Overview

Dataset statistics

Number of variables6
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory54.1 B

Variable types

DateTime1
Numeric5

Dataset

Description한국서부발전의 유연탄 발전 연소 후 발생하는 석탄회의 발생량 및 재활용량 정보입니다. 제공데이터는 년월,석탄회발생량(톤) Fly Ash,석탄회발생량(톤) Bottom Ash,석탄회 재활용량(톤) 정제회,잔사회,석탄회 재활용량(톤) 매립회입니다.
URLhttps://www.data.go.kr/data/15083006/fileData.do

Alerts

석탄회발생량(Fly Ash_톤) is highly overall correlated with 석탄회발생량(Bottom Ash_톤) and 1 other fieldsHigh correlation
석탄회발생량(Bottom Ash_톤) is highly overall correlated with 석탄회발생량(Fly Ash_톤)High correlation
석탄회 재활용량(톤) 정제회 is highly overall correlated with 석탄회발생량(Fly Ash_톤)High correlation
석탄회발생량(Fly Ash_톤) has unique valuesUnique
석탄회 재활용량(톤) 정제회 has unique valuesUnique
잔사회 has 3 (2.5%) zerosZeros
석탄회 재활용량(톤) 매립회 has 55 (46.2%) zerosZeros

Reproduction

Analysis started2023-12-12 06:15:48.920837
Analysis finished2023-12-12 06:15:52.178559
Duration3.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월
Date

Distinct118
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2013-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T15:15:52.241426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:52.355223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

석탄회발생량(Fly Ash_톤)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97751.15
Minimum43544
Maximum158277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T15:15:52.470803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43544
5-th percentile64380.557
Q186123.4
median97659
Q3110669.5
95-th percentile130070.2
Maximum158277
Range114733
Interquartile range (IQR)24546.1

Descriptive statistics

Standard deviation21367.687
Coefficient of variation (CV)0.2185927
Kurtosis0.68834348
Mean97751.15
Median Absolute Deviation (MAD)12724
Skewness0.20464827
Sum11632387
Variance4.5657807 × 108
MonotonicityNot monotonic
2023-12-12T15:15:52.589177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104101.0 1
 
0.8%
87298.0 1
 
0.8%
71181.0 1
 
0.8%
57798.0 1
 
0.8%
43544.0 1
 
0.8%
52978.0 1
 
0.8%
77165.0 1
 
0.8%
87324.0 1
 
0.8%
97152.0 1
 
0.8%
114909.0 1
 
0.8%
Other values (109) 109
91.6%
ValueCountFrequency (%)
43544.0 1
0.8%
51240.0 1
0.8%
52978.0 1
0.8%
53278.0 1
0.8%
56261.98092 1
0.8%
57798.0 1
0.8%
65111.95239 1
0.8%
67073.98164 1
0.8%
67997.97495 1
0.8%
68033.0 1
0.8%
ValueCountFrequency (%)
158277.0 1
0.8%
158037.0 1
0.8%
156451.0 1
0.8%
143696.0 1
0.8%
137818.0 1
0.8%
131593.0 1
0.8%
129901.0 1
0.8%
129844.0 1
0.8%
127421.0 1
0.8%
123954.0 1
0.8%

석탄회발생량(Bottom Ash_톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct118
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17379.645
Minimum4782
Maximum118756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T15:15:52.711711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4782
5-th percentile7350.2
Q111251.926
median13936
Q316630.5
95-th percentile25746.2
Maximum118756
Range113974
Interquartile range (IQR)5378.5739

Descriptive statistics

Standard deviation17264.432
Coefficient of variation (CV)0.99337077
Kurtosis17.81397
Mean17379.645
Median Absolute Deviation (MAD)2701
Skewness4.1928539
Sum2068177.8
Variance2.980606 × 108
MonotonicityNot monotonic
2023-12-12T15:15:52.836756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16068.0 2
 
1.7%
13646.0 1
 
0.8%
118756.0 1
 
0.8%
7397.0 1
 
0.8%
6929.0 1
 
0.8%
5347.0 1
 
0.8%
5743.0 1
 
0.8%
8181.0 1
 
0.8%
10397.0 1
 
0.8%
12107.0 1
 
0.8%
Other values (108) 108
90.8%
ValueCountFrequency (%)
4782.0 1
0.8%
5347.0 1
0.8%
5743.0 1
0.8%
6449.0 1
0.8%
6797.544375 1
0.8%
6929.0 1
0.8%
7397.0 1
0.8%
7863.133231 1
0.8%
7870.0 1
0.8%
8181.0 1
0.8%
ValueCountFrequency (%)
118756.0 1
0.8%
92893.0 1
0.8%
90873.0 1
0.8%
86092.0 1
0.8%
73357.0 1
0.8%
71405.0 1
0.8%
20673.0 1
0.8%
20435.0 1
0.8%
20009.0 1
0.8%
19238.0 1
0.8%

