Well, somehow it’s May and I’ve yet to share anything new. I’m a bit behind my goal of 12 posts for the year but I suppose there’s still time! Since starting at Pinterest, I’ve found myself putting down R and using much more Python. We have an awesome Jupyter setup with some internal libraries, notebook … Continue reading My Top 3 Methods & Functions From Pandas & Numpy
How many times have you said something you’ve later regretted? On top of that, how many times have you’ve posted something on Social Media that you’ve later regretted? Unfortunately, it’s probably happened to just about everyone and to make things just a bit worse, just about everything is saved on Social Media. Athletes such as … Continue reading Finding Problematic Tweets with Tweepy
I finally got around to doing some Text Analysis on my WhatsApp group chat using R. Here's what I found.
Ever since I realized I could export a WhatsApp group chat, I thought it would be cool to do a little analysis on the messages. Some of my best friends and I have been in a group chat since late 2014, October 20th, to be exact. Since then, a day hasn’t gone by where someone … Continue reading The group chat is LIT! Parsing WhatsApp with Python, R , & Tableau
I recently purchased a Mac as my personal machine. While working on my “Intermediate” Excel posts, I found myself needing to create and manipulate some sample data. Without Microsoft Excel and not wanting to shell out even more money for software, I turned to the next best of option: Google Sheets. Let’s face it, no … Continue reading Accessing Google Drive with R
In my last post, I shared some examples of "Intermediate” Excel functions in R, focusing on pivot tables and Vlookup. This week, I’m going to look at the same skills but in Python. While R and Python have some similarities, they certainly have their differences as well. I’ll try to point out the subtle differences … Continue reading “Intermediate” Excel With Python
Before finding my home at Fetch, I looked over tons of Job Descriptions. With everything becoming “data driven” these days, every role requires some familiarity with data and Microsoft Excel. I remember many of them requiring “Intermediate” skills, more specifically, pivot tables and Vlookup. While Excel is a solid starting point for organizing and manipulating … Continue reading “Intermediate” Excel with R