Overview

Dataset statistics

Number of variables7
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory58.8 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description2023년 광주광역시 폐기물재활용업 현황입니다. 업체명, 대표자명, 소재지, 영업대상폐기물을 포함합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15056401/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:12:17.978533
Analysis finished2023-12-12 13:12:19.134941
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.5
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T22:12:19.216491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.65
Q119.25
median37.5
Q355.75
95-th percentile70.35
Maximum74
Range73
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.505813
Coefficient of variation (CV)0.57348835
Kurtosis-1.2
Mean37.5
Median Absolute Deviation (MAD)18.5
Skewness0
Sum2775
Variance462.5
MonotonicityStrictly increasing
2023-12-12T22:12:19.378029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
폐기물 중간재활용업
37 
폐기물 종합재활용업
36 
폐기물 최종재활용업
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐기물 중간재활용업 37
50.0%
폐기물 종합재활용업 36
48.6%
폐기물 최종재활용업 1
 
1.4%

Length

2023-12-12T22:12:19.578000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:12:19.735010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물 74
50.0%
중간재활용업 37
25.0%
종합재활용업 36
24.3%
최종재활용업 1
 
0.7%

업체명
Text

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T22:12:19.995265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.3918919
Min length3

Characters and Unicode

Total characters473
Distinct characters151
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

Unique72 ?
Unique (%)97.3%

Sample

1st row정주산업(유)
2nd row거성산업
3rd row대원산업
4th row㈜무등자원
5th row㈜조선물산
ValueCountFrequency (%)
광주지점 3
 
3.6%
㈜ 2
 
2.4%
㈜성신 2
 
2.4%
대성이엔비(주 1
 
1.2%
대흥산업 1
 
1.2%
유)초지구 1
 
1.2%
㈜한국스치로폴 1
 
1.2%
㈜정우화학 1
 
1.2%
㈜조선우드 1
 
1.2%
㈜고속에너지 1
 
1.2%
Other values (69) 69
83.1%
2023-12-12T22:12:20.440800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 38
 
8.0%
( 16
 
3.4%
) 16
 
3.4%
업 16
 
3.4%
산 15
 
3.2%
주 14
 
3.0%
원 12
 
2.5%
지 12
 
2.5%
대 11
 
2.3%
10
 
2.1%
Other values (141) 313
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
82.5%
Other Symbol 38
 
8.0%
Open Punctuation 16
 
3.4%
Close Punctuation 16
 
3.4%
Space Separator 10
 
2.1%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 16
 
4.1%
산 15
 
3.8%
주 14
 
3.6%
원 12
 
3.1%
지 12
 
3.1%
대 11
 
2.8%
성 10
 
2.6%
에 10
 
2.6%
자 9
 
2.3%
유 8
 
2.1%
Other values (134) 273
70.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
90.5%
Common 43
 
9.1%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 38
 
8.9%
업 16
 
3.7%
산 15
 
3.5%
주 14
 
3.3%
원 12
 
2.8%
지 12
 
2.8%
대 11
 
2.6%
성 10
 
2.3%
에 10
 
2.3%
자 9
 
2.1%
Other values (135) 281
65.7%
Common
ValueCountFrequency (%)
( 16
37.2%
) 16
37.2%
10
23.3%
& 1
 
2.3%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
82.5%
ASCII 45
 
9.5%
None 38
 
8.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 38
100.0%
ASCII
ValueCountFrequency (%)
( 16
35.6%
) 16
35.6%
10
22.2%
C 1
 
2.2%
& 1
 
2.2%
P 1
 
2.2%
Hangul
ValueCountFrequency (%)
업 16
 
4.1%
산 15
 
3.8%
주 14
 
3.6%
원 12
 
3.1%
지 12
 
3.1%
대 11
 
2.8%
성 10
 
2.6%
에 10
 
2.6%
자 9
 
2.3%
유 8
 
2.1%
Other values (134) 273
70.0%

대표자
Text

Distinct72
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T22:12:20.758269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.3918919
Min length3

Characters and Unicode

Total characters251
Distinct characters105
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

Unique70 ?
Unique (%)94.6%

Sample

1st row강명수
2nd row박희구
3rd row노태진
4th row송정덕
5th row박상종
ValueCountFrequency (%)
김호진 2
 
2.6%
김동훈 2
 
2.6%
선연담 1
 
1.3%
이병노 1
 
1.3%
오세윤 1
 
1.3%
2명 1
 
1.3%
외 1
 
1.3%
김성모 1
 
1.3%
김태수 1
 
1.3%
위광복(구 1
 
1.3%
Other values (66) 66
84.6%
2023-12-12T22:12:21.211781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 27
 
10.8%
박 9
 
3.6%
정 8
 
3.2%
이 8
 
3.2%
선 6
 
2.4%
진 6
 
2.4%
수 6
 
2.4%
호 5
 
2.0%
성 5
 
2.0%
재 4
 
1.6%
Other values (95) 167
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
96.0%
Space Separator 4
 
1.6%
Other Punctuation 3
 
1.2%
Decimal Number 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 27
 
11.2%
박 9
 
3.7%
정 8
 
3.3%
이 8
 
3.3%
선 6
 
2.5%
진 6
 
2.5%
수 6
 
2.5%
호 5
 
2.1%
성 5
 
2.1%
재 4
 
1.7%
Other values (90) 157
65.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
96.0%
Common 10
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 27
 
11.2%
박 9
 
3.7%
정 8
 
3.3%
이 8
 
3.3%
선 6
 
2.5%
진 6
 
2.5%
수 6
 
2.5%
호 5
 
2.1%
성 5
 
2.1%
재 4
 
1.7%
Other values (90) 157
65.1%
Common
ValueCountFrequency (%)
4
40.0%
, 3
30.0%
2 1
 
10.0%
) 1
 
10.0%
( 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
96.0%
ASCII 10
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 27
 
11.2%
박 9
 
3.7%
정 8
 
3.3%
이 8
 
3.3%
선 6
 
2.5%
진 6
 
2.5%
수 6
 
2.5%
호 5
 
2.1%
성 5
 
2.1%
재 4
 
1.7%
Other values (90) 157
65.1%
ASCII
ValueCountFrequency (%)
4
40.0%
, 3
30.0%
2 1
 
10.0%
) 1
 
10.0%
( 1
 
10.0%

소재지
Text

Distinct72
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T22:12:21.525340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length25.22973
Min length16

Characters and Unicode

Total characters1867
Distinct characters109
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)94.6%

Sample

1st row광주광역시 서구 하남대로550번길 39-6(동천동)
2nd row광주광역시 서구 벽진학두길 19(벽진동)
3rd row광주광역시 서구 풍서좌로 305-1(매월동)
4th row광주광역시 북구 동배들길 33(동림동)
5th row광주광역시 북구 하남대로 505(동림동)
ValueCountFrequency (%)
광주광역시 75
24.8%
광산구 59
19.5%
평동산단외로 9
 
3.0%
북구 9
 
3.0%
양일로 3
 
1.0%
3
 
1.0%
하남산단3번로 3
 
1.0%
서구 3
 
1.0%
도천남길 3
 
1.0%
남구 3
 
1.0%
Other values (119) 132
43.7%
2023-12-12T22:12:22.031688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
 
12.3%
광 210
 
11.2%
동 106
 
5.7%
산 87
 
4.7%
주 76
 
4.1%
역 75
 
4.0%
시 75
 
4.0%
구 74
 
4.0%
) 72
 
3.9%
( 72
 
3.9%
Other values (99) 791
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1167
62.5%
Decimal Number 292
 
15.6%
Space Separator 229
 
12.3%
Close Punctuation 72
 
3.9%
Open Punctuation 72
 
3.9%
Dash Punctuation 31
 
1.7%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 210
18.0%
동 106
 
9.1%
산 87
 
7.5%
주 76
 
6.5%
역 75
 
6.4%
시 75
 
6.4%
구 74
 
6.3%
로 56
 
4.8%
길 30
 
2.6%
남 24
 
2.1%
Other values (83) 354
30.3%
Decimal Number
ValueCountFrequency (%)
1 60
20.5%
2 42
14.4%
3 40
13.7%
0 30
10.3%
6 27
9.2%
4 23
 
7.9%
5 22
 
7.5%
9 20
 
6.8%
7 15
 
5.1%
8 13
 
4.5%
Other Punctuation
ValueCountFrequency (%)
: 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1167
62.5%
Common 700
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 210
18.0%
동 106
 
9.1%
산 87
 
7.5%
주 76
 
6.5%
역 75
 
6.4%
시 75
 
6.4%
구 74
 
6.3%
로 56
 
4.8%
길 30
 
2.6%
남 24
 
2.1%
Other values (83) 354
30.3%
Common
ValueCountFrequency (%)
229
32.7%
) 72
 
10.3%
( 72
 
10.3%
1 60
 
8.6%
2 42
 
6.0%
3 40
 
5.7%
- 31
 
4.4%
0 30
 
4.3%
6 27
 
3.9%
4 23
 
3.3%
Other values (6) 74
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1167
62.5%
ASCII 700
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
32.7%
) 72
 
