Overview

Dataset statistics

Number of variables6
Number of observations149
Missing cells33
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory49.9 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 서구 폐기물수집운반업 현황에 관한 데이터입니다. 연번, 업종, 상호, 전화번호 등의 항목이 제공됩니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15121158/fileData.do

Alerts

업종 has constant value ""Constant
전화번호 has 33 (22.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:13:40.830372
Analysis finished2023-12-12 10:13:41.643204
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75
Minimum1
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T19:13:41.741369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.4
Q138
median75
Q3112
95-th percentile141.6
Maximum149
Range148
Interquartile range (IQR)74

Descriptive statistics

Standard deviation43.156691
Coefficient of variation (CV)0.57542255
Kurtosis-1.2
Mean75
Median Absolute Deviation (MAD)37
Skewness0
Sum11175
Variance1862.5
MonotonicityStrictly increasing
2023-12-12T19:13:41.956189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (139) 139
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐기물수집운반업
149 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐기물수집운반업 149
100.0%

Length

2023-12-12T19:13:42.442930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:42.584112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물수집운반업 149
100.0%

상호
Text

Distinct136
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:13:42.932592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length6.261745
Min length3

Characters and Unicode

Total characters933
Distinct characters196
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)83.2%

Sample

1st row(주)동하실업
2nd row(주)동하실업
3rd row경인환경에너지(주)
4th row㈜장형기업
5th row㈜아이케이
ValueCountFrequency (%)
충북자원 3
 
1.9%
㈜유성엔텍 2
 
1.2%
㈜금광개발 2
 
1.2%
인천지점 2
 
1.2%
㈜영보산업 2
 
1.2%
선진환경 2
 
1.2%
㈜대건산업개발 2
 
1.2%
㈜제이에코텍 2
 
1.2%
㈜서구환경 2
 
1.2%
㈜단원환경 2
 
1.2%
Other values (135) 140
87.0%
2023-12-12T19:13:43.501156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 92
 
9.9%
이 37
 
4.0%
경 33
 
3.5%
업 30
 
3.2%
환 29
 
3.1%
산 28
 
3.0%
원 22
 
2.4%
에 21
 
2.3%
스 18
 
1.9%
) 18
 
1.9%
Other values (186) 605
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 740
79.3%
Other Symbol 92
 
9.9%
Lowercase Letter 25
 
2.7%
Close Punctuation 18
 
1.9%
Open Punctuation 18
 
1.9%
Space Separator 16
 
1.7%
Uppercase Letter 13
 
1.4%
Other Punctuation 10
 
1.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 37
 
5.0%
경 33
 
4.5%
업 30
 
4.1%
환 29
 
3.9%
산 28
 
3.8%
원 22
 
3.0%
에 21
 
2.8%
스 18
 
2.4%
인 17
 
2.3%
발 16
 
2.2%
Other values (160) 489
66.1%
Lowercase Letter
ValueCountFrequency (%)
d 5
20.0%
o 5
20.0%
t 3
12.0%
y 2
 
8.0%
n 2
 
8.0%
i 2
 
8.0%
c 2
 
8.0%
g 1
 
4.0%
r 1
 
4.0%
e 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
L 3
23.1%
S 3
23.1%
I 2
15.4%
Y 2
15.4%
E 1
 
7.7%
C 1
 
7.7%
D 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
, 3
30.0%
& 1
 
10.0%
Other Symbol
ValueCountFrequency (%)
㈜ 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 832
89.2%
Common 63
 
6.8%
Latin 38
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 92
 
11.1%
이 37
 
4.4%
경 33
 
4.0%
업 30
 
3.6%
환 29
 
3.5%
산 28
 
3.4%
원 22
 
2.6%
에 21
 
2.5%
스 18
 
2.2%
인 17
 
2.0%
Other values (161) 505
60.7%
Latin
ValueCountFrequency (%)
d 5
13.2%
o 5
13.2%
t 3
 