석탄회 재활용량(톤) 정제회
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72280.423
Minimum33587
Maximum118902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T15:15:52.959065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33587
5-th percentile46574.128
Q159901
median73841
Q385002.5
95-th percentile98301.1
Maximum118902
Range85315
Interquartile range (IQR)25101.5

Descriptive statistics

Standard deviation16917.528
Coefficient of variation (CV)0.23405408
Kurtosis-0.44715386
Mean72280.423
Median Absolute Deviation (MAD)12274
Skewness-0.093012344
Sum8601370.4
Variance2.8620275 × 108
MonotonicityNot monotonic
2023-12-12T15:15:53.089127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51253.0 1
 
0.8%
45145.0 1
 
0.8%
71760.0 1
 
0.8%
51264.0 1
 
0.8%
36526.0 1
 
0.8%
56713.0 1
 
0.8%
52500.0 1
 
0.8%
33587.0 1
 
0.8%
53027.0 1
 
0.8%
73234.0 1
 
0.8%
Other values (109) 109
91.6%
ValueCountFrequency (%)
33587.0 1
0.8%
36526.0 1
0.8%
37227.0 1
0.8%
40274.0 1
0.8%
41185.0 1
0.8%
45145.0 1
0.8%
46732.92 1
0.8%
47274.28 1
0.8%
47889.0 1
0.8%
48362.25 1
0.8%
ValueCountFrequency (%)
118902.0 1
0.8%
104338.0 1
0.8%
102916.0 1
0.8%
101083.0 1
0.8%
100171.0 1
0.8%
99040.0 1
0.8%
98219.0 1
0.8%
95352.0 1
0.8%
95098.0 1
0.8%
94742.0 1
0.8%

잔사회
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6311.7764
Minimum0
Maximum11909
Zeros3
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T15:15:53.210521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2910.529
Q14752.745
median6460
Q37611
95-th percentile10485.4
Maximum11909
Range11909
Interquartile range (IQR)2858.255

Descriptive statistics

Standard deviation2348.8844
Coefficient of variation (CV)0.37214315
Kurtosis0.4298175
Mean6311.7764
Median Absolute Deviation (MAD)1518
Skewness-0.062721749
Sum751101.39
Variance5517257.8
MonotonicityNot monotonic
2023-12-12T15:15:53.326587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3
 
2.5%
3783.0 1
 
0.8%
6853.0 1
 
0.8%
11212.0 1
 
0.8%
11896.0 1
 
0.8%
5940.0 1
 
0.8%
9569.0 1
 
0.8%
8279.0 1
 
0.8%
8543.0 1
 
0.8%
7406.0 1
 
0.8%
Other values (107) 107
89.9%
ValueCountFrequency (%)
0.0 3
2.5%
2200.11 1
 
0.8%
2278.0 1
 
0.8%
2627.29 1
 
0.8%
2942.0 1
 
0.8%
2948.0 1
 
0.8%
3199.0 1
 
0.8%
3379.0 1
 
0.8%
3463.0 1
 
0.8%
3485.97 1
 
0.8%
ValueCountFrequency (%)
11909.0 1
0.8%
11896.0 1
0.8%
11501.0 1
0.8%
11212.0 1
0.8%
10815.0 1
0.8%
10642.0 1
0.8%
10468.0 1
0.8%
10239.0 1
0.8%
10164.0 1
0.8%
9609.0 1
0.8%

석탄회 재활용량(톤) 매립회
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13091.346
Minimum0
Maximum60362
Zeros55
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T15:15:53.444657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3603.65
Q326139.8
95-th percentile44451.8
Maximum60362
Range60362
Interquartile range (IQR)26139.8

Descriptive statistics

Standard deviation16748.568
Coefficient of variation (CV)1.2793619
Kurtosis-0.18686364
Mean13091.346
Median Absolute Deviation (MAD)3603.65
Skewness1.0322352
Sum1557870.1
Variance2.8051454 × 108
MonotonicityNot monotonic
2023-12-12T15:15:53.556499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 55
46.2%
58216.0 1
 
