Overview

Dataset statistics

Number of variables9
Number of observations815
Missing cells12
Missing cells (%)0.2%
Duplicate rows10
Duplicate rows (%)1.2%
Total size in memory57.4 KiB
Average record size in memory72.2 B

Variable types

Text7
Categorical1
DateTime1

Dataset

Description충청북도_제천시_사업장폐기물배출자신고현황상호/사업자등록번호/전화번호/신고일/생활계구분/폐기물 종류/운반자/처리업소명/처리방법/사업장도로명주소/사업장지번주소/데이터기준일
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15081091/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 10 (1.2%) duplicate rowsDuplicates
사업자등록번호 has 10 (1.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:52:50.413320
Analysis finished2023-12-12 19:52:51.452785
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct263
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-13T04:52:51.569620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length9.401227
Min length2

Characters and Unicode

Total characters7662
Distinct characters285
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)15.1%

Sample

1st row제천광역친환경영농조합법인
2nd row제천광역친환경영농조합법인
3rd row청풍호노인사랑병원
4th row이환산업
5th row이환산업
ValueCountFrequency (%)
주식회사 73
 
7.2%
한국철도공사 24
 
2.4%
아세아시멘트(주)제천 22
 
2.2%
일진글로벌 20
 
2.0%
코스맥스바이오(주 20
 
2.0%
대림비앤코주식회사 19
 
1.9%
주)케이엠 16
 
1.6%
성대산업(주 14
 
1.4%
청풍산업 14
 
1.4%
세명대학교 13
 
1.3%
Other values (275) 782
76.9%
2023-12-13T04:52:51.877935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 652
 
8.5%
( 572
 
7.5%
) 572
 
7.5%
제 224
 
2.9%
202
 
2.6%
사 200
 
2.6%
천 190
 
2.5%
스 151
 
2.0%
이 147
 
1.9%
업 146
 
1.9%
Other values (275) 4606
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6239
81.4%
Open Punctuation 572
 
7.5%
Close Punctuation 572
 
7.5%
Space Separator 202
 
2.6%
Decimal Number 67
 
0.9%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 652
 
10.5%
제 224
 
3.6%
사 200
 
3.2%
천 190
 
3.0%
스 151
 
2.4%
이 147
 
2.4%
업 146
 
2.3%
식 142
 
2.3%
대 135
 
2.2%
공 128
 
2.1%
Other values (262) 4124
66.1%
Decimal Number
ValueCountFrequency (%)
2 21
31.3%
3 19
28.4%
1 11
16.4%
4 6
 
9.0%
6 5
 
7.5%
0 5
 
7.5%
Uppercase Letter
ValueCountFrequency (%)
S 4
40.0%
D 4
40.0%
I 1
 
10.0%
V 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 572
100.0%
Close Punctuation
ValueCountFrequency (%)
) 572
100.0%
Space Separator
ValueCountFrequency (%)
202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6239
81.4%
Common 1413
 
18.4%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 652
 
10.5%
제 224
 
3.6%
사 200
 
3.2%
천 190
 
3.0%
스 151
 
2.4%
이 147
 
2.4%
업 146
 
2.3%
식 142
 
2.3%
대 135
 
2.2%
공 128
 
2.1%
Other values (262) 4124
66.1%
Common
ValueCountFrequency (%)
( 572
40.5%
) 572
40.5%
202
 
14.3%
2 21
 
1.5%
3 19
 
1.3%
1 11
 
0.8%
4 6
 
0.4%
6 5
 
0.4%
0 5
 
0.4%
Latin
ValueCountFrequency (%)
S 4
40.0%
D 4
40.0%
I 1
 
10.0%
V 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6239
81.4%
ASCII 1423
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 652
 
10.5%
제 224
 
3.6%
사 200
 
3.2%
천 190
 
3.0%
스 151
 
2.4%
이 147
 
2.4%
업 146
 
2.3%
식 142
 
2.3%
대 135
 
2.2%
공 128
 
2.1%
Other values (262) 4124
66.1%
ASCII
ValueCountFrequency (%)
( 572
40.2%
) 572
40.2%
202
 
