Power BI - Preparing, cleaning and transforming your Data Video
In this video, you will learn about the intelligent search feature in Microsoft 365. The video covers the search tools in Microsoft 365, including searching on your computer, using Microsoft Search, finding content and people, searching your emails, and more.
This will help you save time and easily find all your information in the Microsoft 365 suite.
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Power BI - Recovering your Data from different sources
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Power BI - Introduction to the Query Editor
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Power BI - Creating your Datasets
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Power BI - Customising your Report
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Power BI - Customising your Visuals
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Power BI - Creating a Report
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Power BI - Introduction to Power BI Building Blocks
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Power BI - Introduction to Power BI Desktop
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Creating a Report
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Introduction to Power Bi
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General Introduction
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Create dynamic visual title using the Selected Value function
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Recovering your Data from different sources
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Introduction to Power BI Desktop
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Introduction to Power BI Building Blocks
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Create slicers
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Create quick measures
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Creating and configuring a Dashboard
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Introduction to Power BI Mobile
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Publishing your Report through the Power BI Service
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Introduction to the Query Editor
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Creating your Datasets
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Customising your Visuals
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Conditional formatting
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Use the drill down filter
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Manipulating tiles in a Dashboard
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Consulting and using a Dashboard
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Calculate function
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Turn on the drill down feature
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Sharing and publishing your Dashboard
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Manage interactions
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Customising your Report
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Manage relations between data sources
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Add an alert to a visual
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What are measures?
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Creating a Report
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Create a PivotTable report manually
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Sort, filter, summarize and calculate your PivoteTable data
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Recovering your Data from different sources
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How to track and monitor values with the Watch Window
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Create a PivotTable and analyze your data
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Analyze your network and communication habits
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Creating and configuring a Dashboard
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Publishing your Report through the Power BI Service
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Introduction to the Query Editor
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Creating your Datasets
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Customising your Visuals
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Manipulating tiles in a Dashboard
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Consulting and using a Dashboard
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Improved version history
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Sharing and publishing your Dashboard
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Customising your Report
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XLOOKUP (Advanced metrics)
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Use slicers, timelines and PivotCharts to analyze your pivotetable data
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Check and share your form results
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XLOOKUP (Basic metrics)
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Manage video settings
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Optimize Meetings with Viva Insights
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Receiving a briefing email from Viva Insights
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Analyze Team Dynamics
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Organize into Folders
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Process an incoming message
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Easily Sort Your Mails
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Use Categories
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Action Function
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Search Function
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Date and Time Function
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Logical Function
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Text Function
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Basic Function
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Categories of Functions in Power FX
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Introduction to Power Fx
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The New Calendar
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Sections
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Customizing Views
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Introduction to the New Features of Microsoft Teams
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Guide to Using the Microsoft Authenticator App
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Turn on Multi-Factor Authentication in the Admin Section
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Concept of Multi-Factor Authentication
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Retrieve Data from a Web Page and Include it in Excel
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Understand the Specifics and Requirements of Desktop Flows
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Dropbox: Create a SAS Exchange Between SharePoint and Another Storage Service
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Excel: List Files from a Channel in an Excel Workbook with Power Automate
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Excel: Link Excel Scripts and Power Automate Flows
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SharePoint: Link Microsoft Forms and Lists in a Power Automate Flow
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SharePoint: Automate File Movement to an Archive Library
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Share Power Automate Flows
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Manipulate Dynamic Content with Power FX
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Leverage Variables with Power FX in Power Automate
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Understand the Concept of Variables and Loops in Power Automate
