Data science and visualization

Learning Git and Github

Grant McDermott: Version control with Git(Hub)Daniel M. Sullivan: A brief intro to Git Learn Git BranchingMichael Stepner: git vs. Dropboxworldbank/DIME-Resources: Repo for all...

Jan Zilinsky May 2019 lists, Data science and visualization

Degrees and courses in Data Science

A year ago, I saw this announcement inside Harvard Yard:Observed in the habitat earlier today: pic.twitter.com/PCMUJOXQcE— Jan Zilinsky (@janzilinsky) August 30,...

Jan Zilinsky May 2019 Data science and visualization

Choosing colors for charts: examples and references

After ColorBrewer, now a very popular helper, what's next? Using these two tools, I stored several colors I want to use in my charts made in...

Jan Zilinsky July 2018 Stata - tips and tricks, Data science and visualization

Out of sample predictions from OLS regressions: a K-folds tutorial in R

Evaluating predictions out of sample, OOS. Splitting datasets into training and test, holdout data using R....

Jan Zilinsky July 2018 Data science and visualization

Pre-processing text data with tm, quanteda & tidytext packages

Suppose you start with some sentences / passages / documents, and you want to pre-process the corpus before generating a document-term matrix (DTM, or DFM). This post will...

Jan Zilinsky May 2018 Data science and visualization

Are American elections competitive? Swing states from 1916 to 2016

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Jan Zilinsky May 2018 Data science and visualization

Working more efficiently with RStudio

For most of social science work Stata is all we "need". But it costs money, it's not friendly if you need to show model...

Jan Zilinsky April 2018 Data science and visualization

NAs in R: some warnings (and a worked example; calculating standard deviations)

This post shows why is.na and !is.na are not ideal approaches to “clean” a dataset with missing values when we want to compute summary...

Jan Zilinsky September 2017 Data science and visualization

What every STATA user needs to know - how missing values are treated

This is a post for people who are learning Stata. A common source of mistakes is generating a binary variable that should classify observations according to...

Jan Zilinsky May 2017 Stata - tips and tricks, Data science and visualization

How to talk honestly about your (descriptive) regression

After running a regression, even if you just want to look at empirical correlations (i.e. you do not claim observed associations are causal) you will...

Jan Zilinsky March 2017 Data science and visualization

Using STATA: Bar charts with multiple groups using by() and over()

Let's compare Q1 GDP growth vs. the rest of each year, starting in 2009: Here is the code to make the above chart: graph bar ann_...

Jan Zilinsky May 2016 Stata - tips and tricks, Data science and visualization

Data visualization principle: Does the chart needs to be interactive?

Re-posting a reminder that: Yes, interactive charts can be engaging. But many viewers will not see the data that is not shown by default. It can...

Jan Zilinsky March 2016 Data science and visualization