07.Rmd

# Walkthrough 3: Using School-Level Aggregate Data to Illuminate Educational Inequities

**Learning objectives:**

This chapter explores what aggregate data is, and how to access, clean, and explore it. 

## Slides

`r knitr::include_url("./R/2021-03-17/Ch9_walkthrough3.html")`

## Meeting Videos

### Cohort 1

`r knitr::include_url("https://www.youtube.com/embed/Z5KRaOgW0sk")`

<details>
  <summary> Meeting chat log </summary>
  
```
00:26:06	Ryan Woodbury:	Here's a bit of history and potential future directions for FRL metric: https://dataqualitycampaign.org/resource/accurate-student-poverty-data-is-crucial-to-supporting-all-students/
00:30:14	Isabella Velásquez:	here's another reference on FRPL; Urban Institute is coming up with an alternative measure (disclosure: my coworker is funding this project): https://www.urban.org/features/measuring-student-poverty-dishing-alternatives-free-and-reduced-price-lunch
00:31:39	Isabella Velásquez:	also want to share my favorite tweet :) https://twitter.com/andrewheiss/status/1021944992351186944?s=21
00:36:34	Ronak Patel:	Thanks for sharing those articles!
```
</details>