Exercise solutions to "R for Data Science"

An exploratory data analysis and data visualization project using data from Spotify Web API

Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.

Magic potions to clean and transform your data 🧙

Seurat meets tidyverse. The best of both worlds.

Brings SingleCellExperiment objects to the tidyverse

Análisis y visualización de datos con R de historial de actividad en Netflix de una cuenta personal. Visualización de maratones de series más vistas y frecuencia de actividad por días, meses y años

A fluent code explorer for R. 🔍

Extensions and extras for tidy processing.

The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.

My data exploration and visualization projects for R Tidytuesday weekly community event.

A set of scripts to process stacked IO graphs for Wireshark data

This repository contains all the projects/case studies done using Machine Learning methods. This is in conjunction with another repository. Difference being that R would be the main software used here

Methods for clm objects

R functions to patch a data frame or a vector

Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.

Empirical Comparison of Regression Methods for Variability-Aware Performance Prediction. Эмпирическое сравние регрессионных методов для предсказания производительности конфигурируемых систем

Link to Report: https://adminliveunc-my.sharepoint.com/:w:/r/personal/tadennis_ad_unc_edu/Documents/Capstone%20Group/Final%20Report%20Draft.docx?d=wba9e7182a9b948898133e4f89def1d90&csf=1&web=1&e=fQGAfy

As part of a group project, I developed separate regression models using R to predict the daily number of batteries and robberies in Chicago using four different datasets. I tested interactive and second-order terms and used stepwise feature selection to find the best model with the given data. I tested several potential models using cross-valid…

Exploratory Data Analysis of Resume Names Dataset using R visualization packages