Overview

Dataset statistics

Number of variables11
Number of observations1326
Missing cells42
Missing cells (%)0.3%
Duplicate rows20
Duplicate rows (%)1.5%
Total size in memory114.1 KiB
Average record size in memory88.1 B

Variable types

Categorical2
Text7
DateTime2

Dataset

Description사업장폐기물배출자 신고 현황. 제공항목: 상호명, 폐기물 구분, 사업자등록번호, 연락처, 주소, 운반자명, 처리업소명, 폐기물 종류, 처리방법, 신고기준년도
URLhttps://www.data.go.kr/data/15060426/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 20 (1.5%) duplicate rowsDuplicates
폐기물구분 is highly overall correlated with 처리방법High correlation
처리방법 is highly overall correlated with 폐기물구분High correlation
연락처 has 42 (3.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:32:35.421907
Analysis finished2023-12-12 23:32:36.348316
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐기물구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
사업장폐기물
859 
지정폐기물
467 

Length

Max length6
Median length6
Mean length5.647813
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장폐기물 859
64.8%
지정폐기물 467
35.2%

Length

2023-12-13T08:32:36.403507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:36.490994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물 859
64.8%
지정폐기물 467
35.2%
Distinct461
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T08:32:36.693507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length9.6802413
Min length2

Characters and Unicode

Total characters12836
Distinct characters369
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

Unique237 ?
Unique (%)17.9%

Sample

1st row강원도원주교육지원청
2nd row강원도원주교육지원청
3rd row연세명인병원
4th row(주)상호씨앤에스
5th row원스피리츠(주) 농업회사법인
ValueCountFrequency (%)
금광배출인협회 57
 
3.4%
주식회사 52
 
3.1%
육군 28
 
1.7%
주)성창환경 27
 
1.6%
제7639부대 24
 
1.4%
원주시 23
 
1.4%
상하수도사업소 23
 
1.4%
22
 
1.3%
대한환경산업 22
 
1.3%
강원도자동차전문정비사업조합원주지회 22
 
1.3%
Other values (501) 1365
82.0%
2023-12-13T08:32:37.026226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1082
 
8.4%
( 755
 
5.9%
) 755
 
5.9%
543
 
4.2%
339
 
2.6%
281
 
2.2%
248
 
1.9%
243
 
1.9%
203
 
1.6%
185
 
1.4%
Other values (359) 8202
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10720
83.5%
Open Punctuation 755
 
5.9%
Close Punctuation 755
 
5.9%
Space Separator 339
 
2.6%
Decimal Number 207
 
1.6%
Uppercase Letter 45
 
0.4%
Lowercase Letter 11
 
0.1%
Other Punctuation 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1082
 
10.1%
543
 
5.1%
281
 
2.6%
248
 
2.3%
243
 
2.3%
203
 
1.9%
185
 
1.7%
181
 
1.7%
167
 
1.6%
153
 
1.4%
Other values (322) 7434
69.3%
Uppercase Letter
ValueCountFrequency (%)
K 14
31.1%
T 7
15.6%
A 6
13.3%
C 4
 
8.9%
S 3
 
6.7%
P 2
 
4.4%
I 2
 
4.4%
N 2
 
4.4%
J 1
 
2.2%
G 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
3 38
18.4%
7 36
17.4%
6 35
16.9%
9 35
16.9%
8 24
11.6%
1 21
10.1%
2 12
 
5.8%
5 4
 
1.9%
0 2
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
k 3
27.3%
m 1
 
9.1%
s 1
 
9.1%
n 1
 
9.1%
e 1
 
9.1%
t 1
 
9.1%
w 1
 
9.1%
r 1
 
9.1%
o 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
/ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 755
100.0%
Close Punctuation
ValueCountFrequency (%)
) 755
100.0%
Space Separator
ValueCountFrequency (%)
339
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10721
83.5%
Common 2059
 
16.0%
Latin 56
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1082
 
10.1%
543
 
5.1%
281
 
2.6%
248
 
2.3%
243
 
2.3%
203
 
1.9%
185
 
1.7%
181
 
1.7%
167
 
1.6%
153
 
1.4%
Other values (323) 7435
69.3%
Latin
ValueCountFrequency (%)
K 14
25.0%
T 7
12.5%
A 6
10.7%
C 4
 
7.1%
k 3
 
5.4%
S 3
 
5.4%
P 2
 
3.6%
I 2
 
3.6%
N 2
 
3.6%
m 1
 
1.8%
Other values (12) 12
21.4%
Common
ValueCountFrequency (%)
( 755
36.7%
) 755
36.7%
339
16.5%
3 38
 
1.8%
7 36
 
1.7%
6 35
 
1.7%
9 35
 
1.7%
8 24
 
1.2%
1 21
 
1.0%
2 12
 
0.6%
Other values (4) 9
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10720
83.5%
ASCII 2115
 
16.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1082
 
10.1%
543
 
5.1%
281
 
2.6%
248
 
2.3%
243
 
2.3%
203
 
1.9%
185
 
1.7%
181
 
1.7%
167
 
1.6%
153
 
1.4%
Other values (322) 7434
69.3%
ASCII
ValueCountFrequency (%)
( 755
35.7%
) 755
35.7%
339
16.0%
3 38
 
1.8%
7 36
 
1.7%
6 35
 
1.7%
9 35
 
1.7%
8 24
 
1.1%
1 21
 
1.0%
K 14
 
0.7%
Other values (26) 63
 
3.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct419
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T08:32:37.259966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.984917
Min length2

Characters and Unicode

Total characters15892
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

Unique209 ?
Unique (%)15.8%

Sample

1st row224-83-00045
2nd row224-83-00045
3rd row329-90-01589
4th row619-88-01679
5th row515-86-02178
ValueCountFrequency (%)
779-10-01443 57
 
4.3%
224-83-02140 35
 
2.6%
224-83-04153 29
 
2.2%
224-85-20439 27
 
2.0%
224-81-13508 23
 
1.7%
224-82-07885 22
 
1.7%
224-83-02024 20
 
1.5%
102-81-05450 20
 
1.5%
224-81-06308 19
 
1.4%
224-81-38867 18
 
1.4%
Other values (409) 1056
79.6%
2023-12-13T08:32:37.630581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2811
17.7%
- 2652
16.7%
8 1748
11.0%
1 1708
10.7%
4 1618
10.2%
0 1564
9.8%
3 894
 
5.6%
5 872
 
5.5%
6 698
 
4.4%
7 683
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13240
83.3%
Dash Punctuation 2652
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2811
21.2%
8 1748
13.2%
1 1708
12.9%
4 1618
12.2%
0 1564
11.8%
3 894
 
6.8%
5 872
 
6.6%
6 698
 
5.3%
7 683
 
5.2%
9 644
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 2652
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15892
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2811
17.7%
- 2652
16.7%
8 1748
11.0%
1 1708
10.7%
4 1618
10.2%
0 1564
9.8%
3 894
 
5.6%
5 872
 
5.5%
6 698
 
4.4%
7 683
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2811
17.7%
- 2652
16.7%
8 1748
11.0%
1 1708
10.7%
4 1618
10.2%
0 1564
9.8%
3 894
 
5.6%
5 872
 
5.5%
6 698
 
4.4%
7 683
 
4.3%
Distinct115
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T08:32:37.860961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length64
Mean length20.355204
Min length1

Characters and Unicode

Total characters26991
Distinct characters242
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

Unique36 ?
Unique (%)2.7%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row폐가구류_ 폐도장목_ 폐목재포장재_ 폐전선드럼(접착제_ 페인트_ 기름_ 콘크리트 등의 물질이 사용된 목재를 말한다)
3rd row그 밖의 폐섬유
4th row축산물가공잔재물(동물성 유지류는 제외한다)
5th row그 밖의 식물성잔재물
ValueCountFrequency (%)
504
 
10.3%
밖의 502
 
10.3%
제외한다 287
 
5.9%
폐합성수지류(폐염화비닐수지류는 265
 
5.4%
폐유 178
 
3.7%
말한다 174
 
3.6%
149
 
3.1%
폐기물 105
 
2.2%
등을 97
 
2.0%
수용성절삭유 85
 
1.7%
Other values (198) 2526
51.8%
2023-12-13T08:32:38.306878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3549
 
13.1%
1734
 
6.4%
1083
 
4.0%
792
 
2.9%
781
 
2.9%
692
 
2.6%
669
 
2.5%
593
 
2.2%
553
 
2.0%
550
 
2.0%
Other values (232) 15995
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21139
78.3%
Space Separator 3549
 
