Overview

Dataset statistics

Number of variables10
Number of observations6372
Missing cells589
Missing cells (%)0.9%
Duplicate rows13
Duplicate rows (%)0.2%
Total size in memory516.6 KiB
Average record size in memory83.0 B

Variable types

Categorical2
Text5
Numeric3

Alerts

Dataset has 13 (0.2%) duplicate rowsDuplicates
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지우편번호 has 101 (1.6%) missing valuesMissing
소재지지번주소 has 106 (1.7%) missing valuesMissing
WGS84위도 has 180 (2.8%) missing valuesMissing
WGS84경도 has 180 (2.8%) missing valuesMissing

Reproduction

Analysis started2024-03-12 23:44:20.762381
Analysis finished2024-03-12 23:44:23.302930
Duration2.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
화성시
1418 
평택시
591 
포천시
381 
김포시
350 
안산시
 
324
Other values (26)
3308 

Length

Max length4
Median length3
Mean length3.0571249
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 1418
22.3%
평택시 591
 
9.3%
포천시 381
 
6.0%
김포시 350
 
5.5%
안산시 324
 
5.1%
용인시 305
 
4.8%
고양시 295
 
4.6%
시흥시 270
 
4.2%
양주시 264
 
4.1%
안성시 251
 
3.9%
Other values (21) 1923
30.2%

Length

2024-03-13T08:44:23.355658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 1418
22.3%
평택시 591
 
9.3%
포천시 381
 
6.0%
김포시 350
 
5.5%
안산시 324
 
5.1%
용인시 305
 
4.8%
고양시 295
 
4.6%
시흥시 270
 
4.2%
양주시 264
 
4.1%
안성시 251
 
3.9%
Other values (21) 1923
30.2%

사업장명
Text

Distinct5269
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
2024-03-13T08:44:23.551709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length28
Mean length5.9769303
Min length1

Characters and Unicode

Total characters38085
Distinct characters630
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4472 ?
Unique (%)70.2%

Sample

1st row아폴로산업
2nd row정풍산업
3rd row㈜맑음그린
4th row경반축산
5th row성민농장
ValueCountFrequency (%)
주식회사 221
 
3.2%
개인 21
 
0.3%
농업회사법인 12
 
0.2%
화성지점 11
 
0.2%
11
 
0.2%
유한회사 9
 
0.1%
한길기업㈜ 9
 
0.1%
미래환경 8
 
0.1%
㈜크린자원산업 7
 
0.1%
우리자원 7
 
0.1%
Other values (5361) 6525
95.4%
2024-03-13T08:44:23.875905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 2336
 
6.1%
경 1569
 
4.1%
환 1410
 
3.7%
주 1292
 
3.4%
이 1058
 
2.8%
업 1040
 
2.7%
) 1032
 
2.7%
( 1028
 
2.7%
산 1020
 
2.7%
원 917
 
2.4%
Other values (620) 25383
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32670
85.8%
Other Symbol 2336
 
6.1%
Close Punctuation 1039
 
2.7%
Open Punctuation 1035
 
2.7%
Space Separator 470
 
1.2%
Uppercase Letter 284
 
0.7%
Decimal Number 101
 
0.3%
Other Punctuation 66
 
0.2%
Lowercase Letter 43
 
0.1%
Math Symbol 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1569
 
4.8%
환 1410
 
4.3%
주 1292
 
4.0%
이 1058
 
3.2%
업 1040
 
3.2%
산 1020
 
3.1%
원 917
 
2.8%
자 710
 
2.2%
사 662
 
2.0%
성 653
 
2.0%
Other values (555) 22339
68.4%
Uppercase Letter
ValueCountFrequency (%)
S 32
11.3%
K 31
10.9%
C 30
10.6%
E 25
 
8.8%
M 22
 
7.7%
P 21
 
7.4%
R 17
 
6.0%
T 14
 
4.9%
H 14
 
4.9%
A 10
 
3.5%
Other values (14) 68
23.9%
Lowercase Letter
ValueCountFrequency (%)
o 6
14.0%
e 6
14.0%
a 5
11.6%
n 4
9.3%
c 4
9.3%
r 4
9.3%
l 3
7.0%
m 2
 
4.7%
s 2
 
4.7%
i 2
 
4.7%
Other values (4) 5
11.6%
Decimal Number
ValueCountFrequency (%)
2 35
34.7%
1 21
20.8%
0 10
 
9.9%
4 10
 
9.9%
3 9
 
8.9%
5 4
 
4.0%
6 4
 
4.0%
9 3
 
3.0%
7 3
 
3.0%
8 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 43
65.2%
& 15
 
22.7%
, 4
 
6.1%
: 1
 
1.5%
? 1
 
1.5%
· 1
 
1.5%
/ 1
 
1.5%
Math Symbol
ValueCountFrequency (%)
> 12
48.0%
→ 11
44.0%
~ 2
 
8.0%
Close Punctuation
ValueCountFrequency (%)
) 1032
99.3%
] 7
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 1028
99.3%
[ 7
 
