Brief Intro and curriculum
‘steemr’ is an open source R package for playing with Steem data in R environment. It is used to download, post process, analyze, and visualize Steem data on the basis of the powerful statistic power of R.
Previously on steemr:
- [New Project] steemr: an R package to download, play with, and visualize Steem data
- [New Features on steemr] Now steemr supports SteemSQL queries!
- [New Features on steemr] supports AppBase API and plots active hour diagrams!
- [New Features on steemr] Functions as vote reports!
- [New Features on steemr] Functions for accounts and comments report!
- [New Features on steemr] Functions for saving the posts and building an independent blog site!
- [New Features on steemr] Functions for delegation report and CNer report!
- [New Features on steemr] Functions for a user friendly UI as a follower report!
- [New Features on steemr] Diagrams in the follower shiny app!
What features did I add?
A new function
scner() displays a Shiny app, which is a user friendly interactive UI for the statistics of a group of Steemians, hereby those who are active in the CN community. It has the potential to be used for other groups of Steemians with some simple modifications to this function.
Shiny is an R package that makes it easy to build interactive web apps straight from R. It is very easy to use even for non-R users. The single command
scner() displays a webpage, on which a flexible data frame shows the data of the members in the CN community. The users can easily filter or order each column. If the users type an ID, then a brief report for the ID will appear.
How did I implement them?
I added the new function
scner() in ‘R/shiny.r’, as well as the internal functions
scner_server() which are the UI function and server function for
scner(). Auxiliary files were added into the /inst folder. Each part of the functions are well documented. Other files were updated automatically by compilation.
Link to relevant lines in the code on GitHub can be found mainly in my latest commit (click to see the details):