bibliometrix

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

c_programming

Repository for C programming studies.

data_products_project1

Peer-graded Assignment: R Markdown and Leaflet: Create a web page using R Markdown that features a map created with Leaflet.

data_products_project2

Create a web page presentation using R Markdown that features a plot created with Plotly. Host your webpage on either GitHub.

data_products_project3

This peer assessed assignment has two parts. First, you will create a Shiny application and deploy it on Rstudio's servers. Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.

data_science_capstone

The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.

datasciencecoursera

Repositório destinado ao curso de especialização em Data Science da Johns Hopkins University (Coursera)

datasharing

The Leek group guide to data sharing

dplyr

dplyr: A grammar of data manipulation

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratorydataanalysiscourse_project1

Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

exploratorydataanalysiscourse_project2

The overall goal of this assignment is to explore the National Emissions Inventory database and see what it say about fine particulate matter pollution in the United states over the 10-year period 1999–2008. You may use any R package you want to support your analysis.

getting-and-cleaning-data-r

O objetivo deste projeto é demonstrar sua capacidade de coletar, trabalhar com e limpar um conjunto de dados. A meta é preparar dados organizados que possam ser usados para análise posterior.

ggplot2

An implementation of the Grammar of Graphics in R

i544c.github.io

introduction-to-github

jhopkins

Version Control and GitHub

mastering-shiny

Mastering Shiny: a book

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

multifuncshield-library

Arduino Multi Function Shield Library

practical_machine_learning_course_project

The goal of your project is to predict the manner in which they did the exercise. This is the “classe” variable in the training set. You may use any of the other variables to predict with.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r-for-data-science-lunchbreak-lessons

Source files for the LinkedIn Learning Course

r4ds

R for data science: a book

r_for_datascience

This application is part of the practical exercises of the R Programming course for the Specialization in Data Science - John Hopkins University.

regression_models_course_project

You work for Motor Trend, a magazine about the automobile industry. Looking at a data set of a collection of cars, they are interested in exploring the relationship between a set of variables and miles per gallon (MPG) (outcome). They are particularly interested in the following two questions.

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

reproducibleresearch_project1

This assignment will be described in multiple parts. You will need to write a report that answers the questions detailed below. Ultimately, you will need to complete the entire assignment in a single R markdown document that can be processed by knitr and be transformed into an HTML file.

reproducibleresearch_project2

The basic objective of this research is to explore the NOAA Storm Database and answer some basic questions about severe weather events. To this end, the database is used to answer the questions below and show the code for the entire analysis. The analysis presents tables, figures and summaries.

statistical_inference_project

In this project, the exponential distribution in R and the comparison with the Central Limit Theorem will be investigated. The exponential distribution will be simulated in R with rexp(n, lambda), where lambda is the rate parameter. (...)