Overview

Dataset statistics

Number of variables7
Number of observations512
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)0.8%
Total size in memory28.6 KiB
Average record size in memory57.3 B

Variable types

Text5
Numeric1
Categorical1

Dataset

Description사업장폐기물배출자 신고 현황 및 내용
Author경상북도 칠곡군
URLhttps://www.data.go.kr/data/15062119/fileData.do

Alerts

Dataset has 4 (0.8%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:11:49.183232
Analysis finished2023-12-12 07:11:50.211904
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct248
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T16:11:50.387549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.5703125
Min length2

Characters and Unicode

Total characters4388
Distinct characters271
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

Unique133 ?
Unique (%)26.0%

Sample

1st row주식회사 휘정인더스트리
2nd row주식회사 휘정인더스트리
3rd row진산환경
4th row형제산업
5th row형제산업
ValueCountFrequency (%)
칠곡엔바이로(주 15
 
2.5%
칠곡공장 15
 
2.5%
폴리에스터공장 14
 
2.3%
주)티케이케미칼 14
 
2.3%
주)알씨텍 12
 
2.0%
주)엘앤에프 11
 
1.8%
주)네이처셀 10
 
1.7%
구미시설공단 10
 
1.7%
재활용산업 8
 
1.3%
주)대진이앤씨 8
 
1.3%
Other values (260) 482
80.5%
2023-12-12T16:11:50.790260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 385
 
8.8%
( 378
 
8.6%
) 378
 
8.6%
이 109
 
2.5%
업 101
 
2.3%
공 96
 
2.2%
장 88
 
2.0%
87
 
2.0%
산 84
 
1.9%
스 76
 
1.7%
Other values (261) 2606
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3481
79.3%
Open Punctuation 378
 
8.6%
Close Punctuation 378
 
8.6%
Space Separator 87
 
2.0%
Uppercase Letter 34
 
0.8%
Decimal Number 29
 
0.7%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 385
 
11.1%
이 109
 
3.1%
업 101
 
2.9%
공 96
 
2.8%
장 88
 
2.5%
산 84
 
2.4%
스 76
 
2.2%
칠 72
 
2.1%
곡 72
 
2.1%
에 61
 
1.8%
Other values (242) 2337
67.1%
Uppercase Letter
ValueCountFrequency (%)
S 8
23.5%
L 5
14.7%
C 5
14.7%
T 5
14.7%
P 3
 
8.8%
H 2
 
5.9%
G 2
 
5.9%
J 1
 
2.9%
A 1
 
2.9%
D 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 12
41.4%
2 6
20.7%
4 6
20.7%
3 5
17.2%
Open Punctuation
ValueCountFrequency (%)
( 378
100.0%
Close Punctuation
ValueCountFrequency (%)
) 378
100.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3481
79.3%
Common 873
 
19.9%
Latin 34
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 385
 
11.1%
이 109
 
3.1%
업 101
 
2.9%
공 96
 
2.8%
장 88
 
2.5%
산 84
 
2.4%
스 76
 
2.2%
칠 72
 
2.1%
곡 72
 
2.1%
에 61
 
1.8%
Other values (242) 2337
67.1%
Latin
ValueCountFrequency (%)
S 8
23.5%
L 5
14.7%
C 5
14.7%
T 5
14.7%
P 3
 
8.8%
H 2
 
5.9%
G 2
 
5.9%
J 1
 
2.9%
A 1
 
2.9%
D 1
 
2.9%
Common
ValueCountFrequency (%)
( 378
43.3%
) 378
43.3%
87
 
10.0%
1 12
 
1.4%
2 6
 
0.7%
4 6
 
0.7%
3 5
 
0.6%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3481
79.3%
ASCII 907
 
20.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 385
 
11.1%
이 109
 
3.1%
업 101
 
2.9%
공 96
 
2.8%
장 88
 
2.5%
산 84
 
2.4%
스 76
 
2.2%
칠 72
 
2.1%
곡 72
 
2.1%
에 61
 
1.8%
Other values (242) 2337
67.1%
ASCII
ValueCountFrequency (%)
( 378
41.7%
) 378
41.7%
87
 
9.6%
1 12
 
1.3%
S 8
 
0.9%
2 6
 
0.7%
4 6
 
0.7%
L 5
 
0.6%
3 5
 
0.6%
C 5
 
0.6%
Other values (9) 17
 
1.9%

신고기준년도
Real number (ℝ)

