1546 search results for "how to import image file to R"

Analyzing Accupedo step count data in R

January 4, 2017
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Analyzing Accupedo step count data in R

Django and R on Heroku

January 2, 2017
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I’ve been playing with Django for a while now and I’m loving it. Don’t get me wrong, I still love Shiny, but Django is pretty tough to beat for data-heavy projects and managing user sessions. For deployment, I’ve been using Heroku and am very h...

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Introducing the VisualResume (v0.1.0) R Package

January 2, 2017
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Introducing the VisualResume (v0.1.0) R Package

Visual Resumes are cool Some years ago, during the course of one of my regular Google image searches for inspiring designs, I discovered Visual Resumes (aka. Infographic Resumes) like this one from Michael Anderson. I immediately fell in love. And of course, I quickly set out to create my own in R. The result is a new package called VisualResume....

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Building Shiny App exercises part 4

January 1, 2017
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Building Shiny App exercises part 4

APPLICATION LAYOUT & REACTIVITY The fourth part of our series is “separated” into two “sub-parts”. In the first one we will start building the skeleton of our application by using tabsetPanel. This is how we will separate the sections of our app and also organize its structure better. In the second part you will learn

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Turning KML into tidy data frames

Turning KML into tidy data frames

This note briefly introduces the tidykml package, which turns basic KML geometries into tidy data frames that can be visualized with ggplot2. Summary The tidykml package provides a quick way to import data from Google My Maps into R, in a format that makes it easy to manipulate the data and visualize it with ggplot2. Below is...

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Analyzing the 2015 California Health Interview Survey in R

December 27, 2016
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Analyzing the 2015 California Health Interview Survey in R

A few years ago, I wrote about how to analyze the 2012 California Health Interview Survey in R. In 2012, plans for Covered California (Obamacare in California) were just beginning to take shape. Today, Covered California is a relatively mature program and it is arguably the most successful implementation of the Affordable Care Act in the United...

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An Overview of Room Rentals in Sydney | RSelenium, rvest, Leaflet, googleway

December 27, 2016
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An Overview of Room Rentals in Sydney | RSelenium, rvest, Leaflet, googleway

Started another data scraping script similar to the post about rental rates in Houston; except this time i picked Sydney, Australia. The site that i’ve selected uses an awful lot of javascript, so the rvest package won’t be enough in … Continue reading →

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Did you say SQL Server? Yes I did….

December 23, 2016
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Did you say SQL Server? Yes I did….

Introduction My last blog post in 2016 on SQL Server 2016….. Some years ago, I have heard predictions from ‘experts‘ that within a few years Hadoop / Spark systems would take over traditional RDBMS’s like SQL Server. I don’t think … Continue reading →

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Exploring the European Social Survey (ESS) – pipe-friendly workflow with sjmisc, part 2 #rstats #tidyverse

December 22, 2016
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Exploring the European Social Survey (ESS) – pipe-friendly workflow with sjmisc, part 2 #rstats #tidyverse

This is another post of my series about how my packages integrate into a pipe-friendly workflow. The post focusses on my sjmisc-package, which was just updated on CRAN, and highlights some of the new features. Examples are based on data from the European Social Survey, which are freely available. Steps of the data analysis process

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Tree Troubles — Predicting Sidewalk Damage Resulting From Trees In NYC

December 21, 2016
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Tree Troubles — Predicting Sidewalk Damage Resulting From Trees In NYC

Introduction Tree roots growing under sidewalks often cause cracking or lifting of the pavement once the tree surpasses a certain size. This creates significant tripping hazards The post Tree Troubles -- Predicting Sidewalk Damage Resulting From Trees In NYC appeared first on NYC Data Science Academy Blog.

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