Overview

Dataset statistics

Number of variables13
Number of observations184
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory107.7 B

Variable types

Text5
DateTime1
Categorical4
Numeric3

Dataset

Description사업장 폐기물 배출자 신고 현황(상호,신고일,공사명,폐기물종류,배출량,처리방법등의 현황을 등록합니다.)
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=6&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15060142

Alerts

데이터기준일 has constant value ""Constant
폐기물위탁처리방법 is highly overall correlated with 폐기물 종류 and 1 other fieldsHigh correlation
처리방법 is highly overall correlated with 폐기물 종류 and 1 other fieldsHigh correlation
배출량(톤) is highly overall correlated with 운반량(톤) and 1 other fieldsHigh correlation
운반량(톤) is highly overall correlated with 배출량(톤) and 1 other fieldsHigh correlation
연간처리량(톤) is highly overall correlated with 배출량(톤) and 1 other fieldsHigh correlation
폐기물 종류 is highly overall correlated with 처리방법 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-03-14 03:04:35.082765
Analysis finished2024-03-14 03:04:37.230916
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct83
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T12:04:37.397120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length9.1576087
Min length4

Characters and Unicode

Total characters1685
Distinct characters153
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)27.2%

Sample

1st row주식회사 바른산업개발
2nd row유한회사 제이엠종합건설
3rd row한국농어촌공사 전주완주임실지사
4th row유한회사 백수정건설
5th row봉동읍사무소
ValueCountFrequency (%)
유한회사 23
 
9.7%
백수정건설 17
 
7.2%
전주시청(자원순환과 14
 
5.9%
주식회사 14
 
5.9%
완주군청(환경과 9
 
3.8%
한국농어촌공사 9
 
3.8%
전주완주임실지사 9
 
3.8%
완주군청(재난안전과 8
 
3.4%
화산면사무소 5
 
2.1%
완주군청(자원순환과 5
 
2.1%
Other values (79) 124
52.3%
2024-03-14T12:04:37.727604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 113
 
6.7%
사 102
 
6.1%
) 84
 
5.0%
( 84
 
5.0%
53
 
3.1%
건 49
 
2.9%
과 47
 
2.8%
청 46
 
2.7%
설 45
 
2.7%
전 45
 
2.7%
Other values (143) 1017
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1464
86.9%
Close Punctuation 84
 
5.0%
Open Punctuation 84
 
5.0%
Space Separator 53
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 113
 
7.7%
사 102
 
7.0%
건 49
 
3.3%
과 47
 
3.2%
청 46
 
3.1%
설 45
 
3.1%
전 45
 
3.1%
소 43
 
2.9%
한 41
 
2.8%
완 41
 
2.8%
Other values (140) 892
60.9%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1464
86.9%
Common 221
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 113
 
7.7%
사 102
 
7.0%
건 49
 
3.3%
과 47
 
3.2%
청 46
 
3.1%
설 45
 
3.1%
전 45
 
3.1%
소 43
 
2.9%
한 41
 
2.8%
완 41
 
2.8%
Other values (140) 892
60.9%
Common
ValueCountFrequency (%)
) 84
38.0%
( 84
38.0%
53
24.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1464
86.9%
ASCII 221
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 113
 
7.7%
사 102
 
7.0%
건 49
 
3.3%
과 47
 
3.2%
청 46
 
3.1%
설 45
 
3.1%
전 45
 
3.1%
소 43
 
2.9%
한 41
 
2.8%
완 41
 
2.8%
Other values (140) 892
60.9%
ASCII
ValueCountFrequency (%)
) 84
38.0%
( 84
38.0%
53
24.0%

신고
Date

Distinct103
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2021-06-03 00:00:00
Maximum2023-05-19 00:00:00
2024-03-14T12:04:37.838440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:37.996017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사명
Text

Distinct159
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T12:04:38.264418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34.5
Mean length22.543478
Min length8

Characters and Unicode

Total characters4148
Distinct characters271
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)74.5%

Sample

1st row삼례초 포장 및 기타공사
2nd row완주 화물공영차고지 가감속차로 확장공사
3rd row2023년 율소용수지선 및 경천저수지 폐기물처리용역
4th row완주산단 우수관로 준설공사
5th row무단방치 폐기물 수거처리용역
ValueCountFrequency (%)
폐기물처리용역 27
 
