How To Win With Your Data Visualizations: The 5 Part Guide for Junior Analysts to Create Effective Data Visualizations and Engaging Data Stories - Couverture souple

Clarke, Elizabeth

Couverture souple

ISBN 10 : 1777967104 ISBN 13 : 9781777967109

Editeur : Ken Fornari, 2021

Synopsis

How To Tell A Proper Story With Data Every Single Time!

Smacking some numbers onto a pie chart is old news and simply doesn’t work anymore. Keeping your audience inspired and on the edge of their seats through an engaging data story is what we as business professionals should be striving to do.

How To Win With Your Data Visualizations uncovers the fundamentals of what makes a winning data presentation and has laid them out in 5 easy to understand parts you can immediately apply to your next chart and presentation to see a winning data story unfold. In this book, you will discover:

• The most important part when presenting data
• How to select the proper chart to represent the data effectively
• Chart design secrets to keep your audience engaged and their attention exactly where you want it
• Decide what information your audience actually needs
• The proven most effective way to explain a chart
• Walkthrough of the presentation process

And much more...

As a free bonus, you'll get my "Data Visualization Checklist" so you can make sure every visual you create is appropriately executed and set up for success.

Interpreting data effectively is the most important skill for anyone who works with data to drive business decisions. You are 5 parts away from creating better data visualizations, captivating your audience with an effective presentation, enhancing your data analytic skills, and being the driving force for better business decisions.

Click the “Buy Now” button above to dramatically improve your data visualizations, and presentations. For less than the price of your weekly morning coffee, you can make a difference within your company and be ahead of the curve in what could potentially be one of the most important decades for data.

Détails de l'édition

• Éditeur: Ken Fornari
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 1777967104
• ISBN 13: 9781777967109
• Reliure: Broché
• Nombre de pages: 192
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible