Publications by Dario Radečić
Machine Learning With R: Logistic Regression
Our little journey to machine learning with R continues! Today’s topic is logistic regression – as an introduction to machine learning classification tasks. We’ll cover data preparation, modeling, and evaluation of the well-known Titanic dataset. If you want to read the series from the beginning, here are the links to the previous articles:...
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Machine Learning With R: Logistic Regression
Classification fundamentals in R — code included Our little journey to machine learning with R continues! Today’s topic is logistic regression — as an introduction to machine learning classification tasks. We’ll cover data preparation, modeling, and evaluation of the well-known Titanic dataset. If you want to read the series ...
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Tableau vs. R Shiny: Which Excel Alternative Is Right For You?
tl;dr As of late 2020 there are many dashboarding/reporting/BI tools out there, with the most popular ones being Tableau, PowerBI, and R Shiny. The question quickly becomes – “How can I determine the right tool for my particular needs?” Today we’ll compare two of the most widely used tools at Fortune 500 companies: Tableau – an intui...
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Tableau vs. R Shiny: Which Excel Alternative Is Right For You?
How does R Shiny compare to drag and drop visualization tools like Tableau? As of late 2020, there are many dashboarding/reporting/BI tools out there, with the most popular ones being Tableau, PowerBI, and R Shiny. The question quickly becomes — “How can I determine the right tool for my particular needs?” Today we’ll compare two o...
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Web Scraping With R – Easier Than Python
A good dataset is difficult to find. That’s expected, but nothing to fear about. Techniques like web scraping enable us to fetch data from anywhere at any time – if you know how. Today we’ll explore just how easy it is to scrape web data with R and do so through R Shiny’s nice GUI interface. So, what is web scraping? In a nutshell, it�...
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A Step-By-Step Guide To Web Scraping With R
Let’s develop a real-time web scraping application with R — way easier than with Python A good dataset is difficult to find. That’s expected, but nothing to fear about. Techniques like web scraping enable us to fetch data from anywhere at any time — if you know how. Today we’ll explore just how easy it is to scrape web data wit...
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Rapid Internationalization of Shiny Apps: shiny.i18n Version 0.2
Rapid Multi-Language Support for Shiny Apps Have you ever created a multilingual Shiny application? Chances are the answer is yes, if you are a big fan of Appsilon‘s blog and have read our first article on the topic. If that’s not the case – fear not – we’ll cover everything you need to know today about how to rapidly add multi-languag...
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Top 10 dplyr Functions – Data Analysis Made Easy
I’ve been a Python fanboy for the last couple of years. The language is excellent for data science, and being a general-purpose language makes it that much easier to work on non-data-science parts of data science. But can R’s dplyr beat Python’s pandas in the data exploration and preparation domain? Yes, it can. Today we’ll see how to ...
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Top 10 dplyr Functions — Data Analysis Made Easy
Dplyr is easier and cleaner than Pandas. Do you dare to make a switch? I’ve been a Python fanboy for the last couple of years. The language is excellent for data science, and being a general-purpose language makes it that much easier to work on non-data-science parts of data science. But can R’s dplyr beat Python’s pandas in the data...
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PowerBI vs. R Shiny: Two Popular Excel Alternatives Compared
How does R Shiny compare to drag and drop visualization tools like PowerBI? Choosing the appropriate dashboarding/reporting/BI tool has never harder than it is now, as there are plenty of genuinely great options such as R Shiny, PowerBI, and Tableau. Today we’ll compare two widely used tools at Fortune 500 companies: PowerBI — a collecti...
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