3.7%
2022년 26
 
3.6%
2023년 21
 
2.9%
및 19
 
2.6%
적환장 14
 
1.9%
처리용역 14
 
1.9%
준설공사 14
 
1.9%
위탁처리용역 11
 
1.5%
하천하구 9
 
1.2%
가연성폐기물처리용역 8
 
1.1%
Other values (327) 558
77.4%
2024-03-14T12:04:38.621422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
537
 
12.9%
2 174
 
4.2%
기 134
 
3.2%
리 123
 
3.0%
폐 122
 
2.9%
용 117
 
2.8%
처 112
 
2.7%
사 108
 
2.6%
물 107
 
2.6%
역 106
 
2.6%
Other values (261) 2508
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3125
75.3%
Space Separator 537
 
12.9%
Decimal Number 297
 
7.2%
Open Punctuation 65
 
1.6%
Close Punctuation 65
 
1.6%
Uppercase Letter 28
 
0.7%
Connector Punctuation 15
 
0.4%
Other Punctuation 7
 
0.2%
Dash Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 134
 
4.3%
리 123
 
3.9%
폐 122
 
3.9%
용 117
 
3.7%
처 112
 
3.6%
사 108
 
3.5%
물 107
 
3.4%
역 106
 
3.4%
공 78
 
2.5%
수 64
 
2.0%
Other values (233) 2054
65.7%
Uppercase Letter
ValueCountFrequency (%)
L 5
17.9%
T 3
10.7%
A 3
10.7%
N 3
10.7%
G 2
 
7.1%
E 2
 
7.1%
B 2
 
7.1%
C 2
 
7.1%
I 2
 
7.1%
V 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 174
58.6%
0 61
 
20.5%
3 35
 
11.8%
1 16
 
5.4%
5 7
 
2.4%
4 3
 
1.0%
6 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
/ 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
537
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3125
75.3%
Common 993
 
23.9%
Latin 30
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 134
 
4.3%
리 123
 
3.9%
폐 122
 
3.9%
용 117
 
3.7%
처 112
 
3.6%
사 108
 
3.5%
물 107
 
3.4%
역 106
 
3.4%
공 78
 
2.5%
수 64
 
2.0%
Other values (233) 2054
65.7%
Common
ValueCountFrequency (%)
537
54.1%
2 174
 
17.5%
( 65
 
6.5%
) 65
 
6.5%
0 61
 
6.1%
3 35
 
3.5%
1 16
 
1.6%
_ 15
 
1.5%
5 7
 
0.7%
. 6
 
0.6%
Other values (5) 12
 
1.2%
Latin
ValueCountFrequency (%)
L 5
16.7%
T 3
10.0%
A 3
10.0%
N 3
10.0%
G 2
 
6.7%
E 2
 
6.7%
B 2
 
6.7%
C 2
 
6.7%
I 2
 
6.7%
V 2
 
6.7%
Other values (3) 4
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3125
75.3%
ASCII 1023
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
537
52.5%
2 174
 
17.0%
( 65
 
6.4%
) 65
 
6.4%
0 61
 
6.0%
3 35
 
3.4%
1 16
 
1.6%
_ 15
 
1.5%
5 7
 
0.7%
. 6
 
0.6%
Other values (18) 42
 
4.1%
Hangul
ValueCountFrequency (%)
기 134
 
4.3%
리 123
 
3.9%
폐 122
 
3.9%
용 117
 
3.7%
처 112
 
3.6%
사 108
 
3.5%
물 107
 
3.4%
역 106
 
3.4%
공 78
 
2.5%
수 64
 
2.0%
Other values (233) 2054
65.7%

폐기물 종류
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐합성수지류(폐염화비닐수지류는 제외한다)
72 
임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)
33 
그 밖의 폐기물
22 
하수준설토
20 
그 밖의 폐목재류
12 
Other values (12)
25 

Length

Max length54
Median length49
Mean length22.63587
Min length3

Unique

Unique7 ?
Unique (%)3.8%

Sample

1st row임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)
2nd row임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)
3rd row폐합성수지류(폐염화비닐수지류는 제외한다)
4th row하수준설토
5th row폐합성수지류(폐염화비닐수지류는 제외한다)

Common Values

ValueCountFrequency (%)
폐합성수지류(폐염화비닐수지류는 제외한다) 72
39.1%
임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다) 33
17.9%
그 밖의 폐기물 22
 
12.0%
하수준설토 20
 
10.9%
그 밖의 폐목재류 12
 
6.5%
건축현장 폐목재(원목상태의 깨끗한 목재를 말한다) 8
 
4.3%
그 밖의 식물성잔재물 3
 
1.6%
폐합성고무류 3
 
1.6%
폐전주(폐애자_ 폐근가 및 폐합성수지제 커버류 등을 포함한다) 2
 
1.1%
그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다) 2
 
1.1%
Other values (7) 7
 
3.8%

Length

2024-03-14T12:04:38.731303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폐합성수지류(폐염화비닐수지류는 72
 
10.2%
제외한다 72
 
10.2%
말한다 44
 
6.2%
그 40
 
5.7%
밖의 40
 
5.7%
등을 35
 
5.0%
등의 34
 
4.8%
과정에서 33
 
4.7%
발생된 33
 
4.7%
나무뿌리 33
 
4.7%
Other values (45) 271
38.3%

배출량(톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.81724
Minimum1
Maximum6000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T12:04:38.825924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3305
Q113.95
median24.3
Q373.5
95-th percentile963.1
Maximum6000
Range5999
Interquartile range (IQR)59.55

Descriptive statistics

Standard deviation550.85286
Coefficient of variation (CV)3.2437981
Kurtosis70.397123
Mean169.81724
Median Absolute Deviation (MAD)15.7
Skewness7.4145062
Sum31246.373
Variance303438.87
MonotonicityNot monotonic
2024-03-14T12:04:38.934670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 16
 
8.7%
50.0 8
 
4.3%
100.0 8
 
4.3%
30.0 8
 
4.3%
13.0 7
 
3.8%
10.0 6
 
3.3%
7.0 6
 
3.3%
40.0 5
 
2.7%
14.0 5
 
2.7%
12.0 5
 
2.7%
Other values (94) 110
59.8%
ValueCountFrequency (%)
1.0 1
0.5%
1.5 1
0.5%
2.0 1
0.5%
4.0 1
0.5%
4.9 1
0.5%
5.0 1
0.5%
5.413 1
0.5%
6.0 1
0.5%
6.1 1
0.5%
6.26 1
0.5%
ValueCountFrequency (%)
6000.0 1
0.5%
2000.0 1
0.5%
1980.0 2
1.1%
1500.0 1
0.5%
1407.06 1
0.5%
1200.0 2
1.1%
1170.0 1
0.5%
1000.0 1
0.5%
754.0 1
0.5%
660.0 1
0.5%

운반자
Text

Distinct63
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T12:04:39.140546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.1358696
Min length4

Characters and Unicode

Total characters1497
Distinct characters121
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

Unique35 ?
Unique (%)19.0%

Sample

1st row(유)해머
2nd row하나산업
3rd row(유)대신신재생산업
4th row유한회사 백수정건설
5th row(유)서광환경
ValueCountFrequency (%)
유)서광환경 26
 
12.6%
유한회사 21
 
10.1%
백수정건설 16
 
7.7%
유)계룡환경산업 15
 
7.2%
유)해머 15
 
7.2%
케이씨환경서비스(주)전주사업부 10
 
4.8%
산내환경자원 6
 
2.9%
유)대신신재생산업 6
 
2.9%
유)참조은조합환경 6
 
2.9%
현진알씨(r/c 4
 
1.9%
Other values (55) 82
39.6%
2024-03-14T12:04:39.489505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 136
 
9.1%
) 136
 
9.1%
유 116
 
7.7%
경 89
 
5.9%
환 88
 
5.9%
업 57
 
3.8%
산 55
 
3.7%
주 52
 
3.5%
사 37
 
2.5%
이 37
 
2.5%
Other values (111) 694
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1184
79.1%
Open Punctuation 136
 
9.1%
Close Punctuation 136
 
9.1%
Space Separator 23
 
1.5%
Uppercase Letter 12
 
0.8%
Other Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 116
 
9.8%
경 89
 
7.5%
환 88
 
7.4%
업 57
 
4.8%
산 55
 
4.6%
주 52
 
4.4%
사 37
 
3.1%
이 37
 
3.1%
서 36
 
3.0%
광 33
 
2.8%
Other values (105) 584
49.3%
Uppercase Letter
ValueCountFrequency (%)
C 6
50.0%
R 6
50.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1184
79.1%
Common 301
 
