Overview

Dataset statistics

Number of variables22
Number of observations27
Missing cells270
Missing cells (%)45.5%
Duplicate rows1
Duplicate rows (%)3.7%
Total size in memory5.3 KiB
Average record size in memory201.9 B

Variable types

Numeric18
Categorical4

Dataset

Description폐자원에너지인 고형연료제품을 사용하는 사용시설에서 고형연료제품 종료별로 (SRF,BIO-SRF) 공급받은 양과 실제 사용되어지는 월별 사용량
URLhttps://www.data.go.kr/data/15090842/fileData.do

Alerts

Dataset has 1 (3.7%) duplicate rowsDuplicates
2022년 월 has 15 (55.6%) missing valuesMissing
처리 고형연료성형 투입량 has 15 (55.6%) missing valuesMissing
처리 고형연료비성형 투입량 has 15 (55.6%) missing valuesMissing
처리 바이오고형연료성형 투입량 has 15 (55.6%) missing valuesMissing
처리 바이오고형연료비성형 투입량 has 15 (55.6%) missing valuesMissing
처리 고형연료성형 공급량 has 15 (55.6%) missing valuesMissing
처리 고형연료비성형 공급량 has 15 (55.6%) missing valuesMissing
처리 바이오고형연료성형 공급량 has 15 (55.6%) missing valuesMissing
처리 바이오고형연료비성형 공급량 has 15 (55.6%) missing valuesMissing
판매발전판매량 has 15 (55.6%) missing valuesMissing
판매스팀판매량 has 15 (55.6%) missing valuesMissing
소각생산량 has 15 (55.6%) missing valuesMissing
소각스팀생산량 has 15 (55.6%) missing valuesMissing
소각전기생산량 has 15 (55.6%) missing valuesMissing
반입고형연료성형인수량 has 15 (55.6%) missing valuesMissing
반입고형연료비성형인수량 has 15 (55.6%) missing valuesMissing
반입바이오고형연료성형인수량 has 15 (55.6%) missing valuesMissing
반입바이오고형연료비성형인수량 has 15 (55.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:36:41.331196
Analysis finished2023-12-12 09:36:41.546595
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2022년 월
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:41.595725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13.75
median6.5
Q39.25
95-th percentile11.45
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.6055513
Coefficient of variation (CV)0.5547002
Kurtosis-1.2
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum78
Variance13
MonotonicityStrictly increasing
2023-12-12T18:36:41.697438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
3 1
 
3.7%
4 1
 
3.7%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
10 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
12 1
3.7%
11 1
3.7%
10 1
3.7%
9 1
3.7%
8 1
3.7%
7 1
3.7%
6 1
3.7%
5 1
3.7%
4 1
3.7%
3 1
3.7%

사용단위
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
무게(톤)
12 

Length

Max length5
Median length4
Mean length4.4444444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무게(톤)
2nd row무게(톤)
3rd row무게(톤)
4th row무게(톤)
5th row무게(톤)

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
무게(톤) 12
44.4%

Length

2023-12-12T18:36:41.818444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:36:41.912775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
무게(톤 12
44.4%

처리 고형연료성형 투입량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean26285.833
Minimum24546
Maximum29708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:41.999059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24546
5-th percentile24574.05
Q124934.5
median25446
Q327795.75
95-th percentile28910.5
Maximum29708
Range5162
Interquartile range (IQR)2861.25

Descriptive statistics

Standard deviation1738.1276
Coefficient of variation (CV)0.066124119
Kurtosis-0.67087998
Mean26285.833
Median Absolute Deviation (MAD)874.5
Skewness0.82106956
Sum315430
Variance3021087.4
MonotonicityNot monotonic
2023-12-12T18:36:42.110115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
26525 1
 
3.7%
24935 1
 
3.7%
24546 1
 
3.7%
25514 1
 
3.7%
24933 1
 
3.7%
25378 1
 
3.7%
25201 1
 
3.7%
27674 1
 
3.7%
28258 1
 
3.7%
24597 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
24546 1
3.7%
24597 1
3.7%
24933 1
3.7%
24935 1
3.7%
25201 1
3.7%
25378 1
3.7%
25514 1
3.7%
26525 1
3.7%
27674 1
3.7%
28161 1
3.7%
ValueCountFrequency (%)
29708 1
3.7%
28258 1
3.7%
28161 1
3.7%
27674 1
3.7%
26525 1
3.7%
25514 1
3.7%
25378 1
3.7%
25201 1
3.7%
24935 1
3.7%
24933 1
3.7%

