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Showing posts from October, 2023

MyLINONYANA: WEB APP FOR BIRDS DATA VISUALIZATION IN LESOTHO

This MyLINONYANA App is a web-based app developed in Lesotho using the R Shiny framework. Shiny apps are interactive web applications that are built with the R programming language. The shiny framework is ideal for creating a wide variety of dynamic documents, interactive applications such as decision data dashboards, interactive visualizations, and machine learning models. With the advancements in technology and data analysis tools, it has become easier than ever to explore and visualize bird data. One such tool is the R web app, which allows users to create interactive graphs and visualizations based on bird data. By using the R web app for bird data visualizations, birdwatching enthusiasts can gain valuable insights into various aspects of avian behavior and population trends. They can analyze migration patterns, track species diversity over time, and even study the impact of environmental factors on bird populations. The interactive graphs generated by the R web app enable users to...

Using Shiny App for Lesotho Soil and Vegetation Visualizations: R Programming

 R is one of the robust programming languages that is used for statistical and geospatial data analysis and visualization. It can be used to create technical documents in various formats such as HTML, pdf, doc, or otherwise. It can also be used in machine learning and other fields of artificial intelligence(AI). It has been used in a number of documents to design and publish blog sites, and websites, publish interactive books, and develop apps and decision dashboards.  In this blog, Shiny package in R has been used to develop a web app depicting soil and vegetation characteristics in Lesotho. You can visualize it here:  Soil and Vegetation App