20.1%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 116
 
9.8%
경 89
 
7.5%
환 88
 
7.4%
업 57
 
4.8%
산 55
 
4.6%
주 52
 
4.4%
사 37
 
3.1%
이 37
 
3.1%
서 36
 
3.0%
광 33
 
2.8%
Other values (105) 584
49.3%
Common
ValueCountFrequency (%)
( 136
45.2%
) 136
45.2%
23
 
7.6%
/ 6
 
2.0%
Latin
ValueCountFrequency (%)
C 6
50.0%
R 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1184
79.1%
ASCII 313
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 136
43.5%
) 136
43.5%
23
 
7.3%
C 6
 
1.9%
/ 6
 
1.9%
R 6
 
1.9%
Hangul
ValueCountFrequency (%)
유 116
 
9.8%
경 89
 
7.5%
환 88
 
7.4%
업 57
 
4.8%
산 55
 
4.6%
주 52
 
4.4%
사 37
 
3.1%
이 37
 
3.1%
서 36
 
3.0%
광 33
 
2.8%
Other values (105) 584
49.3%

운반량(톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.81724
Minimum1
Maximum6000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T12:04:39.618191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3305
Q113.95
median24.3
Q373.5
95-th percentile963.1
Maximum6000
Range5999
Interquartile range (IQR)59.55

Descriptive statistics

Standard deviation550.85286
Coefficient of variation (CV)3.2437981
Kurtosis70.397123
Mean169.81724
Median Absolute Deviation (MAD)15.7
Skewness7.4145062
Sum31246.373
Variance303438.87
MonotonicityNot monotonic
2024-03-14T12:04:39.725458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 16
 
8.7%
50.0 8
 
4.3%
100.0 8
 
4.3%
30.0 8
 
4.3%
13.0 7
 
3.8%
10.0 6
 
3.3%
7.0 6
 
3.3%
40.0 5
 
2.7%
14.0 5
 
2.7%
12.0 5
 
2.7%
Other values (94) 110
59.8%
ValueCountFrequency (%)
1.0 1
0.5%
1.5 1
0.5%
2.0 1
0.5%
4.0 1
0.5%
4.9 1
0.5%
5.0 1
0.5%
5.413 1
0.5%
6.0 1
0.5%
6.1 1
0.5%
6.26 1
0.5%
ValueCountFrequency (%)
6000.0 1
0.5%
2000.0 1
0.5%
1980.0 2
1.1%
1500.0 1
0.5%
1407.06 1
0.5%
1200.0 2
1.1%
1170.0 1
0.5%
1000.0 1
0.5%
754.0 1
0.5%
660.0 1
0.5%

처리업소명
Text

Distinct52
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T12:04:39.924336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.8423913
Min length2

Characters and Unicode

Total characters1627
Distinct characters101
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

Unique29 ?
Unique (%)15.8%

Sample

1st row(유)해머
2nd row(유)해머
3rd row(유)대신신재생산업
4th row(유)천만금
5th row(유)현진알씨(R/C)
ValueCountFrequency (%)
유)현진알씨(r/c 23
 
11.9%
유)해머 21
 
10.9%
유)천만금 20
 
10.4%
주)이엠케이승경 18
 
9.3%
케이씨환경서비스(주)전주사업부 13
 
6.7%
유)계룡환경산업 11
 
5.7%
주)한결그린 7
 
3.6%
유한회사 7
 
3.6%
유)대신신재생산업 5
 
2.6%
유)태광산업 4
 
2.1%
Other values (45) 64
33.2%
2024-03-14T12:04:40.335861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 196
 
12.0%
) 196
 
12.0%
유 106
 
6.5%
주 87
 
5.3%
이 70
 
4.3%
경 52
 
3.2%
업 46
 
2.8%
씨 42
 
2.6%
환 34
 
2.1%
케 33
 
2.0%
Other values (91) 765
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1142
70.2%
Open Punctuation 196
 
12.0%
Close Punctuation 196
 
12.0%
Uppercase Letter 56
 
3.4%
Other Punctuation 28
 
1.7%
Space Separator 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 106
 
9.3%
주 87
 
7.6%
이 70
 
6.1%
경 52
 
4.6%
업 46
 
4.0%
씨 42
 
3.7%
환 34
 
3.0%
케 33
 
2.9%
산 30
 
2.6%
알 30
 
2.6%
Other values (85) 612
53.6%
Uppercase Letter
ValueCountFrequency (%)
R 28
50.0%
C 28
50.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 28
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1142
70.2%
Common 429
 
