รู้ศัพท์ (โฆษณา) รู้ภาษา (การตลาด) กับโฆษณานุกรม

โฆษณานุกรม 146-150: NFT, Snackable Content, Transparency, Data Visualization, Thumb-Stopping

Our latest Conversations with Data podcast features Maarten Lambrechts, a freelance data visualisation consultant based in Belgium. In this episode, he talks to us about how he helps organisations like the World Bank communicate their numbers by evaluating, designing and developing static and interactive visualisations. He also explains how he developed his coding and design skills for a career in data storytelling.

Episode 29: Conversation with Maarten Lambrechts

Let’s make equations musical.  Instead of visualizing equations on a graph, let’s listen to them on the piano, merging all our math and music knowledge. You can make two-dimensional x-y math equations audible – or sonify them – by translating the x-values to time and the y-values to the keys of a piano.  If you can’t play them on the piano yourself, we can use the free web app Chordinates! by Pios Labs to do it instead.  Listen to the sound of coordinates, linear equations, polynomials, trigonometric functions, and random distributions of notes on the piano, and analyze their patterns. Then take the audio review quiz at the end, complete with extended creative and technical challenges.  Got your own reactions to this episode? Would love to hear your thoughts.

Related to this episode:  
• Chordinates! beta, a free web by Pios Labs: https://www.pioslabs.com/chordinates/
• Coordinate plane, from Desmos.com: https://www.desmos.com/calculator/q8mwzeylbk
• HCI Beyond the GUI, book by Philip Kortum: https://www.amazon.com/HCI-Beyond-GUI-Nontraditional-Technologies/dp/0123740177/ref=sr_1_1?ie=UTF8&s=books&qid=1241987101&sr=8-1
• Google nGram viewer, for analyzing the prevalence of the words “sonify” and “sonification”: https://books.google.com/ngrams/graph?content=sonify%2Csonification&year_start=1800&year_end=2019&corpus=26&smoothing=3&direct_url=t1%3B%2Csonify%3B%2Cc0%3B.t1%3B%2Csonification%3B%2Cc0

Music credits:
All clips used are under Creative Commons 0 Licenses, including from the following artists.
• Tyler Schanck, The Wandermiles: www.thewandermiles.com
• Doctor Dreamchip: https://www.youtube.com/channel/UCbhlcItuC6pmhhemUjhPt1w
• Moz5a: www.mankus.co.uk
• Sondre Drakensson: https://soundcloud.com/drakensson93
• Eathan Markson: https://soundcloud.com/eathan-markson
• Don Veca: https://soundcloud.com/dveca/sets/generative-jazz
• Komit: https://freesound.org/people/Komit./
• Epon Audio: https://www.patreon.com/EponAudio?fan_landing=true
• Nate Ziller: http://www.nateziller.com/
• Julian Evans: http://www.julianevans.info/

Equations referenced:
• y = x, https://www.pioslabs.com/chordinates/index.html?&x=x-scale-custom&xmin=0&xmax=51
• y = -2x, https://www.pioslabs.com/chordinates/index.html?&x=x-scale-custom&params=-2,0&xmin=0&xmax=51
• Linear equation, minor scale: https://www.pioslabs.com/chordinates/index.html?&m=diatonic-cminor&x=x-scale-custom&params=1,-1&xmin=0&xmax=51
• Linear equation, chromatic scale: https://www.pioslabs.com/chordinates/index.html?&m=chromatic&x=x-scale-chromatic-origin&y=y-scale-chromatic-origin
• y = x^2, https://www.pioslabs.com/chordinates/index.html?f=quadratic-standard&x=x-scale-custom&params=1,0,0&xmin=0&xmax=51
• y = 16sin(x), free rhythm, https://www.pioslabs.com/chordinates/index.html?f=trigonometric-sin&r=rhythm-even-y&params=16,1,0,0
• y = 5vtan((1/2)x), free rhythm, https://www.pioslabs.com/chordinates/index.html?f=trigonometric-tan&r=rhythm-even-y&params=5,0.5,0,0
• Square wave, amplitude = 2, offset = 2, major 3rd harmony, https://www.pioslabs.com/chordinates/index.html?f=sgn-cos&h=harmony-majorthird&params=2,1,2
• y = uniform random distribution, from -23 to 28, https://www.pioslabs.com/chordinates/index.html?f=statistical-rand-uniform&params=28,-23

Subscribe and find more podcast information at: http://www.k12engineering.net.  Support Pios Labs with regular donations on Patreon: https://www.patreon.com/pioslabs. You’ll also be supporting projects like the Engineer’s Guide to Improv and Art Games, The Calculator Gator, or Chordinates!  Thanks to our donors and listeners for making the show possible.  The K12 Engineering Education Podcast is a production of Pios Labs: http://www.pioslabs.com.

The K12 Engineering Education Podcast

What Do Equations Sound Like on the Piano?

Support on Patreon

Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices.

In this episode you will learn:
• What does Kate do (from her children’s perspective) [1:56]
• What kind of tools does Kate employ? [5:19]
• Kate’s day-to-day [13:03]
• DATAcated Conference [16:03]
• How do you amass a big LinkedIn following? [20:39]
• Kate’s four published books [29:55]
• The guidelines to follow to succeed in this field [37:00]
• What’s next for Kate? [41:24]

Additional materials: www.superdatascience.com/441

The SuperDataScience Podcast: Machine Learning | AI | Success

SDS 441: Communicating Data Effectively

Promoting education in engineering and design for all ages.  Learn more and read transcripts at www.k12engineering.net. Produced by Pius Wong, engineer, of Pios Labs (www.pioslabs.com). 

This podcast is for educators, engineers, entrepreneurs, and parents interested in bringing engineering to younger ages. Listen to real conversations among various professionals in the engineering education space, as we try to find better ways to educate and inspire kids in engineering thinking.  For episode transcripts and more information, visit: www.k12engineering.net

Topics include overcoming institutional barriers to engineering and STEM in K12, cool ways to teach engineering, equity in access to engineering, industry needs for engineers, strategies for training teachers, "edtech" solutions for K12 classrooms, curriculum and pedagogy reviews, and research on how kids learn engineering knowledge and skills. Thanks for listening!

The SuperDataScience podcast brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. 

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.

Ad Addict Podcast - แหล่งรวมพอดแคสต์เพื่อนักการตลาด นักโฆษณา เจ้าของกิจการ ครีเอเตอร์

#DataVisualization