Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells1
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory44.9 B

Variable types

Text3
Categorical2

Dataset

Description울산광역시 남구 폐기물 재활용업체 현황에 대한 데이터로 시설명, 소재지도로명주소, 전화번호, 수거지역 데이터 기준일자 항목을 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/3076236/fileData.do

Alerts

수거지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 1 (3.8%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:49:36.678171
Analysis finished2024-03-14 20:49:37.490235
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T05:49:38.061929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.1923077
Min length3

Characters and Unicode

Total characters161
Distinct characters74
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row대영상사
2nd row대영기업
3rd row지구자원
4th row㈜덕산자원
5th row대웅상사
ValueCountFrequency (%)
주식회사 2
 
6.5%
대영상사 1
 
3.2%
㈜동주산업 1
 
3.2%
우리철재 1
 
3.2%
㈜자연산업 1
 
3.2%
에스케이에코프라임 1
 
3.2%
㈜비엠테크 1
 
3.2%
울산(울산2공장 1
 
3.2%
에너지 1
 
3.2%
㈜에코비트 1
 
3.2%
Other values (20) 20
64.5%
2024-03-15T05:49:38.996921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 14
 
8.7%
에 8
 
5.0%
산 8
 
5.0%
업 6
 
3.7%
5
 
3.1%
사 5
 
3.1%
자 4
 
2.5%
케 4
 
2.5%
이 4
 
2.5%
티 4
 
2.5%
Other values (64) 99
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
86.3%
Other Symbol 14
 
8.7%
Space Separator 5
 
3.1%
Open Punctuation 1
 
0.6%
Decimal Number 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 8
 
5.8%
산 8
 
5.8%
업 6
 
4.3%
사 5
 
3.6%
자 4
 
2.9%
케 4
 
2.9%
이 4
 
2.9%
티 4
 
2.9%
비 4
 
2.9%
주 4
 
2.9%
Other values (59) 88
63.3%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
95.0%
Common 8
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 14
 
9.2%
에 8
 
5.2%
산 8
 
5.2%
업 6
 
3.9%
사 5
 
3.3%
자 4
 
2.6%
케 4
 
2.6%
이 4
 
2.6%
티 4
 
2.6%
비 4
 
2.6%
Other values (60) 92
60.1%
Common
ValueCountFrequency (%)
5
62.5%
( 1
 
12.5%
2 1
 
12.5%
) 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
86.3%
None 14
 
8.7%
ASCII 8
 
5.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 14
100.0%
Hangul
ValueCountFrequency (%)
에 8
 
5.8%
산 8
 
5.8%
업 6
 
4.3%
사 5
 
3.6%
자 4
 
2.9%
케 4
 
2.9%
이 4
 
2.9%
티 4
 
2.9%
비 4
 
2.9%
주 4
 
2.9%
Other values (59) 88
63.3%
ASCII
ValueCountFrequency (%)
5
62.5%
( 1
 
12.5%
2 1
 
12.5%
) 1
 
12.5%

소재지도로명주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T05:49:39.705709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length21.076923
Min length15

Characters and Unicode

Total characters548
Distinct characters52
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

Unique24 ?
Unique (%)92.3%

Sample

1st row울산광역시 남구 산업로585번길 12(여천동)
2nd row울산광역시 남구 여천로 174(여천동)
3rd row울산광역시 남구 납도로 220(여천동)
4th row울산광역시 남구 여천로 180(여천동)
5th row울산광역시 남구 화합로 86번길 34(여천동)
ValueCountFrequency (%)
울산광역시 26
24.5%
남구 26
24.5%
여천로 5
 
4.7%
처용로 5
 
4.7%
용잠로 3
 
2.8%
납도로 3
 
2.8%
583-87 2
 
1.9%
718(황성동 2
 
1.9%
220(여천동 1
 
0.9%
418 1
 
0.9%
Other values (32) 32
30.2%
2024-03-15T05:49:40.888005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
14.6%
산 29
 
5.3%
울 26
 
4.7%
광 26
 
4.7%
역 26
 
4.7%
시 26
 
4.7%
남 26
 
4.7%
구 26
 
4.7%
로 25
 
4.6%
동 22
 
4.0%
Other values (42) 236
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
62.0%
Decimal Number 84
 
15.3%
Space Separator 80
 
14.6%
Close Punctuation 21
 
3.8%
Open Punctuation 21
 
3.8%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 29
 
8.5%
울 26
 
7.6%
광 26
 
7.6%
역 26
 
7.6%
시 26
 
7.6%
남 26
 
7.6%
구 26
 
7.6%
로 25
 
7.4%
동 22
 
6.5%
천 17
 
5.0%
Other values (28) 91
26.8%
Decimal Number
ValueCountFrequency (%)
8 17
20.2%
1 12
14.3%
2 11
13.1%
5 9
10.7%
3 8
9.5%
7 6
 
7.1%
4 6
 
7.1%
6 6
 
7.1%
9 5
 
6.0%
0 4
 
4.8%
Space Separator
ValueCountFrequency (%)
80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
62.0%
Common 208
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 29
 
8.5%
울 26
 
7.6%
광 26
 
7.6%
역 26
 
7.6%
시 26
 
7.6%
남 26
 
7.6%
구 26
 
7.6%
로 25
 
7.4%
동 22
 
6.5%
천 17
 
5.0%
Other values (28) 91
26.8%
Common
ValueCountFrequency (%)
80
38.5%
) 21
 
10.1%
( 21
 
10.1%
8 17
 
8.2%
1 12
 
5.8%
2 11
 
5.3%
5 9
 
4.3%
3 8
 
3.8%
7 6
 
2.9%
4 6
 
2.9%
Other values (4) 17
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
62.0%
ASCII 208
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
38.5%
) 21
 
