Passionate about #DataVisualization and considering a Ph.D. in CS or PSY? Dive into this list of exciting open positions – including one with me! Check it out and spread the word! 📊🎓 #PhDPositions #FutureResearchers #TechTuesday https://vis-phd-positions.netlify.app

Passionate about #DataVisualization and considering a Ph.D. in CS or PSY? Dive into this list of exciting open positions – including one with me! Check it out and RT to spread the word! 📊🎓 #PhDPositions #FutureResearchers #TechTuesday https://vis-phd-positions.netlify.app

Every wondered how to make plots in the terminal? 💡 😎

Plotext (PyPI) makes this a breeze. Here is a quick demo where I use it to plot PyBites Platform growth over the years 📈

https://youtu.be/CA6voSE5Ki0?si=avLrIQIbQhUWOFaN

#Python #plotext #dataviz #DataVisualization #terminal #plotting #django

Geologist & physical geographer. Works with data analysis, data management and visualization within spatial data, GIS, remote sensing, metadata. Happy outside in Nature.

Likes #geoscience #environmentalscience #remotesensing #gis #FOSS #dataanalysis #geospatial #copernicus #OpenStreetMap #grassgis #qgis #GenericMappingTools #perl #python #gnuplot #imagemagick #spatial #OpenSource #openscience #datamanagement #datavisualization #Linux #amateurastronomy #running #cycling

#presentation

Geolog & naturgeograf. Arbetar med dataanalys, informationshantering och visualisering inom geodata, gis, fjärranalys, metadata. Gärna ute i naturen på fritiden.

Gillar #geoscience #environmentalscience #remotesensing #gis #FOSS #dataanalysis #geospatial #copernicus #OpenStreetMap #grassgis #qgis #GenericMappingTools #perl #python #gnuplot #imagemagick #spatial #OpenSource #openscience #datavisualization #Linux #amateurastronomy #running #cycling

#presentation

Introduction to D3 course ❤️

If you are looking for a resource for learning #d3 check the upcoming crash course Introduction to D3 by Paul Buffa. D3 is one of the leading frameworks for interactive data visualization on the web. This five-part course focuses on:

✅ D3 & Web-Based Data Visualization
✅ Scatterplots
✅ Lines charts and Bar charts
✅ General Update Pattern
✅ Thinking in D3

More details are available here 👇🏼
https://observablehq.com/@observablehq/introduction-to-d3-course

#dataviz #datavisualization #DataScience #JavaScript

Spot on!

It is very important to communicate scientific findings about global change in appealing ways.

Our usual habit of just publishing in b/w bar graphs probably didn't help to make the wider society aware of the extent of the situation.

Not exactly the interactions of factors you asked for, but can't resist mentioning this figure of the World Resource Institute, comparing the consequences of a 1.5 vs 2° C world.
https://www.wri.org/insights/2023-ipcc-ar6-synthesis-report-climate-change-findings
@s4f <- anyone has other good examples for the visualization of global change?
#sciComm #DataVisualization #GlobalChange #ScienceEducation #ScienceCommunication

@mrillig

I'm thrilled my infographic "101 Derivatives of French Mother Sauces" made the longlist for the category "Arts, Entertainment & Culture" on the 2023 Information Is Beautiful Awards! I don't think it will make the shortlist as it's pretty competitive, we're competing against individuals, teams, studios and even agencies from orgs like Reuters, USA Today, MIT, and Harvard Engineering.

https://lnkd.in/exZpzXH6

#dataVisualization #informationDesign #infographicDesign #informationArchitecture

Next Event for @rladiesrome

RSVP: https://meetup.com/rladies-rome/events/295720243/
When: September 22, 2023 at 6:00 PM CET / 12:00 PM EDT

We will be working outside of the library box diving in to the very basic R functions toward the path of mastering the R programming language for data analysis.

#rstats #rladies #datascience #dataanalysis #datavisualization #datamodeling #modeling #wrangling #R #RStudio #Posit

Visualisation annotations are useful for directing readers towards insights and unusual data points. And yet there aren’t a lot of examples of how to make them programmatically for changing, interactive visualisations.

So I wrote about the approach I cobbled together for my recent snakes vis, which I hope ends up being useful to someone else:

https://observablehq.com/@didoesdigital/annotations-using-paths-and-markers

#DataViz #DataVisualization #svg #d3

For those interested in such things, here is a visualisation of the England and Wales 2011 travel-to-work MSOA census data by transport mode https://anisotropi4.github.io/local-flow/

I wonder when the 2021 data will be made available

#travel #DataVisualization #2011Census

📢 Exciting news! Learn to visualize categorical data in R with these engaging charts:

1️⃣ Barplots with ggplot2's geom_bar()

2️⃣ Grouped boxplots with base R and ggplot2

3️⃣ Mosaic plots

🔍 Check out the guide here: https://www.spsanderson.com/steveondata/posts/2023-08-29/
🔬 Experiment with your own data and uncover valuable insights!

#DataVisualization #RStats #R #visualization #ggplot2

First class meeting of the semester is finished! I'm teaching an introductory course in a graduate data analysis and visualization program. It is going to be a fun semester. Students are interested in a lot of different topics. #DataAnalysis #DataVisualization #Python

The Voronoi simplification is by segmenting buffer lines into equal sections, identifying segment end-points, calculating the Voronoi polygons, and identify the centre-line

#DataVisualization #network #GIS #roadmap

As a follow up from yesterday's post about network simplification, here is an approach based on Voronoi polygon to create the simplified network

#DataVisualization #transport

🌍 #TidyTuesday Week 34: Exploring Refugee Flows 📊✨ Visualizing movement across continents from 2010 to 2022. An insightful Sankey diagram shedding light on global dynamics.
🔗code: https://frankhaenel.de/tidytuesday/2023/week_34.html
#DataVisualization #Refugees #dataviz #rstats #r4ds #DataAnalysis 🗺️🔍

For those interested in such things, I have been thinking about network simplification

While there are standard vector polygon aggregation approaches, there would appear to be fewer for line vector

Here is an approach that uses skeletonization of a raster buffer to aggregate lines https://github.com/anisotropi4/arctic-tern

Example Edinburgh Princes Street with a simplified, primal and extended network

Currently lines are frizzy and will require post processing

#datavisualization #network #simplification

Automatic Generation of Visualizations and Infographics with LLMs 🚀🚀🚀

Microsoft released this cool application for creating data visualization with a language model - LIDA. The tool enables the creation of data visualization with the use of prompts. Demo available here 👇

https://vimeo.com/820968433

➡ Installation:
pip install lida

Resources 📚
Documenation: https://microsoft.github.io/lida/
Code: https://github.com/microsoft/lida

#llm #datascience #dataviz #datavisualization

📊 Microsoft presenta #Python in #Excel: un engine per l'analisi dei dati integrato direttamente nel foglio di calcolo.
🧠 Per piccole analisi e per la visualizzazione dei dati si tratta di uno strumento potente e a disposizione di tutti.

#AI #MachineLearning #DataAnalysis #DataVisualization

https://www.linkedin.com/posts/alessiopomaro_microsoft-python-excel-activity-7100442072523902976-yiYy

Working with some colleagues on a simple project to showing Berlin's water consumption as the local lakes capacity overshoot. Will post a demo soon and ask for feedback! #Threejs #datavisualization