 Hey there, Chad Bonder here for High University Libraries. In this video I'm gonna show you how to use SimplyMap to map the percentage of people who are interested in a particular product or a particular activity. In this case I'm looking at people who are interested in going fishing or hiking or canoeing or mountain biking, that sort of thing. Now what I can do if I'm gonna open a store and say like Spokane, Washington, I need to determine where those people are who are engaging or buying that product or engaging in that activity versus where the competitors are, where are the other sporting goods stores in that location. In order to figure out if I'm gonna be too close or too far away from my competitors. This video shows you how to find the information and map it out in a database called SimplyMap. A great way to figure out your demand scenarios and your feasibility of opening a business in a particular location, so here you go. So when you get to SimplyMap, the first thing you wanna do is create an account with SimplyMap. You don't necessarily have to, you can sign in as a guest, but your work as it says here will not be saved. If you do create an account, once you sign in, I'm gonna sign in as me here, it'll actually load the last tab you're working on in SimplyMap. And SimplyMap is a great database. Sometimes the name's a little bit funny because sometimes the searching in here is not so simply. It's easy to find information, know what you're doing, but it can take a while to find the information. So I definitely encourage you to create an account so you save your stuff and it'll appear when you first log in. When you first log in, it'll be presented with this screen where you can launch a new map straight from the start. I'm actually gonna do a report first because I wanna compare different variables in Spokane Washington as far as outdoor interest. So I'm gonna click on standard report here and you can do launch your standard report wizard or click start here. I'm actually gonna start over here because it's pretty intuitive. I'm gonna do locations first and I wanna do a city. You can also do a county, you can do a zip code and so I'm gonna do state is Washington and I'm gonna do city is Spokane. And we'll use this location. You can also go in and say I'm looking for, compare it to Seattle as well and use this location and we're gonna close that. It's not gonna really do anything because we don't have any data yet. So what we can do now is click on variables and here's where it can get a little tricky because you don't actually know where the variables are. So what I'm gonna do is actually go over here and search and let's say I wanna search for hiking. So I'm gonna search hiking and it's gonna bring up 21 variables here. You can see we have a percent who bought, looks like one pair of hiking shoes in the last 12 months, percent who bought three pair, things like that. If we scroll down some more, we see there's information on percent who do hiking every chance they get. So that might be something to look at here. You can see that it's in the sports and fitness category under the Simmons local folder. So what I would encourage you to do is you can actually go and browse to here. For the meantime, I'm actually gonna click use as variable and I'm gonna find a couple others in here. Let's say if you want the number as well, use this variable. Now if you're gonna compare a larger city to a smaller city, it might be easier to do the percentage versus the total number. Here's percent who like to travel and who do camping and hiking when they go traveling. So we'll use that variable. And so different things like that. So percent who do occasionally do hiking use this variable and if we close out of that, it should add our data here and comparing Spokane, Washington to Seattle, Washington. All right, so if we want to, we can actually add another location. And if we say let's look at cities and let's do, let's do Indiana and we'll do Muncie, Indiana. Use this location. And as we close out of that, you can see how the percentages change based upon the different averages and percentages there. Now, I mentioned before, if you click on this view metadata here, you can see that this path is in the Simmons local folder, entertainment, leisure, sports and fitness, things like that. So you might actually go under and look for under variables. There's Simmons local. If you scroll down, there is a entertainment leisure. Went too far there, entertainment, leisure. Here is sports and fitness. All right, so here we have seldom every chance I get occasionally. And let's just do participate last 12 months here. You can see here's people who did, number who did fishing, okay. Percent who did fishing. Here's your percent who did hiking, backpacking, number who did hiking, backpacking. Right. Okay, let's see. Here is bicycling mountain road, pretty cool. Big Phantom mountain biking and road biking. We can click use this variable. So these are all kinds of things we can look at in pertaining to our opening and outfitter or something like that. Here's percent who did canoeing and kayaking. That's pretty cool, right. And use this variable. And as we close it out of that, we see we found all these other variables just by browsing to that Simmons local folder and we have this percentage here. Now, if you wanted to, you can go into locations and if you wanted to do like zip codes in Spokane, Washington, all you need to do is go into locations, for example. And then let's say we go under zip codes or let's say if you wanted to look under cities, you can do it that way. So you can definitely browse down to the more local level there. Okay, if you wanted to save this under actions here, you can download the report as an Excel file, things like that. You can also create little nifty charts in here as well to kind of give you a quick chart of, well, that's the number, that's going to be a silly chart there. Let's do a percent who did canoeing and kayaking and do a creator chart. So that looks better rather than total number. The percentage looks better when you're comparing smaller to bigger areas there. So a good way to kind of find information that way. While you're in SimplyMap, it's probably a good idea to look at the variables again and go over and look at like census data or consumer expenditure data. Both of these will give you information as far as like household income, things like that. So if you want to find information about your local market and overall household income, you can see there's percentages by breakdown, things like that. You can look at household average, household per capita. And basically it just works the same way. Just click use this variable. And when you do that, your variable will go to the very top of your list. And so here we can look at what that looks like in each area there. So a good way to kind of get other census data in there as well. Again, you can go under actions here and download the report as an Excel file as well. Now, if we want to map this and these variables in our area of Spokane, what we can do is go back to our map tab. Or if that tab is not open, you can just click on new map and it will open a tab here. And you can go into variables. And because we've already used these variables, let's just do recent. And you can see the variables that it just brought up there. So if we just want to look at percent who did hiking in the last 12 years, or last 12 months, excuse me, we can click use this variable and close it all that. It's going to center on the US, middle of the US here. So we want to go quickly over to locations and let's look at, let's do cities. And let's do, we can also, we can do Washington there. We've also gone to recent here as well. And then find Spokane Washington, use this location. All right, and close out of that. What it's going to do is drill down on Spokane Washington there. And so it looks like most people are in the 12 to 16% category. Now this is something we looked at. We looked at percent who went hiking in the last 12 months. We might want to change this, change the variables to recent. And let's say something that maybe percent who go hiking every chance they get. Let's use this variable. And we'll probably see a little bit different breakdown in the colors there. So there you go. And so you can might be able to use this as you drill down further. We can zoom in a little bit. And as we get further, it's going to break it down into zip codes and even get down into census tracks for us as well. Once it reloads here. And I can use this to understand, you know, your feasibility analysis as far as like where are you going to set up a location for your store? And is there a store there? Once you've created this map, all you have to do is go up under actions and you can export the map image as either a PDF or a JPEG or a GIF and put it in your PowerPoint and use it that way. If you like, you can edit the legend here and go and change your colors to one of the other three color options there. That sort of thing. So good way to get data that way. You can also go in and edit the data down to local natural breaks. And you may find you have a little bit better information to look at there and it may break it down a little bit differently as far as the colors look. And you can see it does tinker with the actual data points a little bit there as well. So again, you can go in and say, let's look at local quantiles. And you can see it does actually break it down that way. And you can see have a different color palette there as well. So good way to kind of really get information that way. Hope this video helped you with your research. Should you need more help, look for the contact link on the business blog. We got to help you any way I can. Take care and have a great day.