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What is graphical inference?
The general idea of this post is to offer a brief summary of the meaning, the relevance, and the ways to use the concept of graphical inference to discover hidden patterns. Also, the general idea is to write this post in a plain language (instead of using an academic mindset) to understand the foundations. The…
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5 Basic questions and answers about high dimensional data
The main idea of this post is to answer what high dimensional data is, its main challenges at the moment to create a visualization and offer examples about the adequate plots for this kind of data. If you master this area and you want to explore some papers, you can check some of them in…
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5 Papers about high-dimensional data visualization
In this post I would like to share a small review about 1 article and 4 papers about how to manage visualization for high dimensional data. . 1. A tour through the visualization zoo The less academic article, and yet one of the best about visualization because it is elementary and provides a snapshot of…
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My experience at R unconference Chicago 2019
During the past weekend March 9th and 10th, I had the privilege to attend the RUnconference in Chicago. It was a fantastic event, where I got the chance to meet an incredible group of people and learn from them. What is an unconference? Inspired by the rOpenSci unconference series, the purpose of this event was encourage open…
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Implementing a data science process in your company
A few days ago I began to think about how a company could implement a data science process, understanding that this type of implementation is transversal to all areas since it involves data collection to the delivery of results. For a process of this nature to be successful, it also implies a change in the mindset of managers and executives. Moreover, for that, we need to show what are the main benefits of making such a profound change in any company.
It also involves looking for the appropriate profiles according to the type of company, so that they support the necessary daily tasks.This article deals with: what is data science, its benefits for a company, what a company needs to implement them and the necessary profiles.
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Without dictionaries there is no sentiment analysis
To perform a sentiment analysis all that we need is a dictionary and a text. In plain words the idea is: pick up a word from the text, verify the inclusion into the dictionary, and after that, the dictionary shows if it is positive or negative word and how negative or positive it is through…