0.7%
Other Symbol
ValueCountFrequency (%)
㈜ 2336
100.0%
Space Separator
ValueCountFrequency (%)
470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35000
91.9%
Common 2752
 
7.2%
Latin 327
 
0.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 2336
 
6.7%
경 1569
 
4.5%
환 1410
 
4.0%
주 1292
 
3.7%
이 1058
 
3.0%
업 1040
 
3.0%
산 1020
 
2.9%
원 917
 
2.6%
자 710
 
2.0%
사 662
 
1.9%
Other values (552) 22986
65.7%
Latin
ValueCountFrequency (%)
S 32
 
9.8%
K 31
 
9.5%
C 30
 
9.2%
E 25
 
7.6%
M 22
 
6.7%
P 21
 
6.4%
R 17
 
5.2%
T 14
 
4.3%
H 14
 
4.3%
A 10
 
3.1%
Other values (28) 111
33.9%
Common
ValueCountFrequency (%)
) 1032
37.5%
( 1028
37.4%
470
17.1%
. 43
 
1.6%
2 35
 
1.3%
1 21
 
0.8%
- 16
 
0.6%
& 15
 
0.5%
> 12
 
0.4%
→ 11
 
0.4%
Other values (16) 69
 
2.5%
Han
ValueCountFrequency (%)
舊 3
50.0%
省 1
 
16.7%
漢 1
 
16.7%
家 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32662
85.8%
ASCII 3067
 
8.1%
None 2337
 
6.1%
Arrows 11
 
< 0.1%
CJK 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 2336
> 99.9%
· 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
경 1569
 
4.8%
환 1410
 
4.3%
주 1292
 
4.0%
이 1058
 
3.2%
업 1040
 
3.2%
산 1020
 
3.1%
원 917
 
2.8%
자 710
 
2.2%
사 662
 
2.0%
성 653
 
2.0%
Other values (550) 22331
68.4%
ASCII
ValueCountFrequency (%)
) 1032
33.6%
( 1028
33.5%
470
15.3%
. 43
 
1.4%
2 35
 
1.1%
S 32
 
1.0%
K 31
 
1.0%
C 30
 
1.0%
E 25
 
0.8%
M 22
 
0.7%
Other values (52) 319
 
10.4%
Arrows
ValueCountFrequency (%)
→ 11
100.0%
CJK
ValueCountFrequency (%)
舊 3
50.0%
省 1
 
16.7%
漢 1
 
16.7%
家 1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

전화번호
Text

Distinct3141
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
2024-03-13T08:44:24.157966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.387633
Min length9

Characters and Unicode

Total characters78934
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

Unique2559 ?
Unique (%)40.2%

Sample

1st row031-585-5530
2nd row031-582-7076
3rd row031-585-0708
4th row031-582-6657
5th row000-0000-0000
ValueCountFrequency (%)
000-0000-0000 2435
38.2%
031-764-7070 9
 
0.1%
031-868-0055 7
 
0.1%
031-611-5601 6
 
0.1%
031-832-7100 6
 
0.1%
031-905-6127 5
 
0.1%
031-656-1822 5
 
0.1%
031-529-0123 5
 
0.1%
031-354-6660 5
 
0.1%
032-675-5300 5
 
0.1%
Other values (3131) 3884
61.0%
2024-03-13T08:44:24.561301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33170
42.0%
- 12721
 
16.1%
3 7012
 
8.9%
1 6026
 
7.6%
5 3173
 
4.0%
8 3024
 
3.8%
6 2952
 
3.7%
7 2857
 
3.6%
4 2767
 
3.5%
2 2753
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66213
83.9%
Dash Punctuation 12721
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33170
50.1%
3 7012
 
10.6%
1 6026
 
9.1%
5 3173
 
4.8%
8 3024
 
4.6%
6 2952
 
4.5%
7 2857
 
4.3%
4 2767
 
4.2%
2 2753
 
4.2%
9 2479
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 12721
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33170
42.0%
- 12721
 
16.1%
3 7012
 
8.9%
1 6026
 
7.6%
5 3173
 
4.0%
8 3024
 
3.8%
6 2952
 
3.7%
7 2857
 
3.6%
4 2767
 
3.5%
2 2753
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33170
42.0%
- 12721
 
16.1%
3 7012
 
8.9%
1 6026
 
7.6%
5 3173
 
4.0%
8 3024
 
3.8%
6 2952
 
3.7%
7 2857
 
3.6%
4 2767
 
3.5%
2 2753
 
3.5%

처리업종구분명
Categorical

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
⑧
1545 
①ⓑ
1449 
⑦
1306 
①ⓐ
1034 
①ⓒ
521 
Other values (7)
517 

Length

Max length2
Median length1
Mean length1.4764595
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row⑦
2nd row①ⓐ
3rd row⑧
4th row⑧
5th row⑧

Common Values

ValueCountFrequency (%)
⑧ 1545
24.2%
①ⓑ 1449
22.7%
⑦ 1306
20.5%
①ⓐ 1034
16.2%
①ⓒ 521
 
8.2%
⑤ 336
 
5.3%
⑨ 103
 
1.6%
⑥ 45
 
0.7%
②ⓓ 18
 
0.3%
②ⓔ 9
 
0.1%
Other values (2) 6
 
0.1%

Length

2024-03-13T08:44:24.675683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
⑧ 1545
24.2%
①ⓑ 1449
22.7%
⑦ 1306
20.5%
①ⓐ 1034
16.2%
①ⓒ 521
 
8.2%
⑤ 336
 
5.3%
⑨ 103
 
1.6%
⑥ 45
 
0.7%
②ⓓ 18
 
0.3%
②ⓔ 9
 
0.1%
Other values (2) 6
 
0.1%

처리대상폐기물정보
Text

Distinct2294
Distinct (%)36.1%
Missing22
Missing (%)0.3%
Memory size49.9 KiB
2024-03-13T08:44:24.868616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length588
Median length252
Mean length25.486457
Min length1

Characters and Unicode

Total characters161839
Distinct characters439
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1893 ?
Unique (%)29.8%

Sample

1st row51-03-01
2nd row91-01-00, 91-02-00
3rd row51-17
4th row51-17
5th row51-17, 51-38-01
ValueCountFrequency (%)
51-03-01 792
 
4.6%
사업장배출시설계폐기물 349
 
2.0%
51 328
 
1.9%
51-20 287
 
1.7%
밖의 279
 
1.6%
사업장배출계 215
 
1.2%
그 213
 
1.2%
51-03-02 200
 
1.2%
40 195
 
1.1%
51-38-01 188
 
1.1%
Other values (2422) 14287
82.4%
2024-03-13T08:44:25.220715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 22930
14.2%
0 20228
12.5%
1 17907
 
11.1%
11035
 
6.8%
5 10741
 
6.6%
, 10691
 
6.6%
2 6275
 
3.9%
9 5005
 
3.1%
3 4754
 
2.9%
폐 4385
 
2.7%
Other values (429) 47888
29.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72650
44.9%
Other Letter 37538
23.2%
Dash Punctuation 22930
 
14.2%
Space Separator 11035
 
6.8%
Other Punctuation 10832
 
6.7%
Close Punctuation 2679
 
1.7%
Open Punctuation 2678
 
1.7%
Uppercase Letter 1298
 
0.8%
Math Symbol 174
 
0.1%
Lowercase Letter 20
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 4385
 
11.7%
류 1506
 
4.0%
물 1384
 
3.7%
성 1284
 
3.4%
기 1257
 
3.3%
지 1246
 
3.3%
합 1182
 
3.1%
장 1182
 
3.1%
사 1057
 
2.8%
수 1047
 
2.8%
Other values (366) 22008
58.6%
Uppercase Letter
ValueCountFrequency (%)
P 626
48.2%
E 198
 
15.3%
S 114
 
8.8%
C 88
 
6.8%
B 86
 
6.6%
A 54
 
4.2%
T 51
 
3.9%
V 37
 
2.9%
R 12
 
0.9%
O 5
 
0.4%
Other values (10) 27
 
2.1%
Decimal Number
ValueCountFrequency (%)
0 20228
27.8%
1 17907
24.6%
5 10741
14.8%
2 6275
 
8.6%
9 5005
 
6.9%
3 4754
 
6.5%
4 3471
 
4.8%
7 1725
 
2.4%
8 1707
 
2.3%
6 837
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
p 5
25.0%
t 4
20.0%
e 2
 
10.0%
n 2
 
10.0%
v 2
 
10.0%
o 1
 
5.0%
y 1
 
5.0%
a 1
 
5.0%
d 1
 
5.0%
s 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 10691
98.7%
. 50
 
0.5%
· 48
 
0.4%
: 20
 
0.2%
/ 11
 
0.1%
? 9
 
0.1%
※ 3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1424
53.2%
] 1247
46.5%
」 4
 
0.1%
】 3
 
0.1%
} 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1422
53.1%
[ 1248
46.6%
「 4
 
0.1%
【 3
 
0.1%
{ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 164
94.3%
+ 10
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 22930
100.0%
Space Separator
ValueCountFrequency (%)
11035
100.0%
Other Symbol
ValueCountFrequency (%)
▶ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122983
76.0%
Hangul 37538
 
23.2%
Latin 1318
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 4385
 
11.7%
류 1506
 
4.0%
물 1384
 
3.7%
성 1284
 
3.4%
기 1257
 
3.3%
지 1246
 
3.3%
합 1182
 
3.1%
장 1182
 
3.1%
사 1057
 
2.8%
수 1047
 
2.8%
Other values (366) 22008
58.6%
Common
ValueCountFrequency (%)
- 22930
18.6%
0 20228
16.4%
1 17907
14.6%
11035
9.0%
5 10741
8.7%
, 10691
8.7%
2 6275
 
5.1%
9 5005
 
4.1%
3 4754
 
3.9%
4 3471
 
2.8%
Other values (23) 9946
8.1%
Latin
ValueCountFrequency (%)
P 626
47.5%
E 198
 
15.0%
S 114
 
8.6%
C 88
 
6.7%
B 86
 
6.5%
A 54
 
4.1%
T 51
 
3.9%
V 37
 
2.8%
R 12
 
0.9%
O 5
 
0.4%
Other values (20) 47
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124232
76.8%
Hangul 37525
 