처리 고형연료비성형 투입량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean112454
Minimum103606
Maximum121671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:42.203895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103606
5-th percentile104114.2
Q1107923.25
median110286
Q3119565.75
95-th percentile120792.1
Maximum121671
Range18065
Interquartile range (IQR)11642.5

Descriptive statistics

Standard deviation6449.5434
Coefficient of variation (CV)0.057352725
Kurtosis-1.5774094
Mean112454
Median Absolute Deviation (MAD)5280
Skewness0.20808158
Sum1349448
Variance41596610
MonotonicityNot monotonic
2023-12-12T18:36:42.313928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
121671 1
 
3.7%
111258 1
 
3.7%
107852 1
 
3.7%
109314 1
 
3.7%
104530 1
 
3.7%
103606 1
 
3.7%
119554 1
 
3.7%
107947 1
 
3.7%
108952 1
 
3.7%
120073 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
103606 1
3.7%
104530 1
3.7%
107852 1
3.7%
107947 1
3.7%
108952 1
3.7%
109314 1
3.7%
111258 1
3.7%
115090 1
3.7%
119554 1
3.7%
119601 1
3.7%
ValueCountFrequency (%)
121671 1
3.7%
120073 1
3.7%
119601 1
3.7%
119554 1
3.7%
115090 1
3.7%
111258 1
3.7%
109314 1
3.7%
108952 1
3.7%
107947 1
3.7%
107852 1
3.7%
Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean3409.5
Minimum1510
Maximum8706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:42.452147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1510
5-th percentile1658.5
Q11828.25
median3606
Q33893.25
95-th percentile6265.65
Maximum8706
Range7196
Interquartile range (IQR)2065

Descriptive statistics

Standard deviation1960.5025
Coefficient of variation (CV)0.57501173
Kurtosis4.7404795
Mean3409.5
Median Absolute Deviation (MAD)1030
Skewness1.8618285
Sum40914
Variance3843570.1
MonotonicityNot monotonic
2023-12-12T18:36:42.573323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8706 1
 
3.7%
1780 1
 
3.7%
2209 1
 
3.7%
4269 1
 
3.7%
3790 1
 
3.7%
3479 1
 
3.7%
3909 1
 
3.7%
3888 1
 
3.7%
3733 1
 
3.7%
1805 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
1510 1
3.7%
1780 1
3.7%
1805 1
3.7%
1836 1
3.7%
2209 1
3.7%
3479 1
3.7%
3733 1
3.7%
3790 1
3.7%
3888 1
3.7%
3909 1
3.7%
ValueCountFrequency (%)
8706 1
3.7%
4269 1
3.7%
3909 1
3.7%
3888 1
3.7%
3790 1
3.7%
3733 1
3.7%
3479 1
3.7%
2209 1
3.7%
1836 1
3.7%
1805 1
3.7%
Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean237405.75
Minimum202364
Maximum254451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:42.677659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202364
5-th percentile213378.3
Q1231124.75
median240993
Q3247891
95-th percentile252607.95
Maximum254451
Range52087
Interquartile range (IQR)16766.25

Descriptive statistics

Standard deviation14757.674
Coefficient of variation (CV)0.062162245
Kurtosis1.693116
Mean237405.75
Median Absolute Deviation (MAD)8110
Skewness-1.2585833
Sum2848869
Variance2.1778895 × 108
MonotonicityNot monotonic
2023-12-12T18:36:42.804966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
232595 1
 
3.7%
238879 1
 
3.7%
247583 1
 
3.7%
202364 1
 
3.7%
243107 1
 
3.7%
222390 1
 
3.7%
248815 1
 
3.7%
244906 1
 
3.7%
226714 1
 
3.7%
235965 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
202364 1
3.7%
222390 1
3.7%
226714 1
3.7%
232595 1
3.7%
235965 1
3.7%
238879 1
3.7%
243107 1
3.7%
244906 1
3.7%
247583 1
3.7%
248815 1
3.7%
ValueCountFrequency (%)
254451 1
3.7%
251100 1
3.7%
248815 1
3.7%
247583 1
3.7%
244906 1
3.7%
243107 1
3.7%
238879 1
3.7%
235965 1
3.7%
232595 1
3.7%
226714 1
3.7%

