Overview

Dataset statistics

Number of variables8
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory66.9 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description전라남도 담양군 사업장폐기물배출업소 정보(업소명, 대표자, 읍면, 업종, 폐기물종류, 배출량)등에 대한 정보를 제공하고 있으며, 공공데이터포털에 제공데이터는 기관승인 없이 무료로 활용이 가능합니다.
Author전라남도 담양군
URLhttps://www.data.go.kr/data/15060418/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
일련번호 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:57:57.624295
Analysis finished2023-12-12 20:57:58.392252
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-13T05:57:58.458968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2023-12-13T05:57:58.600466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

업소명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-13T05:57:58.813865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11.5
Mean length7.0441176
Min length3

Characters and Unicode

Total characters479
Distinct characters160
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row한솔페이퍼텍
2nd row(유)은성석재산업
3rd row담양폐비닐처리공장
4th row광영석재
5th row태백대리석㈜
ValueCountFrequency (%)
농업회사법인 2
 
2.7%
한솔페이퍼텍 1
 
1.4%
유)은성석재산업 1
 
1.4%
명진식품 1
 
1.4%
㈜담양한과 1
 
1.4%
㈜남경 1
 
1.4%
㈜대양콘크리트 1
 
1.4%
참좋은영농조합법인 1
 
1.4%
㈜한국식품 1
 
1.4%
㈜유창지엠티 1
 
1.4%
Other values (62) 62
84.9%
2023-12-13T05:57:59.171853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 38
 
7.9%
업 19
 
4.0%
산 15
 
3.1%
양 12
 
2.5%
한 12
 
2.5%
담 11
 
2.3%
10
 
2.1%
이 9
 
1.9%
사 9
 
1.9%
리 9
 
1.9%
Other values (150) 335
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
85.6%
Other Symbol 38
 
7.9%
Space Separator 10
 
2.1%
Close Punctuation 8
 
1.7%
Open Punctuation 8
 
1.7%
Uppercase Letter 4
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 19
 
4.6%
산 15
 
3.7%
양 12
 
2.9%
한 12
 
2.9%
담 11
 
2.7%
이 9
 
2.2%
사 9
 
2.2%
리 9
 
2.2%
유 7
 
1.7%
농 7
 
1.7%
Other values (143) 300
73.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
C 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 38
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
93.5%
Common 27
 
5.6%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 38
 
8.5%
업 19
 
4.2%
산 15
 
3.3%
양 12
 
2.7%
한 12
 
2.7%
담 11
 
2.5%
이 9
 
2.0%
사 9
 
2.0%
리 9
 
2.0%
유 7
 
1.6%
Other values (144) 307
68.5%
Common
ValueCountFrequency (%)
10
37.0%
) 8
29.6%
( 8
29.6%
& 1
 
3.7%
Latin
ValueCountFrequency (%)
A 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
85.6%
None 38
 
7.9%
ASCII 31
 
6.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 38
100.0%
Hangul
ValueCountFrequency (%)
업 19
 
4.6%
산 15
 
3.7%
양 12
 
2.9%
한 12
 
2.9%
담 11
 
2.7%
이 9
 
2.2%
사 9
 
2.2%
리 9
 
2.2%
유 7
 
1.7%
농 7
 
1.7%
Other values (143) 300
73.2%
ASCII
ValueCountFrequency (%)
10
32.3%
) 8
25.8%
( 8
25.8%
A 2
 
6.5%
C 2
 
6.5%
& 1
 
3.2%

대표자
Text

Distinct51
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-13T05:57:59.375109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.3676471
Min length3

Characters and Unicode

Total characters229
Distinct characters66
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

Unique47 ?
Unique (%)69.1%

Sample

1st row대표이사
2nd row강*애
3rd row자원순환처장
4th row이*주
5th row임*하
ValueCountFrequency (%)
대표이사 13
 
