 Share my screen with you and we'll go to this browser window. So hopefully you are doing okay this morning. Once again, I'm Chad Banger. I'm the business librarian here at Alden Library. First of all, if I want to thank you for using the guide I made for you. Since August 26, you all have viewed the guide and used it 12,488 times, which is pretty awesome. So that tells me y'all have been doing some pretty good work there. Okay, so I applaud you for your efforts in your Project 1. Okay, so great work there. So what we're going to be doing today is looking at stuff for Project 2 that we did not address or I didn't address personally in our previous presentation for Project 1. I'm looking at four different resources today in our time together, and just kind of give you a brief rundown of each of those resources. Okay, one of which is, we'll start off with here in our Consumers and Customers tab section, is Simmons Insights. Now what Simmons gives you, it gives you a little more granular information than what you might find in Mintel or Passport or some of the other market research databases. Okay, so it's a great tool to really kind of get consumer demographics for a particular product, or for a particular attitude, or people who engage in particular activity, that sort of thing. Okay, so let me launch Simmons Insights here. I do want to cost you that this one has like 50 simultaneous users. So if you can't get in, unfortunately you'll have to get up earlier or stay up later, when you do your research. Okay, so we kind of cap out at 50 simultaneous users. So over the next two or three weeks, it may be a little sometimes occasionally difficult to log in. Okay, so just bear that in mind. Okay, now it first opens when you go launch Simmons, it goes to this page here. Now if I like to kind of start you out in a little more basic way of using this thing, and I actually start you under essentials and go to quick reports here. Okay, so let's say for the sake of my presentation today with y'all, that I'm looking to open a health food store. Okay, so my first thing to look at is basically, I want to know what consumer information about people who shop at health food stores, right? Now I can get some of the information from Mantell. There's reports in there in Mantell for health food stores, but there's also stuff in here. If I go and say let's search for health food, right? We have in this case, we're finding consumer attitudes about health food, right? Or maybe we want to say here's I like healthier food, I like to buy healthier ingredients. If we go up here and say, well, let's look for natural food, right? Here's stuff on things like when shopping for food, I especially look for organic or natural foods. Agree a little, disagree a little. Let's look for the people who agree a lot, because if I want to open a health food store, organic food store, I may be wanting to look at the people who are really, really going to be my first consumers there. Okay, so let's look at that. I'm just going to click on that one. And what you'll notice is we have a sample size. So what Simmons does is they survey people across the United States and ask them a bunch of questions about different products and what they eat and what they watch on TV. If they go to sports events, all this kind of stuff and get demographic data for them, okay? So they do a six month survey and they also do a 12 month survey, okay? The six month survey can be, the questions can be a little bit different sometimes, but if you use the 12 month survey, instead of looking at 1938 people who said, yes, I agree a lot to this statement, we can look at, use the 12 month survey, now we've got, we double that, okay? And what I want to do in here is I want to look at a demographic profile of this consumer and this consumer is my target consumer that I'm after, okay? So I'm going to make that my target. And when I do that, it puts it down here for us and you'll notice that the arrow is active and I can click on run analysis here, okay? So this is going to give me a demographic profile of people who say when shopping for food, I especially look for organic or natural foods. I agree a lot to that statement, okay? So if we look at this, of the total sample size in the Simmons survey, which was 26,000 people, 3717 of them said, hey, I agree to this statement quite a bit a lot, right? Which is 13.11% of that survey, okay? So weighted out, this is the weighted average with three zeros on it. So based upon this survey, this says that 31 million people in the US agree a lot to that statement or 13.11% of the population, okay? And if we scroll down here, here's where we see we get general statistics like household income, median age, their education level, right? Their ethnicity, how much money they have, right? Their age group, gender breakdown in the right hand corner, that sort of thing. So it looks like we're after a largely female market, right? Highly educated, right? With a substantial amount of household income, right? So, and it looks like more than a third of them have children in the household, okay? So there's one way that you can do that, right? And we could do this, we could do a demographic profile like this and then compare it to people who shop at Whole Foods and just do the same sort of thing, right? So we could go in and do that sort of thing, right? The other way you can use this is you can create a cross tab, okay? Now I'm gonna go back and change this to our 12 month study again, all right? And let's do our natural food, okay? And let's see, we're gonna say agree, let's see here, agree a lot. When shopping for food, I especially look for organic or natural foods. We're gonna say agree a lot and what I'm gonna do in here is make a table, okay? And so I'm going to use this as my column. I'm gonna use my, this particular data point as my column, okay? All right, we