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Rescooped by Nikola Pohlupkov from Measuring the Networked Nonprofit
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Visualizing Connections In Data & Analyzing Information

Visualizing Connections In Data & Analyzing Information | Social on the GO!!! | Scoop.it

For many data visualization projects, information comes from a source that has already done some aggregation. This is both a blessing and a curse. Aggregation definitely simplifies the analysis and visualization process, but it can also greatly reduce the visualization and analysis options. This is because aggregation often destroys connections in data. For this reason, it's critical to have an in-depth and thorough knowledge and understanding of the information from aggregated information. There are several different visualization techniques that open up once we have the original data, such as Euler diagrams and parallel sets.

 

The extra information that can be obtained from visualizations is important to gaining a full understanding of the data, and it can lead to a much more interesting story, as well as far better visualizations and more accurate connections and links within those visualizations.

So, when gathering data about something, remember to dig deeper into it, as there are many important connections that happen within data that can provide knowledge beyond just a simple average or total.

 

To learn more about the value of these connections, sourcing accurate data, and how it is transformed into useful graphics, read the complete article and check out the case study used to convey the main points outlined above...


Via Lauren Moss, Beth Kanter
more...
kurakura's comment, November 15, 2012 5:17 AM
the last graph on that page is really useful for understanding the data?
Rescooped by Nikola Pohlupkov from Measuring the Networked Nonprofit
Scoop.it!

Visualizing Connections In Data & Analyzing Information

Visualizing Connections In Data & Analyzing Information | Social on the GO!!! | Scoop.it

For many data visualization projects, information comes from a source that has already done some aggregation. This is both a blessing and a curse. Aggregation definitely simplifies the analysis and visualization process, but it can also greatly reduce the visualization and analysis options. This is because aggregation often destroys connections in data. For this reason, it's critical to have an in-depth and thorough knowledge and understanding of the information from aggregated information. There are several different visualization techniques that open up once we have the original data, such as Euler diagrams and parallel sets.


The extra information that can be obtained from visualizations is important to gaining a full understanding of the data, and it can lead to a much more interesting story, as well as far better visualizations and more accurate connections and links within those visualizations.

So, when gathering data about something, remember to dig deeper into it, as there are many important connections that happen within data that can provide knowledge beyond just a simple average or total.


To learn more about the value of these connections, sourcing accurate data, and how it is transformed into useful graphics, read the complete article and check out the case study used to convey the main points outlined above...


Via Lauren Moss, Beth Kanter
more...
kurakura's comment, November 15, 2012 5:17 AM
the last graph on that page is really useful for understanding the data?
Rescooped by Nikola Pohlupkov from Curation, Social Business and Beyond
Scoop.it!

Social Network Tribes Gaining Momentum - The Latest Findings [Infographic]

Social Network Tribes Gaining Momentum - The Latest Findings [Infographic] | Social on the GO!!! | Scoop.it

This piece is by Jeff Bullas and infographic by Go-Gulf.com

 

Intro:

 

There is one thing we do know and that the era of one social network that fits all is gone. The social network tribes are splintering onto different social media platforms because they now have real choice.

 

What you'll find in the infographic is demographics, monthly visitors on each network, who's on what network

 

So Who is Using What?

 

Here are a few findings on 5 major social networks:

 

Time spent by Average Social networking user per month

 

**Facebook 405 minutes

 

**Pinterest  405 minutes

 

**Twitter        89 minutes

 

**Linkedin       21 minutes

 

**Google+         Why You Shouldn't Ignore G00gle+

                               Updated information

 

There are lots of links to other articles about social networking in this piece that will give you more data on demographics

 

Selected by Jan Gordon covering "Content Curation, Social Business and Beyond"

 

Read article and see infographic here: [http://bit.ly/LUujhk]


Via janlgordon
more...
Beth Kanter's comment, July 5, 2012 6:14 PM
This post caught my eye the other too .. thanks for curating it
Rescooped by Nikola Pohlupkov from Social on the GO!!!
Scoop.it!

40 Epic Marketing Insights From Google [Data]

40 Epic Marketing Insights From Google [Data] | Social on the GO!!! | Scoop.it
Ever needed a compelling, reliable stat to help make a point, round out a blog post, or make your ebook even more data-driven?

Via Beth Kanter, Nikola Pohlupkov
more...
No comment yet.
Rescooped by Nikola Pohlupkov from Measuring the Networked Nonprofit
Scoop.it!

Visualizing Connections In Data & Analyzing Information

Visualizing Connections In Data & Analyzing Information | Social on the GO!!! | Scoop.it

For many data visualization projects, information comes from a source that has already done some aggregation. This is both a blessing and a curse. Aggregation definitely simplifies the analysis and visualization process, but it can also greatly reduce the visualization and analysis options. This is because aggregation often destroys connections in data. For this reason, it's critical to have an in-depth and thorough knowledge and understanding of the information from aggregated information. There are several different visualization techniques that open up once we have the original data, such as Euler diagrams and parallel sets.

 

The extra information that can be obtained from visualizations is important to gaining a full understanding of the data, and it can lead to a much more interesting story, as well as far better visualizations and more accurate connections and links within those visualizations.

So, when gathering data about something, remember to dig deeper into it, as there are many important connections that happen within data that can provide knowledge beyond just a simple average or total.

 

To learn more about the value of these connections, sourcing accurate data, and how it is transformed into useful graphics, read the complete article and check out the case study used to convey the main points outlined above...


Via Lauren Moss, Beth Kanter
more...
kurakura's comment, November 15, 2012 5:17 AM
the last graph on that page is really useful for understanding the data?
Rescooped by Nikola Pohlupkov from Curation, Social Business and Beyond
Scoop.it!

Social Network Tribes Gaining Momentum - The Latest Findings [Infographic]

Social Network Tribes Gaining Momentum - The Latest Findings [Infographic] | Social on the GO!!! | Scoop.it

This piece is by Jeff Bullas and infographic by Go-Gulf.com

 

Intro:

 

There is one thing we do know and that the era of one social network that fits all is gone. The social network tribes are splintering onto different social media platforms because they now have real choice.

 

What you'll find in the infographic is demographics, monthly visitors on each network, who's on what network

 

So Who is Using What?

 

Here are a few findings on 5 major social networks:

 

Time spent by Average Social networking user per month

 

**Facebook 405 minutes

 

**Pinterest  405 minutes

 

**Twitter        89 minutes

 

**Linkedin       21 minutes

 

**Google+         Why You Shouldn't Ignore G00gle+

                               Updated information

 

There are lots of links to other articles about social networking in this piece that will give you more data on demographics

 

Selected by Jan Gordon covering "Content Curation, Social Business and Beyond"

 

Read article and see infographic here: [http://bit.ly/LUujhk]


Via janlgordon
more...
Beth Kanter's comment, July 5, 2012 6:14 PM
This post caught my eye the other too .. thanks for curating it
Rescooped by Nikola Pohlupkov from Curation, Social Business and Beyond
Scoop.it!

Social Network Tribes Gaining Momentum - The Latest Findings [Infographic]

Social Network Tribes Gaining Momentum - The Latest Findings [Infographic] | Social on the GO!!! | Scoop.it

This piece is by Jeff Bullas and infographic by Go-Gulf.com

 

Intro:

 

There is one thing we do know and that the era of one social network that fits all is gone. The social network tribes are splintering onto different social media platforms because they now have real choice.

 

What you'll find in the infographic is demographics, monthly visitors on each network, who's on what network

 

So Who is Using What?

 

Here are a few findings on 5 major social networks:

 

Time spent by Average Social networking user per month

 

**Facebook 405 minutes

 

**Pinterest  405 minutes

 

**Twitter        89 minutes

 

**Linkedin       21 minutes

 

**Google+         Why You Shouldn't Ignore G00gle+

                               Updated information

 

There are lots of links to other articles about social networking in this piece that will give you more data on demographics

 

Selected by Jan Gordon covering "Content Curation, Social Business and Beyond"

 

Read article and see infographic here: [http://bit.ly/LUujhk]


Via janlgordon
more...
Beth Kanter's comment, July 5, 2012 6:14 PM
This post caught my eye the other too .. thanks for curating it
Rescooped by Nikola Pohlupkov from Measuring the Networked Nonprofit
Scoop.it!

40 Epic Marketing Insights From Google [Data]

40 Epic Marketing Insights From Google [Data] | Social on the GO!!! | Scoop.it
Ever needed a compelling, reliable stat to help make a point, round out a blog post, or make your ebook even more data-driven?

Via Beth Kanter
more...
No comment yet.