How to approach a real-life problem while using rainfall data

Ritam_Pradhan: <p>Hi!!<br>
I am new to pytorch and learning how to create models using this library. I stumbled upon a problem which I am not satisfied with the result. I have time-series rainfall data of 2 locations (say) of sparse nature. I have another time-series discharge data of the same corresponding timestamp. I was trying to implement message passing technique on the rainfall data to predict the output.<br>
The problem that I am facing is that, I am unable to capture the noise present in the data. Normalization is making the model predict within a certain range and the loss (MSE) is very high, and also facing the problem of vanishing gradient. Without normalization, the model is running fine but it still can’t capture the peaks in the data. I want to create a regression model and should be able to predict the output as accurately as possible. I have provided below a snapshot of the data I am working on. Anyone has any idea how to proceed in such cases. Like what sort of data preprocessing should I use? Any other idea is also welcome.<br>
Below is the data I am working on: (It is time-series rainfall data at two location)<br>
|0.16536|1.0815|<br>
|0.2265|0.40153|<br>
|9.2792|13.009|<br>
|0|0.52373|<br>
|5.2225|8.1669|<br>
|9.155|8.5628|<br>
|16.232|11.966|<br>
|0|0|<br>
|0|0|<br>
|0.68834|0.42485|<br>
|2.6633|3.2057|<br>
|0.55367|0|<br>
|0.42821|0.36416|<br>
|0|0|<br>
|0.52851|0|<br>
|0|0|<br>
|0.56329|2.3651|<br>
|62.18|68.424|<br>
|17.317|13.931|<br>
|3.0101|2.2046|<br>
|3.1223|2.195|<br>
|0.42841|0.84839|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|3.9716|<br>
|42.991|34.303|<br>
|4.2095|10.829|<br>
|4.3815|3.346|<br>
|6.7946|7.0046|<br>
|3.5685|3.9512|<br>
|1.9721|1.689|<br>
|0|1.0911|<br>
|0.50898|1.2984|<br>
|0|0|<br>
|0|0.24441|<br>
|2.5431|5.4309|<br>
|11.86|8.0414|<br>
|8.1427|7.0408|<br>
|4.3814|5.1197|<br>
|36.802|36.494|<br>
|37.613|29.521|<br>
|12.507|11.328|<br>
|1.1586|0.91039|<br>
|1.7551|2.4275|<br>
|59.477|58.617|<br>
|117.67|109.88|<br>
|42.803|45.34|<br>
|34.876|29.392|<br>
|5.5668|4.4756|<br>
|2.8691|2.0609|<br>
|0.71369|0.79896|<br>
|3.0449|1.0395|<br>
|0.29588|0.86516|<br>
|13.991|11.335|<br>
|7.7794|6.6794|<br>
|11.029|8.6004|<br>
|0.83678|0.53255|<br>
|0|0|<br>
|3.4257|2.9133|<br>
|0|0|<br>
|0.27684|0|<br>
|0.35685|0.30346|<br>
|0|0|<br>
|0.35685|0.30346|<br>
|0|0|<br>
|0|0.65467|<br>
|4.8819|5.7815|<br>
|9.9462|13.378|<br>
|3.0643|3.5531|<br>
|54.453|47.621|<br>
|1.2719|0.82426|<br>
|2.0581|1.3586|<br>
|2.931|3.4094|<br>
