2327 search results for "Time series"

Visualizing Movies Gross Income

March 17, 2016
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Visualizing Movies Gross Income

Shh.. this post is an excuse to test the brand new subtitles and captions in #ggplot2! powered by @hrbrmstr. "And there came a day unlike any other,when earth's mightiest data sci vis tool added subtitles & captions" https://t.co/eRVPxz52iL #rstats— boB Rudis (@hrbrmstr) March 15, 2016 The recently (I remeber this movie like it was yesterday) SW7...

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Customize a scatterplot exercises

March 17, 2016
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Customize a scatterplot exercises

In the following exercises we practice how to customize a scatterplot. We will use axis , to add an axis; mtext to add a text; and legend to add a legend. Moreover we practice how to add details in every stage. We will use the mtcars dataset, provided by R Cran (we can upload dataset

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R Shiny leaflet: using observers

March 16, 2016
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R Shiny leaflet: using observers

Using leaflet in R is fairly simple and there are plenty of online resources and examples available already. See the RStudio tutorial to get started if you haven’t already. This post presents a series of examples which build upon each other. The code displays both point data and raster data on leaflet maps with Shiny

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Get Data – Safe, Easy, and Free

March 15, 2016
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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...

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Webinar and free e-book on data preparation with R

March 15, 2016
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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...

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Adding a subtitle to ggplot2

March 14, 2016
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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,...

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Who Has the Best Fantasy Football Projections? 2016 Update

March 12, 2016
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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.

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pokemon: visualize ’em all!

March 7, 2016
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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...

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Mastering R plot – Part 3: Outer margins

March 5, 2016
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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

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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...

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