space Separator 48
 
5.4%
Open Punctuation 46
 
5.2%
Close Punctuation 46
 
5.2%
Decimal Number 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 37
 
5.7%
재 32
 
4.9%
동 31
 
4.8%
황 25
 
3.9%
자 24
 
3.7%
감 23
 
3.5%
용 23
 
3.5%
상 23
 
3.5%
난 23
 
3.5%
지 21
 
3.2%
Other values (68) 387
59.6%
Uppercase Letter
ValueCountFrequency (%)
C 46
50.0%
V 23
25.0%
T 23
25.0%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 649
73.2%
Common 146
 
16.5%
Latin 92
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 37
 
5.7%
재 32
 
4.9%
동 31
 
4.8%
황 25
 
3.9%
자 24
 
3.7%
감 23
 
3.5%
용 23
 
3.5%
상 23
 
3.5%
난 23
 
3.5%
지 21
 
3.2%
Other values (68) 387
59.6%
Common
ValueCountFrequency (%)
48
32.9%
( 46
31.5%
) 46
31.5%
1 3
 
2.1%
2 3
 
2.1%
Latin
ValueCountFrequency (%)
C 46
50.0%
V 23
25.0%
T 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 649
73.2%
ASCII 238
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
20.2%
( 46
19.3%
C 46
19.3%
) 46
19.3%
V 23
9.7%
T 23
9.7%
1 3
 
1.3%
2 3
 
1.3%
Hangul
ValueCountFrequency (%)
시 37
 
5.7%
재 32
 
4.9%
동 31
 
4.8%
황 25
 
3.9%
자 24
 
3.7%
감 23
 
3.5%
용 23
 
3.5%
상 23
 
3.5%
난 23
 
3.5%
지 21
 
3.2%
Other values (68) 387
59.6%

설치 위치
Text

Distinct42
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T08:45:24.051378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.673913
Min length5

Characters and Unicode

Total characters353
Distinct characters58
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

Unique38 ?
Unique (%)82.6%

Sample

1st row 단장골길 1
2nd row강북로 87
3rd row 반구정16길 24
4th row 반구정16길 36
5th row 내황14길 94
ValueCountFrequency (%)
강북로 4
 
4.3%
반구정16길 4
 
4.3%
내황14길 3
 
3.3%
94 3
 
3.3%
다운동 3
 
3.3%
87 3
 
3.3%
남외동 2
 
2.2%
산전길 2
 
2.2%
유곡동 2
 
2.2%
성안동 2
 
2.2%
Other values (54) 64
69.6%
2023-12-13T08:45:24.402083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
15.6%
4 23
 
6.5%
3 18
 
5.1%
동 16
 
4.5%
2 16
 
4.5%
길 16
 
4.5%
9 15
 
4.2%
0 14
 
4.0%
1 14
 
4.0%
로 14
 
4.0%
Other values (48) 152
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
41.9%
Decimal Number 139
39.4%
Space Separator 55
 
15.6%
Dash Punctuation 11
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16
 
10.8%
길 16
 
10.8%
로 14
 
9.5%
구 7
 
4.7%
북 5
 
3.4%
화 5
 
3.4%
반 5
 
3.4%
운 4
 
2.7%
강 4
 
2.7%
교 4
 
2.7%
Other values (36) 68
45.9%
Decimal Number
ValueCountFrequency (%)
4 23
16.5%
3 18
12.9%
2 16
11.5%
9 15
10.8%
0 14
10.1%
1 14
10.1%
5 13
9.4%
6 12
8.6%
7 7
 
5.0%
8 7
 
5.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
58.1%
Hangul 148
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16
 
10.8%
길 16
 
10.8%
로 14
 
9.5%
구 7
 
4.7%
북 5
 
3.4%
화 5
 
3.4%
반 5
 
3.4%
운 4
 
2.7%
강 4
 
2.7%
교 4
 
2.7%
Other values (36) 68
45.9%
Common
ValueCountFrequency (%)
55
26.8%
4 23
11.2%
3 18
 
8.8%
2 16
 
7.8%
9 15
 
7.3%
0 14
 
6.8%
1 14
 
6.8%
5 13
 
6.3%
6 12
 
5.9%
- 11
 
5.4%
Other values (2) 14
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205
58.1%
Hangul 148
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
26.8%
4 23
11.2%
3 18
 
8.8%
2 16
 
7.8%
9 15
 
7.3%
0 14
 
6.8%
1 14
 
6.8%
5 13
 
6.3%
6 12
 
5.9%
- 11
 
5.4%
Other values (2) 14
 
6.8%
Hangul
ValueCountFrequency (%)
동 16
 
10.8%
길 16
 
10.8%
로 14
 
9.5%
구 7
 
4.7%
북 5
 
3.4%
화 5
 
3.4%
반 5
 
3.4%
운 4
 
2.7%
강 4
 
2.7%
교 4
 
2.7%
Other values (36) 68
45.9%

설치년도(설치대수)
Categorical

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2016(1)
15 
2012(1)
12 
2015(1)
2 
2017(2)
2 
2018(1)
2 
Other values (12)
13 