처리 고형연료성형 공급량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean26437.667
Minimum24120
Maximum30243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:42.909636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24120
5-th percentile24291.6
Q124677
median26099
Q327720.25
95-th percentile29579.15
Maximum30243
Range6123
Interquartile range (IQR)3043.25

Descriptive statistics

Standard deviation2030.1819
Coefficient of variation (CV)0.076791267
Kurtosis-0.83978809
Mean26437.667
Median Absolute Deviation (MAD)1490.5
Skewness0.59355189
Sum317252
Variance4121638.6
MonotonicityNot monotonic
2023-12-12T18:36:43.037734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
27163 1
 
3.7%
24512 1
 
3.7%
25917 1
 
3.7%
24921 1
 
3.7%
24732 1
 
3.7%
26281 1
 
3.7%
24432 1
 
3.7%
29036 1
 
3.7%
28402 1
 
3.7%
24120 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
24120 1
3.7%
24432 1
3.7%
24512 1
3.7%
24732 1
3.7%
24921 1
3.7%
25917 1
3.7%
26281 1
3.7%
27163 1
3.7%
27493 1
3.7%
28402 1
3.7%
ValueCountFrequency (%)
30243 1
3.7%
29036 1
3.7%
28402 1
3.7%
27493 1
3.7%
27163 1
3.7%
26281 1
3.7%
25917 1
3.7%
24921 1
3.7%
24732 1
3.7%
24512 1
3.7%

처리 고형연료비성형 공급량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean113962.58
Minimum103920
Maximum122555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:43.242089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103920
5-th percentile106051.8
Q1110529
median112848
Q3118262.75
95-th percentile121249.85
Maximum122555
Range18635
Interquartile range (IQR)7733.75

Descriptive statistics

Standard deviation5662.1583
Coefficient of variation (CV)0.049684362
Kurtosis-0.8358484
Mean113962.58
Median Absolute Deviation (MAD)4762.5
Skewness-0.11639721
Sum1367551
Variance32060036
MonotonicityNot monotonic
2023-12-12T18:36:43.384097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
122555 1
 
3.7%
113178 1
 
3.7%
111922 1
 
3.7%
112518 1
 
3.7%
103920 1
 
3.7%
107796 1
 
3.7%
117674 1
 
3.7%
110943 1
 
3.7%
109287 1
 
3.7%
120182 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
103920 1
3.7%
107796 1
3.7%
109287 1
3.7%
110943 1
3.7%
111922 1
3.7%
112518 1
3.7%
113178 1
3.7%
117547 1
3.7%
117674 1
3.7%
120029 1
3.7%
ValueCountFrequency (%)
122555 1
3.7%
120182 1
3.7%
120029 1
3.7%
117674 1
3.7%
117547 1
3.7%
113178 1
3.7%
112518 1
3.7%
111922 1
3.7%
110943 1
3.7%
109287 1
3.7%
Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean4022.25
Minimum1780
Maximum8706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:43.494838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1780
5-th percentile2015.95
Q13337.5
median3811.5
Q34059.75
95-th percentile7006.5
Maximum8706
Range6926
Interquartile range (IQR)722.25

Descriptive statistics

Standard deviation1773.6797
Coefficient of variation (CV)0.44096704
Kurtosis4.3319499
Mean4022.25
Median Absolute Deviation (MAD)424
Skewness1.7209304
Sum48267
Variance3145939.7
MonotonicityNot monotonic
2023-12-12T18:36:43.606888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8706 1
 
3.7%
1780 1
 
3.7%
2209 1
 
3.7%
4326 1
 
3.7%
3734 1
 
3.7%
3478 1
 
3.7%
3909 1
 
3.7%
3889 1
 
3.7%
3733 1
 
3.7%
5616 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
1780 1
3.7%
2209 1
3.7%
2916 1
3.7%
3478 1
3.7%
3733 1
3.7%
3734 1
3.7%
3889 1
3.7%
3909 1
3.7%
3971 1
3.7%
4326 1
3.7%
ValueCountFrequency (%)
8706 1
3.7%
5616 1
3.7%
4326 1
3.7%
3971 1
3.7%
3909 1
3.7%
3889 1
3.7%
3734 1
3.7%
3733 1
3.7%
3478 1
3.7%
2916 1
3.7%
Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean235840.5
Minimum205926
Maximum251261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:43.721136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205926
5-th percentile214854.15
Q1231366.25
median233776
Q3246699.5
95-th percentile251103.15
Maximum251261
Range45335
Interquartile range (IQR)15333.25

