Import the data into R and then view the data structure. This dataset contains the precipitation values collected daily from the COOP station 050843 in Boulder, CO for 1 January 2003 through 31 December 2013. You will use the 805333-precip-daily-1948-2013.csv dataset for this assignment. To get started, load the ggplot2 and dplyr libraries, set up your working directory and set stringsAsFactors to FALSE using options(). If you haven’t already downloaded this data (from the previous lesson), do so now.ĭownload Week 02 data Work with Precipitation Data R Libraries R skill level: Intermediate - To succeed in this tutorial, you will need to have basic knowledge for use of the R software program. Please be sure you have the most current version of R and, preferably, RStudio to write your code. Things You’ll Need To Complete This Lesson View names and rename columns in a ame.SECTION 15 LAST CLASS: FINAL PROJECT PRESENTATIONSĪfter completing this tutorial, you will be able to:.SECTION 14 FINAL PROJECTS & COURSE FEEDBACK DISCUSSION.SECTION 10 MIDTERM REVIEW / PRESENTATION BEST PRACTICES.SECTION 9 STUDY FIRE USING REMOTE SENSING DATA. 8.1 Fire / spectral remote sensing data - in R.
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