2. What is
Visually?An ecosystem for
creating, sharing, and
exploring data
visualizations.
create.visual.ly
marketplace.visual.ly
visual.ly
blog.visual.ly
visual.ly
3. Data
Visualizations
Need Audience
Audiences need motivation
to consume.
The main
website
provides a
curated source
of “cool stuff”
for people to
browse. This
gives people a
good source of
content to
share on their
social
networks, or
just
entertainment
when they are
bored at work.
4. Start With Story
Stories make data
consumable.
The data that
goes into
stories is
often dull.
Good
visualization
doesn’t just
show the data,
it shows a
story that’s in
the data.
5. Crafting Stories
How do you build
compelling stories?
Know the audience.
Identify the possible stories.
Balance both of them with data.
10. Distribution is
ImportantDistribution has an impact
on audience.
Delivering
something to
someone’s inbox
weekly is a
dangerous
game. It has to
be something
that doesn’t
annoy, and
something that
provides real
value.
Repetitive info
will be
obnoxious or
ignored.
13. Searching for a
StoryA Venn diagram of shark
threats.
Shark
Tornado
Sharknado
Octopus
Sharktopus
OctornadoSharnadoctopus
But that
quickly got out
of hand:
Dinoshark
Mega Shark
Two Headed
Shark
...
Only stats that are likely to change in the timescale of a week were included. We concentrated on percent change instead of base numbers. Color shows overall performance.
Didn’t start with a dataset in mind, started with a general topic. Found the story, then found the appropriate dataset. Entire graphic came together in less than a week, from ideation to creation.
Didn’t start with a dataset in mind, started with a general topic. Found the story, then found the appropriate dataset. Entire graphic came together in less than a week, from ideation to creation.