Descriptive statistics

Standard deviation13177.772
Coefficient of variation (CV)0.055875781
Kurtosis1.0788081
Mean235840.5
Median Absolute Deviation (MAD)10670.5
Skewness-0.9240645
Sum2830086
Variance1.7365368 × 108
MonotonicityNot monotonic
2023-12-12T18:36:43.849664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
233709 1
 
3.7%
233843 1
 
3.7%
246980 1
 
3.7%
205926 1
 
3.7%
243500 1
 
3.7%
222159 1
 
3.7%
231644 1
 
3.7%
246606 1
 
3.7%
230533 1
 
3.7%
232951 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
205926 1
3.7%
222159 1
3.7%
230533 1
3.7%
231644 1
3.7%
232951 1
3.7%
233709 1
3.7%
233843 1
3.7%
243500 1
3.7%
246606 1
3.7%
246980 1
3.7%
ValueCountFrequency (%)
251261 1
3.7%
250974 1
3.7%
246980 1
3.7%
246606 1
3.7%
243500 1
3.7%
233843 1
3.7%
233709 1
3.7%
232951 1
3.7%
231644 1
3.7%
230533 1
3.7%

판매판매량
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
0
12 

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
0 12
44.4%

Length

2023-12-12T18:36:43.969672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:36:44.079356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
0 12
44.4%

판매발전판매량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean103005.5
Minimum75426
Maximum172920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:44.169218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75426
5-th percentile77906.5
Q187667
median91644
Q3100846.25
95-th percentile166629.1
Maximum172920
Range97494
Interquartile range (IQR)13179.25

Descriptive statistics

Standard deviation31174.651
Coefficient of variation (CV)0.30265035
Kurtosis2.0865425
Mean103005.5
Median Absolute Deviation (MAD)7141.5
Skewness1.7751174
Sum1236066
Variance9.7185887 × 108
MonotonicityNot monotonic
2023-12-12T18:36:44.545762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
106481 1
 
3.7%
92529 1
 
3.7%
90759 1
 
3.7%
79936 1
 
3.7%
84685 1
 
3.7%
88710 1
 
3.7%
98968 1
 
3.7%
88661 1
 
3.7%
75426 1
 
3.7%
95509 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
75426 1
3.7%
79936 1
3.7%
84685 1
3.7%
88661 1
3.7%
88710 1
3.7%
90759 1
3.7%
92529 1
3.7%
95509 1
3.7%
98968 1
3.7%
106481 1
3.7%
ValueCountFrequency (%)
172920 1
3.7%
161482 1
3.7%
106481 1
3.7%
98968 1
3.7%
95509 1
3.7%
92529 1
3.7%
90759 1
3.7%
88710 1
3.7%
88661 1
3.7%
84685 1
3.7%

판매스팀판매량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean516149.17
Minimum471755
Maximum593541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:44.634826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum471755
5-th percentile476410.2
Q1489749.75
median516676
Q3532257
95-th percentile565310.6
Maximum593541
Range121786
Interquartile range (IQR)42507.25

Descriptive statistics

Standard deviation33985.368
Coefficient of variation (CV)0.065844082
Kurtosis1.1585871
Mean516149.17
Median Absolute Deviation (MAD)24700.5
Skewness0.86897289
Sum6193790
Variance1.1550053 × 109
MonotonicityNot monotonic
2023-12-12T18:36:44.740197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
514254 1
 
3.7%
541506 1
 
3.7%
593541 1
 
3.7%
529174 1
 
3.7%
519098 1
 
3.7%
480219 1
 
3.7%
482684 1
 
3.7%
471755 1
 
3.7%
502696 1
 
3.7%
492105 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
471755 1
3.7%
480219 1
3.7%
482684 1
3.7%
492105 1
3.7%
502696 1
3.7%
514254 1
3.7%
519098 1
3.7%
524545 1
3.7%
529174 1
3.7%
541506 1
3.7%
ValueCountFrequency (%)
593541 1
3.7%
542213 1
3.7%
541506 1
3.7%
529174 1
3.7%
524545 1
3.7%
519098 1
3.7%
514254 1
3.7%
502696 1
3.7%
492105 1
3.7%
482684 1
3.7%

소각생산량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean1438029.2
Minimum1291222
Maximum1583350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:44.852733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1291222
5-th percentile1291954.6
Q11405302.5
median1446184
Q31480088.8
95-th percentile1558816.1
Maximum1583350
Range292128
Interquartile range (IQR)74786.25