13.1%
Close Punctuation 619
 
2.3%
Open Punctuation 619
 
2.3%
Lowercase Letter 510
 
1.9%
Decimal Number 335
 
1.2%
Connector Punctuation 217
 
0.8%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1734
 
8.2%
1083
 
5.1%
792
 
3.7%
781
 
3.7%
692
 
3.3%
669
 
3.2%
593
 
2.8%
553
 
2.6%
550
 
2.6%
504
 
2.4%
Other values (213) 13188
62.4%
Lowercase Letter
ValueCountFrequency (%)
e 170
33.3%
s 85
16.7%
g 85
16.7%
r 85
16.7%
a 85
16.7%
Decimal Number
ValueCountFrequency (%)
2 145
43.3%
0 85
25.4%
1 53
 
15.8%
8 51
 
15.2%
4 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 483
78.0%
] 85
 
13.7%
51
 
8.2%
Open Punctuation
ValueCountFrequency (%)
( 483
78.0%
[ 85
 
13.7%
51
 
8.2%
Space Separator
ValueCountFrequency (%)
3549
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 217
100.0%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21139
78.3%
Common 5342
 
19.8%
Latin 510
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1734
 
8.2%
1083
 
5.1%
792
 
3.7%
781
 
3.7%
692
 
3.3%
669
 
3.2%
593
 
2.8%
553
 
2.6%
550
 
2.6%
504
 
2.4%
Other values (213) 13188
62.4%
Common
ValueCountFrequency (%)
3549
66.4%
) 483
 
9.0%
( 483
 
9.0%
_ 217
 
4.1%
2 145
 
2.7%
[ 85
 
1.6%
] 85
 
1.6%
0 85
 
1.6%
1 53
 
1.0%
51
 
1.0%
Other values (4) 106
 
2.0%
Latin
ValueCountFrequency (%)
e 170
33.3%
s 85
16.7%
g 85
16.7%
r 85
16.7%
a 85
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20802
77.1%
ASCII 5747
 
21.3%
Compat Jamo 337
 
1.2%
None 105
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3549
61.8%
) 483
 
8.4%
( 483
 
8.4%
_ 217
 
3.8%
e 170
 
3.0%
2 145
 
2.5%
s 85
 
1.5%
[ 85
 
1.5%
g 85
 
1.5%
r 85
 
1.5%
Other values (6) 360
 
6.3%
Hangul
ValueCountFrequency (%)
1734
 
8.3%
1083
 
5.2%
792
 
3.8%
781
 
3.8%
692
 
3.3%
669
 
3.2%
593
 
2.9%
553
 
2.7%
550
 
2.6%
504
 
2.4%
Other values (212) 12851
61.8%
Compat Jamo
ValueCountFrequency (%)
337
100.0%
None
ValueCountFrequency (%)
51
48.6%
51
48.6%
· 3
 
2.9%

연락처
Text

MISSING 

Distinct359
Distinct (%)28.0%
Missing42
Missing (%)3.2%
Memory size10.5 KiB
2023-12-13T08:32:38.578799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.582555
Min length1

Characters and Unicode

Total characters13588
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)14.0%

Sample

1st row033-760-5715
2nd row033-760-5715
3rd row033-813-1111
4th row033-735-1014
5th row033-763-7790
ValueCountFrequency (%)
033-732-3328 66
 
5.9%
033-746-0993 28
 
2.5%
033-760-5752 22
 
2.0%
033-761-7833 22
 
2.0%
033-737-4269 20
 
1.8%
033-730-3939 19
 
1.7%
033-731-4258 18
 
1.6%
033-262-7824 18
 
1.6%
033-740-8219 17
 
1.5%
033-730-5117 16
 
1.4%
Other values (349) 872
78.0%
2023-12-13T08:32:38.923211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3234
23.8%
- 2227
16.4%
0 1926
14.2%
7 1530
11.3%
1 822
 
6.0%
2 772
 
5.7%
6 676
 
5.0%
4 657
 
4.8%
5 548
 
4.0%
8 543
 
4.0%
Other values (2) 653
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11193
82.4%
Dash Punctuation 2227
 
16.4%
Space Separator 168
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3234
28.9%
0 1926
17.2%
7 1530
13.7%
1 822
 
7.3%
2 772
 
6.9%
6 676
 
6.0%
4 657
 
5.9%
5 548
 
4.9%
8 543
 
4.9%
9 485
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 2227
100.0%
Space Separator
ValueCountFrequency (%)
168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3234
23.8%
- 2227
16.4%
0 1926
14.2%
7 1530
11.3%
1 822
 
6.0%
2 772
 
5.7%
6 676
 
5.0%
4 657
 
4.8%
5 548
 
4.0%
8 543
 
4.0%
Other values (2) 653
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3234
23.8%
- 2227
16.4%
0 1926
14.2%
7 1530
11.3%
1 822
 
