The outputs of a data science experiment >> A Crash Course in Data Science
TOTAL POINTS 5
1.The outputs of a data science experiment often include (check all that apply):
1 point
Reports
Interactive web pages and apps
2.Reproducibility tools for reports like knitr help with (check all that apply):
1 point
Reproducibility
Getting the data scientist to think about the report during analysis
Documenting the analysis
Version control
3.For maintainability of an data science app the following are useful (check all that apply):
1 point
Version control
Good code documentation
4.Example tools for reproducible report writing are (check all that apply):
1 point
ipython notebooks
knitr
dplyr
5.A good report practices is:
1 point
To cram as much detail in as possible
Document every blind alley and bit of minutiae from the analysis
Being clear written with concise conclusions
Related Questions & Answers:
What is data science? What is data science? >> A Crash Course in Data Science 1.Data science is 1 point Using data to answer ... Read more...
What is statistics good for? What is statistics good for? >> A Crash Course in Data Science TOTAL POINTS 5 1.We covered four example ... Read more...
Machine learning Machine learning >> A Crash Course in Data Science TOTAL POINTS 4 1.The lecture discussed two broad categories of ... Read more...
Defining Success in Data Science Defining Success in Data Science >> A Crash Course in Data Science TOTAL POINTS 4 1.Some ways we can ... Read more...
Data scientist toolbox Data scientist toolbox >> A Crash Course in Data Science TOTAL POINTS 4 1.What are some examples of languages ... Read more...
Separating hype from value Separating hype from value >> A Crash Course in Data Science TOTAL POINTS 4 1.Sara describes a project where ... Read more...