23.2%
None 62
 
< 0.1%
Compat Jamo 13
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 22930
18.5%
0 20228
16.3%
1 17907
14.4%
11035
8.9%
5 10741
8.6%
, 10691
8.6%
2 6275
 
5.1%
9 5005
 
4.0%
3 4754
 
3.8%
4 3471
 
2.8%
Other values (46) 11195
9.0%
Hangul
ValueCountFrequency (%)
폐 4385
 
11.7%
류 1506
 
4.0%
물 1384
 
3.7%
성 1284
 
3.4%
기 1257
 
3.3%
지 1246
 
3.3%
합 1182
 
3.1%
장 1182
 
3.1%
사 1057
 
2.8%
수 1047
 
2.8%
Other values (364) 21995
58.6%
None
ValueCountFrequency (%)
· 48
77.4%
」 4
 
6.5%
「 4
 
6.5%
】 3
 
4.8%
【 3
 
4.8%
Compat Jamo
ValueCountFrequency (%)
ㅡ 8
61.5%
ㆍ 5
38.5%
Geometric Shapes
ValueCountFrequency (%)
▶ 4
100.0%
Punctuation
ValueCountFrequency (%)
※ 3
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1778
Distinct (%)28.4%
Missing101
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean14976.973
Minimum10003
Maximum18635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.1 KiB
2024-03-13T08:44:25.336804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10109
Q111625
median15431
Q317909
95-th percentile18584
Maximum18635
Range8632
Interquartile range (IQR)6284

Descriptive statistics

Standard deviation3106.5321
Coefficient of variation (CV)0.20742056
Kurtosis-1.5321035
Mean14976.973
Median Absolute Deviation (MAD)2898
Skewness-0.26080323
Sum93920599
Variance9650542
MonotonicityNot monotonic
2024-03-13T08:44:25.442756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15431 83
 
1.3%
18269 56
 
0.9%
18574 49
 
0.8%
17794 46
 
0.7%
18581 42
 
0.7%
11167 42
 
0.7%
11426 40
 
0.6%
17909 38
 
0.6%
18523 37
 
0.6%
15103 37
 
0.6%
Other values (1768) 5801
91.0%
(Missing) 101
 
1.6%
ValueCountFrequency (%)
10003 5
0.1%
10004 1
 
< 0.1%
10005 1
 
< 0.1%
10007 1
 
< 0.1%
10008 3
 
< 0.1%
10009 5
0.1%
10010 12
0.2%
10011 6
0.1%
10012 10
0.2%
10013 3
 
< 0.1%
ValueCountFrequency (%)
18635 8
 
0.1%
18634 5
 
0.1%
18633 8
 
0.1%
18632 12
0.2%
18631 25
0.4%
18630 26
0.4%
18629 5
 
0.1%
18628 12
0.2%
18627 15
0.2%
18626 18
0.3%

소재지지번주소
Text

MISSING 

Distinct5315
Distinct (%)84.8%
Missing106
Missing (%)1.7%
Memory size49.9 KiB
2024-03-13T08:44:25.679099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length59
Mean length25.204277
Min length13

Characters and Unicode

Total characters157930
Distinct characters508
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4617 ?
Unique (%)73.7%

Sample

1st row경기도 가평군 설악면 설곡리 790-1번지
2nd row경기도 가평군 가평읍 읍내리 495-31번지
3rd row경기도 가평군 상면 봉수리 237번지
4th row경기도 가평군 가평읍 경반리 454-4번지
5th row경기도 가평군 조종면 상판리 364번지
ValueCountFrequency (%)
경기도 6266
 
18.3%
화성시 1376
 
4.0%
평택시 585
 
1.7%
포천시 381
 
1.1%
김포시 343
 
1.0%
안산시 323
 
0.9%
용인시 300
 
0.9%
고양시 292
 
0.9%
시흥시 268
 
0.8%
양주시 259
 
0.8%
Other values (7139) 23869
69.7%
2024-03-13T08:44:26.048599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27996
 
17.7%
도 6510
 
4.1%
시 6492
 
4.1%
기 6422
 
4.1%
1 6315
 
4.0%
경 6304
 
4.0%
지 5563
 
3.5%
- 5328
 
3.4%
번 5132
 
3.2%
2 4451
 
2.8%
Other values (498) 77417
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91579
58.0%
Decimal Number 32081
 
20.3%
Space Separator 27996
 
17.7%
Dash Punctuation 5328
 
3.4%
Other Punctuation 513
 
0.3%
Uppercase Letter 247
 
0.2%
Close Punctuation 78
 
< 0.1%
Open Punctuation 77
 
< 0.1%
Lowercase Letter 18
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6510
 
