Statistical software are specialized computer programs which help you to collect, organize, analyze, interpret and statistically design data.

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There are two main statistical techniques which help in statistical data analysis: descriptive statistics and inferential statistics.

Descriptive statistics organize data from a sample using indexes. Inferential statistics draw a conclusion from data that is a random variant. Securecrt 8.0 download.

Statistics are crucial for organizations. They provide factual data which is critical in detecting trends in the marketplace so that businesses can compare their performance against their competitors.

Benefits of statistial analysis

• Statistical analysis allows businesses to make crucial decisions about projects.
• It helps identify trends in the marketplace that can determine whether a project is right to invest in or not.
• Business statistics help project future trends for better planning.
• If you are considering risk factors for specific project that your company wants to roll out then statistics are necessary.

This article is about the best statistical software available in the market and online. It will help cut down your manual processes and introduce smarter ways of handling your company data and information.

The Best Statistical Analysis SoftwareCompared (in full)

By the end of this article you will know which software is best for your business. Check all the software in detail according to your needs and choose wisely.

1. MaxStat

This is a very easy-to-use and affordable statistical software available online. Three easy steps are required to finish the statistical analysis within a single dialog box. Since it provides step by step analysis it is handy for students and young scholars.

Features:

• If you are not a professional statistician, MaxStat helps you opt for the best statistical tool for your requirements. You just have to give information about your data and MaxStat will automatically choose the best statistical tool.
• MaxStat is very easy to understand and can carry out your tasks efficiently. You can learn the basics of statistics and do the documentation via online tutorials available on MaxStat.
• The results you get at the end of each analysis are easy to understand. You don't have to be an expert to interpret the results scientifically.

Pricing:

You can use the lite version of MaxStat or you can purchase the licensed version whose cost starts from €39 for students and € 79 for other users.The cost increases with additional features.

2. WizardMac

In WizardMac, no typing or programming is required for data analysis. Any professional can start their survey with the help of WizardMac. The predictive models help to make the business choices very easy.

Features:

• WizardMac provides you with simple graphical results which help you understand and analyze the results easily.
• It can predict the results from the one or more selected options.
• WizardMac can make specific predictions after creating the predictive model with the help of sliders and pop-up buttons

Pricing:

A free trial version of WizardMac is available. The more features available in a package, the higher the price.

3. AcaStat

AcaStat is one of the best statistical analysis tools available online and it analyses data using very simple statistical tools. It does statistical analysis rapidly and makes it simple.

Features:

• It can format the variables and value labels, set missing values, use controls and recode variables.
• AcaStat for MAC and Windows allows data to be selected from spreadsheets; copy and paste, drag and drop into the tool.
• After the data analysis is complete the user obtains the result for further analysis. StatCalc for Windows helps with result comparison and analysis.
• It designs the frequency tables, descriptive statistics, OLS and logistic regression and more.

Pricing:

AcaStat products start from $9.99 and then the price increases with the increase in features.

4. NCSS

A large number of statistical and graphical tools to analyze data are available on NCSS software. It provides facilities like organized documentation, free training videos and a 24/7 email support team.

Features:

• You can import or export data using the Data window. Quick and easy numeric results can be obtained within a few steps using NCSS.
• You can manage the data with the help of filtering and alteration features of NCSS.
• It is easy to choose the best analytical procedure for your data by using the drag and drop menu, the procedure search or the category tree.
• The personalized plot can be designed according to the requirement of the user to analyze the data. NCSS gives control to users to select the layout, symbols, titles and many more.
• The end result obtained by NCSS can be directly used for further processing and is ready to be viewed, copied, pasted or saved.

Pricing:

The annual subscription of NCSS is available from $239. It can be upgraded from $199 for additional features.

5. Statwing

Statwing is one of the fastest statistical tools available in the market. Users can perform tasks 5 times faster in Statwing than they would in MS Excel or other statistical tools such as R or SPSS.

Features:

• Its easy-to-use interface allows new users to generate insight from their data.
• Its state-of-the-art and intuitive interface chooses statistical tests on its own in the background and then provides results in understandable and simple English.
• Statwing also takes into account outliers which allow analysts to be confident in their analysis/results.
• It understands analysts' data structure in such a good manner that it automatically creates several kinds of charts such as histograms, scatterplots, bar charts etc. which can be easily exported to PowerPoint or Excel spreadsheets.

Pricing:

A free trial of Statwing software is available for users. The cost of services increases with additional features.

6. XL STAT

XL Stat is statistical software which has lots of features to meet user needs. It is compatible with Microsoft Excel and can be used on PC and Mac.

