From c46055894f4e6e6b746912e192b45a0704e142c2 Mon Sep 17 00:00:00 2001 From: Julien Brun Date: Thu, 21 Mar 2024 09:45:40 -0700 Subject: [PATCH] update to 2024 data repo --- modules/week01/hw-01.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/week01/hw-01.qmd b/modules/week01/hw-01.qmd index acd99e1..e15e107 100644 --- a/modules/week01/hw-01.qmd +++ b/modules/week01/hw-01.qmd @@ -4,7 +4,7 @@ title: "Week 1 - Data modeling exercise" Create a table definition for the Snow_survey table that is maximally expressive, that is, that captures as much of the semantics and characteristics of the data using SQL's data definition language as is possible. -In the [class data GitHub repository, week 1 directory](https://github.com/UCSB-Library-Research-Data-Services/bren-meds213-spring-2023-class-data/tree/main/week1) you will find the table described in the metadata (consult 01_ASDN_Readme.txt) and the data can be found in ASDN_Snow_survey.csv. You will want to look at the values that occur in the data using a tool like R, Python, or OpenRefine. +In the [class data GitHub repository, week 1 directory](https://github.com/UCSB-Library-Research-Data-Services/bren-meds213-spring-2024-class-data/tree/main/week1) you will find the table described in the metadata (consult 01_ASDN_Readme.txt) and the data can be found in ASDN_Snow_survey.csv. You will want to look at the values that occur in the data using a tool like R, Python, or OpenRefine. Please consider: