![]() ![]() The combination of automated textile preforming with efficient press molding enables them to produce high performance parts from recycled carbon fiber.Ģ) Innovation Award Winner ($10,000 worth of support) Herone produces high performance composite products made from realigned recycled carbon fibers. Now the jury team announced their Winners in 3 categories:ġ) Overall Challenge Winner ($25,000 worth of support) There will be three categories of Winners, of which the Overall Winner will receive $25,000 worth of support in expertise in finding the right fiber reinforced composite material, design, and manufacturing process to grow their business. Innovators, entrepreneurs, and early adopters using fiber reinforced composites were invited to submit their project ideas. This page was generated by GitHub Pages using the Cayman theme by Jason Long.DÜSSELDORF: FebruLast year in November Mitsubishi Chemical Group’s Business Incubator Growth Garage launched the Composite Engineering Challenge. More relevant datasets are also worth digging into.ĭata Incubator Challenge is maintained by ziyan-f. Given a specific Year, what are the top 10 Makes, Model, Manufacturers.Given a specific Defected Component, what is the average case management time for each Manufacturer.Similar to the two plots shown above, other plots could be generated between different variables to get more knowledge and understanding on the data. More plots will be made for side-by-side comparison for different Manufacturers. Since Component names are shared by Manufacturers, the plot looks messy when showing all Manufacturers' data altogether. Once chosen, the plot shows data for only one Manufacturer in a descending order. The interactive feature of Plotly allows the viewer to select interested Manufacturer by clicking the corresponding legend. This plot shows the number of defected Components for top 10 Manufacturers. Number of Defected Components by Manufacturer (Click the graph for interactive view) sedan, SUV, etc, to filter out the confusion. In future steps, the Models should be categorized into broader classes, e.g. Since some of the Model names are shared by multiple Makes, the plot looks messy when showing all Makes' data altogether. Once chosen, the plot shows data for only one Make in a descending order. The interactive feature of Plotly allows the viewer to select interested Make by clicking the corresponding legend. This plot shows the number of defected Models for top 10 Makes. Number of Defected Models by Make (Click the graph for interactive view) These plots were generated with R Package "plotly". Preliminary AnalysisĢ plots were made to get a first idea on the data. With this knowledge on historical recall records, the project will be finalized as an interactive application to provide recommendations to vehicle buyers regarding to safety considerations. With these data, the goal of this project is to study the recall events by each variable to see which one has greater effect on ending up a defect investigation recall. The dataset contains variables like Vehicle Make, Model, Model Year, Defect Component, Manufacturer, Case Open Date and Close Date. The Office Defect Inspection(ODI) of the Department of Transportation (DOT) has a dataset of vehicle defect investigation recall records since 1972. This repo is created for the Data Incubator Challenge problems Introduction Data Incubator Challenge by ziyan-f Data Incubator Challenge This repo is created for the Data Incubator Challenge problems View on GitHub Download.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |