Plotly is a "github for data". Teams in industry and academia that work with Excel, Python, MATLAB, R & other programs use Plotly for sharing and discussing graphs and data within these teams.
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Training: Intro to Data Visualization in ArcGIS
October 29, 2014
The goal of this lab is to understand basic concepts and functions of Geographic Information Systems (GIS) and produce geo-coded maps (displaying data) using ArcGIS.
October 14, 2014
This workshop will focus on becoming familiar with searching and downloading the data published by the US Census Bureau.
Training: Georeferencing with QGIS
September 30, 2014
In this workshop we will learn about the basic concepts involved in georeferencing and get some hands-on experience with the process in QGIS, a free, open-source GIS tool.
September 22, 2014
This workshop will cover theory and techniques for maximizing the effectiveness of figures used for visualizing information.
April 18, 2014 to April 21, 2014
This 2-part workshop will cover theory and techniques for maximizing the effectiveness of figures used for visualizing information.
Training: ArcGIS to Grasshopper
April 15, 2014
Using Grasshopper and Finches, a plugin for Grasshopper, we will experiment with importing GIS shp files into Grasshopper for further manipulation.
Training: Data Visualization in Grasshopper
April 8, 2014
In this workshop, we will use grasshopper, a graphical scripting interface for Rhino, as an engine to parse and related diverse data sets with each other, and create a wide range of data visualizat
Training: Webscraping
April 16, 2014
This workshop will cover how to create, customize, and run a web scraper using python and scrapy. We will learn how to locate and extract data from HTML web pages using the Document Object Model.
Training: Georeferencing with QGIS
April 10, 2014
In this workshop we will learn about the basic concepts involved in georeferencing and get some hands-on experience with the process in QGIS, a free, open-source GIS tool.
