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Hooked on Data

A data science blog by Emily Robinson

Recommended Resources for Starting A/B Testing
A/B Testing
Starter kits of resources for product teams and data teams get started with A/B testing.

Answers to your Career Questions
Career
My favorite resources for a variety of career dilemmas.

Publishing a Technical Book (Part 4): After the Book is Published
Career
Publishing
What it’s like after your book is finished and available in the wild.

Publishing a Technical Book (Part 3): The Writing Process
Career
Publishing
An inside look into how to find the time to write a book and what it’s like to work with a co-author and publisher.

Publishing a Technical Book (Part 2): Finding a Publisher
Career
Publishing
Demystifying how to find a technical book publisher, what they help with, and if you should think about self-publishing.

Publishing a Technical Book (Part 1): Why Do It?
Career
Publishing
What are (and aren’t) the benefits of writing a technical book?

What Types Should You Have on Your Pokémon Team? Efficient Simulation with Matrices in R
R
Code
Finding the best Pokémon type combinations for a maximally effective team.

Exploring Bob Ross paintings
R
Code
Visualization
Using the tidyverse and PCA to explore the features of Bob Ross’ paintings.

Introducing the funneljoin package
R
Code
How our new R package funneljoin makes it easy to analyze sequence of events.

Going Off the Map: Exploring purrr’s Other Functions
R
Code
A walkthrough of some lesser-known purrr functions.

The Lesser Known Stars of the Tidyverse
R
Code
Using exploratory data analysis to shine a light on other tidyverse functions and packages you may not know.

Guidelines for A/B Testing
A/B Testing
12 Guidelines to help you run more effective, trustworthy A/B tests.

Red Flags in Data Science Interviews
Career
What to look out for when interviewing for a new data science job.

Advice for Applying to Data Science Jobs
Career
Some tips for applying, interviewing, and negotiating for data science jobs.

The Importance of Sponsorship
Career
While many people know about mentorship, many fewer are familiar with sponsorship, even though it can actually be more important.

Building Your Data Science Network: Finding Community
Career
Where to find other people in your field.

Building your Data Science Network: Reaching Out
Career
How to effectively reach out to people in your field directly.

Making R Code Faster: A Case Study
Code
R
How I sped up my R code and went from it taking 3 minutes to run one iteration to taking less than a second to run 10,000.

Managing Business Challenges in Data Science
Career
A few tips to help you work more effectively with your non-analyst stakeholders.

Giving Your First Data Science Talk
Career
The why and how of giving a good data science talk.

RStudio Conference Recap
Conference
R
Some of my favorite parts about attending my first rstudio::conf.

RStudio Conference: Tips and Tricks
Conference
R
Code
A summary of my top technical takeaways from rstudio::conf(2017).

Topic Modeling the New York Times and Trump
Python
Visualization
Text Analysis
Code
How the New York Times covered Trump leading up to the 2016 election.

Better Plotting in Python with Seaborn
Python
Visualization
Code
An introduction to Seaborn so you too don’t almost quit your bootcamp over matplotlib.

Creating My First R Package Part 1
R
Code
My struggles with STATA and how it motivated me to want to create my first R package.

From Social Scientist to Data Scientist
Career
Reflections on starting my transition from social science academia into data science field.
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