7.1%
시 6492
 
7.1%
기 6422
 
7.0%
경 6304
 
6.9%
지 5563
 
6.1%
번 5132
 
5.6%
리 3797
 
4.1%
동 3712
 
4.1%
면 2266
 
2.5%
성 2049
 
2.2%
Other values (448) 43332
47.3%
Uppercase Letter
ValueCountFrequency (%)
B 81
32.8%
A 53
21.5%
C 23
 
9.3%
L 12
 
4.9%
D 11
 
4.5%
E 11
 
4.5%
S 10
 
4.0%
K 10
 
4.0%
T 6
 
2.4%
N 6
 
2.4%
Other values (9) 24
 
9.7%
Decimal Number
ValueCountFrequency (%)
1 6315
19.7%
2 4451
13.9%
3 3546
11.1%
4 3169
9.9%
0 2953
9.2%
5 2749
8.6%
6 2632
8.2%
7 2292
 
7.1%
9 2004
 
6.2%
8 1970
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 500
97.5%
. 7
 
1.4%
@ 2
 
0.4%
: 1
 
0.2%
· 1
 
0.2%
& 1
 
0.2%
? 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
b 9
50.0%
e 4
22.2%
n 2
 
11.1%
c 1
 
5.6%
t 1
 
5.6%
r 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 77
98.7%
] 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 76
98.7%
[ 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 12
92.3%
= 1
 
7.7%
Space Separator
ValueCountFrequency (%)
27996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91579
58.0%
Common 66086
41.8%
Latin 265
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6510
 
7.1%
시 6492
 
7.1%
기 6422
 
7.0%
경 6304
 
6.9%
지 5563
 
6.1%
번 5132
 
5.6%
리 3797
 
4.1%
동 3712
 
4.1%
면 2266
 
2.5%
성 2049
 
2.2%
Other values (448) 43332
47.3%
Common
ValueCountFrequency (%)
27996
42.4%
1 6315
 
9.6%
- 5328
 
8.1%
2 4451
 
6.7%
3 3546
 
5.4%
4 3169
 
4.8%
0 2953
 
4.5%
5 2749
 
4.2%
6 2632
 
4.0%
7 2292
 
3.5%
Other values (15) 4655
 
7.0%
Latin
ValueCountFrequency (%)
B 81
30.6%
A 53
20.0%
C 23
 
8.7%
L 12
 
4.5%
D 11
 
4.2%
E 11
 
4.2%
S 10
 
3.8%
K 10
 
3.8%
b 9
 
3.4%
T 6
 
2.3%
Other values (15) 39
14.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91579
58.0%
ASCII 66350
42.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27996
42.2%
1 6315
 
9.5%
- 5328
 
8.0%
2 4451
 
6.7%
3 3546
 
5.3%
4 3169
 
4.8%
0 2953
 
4.5%
5 2749
 
4.1%
6 2632
 
4.0%
7 2292
 
3.5%
Other values (39) 4919
 
7.4%
Hangul
ValueCountFrequency (%)
도 6510
 
7.1%
시 6492
 
7.1%
기 6422
 
7.0%
경 6304
 
6.9%
지 5563
 
6.1%
번 5132
 
5.6%
리 3797
 
4.1%
동 3712
 
4.1%
면 2266
 
2.5%
성 2049
 
2.2%
Other values (448) 43332
47.3%
None
ValueCountFrequency (%)
· 1
100.0%

소재지도로명주소
Text

Distinct5608
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
2024-03-13T08:44:26.338618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length55
Mean length25.780917
Min length13

Characters and Unicode

Total characters164276
Distinct characters550
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5028 ?
Unique (%)78.9%

Sample

1st row경기도 가평군 설악면 장수로 180
2nd row경기도 가평군 가평읍 석봉로 173
3rd row경기도 가평군 상면 봉수로 137-103
4th row경기도 가평군 가평읍 경반안로 161
5th row경기도 가평군 조종면 명지산로 222
ValueCountFrequency (%)
경기도 6376
 
18.1%
화성시 1419
 
4.0%
평택시 591
 
1.7%
포천시 384
 
1.1%
김포시 350
 
1.0%
안산시 326
 
0.9%
용인시 306
 
0.9%
고양시 295
 
0.8%
시흥시 270
 
0.8%
양주시 264
 
0.8%
Other values (8250) 24587
69.9%
2024-03-13T08:44:26.921171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28852
 
17.6%
1 6907
 
4.2%
도 6672
 
4.1%
시 6626
 
4.0%
기 6625
 
4.0%
경 6532
 
4.0%
2 4978
 
3.0%
로 4240
 
2.6%
3 3767
 
2.3%
- 3587
 
2.2%
Other values (540) 85490
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91593
55.8%
Decimal Number 33459
 
20.4%
Space Separator 28852
 
17.6%
Dash Punctuation 3587
 
2.2%
Other Punctuation 2687
 
1.6%
Open Punctuation 1939
 
1.2%
Close Punctuation 1938
 
1.2%
Uppercase Letter 192
 
0.1%
Math Symbol 15
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6672
 
7.3%
시 6626
 
7.2%
기 6625
 
7.2%
경 6532
 
7.1%
로 4240
 
4.6%
동 3204
 
3.5%
길 2477
 
2.7%
면 2341
 
2.6%
성 2228
 
2.4%
양 1696
 
1.9%
Other values (490) 48952
53.4%
Uppercase Letter
ValueCountFrequency (%)
B 75
39.1%
A 48
25.0%
C 23
 
