Course page: https://www.coursera.org/learn/data-scientists-tools
By Jeff Leek, PhD, Roger D. Peng, PhD, Brian Caffo, PhD
Get help from R:
?rnorm
help.search("rnorm")
# get the function arguments:
args("rnorm")
# See the code:
rnorm
R reference card downloaded.
To ask for help on a problem with R:
What steps to reproduce the problem ?
What did we expect to see ?
What did we see instead ?
What version of R and packages ?
What operating system ?
To ask for help on data analysis question:
What is the question we try to answer ?
What steps were used to answer the question ?
What did we expect to see ?
What did we see instead ?
What other solutions did we think about ?
Places to get info on data science questions:
Basic Markdown:
Headings with:
## This is a secondary heading
### This is tertiary heading
Unordered lists:
* Item 1
* Item 2
* Item 3
What is Data:
In a “set of items” = population
Variables = measurement of characteristics.
qualitative (discret scale) or quantitative (continuous scale)
Could be Raw file /
API / Video / Audio
Is the second most important thing: (The question is the most important thing)