rvest
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rvest | ggplot2 | |
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13 | 62 | |
1,468 | 6,316 | |
1.0% | 1.2% | |
7.2 | 9.4 | |
about 2 months ago | 5 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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).
ggplot2
- ggplot2
- Ask HN: How do you build diagrams for the web?
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Visualizing shapefiles in R with sf and ggplot2!
ggplot2
- Ask HN: What plotting tools should I invest in learning?
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Relative frequency of letters in five-letter English words (Wordle aid) [OC]
I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package.
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[OC] U.S. News & World Report Best Colleges: 2002 to 2023
Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2.
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Facts about Aaron Boone's Ejections as Manager
I used the ggplot2 package in R to create these figures.
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Fueling Innovation and Collaborative Storytelling
This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and visualization tools to survive on Mars. He uses Python's Pandas to clean and organize data, and he uses R's ggplot2 to create visualizations of his data. These tools allow him to make sense of the vast amounts of data and help him to make critical decisions about his survival.
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[OC] Visualizing Financial Market Returns Across Many Asset Classes via Heatmaps
Sorry about the slow reply, but the auto-moderator seems to be deleting my comments (for some unknown reason). I will try once more: the geom_tile function in ggplot2.
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[OC] Forbes List of Highest-Earning Musicians: 1987 to 2021
Visual cues are a much better idea, thanks! Unfortunately, I don't know how to do that in ggplot2, either (I created these figures in R).
What are some alternatives?
r-web-scraping-cheat-sheet - Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.
Altair - Declarative statistical visualization library for Python
r4ds - R for data science: a book
tmap - R package for thematic maps
pokemon-games-ratings - Dataset and visualizations of Pokemon Game Ratings, from scraping metacritic.com.
vega - A visualization grammar.
blackmagic - 🎩 Automagically Convert XML to JSON an JSON to XML
dplyr - dplyr: A grammar of data manipulation
money_diaries - An interactive web app for searching and filtering money diaries
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
flexdashboard - Easy interactive dashboards for R
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.