Welcome to my portfolio, where I'm proud to share some case studies I've been working on during my learning path in Data Analytics, Data science and Bioinformatics.
The majority of the following projects were carried out as a part of one of these Coursera specialisations:
- Web App with up-to-date data
- App presentation
The prediction model was built using a Corpora. Here you can find:
- The Web App
- An App presentation
The map shows data available at 5/4/2021. R code to generate up-to-date maps is provided at the same link.
Data are from the WHO mortality database. Here you can find:
- A Webpage with details about data and R code used to clean them
- A summary Pivot table in Google Sheets
- A Google Slides presentation of my findings
- A Video of me presenting my findings
With the following dashboard, built in Tableau, you can directly explore the data:
Data are from the study “Developmental regulation of human cortex transcription and its clinical relevance at base resolution” (Jaffe et al, 2015 Jan PMID:25501035). Here you can find documentation for the various steps of the analysis:
Read on RPubs my analysis focusing on population health and economic impact of events
Read this PDF file with details about the simulation experiment and the application of the Central Limit Theorem
Read this PDF file about exploratory analysis and hyphotesis testing on the dataset
Human activity recognition on Weight Lifting Exercices Dataset: Webpage
R markdown Presentation with interactive plot
I used raw data collected from Samsung Galaxy S smartphone’s accelerometers to generate tidy training and test datasets
GitHub repo with R code
- Simple plots using data in the “Individual household electric power consumption Data Set” from UC Irvine Machine Learning Repository
GitHub repo- More advanced plots about Fine Particulate levels in the US
GitHub repo- Exploratory plots on Samsung Galaxy S smartphone’s accelometers data
GitHub repo
Read this PDF file with an analysis of the mtcars R dataset