12.0%
K 8
 
4.2%
D 6
 
3.1%
I 5
 
2.6%
E 4
 
2.1%
J 4
 
2.1%
S 4
 
2.1%
Y 3
 
1.6%
Other values (6) 12
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 6907
20.6%
2 4978
14.9%
3 3767
11.3%
4 3117
9.3%
0 3114
9.3%
5 2853
8.5%
6 2560
 
7.7%
7 2251
 
6.7%
8 1981
 
5.9%
9 1931
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 2635
98.1%
. 37
 
1.4%
@ 4
 
0.1%
' 4
 
0.1%
: 2
 
0.1%
/ 2
 
0.1%
· 1
 
< 0.1%
& 1
 
< 0.1%
? 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 12
80.0%
+ 1
 
6.7%
> 1
 
6.7%
= 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
b 10
76.9%
e 1
 
7.7%
g 1
 
7.7%
n 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 1934
99.7%
[ 5
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1933
99.7%
] 5
 
0.3%
Space Separator
ValueCountFrequency (%)
28852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3587
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91594
55.8%
Common 72477
44.1%
Latin 205
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6672
 
7.3%
시 6626
 
7.2%
기 6625
 
7.2%
경 6532
 
7.1%
로 4240
 
4.6%
동 3204
 
3.5%
길 2477
 
2.7%
면 2341
 
2.6%
성 2228
 
2.4%
양 1696
 
1.9%
Other values (491) 48953
53.4%
Common
ValueCountFrequency (%)
28852
39.8%
1 6907
 
9.5%
2 4978
 
6.9%
3 3767
 
5.2%
- 3587
 
4.9%
4 3117
 
4.3%
0 3114
 
4.3%
5 2853
 
3.9%
, 2635
 
3.6%
6 2560
 
3.5%
Other values (19) 10107
 
13.9%
Latin
ValueCountFrequency (%)
B 75
36.6%
A 48
23.4%
C 23
 
11.2%
b 10
 
4.9%
K 8
 
3.9%
D 6
 
2.9%
I 5
 
2.4%
E 4
 
2.0%
J 4
 
2.0%
S 4
 
2.0%
Other values (10) 18
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91593
55.8%
ASCII 72681
44.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28852
39.7%
1 6907
 
9.5%
2 4978
 
6.8%
3 3767
 
5.2%
- 3587
 
4.9%
4 3117
 
4.3%
0 3114
 
4.3%
5 2853
 
3.9%
, 2635
 
3.6%
6 2560
 
3.5%
Other values (38) 10311
 
14.2%
Hangul
ValueCountFrequency (%)
도 6672
 
7.3%
시 6626
 
7.2%
기 6625
 
7.2%
경 6532
 
7.1%
로 4240
 
4.6%
동 3204
 
3.5%
길 2477
 
2.7%
면 2341
 
2.6%
성 2228
 
2.4%
양 1696
 
1.9%
Other values (490) 48952
53.4%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4654
Distinct (%)75.2%
Missing180
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean37.386476
Minimum36.918257
Maximum38.207076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.1 KiB
2024-03-13T08:44:27.094326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.918257
5-th percentile37.015153
Q137.140886
median37.318843
Q337.661481
95-th percentile37.890098
Maximum38.207076
Range1.2888186
Interquartile range (IQR)0.52059568

Descriptive statistics

Standard deviation0.29316091
Coefficient of variation (CV)0.0078413626
Kurtosis-0.96631423
Mean37.386476
Median Absolute Deviation (MAD)0.21379614
Skewness0.50732837
Sum231497.06
Variance0.08594332
MonotonicityNot monotonic
2024-03-13T08:44:27.221894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.9919640634 37
 
0.6%
37.1803686135 32
 
0.5%
37.0598479471 27
 
0.4%
37.2010405545 17
 
0.3%
37.3233710989 16
 
0.3%
37.3083743608 14
 
0.2%
36.9916810047 10
 
0.2%
37.0897953676 10
 
0.2%
37.3195049807 10
 
0.2%
37.3635937962 10
 
0.2%
Other values (4644) 6009
94.3%
(Missing) 180
 
2.8%
ValueCountFrequency (%)
36.9182573487 1
 
< 0.1%
36.9228523784 1
 
< 0.1%
36.9253952984 1
 
< 0.1%
36.9311751552 2
< 0.1%
36.9318533775 1
 
< 0.1%
36.9325710506 1
 
< 0.1%
36.9344601333 3
< 0.1%
36.935006276 1
 
< 0.1%
36.9355514392 3
< 0.1%
36.9360655083 1
 
< 0.1%
ValueCountFrequency (%)
38.2070759488 1
< 0.1%
38.2030352764 1
< 0.1%
38.1979997301 1
< 0.1%
38.1866990842 2
< 0.1%
38.1622961083 1
< 0.1%
38.1596965732 2
< 0.1%
38.1568811712 1
< 0.1%
38.1419531606 1
< 0.1%
38.1418662157 1
< 0.1%
38.1373114358 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4654
Distinct (%)75.2%
Missing180
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean126.99718
Minimum126.53925
Maximum127.77945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.1 KiB
2024-03-13T08:44:27.336131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53925
5-th percentile126.6831
Q1126.82443
median126.96529
Q3127.14566
95-th percentile127.47245
Maximum127.77945
Range1.2402045
Interquartile range (IQR)0.32122665

