My name is Scott Wise ,
and we are going to talk about pictures from the Gallery 8 .
Every year we come up with some fantastic views that you can do in JMP
that you might not have known
because there are some tips and tricks involved .
We definitely are excited to show you our next release .
Before we begin ,
I always like to start off with something interactive here .
I got inspired by a recent trip I took with my daughter .
We went to the National Video Game Museum .
It 's up in Dallas , Texas ,
and it walked through the development of video games .
They had a game that I used to love to play .
It was called Battle Zone .
You kind of felt like you 're on this strange planet ,
everything was in 3D and you felt like you 're inside a tank .
It was really cool .
To make this game , they had to overcome a big problem with graphics ,
which is , if you have 3D graphics ,
how do you know where you are in relation to an object ?
If there 's a wall in front of you
or are you in the wall or are you in the back of the wall ?
Are you in front of the wall ?
It 's obviously something they 've overcome
because a lot of the games now are 3D and first -person
and so give you that perspective .
Well , actually , I can represent this problem in Graph Builder
and I 'm going to challenge you
and maybe if you learn this trick on how they solve this problem ,
it can help you maybe win a bet sometime down the road here .
Or you can challenge people for fun .
What I 'm going to do is I 'm going to show you a basic shape
and there 's going to be two points , a point A , a point B ,
I want to know if point A is inside or outside that shape .
If point B is inside or outside that shape ,
and you are going to have just three seconds .
So maybe grab a little scrap piece of paper
and a pencil so you can write this down .
I 'm going to only leave it up for three seconds .
The first shape is going to be a polygon .
All right .
Again , I 'm going to show this to you .
I 'm going to count to three ,
and you tell me if point A is inside or outside the shape
or if point B is inside or outside the shape .
All right . Are you ready ?
All right , here we go .
All right . Well , what do you think ?
Was A inside the shape or outside ?
What about B ?
Let 's pull t`his back up .
Now I guarantee probably everybody got this in three seconds .
A really looks like it 's inside this little U -shape to me .
We can click into shapes in JMP we can color the background of shapes ,
and that makes it just really easy . So A is inside and B is outside .
Okay . I think you got this down .
Well , what if we make this a little more challenging ?
I have another shape .
In this shape , it seems it 's going to be a polygon .
I think it looks like a spiral .
I 'm going to do the same thing .
We got point A , point B .
Tell me if it 's inside the shape of the spiral or outside .
Same thing with point B . All right .
Ready ? I 'm going to going to launch it and I 'm going to give you three seconds .
All right . What do you think ?
Is point A inside the shape or outside ?
What about point B ?
All right . Probably didn 't have enough time .
Maybe some of you were trying to use your fingers
and maybe trace the shape .
Three seconds is not enough time to do that .
Now , again , within JMP because we can click on points ,
I can click on this point and I can see that point A is inside
and point B is outside of the shape .
But that 's not the easiest way to do this .
From a computer programing standpoint , they needed a better way .
There is a method actually out there that 's actually going to help us do this ,
and it is called Ray Casting .
It 's pretty simple . It just involves …
From whatever point you care about , you just draw a line moving away
in any direction from the point and you count the number of lines
in the shape it intersects , walls of the shape so to say .
If it crosses an odd count of lines as it 's moving outside the shape ,
it 's in .
If it crosses an even count of lines , it 's outside .
All right . Well , let 's see how that works in practice .
Here 's the U -shape .
All we got to do is just draw a line and see how many times it intersects .
I 've done this in JMP .
I 'm going to show you a little later how you can draw these confidence intervals ,
raise these lines out of points within JMP .
But I 'll go ahead and open one up here .
Let 's take a look at point A .
There 's point A .
Let 's go ahead and see how many points it has
before it exits the total shape here .
There 's a one , there 's a two , there 's a three .
There were three walls it crossed before it went out .
That 's odd so it 's in .
This is one of the few places , if you 're odd , you 're in .
You 're in the shape if you 're odd .
But what about B ?
Well , it doesn 't matter which way you go with B ,
let 's go in this direction, it hits that wall,
it hits that wall , it 's even .
If it 's even , it 's out .
It works whether you go left or right .
Very cool . Well , what about …
That 's okay . But you could have eyeballed that one .
What about that nasty spiral shape ?
Well , let 's take a look at it . Let 's go ahead and take B .
I 'll come down here to B .
Let 's just go this direction .
One wall , two wall , that 's even .
Let 's take A .
Way down here at the bottom . All right .
Let 's see . One wall , two wall , three wall , four wall .
1 , 2 , 3 . I missed one , five walls .
Five walls it goes by .
So it 's odd and therefore , it 's in the shape .
That 's how it works .
Basically , this algorithm drives all those 3D video games
and all those 3D images that you see and just a really cool thing you can do .
I 'm going to talk a little bit about drawing these lines in a graph
in our pictures from the gallery .
But I thought that was a fun interactive example
to get us started with our talk today
and maybe give you something you can amaze your friends with .
All right . Let 's talk about the pictures from the gallery .
We show six advanced views
that either we challenged ourselves to come up with ,
our customers using JMP challenged just us to come up with ,
or what we just saw look so cool and we 're like ,
how do we do this in JMP and Graph Builder can do about anything .
In this case , we 're going to look at formula -based graphs .
I have an actual formula in a column .
Can I have that work within Graph Builder ?
What about tabular data ?
Can actually have information lined up like report , tab data ,
lined up underneath my graphic shapes ?
That would be really cool .
What about an input -output parallel plot or we 'll call that a flow parallel plot .
That might be really cool .
Forest plots .
Forest plots help you look at means
and confidence intervals and you can eyeball control them .
This is really popular in health and life science .
We 're going to look at that one.
Percent of Factor . Everything scales to 100 %.
Nice way to compare things using bars that go from 0 -100 %.
You can see what segments here account for what .
Last but not least ,
mapping and this is doing satellite drill down something you can do .
The things I 'm going to show you, this Mapbox mapping in the tabular data ,
these are actually new features in JMP 17 .
The others could be done with older versions of JMP ,
but we definitely want to feature a couple new things
that have come out in the latest release of JMP .
All right . I 'm going to give you this journal , that 's the reward
for attending this talk .
When you get this journal , it 's going to have all the information you need .
It 's going to have a picture of what we 're trying to replicate .
Why it 's good , tips .
It 's going to give you the raw steps on how to create these .
You will also include the data with the scripts to recreate it here .
All right . This first one is actually bringing in a formula into JMP ,
which is really cool .
There 's tips to do this .
The tip is you must have a formula column within your data table and JMP .
That makes sense .
But you need to find a way to include all the elements of the formula .
If you have an X and a Y in your formula ,
the X and Y need to be somewhere in one of the landing zones
within the Graph Builder .
A better way to put it .
All right .
You have those steps if you need them .
I 'm going to do this one just from the data in the journal .
Let 's see what we have here .
This was real data that my father asked me to help him with .
He was actually trying to decide on buying a garden hose .
He was doing a lot of washing of his patio and his siding at his house ,
and he wanted to make sure that he had the best water flow .
Well , there is a formula for water flow , and here is that formula .
It matters , the diameter of your hose .
You have a three -fourths -inch diameter , a half -inch diameter .
It matters how long the hose is .
I guess the distance between the spigot and the spray attachment
or the end of the hose .
That worries what kind of water pressure you have
coming out of your initial spigot .
You have 40 pounds , 60 pounds , so on .
There 's a formula in here
and easy to create formulas using JMP 's formula editor
I have other information . I 'll turn on these little header graphs .
It looks like I have from 0 .75 , the 0 .5 even have a 0 .625 hose diameter .
Looks like I got 40 , 50 , and 60 water pressures
running through that formula
and it looks like we collected data for ,
looks like from 25 -50 to 75 -100 hose lengths .
So the 100 feet .
All right . I have all this information .
Let 's just go to Graph Builder and let 's start to fill it out .
Here are all my landing zones .
I 'm going to take the one that has the formula in it and put it in first .
That 's the water flow .
I put it in the Y here .
I think I 'll put the length down here on the X .
Looking a little more interesting .
Maybe diameter would be a good thing to overlay by .
I overlay and so you can see I get three different lines there
for the hose diameter .
I knew the water pressure
and he was probably going to go to the water pressure he had .
I 'm going to put that on the Group X instead of having three panels here ,
I 'm going to right -click and I 'm going to go Level in View
and I 'm going to go , let 's just do one at a time .
Now we can flip through these and see them .
Okay , now . How to represent this .
It 's okay to have points , but this smoother line is not the formula .
It 's just doing some sort of spline smoother through here .
That 's not really helping me .
What about if I select , I don 't know , a straight line ?
Well , that 's not really reflecting . That 's just connecting the points .
That 's not reflecting the formula .
To do the formula , I can select this little formula icon here ,
or you can even right -click in here and just go ,
hey , line , change that out to formula .
Now , it is reading the formula .
It will not work unless all the elements of the formula are there .
See if I take this overlay diameter out , you see the line disappears .
It 's got to have all the elements of the formula somewhere
accounted for in a graph element .
But now it 's pretty cool .
Now I can sit there and see that , oh , looks like high diameter , 0 .75 .
The shorter the hose length ,
the higher the water flow is going to be at 40 .
It looks like it 's holding for 50 or 60 .
Something you 're going to see me do a lot as well is
I 'm going to show you how you get that little picture in here .
It 's easy if you have a picture just like a jpeg .
It 's easy just to drag it right into your graph .
Now I have it dragged .
If you right -click into the graph , there 's a section for images
and you can size it . I usually use this fill graph .
Then you can right -click again and you can even make it transparent .
I like to do that so I can see the points , maybe make it only a 40 % clear ,
so I can see the lines popping through there .
Now that 's a cool graph and that 's how you do this view .
Now we can go and pick the right size hose that we want to use
no matter the water pressure we have .
All right .
Again , you have that available to you at any time .
Remember , I have the scripts saved to the data .
You can click on it and you can recreate it at any given time .
All right . That 's the first one .
We 'll go through as many as we have time for .
I think we 'll get through all six today .
I have them ordered in terms of when I 've shown this before
and what 's the most popular.
The next most popular one is this tabular data .
This is something that became available in JMP 17 .
Why this is nice is …
It used to be when I made a nice graph here ,
I 've got box plots up in this area .
It used to be I had to go and create in a separate window ,
maybe something from Tabulate to create a table
and just had to line those two different graph windows up .
But what if I wanted it right underneath ?
Well , we now have that capability
and it 's going to be actually using new features and caption boxes
that are in JMP 17 and it 's going to help us with tables .
It 's even going to help us with recalculating reference lines .
Well , that 's cool . What does that look like ?
All right . I have this data set here .
It 's cool when it 's got all this chemical production .
I got this rate of reaction and I have these different vendors .
Say I 'm just really interested
in graphically seeing a difference in the vendors
by the rate of reaction here .
Put that on the Y , vendor on the X .
Maybe points .
It 's not as interesting as maybe a box plot .
Maybe I 'll color by rate of reaction .
Maybe I will come up in this little bottom left -hand side ,
we call this the panel boxes here
and I can go under this box pop -panel and I say , give me a confidence diamond .
That 's pretty cool .
I know the middle . That diamond is where my mean is .
What if I make this even a little more interesting ?
You can hold your control key down , shift key down
if you 're using a Mac like I am , I 'm going to put this, I click .
I got points on top of the box plots .
I 'm going to come down to where this point is and say summary statistic ,
I don 't want to see them all . Just show me the mean .
Yes , the point is , in the middle of the diamond , that makes sense .
Oh , I can even help it a little bit .
I 'm going to do this air interval selection .
I 'm going to do a confidence interval .
Now I can see the ends of the diamond .
Oh , that 's really cool .
Maybe I want to shade it all in
and there 's an interval -style here called Hash Band I like .
Now it 's all instead of those lines , just those little whisker lines ,
now I have this little shaded -in square and that 's pretty cool .
That 's telling me maybe Acme has a lower rate of reaction
than somebody like Green .
Acme is over here , bluish , green is higher and reddish ,
although , the box plot 's showing me ,
there 's a lot of data in between , a lot of spread of the data .
There 's a lot of variation here .
But what if I want to now bring in what is the mean ?
Not only what is the mean for the rate of reaction overall ,
but what is the mean for Acme , Bloom , Green , and this Rizen ?
How can I do that ?
What I 'm going to do is I 'm just going to right click in here
and I 'm going to add a caption box and you 're like , Scott , that 's boring .
I knew how to do that in JMP 16 . It 's just sitting right up top of here .
Yes , but there 's a new thing you can do with caption boxes .
There 's a location area here .
For the mean , I can actually say ,
you know what , make it an axis reference line .
Now , it is right here in my data .
That 's really cool .
What 's really cool about this,
and I 'm going to right -click over here , I 'm going to turn on ...
