![]() "Mondays at Microsoft" LIVE on LinkedIn - 8am PST - Monday 15th May - Grab your Monday morning coffee and come join Principal Program Managers Heather Cook and Karuana Gatimu for the premiere episode of "Mondays at Microsoft"! This show will kick off the launch of the new Microsoft Community LinkedIn channel and cover a whole host of hot topics from across the #PowerPlatform, #ModernWork, #Dynamics365, #AI, and everything in-between. If you're new to this LinkedIn group, be sure to subscribe here in the News & Announcements to stay up to date with the latest news from our ever-growing membership network who "changed the way they thought about code". Welcome to our May 2023 Community Newsletter, where we'll be highlighting the latest news, releases, upcoming events, and the great work of our members inside the Biz Apps communities. We will do our best to address all your requests or questions. If you’d like to hear from a specific community member in an upcoming recording and/or have specific questions for the Power Platform Connections team, please let us know. Power Apps Community Power Automate Community Power Virtual Agents Community Power Pages Community 20-22nd - Dublin Microsoft Power Platform Conference – Oct. Power Apps Developers Summit – May 19-20th - London European Power Platform conference – Jun. Video series available at Power Platform Community YouTube channel. This episode premiered live on our YouTube at 12pm PST on Thursday 18th May 2023. focus=STRATP_com_cm4all_wdn_Flatpress_42136159&path=?x=entry:entry230511-101930#C_STRATP_com_cm4all_wdn_Flatpress_42136159_-anchor requested: Feel free to provide feedback on how we can make our community more inclusive and diverse. Use the hashtag #PowerPlatformConnects on social media for a chance to have your work featured on the show.Ġ0:00 Cold Open 00:32 Show Intro 01:10 Jocelyn Panchal Interview 24:10 Blogs & Articles 29:50 Outro & BloopersĬheck out the blogs and articles featured in this week’s episode: ![]() This lesson will be structured as follows: You'll get motivated to assess (and later clean) the dataset for lessons 3 and 4: Phase II clinical trial data that compares the efficacy and safety of a new oral insulin to treat diabetes You'll learn to distinguish between dirty data and messy data You'll assess the data visually and programmatically to identify: Data quality issues Tidiness issues You'll learn about data quality dimensions and categorize each of the data quality issues identified above into its appropriate dimension To begin, I want to introduce you to the dataset you will be assessing in this lesson.Episode Fourteen of Power Platform Connections sees David Warner and Hugo Bernier talk to Microsoft PM Jocelyn Panchal, alongside the latest news, videos, product reviews, and community blogs. We have tried to include quizzes wherever possible. This lesson is the shortest and most "hands-off" code-wise of all four in the course because of the passive nature of assessing relative to gathering and cleaning. You can't clean something that you don't know exists! In this lesson, you'll learn to identify and categorize common data quality and tidiness issues. content issues) and lack of tidiness (i.e. When assessing, you're like a detective at work, inspecting your dataset for two things: data quality issues (i.e. Lesson Outline Data wrangling process: Gather Assess (this lesson) Clean Assessing your data is the second step in data wrangling. ![]() ![]() This lesson will be structured as follows: You'll get motivated to assess (and later clean) the dataset for lessons 3 and 4: Phase II clinical trial data that compares the efficacy and safety of a new oral insulin to treat diabetes You'll learn to distinguish between dirty data and messy data You'll assess the data visually and programmatically to identify: Data quality issues Tidiness issues You'll learn about data quality dimensions and categorize each of the data quality issues identified above into its appropriate dimension To begin, I want to introduce you to the dataset you will be assessing in this lesson. GitHub - seni1/assessing-data: Lesson Outline Data wrangling process: Gather Assess (this lesson) Clean Assessing your data is the second step in data wrangling.
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