Overview

Dataset statistics

Number of variables32
Number of observations213
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.0 KiB
Average record size in memory288.6 B

Variable types

Categorical16
Numeric16

Dataset

Description고형연료제품 (SRF, BIO-SRF 성형, 비성형) 에 대한 제조시설의 업체별 반입량 및 생산량을 나탄내는 연간 데이터
URLhttps://www.data.go.kr/data/15090929/fileData.do

Alerts

년도 has constant value ""Constant
처리 바이오고형연료성형폐기량(톤) has constant value ""Constant
처리폐기물수율(퍼센트) has constant value ""Constant
반입농업폐기물량(톤) has constant value ""Constant
반입초본류폐기물량(톤) has constant value ""Constant
처리 바이오고형연료성형생산량(톤) is highly imbalanced (94.6%)Imbalance
처리폐기물반출량(톤) is highly imbalanced (92.6%)Imbalance
처리 고형연료성형폐기량(톤) is highly imbalanced (94.6%)Imbalance
처리 고형연료비성형폐기량(톤) is highly imbalanced (93.5%)Imbalance
처리 바이오고형연료비성형폐기량(톤) is highly imbalanced (95.7%)Imbalance
처리 바이오고형연료성형생산수율(퍼센트) is highly imbalanced (94.6%)Imbalance
판매 바이오고형연료성형판매량(톤) is highly imbalanced (94.6%)Imbalance
반입폐고무류량(톤) is highly imbalanced (92.6%)Imbalance
반입폐타이어량(톤) is highly imbalanced (94.6%)Imbalance
반입폐지류량(톤) is highly imbalanced (95.7%)Imbalance
반입식물성잔재물량(톤) is highly imbalanced (95.7%)Imbalance
시설아이디 has unique valuesUnique
처리 고형연료성형생산량(톤) has 160 (75.1%) zerosZeros
처리 고형연료비성형생산량(톤) has 136 (63.8%) zerosZeros
처리 바이오고형연료비성형생산량(톤) has 126 (59.2%) zerosZeros
처리폐기물반입량(톤) has 4 (1.9%) zerosZeros
처리폐기물투입량(톤) has 5 (2.3%) zerosZeros
처리 고형연료성형생산수율(퍼센트) has 160 (75.1%) zerosZeros
처리 고형연료비성형생산수율(퍼센트) has 136 (63.8%) zerosZeros
처리 바이오고형연료비성형생산수율(퍼센트) has 126 (59.2%) zerosZeros
판매 고형연료성형판매량(톤) has 161 (75.6%) zerosZeros
판매 고형연료비성형판매량(톤) has 135 (63.4%) zerosZeros
판매 바이오고형연료비성형판매량(톤) has 126 (59.2%) zerosZeros
반입생활폐기물량(톤) has 197 (92.5%) zerosZeros
반입폐합성수지류량(톤) has 109 (51.2%) zerosZeros
반입폐합성섬유류량(톤) has 208 (97.7%) zerosZeros
반입폐목재류량(톤) has 123 (57.7%) zerosZeros

Reproduction

Analysis started2023-12-12 07:12:31.139624
Analysis finished2023-12-12 07:12:31.393443
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022
213 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 213
100.0%

Length

2023-12-12T16:12:31.457527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:31.562638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 213
100.0%

시설아이디
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6760409 × 109
Minimum5.264402 × 109
Maximum8.501305 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:31.699982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.264402 × 109
5-th percentile5.459862 × 109
Q17.415705 × 109
median7.468105 × 109
Q38.414805 × 109
95-th percentile8.478445 × 109
Maximum8.501305 × 109
Range3.236903 × 109
Interquartile range (IQR)9.991 × 108

Descriptive statistics

Standard deviation7.5700827 × 108
Coefficient of variation (CV)0.098619624
Kurtosis2.5921939
Mean7.6760409 × 109
Median Absolute Deviation (MAD)1.855 × 108
Skewness-1.3646367
Sum1.6349967 × 1012
Variance5.7306152 × 1017
MonotonicityStrictly increasing
2023-12-12T16:12:31.840454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5264402002 1
 
