This is pretty cool, worth downloading if you use Excel a lot. The Gauge app creates gauge (or speedometer) visualizations in your Excel workbook. Use it to quickly get an understanding of your data and if it’s “in the red”.
- Stunning and customizable Gauge charts
- Fast and fluid performance
Download Gauge from Microsoft
The jobs report came out very positive the other week saying over 230 jobs added in January. But I don’t think part-time jobs should count… Gallup CEO, Jim Clifton came out and discounted the results right away. Basically calling the jobs number very misleading. Good for him.
My previous company did a lot of analytics for Gallup and I trust my numbers than the government….
Looks like Marketwatch is using Microsoft Excel!
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.
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.
Let’s remove the Excel shell so we can just look at the map at night.
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!
Let’s pull back and show a heatmap with the density’s of reports. That reflects where the concentrations are.
I’m going to have to pull all the data and map the rest of the United States later. This was pretty insightful.
PS: Email me any questions you may have.
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! 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.
Within Power Query, I edited the query and included a custom column to call the Sentiment Score function.
Then I just plotted my results! 1 is Positive, 0 is Neutral and –1 is Negative
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.
PS: Contact me if you have questions.
I’m a big Microsoft fan and it pains me to see the news today about all the layoffs. I’m not going to go into the reasons why they should do this or not, that will be done to the Nth degree by tech news sites.
Rather, I would like to show what people are saying via Twitter using some simple social media insights! I fired up PlusOneSocial and quickly pulled over 13,500+ tweets using the keyword “Microsoft Layoffs” this morning.
Then quickly I used Excel 2013 to pull a lot of original tweets on this subject. People are just begining the retweet what they are reading on the news.
What does the sentiment look like for the Microsoft Layoffs? Overall, the messaging is pretty neutral. 17% Positive and 12% Negative on the news.
Then I searched on “$MSFT” which is a common keyword for talking about stocks. I thought it would be interesting to see how the traders are talking about Microsoft in regards to the news and it seems to match the discussion as a whole. That is very interesting.
I love the fact that I can quickly get a heartbeat on any topic via social.