2836 search results for "ggplot2"

CRAN download statistics of any packages #rstats

March 7, 2015
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CRAN download statistics of any packages #rstats

Hadley Wickham announced at Twitter that RStudio now provides CRAN package download logs. I was wondering about the download numbers of my package and wrote some code to extract that information from the logs… The first code snippet is taken from the log website itself: Then I downloaded all files into a folder: Unzipping did … Continue reading...

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Welcome to the Hadleyverse

March 6, 2015
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It's fair to say that Hadley Wickham, chief scientist at RStudio and a new member of the R Foundation, has made great contributions to the R community. Not only is he the author of several R-related books including Advanced R, Hadley is also the author of dozens of R packages which have transformed the way that data scientists work...

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R Basics at Simple Talk

March 5, 2015
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R Basics at Simple Talk

News that Microsoft will acquire Revolution Analytics has raised interest about R among SQL Server and .NET developers and administrators.  Simple-Talk is an online technical journal and hub for a community of such users.  I just wrote a...

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Plotly Graphs with Domino’s New R Notebook

March 3, 2015
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Plotly Graphs with Domino’s New R Notebook

by Matt Sundquist co-founder of Plotly Domino's new R Notebook and Plotly's R API let you code, make interactive R and ggplot2 graphs, and collaborate entirely online. Here is the Notebook in action: Published R Notebook To execute this Notebook, or to build your own, head to Domino's Plotly Project. The GIF below shows how to get started: choose...

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Mapping Paris bikes stands

March 3, 2015
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Mapping Paris bikes stands

A Sharp Sight Labs reader (and now student), Jason P. recently started learning data science. He has a background in data analysis (primarily with Excel and related tools in the Microsoft ecosystem) but he wanted to start learning some of the harder skills of data science. He contacted me after he had diligently reviewed past The post

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Silhouettes

March 2, 2015
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Silhouettes

Romeo, Juliet, balcony in silhouette, makin o’s with her cigarette, it’s juliet (Flapper Girl, The Lumineers) Two weeks ago I published this post for which designed two different visualizations. At the end, I decided to place words on the map of the United States. The discarded visualization was this other one, where I place the words over the silhouette … Continue reading...

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Playing around with #rstats twitter data

Playing around with #rstats twitter data

As a bit of weekend fun, I decided to briefly look into the #rstats twitter data that Stephen Turner collected and made available (thanks!). Essentially, this data set contains some basic information about over 100,000 tweets that contain the hashtag… Continue reading →

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Tools in Tandem – SQL and ggplot. But is it Really R?

February 28, 2015
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Tools in Tandem – SQL and ggplot. But is it Really R?

Increasingly I find that I have fallen into using not-really-R whilst playing around with Formula One stats data. Instead, I seem to be using a hybrid of SQL to get data out of a small SQLite3 datbase and into an R dataframe, and then ggplot2 to render visualise it. So for example, I’ve recently been

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John Snow, and Google Maps

February 27, 2015
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John Snow, and Google Maps

In my previous post, I discussed how to use OpenStreetMaps (and standard plotting functions of R) to visualize John Snow’s dataset. But it is also possible to use Google Maps (and ggplot2 types of graphs). library(ggmap) get_london <- get_map(c(-.137,51.513), zoom=17) london <- ggmap(get_london) Again, the tricky part comes from the fact that the coordinate representation system, here, is not...

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Using and Abusing Data Visualization: Anscombe’s Quartet and Cheating Bonferroni

February 26, 2015
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Using and Abusing Data Visualization: Anscombe’s Quartet and Cheating Bonferroni

Anscombe’s quartet comprises four datasets that have nearly identical simple statistical properties, yet appear very different when graphed. Each dataset consists of eleven (x,y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data before analyzing it and the effect of outliers on statistical properties.Let’s load and view...

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