0.5%
8271705004 1
 
0.5%
8277105003 1
 
0.5%
8277105004 1
 
0.5%
8281105002 1
 
0.5%
8281705001 1
 
0.5%
8282605001 1
 
0.5%
8282605002 1
 
0.5%
8292005001 1
 
0.5%
8292005002 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
5264402002 1
0.5%
5277102001 1
0.5%
5282602001 1
0.5%
5361103002 1
0.5%
5411903003 1
0.5%
5412102001 1
0.5%
5414503001 1
0.5%
5421303002 1
0.5%
5421303003 1
0.5%
5457303002 1
0.5%
ValueCountFrequency (%)
8501305002 1
0.5%
8488905001 1
0.5%
8487305003 1
0.5%
8487305001 1
0.5%
8482505005 1
0.5%
8482505004 1
0.5%
8482505002 1
0.5%
8482505001 1
0.5%
8482405001 1
0.5%
8478505002 1
0.5%

처리 고형연료성형생산량(톤)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1462.9202
Minimum0
Maximum29217
Zeros160
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:31.999554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8008
Maximum29217
Range29217
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3615.6058
Coefficient of variation (CV)2.471499
Kurtosis20.547511
Mean1462.9202
Median Absolute Deviation (MAD)0
Skewness3.921156
Sum311602
Variance13072605
MonotonicityNot monotonic
2023-12-12T16:12:32.143578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
75.1%
1877 1
 
0.5%
4798 1
 
0.5%
2082 1
 
0.5%
4443 1
 
0.5%
3597 1
 
0.5%
3630 1
 
0.5%
13911 1
 
0.5%
4030 1
 
0.5%
4949 1
 
0.5%
Other values (44) 44
 
20.7%
ValueCountFrequency (%)
0 160
75.1%
96 1
 
0.5%
205 1
 
0.5%
332 1
 
0.5%
387 1
 
0.5%
806 1
 
0.5%
1691 1
 
0.5%
1808 1
 
0.5%
1877 1
 
0.5%
1920 1
 
0.5%
ValueCountFrequency (%)
29217 1
0.5%
18710 1
0.5%
16989 1
0.5%
14740 1
0.5%
13911 1
0.5%
10945 1
0.5%
10259 1
0.5%
9794 1
0.5%
9354 1
0.5%
8598 1
0.5%

처리 고형연료비성형생산량(톤)
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6468.8404
Minimum0
Maximum165894
Zeros136
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:32.327704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36590
95-th percentile26765
Maximum165894
Range165894
Interquartile range (IQR)6590

Descriptive statistics

Standard deviation17985.49
Coefficient of variation (CV)2.7803268
Kurtosis37.270111
Mean6468.8404
Median Absolute Deviation (MAD)0
Skewness5.459442
Sum1377863
Variance3.2347787 × 108
MonotonicityNot monotonic
2023-12-12T16:12:32.543972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 136
63.8%
165894 1
 
0.5%
40637 1
 
0.5%
8995 1
 
0.5%
48288 1
 
0.5%
7686 1
 
0.5%
7540 1
 
0.5%
4519 1
 
0.5%
6590 1
 
0.5%
2507 1
 
0.5%
Other values (68) 68
31.9%
ValueCountFrequency (%)
0 136
63.8%
118 1
 
0.5%
154 1
 
0.5%
275 1
 
0.5%
291 1
 
0.5%
312 1
 
0.5%
382 1
 
0.5%
385 1
 
0.5%
898 1
 
0.5%
1077 1
 
0.5%
ValueCountFrequency (%)
165894 1
0.5%
111330 1
0.5%
84549 1
0.5%
83993 1
0.5%
73566 1
0.5%
48288 1
0.5%
46810 1
0.5%
40637 1
0.5%
32013 1
0.5%
29012 1
0.5%

처리 바이오고형연료성형생산량(톤)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
211 
20075
 
1
13427
 
1

Length

Max length5
Median length1
Mean length1.0375587
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 211
99.1%
20075 1
 
0.5%
13427 1
 
0.5%

Length

2023-12-12T16:12:32.693271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:32.810627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 211
99.1%
20075 1
 
0.5%
13427 1
 
0.5%

처리 바이오고형연료비성형생산량(톤)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11879.38
Minimum0
Maximum194574
Zeros126
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:32.990906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312435
95-th percentile60783.6
Maximum194574
Range194574
Interquartile range (IQR)12435

Descriptive statistics

Standard deviation26454.072
Coefficient of variation (CV)2.2268899
Kurtosis17.120831
Mean11879.38
Median Absolute Deviation (MAD)0
Skewness3.7016551
Sum2530308
Variance6.9981791 × 108
MonotonicityNot monotonic
2023-12-12T16:12:33.176969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 126
59.2%
17525 1
 
