#DataViz
Some 42 (-4) counties ≥ 100% capacity per HHS data.
Reporting ≥ 90%: 192 (+2)—near 8% of those with any capacity. This includes surge and overflow beds: near full can mean E/Rs with day-long wait times.
For counties w/ ICUs—near one in six are full or near full.
❖ #ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis
![Map: Adult Hospital & ICU Capacity by County
Data: U.S. Dept of Health & Human Services, American National Standards Institute
As of: Sept 16, 2023
[ beadsland on Ko-fi ]
Shows a color scale of 7-day average adult inpatient beds occupied over 7-day average adult inpatient beds staffed for 48 contiguous states only. Scale runs from black (well over 140%), to purple (120%), to red (80%), to orange (50%), to yellow (10%). Counties for which no hospitals/beds are reported are represented by colored hatch marks, reflecting state-level reported capacity.
Patterns of black circles represent counties where adult ICUs are near full; circles are filled in where adult ICUs are entirely full. Sparse grey dots show areas where no ICU beds are reported.
Most of the map is dark red-orange, with splotches of lighter orange-yellow in the interior, mostly in the Rockies. Black indicators heavily pepper the map.](https://assets.toot.cafe/cache/media_attachments/files/111/145/596/699/999/292/small/1e71544b39f85d7c.jpg)
What do we think about this double use of an axis with two units (% and megatonnes)?
Genius or outrageous?
The interactive globe section is also pretty neat.
The David Rumsey Map Collection, a home to tens of thousands of historical maps, now lets you search the collection by the text in the maps.
Via https://flowingdata.com/2023/09/28/search-the-text-in-historical-maps/
A map of Data Visualization — types of visuals, software, associated skills, and a selection of books across the topic #DataViz
#RealTime #Tokyo #Metro Trains app built with the #ArcGIS SDK for #Javascript by Sajit Thomas, #Esri https://tinyurl.com/yc5vm6jv
#IoT #dataviz #3D #DigitalTwin #SmartCities #location #spatial #intelligence #transportation #Japan #developers #GIS #mapping #esrijs #geodev #esridev #GISchat #geospatial #mapstodon
Reordering boxplots in R is a simple and effective way to improve the visualization of your data. We encourage readers to try these examples on their own and experiment with different datasets and custom functions.
#r #rstats #boxplot #vizualization #dataviz
Post: https://www.spsanderson.com/steveondata/posts/2023-09-28/
Mei! Wat, würd' isch gerne Datenpunkte zu solchen Themen über die Zeit aufgetragen sehen: #DataViz #DataViz
- https://www.tagesschau.de/wirtschaft/unternehmen/tesla-gruenheide-arbeitsunfaelle-umwelt-100.html
- https://www.tagesschau.de/wirtschaft/konjunktur/konjunktur-222.html
Und wenn's nur wäre, um den #CoVIDisNotOver-Effekt _ausschließen_ zu können: https://github.com/gittaca/EUbersterblichkeit#readme
Blog post about a new #nodegoat Guide: Use any @IIIF Published Map as a Background in your Geographic Visualisations
Thanks to the Allmaps (https://allmaps.org) project, it is now possible to use any map that has been published as a #IIIF image as a background map in your geographic data visualisations in #nodegoat.
#digitalhistory #histodons #maps #DigitalHumanities #dataviz @histodons
#HowToThing #018 — Topological sorting, creating, querying and visualizing a task dependency graph using https://thi.ng/dgraph, https://thi.ng/dot & https://graphviz.org
Dependency graphs are super useful tools for a variety of use cases. Some examples:
Code generation/transpilation, e.g. used to emit code in correct order, detect cyclic references and to avoid duplicate definitions:
https://thi.ng/shader-ast
https://thi.ng/wasm-api-bindgen
Analyzing and visualizing project dependencies (not mobile friendly!): http://dependencies.thi.ng/
Visualizing reactive dataflow graph topologies:
https://github.com/thi-ng/umbrella/blob/develop/packages/rstream-query/README.md#visualizing-a-querys-dataflow-topology
Visualizing dispatch value hierarchies/relationships for polymorphic functions:
https://github.com/thi-ng/umbrella/blob/develop/packages/defmulti/README.md#dispatch-value-graph-visualization
Source code:
https://gist.github.com/postspectacular/4270801b1ffa98b381843ada4c59b0cb
If you have any questions about this topic or packages used here, please reply here or use the discussion forum (or issue tracker):
https://github.com/thi-ng/umbrella/discussions
#ThingUmbrella #Graph #GraphViz #DataViz #DataStructure #TypeScript #JavaScript #Tutorial
This pie chart could've been a bar graph. #DataViz #dataVisualization
A problem with the Bloomberg #dataviz: You should NOT represent *net* additions with individual icons. A net addition is not an individual, it may be 100 out and 101 in.
Some 233 (+5) counties have pediatric care near or over capacity (≥ 90%).
Of 269 (+1) counties reporting any PICU capacity, over one in five are near or over full.
So many places where there ain't enough staff for sick or injured kids to receive required care.
❖ #ThisIsOurPolio #pediatric #hospitals #pedsICU #RSV #Strep #Flu #LongCovidKids #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #dataviz
We clearly need more 🤬 bleepable 🤬 datasets for #TidyTuesday. This one has been EXTREMELY popular. Thanks, @deepsha !
#RStats #PyData #DataViz
Latin Cultural Organizations Map
Source: https://data.cityofnewyork.us/d/i6bk-bwyv
#nyc #data #dataviz
If you're not being challenged, you aren't getting better.
I'm feeling like an entry-level with some of the BI stuff I'm working on. It's like I don't know what I'm doing and I'm frustrated and have dozens of tabs open doing research.
But I'm learning and there's probably a bit of imposter syndrome because I've made some awesome stuff already.
#TidyTuesday week 39 - Roy Kent F**K Count. How many F-Bombs has he dropped in all seasons? Thanks to @deepsha for the fun little dataset.
#Rstats #dataviz
Learn to enhance your data visualizations using Base R! Overlay points and lines on plots to make your data pop. Experiment, customize, and captivate your audience with stunning visuals. Try it yourself and share your creations! #DataViz #BaseR
Post: https://www.spsanderson.com/steveondata/posts/2023-09-27/
#TidyTuesday Week 39: Exploring Roy Kent's F-Count by Season: A Rain Cloud Perspective and a Treemap of Roy Kent's F-Score by Season. Check out this data-driven journey through Ted Lasso seasons! 🚀
Code: https://bit.ly/3Pxd9zs
#DataViz #TedLasso #RoyKent #RStats #r4ds
#TidyTuesday week 39: Roy Kent F**k Count 🤬
⚠️ Graphic contains explicit language!
The number of f-bombs unleashed by Roy Kent in Ted Lasso by season.
Sorry - I guess I'm just not as polite as others!
🔗 github.com/doehm/tidytues
Forestry Planting Spaces
Source: https://data.cityofnewyork.us/d/4jyz-6b7u
#nyc #data #dataviz
This is a terrible analysis, described ridiculously and irresponsibly, with very cool graphics. https://www.bloomberg.com/graphics/2023-black-lives-matter-equal-opportunity-corporate-diversity/
#DEI #dataviz #racism
From the late 1670's comes a great "strip" map by John Ogilby. Here, to get from Presteigne to Carmathen, in Wales it's a practical method to keep one on the correct route to a destination, reference landmarks & stay on the route.
It's interesting that when automobiles became popular, early roads atlases used this same route method to get drivers to their next destination, by identifying landmarks and keeping them on a solitary path.
Projects in Construction Map
Source: https://data.cityofnewyork.us/d/dzgh-ja44
#nyc #data #dataviz
Pediatric staffing never recovered to pre-omicron levels. Rather, near one in five pediatric beds reported May of 2022: now missing. (There's been a very slight recovery in recent weeks.)
PICU Capacity Level (not shown): 68%.
Weekly average ~150 PICU beds were covid patients.
We're failing our kids. The emergency is over.
❖ #ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis
[#billet #dataviz] Saviez-vous qu'il existait un identifiant #FranceArchives Agent sur #Wikidata ? Après une grosse mise à jour cet été (🌧️ ), il y a désormais + de 19000 éléments #Wikidata avec identifiant FranceArchives Agent (P9371).
➡️ Billet, méthodo et #visualisations #SPARQL des "gens (indexés) dans les #archives françaises" : https://patrimoine-et-numerique.fr/data-visualisations/83-des-gens-dans-les-archives-a-propos-de-l-identifiant-francearchives-agent-sur-wikidata
(#webscrapper #httracker #openrefine
#archives #LOD #inventaires #patrimoine #websemantique #histoire
@geneafr @archivistodon
Congratulations to our colleagues from QuantumBlack, AI by McKinsey for open sourcing Vizro, a dashboarding library built on top of Plotly 👏🏼 https://medium.com/@mckinseydigital/introducing-vizro-a-toolkit-for-creating-modular-data-visualization-applications-ec9ca2207f0d
Repository: https://github.com/mckinsey/vizro/
Capacity Level has been elevated since independence from the virus was declared two summers ago—as fewer and fewer professionals are available to staff hospital beds.
Critical Staffing Level, already at 2021 levels, has been further elevated for months now—with over one in nine reporting hospitals at critical shortage.
❖ #ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis
![Chart: Hospital Capacity: United States
Data: U.S. Dept. of Health & Human Services
[ beadsland on Ko-fi ]
Stacked area chart of daily 7-day averages for Unoccupied Beds, Non-Covid Beds, and Acute Covid Beds, for the period from August 2020 through September 16, 2023.
Hash marks overlay bottom of each stacked area—indicating ICU beds. Dotted lines indicate historical and current Hospitals Surveyed (85%), Hospital Capacity Level (75%) and Critical Staffing Level (12%). First has fallen off as psychiatric and rehabilitation hospitals have gone to once-annual reporting; second is the ratio of total occupied beds to total staffed beds, nationally; last the ratio of hospitals reporting critical staffing shortages as a share of those that answered said question either 'yes' or 'no'.
From October 2020 forward, top of the total stack trends downward. A diagonal notation along the top edge reads: "Reported staffed beds have been declining on average ~800 a week for ~2 8⁄₉ years." [There's been a slight recovery in recent weeks.]](https://assets.toot.cafe/cache/media_attachments/files/111/132/594/514/149/279/small/801b52c9d3012dfa.jpg)
A tool that lets you more accurately compare two areas, appropriately scaled, on a single map, side by side.
Via https://flowingdata.com/2023/09/26/two-maps-with-the-same-scale/.
#TidyTuesday | Week 39 | Roy Kent F**k count
If there's a season 4, watch out! The trend is going up.
code: https://github.com/curatedmess/TidyTuesday/blob/main/2023/09262023/kent.R
It's #TidyTuesday y'all! Show us what you made on our Slack at https://r4ds.io/join (find the #chat-tidytuesday channel)!
RT @jonthegeek https://fosstodon.org/@jonthegeek/111126027712361401
#RStats #DataViz #PyData #tidyverse #r4ds
Please consider a tax-deductible donation at https://r4ds.io/donate to support our work!
📊🚀 Unlock the Power of Data Visualization with ggplot2's facet_wrap() 🚀📊
I encourage you to dive into ggplot2 and `facet_wrap()`. Experiment with your own data to reveal patterns, insights, and stories.
Embrace the world of data visualization, and let your data tell its story! 💬📊
#DataViz #RProgramming #ggplot2 #DataScience
Post: https://www.spsanderson.com/steveondata/posts/2023-09-26/
Looking for the larger set of colours that can be (quite) easily distinguished on a graphic computer interface ( #dataviz ) .
I currently use a palette of 16 colours, but it is a bit too small and I bet some of them could be confused with each other.
Any clue?
Hey I'm giving an online talk next week for the Pelagios Visualisation group at the British Library.
I'll be talking about "Visualising Lively Data" - sharing projects and WIP working with biodiversity data (like Local Kin, pictured).
It's 11am (UK) on the 5th October. Register for a Zoom link at https://forms.gle/uLjeVSe2b9tyyXND8
The @R4DSCommunity welcomes you to week 39 of #TidyTuesday! We're exploring Roy Kent F**k count!
📁 https://tidytues.day/2023/2023-09-26
📰 https://deepshamenghani.github.io/posit_plotly_crosstalk/#/title-slide
#RStats #DataViz #PyData #tidyverse #r4ds
Please consider a tax-deductible donation at https://r4ds.io/donate to support our work!
#Dataviz conference: dear #datafam, who will be attending #infoplus2023?
You only have 1 week left to benefit from the early bird prices for the @InfoPlusConf happening between 22nd – 24th November in Edinburgh, UK. https://informationplusconference.com/2023/#registration
Latin Cultural Organizations Map
Source: https://data.cityofnewyork.us/d/i6bk-bwyv
#nyc #data #dataviz
Loved this visualisation as part of an exhibition on ‘How to Build a Low-Carbon. Clay, concrete and steel are some of the most widely used building materials, but they are much higher in embodied carbon – a large amount of energy is required to make them.
Thought the chart was great. Even has a discontinued y-axis, although the unit maybe isn’t that clear 😁
Exhibition is free in the London Design Museum https://designmuseum.org/exhibitions/how-to-build-a-low-carbon-home
a few queries for #dataviz people:
1) would you say that dataviz includes/subsumes visualizations (and/or animations) of mathematical proofs and theoretical models?