Distinct27
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.6504
Minimum1992
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T16:11:50.943161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile2001
Q12005
median2012
Q32016
95-th percentile2019
Maximum2020
Range28
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.2802177
Coefficient of variation (CV)0.0031234758
Kurtosis-0.73911457
Mean2010.6504
Median Absolute Deviation (MAD)4
Skewness-0.51739171
Sum1029453
Variance39.441135
MonotonicityDecreasing
2023-12-12T16:11:51.078488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2015 51
 
10.0%
2016 45
 
8.8%
2014 40
 
7.8%
2002 39
 
7.6%
2012 36
 
7.0%
2017 29
 
5.7%
2008 29
 
5.7%
2004 26
 
5.1%
2010 23
 
4.5%
2019 23
 
4.5%
Other values (17) 171
33.4%
ValueCountFrequency (%)
1992 1
 
0.2%
1994 4
 
0.8%
1996 4
 
0.8%
1997 3
 
0.6%
1998 1
 
0.2%
1999 1
 
0.2%
2000 11
 
2.1%
2001 14
 
2.7%
2002 39
7.6%
2003 22
4.3%
ValueCountFrequency (%)
2020 16
 
3.1%
2019 23
4.5%
2018 22
4.3%
2017 29
5.7%
2016 45
8.8%
2015 51
10.0%
2014 40
7.8%
2013 20
 
3.9%
2012 36
7.0%
2011 9
 
1.8%

폐기물 종류
Text

Distinct81
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T16:11:51.400457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length57
Mean length13.558594
Min length2

Characters and Unicode

Total characters6942
Distinct characters167
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)5.9%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row폐합성수지류(폐염화비닐수지류는 제외한다)
3rd row폐합성수지류(폐염화비닐수지류는 제외한다)
4th row그 밖의 폐수처리오니
5th row폐합성수지류(폐염화비닐수지류는 제외한다)
ValueCountFrequency (%)
제외한다 142
 
12.9%
폐합성수지류(폐염화비닐수지류는 138
 
12.5%
그 85
 
7.7%
밖의 85
 
7.7%
폐합성수지류 50
 
4.5%
폐수처리오니 47
 
4.3%
폐합성수지 24
 
2.2%
하수처리오니 19
 
1.7%
분진 17
 
1.5%
말한다 14
 
1.3%
Other values (129) 482
43.7%
2023-12-12T16:11:51.868927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
595
 
8.6%
폐 574
 
8.3%
수 436
 
6.3%
류 380
 
5.5%
지 363
 
5.2%
성 257
 
3.7%
합 233
 
3.4%
한 175
 
2.5%
는 169
 
2.4%
제 166
 
2.4%
Other values (157) 3594
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5980
86.1%
Space Separator 595
 
8.6%
Open Punctuation 163
 
2.3%
Close Punctuation 163
 
2.3%
Connector Punctuation 38
 
0.5%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 574
 
9.6%
수 436
 
7.3%
류 380
 
6.4%
지 363
 
6.1%
성 257
 
4.3%
합 233
 
3.9%
한 175
 
2.9%
는 169
 
2.8%
제 166
 
2.8%
다 163
 
2.7%
Other values (151) 3064
51.2%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
595
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5980
86.1%
Common 962
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 574
 
9.6%
수 436
 
7.3%
류 380
 
6.4%
지 363
 
6.1%
성 257
 
4.3%
합 233
 
3.9%
한 175
 
2.9%
는 169
 
2.8%
제 166
 
2.8%
다 163
 
2.7%
Other values (151) 3064
51.2%
Common
ValueCountFrequency (%)
595
61.9%
( 163
 
16.9%
) 163
 
16.9%
_ 38
 
4.0%
1 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5951
85.7%
ASCII 962
 
13.9%
Compat Jamo 29
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
595
61.9%
( 163
 
16.9%
) 163
 
16.9%
_ 38
 
4.0%
1 2
 
0.2%
2 1
 
0.1%
Hangul
ValueCountFrequency (%)
폐 574
 
9.6%
수 436
 
7.3%
류 380
 
6.4%
지 363
 
6.1%
성 257
 
4.3%
합 233
 
3.9%
한 175
 
2.9%
는 169
 
2.8%
제 166
 
2.8%
다 163
 
2.7%
Other values (150) 3035
51.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 29
100.0%

