Category: PowerBI desktop

Show sales only for corresponding months in prior years

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Refer to this simple Sales dataset

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The objective is to create a simple matrix with months in the row labels, years in the column labels and sales figures in the value area section.  The twist in the question is that for years prior to the current year (2018 in this dataset), sales should only appear till the month for which there is data for the current year.  For e.g., for 2018, data is only till Month 4 and therefore for prior years as well, data should only appear till Month 4.  As and when Sales data gets added below row 17, data for prior years should also go up to that month.

The expected result is

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You may download my PBI file from here. The same solution can be obtained in Excel as well (using Power Query and PowerPivot).

Filtering on 2 date fields within one Table

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This table contains a list of all the inspections created and completed within different time periods.

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The objective is to create two Tables from this single table - one showing the Accounts created within the chosen time period and another showing the those that were closed within the same time period.  Here are screenshots of the expected results.

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You may download my PowerBI desktop solution workbook from here.  The same solution can be obtained in Excel as well (using Power Query and PowerPivot).

Discover insights with the “Sand Dance” visual, query your dataset with Natural Language Queries and Cortana integration

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This post is in continuation of an earlier post where I applied Excel's Business Intelligence tools (PowerPivot, Power Query and PowerView) to analyse the Sales data of an E-Commerce Company.  So, just for starters, in that post, I have basically sliced and diced the Sales dataset of an E-Commerce Company from multiple perspectives/facets to know the performance of this Company by Categories, Products, SKU's, Shipping Cities, Modes of payment etc.

After analysing the data, I have also visualised that data using PowerView.  From the link shared above, you may download the workbook, watch the YouTube video and see a PowerBI desktop custom visual ("Sankey Diagram"). In this post, I have taken the same dataset and showcased/discussed the following:

1. How one can discover insights from this data with minimal effort using a Custom PowerBI desktop visual called "Sand Dance"; and
2. How one can query the dataset using "Natural Language" on a web browser (using www.powerbi.com); and
3. How one can query the dataset using "Natural Language" using Cortana (Microsoft's personal digital assistant in Windows 10).

For aspects 2 and 3 above, here are a few "Natural Language queries" which returned the correct result:

1. Show total revenue and growth in total revenue over previous month where order status is delivered by month in ascending order of month order as a Table
2. Show total revenue by category as a column chart
3. Show total revenue by order period as a pie chart in descending order of total revenue
4. Show total revenue by order period as a pie chart in descending order of total revenue where day of week is Sunday
5. Show Business generated from new categories by month where order period is mid day, payment type is COD sorted by month order in ascending order as a table
6. Show total revenue where portion of month is first half of month

Enough talking!!.  You may view all three aspects mentioned above in this YouTube video

You may download the Powerbi desktop workbook from here and play around with the Sand Dance visual yourself. The PowerBI.com service also allows one to Publish reports to the Web (which can be viewed and interacted with by anyone).  This is currently in preview stage and may become a payable service later.  You may view and interact with the Sand Dance visual here:

Visualising data flows using Custom Visuals

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Assume a 4 column dataset (a small sample) as follows:

City of Origin City of destination Mode of Transport Passengers travelled
New Delhi Pune Air 123
New Delhi Mumbai Air 213
New Delhi Kolkata Air 125
Chandigarh Jammu Bus 785
Chandigarh Amritsar Train 567

Given this dataset, one may want answers to the following questions:

1. Of all those passengers who originated their journey (City of Origin) from Chandigarh, how many terminated their journey (City of destination) in New Delhi via different modes of transport; and
2. Of all those passengers who terminated their journey (City of destination) in Jammu, how many arrived in Amritsar (City of Origin) via different modes of transport; and
3. Of all those passengers who travelled by Bus, how many travelled from City A (City of Origin) to City X,Y,Z (City of destination)

While one can analyse/slice and dice this data using Pivot Tables, one cannot visualize this data very clearly (even after creating a Pivot chart).  I have attempted to visualize this data using a software called PowerBI desktop (a free for download and use Business Intelligence software from Microsoft which rolls all of Excel's BI tools into 1 - PowerPivot, Power Query, Power Map and Power View).

You may download the source Excel workbook and the Power BI desktop workbook from this link.

You may also watch a short video here: