"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"
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"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."
"Really interesting! Here's also a very related article"
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
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
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
"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)."
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- Budding cognitive scientist and data scientist.
- My Web Site Or LinkedIn Profile
- http://www.linkedin.com/in/pablobernabeu/
- Professional Status
- Consultant
- Years of Experience:
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- Cognitive scientist. Data scientist
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- Finding a new position, Networking, New venture
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- http://r-bloggers.com
Pablo Bernabeu's Blog
Naive Principal Component Analysis in R
Posted on September 6, 2017 at 1:30pm 0 Comments 2 Likes
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,…
ContinueData visualization apps: What do they add?
Posted on July 15, 2017 at 4:00am 0 Comments 1 Like
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…
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