Exploratory Data Analysis with R

Setting the Stage: How to Organize Your EDA Working Area 6 lectures 42:25 The Course Overview This video will give you an overview about the course. Setting Up RStudio Project Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Organizing Project Structure (To Ensure Reproducibility) Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Coding Best Practice (Right Choices for Better Results) Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Using Git to Avoid Messing Up Your Analyses When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio Pro Tip – Tweaking RStudio Project Options to Force Reproducibility Reproducibility is always a relevant topic. Within some business field, it is even a normative requirement. This video gives you one more help to ensure it. • Get to know RStudio project options • Discover which are the RStudio default options related to workspace saving and loading • Set the RStudio options for your project so to help you ensure reproducibility Setting the Stage: How to Organize Your EDA Working Area. 6 lectures 42:25 The Course Overview This video will give you an overview about the course. Setting Up RStudio Project Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Organizing Project Structure (To Ensure Reproducibility) Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Coding Best Practice (Right Choices for Better Results) Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Using Git to Avoid Messing Up Your Analyses When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio Pro Tip – Tweaking RStudio Project Options to Force Reproducibility Reproducibility is always a relevant topic. Within some business field, it is even a normative requirement. This video gives you one more help to ensure it. • Get to know RStudio project options • Discover which are the RStudio default options related to workspace saving and loading • Set the RStudio options for your project so to help you ensure reproducibility The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. This video will give you an overview about the course. This video will give you an overview about the course. Setting Up RStudio Project Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Setting Up RStudio Project Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Setting Up RStudio Project Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Setting Up RStudio Project Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Dealing with data is a real error prone activity. It is easy to mess up thing, accidentally deleting data, or being unable to reproduce results previously obtained. A RStudio project can help you solve this issue. • Discover what reproducibility is and how RStudio projects can help • Discover the operational risks an RStudio project can help you address this • Create a RStudio project to host your analyses Organizing Project Structure (To Ensure Reproducibility) Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Organizing Project Structure (To Ensure Reproducibility) Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Organizing Project Structure (To Ensure Reproducibility) Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Organizing Project Structure (To Ensure Reproducibility) Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Not structuring your EDA project in a proper way, can become a big obstacle for the success of your EDA project. • Analyze the typical workflow of an EDA project, what it is made of, input, analysis, and output • Learn how a folder and files structure can better serve this workflow • Create this structure within your RStudio project, exploiting the power of system terminals. Coding Best Practice (Right Choices for Better Results) Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Coding Best Practice (Right Choices for Better Results) Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Coding Best Practice (Right Choices for Better Results) Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Coding Best Practice (Right Choices for Better Results) Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Coding without clear guidelines and handling data without clear rules can lead you to loss of information and data. • Learn how to structure your R code • Learn a set of minimal guidelines, to name R language objects, and structure your code • Learn how to protect the original input data from mess-up Using Git to Avoid Messing Up Your Analyses When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio Using Git to Avoid Messing Up Your Analyses When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio Using Git to Avoid Messing Up Your Analyses When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio Using Git to Avoid Messing Up Your Analyses When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio When working with a team on the same project, having a way to mark versions of your code and team-member contributions is of vital importance. • Learn what GIT is, and why it can solve typical problems of code versioning • Understand the logic beneath GIT • Exploit GIT within RStudio Pro Tip – Tweaking RStudio Project Options to Force Reproducibility Reproducibility is always a relevant topic. Within some business field, it is even a normative requirement. This video gives you one more help to ensure it. • Get to know RStudio project options • Discover which are the RStudio default options related to workspace saving and loading • Set the RStudio options for your project so to help you ensure reproducibility Pro Tip – Tweaking RStudio Project Options to Force Reproducibility Reproducibility is always a relevant topic. Within some business field, it is even a normative requirement. This video gives you one more help to ensure it. • Get to know RStudio project options • Discover which are the RStudio default options related to workspace saving and loading • Set the RStudio options for your project so to help you ensure reproducibility Pro Tip – Tweaking RStudio Project Options to Force Reproducibility Reproducibility is always a relevant topic. Within some business field, it is even a normative requirement. This video gives you one more help to ensure it ...