Tag: Facebook

Feed: R-bloggers. Author: Rstats on Jakub Nowosad's website. In the last few weeks, I was asked a similar question several times – how to calculate landscape metrics for local landscapes?In other words, how to divide the categorical input map into a number of smaller areas, and next calculate selected landscape metrics for each of the areas.Those areas have many names, such as tiles, squares, or motifels.The main goal of this post is to show how to calculate landscape metrics using the landscapemetrics R package. To reproduce the results on your own computer, install and attach the following packages: library(landscapemetrics) # ... Read More

Feed: R-bloggers. Author: Jordan. Two weeks ago I flew from New York to Warsaw, Poland to begin a new role at Appsilon Data Science. On Saturday, I’ll be flying right back in the other direction to attend rstudio::conf::2020. This is convenient because my bags aren’t even unpacked yet, and also exciting because rstudio::conf is an all-star weekend for the R community. If you are planning to attend the conference, please drop by the Appsilon Data Science booth in the Yosemite room and say hello to me and a few other members of the Appsilon team! You can also find us ... Read More

Feed: Actian. Author: Pradeep Bhanot. Social relationships hold a wealth of information about your customers, employees, and suppliers that (if you have the tools to harness them) can provide you valuable insights about the factors that influence behaviors that ultimately impact your bottom line.  The challenge with analyzing and visualizing social relationships is that the underlying data doesn’t match well with the relational data structures that most data warehouses are designed around.  The use cases that your company needs to embrace to create competitive advantage are too complex for most relational databases to handle, and as a result, you may ... Read More

Feed: R-bloggers. Author: Stephan Emmer. [This article was first published on r-bloggers | STATWORX, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Data operations is an increasingly important part of data science because it enables companies to feed large business data back into production effectively. We at STATWORX, therefore, operationalize our models and algorithms by translating them into Application Programming Interfaces (APIs). Representational State Transfer (REST) APIs are well suited to be implemented ... Read More

Feed: R-bloggers. Author: Sean Lopp. [This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. RStudio Connect helps data science teams quickly make an impact by enabling themto publicize reports, models, dashboards, and applications created in R andPython with business stakeholders. The 1.8.0 release makes it even easier forteams to start sharing. For Data Scientists, highlights include: Python Support: Improvements that make it easier to share Jupyter ... Read More

Feed: R-bloggers. Author: xi'an. [This article was first published on R – Xi'an's Og, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. A very quick Riddler’s riddle last week with the question Find the (integer) fraction with the smallest (integer) denominator strictly located between 1/2020 and 1/2019. and the brute force resolution for (t in (2020*2019):2021){ a=ceiling(t/2020) if (a*2019leading to 2/4039 as the target. Note that Related If you got this far, why ... Read More

Feed: R-bloggers. Author: Business Science. [This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Product price estimation and prediction is one of the skills I teach frequently – It’s a great way to analyze competitor product information, your own company’s product data, and develop key insights into which product features influence product prices. Learn how to model product car prices and calculate depreciation curves using the brand ... Read More

Feed: R-bloggers. Author: John Mount. [This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. One reason we are developing the wrapr to/unpack methods is the following: we wanted to spruce up the R vtreat interface a bit. We had recently back-ported a Python sklearn Pipeline step style interface from the Python vtreat to R (announcement here). But that doesn’t mean we are not continuing ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: AWS Public Sector Blog Team. University Hospitals of North Midlands Trust’s Breast Care Unit approached Redmoor Health to discuss innovative ways to improve patient engagement. Turning to social media, the Health Innovation Campus at Lancaster University, Redmoor Health, and the National Health Service (NHS), began using Facebook to reach the at-risk demographic (women 49+ years old). Through this collaboration, they saw the number of patients attending vital breast screening appointments increase by 13% – among the best in the country. It soon became clear that people using social media expected round-the-clock responses, ... Read More

Feed: R-bloggers. Author: Keith Goldfeld. [This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The ROC (receiver operating characteristic) curve visually depicts the ability of a measure or classification model to distinguish two groups. The area under the ROC (AUC), quantifies the extent of that ability. My goal here is to describe as simply as possible a process that serves as a foundation for the ... Read More