Joe Roberts's repositories
6135
Repo for my course PSY6135: Psychology of Data Visualization
BigBookofR
The biggest collection of R books (and maybe later some other resources too)
chart-doctor
Sample files to accompany the FT's Chart Doctor column
data_to_viz
Leading to the dataviz you need
datavisguide
Introductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more readable, accessible, and impactful.
DAVPy
Course material for Data Analysis and Visualization with Python
IoT-For-Beginners
12 Weeks, 24 Lessons, IoT for All!
lost-stats.github.io
Source code for the Library of Statistical Techniques
Mothbox
Developing an open source,low cost automated system for Moth-Lighting photography
Online_R_learning
Online R learning for applied statistics
PesticideLoadIndicator
:exclamation: This is a read-only mirror of the CRAN R package repository. PesticideLoadIndicator — Computes Danish Pesticide Load Indicator
potential-palm-tree
Random Number Generator
practical-python
Practical Python Programming (course by @dabeaz)
quarto-website-tutorial
Example quarto site without R or Python
R-graph-gallery
A website that displays hundreds of R charts with their code
shinyintro
This class will teach you the basics of Shiny app programming, giving you skills that will form the basis of almost any app you want to build. By the end of the class, you will have created a custom app that collects and saves data, allows users to dynamically visualize the data, and produces downloadable reports.
stats-for-bio
Book for APS 240, Data Analysis with R, in the Department of Animal and Plant Sciences at the University of Sheffield
statsandr
A blog on statistics and R aiming at helping academics and professionals working with data to grasp important concepts in statistics and to apply them in R. See www.statsandr.com
stripcropping_test
stripcropping website
weather_bot
Weather forecast bot for Twitter coded using R
weevil-watch
Code to build a remote insect monitor with Raspberry Pi and camera. Detections classified using deep learning.