Descriptive statistics

Standard deviation0.23146625
Coefficient of variation (CV)0.0018226093
Kurtosis0.32576592
Mean126.99718
Median Absolute Deviation (MAD)0.15467947
Skewness0.65117415
Sum786366.56
Variance0.053576624
MonotonicityNot monotonic
2024-03-13T08:44:27.457577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0885628709 37
 
0.6%
126.8153124617 32
 
0.5%
127.0649813122 27
 
0.4%
127.0734689775 17
 
0.3%
126.788892882 16
 
0.3%
126.8278189467 14
 
0.2%
127.1088259261 10
 
0.2%
126.8029182942 10
 
0.2%
126.8323471602 10
 
0.2%
126.940582206 10
 
0.2%
Other values (4644) 6009
94.3%
(Missing) 180
 
2.8%
ValueCountFrequency (%)
126.5392477153 1
< 0.1%
126.5403202772 1
< 0.1%
126.5406090455 1
< 0.1%
126.5407714161 1
< 0.1%
126.5448445018 1
< 0.1%
126.5453103123 1
< 0.1%
126.5465710924 1
< 0.1%
126.546669882 1
< 0.1%
126.5468034948 1
< 0.1%
126.546893325 1
< 0.1%
ValueCountFrequency (%)
127.7794522186 1
 
< 0.1%
127.7624330111 3
< 0.1%
127.7491102908 1
 
< 0.1%
127.730304521 2
< 0.1%
127.7233803579 1
 
< 0.1%
127.7219678227 1
 
< 0.1%
127.7168441812 1
 
< 0.1%
127.7159401627 1
 
< 0.1%
127.714108878 1
 
< 0.1%
127.7086014918 3
< 0.1%

Interactions

2024-03-13T08:44:22.740106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.060357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.489708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.826178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.338748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.572217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.908812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.410905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:44:22.648866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:44:27.540323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명처리업종구분명소재지우편번호WGS84위도WGS84경도
시군명1.0000.5040.9940.9440.941
처리업종구분명0.5041.0000.3640.3500.238
소재지우편번호0.9940.3641.0000.9150.863
WGS84위도0.9440.3500.9151.0000.672
WGS84경도0.9410.2380.8630.6721.000
2024-03-13T08:44:27.617587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리업종구분명시군명
처리업종구분명1.0000.188
시군명0.1881.000
2024-03-13T08:44:27.680486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명처리업종구분명
소재지우편번호1.000-0.867-0.0020.9500.161
WGS84위도-0.8671.000-0.0520.7140.155
WGS84경도-0.002-0.0521.0000.7050.102
시군명0.9500.7140.7051.0000.188
처리업종구분명0.1610.1550.1020.1881.000