6.0%
2 772
 
5.7%
6 676
 
5.0%
4 657
 
4.8%
5 548
 
4.0%
8 543
 
4.0%
Other values (2) 653
 
4.8%
Distinct450
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T08:32:39.298872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length7.0331825
Min length1

Characters and Unicode

Total characters9326
Distinct characters273
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

Unique267 ?
Unique (%)20.1%

Sample

1st row(주)성창환경 원주지점
2nd row(주)성창환경 원주지점
3rd row제이원환경2
4th row(주)두성
5th row(주)휴먼랜드
ValueCountFrequency (%)
중부신대한정유산업(주 102
 
7.4%
천지에너텍 47
 
3.4%
영서개발 42
 
3.0%
동신환경 34
 
2.5%
주)한국라이신화공사 33
 
2.4%
영덕산업 27
 
2.0%
주)케이에스에너지 18
 
1.3%
케이그린(주 18
 
1.3%
동신환경(합 16
 
1.2%
합)영덕산업 16
 
1.2%
Other values (439) 1029
74.5%
2023-12-13T08:32:39.871500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 784
 
8.4%
) 784
 
8.4%
705
 
7.6%
361
 
3.9%
357
 
3.8%
353
 
3.8%
326
 
3.5%
233
 
2.5%
226
 
2.4%
214
 
2.3%
Other values (263) 4983
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7606
81.6%
Open Punctuation 784
 
8.4%
Close Punctuation 784
 
8.4%
Space Separator 66
 
0.7%
Connector Punctuation 49
 
0.5%
Uppercase Letter 17
 
0.2%
Decimal Number 11
 
0.1%
Other Punctuation 5
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
705
 
9.3%
361
 
4.7%
357
 
4.7%
353
 
4.6%
326
 
4.3%
233
 
3.1%
226
 
3.0%
214
 
2.8%
206
 
2.7%
204
 
2.7%
Other values (245) 4421
58.1%
Uppercase Letter
ValueCountFrequency (%)
T 5
29.4%
E 4
23.5%
K 3
17.6%
S 3
17.6%
R 1
 
5.9%
M 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 8
72.7%
1 1
 
9.1%
8 1
 
9.1%
7 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 1
 
20.0%
1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 784
100.0%
Close Punctuation
ValueCountFrequency (%)
) 784
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 49
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7610
81.6%
Common 1699
 
18.2%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
705
 
9.3%
361
 
4.7%
357
 
4.7%
353
 
4.6%
326
 
4.3%
233
 
3.1%
226
 
3.0%
214
 
2.8%
206
 
2.7%
204
 
2.7%
Other values (246) 4425
58.1%
Common
ValueCountFrequency (%)
( 784
46.1%
) 784
46.1%
66
 
3.9%
_ 49
 
2.9%
2 8
 
0.5%
. 3
 
0.2%
& 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
T 5
29.4%
E 4
23.5%
K 3
17.6%
S 3
17.6%
R 1
 
5.9%
M 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7606
81.6%
ASCII 1715
 
18.4%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 784
45.7%
) 784
45.7%
66
 
3.8%
_ 49
 
2.9%
2 8
 
0.5%
T 5
 
0.3%
E 4
 
0.2%
. 3
 
0.2%
K 3
 
0.2%
S 3
 
0.2%
Other values (6) 6
 
0.3%
Hangul
ValueCountFrequency (%)
705
 
9.3%
361
 
4.7%
357
 
4.7%
353
 
4.6%
326
 
4.3%
233
 
3.1%
226
 
3.0%
214
 
2.8%
206
 
2.7%
204
 
2.7%
Other values (245) 4421
58.1%
None
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Distinct445
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T08:32:40.185069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.5882353
Min length2

Characters and Unicode

Total characters10062
Distinct characters270
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)20.5%

Sample

1st row(주)성창환경 원주지점
2nd row(주)성창환경 원주지점
3rd row경기환경에너지(주)
4th row(주)우신식품
5th row(주)홍보에너지
ValueCountFrequency (%)
주)성창환경 109
 
7.6%
원주시 92
 
6.4%
신대한정유산업(주 71
 
4.9%
성림유화(주 53
 
3.7%
환경사업소 53
 
3.7%
원주시환경사업소 52
 
3.6%
주)한국라이신화공사 33
 
2.3%
케이지이티에스(주 25
 
1.7%
마루이엔티(주 23
 
1.6%
신일정유 18
 
1.3%
Other values (438) 907
63.2%
2023-12-13T08:32:40.652634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1038
 
