Track your Data Pipelines
dplyr modifying operations
dplyr modifying operations
Anti join
dplyr modifying operations
Set operations
Set operations
Start capturing exclusions on a tracked dataframe.
Add a generic comment to the dtrackr history graph
Add a subgroup count to the dtrackr history graph
Distinct values of data
Convert Graphviz dot content to a SVG
dtrackr: Track your Data Pipelines
Exclude all items matching one or more criteria
Get the dtrackr excluded data record
Filtering data
Flowchart output
Full join
Stratifying your analysis
Group-wise modification of data and complex operations
Get the dtrackr history graph
Include any items matching a criteria
Inner joins
Set operations
Left join
dplyr modifying operations
Nest join
dplyr modifying operations
dplyr modifying operations
Anti join
dplyr modifying operations
Set operations
Set operations
Start capturing exclusions on a tracked dataframe.
Clear the dtrackr history graph
Add a generic comment to the dtrackr history graph
Copy the dtrackr history graph from one dataframe to another
Simple count_if dplyr summary function
Add a subgroup count to the dtrackr history graph
Distinct values of data
Exclude all items matching one or more criteria
Get the dtrackr excluded data record
Filtering data
Flowchart output
Full join
DOT output
Get the dtrackr history graph
Stratifying your analysis
Group-wise modification of data and complex operations
Include any items matching a criteria
Inner joins
Set operations
Left join
dplyr modifying operations
Nest join
Pause tracking the data frame.
Reshaping data using tidyr::pivot_longer
Reshaping data using tidyr::pivot_wider
Summarise a data set
dplyr modifying operations
dplyr modifying operations
dplyr modifying operations
Resume tracking the data frame.
Right join
dplyr modifying operations
Semi join
Set the dtrackr history graph
Set operations
Slice operations
Slice operations
Slice operations
Slice operations
Slice operations
Slice operations
Add a summary to the dtrackr history graph
Summarise a data set
Retrieve tagged data in the history graph
Start tracking the dtrackr history graph
dplyr modifying operations
Remove a stratification from a data set
Set operations
Set operations
Remove tracking from the dataframe
Pause tracking the data frame.
Pipe operator
Reshaping data using tidyr::pivot_longer
Reshaping data using tidyr::pivot_wider
Plots a history graph as html
Print a history graph to the console
Objects exported from other packages
Summarise a data set
dplyr modifying operations
dplyr modifying operations
dplyr modifying operations
Resume tracking the data frame.
Right join
Save DOT content to a file
dplyr modifying operations
Semi join
Set operations
Slice operations
Slice operations
Slice operations
Slice operations
Slice operations
Slice operations
Add a summary to the dtrackr history graph
Standard paper sizes
Summarise a data set
Retrieve tagged data in the history graph
Start tracking the dtrackr history graph
dplyr modifying operations
Remove a stratification from a data set
Set operations
Set operations
Remove tracking from the dataframe
Track and document 'dplyr' data pipelines. As you filter, mutate, and join your way through a data set, 'dtrackr' seamlessly keeps track of your data flow and makes publication ready documentation of a data pipeline simple.
Useful links