 What's going on everybody welcome back to the Tableau tutorial series. In this video we're going to be looking at lots of different visualizations including the scatter plot and density maps. Now before we jump into the tutorial I have some very exciting news. In just two days on October 7th I'm going to be partnering with Alteryx to host a webinar. This webinar is completely for data analysts who are wanting to change careers to become a data analyst. Now you did hear that right I will be the host of the event but we will be bringing on guests as well who are industry experts who actually change careers to become data analysts much like myself. They'll be sharing their stories of how they actually transition careers along with the tools that they found extremely useful and helpful to make that switch and they'll be giving lots of advice along the way. So if you are somebody who is wanting to change careers to become a data analyst or just wanting to learn about data analytics this is an absolute fantastic place to learn a lot more about that. I will leave a link in the description so be sure to go and sign up for that. Again I'm going to be there so it should be really fun. Without further ado let's jump onto my screen and start the tutorial. Now we are about to look at a ton of different visualizations. Over here you can see just an array of them but not all of them are ones that I actually think are useful or ones that I would actually recommend using and so I'm going to take you through some of the ones that I absolutely think are worth learning and using and trying out and I'm just going to kind of just show you how I might use them, how they might look, how you can navigate them a little bit. Now before we do that we do need to go download one data set. It's this Starbucks location worldwide. Yes we're going to do a little bit of longitude latitude here and all we have to do is click this download button and it will download. We're going to do that into downloads. We'll save that. Yeah I've already done that but you know I'm doing this with you guys I'm doing it for you. So let's go to our downloads now we have here we want to come in here we're going to copy it or you can cut it and then we're going to paste it here yeah replace it perfect and now we have it ready to go we'll come in here let's do a new sheet and I already have it in there but I'm just going to show you what I would do a do new data source we'll do text file we'll do directory and we will open it and let's see what data we have in here before we actually begin just super quickly we have the brand so whatever company has it and then a bunch of location information street address city the state this is all in the United States so that's basically it and what we are going to do is we're going to go over to this sheet three and we have this directory two that's the one I just pulled in exact same thing as directory but to the first visualization that we are going to look at is a bar and line graph so what we're going to take is the year right here and take these global sales and these na sales and we're going to be doing this one right here so this has a combination of two separate types of visualizations so sometimes you just have the line sometimes you just have these these bar graphs or these bar charts and we're combining the two and it's very nice I like how this looks now if you notice if I put this na sales behind it now it kind of cuts off so now this global sales is in front we're going to you know put that back I just wanted to show you that right here there's all some of global sales some of na sales so if we go into this all we click this drop down we can change it to a line we can change it basically whatever we want I just hit control z to reverse that but what we can do is we can go in here and we can change this color and let's see if we can just make it red is that possible see what I did I made it orange that works for me just something to stick out a little bit more choose whatever color you want and this is a really nice visualization this is one that I have used in the past we're looking at global sales versus the na sales and so it's very easy to see the distinction between the two and how one was doing a specific year versus how the other one was doing in that same year so I really like this if you want to do something like keeping it consistent you can do two bars I don't really like this one as much and you can again you can really change it up there's lots of different ones that you can do again I prefer the line but you know do whatever you think is best I'm going to change it back because this is not how I want to keep it but there you go so that is the first one that we are going to look at let's move on to the second one and we actually will be using our our Starbucks data here now when you bring in data that has any type of map or address or postal code or things like that or country it's typically going to create this latitude and longitude it's going to generate that now what we want to do is bring this longitude right up here and this latitude right there and if you do the show me right now it's giving us this but what we want to do is add what we're looking for so what will we actually be trying to search for on this map you can do anything from like a postal code and it will drag us right here let's come over to this this allows us to kind of scroll around a little bit we're going to mess around with this one for just a little bit and let me see if I can that's nice that might be too big let me back up one so at least in the continental us a little bit down here this these are the postal codes so right now we're looking at post codes and there are a lot that you can do with this really color will make almost no difference it just becomes this mess so you don't typically want to do something like that at least not for this let's go to size and if we make it really small you can kind of see these groupings these pairings typically of like larger cities or major major metropolitan areas and so you can do this and it's and it's really really easy