The content of this pub is based/ inspired on notes/ experiments related to the material presented in the “Building Data Visualization Tools” module of the “Mastering Software Development in R” Specialization (Coursera) created by Johns Hopkins University.

The content of this pub is based/ inspired on notes/ experiments related to the material presented in the “Building Data Visualization Tools” module of the “Mastering Software Development in R” Specialization (Coursera) created by Johns Hopkins University.

The content of this pub is based/ inspired on notes/ experiments related to the material presented in the “Building Data Visualization Tools” module of the “Mastering Software Development in R” Specialization (Coursera) created by Johns Hopkins University.

Notes/ experiments related to the material presented in the “Building Data Visualization Tools” module of the “Mastering Software Development in R” Specialization (Coursera) created by Johns Hopkins University.

The content of this blog is based on notes collected and experiments performed while reading the “Non-standard Evaluation” chapter in “Advanced R” by Hadley Wickham.

Playground on TDD using the test that package

Based on notes collected and experiments performed while reading the "Environments" chapter "Advanced R" by Hadley Wickham in order to better understand the basic concepts behind environments.

Apply a Naive Bayes Classifier to perform a classic classification problem, classify sms as spam or ham.

An experiment/ playground activity is based on the content of chapter 3 of the “Tidy Text Mining with R” book. For more info look at my personal web site at https://pparacch.github.io/

Experimenting with the tidytext package and lesson learned

Experimenting with the tm package and lesson learned

Capstone Project of the Data Science Specialization at Coursera (JHU).

Some info about the strategy used to reduce the size of the ngrams for the final data product.

Some basic information about the data generated during the ingestion process. Number of tokens, size of the vocabulary.....

Milestone assignment connected with the Capstone Project of the Data Science Specialization (Johns Hopkins, Coursera).

Exploring 'Miles Per Gallons' consumptions (based on Motor Trend Car Road Tests) App - Pitch Presentation for the "Developing Data Products in R" module

Addressing the following questions: Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health? Across the United States, which types of events have the greatest economic consequences?