from the same data. For example, you might want to create a data frame to aggregate the data by city or property_type while you want to keep the original data to be not aggregated. Creating different data frames that are separated from one another will create a maintenance nightmare. Instead, you can use Branch feature to ‘branch off’ from the original data frame and create multiple data frames that share the original data frame.
log in with her/his Exploratory account and open the Dashboard. If the person doesn’t have an Exploratory account then she/he can create it for FREE. The viewers can continue to view any contents at Exploratory Cloud as long as they are invited to view.
the data always up-to-date by querying against the data sources and applying all the data wrangling steps automatically. Note that you can schedule only the ones with remote data sources that can be accessed by Exploratory Cloud.