Dataiku DSS has a time series preparation plugin that includes a resampling recipe. You can use this recipe to resample time series data occurring in irregular time intervals or to change the intervals from an existing time scale to another.
To use the resampling recipe, first install the Time Series Preparation plugin on your Dataiku instance (see the Instructions for installing plugins). Once installed, you should see the summary page of the installed plugin shown below:
Before using the plugin with your dataset, make sure that the storage type for your date column is “date”. You can click the storage type for your date column and select “date” if this isn’t already the case.
Also, note that the plugin works with a parsed date column, that is, the column meaning (detected by DSS) is of “Date” type (highlighted by the blue oval in the following figure). The red box highlights the storage type.
To resample the dataset, do the following
A “Time series resampling” window opens up. In this window, you can specify values for the parameters to resample your dataset. For example, if you want to resample your dataset to daily time steps:
Save and run the recipe to build the resampled dataset.