do that, it goes down the columns down here on the left-hand side, okay? Right down here. Now what I wanna do now is maybe in my area there's not really any health food stores that I'm looking at maybe, but there are Kroger's, right? So if we go and just look for Kroger, we can say let's look at Kroger, right? And we're gonna use that as our row because we're gonna compare people who say they buy organic food to people who shop at Kroger, right? We can do the same sort of thing with Walmart and we're gonna have to do Walmart and then do food here, I believe, right? So let's do Walmart and there we go. Walmart Supercenter for food stores, that's what we want. So people who shopped at Walmart one to three times in the last four weeks, okay? Just kind of a side point, I was doing four to nine times but my sample size got too small, right? Which is kind of funny because I have four sons so my wife and I actually go to the grocery store at least twice a week, right? So for me, one to three times is not a whole lot of times to go to the grocery store, but according to the data, most people don't go four to nine times in a period of four weeks. Most people are doing this particular behavior here, okay? So we're gonna use that as our rows as well, all right? And we're gonna compare that to whole foods. So let's say our store is gonna be like Whole Foods, okay? That's kind of our benchmark, okay? So we're gonna use that to our rows as well, all right? Now, once we're satisfied with that, we can kind of keep doing this until our hearts contend and build a big old table but I'm just gonna leave it like that for the time being. And now we can click on Run. And what this will do is it'll go in and do this sort of cross tabulation here for you, okay? Now, this is the total sample right here. So this is everybody who filled out the survey. So it's not cross tab with anything, okay? So basically, if you start here at the vertical, right, if we start with a vertical, we're gonna read it from the top down. Of the total population, 6.7% shopped at Kroger one to three times in the last four weeks, okay? Of the total population, doing vertical again, almost 30% of the total population shopped at Walmart in the last four weeks, right? And same thing, of the total population, 3.8% shopped at Whole Foods, okay? Now, if we go over here and do this, if we do it by the same token over here, of the people who said they agree a lot that I buy organic or natural foods whenever I can, right? 5.8% of them shopped at Kroger in the last four weeks, one to three times. 26.8% of them shopped at Walmart in the last four weeks. 9.4% of them shopped at Whole Foods, okay? Now, we would assume that Whole Foods would be higher because they have more natural and organic food selection and that sort of thing, right? But we're looking at Walmart, and you're like, wow, a lot of people shop at Walmart who buy organic foods. Well, that's probably because a third of the total US population already shops at Walmart, right? So we're probably better off reading this from the other direction, using the horizontal. So if we use the horizontal over here, we can say of those people who shopped at Walmart, 11.7% of them, especially look for a natural organic food, right? So that's not really that big a deal there, right? So considering that 13.1% of the total population looks for organic food. So actually the people who shop at Kroger and Walmart are actually lower than the total population. Of the total population, 13.1% of them look for organic food, right? But if you look at Whole Foods, of people who shop at Whole Foods, 32.3% of them look for natural organic food every chance they get, right? And that's why we have this nice little green arrow here that indicates this index, that these people are 146 times more likely to look for organic food, right? So that's kind of how you read that, right? So you can do all this kind of stuff and all these kind of cross tabulations with this kind of data, okay? All right, so that is Simmons. I do wanna say you can actually go over here once you create a report, you can export it as an Excel file. And once you'll get, and my Excel is a touch slow to open, I've got a bunch of other kind of business add-ins that make it a little sluggish. What you'll get is basically this report with some data in it and some additional tabs to look at too. So here's our data, blow it up for you so you can see a little bit. And then we get additional tabs across the bottom that will get a little more granular in there, okay? As you look at it. So it's a really kind of a cool way to kind of break up your data. And in here, we've broken it up. They've done the work for us ahead of time to kind of go in and say, here's different ways that you can kind of really look at people across the spectrum there, okay? All right, so that is Simmons insights there. I do wanna show you, I know I flew through that. I have a whole huge guide right up under here, my tips and tricks guide. So this here will take you how to create a demographic profile. This here will take you how to create a cross tab. And within that guide, I've got a video tutorial basically showing you what I just did. And here's all the sections of this and how to read a cross tab and all that kind of stuff. And then I've got basically step-by-steps, right, of how to go through and do what I just did for you. So you'll have some guidance there to kind of do some initial investigation there before you reach out with questions, okay? All right, so again, that's Simmons insights under the consumers and customers tab on my supermarket guide. All right, so the next one we'll look at here is a database called simply analytics, okay? Now, what this will do is we can use similar kind of Simmons-like data down to a local level, okay? So as you're kind of identifying either a place where you wanna open a