Hadley is a smash hit at LondonR
We were thrilled to host Hadley Wickham who delivered, as ever, a funny and engaging talk to a packed house at LondonR in August. In fact, to give you an...continue reading.
Category: R Books
Extracting Sydney transport data from Twitter
The @sydstats Twitter account uses this code base, and data from the Transport for NSW Open Data API to publish insights into delays on the Sydney Trains network. Each tweet...continue reading.
Catch us at these conferences!
At Jumping Rivers we’re always to want to branch into the data science community, and so this year we’re going to quite a few conferences in the autumn. You can...continue reading.
Forget about Excel, Use these R Shiny Packages Instead
tl; dr Transferring your Excel sheet to a Shiny app can be the easiest way to create an enterprise ready dashboard. In this post, I present 6 Shiny alternatives for...continue reading.
Python & Data Science Tutorial – Analyzing a Random Dataset
This article is originally published at https://quantoisseur.com Thanks for visiting r-craft.org This article is originally published at https://quantoisseur.com Please visit source website for post related comments.continue reading.
Machine Learning Interpretability @DataUniversity2019
Vom 09.-10. Oktober findet die Data University an der Goethe-Uni in Frankfurt statt, präsentiert von STATWORX & BARC. Der Beitrag Machine Learning Interpretability @DataUniversity2019 erschien zuerst auf STATWORX.continue reading.
Which Factors Influence Gas Prices? Do Gas Companies Narratives Hold True?
What are driving factors behind the gas price? With freely accessible data we are goging to find out if the brand, the location and more have any impact on the...continue reading.
What the MAPE is FALSELY blamed for, its TRUE weaknesses and BETTER alternatives!
In time series context, one of most the commonly used measures is the MAPE. In this blog post, I evaluate critical arguments and weaknesses concerning the MAPE and demonstrate alternative...continue reading.
4th Consumer Financial Protection Bureau research conference on consumer finance, Dec 12-13, 2019
SUBMISSION DEADLINE: SEPTEMBER 3, 2019 What: 4th CFPB Research Conference on Consumer Finance When: December 12th-13th, 2019 Where: Catholic University in Washington, DC In December 2019, the Consumer Financial Protection...continue reading.
Learn Python Statistics and Machine Learning with My New Book: Training Systems using Python Statistical Modeling
Packt Publishing has turned another one of my video courses, Training Your Systems with Python Statistical Modeling, into a book! This book is now available for purchase. It is a...continue reading.
Web Scraping 101 in Python with Requests & BeautifulSoup
Want to obtain a specific dataset from a website which does not have an API? In this post, I explain how to do this by scraping data using Python, how...continue reading.
Search the Bold
Looking for specific episodes of The Bold and The Beautiful? There is a nice python package “holmes-extractor” that builds upon the spacy package. It supports a couple of use cases....continue reading.
CPAT and the Rényi-Type Statistic; End-of-Sample Change Point Detection in R
My second package implements change point testing procedures, especially those for end-of-sample change points. I demonstrate on an example computing a stock’s alpha and beta.continue reading.
Shiny Apps skalieren @DataUniversity2019
Vom 09.-10. Oktober präsentieren wir von STATWORX gemeinsam mit BARC die Data University an der Goethe-Uni in Frankfurt. 2 Tage lang werden wir dort unser geballtes Data Science Wissen in...continue reading.
Getting started with flexdashboards in R
In this blog article, you will learn you how to set up a dashboard with the flexdashboard package, how to integrate interactive widgets and how to deploy the app on...continue reading.
BayesCamp prize 2019
Each year at the International Workshop on Computational Economics and Econometrics, I award a BayesCamp prize for the talk with … Morecontinue reading.
Is Scholarly Use of R Beating SPSS Already?
by Bob Muenchen & Sean MacKinnon One of us (Muenchen) has been tracking The Popularity of Data Science Software using a variety of different approaches. One approach is to use...continue reading.
Writing Functions in R: Example One
A. Background In previous posts, I covered a number of useful functions and packages for writing reusable code. I wanted to extend on that information by providing a working example...continue reading.
Bang Bang – How to program with dplyr
Never heard of non-standard evaluation? Then our colleague Markus has the perfect answer for you: Bang Bang! In this blog post, Markus introduces meta-programming when using dplyr. Der Beitrag Bang...continue reading.
Clean, Consistent Column Names
I like to standardize the column names of data I’m reading into R so that I don’t have to match column names from one dataset that has an i.d. column...continue reading.