I 'm going to go under redo .
You might have seen column switchers before
and say , I want to switch out the rate of reaction with some
of the other type of continuous factors here
and now get my little selection box over here .
I 'm clicking on agitation .
Do you see it recalculates the mean for agitation
and here 's the mean for inlet ?
This is much better than right -clicking and go in under axis settings
and setting a static reference line because that won 't change .
But this will change if the axis change if what you 're calculated from changes .
That 's pretty cool , let 's leave it at rate of reaction
and let 's go ahead and let 's do one more thing .
I 'm going to add a second caption box .
I right -click in here , I 'm going to go add
and you can add two or more , one or more elements .
Now I add a second caption box .
This first one is doing an axis reference line .
It doesn 't know what to do with the second one .
It has it overlaying on top of the other caption box .
Then I can just say , you know what ? This one make it into an axis table .
You see now , oh , it 's lined up right underneath all the labels
and underneath all the columns , so to say , for all my categorical levels here .
I can even add another summary statistic and I can go and do like standard error
and I can just keep adding more and now I can build out a nice table ,
I can say done here .
All I really would have to do now is maybe just
go under the Graph Builder red triangle and clean up the legend here .
I can go to the settings here and I don 't need all these little legends .
I can just keep the one for the color gradient
and down here as well .
If you want to get back to that control panel .
You say so , control panel .
There was one more thing I was going to show you here .
You see , I 'm carrying four decimal points down here .
The caption box will let you change the format
and I can do like fixed decimal two .
Now that looks really nice .
Even to make it even nicer , I found out this is a nice little trick .
I found out you can change the legend position .
I can put it at the bottom .
If I right -click in here and go to the gradient ,
you can even make it horizontal .
I love this kind of horizontal views and now it 's a much more compact view
and it 's going to look a lot better when I start to change things around .
All right . A very cool graph .
I would like to give some thanks as well to Joseph Reese , one of my peers
who helped me create this chart and figure it out .
Thank you , Joseph .
All right .
What are we going to look at next ?
The in and out parallel plots .
This one here .
It 's cool because I often did work where I had like a project budget
and you had so much money that would go into the total budget
and then you 're pulling out to make expenditures
or you have inputs and outputs of a process .
I used to do a lot of input -output boxes .
Well , this is a parallel plot which is showing me
with the size and the width of these bands .
How much , in this case money is coming from jobs here .
But it 's all going into one big bucket here
and then out of that bucket , I have outflows .
That 's really cool . How do we set this up ?
We 're going to do something
that enables us to actually look at combine data in a parallel plot .
It 'll be a little easier to show you by hand .
Here is my data .
Now setup is everything on this and every row here is an expenditure .
You see , I have a separate amount for that .
But sometimes those expenditures get rolled up into groupings .
Like here , I 've got a lot of these are going into job ,
so I have a column for inflow and I 'm putting the category for inflow
and I have a lot that ...
All these line items of inputs go in to job .
That 's cool . I got tax refund .
I 've got side hustle here .
There 's the total bucket and you can see I can start with outflows .
Here , I can look at all the savings here and I have 20K versus savings here
and you can see I can even have a second outflow , which breaks that savings down
to where what type of savings it went to .
Some went to 401K, some went to investment .
If you have things set up like this
now , I have everything I need to make this chart .
I 'm going to go to Graph Builder .
Border .
I 'm going to just take all the categorical factors
and I 'm just going to dump them on the x -axis .
I might color by the outflow one and I 'm going to size by the amount .
Now it's stuck on point so I will change to parallel plot .
I 'll make this a little bigger .
Now , if I put the control chart down , it 's looking okay .
But what it 's doing now ,
it 's taking my inflow boxes and then it 's slowly breaking them out .
Why only want the breakout to happen here ?
I want to see what comes in from the outflow
and what goes out from that section .
To do that , if it 's in the second section ,
if I click on this combined data sets , it restarts on the second bar ,
so to say , of the parallel plots .
If I say done , you can play with , which is ,
whether things are ascending or descending
with clicking on these arrows up here , I 'm going to click on a few of these .
Now it 's very easy for me to see how jobs, side hustle
and tax refund make up my total of 101K
and now I can see something like auto and that 's very cool .
You can see here my auto was 11K and my total , 101K
and I can see if I make this even a little bigger ,
I can see that it gets broken out among my car payment , my gas and my upkeep .
This is just a really cool chart to use
and there 's other things you can do to make it , enhance it a little bit more .
You can play with the colors , but a really cool inflow -outflow parallel plot .
All right . See how we 're doing on time ?
We 're doing pretty good .
Let 's move on to the next most popular views here
in our pictures from the gallery .
This one 's going to be a forest plot .
Forest plots are going to enable you to like plot means
and put a confidence interval around the mean that you can compare to other
means with confidence intervals on the same chart .
It 's very popular , especially in health and life science
place where you 're doing a lot of summarization .
But we have a cool little example here on how to do forest plots .
Here it is .
We are going to go out and we are going to buy a diamond .
Maybe you 're getting engaged . Maybe you 're getting married here .
Now , people always talk about that cut color and clarity
and there 's all these other little different levels within them .
Do they really matter ?
What really drives what you care about ,
which is what 's the average price for this ?
How much am I going to have to pay for a diamond ?
I want to impress whoever I 'm getting engaged or marry .
But want to do it as efficiently as possible .
Let 's take care of this . Let 's go ahead to our diamonds ' data .
Let 's take a look .
I 'm going to open up the column headers here .
It all comes from one table that 's not that interesting .
But you see , I have summarized .
Each row is summarizing the mean and the standard ,
the mean and the lower and upper confidence interval , the standard error .
Just some summarized metrics here for it looks like a combination
of color , a color in level here .
I 've got color , levels , I 've got clarity , I 've got cut
and just all kinds of levels within there that I want .
To look at this data ,
I 'll just go ahead and put the Graph Builder .
I 'll put my mean price down at the bottom .
Don 't have to worry about the ...
I 'm not going to worry yet about the confidence interval around the mean .
We 'll do that last .
But let 's go ahead and put the X here . There 's my color clarity .
I 'm even going to color by the x .
I 've got points automatically being driven , that 's fine .
Now level , I 've got the different levels of cut , clarity and color .
Yeah , I 'm going to move it here . But you see , you can embed in here .
I have the level nested within my x , which was the cut color of clarity .
That 's pretty cool .
Maybe to make it easier to segregate those three different aspects ,
I 'm going to right -click here , I 'm going to go to the axis settings
and I 'm going to reverse the order .
I 've got clarity first and under the X tab up here ,
I 'm going to show a grid that 's going to draw lines there .
Now I 'm looking over three sections .
This is okay , but I hate the eyeball these points .
What can I do ? Let 's take this lower 95
and upper side percent confidence interval
and let 's bring it to that interval landing zone .
You see what it has done is it is created error bars
constructed around that lower 95 and upper side
95 % confidence interval around the mean .
If you 've got a column form , you can bring them into that landing zone .
You can even bring in a one -sided one if you only have an upper or lower .
But I like this kind of shows me where those points are .
You can right -click in here and you can mess with the marker sizes
and you can make the marker sizes all big
or I 'm going to make them a marker size a five .
Now , if I look at it now , I can answer some good questions
about what I should look for in a diamond .
What 's really driving the price ?
Remember the further it 's going on x -axis the more expensive the diamond is .
If I look at clarity , this does not make sense
because some of my clearest these things this IF
it 's almost like flawless clarity
or very, very, very subtle differences in it .
This is actually costing less than the stuff that 's supposed to be a better .
That one makes no sense .
What about color ?
D was supposed to be the best . K was supposed to be the worst.
But I 'm seeing there 's two groups over here .
What 's really driving it ?
It looks like it 's cut and the ideal cuts are the most expensive ones .
Then excellent and very good , then good .
You 're going to go buy the diamond ,
forget about the color rating , forget about the clarity rating ,
really focus on the cuts and that 's what 's going to drive price .
All right . Very cool to do that type of graph .
That 's a forest plots . Very easy to do in JMP .
All right . What is our next view ?
Our next view is actually something cool . It 's good to do with ranked or scale data .
It 's percent of factor .
This is something most people didn 't know we had the capability
to do in Graph Builder .
We 're going to look at some coffee shops .
I have all this data from my hometown here
where I live is in Austin , Texas , and I got all these coffee shops
and it looks like there were reviews and they gave them ratings .
Whether the ratings low or high , 4 or 5 stars , the best .
I even have things like sentiment , like how , what 's the vibe of the place ?
