ramikrispin, (edited ) to datascience
@ramikrispin@mstdn.social avatar

(1/3) Data Visualization with Makie - Julia 🚀👇🏼

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.

Image credit: Beautiful Makie by Lazaro Alonso

#DataScience #dataviz #datavisualization #data #julialang

ZLabe, to SciComm

My next monthly visualization blog is posted which discusses our new studies on summertime temperatures in the United States using a climate graphic of mini temperature maps organized by decade: https://zacklabe.com/climate-viz-of-the-month/

#SciComm #OpenScience #OpenData #DataViz

oatmeal, to journalism

/ Mona Chalabi on storytelling, the power of data, and covering Palestine

Mona Chalabi is a data journalist known for creating insightful visualizations and infographics, often focused on highlighting social issues and marginalization. She recently won a Pulitzer Prize for her reporting. Much of her recent work has been devoted to spreading awareness about the situation in Palestine through data visualizations, using imagery and statistics about casualties, violence, and human impact. Chalabi says she has experienced some loss in followers and visibility for her posts, which she attributes to the controversial/sensitive nature of the topic and deeply entrenched biases about Palestinian narratives.

https://www.theverge.com/24093294/mona-chalabi-interview-palestine-gaza-data-viz

@palestine



image/png
image/png

stefan, to music
@stefan@stefanbohacek.online avatar
ritagiordano, to accessibility

"{viridis} is an R package that presents colour-blind friendly palettes. It improves the graph readability. The advantage of {viridis} is that the palettes are perceptually uniform, easy to print in greyscale and colour-blind friendly. To use the {viridis} in ggplot2 simply ass:
📊 scale_colour_d()
In the slope graphs I generated in this example, I simply added the function above. The image shows four possible {viridis} palettes.
#rstats #accessibility #ggplot2 #dataviz

stefan, (edited ) to fediverse
@stefan@stefanbohacek.online avatar

Results of the same poll posted a year apart asking people about making donations to fediverse admins.

2023: https://stefanbohacek.online/@stefan/110306418229085517
2024: https://stefanbohacek.online/@stefan/112026655558298375

WebAxe, to accessibility
@WebAxe@a11y.info avatar
ZLabe, to worldwithoutus

My #Arctic sea-ice thickness and volume graphics are updated for February 2024: https://zacklabe.com/arctic-sea-ice-volumethickness/ #SciComm #DataViz #OpenScience #OpenData

kristin_baumann, to svelte

Du Bois Data Visualization Society Challenge - Week 5/10: My recreation of Du Bois' poster no. 13, done with D3, Svelte. Added a pattern fill to match the hand-painted look & transitions on load.

Live Version: https://du-bois-challenge-2024.kristin-baumann.com/#challenge5

Github: https://github.com/kristinbaumann/du-bois-challenge-2024

bkeegan, to Colorado
@bkeegan@hci.social avatar

Exploratory data analysis of the age structure forecasts for counties.

Each line is a county's annual population estimate. x-axis is the population ages 0-20 and y-axis is population ages 60-100.

All the counties are moving from the bottom right (more young than old) to the upper left (more old than young).

sreedevkkumar, to india
@sreedevkkumar@journa.host avatar

Indians are highly satisfied with their democracy, and at the same time show great support for rule by an autocratic 'strong leader'. On one hand they show high approval for a direct democracy, on the other they support rule by technocrats. Here's a look at India's political complexity using 3 scatter plot charts based on Pew's latest survey.

Read online (HT app only): https://www.hindustantimes.com/india-news/number-theory-a-look-at-the-complexity-of-indias-politics-in-3-charts-101709260484673.html

#MastIndia #India #PewResearchCenter #Politics #Data #DataViz @mastodonindians

Jaydpauley, to NFL

366 lb DL, T'Vondre Sweat, just ran a 5.27 40-Yd. This type of speed is consistent with someone who is nearly 30 lbs lighter than he is. I plotted his 40 time and weight against last years complete list of combine participants. #nfl #nflcombine #dataviz

oldmapgallery, to maps
@oldmapgallery@sciencemastodon.com avatar

Find your hometown on Pangea, but don't stop there, look at it during the Cretaceous, or once the first primates appeared... so fun...

https://dinosaurpictures.org/ancient-earth#470

R4DSCommunity, to datascience

Upcoming book clubs:

Today:
:rstats: https://r4ds.io/islr
:rstats: https://r4ds.io/rpkgs

Tomorrow:
:rstats: https://r4ds.io/deepr

Join our Slack at https://r4ds.io/join to learn more!

Check out all club meetings at https://r4ds.io/youtube

mikebrondbjerg, to generative

Good weekend of work. 6x9 set of d4 dice generated numbers translated into 54x3cm red triangles. The 216x1.5cm black triangles are the same d4 numbers set symmetrically over the red pattern.

ramikrispin, to javascript
@ramikrispin@mstdn.social avatar

(1/3) Dashboards with Observable Framework 🚀

The #Observable Framework is a new #JavaScript library for building dashboards. It looks super awesome!

Here are the key features:
✅ It enables the building of the dashboard front-end with JS and the use of any other language on the back-end to process the data, such as #Rstats, #Python, #SQL, etc. This is an amazing feature that enables you to bring the beauty and strengths of JS while processing your data with a more friendly framework

🧵 ⬇️

ramikrispin,
@ramikrispin@mstdn.social avatar

(2/3) Key features
✅ It provides a local development server where you can test your code side-by-side with the output
✅ It compiles Markdown, JavaScript, and other sources and static assets
✅ Can be deployed as a static site (did not test yet, but I believe it can be deployed into Github Pages) or deployed directly to Observable

#Observable #JavaScript #DataScience #datavisualization #dataviz

ZLabe, to SciComm
kristin_baumann, to svelte

Du Bois Data Visualization Society Challenge - Week 3 of 10:

My recreation of Du Bois' poster no. 19, again implemented with D3 and Svelte, with transitions on load and hover interactions.

Live Version: https://du-bois-challenge-2024.kristin-baumann.com/#challenge3

Github: https://github.com/kristinbaumann/du-bois-challenge-2024

video/mp4

kristinHenry, to random
@kristinHenry@vis.social avatar

Hey vis.social folks!

Why do we try to maintain our Local Timeline as on-topic?

There are so many reasons. But one big one is that our Local Timeline is what other folks see when they are checking out if they'd like to join our community or not.

We are a topic-based instance, so when our Local Timeline is all over the place and there's no Data Viz or Art or any Creative process...What are potential community member supposed to make of this?

--vis.social moderation team

#visSocialTips

DataAngler,
@DataAngler@vis.social avatar

@kristinHenry I think it means that we are a community who works in data-visualization related fields or who has an interest in data visualization (or artistic productions in various visual mediums). But we also have other interests. I've often wondered if maybe this shouldn't be my instance due to the fact that I don't post on #dataviz exclusively...

ZLabe, to worldwithoutus

My #Arctic sea-ice thickness and volume graphics are finally updated for January 2024: https://zacklabe.com/arctic-sea-ice-volumethickness/ #SciComm #DataViz #OpenScience #OpenData

mikebrondbjerg, to generative

This one took a bit of work, but really like the quilting feel of it. Took my earlier #Generative #linocut and added half size stippled black triangles. Rotation of the stippled triangles also set by the roll of a d4. #GenerativeDice #dataart #dataviz

ZLabe, to climate

All of my 'climate viz of the month' blog posts from last year are now compiled together at https://zacklabe.com/blog-archive-2023/.

sreedevkkumar, to india
@sreedevkkumar@journa.host avatar

On paper, the BJP now has a coalition with the two largest regional parties in Maharashtra—Shiv Sena and NCP. But politics in the state is far from settled and the churn continues. What is the reason for this uncertainty? Today's tries to answer this question. Read online (HT app exclusive): https://www.hindustantimes.com/india-news/number-theory-the-political-black-box-that-is-maharashtra-101708314294632.html @mastodonindians

