Blog Archives

The First Date with your Data in R

June 3, 2018
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The First Date with your Data in R

The First Date with your Data in R So you have your data, now what? With a little R code, you can quickly get to The post The First Date with your Data in R appeared first on ProgrammingR.

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How To Make Your Data Analyst Resume Stand Out

February 5, 2017
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How To Make Your Data Analyst Resume Stand Out

To the typical reader, most technical resumes sound alike and share none of the unique personality behind the paper. For example, you may know that The post How To Make Your Data Analyst Resume Stand Out appeared first on ProgrammingR.

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Simple Anagram Finder Using R

November 27, 2016
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Simple Anagram Finder Using R

One of my early programming projects in Python was a word game solver (example: word jumble solver) – the early version was a simple script, which grew The post Simple Anagram Finder Using R appeared first on ProgrammingR.

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Webscraping with rvest: So Easy Even An MBA Can Do It!

November 6, 2016
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Webscraping with rvest: So Easy Even An MBA Can Do It!

This is the fourth installment in our series about web scraping with R. This includes practical examples for the leading R web scraping packages, including: RCurl package The post Webscraping with rvest: So Easy Even An MBA Can Do It! appeared first on ProgrammingR.

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Resume & Interview Tips For R Programmers

July 6, 2016
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Resume & Interview Tips For R Programmers

Speaking as a hiring manager, it doesn’t take much to stand out as a candidate for a statistical programming job. We just finished hiring the The post Resume & Interview Tips For R Programmers appeared first on ProgrammingR.

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Data Mining the California Solar Statistics with R: Part V

June 8, 2015
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Building a Shiny App to explore the model and the data About the Shiny App In my previous post I built several models to try to predict the amount of residential solar installed per county by quarter as a function of solar insolation, price of solar electricity, county population and county median income. To explore

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Data Mining the California Solar Statistics with R: Part IV

May 18, 2015
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Data Mining the California Solar Statistics with R: Part IV

Predicting the residential solar power installations by county by quarter in CA from 2009-2013 So far I have gathered three data sets and combined them into one which I will now use to try to predict the number of solar installations by county by quarter in CA from 2009-2013. The three data sets I am

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Data Mining the California Solar Statistics with R: Part III

May 11, 2015
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Data Mining the California Solar Statistics with R: Part III

Data Mining the California Solar Statistics with R: Part III Today I want to combine the California solar statistics with information about the annual solar insolation in each county as well as information about the population and median income. These can then be used as predictors in the models I'll build in the next post.

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Data Mining the California Solar Statistics with R: Part II

May 4, 2015
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Data Mining the California Solar Statistics with R: Part II

Data Mining the California Solar Statistics with R: Part II In today's post I'll be working some more with the working data set from California Solar Statistics. Last time I imported the data, cleaned it up a bit, grouped it by county and year, and made some plots to look at how residential solar installations

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Data Mining the California Solar Statistics with R: Part I

April 24, 2015
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Data Mining the California Solar Statistics with R: Part I

Data Mining the California Solar Statistics with R: Part I Intro Today I’m taking a look at the data set available from California Solar Statistics availalbe from https://www.californiasolarstatistics.ca.gov/. This data set lists all the applications for state incentives for both residential and commercial systems, it contains information about the PV (Photovoltaic) system size, location, cost,

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