14.2%
2 21
 
1.5%
3 19
 
1.3%
1 11
 
0.8%
4 6
 
0.4%
6 5
 
0.4%
0 5
 
0.4%
S 4
 
0.3%
Other values (3) 6
 
0.4%

사업자등록번호
Text

MISSING 

Distinct235
Distinct (%)29.2%
Missing10
Missing (%)1.2%
Memory size6.5 KiB
2023-12-13T04:52:52.108306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters9660
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

Unique107 ?
Unique (%)13.3%

Sample

1st row304-81-25203
2nd row304-81-25203
3rd row304-82-06936
4th row275-07-00791
5th row275-07-00791
ValueCountFrequency (%)
304-81-10210 30
 
3.7%
775-81-01311 26
 
3.2%
314-82-10024 24
 
3.0%
304-85-10159 23
 
2.9%
105-81-22365 20
 
2.5%
304-85-02552 19
 
2.4%
304-81-29062 16
 
2.0%
304-81-29951 14
 
1.7%
120-81-56302 13
 
1.6%
304-82-02468 13
 
1.6%
Other values (225) 607
75.4%
2023-12-13T04:52:52.427180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1610
16.7%
0 1447
15.0%
1 1273
13.2%
8 1080
11.2%
3 897
9.3%
4 828
8.6%
2 755
7.8%
5 588
 
6.1%
6 483
 
5.0%
7 381
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8050
83.3%
Dash Punctuation 1610
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1447
18.0%
1 1273
15.8%
8 1080
13.4%
3 897
11.1%
4 828
10.3%
2 755
9.4%
5 588
7.3%
6 483
 
6.0%
7 381
 
4.7%
9 318
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1610
16.7%
0 1447
15.0%
1 1273
13.2%
8 1080
11.2%
3 897
9.3%
4 828
8.6%
2 755
7.8%
5 588
 
6.1%
6 483
 
5.0%
7 381
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1610
16.7%
0 1447
15.0%
1 1273
13.2%
8 1080
11.2%
3 897
9.3%
4 828
8.6%
2 755
7.8%
5 588
 
6.1%
6 483
 
5.0%
7 381
 
3.9%

폐기물 종류
Text

Distinct100
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-13T04:52:52.706727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length54
Mean length13.429448
Min length2

Characters and Unicode

Total characters10945
Distinct characters201
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

Unique32 ?
Unique (%)3.9%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row폐합성수지류(폐염화비닐수지류는 제외한다)
3rd row그 밖의 폐섬유
4th row그 밖의 폐목재류
5th row폐합성수지류(폐염화비닐수지류는 제외한다)
ValueCountFrequency (%)
제외한다 195
 
10.2%
그 195
 
10.2%
밖의 195
 
10.2%
폐합성수지류(폐염화비닐수지류는 173
 
9.0%
폐합성수지류 57
 
3.0%
폐수처리오니 54
 
2.8%
폐목재류 49
 
2.6%
공정오니 43
 
2.2%
발생한 33
 
1.7%
폐콘크리트 32
 
1.7%
Other values (162) 886
46.3%
2023-12-13T04:52:53.222000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1103
 
10.1%
폐 853
 
7.8%
류 537
 
4.9%
수 525
 
4.8%
지 463
 
4.2%
성 369
 
3.4%
한 305
 
2.8%
합 271
 
2.5%
물 247
 
2.3%
( 243
 
2.2%
Other values (191) 6029
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9260
84.6%
Space Separator 1103
 
10.1%
Open Punctuation 244
 
2.2%
Close Punctuation 244
 
2.2%
Connector Punctuation 58
 
0.5%
Decimal Number 19
 
0.2%
Lowercase Letter 12
 
0.1%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 853
 
9.2%
류 537
 
5.8%
수 525
 
5.7%
지 463
 
5.0%
성 369
 
4.0%
한 305
 
3.3%
합 271
 
2.9%
물 247
 
2.7%
다 238
 
2.6%
는 237
 
2.6%
Other values (175) 5215
56.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
l 2
16.7%
h 2
16.7%
a 2
16.7%
t 2
16.7%
Decimal Number
ValueCountFrequency (%)
1 16
84.2%
3 2
 
10.5%
2 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 243
99.6%
「 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 243
99.6%
」 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1103
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 58
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9260
84.6%
Common 1671
 
15.3%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 853
 
9.2%
류 537
 
5.8%
수 525
 
5.7%
지 463
 
5.0%
성 369
 
4.0%
한 305
 
3.3%
합 271
 
2.9%
물 247
 
2.7%
다 238
 
2.6%
는 237
 
2.6%
Other values (175) 5215
56.3%
Common
ValueCountFrequency (%)
1103
66.0%
( 243
 
