From 309ddfcfae79685caf3be517c0f755922e6c673a Mon Sep 17 00:00:00 2001 From: Jonas Nockert Date: Wed, 25 Nov 2020 14:16:10 +0100 Subject: [PATCH] Typo, as should be ask --- eda_checklist.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/eda_checklist.Rmd b/eda_checklist.Rmd index d93bc37..6758409 100644 --- a/eda_checklist.Rmd +++ b/eda_checklist.Rmd @@ -32,7 +32,7 @@ In this chapter we will run through an informal "checklist" of things to do when Formulating a question can be a useful way to guide the exploratory data analysis process and to limit the exponential number of paths that can be taken with any sizeable dataset. In particular, a *sharp* question or hypothesis can serve as a dimension reduction tool that can eliminate variables that are not immediately relevant to the question. -For example, in this chapter we will be looking at an air pollution dataset from the U.S. Environmental Protection Agency (EPA). A general question one could as is +For example, in this chapter we will be looking at an air pollution dataset from the U.S. Environmental Protection Agency (EPA). A general question one could ask is > Are air pollution levels higher on the east coast than on the west coast?