Aggregation, Granularity, & Level of Detail | Tableau Course Tutorial For Beginners | скачать в хорошем качестве

Aggregation, Granularity, & Level of Detail | Tableau Course Tutorial For Beginners |

Aggregation, Granularity, & Level of Detail | Tableau Course Tutorial For Beginners | Henry Harvin 🔥Henry Harvin Tableau Course (Use code “ YOUTUBE20” ) https://bit.ly/3mqsuFc This Henry Harvin video on “Aggregation, Granularity, & Level of Detail ” is a complete Aggregation, Granularity, & Level of Detail tutorial for beginners who want to learn Aggregation, Granularity, & Level of Detail. Here you learn all about Aggregation, Granularity, & Level of Detail . Aggregation and granularity are complementary concepts. Aggregation is a mathematical operation that takes multiple values and returns a single value: operations like sum, average, count, or minimum. This changes the data to a lower granularity (aka a higher level of detail) When Aggregate Measures is selected, Tableau will attempt to aggregate measures in the view by default. This means that it collects individual row values from your data source into a single value (which becomes a single mark) adjusted to the level of detail in your view. Granularity refers to the level of detail of the data stored in a table or in other words. ”What does a single row in a data table represent?” Tableau Tip: The term 'Level of Detail' (which you may have come across in many Tableau Blogs, and Articles. Level of Detail (LOD) expressions are used to run complex queries involving many dimensions at the data source level instead of bringing all the data to Tableau interface. A simple example is adding dimension to an already calculated aggregate value. Henry Harvin Course with Completion Certificate: https://bit.ly/3mqsuFc --------------------------------------------------------------------------- ✅ 𝐅𝐨𝐥𝐥𝐨𝐰 𝐇𝐞𝐧𝐫𝐲 𝐇𝐚𝐫𝐯𝐢𝐧 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 for more information, Visit: 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://bit.ly/2VyjTVa 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://bit.ly/2TTQUuN 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://bit.ly/3lwcGzV 𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://bit.ly/2VqdSKB --------------------------------------------------------------------------- 🔴 Subscribe to our channel to get latest video Updates: https://bit.ly/3fspZxu 🔴 Check out more Tableau Course Tutorials: https://bit.ly/3za7Psd #Henryharvin #BestOnlineTableauCourseTutorialForBeginners #TableauCourse #Tableau #Aggregation,Granularity,&LevelofDetail 𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐂𝐨𝐮𝐫𝐬𝐞: Henry Harvin Tableau certification is Ranked 1 in the industry by BNC.com. Henry Harvin’s Tableau Training Courses are Ranked Top in the industry by BestCourseNews.com Live Projects, Recorded Videos, Internship, Interview Skills, Weekly Job Support, Career Services, Access to E-Learning, and Complimentary Soft Skills and Resume Writing Courses. Once enrolled at our Analytics Academy, you have the facility to attend different batches with different trainers. This means you can have unlimited repetitions of the Tableau Training Course during your membership period without paying anything extra. Includes industry-based projects to help you gain hands-on experience of Tableau training with projects such as Tableau Desktop, Tableau Prep Builder, & Tableau Online. Tableau Training Course: Duration/Mode: 32 hours of immersive instructor-led training, 24 hours of Boot Camp sessions, and 50 hours of e-learning access ⏩ 𝐖𝐚𝐭𝐜𝐡 𝐦𝐨𝐫𝐞 𝐯𝐢𝐝𝐞𝐨𝐬: https://bit.ly/3fspZxu Key Features: ✅ Recognised Certification ✅ Integrated Curriculum ✅ 100% Practical Training ✅ Gain Experience of 12+ Projects ✅ Job guidance and 1-year support of Management Academy ✅ Trusted by 160+ Corporates and 60+ Colleges ✅ Become Eligible for jobs demanding AI background. ✅ Fill the void of thousands of untapped High-Paying Jobs for Artificial Intelligence experts. ✅ Open doors to Job Opportunities Abroad demanding specialization. ✅ Improve your CV & Linkedin Profile with technical & professional development. Learn more at our Website: https://bit.ly/3Cibw0U 👉 𝐑𝐞𝐚𝐜𝐡 𝐮𝐬 𝐨𝐮𝐭: Email: info@henryharvin.com Helpline No.: +91 9015266266 Whatsapp: +91-9891953953 ---------------------------------------------------