Simple CSV to Interactive Dashboard – Power BI Desktop walk-through

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

Instant benefit: Try Distinct Count wherever you are using Count

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.

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Data Analytics Webinar – Presentation Download with reference links

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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.

Presentation was used for delivering the webinar. You can download the webinar video from here. Or view it on YouTube using this link.

Reversing row order in Excel data

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.

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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.