I have taken exactly 1 programming class. I know about this squints at gap between fingers much Python.
I really, really want to build a tiny little database thingie for plant taxonomy. I have enough Python written up to make a JSON dictionary or a CSV that I can then feed to a web thingie that makes pretty force-directed graphs. I'm a very visual person, so to relate to this data I want floating bubbles GIMME FLOATING BUBBLES THEY MAKE ME HAPPY.
I'm trying to figure out how to download/scrape or whatever the info from places like calflora and the USDA plants database to populate my thing. In the meantime I've manually typed up about 500 partial entries.
I'd really like to at least be able to generate a taxonomy tree. From the species binomial it should be easy to just relate each plant to its parent branches-- species, genus, family, order, class, phylum, kingdom. Simple, right? Ish?
Later I also want to be able to tell my bubble cloud to rearrange itself according to, say, which plants need more or less water, which ones are edible, which ones grow together in different habitats in different areas, all sorts of different things.
Oof. I miss being in class, where I could go to the computer lab and hunker over this sort of thing with buddies.
Legend for the Rail Electrification map showing Overhead Contact Line (OCL) AC with voltage, and other rail DC transmission This is based on the FizzyKnitting colour scheme developed work by Garry Keenor et al (@25kv) Note: more than 95% of the complexity (third-rail, fourth-rail and dual) is in the South East of Great Britain
Currently taking a #DataVisualization course for #Blind folks, and all I can say is that #VSCode is a prime example of why engineers should never be trusted to build good usable apps. No usability nor good design considerations at all, just a mish-mash of awful choices that aren't using common nor accepted #Accessible design patterns over on MacOS. Desktop apps aren't and shouldn't be websites and should take full advantage of what AppKit or what the native OS offers you in terms of controls.
The Learn R Through Examples by Xijin Ge, Jianli Qi, and Rong Fan provides an introduction to data analysis with R. The book covers the core topics of data analysis using different datasets, from simple and clean datasets to messy and big datasets. 🧵👇🏼
So, I'm redesigning my portfolio #website from scratch (moving away from Wordpress CMS), and I'd like to know others' opinions:
I was thinking it would be nice to retain some human readability in post authoring by using #markdown, so I got a #react markdown pipeline working (each project page dynamically renders its respective .md). But I'm in #dataVisualization, so for some project pages I want to embed #html. No prob. markdown supports iframes, right? Not quite... (1/3)
I've been accepted to Northeastern University for graduate school.... again! 😅 As I continue my #PhD in Computer Science, I'll also be taking courses in pursuit of a Graduate Certificate in #Bioinformatics, concurrent to my computer science dissertation on #datavisualization tools for high-dimensional data exploration. Super excited to see where this next chapter leads!
I'm a third year PhD student in Computer Science at an R1 university (completed MS coursework), and a dual citizen USA/EU :) Thanks for boosting! #GetFediHired
I am beyond honored and humbled to receive an NSF CAREER award! Thank you to the #DataVisualization community for your boundless support and mentorship.
I'm delighted to be presenting two papers and two artworks at #IEEEVIS in Melbourne Australia this October! 🐨
“#AR for Scholarly Publication of 3D Visualizations in #Astronomy” (Short Papers). Jane Adams, Laura South, Arzu Çöltekin, Alyssa Goodman, and Michelle Borkin
I'm currently looking for new work. I have a little over a decade's experience with various forms of SQL, and almost that much with Python, Tableau and other technology. I am very experienced with stakeholder management, requirements gathering, communication and the other things that we all know actually matter more than the coding part.
My last job title was analytics engineer, but I've been called a data engineer, analyst, DVA, etc. Different companies define the borders between those disciplines differently anyway. I have worked as a visualisation trainer and a SQL trainer, and I've done major database migration work.
I live in London, UK; I'm happy to take remote work elsewhere as long as it doesn't suddenly pivot to three days a week in the office in some far-off place or something.
I would prefer not to do unethical shit but there's no such thing as ethical work under capitalism, so we all do our best. My SME experience is predominantly in the logistics industry, and there are no saints there.
I don't do blockchain. I DO do fixing your shit after some idiot bought an overhyped product and wrecked everything with it. I absolutely do helping to break down silos and train new people. I guarantee that I will attempt to unionise your workplace. (I might fail at that.)
Feeling stuck with Excel for data analysis? You're not alone! Excel is fantastic, but for truly powerful insights and visualizations, it can fall short.
Here's what you'll gain:
🧐 * Advanced data manipulation & cleaning
💻 * Powerful statistical analysis & modeling
📉 * Eye-catching data visualizations
🌟 * Seamless integration back to Excel
Makie is a data visualization ecosystem for the Julia programming language, with high performance and extensibility. It supports various data visualization applications like 2D, 3D, and geospatial plots.
Day One of our cozy @ieeevis writing retreat has kicked off at the Northeastern Roux Institute campus in Portland Maine! Excited to see what folks submit this year 😍
I spent last night to build this fun Shinylive app - Forecasting Sandbox 😎
The app provides a simple sandbox for three simple forecasting models - Linear regression, ARIMA, and Holt-Winters, and it entirely runs on the browser!
I am planning to deploy it to Github Actions and create a tutorial (WIP) 👇🏼
This is an excellent story by alvin chang about the impact of adverse childhood experiences.
After introducing the main character, Alex, the simulation has both a marker and an animation delay to help you keep track of the him throughout the story.