MAPPED: Great visual where the S&P500 companies are headquarters using @mspowermap #vis

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I used PowerQuery to pull a list of the S&P 500 companies and mapped them using PowerMaps in Excel.  You can see a vast majority of companies are HQ’d in New York.  The color codes are by Industry Sector.

Northeast

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Midwest

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South

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Southwest

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Pacific Northwest

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Even a few in Europe

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If you want a copy of the file, just direct message me and I would be happy to email you the file.

Enjoy, Patrick

Mapping UFO Sightings in the Western United States with Microsoft Power Map and Excel.

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Well, it’s Friday again and it is always fun to take different datasets and see what we can do with them.  This time I found a database of UFO sightings from the National UFO Reporting Center (www.ufocenter.com). 

I used Microsoft Excel 2013 and the Power Query add-in to pull in data from the UFO database.  I selected the western states because I didn’t want to spend all the time setting up the queries even though it is just a cut and paste of a URL.

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Once the data was imported, I could quickly insert a Power Map via Excel.  Since I’m dealing with UFO’s, I thought it would be best to create a dark theme.

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Let’s remove the Excel shell so we can just look at the map at night.

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Let’s drill down a little more into the Seattle area where I live.  I live in a city called Sammamish and sure enough, someone right near me reported seeing a UFO!

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Let’s pull back and show a heatmap with the density’s of reports.  That reflects where the concentrations are.

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I’m going to have to pull all the data and map the rest of the United States later.  This was pretty insightful.

Enjoy, Patrick

PS:  Email me any questions you may have.

Using Microsoft Azure Sentiment on #SpaceX with Excel PowerQuery and @PlusOneSocial

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Measuring and analyzing sentiment for social media can be tough.  Oh sure, you can pay several thousand dollars a month for one of the big social services providers, but who has that budget?  Well, using Microsoft Excel 2013 Power Query and  The Azure Marketplace function for sentiment, I was able to apply big budget machine learning algorithms for nearly NOTHING!  Smile   How did I do it, just follow along.

First, I used PlusOneSocial to pull my topical tweet data.  You can use it FREE for under 10,000 tweets.  Just type in your keywords and you’re off and running.

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I used Microsoft Excel 2013 with Power Query installed to pull data from the PlusOneSocial database.  I then used the Azure Marketplace and added the Bing Machine Learning Sentiment function.

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Within Power Query, I edited the query and included a custom column to call the Sentiment Score function.

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Then I just plotted my results!  1 is Positive, 0 is Neutral and –1 is Negative

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So for less than your Starbucks coffee habit for the month, I have a full blown Social Media Analyze platform on my desktop without some annoying sales person calling me, fixed length contracts and spending thousands a dollars a month.  And, with Microsoft Power BI, I’m not limited to what someone else thinks I should see.

Enjoy, Patrick

PS: Contact me if you have questions.