0.5%
9627 1
 
0.5%
8793 1
 
0.5%
5452 1
 
0.5%
19304 1
 
0.5%
19164 1
 
0.5%
96452 1
 
0.5%
789 1
 
0.5%
32190 1
 
0.5%
Other values (78) 78
36.6%
ValueCountFrequency (%)
0 126
59.2%
53 1
 
0.5%
68 1
 
0.5%
789 1
 
0.5%
897 1
 
0.5%
1675 1
 
0.5%
1773 1
 
0.5%
1888 1
 
0.5%
2295 1
 
0.5%
2299 1
 
0.5%
ValueCountFrequency (%)
194574 1
0.5%
160880 1
0.5%
119737 1
0.5%
110434 1
0.5%
96452 1
0.5%
86200 1
0.5%
85028 1
0.5%
81842 1
0.5%
74814 1
0.5%
74647 1
0.5%

처리폐기물반출량(톤)
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
209 
12002
 
1
500
 
1
2266
 
1
233
 
1

Length

Max length5
Median length1
Mean length1.0516432
Min length1

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row0
2nd row0
3rd row0
4th row12002
5th row500

Common Values

ValueCountFrequency (%)
0 209
98.1%
12002 1
 
0.5%
500 1
 
0.5%
2266 1
 
0.5%
233 1
 
0.5%

Length

2023-12-12T16:12:33.347878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:33.475267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 209
98.1%
12002 1
 
0.5%
500 1
 
0.5%
2266 1
 
0.5%
233 1
 
0.5%

처리 고형연료성형폐기량(톤)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
211 
759
 
1
1063
 
1

Length

Max length4
Median length1
Mean length1.0234742
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 211
99.1%
759 1
 
0.5%
1063 1
 
0.5%

Length

2023-12-12T16:12:33.588689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:33.701461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 211
99.1%
759 1
 
0.5%
1063 1
 
0.5%

처리 고형연료비성형폐기량(톤)
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
210 
542
 
1
350
 
1
2269
 
1

Length

Max length4
Median length1
Mean length1.0328638
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 210
98.6%
542 1
 
0.5%
350 1
 
0.5%
2269 1
 
0.5%

Length

2023-12-12T16:12:33.818500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:33.944660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 210
98.6%
542 1
 
0.5%
350 1
 
0.5%
2269 1
 
0.5%

처리 바이오고형연료성형폐기량(톤)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
213 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 213
100.0%

Length

2023-12-12T16:12:34.076679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:34.185103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 213
100.0%

처리 바이오고형연료비성형폐기량(톤)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
212 
897
 
1

Length

Max length3
Median length1
Mean length1.0093897
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 212
99.5%
897 1
 
0.5%

Length

2023-12-12T16:12:34.307101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:34.435166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 212
99.5%
897 1
 
0.5%

처리폐기물반입량(톤)
Real number (ℝ)

ZEROS 

Distinct210
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23929.671
Minimum0
Maximum231463
Zeros4
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:34.548642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile349.6
Q15326
median12483
Q328085
95-th percentile92000
Maximum231463
Range231463
Interquartile range (IQR)22759

Descriptive statistics

Standard deviation33626.53
Coefficient of variation (CV)1.4052232
Kurtosis13.267239
Mean23929.671
Median Absolute Deviation (MAD)8710
Skewness3.2218808
Sum5097020
Variance1.1307435 × 109
MonotonicityNot monotonic
2023-12-12T16:12:34.679549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
1.9%
231463 1
 
0.5%
1797 1
 
0.5%
2673 1
 
0.5%
40492 1
 
0.5%
85404 1
 
0.5%
18157 1
 
0.5%
7343 1
 
0.5%
34425 1
 
0.5%
17082 1
 
0.5%
Other values (200) 200
93.9%
ValueCountFrequency (%)
0 4
1.9%
68 1
 
0.5%
74 1
 
0.5%
123 1
 
0.5%
194 1
 
0.5%
208 1
 
0.5%
322 1
 
0.5%
349 1
 
0.5%
350 1
 
0.5%
368 1
 
0.5%
ValueCountFrequency (%)
231463 1
0.5%
202372 1
0.5%
195977 1
0.5%
125851 1
0.5%
119737 1
0.5%
113134 1
0.5%
108351 1
0.5%
105224 1
0.5%
103812 1
0.5%
99753 1
0.5%