|0.53289|0.37278|<br>
|10.148|8.011|<br>
|0.95923|1.6467|<br>
|15.341|14.092|<br>
|27.876|22.478|<br>
|16.308|13.339|<br>
|6.9866|6.2161|<br>
|0.11419|0|<br>
|0|0|<br>
|0|0|<br>
|1.4274|1.6939|<br>
|8.0268|6.6762|<br>
|12.073|10.436|<br>
|8.8614|8.5336|<br>
|47.916|44.097|<br>
|23.637|22.833|<br>
|2.4682|1.8208|<br>
|0.90741|0.81557|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|8.4158|7.6021|<br>
|0.47954|0.7065|<br>
|2.2549|1.7032|<br>
|1.0325|8.3775|<br>
|6.2831|4.0566|<br>
|0.8944|0.67964|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|5.2605|4.2369|<br>
|3.8944|2.7943|<br>
|7.0062|6.4566|<br>
|2.5711|3.7906|<br>
|4.7231|3.7524|<br>
|0|0|<br>
|0|0|<br>
|0|1.425|<br>
|28.166|24.699|<br>
|0.62062|1.6724|<br>
|2.95|2.7186|<br>
|5.7739|3.8542|<br>
|0.11079|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|6.6902|4.3993|<br>
|4.198|8.7643|<br>
|12.299|17.737|<br>
|42.404|40.307|<br>
|0|0|<br>
|0|0|<br>
|0.73926|0.39229|<br>
|2.4706|0.96544|<br>
|0.74079|0.93956|<br>
|16.941|20.445|<br>
|2.8888|2.3161|<br>
|228.12|223.08|<br>
|119.89|126.83|<br>
|17.481|13.835|<br>
|11.571|10.083|<br>
|0.54318|0.36997|<br>
|3.5986|3.441|<br>
|14.895|13.772|<br>
|11.986|10.813|<br>
|0.38155|0.20247|<br>
|0|0|<br>
|0.56104|0.2739|<br>
|0|0|<br>
|4.8039|2.3781|<br>
|3.0893|2.4885|<br>
|16.925|16.083|<br>
|11.332|11.848|<br>
|32.371|32.014|<br>
|5.9992|5.0592|<br>
|23.149|19.879|<br>
|17.217|18.016|<br>
|0.45489|0.28007|<br>
|0.51168|1.4491|<br>
|36.609|39.317|<br>
|50.908|56.331|<br>
|23.758|25.088|<br>
|25.746|30.655|<br>
|91.922|115.18|<br>
|14.312|11.161|<br>
|15.995|12.795|<br>
|7.6038|5.8729|<br>
|12.835|11.738|<br>
|7.6304|3.8684|<br>
|5.5476|5.4368|<br>
|6.2778|8.4247|<br>
|26.262|26.816|<br>
|14.05|10.054|<br>
|12.673|12.984|<br>
|6.3795|6.2335|<br>
|5.8158|4.4046|<br>
|6.6592|4.8966|<br>
|7.8674|7.3834|<br>
|15.523|15.385|<br>
|38.713|37.785|<br>
|3.9541|2.543|<br>
|0.45485|0.2818|<br>
|1.5739|0.83519|<br>
|0|0|<br>
|3.8612|3.1003|<br>
|19.09|15.346|<br>
|0|0|<br>
|0.27264|0.62568|<br>
|43.807|47.71|<br>
|12.939|10.416|<br>
|37.469|52.284|<br>
|1.1962|1.3695|<br>
|6.7148|7.6671|<br>
|22.741|22.165|<br>
|2.8744|2.0202|<br>
|9.0014|7.3895|<br>
|37.929|35.096|<br>
|3.2075|2.8871|<br>
|9.159|9.3081|<br>
|193.67|211.22|<br>
|17.694|20.537|<br>
|2.4756|1.7585|<br>
|0.31688|0.25573|<br>
|4.0687|3.4191|<br>
|69.187|69.59|<br>
|195.36|206.57|<br>
|46.422|51.912|<br>
|1.9917|1.6094|<br>
|1.0139|0.82107|<br>
|14.271|9.9503|<br>
|8.8943|7.8079|<br>
|2.1964|4.903|<br>
|4.1732|2.2145|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|1.3717|0.73683|<br>
|2.2893|1.2148|<br>
|0|0|<br>
|0.58186|0.77218|<br>
|0.14506|0.11273|<br>
|0|0|<br>
|1.2158|0.6921|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|1.3593|0.7213|<br>
|14.032|11.359|<br>
|0|0|<br>
|1.2903|3.6542|<br>
|0.11787|0|<br>
|1.7381|1.4076|<br>
|0|0|<br>
|0|0|<br>
|1.4238|4.0322|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|3.3952|2.738|<br>
|0|0|<br>
|0.22247|0.63003|<br>
|0.95802|0.95579|<br>
|0|0|<br>
|0.38125|0.19588|<br>
|0|0|<br>
|9.4257|10.853|<br>
|1.6789|1.5367|<br>
|0.31944|0.24292|<br>
|0|0|<br>
|3.665|2.591|<br>
|1.9944|1.5653|<br>
|0.78456|0.83141|<br>
|0|0|<br>
|6.2637|13.458|<br>
|5.6231|14.99|<br>
|15.285|16.319|<br>
|39.255|35.706|<br>
|1.8358|1.0743|<br>
|0.13786|0.21663|<br>
|1.1704|1.7356|<br>
|0|0|<br>
|1.4375|1.0932|<br>
|1.0319|1.4749|<br>
|35.898|29.941|<br>
|1.4646|0.36023|<br>
|15.237|19.182|<br>
|64.453|59.906|<br>
|24.237|22.406|<br>
|6.3653|5.7744|<br>
|1.7125|1.4617|<br>
|0.55284|0.49217|<br>
|0.23019|0.11827|<br>
|0|0|<br>
|3.4595|6.406|<br>
|0.21462|0.10458|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|2.2245|2.6077|<br>
|0|0|<br>
|0|0|<br>
|6.0951|6.1653|<br>
|7.3257|6.8011|<br>
|13.838|8.9669|<br>
|9.7243|9.1535|<br>
|0|0|<br>
|48.673|47.786|<br>
|8.5892|9.3817|<br>
|1.0879|0.85028|<br>
|2.025|1.4516|<br>
|3.3598|2.7923|<br>
|0|0|<br>
|1.8836|2.016|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|1.7897|5.6817|<br>
|0|0|<br>
|15.307|14.471|<br>
|31.121|26.435|<br>
|1.0974|0.79653|<br>
|0.58942|0.51872|<br>
|4.1048|4.1563|<br>
|4.887|5.0548|<br>
|4.2897|3.2253|<br>
|5.4735|4.8818|<br>
|2.6706|2.3289|<br>
|24.213|15.576|<br>
|50.555|50.834|<br>
|1.2231|0.45812|<br>
|7.6132|7.2986|<br>
|83.487|73.107|<br>
|7.0269|5.9202|<br>
|7.1984|3.8354|<br>
|12.845|8.8825|<br>
|63.801|50.286|<br>
|5.7242|5.3688|<br>
|2.6848|1.9388|<br>
|4.4756|4.1547|<br>
|9.041|9.2891|<br>
|17.828|16.313|<br>
|31.286|32.732|<br>
|70.818|66.621|<br>
|0.14308|0|<br>
|0.62292|1.2626|<br>
|0|0|<br>
|0|0|<br>
|5.1464|5.1108|<br>
|9.0747|7.9515|<br>
|7.5052|7.6026|<br>
|2.065|1.6895|<br>
|22.385|15.084|<br>
|2.1113|1.6427|<br>
|3.0464|2.7062|<br>
|12.164|10.051|<br>
|3.8649|3.0153|<br>
|31.008|28.465|<br>
|50.897|46.497|<br>
|19.385|13.673|<br>
|2.2287|1.2672|<br>
|20.233|16.256|<br>
|15.231|10.466|<br>
|0.5319|1.6711|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
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|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0.52878|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0.23847|0.1162|<br>
|2.4924|11.109|<br>
