![]() New Card Visual: Add Images to the Card Visual.This entry was posted in Excel, Power BI, Power Query and tagged Excel, Power BI, Power Pivot, Power Query. Leila is an active Technical Microsoft AI blogger for RADACAD. She also AI and Data Platform Microsoft MVP. She was involved in many large-scale projects for big-sized companies. She has over ten years’ experience working with databases and software systems. She is a well-known International Speakers to many conferences such as Microsoft ignite, SQL pass, Data Platform Summit, SQL Saturday, Power BI world Tour and so forth in Europe, USA, Asia, Australia, and New Zealand. She is a Data Scientist, BI Consultant, Trainer, and Speaker. She is the co-organizer of Microsoft Business Intelligence and Power BI Use group (meetup) in Auckland with more than 1200 members, She is the co-organizer of three main conferences in Auckland: SQL Saturday Auckland (2015 till now) with more than 400 registrations, Difinity (2017 till now) with more than 200 registrations and Global AI Bootcamp 2018. She is the Co-director and data scientist in RADACAD Company with more than 100 clients in around the world. in Information System from the University Of Auckland. Leila is the first Microsoft AI MVP in New Zealand and Australia, She has Ph.D. In the following action, I need to make the age group a single column as distributed as many columns at the top, and this means I need to use the Unpivote Other columns option by selecting the Year and Gender aĪs we have a separate column for the Year which has many repetitions, we have a gender column, an attribute that is the age group, and the last column shows the number of death for the selected year, gender, and age group.Īfter loading data into visualization the slice snd dicing data is much easier and you can use variety of visuals and slicers In next action I will remove total from Gender column as we able to calculate the total later in visualization and other calculations. ![]() Next, I renamed the first column to Year second to Gender, and also I promoted the first row to be a header. I have to use Fill Down features to replace null for each of those three values. There is another data transformation needed before making a data stable style.Įach year has been repeated for three values (Total, female, and Male). I removed some of the necessary rows of data and replaced some data value with the correct one so the data look like below.
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