Quick Tips: Mapping

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Inspired by some recent support desk questions, this week’s SimplyMap report will provide some useful tips and tricks to help make the most out of your maps. Let’s get started!

First, let’s take a look at the map that we will apply changes to. This is a map showing Median Household Income for the city of Chicago:

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At this level of zoom and geography, your map will display by ZIP Codes. If you’d like to see a more granular map, select a smaller geography from the View Data By dropdown in your map legend. The map below displays the data by census tract:

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Exploring SimplyMap Data – Organic Food Use

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In this week’s SimplyMap report we take a look into the SimmonsLOCAL dataset to determine which cities in America have the highest percentage of residents who consume organic food products. Let’s jump right in.

Before we rank the variable, % FOOD – GENERAL | ORGANIC FOODS | ORGANIC FOODS – HH USES? | YES, 2014 let’s do a quick search for “organic” to see how many related variables are in SimplyMap. Open the Variables tab, click on Search, and type in “organic”.

You will then get a list of all variables in SimplyMap that contain the keyword organic.

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Exploring SimplyMap Data – Median Rent

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In a previous blog entry, we highlighted the benefits of having multiple years of data available for the same variable. This allows users to identify trends over time. Keeping with the same theme, this week we’ll take a look at how the median rent has changed between 2000, 2010 and 2015.

Let’s take a quick look at the US and move on to some cities we suspect may show a marked increase.

First, create a Standard Report and navigate through the median rent variable at this path: Census Data » Housing » Rent.

Next, hover over the variable and use the Select Variable Year option to select the years 2000, 2010 and 2015. Picture below for reference.

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College Bowl Game Data

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With the final week of the college football season in the books, and bowl game selections having just taken place, we wanted to search within SimplyMap to see if any data pertaining to college football bowl games is available. Here’s what we found.

To start, open up the search function within the Variables panel.

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In  a previous post, we covered how to use the variable search function to search for multiple terms. First, we searched for “football”.

Not surprising, the results yielded a large number of football related variables at 648.

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Thanksgiving Data – Macy’s Parade

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With the Thanksgiving holiday last week, we decided to take a quick look into SimplyMap to see what pertinent variables are available for analysis.

First, open the Variables panel and click on Search. Type in “Thanksgiving” in the available box.

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The results display a total of 12 variables related to the keyword ‘Thanksgiving’.For fun, we also searched the keyword: turkey. Care to take a guess how many turkey related variables are in SimplyMap?

If you guessed 122, you’re right! There is a grand total of 122 variables related to the word ‘turkey’, ranging from:

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Rise of the Tablet

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In a previous blog we demonstrated the power of utilizing multiple years for the same variable. We found that the usage of Amazon.com had grown substationally from 2008-2014. In this week’s blog, we’ll take a look at the growth of tablet ownership in the US. It seems  iPads, Surface Pros and other tablets are everywhere these days. Let’s take a look at the data to see how much tablet ownership has grown in the last 3 years.

To find this information, we’ll look into the SimmonsLOCAL data set. For those unfamiliar with this data, SimmonsLOCAL is a powerful targeting and profiling system that provides insights into consumer behavior for all of America’s 210 media markets on a local level with 60,000+ data variables, including over 450 categories and 8,000 specific brands.

The quickest means of pulling the data here would be to create a Standard Report. First, click on New Tabular Report > Standard Report.

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Next, navigate through this path: SimmonsLOCAL » CELL/SMARTPHONES/TABLETS » TABLET (NOT PC/LAPTOP) » TABLET (NOT PC/LAPTOP)-DO YOU OWN?

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Using SimplyMap to Identify Relationships Between Variables

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Inspired by a recent help desk ticket, we wanted to discuss how users may utilize SimplyMap to identify relationships between unique variables. For example, does having a college degree significantly impact the median income of areas? And how does median income effect spending on eating out? Let’s take a look at ZIP Codes within the state of North Carolina.
To quickly analyze a larger area by its smaller geographies, a Location Analysis Report is ideal.
Click on New Tabular Report > Location Analysis:

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Choose the state of North Carolina, and navigate to the variables you would like to see compared and analyzed. In this example, we’ll use:

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How to Use the SIC Search Feature

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Did you know that SimplyMap allows you to search for businesses by NAICS or SIC codes? Searching by these codes is a great alternative to the general keyword search. Using the keyword search function to search for a business is the quickest method of compiling a business report or placing businesses onto a map. But searching by keyword may result in a broad mix of different business types. Narrow your search to a specific business classification type to generate more meaningful results.

Let’s take a look at an example of searching for coffee shops by SIC code in Austin, Texas.

First, Click on New Tabular > Business Report to start a new report.

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Open the locations panel, and search by City > Austin. Next, open the Businesses panel to bring up the New business search. Click on the Add Condition button to bring up your options.

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