Types of Reports

Below is a list of report types to help you choose the right report for your research.

Note: These can all be exported in various formats.

Map

A visual reference depicting mapped data variables like household income across a city. You can also overlay business points on top. Maps can be exported as high-resolution images.

Comparison Table

Add any locations (provinces, census metro areas, census tracts, etc.) and any variables to compare the data across each. For example, compare spending data for your home census tract to the metro area or province.

Ranking

Analyze data for smaller geographic units within one larger geography. For example, analyzing all of the census divisions in Canada or analyzing all of the census tracts within a metro area.

Quick Report

A well-formatted report that compiles a comprehensive list of key data variables for any location. Use this to get a quick snapshot of the demographic makeup of some locations.

Ring Study

Select a central location and SimplyAnalytics will automatically calculate your chosen variable in 1km, 3km and 5km rings around it. Use this to understand the characteristics surrounding a specific location.

Business Table

Provides a data table with detailed information about your business query. For example, create a list of all Mexican restaurants in the city.

Related Data Table

Add one data variable to this report and SimplyAnalytics automatically adds all of the related data for you. For example, if you add "% Households w/ Income $50,000 to $74,999", the report will show all of the other income ranges as well.

Time Series Report

Add one data variable to this report and SimplyAnalytics automatically adds all years of data for that variable. For example, if you choose "Median Household Income, 2017", the report will also show data for the years 2010, 2011, 2012, etc.

Bar Chart

Bar charts are a great way to visually compare data values across locations. Add two or more locations to the view and select the desired data variable to create your chart.

Scatter Plot

A scatter plot is a great tool for visualizing the relationship between two data variables. Select a location and a geographic unit (e.g., Census Tracts in Vancouver), then select an x-axis data variable and a y-axis data variable. Each dot represents both the x and y values for a single location. The line of best fit and correlation value indicates the direction and strength of the relationship between the two variables.