처리폐기물투입량(톤)
Real number (ℝ)

ZEROS 

Distinct208
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23288.512
Minimum0
Maximum233002
Zeros5
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:34.840645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile274.6
Q15421
median11795
Q326348
95-th percentile90300.8
Maximum233002
Range233002
Interquartile range (IQR)20927

Descriptive statistics

Standard deviation33345.58
Coefficient of variation (CV)1.4318467
Kurtosis14.195542
Mean23288.512
Median Absolute Deviation (MAD)8198
Skewness3.3450022
Sum4960453
Variance1.1119277 × 109
MonotonicityNot monotonic
2023-12-12T16:12:34.980154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
2.3%
5480 2
 
0.9%
233002 1
 
0.5%
1775 1
 
0.5%
40640 1
 
0.5%
85028 1
 
0.5%
18157 1
 
0.5%
7343 1
 
0.5%
34425 1
 
0.5%
17782 1
 
0.5%
Other values (198) 198
93.0%
ValueCountFrequency (%)
0 5
2.3%
68 1
 
0.5%
69 1
 
0.5%
96 1
 
0.5%
123 1
 
0.5%
157 1
 
0.5%
205 1
 
0.5%
321 1
 
0.5%
350 1
 
0.5%
386 1
 
0.5%
ValueCountFrequency (%)
233002 1
0.5%
201927 1
0.5%
196321 1
0.5%
121798 1
0.5%
119737 1
0.5%
113134 1
0.5%
110434 1
0.5%
105920 1
0.5%
104565 1
0.5%
99744 1
0.5%

처리폐기물수율(퍼센트)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
213 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 213
100.0%

Length

2023-12-12T16:12:35.112803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:35.199678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 213
100.0%

처리 고형연료성형생산수율(퍼센트)
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.31455
Minimum0
Maximum1200
Zeros160
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:35.300172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1152.2
Maximum1200
Range1200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation391.86689
Coefficient of variation (CV)1.9860009
Kurtosis1.3635903
Mean197.31455
Median Absolute Deviation (MAD)0
Skewness1.7413632
Sum42028
Variance153559.66
MonotonicityNot monotonic
2023-12-12T16:12:35.487806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 160
75.1%
1200 9
 
4.2%
1000 2
 
0.9%
840 2
 
0.9%
1080 1
 
0.5%
1166 1
 
0.5%
1141 1
 
0.5%
82 1
 
0.5%
491 1
 
0.5%
855 1
 
0.5%
Other values (34) 34
 
16.0%
ValueCountFrequency (%)
0 160
75.1%
32 1
 
0.5%
82 1
 
0.5%
171 1
 
0.5%
198 1
 
0.5%
200 1
 
0.5%
216 1
 
0.5%
237 1
 
0.5%
324 1
 
0.5%
355 1
 
0.5%
ValueCountFrequency (%)
1200 9
4.2%
1176 1
 
0.5%
1166 1
 
0.5%
1143 1
 
0.5%
1141 1
 
0.5%
1117 1
 
0.5%
1115 1
 
0.5%
1106 1
 
0.5%
1097 1
 
0.5%
1096 1
 
0.5%

처리 고형연료비성형생산수율(퍼센트)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.87793
Minimum0
Maximum1200
Zeros136
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:35.626682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3565
95-th percentile1193.6
Maximum1200
Range1200
Interquartile range (IQR)565

Descriptive statistics

Standard deviation438.89659
Coefficient of variation (CV)1.5140738
Kurtosis-0.45827791
Mean289.87793
Median Absolute Deviation (MAD)0
Skewness1.1007699
Sum61744
Variance192630.22
MonotonicityNot monotonic
2023-12-12T16:12:36.186362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 136
63.8%
1200 10
 
4.7%
800 3
 
1.4%
1100 2
 
0.9%
1169 1
 
0.5%
700 1
 
0.5%
499 1
 
0.5%
1003 1
 
0.5%
650 1
 
0.5%
858 1
 
0.5%
Other values (56) 56
26.3%
ValueCountFrequency (%)
0 136
63.8%
8 1
 
0.5%
53 1
 
0.5%
83 1
 
0.5%
141 1
 
0.5%
176 1
 
0.5%
197 1
 
0.5%
235 1
 
0.5%
299 1
 
0.5%
339 1
 
0.5%
ValueCountFrequency (%)
1200 10
4.7%
1196 1
 
0.5%
1192 1
 
0.5%
1189 1
 
0.5%
1187 1
 
0.5%
1183 1
 
0.5%
1169 1
 
0.5%
1159 1
 
0.5%
1151 1
 
0.5%
1149 1
 
0.5%

처리 바이오고형연료성형생산수율(퍼센트)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
211 
995
 