brick and mortar store or maybe a place where you want to target a particular market for advertising for your web application or your grocery stores app or service or whatever, right? You'll notice right here that it's, I'm gonna sign it with my account. You can create an account here. The nice thing about signing an account is that, wow, that's interesting. I don't know why it's got a library card number there. That's bizarre. We don't need that. What you will do is basically create an account right here and it'll remember what you worked on last time. You can also sign in as a guest, but the next time you log in, it won't remember what you were using. Okay, so I'm gonna sign in here and make a quick note to simply analytics, library card thing, cause that's not supposed to be there. All right, so last time I was doing something in here, I was doing something with Chattanooga and Nashville and places like that. So you can see I've already got some data in here. I'm gonna start over from a new project just like if you've never used this before, okay? Simply analytics is location-based. So when you start over, when you start log in, you're basically gonna say, well, let's look at Columbus. Here we'll do Columbus, Ohio. We can do a zip code, right? So we can do Athens, Ohio zip code. We can do Portland, Oregon, right? We can do, let's do County, whoops. There's Hamilton County, Tennessee. That's where Chattanooga, my hometown is, right? So we can kind of go in and compare different places in here like this, okay? We can do a whole state. Let's just do Ohio as a state. And then we do next, okay? There's a lot of complexities within simply analytics. Sometimes it's not quite so simply. So in order to kind of remedy that, the database wants to provide you with some what they call seed variables to kind of get you started here. And I typically always check a population. I'm always interested in like, how wealthy the population is. And then I will occasionally do a number of households and then I often don't really care about how old the housing is, but maybe I do care about how old the population is, okay? So we do that. You can also create your project without seed variables, but it's kind of nice to have this built in already. So we create our project and what it'll do is it'll actually go in and it'll start looking at a map first, okay? And I actually prefer to go over and look at the quick report first, okay? So the quick report, let's say we were trying to look at four or five different locations for our possibilities of where we're gonna open our store or where we're gonna target our marketing efforts for our app or service, right? So this gives us basic kind of census-like data for these areas. And so the nice thing about this is you can go over here and you can export this as Excel file if you just want to just this report. I like to use this and you can export it right there. I like to use this to kind of go down and say, well, you know, let's look at, oh, well, here's an easy way to get people who are 18 to 24 and 25 to 34. I'm adding these variables to my project, okay? If I scroll down, let's see, let's look at, we wanna see maybe wealthier people, right? So we, maybe we say, let's do $200,000 and over, right? Because we're $100,000 and over because those are people who may be more inclined to buy organic foods, right? And then we want people who have a little bit higher educated, at least they've got a bachelor's degree, okay? And then here's language is spoken, that kind of stuff, okay? So this is a kind of a nice way to kind of go over here and once we get to our comparison table, you'll notice that the seed variables were there, right? And so now we can actually go up here under view and edit our view and click on the other things that we want and maybe we don't really care about this, right? And we can basically go in and select which ones we want to look at our report there, okay? And once we do that, we click done and it puts it into the list for us. So this is kind of a nice way to do this. You can also go over and use the data search on the left-hand side over here and if we search for organic food and do a search here, here we have percent of people who agree a lot that they shop for organic food, right? That looks familiar, right? Cause we just saw it just a few minutes ago in Simmons. So if we do that and do the percent and do the number, right? This is the way that we can go in and we can also go and say, let's look for people who shop at Whole Foods. And let's see, uh-oh, there we go. Number of times shopping to the very bottom. So percent of people who shopped at Whole Foods, right? And number of shopped at Whole Foods in the last four weeks, right? So if we do that, so now we have a big list here that we can use to kind of compare, okay? It's zero in Athens, Ohio because there's not a Whole Foods in Athens, Ohio, right? Even though I know some colleagues probably go to Columbus, right? And or friends go to Columbus and shop at Whole Foods because it's a database and they kind of rely on absolutes, right? There's no Whole Foods here, so they make that zero, okay? So this is a nice way you can kind of use this to compare, okay? We can then go over and look at our ranking if we want to. And we can say, let's look at, right now we're looking at zip codes in Columbus, Ohio. Let's look at the state of Ohio and maybe we want to say, let's look at counties or cities in Ohio. Let's do cities in Ohio. And let's look at, you'll notice that our Whole Foods or organic foods not here, so we can go here and edit our view, all right? And maybe we want to say agree a lot, number who agree a lot, all right? So now we can say sorted by number of people who agree a lot that they like to eat organic food, okay? So here we have Columbus, Cleveland, you know, naturally those are gonna be the largest percentage