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Running Start/AD450 - Data Science Development/Discussion - Exploring the World of Data Visualization.md
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#rs/class/ad450 #rs/discussion #rs/class/ad450 #rs/discussion
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https://medium.com/@martynas-mjdc/make-the-user-to-look-where-you-want-them-to-look-the-guide-on-guiding-attention-03137989e215 Here is the article that I chose: [*Make the user to look where you want them to look: the guide on guiding attention*](https://medium.com/@martynas-mjdc/make-the-user-to-look-where-you-want-them-to-look-the-guide-on-guiding-attention-03137989e215)
## Summary ## Summary
This article discusses techniques that can be used to draw the attention of users to certain data and parts of visualizations. It focuses especially on the design of dashboards and how to guide a user through them in the intended way to read the data presented. Some key points include: This article discusses techniques that can be used to draw the attention of users to certain data and parts of visualizations. It focuses especially on the design of dashboards and how to guide a user through them in the intended way to read the data presented. Some key points include:
- The sequence used for reading a dashboard is overview first, then zoom and filter and finally details when needed - The sequence used for reading a dashboard is overview first, then zoom and filter and finally details when needed
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The data visualization techniques are relatively general ideas but when used properly they can be very powerful. When a user is viewing a dashboard or data it is very important that they are able to get the important information and view it in the most helpful way. Helping the user to focus on important information can streamline the decision-making process and reduce data overload. The data visualization techniques are relatively general ideas but when used properly they can be very powerful. When a user is viewing a dashboard or data it is very important that they are able to get the important information and view it in the most helpful way. Helping the user to focus on important information can streamline the decision-making process and reduce data overload.
I haven't dome much with designing dashboards but I think that this information can be helpful for more common data visualization as well. One thing that I will try to focus on more in the future is the use of color in my graphs. I usually just let the plotting library handle the colors and while it is usually able to get distinct colors it doesn't do anything to draw attention. Thinking about important parts of the graph and drawing attention with color could be very helpful in some scenarios.