I don't recommend labeling this I don't even know if it'll do it it would be an absolute mess to try to label all these post codes well let's bring this out and let's bring these state and provinces in now right now we have these little tiny tiny dots on here and I think what we want to do is not increase the size but over here we want to actually do this and make it a map so now it's going to fill in all the states we can you know why not we'll add some color here um but we can what has a numbered I didn't think they were numbered um oh that's interesting I haven't seen I didn't look at that before I just found that interesting but now we can see what what states Starbucks is in and as you can see they're in all 50 states but it's something interesting to look at to think about now if we go right up here we can again choose a different type and we're going to go to the density now right now it's just doing a density on the the state we're gonna get rid of that we're gonna bring back postal code I'm just switching it up on you a little bit and you can do it as small or as big as you'd like you know I'd like to do somewhere in the middle probably right there's fine I don't think it's going to make sense to really add any color here again all these postal codes are different so it's going to be complete mishmash but this is kind of how you can use a density map and you can do this with countries you can do this with postal codes you can use any type of kind of like address or location based data so that is how you can use a map again there's lots of different ways to use a map and so I'm not going to show you every single way but in a really brief way this is how you can use a map to actually visualize your data that does have location based information in it so let's go over to sheet three and this data that we have over here it just allows for a lot of different types of visualizations so we're going to use this one and there are lots of other ones that you might see out there like this one right here we obviously wouldn't be using this we might do something like this change the label um and maybe add why are both these in here um let's get rid of this oops that's not what I meant let's actually add that let's do these some of global sales and we'll just make that into a label as well so what you can do with these and and how you're able to use them and visualize them again these are not well you'll see these often but these are not often ones that I would recommend you use that's very similar to these packed bubbles um you can add these global sales in here again add the label it just uh it sometimes is not as straightforward the information that is trying to tell you right you kind of have to search for it a little bit you kind of have to look around but you can find some good visualizations in here for very specific types of data and so these are just ones to consider one that you'll see all the time is this guy right here and let me see if I can expand this a little bit because this is very small um let's see you have the size one global sales and let's label that the size right how do I expand this I haven't done this in a while you just expand this I don't use pie charts what is happening this is a incredibly large pie chart oh my gosh I am making this this is becoming a problem there we go and what I actually wanted to do is label the genre as well as I've been doing in all the other ones and we'll label this now look whether you are a fan of pie charts or not you have to understand that people use them some people just like how they look and for certain data it can do well for things that have a lot of different groupings or categories it usually isn't super great but it does give you some type of order of things give you a quick glance and people use them right so let's not pretend like it's like the the hideous stepchild all right people use it people have it in their dashboards and their visualizations all over so it's best to just know what they look like know how to do them know how to use them best again I'm not a super huge huge fan of it myself I've used it once or twice but one to look out for and again you can come over to here and use is called a box and a whisker plot it's good for these large distributions you know this is like the median upper upper lower lower I don't use these a lot but I know a lot of people who love them something to just look at and consider messing around with a little bit it's pretty I think straightforward and it does give you some good insight into your data if you know how to use it now there is one last one that I want to show you I'm just going to create it on a new sheet make it easy we'll do year here we'll do some of do any sales why not and we're going to make this like this now it's very similar to a line chart but when we break it out by the genre and we add some color you know it's just a different way to visualize this information you can you know potentially add some stuff in here like some labels if you want to depending on how it looks for you but this is just another way to visualize the data so wanting to give you guys some options wanting to give you some things that you might want to look at if you haven't already used these before these are ones every single one that I've showed you are ones that I've at least used once this one I maybe have literally only used once but the first ones that I showed you the ones I pointed out as the ones that I really wanted you to know are great visualizations to learn how to use and learn how to make useful for the data that you have without being said that is all that we are looking at in this video again I try to keep it super easy just wanting to show you some different visualizations the data that you can use to get those visualizations and just some other options in case you wanted to get a little bit spontaneous a little bit out there a little bit funky to show your boss or something like that thank you guys so much for watching I really appreciate it if you like this video be sure to like and subscribe below and I will see you in the next video