“What we have is a data glut.” - Vernon Vinge
Data are being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Countless databases collect it. Data are arriving from multiple sources at an alarming rate and analysts and organizations are seeking ways to leverage these new sources of information. Consequently, analysts need to understand how to get data from these data sources.
Welcome to week 2! This week we will focus on:
Consequently, this week will give you a strong foundation for the different ways to get your data into R and understanding the basics of your data set. This will prepare you for your first challenge in completing your course project - that of acquiring your data!
Below outlines the tutorials that you need to review, and the assignments you need to complete, prior to Saturday’s class. The skills and functions introduced in these tutorials will be necessary for Saturday’s in-class activities.
First, learn the basics of importing and exporting tabular and spreadsheet data with R.
Now that you know how to get data into R, learn the process of getting a basic understanding of your data:
Now that you’ve gone through some initial tutorials, complete the Importing Data into R: Part 1 DataCamp assignment.
Now that you have the basics down, work through the Importing Data into R: Part 2 DataCamp assignment. This will take a deeper dive into the wide range of data formats out there. More specifically, you’ll learn how to import data from relational databases and how to import and work with data coming from the web. Finally, you’ll get hands-on experience with importing data from statistical software packages such SAS, STATA and SPSS.
You may feel overwhelmed with this material but that is okay. This advanced material is meant to give you exposure to the many data importing options available in R. If this was not overwhelming and you are still looking for more to learn prior to Saturday, then dig into this web scraping tutorial.
See you in class on Saturday!