What users are saying about

Anaconda

Top Rated
33 Ratings

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Top Rated
126 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

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Top Rated
126 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.3 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

IBM SPSS

SPSS is useful in analyzing quantitative data to evaluate relationships among variables or groups of variables, to evaluate group differences in individual variables or groups of variables, to evaluate the psychometric properties of a measure or item, to manipulate and process data for use in reports and articles, to document analytical processes, and creating easily digestible analysis output. I use it in studies with thousands of participants responding to hundreds of questions. It enhances my ability to manage and use data.
Mark Jackson profile photo

Pros

  • Installing packages is very easy with Anaconda. Anaconda comes with 'anaconda navigator', a terminal-like utility from which you can easily install R packages and python libraries.
  • Launching R and python IDEs as well as Jupyter notebooks from anaconda navigator is simple, and Anaconda makes it very easy to keep these packages up-to-date.
  • I really like the fact that if you don't want to install the full version of Anaconda, you can opt to install a lightweight version (called Miniconda) that includes less python libraries and only core conda. I've installed it when I didn't want to take up as much disk space as Anaconda requires, but it works just the same.
Maike Holthuijzen profile photo
  • Generation of charts and graphs with statistical precision.
  • I get what it takes to perform data analysis without using other similar software.
  • It adapts to the needs of the statistical study that is intended to be carried out.
Rafael Mejias profile photo

Cons

  • Easier migration to cloud sharing
Daniel Blazquez profile photo
  • It slows down when using large volume of information.
  • The license seems expensive to me.
  • Being a specialized software requires prior knowledge in the area of statistics to make the most of it.
Rafael Mejias profile photo

Likelihood to Renew

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IBM SPSS9.2
Based on 14 answers
It's super easy to use for newbies and super powerful for power users! It does EVERYTHING you are usually asked to do analytically. Their Help Desk is PHENOMENAL. And I find the upgrade and renewal price to be a good deal.
Lance Huntley profile photo

Usability

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IBM SPSS7.9
Based on 8 answers
Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
Lance Huntley profile photo

Support

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IBM SPSS6.5
Based on 4 answers
Over the years I have had my issues with the software and the helpdesk has ALWAYS come through for me in as quick a time as you could have! A++ for their level of skill and professionalism.
Lance Huntley profile photo

Implementation

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IBM SPSS6.9
Based on 3 answers
Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
Rebecca T Barber, MBA, PHD profile photo

Alternatives Considered

Simple story. I tried both. Canopy felt somehow unintuitive to use.
Alexander Lubyansky profile photo
R and Microsoft Excel
Ariana Tart-Zelvin profile photo

Return on Investment

  • We save a lot of programming time, since all the add-ons are in the same environment.
  • Being multiplatform, Anaconda is perfect for work teams with many people, since it supports all operating systems.
  • The only negative thing that can happen is that at first, the way of working in Anaconda can be a bit confusing. Once passed the learning period, its daily use is very comfortable.
Alejandro Daniel Copati profile photo
  • In terms of simple analysis for internal reliability statistics (e.g. Cronbach's Alpha) SPSS was very helpful.
  • SPSS has been found easier to use by some colleagues than Excel, (these colleagues are on the lower end of technological capability) and using SPSS alongside RStudio and Excel has given us a variety of methods to accomplish one task.
  • The lack of readable user guides and online info hindered our ability to breach into the areas of internal validity testing that we were not familiar with. Updated guides are necessary.
Julie Ressalam, MPH profile photo

Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Anaconda More Information

IBM SPSS

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

IBM SPSS More Information