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Easy Data Transform VS GenStat

Compare Easy Data Transform VS GenStat and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Easy Data Transform logo Easy Data Transform

Transform your data without programming.

GenStat logo GenStat

GenStat is a statistical and data analysing tools that is basically the pack of statistic tools and packages.
  • Easy Data Transform Landing page
    Landing page //
    2022-04-24
  • GenStat Landing page
    Landing page //
    2023-07-26

Easy Data Transform videos

+ Add

A Short Introduction To Easy Data Transform

GenStat videos

+ Add

Multi-treatment meta analysis with Genstat

More videos:

  • Review - Genstat Installation Window
  • Review - Importing an Excel Data Range into Genstat

Category Popularity

0-100% (relative to Easy Data Transform and GenStat)

Easy Data Transform

GenStat

Data Integration
100 100%
Data Integration
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Data Management
100 100%
Data Management
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

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What are some alternatives?

When comparing Easy Data Transform and GenStat, you can also consider the following products

Modern CSV - A CSV editor/viewer

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

Tabula - Tabula is a tool for liberating data tables locked inside PDF files. Extract tables from PDFs.

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

Talend - Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

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