1
501
 
1

Length

Max length3
Median length1
Mean length1.0187793
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 211
99.1%
995 1
 
0.5%
501 1
 
0.5%

Length

2023-12-12T16:12:36.366245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:36.471610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 211
99.1%
995 1
 
0.5%
501 1
 
0.5%

처리 바이오고형연료비성형생산수율(퍼센트)
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean437.41784
Minimum0
Maximum1200
Zeros126
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:36.599482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31184
95-th percentile1200
Maximum1200
Range1200
Interquartile range (IQR)1184

Descriptive statistics

Standard deviation555.74903
Coefficient of variation (CV)1.2705221
Kurtosis-1.6541156
Mean437.41784
Median Absolute Deviation (MAD)0
Skewness0.5471446
Sum93170
Variance308856.98
MonotonicityNot monotonic
2023-12-12T16:12:36.760301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 126
59.2%
1200 34
 
16.0%
1197 4
 
1.9%
100 3
 
1.4%
1199 3
 
1.4%
1185 2
 
0.9%
1194 2
 
0.9%
1100 2
 
0.9%
1189 2
 
0.9%
1182 2
 
0.9%
Other values (31) 33
 
15.5%
ValueCountFrequency (%)
0 126
59.2%
100 3
 
1.4%
397 1
 
0.5%
400 1
 
0.5%
487 1
 
0.5%
492 1
 
0.5%
499 1
 
0.5%
500 1
 
0.5%
699 1
 
0.5%
795 1
 
0.5%
ValueCountFrequency (%)
1200 34
16.0%
1199 3
 
1.4%
1198 1
 
0.5%
1197 4
 
1.9%
1196 2
 
0.9%
1194 2
 
0.9%
1192 1
 
0.5%
1189 2
 
0.9%
1188 1
 
0.5%
1186 1
 
0.5%

판매 고형연료성형판매량(톤)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1473.3146
Minimum0
Maximum29284
Zeros161
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:36.950709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8018.8
Maximum29284
Range29284
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3630.2866
Coefficient of variation (CV)2.4640269
Kurtosis20.280981
Mean1473.3146
Median Absolute Deviation (MAD)0
Skewness3.8876477
Sum313816
Variance13178981
MonotonicityNot monotonic
2023-12-12T16:12:37.172946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
75.6%
1876 1
 
0.5%
4798 1
 
0.5%
2082 1
 
0.5%
4470 1
 
0.5%
3597 1
 
0.5%
3652 1
 
0.5%
13919 1
 
0.5%
3901 1
 
0.5%
4919 1
 
0.5%
Other values (43) 43
 
20.2%
ValueCountFrequency (%)
0 161
75.6%
96 1
 
0.5%
243 1
 
0.5%
326 1
 
0.5%
387 1
 
0.5%
1691 1
 
0.5%
1870 1
 
0.5%
1876 1
 
0.5%
1920 1
 
0.5%
2082 1
 
0.5%
ValueCountFrequency (%)
29284 1
0.5%
18710 1
0.5%
16989 1
0.5%
14629 1
0.5%
13919 1
0.5%
10939 1
0.5%
10259 1
0.5%
9794 1
0.5%
9427 1
0.5%
8695 1
0.5%

판매 고형연료비성형판매량(톤)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6411.7042
Minimum0
Maximum157226
Zeros135
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:37.352707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37054
95-th percentile26735.4
Maximum157226
Range157226
Interquartile range (IQR)7054

Descriptive statistics

Standard deviation17680.323
Coefficient of variation (CV)2.7575076
Kurtosis34.198775
Mean6411.7042
Median Absolute Deviation (MAD)0
Skewness5.2709433
Sum1365693
Variance3.1259382 × 108
MonotonicityNot monotonic
2023-12-12T16:12:37.530744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135
63.4%
157226 1
 