7.9%
L 3
 
7.9%
S 3
 
7.9%
y 2
 
5.3%
n 2
 
5.3%
I 2
 
5.3%
Y 2
 
5.3%
i 2
 
5.3%
Other values (8) 9
23.7%
Common
ValueCountFrequency (%)
) 18
28.6%
( 18
28.6%
16
25.4%
. 6
 
9.5%
, 3
 
4.8%
& 1
 
1.6%
2 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 740
79.3%
ASCII 101
 
10.8%
None 92
 
9.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 92
100.0%
Hangul
ValueCountFrequency (%)
이 37
 
5.0%
경 33
 
4.5%
업 30
 
4.1%
환 29
 
3.9%
산 28
 
3.8%
원 22
 
3.0%
에 21
 
2.8%
스 18
 
2.4%
인 17
 
2.3%
발 16
 
2.2%
Other values (160) 489
66.1%
ASCII
ValueCountFrequency (%)
) 18
17.8%
( 18
17.8%
16
15.8%
. 6
 
5.9%
d 5
 
5.0%
o 5
 
5.0%
t 3
 
3.0%
L 3
 
3.0%
, 3
 
3.0%
S 3
 
3.0%
Other values (15) 21
20.8%

전화번호
Text

MISSING 

Distinct105
Distinct (%)90.5%
Missing33
Missing (%)22.1%
Memory size1.3 KiB
2023-12-12T19:13:43.870833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1392
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

Unique94 ?
Unique (%)81.0%

Sample

1st row032-575-2171
2nd row032-575-2171
3rd row032-567-2929
4th row032-562-1658
5th row032-563-3114
ValueCountFrequency (%)
032-563-5738 2
 
1.7%
032-561-1886 2
 
1.7%
032-567-0181 2
 
1.7%
032-577-0675 2
 
1.7%
032-567-7567 2
 
1.7%
032-566-7187 2
 
1.7%
032-264-0075 2
 
1.7%
032-572-3220 2
 
1.7%
032-575-2171 2
 
1.7%
032-582-6811 2
 
1.7%
Other values (95) 96
82.8%
2023-12-12T19:13:44.389981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 232
16.7%
2 185
13.3%
0 184
13.2%
3 178
12.8%
5 159
11.4%
6 112
8.0%
7 96
6.9%
1 82
 
5.9%
8 77
 
5.5%
4 45
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1160
83.3%
Dash Punctuation 232
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 185
15.9%
0 184
15.9%
3 178
15.3%
5 159
13.7%
6 112
9.7%
7 96
8.3%
1 82
7.1%
8 77
6.6%
4 45
 
3.9%
9 42
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 232
16.7%
2 185
13.3%
0 184
13.2%
3 178
12.8%
5 159
11.4%
6 112
8.0%
7 96
6.9%
1 82
 
5.9%
8 77
 
5.5%
4 45
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 232
16.7%
2 185
13.3%
0 184
13.2%
3 178
12.8%
5 159
11.4%
6 112
8.0%
7 96
6.9%
1 82
 
5.9%
8 77
 
5.5%
4 45
 
3.2%

주소
Text

Distinct136
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:13:44.679533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length20.241611
Min length10

Characters and Unicode

Total characters3016
Distinct characters158
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

Unique124 ?
Unique (%)83.2%

Sample

1st row북항로31번길 45,202호(석남동,라온프라자)
2nd row북항로31번길 45,202호(석남동,라온프라자)
3rd row사렴로65번길 24(경서동)
4th row검단천로 203(오류동)
5th row검단천로 151(오류동)
ValueCountFrequency (%)
완정로 17
 
3.7%
원당대로 11
 
2.4%
봉수대로 7
 
1.5%
석남동 6
 
1.3%
두루물로 5
 
1.1%
검단로 5
 
1.1%
4층 5
 
1.1%
158 5
 
1.1%
왕길동 5
 
1.1%
승학로 5
 
1.1%
Other values (308) 393
84.7%
2023-12-12T19:13:45.144424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
316
 
10.5%
1 164
 
5.4%
동 157
 
5.2%
로 149
 
4.9%
( 140
 
4.6%
) 140
 
4.6%
, 127
 
4.2%
2 108
 
3.6%
4 90
 
3.0%
0 87
 
2.9%
Other values (148) 1538
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1402
46.5%
Decimal Number 854
28.3%
Space Separator 316
 
10.5%
Open Punctuation 140
 
4.6%
Close Punctuation 140
 
4.6%
Other Punctuation 127
 
4.2%
Dash Punctuation 36
 
1.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 157
 
11.2%
로 149
 
10.6%
길 85
 
6.1%
호 69
 
4.9%
번 64
 
4.6%
층 39
 
2.8%
대 35
 
2.5%
검 29
 
2.1%
마 28
 
2.0%
오 28
 
2.0%
Other values (132) 719
51.3%
Decimal Number
ValueCountFrequency (%)
1 164
19.2%
2 108
12.6%
4 90
10.5%
0 87
10.2%
3 84
9.8%
5 83
9.7%
6 65
 
7.6%
7 65
 
7.6%
8 57
 
6.7%
9 51
 
6.0%
Space Separator
ValueCountFrequency (%)
316
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Other Punctuation
ValueCountFrequency (%)
, 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1613
53.5%
Hangul 1402
46.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 157
 
11.2%
로 149
 
10.6%
길 85
 
6.1%
호 69
 
4.9%
번 64
 
4.6%
층 39
 
2.8%
대 35
 
2.5%
검 29
 
2.1%
마 28
 
2.0%
오 28
 
2.0%
Other values (132) 719
51.3%
Common
ValueCountFrequency (%)
316
19.6%
1 164
10.2%
( 140
8.7%
) 140
8.7%
, 127
7.9%
2 108
 
6.7%
4 90
 
5.6%
0 87
 
5.4%
3 84
 
5.2%
5 83
 
5.1%
Other values (5) 274
17.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1614
53.5%
Hangul 1402
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
316
19.6%
1 164
10.2%
( 140
8.7%
) 140
8.7%
, 127
7.9%
2 108
 
6.7%
4 90
 
5.6%
0 87
 
5.4%
3 84
 
5.2%
5 83
 
5.1%
Other values (6) 275
17.0%
Hangul
ValueCountFrequency (%)
동 157
 
11.2%
로 149
 
10.6%
길 85
 
6.1%
호 69
 
4.9%
번 64
 
4.6%
층 39
 
2.8%
대 35
 
2.5%
검 29
 
2.1%
마 28
 
2.0%
오 28
 
2.0%
Other values (132) 719
51.3%

폐기물종류
Text

Distinct119
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:13:45.453188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length922
Median length273
Mean length123.78523
Min length5

Characters and Unicode

Total characters18444
Distinct characters262
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)75.2%

Sample

1st row사업장배출시설계 폐기물
2nd row사업장생활계
3rd row사업장배출시설계
4th row건설폐기물
5th row건설폐기물
ValueCountFrequency (%)
그 123
 
5.0%
밖의 120
 
4.8%
말한다 53
 
2.1%
제외한다 43
 
1.7%
폐합성수지류(폐염화비닐수지류는 37
 
1.5%
및 37
 
1.5%
51-03-01 36
 
1.5%
사용된 26
 
1.0%
건설폐기물 25
 
1.0%
목재를 25
 
1.0%
Other values (624) 1952
78.8%
2023-12-12T19:13:45.934441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2525
 
13.7%
- 1232
 
6.7%
0 1030
 
5.6%
폐 922
 
5.0%
1 905
 
4.9%
, 866
 
4.7%
5 597
 
3.2%
2 371
 
2.0%
류 341
 
1.8%
( 337
 
1.8%
Other values (252) 9318
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9192
49.8%
Decimal Number 3831
20.8%
Space Separator 2525
 
13.7%
Dash Punctuation 1232
 
6.7%
Other Punctuation 899
 
4.9%
Open Punctuation 371
 
2.0%
Close Punctuation 371
 
2.0%
Math Symbol 17
 
0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 922
 
10.0%
류 341
 
3.7%
재 316
 
3.4%
물 275
 
3.0%
기 243
 
2.6%
성 226
 
2.5%
합 226
 
2.5%
의 225
 
2.4%
목 218
 
2.4%
지 205
 
2.2%
Other values (220) 5995
65.2%
Decimal Number
ValueCountFrequency (%)
0 1030
26.9%
1 905
23.6%
5 597
15.6%
2 371
 
9.7%
9 302
 
7.9%
3 265
 
6.9%
4 157
 
4.1%
8 81
 
2.1%
7 79
 
2.1%
6 44
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 866
96.3%
· 10
 
1.1%
: 9
 
1.0%
? 8
 
0.9%
. 3
 
0.3%
" 2
 
0.2%
; 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
P 3
50.0%
C 1
 
16.7%
B 1
 
16.7%
Q 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 337
90.8%
「 20
 
5.4%
[ 14
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 332
89.5%
」 24
 
6.5%
] 15
 
4.0%
Math Symbol
ValueCountFrequency (%)
~ 11
64.7%
< 3
 
17.6%
> 3
 
17.6%
Space Separator
ValueCountFrequency (%)
2525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9246
50.1%
Hangul 9192
49.8%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 922
 
10.0%
류 341
 
3.7%
재 316
 
3.4%
물 275
 
3.0%
기 243
 
2.6%
성 226
 
2.5%
합 226
 
2.5%
의 225
 
2.4%
목 218
 
2.4%
지 205
 
2.2%
Other values (220) 5995
65.2%
Common
ValueCountFrequency (%)
2525
27.3%
- 1232
13.3%
0 1030
11.1%
1 905
 
9.8%
, 866
 
9.4%
5 597
 
6.5%
2 371
 
4.0%
( 337
 
3.6%
) 332
 
3.6%
9 302
 
3.3%
Other values (18) 749
 
8.1%
Latin
ValueCountFrequency (%)
P 3
50.0%
C 1
 
16.7%
B 1
 
16.7%
Q 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9198
49.9%
Hangul 9190
49.8%
None 54
 
0.3%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2525
27.5%
- 1232
13.4%
0 1030
11.2%
1 905
 
9.8%
, 866
 
9.4%
5 597
 
6.5%
2 371
 
4.0%
( 337
 
3.7%
) 332
 
3.6%
9 302
 
3.3%
Other values (19) 701
 
7.6%
Hangul
ValueCountFrequency (%)
폐 922
 
10.0%
류 341
 
3.7%
재 316
 
3.4%
물 275
 
3.0%
기 243
 
2.6%
성 226
 
2.5%
합 226
 
2.5%
의 225
 
2.4%
목 218
 
2.4%
지 205
 
2.2%
Other values (219) 5993
65.2%
None
ValueCountFrequency (%)
」 24
44.4%
「 20
37.0%
· 10
18.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

Interactions

2023-12-12T19:13:41.263932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T19:13:41.437189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:13:41.594406image/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