Length

Max length31
Median length7
Mean length9.1304348
Min length7

Unique

Unique11 ?
Unique (%)23.9%

Sample

1st row2016(1)
2nd row2016(1)
3rd row2016(1)
4th row2016(1)
5th row2016(1)

Common Values

ValueCountFrequency (%)
2016(1) 15
32.6%
2012(1) 12
26.1%
2015(1) 2
 
4.3%
2017(2) 2
 
4.3%
2018(1) 2
 
4.3%
2021(1) 2
 
4.3%
2008(1),2019(1) 1
 
2.2%
2019(1) 1
 
2.2%
2015(2) 1
 
2.2%
2014(1),2021(1) 1
 
2.2%
Other values (7) 7
15.2%

Length

2023-12-13T08:45:24.534557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2016(1 15
31.2%
2012(1 12
25.0%
2019(1 3
 
6.2%
2015(1 2
 
4.2%
2017(2 2
 
4.2%
2018(1 2
 
4.2%
2021(1 2
 
4.2%
2010(2),2019(1),2021(2 1
 
2.1%
2017(3 1
 
2.1%
2009(2 1
 
2.1%
Other values (7) 7
14.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
울산광역시 중구청
46 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 중구청
2nd row울산광역시 중구청
3rd row울산광역시 중구청
4th row울산광역시 중구청
5th row울산광역시 중구청

Common Values

ValueCountFrequency (%)
울산광역시 중구청 46
100.0%

Length

2023-12-13T08:45:24.686908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:45:24.760656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 46
50.0%
중구청 46
50.0%

관리기관전화번호
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
052-290-4067
39 
052-290-3396
7 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-290-4067
2nd row052-290-4067
3rd row052-290-4067
4th row052-290-4067
5th row052-290-4067

Common Values

ValueCountFrequency (%)
052-290-4067 39
84.8%
052-290-3396 7
 
15.2%

Length

2023-12-13T08:45:24.848116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:45:24.939517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-290-4067 39
84.8%
052-290-3396 7
 
15.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-06-08
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-08
2nd row2023-06-08
3rd row2023-06-08
4th row2023-06-08
5th row2023-06-08

Common Values

ValueCountFrequency (%)
2023-06-08 46
100.0%

Length

2023-12-13T08:45:25.025307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:45:25.121598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-08 46
100.0%

Correlations

2023-12-13T08:45:25.173551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치 시설설치 위치설치년도(설치대수)관리기관전화번호
설치 시설1.0001.0001.0001.000
설치 위치1.0001.0000.7981.000
설치년도(설치대수)1.0000.7981.0000.414
관리기관전화번호1.0001.0000.4141.000
2023-12-13T08:45:25.272310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도(설치대수)관리기관전화번호
설치년도(설치대수)1.0000.291
관리기관전화번호0.2911.000
2023-12-13T08:45:25.354183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도(설치대수)관리기관전화번호
설치년도(설치대수)1.0000.291
관리기관전화번호0.2911.000

Missing values

2023-12-13T08:45:22.751940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:45:22.864184image/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

시도명시구군명설치 시설설치 위치설치년도(설치대수)관리기관명관리기관전화번호데이터기준일
0울산광역시중구재해문자전광판(중구청 서문)단장골길 12016(1)울산광역시 중구청052-290-40672023-06-08
1울산광역시중구재해문자전광판(성남배수장 앞 강북로)강북로 872016(1)울산광역시 중구청052-290-40672023-06-08
2울산광역시중구재해문자전광판(서원배수장)반구정16길 242016(1)울산광역시 중구청052-290-40672023-06-08
3울산광역시중구재해문자전광판(반구배수장)반구정16길 362016(1)울산광역시 중구청052-290-40672023-06-08
4울산광역시중구재해문자전광판(내황배수장)내황14길 942016(1)울산광역시 중구청052-290-40672023-06-08
5울산광역시중구재해문자전광판(옥교배수장)옥교로 502016(1)울산광역시 중구청052-290-40672023-06-08
6울산광역시중구재해문자전광판(성남배수장)강북로 872016(1)울산광역시 중구청052-290-40672023-06-08
7울산광역시중구재해문자전광판(산전배수장)산전길 40-52017(1)울산광역시 중구청052-290-40672023-06-08
8울산광역시중구재해문자전광판(태화강국가정원)태화동 800번지2021(1)울산광역시 중구청052-290-40672023-06-08
9울산광역시중구자동음성통보시스템(학성동 행정복지센터)구교로 922021(1)울산광역시 중구청052-290-40672023-06-08
시도명시구군명설치 시설설치 위치설치년도(설치대수)관리기관명관리기관전화번호데이터기준일
36울산광역시중구재난상황감시용 CCTV(장현저류지)장현동 229-22016(1)울산광역시 중구청052-290-40672023-06-08
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