Author: Talal Nehme

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Power BI Line Chart with interactive log & linear scales

As an end-user of a Power BI report, a chart that looked great at first might look not so great once you start applying filters or using slicers. Very large values in the data might throw off the scales and now your line chart might be suddenly all squeezed at the top or the bottom. Does any of the above sound familiar?

EDIT: There is a newer version of this custom visual chart, which is now called CHARTURO and is published to the Power BI AppSource Marketplace, you can read about it here and get it from the Marketplace here

Usually it’s the report designer who has all the power, this article is about giving more power to Power BI end users…

End users’ ability to change the scale, appearance or formatting of that chart is limited. That’s why I started creating the Mi4 Line Chart Power BI custom visual that lets you switch scales on the fly, and eventually have more overall control of the visual without having to edit the report.

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TX RRC OData Feed – Intro

In this series of articles we will take the RRC data from the SQL database and serve it via an OData REST API and show how we did it.

The series will consist of 3 parts:

  • Part 1: Creating the OData REST API in Visual Studio using Entity Framework Core and C#
  • Part 2: Setup Continuous Integration and Delivery for automated build and release pipelines to publish to Azure using Azure DevOps
  • Part 3: Offering the API to the public via a secured Azure API Management gateway and developer portal

Sounds like a lot…I know, so if you want to fast forward to the end and start testing the API and the data just continue reading…you should be up and running in under 5 minutes.

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Visualizing the RRC Data in the Cloud

Part 1: Well Locations

Last week I wrote a blog post talking about the TX RRC publishing data to the public that previously was only available via a paid subscription.

After downloading the different data sets and examining the various types of data and formats, I decided to take a closer look at the data that might prove to be useful to us and to our Productioneer clients.

It is not uncommon for location and depth data, as well as other well-header and meta data to be incomplete or non-existent during a software migration, after all this data might not be considered crucial for the daily gauge sheets. Especially in the case of Excel gauge sheets, where additional columns are a waste of “prime real estate” and might be considered as cluttering that particular production report.

It would be nice if we have a quick way to pull the Lat Long data in bulk to speed up the on-boarding process.

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Cutting month-end closing times in half

The accounting team at TPIC was spending too much time doing manual and repetitive tasks to close out the month and generate regular reporting packets for management. Having worked with us in the past, they asked us to streamline the process.

We promised them we’d make the process as fast and as simple as possible, joking that it would be as easy as pressing a button, and now it is!

A process that used to take days now only takes a few minutes, and all the manual labor has been reduced to a single button press, literally.

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