10.3%
( 858
 
8.5%
) 858
 
8.5%
350
 
3.5%
344
 
3.4%
323
 
3.2%
294
 
2.9%
251
 
2.5%
246
 
2.4%
227
 
2.3%
Other values (260) 5273
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8161
81.1%
Open Punctuation 858
 
8.5%
Close Punctuation 858
 
8.5%
Space Separator 112
 
1.1%
Uppercase Letter 54
 
0.5%
Decimal Number 14
 
0.1%
Other Symbol 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1038
 
12.7%
350
 
4.3%
344
 
4.2%
323
 
4.0%
294
 
3.6%
251
 
3.1%
246
 
3.0%
227
 
2.8%
215
 
2.6%
207
 
2.5%
Other values (242) 4666
57.2%
Uppercase Letter
ValueCountFrequency (%)
K 10
18.5%
G 9
16.7%
E 9
16.7%
T 9
16.7%
S 8
14.8%
M 3
 
5.6%
O 2
 
3.7%
N 1
 
1.9%
P 1
 
1.9%
R 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 13
92.9%
2 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 858
100.0%
Close Punctuation
ValueCountFrequency (%)
) 858
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8165
81.1%
Common 1843
 
18.3%
Latin 54
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1038
 
12.7%
350
 
4.3%
344
 
4.2%
323
 
4.0%
294
 
3.6%
251
 
3.1%
246
 
3.0%
227
 
2.8%
215
 
2.6%
207
 
2.5%
Other values (243) 4670
57.2%
Latin
ValueCountFrequency (%)
K 10
18.5%
G 9
16.7%
E 9
16.7%
T 9
16.7%
S 8
14.8%
M 3
 
5.6%
O 2
 
3.7%
N 1
 
1.9%
P 1
 
1.9%
R 1
 
1.9%
Common
ValueCountFrequency (%)
( 858
46.6%
) 858
46.6%
112
 
6.1%
1 13
 
0.7%
_ 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8161
81.1%
ASCII 1897
 
18.9%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1038
 
12.7%
350
 
4.3%
344
 
4.2%
323
 
4.0%
294
 
3.6%
251
 
3.1%
246
 
3.0%
227
 
2.8%
215
 
2.6%
207
 
2.5%
Other values (242) 4666
57.2%
ASCII
ValueCountFrequency (%)
( 858
45.2%
) 858
45.2%
112
 
5.9%
1 13
 
0.7%
K 10
 
0.5%
G 9
 
0.5%
E 9
 
0.5%
T 9
 
0.5%
S 8
 
0.4%
M 3
 
0.2%
Other values (7) 8
 
0.4%
None
ValueCountFrequency (%)
4
100.0%

처리방법
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
재활용(중간가공폐기물 제조)
278 
재활용(연료·고형연료제품 제조)
182 
재활용(원료 제조)
146 
중간처분(일반소각)
138 
매립(지방자치단체매립시설)
118 
Other values (27)
464 

Length

Max length19
Median length17
Mean length12.72549
Min length5

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row재활용(중간가공폐기물 제조)
2nd row재활용(중간가공폐기물 제조)
3rd row중간처분(일반소각)
4th row재활용(농업생산활동에 사용)
5th row재활용(연료·고형연료제품 제조)

Common Values

ValueCountFrequency (%)
재활용(중간가공폐기물 제조) 278
21.0%
재활용(연료·고형연료제품 제조) 182
13.7%
재활용(원료 제조) 146
11.0%
중간처분(일반소각) 138
10.4%
매립(지방자치단체매립시설) 118
8.9%
중간처분(고온소각) 90
 
6.8%
재활용(직접 제품제조) 60
 
4.5%
재활용(파쇄.분쇄) 59
 
4.4%
재활용(농업생산활동에 사용) 58
 
4.4%
재활용(기타) 39
 
2.9%
Other values (22) 158
11.9%

Length

2023-12-13T08:32:40.816132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 606
28.6%
재활용(중간가공폐기물 278
13.1%
재활용(연료·고형연료제품 182
 
8.6%
재활용(원료 146
 
6.9%
중간처분(일반소각 138
 
6.5%
매립(지방자치단체매립시설 118
 
5.6%
중간처분(고온소각 90
 
4.2%
사용 90
 
4.2%
재활용(직접 72
 
3.4%
제품제조 60
 
2.8%
Other values (27) 338
16.0%
Distinct437
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-13T08:32:41.086656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length21.026395
Min length1

