Section B_Group 3_Nishita Khemka_13PGP093


When I first downloaded the SPSS software and did the first few operations as instructed by the professor, the first thing that struck me was that, “This thing is too technical for me”. Most of my friends here would agree with me that SPSS is a bit complicated. It is more suitable for statisticians rather than students and business professionals who do not have any expertise in the field of statistics. Moreover, SPSS contains many tools which have low applicability and relevance for businesses which want to do a basic analysis of data.

Identifying these pain points, two young analysts – Greg Laughlin and John Le developed a software called Statwing to make life easier for Non-Stats Majors like us. Statwing, popular for its simplicity and ease of use, makes data analysis intuitive and beautiful. Statistical best practices are encoded into the software so that non-experts can get the same insight into their data as a statistician. Here are a few reasons why Statwing is more user-friendly than statistical analysis tools like SPSS and R:

Simplified process: Statwing relies on a rules engine that automatically considers the type of data uploaded and the types of variables (a maximum of two right now) a user wants to relate to each other. It is designed to make it easier to ask questions about data. The user does not need to know the type of variables being used and the kind of analysis that will be apt for the said variables.

Faster: Statwing automates statistical analysis so you can understand your data deeply in just a few clicks—regardless of whether it’s kilobytes or gigabytes. Unlike SPSS where data loading takes time, data in Statwing can be copied or uploaded in seconds. Analysts and market researchers say they analyze data more deeply and five times more quickly in Statwing than in Excel or SPSS.

Instant Visualization: Statwing automatically visualizes every analysis. It understands th user’s data’s structure, so it automatically creates histograms, scatterplots, heatmaps, and bar charts that the user can easily export to Excel or PowerPoint.

Accounting for outliers: Unlike traditional software, Statwing accounts for data issues like outliers, so the user can always be confident in your analyses. When Statwing notices outliers or other statistical issues, it runs statistical tests that take them into account (for example, running Spearman’s Rank Correlation instead of Pearson’s Correlation wherever applicable).

Easy interpretation of results: In SPSS the results are shown in the form of tables and the user has to interpret the results according to his/her understanding. On the other hand, Statwing interprets the result of the analysis in plain English words, thus making it easy to understand the result.

Example: Suppose the user wants to analyze the relationship between a customer’s gender and their satisfaction with the product.


  1. Load the data… [wait 2 seconds]
  2. Analyze the variables and think, “Gender is binary–male versus female–and satisfaction is continuous, so the correct statistical test is an independent samples t-test”
  3. Run the test and get the result in the form of a table as shown below: 1
  4. Interpret the result: The p-value is below point oh five, which indicates a statistically significant difference between men’s and women’s satisfaction

In Statwing:-

  1. Paste or upload the data to Statwing
  2. Select Gender, then Satisfaction, and then choose to relate the two
  3. Statwing understands the structure of these variables, so it runs a t-test automatically
  4. Read the headline for a quick summary of the statistical testings results2
  5. Look at the visualization to see how women’s satisfaction scores tend to be lower than those of men3
  6. Go to the Advanced Tab for the full test results, as well as standard deviations, confidence intervals, and more

Despite these advantages, Statwing is suitable only for basic analysis. Many tools used for higher analysis such as Two-Way ANOVA, Regression Analysis, Time Series Analysis, etc do not work in Statwing. However, developments in these tools in Statwing can give a tough competition to SPSS and may even lead to its phasing out.


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