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MarketSight VS R-Fiddle

Compare MarketSight VS R-Fiddle and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

MarketSight logo MarketSight

MarketSight® is a web-based data analysis platform for analyzing and visualizing survey...

R-Fiddle logo R-Fiddle

A very simple online IDE for R Language.
  • MarketSight Landing page
    Landing page //
    2021-09-16
Not present

MarketSight

Categories
  • Data Science And Machine Learning
  • Statistics
  • Data Science Tools
  • Data Analysis
Website marketsight.com
Pricing URL Official MarketSight Pricing
Edit details

R-Fiddle

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Data Dashboard
  • Statistics
Website r-fiddle.org
Pricing URL-
Edit details

MarketSight videos

+ Add

An Introduction to MarketSight

More videos:

  • Review - MarketSight: Survey Data Analysis and Visualization
  • Review - MarketSight 10 Introduction

R-Fiddle videos

No R-Fiddle videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to MarketSight and R-Fiddle)

MarketSight

R-Fiddle

Data Science And Machine Learning
54 54%
Data Science And Machine Learning
46% 46
Data Dashboard
46 46%
Data Dashboard
54% 54
Statistics
56 56%
Statistics
44% 44
Data Science Tools
44 44%
Data Science Tools
56% 56

User comments

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What are some alternatives?

When comparing MarketSight and R-Fiddle, you can also consider the following products

Q Research Software - Q is for the interpretation, analysis, visualization and reporting of market research data.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Tinn-R - Tinn-R, the R code editor

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

NppToR - Description Similar to the windows R gui built in editor, NppToR aims to extend the functionality...

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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