Characters and Unicode

Total characters27881
Distinct characters257
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

Unique215 ?
Unique (%)16.2%

Sample

1st row강원도 원주시 단구로 151_ 원주교육지원청 (명륜동)
2nd row강원도 원주시 단구로 151_ 원주교육지원청 (명륜동)
3rd row강원도 원주시 평원로 100_ A동 (학성동)
4th row강원도 원주시 흥업면 봉현길 18-1
5th row강원도 원주시 지정면 월송석화로 288_ 나동 1층
ValueCountFrequency (%)
강원도 1262
19.7%
원주시 1260
19.7%
문막읍 358
 
5.6%
지정면 190
 
3.0%
우산동 120
 
1.9%
문막공단길 109
 
1.7%
호저면 84
 
1.3%
소초면 84
 
1.3%
흥업면 73
 
1.1%
궁촌리 69
 
1.1%
Other values (608) 2800
43.7%
2023-12-13T08:32:41.541731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5608
20.1%
2720
 
9.8%
1332
 
4.8%
1311
 
4.7%
1308
 
4.7%
1274
 
4.6%
1 974
 
3.5%
2 682
 
2.4%
536
 
1.9%
500
 
1.8%
Other values (247) 11636
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16766
60.1%
Space Separator 5608
 
20.1%
Decimal Number 4319
 
15.5%
Dash Punctuation 487
 
1.7%
Close Punctuation 286
 
1.0%
Open Punctuation 286
 
1.0%
Connector Punctuation 96
 
0.3%
Uppercase Letter 29
 
0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2720
16.2%
1332
 
7.9%
1311
 
7.8%
1308
 
7.8%
1274
 
7.6%
536
 
3.2%
500
 
3.0%
494
 
2.9%
483
 
2.9%
482
 
2.9%
Other values (220) 6326
37.7%
Decimal Number
ValueCountFrequency (%)
1 974
22.6%
2 682
15.8%
3 403
9.3%
0 385
 
8.9%
5 379
 
8.8%
4 348
 
8.1%
6 325
 
7.5%
7 310
 
7.2%
8 292
 
6.8%
9 221
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
M 7
24.1%
P 6
20.7%
G 6
20.7%
A 2
 
6.9%
C 2
 
6.9%
K 2
 
6.9%
O 1
 
3.4%
Y 1
 
3.4%
S 1
 
3.4%
T 1
 
3.4%
Space Separator
ValueCountFrequency (%)
5608
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 487
100.0%
Close Punctuation
ValueCountFrequency (%)
) 286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 286
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 96
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16768
60.1%
Common 11084
39.8%
Latin 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2720
16.2%
1332
 
7.9%
1311
 
7.8%
1308
 
7.8%
1274
 
7.6%
536
 
3.2%
500
 
3.0%
494
 
2.9%
483
 
2.9%
482
 
2.9%
Other values (221) 6328
37.7%
Common
ValueCountFrequency (%)
5608
50.6%
1 974
 
8.8%
2 682
 
6.2%
- 487
 
4.4%
3 403
 
3.6%
0 385
 
3.5%
5 379
 
3.4%
4 348
 
3.1%
6 325
 
2.9%
7 310
 
2.8%
Other values (6) 1183
 
10.7%
Latin
ValueCountFrequency (%)
M 7
24.1%
P 6
20.7%
G 6
20.7%
A 2
 
6.9%
C 2
 
6.9%
K 2
 
6.9%
O 1
 
3.4%
Y 1
 
3.4%
S 1
 
3.4%
T 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16766
60.1%
ASCII 11113
39.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5608
50.5%
1 974
 
8.8%
2 682
 
6.1%
- 487
 
4.4%
3 403
 
3.6%
0 385
 
3.5%
5 379
 
3.4%
4 348
 
3.1%
6 325
 
2.9%
7 310
 
2.8%
Other values (16) 1212
 
10.9%
Hangul
ValueCountFrequency (%)
2720
16.2%
1332
 
7.9%
1311
 
7.8%
1308
 
7.8%
1274
 
7.6%
536
 
3.2%
500
 
3.0%
494
 
2.9%
483
 
2.9%
482
 
2.9%
Other values (220) 6326
37.7%
None
ValueCountFrequency (%)
2
100.0%
Distinct454
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Minimum1995-04-02 00:00:00
Maximum2023-04-12 00:00:00
2023-12-13T08:32:41.704972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:41.839477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Minimum2023-05-16 00:00:00
Maximum2023-05-16 00:00:00
2023-12-13T08:32:41.928473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:42.025557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T08:32:42.096271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분처리방법
폐기물구분1.0000.797
처리방법0.7971.000
2023-12-13T08:32:42.182462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법폐기물구분
처리방법1.0000.651
폐기물구분0.6511.000
2023-12-13T08:32:42.255466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분처리방법
폐기물구분1.0000.651
처리방법0.6511.000

Missing values

2023-12-13T08:32:36.118203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:32:36.294911image/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

폐기물구분상호명사업자등록번호폐기물종류연락처운반자명처리업소명처리방법사업장도로명주소신고기준년도데이터기준일자
0사업장폐기물강원도원주교육지원청224-83-00045폐합성수지류(폐염화비닐수지류는 제외한다)033-760-5715(주)성창환경 원주지점(주)성창환경 원주지점재활용(중간가공폐기물 제조)강원도 원주시 단구로 151_ 원주교육지원청 (명륜동)2023-04-122023-05-16
1사업장폐기물강원도원주교육지원청224-83-00045폐가구류_ 폐도장목_ 폐목재포장재_ 폐전선드럼(접착제_ 페인트_ 기름_ 콘크리트 등의 물질이 사용된 목재를 말한다)033-760-5715(주)성창환경 원주지점(주)성창환경 원주지점재활용(중간가공폐기물 제조)강원도 원주시 단구로 151_ 원주교육지원청 (명륜동)2023-04-122023-05-16
2사업장폐기물연세명인병원329-90-01589그 밖의 폐섬유033-813-1111제이원환경2경기환경에너지(주)중간처분(일반소각)강원도 원주시 평원로 100_ A동 (학성동)2023-03-302023-05-16
3사업장폐기물(주)상호씨앤에스619-88-01679축산물가공잔재물(동물성 유지류는 제외한다)033-735-1014(주)두성(주)우신식품재활용(농업생산활동에 사용)강원도 원주시 흥업면 봉현길 18-12023-03-222023-05-16
4사업장폐기물원스피리츠(주) 농업회사법인515-86-02178그 밖의 식물성잔재물<NA>(주)휴먼랜드(주)홍보에너지재활용(연료·고형연료제품 제조)강원도 원주시 지정면 월송석화로 288_ 나동 1층2023-03-172023-05-16
5사업장폐기물농업회사법인 (주)진식품224-81-44883축산물가공잔재물(동물성 유지류는 제외한다)033-763-7790(주)두성(주)우신식품재활용(농업생산활동에 사용)강원도 원주시 호저면 호저로 516-32023-03-172023-05-16
6사업장폐기물부강식품306-81-39023축산물가공잔재물(동물성 유지류는 제외한다)033-747-3562(주)두성(주)우신식품재활용(농업생산활동에 사용)강원도 원주시 호저면 원문로 537-12023-03-172023-05-16
7사업장폐기물현대요양병원150-07-00060그 밖의 폐섬유033-764-7119제이원환경2경기환경에너지(주)중간처분(일반소각)강원도 원주시 치악로1604번길 22 (단구동)2023-03-102023-05-16
8사업장폐기물제이엠에스195-18-01734폐합성수지류(폐염화비닐수지류는 제외한다)<NA>광명마루이엔티(주)재활용(중간가공폐기물 제조)강원도 원주시 소초면 바우실길 152023-02-282023-05-16
9사업장폐기물한국도로공사 원주지사224-82-00257폐토사033-811-6253하나케이(주)하나케이(주)재활용(직접 제품제조)강원도 원주시 북원로 2873 (태장동)2023-02-212023-05-16
폐기물구분상호명사업자등록번호폐기물종류연락처운반자명처리업소명처리방법사업장도로명주소신고기준년도데이터기준일자
1316지정폐기물강원레저개발(주)224-81-04009폐윤활유(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조에 따른 재활용의무 대상 제품ㆍ포장재인 기어유 및 내연기관용 윤활유를 말한다)033-731-9941중부신대한정유산업(주)신일정유재활용(연료·고형연료제품 제조)강원도 원주시 소초면 수암리 1242000-06-132023-05-16
1317지정폐기물에이치디씨리조트 주식회사224-81-06308그 밖의 폐유기용제033-730-3939중부신대한정유산업(주)신대한정유산업(주)재활용(연료·고형연료제품 제조)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1318지정폐기물에이치디씨리조트 주식회사224-81-06308그 밖의 폐산033-730-3939(주)한국라이신화공사(주)한국라이신화공사재활용(원료 제조)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1319지정폐기물에이치디씨리조트 주식회사224-81-06308폐황산이 포함된 2차폐축전지033-730-3939(주)삼지유원(주)삼지유원재활용(원료 제조)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1320지정폐기물에이치디씨리조트 주식회사224-81-06308폐황산이 포함된 2차폐축전지033-730-3939미래상사미래상사재활용(수리·수선 재사용)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1321지정폐기물에이치디씨리조트 주식회사224-81-06308폐황산이 포함된 2차폐축전지033-730-3939소초메탈삼지금속공업(주)예당공장재활용(원료 제조)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1322지정폐기물에이치디씨리조트 주식회사224-81-06308그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다]033-730-3939중부신대한정유산업(주)성림유화(주)중간처분(일반소각)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1323지정폐기물에이치디씨리조트 주식회사224-81-06308폐윤활유(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조에 따른 재활용의무 대상 제품ㆍ포장재인 기어유 및 내연기관용 윤활유를 말한다)033-730-3939중부신대한정유산업(주)(주)명신정유재활용(연료·고형연료제품 제조)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1324지정폐기물에이치디씨리조트 주식회사224-81-06308폐유성페인트033-730-3939중부신대한정유산업(주)성림유화(주)중간처분(고온소각)강원도 원주시 지정면 월송리 1061 한솔오크밸리2000-05-032023-05-16
1325지정폐기물남원주폐차장224-23-62649폐황산이 포함된 2차폐축전지<NA>(주)여해금속(주)여해금속재활용(원료 제조)강원도 원주시 무실동 1444-1 _3호_ 1445번지2000-10-312023-05-16