Descriptive statistics

Standard deviation87331.537
Coefficient of variation (CV)0.060730015
Kurtosis-0.0023118159
Mean1438029.2
Median Absolute Deviation (MAD)35251.5
Skewness-0.36582799
Sum17256351
Variance7.6267974 × 109
MonotonicityNot monotonic
2023-12-12T18:36:44.955947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1583350 1
 
3.7%
1456353 1
 
3.7%
1538743 1
 
3.7%
1470605 1
 
3.7%
1436015 1
 
3.7%
1291222 1
 
3.7%
1435670 1
 
3.7%
1372847 1
 
3.7%
1292554 1
 
3.7%
1416121 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
1291222 1
3.7%
1292554 1
3.7%
1372847 1
3.7%
1416121 1
3.7%
1435670 1
3.7%
1436015 1
3.7%
1456353 1
3.7%
1470605 1
3.7%
1478742 1
3.7%
1484129 1
3.7%
ValueCountFrequency (%)
1583350 1
3.7%
1538743 1
3.7%
1484129 1
3.7%
1478742 1
3.7%
1470605 1
3.7%
1456353 1
3.7%
1436015 1
3.7%
1435670 1
3.7%
1416121 1
3.7%
1372847 1
3.7%

소각사용량
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
0
12 

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
0 12
44.4%

Length

2023-12-12T18:36:45.071845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:36:45.176908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
0 12
44.4%

소각스팀생산량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean1438029.2
Minimum1291222
Maximum1583350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:45.277516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1291222
5-th percentile1291954.6
Q11405302.5
median1446184
Q31480088.8
95-th percentile1558816.1
Maximum1583350
Range292128
Interquartile range (IQR)74786.25

Descriptive statistics

Standard deviation87331.537
Coefficient of variation (CV)0.060730015
Kurtosis-0.0023118159
Mean1438029.2
Median Absolute Deviation (MAD)35251.5
Skewness-0.36582799
Sum17256351
Variance7.6267974 × 109
MonotonicityNot monotonic
2023-12-12T18:36:45.392380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1583350 1
 
3.7%
1456353 1
 
3.7%
1538743 1
 
3.7%
1470605 1
 
3.7%
1436015 1
 
3.7%
1291222 1
 
3.7%
1435670 1
 
3.7%
1372847 1
 
3.7%
1292554 1
 
3.7%
1416121 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
1291222 1
3.7%
1292554 1
3.7%
1372847 1
3.7%
1416121 1
3.7%
1435670 1
3.7%
1436015 1
3.7%
1456353 1
3.7%
1470605 1
3.7%
1478742 1
3.7%
1484129 1
3.7%
ValueCountFrequency (%)
1583350 1
3.7%
1538743 1
3.7%
1484129 1
3.7%
1478742 1
3.7%
1470605 1
3.7%
1456353 1
3.7%
1436015 1
3.7%
1435670 1
3.7%
1416121 1
3.7%
1372847 1
3.7%

소각전기생산량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean259885.83
Minimum211346
Maximum286873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:45.521035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211346
5-th percentile233904.25
Q1256871.25
median261965.5
Q3264660
95-th percentile282299.2
Maximum286873
Range75527
Interquartile range (IQR)7788.75

Descriptive statistics

Standard deviation18083.03
Coefficient of variation (CV)0.069580667
Kurtosis5.1163918
Mean259885.83
Median Absolute Deviation (MAD)3863
Skewness-1.6313059
Sum3118630
Variance3.2699596 × 108
MonotonicityNot monotonic
2023-12-12T18:36:45.642623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
259318 1
 
3.7%
265263 1
 
3.7%
252361 1
 
3.7%
211346 1
 
3.7%
262035 1
 
3.7%
264111 1
 
3.7%
286873 1
 
3.7%
261896 1
 
3.7%
254874 1
 
3.7%
257537 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
211346 1
3.7%
252361 1
3.7%
254874 1
3.7%
257537 1
3.7%
259318 1
3.7%
261896 1
3.7%
262035 1
3.7%
264111 1
3.7%
264459 1
3.7%
265263 1
3.7%
ValueCountFrequency (%)
286873 1
3.7%
278557 1
3.7%
265263 1
3.7%
264459 1
3.7%
264111 1
3.7%
262035 1
3.7%
261896 1
3.7%
259318 1
3.7%
257537 1
3.7%
254874 1
3.7%
Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
0
12 

