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pparacch

Pier Lorenzo Paracchini

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How to work with maps
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.
Guidelines for good plots
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.
‘ggplot2’ package, essential concepts
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.
Plotting with R and ggplot2: Basics
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.
Non-standard Evaluation in R
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.
Test Driven Development in R
Playground on TDD using the test that package
Environments in R: an exploration
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.
Classification using a Naive Bayes classifier: spam vs. ham sms
Apply a Naive Bayes Classifier to perform a classic classification problem, classify sms as spam or ham.
Sentiment Analysis using the tidytext package
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/
Managing Unstructure Data with the tidytext package
Experimenting with the tidytext package and lesson learned
Managing Unstructured Data with the tm package
Experimenting with the tm package and lesson learned
Text Prediction - Slide Deck (Capstone Projects)
Capstone Project of the Data Science Specialization at Coursera (JHU).
Text Prediction - Ngrams Reduction Report (Capstone Project)
Some info about the strategy used to reduce the size of the ngrams for the final data product.
Text Prediction - Ingestion Report (Capstone Project)
Some basic information about the data generated during the ingestion process. Number of tokens, size of the vocabulary.....
Text Prediction - Milestone Report (Capstone Project)
Milestone assignment connected with the Capstone Project of the Data Science Specialization (Johns Hopkins, Coursera).
Exploring 'Miles Per Gallons' consumptions App Presentation
Exploring 'Miles Per Gallons' consumptions (based on Motor Trend Car Road Tests) App - Pitch Presentation for the "Developing Data Products in R" module
Weather phenomena with significant consequences in the United States
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?