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!
- [New Features on steemr] A Shiny app for the statistics of the Steem CN community!
What features did I add?
I added diagrams into the Shiny app
scner(). These diagrams include the word clouds of the Steemians of the CN community, as well as the histograms for the distributions according to the ESP, account value, online-days, etc..
Minor bugs were fixed as well.
How did I implement them?
I added two internal functions, i.e.
pcner() for plotting wordclouds chars, and
phist() for plotting enhanced and customized histograms, in ‘R/shiny.r’. New codes were added to the function
scner_server() to build the elements of the shiny app.
Link to relevant lines in the code on GitHub can be found mainly in my latest commit (click to see the details):