Features:

• The software can be easily combined with MS EXCEL to make statistical analysis easy.
• XLStat allows you to do data analysis, data mining, testing, modelling and visualization and provides you with the quick statistical data analysis.
• Over 200+ statistical analysis solutions are available for users to select according to their requirements.

Pricing:

A free trial of XL Stat is available for users. The price increases with additional features from $275/year/user.

7. Stata

/lg-harmony-unlock-code-free.html. Stata is a unified software which provides you with the complete package required for data analysis, management and graphics.It is one of the most important softwares available online for statistical analysis.

Features:

• With both point-and-click interface and a powerful intuitive command syntax, Stata is quick, authentic and easy to use.
• Stata provides you with lots of statistical features from standard methods such as basic tabulations and summaries to advanced features like multilevel models.
• It gives you complete control over data; you can combine and amend datasets, regulate variables, and compile statistics across groups.
• Advanced tools are available to handle specialized data such as survival/duration data, time-series data etc.

Pricing:

A free trial of Stata is available for customers and users can contact Stata for a further price quote.

8. IBM SPSS

IBM SPSS is an analytical software from IBM. It provides numerous statistical analytics such as text and entity analysis, automated modelling and decision management and development.

Features:

• It has an easy-to-use interface. Everyone from beginners to expert analytics can analyse and produce the required results.
• Advanced features available on cloud help to discover patterns and trends in structured and unstructured data with a spontaneous visual interface.
• The quality of data and products is maintained and kept accurate with the help of entity analytics.

Pricing:

IBM provides you with the service to statistically analyze your data at an affordable rate of $99/one-time/user.

9. SAS

SAS is perfect for traditional analysis of variance and linear regression and meets both specialized and enterprise-wide statistical needs.

Features:

• SAS uses the newest techniques for statistical analysis and large data tasks for any size of data sets.
• You can easily create documented and verified code as per your requirements to fit governmental and corporate compliance needs.
• 24/7 technical support staff is available with SAS to provide you with high quality of service and knowledge.
• The software is organized in such a way that it helps you to access and manage data, build and deploy statistical models.

Pricing:

To receive a free trial of the software and a personalized pricing quote according to your requirements contact SAS.

10. MINITAB

Minitab is one of the best statistical softwares available online. More than 90% of Fortune companies and around 4000 colleges and universities around the world use Minitab to create and analyze data.

Features:

• The software allows you to easily transfer Microsoft Excel XlSX files directly into Minitab Express.
• You can evaluate confidence intervals for a parameter of interest such as median or proportion using available resampling techniques.
• Minitab helps you to find the best regression equations with the help of a model reduction technique.

Pricing:

The pricing of Minitab starts from $29 for six months and increases to $49 annually for additional features.

Conclusion

Any of these 10 online statistical analysis softwares can be helpful to your business. Choose the best according to your requirements and start the analysis process.

Is there any better online software we have missed? Share it in the comment box below and we’ll look forward to reviewing it.

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AI is adept at many tasks, but reading social cues isn’t always one of them. It’s notoriously bad at understanding nuance, which results in misguided yet funny failed attempts.

That’s because it’s hard to teach machines what people really mean. Until someone builds formulas for sarcasm detection, training AI systems to detect emotions remains a mighty task. Luckily, advancements in text analysis are moving us in the right direction—a 2017 Gartner survey found that 79% of respondents already use or expect to use text analytics (full content available to Gartner clients).

What is text analysis?

Text analysis is the process of finding information from text sources, including emails and survey answers. These sources are unstructured data—that is, any data that’s not stored in a fixed format.

Text analysis involves reading unstructured data from a range of sources with the goal of finding business insights—processes your colleagues currently do by hand that you can automate for faster results. To achieve this, text analysis in businesses often takes one of five key forms:

1. Summarization: Trying to find key content across either a range of sources or a single document
2. Sentiment analysis: Assessing the tone, intent, and social context that’s relevant to a document
3. Explicative: Finding the reason for said sentiment analysis in a given document
4. Investigative: Reviewing the sources of a specific issue
5. Classification: Confirming the subject(s) that a text source discusses

As mentioned above, text-based data is unstructured by nature. Unlike databases and log files—which are strongly modeled, and therefore structured—text data doesn’t have numerical value. That makes it much tougher to find the insights you need manually.

So, text analysis software that finds the data for you within unstructured sources is a huge value-add. Technology that can find key content that you need, then investigate and summarize it saves hours of manual labor.

And since text analysis captures sentiment, you can use it for a range of business needs, from modeling intent to expediting group decisions.

To start your search, here are four free and open source text analysis tools. To earn a spot on this list, each tool’s source code must be freely available for anyone to use, edit, copy, and/or share. You can learn more about how we chose which tools to include in our methodology below:

4 Free and Open Source Text Analysis Software

AYLIEN Text Analysis Software

Screenshot showing text analysis within AYLIEN (Source)

Best for: Businesses that want a text analysis API for Google Sheets.