1a) if so, would you say that people doing that kind of work are in the minority, or that that work is marginalized/underfunded compared to [empirically-collected data]-viz?
2) is there another term or sub-area descriptor that better identifies the [proofs-theories-models]-viz community?
(boosts welcome)
NEW: This piece about northern lights activity, why there's more of it during the fall equinox and why there will be more this coming year. #dataViz #equinox #northernLights https://www.nbcnews.com/data-graphics/northern-lights-forecast-diagram-graphic-2024-rcna99053
I have #3D data. I want to project to a plane, but not one of the 3 cardinal planes
I've solved this before and I can do this, no problem
The issue is that I get an "image plane" that is oriented in some weird way in 3D space
I need to put that onto a simple xy plot
I need to rotate the image plane...I guess
Local 18yo #math nerd was like "seems easy to just interpolate between the corners"
I can KIND OF see they mean, but I'm not fully grokking it
Am I dumb or simply hungry?
Check out these gorgeous smooth 3D polygon bevels, rendered entirely in R with rayrender and generated using my new package from an {sf} object in a few lines of code (this is just passing in spData::us_states). Interested?😀
npmgraph is a great visualizer of Npm package dependency graphs: https://npmgraph.js.org/?q=eslint-plugin-react Very informative to see the sometimes surprising amount of indirect baggage you're pulling in with each direct dependency.
Discovered via https://toot.cafe/@paul_irish/111105444105855063. Thanks! #javascript #nodejs #dataviz
Some 46 (+5) counties ≥ 100% capacity per HHS data.
Reporting ≥ 90%: 190 (-6)—over 8⁷⁄₈% of those with any capacity. This includes surge and overflow beds: near full can mean E/Rs with day-long wait times.
For counties w/ ICUs—near one in six are full or near full.
❖ #ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis
![Map: Adult Hospital & ICU Capacity by County
Data: U.S. Dept of Health & Human Services, American National Standards Institute
As of: Sept 9, 2023
[ beadsland on Ko-fi ]
Shows a color scale of 7-day average adult inpatient beds occupied over 7-day average adult inpatient beds staffed for 48 contiguous states only. Scale runs from black (well over 140%), to purple (120%), to red (80%), to orange (50%), to yellow (10%). Counties for which no hospitals/beds are reported are represented by colored hatch marks, reflecting state-level reported capacity.
Patterns of black circles represent counties where adult ICUs are near full; circles are filled in where adult ICUs are entirely full. Sparse grey dots show areas where no ICU beds are reported.
Most of the map is dark red-orange, with splotches of lighter orange-yellow in the interior, mostly in the Rockies. Black indicators heavily pepper the map.](https://assets.toot.cafe/cache/media_attachments/files/111/105/531/082/270/626/small/ea769799b0b7019a.jpg)
Some 228 (+3) counties have pediatric care near or over capacity (≥ 90%).
Of 268 (+11) counties reporting any PICU capacity, near one in five are near or over full.
So many places where there ain't enough staff for sick or injured kids to receive required care.
❖ #ThisIsOurPolio #pediatric #hospitals #pedsICU #RSV #Strep #Flu #LongCovidKids #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #dataviz
As climate disasters drive home insurers to exit markets, many Americans already face rising premiums and lowered home values. Tens of millions more could join them. #climateChange #dataViz
https://www.nbcnews.com/data-graphics/map-new-data-climate-change-homeowners-insurance-rcna105632
My apparent New Jersey series continues with a road, rail, and aviation noise map of New Jersey. Unsurprisingly, the highest levels of noise occur around airports and major highways.
@kellybodwin @emilhvitfeldt @gws @drob @hglanz
What did I do wrong?
😄 #RStats #DataViz #r4ds #ggplot2 #positconf2023 #positconf #TidyTuesday
#ESL faculty are tasked with supporting one of the most vulnerable student populations and end up with higher workloads per credit and student taught yet are paid according to the same schedules as other departments who are able to routinely take on overloads and extra paid work.I don't know of any other departments who need to administer their own placement tests, take the time to teach students how to use the college's email system or to type on a keyboard. #TESOL #highered #dataviz
#TidyTuesday Week 38: The top 20 R package authors and their "Hadley Numbers" in the CRAN collaboration graph! 🚀 Explore the key players in the R project package development community. 🔍📦 #RStats #DataViz #r4ds #ggplot2 #positconf2023 #positconf
Code: https://bit.ly/3rdr5GO
Pediatric staffing never recovered to pre-omicron levels. Rather, near one in five pediatric beds reported May of 2022: now missing. (There's been a very slight recovery in recent weeks.)
PICU Capacity Level (not shown): 67%.
Weekly average ~120 PICU beds were covid patients.
We're failing our kids. The emergency is over.
❖ #ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis
Capacity Level has been elevated since independence from the virus was declared two summers ago—as fewer and fewer professionals are available to staff hospital beds.
Critical Staffing Level, already at 2021 levels, has been further elevated for months now—with over one in nine reporting hospitals at critical shortage.
❖ #ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis
![Chart: Hospital Capacity: United States
Data: U.S. Dept. of Health & Human Services
[ beadsland on Ko-fi ]
Stacked area chart of daily 7-day averages for Unoccupied Beds, Non-Covid Beds, and Acute Covid Beds, for the period from August 2020 through September 9, 2023.
Hash marks overlay bottom of each stacked area—indicating ICU beds. Dotted lines indicate historical and current Hospitals Surveyed (85%), Hospital Capacity Level (74%) and Critical Staffing Level (12%). First has fallen off as psychiatric and rehabilitation hospitals have gone to once-annual reporting; second is the ratio of total occupied beds to total staffed beds, nationally; last the ratio of hospitals reporting critical staffing shortages as a share of those that answered said question either 'yes' or 'no'.
From October 2020 forward, top of the total stack trends downward. A diagonal notation along the top edge reads: "Reported staffed beds have been declining on average ~830 a week for ~2 6⁄₇ years."](https://assets.toot.cafe/cache/media_attachments/files/111/093/901/459/970/758/small/fce71a76630f2b2b.jpg)
How is the #JoeBiden administration working for everyday Americans? Have you wondered how all that money from the American Rescue Plan, Bipartisan Infrastructure Law, CHIPS and Science Act, and Inflation Reduction Act is being invested? At https://invest.gov there's an interactive map that illustrates the impact of these public and private investments.
@TapiocaPearl This might also be interesting: https://stefanbohacek.com/blog/analyzing-the-registration-date-of-7925-fediverse-domains/
#Design #Evolutions
Has data storytelling reached its peak? · The present state of data storytelling and its future direction https://ilo.im/158ig0
_____
#ProductDesign #UxDesign #UiDesign #WebDesign #StoryTelling #Dashboards #DataViz #Trends
Map inspiration // Kartinspirasjon.
Roberto Burle Marx — Design for mineral roof garden, Banco Safra headquarters, São Paulo, 1983.
Image credit:
© Burle Marx Landscape Design Studio, Rio de Janeiro. Photograph by Cesar Barreto.
New paper! "The Sound of Water: sensing a wetland intervention through interactive environmental audio" just out in cultural geographies: reflecting on making an audiovisual environmental data-story.
A joy to work with collaborators Skye Wassens and Adrian Mackenzie on this. This article will be part of a "Digital Ecologies" special issue coming soon 👀
https://journals.sagepub.com/doi/full/10.1177/14744740231197813
#ecoacoustics #dataviz #scrollytelling #morethanhuman #wetlands
Do you know about the #LittlePictures for #Climate #dataviz competition?
Check out the gallery and it will maybe inspire you to submit your idea.
https://climate.esa.int/en/littlepicturescompetition/
Below are two examples for #seaice
#DataVisualisation / #DataViz picks of the day:
➡️ @didoesdigital - Data viz engineer & author in Australia
➡️ @yotka - Data viz designer, background in social sciences
➡️ @kpfssport - Sports-related data viz
➡️ @janeadams - Data viz researcher interested in XAI & genomics
➡️ @wnd - Data Viz coder, works on railway IT
➡️ @Biff_Bruise - Principal Consultant in data viz, keen cyclist, former rocket scientist
1/2
I recently read a blog post (https://charts.substack.com/p/typewriter-chartography) from @infowetrust about creating maps using a typewriter, and so naturally wanted to see whether {ggplot2} could do something similar.
So here's a "typography cartography" elevation map of Scotland, created using only the letters l, I, H, and M!
A 3D path traced choropleth map of income inequality (measured using the Gini index) in New Jersey by census tract.
#TIL about "Evidence" a #BI #OpenSource tool, that works using #LiterateProgramming (à la #Rmarkdown, #Quarto, or #Observable). It allows the creation of #dataviz mixing #Markdown with specific data extraction and visualization section.
More details at https://evidence.dev/
Elevate your data visualizations in R with colorful histograms! Learn how to add vibrant colors to your charts and tell compelling data stories. Experiment, create, and share your insights today! #DataViz #RStats 📊🌈
Post: https://www.spsanderson.com/steveondata/posts/2023-09-14/