Pamela Schultz, PhD

[Pamela Schultz, PhD @pamsdata]

Take a coffee break ☕️ Learn about color ramps 🌈😀

[DataGraph @datagraphapp]

Premiering soon! 11AM ET - #Color ramps in DataGraph! Learn what's wrong with the rainbow, new color ramp options, and how to create custom color ramps.
#datascience #data @YouTube

https://t.co/KTGcKSRHH9

[Pamela Schultz, PhD @pamsdata]

@jotstweet You’re really having fun with this one!

[Pamela Schultz, PhD @pamsdata]

#30daychartchallenge
Day 10 | Distributions | Physical

I decided to do something with height and stumbled upon this article on the height of Polish women. I had no idea height could change that much over time.
https://t.co/4cfipPUfd4

Tool: @datagraphapp

[Pamela Schultz, PhD @pamsdata]

@jotstweet Fascinating!

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge
Day 9 | Distributions | Major Minor

This was fun 🎼 Ranked major and minor keys used in popular songs according to @hooktheory.

Here are two examples from the #Beatles
C Major - Let It Be
A Minor - You Never Give Me Your Money

tool: @datagraphapp

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge
Day 8 | distributions | circular

For today, I used data from Wellington, New Zealand, the so-called windiest airport in the world, to create a Wind Rose, showing the wind speed and direction.
🌬️✈️

Tool: @datagraphapp
Data: https://t.co/F7Diyn7CN6

[Pamela Schultz, PhD @pamsdata]

@alexee_mayette Nice!

[Pamela Schultz, PhD @pamsdata]

@alexee_mayette nice-looking graphic, but something about the numbers didn't seem right. So I checked the source - it is the number of "People affected by natural disasters", not the number/frequency of disasters. A subtle but important difference!

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge
Day 7 | Distributions | Hazards

North Carolina, where I live, is known for its hurricanes. So for this prompt, I downloaded the HURDAT database and counted named storms that made landfall in the US from 1950 to 2022.

Data: @NOAA
Tool: @datagraphapp

[Pamela Schultz, PhD @pamsdata]

@andrewstagsfan @datagraphapp @YouTube This is one of those things that you think “How did we not add this before now?!” I’m already using it all this time.

[Pamela Schultz, PhD @pamsdata]

@jotstweet @datagraphapp Thanks!

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge
Day 5 | diverging

Went to the movies again for this one.
📽️ (second time posting - I forgot to add the image the first time 🤪)

Tool: @datagraphapp
Data: #rottentomatoes

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge
Day 6 | @OECD

Picked data to access transit. Dublin topped the list with nearly 100% of the population within 10 minutes of transit! 🚍🚆

Tool: @datagraphapp
Data: @OECD Access to public transport

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge
Day 4 | Waffle

#JohnWick 4 was released just over a year ago and has the highest #RottenTomatoes ranking of the entire franchise, at 94%! Yes, I am a fan.

Data: https://t.co/yAG8FKlnCt
Tool: @datagraphapp

[Pamela Schultz, PhD @pamsdata]

@ShriKhalpada Nice one! Got to love 7 :)

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge
Day 3 | Makeover

For today, I made up data, but the graph is almost identical to one published in a recent scientific journal. In fact, I see graphs published ALL THE TIME that use ONLY color to encode data.

https://t.co/hvnYY9kAmp

Tool: @datagraphapp

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge | Day 2 | Neo

Went with new words for this one.📈 'Meme' and 'Emoji' are still going strong according to #google #trends.🧐

Tool: @datagraphapp
Data: https://t.co/1dHdc5BQm9

[Pamela Schultz, PhD @pamsdata]

#30DayChartChallenge Day 1 | Part-to-Whole
I pulled GHG emissions from the @EPA for UNC, which pledged to stop burning coal in 2020. Switching to natural gas decreased total emissions, but coal remains the top contributor.
Data: https://t.co/Xo2qr9yAFr Tool: @datagraphapp

[Pamela Schultz, PhD @pamsdata]

Worked hard on this one! 📽️📈

[DataGraph @datagraphapp]

Premiering Today! 11:00AM ET - DataGraph Demo: Global Parameter Fitting | Michaelis-Menten equation
https://t.co/EX9wrX3m06 via @YouTube #data #graph #biology #science #macOS

[Pamela Schultz, PhD @pamsdata]

@jotstweet The probability looks a bit too high that the mean will be below freezing to me. I’d say keep the chemicals inside!