r

Markov Chains - Collection Strategy

Table of Contents Introduction Mathematical Model Solution Introduction Language used: R (Markov Chains package) Task to solve: Analyze the Bad Payers situation. Transitional matrix with this components: Group A (good payers) 30% will stay in this category 30% will become a bad payer (Group B) The rest will pay all overdue Group B (bad payers) 10% goes to the default stage 20% pays the overdue 40% will stay in Group B 30% will go to Group A D (default): Default...

A Descriptive Analysis of Airbnb accomodations in Bologna

Language used: R Database used: “listing.csv” from the website http://insideairbnb.com/get-the-data/ composed by a mix of 18 qualitative and quantitative variables and 3896 cases. Packages used: dplyr: to obtain a general descriptive analysis of the data. ggplot2: to create graphs ggmap: to be able to show maps RColorBrewer: to assign colors to the heatmap visualization osmdata: to obtain the geographic coordinates of the city of Bologna hrbrthemes: to obtain more ggplot themes Variables description:...