연번업종상호전화번호주소폐기물종류
01폐기물수집운반업(주)동하실업032-575-2171북항로31번길 45,202호(석남동,라온프라자)사업장배출시설계 폐기물
12폐기물수집운반업(주)동하실업032-575-2171북항로31번길 45,202호(석남동,라온프라자)사업장생활계
23폐기물수집운반업경인환경에너지(주)032-567-2929사렴로65번길 24(경서동)사업장배출시설계
34폐기물수집운반업㈜장형기업032-562-1658검단천로 203(오류동)건설폐기물
45폐기물수집운반업㈜아이케이032-563-3114검단천로 151(오류동)건설폐기물
56폐기물수집운반업㈜아이케이032-563-3114검단천로 151(오류동)사업장배출시설계(고상)
67폐기물수집운반업㈜부성환경032-568-1009왕길동 64-101, 1동건설폐기물, 사업장배출시설계
78폐기물수집운반업(주)새움032-561-4222원당대로480번길 10(왕길동)사업배출
89폐기물수집운반업세원임산032-566-3573원당대로206번길 30(오류동)사업장생활계폐기물(임목,폐목재류)
910폐기물수집운반업(주)유성엔텍032-582-6811완정로 158, 755호 (마전동)사업장배출시설계(고상)
연번업종상호전화번호주소폐기물종류
139140폐기물수집운반업㈜미래이앤씨<NA>길주로 79, 8379호 (석남동)51-03-01 폐합성수지류(폐염화비닐수지류는 제외한다), 51-20-02 제재부산물(원목 가공과정에서 발생되는 나무 껍질, 톱밥, 대패밥 등을 말한다), 51-20-03 목재가공공장 부산물(원목상태의 깨끗한 목재부산물 및 분진을 말한다), 51-99-00 그 밖의 폐기물
140141폐기물수집운반업㈜인천기계032-858-9197거북로 119번길 20, 102호 (석남동)51-03-99 그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다)
141142폐기물수집운반업태광전자032-584-0881거북로24번길 18 (석남동)51-03-01 폐합성수지류(폐염화비닐수지류는 제외한다), 51-03-99 그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다), 51-04-99 그 밖의 광재류, 51-10-02 폐이온교환수지51-18-02 산업용폐전기전자제품, 51-18-99 그 밖의 폐전기전자제품류, 51-29-01 고철 51-29-02 비철금속, 51-29-99 그 밖의 폐금속류, 51-30-01 폐유리 51-41-01 1차폐전지(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조제4호에 해당하는 것을 말한다), 51-41-02 2차폐전지, 51-41-03 2차폐축전지(지정폐기물 중 폐황산이 포함된 2차폐축전지는 제외한다), 51-41-04 폐태양전지ㆍ전자기기페이스트ㆍ태양광 폐패널, 51-41-05 전기자동차 폐배터리
142143폐기물수집운반업선우산업개발㈜032-569-5061길무로171, 2층 (오류동)51-03-01 폐합성수지(폐염화비닐수지류는 제외한다), 51-03-02 폐합성고무51-20-99 그 밖의 폐목재류, 51-27-02 폐합성섬유
143144폐기물수집운반업태산환경<NA>거북로17, 나동 318호 (석남동)51-27-99 그 밖의 폐섬유(의료기관 일회용기저귀에 한함)
144145폐기물수집운반업대진상사032-564-0454길무로177번길 25 (오류동)51-03-01 폐합성수지류(폐염화비닐수지류는 제외한다), 51-03-02 폐합성고무류 51-20-99 그 밖의 폐목재류, 51-27-02 폐합성섬유
145146폐기물수집운반업올바른환경032-562-8788검단로 784, 퀸스타운길훈아파트상가 306호(불로동)51-03-01 폐합성수지류(폐염화비닐수지류는 제외한다), 51-05-99 그 밖의 분진 51-20-06 폐가구류, 폐도장목, 폐목재포장재, 폐전선드럼(원목상태의 깨끗한 목재를 말한다) 51-27-02 폐합성섬유
