Software Alternatives & Reviews

MarketSight VS Tinn-R

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

MarketSight logo MarketSight

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

Tinn-R logo Tinn-R

Tinn-R, the R code editor
  • MarketSight Landing page
    Landing page //
    2021-09-16
  • Tinn-R Landing page
    Landing page //
    2023-10-22

MarketSight

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

Tinn-R

Categories
  • Data Science And Machine Learning
  • Statistics
  • Data Science Tools
  • Data Analysis
Website sourceforge.net
Pricing URL-

MarketSight videos

An Introduction to MarketSight

More videos:

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

Tinn-R videos

Tinn-R quick tutorial

Category Popularity

0-100% (relative to MarketSight and Tinn-R)
Data Science And Machine Learning
Data Dashboard
64 64%
36% 36
Data Science Tools
40 40%
60% 60
Statistics
49 49%
51% 51

User comments

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What are some alternatives?

When comparing MarketSight and Tinn-R, 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.

SAS Advanced Analytics - SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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