Retrieve historical temperature data by latitude and longitude. — Introduction I have been working on some projects when I needed to find the average temperature by location to be able to add that as a possible variable to my model. After some time researching, I found this great and easy-to-use package in Python called meteostat. This pack has some interesting…

Understanding the Hierarchical Linear Models from this simple explanation with examples — Introduction Regression models are out there for a long time now, much longer before Machine Learning was a thing. Statisticians have been using these models to understand the relationship between variables even before the 1900s, when Sir Francis Galton (1885) introduced the idea. Fortunately, the theory has developed so much since…

If an error comes up in the middle of a function, that can be handled — Introduction One thing is true: if you ever coded, you faced an error. Period. Errors are not always a bad thing. I agree that they can drive us mad sometimes, especially if we have looked the code over and over again without finding the bug. …

Use R Language to create scores for observations based on many variables — Introduction The more I study about Principal Component Analysis [PCA], the more I like that tool. I have already written other posts about this matter, but I keep learning more about what’s “under the hood” of this beautiful math and, of course, I will share that knowledge with you. PCA is…

Use TidyText to create a nice and quick text analysis with R — Introduction Text everywhere! Since the Internet was spread around the world, the amount of textual data we generate everyday is ginormous. Only textual messages sent everyday, it is estimated that there are around 18 Billion of them circulating on a daily basis*. Now imagine the amount of news generated as well…

Use Cramer’s V test to check how strongly associated are two categorical variables — Introduction Feature selection is an important step for any data science project. …

Try these codes if you want to make your Python code cleaner and more readable. — I usually work with Python and R languages on my daily job. All of that “what’s the best programming language” rivalry aside, I like them both. …

A complete toolbox for those small tasks that we keep forgetting how to program. I work as a Data Scientist and I am constantly in contact — working or learning — with the latest technologies in the field. …

Sneak peek into my new book released in February. A little of my history If you follow my Linkedin page, you may already be aware that I am about to release a book called Data Wrangling with R with Packt Publishing. The issuing date is February 23, 2023. …