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Pablo Bernabeu
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Latest Activity

Pablo Bernabeu updated their profile
Oct 19
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
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
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
Pablo Bernabeu shared their blog post on Facebook
Jul 15
Pablo Bernabeu posted blog posts
Jul 15
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
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

Profile Information

Short Bio
Budding cognitive scientist and data scientist.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/pablobernabeu/
Field of Expertise
Analytics, Data Integration, Visualization
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,…

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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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