See the forest, see the trees. Here lies the challenge in both performing and presenting an analysis. As
Presenting my work is one of the surprising challenges I faced in my recent transition from academia to life as a data analyst at a market research and strategy firm. When I was a linguistics PhD student at
In this second entry in the communicating data science series, I cover some essentials when it comes to presenting a thorough,
Imagine you’ve just completed the so-called heavy lifting, whatever it may be, and you’re ready to present your results and conclusions in a report. Well, step away from the word processor! There are two things you must first consider: your audience and your goals. This is your
Who is your audience?
The matter of who you’re speaking to will influence every detail of how you choose to present your analysis from whether you use technical jargon or spend time carefully defining your terms. The formality of the context may determine whether a short, fun tangent or personal anecdote will keep your audience happily engaged or elicit eye rolls
This is all important to consider because once you’ve envisioned your audience, you take stock of what may and may not be shared knowledge and how to manage their expectations. In your writing (and in everyday life), it’s useful to be cognizant of Grice’s principles of cooperative communication:
Maxim of quantity: be informative, without giving overwhelming amounts of extraneous detail.
Maxim of quality: be truthful. Enough said.
?Maxim of relation: be relevant. I’ll give you some tips on staying topical shortly!
?Maxim of manner: be clear. Don’t be ambiguous, be orderly.
So be cooperative! Know your audience and do what you can to anticipate their expectations. This will ensure that you cover all ground in exactly as much detail as necessary in your report.
What is the goal?
Or perhaps it's a strategic initiative you're after: Did you set out to learn something new about some data (and the world)? Or have you been diligently working on a new skill you’d like to showcase? Do you want to test out some ideas and get feedback? It’s okay to make it your goal to find out “Can I do this?” Maybe you want to share some of your expertise with the community on Kaggle Scripts. In that case, it’s even more imperative that you have a buttoned-up analysis!
If you’ve reached the point of having an analysis to report, you’ve more than likely familiarized yourself with the goals of the initiative, but you must also keep them at the forefront of your thoughts when presenting your results as well. Your work should be contextualized in terms of your understanding of the research objectives. Often in my own day
Click Here to read the rest of the article.