14.5%
) 243
 
14.5%
_ 58
 
3.5%
1 16
 
1.0%
. 3
 
0.2%
3 2
 
0.1%
2 1
 
0.1%
「 1
 
0.1%
」 1
 
0.1%
Latin
ValueCountFrequency (%)
e 4
28.6%
l 2
14.3%
C 2
14.3%
h 2
14.3%
a 2
14.3%
t 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9185
83.9%
ASCII 1683
 
15.4%
Compat Jamo 75
 
0.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1103
65.5%
( 243
 
14.4%
) 243
 
14.4%
_ 58
 
3.4%
1 16
 
1.0%
e 4
 
0.2%
. 3
 
0.2%
3 2
 
0.1%
l 2
 
0.1%
C 2
 
0.1%
Other values (4) 7
 
0.4%
Hangul
ValueCountFrequency (%)
폐 853
 
9.3%
류 537
 
5.8%
수 525
 
5.7%
지 463
 
5.0%
성 369
 
4.0%
한 305
 
3.3%
합 271
 
3.0%
물 247
 
2.7%
다 238
 
2.6%
는 237
 
2.6%
Other values (174) 5140
56.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 75
100.0%
None
ValueCountFrequency (%)
「 1
50.0%
」 1
50.0%

운반자
Text

Distinct298
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-13T04:52:53.646360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length6.7374233
Min length1

Characters and Unicode

Total characters5491
Distinct characters230
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)22.0%

Sample

1st row다물환경(주)
2nd row조영산업
3rd row(주)바른환경
4th row무진환경(주)
5th row무진환경(주)
ValueCountFrequency (%)
대영산업(주 41
 
5.1%
화신산업(주 39
 
4.8%
자가 34
 
4.2%
스카이산업(주 20
 
2.5%
대진환경산업(주 18
 
2.2%
주)이에스티 15
 
1.9%
자연환경(주 14
 
1.7%
합)환경미화사 12
 
1.5%
신월철거 12
 
1.5%
주식회사 10
 
1.2%
Other values (291) 590
73.3%
2023-12-13T04:52:54.176610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 587
 
10.7%
( 568
 
10.3%
) 567
 
10.3%
경 250
 
4.6%
업 244
 
4.4%
산 234
 
4.3%
환 230
 
4.2%
이 145
 
2.6%
대 112
 
2.0%
스 102
 
1.9%
Other values (220) 2452
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4255
77.5%
Open Punctuation 568
 
10.3%
Close Punctuation 567
 
10.3%
Space Separator 42
 
0.8%
Connector Punctuation 28
 
0.5%
Uppercase Letter 27
 
0.5%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 587
 
13.8%
경 250
 
5.9%
업 244
 
5.7%
산 234
 
5.5%
환 230
 
5.4%
이 145
 
3.4%
대 112
 
2.6%
스 102
 
2.4%
자 88
 
2.1%
에 83
 
2.0%
Other values (206) 2180
51.2%
Uppercase Letter
ValueCountFrequency (%)
S 6
22.2%
N 6
22.2%
E 4
14.8%
F 3
11.1%
D 3
11.1%
R 3
11.1%
T 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
4 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 567
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4255
77.5%
Common 1209
 
22.0%
Latin 27
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 587
 
13.8%
경 250
 
5.9%
업 244
 
5.7%
산 234
 
5.5%
환 230
 
5.4%
이 145
 
3.4%
대 112
 
2.6%
스 102
 
2.4%
자 88
 
2.1%
에 83
 
2.0%
Other values (206) 2180
51.2%
Common
ValueCountFrequency (%)
( 568
47.0%
) 567
46.9%
42
 
3.5%
_ 28
 
2.3%
2 2
 
0.2%
0 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
S 6
22.2%
N 6
22.2%
E 4
14.8%
F 3
11.1%
D 3
11.1%
R 3
11.1%
T 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4255
77.5%
ASCII 1236
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 587
 
13.8%
경 250
 
5.9%
업 244
 
5.7%
산 234
 
5.5%
환 230
 
5.4%
이 145
 
3.4%
대 112
 
2.6%
스 102
 
2.4%
자 88
 
2.1%
에 83
 
2.0%
Other values (206) 2180
51.2%
ASCII
ValueCountFrequency (%)
( 568
46.0%
) 567
45.9%
42
 
3.4%
_ 28
 
2.3%
S 6
 
0.5%
N 6
 
0.5%
E 4
 
0.3%
F 3
 
0.2%
D 3
 
0.2%
R 3
 
0.2%
Other values (4) 6
 
0.5%

처리업소명
Text

Distinct380
Distinct (%)46.7%
Missing2
Missing (%)0.2%
Memory size6.5 KiB
2023-12-13T04:52:54.801450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length29
Mean length7.6506765
Min length1

Characters and Unicode

Total characters6220
Distinct characters248
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)29.4%

Sample

1st row다물환경(주)
2nd row다물환경(주)
3rd row(주)가나에너지
4th row무진환경(주)
5th row무진환경(주)
ValueCountFrequency (%)
자연환경(주 28
 
3.5%
스카이산업(주 22
 
2.7%
대진환경산업(주 18
 
2.2%
주)다나에너지솔루션 16
 
2.0%
주)청풍산업 14
 
1.7%
마루이엔티(주 14
 
1.7%
한일시멘트(주 11
 
1.4%
주)동양환경 11
 
1.4%
주)케이에스자원개발 9
 
1.1%
성신양회(주 9
 
1.1%
Other values (373) 656
81.2%
2023-12-13T04:52:55.321773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 672
 
10.8%
( 634
 
10.2%
) 634
 
10.2%
이 240
 
3.9%
경 179
 
2.9%
환 170
 
2.7%
업 147
 
2.4%
산 136
 
2.2%
에 133
 
2.1%
스 95
 
1.5%
Other values (238) 3180
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4869
78.3%
Open Punctuation 634
 
10.2%
Close Punctuation 634
 
10.2%
Space Separator 32
 
0.5%
Connector Punctuation 26
 
0.4%
Uppercase Letter 23
 
0.4%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 672
 
13.8%
이 240
 
4.9%
경 179
 
3.7%
환 170
 
3.5%
업 147
 
3.0%
산 136
 
2.8%
에 133
 
2.7%
스 95
 
2.0%
지 83
 
1.7%
대 79
 
1.6%
Other values (227) 2935
60.3%
Uppercase Letter
ValueCountFrequency (%)
F 5
21.7%
R 5
21.7%
D 5
21.7%
P 4
17.4%
S 4
17.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 634
100.0%
Close Punctuation
ValueCountFrequency (%)
) 634
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4869
78.3%
Common 1328
 
21.4%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 672
 
13.8%
이 240
 
4.9%
경 179
 
3.7%
환 170
 
3.5%
업 147
 
3.0%
산 136
 
2.8%
에 133
 
2.7%
스 95
 
2.0%
지 83
 
1.7%
대 79
 
1.6%
Other values (227) 2935
60.3%
Common
ValueCountFrequency (%)
( 634
47.7%
) 634
47.7%
32
 
2.4%
_ 26
 
2.0%
2 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
F 5
21.7%
R 5
21.7%
D 5
21.7%
P 4
17.4%
S 4
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4869
78.3%
ASCII 1351
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 672
 
13.8%
이 240
 
4.9%
경 179
 
3.7%
환 170
 
3.5%
업 147
 
3.0%
산 136
 
2.8%
에 133
 
2.7%
스 95
 
2.0%
지 83
 
1.7%
대 79
 
1.6%
Other values (227) 2935
60.3%
ASCII
ValueCountFrequency (%)
( 634
46.9%
) 634
46.9%
32
 
2.4%
_ 26
 
1.9%
F 5
 
0.4%
R 5
 
0.4%
D 5
 
0.4%
P 4
 
0.3%
S 4
 
0.3%
2 1
 
0.1%

처리방법
Categorical

Distinct33
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
재활용(중간가공폐기물 제조)
167 
중간처분(일반소각)
92 
매립(민간관리형매립시설)
79 
재활용(파쇄.분쇄)
66 
재활용(농업생산활동에 사용)
61 
Other values (28)
350 

Length

Max length19
Median length17
Mean length12.06135
Min length1

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st row재활용(중간가공폐기물 제조)
2nd row재활용(중간가공폐기물 제조)
3rd row중간처분(일반소각)
4th row재활용(중간가공폐기물 제조)
5th row재활용(중간가공폐기물 제조)