Duplicate rows

Most frequently occurring

폐기물구분상호명사업자등록번호폐기물종류연락처운반자명처리업소명처리방법사업장도로명주소신고기준년도데이터기준일자# duplicates
3사업장폐기물원주시청(환경사업소)224-83-00026그 밖의 폐기물033-737-4320자가원주시 환경사업소매립(관리형매립시설)강원도 원주시 흥업면 수루니길 1162019-03-202023-05-163
0사업장폐기물삼아제약(주)138-81-05823폐의약품류033-769-8561성림유화성림유화중간처분(일반소각)강원도 원주시 문막읍 동화공단로 492010-03-032023-05-162
1사업장폐기물삼양식품(주)원주공장102-81-05450그 밖의 식물성잔재물033-740-8219대현상사대현상사재활용(농업생산활동에 사용)강원도 원주시 우산로 177 (우산동)2004-03-152023-05-162
2사업장폐기물우리손에프앤지 농업회사법인 (주)강원엘피씨779-85-00267축산물가공잔재물(동물성 유지류는 제외한다)033-732-1300동신환경(합)(주)강원바이오에너지재활용(연료·고형연료제품 제조)강원도 원주시 저금어지길 456 (가현동)2010-06-112023-05-162
4지정폐기물(주)삼성환경엔지니어링224-81-24441그 밖의 폐유기용제033-742-6431(주)초심케이지이티에스(주)중간처분(고온소각)강원도 원주시 호저면 만종리 217-12020-02-212023-05-162
5지정폐기물강원도원주교육지원청224-83-00045연구ㆍ검사용 폐시약033-760-5631(주)드림에코성림유화(주)중간처분(고온소각)강원도 원주시 명륜동 205-40 원주교육지원청2019-11-112023-05-162
6지정폐기물국립과학수사연구원117-83-00183그 밖의 폐유기용제033-902-5114(주)초심케이지이티에스(주)중간처분(고온소각)2016-03-182023-05-162
7지정폐기물금광배출인협회779-10-01443그 밖의 폐유기용제033-732-3328천지에너텍(주)케이비아이국인산업중간처분(일반소각)강원도 원주시 문막읍 궁촌리 1002-52008-09-032023-05-162
8지정폐기물금광배출인협회779-10-01443그 밖의 폐유기용제033-732-3328케이그린(주)(주)케이비아이국인산업중간처분(일반소각)강원도 원주시 문막읍 궁촌리 1002-52008-09-032023-05-162
9지정폐기물금광배출인협회779-10-01443폐수성페인트033-732-3328천지에너텍신대한정유산업(주)중간처분(고온소각)강원도 원주시 문막읍 궁촌리 1002-52008-09-032023-05-162