146147폐기물수집운반업선진철재<NA>거북로 18, 1층(석남동)51-03-01 폐합성수지류(폐염화비닐수지류는 제외한다), 51-03-02 폐합성고무류 51-03-03 폐폴리염화비닐수지류, 51-03-04 폐폴리우레탄폼류, 51-03-07 플라스틱폐포장재 51-03-99 그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다) 51-20-06 폐가구류, 폐도장목, 폐목재포장재, 폐전선드럼(원목상태의 깨끗한 목재를 말한다) 51-20-07 폐가구류, 폐도장목, 폐목재포장재, 폐전선드럼(접착제, 페인트, 기름, 콘크리트 등의 물질이 사용된 목재를 말한다), 51-20-08 폐가구류, 폐도장목, 폐목재포장재, 폐전선 드럼 (할로겐족 유기화합물 또는 방부제가 사용된 목재를 말한다), 51-20-99 그 밖의 폐목재류, 51-29-01 고철, 51-29-02 비철금속, 51-29-03 폐금속캔류(「자원의 절약과 재활용촉진 에 관한 법률 시행령」 제18조제1호에 해당하는 것을 말한다), 51-29-04 폐금속용기류(폐금속 캔류는 제외한다), 51-29-99 그 밖의 폐금속류, 51-30-01 폐유리, 51-30-02 폐유리병류 (「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조제1호에 해당하는 것을 말한다), 51-30-03 폐스마트유리, 51-30-04 폐유리섬유, 51-30-05 수은함유폐기물 처리잔재물 [수은함유폐기물을 처리하는 과정에서 발생되는 것과 폐형광등을 재활용하는 과정에서 발생되는 것을 포함하되, 폐기물공정시험기준에 따른 용출시험 결과 용출액 1리터당 0.005 밀리그램 미만의 수은 및 그 화합물이 함유된 것으로 한정한다(이하 "수은폐기물이 아닌 수은 함유폐기물 처리잔재물"이라 한다)], 51-30-99 그 밖의 폐유리, 51-31-00 폐타일, 51-32-00 폐보드류, 51-33-00 폐판넬, 51-99-00 그 밖의 폐기물
147148폐기물수집운반업드림이앤아이(E&I)032-563-2316봉수대로 1344-20(왕길동)51-03-01 폐합성수지류(폐염화비닐수지류는 제외한다), 51-03-03 폐폴리염화비닐수지류 51-03-06 폐발포합성수지, 51-18-02 산업용폐전기전자제품 51-20-09 산업현장의 실외목재구조물에서 발생되는 폐목재, 폐선박 및 차량에서 나오는 목재, 건축물 화재현장에서 발생한 폐목재, 냉각탑, 산업용 바닥재 등에 사용된 폐목재
148149폐기물수집운반업㈜드림산업 인천지점<NA>검단로188번길 19(오류동)51-03-01 폐합성수지류(폐염화비닐수지류는 제외한다), 51-03-02 폐합성고무류, 51-03-03 폐폴리염화비닐수지류, 51-03-04 폐폴리우레탄폼류, 51-03-05 양식용폐부자, 51-03-06 폐발포합성수지, 51-03-07 플라스틱폐포장재, 51-03-08 폐어망, 51-03-99 그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다), 51-15-01 자동차 폐타이어, 51-15-02 그 밖의 폐타이어, 51-18-01 가정용폐전기전자제품, 51-18-02 산업용폐전기전자제품, 51-18-03 프린트토너 및 카트리지폐부속품, 51-18-99 그 밖의 폐전기전자제품류, 51-27-01 폐천연섬유, 51-27-02 폐합성섬유, 51-27-03 폐의류, 51-27-99 그 밖의 폐섬유, 51-28-01 폐종이팩(「자원의 절약과 재활용촉진에 관한 법률 시행령」제18조제1호에 해당하는 것을 말한다) 51-28-02 폐종이류, 51-28-03 폐벽지, 51-29-01 고철, 51-29-02 비철금속, 51-29-03 폐금속캔류 (「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조 제1호에 해당하는 것을 말한다) 51-29-04 폐금속용기류(폐금속캔류는 제외한다), 51-29-99 그 밖의 폐금속류