Common Values

ValueCountFrequency (%)
재활용(중간가공폐기물 제조) 167
20.5%
중간처분(일반소각) 92
11.3%
매립(민간관리형매립시설) 79
9.7%
재활용(파쇄.분쇄) 66
 
8.1%
재활용(농업생산활동에 사용) 61
 
7.5%
중간처분(파쇄.분쇄) 58
 
7.1%
재활용(원료 제조) 56
 
6.9%
재활용(직접 제품제조) 51
 
6.3%
재활용(기타) 41
 
5.0%
재활용(성토재·복토재 등으로 사용) 25
 
3.1%
Other values (23) 119
14.6%

Length

2023-12-13T04:52:55.538429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 239
19.2%
재활용(중간가공폐기물 167
13.4%
사용 95
 
7.6%
중간처분(일반소각 92
 
7.4%
매립(민간관리형매립시설 79
 
6.4%
재활용(파쇄.분쇄 66
 
5.3%
재활용(직접 65
 
5.2%
재활용(농업생산활동에 61
 
4.9%
중간처분(파쇄.분쇄 58
 
4.7%
재활용(원료 56
 
4.5%
Other values (27) 264
21.3%

사업장도로명주소
Text

Distinct161
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-13T04:52:55.940912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length19.510429
Min length1

Characters and Unicode

Total characters15901
Distinct characters188
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

Unique61 ?
Unique (%)7.5%

Sample

1st row충청북도 제천시 금성면 청풍호로19길 153
2nd row충청북도 제천시 금성면 청풍호로19길 153
3rd row충청북도 제천시 금성면 청풍호로 1147
4th row충청북도 제천시 송학면 송학주천로 350
5th row충청북도 제천시 송학면 송학주천로 350
ValueCountFrequency (%)
충청북도 617
18.7%
제천시 614
18.6%
왕암동 211
 
6.4%
봉양읍 95
 
2.9%
송학면 88
 
2.7%
한방엑스포로 54
 
1.6%
강제동 37
 
1.1%
바이오밸리3로 37
 
1.1%
금성면 36
 
1.1%
바이오밸리1로 35
 
1.1%
Other values (297) 1482
44.8%
2023-12-13T04:52:56.561560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2855
 
18.0%
제 737
 
4.6%
천 728
 
4.6%
청 689
 
4.3%
북 644
 
4.1%
도 643
 
4.0%
시 640
 
4.0%
로 634
 
4.0%
충 619
 
3.9%
) 454
 
2.9%
Other values (178) 7258
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9898
62.2%
Space Separator 2855
 
18.0%
Decimal Number 2057
 
12.9%
Close Punctuation 454
 
2.9%
Open Punctuation 454
 
2.9%
Dash Punctuation 79
 
0.5%
Connector Punctuation 64
 
0.4%
Uppercase Letter 40
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 737
 
7.4%
천 728
 
7.4%
청 689
 
7.0%
북 644
 
6.5%
도 643
 
6.5%
시 640
 
6.5%
로 634
 
6.4%
충 619
 
6.3%
동 416
 
4.2%
암 258
 
2.6%
Other values (155) 3890
39.3%
Decimal Number
ValueCountFrequency (%)
1 433
21.1%
3 291
14.1%
2 223
10.8%
4 222
10.8%
0 195
9.5%
6 183
8.9%
9 141
 
6.9%
5 135
 
6.6%
8 117
 
5.7%
7 117
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
M 9
22.5%
A 6
15.0%
T 6
15.0%
R 5
12.5%
E 5
12.5%
G 4
10.0%
P 4
10.0%
I 1
 
2.5%
Space Separator
ValueCountFrequency (%)
2855
100.0%
Close Punctuation
ValueCountFrequency (%)
) 454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9898
62.2%
Common 5963
37.5%
Latin 40
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 737
 
7.4%
천 728
 
7.4%
청 689
 
7.0%
북 644
 
6.5%
도 643
 
6.5%
시 640
 
6.5%
로 634
 
6.4%
충 619
 
6.3%
동 416
 
4.2%
암 258
 
2.6%
Other values (155) 3890
39.3%
Common
ValueCountFrequency (%)
2855
47.9%
) 454
 