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
0 12
44.4%

Length

2023-12-12T18:36:45.777009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:36:45.885706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
0 12
44.4%

반입고형연료성형인수량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean26437.667
Minimum24120
Maximum30243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:45.973299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24120
5-th percentile24291.6
Q124677
median26099
Q327720.25
95-th percentile29579.15
Maximum30243
Range6123
Interquartile range (IQR)3043.25

Descriptive statistics

Standard deviation2030.1819
Coefficient of variation (CV)0.076791267
Kurtosis-0.83978809
Mean26437.667
Median Absolute Deviation (MAD)1490.5
Skewness0.59355189
Sum317252
Variance4121638.6
MonotonicityNot monotonic
2023-12-12T18:36:46.092288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
27163 1
 
3.7%
24512 1
 
3.7%
25917 1
 
3.7%
24921 1
 
3.7%
24732 1
 
3.7%
26281 1
 
3.7%
24432 1
 
3.7%
29036 1
 
3.7%
28402 1
 
3.7%
24120 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
24120 1
3.7%
24432 1
3.7%
24512 1
3.7%
24732 1
3.7%
24921 1
3.7%
25917 1
3.7%
26281 1
3.7%
27163 1
3.7%
27493 1
3.7%
28402 1
3.7%
ValueCountFrequency (%)
30243 1
3.7%
29036 1
3.7%
28402 1
3.7%
27493 1
3.7%
27163 1
3.7%
26281 1
3.7%
25917 1
3.7%
24921 1
3.7%
24732 1
3.7%
24512 1
3.7%

반입고형연료비성형인수량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean113962.58
Minimum103920
Maximum122555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:46.251790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103920
5-th percentile106051.8
Q1110529
median112848
Q3118262.75
95-th percentile121249.85
Maximum122555
Range18635
Interquartile range (IQR)7733.75

Descriptive statistics

Standard deviation5662.1583
Coefficient of variation (CV)0.049684362
Kurtosis-0.8358484
Mean113962.58
Median Absolute Deviation (MAD)4762.5
Skewness-0.11639721
Sum1367551
Variance32060036
MonotonicityNot monotonic
2023-12-12T18:36:46.382078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
122555 1
 
3.7%
113178 1
 
3.7%
111922 1
 
3.7%
112518 1
 
3.7%
103920 1
 
3.7%
107796 1
 
3.7%
117674 1
 
3.7%
110943 1
 
3.7%
109287 1
 
3.7%
120182 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
103920 1
3.7%
107796 1
3.7%
109287 1
3.7%
110943 1
3.7%
111922 1
3.7%
112518 1
3.7%
113178 1
3.7%
117547 1
3.7%
117674 1
3.7%
120029 1
3.7%
ValueCountFrequency (%)
122555 1
3.7%
120182 1
3.7%
120029 1
3.7%
117674 1
3.7%
117547 1
3.7%
113178 1
3.7%
112518 1
3.7%
111922 1
3.7%
110943 1
3.7%
109287 1
3.7%
Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean4022.25
Minimum1780
Maximum8706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:46.502481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1780
5-th percentile2015.95
Q13337.5
median3811.5
Q34059.75
95-th percentile7006.5
Maximum8706
Range6926
Interquartile range (IQR)722.25

Descriptive statistics

Standard deviation1773.6797
Coefficient of variation (CV)0.44096704
Kurtosis4.3319499
Mean4022.25
Median Absolute Deviation (MAD)424
Skewness1.7209304
Sum48267
Variance3145939.7
MonotonicityNot monotonic
2023-12-12T18:36:46.623748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8706 1
 
3.7%
1780 1
 
3.7%
2209 1
 
3.7%
4326 1
 
3.7%
3734 1
 
3.7%
3478 1
 
3.7%
3909 1
 
3.7%
3889 1
 
3.7%
3733 1
 
3.7%
5616 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
1780 1
3.7%
2209 1
3.7%
2916 1
3.7%
3478 1
3.7%
3733 1
3.7%
3734 1
3.7%
3889 1
3.7%
3909 1
3.7%
3971 1
3.7%
4326 1
3.7%
ValueCountFrequency (%)
8706 1
3.7%
5616 1
3.7%
4326 1
3.7%
3971 1
3.7%
3909 1
3.7%
3889 1
3.7%
3734 1
3.7%
3733 1
3.7%
3478 1
3.7%
2916 1
3.7%
Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean235840.5
Minimum205926
Maximum251261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:36:46.742846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205926
5-th percentile214854.15
Q1231366.25
median233776
Q3246699.5
95-th percentile251103.15
Maximum251261
Range45335
Interquartile range (IQR)15333.25

