Anylogic data set function3/9/2023 ![]() ![]() Since costs generally stayed the same you are guessing it might have something to with the Average Order Value. This will allow us to focus on the Facebook Ads data only without distraction from the data from the other advertising channels.Īs you learned in the first lesson revenue and profitability of Facebook Ads are going down. De-select Twitter Ads and Google Ads by clicking on them respectively. You can now click on the three bars next to Channel in cell A1. ![]() Next select all data in the new sheet and in the menu click on Data → Create a filter. ![]() One of the insights was that Facebook ads were not performing as well, which is why we are going to focus on those for this lesson to analyze them further.įirst make a copy of the worksheet (it’s always a good idea to keep a backup of the original data when manipulating it). In our last lesson we generated some first insights from the ad channel data set with the help of pivot tables. The only difference is that the German version includes an additional summary report for each event.This is the Google sheet with the practice data. The dataset is available in English and German. Thus, it is possible to test modeling approaches in different environments and circumstances. Overall, the dataset covers a wide range of different geographical settings. Five SWF events were triggered by relatively short and intense precipitation, whereas the remaining three SWF events were caused by relatively long and weak precipitation. e., two different events were observed at the same location. The dataset contains eight SWF events widely distributed in the northwestern part of Switzerland, which includes seven different study sites, i. Thus, the dataset is not only suitable for quickly setting up a SWF modeling approach, but also for calibrating, validating and testing modeling approaches based on observations. The material included direct documentations of SWFs (photographs, videos), indirect indications based on the traces of SWFs (aerophotographs, photographs, fieldwork), and witness reports. Most importantly, the dataset includes observed inundated areas that were mapped based on all available material, which documented the corresponding SWF event. It comprises all data that are usually required for modeling SWFs, except digital terrain model data, for which only links to corresponding data providers can be given.įor each event, the dataset provides the study site perimeters, coarse soil data, event-specific land use data as well as the corresponding hyetographs inferred from a blended radar and rain gauge dataset. This dataset documents eight different SWF events in Switzerland. Data for: Inside the Black Box: Understanding Key Drivers of Global Emission ScenariosĢ files (2018) Jonathan Koomey, Holmes Hummel, Zachary Schmidt, John Weyantĭata regarding observed surface water flood (SWF) events are sparse or difficult and tedious to obtain.These datasets could be used for instance to perform a cross-model comparison among many other purposes. The cells of land use have a spatial resolution of 100, 2, and 30 meters in Muskegon, Boston, and Wisconsin. There are six variables in 1978 for Muskegon, eight variables in 1998 for Boston, and sixteen variables in 1990 for Wisconsin, as inputs and urban change maps between two time periods (1978-1998 in Muskegon, 1971-1999 in Boston, 1990-2000 in Wisconsin) as outputs. We excluded the urban class in the initial time because it is impossible for this urban class to have any urban-gain or non-urban persistence across two time points.įurthermore, a set of variables was defined for each cell serving as driving factors. Three land use datasets from the USA (Wisconsin, Boston, and Boston).įor the datasets we simulated the difference between urban-gain and non-urban persistence between two time periods. Test output for AcoustiCloud: A Cloud-Based System for Managing Large-Scale Bioacoustics Processingġ file (2020) Alexander Brown, James Montgomery, Saurabh Garg.ddv that can be opened in the DiscoveryDV visual analytics program, containing interactive visualization of the Pareto optimal solution data from Data Set S3. ![]() An excel spreadsheet containing the objective function values, decision options, and alternative data (catchment size, breakdown of benefits by Council) of the Pareto optimal solutions determined by sorting the optimization results for non-dominance in objective space. A compressed file containing inputs and an executable for the Pareto Ant Colony Optimization Algorithm (PACOA) that can be run on a Windows desktop computer to replicate the optimization results. An excel spreadsheet containing stormwater harvesting and green score determined by stakeholders, and calculations for costings and water quality performance of individual BMPs. Additional Supporting Information (Files uploaded separately) ![]()
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