►
From YouTube: 6 - Gráfico de Dispersión en DevExpress Dashboard
Description
Click Here to Subscribe: http://xaf.life/35
Websites:
https://xafmarin.com/
https://www.xafers.training/
http://xafersweekly.com/
Facebook Group
http://xaf.life/4g
A
Greetings,
welcome
to
another
video
from
our
channel
about
the
despres
dashboards,.
This
time
we
are
going
to
deal
with
the
following
element
in
the
order
that
we
originally
told
you,
because
we
are
going
to
deal
with
it,.
Everyone
remembers
if
you
remember
in
the
previous
video,
well,,
we
dealt
with
the
graph
today.
This
graph
touches
the
scatter
graph
because
of
its
statistical
nature,
because
they
will
allow
us
to
help
give
us
some
documentation
to
be
able
to
read
present
something
much
more
logical
or
alain
in
the
information
that
we
want
to
show.
A
We
help
ourselves
from
some
page.
Some
information
can
live
at
wikipedia,
also
and
see.
The
information
from
these
people
and
from
the
company
engineer
page,
have
a
definition
of
what
dispersion
is,
and
they
say
that
it
is
defined
as
the
degree
of
distance
of
the
set
of
values
with
respect
to
its
average
value.
Well,
then,
from
that
definition,
They
derive
measures
of
dispersion
that
we
learned
in
statistics,,
which
was
the
range,
alliance,
covariance,
with
relationship
efficiency,.
A
Well,
we
have
a
positive
correlation
in
the
case
of
what
the
values
we
were
planning
to
have
and
what
we
had
were
successful
for
a
negative
correlation
when
the
values
The
expected
values,
got
out
of
control
and
a
null
relationship
when
the
expected
values,
and
reality
were
very
close,
and
the
dispersion
was
not
so
small
or
null,
well,
nothing,,
leaving
theory
aside,.
We
are
going
to
return
here
to
our
duties,
yes,
without
Before,
showing
you
that
we
have
built
a
small
excel
table
to
be
able
to
carry
out
an
objective
exercise,.
A
We
have
built
a
temperature
table
with
all
the
hours
of
the
day
and
at
those
hours
of
the
day
we
have
placed
the
temperature
that
we
have
forecast
for
that
hour
and
the
one
that
actually
occurred
from
According
to
this,.
We
are
going
to
build
our
scatter
graph,
well,,
then,
to
connect
that
excel
sheet,
we
come
here,.
We
will
give
it
a
new
one,.
We
are
going
to
put
excel
data
activity
in
it,.
A
Remember
that
this
is
basically
so
that
it
appears
to
us.
If
the
data
source
does
not
have
it.,
you
can
call
it
any
name.
You
can
put
the
name
you
want
so
here
it
will
turn
it
on
and
from
a
mass,
it
takes
say
an
excel
book
or
an
egg,
as
we
would
say
in
English.
We
give
it
the
following
here
we
select
the
sheet
in
this
case.
I
have
a
folder
where
I
have
everything
under
excel
for
testing,
but
you
would
look
for
it
in
the
folder
you
have
and
simply
in
this
tab.
A
Basically,
what
you
configure
is
the
end
that
I
used
the
first
row
for
the
names
of
the
fields
you
see
them
here
have
a
row
and
Well,.
They
are
the
names
of
the
fields,
and
here
it
says
that
we
should
skip
the
rows
that
are
so
empty,.
We
should
skip
the
ones
that
are
hidden,
the
columns
that
I
have
hidden,.
This
is
good,.
It
is
important
to
configure
what
marks
the
mark
in
what
sense
in
which
here
it
determines
the
things
that
basically,
they
are
going
to
affect
it
in
the
reading
of
its
correct
good.
A
So
here
it
says
that
these
are
the
columns
that
we
have
that
these
are
the
types
of
data.
By
the
way.
Now
it
sees
it
as
date
and
time
and
here
the
values
as
numeric
for
then
we
can
give
a
preview
notice
that
this
is
the
same
data
that
I
am
afraid
of
in
excel,
if
I
put
it
next
to
it
from
the
other
they
realize
I
have
the
hours
I
have
planned,
the
real
select
I
already
have
we
are
connected
and
we
have
the
data
you
want
here.
A
We
can
give
you
a
good
finish,
so
we
are
going
to
create
our
scatter
graph.
We
are
going
to
put
the
scatter
graph
here,
notice
that,
unlike
the
previous
graphs
or
of
the
previous
objects,
appear
to
us.
Other
elements
appear
to
us
on
the
x-axis
that
at
one
point
we
discussed
in
the
graphs
from
now
on
and
the
weight
appears
to
us.
The
weight
would
basically
be
an
element
that
will
create
volume
at
the
points
where
the
x
axis
and
the
axis
intersect.
