EXERCISE 2: Importance of visualizations Principles of communicating data, Principles of encoding data to make visualizations, Importance of color in visualizations
EXERCISE 2: Importance of visualizations
Principles of communicating data, Principles of encoding data to make visualizations,
Importance of color in visualizations
Similar to EXERCISE 2: Importance of visualizations Principles of communicating data, Principles of encoding data to make visualizations, Importance of color in visualizations (20)
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EXERCISE 2: Importance of visualizations Principles of communicating data, Principles of encoding data to make visualizations, Importance of color in visualizations
2. PRINCIPLES OF COMMUNICATING DATA AND
VISUALIZATIONS
Encoding Data and the Importance of Color
Title: Overview
•Purpose: Understanding data communication through visualizations
•Topics: Principles of data communication, encoding data, importance of color
3. PRINCIPLES OF COMMUNICATING DATA
Title: Key Principles
•Clarity: Ensure that the message is clear and easily understandable
•Accuracy: Represent data truthfully without distortion
•Relevance: Focus on information that supports the main message
•Consistency: Use consistent formatting and styles
•Simplicity: Avoid clutter and complex designs
4. TIPS FOR CREATING EFFECTIVE DATA
VISUALIZATIONS:
1.Data visualizations should have a clear purpose and audience.
2.Choose the right type of viz or chart for your data.
3.Use text and labels to clarify, not clutter.
4.Use color to highlight important information or to differentiate or
compare.
5.Avoid misleading visualizations.
6.Keep your visualizations simple. Less is more.
8. CHOOSE THE RIGHT TYPE OF VIZ OR
CHART FOR YOUR DATA.
A bar chart allows the reader to more quickly and accurately compare each category, focusing on
comparison over knowing exact amounts.
10. USE TEXT AND LABELS TO CLARIFY, NOT
CLUTTER.
Removing the labels for each state declutters the map and causes the reader to focus first on the states with greatest
and least sales. Because state shapes are commonly recognizable, labeling each isn’t the priority and could distract
from the data.
11. USE COLOR TO HIGHLIGHT IMPORTANT
INFORMATION OR TO DIFFERENTIATE OR COMPARE.
12. USE COLOR TO HIGHLIGHT IMPORTANT
INFORMATION OR TO DIFFERENTIATE OR COMPARE.
14. AVOID MISLEADING VISUALIZATIONS.
The first visualization gives a false impression that shipping times have dropped drastically,
but it only appears this way because the axis does not start at 0 and the graph is stretched
vertically to make the decline look more dramatic. Once adjusted, you see that average
shipping times have only improved minimally in the past 4 years.
16. KEEP YOUR VISUALIZATIONS SIMPLE. LESS IS
MORE.
Notice how cluttered and difficult to read the visualization on the left is. The reader is
tempted to jump back and forth between both axes and the data to read it, and the bar
graph does not quickly convey that the point is to compare sales over time for two
different categories. The line graph on the right quickly communicates the purpose of the
visualization and makes it simpler to compare sales over time and for each month.
17. KEEP YOUR VISUALIZATIONS SIMPLE. LESS IS
MORE.
Key Points to note:
Form always follows function when it comes to choosing the right chart.
Label for clarity, not as a rule.
Keep the title simple and clear.
Don’t use a legend unless you have to
19. KEEP YOUR VISUALIZATIONS SIMPLE. LESS IS
MORE.
Key Points to note:
All text and labels should be legible.
Ask a colleague for their outside perspective.
Color can make your point more apparent.
Use colors to contrast different data sets.
Use colors to show outliers or anomalies.
21. KEEP YOUR VISUALIZATIONS SIMPLE. LESS IS
MORE.
Key Points to note:
Always start with 0 on your axes.
Never change the aspect ratio of your visualization.
Link to understand aspect ratio:
https://petapixel.com/what-is-an-aspect-ratio/
Too much information can confuse.
Only group elements that actually relate to each other.
Don’t use colors that mislead.