Graded project of Getting and Cleaning Data, course 2 of Data Science Specialization from Johns Hopkins University on Coursera.
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Updated
Mar 25, 2021 - R
Graded project of Getting and Cleaning Data, course 2 of Data Science Specialization from Johns Hopkins University on Coursera.
Cousera Course - Getting and Cleaning Data Project
Read SurveyMonkey data and clean it conveniently
Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.
Analysis of fixed interval precipitation records
Extension of tidytext to provide other term frequency calculators
An R script for the basic and repetitive cleanup steps for datasets exported from qualtrics. Web app available
A repository of .lift export from the FLEx project of the Enggano learner's printed dictionary. This .lift XML file is then transformed into a tibble/rectangular table. The spinoff of this repository is available at https://github.com/engganolang/eno-flex
R code and Technical Documentation for getting data from online respositories, cleaning the data according to Tidy Data principles, and calculating summaries of the data..
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Getting and Cleaning Data Course: Human Activity Recognition Using Smartphones Dataset Project repo: date created 51224
Course Project deliverable for the Coursera Course Getting and Cleaning Data taught by John Hopkins
R library for analysing Folding@Home client log data
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