Data exploration In Python using grouping and aggregation. This is an intermediate-level, live teaching session where you will learn how to use the Pandas module for exploring tablular (spreadsheet) data using the groupby() and pivot_table() functions, as well as some visualizations of results. Python can be a great option for exploration, analysis and visualization of tabular data, such as spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop builds upon the introductory Pandas workshops I gave in Fall 2019 and Spring 2020. (Code repository.
Tableau is a software package that is increasingly popular for creating striking visualizations, such as charts and graphs, from tabular data. It also has an increasing number of capabilities to create maps. Source data can include native geospatial files (such as shapefiles or GeoJSON files), but also tabular data (such as CSV or Excel files) that include locational values, such as place names or coordinate data. This workshop will cover how to create maps in Tableau and on ways to manipulate the data and to effectively symbolize it on a map.
R has become a popular and reproducible option for supporting spatial and statistical analysis. This hands-on workshop will demonstrate how to plot x/y coordinates; how to generate thematic chloropleths with US Census and other federal data; import GIS shapefiles; and create interactive maps on the web. The focus will be on mapping (making a visual). Please see the schedule for related workshops that focus on performing geospatial analysis using R, and that showcase some of the geospatial work that you can do with programmic tools such as R and Python.
Do you want to incorporate paper maps into a digital project? Overlaying scanned maps can help illustrate change over time, offer additional context, provide a visually appropriate background, and give access to spatial data not available in other formats. This workshop will teach you how to bring paper maps into modern GIS applications. We will cover concepts and techniques related to georeferencing, the process of aligning map images with the correct locations on the earth. We will also create new GIS data by extracting features from scanned maps.
Are you looking for an open source option for GIS to make maps or to analyze geospatial data? In this workshop we will demonstrate how to import and analyze data in QGIS and discuss the benefits of using QGIS over other GIS software. In the process, we'll go over some general GIS concepts such as layers, types of GIS files, and projections, with an emphasis on feature (vector) layers. This is an introductory class, and no prior GIS experience is needed.
This workshop is part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you'll learn the fundamentals of R, everything you need to know to quickly get started. You'll learn about visualization using ggplot2, how to make interactive charts for use in dashboards, how to reshape and merge data, and be introduced to models. Part 2 requires the familiarity of part 1.
Some people who want to do spatial (geographic) analysis don't know GIS software such as ArcGIS Pro or QGIS, but do know R or Python. In this workshop, we will present a command-line, or code-driven, approach to working with geospatial data. This method offers several advantages over traditional GIS software that can make your work easier, faster, and more reproducible! We will share a showcase of spatial data science workflows that demonstrate the possibilities opened up by tools available from the command-line and scripting for processing, analyzing and visualizing data.
R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you'll learn the fundamentals of R, everything you need to know to quickly get started. You'll learn how to access and install RStudio, how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA), and how to generate reports. Part 1 has no prerequisites and no prior experience is necessary.
ArcGIS Pro is the newer alternative interface to the tried-and-true ArcGIS Desktop software (ArcMap), with essentially the same functions, but with more of a MS-Office feel. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project, and it's more fully integrated with ArcGIS Online (see schedule for workshops on ArcGIS Online or on StoryMaps). ArcGIS Pro can help you analyze or visualize digital data that has a locational component, and we'll discuss starting points for obtaining data.
Work together over Zoom on an Intro to Tableau assignment. Attendees are expected to watch my Intro to Tableau Fall 2019 video first, or have some experience with Tableau. This will be an opportunity to work together on the assignment from the end of that workshop, plus have questions answered live. Tableau Public (available for both Windows and Mac) is incredibly useful free software that allows individuals to quickly and easily explore their data with a wide variety of visual representations, as well as create interactive web-based visualization dashboards.