Beth's Blog: How Nonprofits Can Use Social Media

JUNE 1, 2012

He has some terrific advice about how to apply visual thinking to your data visualization and to get insights. But first, he simplifies what visual thinking is: Look, See, Imagine, and Show. These are a great set of questions to ask as you look over your data. The steps are: Collect your data. Map the data.

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NTEN

MAY 12, 2011

By Kurt Voelker, CTO, Forum One Data is the new black. These days everyone is releasing it, visualizing it, aggregating it, and mashing it up. Data is so much more than a stack of numbers or a server filled with client outputs. The truth can become obvious when you reveal the change in data in a visual way.

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Data New York City Storytelling New York 100

Beth's Blog: How Nonprofits Can Use Social Media

NOVEMBER 12, 2015

It does close-ended questions and displays a bar chart or can also create a word cloud. You have to ask, how is polling the audience and seeing the aggregate results helping people learn? Here how collecting data and displaying aggregate might enhance learning: (Add in the comments if you think I missed anything).

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Forum One

FEBRUARY 21, 2011

Data is the new black. These days everyone is releasing it, visualizing it, aggregating it, and mashing it up. Data is so much more than a stack of numbers or a server filled with client outputs. Here are 6 ways to tell your stories with data that you can apply to your own web and communications work: 1. Focus the Story.

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Data New York City Storytelling New York 68

Forum One

FEBRUARY 21, 2011

Data is the new black. These days everyone is releasing it, visualizing it, aggregating it, and mashing it up. Data is so much more than a stack of numbers or a server filled with client outputs. Here are 6 ways to tell your stories with data that you can apply to your own web and communications work: 1. Focus the Story.

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Data Story New York City New York 67

Beth's Blog: How Nonprofits Can Use Social Media

OCTOBER 26, 2007

I still feel like I haven't totally wrapped my brain around all this. What data matters most? You talk about aggregating content, but what about comments/conversation on the blog? I like how you are weaving together both number data and qualitative data and how you plan to collect stories. You're almost there.

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