What is Datasly?
Datasly is a light-weight and powerful data visualization tool for SAS®, CSV, R, Excel®, data formats. With Datasly, you can easily filter, search, group, re-order, export to Excel, plot, compute statistics on your data tables, and more!
The dataset is displayed in an enhanced data table to the right side of the form where the user can reorganise and filter columns, view summary statistics on any column, or rename, relabel, delete, and hide any column. Certain observations can also be flagged or highlighted. On the left, the list of variables can be filtered, re-ordered, etc.
Data can be filtered in using various methods such as using the SQL editor to construct SQL queries. Data can also be directly filtered in the dataset view by checking/unchecking values from a distinct value list in the column header, or by right clicking a specific value and choosing to keep or exclude it.
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.
You can easily view the 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.
Various chart types such as boxplot, line,bar, scatter, pie, bubble, and area charts can be generated be dragging variables from the data grid to the X and Y-axis of the charting window.
Furthermore, multiple series can be be plotted by dragging more than one variable to the Y-axis. The plots can be saved, shared and edited within Microsoft Excel.
Pricing
Choose between Datasly free and premium plans.
Note: Premium licenses are free for educational users (students & teachers).
Unlimited use of key features
Best suited for corporate use.
Open data files with .sas7bdat, .xpt, .csv, .RData, .xls, .xlsx extension. Sort & search data table. Select & copy cell values.
Data can be easily filtered 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.
Double-click on a column to view distinct values. Drag additional columns to select distinct values from several variables. Save the result as a data table and manipulate it.
Easily annotate your data and share it with collaborators. Highlight data issues with colors and discuss them in comments thread.
Data columns can be re-ordered, renamed, re-labeled, hidden or deleted. New variables can also be created with SQL formula editor.
Show scatter plot and summary statistics (n, mean, geo-mean, min, max, median, Q1, Q3, stdv, ...) based on a column values. Apply filters, zoom, click on points.
Purchase Data Analytics module to create pivot tables and charts by automating Microsoft Excel.
Save, open, share data tables and views as a Datasly project.
Export & save data to CSV, Excel format. View data in Microsoft Excel.
Execute SQL code in order 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.
The software installation is fast and easy, without the need for administrative rights.
Premium high-priority support with live chat, and fast e-mail feedback.
Bulk licensing offered in order to use single Product Key on various computers simultaneously
Licenses
Technical requirements of Datasly
Datasly can be installed on Microsoft Windows 7/8/10 operating system and doesn’t need administrative rights during installation. A portable version is also available. Datasly can be set as default program to open .xpt and .sas7bdat files. SAS® is not required to be installed on the computer.
The following components are required for using Datasly:
The Microsoft .NET Framework 4.5 is required and will be installed automatically if it is not already installed on the computer.
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