datasciencespecialization / datasciencespecialization.github.io Goto Github PK

GitHub looks good

https://github.com/cbryant1000/pa3test

A broken link under:

http://datasciencespecialization.github.io > Exploratory Data Analysis > Data Analysis using Twitter API and Python

Hi,
Often I observed that during swirl classes, the module expects you to write the code in exactly the same way the module was built to accept. Example

1. filter(cran,size>100500 & r_os=="linux-gnu")
2. filter(cran,size>100500 , r_os=="linux-gnu")
   both the above codes yield same result, but only 2 is accepted as corrected and allows to proceed further. It would be great if module accepts any code that yield correct results rather than expecting exact code it needed.

Secondly, when we try ntimes and cant get the answer, there should be an option to proceed further by showing the solution to problem where we struck. This way we can give n attempts and continue further when we no more solve the problem.

This link:

http://www.flaviobarros.net/2015/04/30/dockerizing-a-shiny-app/

I suspect this link will fix the problem. Note the missing g:

http://www.flaviobarros.net/2015/04/30/dockerizin-a-shiny-app/

or this one:

http://www.rmining.net/2015/04/30/dockerizing-a-shiny-app/

Hello,

On the following page:

https://github.com/DataScienceSpecialization/DataScienceSpecialization.github.io/blob/master/ddp.md

the Shiny Simulation tutorial link takes you to a an app that is hosted on my shinyapps account. A lot of people have been checking it out -- to the tune of about 600 user-hours per month. I feel the need to reduce this figure, so I wonder if you could instead link to my GitHub repo URL:

https://github.com/homerhanumat/shinyTutorials

The repo's README file contains instructions on cloning the repo and running the app locally. Coursera folks who are not GitHub users (presumably there are very few of these) would still have the option to view the remotely-hosted app.

Thanks,
Homer

https://github.com/git/git/tree/master

http://edgarsh.es/ins/working-with-files-in-bash/

I get erro "cpu_excedido"

maybe Spending interesting content for the page?

http://easycoder.io/code/6bda7

I created a R programing group web.
Link here

Maybe can add this link to Curated Pages
Because this is chinese edition, maybe more helpful for chinese students