Instructor Notes
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Using RMarkdown
Instructor Note
Inline instructor notes can help inform instructors of timing challenges associated with the lessons. They appear in the “Instructor View”
Define terms and familiarize with the data
Instructor Note
It might be a good idea to check with Learners to see if they were able to get the R project created and the data downloaded to assess if running through the ‘Getting Started’ section is needed.
Use sticky notes / zoom reactions to check for completedness
Instructor Note
This data was collected between June 9 2021 and September 23 2022
The EXO2 collects data every 15 minutes.
Surface Water Column names: 1. X - default column, row number 2. timestamp - the day / time of measurement 3. Temp_PT_C - the temperature measured 4. yearMonth - the year and month of each measurement 5. Level_ft - water stage data
Ground Water Column names: 1. X - default column, row number 2. timestamp - the day / time of measurement 3. GW_Temp - the temperature measured 4. alphaQf - a QA/QC flag for the data 5. betaQf - a QA/QC flag for the data 6. betaQfMAD - a QA/QC flag for the data 7. yearMonth - the year and month of each measurement 8. wetQf - data QA/QC flag indicating wet or dry 9. GW_Level_ft - water stage data
Clean data collected from the field
Instructor Note
Make sure everyone knows what datasets we are using and to upload now.
Manipulating a time series data frame
Instructor Note
Make sure everyone knows what datasets we are using and to upload now.