Exercises 4 - Reading Data

4.1 Read data contained in an R package.

1. Load the dcData and tidyverse packages. Use the

• Note: dcData is installed from GitHub, so it requires an extra step. - devtools::install_github("mdbeckman/dcData")
• this might take a while (30+ sec?) depending on your Internet connection After loading in the dcData package, read the BabyNames data from dcData into your R environment using the data() function as follows:
  data(BabyNames)
  Now you should see the BabyNames object in the Environment pane
  • Double click the object name to open a spreadsheet View
  • Spreadsheet view includes basic sorting capability!

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4.2 Read a .csv file from the web

The file “BabyNameSupp.csv” includes a few years of more recent data to augment the BabyNames data. The file can be downloaded straight to R from the link here:

https://github.com/jbpost2/Basics-of-R-for-Data-Science-and-Statistics/raw/master/datasets/BabyNamesSupp.csv

Read this file in using read_csv() from the readr package. Save the data as an object called BabyNamesSupp.

Note: Reading the data will produce a warning message! Read the warning message carefully; what seems to have gone wrong?

• Open the spreadsheet view to investigate BabyNamesSupp
• Can you confirm what seems to have gone wrong during the data intake?

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