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Time Series Analysis With Documentation And Steps I Follow For Analytics Projects.

To do this I will create a prediction of the open values for Bitcoin in the next 3 days.

The process I follow is based on CRISP-DM methodology:

1.- Planning the activities.

To plan the activities I use a spread sheet document, below I show the spread sheet sample, if you would like the document, please go to the next link:

ActivityActivity DescriptionDueDateActivity OwnerStatusCommentsFunctional Requirement SpecificationA Text Document explaining the objectives of this project.4/19/2018Carlos KassabDone
Get Data For AnalysisGet initial data to create feasibility analysis4/19/2018Carlos KassabDone
ETL DevelopmentETL to get final data for next analysis4/20/2018Carlos KassabDone2018/04/19: In this case, there is not ETL needed, the dataset was downloaded from kaggle:…
Recent posts

Going from zero to R-Analytics with your team

Before to continue with the posts about how to do things with R, I have decided to describe how I lead the creation of an analytics team starting from zero.

My only intention here is for this information to be useful for companies looking to create their analytics team.

Well, first the first, the people for your team.

How many people is needed will depend on your company size or on the amount of money the company wants to invest in the analytics team creation but, at least you must have 2 developers, just ensure they are real developers.

Now, it is needed to define the software to use.

Database, for this I suggest to start small, let's say, using MariaDB, or SQLServer if you want to pay for a license, just ensure you can run analytic functions, some of them call them window functions, they are very useful when doing analytics. Please read this article to know more about window functions:

ETL software, unless …

What I did to use git with Rstudio on Ubuntu 16.04 and Elementary OS Loki.

This article was updated on July 7 2018.

Before installing anything I signed up on and created my R-ANALYTICS repository:
Now the installation and setup.
1. I installed git on Ubuntu, from a terminal window:
$ sudo apt-get update $ sudo apt-get install git
2.- I configured git:
I did this through the git config command. I provided my name and email address because git embeds this information into each commit. Open a terminal and run:
$ git config --global "Your Name" --> This is part of your link:, you see, my name is LaranIkal $ git config --global ""
To see all of the configuration items just type:
$ git config --list
As a note, it is saved to a file called ~/.gitconfig in your home folder.
Steps In Rstudio:

1.- Checking/Setting Rstudio right configuration to use Git/SVN: Menu→Tools→Global Options Select GIT/SVN tab at the …

Installing our R development environment on Ubuntu 16.04 And Elementary OS 0.4.1

Installing our R development environment on Ubuntu 16.04 And Elementary OS 0.4.1

As the first blog entry I thought it would be a good starting point describing how to setup a development environment on my preferred Linux distro - Ubuntu, in this case I am using LTS 16.04.

This article was created on March/16/2018 and updated on July/5/2018 to include installation on Elementary OS 0.4.1 - Loki. Yes, I am using Elementary OS now.

Note. One important thing to remember is that Elementary OS 0.4.1 is based on Ubuntu LTS 16.04 so, they are mostly compatible. There are some things different but it is minimum. The good thing about Elementary OS desktop is that, it is very fast, responsive and it is still supported by Elementary developers.

Note1. At the moment of updating this article, the new Elementary OS 0.5.0 was still on beta 1:
Elementary OS 0.5.0 Developer Preview: Juno Beta 1

Note. For Elementary, it is needed to install an additional package called gdebi, it is a simple tool to instal…