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Input Dataset

    Inputing datasets is a very important feature for data analysis.  But on iphone, data input could be very annoying.  We carefully design our interface to make typing much easier and comfortable. And dataset can be saved and is editable for multiple analysis.  Once data is input, the software will automatically list data to appropriate topics according to its variable types.  So datasets can be reused in multiple analysis to minimize typing efforts. To input data, check the following steps:

Go to "input you own data" section, in the data page, tap "Add new data set" button to input the structure of a data set. 


Input the data set name and variable names in the following page.


Tap "Save" to go back to data set page. The new data set appears.  


Edit a data set:

You can tap the "Edit" button to delete or change an existing data set. The variable names are changeable too. First tap "Edit" button to enter editing mode. Once in the editing mode, tap the red  button to delete the data set;  highlight the row or tap blue  button to change the name and variable name of  the data set.

Here we change the name of data set from "survey" to "survey data". 





Input the variables:

Then tap the row for corresponding data set to enter the variable page.  You will see all the variables for this data set. Now there is no values for each variable (indicated in parentheses). Tap each variable to enter its values.


Different interfaces are provide to input numeric values or categorical values.  A special designed keyboard is provide for numeric values. Use comma to separate values for numeric variable.  



Use space to separate values for categorical variable.



The number in the parenthesis indicates how many values you have in the variable. You may tap "Table View" button to view data in table view.



Once the whole data are input, you can go to corresponding topic section to find your dataset and then do analysis.  For example, a one variable dataset will be automatically listed in Histogram, Quantile section; a two variable dataset will be listed in Regression, T Test sections.  In this way, dataset will be reused as much as possible to reduce your typing effort.  For the data in this example that has two categorical variable and one numeric variable, it will be listed in contingency table section.







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