When it comes to Data Analysis, both R and Python have become staples in the data science toolbox. But which one should you reach for when you’re about to dive into your next dataset? Let’s break it down. R: The OG of Data Analysis Pros: Cons: Python: The Jack of All Trades Pros: Cons: The Showdown: EDA Visualizations R’s ggplot2 is arguably more intuitive and offers a lot of customization. Python’s matplotlib and seaborn are powerful but require more effort…
Note to the readers: For this tutorial I will be posting and explaining multiple code blocks. I will not be posting code in a “Pythonic” or more advanced format. It is my opinion that longer more laid out blocks are easier to understand. If you disagree, please tell me why! However, if you see code repeated, this is intentional. Social media has become one of the most prominent aspects of our culture; even a zeitgeist of the early 21st century….
Data mining is a different type of task Data mining is a term used a lot out of context. For many, “data mining” is simply the act of acquiring and organizing data for cleaning, analysis, and presentation. I like to clarify the difference between the acquisition of data and actual data mining, where more advanced methods are applied. These methods are helpful in finding useful data in a large cluster. Patterns observed will help problem formulation and how you think…