All
right
.
Welcome
,
everybody
.
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
â¦
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
â¦
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
â¦
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
â¦
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
â¦
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
â¦
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
.