운반자
Text

Distinct222
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T16:11:52.138932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.7324219
Min length2

Characters and Unicode

Total characters3447
Distinct characters206
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

Unique142 ?
Unique (%)27.7%

Sample

1st row황소
2nd row황소
3rd row㈜리사이클피아
4th row㈜태흥환경개발
5th row㈜태흥환경개발
ValueCountFrequency (%)
주)대화티엔에스 30
 
5.8%
주)태흥환경개발 30
 
5.8%
주)라이프환경 29
 
5.6%
내일산업 17
 
3.3%
선우기업(주 14
 
2.7%
라이프환경 14
 
2.7%
주)구미환경 12
 
2.3%
세원환경(주 11
 
2.1%
동광환경(주 9
 
1.7%
주)오운알투텍 7
 
1.4%
Other values (215) 343
66.5%
2023-12-12T16:11:52.581121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 340
 
9.9%
( 337
 
9.8%
) 337
 
9.8%
경 209
 
6.1%
환 187
 
5.4%
업 125
 
3.6%
산 106
 
3.1%
이 95
 
2.8%
대 65
 
1.9%
에 54
 
1.6%
Other values (196) 1592
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2755
79.9%
Open Punctuation 337
 
9.8%
Close Punctuation 337
 
9.8%
Other Symbol 5
 
0.1%
Space Separator 4
 
0.1%
Connector Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%
Decimal Number 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 340
 
12.3%
경 209
 
7.6%
환 187
 
6.8%
업 125
 
4.5%
산 106
 
3.8%
이 95
 
3.4%
대 65
 
2.4%
에 54
 
2.0%
스 53
 
1.9%
개 51
 
1.9%
Other values (185) 1470
53.4%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
o 1
33.3%
e 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 337
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2760
80.1%
Common 684
 
19.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 340
 
12.3%
경 209
 
7.6%
환 187
 
6.8%
업 125
 
4.5%
산 106
 
3.8%
이 95
 
3.4%
대 65
 
2.4%
에 54
 
2.0%
스 53
 
1.9%
개 51
 
1.8%
Other values (186) 1475
53.4%
Common
ValueCountFrequency (%)
( 337
49.3%
) 337
49.3%
4
 
0.6%
_ 3
 
0.4%
. 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
c 1
33.3%
o 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2755
79.9%
ASCII 687
 
19.9%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 340
 
12.3%
경 209
 
7.6%
환 187
 
6.8%
업 125
 
4.5%
산 106
 
3.8%
이 95
 
3.4%
대 65
 
2.4%
에 54
 
2.0%
스 53
 
1.9%
개 51
 
1.9%
Other values (185) 1470
53.4%
ASCII
ValueCountFrequency (%)
( 337
49.1%
) 337
49.1%
4
 
0.6%
_ 3
 
0.4%
. 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
c 1
 
0.1%
o 1
 
0.1%
e 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 5
100.0%

처리업소명
Text

Distinct240
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T16:11:52.862983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.6796875
Min length2

Characters and Unicode

Total characters3932
Distinct characters232
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

Unique156 ?
Unique (%)30.5%

Sample

1st row진영제지공업㈜
2nd row㈜새한산업개발
3rd row㈜리사이클피아칠곡지점
4th row그린싸이클링
5th row㈜태흥환경개발
ValueCountFrequency (%)
주)국인산업 47
 
9.1%
주)케이엠그린구미지점 17
 
3.3%
주)이앤이 13
 
2.5%
주)제일에너지 11
 
2.1%
진영제지공업(주 9
 
1.7%
주)새한산업개발 9
 
1.7%
주)케이비아이국인산업 8
 
1.5%
청조환경(주 7
 
1.3%
주)오운알투텍 7
 
1.3%
주)케이엠그린 7
 
1.3%
Other values (233) 384
74.0%
2023-12-12T16:11:53.313848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 399
 
10.1%
) 399
 
10.1%
주 399
 
10.1%
이 169
 
4.3%
업 166
 
4.2%
산 148
 
3.8%
지 104
 
2.6%
에 74
 
1.9%
인 69
 
1.8%
국 62
 
1.6%
Other values (222) 1943
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3102
78.9%
Open Punctuation 399
 
