jrmilks74 Goto Github PK

blog_comments

Comments on posts from Seeing the Environmental Forest

blog_posts

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid_scripts

R scripts to calculate per capita total and daily infection and death rates for 185 countries.

datasciencecoursera

Coursera Data Science

datasharing

The Leek group guide to data sharing

developing_data_products

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratory_data_analysis_project_2

global-temperature-trend-calculator

Shiny app calculating linear trends in global temperatures

global_temperature_forecast

Forecasting models for global mean temperatue

global_temperature_model

Simple climate model based on radiative forcing due to CO2, ENSO, solar activity, and aerosols

hello-world

jrmanalytics

Website and R code for JRM Analytics

jrmilks74

Config files for my GitHub profile.

ketsda

Data and analysis of weekly attendance at Kettering SDA Church, Kettering, Ohio

ketsda_financial

R Shiny app for forecasting time series on tithe, operating income, and operating expenses from public data

ketsda_map

Number of Kettering Adventist Church members per zip code along with US Census data for each zip code

ketsda_vbs

A Shiny dashboard tracking attendance by age group at Kettering Adventist Church vacation bible school

practicalmachinelearning

Code and results of Coursera course on machine learning

predictive_text

Data Science Capstone Course project building a predictive text model in R, then transferring that to a Shiny app

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r-functions

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

reproducibleresearchproject2

Code and data for Reproducible Research Course Project 2

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

time_series_app

Time series analysis via a Shiny app