Common Operations with Timetables for Finance

Clean data, resample and aggregate data, combine timetables and synchronize dates

Functions

`ismissing`	Find missing values
`rmmissing`	Remove missing entries
`fillmissing`	Fill missing values
`sortrows`	Sort rows of matrix or table
`retime`	Resample or aggregate data in timetable, and resolve duplicate or irregular times

retime Resample or aggregate data in timetable, and resolve duplicate or irregular times

`synchronize`	Synchronize timetables to common time vector, and resample or aggregate data from input timetables
`horzcat`	Concatenate arrays horizontally
`vertcat`	Concatenate arrays vertically

`summary`	Print summary of table, timetable, or categorical array
`timerange`	Time range for timetable row subscripting
`vartype`	Subscript into table or timetable by variable type
`withtol`	Time tolerance for timetable row subscripting

`rowfun`	Apply function to table or timetable rows
`splitapply`	Split data into groups and apply function
`findgroups`	Find groups and return group numbers

Subscript into a timetable with the timerange, withtol, or vartype functions.

Resample or aggregate data in a timetable to a new vector of row times.

Combine timetables by concatenation or by synchronizing their data to a common time vector.

Clean timetables that have missing, duplicate, or irregular times, and produce regular timetables.

This example shows how to use timetables to visualize and calculate weekly statistics from simulated daily stock data.

Convert financial time series objects to timetables