10.3%
( 72
 
10.3%
1 60
 
8.6%
2 42
 
6.0%
3 40
 
5.7%
- 31
 
4.4%
0 30
 
4.3%
6 27
 
3.9%
4 23
 
3.3%
Other values (6) 74
 
10.6%
Hangul
ValueCountFrequency (%)
광 210
18.0%
동 106
 
9.1%
산 87
 
7.5%
주 76
 
6.5%
역 75
 
6.4%
시 75
 
6.4%
구 74
 
6.3%
로 56
 
4.8%
길 30
 
2.6%
남 24
 
2.1%
Other values (83) 354
30.3%

대상폐기물
Text

Distinct62
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T22:12:22.336062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length162
Median length37
Mean length24.5
Min length3

Characters and Unicode

Total characters1813
Distinct characters140
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)74.3%

Sample

1st row폐합성수지
2nd row폐가전
3rd row폐가전
4th row폐스티로폼, 폐지, 금속캔, 폐합성수지
5th row폐지, 폐용기류, 칩 등 금속류, 폐합성수지, 폐스티로폼
ValueCountFrequency (%)
폐합성수지 14
 
6.1%
중 11
 
4.8%
사업장일반폐기물 7
 
3.1%
및 5
 
2.2%
등 5
 
2.2%
폐합성수지류(51-03-01 5
 
2.2%
생활폐기물 5
 
2.2%
고철 4
 
1.7%
사업장 4
 
1.7%
pe 4
 
1.7%
Other values (117) 165
72.1%
2023-12-12T22:12:22.803551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 170
 
9.4%
158
 
8.7%
, 105
 
5.8%
성 66
 
3.6%
합 63
 
3.5%
( 63
 
3.5%
) 62
 
3.4%
지 60
 
3.3%
물 59
 
3.3%
수 52
 
2.9%
Other values (130) 955
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1166
64.3%
Space Separator 158
 
8.7%
Decimal Number 143
 
7.9%
Other Punctuation 113
 
6.2%
Open Punctuation 66
 
3.6%
Close Punctuation 65
 
3.6%
Uppercase Letter 64
 
3.5%
Dash Punctuation 38
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 170
 
14.6%
성 66
 
5.7%
합 63
 
5.4%
지 60
 
5.1%
물 59
 
5.1%
수 52
 
4.5%
기 50
 
4.3%
장 31
 
2.7%
업 31
 
2.7%
사 31
 
2.7%
Other values (102) 553
47.4%
Decimal Number
ValueCountFrequency (%)
1 37
25.9%
0 37
25.9%
3 22
15.4%
5 17
11.9%
2 11
 
7.7%
9 8
 
5.6%
6 4
 
2.8%
7 4
 
2.8%
4 2
 
1.4%
8 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 32
50.0%
S 10
 
15.6%
E 8
 
12.5%
A 5
 
7.8%
B 5
 
7.8%
V 2
 
3.1%
C 2
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 105
92.9%
· 5
 
4.4%
※ 1
 
0.9%
: 1
 
0.9%
/ 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 63
95.5%
[ 3
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 62
95.4%
] 3
 
4.6%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1166
64.3%
Common 583
32.2%
Latin 64
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 170
 
14.6%
성 66
 
5.7%
합 63
 
5.4%
지 60
 
5.1%
물 59
 
5.1%
수 52
 
4.5%
기 50
 
4.3%
장 31
 
2.7%
업 31
 
2.7%
사 31
 
2.7%
Other values (102) 553
47.4%
Common
ValueCountFrequency (%)
158
27.1%
, 105
18.0%
( 63
 
10.8%
) 62
 
10.6%
- 38
 
6.5%
1 37
 
6.3%
0 37
 
6.3%
3 22
 
3.8%
5 17
 
2.9%
2 11
 
1.9%
Other values (11) 33
 
5.7%
Latin
ValueCountFrequency (%)
P 32
50.0%
S 10
 
15.6%
E 8
 
12.5%
A 5
 
7.8%
B 5
 
7.8%
V 2
 
3.1%
C 2
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1166
64.3%
ASCII 641
35.4%
None 5
 
0.3%
Punctuation 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 170
 
14.6%
성 66
 
5.7%
합 63
 
5.4%
지 60
 
5.1%
물 59
 
5.1%
수 52
 
4.5%
기 50
 
4.3%
장 31
 
2.7%
업 31
 
2.7%
사 31
 
2.7%
Other values (102) 553
47.4%
ASCII
ValueCountFrequency (%)
158
24.6%
, 105
16.4%
( 63
 
9.8%
) 62
 
9.7%
- 38
 
5.9%
1 37
 
5.8%
0 37
 
5.8%
P 32
 
5.0%
3 22
 
3.4%
5 17
 
2.7%
Other values (16) 70
10.9%
None
ValueCountFrequency (%)
· 5
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T22:12:22.951589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:23.039294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:12:18.821684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:12:23.117388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분업체명대표자소재지대상폐기물
연번1.0000.8100.9470.8710.8830.881
구분0.8101.0000.8930.8170.8170.000
업체명0.9470.8931.0001.0001.0000.991
대표자0.8710.8171.0001.0000.9990.986
소재지0.8830.8171.0000.9991.0000.986
대상폐기물0.8810.0000.9910.9860.9861.000
2023-12-12T22:12:23.212818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.670
구분0.6701.000

