Are you working long hours?
How do you manage your time?
Do you know how to say no?
How do you manage expectations?

We want to achieve our goals and be productive at the same time, i.e. we want to accomplish a lot of things during the day. But is it really effective to work long hours?

How do you create effective data visualization?
How do you effectively understand and communicate your data?

This episode helps you to explore different perspectives and approaches to create more effective visualizations. Andy and Eva from MakeoverMonday offer inspiration and a dose of perspective for those who communicate data.

"A core outcome set (COS) is an agreed standardised set of outcomes that should be measured and reported, as a minimum, in all clinical trials in specific areas of health or health care".

The Introduction to Industry Training (ITIT) gives the delegates a taste of life across the pharmaceutical industry from early drug discovery to marketing, from CRO to Big Pharma and across the UK and continental Europe. The course aims to show the delegates the breadth and depth of work that goes on the industry and give them ideas of where they can get involved. PSI organized this course into 6 two-day sessions, each covering a stage of drug development and each hosted at a different company. The host company will give their unique perspective from experts in the field.

This is a very special episode. More than 2 years have passed since Benjamin and I started this podcast.

Do you know why is it so important to create a simple yet informative data visualization?
How your design choices impact the visuals?
How small details - like text alignment - influence the overall visualization?
How gestalt principles guide you?

Are you stepping up as a statistician?
Are you passionate enough in providing the value and helping society and the organization, and the people we serve?

The Corona Virus being discussed across the world, with all the visualizations there, it is really timely that I am speaking with Alberto Cairo. He is a visualization guru and has written the book "How Charts Lie". This book helps you as a statistician to understand various problems about charts, but more importantly, it helps you to educate your business partners that are not statisticians.

We all know how to specify a table and our processes support this. However, designing an awesome data visualization does not work this way. Our approach to table specification does not work?

As statisticians, we are one of the most capable professionals to understand and to relay the right information to the general public about the most talked-about situation - the Corona Virus.

In today's episode, I want to express what's on my mind and on my heart about this topic. You can agree or disagree with this and let me know what you think about it.

I also discussed my learnings, my reflection about this, and what is the meaning of this situation for us, statisticians.