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From YouTube: HubHacks 2 Tableau Session
Description
Tableau Software presents a workshop at the 2nd Hub Hacks event on March 14.
A
Good
morning
everybody,
my
name
is
Rick
cooler,
I,
wouldn't
have
loved.
I'm
joined
by
darren
fingering,
his
head
low
account
manager
with
a
blow
and
damages
solution
consultant
and
we'll
be
here
all
day
we're
we
decided
to
break
this
segment
institute
of
three
parts
and
the
first
part
will
be
some
basic
enablement.
Go
into
tableau,
desktop
open
it
up.
A
Cactus
data
build
some
things
and
hopefully
give
you
enough
information
to
to
get
you
started
and
and
become
a
couple
of
the
initial
steps
to
to
simply
getting
into
visualization
and
also
released
direction
is
to
just
general
functionality
because
senior
technology.
The
second
part
we
will
focus
a
bit
on
ableman.
There
is
ton
of
materials,
tutorials
information
available
at
our
website.
The
hyperlink
to
that
is
up
here
on
the
wall.
Tableau,
calm,
/,
learn,
/
training,
so
we'll
we'll
just
take
a
bow
and
walk
through
that.
A
So
you
know
what
you
can
get
to
and
in
the
last
part,
which
we
hope
you
find
really
interesting
is
the
call
tableau
public.
We
provide
a
platform
free
of
charge
to
people
over
the
world
who
wish
to
create
visualizations,
publish
them
and
share
them
online
or
embed
them
in
their
public
websites,
and
that
content
resides
on
a
site
called
tableau
public.
It's
great
people,
love
it,
but
I
think
for
the
purposes
of
this
discussion.
This
session
is
this
whole
event.
I
would
say
and
check
it
out,
because
it's
great
visualization
is
up
there.
A
Great
ideas,
there's
terrific
inspiration,
they're,
not
all
disappointment
that
were
sports
related
things
like
that,
and
you
can
pull
it
down
and
you
see
an
idea
is
to
employ
a
light
that
visualization
I
would
like
to
replicate.
That,
for
this
exercise
will
show
you
how
you
pull
that
down,
and
you
can
see
how
it
was
built
and
I
hope
over
the
course
of
this
exercise
with
my
man
to
be
a
great
resource
for
ideas.
C
C
So
as
we
start
off
the
first
thing,
we
want
to
do
I'm
just
going
to
do
a
new
one
here.
Just
so,
we
start
from
scratch.
We're
going
to
connect
to
data,
and
this
is
the
first
screen.
You
see
you
connect
to
data,
and
you
know
this
is
a
book
somewhere.
You
can
use
against
your
local
data
as
well
as
if
you
got
stuff
in
sequel
and
if
it
anything
a
data
source
out
there,
you
can
use,
but
in
this
case
here
we're
going
to
go
and
connect
to
excel
so
I'd.
C
Let
my
excel
data
here
and
here
are
some
of
the
different
data
files
and
different
sources
and
want
to
choose
here.
Is
the
parking
tickets
one
just
going
to
open
it
up
and
what
now
has
happened?
Is
we've
opened
up
and
we'll
actually
see
that
there's
actually
two
two
sheets
in
here
we
got
our
parking
tickets,
one
and
I'm
going
to
do
the
Parkland
status
when
I'll
come
back
to
this
little.
B
C
C
Status,
we're
going
to
join
our
gang
here
and
we
see
all
the
data
down
here
about
the
parking.
Did
it
end
up
in
your
typical
Excel,
like
format
when
we
go
in
and
do
go
to
worksheet,
we
now
will
break
it
up
a
little
bit
and
what
you're
seeing
is
the
kind
of
categorical
data
license
plate
type?
You
know
the
location
of
the
ticket
location,
the
common
information.
This
is
going
to
be
a
lot
of
the
kind
of
descriptive
or
categorical
data
around
what
you
see
in
all
these
different
data
sets.
C
This
is
going
to
be
information
about
location,
so
the
information
potentially
about
the
type
of
activity-
that's
in
it
from
a
from
the
city's
point
of
view
and
then
down
here,
there's
going
to
be
information
about
the
actual
kind
of
categorical
information.
This
will
be
a
fine
amount
and
this
quantum
of
the
number
of
records
are
available
right
here.
We
also
have
in
here
we're
kind
of
making
we
pulling
the
data.
We
look
and
say:
are
these?
Are
you
beric?
Some
of
this
stuff
may
not
be
numeric,
and
you
may
find
that
hey.
C
You
know
what
this
is.
Not
a
number
like
it's
a
it's
a
code
in
this
case
here,
so
the
vehicle
code.
We
can
just
drag
it
up
here,
just
drop
it
up
here
now
and
it's
now
available
for
us
to
use
up
there
and
you
can
play
around
with
the
data
like
that,
but
really
you're
not
affecting
the
data
in
the
back
end
you're,
not
changing
the
excel
file,
and
also
this
is
very
easy
if
you
can
work
with.
C
So
when
we
go
and
look
at
this
now-
and
we
drop
it
out
here
to
say
it,
for
example,
the
fine
amount
we
can
see
by
double
clicking.
That
is
four
hundred
fifty
eight
thousand
dollars
in
fines
and
parking
fines
put
together.
If
we
want
to
do
from
a
look
at,
we
can
actually
change
little
on
the
format
sides
so
that
actually
we
get
some
dollars
and
different
paths
and
currency.
C
So
now
you've
gotten
your
ad
and
the
dollar
information
different
things
like
that.
You
can
do
it.
We
can
see
here,
we've
broken
this
out
and
maybe
what
we
want
to
do
with
this
is
going
to
break
out
some
information
about
the
actual
state
itself,
where
the
license
states
come
from
a
lot
of
care
from
Massachusetts.
This
is
kind
of
a
bar
graph.
Looking
at
maybe
I
want
to
look
at
this
from
a
little
bit
more
little
differently.
I
want
to
look
it
on
a
map
I'm
just
going
to
pull
this
off
you'll
see.
C
This
little
guide
is
telling
me
that
this
is
a
string
I'm
actually
going
to
convert
this
over
to
a
geographic
item,
called
a
skate.
A
lot
of
times
pulled
us
in
automatically.
If
you
see
state
because
they
said
st,
you
didn't
know
what
even
street
or
what
what
exactly
was,
but
you
can
easily
go
and
take
this
data
and
make
this
into
a
a
a
state
now.
C
So
if
we
go
and
drop
this
out
here
now
we're
now
going
to
see
this
information
beginning
short
on
an
app
automatically
and
as
we
see
this
information
show
on
the
map,
we
can
actually
look
and
see.
Where
are
the
license
day.
So
the
car
plates
came
from
all
these
different
states.
We're
going
to
drag
the
number
of
records
on
the
color
here
and
now
we're
beginning
to
see
visually
where,
where
some
of
the
people
are
coming
from
we're
looking
at,
we
didn't
have
anyone
in
this
period
from
West
Virginia,
Kansas
Iowa.
C
All
these
other
states
are
represented
in
the
actually
a
week's
work,
the
data
here
of
parking
fines.
So
when
today
verse
area,
you
may
also
know
if
it
doesn't
go
from
a
color
point
of
view.
I'm,
not
really.
You
know
a
big
fan
of
the
green,
so
maybe
I
want
to
change
it
over
to
something
else
to
get
blue
and
there's
also
some
good
reasons
to
do
that:
ten
percent,
the
population
of
the
red-green
colorblind.
C
So
when
you're
actually
putting
data
when
you're
putting
them
visualizations
together,
it's
always
something
to
bear
in
mind,
you're
all
who's.
Better!
Look
at
it
and
someone
who's
when
you
look
at
the
green
like
that,
and
your
red
you've
got
red-green
colorblindness,
it's
all
going
to
look
Brown
you're,
not
gonna,
see
a
lot
coming
out
of
it,
so
blue
and
orange
there
are
actually
clip
colors
to
use.
C
So
now
we
have
this,
you
know
showing
up
the
states
and
we
can
actually
begin
to
a
little
bit
more
information.
Let's
go
and
put
the
fine
amount
down
there.
You
can
see
all
right
now,
we're
being
to
see
where
all
the
different
states
the
fines
are
coming
from,
maybe
want
to
put
the
number
of
records
out
there.
So
we
can
actually
see
how
many
different
parking
fines.
C
So
we
can
see
14
parking
fines
came
from
California
and
indeed,
if
we
want
to
go
a
little
further
with
Mexico
and
edit
this
and
in
the
tooltip,
the
others,
you
know
we
can
actually
edit
the
label.
So
we
got
like
fine
amount
here
and
just
go
and
actually
edit
the
label,
because
in
here
into
the
logo
and
we'll
just
put
some
of
fine
amount
and
there
you
can
go
and
edit
is
to
make
it
a
little.
You
know
make
more.
C
You
know
easy
to
understand.
You
may
notice
that
I've
got
a
quite
a
big
overhang
for
Massachusetts
as
you'd
expect,
and
you
may
see
that
a
lot
more
data
being
that
we're
going
to
see
a
lot
of
false
and
data.
So
what
you
can
do
easily
with
this
is
I
can
just
come
along
and
exclude
this
guy
and
now
I'm
beginning
to
see
something
a
little
bit
more
interesting
now,
I
see
the
New
Hampshire
is
showing
up
here,
because
the
overhang
of
Massachusetts
is
kind
of
taken
out
of
the
picture.
I
can
now
see.
C
You
know
that
your
pencil
New
York
Connecticut
New
Hampshire,
really
begin
to
show
up
and
don't
worry
if
you've
actually
got
us
at
our
it
did
that
didn't
mean
to
do
it.
There's
a
nice
little
back.
Button
I
can
just
go
back
very
easily
and
I
can
go
many
levels
back.
If
I
want
you
two
to
very
quickly
get
it.
A
What
it
actually
did
mechanically
on
tableau,
was
it
moved
it
into
the
filter
shell?
So
when
you
set
up
filters
to
filter
down
your
views,
you
may
achieve
the
same
thing
by
dragging
back
to
the
filter.
Shell,
selecting
it.
What
if
you
do
in
the
few
it'll
automatically
do
that
just
so,
you
know:
what's
happening,
not
concerned
that
you
don't
what
happened?
Just
click
on
the
filter
shelf
do
things
tableau
is
on
backward
place,
isn't
open
their
basis.
What
you
did
yes,.
C
So
exactly
so
yeah.
This
is
an
example
of
filtering
as
requested,
and
indeed
you
may
want
to
be
more
explicit
with
this
from
a
social
point
of
view
yourself.
So
we've
got
different
things
in
here
like
the
or
the
vehicle
make.
We
can
actually
bizzle
out
on
this,
but
we
can
actually
do
a
quick
filter
on
this
and
you
can
see
here,
acura's
Audi's,
so
for
if
you
have,
if
you
wanted
to
just
basically
look
at
this
little
bit
differently,
maybe
the
question:
what
ask
is
many?
C
Aldi
drivers
are
getting
parking
tickets
I'm
now
seeing
the
many
Audi
drivers
in
the
state
very
quickly
very
easily
have
been
getting
their
parking
tickets,
so
you
can
use
that
to
do
analysis
and
there's
a
number
of
things
you
can
do
with
this
with
the
filters
them
for
certain
things
are
upset,
you
can
fit
sexy
data
around
like
I.
Do
drivers
four-wheel,
drive.
C
B
C
So
I
was
actually
going
to
the
next
thing.
That's
going
to
do
is
this
is
kind
of
at
the
state
level
as
Ralph,
but
I
mentioned
there,
there's
actually
that
along
here
and
that's
actually
specifically
down
to
the
city
levels,
so
I'm
going
to
do
another
visualization
but
you're
going
to
see
the
actual
locations
of
the
individual
parking
parking
events.
C
Key
I
can
actually
highlight
both
of
these
and
over
here,
I've
got.
Something
called
show
me
and
what
show
me
is
is
actually
kind
of
says.
Given
what
you're
looking
to
do,
what
kind
of
visualizations
make
sense,
and
one
of
them
you'll
see
based
on
laughter
longest?
It's
this
woman
through
it's
a
little
bit
dark,
but
the
ones
are
kind
of
got
some
color
associated
with
them
are
the
ones
that
are
that
are
going
to
work
for
this
data.
So,
for
example,
a
bar
chart
would
work
for
this
day.
C
C
But
now,
if
I
take
this
information
and
I
begin
to
put
simply
crowded
on
here
now
we're
drilling
down
to
the
actual
route
information
and,
if
I
look
at
this,
when
you
look
at
the
data
just
to
kind
of
give
you
an
idea
of
what
we're
talking
about
here
in
the
actual
data
itself,
data
set
itself
the
routes
like
a
10.
