Software
We've compiled a list of 11 free and paid alternatives to Q Research Software. The primary competitors include R (programming language), RStudio. In addition to these, users also draw comparisons between Q Research Software and IBM SPSS Statistics, Stata, STATISTICA. Also you can look at other similar options here: About.
We've compiled a list of 11 free and paid alternatives to Q Research Software. The primary competitors include R (programming language), RStudio. In addition to these, users also draw comparisons between Q Research Software and IBM SPSS Statistics, Stata, STATISTICA. Also you can look at other similar options here: About.
142
R is a free software environment for statistical computing and graphics.
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61
IBM SPSS Statistics is a statistical data analysis software developed by IBM. It is used to process and analyze statistical data in various fields such as research, business, science, and social sciences.
55
Stata is a software product for statistical data analysis. It is widely used in research, social sciences, economics, and other fields. Stata allows you performin a variety of statistical analyses, including regression models, hypothesis testing, ti…
21
STATISTICA is a tried and true analytics platform with more than two decades of history in...
21
10
SAS is the leader in business analytics software and services, and the largest independent vendor...
1
MarketSight® is a web-based data analysis platform for analyzing and visualizing survey...
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Statwing was built by and for analysts, so you can clean data, explore relationships, and create...
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Q is for the interpretation, analysis, visualization and reporting of market research data.
Q is for the interpretation, analysis, visualization and reporting of market research data.
Windows
For novice to expert market researchers, Q quickly turns survey data into smart insights, beautiful visualizations and clever reports, using the most advanced analysis techniques. Use menus or code to do the most advanced analyses; while smart systems and automated interpretation of all levels of data means you will be totally self-reliant. No more waiting on ops teams, advanced quant teams or charting. Explore, analyze, report: Q does it all for you.
Statistical Testing
R programming
Crosstabs
Text and Sentiment Analytics
Automated Reporting
Predictive Modeling
Data analytics
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