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:...

World Happiness Report - A Cluster Analysis [1/2]

Table of Contents Introduction Data Wrangling Descriptive Analysis Outliers Cluster Analysis Number of Clusters Hierarchical Analysis Non-Hierarchical Analysis ANOVA Conclusion (PCA) Introduction Language used: R Database used: The World Happiness report from 2021 which is a global survey data to report how people evaluate their own lives in more than 150 countries worldwide. Packages used: dplyr: to obtain a general descriptive analysis of the data. corrplot: to create correlation matrix readxl: to import the database (....

World Happiness Report - A Principal Components Analysis [2/2]

Table of Contents Introduction Descriptive Analysis Outliers Principal Components Analysis Eigenvalues Loadings Correlation between components Components 1 (Quality of Life) and 2 (Economy/Corruption) Components 1 (Quality of Life) and 3 (Social Support/Corruption) Components 2 (Economy/Corruption) and 3 (Social Support/Corruption) Conclusion Introduction Please refer to the Introduction of “World Happiness Report - A Cluster Analysis [1/2]” as this is the second part of this work. Descriptive Analysis Please refer to the Descriptive Analysis of “World Happiness Report - A Cluster Analysis [1/2]” as this is the second part of this work....