The Data Scientist's Toolbox Quiz 2 (Week 2) John Hopkins Data Science Specialization Coursera for the github repo https://github.com/mGalarnyk/datasciencecoursera/tree/master/1_Data_Scientist_Toolbox

quiz2.md

The Data Scientist's Toolbox Quiz 2 (JHU) Coursera

github repo for rest of specialization: Data Science Coursera

Question 1

Which of the following commands will create a directory called data in your current working directory?

• mkdir /Users/data

• mkdir data

• pwd data

• mkdir ../data

Answer:
mkdir data

Question 2

Which of the following will initiate a git repository locally?

• git merge

• git pull

• git init

• git push

Answer:
git init

Question 3

Suppose you have forked a repository called datascientist on Github but it isn't on your local computer yet. Which of the following is the command to bring the directory to your local computer?

(For this question assume that your user name is username)

• git pull https://github.com/username/datascientist.git

• git clone https://github.com/username/datascientist.git

• git init

• git pull datascientist master

Answer:

• git clone https://github.com/username/datascientist.git

Question 4

Which of the following will create a markdown document with a secondary heading saying "Data Science Specialization" and an unordered list with the following for bullet points: Uses R, Nine courses, Goes from raw data to data products

Option 1: 
*h2 Data Science Specialization

* Uses R

* Nine courses

* Goes from raw data to data product

Option 2:
### Data Science Specialization

* Uses R

* Nine courses

* Goes from raw data to data products

Option 3:
## Data Science Specialization

li Uses R

li Nine courses

li Goes from raw data to data products

Option 4:
*** Data Science Specialization

* Uses R

* Nine courses

* Goes from raw data to data products

Option 5:
## Data Science Specialization

* Uses R

* Nine courses

* Goes from raw data to data products

Answer:

## Data Science Specialization

* Uses R

* Nine courses

* Goes from raw data to data products

Question 5

Install and load the KernSmooth R package. What does the copyright message say?

• Copyright KernSmooth 1997-2009

• Copyright M. P. Wand 1997-2013

• Copyright M. P. Wand 1997-2009

• Copyright Coursera 2009-2013

install.packages("KernSmooth")
library("KernSmooth")

# Answer
# Copyright M. P. Wand 1997-2009