These
are
all
at
City
designations
of
route.
C
You've
got
the
street
name
on
here
too,
so
what
we
can
do
with
this
is
we
can
actually
construct
a
hierarchy
with
this
data,
so
I
can
actually
take
the
street
name
and
put
under
route
and
very
easy.
I
could
have
just
easy
dropped
it
on
there,
but
I
can
drill
down
so
certainly
to
the
street
name.
Will
drill
down
the
moment
to
the
actual
street
number,
so
if
I
actually
put
the
what
the
actual
location,
which
is
a
physical
location,
I
put
this
on
here,
I
can
actually
drill
down
to
each
individual
thing.
C
So
one
thing
you'll
notice
here
is
like
got
a
lot
of
a
lot
of
concentration
of
data
air.
So
what
I
may
want
to
do
with
this
is
an
able
to
look
at
the
color
a
little
bit
and
change
the
transparency
level.
It's
a
nice
tip
to
use.
You
have
to
go,
maybe
bring
it
down
to
about
a
fifty
percent
transparency,
maybe
look
yeah
and
then
I
may
what
a
little
border
around
stuff
so
now
beginning
to
kind
of
be
able
to
see
stuff
a
little
bit
more,
but
I'm
going
to
use
something
else.
C
They're
going
to
use
size
to
actually
begin
to
see
about
where
some
of
this
is
happening.
So
maybe
I
want
to
look
at
the
number
of
records
and
put
that
on
to
size
and
what
we're
going
to
do
is
now
we're
beginning
to
see
a
concentration
of
where
the
funds
are
occurring,
and
you
know
you
can
see
that
there's
small
amount
of
fines
going
on
down
here
back
in
a
mattapan
area,
you
can
see
the
city
is
getting
a
lot.
C
South
Boston's
got
some
lot
right
here,
so
I
don't
know
if
any
other
cars
that
on
the
street,
you
may
want
to
check
them,
but
you
can
actually
see
the
the
number
of
records
that
actually
occur
in
this
area.
The
other
thing
you
can
do
with
this
is
because
we
actually
had
that
route
information
there
and
now
we've
kind
of
lost
it,
because
we've
actually
drove
down.
We
can
also
take
this
route.
C
The
other
thing
you
can
do
with
this
is
I
can
actually
go
and
if
I
actually
didn't
want
to
see
what's
going
on
down
here,
I
can
drill
right
into
it.
Now
and
I
can
see.
You
know.
Ok,
where
these
are
occurring
in
the
city
and
I
could
actually
go
down
further.
You
know,
you
know,
look
at
it
basically
down
at
the
city
level.
You
know
the
the
individual
parking
locations.
A
C
He
only
me
know
the
map,
the
map
background
here,
yeah
so
yeah,
so
other
map
options
here,
there's
actually
some
layers
that
you
can
add-
and
this
can
kind
of
their
background-
is
worth
enrichment
of
the
day
head.
So
you
can
actually
look
at
the
streets
and
highways
that
it
can
be
added
on
here.
There
we
go.
C
A
A
C
And
the
other
thing
just
again,
depending
on
what
we
want
to
do
at
this,
this
is
not
necessarily
going
to
be
applicable,
because
you
know
we
can
see
exactly
where
the
streets
are
there's.
This
is
kind
of
explicitly
what
you
want
to
show
as
an
option.
There's
also
data
layers
depending
on
the
source
or
you
may
have
social
tech,
socio-economic
data
that
could
be
available.
C
So
there's
lots
of
different
things
like
that
in
layers
that
you
could
actually
add
on
that
it
shows
income
levels
and
things
like
that,
potentially
as
layers
that
may
be
available
for
the
data
set
to
so
you
know.
Now
we
have
your
nice
little
visualization.
You
can
see
exactly
where
support
of
some
of
the
fines
are
occurring.
We
may
want
to
look
at
the
final
okay,
so
yeah
we
got
I'm
going
to
do
two
more
things
from
a
two
more
visualizations.
We
have
fines
here.
C
So
if
I
actually
go
and
I
can
go,
put
all
the
fines
out
here
and
put
them
in
the
continuous.
So
if
I
actually
tell
something
like
the
worst
we'll
just
take,
it
was
a
vehicle
state,
so
it
will
take
vehicle
scared,
drop
it
out
there
and
we
did
find
them
out
before
our
vehicle
plus
to
type
of
vehicle.
So
I
will
preserve.
Do
that
you
can
see
it's
showing
the
sum
of
all
the
fines.
There
are
for
these
different
types
and,
like
four
doors,
are
actually
getting
a
lot
of
lines.
C
C
So
it's
just
saying
the
size
that
then
so
now
I've
got
this
this
fine
bin
here
and
I
can
actually
bring
this
out
and
then,
if
I
come
along-
and
that
might
add
my
number
of
Records
here-
number
records
and
I
just
walked
around
a
little
bit
now
you
can
actually
see
in
the
various
bins
where
the
actual
fines
and
the
preponderance
of
fines
are
between
the
twenty
and
forty
dollar.
There's
lots
of
information
in
there
about
it.
The
other
thing
you
can
do
with
this
is
we
have
this
license
state.
C
We
can
create
a
calculated
field
and
there's
lots
of
like
in
Excel
there's
lots
of
calculations
you
can
create
and
you
can
get
very,
very
complicated
to
line
causes
all
this
kind
of
stuff,
but
there's
a
lot
of
this
I've.
Actually,
you
know
it's
going
to
chefs.
Do
a
red
one
earlier,
but
basically
it's
a
it's
all
I'm
doing
what
this
is
I'm,
actually
taking
the
states
and
grouping
them
up
a
little
bit.
So
in
the
editor
itself
it
tells
you
whether
your
weather
is
valid.
C
This
is
going
to
say
what
actual
state
the
drivers
from
and
I've
actually
said.
Everyone,
the
Massachusetts,
never
Massachusetts,
everyone
is
not
in
Massachusetts-
is
New
England,
so
I'm
going
to
put
that
on
to
color
and
now
what
you're
seeing
is?
Here's
the
master
chooses,
be
people,
here's
the
other,
New
England
herbs
and
here's
people
from
outside
of
New
England.
So
again,
you're
enriching
the
data
it
just
by
doing
a
couple
of
calculations
on
it,
and
obviously
you
can
take
this
and
do
something
very
easy.
C
By
adding
on
here
there
on
two
labels,
you
can
actually
get
the
fines
for
each
group.
The
total
amount
to
begin
to
look
at
it
that
way.
One
other
final
thing
is
we've
date
here,
so
we
treat
dates.
A
couple
of
different
ways.
Dates
can
be
bottles,
you
can
look
at
every
Monday.
Maybe
you
want
it
down
the
road
with
the
park
advice.
How
do
they
compare
Monday
to
Monday?
How
do
we
compare
chooses
or
weekends
to
weekdays?
C
So
you
can
look
at
gates
and
head
of
buckets
or
it
can
actually
look
at
gates
continuously
and
that's
over
time,
and
because
I
know
this
data
actually
has
got
a
very
short
gap.
I
actually
have
in
here
defines
coming
across.
All
these
days,
I
can
see
a
trend,
so
the
parking
fines.
The
number
of
records
issued
going
up
here
and
I
can
see.
C
Well,
we
can
have
dropped
off
there
going
on
I
can't
have
an
idea,
so
one
of
the
things
I
did
earlier
on
was
that
join
so
I'm
actually
going
to
take
the
date
here.
I'm
going
to
add
it
out
here
and
I
actually
going
to
do
something
similar
again
and
make
this
a
date,
and
this
is
kind
of
a
parking
ban
piece
of
did
I.
Actually,
this
was
not
part
of
it.
I
actually
went
down
line
and
just
found
this
out,
so
I
have
a
to
charge
side
by
side.
C
What
I'm
going
to
do
with
this
guy,
though,
is
I'm
not
going
to
I'm
not
going
to
I'm
not
going
to
do
it
as
their
as
a
line.
I'm
actually
going
to
do
something
all
shapes.
So
I'm
going
to
do
as
a
shape,
file
and
I'm
going
to
take
my
parking
ban
for
Falls
and
put
it
onto
on
here.
Out
of
my
shape,
so
you'll
see
you
got
false
and
true,
which
is
kind
of
nice,
and
this
is
great
and
I
can
turn
around
and
I
can.
C
A
C
C
On
this
here
now,
I've
got
a
couple
of
different.
Damn
things
showing
up
I
can
actually
relate
these
together.
So
I,
remember
my
eyelid
loudly
one.
We
can
actually
come
along
here
and
apply
this
to
every
worksheet.
So
now
we
can
actually
look
at
a
rally
driver
drivers,
not
just
where
they
came
from,
also
where
the
cart
and
many
fines
they
actually
contributed.
So
very
not
very
quickly.
You
can
look
at
that
or
I
can
go
down.
C
C
So
you
can
actually
see
how
that
all
plays
together.
So
we've
got
a
nice
little
dashboard
put
together
and
I
can
say
you
know
you
know
we're
not
to
just
call
it
where
we're
not
to
park
and
I've
got
mine.
I've
got
this
in
my
heart
on
my
desktop
right
now,
save
it
out
just
for
me
to
go
it
back
into
it
again,
but
one
of
the
things
that
they
want
to
do
from
server
you'll
see
you've
got
this
option
called
tableau,
public
and
I
can
save
to
Wed.
C
So
now
we're
going
to
go
out
and
I've
got
my
own
login
here
and
you
can
just
go
online
and
get
yourself
a
free
log
on
to
to
tableau
public,
and
then
you
can
publish
this
as
and
it's
going
of
the
day,
hair
by
the
way,
its
local
here,
because
Excel
in
order
to
publish
it
out,
it
says
I
need
it
in
a
little
in
a
package
size.
So
it's
actually
it's
called
an
extract.
C
C
Save
to
web,
you
know
now
is
publishing
this
out.
Tell
me
all
the
stuff
is
going
to
publish
and
you
know
it's
going
to
send
it
up
to
to
the
website.
I
don't
have
to
do
anything
and
then
I'll
be
able
to
go
in
to
open
up
my
own
world
around
here
and,
as
this
is
going
up,
I'm
going
to
go
over
to
their
public,
and
this
is
tableau
public
and
in
a
moment
my
earpiece
will
show
up.
C
As
rick
said,
there
is
a
lots
of
different
things
out
there
when
you
go
up
to
public
I,
actually
have
a
link
to
it
here.
There's
an
actual
gallery
in
here
of
all
this
my
mind
coming
up
here
now,
but
there
there's
a
gallery.
There's
our
map.
You
know,
here's
all
our
LD
drivers
gives
all
the
stuff
we
looked
at
before
on
public.
The
same
kind
of
interaction
is
available,
but
in
public
you
have
here
all
the
different
does
real
estate
information.
So
there's
actually
some
people
don't
let
heat
index
with
zillow
data.
C
You've
got
social
media
sports
travel
health
government
data.
So
some
great
ideas
up
here
there's
lots
of
lots
of
different
things
about
diabetes,
does
Paris
fires
there's
also
for
a
wrap
April?
Probably
in
this
room
is-
and
you
know,
interested
in
some
interesting
sports
stuff,
so
you've
got
stuff
in
here
about
how
did
the
this
is
the
talking
at
the
odds
of
you,
making
the
actual
Super
Bowl?
C
So
the
pictures
you
can
kind
of
see
by
the
third
quarter,
the
odds
is
making
the
super
bowl
in
the
championship
game
we're
pretty
high
because
ever
remembers
in
the
Seahawks
game.
Those
odds
were
getting
pretty
low
before
they
went
into
the
into
the
overtime
with
the
with
the
Packers
and
as
you
go
on
each
one
of
these
it'll
actually
click
into
your
video.
C
This
is
another
example
of
just
someone
who
has
done
some
nice
cool
stuff,
so
you
know
you
actually
did
actually
gone
and
taken
some
graphics
and
used
and
enrich
the
data
a
little
bit
with
some
graphics
to
do
some
stuff.
That's
pretty
nice!
This
one
here.
Is
we
really
like
this
one,
because
it's
actually
a
really
good
type
of
visualization,
these
use
of
gray.
C
As
saying
there's
lot
of
good
data
here,
but
the
Reds,
what
I
care
about
it's
kind
of
a
bit
of
a
morbid
thing,
it's
all
about
the
actual
deaths
and
incident
in
axis
close
to
us
things.