26.4%
Latin 56
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 106
 
9.3%
주 87
 
7.6%
이 70
 
6.1%
경 52
 
4.6%
업 46
 
4.0%
씨 42
 
3.7%
환 34
 
3.0%
케 33
 
2.9%
산 30
 
2.6%
알 30
 
2.6%
Other values (85) 612
53.6%
Common
ValueCountFrequency (%)
( 196
45.7%
) 196
45.7%
/ 28
 
6.5%
9
 
2.1%
Latin
ValueCountFrequency (%)
R 28
50.0%
C 28
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1142
70.2%
ASCII 485
29.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 196
40.4%
) 196
40.4%
/ 28
 
5.8%
R 28
 
5.8%
C 28
 
5.8%
9
 
1.9%
Hangul
ValueCountFrequency (%)
유 106
 
9.3%
주 87
 
7.6%
이 70
 
6.1%
경 52
 
4.6%
업 46
 
4.0%
씨 42
 
3.7%
환 34
 
3.0%
케 33
 
2.9%
산 30
 
2.6%
알 30
 
2.6%
Other values (85) 612
53.6%

처리방법
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
재활용(중간가공폐기물 제조)
94 
중간처분(일반소각)
36 
재활용(연료·고형연료제품 제조)
35 
재활용(원료 제조)
10 
재활용(직접 제품제조)
 
5
Other values (3)
 
4

Length

Max length17
Median length15
Mean length14.016304
Min length10

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
재활용(중간가공폐기물 제조) 94
51.1%
중간처분(일반소각) 36
 
19.6%
재활용(연료·고형연료제품 제조) 35
 
19.0%
재활용(원료 제조) 10
 
5.4%
재활용(직접 제품제조) 5
 
2.7%
재활용(토질개선에 사용) 2
 
1.1%
매립(민간관리형매립시설) 1
 
0.5%
재활용(농업생산활동에 사용) 1
 
0.5%

Length

2024-03-14T12:04:40.461247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:04:40.561384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 139
42.0%
재활용(중간가공폐기물 94
28.4%
중간처분(일반소각 36
 
10.9%
재활용(연료·고형연료제품 35
 
10.6%
재활용(원료 10
 
3.0%
재활용(직접 5
 
1.5%
제품제조 5
 
1.5%
사용 3
 
0.9%
재활용(토질개선에 2
 
0.6%
매립(민간관리형매립시설 1
 
0.3%

연간처리량(톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.81724
Minimum1
Maximum6000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T12:04:40.697882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3305
Q113.95
median24.3
Q373.5
95-th percentile963.1
Maximum6000
Range5999
Interquartile range (IQR)59.55

Descriptive statistics

Standard deviation550.85286
Coefficient of variation (CV)3.2437981
Kurtosis70.397123
Mean169.81724
Median Absolute Deviation (MAD)15.7
Skewness7.4145062
Sum31246.373
Variance303438.87
MonotonicityNot monotonic
2024-03-14T12:04:40.821022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 16
 
8.7%
50.0 8
 
4.3%
100.0 8
 
4.3%
30.0 8
 
4.3%
13.0 7
 
3.8%
10.0 6
 
3.3%
7.0 6
 
3.3%
40.0 5
 
2.7%
14.0 5
 
2.7%
12.0 5
 
2.7%
Other values (94) 110
59.8%
ValueCountFrequency (%)
1.0 1
0.5%
1.5 1
0.5%
2.0 1
0.5%
4.0 1
0.5%
4.9 1
0.5%
5.0 1
0.5%
5.413 1
0.5%
6.0 1
0.5%
6.1 1
0.5%
6.26 1
0.5%
ValueCountFrequency (%)
6000.0 1
0.5%
2000.0 1
0.5%
1980.0 2
1.1%
1500.0 1
0.5%
1407.06 1
0.5%
1200.0 2
1.1%
1170.0 1
0.5%
1000.0 1
0.5%
754.0 1
0.5%
660.0 1
0.5%

폐기물위탁처리방법
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
재활용(중간가공폐기물 제조)
94 
중간처분(일반소각)
36 
재활용(연료·고형연료제품 제조)
35 
재활용(원료 제조)
10 
재활용(직접 제품제조)
 
5
Other values (3)
 
4

Length

Max length17
Median length15
Mean length14.016304
Min length10

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
재활용(중간가공폐기물 제조) 94
51.1%
중간처분(일반소각) 36
 