Descriptive statistics

Standard deviation13177.772
Coefficient of variation (CV)0.055875781
Kurtosis1.0788081
Mean235840.5
Median Absolute Deviation (MAD)10670.5
Skewness-0.9240645
Sum2830086
Variance1.7365368 × 108
MonotonicityNot monotonic
2023-12-12T18:36:46.871633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
233709 1
 
3.7%
233843 1
 
3.7%
246980 1
 
3.7%
205926 1
 
3.7%
243500 1
 
3.7%
222159 1
 
3.7%
231644 1
 
3.7%
246606 1
 
3.7%
230533 1
 
3.7%
232951 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 15
55.6%
ValueCountFrequency (%)
205926 1
3.7%
222159 1
3.7%
230533 1
3.7%
231644 1
3.7%
232951 1
3.7%
233709 1
3.7%
233843 1
3.7%
243500 1
3.7%
246606 1
3.7%
246980 1
3.7%
ValueCountFrequency (%)
251261 1
3.7%
250974 1
3.7%
246980 1
3.7%
246606 1
3.7%
243500 1
3.7%
233843 1
3.7%
233709 1
3.7%
232951 1
3.7%
231644 1
3.7%
230533 1
3.7%

Sample

2022년 월사용단위처리 고형연료성형 투입량처리 고형연료비성형 투입량처리 바이오고형연료성형 투입량처리 바이오고형연료비성형 투입량처리 고형연료성형 공급량처리 고형연료비성형 공급량처리 바이오고형연료성형 공급량처리 바이오고형연료비성형 공급량판매판매량판매발전판매량판매스팀판매량소각생산량소각사용량소각스팀생산량소각전기생산량소각생산수율반입고형연료성형인수량반입고형연료비성형인수량반입바이오고형연료성형인수량반입바이오고형연료비성형인수량
01무게(톤)26525121671870623259527163122555870623370901064815142541583350015833502593180271631225558706233709
12무게(톤)2493511125817802388792451211317817802338430925295415061456353014563532652630245121131781780233843
23무게(톤)2454610785222092475832591711192222092469800907595935411538743015387432523610259171119222209246980
34무게(톤)2551410931442692023642492111251843262059260799365291741470605014706052113460249211125184326205926
45무게(톤)2493310453037902431072473210392037342435000846855190981436015014360152620350247321039203734243500
56무게(톤)2537810360634792223902628110779634782221590887104802191291222012912222641110262811077963478222159
67무게(톤)2520111955439092488152443211767439092316440989684826841435670014356702868730244321176743909231644
78무게(톤)2767410794738882449062903611094338892466060886614717551372847013728472618960290361109433889246606
89무게(톤)2825810895237332267142840210928737332305330754265026961292554012925542548740284021092873733230533
910무게(톤)2459712007318052359652412012018256162329510955094921051416121014161212575370241201201825616232951
2022년 월사용단위처리 고형연료성형 투입량처리 고형연료비성형 투입량처리 바이오고형연료성형 투입량처리 바이오고형연료비성형 투입량처리 고형연료성형 공급량처리 고형연료비성형 공급량처리 바이오고형연료성형 공급량처리 바이오고형연료비성형 공급량판매판매량판매발전판매량판매스팀판매량소각생산량소각사용량소각스팀생산량소각전기생산량소각생산수율반입고형연료성형인수량반입고형연료비성형인수량반입바이오고형연료성형인수량반입바이오고형연료비성형인수량
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Duplicate rows

Most frequently occurring

2022년 월사용단위처리 고형연료성형 투입량처리 고형연료비성형 투입량처리 바이오고형연료성형 투입량처리 바이오고형연료비성형 투입량처리 고형연료성형 공급량처리 고형연료비성형 공급량처리 바이오고형연료성형 공급량처리 바이오고형연료비성형 공급량판매판매량판매발전판매량판매스팀판매량소각생산량소각사용량소각스팀생산량소각전기생산량소각생산수율반입고형연료성형인수량반입고형연료비성형인수량반입바이오고형연료성형인수량반입바이오고형연료비성형인수량# duplicates
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