0.5%
2512 1
 
0.5%
7376 1
 
0.5%
48155 1
 
0.5%
7188 1
 
0.5%
111 1
 
0.5%
7467 1
 
0.5%
4519 1
 
0.5%
6788 1
 
0.5%
Other values (69) 69
32.4%
ValueCountFrequency (%)
0 135
63.4%
111 1
 
0.5%
151 1
 
0.5%
188 1
 
0.5%
275 1
 
0.5%
291 1
 
0.5%
297 1
 
0.5%
321 1
 
0.5%
382 1
 
0.5%
898 1
 
0.5%
ValueCountFrequency (%)
157226 1
0.5%
113165 1
0.5%
84549 1
0.5%
83993 1
0.5%
73566 1
0.5%
48155 1
0.5%
46810 1
0.5%
40637 1
0.5%
32013 1
0.5%
29004 1
0.5%

판매 바이오고형연료성형판매량(톤)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
211 
20026
 
1
14170
 
1

Length

Max length5
Median length1
Mean length1.0375587
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 211
99.1%
20026 1
 
0.5%
14170 1
 
0.5%

Length

2023-12-12T16:12:37.711440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:37.846016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 211
99.1%
20026 1
 
0.5%
14170 1
 
0.5%

판매 바이오고형연료비성형판매량(톤)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11907.183
Minimum0
Maximum192937
Zeros126
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:37.964667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312435
95-th percentile64759.8
Maximum192937
Range192937
Interquartile range (IQR)12435

Descriptive statistics

Standard deviation26406.827
Coefficient of variation (CV)2.2177225
Kurtosis16.549111
Mean11907.183
Median Absolute Deviation (MAD)0
Skewness3.6466849
Sum2536230
Variance6.9732053 × 108
MonotonicityNot monotonic
2023-12-12T16:12:38.111540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 126
59.2%
68 2
 
0.9%
9750 1
 
0.5%
5452 1
 
0.5%
19304 1
 
0.5%
19524 1
 
0.5%
96452 1
 
0.5%
789 1
 
0.5%
32174 1
 
0.5%
55356 1
 
0.5%
Other values (77) 77
36.2%
ValueCountFrequency (%)
0 126
59.2%
68 2
 
0.9%
789 1
 
0.5%
859 1
 
0.5%
1615 1
 
0.5%
1716 1
 
0.5%
1888 1
 
0.5%
2240 1
 
0.5%
2296 1
 
0.5%
2599 1
 
0.5%
ValueCountFrequency (%)
192937 1
0.5%
158147 1
0.5%
119737 1
0.5%
110434 1
0.5%
96452 1
0.5%
86233 1
0.5%
85028 1
0.5%
81842 1
0.5%
74814 1
0.5%
74647 1
0.5%

반입생활폐기물량(톤)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3955.4038
Minimum0
Maximum231463
Zeros197
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:38.261616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14804.6
Maximum231463
Range231463
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21628.882
Coefficient of variation (CV)5.4681856
Kurtosis65.948674
Mean3955.4038
Median Absolute Deviation (MAD)0
Skewness7.55068
Sum842501
Variance4.6780853 × 108
MonotonicityNot monotonic
2023-12-12T16:12:38.375078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 197
92.5%
231463 1
 
0.5%
24956 1
 
0.5%
103812 1
 
0.5%
99753 1
 
0.5%
105224 1
 
0.5%
25227 1
 
0.5%
24526 1
 
0.5%
31071 1
 
0.5%
4242 1
 
0.5%
Other values (7) 7
 
3.3%
ValueCountFrequency (%)
0 197
92.5%
1385 1
 
0.5%
4242 1
 
0.5%
5391 1
 
0.5%
13672 1
 
0.5%
13935 1
 
0.5%
16109 1
 
0.5%
24526 1
 
0.5%
24956 1
 
0.5%
25227 1
 
0.5%
ValueCountFrequency (%)
231463 1
0.5%
113134 1
0.5%
105224 1
0.5%
103812 1
0.5%
99753 1
0.5%
31071 1
0.5%
28601 1
0.5%
25227 1
0.5%
24956 1
0.5%
24526 1
0.5%

반입폐합성수지류량(톤)
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6732.7089
Minimum0
Maximum88984
Zeros109
Zeros (%)51.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:38.513391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38404
95-th percentile31712.2
Maximum88984
Range88984
Interquartile range (IQR)8404

Descriptive statistics

Standard deviation12530.964
Coefficient of variation (CV)1.8612069
Kurtosis12.000139
Mean6732.7089
Median Absolute Deviation (MAD)0
Skewness3.0583402
Sum1434067
Variance1.5702506 × 108
MonotonicityNot monotonic
2023-12-12T16:12:38.652951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
51.2%
9222 1
 
