1. simple data
visualizations
Tech Day 2015

2. why bother?
 long history of using pictures to show
significance of numbers
 increasingly “visual” society
 visual data can be interpreted and
consumed quickly
 using open-source, social tools, data can
be shared easily

3. in the classroom …
 particularly useful for classes where
students do not have “data” backgrounds
 encourages exploration of
different data visuals (from bar charts to
tree maps to “live” visualizations)

4. 3 (really only 2)
primary examples
many eyes (IBM Watson)
datawrapper
tableau public

5. many eyes
 PROS:
 easy to use
 easy to distribute
 social, web-based
visualization
 can “show” evidence
by including data’s
URL
 CONS:
 transitioning to IBM
Watson Analytics

6. datawrapper
 PROS:
 easy to use
 fast results
 URL to share or embed
 “transpose data”
option
 CONS:
 only five chart
types
 free to try, but paid
for real use
(inexpensive)

7. tableau public
 PROS:
 more sophisticated
visualization
 more ways to
customize project
 can embed or share
 example datasets
(resources) & Sarah
Ryley
 CONS:
 can be more time
consuming to use
(depends on the
data set)
 though free, need
to download
software

8. others: infogr.am
 PROS:
 can embed in blogs
 can download and
share privately
 CON:
 restricted free
version; however
educational pricing
available

9. others: raw
 PROS:
 web app/open
source
 no registration
 lots of customization
 teaches a higher
level of
understanding
among data
elements
 CON:
 designed for
embedding into
websites

10. others: timeline
 PROS:
 open source
 linked to media
sources (YouTube,
Flickr, etc.) for easy
inclusion
 site tutorials/step-by-
step guides
 CON:
 designed for
embedding into
websites