Comment & color data
Easily add comments and colors to data cells, rows and columns. Save and share with collaborators.
Flag specific or groups of rows with a color
Filter & Search Columns
Filter and search for columns in the variable explorer tree view.
Save data views and load them to other data sets to apply same modifications across various data sets.
Move, delete, rename, relabel, hide, and sort columns in your data sets. You can also select one or multiple columns to move to the beginning of a data set.
Group all columns which have a relationship together with just a press of a button (e.g. timing variables, results, etc).
Filter & Search Data
Filter using various methods such as using the SQL editor, checking values from a distinct value list in the column header, or by right clicking a specific value and choosing to keep or exclude it.
View Distinct Values
View distinct values of a variable and the corresponding number of observations. Additional variables can be added by drag-and-drop. This will perform a multiple “select distinct ” SQL operation.
Open data files
Open data files in SAS (.sas7bdat and .xpt), Excel, CSV file formats. Share and open Datasly projects (.dvproj).
Open datasets from SAS session
Open datasets from work library of SAS session. You can work in SAS, and open your work datasets in parallel from Datasly to browse them more easily.
Execute SQL code to derive new datasets, edit current datasets, filter datasets, etc. Save and manage your SQL queries, build libraries of SQL code, and execute them on your datasets with ease.
Charting & Pivot Tables
Automate Excel to generate various charts and create pivot tables.
Statistics can be calculated on specific variables very easily. The mean, median, min, max, standard deviation,geometric mean, Q1, Q3, arithmetic mean CV, and geometric mean CV can be calculated, with the variable values plotted as points on a same vertical axis to easily spot outliers. Pivot tables can also be created to compute statistics grouped by specific variables.
Save, open, share data tables and views as a Datasly project.
Export & View Data in Excel
Export data views to Excel or CSV.
Use Datasly as a data viewer from R or SAS
Use Datasly as your data viewer straight from the SAS and R command prompt and programs
Automate with batch commands
Open a data file with Datasly from R, SAS, or anywhere else with batch commands. You can even convert datasets to Excel and run SQL queries from batch.
Set Datasly as the default program for opening .sas7bdat and .xpt files, and enable options in those files' context menu to launch them directly in Datasly.
Sign into your Datasly user account across different devices to have access to your premium features anywhere. Alternatively, enter your license key to have access to your paid features. Furthermore, licensing is offered in order to use single Product Key on various computers simultaneously
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