Today, we are talking about Taylor Swift and visualizations.
Does it seem like a very unreasonable thing?
I thought so as well but then I read this interesting LinkedIn post where I laughed hard but it really made sense!
Join us in today’s episode as we are talking about the following points:
| Lyric | Answer | Question |
| “Cherry lips, crystal skies I could show you incredible things.” | Taylor talks of her mastery of colour, as she alludes to the incredible insights she can display through just a splash of red against a crystal-clear background. | What are your key learnings regarding colour? |
| “Find out what you want Be that girl for a month.” | Unlike many data projects, Taylor’s will succeed – because she takes the time to find out what her stakeholders want, and agrees clear deadlines. | How does your practice look like to learn about the needs of the stakeholders? |
| “So it’s gonna be forever or it’s gonna go down in flames.” | Unlike many data projects, Taylor’s will succeed – because she takes the time to find out what her stakeholders want, and agrees clear deadlines. | How does your practice look like to learn about the needs of the stakeholders? |
| “But I’ve got a blank space, baby And I’ll write your name.” | Taylor’s only mistake. My advice would be to leave that space blank and clutter free. | How do you measure the success of your visualization? |
Reference:
blog: https://www.linkedin.com/feed/update/urn:li:activity:6709808936557580289/
Listen to this episode now and share this with your friends and colleagues!
Never miss an episode!
Join thousends of your peers and subscribe to get our latest updates by email!
Get the
Learn on demand
Click on the button to see our Teachble Inc. cources.
Featured courses
Click on the button to see our Teachble Inc. cources.
Nicholas Lowthorpe
Research & Enterprise Analyst
He is an Engineer-turned-analyst passionate about empowering people to build their data communication & visualisation skills.
Much of his career has been in high-pressure defence and national security roles, where he has excelled at informing rapid decision making through translating complex technical concepts to lay audiences. At the heart of this was effective data visualisation and presentation. He was also a FAMELAB regional heats winner, a public speaking competition intending to find charismatic and engaging speakers on STEM topics
He has developed complementary experience in engineering, data science and project management, and this has shown him that there are a huge amount of people who need to interact with data who don’t identify as a data scientist, programmer or mathematician.
This makes data literacy one of the most important skills, especially in a world where data is increasingly used to inform evidence-based decision making and business success.
He wants to play his part in helping people feel less intimidated by communicating with data and selling their impact.
Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
