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From YouTube: OPEN DATA - POLICE DASHBOARD VIDEO LAUNCH
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A
She
is
the
technology
brains,
the
table
to
put
kind
of
brief
focus
to
the
dashboard
and
make
it
what
it
is
and
then
to
her
right.
This
Sarah
Jones
records,
bureau
manager
and
records.
The
records
group
has
a
big
big
part
of
trying
to
craft
a
dashboard
sets
where
all
our
information,
another
person.
That
is
not
here,
that
I
would
like
to
recognize
his
Michelle
Smith.
A
The
chief
secretary
Michele,
was
kind
of
that
fourth
person
who
came
in
during
this
especially
kind
of
towards
the
end
and
was
another
I
like
telling
us
like
what
do
you?
What
do
you
think?
Maybe
this
works
better
versus
that
putting
a
lot
information
individualization
could
be
a
little
challenging.
What
we
may
think
looks
good
or
make
sense.
Intuitive
may
not
be
what
the
reader
says.
So
she
had
an
important
function
there
with
helping
us
make
some
these
visualizations,
as
real
as
it
could
be.
A
A
Then
some
of
the
limitations
of
where
there
I
think
the
one
obvious
goal
of
the
dashboard
is
transparency.
Transparency
is
a
universal
large
demand
from
communities
across
country.
Evanston
is
no
different,
so
is
increased
transparency
we
also
as
to
increase
awareness
of
the
department's
activities
and
operations
and
kind
of
the
details
that
go
into
that.
What's
the
police
department
doing
what
are
they
handling?
Were
they
coming
in
contact
with
it's
also
a
tool
to
increasing
engagement?
A
We
want
this
to
be
some
visually
appealing
enough
and
have
information
that
people
are
legitimately
interested
in
that
they're
going
to
visit
this
dashboard,
not
once,
but
maybe
several
times
or
throughout
the
year.
People
are
interested
in
their
community
issues,
with
the
police
department's
doing
they're
going
to
come
back
to
this
dashboard
and
check
up
on
what
we're
doing
it's
also
to
create
a
resource
for
the
public
and
the
police
department.
A
A
But
it's
not
an
extensive
breakdown
statistics,
so
you
may
may
read
something
on
there.
You
may
have
a
question
you
may
need
to
follow
up
with
us
and
that's
perfectly
fine.
We
understand
that
that's
going
to
be
part
of
it,
especially
depending
on
what
what
your
goal
is
when
you
go
there,
if
your
goal
is
a
general
awareness
of
what
is
the
Police
Department
doing,
you
might
be
able
to
go,
there
go
okay,
well,
I'm
good
with
it
and
somebody
might
go
well.
A
You
know
what
this
this
information
I
want
to
know
more,
what
I'm
doing
with
this
information,
so
they
might
be
press
related,
like
the
press,
to
go
to
this
and
say
well.
I've
got
an
idea,
I'm
interested
in
this
story,
but
there's
not
enough
information
on
here
to
write
a
story.
They
said
what
the
and
also.
B
A
Police
activity
captures
all
police
activities
and
actions
by
all
members
of
the
police
department.
It's
not
just
Patrol,
it's
detectives
and
it's
all
activities
anywhere
from
a
part
of
a
plane
to
a
directed
area
of
patrol
where
an
officer
might
go.
We've
had
some
issues
here
with
a
nuisance.
I'm
going
to
park
here,
sign
off
up
until
thefts,
arrests
for
violent
crime.
A
A
Means
less
activity,
the
Fourth
Ward
includes
the
police
department
and
because
of
that,
the
fourth
words
numbers
are
going
to
be
a
little
a
little
skewed,
because
there's
a
lot
of
activity.
That's
code,
that's
that's,
basically,
is
the
police
department,
a
report
might
be
generated,
people
might
come
in
to
the
front
desk.
Let's
go
to
the
downtown
area
itself
does
generates
the
police
activity,
so
the
fourth
floor
is
going
to
be
darker.
C
C
A
So
if
we
scroll
down
this
is
our
happy
with
that.
Let's
we
got
the
time
freeze
last
year
so
365
days.
So
now
we
still,
we
have
over
a
hundred
nature,
calls
hundred
activity
and
we
put
together
a
visualization
for
the
top
ten
police
activities
by
type
and
this
would
this
would
be
a
directed
area
of
control.
Traffic
stop
follow
up,
which
would
largely
be
work
done
by
detectives,
maybe
signing
off
to
speak
to
a
witness.
A
A
So
we're
going
to
the
next
data
set,
which
is
arrest,
filled,
contacts,
victims
and
offenders.
So
here
we
have
a
map
of
where
our
routes
take
place.
It's
the
last
365
days,
the
dots
either
you
know,
Dyson
made
an
arrest
or
multiple
arrests
at
location.
If
you
were
to
hover
over
that
diamond,
will
kind
of
tell
you
how
many
arrests
were
there
again.
A
We
have
a
clustering
around
the
police
department
of
arrest.
There
are
us
to
come
out
of
the
Fourth
Ward,
the
downtown
area,
but
again
the
rest
to
occur
to
the
police
department.
Please
promise
in
the
4th
Ward
for
1454
all
the
way,
so
there's
going
to
be
an
elevated
amount
of
arras
I.
Think
some
of
some
of
the
locations
that
police
department
have
forty
forty
six
arrests
there
and
it
may
look
like
there's
a
lot
going
on
there,
but
actually
that's
just
the
police
department.
C
A
So
here
our
field
contact
parts
with
something
I
want
to
say
about
this
visualization
here
this
visualization.
If
you
look
up
a
field
of
contact
day,
we
have
the
last
25
months
that
takes
us
to
the
beginning
of
2017.
These.
We
utilize
bars
here.
So
you
can
see
a
year
by
year
of
comparison.
So
it's
easy
to
see
the
only
issue
with
using
bars,
as
it
does
not
give
a
percentage.
A
But
if
you
hover
over
so
fill
contact
cards,
we
have
618
fields
to
contact
cards
for
2017
where
there
was
no
pads
out
and
we
have
500
to
field
contact
cards
for
2017
when
there
was
a
pact
up
and
basically
pat-downs
versus
no
pat
downs
on
a
field
contact
tracks
around
50/50,
it
might
be
forty
three
forty
or
fifty
three
forty
seven
one
year
might
go
the
other
way.
Forty
fifty
one,
forty
nine,
but
it's
about
50/50,
and
they
said
this
is
the
last
twenty
five
months.
A
A
A
A
One,
the
pat-downs
field,
contact
pat-downs
categorized
by
race
in
the
years
past,
the
chief
of
police
or
chief
Addington
would
once
a
year
go
and
talk
about
our
pat
downs,
our
staffs,
who
we
were
paying
down
they're
coming
in
contact
with
that
was
fun
once
a
year
in
the
council.
This
is
doing
it
in
a
way
that
we
think
that's
basic,
that's
updating
consistently
and
that
people
can
go
to
and
see
what's
happening
instead
of
having
that
company
information
come
out.
What
see
you.
A
C
A
Explanation
there
would
be
that
we're
not.
We
have
a
we're
missing
something
in
2019
the
still
needs
dog
day,
and
that's
why
going
25
months
so
this
morning,
I
wanted
wanted
to
have
visualizations
that
looked
accurate,
valid,
reliable
I
went
29
months
with
24
months.
I
went
a
little
bit
longer
than
25
months,
at
least
when
I
was
doing
it.
It
was
still
picking
up
some
of
the
last
year
or
of
the
year
of
2016.
A
So
for
what
we
do,
when
we
categorize
a
race
for
traffic
stops
under
us,
we
do
it
by
an
Sara's
here.
She
can
she's
feel
free
to
correct
it.
Jumping
in
correct
me
if
I
say
something
incorrect
and
that
if
we
categorized
race,
basically
under
two
different
sets,
the
one
is
what
the
state
requires
us,
how
to
categorize
race
and
then
how
we
do.
My
traffic
stops.
The
big
difference
there
as
traffic
stops,
will
want
us
to
come
people
that
are
Hispanic.
A
B
A
Look
at
these
numbers,
it
looks
like
Hispanics,
are
really
really
underrepresented,
but
the
way
that
we're
supposed
to
categorize
race
and
record
it
for
a
lot
of
these
numbers
was
not
supposed
to
be
Hispanic
at
all.
I
would
say
that
that's
probably
a
limitation
for
what
the
public
would
want
to
see
it's
something
we
might
look
to
work
on
in
the
future,
but
right
now
with
how
we
record
data
and
the
information
about
the
technology
available,
this
is
what
we
have.
This
is.
This
is
how
the
visualization
comes
out.
A
So
for
pat-downs
in
2017,
the
percentages
out
there
I
kind
of
broke
the
percentages
now
2%
of
pat-downs
were
people
that
were
age
/
people
that
were
categorized
as
my
Asian,
approximately
70%
we're
people
that
were
categorized
this
black
or
african-american
1%
that
were
disbanded,
but
we
Hispanics
should
not
be
in
this
data
set
anyway.
So
we
have
like
one
field
contact
card
there,
so
it's
less
than
1%.
A
A
A
Whichever
numbers
are
smaller,
it
is
70%
black
26
percent
white
and
4
percent
everywhere
else.
So
if
it
tracks
around
that
area,
those
are
pads
out
victims
by
race
and
Evanston.
So
before
we
go
further,
I
want
to
bring
your
attention
to
know
value,
and
this
might
be
something
that
we
change
relatively
soon:
the
no
value
when
it
comes
to
victims.
There
was,
it
certainly
will
houses
no
value.
What's
going
in
there
like
what?
Why
is
there?
A
A
A
A
C
A
A
B
A
A
To
get
percentages
and
we
go
back
the
last
twenty
eight
months
so
of
our
traffic
stops
categorized
by
race,
approximately
60%
of
60%
of
who
were
stopping
is
white
31%,
our
black
graph
in
American,
this
percentage
of
Asian
Hispanic.
We
have
a
no
value
unknown
or
other,
and
what
was
their
explanation
for
in
this?
The
no
value
unknown
or
other?
We
have.
D
D
A
Would
do
traffic
stops
under
these
record
under
these
parameters?
White,
a
Caucasian
black
or
african-american
American
Indian,
/,
Native,
American,
Hispanic,
Asian,
Native,
Hawaiian
or
Pacific
Islanders?
Those
are
so
in
here.
There
is
a
Hispanic
component.
We
think
that
in
our
traffic
stop
data
because
we
have
we
have
to
record,
we.
A
For
some
incidences-
and
this
more
would
record
this
panic
that
we
think
we're
losing
probably
than
Hispanic
numbers
being
underrepresented
in
this,
and
that
would
be
a
follow
on
training
issue
for
us
to
take
care
of
and
then
train
our
officers.
I
would
say:
that's
probably
right
now,
one
of
the
biggest
publishers
say
something
that's
been
revealed
us
working
on.
This
is
a
training
issue.
We
need
to
go
back
and
retrain
people
how
to
record
towards
categorize
race
on
reports
vs.
traffic
stops.
A
A
A
A
This
approximate
breakdown
following
our
citations,
that
we
write:
five
percent
Asian
26%
black
or
african-american,
one
percent
Hispanic,
a
four
percent
unknown,
a
fifty
seven
percent
white
or
Caucasian,
and
then
an
eight
percent,
no
value
and
the
no
value
appears
to
come
from
either
handwritten
tickets
or
see
tickets.
Where
race
is
not
that
put
in
there,
it
should.
A
Yeah
I
mean,
like
you're
gonna,
be
anywhere
from
a
speeding
ticket
rolling
a
stop
sign,
no
insurance,
only
weapon.
If
there
was
a
see
ticket
issue,
we
would
not
issues
like
if
somebody's
probably
hand
go
when
I
did.
She
was
see
ticket,
but
there
might
be
some
minor
cannabis
arrest.
We
issued
see
ticket
for
dogs
off
Alicia's,
the.
C
A
B
A
A
The
future
like
aids
would
not
be
a
component
or
something
we
could
categorize
fathe,
but
raised,
and
the
race
of
the
people
that
were
calling
the
police
partner
coming
in
contact
with
Bourassa.
Patents
have
been
clearly
communicated
us
as
a
concern
for
the
community
and
something
that
they
want
to
see
in
information
is
available
and
moving
that
information
for
me
once
a
year
presentation
that
the
chief
would
do
at
a
city
council
to
kind
of
having
it
or
that
kind
of
having
it
available
pretty
much.
A
A
D
A
In
here
what
sir?
Oh,
no
records,
no
manager
says
the
state
collects
this
information
by
rate
and
it's
not
to
say
that
maybe
number
well,
we
couldn't
do
something
by
age,
but
this
this
is
by
rate.
This
is
by
race.
That's
how
the
state
wants
us
to
collect
it.
So
well,
the
level
we
don't
make
a
whole
lot
of
unilateral
decisions
of
how
we
keep
records.
It's
pretty
well
regulated
and
governed
by
whether
it's
the
FBI,
the
state
in
various
entities
in
this
state
there
comes
to
traffic
stops
for
us.
How
we're
doing
it!
A
And
each
is
an
important
component
when
you're,
when
you're
like
I'm,
not
going
to
be
to
say
that
it's
not
there,
it's
not
important,
it
is
important.
It
is,
can
be
important.
It's
important
thing
to
know
just
what
we
have
with
our
limitations.
Won't
try
to
visualize
right
now,
right
now
with
the
dashboard,
maybe
the
future.
We
can
have
that,
but
just
right.
A
A
A
A
A
A
Came
up
with
that
that
proving
problematic
one
is
with
the
issue
of
validity.
What
is
it
with
the
issue
of
Technology
and
what
is
the
way
we
record
the
way
the
police
reports
are
written
for
traffic
accidents.
It
doesn't
necessarily
lend
itself
to
interceptions.
So
when
we
try
to
categorize
this
information
by
intersection,
we
basically
got
was
just
the
ten
most
traveled
streets
in
Evanston.
So,
like
the
longer
the
street,
the
busier
was,
it
was
up
it.
Migrations
number
one
doctor
was
number
two.
A
Every
set
was
number
three,
and
also
when
you're
looking
at
intersections.
It's
like
well
there's
an
intersection
that
has
one
hundred
thousand
cars
going
through
the
going
through
a
year
or
a
week
or
whatever
it
is
versus.
Maybe
an
intersection
has
less
cars,
but
a
higher
percentage
of
access,
and
that's
something
we're
not
going
to
capture.
A
D
A
This
one
is
for:
why
do
we
have
a
unable
to
determine
dynamic?
Why
is
that
up
there
as
far
as
a
cause-
and
one
is
hittin-
runs
to
come
back
and
you
find
your
car
hit,
you
make
the
report,
you
know
what
the
trimming
factor
was,
what
the
offender
did
they're,
not
there.
We
have
an
incomplete
picture.
We
have
to
get
in
there
on
the
other.
One
is
dust
reports
that
don't
capture
the
information
as
far
as
like
what
we
had
an
accident
and
that's
kind
of
that's
kind
of
the
end
of
it.
So.
A
A
A
A
That
rifle
37
shotgun,
31,
930
toy
BB,
gun
replica,
started
I.
Think
it's
good
for
the
moment
to
have
an
awareness
that
we
do
come
in
contact
with
people,
offenders
subjects
on
the
street.
There
are
10
that
are
carrying
guns
that
are
not
real,
but
look
very
real.
We
do
have
people
that
do
commit
crimes
with
with
guns
that
are
not
real
thing.
We
get
in
that
thing
our
box
cutter
BB
gun,
so
we
go
back
to
other
weapon,
so
a
yellow
weapon.
So
what
is
another
weapon?
B
B
A
Combinations
and
complaints-
this
is
kind
of
this
is
relatively
self-explanatory.
Commendations
is
a
number
of
complements
recomendations
we
get
from
the
public
or
other
agencies
about
officer's
conduct,
and
then
complaints
is
going
to
be
the
number
of
Department
inquiries
or
complaint
registered
numbers
that
we
have
generated
based
on
citizen
complaints,.
A
A
A
So
we
hover
over
taser,
that's
for
non-intact
4,
8,
11
13,
so
we've
had
ten
years
of
force.
We've
had
13
types
of
use
of
force
used
so
far
this
year,
and
why
would
you
have?
Why
would
the
number
of
13
be
greater,
then
and
I
mean
the
answer?
There
is
if
an
officer
has
to
use
the
force
every
every
every.
A
But
within
that
incident
there
may
be
more
than
one
type
of
force
use.
So
if
an
officer
is
in
a
fight
with
somebody
and
they
initially
strike
them
with
their
fists,
that
will
be
recorded
as
a
weapon,
this
impact
and
if
they
move
towards
a
Taser
and
then
we
record
the
taser
deployment.
It's
one
incident
with
two
types
of
force
used
within
that
incident
and
that's
why
they
know
that.
That's
why
the
song
of
these
are
not
impact,
but
Wilson
heads
and
everything
down
here
could
be
higher
for
the
total
number
of
incidents.
D
A
This
is
not
an
automatic
feed.
This
is
something
has
to
be
catered
dinner
manually.
So
remember,
the
press
wanted
to
do
something
with
this.
I
would
highly
recommend.
They
call
me
and
make
sure
that
that's
current,
because
they,
this
will
probably
be
a
once
a
month
update.
So
if
you're
getting
later
in
the
month,
you.
E
A
Get
some
immediate
adjustments
that
we're
gonna
make,
but
then
we're
gonna
kind
of
let
it
run
for
a
while
as
long
as
nothing
is
inaccurate
and
as
far
as
style
of
a
style
and
how
it's
crafted
and
how
its
presented
we're
gonna
want
to,
let
it
run
for
a
while
get
feedback,
see
what
our
feedback
tells
us
and
then
make
adjustments
accordingly
down.
We
don't
want
to
get
like
two
to
P.
You
know.
B
A
Incidents
of
feedback
telling
assist
change
it
and
they
get
three
down
the
road
saying.
No,
we
liked
it
better.
We
want
to
have
a
sample
that
we
can
make
some
some
good
judgments
off
up
and
change.
So
again,
it's
an
evolution,
it's
something
to
review,
probably
on
a
yearly
basis
at
a
minimal
in
light
of
the
information
and
the
technology
that
we
have.
C
B
A
A
B
A
A
B
A
D
B
A
B
A
Can
tell
you
what
state
was
that,
but
not
exactly
so,
I
think
with
the
plans
for
those
well.
This
is
what
this
this
this
departments
doing,
and
then
we
could
go,
look
at
it
and
see
what
well.
We
would
like
to
do
that
that
and
we
can
do
that
within
our
park
limits
of
technology,
but
they
might
be
doing
something
else
that
we
don't
have
available.
A
I
mean
part
of
it
is
just
like
we
want.
You
know
one's
the
goal
of
the
transparency,
so
people
know
that
we're
out
there
and
I
think
that
that's
like
they
said
I
think
that's
something
I
would
one
of
the
biggest
goals
we're
trying
to
meet
here
Oh
as
far
as
like
assessing
from
the
metrics.
What's
in
there,
you
know
it
depends
to
do
even.
A
Depends
on
the
sizes
statistical
sample
in
year-over-year
comparison,
so
you
know
we're
talking
about
what
we're
stopping,
how
many
pat-downs
tribes
of
traffic
stops.
Those
are
pretty
big.
Those
are
bigger
numbers,
so
I
think
we
can
look
at
that
and
maybe
you
know,
come
up
with
a
couple,
but
why
is
this
happening?
Why
is
this
change
pong
with
a
couple
likely.
B
A
A
D
A
B
A
A
E
B
B
A
A
C
A
B
A
Even
for
us,
it
was
like
what
we
thought
would
be
a
good
way
to
visualize
data.
We
just
realized,
it
wasn't
gonna
work
and
sometimes
we
had
to
either
keep
it
simpler
or
just
almost
take
it
like
the
use
of
forest,
and
then
we
use
we
try
to
do
some
other
with
that
we
thought
was
I'm
going
to
say
clever,
but
maybe
we
try
to
do
other
things
with
that
data
and
we
just
made
it
just
was
like
the
way
we
need
to
present
this
data
is.