1. Wikimedia provides a web API that we can use to access Wikipedia data. To learn more about how to use this API, see: https://en.wikipedia.org/api/rest_v1/
2. This page helps you construct URLs to make specific API calls. You can expand the section you are interested in, fill in the form and click on the Try it Out button to see what results you will get from a call. For our example, we are going to use the summary page example. On the Wikimedia REST API documentation page, first expand Page Content.

In this activity, you are going to:

1. Add a column of JSON data resulting from a Wikidata API call
2. Parse this JSON data column to obtain the property “first line”

In this activity, you are going to:

1. Reconcile (match) the titles of books with Wikidata
2. Add new columns of data from Wikidata

In this activity, you are going to:

A.      Create a new project by making an API call to pull in data and parse the resulting JSON

B.      Manipulate the data by using GREL date expressions and facet the data to make discoveries

Table of Contents

• Introduction
• Setting up working environment
  • Step 1 - Download the DEM dataset
  • Step 2 - Download City of Toronto boundary file
  • Step 3 - Setting up a working directory and establish folder connection
• Clipping Raster - Using ArcToolbox
• Clipping Raster

Scholars GeoPortal is a geospatial discovery tool that provides access to large scale geospatial datasets that can be used for mapping or analysis. These datasets encompass both vector and raster data on a variety of topics such as land-use, transportation networks, census geography, aerial imagery, geology, and more. Furthermore, Scholars GeoPortal allows users to customize their data extracts by selecting the appropriate area of interest, temporal extent, file format, and coordinate system for their work.

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). The interface enables the selection of relevant variables and census geographies, providing access to data down to the dissemination area (DA) level. Census data can be incorporated into analytical and GIS software.

Scraping tweets using Python