|5.1443|1.8825|<br>
|0|0.71893|<br>
|0.93003|0.45319|<br>
|30.911|24.885|<br>
|2.8013|0.22078|<br>
|0|0|<br>
|1.81|0.66235|<br>
|0|0|<br>
|2.9176|3.4071|<br>
|10.35|7.2|<br>
|11.275|18.447|<br>
|23.699|22.938|<br>
|18.409|9.6427|<br>
|0.36524|2.5783|<br>
|18.508|10.511|<br>
|0.36578|0|<br>
|20.414|17.759|<br>
|0|3.192|<br>
|0.90619|0.49908|<br>
|9.3634|9.2008|<br>
|9.8865|11.567|<br>
|3.0478|10.031|<br>
|8.1422|8.2345|<br>
|16.822|8.5605|<br>
|0.90619|0.44157|<br>
|37.302|30.234|<br>
|59.649|47.522|<br>
|16.631|15.52|<br>
|3.4824|2.1761|<br>
|2.1132|0.94124|<br>
|21.057|20.977|<br>
|3.9183|1.5272|<br>
|45.735|34.932|<br>
|4.3465|6.4565|<br>
|54.982|51.746|<br>
|13.438|15.683|<br>
|29.48|25.186|<br>
|17.448|12.646|<br>
|39.422|25.071|<br>
|38.229|24.55|<br>
|26.559|19.975|<br>
|20.929|18.245|<br>
|42.338|33.403|<br>
|8.8997|7.2342|<br>
|0.32212|0|<br>
|0.15653|0|<br>
|0|0|<br>
|2.0827|2.0401|<br>
|49.988|50.005|<br>
|29.558|29.887|<br>
|2.7095|15.826|<br>
|21.416|24.102|<br>
|8.0173|5.0854|<br>
|23.513|24.014|<br>
|20.621|11.82|<br>
|1.4117|3.3636|<br>
|19.871|22.893|<br>
|2.2939|2.9562|<br>
|7.5153|11.516|<br>
|6.2116|7.1282|<br>
|14.262|16.489|<br>
|31.006|29.474|<br>
|1.1927|0.29235|<br>
|0.20513|0|<br>
|7.7014|4.7711|<br>
|10.89|5.8468|<br>
|0|0.13538|<br>
|2.7686|3.4507|<br>
|7.9151|8.7497|<br>
|139.49|103.69|<br>
|4.9196|3.6895|<br>
|0.43778|0.31844|<br>
|0|0|<br>
|40.859|39.33|<br>
|48.457|53.032|<br>
|21.952|31.363|<br>
|3.1381|12.748|<br>
|2.2228|1.8045|<br>
|1.349|1.1351|<br>
|45.076|65.924|<br>
|9.6615|13.891|<br>
|2.5439|0.47345|<br>
|0|0|<br>
|0.12209|0|<br>
|31.571|26.36|<br>
|32.599|18.288|<br>
|6.1368|2.3872|<br>
|9.1036|6.0124|<br>
|0.36627|0|<br>
|8.2661|5.2619|<br>
|19.898|13.673|<br>
|0.95531|2.2357|<br>
|0.64395|1.6467|<br>
|0.49243|1.2592|<br>
|0|0|<br>
|1.7617|0.7366|<br>
|21.756|16.101|<br>
|22.013|3.836|<br>
|1.9598|1.2886|<br>
|0|0.17532|<br>
|0.52068|1.5502|<br>
|2.5917|6.0103|<br>
|2.4621|6.2962|<br>
|7.1098|19.134|<br>
|22.982|14.74|<br>
|30.91|28.247|<br>
|2.324|8.8884|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|2.9906|<br>
|0|1.1215|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|2.8784|<br>
|4.3797|0.56641|<br>
|0.35694|0.37382|<br>
|7.5656|11.907|<br>
|34.815|9.0407|<br>
|14.332|2.3798|<br>
|0|1.5513|<br>
|1.0708|0|<br>
|0|0.37382|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|1.8383|0.31467|<br>
|1.042|4.0816|<br>
|0|0|<br>
|9.0337|3.0051|<br>
|3.2121|3.5179|<br>
|4.578|1.4908|<br>
|20.596|19.981|<br>
|1.5394|2.3372|<br>
|2.4139|0.70801|<br>
|0|0|<br>
|0|0|<br>
|2.3561|1.6002|<br>
|0.99944|0|<br>
|0.71388|0.8224|<br>
|9.8496|0.69142|<br>
|9.6731|0.14953|<br>
|0.28471|3.9188|<br>
|22.392|25.404|<br>
|9.9536|8.1928|<br>
|44.345|44.005|<br>
|23.156|18.332|<br>
|3.3953|5.2018|<br>
|4.8733|9.1164|<br>
|0.63205|2.4757|<br>
|0|0.67287|<br>
|22.105|20.2|<br>
|19.081|15.97|<br>
|12.486|11.337|<br>
|6.9543|5.6385|<br>
|10.082|13.133|<br>
|28.21|29.261|<br>
|15.58|16.163|<br>
|23.324|19.76|<br>
|17.961|7.8841|<br>
|17.56|16.03|<br>
|1.344|1.8388|<br>
|0.23915|0.93677|<br>
|0.97281|4.9948|<br>
|60.237|53.455|<br>
|61.807|60.61|<br>
|9.1706|12.212|<br>
|8.0547|19.099|<br>
|44.82|47.701|<br>
|24.865|24.31|<br>
|45.096|50.247|<br>
|21.692|23.477|<br>
|10.725|11.252|<br>
|14.439|16.326|<br>
|1.4189|0.47201|<br>
|0.1936|0.75833|<br>
|0|0.22304|<br>
|2.5033|2.6423|<br>
|10.191|1.2273|<br>
|4.1967|4.01|<br>
|7.7122|13.405|<br>
|4.338|14.113|<br>
|36.03|36.049|<br>
|66.107|115.06|<br>
|1.9405|2.6178|<br>
|2.2978|2.4601|<br>
|5.2418|3.4223|<br>
|2.648|2.911|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0|0|<br>
|0.11958|0.46838|<br>
|0|0|<br>
|0|0|<br>
|20.587|13.536|<br>
|14.576|15.236|<br>
|5.4199|5.055|<br>
|5.7436|5.2161|<br>
|1.6567|3.6862|<br>
|2.9574|2.8637|<br>
|1.4041|1.7626|<br>
|4.043|2.548|<br>
|14.048|13.603|<br>
|3.69|0.55067|<br>
|1.5602|6.1113|<br>
|10.919|14.116|<br>
|0|0|<br>
|0.74958|0|<br>
|0|0|<br>
|0|7.8876|<br>
|0.46692|3.1373|<br>
|9.5027|13.101|<br>
|13.952|5.7059|<br>
|0.28555|0|<br>
|3.4302|3.0164|<br>
|3.3581|1.8289|<br>
|10.886|21.895|<br>
|7.5371|4.6025|<br>
|8.4397|10.66|<br>
|2.0571|0.92049|<br>
|0|0|</p>
<p>Below is the corresponding output:<br>
2.29<br>
1.759<br>
55.97<br>
30<br>
23.43<br>
22.343<br>
21.735<br>
19.145<br>
54.59<br>
30.48<br>
24.5<br>
22.912<br>
23.554<br>
53.81<br>
54<br>
40.16<br>
23.41<br>
22.35<br>
22<br>
24.68<br>
24.1<br>
24.68<br>
35.22<br>
34.05<br>
25<br>
24.15<br>
22.832<br>
32.32<br>
25.02<br>
30.1<br>
21<br>
14.617<br>
12.62<br>
10.93<br>
8.209<br>
17.32<br>
19.45<br>
17.16<br>
12<br>
4.97<br>
4.014<br>
17.19<br>
157.5<br>
67.13<br>
53.18<br>
22<br>
24.45<br>
764.4<br>
1152.3<br>
489.5<br>
299.4<br>
186.5<br>
125<br>
97.53<br>
57.94<br>
49.5<br>
68.31<br>
69.93<br>
59.36<br>
60<br>
30.95<br>
18.43<br>
17.68<br>
14.35<br>
13.34<br>
13.16<br>
12<br>
11.78<br>
12.11<br>
14.96<br>
31.6<br>
40.03<br>
45.1<br>
35<br>
35.35<br>
61<br>
58.09<br>
50.37<br>
37.76<br>
32.99<br>
36<br>
32.51<br>
24.52<br>
28.61<br>
27.83<br>
27.83<br>
19.04<br>
17<br>
15.47<br>
14.74<br>
156<br>
204.5<br>
140<br>
75.8<br>
45<br>
35.52<br>
26.84<br>
23.46<br>
20.99<br>
24.71<br>
29.2<br>
29<br>
32.06<br>
30.03<br>
20.85<br>
16.59<br>
16.54<br>
16.9<br>
18<br>
36.63<br>
40.71<br>
41.08<br>
35.69<br>
25.65<br>
85.24<br>
40<br>
95.2<br>
60.98<br>
30.65<br>
21.54<br>
19.52<br>
19.04<br>
0<br>
0<br>
0<br>
0<br>
0<br>
13.14<br>
10.799<br>
8.541<br>
11.465<br>
45<br>
23.113<br>
19.616<br>
130.337<br>
2000.82<br>
760.295<br>
425.731<br>
250<br>
153.86<br>
98.284<br>
74.883<br>
95.109<br>
62.775<br>
55<br>
45<br>
35<br>
45<br>
60<br>
156.969<br>
104.66<br>
138.908<br>
160<br>
150.366<br>
62.633<br>
36.257<br>
29.935<br>
99.106<br>
1050.6<br>
850<br>
7132.83<br>
3500<br>
1199.84<br>
1155.64<br>
1350.27<br>
615.661<br>
500<br>
467.934<br>
1291.37<br>
1201.8<br>
765.402<br>
748.686<br>
469.044<br>
650<br>
387.986<br>
352.143<br>
951.827<br>
909.097<br>
552.181<br>
367.211<br>
350<br>
141.817<br>
108.907<br>
90.093<br>
96.889<br>
126.653<br>
174.246<br>
600<br>
944.8<br>
628.424<br>
214.335<br>
183.458<br>
336.317<br>
315.066<br>
300<br>
215.543<br>
359.222<br>
1850<br>
850.415<br>
353.158<br>
260.752<br>
1160<br>
3038<br>
6001<br>
1423.24<br>
984.055<br>
918.883<br>
718.101<br>
332.52<br>
314.489<br>
235.604<br>
181.891<br>
161.493<br>
86.378<br>
85.782<br>
85.782<br>
70.632<br>
100.487<br>
70.676<br>
75.339<br>
65.742<br>
56.137<br>
52.35<br>
40.915<br>
37.22<br>
40.162<br>
100.43<br>
60.609<br>
75.946<br>
54.78<br>
43.903<br>
42.799<br>
45.548<br>
50.548<br>
45.067<br>
42.279<br>
40<br>
32.228<br>
30.114<br>
35.606<br>
58.87<br>
49.653<br>
46.713<br>
46<br>
1.5<br>
1.25<br>
1.041<br>
1.041<br>
1.041<br>
3.34<br>
3.167<br>
2.989<br>
3.5<br>
5.521<br>
15.779<br>
17.201<br>
15.781<br>
15.187<br>
10.251<br>
23.5<br>
25.655<br>
20.967<br>
22.388<br>
22.392<br>
50.763<br>
40.425<br>
35<br>
69.948<br>
83.199<br>
45.544<br>
38.11<br>
30.725<br>
40.033<br>
35.5<br>
25.546<br>
20.674<br>
15.028<br>
14.872<br>
15.194<br>
14.05<br>
13.4<br>
13.239<br>
12.137<br>
11.775<br>
11.165<br>
11.095<br>
10.007<br>
10.5<br>
12.766<br>
31.755<br>
19.543<br>
21.701<br>
84.116<br>
55.42<br>
40<br>
40.755<br>
35.815<br>
30.662<br>
19.352<br>
17.304<br>
16.506<br>
14<br>
15.115<br>
14.603<br>
19.454<br>
34.476<br>
39.35<br>
30.903<br>
38.5<br>
30.516<br>
28.426<br>
33.741<br>
29.999<br>
25.575<br>
30.283<br>
90<br>
40.323<br>
36.638<br>
39.49<br>
50<br>
40.632<br>
105.663<br>
270<br>
143.442<br>
99.15<br>
82.228<br>
112.289<br>
290<br>
838.018<br>
300<br>
145.716<br>
92.516<br>
71.028<br>
59.888<br>
70<br>
130.247<br>
180<br>
250.237<br>
185<br>
137.981<br>
100.97<br>
95.729<br>
83.053<br>
75<br>
68.83<br>
64.499<br>
67.038<br>
