Power BI: Analyzing Warehouse and Retail Sales Data with Power BI


In this informative and practical YouTube video, viewers are guided through the process of using Power BI to analyze warehouse and retail sales data that is available online. The video begins by providing a link to the data and instructs viewers to download and save it to a directory on their computer. The video then proceeds to demonstrate how to import the data into Power BI using the "get data" feature, and viewers are guided through the process of selecting the format of the downloaded data and opening the file. Once the data is loaded into Power BI, viewers are shown how to navigate to the data view and convert the year and month columns into a proper date format using the DAX function. Moving on to the report view, the video shows viewers how to create a dashboard by inserting a text box and adding several charts, including pie charts and line charts, that display retail and warehouse sales data by date, supplier, and item type. Throughout the video, viewers are given clear and concise instructions on how to customize the charts and rename fields to create a visually appealing and informative dashboard. The video concludes by thanking viewers for watching and encourages them to like and subscribe for more tutorials and updates. Overall, this YouTube video provides a comprehensive and step-by-step guide for using Power BI to analyze warehouse and retail sales data, and viewers are sure to come away with a better understanding of how to use this powerful tool. https://virtual-school.org/tutorial?v=laJ49K1BRWg Here is the link to xlsx file, you can save it as csv. Zip file also includes the power bi file. https://drive.google.com/file/d/1KVeDUOJTgxQlUYlLU5tMyuHHl1NtEdad/view?usp=sharing #PowerBI #DataAnalysis #DataVisualization #RetailSales #WarehouseSales #BusinessIntelligence #Dashboard #Tutorial #PieCharts #LineCharts #BarCharts #DataManagement #DAX #SupplierAnalysis #ItemAnalysis #BusinessAnalytics #LikeAndSubscribe


PowerBI, Data Analysis, Data Visualization, Retail Sales, Warehouse Sales, Business Intelligence, Dashboard, Tutorial, Pie Charts, Line Charts, Bar Charts, Data Management, DAX, Supplier Analysis, Item Analysis, Business Analytics, Like and Subscribe.
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