tidytuesday
Chart.js
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tidytuesday | Chart.js | |
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79 | 183 | |
6,380 | 63,425 | |
1.7% | 0.5% | |
8.4 | 7.8 | |
12 days ago | 20 days ago | |
HTML | JavaScript | |
Creative Commons Zero v1.0 Universal | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tidytuesday
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Recommendation for interesting datasets to work with?
TidyTuesday is a weekly data cleaning project where a new, interesting data source is linked to each week: https://github.com/rfordatascience/tidytuesday
- Rfordatascience/tidytuesday: Official repo for the tidytuesday project
- [OC] Tornados in the U.S. are becoming more frequent in off-peak months
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Too old to continue my education? I'm lost.
For R, I don't have specific resources, but I remember I started out with doing tidytuesdays challenge (https://github.com/rfordatascience/tidytuesday).
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First Project
Tidy Tuesday has data and links to more data. The nice thing about those data sets is that you can search for what other people did with the data on social media (e.g. Twitter).
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[OC] Popularity of Horror Movie Poster Color Schemes from 1970
Dataset: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-11-01
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Tips on getting experience in R on GitHub
What you're describing is contributing to open source. Some things I'd suggest doing: - learn some git first - create GitHub account and create at least a practice repo - look at learning community-related repos, like Tidy Tuesday - follow R "power" users, people associated with RStudio, and similar folks on social media. Those folks will sometimes mention projects aimed at beginners.
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[OC] 2021-22 EPL Home/Away Goal Differential
Data: TidyTuesday April 4
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Publicly available datasets?
The Tidy Tuesday git repo has a lot of example datasets to work with.
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[OC] Kyle Feldt and his Chevalier Sheriffs: An Infographic of Feldt's NRL Tries
I mostly use ggplot2 in R for visualisations which means that The R Graph Gallery is my starting point for inspiration. The best thing to do is start with a simple idea that tells a story, and one of the best guys out there that does this is Cedric Scherer. He is involved a bit with the TidyTuesday project which I wish I had more time to play around with, and is a great starting point for developing a library of vis techniques.
Chart.js
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Working Camp Inquiry - Glam Up my Markup
ChartsJS for inspiring me with the pie chart.
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React: A Mess That Shouldn't Exist In Web Development
Most of frontend libraries are made with Vanilla JS. An example of library that you might frequently use is "Chart.js". But React is not compatible with Chart.js so here it comes "React-chartjs-2" A wrapper library to work with Chart.js in React ecosystem. Oh you want to use "three.js" for some cool 3D? you will need "React-three/fiber". In my case, I need to implement "telegram-web-app", not so fast, I have to create my own wrapper to be able to use it.
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Frontend Developer Roadmap
Chart.js
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Alternatives to Chart.js - A Series Exploring JavaScript Chart Comparisons
Chart.js is a free, open-source JavaScript library for data visualization, which supports eight chart types: bar, line, area, pie, bubble, radar, polar and scatter. It's licensed under the permissive MIT license and is renowned for being flexible, lightweight, easy to use and extendible.
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What is the technology stack used to create these live charts?
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.
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Using AI to Generate Database Query Is Cool. But What About Access Control?
Charts.js for creating diagrams
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Master Angular 16.1 & 16.2
Connie Leung wrote a tutorial to demonstrate how these new hooks work, integrating an Angular app with the Chart.js library: "DOM reading and writing with new lifecycle hooks in Angular"
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2023 Self-Host User Survey Results
Thanks to all who participated in our 2023 Self-Host User Survey! Below is a link to the results, which we've visualized using Chart.js.
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Frontend development roadmap
Chart.js
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WiFi without internet on a Southwest flight
I used chart.js [0], but I don't necessarily endorse it - it's just what I knew how to use quickly. I usually try to keep my posts free from javascript, and could have used a different tool that gives me SVG data or images.
You can see the code that's generating these charts here: https://github.com/jamesbvaughan/jamesbvaughan.com/blob/main...
[0] https://www.chartjs.org/
What are some alternatives?
data - Data and code behind the articles and graphics at FiveThirtyEight
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
gganimate - A Grammar of Animated Graphics
morris.js - Pretty time-series line graphs
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
recharts - Redefined chart library built with React and D3
r4ds - R for data science: a book
vega - A visualization grammar.
awesome-public-datasets - A topic-centric list of HQ open datasets.
chartist-js - Legacy Chartist Repo for old gh-pages
big-mac-data - Data and methodology for the Big Mac index
c3 - :bar_chart: A D3-based reusable chart library