because they're larger populations. So that's where we might want to add the percentage as well, okay? All right, so once we use these kind of things that kind of identify where we might want to locate our store, we can then go over here and use a map, okay? And so let's say we're looking at just the state of Ohio and, all right? So we're looking at the state of Ohio, right now it's looking up by population. We can go over here and change this to percent who agree a lot that they shop for local organic food, okay? All right, so now we have this nice red looking state. I don't really like that because it doesn't really tell me that, red does not scream like organic to me, right? It screams like, you know, angry organic, I guess, right? So if we go over here and click on edit, we can change the colors here. So if we want to go in and say, well, the green's a little more peaceful, you know, or maybe this little kind of greenish-blueish combination is kind of nice, right? And if you wanted to, you can actually go in and click on the individual color cells and alter some of the color cells. So maybe we wanted to go with a light gray, you know, instead, right? You know, or you can kind of, if you're not careful, you can make some that looks pretty nasty, so be careful about that. You can also mess around with what they call classification method here. So this is a nice way to kind of go in and just all you're doing when you click on these is you're changing the ranges down here. And so when you change the ranges down here, sometimes it makes your map look a little bit prettier because it kind of gives you a little more contrast. So I think that's kind of neat. So you can kind of mess around with that. So here we see, you know, percentage of people who agree a lot that they shop for natural food stores or shop for natural food whenever the chance they get in Ohio. Now what I can do with that, and this is a kind of a nice little map here, right? What I can do with this is I can actually go over here and use the businesses section and I'm gonna use the advanced search here. And I'm going to search by SIC code and kind of mess around with this a little bit. And I'm gonna go in and say, let's look for health food and here is health foods, okay? And we can go in and now search for businesses who are classified in health foods across the state of Ohio, right? And so we can go in and click on some of these. And so here's Mother Brown's Natural Remedies in Napoleon, Ohio, right? There's 13 stores there, looks like in Columbus. Here's one down here, Sweet Meadows Limited, right? So this gives you an idea of like where some of my potential competitors are by location on the map by a percentage of need, right? People who say I buy those things, maybe there's not a store in that area. So maybe we want to kind of open a store in that area, okay? So now because we did those businesses here, we also get a nice list that we can now download here. Right now, just like in Columbus, here's our state, we can download this list of competitors there as well, okay? So those are some different ways that you can use simply analytics, okay? Back to our map, a pretty popular thing folks like to do is they like to go in and use the export feature here and you can actually go in and make your own kind of image with the application here. So you can go in and crop it. You know, so if you're just looking at Ohio, right? You know, and continue the layout, you can actually go in and change the colors of this thing and move it around, right? So you can kind of create this nice little image that you can export to your PowerPoint presentations. It's a great way to kind of visually represent where your competitors or the need might be in your local market. All right, so that is simply analytics. I know that's kind of fast there. I also want to show you that last week I put together in a similar fashion to the Simmons guide, I now have a simply analytics tips and tricks guide as well. So here's like, for example, create a visual map. You know, this will kind of take you through. I don't have the screenshots yet because that takes a little more time but I've got for each one of these sections, I've got about a three to five minute video that will kind of walk you through how to do the quick reports. And if you basically start here and kind of walk all the way down, it'll do exactly just what I showed you today, you know, and it kind of builds upon each other in a sequential format, okay? All right, so that's simply analytics. All right, so if I could see you, this is where I would ask you if you're doing okay and hopefully you're all nodding yes and you're all like happy and glad to be here. So I've got about 15 minutes left. So we're going to kind of fly through back to local market from demand. I want to show you a database called Mergent Insulate now. And this is really nice because this kind of builds on the businesses concept and simply analytics, okay? So if you know the name of a business, you can go up here and type in the company name and just get that company, okay? Sorry, I've been fighting a sneeze since we just started. So if you know the name of a company, you can go up here and search for the company and get company information right there. What I want to do is use the advanced search in here to go in and basically identify companies by industry. This is usually how I do this, all right? And you'll notice this SIC code that kind of looks similar to what we saw in simply analytics. You could also use the NAICS code which is a different way of classifying industries kind of like by like the library call number or kind of by location. So what we'll do is you'll see there's a wholesale and retail trade. Let's just kind of go and drill down this thing. There's food stores, cool. Let's see, here's grocery stores. I don't think I've seen anything in there. Let's see. I don't think health food is under any of those. Let's look under miscellaneous food stores and here's health and dietetic food stores where we keep on drilling down. And you can see as we keep drilling down it's more and more granular, right? And so finally, here's health food stores. All right, so we click on that and we click add to criteria. And so down here in the bottom it says it finds 7,764 companies found in the database okay, we're going to click search and this is going to give us all the ones that are classified across the US, okay? So it kind of gives you a way of looking at some of the larger companies in the industry, that sort of thing. They're going to be sorted by sales. In many cases, this is estimated sales because a lot of these companies are privately held. So it's estimated sales. So let's go back to our advanced search and let's say we just want to locate those companies in Franklin County, Ohio, okay? So we go to location, we go to Ohio, let's go, we're going to say county, we're going to do Ohio here. And then now we got to scroll down and find Franklin County, there's Franklin, all right? And once again, we add that to our criteria. All right, so this finds 22 companies that are classified according to merchant intellect as health food stores in Franklin County, Ohio, okay? So we're going to go and do that kind of search, all right? So this gives us a list of 22 companies here and we can go in and click on the individual companies and find information individually about those companies, okay? We can also go and what I like about this database is that we can go in and select all of the little companies up to about 2,000 companies or so. We can select all of our companies here and then we can go in and do this build file section, okay? All right, so this gives us a format and I'm actually going to choose my own fields here because otherwise we get all this stuff and it's a little bit overwhelming. So I'm just going to do a company name and I like to know your founding, how long they've been in business, I think that's pretty cool to know, right? We can get, you know, you can go and say let's look at company location, let's look at their physical city, physical zip code, physical address, right? And maybe you just want sales and then maybe how many employees they have, okay? Most of this financial information won't be available for these smaller private companies, so I usually don't mess with that stuff down there, okay? But you could go down and say, let's get the, you know, contact information of the executive, you know, maybe the owner, right? And we'll call this Chad Grocery down here. Once we're satisfied with that, we will build our file and let's hope the internet cooperates here, all right? We will download our file. You can also email it to yourself. And once again, we have another spreadsheet that gives us those list of companies, you know, with the year of founding, right? Physical address, cities, zip code, sales, that kind of stuff. And then we have, here's the executive information for those people as well. So pretty cool way of getting, you know, competitor information in your local market or to see what other companies are out there doing the kind of business you want to do, okay? All right, 10 minutes left. We're going to look at, I don't have a specific guide for that one yet. I'm working on it. So maybe sometime over summer, by the time I get to that one. The last one I'm going to show you today is BizMiner. And so BizMiner is pretty good for a variety of purposes, okay? And you can go in here and type in organic food and you might not get anything, okay? Let's try it. Just for giggles here, let's do organic food. And let's see. All right, so we get organic food stores. We have 948 establishments, which is kind of small for the whole U.S. So they're kind of a little bit smaller there, but I do see that here we have natural organic foods wholesale. We have organic food stores in the retail trade and that's under 4.4, okay? So what I might do is let's say, let's go under this 4.4, 4.5 down here, all right? And here is health and beverage stores, food and beverage stores, excuse me, but I noticed that that number was a 4.4, 6. So let's go under health and food care store, health and personal care store, excuse me. All right, so here's where we have the health food supplement stores. Let's see. And so here we have diet food, health food stores, organic foods. So let's use this one right here. Now before I was actually looking in the 4.4, 5 section, which is the food stores in which grocery stores are in, but I wasn't finding anything there, okay? I found all kinds of specialty food stores, but those are mostly like international foods and that kind of stuff. So fortunately, they have this section here as well. And so let's look at just health food stores. And I'm gonna click show reports. And we're going to start by looking at a industry market report. So let's select a market area and you can do a county market. You can do a radius. So up to a 100 mile radius of your street address and where you think about opening your business, right? All kinds of different ways to do that. I'm just gonna do, let's do Columbus, Ohio again. And so here's Columbus. They give us 30 operations and we will access now here. This is often a little bit difficult to demo because sometimes BIS minor can be a little sluggish. All right, I'm gonna look at the HTML version here. Reason being is because it gives you this kind of, yes, I agree, gives you this kind of interactive kind of map and stuff that you don't necessarily get in your PDF or your Excel version, okay? So for example, if we go over here and click on map, this gives us, you'll notice that they put things like Smoothie King in the health food stores area, okay? So sometimes databases are gonna classify things in different ways, okay? So we might wanna go back over and look at the specialty food store section in BIS minor to see if that gives us stuff that's more comparable to what we found in Merged Insulate, okay? So they can kind of do different, they look at industries in sometimes different ways, okay? There's not necessarily a standard way of doing that, okay? So this isn't too bad. Look at Garden Herb Shop and you can kind of see that it gives you a sales bracket. Merged Insulate will give you more of a closer, actual sales, right? But it's still gonna be estimated because typically these are private companies. We have a market. So we see how many startups there were in each area and how much market volume that they generated in those times, in those years, right? Annual sales across the overall industry. You can see it's still, it's growing 8.29% since 2016, right? Startups are going down. So it looks like sometimes the startup market has not been great there. Cessation will tell you more about that as far as how many firms went out of business, right? Or relocated, okay? So you get all kinds of stuff in here that can be useful for kind of looking at your local market, okay? I'm gonna go back a couple screens here in here. And one thing we can look at too, we can say, well, let's look at, go back and look at these local industry financial reports and let's look at Columbus here. And what it'll do is we'll go in, once we select our city or our location, it's gonna go in and pull up basically your sales classification, okay? So because we don't wanna be comparing our health food stores to like all of the smoothie kings across the United States, right? So this will give us a sales class. So if we say, well, we're looking at, let's look at small nine firms, right? And that make less than $5 million. So we'll do that. And then we will access now. All right. And this gives us different formats as well. We'll look at the HTML version here while this is loading. And this is a place where you can go in and look. So this gives us basically, stuff like cost of sales, right? You get your balance sheet, different places where you can find, how much they're spending on insurance and that kind of stuff. And that's actually a micro profit and loss statement, but you kind of go in and see, oh, well, here we go. Here's all kinds of stuff you can go in and see. You can put in your own inputs as well, right? So here's how much they're spending on advertising versus salary and wages versus rent. And these are averages for companies in that sales bracket, excuse me, in Columbus, Ohio who are in your industry, right? So it's a great way to kind of say, this is what we're gonna be spending. So you understand like your reality, how much stuff is gonna cost, how much labor is gonna cost, that sort of thing in your area, okay? All right, so those are the two main reports in there. You can get, this competitive market analyzer will give you a similar kind of report that we found out, we saw in the first one there and what it'll do, it'll, too far down here, here's Columbus. It basically tells you kind of, if you're not looking at the numbers and being able to interpret that yourself, it kind of walks you through these numbers in a kind of a pretty logical process, okay? So it gives you good information, gives you, starts off with just local market information as well, things like that. So here it says in this market, health, food, stores, industries, 29 competitors, 19 independent firms, et cetera, et cetera. You know, annual industry site sales are 522,000, median site sales are 427,000, you know, by contrast, U.S. average industry site sales are this amount versus this amount, right? So it kind of uses this to kind of compare the local market to the health of the overall national market, right? So it's a kind of great way to kind of look at that to see if it's worthwhile opening a new store in that area, right? So things like that. So it's a great way to kind of, you know, go in and compare this to the kind of the national market, okay? All right, so that is BizMiner, all right? Let's see, as always, I'm happy to help with your research going forward. Hopefully this session here has been helpful to you. It is going to be recorded and I will put it down here in the research session recordings, so it'll be here with the other one. What's kind of interesting is like the previous one had been, has been viewed over a hundred times, so evidently somebody's been looking at it, so that's pretty cool. You can also use the get help which had to make an appointment and that sort of thing. This week is terrible because I'm actually leaving town tomorrow and I'll be back late Thursday night and then catching up on Friday, so probably next week is probably going to be more viable options for getting sort of research help if you need it, okay? So I will try to respond to emails this week, but I'm actually at a conference and so it'll be a little challenging to kind of address things. And some of the questions that you ask for help with Simmons and that kind of stuff can be often quite challenging to try to answer via writing, right? So the questions don't really lend themselves too easy to try to explain how to do that via an email, okay? All right, so that's all I have. Hopefully this was helpful to you and hopefully you're finding my guide useful. I do want to tell you that probably once P2 is over, I do want to send out a survey that I'll probably do via Basecamp to ask for your feedback about these sessions and about this guide in particular so I can make things better for the students next semester and in the effort to continuously improve my content and teaching, okay? So that's all I have. Hopefully this has been helpful. I'm going to stop sharing my screen now and I will turn it back over to your faculty in your session and I'm going to stop recording now.