slu-dss Goto Github PK

atlasweek

Atlas Week Lesson - Accessible Data Analysis: Using St. Louis Data to Explore Global Issues

empty-lesson

Empty SLU DSS R Lesson for Duplication

empty-py-lesson

Empty SLU DSS Python Lesson for Duplication

fall-2016-core-documents

Syllabus and Seminar Wiki

fall-2016-seminar-05

fall-2017-seminar-01

Mapping in R: Introduction to R, RStudio, and ggplot2

fall-2017-seminar-02

Mapping in R: Reading Data into R and ggplot2

fall-2017-seminar-03

Building Basic Maps

fall-2017-seminar-04

Adding Complexity to Maps

gis-02

SLU DSS Fall 2020, Mapping in R: Session #2, More Leaflet Mapping

gis-03

SLU DSS Fall 2020, Mapping in R: Session #3, Static Mapping with ggplot2 and tmap

gis-04

Geoprocessing Data with R

gis-1

SLU DSS Fall 2020, Mapping in R: Session #1, Spatial Data Basics

gis-extended

A Combination of our Separate GIS Lessons

git

Brownbag on Git and GitHub

lesson-template

Template for Organizing SLU DSS Lessons

meta-analysis

Spring 2018 Brownbag Session with Cort Rudolph, Ph.D.

open-science

SLU Research September 11/12, 2019 Event Materials

open-science-framework

Brownbag on Open Science and the Open Science Framework

plotting-01

plotting-02

plotting-03

plotting-04

power-analysis

Brownbag - Estimating Sample Sizes for Studies

protectdata

Protecting Your Data Seminar (September 6, 2017)

python-overview

Brownbag - Using Python for Data Science, An Overview

research-01

Reproducible Research in R, Lesson 1 - Introduction to RStudio and R Projects

research-02

Reproducible Research in R, Lesson 2 - Reading and Writing Data

research-03

Reproducible Research in R, Lesson 3 - Notebooks and RMarkdown

research-04

Reproducible Research in R, Lesson 4 - Using knitr