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Add Conditional “Switch” Actions in Power Automate
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Add Conditional “IF” Actions in Power Automate
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Create an Approval Flow with Power Automate
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Create a Scheduled Flow with Power Automate
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Create an Instant Flow with Power Automate
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Create an Automated Flow with Power Automate
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Create a Simple Flow with AI Copilot
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Create a Flow Based on a Template with Power Automate
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Discover the “Build Space”
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The Power Automate Mobile App
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Familiarize Yourself with the Different Types of Flows
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Understand the Steps to Create a Power Automate Flow
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Discover the Power Automate Home Interface
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Access Power Automate for the Web
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Understand the Benefits of Power Automate
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Add a third-party application
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Send a survey or questionnaire by email
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Collaborate directly during an event with Microsoft Loop and Outlook
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Create a collaborative email with Microsoft Loop and Outlook
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Streamline Note-Taking with OneNote and Outlook
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Create your reservation page for appointment booking (Bookings)
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Share a document securely with Outlook
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Block a sender
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Identify a fraudulent email
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Prevent transfer for a meeting
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Prevent the forwarding of an email
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Protect an email by encrypting
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Provide an overview of best security practices in Outlook
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Recover deleted items
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Recall or replace an e-mail message
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Respond to invitations as a delegate
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Use a Shared Mailbox
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Create and Manage Appointments in Delegated Calendars
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Send Emails on Behalf of Someone Else
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Mailbox Delegation Setup
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Calendar Delegation Setup
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Grant delegate access in Microsoft 365 administration
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Use the Meeting Dashboard
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Respond to a Meeting Poll
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Create a Meeting Poll
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Display Three Time Zones
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View Other Calendars
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Open a Shared Calendar
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Share Your Calendar
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Use the Scheduling Assistant
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Use the Immersive Reader Feature
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Dictate Your Email to Outlook
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Translate Emails in Outlook
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Make Your Outlook Signature Accessible
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Add Accessible Tables and Lists
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Improve the Accessibility of Images in Emails
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Improve Email Accessibility
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Send Automatic Out-of-Office Replies
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Prepare for Time Out of Office (Viva Insights)
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Respect Your Colleagues' Off Hours (Viva Insights)
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Delay Email Delivery
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Use Conversation View
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Clean Up Your Inbox
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Organize Your Messages with Rules
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Use Categories
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Easily Sort Your Mails
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Automate Routine Actions
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Create an Email Template
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Create a task from a message
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Share a task list
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Create a task or reminder
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Task Module Overview
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Manage Teams online meeting options
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Edit or delete an appointment, meeting or event
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Create a reminder for yourself
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Respond to a meeting
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Create an appointment or meeting
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Create different types of events
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Edit and customize views
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Presentation and introduction to the calendar
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Search options
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Sort and filter emails
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Request a Read Receipt or Delivery Confirmation
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The Bcc Field in Detail
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Save and Print a Message
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Insert Elements in Emails (Tables, Charts, Images)
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Attach files efficiently in Outlook
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Process an incoming message
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Send an Email and Create a Draft in Outlook
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Organize into Folders
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Manage new message notifications
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Introduce the new version of Outlook
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Search for Documents
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Sync OneDrive with a Computer
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Edit, Delete a Share
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Share and Collaborate OneDrive
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Power and Manage OneDrive
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What is OneDrive ?
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Objectifs :
This video aims to demonstrate how to utilize various features in Query Editor to prepare a dataset for reporting in Power BI. It covers data importation, formatting, and manipulation techniques necessary for effective data analysis.
Chapitres :
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Introduction to Query Editor
In this section, we will explore the functionalities of Query Editor in Power BI. The focus will be on preparing a dataset that consists of 704 rows, which will be used to generate a report. Often, imported data is not formatted correctly or is not ready for analysis. -
Importing and Preparing Data
To begin, we will import the dataset. A common issue is that the Country column may only have the first line of each section filled. To ensure Power BI can analyze sales by country, we will use the 'Fill Down' feature found in the Transform tab. -
Handling Null Values
After filling down, there may still be rows with null values in the header of each section. To remove these, right-click on a null value and select 'Does Not Equal' to delete it. Power BI will automatically detect the data type, such as number or whole number. -
Filtering Data
Since we are only interested in European sales, we will delete the rows that list US sales, which range from row 561 to row 700, totaling 140 lines. This can be done using either the 'Keep Rows' command or the 'Remove Rows' command. -
Selecting Relevant Columns
For our analysis, we will focus on the Month Number, Month Name, and Date columns. These can be selected by holding down the Ctrl key and clicking on the desired columns under the Home tab. -
Splitting Columns
To split a column into several columns, we can use the 'Split Column' command and choose 'By Delimiter.' Power BI will automatically detect the delimiter, or you can select one from the list. Alternatively, you can create new columns from existing ones using the 'Column From Examples' feature. -
Replacing Values
To change the manufacturing value of a product, select the cell with the value to be changed, then use the 'Replace Values' command under the Home tab. Enter the new value and confirm by clicking OK. -
Adding Calculated Columns
If a column for actual sales is missing, we can add it by naming the column and entering a formula that calculates actual sales by subtracting the discount value from the sales total. If errors occur in the formula, they can be corrected before confirming. -
Creating Conditional Columns
To indicate a gain, we will create a final column using the 'Conditional Column' command, which functions similarly to the IF function in Excel. We will set the condition to check if the Profit column is greater than 0, outputting 'Yes' for gains and 'No' otherwise. -
Finalizing the Dataset
Once all edits are made, we will apply the changes by clicking on 'Close & Apply' under the Home tab. It is important to note that most features in Query Editor can also be accessed by right-clicking with the mouse.
FAQ :
What is Query Editor in Power BI?
Query Editor is a tool in Power BI that allows users to transform and prepare their data for analysis. It provides various features to clean, reshape, and modify datasets before they are used in reports.
How do I import data into Power BI?
To import data into Power BI, you can use the 'Get Data' option on the Home tab. Select the data source you want to import from, and follow the prompts to load your dataset into Power BI.
What should I do if my imported data is not properly formatted?
If your imported data is not properly formatted, you can use the features in Query Editor to clean and transform the data. This includes filling down values, changing data types, and removing unnecessary rows.
How can I delete specific rows in Query Editor?
You can delete specific rows in Query Editor by using the 'Remove Rows' command. You can choose to remove rows based on their position or specific criteria.
What is the purpose of the Conditional Column feature?
The Conditional Column feature allows you to create a new column based on specific conditions. It functions similarly to the IF function in Excel, enabling you to categorize data based on defined criteria.
How do I calculate actual sales in Power BI?
To calculate actual sales in Power BI, you can create a new column that subtracts the discount value from the total sales. This can be done using a formula in the new column.
Quelques cas d'usages :
Sales Data Analysis
Using Query Editor to clean and prepare sales data for analysis in Power BI. This includes removing irrelevant rows, filling down missing values, and calculating actual sales to gain insights into sales performance.
Monthly Reporting
Preparing a monthly sales report by transforming the dataset to include only relevant columns such as Month Number, Month Name, and Actual Sales. This allows for efficient reporting and analysis of sales trends over time.
Data Quality Improvement
Utilizing Query Editor to enhance data quality by identifying and removing null values, correcting data types, and ensuring that the dataset is ready for accurate analysis and reporting.
Profitability Analysis
Creating a profitability analysis report by adding a Conditional Column to indicate whether sales resulted in a gain or loss. This helps businesses make informed decisions based on profit margins.
Data Transformation for Marketing Insights
Transforming marketing data to analyze the effectiveness of campaigns by filtering out irrelevant data, calculating actual sales, and preparing the dataset for visualization in Power BI dashboards.
Glossaire :
Query Editor
A tool in Power BI used for data transformation and preparation before analysis.
Dataset
A collection of data that is used for analysis and reporting.
Transform tab
A section in Query Editor where users can apply various data transformation operations.
Fill Down
A command used to fill empty cells in a column with the value from the cell above.
Data Type
The classification of data in a column, such as number, text, or date.
Remove Rows
A command used to delete specific rows from a dataset based on certain criteria.
Split Column
A feature that allows a single column to be divided into multiple columns based on a delimiter.
Conditional Column
A feature that creates a new column based on conditions, similar to the IF function in Excel.
Actual Sales
The total sales amount after deducting any discounts.
Discount Value
The amount subtracted from the total sales price.