Deneb for aesthetics With Kerry Kolosko

Join our Microsoft Power BI - UK User Group for our webinar in association with Pomerol (pomerolpartner...).
This session we are excited to announce our host Microsoft MVP Pragati Jain will be introducing Microsoft MVP Kerry Kolosko.
Join the Microsoft Power BI UK - User Group on -
Microsoft Community - community.powe.... LinkedIn - / 8909321
MeetUp - www.meetup.com....
Session Abstract -
Deneb is a flexible custom visual for Power BI that can be utilised for creative bespoke visualisations, information rich metrics, exploratory data analysis, or improved data visualisation aesthetics. This session will focus on aesthetics in dashboard and data visualisation design with the help of Deneb.
Biography
Kerry Kolosko is a data visualisation consultant hailing from Adelaide, South Australia.
She has several years experience in reporting and business analyst roles across a wide range of industries. An educational background in business and psychology has aided in refining the art of data story-telling.
Also a Microsoft MVP, she shares her data visualisation designs and design tips at kerrykolosko.com.
Social Media / Website Links
/ kerrykolosko
/ kerrykolosko
kerrykolosko.com/
/ @kerry_kolosko

[@jamesrosicky2912]

Hi, is there any PowerBI UK community still active?

[@welcometomathy]

So If you are a data nalyst with very poor skills in UI/UX but want to get started with building my own dataviz, should I start to have a look on PlotlyJS or deneb? Whats better whats easier to learn practice and which one is more limited vs the other

[@PGVladimirovich]

If you want better UI/UX I would suggest studying some fundamentals of data viz, viz grammer and UI/dashboard design in general first and foremost. If what you really want is to bust out some custom visual asap for some corporate deliverable, then I would suggest you consider licensing terms & pricing. Deneb is the clear winner if you don't have leverage over IT approvals and requisition. Also, Deneb has the advantage of being part of the d3/Vega/vega-lite stack so it's a neat grammer to pick up that will translate well to notebooks and web outside of PowerBI (although plotly does a good job of this as well so I don't think it hurts to learn both from a python notebooks perspective).