Tag: packages

Feed: R-bloggers. Author: Bruno Silva. In this post I’m going to explain how to use the package roadHotspots. This is just a development version located in github and I must say that I have no further intentions of continuing to work on this. If someone find this useful and would like to continue where I’ve left, please contact me. I’ve created this project just to demonstrate that with some (limited) programming knowledge, free open-source tools and approximately 20h of work it’s possible to develop a useful and simple software with a user-friendly interface and a great scientific potential. To install ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller. I recently downloaded a 5 year Public Use Microsample (PUMS) from the latest release of the American Community Survey (ACS) census data. The data contain a wealth of demographic information on both American households and individuals (population). The final household and population data stores are quite large for desktop computing: household consists of almost 7.5M records with 233 attributes, while population is just under 15.8M cases and 286 variables. In addition to enabling a wealth of demographic analyses, these census data are quite suitable for performance testing functions to ingest, munge, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Business doesn’t want AI.  Business wants results.  While we were focused inward on our Advanced Analytic Platforms, smart competitors were rolling up AI/ML with other capabilities into “Intelligent Automation” platforms.  This large scale integration of capabilities of which AI/ML is only a part looks a lot like the development of ERPs in the late 90s. Business doesn’t want AI.  Business wants results: increased revenue, increased margin, and decreased cost.  If you’re part of the AI/ML community it’s easy to get wrapped up in how AI/ML can have these ... Read More

Feed: Planet PostgreSQL. PREVIOUS POST Introduction Those DBAs who are experts in one database system look for other database systems to have “similar features”. It is a human tendency to look at any new technology and compare it with a world they are familiar with. Most of the time, I keep addressing Oracle DBAs who are looking for similar features or setup in PostgreSQL, but this time it is for MySQL DBA. MySQL historically ships mysqld_multi to manage multiple instances of MySQL on a server. Even though this is not a core feature in MySQL, but rather a wrapper, I ... Read More

Feed: R-bloggers. Author: Adrian Antico. Over 20% of Amazon’s North American retail revenue can be attributed to customers who first tried to buy the product at a local store but found it out-of-stock, according to IHL group (a global research and advisory firm specializing in technologies for retail and hospitality. In other words, many companies and local stores suck at forecasting. Accurate demand forecasts are necessary if you’re a retailer who has one of their competitors being Amazon. Want to lose business to Amazon? Then produce sh**ty demand forecasts. It is also actually one of the “low-hanging fruits” of a ... Read More

Feed: R-bloggers. Author: Tinniam V Ganesh. The cricketr package has several functions that perform several different analyses on both batsman and bowlers. The package can also analyze performances of teams The package has function that plot percentage frequency runs or wickets, runs likelihood for a batsman, relative run/strike rates of batsman and relative performance/economy rate for bowlers are available. Other interesting functions include batting performance moving average, forecast and a function to check whether the batsmans in in-form or out-of-form.In addition performances of teams against different oppositions at different venues can be computed and plotted. The timeline of wins & ... Read More

Feed: R-bloggers. Author: Topics in R. A new version of my package packagefinder is available on CRAN. It has a lot of new features and comes with a YouTube tutorial. What is packagefinder? How does it benefit me? Currently, there are more than 14,000 R package contributions on CRAN providing R with an unparalleled wealth of features. The downside of the large and increasing amount of packages is that it becomes increasingly difficult to find the right tools to tackle a specific problem. Unfortunately, CRAN does not provide any good search functionality. packagefinder is designed to search for CRAN packages ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. About a week ago Bob Rudis created a nice blogpostthat I saw on my R Bloggers feed thatsimultaneously: Threw a bit of “shade” on the ToS for Axios (well done Bob) Showed how to use EtherCalc as a data entry tool And, most importantly to me, showed how to make great use of a slopegraph I happened to be on vacation at the time but as soon as I got back and caught upI vowed to follow up since slopegraphs have always fascinatedmeand I happened to write a function to ... Read More

Feed: R-bloggers. Author: JOURNEYOFANALYTICS. Travel maps tutorialAnthony Bourdain was an amazing personality – chef, author, world traveler, TV showhost. I loved his shows as much for the exotic locations as for the yummilicious local cuisine. So I was delighted to find a dataset that included all travel location data, from all episodes of his 3 hit TV shows. Dataset attributed to Christine Zhang for publishing the dataset on Github. In today’s tutorial, we are going to plot this extraordinary person’s world travels in R. So our code will cover geospatial data mapping using 2 methods: Leaflets package to create zoomable ... Read More

Feed: R-bloggers. Author: Jozef's Rblog. Recently I was involved in a task that included reading and writing quite large amounts of data, totaling more than 1 TB worth of csvs without the standard big data infrastructure. After trying multiple approaches, the one that made this possible was using data.table’s reading and writing facilities – fread() and fwrite(). This motivated me to look at benchmarking data.table’s fread() and how it compares to other packages such as tidyverse’s readr and base R for reading tabular data from text files such as csvs. The data.table package is a bit lesser known in the ... Read More