0.8%
29665.0 1
 
0.8%
32595.0 1
 
0.8%
22998.0 1
 
0.8%
33944.0 1
 
0.8%
36467.0 1
 
0.8%
34958.0 1
 
0.8%
7159.0 1
 
0.8%
11250.0 1
 
0.8%
Other values (55) 55
46.2%
ValueCountFrequency (%)
0.0 55
46.2%
1647.0 1
 
0.8%
1818.0 1
 
0.8%
2928.0 1
 
0.8%
3005.0 1
 
0.8%
3603.65 1
 
0.8%
4064.69 1
 
0.8%
4497.0 1
 
0.8%
5155.0 1
 
0.8%
5877.0 1
 
0.8%
ValueCountFrequency (%)
60362.0 1
0.8%
58216.0 1
0.8%
53368.0 1
0.8%
51998.0 1
0.8%
46331.0 1
0.8%
44891.0 1
0.8%
44403.0 1
0.8%
43972.0 1
0.8%
42880.91 1
0.8%
39568.0 1
0.8%

Interactions

2023-12-12T15:15:51.087792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.062981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.600625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.102322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.556873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:51.196070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.179379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.724829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.197889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.682663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:51.665013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.286751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.806711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.297062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.796319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:51.772884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.377077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.880126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.391346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.886376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:51.879950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.474746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:49.985533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.473761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:15:50.970666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:15:53.639665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
석탄회발생량(Fly Ash_톤)석탄회발생량(Bottom Ash_톤)석탄회 재활용량(톤) 정제회잔사회석탄회 재활용량(톤) 매립회
석탄회발생량(Fly Ash_톤)1.0000.3750.6670.0000.000
석탄회발생량(Bottom Ash_톤)0.3751.0000.0000.0000.000
석탄회 재활용량(톤) 정제회0.6670.0001.0000.5580.000
잔사회0.0000.0000.5581.0000.000
석탄회 재활용량(톤) 매립회0.0000.0000.0000.0001.000
2023-12-12T15:15:53.726635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
석탄회발생량(Fly Ash_톤)석탄회발생량(Bottom Ash_톤)석탄회 재활용량(톤) 정제회잔사회석탄회 재활용량(톤) 매립회
석탄회발생량(Fly Ash_톤)1.0000.6410.5210.155-0.249
석탄회발생량(Bottom Ash_톤)0.6411.0000.4290.091-0.436
석탄회 재활용량(톤) 정제회0.5210.4291.0000.461-0.172
잔사회0.1550.0910.4611.0000.052
석탄회 재활용량(톤) 매립회-0.249-0.436-0.1720.0521.000

Missing values

2023-12-12T15:15:52.021743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:15:52.125522image/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

연월석탄회발생량(Fly Ash_톤)석탄회발생량(Bottom Ash_톤)석탄회 재활용량(톤) 정제회잔사회석탄회 재활용량(톤) 매립회
02013-01104101.013646.051253.03783.058216.0
12013-0287298.011138.045145.03463.021315.0
22013-03106147.013528.086822.06458.034496.0
32013-0480026.010648.085707.06742.032342.0
42013-0569068.08819.067247.05549.044891.0
52013-0690473.011859.079073.06786.060362.0
62013-07103128.012895.075990.07161.010808.0
72013-0888197.010913.086431.00.032494.0
82013-0986479.010309.076405.06522.022804.0
92013-1079353.09632.071198.07133.044403.0
연월석탄회발생량(Fly Ash_톤)석탄회발생량(Bottom Ash_톤)석탄회 재활용량(톤) 정제회잔사회석탄회 재활용량(톤) 매립회
1092022-0382894.6517211268.8521671433.225426.1626162.23
1102022-0467073.981649697.40903355301.0643485.977184.58
1112022-0567997.9749510165.2336450411.653546.53603.65
1122022-0686897.8309712722.8436351607.712200.110.0
1132022-07123279.106117358.2453473128.676355.9110062.59
1142022-08107213.117314593.7976172423.956117.7410797.22
1152022-0965111.952397863.13323153157.783962.6411606.94
1162022-1056261.980926797.54437547274.284732.4926117.37
1172022-1174293.620169640.35548546732.925863.4519388.88
1182022-1286154.799610302.9764150473.714310.114064.69