This
seminar is
an intensive,
hands-on
introduction
to the
principles and
practice of
data
visualization. You
will
learn to produce,
refine, and
present
effective
visualizations
generated from
datasets,
summary
tables, or the
output of
statistical
models.
By the end
of this
seminar, you
will:
Understand
the basic
principles
behind
effective data
visualization
Have
a practical
sense for why
some graphs
and figures
work well
while others
may fail to
inform or
actively
mislead
Know
to create a
wide range of
plots in R
using ggplot2
Know how
to refine
plots for
effective
presentation
Topics
covered
include
plotting
continuous and
categorical
variables,
layering
information on
graphics;
faceting
grouped data
to produce
effective
"small
multiple"
plots;
transforming
data to easily
produce visual
summaries on
the graph;
creating maps.
*Session
recordings are
available for
all attendees
for 2 weeks
after course
completion
________
Applicable
Software
What do
former
participants
have to say?
"The course
was incredibly
well balanced,
showing in
logical,
direct ways
how to build
up the
different
layers of a
plot. Also
covered
different
areas relevant
for
statisticians,
epidemiologists, general scientists, journalists, & other
disciplines."
Kristian
Lynch,
University of
South Florida
"I thought
this course
was one of the
best courses
on the topic
of data
analysis that
I have ever
taken. It was
so well
thought out
and carefully
constructed to
unpackage the
logical steps
towards using
R for data
viz."
