Introduction to Probability: Continuous Density Functions exercise
Uniformly distributed random numbers
Discussion Week4: Compute the matrix representation of T relative to the bases B and C
Inverse of a Matrix & Single Value Decomposition
Discussion Week3 for Eigenvalues & Eigenvetors
Eigenvalues & Eigenvectors
Trace, Determinant & Factorization
Vectors, Matrices & Systems of Equations
A simple python simulation of a game of chance
The FEMA Disaster Declaration Summary dataset holds a record for every declaration of natural emergency since the early 1950. This analysis tours the dataset and models the duration of declaration over the years.
Slides for project presentation
a look at COVID-19 deaths by county and comparison with mortality rates for other leading causes of death in the US
my extension of Nilsa Bermudez' assignment. Part of a group project to practice version control with group collaboration. Here, I just added some text and a brief chunk of code to use tidyr & dplyr methods
A brief overview and UX glance at MovieLens
follows chapter2: Sentiment Analysis with Tidy Data in Text Mining with R using the My Little Pony transcript data set from kaggle.com. Here the nlp R libraries tidytext and syuzhet are used to weight positive and negative sentiments with respect to narrative duration and character.
Tidyverse vignette to demonstrate purrr list filtering function: pluck(), compact(), keep() & more
Project proposal and preliminary descriptive stats for an analysis of turn-around time duration for different classifications of disasters.
R code to directly access information from the New York Times Books API, read in the JSON data to an R DataFrame, 'tidy' the data with tidyverse methods and visualize the results
fork a github repository, commit contributions & send a pull request
Some vary basic web scraping of reddit comments using the redditExtractoR library and text mining with the 'tm' library to create a wordcloud of most frequent words.
This demo will focus on reading and writing web data formats (.html, .xml & .json) in R. However, we will start by scraping data on several books from the MIT Press website.
This demo walks through reading & writing a .csv file before 'tidying' a dataset using methods from dplyr and tidyr libraries.
Video Game Sales 2019 Dataset from Kaggle is tidied w/ dplyr & tidyr. ggplot is used to visualize the data
The UN International Migration Dataset is tidied w/ dplyr & tidyr. circlize is then used to visualize the data as a chord diagram
beginning with a small but really quite messy .csv file, use methods from tidyr & dplyr to clean the data and then perform some brief analysis & visualizations
Given a text file with chess tournament results where the information has some structure, this R Markdown file generates a .CSV file that summarizes information from each player.
working with character strings and dates in R.
loading information from a SQL database into an R dataframe
Loading Data Into a Dataframe
Introduction to R and RStudio for DATA606 Spring Semester 2020
Demonstrating a Poisson distribution with a classic data set: the von Bortkeiwicz Prussian horse-kicking data
This R markdown document completes the homework assignment for week 2 of the R Bridge tutorial for the MSDS2020 Winter Bridge program
This R markdown document completes the homework assignment for week 1 of the R Bridge tutorial for the MSDS2020 Winter Bridge program.