0.5%
7826 1
 
0.5%
1877 1
 
0.5%
23725 1
 
0.5%
3601 1
 
0.5%
14320 1
 
0.5%
5208 1
 
0.5%
123 1
 
0.5%
5274 1
 
0.5%
Other values (95) 95
44.6%
ValueCountFrequency (%)
0 109
51.2%
123 1
 
0.5%
208 1
 
0.5%
263 1
 
0.5%
349 1
 
0.5%
350 1
 
0.5%
368 1
 
0.5%
408 1
 
0.5%
439 1
 
0.5%
463 1
 
0.5%
ValueCountFrequency (%)
88984 1
0.5%
58168 1
0.5%
55743 1
0.5%
53971 1
0.5%
52205 1
0.5%
44410 1
0.5%
43030 1
0.5%
42363 1
0.5%
32013 1
0.5%
31970 1
0.5%

반입폐합성섬유류량(톤)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.652582
Minimum0
Maximum13039
Zeros208
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:38.809343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13039
Range13039
Interquartile range (IQR)0

Descriptive statistics

Standard deviation901.51891
Coefficient of variation (CV)12.240153
Kurtosis204.60336
Mean73.652582
Median Absolute Deviation (MAD)0
Skewness14.196219
Sum15688
Variance812736.34
MonotonicityNot monotonic
2023-12-12T16:12:38.914787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 208
97.7%
194 1
 
0.5%
322 1
 
0.5%
13039 1
 
0.5%
351 1
 
0.5%
1782 1
 
0.5%
ValueCountFrequency (%)
0 208
97.7%
194 1
 
0.5%
322 1
 
0.5%
351 1
 
0.5%
1782 1
 
0.5%
13039 1
 
0.5%
ValueCountFrequency (%)
13039 1
 
0.5%
1782 1
 
0.5%
351 1
 
0.5%
322 1
 
0.5%
194 1
 
0.5%
0 208
97.7%

반입폐고무류량(톤)
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
209 
315
 
1
48
 
1
90
 
1
23
 
1

Length

Max length3
Median length1
Mean length1.0234742
Min length1

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 209
98.1%
315 1
 
0.5%
48 1
 
0.5%
90 1
 
0.5%
23 1
 
0.5%

Length

2023-12-12T16:12:39.049856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:39.186871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 209
98.1%
315 1
 
0.5%
48 1
 
0.5%
90 1
 
0.5%
23 1
 
0.5%

반입폐타이어량(톤)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
211 
55368
 
1
125851
 
1

Length

Max length6
Median length1
Mean length1.0422535
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 211
99.1%
55368 1
 
0.5%
125851 1
 
0.5%

Length

2023-12-12T16:12:39.336818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:39.457827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 211
99.1%
55368 1
 
0.5%
125851 1
 
0.5%

반입폐지류량(톤)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
212 
51
 
1

Length

Max length2
Median length1
Mean length1.0046948
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 212
99.5%
51 1
 
0.5%

Length

2023-12-12T16:12:39.565103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:39.658595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 212
99.5%
51 1
 
0.5%

반입농업폐기물량(톤)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
213 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 213
100.0%

Length

2023-12-12T16:12:39.774620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:39.886581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 213
100.0%

반입폐목재류량(톤)
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12257.638
Minimum0
Maximum202372
Zeros123
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:12:39.999682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312676
95-th percentile62315.6
Maximum202372
Range202372
Interquartile range (IQR)12676

Descriptive statistics

Standard deviation27704.857
Coefficient of variation (CV)2.2602116
Kurtosis20.481451
Mean12257.638
Median Absolute Deviation (MAD)0
Skewness4.003954
Sum2610877
Variance7.6755909 × 108
MonotonicityNot monotonic
2023-12-12T16:12:40.137971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123
57.7%
31593 1
 
0.5%
8174 1
 
0.5%
5452 1
 
0.5%
19327 1
 
0.5%
31981 1
 
0.5%
96452 1
 
0.5%
5598 1
 
0.5%
10065 1
 
0.5%
30342 1
 
0.5%
Other values (81) 81
38.0%
ValueCountFrequency (%)
0 123
57.7%
68 1
 
0.5%
74 1
 
0.5%
97 1
 
0.5%
234 1
 
0.5%
906 1
 
0.5%
1765 1
 
0.5%
1797 1
 
0.5%
1888 1
 
0.5%
1890 1
 
0.5%
ValueCountFrequency (%)
202372 1
0.5%
195977 1
0.5%
119737 1
0.5%
108351 1
0.5%
96452 1
0.5%
86057 1
0.5%
85404 1
0.5%
80606 1
0.5%
74647 1
0.5%
72440 1
0.5%