74.359<br>
109.706<br>
80.054<br>
60<br>
45.282<br>
40.391<br>
31.127<br>
28.31<br>
20.489<br>
20.042<br>
20<br>
19.527<br>
20.735<br>
19.527<br>
23.761<br>
25.322<br>
24.531<br>
24<br>
22.779<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
0<br>
3.714<br>
12.201<br>
6.782<br>
5.099<br>
5.493<br>
6.25<br>
5.366<br>
5.009<br>
19.014<br>
9.383<br>
56<br>
175.388<br>
100<br>
55.776<br>
49.943<br>
58.971<br>
38.833<br>
36.263<br>
65.196<br>
50<br>
31.469<br>
54.105<br>
76.89<br>
83.705<br>
200<br>
460.02<br>
325<br>
477.265<br>
125.062<br>
75.648<br>
50.648<br>
47.125<br>
278.665<br>
800<br>
471.158<br>
1174.89<br>
836.934<br>
220.609<br>
201.954<br>
197.36<br>
790<br>
451.959<br>
536.209<br>
455.262<br>
493.471<br>
490<br>
521.808<br>
211<br>
162.535<br>
148.017<br>
206.987<br>
221.888<br>
208.166<br>
434.173<br>
495<br>
505.996<br>
343.073<br>
198.599<br>
4040.95<br>
8448.9<br>
2285.45<br>
950<br>
790.956<br>
2823.77<br>
2332.43<br>
1410.24<br>
915.169<br>
512.284<br>
1350<br>
1800.57<br>
1326.78<br>
1344.68<br>
947.703<br>
526.334<br>
535.599<br>
1500<br>
958.09<br>
431.353<br>
392.366<br>
357.769<br>
386.628<br>
379.11<br>
421<br>
421.009<br>
399.208<br>
374.965<br>
362.956<br>
409.484<br>
396.156<br>
350<br>
558.879<br>
450.705<br>
0.244<br>
0.237<br>
0.317<br>
0.289<br>
0.315<br>
0.3<br>
0.284<br>
0.256<br>
0.247<br>
0.228<br>
0.242<br>
5.216<br>
5<br>
12.34<br>
2345.54<br>
1412.26<br>
890.676<br>
536.153<br>
395.647<br>
270<br>
247.293<br>
205.264<br>
63.08<br>
45.396<br>
31.009<br>
32.161<br>
30.12<br>
42.897<br>
44.51<br>
36.62<br>
39.258<br>
46.305<br>
43.703<br>
185<br>
250.483<br>
102.181<br>
47.919<br>
48.694<br>
51.992<br>
39.14<br>
28<br>
24.464<br>
42.383<br>
38.425<br>
48.874<br>
197.902<br>
157.884<br>
100<br>
84.704<br>
50.802<br>
161.553<br>
138.971<br>
42.034<br>
43.653<br>
45<br>
129.328<br>
361.152<br>
194.253<br>
975.743<br>
1016.08<br>
709.699<br>
600<br>
299.091<br>
140.713<br>
483.382<br>
464.094<br>
714.807<br>
588.046<br>
715<br>
1406.54<br>
1126.61<br>
1285.01<br>
1073.49<br>
930.527<br>
640.74<br>
500<br>
313.52<br>
268.012<br>
107.16<br>
71.387<br>
84.279<br>
104.336<br>
1800<br>
3003.24<br>
1500.9<br>
821.283<br>
329.844<br>
311.175<br>
139.08<br>
90<br>
69.756<br>
47.326<br>
40.079<br>
37.064<br>
45.759<br>
175.815<br>
480<br>
230.321<br>
130<br>
103.876<br>
71.843<br>
64.851<br>
58.334<br>
125<br>
90.877<br>
87.565<br>
69.909<br>
50.923<br>
47.025<br>
51.968<br>
40<br>
27.872<br>
27.059<br>
141.529<br>
48.611<br>
39.275<br>
47.373<br>
85<br>
57.658<br>
45.701<br>
45.492<br>
54.175</p>