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Join Ads Marketplace to earn through podcast sponsorships.
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Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
The Data Science Happy Warriors Podcast
Technology:Podcasting
The common complaint about data science is that 90% of your time is spent data wrangling. In this episode, I talk about some history that leads to this current state of data science work, and why you should embrace this. I also give some resources that will help you with your data wrangling at the raw level.
R Packages and Tools mentioned in this episode:
R:
Package Description lubridate Handing dates, datetimes, intervals, durations readr Reading in CSV and related textual files readxl Reading in Excel files jsonlite Reading, writing and manipulating JSON structures httr Reading HTML and extracting parts programatically dplyr + purr Simple grammar for common data manipulations
Command line tools:
Utility Description head Show first few lines of a text file less [-S] Pager to make sure data you look at doesn't scroll off the screen wc Count lines, words, and characters in a file csvlook Python package that helps format and manipulate CSV files from command line
2018-11-26
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