Chartist.js is recommended for developers who are building web applications that require dynamic data visualization but need a simple, straightforward tool. It is particularly well-suited for projects where responsiveness and customization are important, and where the performance impact of additional libraries needs to be minimized.
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Based on our record, Chartist.js should be more popular than RStudio. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
First, you will need to have R and RStudio installed on your computer. If you don't have these already, you can download them from the official website RStudio. - Source: dev.to / over 2 years ago
For now I'm still referencing https://yihui.org/knitr/, but just yesterday I wasn't sure which term to use to search for knitr options. I ended up landing on Yihui's site but also looking at Distill documentation on rstudio.com (not posit.co, because obviously they didn't get posit.com) in another tab. Will the the clever knitting references become deprecated as the product is rethemed with distilling references... Source: over 2 years ago
RStudio | Multiple Roles | Remote | Full-time | https://rstudio.com RStudio is a Public Benefit Corporation that makes software for data scientists. Our core offering is an open source data science toolchain, and we aim to make it available to everyone, regardless of their economic means. We've also been fully remote for many years. I have the first role below open for Go development, but there are plenty of... - Source: Hacker News / over 3 years ago
# A Sample Bot for Ethereum written in R programming language # (www.r-project.org). Code can be deployed in Rstudio (https://rstudio.com/) #________ # Purpose: check the current ETH-USD price and if it's within a set range, buy # or sell accordingly #________ # Set Variables---- Target.eth.price.usd <- 1800 #Set target ETH price in USD Target.usd.plus_minus <- 5 #Sets a range of $ETH +/- (i.e.... Source: about 4 years ago
I tracked my push ups via the KeepTrack App for Android and made the visualization with RStudio, here is the code I wrote for the data. Source: about 4 years ago
Here's a JS framework that seems to do almost everything you want (outside of not requiring a JS framework, of course). It's a Sass project and uses Node modules, so I wasn't able to get it running using vanila js. (I'm not much of a JS dev.) I'm also interested in other players in this space. SVG seems like the ideal way to make static plots. https://gionkunz.github.io/chartist-js/. - Source: Hacker News / over 1 year ago
If you are sending the data to a website, or serving the website yourself, using JSON as the data format will be the easiest. Personally I never use cloud services and I just use a Javascript charting library like https://gionkunz.github.io/chartist-js/ (it supports real-time graphs) on a web page that is self-hosted (run a server on the ESP32). Source: almost 2 years ago
The author went through the effort of creating a marketing site with documentation and examples. https://gionkunz.github.io/chartist-js/. - Source: Hacker News / over 2 years ago
With django-controlcenter you can have all of your models on one single page and build beautiful charts with Chartist.js. Actually they don't even have to be a django models, get your data from wherever you want: RDBMS, NOSQL, text file or even from an external web-page, it doesn't matter. - Source: dev.to / over 2 years ago
Anyone here have some good suggestions for mature, easy to use graph libraries for Vue 3? Maybe I should write a wrapper around Chartist myself... Source: about 3 years ago
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