GitHub
Power Query M Language is an advanced data connection and transformation tool used in Microsoft Power BI. It enables users to connect to a variety of data sources and perform complex transformations to prepare the data for analysis and visualization.
GitHub is one such data source that can be connected to using Power Query M Language. GitHub is an online platform that hosts millions of open-source projects and provides a collaborative environment for software developers to work together.
In this article, we will explore the steps involved in using Power Query M Language code to connect to the GitHub data source from inside Power BI.
Prerequisites
Before we begin, ensure that you have the following:
– A Microsoft Power BI account
– A GitHub account
– A basic understanding of Power Query M Language
Connecting to the GitHub Data Source
1. Open Power BI and navigate to the Home tab.
2. Click on the Get Data button and select the Web option from the drop-down menu.
3. In the From Web dialog box, enter the URL of the GitHub repository you want to connect to.
4. Click OK to continue. Power Query will now load the data from the GitHub repository.
5. Once the data is loaded, you can preview it in the Power Query Editor.
Using Power Query M Language for Advanced Transformations
Power Query M Language provides users with advanced transformation capabilities that can be used to prepare data for analysis and visualization. Here are a few examples:
Removing Duplicates
To remove duplicates from the GitHub data source, follow these steps:
1. Open the Power Query Editor.
2. Select the column that contains duplicates.
3. Click on the Remove Duplicates button in the Home tab.
Splitting Columns
To split a column in the GitHub data source, follow these steps:
1. Open the Power Query Editor.
2. Select the column you want to split.
3. Click on the Split Column button in the Home tab.
4. Choose the delimiter you want to use to split the column.
Merging Queries
To merge queries in Power Query, follow these steps:
1. Open the Power Query Editor.
2. Click on the Combine Queries button in the Home tab.
3. Choose the type of join you want to use to merge the queries.
4. Select the two queries you want to merge.
Conclusion
In conclusion, Power Query M Language code is a powerful tool that can be used to connect to a variety of data sources, including GitHub. By using Power Query M Language code, users can perform advanced transformations to prepare data for analysis and visualization in Microsoft Power BI. With the steps outlined in this article, you can start connecting to the GitHub data source and using Power Query M Language for advanced transformations today.
