Datasly

Datasly is a feature-rich data visualisation tool allowing to view, manipulate, and search data easily, among many others.

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Man working on statistical analysis on his laptop

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!

Easy view of your data tables

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.

Filtering data

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.

Computing statistics

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.

Charting

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.

Explore your data tables in seconds

Re-organize and filter columns, view summary statistics on any column, or rename, relabel, delete, and hide any column. Open in Excel. Color and comment observations. Run powerful SQL queries. On the left, the list of variables can be filtered, re-ordered, etc.
Filtering data
Data can be filtered 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.
SQL queries
Execute SQL code in order to derive new datasets, edit current datasets, filter datasets, etc.
Save and manage your SQL queries, build & share libraries of SQL code, and execute them on your datasets with ease.
Computing statistics
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.
Charting
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).

FREE
4.99€/month
Free for universities
Modules
Features
Free plan
FREE

Unlimited use of key features

Premium plan
4.99€/month

Best suited for corporate use.

Edit
Analytics
Export
SQL
Plan pricing
Free Viewer
Open & View data files (SAS, Excel, CSV, RData)

Open data files with .sas7bdat, .xpt, .csv, .RData, .xls, .xlsx extension. Sort & search data table. Select & copy cell values.

Filter and search data

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.

View distinct values

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.

Color and comment data

Easily annotate your data and share it with collaborators. Highlight data issues with colors and discuss them in comments thread.

Compute derivations

Data columns can be re-ordered, renamed, re-labeled, hidden or deleted. New variables can also be created with SQL formula editor.

Summary statistics

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.

Charting & Pivot table

Purchase Data Analytics module to create pivot tables and charts by automating Microsoft Excel.

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Save Datasly project

Save, open, share data tables and views as a Datasly project.

Export data & View in Excel

Export & save data to CSV, Excel format. View data in Microsoft Excel.

Execute and Save SQL queries

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.

Easy Installation

The software installation is fast and easy, without the need for administrative rights.

Premium Live support

Premium high-priority support with live chat, and fast e-mail feedback.

Advanced License Management

Bulk licensing offered in order to use single Product Key on various computers simultaneously

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Licenses
Man getting organised over statistics

Premium features are free for universities!

You are a student or a teacher? Get free access to all premium features of Datasly for personal use at school or at home!

Find out more

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:

Microsoft NET

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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