The Physical and Mathematical Sciences Library will host its Open House noon-5 p.m. on Tuesday, Sept. 24, in 201 Davey Laboratory, Pollock Road.
Please forward any questions regarding this Open House event to ul-pams@psu.edu.
This workshop will provide information on setting up a data analysis plan. Many researchers have a specific question they would like to ask concerning their data, but do not have an idea of how they will answer this question with quanititative analysis until after their data is collected, leaving them fewer options. The goal of this session is to help them understand how to make sure they have an appropriate sample size, the different types of data, which statistical tests may be used in each case, and the assumptions of different statistical tests.
This session will be held online via Zoom.
This workshop introduces concepts such as descriptive vs. inferential statistics, running exploratory data analysis, testing data for normality, and parametric vs. non-parametric data analysis. Participants will learn about different statistical methods for exploring and analyzing their data.
This session will be held online via Zoom.
This session will introduce historic aerial imagery resources from the Penn State University Libraries collection, and Pennsylvania sources. Examples of historical aerial imagery uses and projects will be highlighted. Additional resources will be shared related to maps and geospatial research resources to provide further context to Pennsylvania research areas.
This session will be held online via Zoom and in W13 Pattee Library.
This session will provide maps and geospatial resources and approaches for telling your story through geospatial data. As geospatial data can relate to a broad range of topics, this session will touch upon relatable characteristics of geospatial data resources and identify ways for you to connect geospatial interests and approaches. This session will highlight commonly used geospatial applications, such as ArcGIS Online, along with other open geospatial resources. This session aims to engage participants to think critically about the geospatial data of projects and reflect on the biases of explaining geospatial data in a personal and responsible manner.
This session will be held online via Zoom and in W13 Pattee Library.
This session will introduce users to ArcGIS Notebooks in ArcGIS Pro. ArcGIS Notebooks are based on Jupyter Notebooks and help users integrating python functionality into their workflows. A sample exercise from the Esri Academy will be covered for users. If users are interested in using their own computers, please see instructions for installation of ArcGIS Pro (https://sites.psu.edu/psugis/software/), otherwise computers are available to use.
This session will be held online via Zoom and in W211A Pattee Library.
This session will introduce R and RStudio, walk through the platform interface, and discuss the utility of using the software for reproducible research practices. Participants will learn how to set a working directory, load data and packages, and discover how to find resources to support general learning and answer specific questions.
Please note: Registration for this workshop series closes Sept 30
This series will be held online via Zoom.
This session will provide introductory knowledge on how to use SPSS for quantitative statistical analysis, with demonstrations using a practice dataset. Participants will learn how to access SPSS and how to navigate the software interface, inputting different types of data, specifying variables and conducting exploratory data analysis and some basic statistical tests. No previous SPSS experience is required.
This session will be held online via Zoom.
This session will introduce the use of the package data.table to manage, clean and transform data into “tidy” format, or create new variables in a reproducible manner. Additionally, participants will learn how to handle string and date/time data.
Please note: Registration for this workshop series closes Sept 30
This series will be held online via Zoom.
This session will provide a general overview of using Minitab for quantitative statistical analysis, with demonstrations using a practice dataset. Participants will learn how to access Minitab and navigate the software interface, inputting different types of data, specifying and transforming variables and conducting exploratory data analysis and some basic statistical tests. No previous Minitab experience is required.
This session will be held online via Zoom.
This workshop will focus on data management strategies that you can implement in R and R Studio to develop a reproducible analysis and output workflow to facilitate transparent and reproducible research as well as support open data sharing. More specifically, we will R project organization, version control with Git and connection to GitHub, development of data dictionaries, and how to apply literate programming techniques to create reproducible documents.
Please note: Registration for this workshop series closes Sept 30
This series will be held online via Zoom.
The fourth and final session of the Research Reproducibility and Data Management in R Workshop Series. This workshop will provide an overview of how to use the R package, ggplot2, to create meaningful data visualizations.
Please note: Registration for this workshop series closes Sept 30
This series will be held online via Zoom.