Overview

Dataset statistics

Number of variables7
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.6%
Total size in memory8.6 KiB
Average record size in memory56.9 B

Variable types

Categorical2
Text3
DateTime2

Dataset

Description경기도 양주시 폐기물 처리업 현황입니다. 이와 관련된 데이터로서 업소명, 대표자,소재지,처리대상 폐기물 등을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3076971/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
Dataset has 1 (0.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 06:03:27.624411
Analysis finished2023-12-12 06:03:28.080288
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐기물 수집운반업
49 
폐기물 종합재활용업
44 
폐기물 중간재활용업
35 
건설폐기물 중간처리업
12 
폐기물 최종재활용업
11 

Length

Max length11
Median length10
Mean length9.7354839
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐기물 수집운반업
2nd row폐기물 수집운반업
3rd row폐기물 수집운반업
4th row폐기물 수집운반업
5th row폐기물 수집운반업

Common Values

ValueCountFrequency (%)
폐기물 수집운반업 49
31.6%
폐기물 종합재활용업 44
28.4%
폐기물 중간재활용업 35
22.6%
건설폐기물 중간처리업 12
 
7.7%
폐기물 최종재활용업 11
 
7.1%
폐기물 중간처분업 4
 
2.6%

Length

2023-12-12T15:03:28.166384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:03:28.316067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물 143
46.1%
수집운반업 49
 
15.8%
종합재활용업 44
 
14.2%
중간재활용업 35
 
11.3%
건설폐기물 12
 
3.9%
중간처리업 12
 
3.9%
최종재활용업 11
 
3.5%
중간처분업 4
 
1.3%

시설명
Text

Distinct144
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T15:03:28.591263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.8967742
Min length3

Characters and Unicode

Total characters914
Distinct characters192
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)87.1%

Sample

1st row양주환경㈜
2nd row성일환경㈜
3rd row크린양주
4th row뉴하나개발㈜
5th row덕정환경㈜
ValueCountFrequency (%)
그린스톤산업㈜ 3
 
1.9%
산양환경산업㈜ 3
 
1.9%
비젼케미칼 2
 
1.2%
금강도시환경(주 2
 
1.2%
㈜대아산업개발 2
 
1.2%
㈜가나에너지 2
 
1.2%
㈜한덕 2
 
1.2%
㈜영신물산 2
 
1.2%
주)강북공영 2
 
1.2%
유한책임회사 2
 
1.2%
Other values (139) 139
86.3%
2023-12-12T15:03:29.046577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 74
 
8.1%
경 37
 
4.0%
환 35
 
3.8%
산 33
 
3.6%
주 30
 
3.3%
업 28
 
3.1%
( 22
 
2.4%
) 22
 
2.4%
스 20
 
2.2%
대 20
 
2.2%
Other values (182) 593
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
85.3%
Other Symbol 74
 
8.1%
Open Punctuation 22
 
2.4%
Close Punctuation 22
 
2.4%
Uppercase Letter 8
 
0.9%
Space Separator 6
 
0.7%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 37
 
4.7%
환 35
 
4.5%
산 33
 
4.2%
주 30
 
3.8%
업 28
 
3.6%
스 20
 
2.6%
대 20
 
2.6%
이 19
 
2.4%
에 18
 
2.3%
양 16
 
2.1%
Other values (168) 524
67.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
12.5%
Y 1
12.5%
C 1
12.5%
R 1
12.5%
K 1
12.5%
S 1
12.5%
D 1
12.5%
H 1
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
. 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 854
93.4%
Common 52
 
5.7%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 74
 
8.7%
경 37
 
4.3%
환 35
 
4.1%
산 33
 
3.9%
주 30
 
3.5%
업 28
 
3.3%
스 20
 
2.3%
대 20
 
2.3%
이 19
 
2.2%
에 18
 
2.1%
Other values (169) 540
63.2%
Latin
ValueCountFrequency (%)
T 1
12.5%
Y 1
12.5%
C 1
12.5%
R 1
12.5%
K 1
12.5%
S 1
12.5%
D 1
12.5%
H 1
12.5%
Common
ValueCountFrequency (%)
( 22
42.3%
) 22
42.3%
6
 
11.5%
/ 1
 
1.9%
. 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
85.3%
None 74
 
8.1%
ASCII 60
 
6.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 74
100.0%
Hangul
ValueCountFrequency (%)
경 37
 
