Wizard 1.6.0

Easy-to-use yet powerful utility for data analysis and statistics
Wizard - Wizard allows you to import CSV or XML files and analyze them.
  7 Screenshots
Wizard is a Mac OS X application that will allow you to analyze and trace patterns in your CSV and XML documents.

You will be able to explore any data that can't be viewed with Excel. The similarities will be displayed in a matter of seconds and in several forms: statistically, graphically and verbally.

Discover the patterns in your data and what insights you've been missing with Wizard.

Main features:

  • Open XLS, CSV and tab-delimited documents
  • View summary statistics
  • View, sort and filter data
  • View tabulations
  • Pie charts, scatterplots and histograms
  • Create any number of tables, predictions and models

last updated on:
December 9th, 2014, 9:55 GMT
file size:
4.5 MB
price:
$79.99
 
license type:
Demo 
developed by:
Evan Miller
operating system(s):
Mac OS X 10.7 or later
binary format:
Intel only
category:
Home \ Business
Wizard

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7 Screenshots
Wizard - In the Pivot tab, you can tabulate the data using one or more pivots.Wizard - A summary of the analyzed data will be displayed in the third tab.WizardWizardWizardWizard
What's New in This Release:
  • Duration data: Support for importing and formatting time durations as HH:MM:SS or other formats. Great for analyzing e.g. race results.
  • Combine Pivot functions - You can now add, subtract, multiply, and divide columns in the Pivot table for more insightful reports.
  • Organize filter sets: If you spend a lot of time with Filters, the new version will let you name and organize an unlimited number of filter sets easily. That way you can switch between subsets of the data without having to reselect all the filter conditions individually.
  • Indicator Variables with "OR" conditions: In previous versions, Indicator Variables were equal to 1 when all of the conditions are true. In this version, you have a new option to set the value to 1 when any condition is true.
read full changelog

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