19.6%
재활용(연료·고형연료제품 제조) 35
 
19.0%
재활용(원료 제조) 10
 
5.4%
재활용(직접 제품제조) 5
 
2.7%
재활용(토질개선에 사용) 2
 
1.1%
매립(민간관리형매립시설) 1
 
0.5%
재활용(농업생산활동에 사용) 1
 
0.5%

Length

2024-03-14T12:04:40.926058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:04:41.019353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 139
42.0%
재활용(중간가공폐기물 94
28.4%
중간처분(일반소각 36
 
10.9%
재활용(연료·고형연료제품 35
 
10.6%
재활용(원료 10
 
3.0%
재활용(직접 5
 
1.5%
제품제조 5
 
1.5%
사용 3
 
0.9%
재활용(토질개선에 2
 
0.6%
매립(민간관리형매립시설 1
 
0.3%

현장위치
Text

Distinct126
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-14T12:04:41.218923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length18.201087
Min length6

Characters and Unicode

Total characters3349
Distinct characters162
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)50.5%

Sample

1st row완주군 삼례읍 후정로 30
2nd row완주군 봉동읍 제내리 777-2 일원
3rd row완주군 화산면 성북리 일원
4th row완주군 봉동읍 용암리 765
5th row완주군 봉동읍 일원
ValueCountFrequency (%)
완주군 183
22.6%
일원 82
 
10.1%
이서면 33
 
4.1%
전라북도 28
 
3.5%
봉동읍 25
 
3.1%
삼례읍 19
 
2.3%
소양면 17
 
2.1%
비봉면 15
 
1.9%
1363-181 13
 
1.6%
선비로 13
 
1.6%
Other values (198) 382
47.2%
2024-03-14T12:04:41.538552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
626
 
18.7%
주 206
 
6.2%
완 189
 
5.6%
군 184
 
5.5%
면 130
 
3.9%
1 111
 
3.3%
원 94
 
2.8%
일 84
 
2.5%
리 73
 
2.2%
- 69
 
2.1%
Other values (152) 1583
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2141
63.9%
Space Separator 626
 
18.7%
Decimal Number 487
 
14.5%
Dash Punctuation 69
 
2.1%
Connector Punctuation 14
 
0.4%
Math Symbol 8
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 206
 
9.6%
완 189
 
8.8%
군 184
 
8.6%
면 130
 
6.1%
원 94
 
4.4%
일 84
 
3.9%
리 73
 
3.4%
산 65
 
3.0%
로 62
 
2.9%
봉 54
 
2.5%
Other values (136) 1000
46.7%
Decimal Number
ValueCountFrequency (%)
1 111
22.8%
3 69
14.2%
5 50
10.3%
2 48
9.9%
8 46
9.4%
6 45
9.2%
4 38
 
7.8%
7 33
 
6.8%
9 26
 
5.3%
0 21
 
4.3%
Space Separator
ValueCountFrequency (%)
626
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2141
63.9%
Common 1208
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 206
 
9.6%
완 189
 
8.8%
군 184
 
8.6%
면 130
 
6.1%
원 94
 
4.4%
일 84
 
3.9%
리 73
 
3.4%
산 65
 
3.0%
로 62
 
2.9%
봉 54
 
2.5%
Other values (136) 1000
46.7%
Common
ValueCountFrequency (%)
626
51.8%
1 111
 
9.2%
- 69
 
5.7%
3 69
 
5.7%
5 50
 
4.1%
2 48
 
4.0%
8 46
 
3.8%
6 45
 
3.7%
4 38
 
3.1%
7 33
 
2.7%
Other values (6) 73
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2141
63.9%
ASCII 1208
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
626
51.8%
1 111
 
9.2%
- 69
 
5.7%
3 69
 
5.7%
5 50
 
4.1%
2 48
 
4.0%
8 46
 
3.8%
6 45
 
3.7%
4 38
 
3.1%
7 33
 
2.7%
Other values (6) 73
 
6.0%
Hangul
ValueCountFrequency (%)
주 206
 
9.6%
완 189
 
8.8%
군 184
 
8.6%
면 130
 
6.1%
원 94
 
4.4%
일 84
 
3.9%
리 73
 
3.4%
산 65
 
3.0%
로 62
 
2.9%
봉 54
 
2.5%
Other values (136) 1000
46.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-05-23
184 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-23
2nd row2023-05-23
3rd row2023-05-23
4th row2023-05-23
5th row2023-05-23