This
kind
of
jumps
out
here
is
you
know,
generally.
First
is
a
bad
time
to
be
on
the
road,
especially
late
at
night,
like
around
forward
to
July
is
not
really
good
either,
so
you
can
actually
see
kind
of
the
fatalities
of
the
Kurds.
C
A
Venable
do
that
this
is
a
good
example
again,
because
his
nanoha
story,
the
time
to
tell
them
it's
really
easy
to
create
there
that
make
certain
colors
the
shapes
that
very
hard
to
discern
what
you're,
trying
to
tell
it
just
happens
to
be
a
really
great
example
of
the
use
of
annotation
it
talks
actually
about.
You
know
the
overall
reduction
in
fatalities
with
an
enticing
your
annotation,
certain
legislative
events
that
to
actually
going
to
cause
the
graph
this
v-neck
of
a
lot
about
that
detail.
B
A
Again,
obviously,
we've
been
easy
to
choose
shades
of
bread
here,
but
really
the
shades
of
red
really
tell
the
story
when,
when
we
don't
care
about
legarreta
brandy,
undresses
is
generally
not
important.
So
just
a
good
example,
really
good
use
of
visualization
techniques,
cell
story
implants
and
this.
C
One
here
this
is
an
example
of
something
else,
whole
story
points,
and
this
is
something
that
you
can
actually
create
too
yeah,
and
what
this
is
is
actually
it's
got
some
visualizations
on
here,
but
you
actually
explicitly.
This
is
kind
of
giving
your
blow
your
color
commentary
on
the
data.
You
can
actually
go
through
leg
line
by
a
lot
bit
by
bit
and
actually
build
a
story,
explain
stuff
in
here.
C
So
again
with
some
of
the
data
you
have
there,
you
know
you
may
want
to
actually
take
this
and
you'll
build
a
story
around
the
waves
data.
Maybe
you
want
to
build
a
state
data
around
the
parking
data,
all
the
different
kind
of
things
you
can
do
this
with
it.
You
can
even
look
and
we
didn't
really
get
to
it
from
from
our
data
set
new
scatter
plots,
so
you
can
do
a
lot
of
different
things.
So
your
look
at
correlations
between
events.
You
can
easily
do
that,
just
just
to
emphasize.
A
C
A
A
C
Two
things
that
are
actually
three
thing
but
they're,
quick
one
is
on
public
download
any
of
these.
You
can
take
them
apart.
You
can
actually
figure
out
what's
in
them
and
kind
of
say
that
was
kind
of
cool.
How
do
you
do
it
so
the
download
option
you
can
just
take
it
down
with
the
stuff
you
do
create.
Please
put
it
up
there,
because
people
love
seeing
this
stuff
there's
a
lot
of
great
stuff
out
there
and
you
know
contributing
to
it.
It
kind
of
riches.
Everybody
a
couple
of
things
am
the
public.
C
We
said
here
was
the
actual
site
itself.
It's
a
Cal
com,
public
gallery
our
public
over
there.
You
see
the
link
up
on
the
board
and
then
the
other
thing
is.
We
actually
have
a
lot
of
online
free
online
training,
so
this
videos
is
YouTube
clips
as
a
whole,
lot
of
stuff
actually
step
by
step
and
how
to
do
stuff.
So
if
you
go
there,
you'll
actually
find
a
lot
of
different
ways
of.
If
you
kind
of
say,
I'd
like
to
do
that.
How
does
someone
do
that?
You
can
actually
see
that
on
these
videos.
A
B
A
Check
out
the
community,
if
you
get
stuck,
the
community
is
really
really
imagine
you
got
such
antiquated
calculation,
X,
Y
or
Z
chances
are
pretty
good,
but
he's
actually
going
to
jump
on
so
great
here,
but
over
the
course
of
the
next
few
weeks
the
people
and
resources
who
else
a
little
too
high.
But
they
answer
my
questions.
A
C
C
The
community
just
hear
a
lot
of
time
to
open
Cambridge,
Kendall
Square,
but
that's
a
good
community
also
so
with
that.
Okay,
thank
you
very
much
for
listening
to
me
on
a
Saturday
morning
and
be
attentive
before
lunch
and
we're
right
on
target
be
two
minutes
to
spare
get
back
to
get
out
for
lunch.
So
thank
you.