Epi 2000, the Windows-based version, still require lots of debugging. However, if you like Epi Info, you can try out EpiData, a parallel Windows development product that stays with the original intent of Epi Info - simplicity. Finally, with Epi Info, you can develop data entry screens that look like your data collection forms, edit in spread sheet format, modify the database structure at will without losing data, analyze numeric and string data, perform a whole range of statistics, and develop some charts as well. While data processing can be considered by some to be data analysis, I am making a differentiation. Thus, data processing include those procedures in which raw data are redefined, or, categorized with the use of derived variables.
Categorization facilitates the generating of descriptive statistics.
If there are unknowns, they should be included, so everyone is accounted for. Since the data collected for the Special Project are mostly from surveys, or other methods using some sort of survey-type instrument or template, for purposes of developing and modifying your Product Prototype, the presentation of descriptive statistics, with some basic bivariate analyses is usually sufficient. You would not need to perform statistical procedures necessary to test a hypothesis, since this is not the purpose of the Special Project. Because you have collected categorical data, along with some demographic data, you can perform some cross-tabulations to see if any relationships exist between two variables. Cross-tabs are most useful in seeing whether or not demographics can be used to explain differences in your other variables.