10.1%
Close Punctuation 399
 
10.1%
Uppercase Letter 12
 
0.3%
Space Separator 7
 
0.2%
Other Symbol 5
 
0.1%
Other Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 399
 
12.9%
이 169
 
5.4%
업 166
 
5.4%
산 148
 
4.8%
지 104
 
3.4%
에 74
 
2.4%
인 69
 
2.2%
국 62
 
2.0%
그 60
 
1.9%
린 59
 
1.9%
Other values (208) 1792
57.8%
Uppercase Letter
ValueCountFrequency (%)
P 3
25.0%
R 2
16.7%
N 2
16.7%
K 2
16.7%
H 2
16.7%
S 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
5 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 399
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3107
79.0%
Common 813
 
20.7%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 399
 
12.8%
이 169
 
5.4%
업 166
 
5.3%
산 148
 
4.8%
지 104
 
3.3%
에 74
 
2.4%
인 69
 
2.2%
국 62
 
2.0%
그 60
 
1.9%
린 59
 
1.9%
Other values (209) 1797
57.8%
Common
ValueCountFrequency (%)
( 399
49.1%
) 399
49.1%
7
 
0.9%
. 3
 
0.4%
2 2
 
0.2%
_ 2
 
0.2%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
P 3
25.0%
R 2
16.7%
N 2
16.7%
K 2
16.7%
H 2
16.7%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3102
78.9%
ASCII 825
 
21.0%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 399
48.4%
) 399
48.4%
7
 
0.8%
. 3
 
0.4%
P 3
 
0.4%
R 2
 
0.2%
N 2
 
0.2%
2 2
 
0.2%
K 2
 
0.2%
H 2
 
0.2%
Other values (3) 4
 
0.5%
Hangul
ValueCountFrequency (%)
주 399
 
12.9%
이 169
 
5.4%
업 166
 
5.4%
산 148
 
4.8%
지 104
 
3.4%
에 74
 
2.4%
인 69
 
2.2%
국 62
 
2.0%
그 60
 
1.9%
린 59
 
1.9%
Other values (208) 1792
57.8%
None
ValueCountFrequency (%)
㈜ 5
100.0%

처리방법
Categorical

Distinct29
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
중간처분(일반소각)
105 
재활용(중간가공폐기물 제조)
92 
매립(민간관리형매립시설)
79 
재활용(원료 제조)
35 
재활용(기타)
25 
Other values (24)
176 

Length

Max length19
Median length17
Mean length11.841797
Min length2

Unique

Unique4 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
중간처분(일반소각) 105
20.5%
재활용(중간가공폐기물 제조) 92
18.0%
매립(민간관리형매립시설) 79
15.4%
재활용(원료 제조) 35
 
6.8%
재활용(기타) 25
 
4.9%
재활용(농업생산활동에 사용) 19
 
3.7%
중간처분(파쇄.분쇄) 18
 
3.5%
재활용(연료·고형연료제품 제조) 17
 
3.3%
재활용(토질개선에 사용) 16
 
3.1%
재활용(직접 제품제조) 15
 
2.9%
Other values (19) 91
17.8%

Length

2023-12-12T16:11:53.493160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 144
19.5%
중간처분(일반소각 105
14.2%
재활용(중간가공폐기물 92
12.4%
매립(민간관리형매립시설 79
10.7%
사용 47
 
6.4%
재활용(원료 35
 
4.7%
재활용(기타 25
 
3.4%
재활용(직접 24
 
3.2%
재활용(농업생산활동에 19
 
2.6%
중간처분(파쇄.분쇄 18
 
2.4%
Other values (24) 152
20.5%

사업장도로명주소
Text

Distinct232
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T16:11:53.790628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length22.333984
Min length18

Characters and Unicode

Total characters11435
Distinct characters132
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

Unique120 ?
Unique (%)23.4%

Sample

1st row경상북도 칠곡군 지천면 지천로 368
2nd row경상북도 칠곡군 지천면 지천로 368
3rd row경상북도 칠곡군 왜관읍 공단로11길 46-6
4th row경상북도 칠곡군 석적읍 포망로 247
5th row경상북도 칠곡군 석적읍 포망로 247
ValueCountFrequency (%)
경상북도 510
19.7%
칠곡군 509
19.6%
왜관읍 171
 