Missing values

2024-03-13T08:44:23.013521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:44:23.132470image/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.
2024-03-13T08:44:23.240205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명사업장명전화번호처리업종구분명처리대상폐기물정보소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군아폴로산업031-585-5530⑦51-03-0112471경기도 가평군 설악면 설곡리 790-1번지경기도 가평군 설악면 장수로 18037.6183127.507535
1가평군정풍산업031-582-7076①ⓐ91-01-00, 91-02-0012417경기도 가평군 가평읍 읍내리 495-31번지경기도 가평군 가평읍 석봉로 17337.830464127.510443
2가평군㈜맑음그린031-585-0708⑧51-1712440경기도 가평군 상면 봉수리 237번지경기도 가평군 상면 봉수로 137-10337.863798127.290551
3가평군경반축산031-582-6657⑧51-1712415경기도 가평군 가평읍 경반리 454-4번지경기도 가평군 가평읍 경반안로 16137.831059127.48725
4가평군성민농장000-0000-0000⑧51-17, 51-38-0112431경기도 가평군 조종면 상판리 364번지경기도 가평군 조종면 명지산로 22237.892808127.36915
5가평군쉬리목장000-0000-0000⑧51-17-22,51-17-9912436경기도 가평군 조종면 신하리 468번지경기도 가평군 조종면 연인산로 68-637.822942127.357218
6가평군㈜협신031-585-5511⑨51-23-0012440경기도 가평군 상면 봉수리 15-2번지경기도 가평군 상면 물골길 84-5037.83622127.318461
7가평군㈜청호000-0000-0000①ⓐ51-02-19,51-02-99,51-03-01,51-15-01,51-17-29,51-20-01,51-20-07,51-20-11,51-28-02,51-29-0112437경기도 가평군 조종면 현리 324-8번지 삼미타운 106호경기도 가평군 조종면 현창로 71, 106호37.820279127.346213
8가평군우주산업개발031-581-5551①ⓐ91-01-00, 91-02-0012453경기도 가평군 청평면 청평리 423-16번지경기도 가평군 청평면 여울길 3937.736312127.419374
9가평군그린컴퍼니000-0000-0000①ⓐ51-27-9912441경기도 가평군 상면 율길리 458-23경기도 가평군 상면 율길리 458-2337.840126127.288186
시군명사업장명전화번호처리업종구분명처리대상폐기물정보소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
6362화성시케이환경개발 주식회사000-0000-0000①ⓒ건설폐기물18455경기도 화성시 반송동 106-3번지 601-비08호경기도 화성시 노작로 147, 601-비08호37.201041127.073469
6363화성시(주)케이에이치건설031-352-0481①ⓒ건설폐기물18525경기도 화성시 팔탄면 창곡리 1033번지 103호경기도 화성시 팔탄면 푸른들판로 732, 103호37.172682126.891675
6364화성시㈜팔탄토건031-354-8835①ⓒ건설폐기물18577경기도 화성시 팔탄면 덕천리 48번지 2층경기도 화성시 팔탄면 온천로 367,2층37.15019126.875673
6365화성시성하건설㈜031-355-4606①ⓒ건설폐기물18274경기도 화성시 남양읍 무송리 148-3번지경기도 화성시 남양읍 현대기아로 487번길 2437.19534126.845532
6366화성시㈜한결아스콘031-8077-2253①ⓒ건설폐기물18522경기도 화성시 정남면 문학리 721-37번지경기도 화성시 정남면 서봉로 75737.14307126.958492
6367화성시만덕환경000-0000-0000①ⓒ건설폐기물18412경기도 화성시 병점동 382-2번지 2층경기도 화성시 떡전골로 96-4, 2층37.207022127.034274
6368화성시옥토환경개발000-0000-0000①ⓒ건설폐기물18561경기도 화성시 우정읍 한각리 147-3번지 2층경기도 화성시 우정읍 조암죽말길87번길 41, 2층37.089795126.802918
6369화성시한울컨설턴트㈜031-351-5837①ⓒ건설폐기물18569경기도 화성시 우정읍 화산리 194번지경기도 화성시 우정읍 버들로191번길 71-1537.076359126.791454
6370화성시㈜한진이앤씨031-357-6340①ⓒ건설폐기물<NA><NA>경기도 화성시 남양읍 신남로2401번길 19-10<NA><NA>
6371화성시한진토건㈜031-375-2670①ⓒ건설폐기물18515경기도 화성시 정남면 덕절리 31-1번지경기도 화성시 정남면 발안로 116737.134348127.028854

Duplicate rows

Most frequently occurring

시군명사업장명전화번호처리업종구분명처리대상폐기물정보소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도# duplicates
2양주시㈜월드행어031-879-9978⑧51-02-0611415경기도 양주시 광적면 석우리 43번지경기도 양주시 광적면 그루고개로143번길 22437.835078126.9927943
0광주시명아자원000-0000-0000⑧폐의류12790경기도 광주시 고산동 550-3, 5, 6경기도 광주시 고산동 550-3, 5, 637.374864127.2136812
1김포시봉화자원031-987-0729⑧[51-03-01], [51-18-01]10044경기도 김포시 대곶면 율생리 24-2번지경기도 김포시 대곶면 대명항로205번길 6237.651903126.5952332
3양주시㈜주성금속000-0000-0000⑧51-41-0311429경기도 양주시 은현면 용암리 218번지경기도 양주시 은현면 평화로1889번길 130-2337.860198127.0482582
4용인시㈜이레자원000-0000-0000⑧51-28-02, 91-99-0017138경기도 용인시 처인구 이동읍 묘봉리 450-1번지경기도 용인시 처인구 이동읍 묘봉로 112-637.125581127.2251822
5포천시㈜천일에너지070-4323-0437⑦폐목재류(51-20-21~26, 51-20-99),그 밖의 식물성잔재물(커피찌꺼기)(51-17-29)11128경기도 포천시 영중면 양문리 361, 361-14, 361-15경기도 포천시 영중면 양문리 361, 361-14, 361-1538.007563127.2611872
6화성시㈜송파자원000-0000-0000⑧폐지, 고철, 폐포장재, 폐전선, 폐가전제품, 폐의류18559경기도 화성시 우정읍 주곡리 26-35경기도 화성시 우정읍 주곡리 26-3537.119279126.8275812
7화성시부림상사000-0000-0000①ⓑ사업장배출시설계폐기물18530경기도 화성시 팔탄면 율암리 830-1경기도 화성시 팔탄면 율암리 830-137.154591126.8796352
8화성시성신자원000-0000-0000⑧폐의류, 폐가전제품18514경기도 화성시 정남면 망월리 232-24번지경기도 화성시 정남면 정남동로325번길 1837.148692127.0075272
9화성시여해금속000-0000-0000⑧폐배터리18581경기도 화성시 장안면 수촌리 129-22경기도 화성시 장안면 수촌리 129-2237.086205126.8600192