Lmst

Pour le plaisir des yeux (et du neurone) #Mapping #DataVizualisation

Couverture du livre /Cartographie des réseaux - L'art de représenter la complexité / de Manuel Lima, chez Eyrolles

4e de couverture, avec résumé du contenu, bio. de l'auteur — et son site visualcomplexity.com — et citation : « Manuel Lima pourrait bien devenir le Edward Tufte du XXIe siècle » (Creativity).

Illustration extraite de l'ouvrage représentant le trafic routier à Lisbonne.

October is just stating and perhaps it is a good opportunity to learn something new. Maybe you are interested
#DataScience, #Analytics, #MachineLearning #ArtificialIntelligence or perhaps #Statistics or #DataVizualisation?
If so you can get a 20% discount with Routledge and CRC Press on my books (as well as others). Take a look.

https://lnkd.in/ey6vE27w

these are the plans for "moving forward" this interesting project. #Ukraine #webarchiv #researchdata #datavizualisation #LIBER2023

The new course in my master's program for January 2nd just unlocked on Canvas. This will be the midway marker for my degree and will result in a graduate certificate in data analytics at the end of this particular course. We're covering data visualization and reporting with Tableau, though I'm going to try to do some of it with permission in Power BI.

#datavis #datavizualisation #graduateschool #tableau #powerbi

:python: :kubernetes: :gitlab: Yihaa! Just finished a succesfull meeting pitching a dashboard with steering information instead of a monthly set of excell to be ploughed through by the management team! #datavizualisation #python #EBS #OracleAnalyticsServer

Salut à toutes et tous,

Qu'utilisez vous pour représenter en camemberts, diagrammes ou autres des résultats de requêtes depuis des donnés d'ElasticSearch? Je cherche une solution directe sans passer par une extraction puis copier-coller vers une appli qui fait des graphiques...

Merci par avance.

#digitalhumanity #digipres #ElasticSearch #json #datavizualisation

A simple plot for this week's #TidyTuesday hiding lots of messy data wrangling in the background! I calculated the change in estimated number of open museums in areas with different levels of deprivation 🏛️🏛️🏛️

Code: https://github.com/nrennie/tidytuesday/tree/main/2022/2022-11-22

#RStats #R4DS #DataViz #DataVisualisation #DataVizualisation

Small multiple plots showing the percentage change in the estimated number of open museums in the UK since 1960, split by deprivation index. Fewer museums are shown in areas with higher deprivation.

For the "minimal" prompt on #Day16 of the #30DayMapChallenge, can you guess which city this is just from the road network around it?

Code: https://github.com/nrennie/30DayMapChallenge/blob/main/2022/scripts/16_minimal.R

#RStats #15MinuteMaps #DataViz #DataVisualisation #DataVizualisation #Mapstodon #Maps

Black background. Title in white reading "which city is this?". The map in the middle is minimal containing only white lines showing the road network of a city.

A thread about this week’s #TidyTuesday data on page metrics: recreating graphics using #RStats and detecting changes in time series data! To start off with, for this week’s data about page metrics, I recreated the graphic in this article [https://blog.datawrapper.de/why-web-pages-can-have-a-size-problem/](https://blog.datawrapper.de/why-web-pages-can-have-a-size-problem/) 🧵

#DataViz #R4DS #DataVisualisation #DataVizualisation #Statistics

Line chart showing average page weight for mobile and desktop sites from 2011 and 2022. Both lines show a strong increase over time.

It's #Day13 of the #30DayMapChallenge and the theme is "5 minutes" - so how far can you get from Oxford Train Station in 5 minutes?

Code: https://github.com/nrennie/30DayMapChallenge/blob/main/2022/scripts/13_five_minutes.R

#RStats #15MinuteMaps #DataViz #Mapstodon #DataVisualisation #DataVizualisation #Spatial

Map of Oxford centered on Oxford train station. Shaded areas show how far you can travel by car, by bike, or on foot from the station in 5 minutes. Most of the area is to the south and west of the station.

Inspired by Calle Börstell to make something akin to radio dials for this week's #TidyTuesday dataset on radio stations in the USA!

Thanks to Frank Hull and Erin for the data this week!

Code: https://github.com/nrennie/tidytuesday/tree/main/2022/2022-11-08

#rstats #r4ds #DataViz #DataVisualisation #DataVizualisation

A grid showing the United States titled Religious Radio in the USA. Each grid element contains a pie chart where the main colour of the pie chart and the size of the black segment represent the proportion of radio stations in the United States whose format description contains the word religion or religious. Montana and New Jersey are significantly darker than other states (representing higher proportions).

@thegradient Hello! I'm a #DataScientist and #DataVizualisation enthusiast. I'm currently taking part in the #30DayMapChallenge and remastering my undergrad thesis to be a part of my #Data portfolio.

The "making of" in #ggplot2 recorded with {camcorder}!

YouTube: https://youtube.com/shorts/Z0b7cZJWSDM

#RStats #DataViz #r4ds #GBBO #DataVisualistion #TidyTuesday #DataScience #DataVizualisation

Inspired by Cara Thompson
to make some cakes for this week's #TidyTuesday using Great British Bake Off data! 🍰 🍰 🍰 The {bakeoff} R package is awesome!

Code: https://github.com/nrennie/tidytuesday/tree/main/2022/2022-10-25

#RStats #DataViz #r4ds #GBBO #DataVisualistion #ggplot2 #DataScience #DataVizualisation

Nicht nur 2018 war voll mit spontanvagabundierenden Daten: https://informationisbeautiful.net/visualizations/worlds-biggest-data-breaches-hacks/ #datavizualisation

RT @hernandezguell@twitter.com: Course content from the Knight Center for Journalism in the America's massive open online course (MOOC) "Data Visualization for Storytelling and Discovery." #storytelling #datavizualisation

https://journalismcourses.org/data-viz-course-material.html

🐦🔗: https://twitter.com/hernandezguell/status/1033669058821013504

#datavizualisation

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