Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory42.6 B

Variable types

Categorical3
Text2

Dataset

Description울산광역시 환경소음측정망 현황(측정지역, 측정지점, 용도구분, 지역구분, 법적구분 등) 정보를 제공하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15083210/fileData.do

Alerts

법적구분 is highly overall correlated with 용도구분High correlation
용도구분 is highly overall correlated with 법적구분High correlation
측정지점 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:46:00.960088
Analysis finished2024-03-14 12:46:01.852181
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법적구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
나
20 
가
10 
다
10 
라
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
나 20
40.0%
가 10
20.0%
다 10
20.0%
라 10
20.0%

Length

2024-03-14T21:46:02.057924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:46:02.586219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나 20
40.0%
가 10
20.0%
다 10
20.0%
라 10
20.0%

용도구분
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
녹지
5 
전용주거
5 
일반주거 ①
5 
일반주거 ②
5 
일반주거 ③
5 
Other values (5)
25 

Length

Max length6
Median length5
Mean length4.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
녹지 5
10.0%
전용주거 5
10.0%
일반주거 ① 5
10.0%
일반주거 ② 5
10.0%
일반주거 ③ 5
10.0%
일반주거 ④ 5
10.0%
상업 ① 5
10.0%
상업 ② 5
10.0%
전용 공업 5
10.0%
일반 공업 5
10.0%

Length

2024-03-14T21:46:02.852107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:46:03.085799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반주거 20
22.2%
① 10
11.1%
② 10
11.1%
상업 10
11.1%
공업 10
11.1%
녹지 5
 
5.6%
전용주거 5
 
5.6%
③ 5
 
5.6%
④ 5
 
5.6%
전용 5
 
5.6%

측정지역
Text

Distinct26
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-14T21:46:03.837763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15.5
Mean length10.8
Min length6

Characters and Unicode

Total characters540
Distinct characters49
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

Unique20 ?
Unique (%)40.0%

Sample

1st row남구 옥동 일원
2nd row남구 옥동 일원
3rd row남구 옥동 일원
4th row남구 옥동 일원
5th row남구 옥동 일원
ValueCountFrequency (%)
남구 20
 
13.3%
일원 20
 
13.3%
울주군 15
 
10.0%
온산공단 5
 
3.3%
옥동 5
 
3.3%
동구 5
 
3.3%
호계·신청동 5
 
3.3%
주변 5
 
3.3%
천상리 5
 
3.3%
범서읍 5
 
3.3%
Other values (28) 60
40.0%
2024-03-14T21:46:04.815727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
18.5%
동 45
 
8.3%
구 35
 
6.5%
남 25
 
4.6%
주 20
 
3.7%
일 20
 
3.7%
원 20
 
3.7%
산 20
 
3.7%
울 20
 
3.7%
군 15
 
2.8%
Other values (39) 220
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 415
76.9%
Space Separator 100
 
18.5%
Decimal Number 20
 
3.7%
Other Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
 
10.8%
구 35
 
8.4%
남 25
 
6.0%
주 20
 
4.8%
일 20
 
4.8%
원 20
 
4.8%
산 20
 
4.8%
울 20
 
4.8%
군 15
 
3.6%
읍 15
 
3.6%
Other values (31) 180
43.4%
Decimal Number
ValueCountFrequency (%)
5 4
20.0%
2 4
20.0%
4 4
20.0%
3 4
20.0%
1 2
10.0%
6 2
10.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Other Punctuation
ValueCountFrequency (%)
· 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 415
76.9%
Common 125
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
 
10.8%
구 35
 
8.4%
남 25
 
6.0%
주 20
 
4.8%
일 20
 
4.8%
원 20
 
4.8%
산 20
 
4.8%
울 20
 
4.8%
군 15
 
3.6%
읍 15
 
3.6%
Other values (31) 180
43.4%
Common
ValueCountFrequency (%)
100
80.0%
· 5
 
4.0%
5 4
 
3.2%
2 4
 
3.2%
4 4
 
3.2%
3 4
 
3.2%
1 2
 
1.6%
6 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 415
76.9%
ASCII 120
 
22.2%
None 5
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
83.3%
5 4
 
3.3%
2 4
 
3.3%
4 4
 
3.3%
3 4
 
3.3%
1 2
 
1.7%
6 2
 
1.7%
Hangul
ValueCountFrequency (%)
동 45
 
10.8%
구 35
 
8.4%
남 25
 
6.0%
주 20
 
4.8%
일 20
 
4.8%
원 20
 
4.8%
산 20
 
4.8%
울 20
 
4.8%
군 15
 
3.6%
읍 15
 
3.6%
Other values (31) 180
43.4%
None
ValueCountFrequency (%)
· 5
100.0%

지역구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
일반
30 
도로
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반
3rd row일반
4th row도로
5th row도로

Common Values

ValueCountFrequency (%)
일반 30
60.0%
도로 20
40.0%

Length

2024-03-14T21:46:05.232385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:46:05.531278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 30
60.0%
도로 20
40.0%

측정지점
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-14T21:46:06.397661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25.5
Mean length11.8
Min length4

Characters and Unicode

Total characters590
Distinct characters197
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row준공기념비 앞
2nd row호랑이발광장
3rd row용의 발 광장
4th row대공원 정문앞
5th row월드메르디앙101동앞
ValueCountFrequency (%)
앞 10
 
9.7%
앞(구 5
 
4.9%
옆 2
 
1.9%
정문 2
 
1.9%
맞은편 2
 
1.9%
농협빌딩 1
 
1.0%
언양매일상가시장 1
 
1.0%
언양종합상가시장 1
 
1.0%
스마트폰365아울렛 1
 
1.0%
중앙호텔앞 1
 
1.0%
Other values (77) 77
74.8%
2024-03-14T21:46:07.747677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
9.2%
앞 23
 
3.9%
) 17
 
2.9%
구 17
 
2.9%
( 17
 
2.9%
주 12
 
2.0%
공 11
 
1.9%
장 11
 
1.9%
산 11
 
1.9%
아 10
 
1.7%
Other values (187) 407
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
78.5%
Space Separator 54
 
9.2%
Uppercase Letter 19
 
3.2%
Close Punctuation 18
 
3.1%
Open Punctuation 18
 
3.1%
Decimal Number 14
 
2.4%
Other Punctuation 2
 
0.3%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 23
 
5.0%
구 17
 
3.7%
주 12
 
2.6%
공 11
 
2.4%
장 11
 
2.4%
산 11
 
2.4%
아 10
 
2.2%
지 9
 
1.9%
원 8
 
1.7%
관 8
 
1.7%
Other values (159) 343
74.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
15.8%
G 2
 
10.5%
S 2
 
10.5%
M 1
 
5.3%
J 1
 
5.3%
X 1
 
5.3%
B 1
 
5.3%
P 1
 
5.3%
A 1
 
5.3%
F 1
 
5.3%
Other values (5) 5
26.3%
Decimal Number
ValueCountFrequency (%)
1 6
42.9%
0 3
21.4%
3 2
 
14.3%
5 1
 
7.1%
6 1
 
7.1%
2 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 17
94.4%
] 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 17
94.4%
[ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
78.8%
Common 106
 
18.0%
Latin 19
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 23
 
4.9%
구 17
 
3.7%
주 12
 
2.6%
공 11
 
2.4%
장 11
 
2.4%
산 11
 
2.4%
아 10
 
2.2%
지 9
 
1.9%
원 8
 
1.7%
관 8
 
1.7%
Other values (160) 345
74.2%
Latin
ValueCountFrequency (%)
K 3
15.8%
G 2
 
10.5%
S 2
 
10.5%
M 1
 
5.3%
J 1
 
5.3%
X 1
 
5.3%
B 1
 
5.3%
P 1
 
5.3%
A 1
 
5.3%
F 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
54
50.9%
) 17
 
16.0%
( 17
 
16.0%
1 6
 
5.7%
0 3
 
2.8%
3 2
 
1.9%
, 2
 
1.9%
] 1
 
0.9%
5 1
 
0.9%
[ 1
 
0.9%
Other values (2) 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
78.5%
ASCII 125
 
21.2%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
43.2%
) 17
 
13.6%
( 17
 
13.6%
1 6
 
4.8%
K 3
 
2.4%
0 3
 
2.4%
3 2
 
1.6%
G 2
 
1.6%
, 2
 
1.6%
S 2
 
1.6%
Other values (17) 17
 
13.6%
Hangul
ValueCountFrequency (%)
앞 23
 
5.0%
구 17
 
3.7%
주 12
 
2.6%
공 11
 
2.4%
장 11
 
2.4%
산 11
 
2.4%
아 10
 
2.2%
지 9
 
1.9%
원 8
 
1.7%
관 8
 
1.7%
Other values (159) 343
74.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

Correlations

2024-03-14T21:46:08.011425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법적구분용도구분측정지역지역구분측정지점
법적구분1.0001.0001.0000.0001.000
용도구분1.0001.0001.0000.0001.000
측정지역1.0001.0001.0000.0001.000
지역구분0.0000.0000.0001.0001.000
측정지점1.0001.0001.0001.0001.000
2024-03-14T21:46:08.283749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법적구분용도구분지역구분
법적구분1.0000.9330.000
용도구분0.9331.0000.000
지역구분0.0000.0001.000
2024-03-14T21:46:08.521579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법적구분용도구분지역구분
법적구분1.0000.9330.000
용도구분0.9331.0000.000
지역구분0.0000.0001.000

Missing values

2024-03-14T21:46:01.410253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:46:01.729322image/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

법적구분용도구분측정지역지역구분측정지점
0가녹지남구 옥동 일원일반준공기념비 앞
1가녹지남구 옥동 일원일반호랑이발광장
2가녹지남구 옥동 일원일반용의 발 광장
3가녹지남구 옥동 일원도로대공원 정문앞
4가녹지남구 옥동 일원도로월드메르디앙101동앞
5가전용주거울주군 범서읍 천상리 일원일반경동태원하이빌관리사무소
6가전용주거울주군 범서읍 천상리 일원일반중부종합사회복지관(구 천상복지회관)
7가전용주거울주군 범서읍 천상리 일원일반벽산아파트관리사무소앞
8가전용주거울주군 범서읍 천상리 일원도로천상제일교회
9가전용주거울주군 범서읍 천상리 일원도로범서교회(구 천상교회)
법적구분용도구분측정지역지역구분측정지점
40라전용 공업남구 여천동일반KPX케미칼 앞
41라전용 공업남구 여천동일반바스프컬러스앤이펙츠코리아(주)(구 한국BASF㈜)
42라전용 공업남구 여천동일반부산레이저절단 앞(구 송원산업,부산레이저)
43라전용 공업남구 여천동도로광남산업㈜
44라전용 공업남구 여천동도로송원산업정문
45라일반 공업울주군 온산읍 화산리 온산공단 일원일반GS엔텍 화산공장 앞[구 (주)대경테크노스 앞]
46라일반 공업울주군 온산읍 화산리 온산공단 일원일반조선선재(주) 앞
47라일반 공업울주군 온산읍 화산리 온산공단 일원일반신일공업 앞
48라일반 공업울주군 온산읍 화산리 온산공단 일원도로LG화학(주) 정문 맞은편
49라일반 공업울주군 온산읍 화산리 온산공단 일원도로JMC(주) 정문 맞은편