반입식물성잔재물량(톤)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
212 
12141
 
1

Length

Max length5
Median length1
Mean length1.0187793
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 212
99.5%
12141 1
 
0.5%

Length

2023-12-12T16:12:40.274861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:40.390914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 212
99.5%
12141 1
 
0.5%

반입초본류폐기물량(톤)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
213 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 213
100.0%

Length

2023-12-12T16:12:40.512444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:12:40.607783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 213
100.0%

Sample

년도시설아이디처리 고형연료성형생산량(톤)처리 고형연료비성형생산량(톤)처리 바이오고형연료성형생산량(톤)처리 바이오고형연료비성형생산량(톤)처리폐기물반출량(톤)처리 고형연료성형폐기량(톤)처리 고형연료비성형폐기량(톤)처리 바이오고형연료성형폐기량(톤)처리 바이오고형연료비성형폐기량(톤)처리폐기물반입량(톤)처리폐기물투입량(톤)처리폐기물수율(퍼센트)처리 고형연료성형생산수율(퍼센트)처리 고형연료비성형생산수율(퍼센트)처리 바이오고형연료성형생산수율(퍼센트)처리 바이오고형연료비성형생산수율(퍼센트)판매 고형연료성형판매량(톤)판매 고형연료비성형판매량(톤)판매 바이오고형연료성형판매량(톤)판매 바이오고형연료비성형판매량(톤)반입생활폐기물량(톤)반입폐합성수지류량(톤)반입폐합성섬유류량(톤)반입폐고무류량(톤)반입폐타이어량(톤)반입폐지류량(톤)반입농업폐기물량(톤)반입폐목재류량(톤)반입식물성잔재물량(톤)반입초본류폐기물량(톤)
020225264402002016589400000002314632330020084800015722600231463000000000
1202252771020010845490000000113134113134008940008454900113134000000000
22022528260200126750000000056915726032400026750001385430600000000
32022536110300226850001200200002925617092019800026880002860165500000000
4202254119030035980000500000016109158800448000598000016109000000000
520225412102001169100000000202920290100000016910000202900000000
6202254145030012050000000020820501000000243000020800000000
72022542130300253630000000013672128220502000468100013672000000000
82022542130300360300000000013935139350526000591500013935000000000
92022545730300219200000000053915421042600019200005391000000000
년도시설아이디처리 고형연료성형생산량(톤)처리 고형연료비성형생산량(톤)처리 바이오고형연료성형생산량(톤)처리 바이오고형연료비성형생산량(톤)처리폐기물반출량(톤)처리 고형연료성형폐기량(톤)처리 고형연료비성형폐기량(톤)처리 바이오고형연료성형폐기량(톤)처리 바이오고형연료비성형폐기량(톤)처리폐기물반입량(톤)처리폐기물투입량(톤)처리폐기물수율(퍼센트)처리 고형연료성형생산수율(퍼센트)처리 고형연료비성형생산수율(퍼센트)처리 바이오고형연료성형생산수율(퍼센트)처리 바이오고형연료비성형생산수율(퍼센트)판매 고형연료성형판매량(톤)판매 고형연료비성형판매량(톤)판매 바이오고형연료성형판매량(톤)판매 바이오고형연료비성형판매량(톤)반입생활폐기물량(톤)반입폐합성수지류량(톤)반입폐합성섬유류량(톤)반입폐고무류량(톤)반입폐타이어량(톤)반입폐지류량(톤)반입농업폐기물량(톤)반입폐목재류량(톤)반입식물성잔재물량(톤)반입초본류폐기물량(톤)
20320228478505002000470500000489747050000120000047050000000489700
204202284824050010002227000000283272795400009600002231000000002832700
20520228482505001000124350000099271254800001189000124350000000992700
2062022848250500200020365000002030120401000011970002032500000002030100
2072022848250500400036280000003660436280000012000003626000000003660400
20820228482505005000265800000265826580000120000026580000000265800
209202284873050010001104340000010835111043400001200000110434000000010835100
2102022848730500300010880000001056910880000012000001082700000001056900
21120228488905001000703900000701871060000118800070850000000701800
212202285013050020001333000008971340713789000011310001264200000001340700