# Videos

I will be making short videos to help you solve some common issues in R coding, but also with respect to the class material, as needed.

### Scatter plot?

In this video, I go over scatter plots and, in particular, how to do a scatter plot with two groups.

• Here you can find names of colors for R (but you can also use HEX colors)

### Cleaning data?

It’s very important to have a good grasp on some basic tidyverse functions, such as filter and mutate. In this video, I go through them with a toy data set that is easy to undertand

### Logarithms and Regressions: Interpretation

Short explanation on how to interpret coefficients and associations when Y or X (or both!) are in logarithms. Note: Only watch until the 3:21 mark.

### Logarithms and Regressions: The why

In this video I briefly go through the math of why we interpret changes in logarithms as percentage changes.

### Heteroskedasticity

What is this strange word and can we see it in data? What are the implications in terms of inference? Let’s see!

### Difference between percentage points and percent?

Let’s go over the difference between a percentage point change and a percent change, and when do we use each in the context of regressions.

### Setting a seed

Setting a seed is very important to make sure your results can be replicated. In this short video I show you how this works and some considerations to keep in mind!

### Week 10: In-class exercise

Let’s review the in-class exercise for Week 10. Here, I answer the most common questions about the code, so follow along (you can also skip through the different questions!).