7.6%
( 454
 
7.6%
1 433
 
7.3%
3 291
 
4.9%
2 223
 
3.7%
4 222
 
3.7%
0 195
 
3.3%
6 183
 
3.1%
9 141
 
2.4%
Other values (5) 512
 
8.6%
Latin
ValueCountFrequency (%)
M 9
22.5%
A 6
15.0%
T 6
15.0%
R 5
12.5%
E 5
12.5%
G 4
10.0%
P 4
10.0%
I 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9898
62.2%
ASCII 6003
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2855
47.6%
) 454
 
7.6%
( 454
 
7.6%
1 433
 
7.2%
3 291
 
4.8%
2 223
 
3.7%
4 222
 
3.7%
0 195
 
3.2%
6 183
 
3.0%
9 141
 
2.3%
Other values (13) 552
 
9.2%
Hangul
ValueCountFrequency (%)
제 737
 
7.4%
천 728
 
7.4%
청 689
 
7.0%
북 644
 
6.5%
도 643
 
6.5%
시 640
 
6.5%
로 634
 
6.4%
충 619
 
6.3%
동 416
 
4.2%
암 258
 
2.6%
Other values (155) 3890
39.3%

사업장지번주소
Text

Distinct207
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-13T04:52:56.950986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length16
Min length1

Characters and Unicode

Total characters13040
Distinct characters186
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)12.9%

Sample

1st row충청북도 제천시 금성면 동막리 산 165-1
2nd row충청북도 제천시 금성면 동막리 산 165-1
3rd row충청북도 제천시 금성면 구룡리 25
4th row충청북도 제천시 송학면 포전리 351
5th row충청북도 제천시 송학면 포전리 351
ValueCountFrequency (%)
충청북도 610
21.4%
제천시 601
21.1%
왕암동 162
 
5.7%
송학면 85
 
3.0%
봉양읍 71
 
2.5%
고암동 52
 
1.8%
금성면 41
 
1.4%
입석리 41
 
1.4%
강제동 39
 
1.4%
289 34
 
1.2%
Other values (329) 1111
39.0%
2023-12-13T04:52:57.558538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3075
23.6%
제 677
 
5.2%
천 676
 
5.2%
도 660
 
5.1%
시 639
 
4.9%
청 636
 
4.9%
북 613
 
4.7%
충 613
 
4.7%
동 422
 
3.2%
1 412
 
3.2%
Other values (176) 4617
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7425
56.9%
Space Separator 3075
23.6%
Decimal Number 2179
 
16.7%
Dash Punctuation 279
 
2.1%
Uppercase Letter 62
 
0.5%
Close Punctuation 6
 
< 0.1%
Math Symbol 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 677
 
9.1%
천 676
 
9.1%
도 660
 
8.9%
시 639
 
8.6%
청 636
 
8.6%
북 613
 
8.3%
충 613
 
8.3%
동 422
 
5.7%
리 227
 
3.1%
암 216
 
2.9%
Other values (148) 2046
27.6%
Uppercase Letter
ValueCountFrequency (%)
D 14
22.6%
M 9
14.5%
B 7
11.3%
A 6
9.7%
T 6
9.7%
R 5
 
8.1%
E 5
 
8.1%
P 4
 
6.5%
G 4
 
6.5%
L 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 412
18.9%
2 288
13.2%
4 263
12.1%
3 235
10.8%
9 231
10.6%
5 204
9.4%
6 157
 
7.2%
7 135
 
6.2%
8 129
 
5.9%
0 125
 
5.7%
Space Separator
ValueCountFrequency (%)
3075
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7425
56.9%
Common 5553
42.6%
Latin 62
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 677
 
9.1%
천 676
 
9.1%
도 660
 
8.9%
시 639
 
8.6%
청 636
 
8.6%
북 613
 
8.3%
충 613
 
8.3%
동 422
 
5.7%
리 227
 
3.1%
암 216
 
2.9%
Other values (148) 2046
27.6%
Common
ValueCountFrequency (%)
3075
55.4%
1 412
 
7.4%
2 288
 
5.2%
- 279
 
5.0%
4 263
 
4.7%
3 235
 
4.2%
9 231
 
4.2%
5 204
 
3.7%
6 157
 
2.8%
7 135
 
2.4%
Other values (7) 274
 
4.9%
Latin
ValueCountFrequency (%)
D 14
22.6%
M 9
14.5%
B 7
11.3%
A 6
9.7%
T 6
9.7%
R 5
 
