describe data cleaning and data dredging

17.4.2 Add a simple scatterplot using ggplot.16.7 Tools in Support of Creating a DMP.15.5 Interactive visualization using leaflet and DT.15.4.2 Smarter tick labels using scales.15.2.1 ggplot vs base vs lattice vs XYZ….14.9 Sharing and releasing your package.14.8 Checking and installing your package.12.8 Changing shape: pivot_longer() and pivot_wider().12.5 Selecting/removing columns: select().11.12 Simple Guidelines for Effective Data.11.2 Benefits of relational data systems.10.2.1 Exercise: Create and merge pull requests.

8.2.1 Activity: Collaborating with a trusted colleague.8 Git: Collaboration and Conflict Management.7.9 Collaboration and conflict free workflows.7.7 Working locally with Git via RStudio.7.6 Create a remote repository on GitHub.7.3 Version control and Collaboration using Git and GitHub.6.7.1 Download the data to be used for the tutorial.6.3 Data repositories: built for data (and code).5.7.2 I just entered a command and nothing is happening.5.5.4 Use a function to read a file into R.

5.3.2 Logical operators and expressions.

4.5.2 Updating a previous R installation.

4.2.1 What is needed for computational reproducibility?.

4 RStudio and Git/GitHub Setup and Motivation.

2.2 About the Whole Brain Thinking System.

1 Reproducible Research Techniques for Synthesis.

Describe data cleaning and data dredging