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Repeat the previous step for the ActualDays column. Select the ProjectedDays column, click or tap Data Type: Any, then Whole Number. The table should match the following image:Ĭhange the data type on Project Details columns Repeat the process you just went through, now for Project Requests: remove FileSystemObjectType, ServerRedirectedEmbedURL, ContentTypeId, and all columns to the right of the Approved column (a total of 22 columns). The table should match the following image:
![easy power project easy power project](https://encgrp.s3.amazonaws.com/wp-content/uploads/2019/01/24212931/pipe-PSS93CL-scaled.jpg)
Remove all columns to the right of the PMAssigned column (a total of 22 columns). Use the Shift key to select both columns, then click or tap Remove Columns. Remove the two columns after the Id column: ServerRedirectedEmbedURL and ContentTypeId. In the middle pane, select the FileSystemObjectType column, then click or tap Remove Columns. In the left navigation pane, click or tap Project Details. Remove unnecessary columns from the tables The lists are now displayed as tables in Query Editor. Select Project Details and Project Requests, then click or tap Edit. If you get the following dialog box, make sure you're signed in with the right credentials, then click or tap Connect. In the Get Data dialog box, click or tap SharePoint Online List, then Connect.Įnter the URL for your SharePoint site, then click or tap OK. In Power BI Desktop, on the Home tab, click or tap Get Data, then More… For more information on getting and cleaning data in Power BI Desktop, see the Getting Data section in our Guided Learning course. We'll also change the data types on some of the remaining columns so that calculations work properly. Then we'll clean up the data by removing columns we don't need for our data analysis. In this step, we'll first connect to the two lists. The Query Settings window, which lists the query's properties and data transform steps that have been applied.The center pane, where data from the selected query is displayed and available for shaping.The left pane, where queries are listed and available for selection, viewing, and shaping.The ribbon, which has many options for shaping and transforming the data that you bring in.In Query Editor, you build queries and transform data, then load that refined data model into Power BI Desktop. We don't use the Relationships view in this task, but you can check it out later after we bring the list data into Power BI Desktop. The Fields pane, where you control how fields are displayed in your reports.
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The center pane, which shows data for the selected table.On this tab, you create calculated tables and columns, and make other changes to the data model. The ribbon, which has the Modeling tab selected below.The Fields pane, where query elements and filters can be dragged onto the Report view, or dragged to the Filters area of the Visualizations pane.The Visualizations pane, where you change visualizations, customize colors or axes, apply filters, drag fields, and more.The Pages tab area along the bottom, which lets you select or add a report page.The Report view, or canvas, where visualizations are created and arranged.The ribbon, which displays common tasks associated with reports and visualizations.Change views by selecting any of those three icons. The yellow bar along the left indicates the current view in this case, Report view is displayed. The following screen shows the three view icons along the left of Power BI Desktop: Report, Data, and Relationships, from top to bottom. Power BI Desktop also includes Query Editor, which opens in a separate window. There are three main work areas or views in Power BI Desktop: Report view, Data view, and Relationships view. This is a powerful tool, with a lot of features, so we will focus on an overview of the areas that you will use in this task. Quick review of Power BI Desktopīefore we dive into report creation, let's review Power BI Desktop. We'll bring the list data into Power BI Desktop and clean it up a little, do some basic data modeling, and create a set of visuals that tell us something about the data. In this task, we'll create a Power BI report based on the two SharePoint lists.
#Easy power project series#
Make sure you read the series introduction to get a sense of the big picture, as well as related downloads. This article is part of a tutorial series on using Power Apps, Power Automate, and Power BI with SharePoint Online.