Links: steemit.com, cnsteem.com, busy.org, steemdb.com, steemd.com
Repo
https://github.com/pzhaonet/steemr
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!
New Features
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_ui()
and 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):