That 's something my daughter likes to say .
This place has good vibes or bad vibes .
One of our favorite things is checking out coffee shops .
Where should we go this afternoon ? We want to get some coffee around Austin .
What we 're going to do is we 're going to set this up .
I 'm going to go over here to my Graph Builder .
I 'm just going to put my coffee shop name in here .
Okay , that 's pretty cool .
Now , what I can do , I can put some type of scale here .
I have the rating .
I can put the rating down here at the bottom ,
instead of points , I can ask for bars to be done .
That 's not too interesting this side by side , but I can do
a percent of total .
I think I have this ...
Think I don 't have this set up correctly here .
This is a good thing you do when you got everything saved for , yeah .
I can come right back in here so have coffee shop name
and I have counts so I had the wrong thing on there .
You want something continuous on there .
We had the actual count of the data
instead , I think I 'm going to use the raw numeric rating
instead of the one that 's categorical here .
Let 's take a look at that again .
Let 's go ahead and put my coffee shop name out here .
Let 's go ahead and put that either that rating or the counts .
I guess I 'll just put the count up here , down at the bottom .
I 'll go to bars and that 's more what I was looking for .
Now I have the count -down here . It 's going to give me a raw count .
Doesn 't look that interesting .
But now I can take that categorical rating ,
and we can do something like overlay by it and take a look at it .
I 'm going to go back and double check and see what I had overlaid by here .
It looks like overlaid by the rating .
I will do the same on our graph .
Now take that rating , I will overlay by it .
It looks like a real mess right now , but now I can go in .
You can choose different types of bars here ,
but the one I am going to look for is going to be one
that utilizes a new summary statistic called percent of total .
I do that one, percent of total .
I can take a look at this in different types of bar configurations .
Again , I will take a look to see what kind of bar configuration I had used here
in my finished graph and I 'm going to look at stat percent of factor
is the one I 'm going to do .
Instead of percent of total , let 's do percent of factor
and now let 's do the stacked one .
There we go . That 's the view I wanted .
Stacked percent of factor .
It 's going to change that kind of count to 100 %.
It is going to break out what portion of it went to what rating ,
which is really cool .
Other cool things you might not have known you can do .
I can right -click in here and you can order by something .
I can even order by something that 's other .
Like already have a high rating . Yes /no .
I knew this was like fours and fives versus one , twos and threes .
I 'm going to select that one .
Now you can see it 's kind of did a nice job putting the ones
that have the more four and fives on the top of the graph .
Now I can say , "Hey , we might want to hit the Saa -Ten "
if I 'm saying that correctly .
This is my favorite coffee house is flight path ,
so maybe we weren 't going to hit that one .
But my daughter might say , "What about the vibe ?"
Then you can say , "Well , that 's good .
Let 's just do a little local data filter and let 's bring in the vibe ."
Maybe make this a block style view .
Now let 's go and select just the ones that were two , threes
and four is on vibes now , or maybe threes and fours on vibe
and we 'll do two , threes .
I 'll do one , two , threes and fours .
Now we can see , "Oh the Hideout has really good vibes ."
Flight path still down here ,
but maybe we want to go and check the hideout out if can find it .
That 's the easy thing you can do .
Why I really like using this percent of factor .
If you can have a continuous x
and you can even overlay by something which can go break
that count up of by some section , this is a great chart to use .
All right .
That 's just going to leave us with our last chart .
Our last chart is probably the most photogenic of it .
It 's going to be Map box Mapping .
This is something new in 17 that 's really powerful .
We had the ability to look up to use building maps .
You had the ability to use mapping services in the past .
But in 17 we came up with a much better type of mapping service ,
same one you might see like with Google Maps and it 's Mapbox Mapping .
I 'm going to look I have these some select hotels
I used to stay at when I used to run around the country for JMP .
I 've I 've got all kinds of information , but the most important ,
I 've got latitude and longitude in the hotel name and the counts .
This will be a good thing to map .
I know I can go in the graph and Graph Builder and bring up a map .
I know I can put my latitude down and my longitude down
and I know you 're already starting to see , the shape of the country ,
East Coast , West Coast going on here .
I know I can right -click now under graph
and go to that background map .
Now instead of a street map service or just doing any of these other things
that used to be in JMP , I can do a web map service
and it 's going to allow me to pick from all these Mapbox options
and like Mapbox dark one is pretty cool .
That we can select .
There we go .
You do it , and I 'll go ahead and I 'll show that again .
It 's under background map and you 'll select a street map service .
You won 't select this service unless you want to interact with it
by specifying a layer , but I don 't worry about that .
Street map service and then you pick from the Mapbox selections
and this is what a dark one looks like .
It 's the nighttime view of the country . That 's cool .
I saved to my script a couple of others .
This one is looking at the Map box , outdoor one .
So if you want to see if you 're in the water ,
you want to see if you 're in the bay ,
you want to see things a little differently .
I can even look at a street view . This is the Map box Street View .
Now , to do this one , I 'm going to …
It 's hard to see , but you do have a little plus or minus into your map
that you can select a drill down .
I like doing it through the magnifying element up here .
So I switch my pointer out for the magnifier ,
and here 's a hotel I stayed at in Sacramento .
I 'm going to click on it .
I 'm going to click on it . It was called the Delta King .
What 's up with this one ?
It looks like it 's a boat .
Well , I 'm going to right -click right here .
I 'm going to go into that background map
and instead of Streets , I 'm going to select a satellite .
How cool . Now I can go see it is a boat .
The Delta King is a very , very cool ,
ferry boat , a historic one that used to run between ,
I think , Sacramento and San Francisco , and they made a hotel out of it .
Now you can stay in the old town in Sacramento and check it out ,
thanks to Bonnie Rigo .
When I work with my team right now
who introduced me to this hotel really cool one to use .
All right .
That 's how we do these , and I 've got other cool ones in here .
You want to see …
I 've got some of the other cool places I 'd stayed here .
Like looking at a cool one in Las Vegas here .
Maybe you recognize this one ?
This one 's that old Luxor pyramid .
That 's why silicon in Las Vegas … Satellite views are really cool .
We even looking at maps of Miami Beach .
Cool things where there 's a lot of water and that 's the Fontainebleau
in Miami Beach .
Man , I wish it was one of my boats as well , but it 's not .
Very cool .
Very cool things you can do now in JMP .
Graph Builder with that Mapbox .
All right .
Let 's go and take a look at the other ones .
Again , thank you .
Thank you to Joseph Reese for helping with tabular data .
I don 't think I mentioned
Jason Wiggins helped me with the flow parallel plot .
So thank you , Jason , for that as well ,
and I always include in my journal a bonus one .
I 'm not going to show you how to make this one .
I 'm going to give you a little incentive to go out ,
and try out the instructions .
They 're there for you . This is a painter chart .
This is something that is new in the Pareto platform in JMP 17 ,
but found out in Graph Builder ,
I can make this all along .
It 's a combination of a bar chart , a run chart , and Pareto chart .
It was very popular at places like Ford , when they were looking at defects ,
and I 've seen it used a lot in semiconductor and high -tech ,
for example .
This is just an example of how to create this type of combo chart
within a Graph Builder .
All right , so that 's your bonus .
I 'm going to leave you behind with where to learn more .
I 'm going to give you the link to the other seven pictures from the gallery .
Time six , there 's another 42 really cool views .
You can go and look at an additional the one I just gave you ,
and that 's on our JMP community ,
our source for everything you want , for learning JMP ,
for past discovery talks , for Q&A , for whatever you need .
Blogs and journals ,
we 've made some cool blogs out of a lot of these graphs ,
so please visit those as well on the community .
There was a link in the community again
to a lot of the good training so you can learn from our the godfather
of the of the Graph Builder , Xan Gregg .
Thanks to him for creating the Graph Builder
and making it so powerful , and there are other tutorials
and training available to you , as well as the presentations ,
and if you have new views that you want to try within JMP ,
you can email me , challenge me to recreate it .
Maybe you get this in some other thing besides JMP ,
or you 've done it in a spreadsheet , it takes a long time to make ,
and you 're like , "Can I just do this in Graph Builder ?"
Challenge us and if we have something that we 're not capable of making ,
but would be good to consider for future releases of JMP ,
we have JMP 18 coming out pretty soon as well .
We would love to hear that and all you have to do is go to the community ,
go to the JMP wish list ,
and put in what that is , and it will go under consideration
for adding into possibly the next version of JMP .
All right . That is my talk .
Thank you so much .
I hope you enjoy all the talks here at Discovery ,
and please let us know next if you have any questions ,
and have fun exploring with Graph Builder .