## What is Datasly?

Datasly is a light-weight and powerful data visualization tool for SAS®, CSV, Excel® data formats. With ClinViewer, 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.

Viewing Distinct Values

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.

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.

## 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 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.

Viewing Distinct Values

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.

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.

## Download Datasly

Press the below button to be redirected to our website for downloading Datasly!

Download