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Merge pull request #29 from 3mmaRand/feature/babs1-reviseW9
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Feature/babs1 revise w9
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3mmaRand authored Nov 24, 2024
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23 changes: 9 additions & 14 deletions r4babs1/week-9/overview.qmd
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Last week you summarised and plotted single variables. This week you will start plotting data sets with more than one variable. This means you need to be able determine which variable is the response and which is the explanatory. You will find out what is meant by "tidy" data and how to perform a simple data tidying task. Finally you will discover how to save your figures to file.



Last week you summarised and plotted data sets with one variable. This week you will start plotting data sets with more than one variable. This means you need to be able determine which variable is the response and which is the explanatory. You will find out what is meant by "tidy" data and how to perform a simple data tidying task. Finally you will discover how to save your figures to file.

### Learning objectives

- summarise and plot appropriately datasets with more than one variable
- summarise and plot, appropriately, datasets with more than one variable
- recognise that variables can be categorised by their role in analysis
- explain what is meant by 'tidy' data and be able to perform some data tidying tasks.
- save figures to file by scripting


### Instructions

1. [Prepare](study_before_workshop.qmd)

i. πŸ“– From importing to reporting

i. πŸ“– From importing to reporting

2. [Workshop](workshop.qmd)

i. πŸ’» Summarise and plot datasets with more than one variable.
ii. πŸ’» Practice with working directories, importing data, formatting figures and the pipe
i. πŸ’» Summarise and plot datasets with more than one variable.

ii. πŸ’» Practice with working directories, importing data, formatting figures and the pipe

ii. πŸ’» Script saving figures to file for reproducibility
iii. πŸ’» Script saving figures to file for reproducibility

3. [Consolidate](study_after_workshop.qmd)

i. πŸ’» Summarise and plot a dataframe from the workshop
i. πŸ’» Summarise and plot a dataframe from the workshop

ii. πŸ’» Practice the complete RStudio Project worklfow for a new dataset
ii. πŸ’» Practice the complete RStudio Project worklfow for a new dataset
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