To gain actionable insights from a case FinTech product, we shall do an in-depth analysis of customers' loan dataset.
A web application/map developed in R using shiny and leaflet packages to show the spatial effects of Cyclone Idai at district and ward level in Zimbabwe.
SpatialPointsDataFrame and SpatialPolygonDataFrame stored in Geodatabase(postGIS) can be retrieved directly to R working environment and stored back to database without saving it to our local computers.
This data visualization tool built in R using shiny and shinydashboard packages shows insights from loan portifolio analysis for a Fintech case product.
Understanding periodic trends of market prices for Agricultural value chain is important to producers,traders as well as consumers. Here are some insights of time series market analysis for selected agricultural commodities in Kenya.
This interactive dashboard shows insights from humanitarian response to cyclone Idai in Zimbabwe between March and October 2019.