6.6%
가산면 95
 
3.7%
석적읍 75
 
2.9%
약목면 73
 
2.8%
기산면 36
 
1.4%
학상1길 35
 
1.4%
호국로 26
 
1.0%
3공단2로 24
 
0.9%
Other values (299) 1037
40.0%
2023-12-12T16:11:54.263726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2083
18.2%
경 567
 
5.0%
상 551
 
4.8%
북 544
 
4.8%
곡 537
 
4.7%
칠 531
 
4.6%
도 526
 
4.6%
군 510
 
4.5%
1 447
 
3.9%
2 335
 
2.9%
Other values (122) 4804
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7114
62.2%
Space Separator 2083
 
18.2%
Decimal Number 1992
 
17.4%
Dash Punctuation 189
 
1.7%
Close Punctuation 20
 
0.2%
Open Punctuation 20
 
0.2%
Connector Punctuation 13
 
0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 567
 
8.0%
상 551
 
7.7%
북 544
 
7.6%
곡 537
 
7.5%
칠 531
 
7.5%
도 526
 
7.4%
군 510
 
7.2%
로 315
 
4.4%
길 295
 
4.1%
읍 260
 
3.7%
Other values (106) 2478
34.8%
Decimal Number
ValueCountFrequency (%)
1 447
22.4%
2 335
16.8%
3 207
10.4%
6 197
9.9%
4 175
 
8.8%
5 167
 
8.4%
7 154
 
7.7%
8 119
 
6.0%
0 107
 
5.4%
9 84
 
4.2%
Space Separator
ValueCountFrequency (%)
2083
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7114
62.2%
Common 4317
37.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 567
 
8.0%
상 551
 
7.7%
북 544
 
7.6%
곡 537
 
7.5%
칠 531
 
7.5%
도 526
 
7.4%
군 510
 
7.2%
로 315
 
4.4%
길 295
 
4.1%
읍 260
 
3.7%
Other values (106) 2478
34.8%
Common
ValueCountFrequency (%)
2083
48.3%
1 447
 
10.4%
2 335
 
7.8%
3 207
 
4.8%
6 197
 
4.6%
- 189
 
4.4%
4 175
 
4.1%
5 167
 
3.9%
7 154
 
3.6%
8 119
 
2.8%
Other values (5) 244
 
5.7%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7114
62.2%
ASCII 4321
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2083
48.2%
1 447
 
10.3%
2 335
 
7.8%
3 207
 
4.8%
6 197
 
4.6%
- 189
 
4.4%
4 175
 
4.0%
5 167
 
3.9%
7 154
 
3.6%
8 119
 
2.8%
Other values (6) 248
 
5.7%
Hangul
ValueCountFrequency (%)
경 567
 
8.0%
상 551
 
7.7%
북 544
 
7.6%
곡 537
 
7.5%
칠 531
 
7.5%
도 526
 
7.4%
군 510
 
7.2%
로 315
 
4.4%
길 295
 
4.1%
읍 260
 
3.7%
Other values (106) 2478
34.8%

Interactions

2023-12-12T16:11:49.818090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:11:54.378217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도폐기물 종류처리방법
신고기준년도1.0000.7660.614
폐기물 종류0.7661.0000.920
처리방법0.6140.9201.000
2023-12-12T16:11:54.472837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도처리방법
신고기준년도1.0000.263
처리방법0.2631.000

Missing values

2023-12-12T16:11:50.013295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:11:50.159646image/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

