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Pablo Bernabeu
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Latest Activity

Daniyal Shaikh liked Pablo Bernabeu's blog post Data visualization apps: What do they add?
Mar 12, 2018
Pablo Bernabeu liked Emmanuelle Rieuf's blog post 7 Visualizations You Should Learn in R
Jan 30, 2018
Pablo Bernabeu liked Sigrid Keydana's blog post R for hackers
Jan 23, 2018
Pablo Bernabeu commented on Paris Granville's blog post Using Algorithms to Identify Serial Killers
"Nice article! I'd also like to share another interesting article, not altogether unrelated: https://www.theguardian.com/inequality/2017/aug/08/rise-of-the-racist-robots-how-ai-is-learning-all-our-worst-impulses"
Jan 2, 2018
Pablo Bernabeu liked Lee Baker's blog post Statistics is Dead – Long Live Data Science…
Dec 25, 2017
Pablo Bernabeu commented on Lee Baker's blog post Statistics is Dead – Long Live Data Science…
"Awesome post. Perhaps those 'lunatics' -affectively dubbed- are just very human persons. Nobody likes uncertainty, of all things, in any degree. Plots and predictions might better suit our natural preference."
Dec 25, 2017
Pablo Bernabeu updated their profile
Oct 19, 2017
Pablo Bernabeu commented on William Vorhies's blog post Why R is Bad for You
"Really interesting! Here's also a very related article"
Jul 31, 2017
Pablo Bernabeu posted a blog post

Data visualization apps: What do they add?

Dashboards for data visualization, such as Tableau or R Shiny, enable an interactive exploration of data in the form of plots or tables, through a programming-free interface with drop-down lists and checkboxes. The apps can be useful for both the data analyst and the public.Visualization apps may be privately consulted as well as published online. There are two main platforms: R Shiny and Tableau. Shiny has a free starter license with limited use, where free apps can handle a certain amount of…See More
Jul 20, 2017
Pablo Bernabeu posted a blog post

Data visualization apps: What do they add?

Dashboards for data visualization, such as Tableau or R Shiny, enable an interactive exploration of data in the form of plots or tables, through a programming-free interface with drop-down lists and checkboxes. The apps can be useful for both the data analyst and the public.Visualization apps may be privately consulted as well as published online. There are two main platforms: R Shiny and Tableau. Shiny has a free starter license with limited use, where free apps can handle a certain amount of…See More
Jul 17, 2017
Pablo Bernabeu shared their blog post on Facebook
Jul 15, 2017
Pablo Bernabeu posted blog posts
Jul 15, 2017
Pablo Bernabeu's blog post was featured

Data visualization apps: What do they add?

Dashboards for data visualization, such as Tableau or R Shiny, enable an interactive exploration of data in the form of plots or tables, through a programming-free interface with drop-down lists and checkboxes. The apps can be useful for both the data analyst and the public.Visualization apps may be privately consulted as well as published online. There are two main platforms: R Shiny and Tableau. Shiny has a free starter license with limited use, where free apps can handle a certain amount of…See More
Jul 14, 2017
Pablo Bernabeu replied to Sahil Sikka's discussion Combining data from different sources into a data set
"I guess that you need the functions cbind() or merge(). Use cbind() if you have same row lengths in the data sets you have to bind. Use merge() if you have data sets that share at least one column (these need not have same length)."
Jun 5, 2017

Profile Information

Short Bio
Budding cognitive scientist and data scientist.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/pablobernabeu/
Professional Status
Consultant
Years of Experience:
2
Your Job Title:
Cognitive scientist. Data scientist
Interests:
Finding a new position, Networking, New venture
What Other Analytical Website do you Recommend?
http://r-bloggers.com

Pablo Bernabeu's Blog

Naive Principal Component Analysis in R

Posted on September 6, 2017 at 1:30pm 0 Comments

Principal Component Analysis (PCA) is a technique used to find the core components that underlie different variables. It comes in very useful whenever doubts arise about the true origin of three or more variables. There are two main methods for performing a PCA: naive or less naive. In the naive method, you first check some conditions in your data which will determine the essentials of the analysis. In the less-naive method, you set the those yourself,…

Continue

Data visualization apps: What do they add?

Posted on July 15, 2017 at 4:00am 0 Comments

Dashboards for data visualization, such as Tableau or R Shiny, enable an interactive exploration of data in the form of plots or tables, through a programming-free interface with drop-down lists and checkboxes. The apps can be useful for both the data analyst and the public.

Visualization apps may be privately consulted as well as published online. There are two main platforms: R Shiny and Tableau. Shiny has a free starter license…

Continue

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