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Exploratory VS GenStat

Compare Exploratory VS GenStat and see what are their differences

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

Exploratory logo Exploratory

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

GenStat logo GenStat

GenStat is a statistical and data analysing tools that is basically the pack of statistic tools and packages.
  • Exploratory Landing page
    Landing page //
    2023-09-12
  • GenStat Landing page
    Landing page //
    2023-07-26

Exploratory videos

+ Add

1.3 Exploratory, Descriptive and Explanatory Nature Of Research

More videos:

  • Review - Exploratory Process Content Review
  • Review - Reviewing Your Data Science Projects - Episode 1 (Exploratory Analysis)

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 Exploratory and GenStat)

Exploratory

GenStat

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Business & Commerce
39 39%
Business & Commerce
61% 61
Data Science Tools
100 100%
Data Science Tools
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Exploratory and GenStat. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Exploratory seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Exploratory mentions (6)

  • Excel Never Dies
    I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / almost 2 years ago
  • Fast Lane to Learning R
    If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / about 2 years ago
  • Excel 2.0 – Is there a better visual data model than a grid of cells?
    Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / about 2 years ago
  • Why no love for Exploratory Desktop?
    I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: about 2 years ago
  • A Quick Introduction to R
    I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / over 2 years ago
View more

GenStat mentions (0)

We have not tracked any mentions of GenStat yet. Tracking of GenStat recommendations started around Mar 2021.

What are some alternatives?

When comparing Exploratory and GenStat, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

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

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