상호신고기준년도폐기물 종류운반자처리업소명처리방법사업장도로명주소
0주식회사 휘정인더스트리2020폐합성수지류(폐염화비닐수지류는 제외한다)황소진영제지공업㈜중간처분(일반소각)경상북도 칠곡군 지천면 지천로 368
1주식회사 휘정인더스트리2020폐합성수지류(폐염화비닐수지류는 제외한다)황소㈜새한산업개발재활용(중간가공폐기물 제조)경상북도 칠곡군 지천면 지천로 368
2진산환경2020폐합성수지류(폐염화비닐수지류는 제외한다)㈜리사이클피아㈜리사이클피아칠곡지점재활용(중간가공폐기물 제조)경상북도 칠곡군 왜관읍 공단로11길 46-6
3형제산업2020그 밖의 폐수처리오니㈜태흥환경개발그린싸이클링재활용(토질개선에 사용)경상북도 칠곡군 석적읍 포망로 247
4형제산업2020폐합성수지류(폐염화비닐수지류는 제외한다)㈜태흥환경개발㈜태흥환경개발재활용(중간가공폐기물 제조)경상북도 칠곡군 석적읍 포망로 247
5형제산업2020폐합성수지류(폐염화비닐수지류는 제외한다)㈜태흥환경개발유유리싸이클링㈜재활용(중간가공폐기물 제조)경상북도 칠곡군 석적읍 포망로 247
6언더로뎀요양병원2020그 밖의 폐섬유(주)세명유니온경북환경에너지(주)중간처분(일반소각)경상북도 칠곡군 동명면 기성10길 24
7일광영농조합법인2020그 밖의 식물성잔재물(주)라이프환경상공원예영농조합법인재활용(농업생산활동에 사용)경상북도 칠곡군 동명면 금암동석4길 32
8(주)토성 기산지점2020폐합성고무류(주)나림우드한일시멘트(주)단양공장재활용(직접 에너지회수)경상북도 칠곡군 기산면 행정2길 95
9은경케미칼2020폐합성수지류(폐염화비닐수지류는 제외한다)(주)대화티엔에스(주)케이비아이국인이산업중간처분(일반소각)경상북도 칠곡군 가산면 학상1길 159-26
상호신고기준년도폐기물 종류운반자처리업소명처리방법사업장도로명주소
502경동사1997폐페인트 및 폐락카태흥환경태흥환경소각경상북도 칠곡군 왜관읍 공단로3길 22
503대양산업(주)1996폐합성수지(주)오양(주)오양매립(기타매립시설)경상북도 칠곡군 왜관읍 공단로8길 75
504대양산업(주)1996소각잔재물(주)오양(주)오양매립(기타매립시설)경상북도 칠곡군 왜관읍 공단로8길 75
505(주)삼성제침1996폐수처리오니(주)구미환경(주)티에스케이이앤이매립(관리형매립시설)경상북도 칠곡군 왜관읍 공단로 256
506(주)삼성제침1996폐합성수지류(폐염화비닐수지류는 제외한다)(주)구미환경(주)이앤이중간처분(일반소각)경상북도 칠곡군 왜관읍 공단로 256
507진영제지공업(주)1994폐합성수지류(폐염화비닐수지류는 제외한다)자가처리자가중간처분(일반소각)경상북도 칠곡군 약목면 교8길 83
508진영제지공업(주)1994사업장폐기물 소각시설 바닥재(주)대화티엔에스에코시스템(주)구미매립(민간관리형매립시설)경상북도 칠곡군 약목면 교8길 83
509진영제지공업(주)1994사업장폐기물 소각시설 비산재(주)대화티엔에스에코시스템(주)구미매립(민간관리형매립시설)경상북도 칠곡군 약목면 교8길 83
510진영제지공업(주)1994그 밖의 무기성오니(주)대화티엔에스에코시스템(주)구미매립(민간관리형매립시설)경상북도 칠곡군 약목면 교8길 83
511한일건재공업(주)1992폐콘크리트(주)세명산업개발(주)세명산업개발중간처분(파쇄.분쇄)경상북도 칠곡군 북삼읍 금오동천로 27

Duplicate rows

Most frequently occurring

상호신고기준년도폐기물 종류운반자처리업소명처리방법사업장도로명주소# duplicates
0(주)드림엠텍2017그 밖의 분진세원환경(주)(주)동양에코경주매립(민간관리형매립시설)경상북도 칠곡군 석적읍 포망로 3032
1소량배출인협의회2002그 밖의 소각시설 중 바닥재와 비산재가 분리ㆍ배출되는 시설에서 발생하는 비산재오성기업(주)와이에스텍매립(기타매립시설)경상북도 칠곡군 약목면 복성4길 232
2약목하수종말처리장2002사업장폐기물동화개발(주)(주)선그린매립(기타매립시설)경상북도 칠곡군 약목면 교1길 612
3용천섬유2004사업장일반폐기물중부산업중부산업재활용(기타)경상북도 칠곡군 왜관읍 공단로 1832