10.1%
( 21
 
10.1%
8 17
 
8.2%
1 12
 
5.8%
2 11
 
5.3%
5 9
 
4.3%
3 8
 
3.8%
7 6
 
2.9%
4 6
 
2.9%
Other values (4) 17
 
8.2%
Hangul
ValueCountFrequency (%)
산 29
 
8.5%
울 26
 
7.6%
광 26
 
7.6%
역 26
 
7.6%
시 26
 
7.6%
남 26
 
7.6%
구 26
 
7.6%
로 25
 
7.4%
동 22
 
6.5%
천 17
 
5.0%
Other values (28) 91
26.8%

전화번호
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing1
Missing (%)3.8%
Memory size336.0 B
2024-03-15T05:49:41.593019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row052-261-5845
2nd row052-260-9944
3rd row052-258-8876
4th row052-257-2148
5th row052-265-3799
ValueCountFrequency (%)
052-265-0331 2
 
8.0%
052-260-5581 1
 
4.0%
052-258-6471 1
 
4.0%
052-260-9478 1
 
4.0%
052-279-1933 1
 
4.0%
052-256-8660 1
 
4.0%
052-257-6904 1
 
4.0%
052-278-7583 1
 
4.0%
052-276-3914 1
 
4.0%
052-222-1616 1
 
4.0%
Other values (14) 14
56.0%
2024-03-15T05:49:42.617761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 54
18.0%
- 50
16.7%
5 43
14.3%
0 39
13.0%
6 26
8.7%
7 22
7.3%
1 16
 
5.3%
9 14
 
4.7%
3 13
 
4.3%
8 12
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 54
21.6%
5 43
17.2%
0 39
15.6%
6 26
10.4%
7 22
8.8%
1 16
 
6.4%
9 14
 
5.6%
3 13
 
5.2%
8 12
 
4.8%
4 11
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 54
18.0%
- 50
16.7%
5 43
14.3%
0 39
13.0%
6 26
8.7%
7 22
7.3%
1 16
 
5.3%
9 14
 
4.7%
3 13
 
4.3%
8 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 54
18.0%
- 50
16.7%
5 43
14.3%
0 39
13.0%
6 26
8.7%
7 22
7.3%
1 16
 
5.3%
9 14
 
4.7%
3 13
 
4.3%
8 12
 
4.0%

수거지역
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
제한없음
26 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한없음 26
100.0%

Length

2024-03-15T05:49:43.039152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:49:43.337466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 26
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
2023-11-27
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-27
2nd row2023-11-27
3rd row2023-11-27
4th row2023-11-27
5th row2023-11-27

Common Values

ValueCountFrequency (%)
2023-11-27 26
100.0%

Length

2024-03-15T05:49:43.647105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:49:43.949740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-27 26
100.0%

Correlations

2024-03-15T05:49:44.133991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지도로명주소전화번호
시설명1.0001.0001.000
소재지도로명주소1.0001.0000.987
전화번호1.0000.9871.000

Missing values

2024-03-15T05:49:37.111056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:49:37.422358image/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

시설명소재지도로명주소전화번호수거지역데이터기준일자
0대영상사울산광역시 남구 산업로585번길 12(여천동)052-261-5845제한없음2023-11-27
1대영기업울산광역시 남구 여천로 174(여천동)052-260-9944제한없음2023-11-27
2지구자원울산광역시 남구 납도로 220(여천동)052-258-8876제한없음2023-11-27
3㈜덕산자원울산광역시 남구 여천로 180(여천동)052-257-2148제한없음2023-11-27
4대웅상사울산광역시 남구 화합로 86번길 34(여천동)052-265-3799제한없음2023-11-27
5㈜금창울산광역시 남구 장생포고래로 183번길 54(장생포동)052-260-7191제한없음2023-11-27
6㈜한국특수산업울산광역시 남구 처용로 562(성암동)052-257-7591제한없음2023-11-27
7애경케미칼 주식회사울산공장울산광역시 남구 상개로 81(상개동)052-259-8490제한없음2023-11-27
8에스케이멀티유틸리티 주식회사울산광역시 남구 처용로 718(황성동)052-279-1723제한없음2023-11-27
9협성기업울산광역시 남구 산업로340번길 16(선암동)052-271-7737제한없음2023-11-27
시설명소재지도로명주소전화번호수거지역데이터기준일자
16㈜농비울산광역시 남구 용잠로 583-87052-265-0331제한없음2023-11-27
17㈜케이오에스울산광역시 남구 여천로 198052-222-1616제한없음2023-11-27
18㈜에너텍울산광역시 남구 신여천로99(여천동)052-276-3914제한없음2023-11-27
19효성티앤씨울산광역시 남구 납도로 30(매암동)052-278-7583제한없음2023-11-27
20㈜에코비트 에너지 울산(울산2공장)울산광역시 남구 여천로 228(여천동)052-257-6904제한없음2023-11-27
21㈜비엠테크울산광역시 남구 납도로 222(여천동)052-256-8660제한없음2023-11-27
22에스케이에코프라임 주식회사울산광역시 남구 처용로 718(황성동)052-279-1933제한없음2023-11-27
23㈜자연산업울산광역시 남구 여천로 236052-260-9478제한없음2023-11-27
24우리철재울산광역시 남구 상개동 56<NA>제한없음2023-11-27
25㈜에너지파크울산광역시 남구 처용로 695(황성동)052-267-1000제한없음2023-11-27