The Best Quick Analytics Tool Around
Yes, Yes, Yes!
Enter Data Explorer... easy to understand, simple to use “push button” interface... problems solved!
Holy smokes, why hasn’t anyone else thought of this! Well, you guys get my money! I bought your other app, Power Analysis too! Together, very powerful tools!
Vernon....
Response from developer
Thank you so much for using our app! Our purpose is to bring the power of data to more users. Our team is looking for every opportunity to improve the app. Please email us at feedback@axanalytics.com to let us know if you have any specific use cases or suggestions.
I am so happy
Teacher
Data Excited!
Potential use..BUT..where is Full version
Time waster
Great app
Useless
Very cool app for data analysis
If only it analyzed the filtered data...
This is one of only two apps I've found so far that allows you to filter observations, but unfortunately, when you run any of the analyses, it includes all the observations, not just the filtered ones! (TC-Stats is the other, and it does limit both calculations and graphs to filtered data. You can find other comparisons between these two apps on my TC-Stats review.)
I would very much like to run regressions on different categories of observations. If only I could use filters to select which ones... Also the filter mechanism really needs a "not" option, as in "not contains" (for categorical variables) and "not equals".
I do like that when you export an analysis, it sends two attachments: a PDF presentation including the graph along with a CSV file containing the analysis data, but here again, TC-Stats has more export options and can synch all of your work to Dropbox. (Data Explorer's graphs are much better annotated than TC-Stats', however.)
Being able to type in notes recorded with the analysis would also be useful but not essential. Also, when exporting an analysis, please indicate somewhere that it was produced by Data Explorer! I use several of these apps but can't yet reliably remember which produced what.
Finally, I'm constantly confused by the "left" and "right" variable terminology. It would be much better to just call them deep end of an independent variables.
By the way, this app easily handled a data set with 10,000 observations and six variables, including one categorical variable in the form of a phrase (having around 10 categories). This crashed at least one other app!
