All right.
Hello, everyone. My name is Wendy se. And I am the technical lead for North Central. And I'm excited to show you how you can create drill down graphs and jmp, which is a new feature in jmp 15. First, this guy, since we're going to be utilizing some brewery data, I thought I would show you where is North Central. North Central encompasses these states, basically the middle of the US, and I support this geography along with my two teammates, Andy Spence and Kathleen watts. I also wanted to highlight to you some of our favorite breweries in the Minneapolis area. So if you ever come by, please check these out.
All right, now, let's go take a look at The drill down graph that we're going to create together.
This drill down graph will allow us and others that we share this data table with, to explore brewery trends in the US. I'm going to hover over the state of Minnesota and you can see that I can drill in to Minnesota. And I can see what the average annual production volume by type and how that breaks out. And then I can also do another drill in where I'm hovering over production volume produced for brewery consumption. And I can see a trend what that looked like over the last several years. All right, let's see how we can build this together. So we're going to build this Using graph builder and the way that we're going to do this is we're going to build each one of the three layers individually. And then we will nest the scripts within each other kind of like a Russian doll. So let's go ahead and build that first layer. So the first layer that we looked at was a map of the US. So I'm dragging state into the map zone which brings up the shape of each state. And then I'm dragging volume not interrupt to I don't know if you're sharing anymore. No. See?
How does that look? Perfect. Okay, when did I stop sharing? Oh, just just a little bit before there, you're fine. Okay. So now I've got a A map of the US and each state is colored by the volume of beer and barrels.
Because I have a lot of states with some of these lower volumes, to create some differentiation in the map, I'm going to change the gradient scale to be quantiles instead of linear. Alright, so that's layer one. Now let's go build layer two. I'm going to open up graph builder again, and layer two. Right, we looked at the breakout of the volume by type, some dragging type to the x axis, and volume to the y axis.
And since I want a bar graph, I'm going to change this visualization to a bar. The next thing I want to do is to order these bars in descending order.
So I'm right clicking on the X axis, doing order by volume descending, which gives me a nice sort.
So that is layer two. Now let's build the final layer. So again, I'm going to open up another instance of graph builder. And I'm going to build that trend graph. So I have volume which is on the Y by the year. I'm going to change I'm going to overlay by state so that we have a separate line for each state.
And then I'm going to change this graph type to a line graph. One nice thing to do In this particular case is to get rid of the legend on the right. So I'm going to go to the red hotspot and uncheck legend. Click Done. Okay, so now we built the three layers.
And what we're going to do is nest them within each other. So I'm going to grab the code that creates this particular graft. So I'm going to start with the third layer and nest within the second and then take the second and nest within the first. So I'm going down to save script Copy to Clipboard. I'm going to go to the second layer and I can essentially right click on any one of these graphs, or these bars. Go to hover label and paste graph. What once I do that, I hover over one of these bars and I can see that I'm getting a graph Now, our third and last step of nesting is to take this particular script and copy it and then paste it into the first layer. So again, I can right click anywhere in this graph, go to hover label, and say paste graphic. And now we can test this. So if I hover over the state of Colorado, for example, you can drill into Colorado.
And I see that brewery production for burry bars pretty low in this state over the last 12 years. If I hover over bottles and cans, you can click in there and see the production volume trends over the last 12 years for Colorado.
So our last step really is to save this to the data table. So I'm going to go to that first. layer and I'm going to go all the way to the bottom and save script to the data table.
We can call this. And now, if I were to save this data table and send it to someone, they could also explore this data using the drill downs I've created.
So, I thought it might take us go backwards a little bit and talk about where I got this data. So I got this data from our Department of Treasury. And because the federal government taxes are states based on how much beer they brew, you can go to this website It's all recorded here. And the government records how much production by state there's been for consumption on premises consumption, and bottles and cans, and then finally barrels in kegs. So this is where I grabbed the data. And I actually imported it into jmp using the PDF document.
Because there's a PDF import wizard and jmp, and then I reshaped the data. So if you look at the number of rows I have in this data table, I've got 1800 rows. So it's a very tall data set, I had to take the years that went across in the columns and stuck them.
So there are 36 rows for each state in this data table. And this allows me to do the various drill downs ending in that tree. graph that I had. So I have 12 years and I have three types per year, which gives me the 36 rows per state. So hopefully you found this helpful and are eager to try this with your own data. I encourage you to look at the post following this. Following this presentation and take a look at this blog post that our founder wrote, which will give you a little bit more information about creating graph drill downs, and customizing graphs further.
Julian, I'll send it back to you