4.7%
환 35
 
4.5%
산 33
 
4.2%
주 30
 
3.8%
업 28
 
3.6%
스 20
 
2.6%
대 20
 
2.6%
이 19
 
2.4%
에 18
 
2.3%
양 16
 
2.1%
Other values (168) 524
67.2%
ASCII
ValueCountFrequency (%)
( 22
36.7%
) 22
36.7%
6
 
10.0%
/ 1
 
1.7%
T 1
 
1.7%
Y 1
 
1.7%
C 1
 
1.7%
R 1
 
1.7%
K 1
 
1.7%
. 1
 
1.7%
Other values (3) 3
 
5.0%

소재지
Text

Distinct148
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T15:03:29.309889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length18.651613
Min length10

Characters and Unicode

Total characters2891
Distinct characters93
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)91.6%

Sample

1st row양주시 권율로 1398번길 137
2nd row양주시 삼육사로 190-37
3rd row양주시 화합로 720번길 178-38
4th row양주시 화합로 1325번길 111
5th row양주시 용암로 142-131
ValueCountFrequency (%)
양주시 163
25.7%
은현면 38
 
6.0%
남면 37
 
5.8%
광적면 33
 
5.2%
화합로 21
 
3.3%
은현로 11
 
1.7%
현석로 11
 
1.7%
백석읍 10
 
1.6%
그루고개로 9
 
1.4%
운하로 7
 
1.1%
Other values (227) 295
46.5%
2023-12-12T15:03:29.730750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
483
 
16.7%
양 166
 
5.7%
주 166
 
5.7%
시 163
 
5.6%
로 141
 
4.9%
1 123
 
4.3%
3 111
 
3.8%
2 109
 
3.8%
면 109
 
3.8%
- 86
 
3.0%
Other values (83) 1234
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1502
52.0%
Decimal Number 791
27.4%
Space Separator 483
 
16.7%
Dash Punctuation 86
 
3.0%
Open Punctuation 10
 
0.3%
Close Punctuation 10
 
0.3%
Other Punctuation 6
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 166
 
11.1%
주 166
 
11.1%
시 163
 
10.9%
로 141
 
9.4%
면 109
 
7.3%
길 75
 
5.0%
번 69
 
4.6%
현 65
 
4.3%
은 53
 
3.5%
광 39
 
2.6%
Other values (65) 456
30.4%
Decimal Number
ValueCountFrequency (%)
1 123
15.5%
3 111
14.0%
2 109
13.8%
4 81
10.2%
5 79
10.0%
0 63
8.0%
6 60
7.6%
8 57
7.2%
9 56
7.1%
7 52
6.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
483
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1502
52.0%
Common 1386
47.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 166
 
11.1%
주 166
 
11.1%
시 163
 
10.9%
로 141
 
9.4%
면 109
 
7.3%
길 75
 
5.0%
번 69
 
4.6%
현 65
 
4.3%
은 53
 
3.5%
광 39
 
2.6%
Other values (65) 456
30.4%
Common
ValueCountFrequency (%)
483
34.8%
1 123
 
8.9%
3 111
 
8.0%
2 109
 
7.9%
- 86
 
6.2%
4 81
 
5.8%
5 79
 
5.7%
0 63
 
4.5%
6 60
 
4.3%
8 57
 
4.1%
Other values (5) 134
 
9.7%
Latin
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1502
52.0%
ASCII 1389
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
483
34.8%
1 123
 
8.9%
3 111
 
8.0%
2 109
 
7.8%
- 86
 
6.2%
4 81
 
5.8%
5 79
 
5.7%
0 63
 
4.5%
6 60
 
4.3%
8 57
 
4.1%
Other values (8) 137
 
9.9%
Hangul
ValueCountFrequency (%)
양 166
 
11.1%
주 166
 
11.1%
시 163
 
10.9%
로 141
 
9.4%
면 109
 
7.3%
길 75
 
5.0%
번 69
 
4.6%
현 65
 
4.3%
은 53
 
3.5%
광 39
 
2.6%
Other values (65) 456
30.4%

허가일자
Date

Distinct139
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1993-04-27 00:00:00
Maximum2021-11-25 00:00:00
2023-12-12T15:03:30.172149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:03:30.312552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처리대상 폐기물
Text

Distinct102
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T15:03:30.553311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length175
Median length44
Mean length17.303226
Min length3

Characters and Unicode

Total characters2682
Distinct characters150
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)51.6%

Sample

1st row생활폐기물
2nd row생활폐기물
3rd row생활폐기물
4th row생활폐기물
5th row생활폐기물
ValueCountFrequency (%)
폐합성수지 37
 
9.2%
폐섬유 18
 
4.5%
폐섬유류 15
 
3.7%
폐목재류 13
 
3.2%
폐합성고무 12
 
3.0%
폐기물 9
 
2.2%
생활폐기물 8
 
2.0%
음식물류 8
 
2.0%
사업장배출시설계 8
 
2.0%
폐합성수지류 8
 
2.0%
Other values (143) 267
66.3%
2023-12-12T15:03:30.941626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 347
 
12.9%
, 261
 
9.7%
253
 
9.4%
성 120
 
4.5%
합 114
 
4.3%
류 112
 
4.2%
지 94
 
3.5%
수 84
 
3.1%
유 72
 
2.7%
물 66
 
2.5%
Other values (140) 1159
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1995
74.4%
Other Punctuation 261
 
9.7%
Space Separator 253
 
9.4%
Uppercase Letter 93
 
3.5%
Open Punctuation 33
 
1.2%
Close Punctuation 33
 
1.2%
Decimal Number 8
 
0.3%
Lowercase Letter 4
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 347
 
17.4%
성 120
 
6.0%
합 114
 
5.7%
류 112
 
5.6%
지 94
 
4.7%
수 84
 
4.2%
유 72
 
3.6%
물 66
 
3.3%
기 61
 
3.1%
섬 55
 
2.8%
Other values (120) 870
43.6%
Uppercase Letter
ValueCountFrequency (%)
P 47
50.5%
E 19
20.4%
S 7
 
7.5%
T 6
 
6.5%
V 4
 
4.3%
C 3
 
3.2%
B 3
 
3.2%
A 3
 
3.2%
U 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
2 2
25.0%
3 2
25.0%
1 2
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 3
75.0%
e 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
, 261
100.0%
Space Separator
ValueCountFrequency (%)
253
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1995
74.4%
Common 590
 
22.0%
Latin 97
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 347
 
17.4%
성 120
 
6.0%
합 114
 
5.7%
류 112
 
5.6%
지 94
 
4.7%
수 84
 
4.2%
유 72
 
3.6%
물 66
 
3.3%
기 61
 
3.1%
섬 55
 
2.8%
Other values (120) 870
43.6%
Latin
ValueCountFrequency (%)
P 47
48.5%
E 19
19.6%
S 7
 
7.2%
T 6
 
6.2%
V 4
 
4.1%
C 3
 
3.1%
B 3
 
3.1%
p 3
 
3.1%
A 3
 
3.1%
e 1
 
1.0%
Common
ValueCountFrequency (%)
, 261
44.2%
253
42.9%
( 33
 
5.6%
) 33
 
5.6%
- 2
 
0.3%
0 2
 
0.3%
2 2
 
0.3%
3 2
 
0.3%
1 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1995
74.4%
ASCII 687
 
25.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 347
 
17.4%
성 120
 
6.0%
합 114
 
5.7%
류 112
 
5.6%
지 94
 
4.7%
수 84
 
4.2%
유 72
 
3.6%
물 66
 
3.3%
기 61
 
3.1%
섬 55
 
2.8%
Other values (120) 870
43.6%
ASCII
ValueCountFrequency (%)
, 261
38.0%
253
36.8%
P 47
 
6.8%
( 33
 
4.8%
) 33
 
4.8%
E 19
 
2.8%
S 7
 
1.0%
T 6
 
0.9%
V 4
 
0.6%
C 3
 
0.4%
Other values (10) 21
 
3.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
양주시 청소행정과
155 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시 청소행정과
2nd row양주시 청소행정과
3rd row양주시 청소행정과
4th row양주시 청소행정과
5th row양주시 청소행정과

Common Values

ValueCountFrequency (%)
양주시 청소행정과 155
100.0%

Length

2023-12-12T15:03:31.098363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:03:31.217169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 155
50.0%
청소행정과 155
50.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-06-13 00:00:00
Maximum2023-06-13 00:00:00
2023-12-12T15:03:31.315087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:03:31.429854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T15:03:27.905360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:03:28.023673image/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

