Online Program

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Wednesday, May 29
Data Visualization
Computational Statistics
Machine Learning
Opening Mixer & E-Posters
Wed, May 29, 5:30 PM - 7:00 PM
Grand Ballroom Foyer


*John Ongala Lunalo, RTI International 
Steven Ndung'u Machetho, Manobi 

Keywords: ShinyApp, Climatic Data, Visualizations

Crop modelling and agricultural experimental designs entail a range of activities among them is to work with climatic data to inform farmers on better and modernised scientific agricultural practices. This can be less achieved without a tool for data exploration and analysis. Working with data is becoming rarely uncommon in many sectors. Data insights drive every agricultural informed decision making. To contribute towards enriching farmers with better insightful tools, we are designing an application that can aid farmers to visualize and summarise climatic data. We are using R software’s Shinyapp package to create an interactive user interface while leveraging on R’s visualization and data manipulation capabilities to ensure powerful munging, exploration and analyses.