Think of your dataviz in three categories:
1. Professional comms with non-OR readers
2. Intra-OR comms
3. Just for fun
In professional comms with non-OR readers:
1a. Dimensions
i. For Top management, Finance, & Accounting: 1 dimension
ii. For Supply Chain, Manufacturing, Logistics: 2 dimensions
iii. For analytics-aware audiences: 3 dimensions in column-and-line charts or bubble charts
1b. People get confused by:
i. Sort orders
ii. Cumulative axes
iii. Log scales
1c. Thumb-rules:
i. The "3D = column-and-line charts or bubble charts" rule is a cognitive boundary
ii. Don't use pie charts
FYI, once in my dataviz life I loaded 5 dimensions in one graph. It was for the geniuses in Dow R&D. A bubble chart naturally shows 3 dimensions (x, y, and bubble-radius). I used a color scale for the 4th, and labels for the 5th.
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Rahul Saxena
FrogData.com
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Original Message:
Sent: 10-27-2023 17:41
From: Shayan Farshid
Subject: Visualizing Insights: Seeking Recommendations 📊
Greetings, Informs community!
As I venture into the realm of data visualization, I'm curious about your approaches to selecting the most effective visualization methods for different types of data. Whether it's wrangling time series, working with categorical data, or navigating geospatial information, I'd greatly appreciate your insights and recommendations.
Looking forward to hearing your thoughts!
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Shayan Farshid
UC Davis
San Francisco CA
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