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Data Visualizations for Data Analysts (In Practice (Rethinking some charts…
Data Visualizations for Data Analysts
In Practice
Rethinking some charts
Humans are designed to view data, not read it
Simplify chart design to make it cleaner
The less information the easier it is to know what you want to say
Highlight the data you want to focus on
Power of Simplification
Use empathy to suggest simplicity
Ideas are more memorable if they are short and concise
More complex/multiple ideas make it hard to understand
Rethinking Text-Based Slides
Headlines
Advantages of Visuals
Independent/Big ideas need too stand out
Tools:
Every software tool is limited
Will always be trading flexibility for speed
Scale:
You can never start a scale at any other number other than 0.
Be as fair and accurate with the scale as possible
For the most part use round numbers.
The Right Data
You need to be able tell the story with your data
Think about your data and story and think if it is really the best data to show.
Narrow it down to only the important data
Picking The Right Chart
Don't get to complicated, sometimes vanilla is better
Exploring Chart Options
Keep the audience interested
"So easy even a dog can understand it"
Simplification
Do less to be more impactful
Key is to Know What You Really Want To Say (KWYRWTS)
Experimenting with tools is good
filter out tools to find the best for your project
Sketching/Wire framing
Visualization is critical part of analysis
Let each slide/chart/graph tell a story
Sketch Ideas on paper first