Common Values

ValueCountFrequency (%)
2023-05-23 184
100.0%

Length

2024-03-14T12:04:41.642637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:04:41.739196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-23 184
100.0%

Interactions

2024-03-14T12:04:36.780915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.121833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.342959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.848687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.197038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.407817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.915350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.269457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:04:36.714297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:04:41.793099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호폐기물 종류배출량(톤)운반자운반량(톤)처리업소명처리방법연간처리량(톤)폐기물위탁처리방법
상호1.0000.8250.0000.9730.0000.9760.9640.0000.964
폐기물 종류0.8251.0000.0000.9830.0000.9840.9300.0000.930
배출량(톤)0.0000.0001.0000.9001.0000.8560.0001.0000.000
운반자0.9730.9830.9001.0000.9000.9970.9380.9000.938
운반량(톤)0.0000.0001.0000.9001.0000.8560.0001.0000.000
처리업소명0.9760.9840.8560.9970.8561.0000.9970.8560.997
처리방법0.9640.9300.0000.9380.0000.9971.0000.0001.000
연간처리량(톤)0.0000.0001.0000.9001.0000.8560.0001.0000.000
폐기물위탁처리방법0.9640.9300.0000.9380.0000.9971.0000.0001.000
2024-03-14T12:04:41.903340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물위탁처리방법폐기물 종류처리방법
폐기물위탁처리방법1.0000.7221.000
폐기물 종류0.7221.0000.722
처리방법1.0000.7221.000
2024-03-14T12:04:42.198815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출량(톤)운반량(톤)연간처리량(톤)폐기물 종류처리방법폐기물위탁처리방법
배출량(톤)1.0001.0001.0000.0000.0000.000
운반량(톤)1.0001.0001.0000.0000.0000.000
연간처리량(톤)1.0001.0001.0000.0000.0000.000
폐기물 종류0.0000.0000.0001.0000.7220.722
처리방법0.0000.0000.0000.7221.0001.000
폐기물위탁처리방법0.0000.0000.0000.7221.0001.000

Missing values

2024-03-14T12:04:37.035721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:04:37.173740image/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