Missing values

2023-12-12T22:12:18.946806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:12:19.076551image/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

연번구분업체명대표자소재지대상폐기물데이터기준일자
01폐기물 중간재활용업정주산업(유)강명수광주광역시 서구 하남대로550번길 39-6(동천동)폐합성수지2023-06-30
12폐기물 중간재활용업거성산업박희구광주광역시 서구 벽진학두길 19(벽진동)폐가전2023-06-30
23폐기물 중간재활용업대원산업노태진광주광역시 서구 풍서좌로 305-1(매월동)폐가전2023-06-30
34폐기물 중간재활용업㈜무등자원송정덕광주광역시 북구 동배들길 33(동림동)폐스티로폼, 폐지, 금속캔, 폐합성수지2023-06-30
45폐기물 중간재활용업㈜조선물산박상종광주광역시 북구 하남대로 505(동림동)폐지, 폐용기류, 칩 등 금속류, 폐합성수지, 폐스티로폼2023-06-30
56폐기물 중간재활용업성우환경(주)최봉주광주광역시 북구 삼소로 452-14(월출동)폐합성수지, 폐폴리염화비닐, 폐플라스틱포장재, 그 밖의 폐합성고분자화합물, 폐발포합성수지, 폐전자제품, 고철, 폐지2023-06-30
67폐기물 중간재활용업성심환경선용심광주광역시 북구 하남대로 509(동림동)폐합성수지(폐비닐), 폐합성고무, 폐섬유2023-06-30
78폐기물 중간재활용업㈜태현에너지김종진광주광역시 동운로32번길 30(동림동)폐합성수지,폐목재2023-06-30
89폐기물 중간재활용업(유)한국전선가공이효정광주광역시 광산구 풍영정길 93(신창동)폐합성수지(폐전선)2023-06-30
910폐기물 중간재활용업한영기업김성훈광주광역시 광산구 하남산단6번로 24(오선동)사업장일반폐기물(폐합성수지)2023-06-30
연번구분업체명대표자소재지대상폐기물데이터기준일자
6465폐기물 종합재활용업㈜디케이보드한갑호광주광역시 광산구 손재로 436-54(오선동)사업장일반폐기물(폐스티로폼)2023-06-30
6566폐기물 종합재활용업현대환경㈜서해준광주광역시 광산구 북문대로342-35(신창동)사무실 : 북문대로420번길158-1(신창동)사업장폐기물, 생활폐기물 중 폐발포합성수지(폐스티로폼)2023-06-30
6667폐기물 종합재활용업㈜메탈코리아이윤칠광주광역시 광산구 평동산단1번로 10(용동)폐알루미늄(자동차 휠, 스크랩)2023-06-30
6768폐기물 종합재활용업㈜성신 광주지점김동훈광주광역시 광산구 평동매화길 3-5(지죽동)사업장일반폐기물 중 폐합성수지류, 폐목재류2023-06-30
6869폐기물 종합재활용업평동산업자원㈜정토연광주광역시 광산구 평동산단외로 271(지죽동)사업장일반, 생활폐기물 중 폐발포합성수지류(폐스티로폼)2023-06-30
6970폐기물 종합재활용업㈜와이에이치 인터내셔널박정효광주광역시 광산구 국룡길 202(송학동)우편주소 : 전남 장흥군 대덕읍 도동2길 13사업장일반폐기물 중 비철금속 제련공정 광재(알루미늄)2023-06-30
7071폐기물 종합재활용업(주)정원산업개발편재엽광주광역시 광산구 고봉로 1103(광산동)가연성 고형폐기물, 사업장일반폐기물 중 폐발포합성수지2023-06-30
7172폐기물 종합재활용업대성이엔비(주)최성일광주광역시 광산구 북문대로420번길 138(신창동)사업장폐기물, 생활폐기물 중 폐발포합성수지(폐스티로폼)2023-06-30
7273폐기물 종합재활용업(주)에스피앤에스김삼호광주광역시 광산구 빛중앙12로 22(덕림동)폐합성수지류(ABS)[51-03-01] ※ 신품 ABS 시트를 납품한 후 가공과정에서 발생되는 불량품만 반입2023-06-30
7374폐기물 종합재활용업오션클린폴리머김미라광주광역시 광산구 평동산단외로 111-27(지죽동)폐합성수지류(51-03-01)2023-06-30