What does your Spotify account say about your music taste?
I was curious – so I built a little app to find out. Using Python, Streamlit and Plotly, I visualised my top tracks, favourite genres and the release years of the songs I listen to most.

What you need:
Access to the Spotify Web API
A bit of Pandas for analysis
A few lines of code with Plotly
Streamlit to build and run the app

→ The result? A personal, interactive music year in review

I put together a step-by-step guide (beginner-friendly) including code, screenshots, and how to deploy the app on Streamlit Cloud.

Check out the full article here: bit.ly/3SF3VTw

#python #programming #technology #streamlit #spotify #Datavisualization #datascience #datascientist #opensource #api

Friends-Link: https://medium.com/data-science-collective/visualize-your-spotify-data-with-python-and-streamlit-4d4c46bbd39e?sk=12cb785242472daf6d77d024a90ad57c

Critical Data Study fresh from the press!

In this contribution to the latest special issue of the Swiss Journal of Sociology, I critically examine how Convolutional Neural Networks can be used to explore historical photo collections. In essence, the writing examines potentials and challenges of human-machine collaboration by juxtaposing human and machine ways of seeing. Clustering 48,000 negatives from the collection Ernst Brunner the analysis reveals how sociotechnical imaginaries in infrastructure act as an epistemological Trojan horse and emphasizes the need for thematic data sets to utilize machine-learning approaches for visual data analysis.

Open Access https://www.socio-journal.ch/article/view/6907

Thank you Sebastian W. Hoggenmüller for the great editing, to Kurt Fendt and Tobias Hodel for their critical remarks and to the anonymous reviewers who have given tough but constructive feedback.

From research prototype to production! This project began as a research idea during my internship with Ozette this time last year: what if we could create a chat interface for a single-cell phenotyping visual analytics dashboard, and actually have an agent *reconfigure the visualization for you*? One year later, after lots of testing, our system architecture is deployed in production Paper forthcoming! Read more: https://www.linkedin.com/posts/ozette_asgct2025-lifesciences-pharma-activity-7326304968980811776-aozr/

Predicting the extent of invasive Buffelgrass is important for its management. Travis Matlock, a runner-up in the @uazlibraries 2024 #DataVisualization Challenge, in collaboration with the USA NPN, created an informative map that tracks rainfall "events" over a 30-day period to forecast buffelgrass green-up 1–2 weeks in advance. Check out the map here: https://doi.org/10.25422/azu.data.25705419
Travis Matlock (2024). CC-BY 4.0. #OpenData #OpenScience #DataViz #buffelgrass #climatedata #UniversityofArizona

Headed to #CHI2025? Don't miss honorable mention paper "The Many Tendrils of the Octopus Map" by Eduardo Puerta & Shani Spivak (co-first-authors) and Michael Correll @Birdbassador - a retrospective analysis of these visual manifestations of conspiratorial thinking https://www.youtube.com/watch?v=AyqyTkog_yY

Mon, 28 Apr | 12:10 PM - 12:22 PM

@ACM @chi #HCI #DataVisualization #Maps #Mapstodon

Dive into a GRASS tutorial!

Discover how to create plots directly in GRASS using tools powered by the matplotlib library. No conversion needed! Visualize your raster, vector, and time series data effortlessly. Check it out and give it a try!

#Tutorial #DataVisualization #GRASS #GIS #Python #Matplotlib

https://grass-tutorials.osgeo.org/content/tutorials/good_looking_plots/good_looking_plots_in_grass.html
https://grass-tutorials.osgeo.org/content/tutorials/good_looking_plots/good_looking_plots_in_grass.html

Excel Tip of the Day! Did you know you can turn your data into a dynamic chart with just a few clicks? Select your dataset, go to Insert > Recommended Charts, and instantly visualize your insights! Perfect for presentations and analysis. #ExcelTips #DataVisualization #Productivity

The programme for the #bc2basel tutorials & workshops is out! From #geneexpression analysis to #machinelearning or #datavisualization, beginner or advanced: boost your #bioinformatics skills!

Register to make sure to secure your spot (limited seats): https://tinyurl.com/3y8ay2d6

Promising 4-year, fully-funded PhD position in Architecture and Data Visualization at TU Delft – explore sensor data, design impacts, and ecology.

Apply by 15 Apr 2025!

https://careers.tudelft.nl/job/Delft-PhD-Position-in-Architecture-and-Data-Visualization-2628-CD/814989002/

At the beginning of the year, the Federal Office of Topography published the swissTNE Base, which summarises all transport routes (rail, road, cable and water).

Having this data, you can't avoid the temptation to recreate @benfry beautiful 2010 work All Streets

Fastplotlib: Driving scientific discovery through data visualization

https://medium.com/@caitlin9165/fastplotlib-driving-scientific-discovery-through-data-visualization-418f8bff094c

Wrapping up the last day of #OpenEducationWeek2025, coinciding with #OpenDataDay! Using fantastic open data to create amazing and fun map designs.

Highlighting the course: Creating data visualisation with graphs, maps, and animations! Topics include:

Symbolizing Points by Varying Size

Creating Heatmaps

Creating Choropleth Maps

Visualizing Mesh Data

Creating Animations

Learn more here: https://courses.gisopencourseware.org/course/view.php?id=51

I'll be speaking at the #JMPDiscoverySummit next week. Let's dive into how JMP's cutting-edge statistical tools drive breakthroughs in green energy, pharmaceuticals, and high-tech. See you there!
#DataVisualization #Innovation

"Map of Python" is the digital dabbling of a cartographer, lost in the vast jungle of 500,000+ #Python packages, desperately trying to create art from JSON blobs. But hey, at least there's #BigQuery to save the day from the horror of actually downloading data!
https://fi-le.net/pypi/ #DataVisualization #Cartography #ArtInTech #HackerNews #ngated

https://www.europesays.com/1884592/ Courses to Learn Data Science Skills That Pay Over $100,000 #Data #DataScienceCourses #DataScienceSkills #DataVisualization #MachineLearning #python

'Inevitably, the students are left stunned by the monumentality of problems faced by post-conflict societies.'

Political science professor Josip Glaurdić ponders the advantages & pitfalls of #DataVisualization in peace & conflict studies focusing on South Eastern Europe on the #KonKoop DataLabBlog
https://konkoop.de/index.php/blog/datalab-blog-there-is-so-much-more-we-do-not-know-data-visualisation-in-peace-and-conflict-research/

Looking for a tool to create business and scientific charts in your Qt application? KD Chart offers stock charts, box & whisker charts, and the KD Gantt module for ODF Gantt charts. Discover more features on https://www.kdab.com/development-resources/qt-tools/kd-chart/ #QtDev #DataVisualization #Programming

#python #datavisualization #Dashboards #webapp #app
#business #technology #datascience #dataanalytics
#UI #graph

Low-Code PyGWalker UI in the Spotlight: Dynamic Data Visualization Like Tableau
Discover the Fastest-Evolving Python Graphing Library Across Different Interfaces

#exploremore

https://medium.com/@alexzap922/low-code-pygwalker-ui-in-the-spotlight-dynamic-data-visualization-like-tableau-a5c5e143e9ed?sk=885d16a41b3cf40d120519b7314f30f0

A deep dive into... #treemaps
by #DataVisualization Designer
Dieuwertje van Dijk

https://www.datylon.com/blog/treemap-chart-deep-dive

A treemap example with #bokeh

https://docs.bokeh.org/en/latest/docs/examples/topics/hierarchical/treemap.html

A treemap example with #plotly

https://python-graph-gallery.com/treemap/

Can we load #RDF data in #Gephi ?

An old project #Sparna developed in 2017 to convert RDF graphs into the #GEXF format has been updated on Github !

Read the post :
https://www.sparna.fr/en/posts/rdf2gephi-load-rdf-graphs-in-gephi

See the Git :
https://github.com/sparna-git/rdf2gephi

Watch the vid :
https://www.youtube.com/watch?v=A_YbxNapaBY