BJP has tried but it cannot win the state alone The biggest proof of this came in the 2014 assembly elections which were held months after the Lok Sabha polls. Both the NCP and the Shiv Sena contested on their own in these elections rather than allying with their traditional alliance partners, the Congress and the BJP. While the BJP did finish as the single largest party with 122 MLAs, it fell short of the half-way mark of 145 in the assembly and had to get into a post-poll alliance with the Shiv Sena to form a government. For the Congress, the situation was even more difficult as it was reduced to just 42 MLAs in the assembly, just one ahead of the NCP. 2014 was the not the first election in Maharashtra which destroyed any one party’s ambition to rule the state. No single party has managed to win a majority of its own in the state since 1990. This is what makes the support of either NCP or Shiv Sena crucial in Maharashtra’s politics. (Chart: Seat share of Shiv Sena & NCP in the Maharashtra assembly polls)
This is what made the MVA a big worry for the BJP The 2019 Maharashtra Assembly election was primarily fought between the alliance of BJP-Shiv Sena and Congress-NCP. However, after the declaration of results, the alliance between Uddhav Thackeray-led-Shiv Sena and the BJP broke down, with the Sena demanding its own chief minister rather than the BJP which was the senior partner in the alliance. What followed was a grand coalition of Congress-NCP-Shiv Sena, called Maha Vikas Aghadi (MVA) which formed the government with Thackeray as the Chief Minister. Data from 2014 assembly elections shows that Congress together with undivided Shiv Sena and NCP would have electorally been a formidable force. If the votes received by the three parties in 2014 were added up in each constituency, the Congress-NCP-Shiv Sena alliance would have won a total of 218 seats, way past the majority mark. Meanwhile, the BJP would have lost 60 seats it won originally from its tally. (Chart showing the 2014 assembly election results with and without adding votes garnered by INC-NCP-SHS together)
But the MVA was anything but a natural alliance To be sure, the Congress and NCP are not natural alliance partners of Shiv Sena, considering the latter’s stark difference in ideology. In fact, Shiv Sena have historically been anti-Congress until it broke its alliance with the BJP and formed the MVA. These ideological splits can also be seen in their performance in 2014 assembly election, when all the four parties contested elections on their own. The largest number of wins for each of them came against their ideological rivals, i.e. both Shiv Sena and BJP individually won most number of seats against Congress and NCP and vice versa. For example, out of the 41 seats that NCP won in 2014, 29 came against Shiv Sena (19) and the BJP (10). In the case of Shiv Sena, out of the 63 seats it won, as many as 34 came against its ideological rivals Congress (16) and NCP (18). The same trend could be seen for both Congress and the BJP as well. (Chart: Seats independently won against each party in the 2014 Maharashtra assembly elections) What next? Having dislodged the MVA from power with majority (and now officially recognized) factions of the NCP and the Shiv Sena behind it, the BJP would be hoping to enjoy a formidable alliance for its 2024 Lok Sabha and assembly battle. What remains to be seen is whether the official groups will enjoy the popularity they had or will it still rest with the founders of these two parties, namely the Thackerays and Sharad Pawar.

didoesdigital, to CSS

Why might an SVG shape rotate weirdly?

What is an annulus sector?

What happens when you apply an SVG attribute rotation and a CSS style rotation at the same time?

Where did that D3 arc go?!

All your hypothetical questions have been answered!

Rotating SVG paths: https://observablehq.com/@didoesdigital/rotating-svg-paths

#svg #css #DataViz

oldmapgallery, to space
@oldmapgallery@sciencemastodon.com avatar

From Samuel Dunn, (c. 1774), centered on the Sun with a notation about its black spots and how they "move from East to West", this is a state of the art depiction of our solar system as best as it was known at the time. Notes six planets and their moons, with Jupiter having 4 (now counted as 95 moons) and Saturn as having 5 (now totaled up to 146 moons).

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