A
This
volume
could
be
given
by
an
intensity
of
something
that
you
have
defined.
In
our
case,
we
do
not
have
the
intensity
or
we
do
not
have
a
weight
that
creates
a
volume,
since
neither
is
the
obligatory
data,
then
the
frequency
argument
that,
when
the
In
the
same
graphics,
we
mention
that
the
argument
of
what
separates
our
values,
and
disperses
them
and
create
categories,,
create
groups,,
etc.
We
are
going
to
start
with
the
argument
in
our
argument,.
A
In
this
case,
it
will
be
the
time
that
is
going
to
divide
the
elements
that
We
have
the
year
by
default,.
You
know
that,
since
you
are
seeing
it
as
a
date,,
but
right
now
we
have
the
perfect
time,.
We
already
have
our
argument,.
So
now
we
are
going
to
drag
our
x-axis
in
the
case
of
the
x-axis,.
I
am
going
to
put
the
expected
to
the
forecast
temperatures
and,
in
the
case
of
the
axis,
I
will
put
those
that
actually
occurred
according
to
our
sheet
in
our
exercise.
A
So
on
the
axis
that
we
are
going
to
put
the
expected
and
the
real
then
put
on
the
axis
notice
that
there
the
points
coincide,
nothing
Because.
The
events
occurred
at
certain
times,,
so
at
this
time,,
which
was
5
in
the
afternoon,
to
say
something
happened
than
expected,,
it
was
20
degrees
and
the
real
thing
was
28,,
etc.,,
etc.
Well,
of
course,
I
put
some
true
values,,
but
if
I
had
a
production
for
you
real,
the
element
of
12
credits
will
be
much
more
adjusted
to
its
quality,
notice.
A
That
here
we
said
afternoon
draft,
the
forecast
temperature
was
25
and
the
real
one
was
25.9,
and
so
on,
there
will
be
an
idea,
but
look,.
How
interesting?
Because
you
can
here,
you
can
say
hey,
but
here
I
had
planned,
because
the
frequency
that
the
control
has
is
real
and
I,
say
or
I
will
go
here.
I
said
that
it
was
going
to
be
the
one
that
I
had
planned.
A
Sorry
28
and
it
occurred
to
me
that
it
was
27.27
Alice
well
with
the
scatter
graph
In
order
not
to
dwell
on
the
subject
too
much,
you
already
understood,
I,
hope
you
understood
the
philosophy,.
You
can
leave
us
a
comment
and
we
can
explain
to
you
a
subject
of
this,
additional
frequency
in
each
element
that
has
traces
of
these,
I
have
my
distribution
and
styles,
and
here
I
can
play
with
the
things
that
I
can
configure
my
team
better
I
can
tell
them
that
the
check
is
going
to
be
displayed.
A
What
the
text
is
going
to
be
called,
for
example,
here
the
type
of
effect
says
sum,
but
I
can
tell
them.
No
that
I
just
want
them
to
have
foreseen
that
this
has
not
trotted.
I
know
here
is
the
logarithmic
scale
of
how
they
are
going
to
make
the
jumps
that
I
am
going
to
have
by
default
from
the
normal
jumps,
because
it
will
be
the
range
that
I
had
of
21
degrees
29,
but
if
I
wanted
to
jump
it
I
would
do
it
in
another
way
when
I
play
configure,
that
etc.
A
the
format
of
the
values.
in
this
case
is
automatic
because
in
small
decimal
values
,
but
if
you
had
large
values
-
and
you
want
the
commas
to
be
seen,,
the
decimals
to
be
seen,
etc.
here,
you
simply
adjust
that
data
to
your
perfect
criteria,
then
notice
that
there
you
can
go
playing
with
the
label
points
for
these
label
points,
for
example
right
now
to
find
out
what
he
has
I
have
to
get
closer
and
get
on
top
of
him.
A
But
if
I
say
no
I
want
him
to
show
me
the
label,
look,
what
is
there
and
the
is
showing
it
is
showing
the
time,
the
time
the
event
occurred
and
the
point
that
coincides
with
this.
But
if
you
wanted
to
see
the
argument,
it
will
show
what
value
the
weight
etc.
you
can
play
with
this
theme,
and
we
already
know
the
events
that
occurred
at
hours
that
are
here
and
there
we
can
see
one,
and
we
can
do
many
things.
A
We
can
also
put
the
legend
in
the
place
we
want
to
like
more
on
this
side,
etc,
etc,
etc,
and
so
of
course,
they
also
always
have
the
right
click
to
change
values.
to
edit
color
rules
that
when
it
is
from
such
an
hour
to
such
an
hour
that
I
see
one
color,
etc.
etc.
well,,
definitely
wonders
can
be
done
and
remember
that
in
a
final
video
we
are
going
to
some
of
the
tools
we
can
to
build
a
great
overflow
with
many
elements.