8.1%
E 5
 
8.1%
P 4
 
6.5%
G 4
 
6.5%
L 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7425
56.9%
ASCII 5615
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3075
54.8%
1 412
 
7.3%
2 288
 
5.1%
- 279
 
5.0%
4 263
 
4.7%
3 235
 
4.2%
9 231
 
4.1%
5 204
 
3.6%
6 157
 
2.8%
7 135
 
2.4%
Other values (18) 336
 
6.0%
Hangul
ValueCountFrequency (%)
제 677
 
9.1%
천 676
 
9.1%
도 660
 
8.9%
시 639
 
8.6%
청 636
 
8.6%
북 613
 
8.3%
충 613
 
8.3%
동 422
 
5.7%
리 227
 
3.1%
암 216
 
2.9%
Other values (148) 2046
27.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
Minimum2023-10-17 00:00:00
Maximum2023-10-17 00:00:00
2023-12-13T04:52:57.725582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:57.857903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T04:52:57.957575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물 종류처리방법
폐기물 종류1.0000.959
처리방법0.9591.000

Missing values

2023-12-13T04:52:51.187875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:52:51.322082image/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.
2023-12-13T04:52:51.411770image/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

상호사업자등록번호폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소데이터기준일
0제천광역친환경영농조합법인304-81-25203폐합성수지류(폐염화비닐수지류는 제외한다)다물환경(주)다물환경(주)재활용(중간가공폐기물 제조)충청북도 제천시 금성면 청풍호로19길 153충청북도 제천시 금성면 동막리 산 165-12023-10-17
1제천광역친환경영농조합법인304-81-25203폐합성수지류(폐염화비닐수지류는 제외한다)조영산업다물환경(주)재활용(중간가공폐기물 제조)충청북도 제천시 금성면 청풍호로19길 153충청북도 제천시 금성면 동막리 산 165-12023-10-17
2청풍호노인사랑병원304-82-06936그 밖의 폐섬유(주)바른환경(주)가나에너지중간처분(일반소각)충청북도 제천시 금성면 청풍호로 1147충청북도 제천시 금성면 구룡리 252023-10-17
3이환산업275-07-00791그 밖의 폐목재류무진환경(주)무진환경(주)재활용(중간가공폐기물 제조)충청북도 제천시 송학면 송학주천로 350충청북도 제천시 송학면 포전리 3512023-10-17
4이환산업275-07-00791폐합성수지류(폐염화비닐수지류는 제외한다)무진환경(주)무진환경(주)재활용(중간가공폐기물 제조)충청북도 제천시 송학면 송학주천로 350충청북도 제천시 송학면 포전리 3512023-10-17
5(주)지구인컴퍼니665-87-00827그 밖의 폐수처리오니부원환경(주)(주)모모재활용(농업생산활동에 사용)충청북도 제천시 제3산단2로 34 (왕암동)충청북도 제천시 왕암동 02023-10-17
6(주)지구인컴퍼니665-87-00827폐합성수지류(폐염화비닐수지류는 제외한다)부원환경(주)(주)케이에이치환경재활용(중간가공폐기물 제조)충청북도 제천시 제3산단2로 34 (왕암동)충청북도 제천시 왕암동 02023-10-17
7(주)지구인컴퍼니665-87-00827음식물류폐기물(주)성문환경(주)엠이천재활용(농업생산활동에 사용)충청북도 제천시 제3산단2로 34 (왕암동)충청북도 제천시 왕암동 02023-10-17
8(주)지구인컴퍼니665-87-00827폐식용유(식용을 목적으로 식품 재료와 원료를 제조ㆍ조리ㆍ가공하거나 식용유를 유통ㆍ사용 또는 음식물류 폐기물을 처리하는 과정에서 발생하는 기름을 말한다)신흥물산(주)신흥물산(주)재활용(농업생산활동에 사용)충청북도 제천시 제3산단2로 34 (왕암동)충청북도 제천시 왕암동 02023-10-17
9(주)지구인컴퍼니665-87-00827그 밖의 분진부원환경(주)(주)에코비트그린청주매립(민간관리형매립시설)충청북도 제천시 제3산단2로 34 (왕암동)충청북도 제천시 왕암동 02023-10-17
상호사업자등록번호폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소데이터기준일
805대림비앤코주식회사304-85-02552폐합성수지류(폐염화비닐수지류는 제외한다)한세이프(주)한세이프(주)중간처분(일반소각)충청북도 제천시 봉양읍 제원로 80-502023-10-17
806대림비앤코주식회사304-85-02552폐도자기조각(주)동서물류건기현대시멘트(주)단양공장재활용(직접 제품제조)충청북도 제천시 봉양읍 제원로 80-502023-10-17
807대림비앤코주식회사304-85-02552폐도자기조각(주)도호네트웍스(주)대한소재재활용(원료 제조)충청북도 제천시 봉양읍 제원로 80-502023-10-17
808대림비앤코주식회사304-85-02552폐수처리오니(주)동서물류건기한일세라믹재활용(직접 제품제조)충청북도 제천시 봉양읍 제원로 80-502023-10-17
809대림비앤코주식회사304-85-02552폐수처리오니자가매립(관리형매립시설)충청북도 제천시 봉양읍 제원로 80-502023-10-17
810대림비앤코주식회사304-85-02552그 밖의 폐목재류스카이산업스카이산업재활용(중간가공폐기물 제조)충청북도 제천시 봉양읍 제원로 80-502023-10-17
811대림비앤코주식회사304-85-02552폐내화물(주)도효네트웍스(주)대한소재재활용(원료 제조)충청북도 제천시 봉양읍 제원로 80-502023-10-17
812대림비앤코주식회사304-85-02552폐도자기조각(주)삼원로지스(주)하이콘코리아재활용(성토재·복토재 등으로 사용)충청북도 제천시 봉양읍 제원로 80-502023-10-17
813대림비앤코주식회사304-85-02552폐도자기조각(주)삼원로지스(주)하이콘코리아재활용(중간가공폐기물 제조)충청북도 제천시 봉양읍 제원로 80-502023-10-17
814대림비앤코주식회사304-85-02552폐도자기조각(주)동서물류건기(주)영진내화중간처분(파쇄.분쇄)충청북도 제천시 봉양읍 제원로 80-502023-10-17