업종명시설명소재지허가일자처리대상 폐기물관리기관명데이터기준일
0폐기물 수집운반업양주환경㈜양주시 권율로 1398번길 1371997-03-25생활폐기물양주시 청소행정과2023-06-13
1폐기물 수집운반업성일환경㈜양주시 삼육사로 190-371993-12-30생활폐기물양주시 청소행정과2023-06-13
2폐기물 수집운반업크린양주양주시 화합로 720번길 178-382007-05-04생활폐기물양주시 청소행정과2023-06-13
3폐기물 수집운반업뉴하나개발㈜양주시 화합로 1325번길 1112002-12-18생활폐기물양주시 청소행정과2023-06-13
4폐기물 수집운반업덕정환경㈜양주시 용암로 142-1311997-03-25생활폐기물양주시 청소행정과2023-06-13
5폐기물 수집운반업그린환경㈜양주시 화합로 610번길 30-3651997-03-25생활폐기물양주시 청소행정과2023-06-13
6폐기물 수집운반업친환경개발양주시 그루고개로6342011-08-23생활폐기물양주시 청소행정과2023-06-13
7폐기물 수집운반업한마음협동조합양주시 덕계동 373-92014-01-09생활폐기물양주시 청소행정과2023-06-13
8폐기물 수집운반업대진산업㈜양주시 광적면 부흥로573번길 137-51995-06-20사업장배출시설계양주시 청소행정과2023-06-13
9폐기물 수집운반업㈜가나에너지양주시 남면 삼일로485번길 78-7(상수리)1993-04-27사업장배출시설계양주시 청소행정과2023-06-13
업종명시설명소재지허가일자처리대상 폐기물관리기관명데이터기준일
145건설폐기물 중간처리업대흥에 유한책임회사양주시 은현면 운하로 289번길 3301997-08-08폐콘크리트, 폐아스팔트콘크리트, 폐벽돌, 폐블럭, 폐기와, 건설오니, 건설폐토석, 혼합건설폐기물양주시 청소행정과2023-06-13
146건설폐기물 중간처리업산양환경산업(주)양주시 은현면 그루고개로 403-341998-02-05폐콘크리트, 폐아스팔트콘크리트, 폐벽돌,폐기와, 건설오니, 건설폐토석, 혼합건설폐기물양주시 청소행정과2023-06-13
147건설폐기물 중간처리업삼양아스콘 주식회사양주시 양주시 광적면 부흥로 841-232015-03-30폐아스콘양주시 청소행정과2023-06-13
148건설폐기물 중간처리업그린스톤산업㈜양주시 은현면 용암로 143-331995-12-14폐콘크리트, 폐아스팔트콘크리트, 폐벽돌, 폐블럭, 폐기와, 건설오니, 건설폐토석, 혼합건설폐기물양주시 청소행정과2023-06-13
149건설폐기물 중간처리업소원아스콘㈜양주시 은현면 화합로969번길 572012-09-05폐아스콘양주시 청소행정과2023-06-13
150건설폐기물 중간처리업㈜대성아스콘양주시 양주시 광적면 화합로 270-172013-11-07폐아스콘, 폐콘크리트양주시 청소행정과2023-06-13
151건설폐기물 중간처리업㈜대아산업개발양주시 양주시 백석읍 연곡로 281996-05-10폐콘크리트, 폐아스팔트콘크리트, 폐벽돌, 폐블럭, 폐기와, 건설폐토석, 혼합건설폐기물양주시 청소행정과2023-06-13
152건설폐기물 중간처리업㈜동녘양주시 양주시 광적면 화합로 2762014-02-24폐아스콘양주시 청소행정과2023-06-13
153건설폐기물 중간처리업㈜현대아스콘양주시 양주시 남면 화합로610번길 2-242014-02-24폐아스콘양주시 청소행정과2023-06-13
154건설폐기물 중간처리업태형기업(주)양주시 양주시 남면 삼일로 5452007-10-01폐아스콘, 건설폐토석양주시 청소행정과2023-06-13

Duplicate rows

Most frequently occurring

업종명시설명소재지허가일자처리대상 폐기물관리기관명데이터기준일# duplicates
0폐기물 종합재활용업비젼케미칼양주시 남면 화합로 610번길 30-3112007-10-10폐합성수지양주시 청소행정과2023-06-132