상호신고공사명폐기물 종류배출량(톤)운반자운반량(톤)처리업소명처리방법연간처리량(톤)폐기물위탁처리방법현장위치데이터기준일
0주식회사 바른산업개발2023-05-19삼례초 포장 및 기타공사임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)67.0(유)해머67.0(유)해머재활용(연료·고형연료제품 제조)67.0재활용(연료·고형연료제품 제조)완주군 삼례읍 후정로 302023-05-23
1유한회사 제이엠종합건설2023-05-04완주 화물공영차고지 가감속차로 확장공사임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)23.0하나산업23.0(유)해머재활용(연료·고형연료제품 제조)23.0재활용(연료·고형연료제품 제조)완주군 봉동읍 제내리 777-2 일원2023-05-23
2한국농어촌공사 전주완주임실지사2023-05-042023년 율소용수지선 및 경천저수지 폐기물처리용역폐합성수지류(폐염화비닐수지류는 제외한다)15.0(유)대신신재생산업15.0(유)대신신재생산업재활용(중간가공폐기물 제조)15.0재활용(중간가공폐기물 제조)완주군 화산면 성북리 일원2023-05-23
3유한회사 백수정건설2023-05-02완주산단 우수관로 준설공사하수준설토12.0유한회사 백수정건설12.0(유)천만금재활용(중간가공폐기물 제조)12.0재활용(중간가공폐기물 제조)완주군 봉동읍 용암리 7652023-05-23
4봉동읍사무소2023-05-02무단방치 폐기물 수거처리용역폐합성수지류(폐염화비닐수지류는 제외한다)22.0(유)서광환경22.0(유)현진알씨(R/C)재활용(중간가공폐기물 제조)22.0재활용(중간가공폐기물 제조)완주군 봉동읍 일원2023-05-23
5주식회사 길건설2023-05-022023년 대아수목원 숲문화마루 기획전시실 조성사업그 밖의 폐목재류7.0나눔환경7.0(주)에스에스에너지재활용(중간가공폐기물 제조)7.0재활용(중간가공폐기물 제조)완주군 동상면 대아리 산1-22023-05-23
6주식회사 길건설2023-05-022023년 대아수목원 숲문화마루 기획전시실 조성사업폐합성수지류(폐염화비닐수지류는 제외한다)1.0나눔환경1.0(주)에스에스에너지재활용(중간가공폐기물 제조)1.0재활용(중간가공폐기물 제조)완주군 동상면 대아리 산1-22023-05-23
7소양면사무소2023-04-272023년 적환장 적치쓰레기 처리용역그 밖의 폐기물31.1(유)서광환경31.1(주)이엠케이승경중간처분(일반소각)31.1중간처분(일반소각)전라북도 완주군 소양면 일원2023-05-23
8(유)현진토건2023-04-192023년 완주군 공공하수도 준설공사하수준설토33.0(유)건우건설33.0(유)천만금재활용(중간가공폐기물 제조)33.0재활용(중간가공폐기물 제조)완주군 일원2023-05-23
9(유)현진토건2023-04-192023년 완주군 공공하수도 준설공사하수준설토30.0(유)현진토건30.0(유)천만금재활용(중간가공폐기물 제조)30.0재활용(중간가공폐기물 제조)완주군 일원2023-05-23
상호신고공사명폐기물 종류배출량(톤)운반자운반량(톤)처리업소명처리방법연간처리량(톤)폐기물위탁처리방법현장위치데이터기준일
174고산면사무소2021-06-292021년 하천하구 폐기물처리용역그 밖의 폐기물20.0케이씨환경서비스(주)전주사업부20.0케이씨환경서비스(주)전주사업부중간처분(일반소각)20.0중간처분(일반소각)완주군 고산면 일원2023-05-23
175전라북도청(도로교통과)2021-06-23상관~마치간 지방도 확포장공사 임목폐기물처리용역임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)119.0(유)럭키우드119.0(유)럭키우드재활용(연료·고형연료제품 제조)119.0재활용(연료·고형연료제품 제조)완주군 상관면 마치리 405 일원2023-05-23
176화산면사무소2021-06-23방치쓰레기(불법투기지역 적치폐기물) 처리용역그 밖의 폐기물17.33(유)서광환경17.33(주)이엠케이승경중간처분(일반소각)17.33중간처분(일반소각)완주군 화산면 일원2023-05-23
177전주시청(자원순환과)2021-06-172021년 가연성 대형폐기물 운반_처리용역(2차)(단가계약)폐합성수지류(폐염화비닐수지류는 제외한다)560.0주원전주(주)560.0주원전주(주)중간처분(일반소각)560.0중간처분(일반소각)완주군 이서면 선비로 1363-181 (광역폐기물매립장 내)2023-05-23
178동상면사무소2021-06-172021년 자연발생유원지 폐기물처리용역그 밖의 폐기물20.0(유)서광환경20.0(주)이엠케이승경중간처분(일반소각)20.0중간처분(일반소각)완주군 동상면 일원2023-05-23
179상관면사무소2021-06-142021년 폐기물(쓰레기) 처리 용역그 밖의 폐기물9.41케이씨환경서비스(주)전주사업부9.41케이씨환경(주)전주사업부중간처분(일반소각)9.41중간처분(일반소각)완주군 상관면 일원2023-05-23
180유한회사 백수정건설2021-06-09과학산단 중계펌프장 준설공사하수준설토17.0유한회사 백수정건설17.0(유)천만금재활용(중간가공폐기물 제조)17.0재활용(중간가공폐기물 제조)완주군 과학산단 중계펌프장 내2023-05-23
181소양면사무소2021-06-092021년 하천보유쓰레기 폐기물처리용역폐합성수지류(폐염화비닐수지류는 제외한다)100.0산내환경자원100.0(유)현진알씨(R/C)재활용(중간가공폐기물 제조)100.0재활용(중간가공폐기물 제조)완주군 소양면 일원2023-05-23
182소양면사무소2021-06-092021년 하천보유쓰레기 폐기물처리용역그 밖의 폐기물100.0산내환경자원100.0케이씨환경서비스(주)전주사업부중간처분(일반소각)100.0중간처분(일반소각)완주군 소양면 일원2023-05-23
183유한회사 백수정건설2021-06-03과학산단 빗물받이 및 연결관 준설 공사하수준설토20.0유한회사 백수정건설20.0(유)천만금재활용(중간가공폐기물 제조)20.0재활용(중간가공폐기물 제조)완주군 봉동읍 용암리_ 둔산리 일원2023-05-23