5 Common Data Visualization Mistakes (and how to avoid making them)
-
Upload
brian-bamberger -
Category
Data & Analytics
-
view
89 -
download
0
Transcript of 5 Common Data Visualization Mistakes (and how to avoid making them)
![Page 1: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/1.jpg)
5 Common Data
Visualization Mistakes(and how to avoid making them)
![Page 2: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/2.jpg)
Wrong Chart Type
Dataviz Mistake #1
![Page 3: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/3.jpg)
This chart
falsely implies
that 1/3 of all
preterm births
are to Non-
Hispanic Black
mothers.
![Page 4: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/4.jpg)
A bar chart
more
accurately
portrays the
relationship of
preterm births
to race.
![Page 5: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/5.jpg)
Too Complicated
Dataviz Mistake #2
![Page 6: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/6.jpg)
This chart
displays
information
culled from a
141 page report.
Its complexity
hampers
communication.
![Page 7: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/7.jpg)
The point of the
infographic is that
BrandZ can provide
insight on the world
marketplace. This
small portion of the
visualization
accomplishes the
same goal.
![Page 8: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/8.jpg)
Skewed Correlation
Dataviz Mistake #3
![Page 9: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/9.jpg)
The circles’ sizes
exaggerate the
number of deaths
per disease in
relation to
money raised.
![Page 10: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/10.jpg)
While not as
dramatic, this
visualization
correctly
correlates money
donated with
deaths per
disease.
![Page 11: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/11.jpg)
Omitting Key Information
Dataviz Mistake #4
![Page 12: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/12.jpg)
Without
context it’s
impossible to
determine the
significance of
the U.S.’s
increase in oil
production.
russiaSaudiiraqChina United
arab
brazil
![Page 13: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/13.jpg)
Providing data
enables viewers
to see the extent
of the U.S.’s
increase in oil
production
compared to
other countries.
![Page 14: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/14.jpg)
Bucking Conventions
Dataviz Mistake #5
![Page 15: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/15.jpg)
The inversion
of this chart’s
y axis makes
it seem that
gun deaths
decreased
after 2005.
![Page 16: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/16.jpg)
Flipping the
chart makes it
much more
clear that gun
deaths actually
increased after
2005.
![Page 17: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/17.jpg)
Five dataviz mistakes to avoid:
Wrong Chart
Type
Too
Complicated
Skewed
Correlation
Omitting Key
Information
Bucking
Conventions
Summary
![Page 18: 5 Common Data Visualization Mistakes (and how to avoid making them)](https://reader031.fdocuments.us/reader031/viewer/2022030306/58ce854b1a28ab210a8b673d/html5/thumbnails/18.jpg)
Want More?
We help businesses that sell products and
services to pharmaceutical companies.
PharmaAcumen