This guide is primarily designed to help users unfamiliar with the CANSIM database to find and download data through CHASS.
Please note that a University of Toronto IP address is required to access CHASS.
Note: CANSIM data may also be accessed through the Statistics Canada website. Tutorial available here.
This tutorial provides an example of finding, extracting, and downloading data from Scholars GeoPortal. Scholars GeoPortal is a geospatial discovery tool that provides access to large scale geospatial datasets that can be used for mapping or analysis. Scholars Geoportal can be used to access both vector and raster data on a variety of topics such as land-use, transportation networks, census geography, aerial imagery, geology, and more.
The CHASS Canadian Census Analyser allows members of the University of Toronto research community to generate custom tables from the Census of Canada (1961-2016) and the National Household Survey (2011). This tutorial provides an example of extracting and downloading data from CHASS.
This online tutorial will provide an introduction to SimplyAnalytics and a few of its many possible uses. SimplyAnalytics is a web-based data visualization application. It can be used to create simple thematic maps and tables from census and other socio-demographic data, as well as business point data.
The guide in this PDF will teach the user how to generate contours using DEM files in Global Mapper.
The following PDF contains an article that elaborates on citation rules for machine-readable data in Canadian historical journals.
This document compiles online resources that help to build terrain 3D models with a variety of software-options. Brief introductions on the pros and cons of each option are provided.
This guide is primarily designed to help users unfamiliar with the CANSIM database find and download data.
Note: This guide outlines how to search for CANSIM data on the Statistics Canada website. University of Toronto faculty, staff, and students may also download CANSIM series for free via CHASS. You will need to be using a UofT IP address to access CHASS.
Stata is a good tool for cleaning and manipulating data, regardless of the software you intend to use for analysis. This workshop is suitable for both first time data-cleaners and for those familiar with data cleaning.
This tutorial demonstrates how to load SDA data for use in Stata.
Link to CHASS list of how-to guides for SDA: http://sda.chass.utoronto.ca/legacy_sda/sda.htm#how_to
Link to Datacamp's free intro course on R: https://www.datacamp.com/courses/free-introduction-to-r
This guide gives users an introduction to Stata. The topics covered are importing, exploring, modifying and managing data.
An overview of the guide provided by Princeton with a link to the original guide. If you want to learn how to use Stata, you might find this guide by German Rodriguez at Princeton University useful: http://data.princeton.edu/stata/default.html
Comprehensive set of guides that include installing R, learning R fundamentals including graphics and advanced data analysis examples.
Comprehensive set of guides that include installing SAS, learning SAS fundamentals and advanced data analysis examples.
This tutorial demonstrates how to scrape tweets for data analysis using Python and the Twitter API.
Link to Scholars Portal guide: http://guides.scholarsportal.info/odesi
Comprehensive set of guides that include obtaining SPSS, learning SPSS fundamentals and advanced data analysis examples.
Introductory guide to the Stat/Transfer utility (version 10).
Comprehensive set of guides that include installing Stata, learning Stata fundamentals including graphics and advanced data analysis examples.
Summary statistics are a way to explore your dataset, find patterns, and maybe even refine your question of interest. In this workshop, you will learn to use Stata to create basic summary statistics, cross-tabulations, and increasingly rich tables of summary statistics.
UCLA's introductory guide to various statistical analyses in SAS: