The
Swiss artist Felice Varini is a master of using point of view. If
you view his work from the wrong spot it seems to just be a random
collection of lines and colors, but if you are looking from the
correct location it all comes together to form a stunning design.
Below is one of his pieces titled ‘Huit carrés’.
If
we didn't know what to look for when viewing ‘Huit carrés’ would
we take the time to find out the correct spot to view it from? Or
would we think that we see the whole picture when we see the room
like in the left images above and then move on?
This
is similar to the way we often look at our data. When we take quick
“high level” glaces over our data, with overall averages, general
trends, or simple charts, we may be missing the true picture it is
painting. Often times, when the quick glances at our data show
something interesting, that should be a tip off that there may be
even more interesting trends to be found in our data. We just need
to know where to look for them.
For
example if we look at the overall counts for the violence data from
the school district we see these numbers:
High
School: 72
Middle
School: 74
Intermediate
School: 69
Elementary: 117
Male: 225
Female: 107
The
picture that we see from this analysis is that males engage in more
acts of violence, and there are about twice as many acts in
Elementary schools and then similar numbers through the rest of the
school levels.
But
what if we take one more step into this analysis to get a different
point of view? Lets look at gender and school level at the same
time:
School Violence
|
Male
|
Female
|
High
School
|
23
|
49
|
Middle
School
|
50
|
24
|
Int.
School
|
55
|
14
|
Elementary
|
97
|
20
|
Ah
ha! We have learned something new here, notice that males commit
more than twice the amount of acts of violence in all school levels
except for High School, where females committed about twice the
amount. Now we know something else about our data. It seems that
there may be different times when violence issues occur with each
gender -there are specific times when males and females need to be
focused upon. We never could have seen this with just our first
glance through the data.
We
need to remember to take a couple of steps around when looking at our
data to make sure that we have the correct point of view, because
there are times when viewing it from an side angle does not give the
same picture as viewing it straight on.