19.1%
담양군수 4
 
5.9%
이*주 2
 
2.9%
지사장 2
 
2.9%
학교장 1
 
1.5%
송*현 1
 
1.5%
국*표 1
 
1.5%
송*찬 1
 
1.5%
정*준 1
 
1.5%
윤*창 1
 
1.5%
Other values (41) 41
60.3%
2023-12-13T05:57:59.731203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 45
19.7%
이 21
 
9.2%
사 15
 
6.6%
대 14
 
6.1%
표 14
 
6.1%
김 9
 
3.9%
양 7
 
3.1%
장 6
 
2.6%
호 5
 
2.2%
수 4
 
1.7%
Other values (56) 89
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
79.0%
Other Punctuation 46
 
20.1%
Dash Punctuation 1
 
0.4%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 21
 
11.6%
사 15
 
8.3%
대 14
 
7.7%
표 14
 
7.7%
김 9
 
5.0%
양 7
 
3.9%
장 6
 
3.3%
호 5
 
2.8%
수 4
 
2.2%
군 4
 
2.2%
Other values (52) 82
45.3%
Other Punctuation
ValueCountFrequency (%)
* 45
97.8%
, 1
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181
79.0%
Common 48
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 21
 
11.6%
사 15
 
8.3%
대 14
 
7.7%
표 14
 
7.7%
김 9
 
5.0%
양 7
 
3.9%
장 6
 
3.3%
호 5
 
2.8%
수 4
 
2.2%
군 4
 
2.2%
Other values (52) 82
45.3%
Common
ValueCountFrequency (%)
* 45
93.8%
- 1
 
2.1%
1
 
2.1%
, 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
79.0%
ASCII 48
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 45
93.8%
- 1
 
2.1%
1
 
2.1%
, 1
 
2.1%
Hangul
ValueCountFrequency (%)
이 21
 
11.6%
사 15
 
8.3%
대 14
 
7.7%
표 14
 
7.7%
김 9
 
5.0%
양 7
 
3.9%
장 6
 
3.3%
호 5
 
2.8%
수 4
 
2.2%
군 4
 
2.2%
Other values (52) 82
45.3%

읍면
Categorical

Distinct10
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size676.0 B
전라남도 담양군 금성면
14 
전라남도 담양군 무정면
12 
전라남도 담양군 담양읍
11 
전라남도 담양군 수북면
7 
전라남도 담양군 월산면
6 
Other values (5)
18 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 담양군 대전면
2nd row전라남도 담양군 봉산면
3rd row전라남도 담양군 금성면
4th row전라남도 담양군 봉산면
5th row전라남도 담양군 금성면

Common Values

ValueCountFrequency (%)
전라남도 담양군 금성면 14
20.6%
전라남도 담양군 무정면 12
17.6%
전라남도 담양군 담양읍 11
16.2%
전라남도 담양군 수북면 7
10.3%
전라남도 담양군 월산면 6
8.8%
전라남도 담양군 대전면 5
 
7.4%
전라남도 담양군 봉산면 4
 
5.9%
전라남도 담양군 창평면 4
 
5.9%
전라남도 담양군 대덕면 3
 
4.4%
전라남도 담양군 고서면 2
 
2.9%

Length

2023-12-13T05:57:59.868148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:58:00.008720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 68
33.3%
담양군 68
33.3%
금성면 14
 
6.9%
무정면 12
 
5.9%
담양읍 11
 
5.4%
수북면 7
 
3.4%
월산면 6
 
2.9%
대전면 5
 
2.5%
봉산면 4
 
2.0%
창평면 4
 
2.0%
Other values (2) 5
 
2.5%

업 종
Categorical

Distinct33
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
제조업
27 
관공서
 
3
석제품가공업
 
3
폐기물처리업
 
2
금속제품제조업
 
2
Other values (28)
31 

Length

Max length13
Median length3
Mean length4.6617647
Min length3

Unique

Unique25 ?
Unique (%)36.8%

Sample

1st row종이제품제조업
2nd row석제품가공업
3rd row합성수지, 재생원료생산
4th row석제품가공업
5th row석제품가공업

Common Values

ValueCountFrequency (%)
제조업 27
39.7%
관공서 3
 
4.4%
석제품가공업 3
 
4.4%
폐기물처리업 2
 
2.9%
금속제품제조업 2
 
2.9%
도소매 2
 
2.9%
곡물도정업 2
 
2.9%
레미콘제조업 2
 
2.9%
하수종말처리장 1
 
1.5%
흄관제조업 1
 
1.5%
Other values (23) 23
33.8%

Length

2023-12-13T05:58:00.167305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 27
38.6%
석제품가공업 3
 
4.3%
관공서 3
 
4.3%
폐기물처리업 2
 
2.9%
금속제품제조업 2
 
2.9%
도소매 2
 
2.9%
곡물도정업 2
 
2.9%
레미콘제조업 2
 
2.9%
건설업 1
 
1.4%
대학교 1
 
1.4%
Other values (25) 25
35.7%

페기물종류
Text

Distinct53
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-13T05:58:00.386655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length134
Median length54
Mean length25.720588
Min length3

Characters and Unicode

Total characters1749
Distinct characters120
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

Unique45 ?
Unique (%)66.2%

Sample

1st row폐수처리오니(51-01-07), 폐합성수지(51-03-01), 바닥재(51-08-04), 폐활성탄(51-11-03), 폐토사(51-21-01), 그밖의폐기(51-99-00)
2nd row오니류, 파석
3rd row그밖의무기성오니(51-02-99), 폐합성수지류(51-03-01)
4th row폐수처리, 오니, 파석
5th row폐수처리, 오니, 파석
ValueCountFrequency (%)
폐합성수지(51-03-01 12
 
9.3%
폐콘크리트(51-22-01 8
 
6.2%
폐합성수지류(51-03-01 7
 
5.4%
폐합성수지 4
 
3.1%
그밖의분진(51-05-99 4
 
3.1%
축산물가공잔재물(51-17-02 3
 
2.3%
그밖의폐목재류(51-20-99 3
 
2.3%
그밖의폐수처리오니(51-01-08 3
 
2.3%
파석 3
 
2.3%
왕겨 2
 
1.6%
Other values (71) 80
62.0%
2023-12-13T05:58:00.824657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 191
 
10.9%
1 172
 
9.8%
0 148
 
8.5%
5 106
 
6.1%
) 103
 
5.9%
( 103
 
5.9%
폐 83
 
4.7%
63
 
3.6%
, 58
 
3.3%
2 51
 
2.9%
Other values (110) 671
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 651
37.2%
Decimal Number 577
33.0%
Dash Punctuation 191
 
10.9%
Close Punctuation 103
 
5.9%
Open Punctuation 103
 
5.9%
Space Separator 63
 
3.6%
Other Punctuation 58
 
3.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 83
 
12.7%
수 40
 
6.1%
성 35
 
5.4%
물 33
 
5.1%
지 29
 
4.5%
합 26
 
4.0%
리 25
 
3.8%
재 23
 
3.5%
그 19
 
2.9%
밖 19
 
2.9%
Other values (92) 319
49.0%
Decimal Number
ValueCountFrequency (%)
1 172
29.8%
0 148
25.6%
5 106
18.4%
2 51
 
8.8%
9 33
 
5.7%
3 31
 
5.4%
7 15
 
2.6%
8 11
 
1.9%
6 5
 
0.9%
4 5
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1095
62.6%
Hangul 651
37.2%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 83
 
12.7%
수 40
 
6.1%
성 35
 
5.4%
물 33
 
5.1%
지 29
 
4.5%
합 26
 
4.0%
리 25
 
3.8%
재 23
 
3.5%
그 19
 
2.9%
밖 19
 
2.9%
Other values (92) 319
49.0%
Common
ValueCountFrequency (%)
- 191
17.4%
1 172
15.7%
0 148
13.5%
5 106
9.7%
) 103
9.4%
( 103
9.4%
63
 
5.8%
, 58
 
5.3%
2 51
 
4.7%
9 33
 
3.0%
Other values (5) 67
 
6.1%
Latin
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1098
62.8%
Hangul 651
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 191
17.4%
1 172
15.7%
0 148
13.5%
5 106
9.7%
) 103
9.4%
( 103
9.4%
63
 
5.7%
, 58
 
5.3%
2 51
 
4.6%
9 33
 
3.0%
Other values (8) 70
 
6.4%
Hangul
ValueCountFrequency (%)
폐 83
 
12.7%
수 40
 
6.1%
성 35
 
5.4%
물 33
 
5.1%
지 29
 
4.5%
합 26
 
4.0%
리 25
 
3.8%
재 23
 
3.5%
그 19
 
2.9%
밖 19
 
2.9%
Other values (92) 319
49.0%

배출량(톤_년)
Text

Distinct60
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-13T05:58:01.055678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length7.0294118
Min length2

Characters and Unicode

Total characters478
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)80.9%

Sample

1st row18000, 23460, 10800, 500, 1020, 4800
2nd row63, 100
3rd row10000, 140
4th row40, 500
5th row15, 18
ValueCountFrequency (%)
120 8
 
6.3%
300 5
 
4.0%
360 5
 
4.0%
60 5
 
4.0%
30 4
 
3.2%
500 4
 
3.2%
50 4
 
3.2%
18 3
 
2.4%
1200 3
 
2.4%
6 3
 
2.4%
Other values (67) 82
65.1%
2023-12-13T05:58:01.469390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 122
25.5%
, 58
12.1%
58
12.1%
1 41
 
8.6%
2 39
 
8.2%
3 28
 
5.9%
6 28
 
5.9%
5 26
 
5.4%
4 25
 
5.2%
8 24
 
5.0%
Other values (4) 29
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
73.6%
Other Punctuation 67
 
14.0%
Space Separator 58
 
12.1%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
34.7%
1 41
 
11.6%
2 39
 
11.1%
3 28
 
8.0%
6 28
 
8.0%
5 26
 
7.4%
4 25
 
7.1%
8 24
 
6.8%
9 10
 
2.8%
7 9
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 58
86.6%
. 9
 
13.4%
Space Separator
ValueCountFrequency (%)
58
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 478
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 122
25.5%
, 58
12.1%
58
12.1%
1 41
 
8.6%
2 39
 
8.2%
3 28
 
5.9%
6 28
 
5.9%
5 26
 
5.4%
4 25
 
5.2%
8 24
 
5.0%
Other values (4) 29
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 477
99.8%
Arrows 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 122
25.6%
, 58
12.2%
58
12.2%
1 41
 
8.6%
2 39
 
8.2%
3 28
 
5.9%
6 28
 
5.9%
5 26
 
5.5%
4 25
 
5.2%
8 24
 
5.0%
Other values (3) 28
 
5.9%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-09-15
68 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-15
2nd row2023-09-15
3rd row2023-09-15
4th row2023-09-15
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2023-09-15 68
100.0%

Length

2023-12-13T05:58:01.634439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:58:01.726435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-15 68
100.0%

Interactions

2023-12-13T05:57:58.134499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:58:01.797274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호업소명대표자읍면업 종페기물종류배출량(톤_년)
일련번호1.0001.0000.7340.4480.7620.8880.838
업소명1.0001.0001.0001.0001.0001.0001.000
대표자0.7341.0001.0000.0000.6560.9310.880
읍면0.4481.0000.0001.0000.0000.7690.746
업 종0.7621.0000.6560.0001.0000.9760.978
페기물종류0.8881.0000.9310.7690.9761.0000.967
배출량(톤_년)0.8381.0000.8800.7460.9780.9671.000
2023-12-13T05:58:01.907331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면업 종
읍면1.0000.000
업 종0.0001.000
2023-12-13T05:58:01.980082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호읍면업 종
일련번호1.0000.1440.292
읍면0.1441.0000.000
업 종0.2920.0001.000

