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Sanford Fleming Building

Engineering & Computer Science Library

Sandford Fleming Building, 10 King's College Road, Room 2402
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Library closed Monday February 18

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Library Help

The Engineering & Computer Science Library is located in the Sandford Fleming building on U of T's beautiful St. George campus. This channel will provide helpful information on conducting research and accessing resources at the library and beyond!

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Workshops

Workshops

Declassified documents, Access to Information/Freedom of Information requests and hard-to find government information
Date: Tuesday, February 26, 2019
Time: 4:10pm - 5:30pm
Location: Robarts Library
Campus: St. George (Downtown) Campus

Come and explore the declassified secrets of government information collections related to national security, foreign affairs and policy. We will also discuss best practices for Access to Information/ Freedom of Information requests and helpful tricks for tracking down elusive government information, including electronic content recently removed from government websites.

Where: Robarts Library, 4th floor Electronic Classroom (4033)

This is part of the Government information research series:

In this series of three workshops, learn to navigate the world of government information which provides official, authoritative, primary sources for almost every topic.

 

For further details, contact Nich Worby

Esri Insights
Date: Thursday, February 14, 2019
Time: 10:00am - 12:00pm
Location: Map & Data Library
Campus: St. George (Downtown) Campus
Spatial Analytics: An Introduction to Insights for ArcGIS

In this workshop, attendees will be given an overview of the new tools available from Esri that will enable them to answer questions they didn't know to ask from their data, quickly delivering powerful results via Insights for ArcGIS. Insights for ArcGIS is Esri’s new web-based, data analytics workbench for exploring and visualizing spatial and non-spatial data. Through a combination of lecture and activities, attendees will also gain hands-on experience via a worked example containing freely available data from open sources.

Working with Messy Data in OpenRefine
Date: Tuesday, February 19, 2019
Time: 10:00am - 1:00pm
Presenter: Kelly Schultz
Location: Map & Data Library
Campus: St. George (Downtown) Campus

In an ideal world, any data you collect or obtain would be clean and formatted perfectly for analysis and visualization. But the reality is that data can be really messy! Cleaning and reformatting your data can be a time-consuming and tedious task, but there are ways to speed things up and automate repetitive tasks. OpenRefine can help!

This workshop will provide an introduction to OpenRefine, a powerful open source tool for exploring, cleaning and manipulating “messy” data. Through hands-on activities, using a variety of datasets, participants will learn how to:

    Explore and identify patterns in data Normalize data using facets and clusters Manipulate and generate new textual and numeric data Transform and reshape datasets Use the General Regular Expression Language (GREL) to undertake advanced manipulations Use APIs to augment existing datasets

Location: Robarts Library, 5th Floor. Map & Data Library Computer Lab

Introduction to R
Date: Tuesday, February 19, 2019
Time: 2:00pm - 4:00pm
Presenter: Nadia Muhe
Location: Map & Data Library
Campus: St. George (Downtown) Campus

This is a hands-on workshop that introduces the R statistical programming language using RStudio. The topics covered are reading, exploring, manipulating data and running some statistical tests. It is most suitable for new R users or users looking to review their knowledge in R.

Location: Robarts Library, 5th Floor. Map & Data Library Computer Lab:  https://mdl.library.utoronto.ca/technology/computer-lab

Introduction to Data Visualization for Startups
Date: Thursday, February 21, 2019
Time: 10:00am - 1:00pm
Presenter: Kelly Schultz
Location: Robarts Library
Campus: St. George (Downtown) Campus

Data visualization is an important tool in keeping your startup competitive and relevant. It allows you to quickly examine large amounts of data, and identify trends and issues. It also lets you effectively communicate your value to potential customers, stakeholders, and investors.

Through a combination of lecture and activities, this three-hour workshop will use a data visualization workflow model to introduce you to best practices and guidelines for designing effective visualizations and evaluating visualizations.

For the final part of the workshop, you will get a chance to work with a common data visualization tool, Tableau Desktop, creating visualizations such as a line graph of average temperature by month, a treemap of population by world regions, and a stacked bar graph of word frequencies in Romeo and Juliet.

For more information on Data Visualization, including topics covered in the workshop, and services offered by Map and Data Library, see the Data Visualization Guide.

Next session: Thursday Feb 21, 2019, 10 a.m. - 1 p.m.
Location: Robarts Library, 4th Floor Electronic Classroom, Room 4033. Directions
Instructor: Kelly Schultz, Data Visualization Librarian, Map and Data Library  |  kelly.schultz@utoronto.ca

 

Note: This workshop is free and registration is required. However, we have a minimum attendance threshold for this course to run. If you cannot attend this workshop, and fail to withdraw 48+ hours in advance, thereby preventing others on the waitlist from filling in your spot, your library account will be charged $10. Please note, it is your responsibility to sign-in next to your name on the attendance sheet for this workshop. A blank signature spot will result in a penalty charge.