Often we get data which is distributed in multiple column sets. Here is how you can convert it to good tabular data using Power Query. Watch the video. Sample File download.
Here is an animated globe showing the new year dawning across time zones. Created using Power Map. You can also create it using Excel 2013 onwards. In the next article, I will illustrate how it was done. Enjoy.
In the earlier article, we saw how Power BI Desktop can help us create complex, interactive and useful reports from various sources of data.
Here is a detailed walk-through of how exactly to use this tool. In this video we will use the simplest possible scenario: Start with a simple CSV file, create a report, publish it on Power BI site and share it with a colleague. We will also see the Power BI mobile app in action.
Download this sample CSV file (ZIP) if you want to follow along. 12 min video. Watch it in full screen mode at highest resolution.
Photo credit: kevin dooley via Foter.com / CC BY
We have seen many methods of using Excel and related Power BI tools for analyzing data. Now, all that can be done WITHOUT using Excel – using a stand-alone tool called Power BI Desktop. Here is how you do it.
SUM and COUNT are the most common methods of summarizing data. It is easily done in Pivot Table or any other analytical tool. What is equally important is DISTINCT COUNT. But it is not commonly used. Why not? Firstly, due to lack of awareness and secondly, due to lack of that feature in Pivot Table. Let us solve both problems in the next 10 minutes.
Office 365 plans which include Office Pro Plus are capable of running Power Pivot, Power Query, Power View and Power Map. Extremely powerful tools. Highly popular with users and top management. Unfortunately, in many cases, these tools are just not deployed!
Download the Presentation (3 MB). I have added lots of links to related articles and external references including books written by stalwarts in Excel analytics field.
Power Query is an amazing tool for importing and cleaning up data from various sources. The problem was that it required you to have professional version of Office. Now that problem is solved…
Two simple approaches. One is to add an extra column with serial numbers and then sort on that column in descending order. This works for small amount of data. For large data it is best to import it in Power Query and choose Transform tab – Reverse Rows.
Benefit of Power Query? It works on a smaller sample of data and then applies the transformation when you choose Save and Load option. This is much faster than getting all the data and then trying to sort it (which is the first method).
Why is this required? Usually required with logs where the first transactions or rows are at the bottom. So the data is received in reverse chronological order. Twitter feeds, Timeline Updates, Live blogs – all follow this pattern.
This method works independent of the time-stamp column. What is wrong with timestamp? It may be in different time formats, some rows may have same timestamp and some rows may have no timestamp at all.