Duplicate rows

Most frequently occurring

상호사업자등록번호폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소데이터기준일# duplicates
8우진산업개발(주)315-81-34191폐합성수지류(폐염화비닐수지류는 제외한다)영재환경산업(주)(주)영재중간처분(파쇄.분쇄)충청북도 제천시 봉양읍 주포로 60충청북도 제천시 봉양읍 주포리 249-182023-10-174
0(주)홈마트 신백점304-85-04695기타(합)환경미화사제천시차단형매립충청북도 제천시 신백동 184-62023-10-173
1동양산업304-07-54483사업장폐기물성신양회(주)재활용(기타)충청북도 제천시 봉양읍 봉양리 711-12023-10-173
2성대산업(주)304-81-10210폐수처리오니일경산업성신양회재활용(기타)충청북도 제천시 고암동 145-42023-10-172
3세명대학교304-82-02468폐가구류_ 폐도장목_ 폐목재포장재_ 폐전선드럼(원목상태의 깨끗한 목재를 말한다)대영산업마루이엔티(주)중간처분(파쇄.분쇄)충청북도 제천시 세명로 65 (신월동)충청북도 제천시 신월동 5792023-10-172
4세명대학교304-82-02468폐합성수지류(폐염화비닐수지류는 제외한다)주식회사케이티씨주식회사청풍산업재활용(중간가공폐기물 제조)충청북도 제천시 세명로 65 (신월동)충청북도 제천시 신월동 5792023-10-172
5아세아시멘트(주)304-85-00286생활폐기물자가처리(중간)중간처분(고온소각)충청북도 제천시 송학면 입석리 2892023-10-172
6아세아시멘트(주)304-85-00286정수처리오니(무기성)자가(재활용)재활용(기타)충청북도 제천시 송학면 입석리 2892023-10-172
7아세아시멘트(주)304-85-00286폐합성수지한국환경공사재활용(기타)충청북도 제천시 송학면 입석리 2892023-10-172
9중앙레미콘(주)304-81-28160폐콘크리트(주)제천환경개발(주)제천환경개발중간처분(파쇄.분쇄)충청북도 제천시 금성면 청풍호로19길 161충청북도 제천시 금성면 양화리 455-42023-10-172