Aylien text analysis is a cloud-based business intelligence (BI) tool that helps teams label documents, track issues, analyze data, and maintain models. It also allows users to extract meaning from content within public datasets. (Available on a monthly subscription.)

Aylien’s text analysis API integrates with tools including Google Sheets. Although Aylien discontinued it, you can still paste a pre-written script into Google Sheets and call the Text Analysis API without any code. Once you’ve pasted the script into the Script Editor on the Tools tab, you can save and enter said script into as many cells as you’d like.

Aylien’s text analysis extension offers language detection, hashtag suggestions, sentiment analysis, and more. It supports raw text and URL as inputs, and can remove ads to extract only the main text on a website.

Keatext Software

3.64/5
14 reviews

A screenshot showing an overview of issues within Keatext (Source)

Best for: Medium to large companies who want to analyze customer sentiment in English and French

Keatext analyzes large amounts of unstructured data collected from several sources. Users can share their data with Keatext team members, who upload it to the platform on your behalf. Worried about losing access to the data you hand over? Fear not – Keatext gives you access to the platform for 4 weeks, and you can download reports for future use.

Keatext is ideal for teams who want to analyze sentiment without setting up and maintaining a new developer environment. The tool prides itself on grouping customer feedback into one of four buckets: Praise, Problems, Suggestions, and Questions. It also alerts users to changes in sentiment, and sentiment towards any new actions you’ve made.

For those on the fence about open source software, Keatext offers strong customer support. Guides, infographics, tutorials, and API documentation are all available on its website. The site also has a help center which lets you search for articles on how to use the tool.

KNIME Analytics Platform Software

4.67/5
9 reviews

Screenshot showing a sample workflow within KNIME (Source)

Best for: Experienced dev teams who want an on-premise text analysis tool.

KNIME offers on-premise data analytics tools for small to large business. It uses the Apache Spark framework to let users build machine learning (ML) models to automate regression, classification, cluster analysis, and more.

KNIME’s text processing tool offers natural language processing (NLP), text mining, and information retrieval. Documentation on the six steps involved is available, as are tutorials for using custom tag sets.

But unless you’re using KNIME’s analytics platform, its text processing option will have limited value. Its support and documentation don’t surpass those of competitors, and teams who don’t work in engineering will face an especially large learning curve.

Refinitiv Intelligent Tagging

A screenshot showing headlines within Refinitiv (Source)

Best for: Financial enterprises who want text analytics plug-ins for WordPress or Drupal sites.

Refinitiv offers five deployment options based on business needs. Its open calais package is free and handles up to 100KB each of HTML, XML, and raw text. It also handles up to 5k submissions per day.

If you host a WordPress or Drupal website, you can install Laiser Tag Plus WordPress plugin or the Drupal Open Calais plugin, respectively. Both plugins integrate Intelligent Tagging output into your site.

If you want to test the Intelligent Tagging tool, you can upload your own content to the Live Demo. Since Refinitiv’s specialty is financial topics and themes, it’ll assign those to the unstructured data that you load into the tool. It helps you tag the subjects (whether they be people, places, facts, or anything else) within your dataset. You can access Q&A, tutorials, documentation, and more after creating an account.

One final note:

To earn a spot on this list, each tool above needed to offer source code that’s freely available for anyone to view, edit, revise, etc. But many tools on this list, along with several more, offer even more features for paid customers.

We know that cost is a key concern when shopping for software. That said, investing in the right tools can save your business lots of money in the long run. To get started with text analysis, input some data into one of the free tools above.

Then, assess the results: Do you agree with the sentiment suggestions each tools makes? Did they help you discover any changes in sentiment that you might have missed?

If you’re impressed, it’s worth assessing BI software that has text analysis and additional features. Most software vendors offered tiered pricing plans that let you scale up as needed. And in an era where we create 2.5 quintillion bytes of data each day, having a strategy and software to manage data isn’t optional.

Visual Analysis Software Educational Macro

Gartner predicts (available to clients) that by 2020, 50% of businesses will lack the AI and data literacy skills needed to build business value. Using the right text analysis tool is a great way to stay in the fast lane.

Methodology

We included text analysis products in our software catalog that both:

1. Offered a free, stand-alone version of the software (not a trial version of the software that requires you to purchase the product after a limited amount of time), and
2. Met our text analysis software market definition:

Visual Analysis Software Educational Machine

Text analysis is the process of finding information from text sources, including emails and survey answers.

Visual Analysis Software Educational Mac Software

We determined the most popular products to feature by choosing those highest ranked in Google search results during the week of September 16 – 20, 2019.