2356 search results for "Time Series"

Get Data – Safe, Easy, and Free

March 15, 2016
By
Get Data – Safe, Easy, and Free

<!--In my (/why-R-u-thankful), I described a side project I’m running for the holidays (at least) collecting what about R makes useRs thankful. I put an example function (https://github.com/steventsimpson/googleformr)**::why_R_u_thankful()** into the package to facilitate the project. Use the code below to participate by sharing your own thanksgiving. ``` if (!require(“pacman”)) install.packages(“pacman”) pacman::p_load_gh(“steventsimpson/googleformr”) ``` ``` googleformr::why_R_u_thankful("") # googleformr Genesis googleformr came out of a persistent...

Read more »

Webinar and free e-book on data preparation with R

March 15, 2016
By
Webinar and free e-book on data preparation with R

Just a quick heads up that Nina Zumel, co-founder and principal consultant at Win-Vector LLC will be presenting a webinar at 10AM Pacific Time on Thursday March 17, Data Preparation Techniques with R. Nina is the co-author of Practical Data Science with R and blogs frequently at the Win-Vector blog (and contributes the occasional guest blog here), and has...

Read more »

Adding a subtitle to ggplot2

March 14, 2016
By
Adding a subtitle to ggplot2

A couple of days ago (2016-03-12) a short blog post by Bob Rudis appeared on R-bloggers.com, "Subtitles in ggplot2". I was intrigued by the idea and what this could mean for my own plotting efforts, and it turned out to be very simple to apply. (Note that Bob's post originally appeared on his own blog,...

Read more »

Who Has the Best Fantasy Football Projections? 2016 Update

March 12, 2016
By
Who Has the Best Fantasy Football Projections? 2016 Update

In prior posts, we demonstrated how to download projections from numerous sources, calculate custom projections for your league, and compare the accuracy of different sources of projections (2013, 2014, 2015).  In The post Who Has the Best Fantasy Football Projections? 2016 Update appeared first on Fantasy Football Analytics.

Read more »

pokemon: visualize ’em all!

March 7, 2016
By
pokemon: visualize ’em all!

Time ago, when I was a younger man I know pokemon I konw the 150 pokemon then I And more than 10 year there are over 700 with new types new, new regions, etc. So to know the status of all these monsters I download the data and make some chart and see te actual status. Data There...

Read more »

Mastering R plot – Part 3: Outer margins

March 5, 2016
By
Mastering R plot – Part 3: Outer margins

This is the third post in our series Mastering R Plot, in this one we will cover the outer margins. To know more about plot customization read my first and second post. Let’s directly dive into some code: #a plot has inner and outer margins #by default there is no outer margins par()$oma 0 Related Post

Read more »

Gathering Twitter data with the TwitteR2Mongo package

Gathering Twitter data with the TwitteR2Mongo package

The following is a guest post by Philipp Prettl and Lion Weber (University of Konstanz), with support from Simon Munzert. Did you ever want to track trending topics on Twitter, but missed to start the tracking as an event took off? Are you interested in mining massive amounts of Twitter data using R, but lack the tools to store all...

Read more »

Nairobi Data Science Meetup: Paradigm Shift in Research with Samuel Kamande

March 1, 2016
By

Samuel Kamande is a Data Scientist at Nielsen and his presentation will focus on “Paradigm Shift in Research”. We caught up with him and he shared a lot about his work at Nielsen, some of the projects he has worked on like “Digital Divide project in Trinidad and Tobago in 2013”,thoughts on the future of Data Science and something...

Read more »

BythMusteR: Mobile Phone Evolution

February 29, 2016
By
BythMusteR: Mobile Phone Evolution

TL DRs Time ago I changed my humble moto G 1st gen with a more big Mate Ascend 7 and my thumb did things I didn’t know to reach the opposite top corner. In one of this efforts to reach a far icon I remembered the phone evolution image. And then I asked how true is this image. How similiar is...

Read more »

New CRAN package gunsales

February 28, 2016
By
New CRAN package gunsales

This is based on joint work with Gregor Aisch and Josh Keller of the New York Times. A new package gunsales is now on the CRAN network for R. It is based the NYTimes/gunsales repository underlying the excellent New York Times visualizations, first published first in December 2015 and updated with more recent data...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Dommino data lab

Quantide: statistical consulting and training



http://www.eoda.de







ODSC

ODSC

CRC R books series





Six Sigma Online Training





Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)