rvest
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rvest | Svelte | |
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13 | 632 | |
1,470 | 76,553 | |
1.1% | 1.3% | |
7.2 | 9.9 | |
2 months ago | 1 day ago | |
R | JavaScript | |
GNU General Public License v3.0 or later | MIT License |
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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.
rvest
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Collecting Data from News Articles using Web Scraping - Help
You’re looking for the rvest package
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PSA: You don't need fancy stuff to do good work.
Before diving into advanced machine learning algorithms or statistical models, we need to start with the basics: collecting and organizing data. Fortunately, both Python and R offer a wealth of libraries that make it easy to collect data from a variety of sources, including web scraping, APIs, and reading from files. Key libraries in Python include requests, BeautifulSoup, and pandas, while R has httr, rvest, and dplyr.
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Average price of an ounce of medium/high-quality marijuana in each U.S. state, April 2023 [OC]
Tools: R + Rvest to scrape and clean the data. D3 to create the map. Svelte to put it all together.
- Estoy haciendo un DDoS?
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AHR Summoning Statistics: 40 Summons and First Summon
so ik R has packages and native functions to help bypass this manual process. Eg scraping the wiki / gamepress unit list with Rvest may prove easier, furthermore you can specify web based sources when reading data. I'm not giga familiar with doing either myself, but maybe you can scrape data from the wikis or from repositories like the feh assets 1. But if youre able to set up a simple R script to read in new data and transform / clean it and save manual updates every 2 weeks
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Webscraping Google Search results and extracting the urls
There are very similar tools in R that I cover in that tutorial. For example, rvest or xml2 should be able to do the job as both of them support XPath selectors (you can take the ones from the article - they should work in R too).
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Made an app where you can search for money diaries by location or income
To get the data from the website, I need to use the package (a set of R code someone created and shared that's designed for a certain task) rvest, then I did a bunch of data munging in R to pull out the location/salary/age/etc. I saved that in a dataset and then used another package flexdashboard to make a webpage which I can essentially "one-click" publish using a free tool called RPubs.
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Used Cars Data Scraping - R & Github Actions & AWS
It came up with the idea of how to combine Data Engineering with Cloud and automation. I needed to find a data source as it would be an automated pipeline, so I needed a dynamic source. At the same time, I wanted to find a site where I thought retrieving data would not be a problem and do practice with both rvest and dplyr. After I had no problems with my experiments with Carvago, I added the necessary data cleaning steps. Another thing I aimed for in the project was to keep the data in different ways in different environments. While raw (daily CSV) and processed data were written to the Github repo, I wrote the processed data to PostgreSQL on AWS RDS. In addition, I sync the raw and processed data to S3 to be able to use it with Athena. However, I have separated some stages for GitHub Actions to be a good practice. For example, in the first stage, I added synchronization with AWS S3 as a separate action while scraping data, cleaning, and printing fundamental analysis to a simple log file. If there is no error after all this, I added a report with RMarkdown and the action that will be published on github.io. Thus, I created an end-to-end data pipeline where the data from the source is made to offer basic reporting with simple processing.
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Saving the Text from a News Article in R?
I would try some more nuanced web scraping with a package like rvest
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How to convert large xml file to csv/sheet format
1) Use rvest to extract the contents of the XML file (i.e. loop over top-level nodes and pull any variable you're interested in into a column).
Svelte
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How to optimise React Apps?
React has introduced measures like batching state updates, background concurrent rendering and memoization to tackle this. My opinion is that the best way to solve the problem is by improving their reactivity model. The app needs to be able to track the code that should be re-run on updating a given state variable and specifically update the UI corresponding to this update. Tools like solid.js and svelte work in this manner. It also eliminates the need for a virtual DOM and diffing.
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Episode 24/13: Native Signals, Details on Angular/Wiz, Alan Agius on the Angular CLI
Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid, Starbeam, Svelte, Vue, Wiz, and more…
- Rich Harris: Svelte parses HTML all wrong
- Mario meets Pareto: multi-objective optimization of Mario Kart builds
- Svelte parses HTML all wrong
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Svelte for Beginners: Easy Guide
Svelte is a powerful web framework that offers a fresh approach to building web applications. Its simplicity, reactivity model, and built-in features make it an excellent choice for developers looking to create efficient and maintainable applications. By following this guide, you should now have a good understanding of how to get started with Svelte and build your first components, routes, and transitions. You can read more about svelte on the official Svelte website.
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Trying to use dotnet watch with Svelte
Use .NET features (especially dotnet watch) as a setup for a client-side Svelte application, starting from a simple C# console app.
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Why I keep an eye on the Vue ecosystem and you should too
Volar originally was Vue3's language support tool for VScode (I don't know about other editors). By today, volar has become a language indipendent framework to create language tools. It might still be a bit early for the dev with skill issues like me to use it and build some tools, but astro and svelte already use Volar to create their language tools.
- Svelte Tenets by Rich Harris
What are some alternatives?
r-web-scraping-cheat-sheet - Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.
r4ds - R for data science: a book
lit - Lit is a simple library for building fast, lightweight web components.
pokemon-games-ratings - Dataset and visualizations of Pokemon Game Ratings, from scraping metacritic.com.
solid - A declarative, efficient, and flexible JavaScript library for building user interfaces. [Moved to: https://github.com/solidui/solid]
blackmagic - 🎩 Automagically Convert XML to JSON an JSON to XML
qwik - Instant-loading web apps, without effort
money_diaries - An interactive web app for searching and filtering money diaries
awesome-blazor - Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.
flexdashboard - Easy interactive dashboards for R
Next.js - The React Framework