725 search results for "Register"

Searching Twitter with ArcGIS Pro Using R

August 18, 2015
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Searching Twitter with ArcGIS Pro Using R

I committed to testing this a long time ago, however, a number of other projects intervened, so I have only just got around to writing up this short tutorial. One of the exciting things from the ESRI Developers Conference this year was the launch of the R-ArcGIS bridge. In simple terms, this enables you to run R...

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Importing Data Into R – Part Two

August 18, 2015
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Importing Data Into R – Part Two

In this follow-up tutorial of This R Data Import Tutorial Is Everything You Need-Part One, DataCamp continues with its comprehensive, yet easy tutorial to quickly import data into R, going from simple, flat text files to the more advanced SPSS and SAS files. As a lot of our readers noticed correctly from the first post, The post

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Using Azure as an R datasource, Part 4 – Pulling data from SQL Server to Linux

August 18, 2015
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Using Azure as an R datasource, Part 4 – Pulling data from SQL Server to Linux

by Gregory Vandenbrouck Software Engineer, Microsoft This post is the fourth in a series that covers pulling data from Microsoft SQL Server or MySQL/MariaDB on Azure to an R client on Windows or Linux. In the previous posts, we covered pulling data from SQL Server to Windows and from MySQL/MariaDB to both Windows and Linux. This time we’ll be...

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Mapping Historic US Presidential Election Results

August 13, 2015
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Mapping Historic US Presidential Election Results

Today I will demonstrate how to map historic US Presidential Election results in R. If you want to skip ahead and play with a shiny app that lets you visualize this dataset, then click here. The dataset we will use comes from wikipedia’s List of United States presidential election results by state and is packaged in the choroplethr The post

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SWMPr 2.1.0 on CRAN

August 12, 2015
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SWMPr 2.1.0 on CRAN

I’ve just released an updated version of my package for estuary monitoring data, SWMPr, available on CRAN. I’ve made several additions to the package since it’s initial release – nothing too crazy but enough to warrant another push to CRAN and blog post. I’ve been pretty bad about regular updates but I’ve added a few

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SWMPr 2.1.0 on CRAN

August 12, 2015
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SWMPr 2.1.0 on CRAN

I’ve just released an updated version of my package for estuary monitoring data, SWMPr, available on CRAN. I’ve made several additions to the package since it’s initial release – nothing too crazy but enough to warrant another push to CRAN and blog post. I’ve been pretty bad about regular updates but I’ve added a few

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Hey Fitbit, my data belong to me!

August 8, 2015
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Hey Fitbit, my data belong to me!

When you go on Fitbit’s website and want to download your own Fitbit data, you will find your way to their Data Export utility on their settings page. Once you get there, you are greeted with what looks like a … Continue reading →

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Microsoft Launches Its First Free Online R Course on edX

August 4, 2015
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Microsoft Launches Its First Free Online R Course on edX

Today, Microsoft and DataCamp launched an exciting new course on edX.org covering the basics of the statistical programming language R. This four week course is free for everyone, and no prior knowledge in programming or data science is required. Make sure to watch the course promotion video:   What sets this Introduction to R course The post

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Using Azure as an R datasource Part 3: Pulling data from MySQL/MariaDB to Linux

July 21, 2015
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Using Azure as an R datasource Part 3: Pulling data from MySQL/MariaDB to Linux

by Gregory Vandenbrouck Software Engineer, Microsoft This post is the third in a series that covers pulling data from Microsoft SQL Server or MySQL/MariaDB on Azure to an R client on Windows or Linux. In the previous two, we covered pulling data from SQL Server and MySQL/MariaDB to an R client on Windows. This time we’ll be pulling data...

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This R Data Import Tutorial Is Everything You Need

July 21, 2015
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This R Data Import Tutorial Is Everything You Need

You might find that loading data into R can be quite frustrating. Almost every single type of file that you want to get into R seems to require its own function, and even then you might get lost in the functions’ arguments. In short, it can be fairly easy to mix up things from time to The post

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