No. I am not talking about data that is stellar, this post is going to be talking about the data that is available from the Stellar network - although it is also a stellar data source. Stellar The Stellar network is an open source protocol for exhanging money that is faster than previous altcoins and Bitcoin with transactions and operations being confirmed on ledgers which close approximately every 5 seconds.
This post contains referral links I didn’t buy any cryptocurrency during the 2017 spike, instead I waited for the decline to start properly investigating them. During my investigation I came across faucets, which essentially redistribute ad revenue to users. However, as ad revenue can be fairly low are faucets worth the effort? What is a faucet? Faucets are rewards pages that dispense satoshi (or other cryptocurrencies) as recompense for an action.
Err... to R! - One more thing...
The house that code built
That is all for this series for now, hopefully you found it useful and it has started you on a coding journey. As I said at the beginning of this series R is brilliant, however to assume it will be around and the perceived “best tool for the job” forever is naive. I wasn’t only talking about another language being created in the future, but whether R is the language you feel most comfortable using right now.
Err... to R! - Building functions
Can we build it? After a couple of attempts, probably, yeah.
This is it. This post will guide you through building a function, from the general form to an example using the topics covered in this series. A rule of thumb I like is if you write the same piece of code three or more times you should put it into a function, because you are using it consistently. Building a function A function is just a set of code that we can use repeatedly and returns a predetermined value.
Err... to R! - Inputs and Outputs
Not everyone can huddle around your computer, and data entry is tedious
Throughout this series we have utilised data sets that are available in R, however we haven’t discussed how to load in external data. Additionally we have created new tables and plots with no description or explanation on how to export them. Let us now discuss how we can import and export data into R. Before we go any further let us bring up a point which has been discussed previously and is needed once again.