Missing values

2023-12-13T05:57:58.241305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:57:58.349518image/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

일련번호업소명대표자읍면업 종페기물종류배출량(톤_년)데이터기준일자
01한솔페이퍼텍대표이사전라남도 담양군 대전면종이제품제조업폐수처리오니(51-01-07), 폐합성수지(51-03-01), 바닥재(51-08-04), 폐활성탄(51-11-03), 폐토사(51-21-01), 그밖의폐기(51-99-00)18000, 23460, 10800, 500, 1020, 48002023-09-15
12(유)은성석재산업강*애전라남도 담양군 봉산면석제품가공업오니류, 파석63, 1002023-09-15
23담양폐비닐처리공장자원순환처장전라남도 담양군 금성면합성수지, 재생원료생산그밖의무기성오니(51-02-99), 폐합성수지류(51-03-01)10000, 1402023-09-15
34광영석재이*주전라남도 담양군 봉산면석제품가공업폐수처리, 오니, 파석40, 5002023-09-15
45태백대리석㈜임*하전라남도 담양군 금성면석제품가공업폐수처리, 오니, 파석15, 182023-09-15
56동일산업㈜이*우전라남도 담양군 금성면비금속광물제품제조업폐수처리오니(51-01-02), 폐콘크리트(51-22-01), 폐아스콘(51-23-00)360, 120, 1202023-09-15
67한라엔컴㈜담양사업소대표이사전라남도 담양군 봉산면레미콘제조업건설오니(51-02-05), 폐콘크리트(51-22-01)120, 9002023-09-15
78㈜자연과 사람들윤*구전라남도 담양군 금성면음식료품제조업그밖의폐수처리오니(51-01-08), 폐합성수지(51-03-01), 식혜오니(51-17-29), 녹차잎(51-17-29), 식혜박(51-17-29), 그밖의폐목재류(51-20-99)6180, 780, 600, 120, 190, 32023-09-15
89신계정수장담양군수전라남도 담양군 월산면취,정수장정수처리오니(51-01-01)1802023-09-15
910㈜제일윤*현전라남도 담양군 무정면금속제품제조업그밖의폐기물(5199-00)1202023-09-15
일련번호업소명대표자읍면업 종페기물종류배출량(톤_년)데이터기준일자
5859영창산업㈜ 담양공장양*호전라남도 담양군 대전면제조업폐합성수지류(51-03-01), 목재가공공장 부산물(51-20-05), 그밖의폐목재류(51-20-99)75, 40, 502023-09-15
5960대륭밸브(주)임*식전라남도 담양군 금성면제조업점토점결폐주물사(51-06-01)4802023-09-15
6061담양군청담양군수전라남도 담양군 고서면관공서폐목재(1등급)152023-09-15
6162㈜앤씨엠에프대표이사전라남도 담양군 월산면제조업그밖의분진(51-05-99)182023-09-15
6263남산수지신*영전라남도 담양군 무정면폐기물처리업폐합성수지류(51-03-01)802023-09-15
6364성산산업(유)이*주전라남도 담양군 대전면제조업폐콘크리트(51-22-01)1202023-09-15
6465동성타이어정-성전라남도 담양군 월산면자동차수리업폐타이어(51-15-02)3002023-09-15
6566㈜케이이씨이*호,이*호전라남도 담양군 금성면제조업폐콘리트(51-22-01)3002023-09-15
6667㈜트리엔김*호전라남도 담양군 수북면제조업폐목재류(51-20-99)1002023-09-15
6768더그린하우스이*배전라남도 담양군 담양읍도소매축산물가공잔재물(51-17-02)5002023-09-15