TY - CONF

T1 - Tabula, What You See Is What You Tabulate

AU - Lo Magno, Giovanni Luca

PY - 2010

Y1 - 2010

N2 - The final aim of the majority of statistical analyses is to create a set of statistical tables for publication. Generally complex statistical survey reports contain a lot of tables which usually have more than two entries. In order to create tables like these, you have first to run a lot of Stata commands and to write them by hand. This process is error prone and it’s difficult to create tables with more than four entries using ordinary Stata commands.Tabula is not a Stata command but a complete software written in C++, with a user-friendly GUI. The main aims of Tabula are to automate the production of reports and to minimize human errors. It allows you to create your statistical table through a “what you see is what you get” approach. The main area of the interface is made up of a spreadsheet-like table where you can drag and drop labels and pre-build Stata commands and so visually create your statistical table. Tabula builds a do-file and then tells Stata to execute it in batch mode. The do-file generates a comma separated values file (CSV), containing the calculated figures, that can be easily edited by other softwares to produce final print-ready output. Tabula can load variables and labels from a Stata dataset file and can save the created project in its own file format.

AB - The final aim of the majority of statistical analyses is to create a set of statistical tables for publication. Generally complex statistical survey reports contain a lot of tables which usually have more than two entries. In order to create tables like these, you have first to run a lot of Stata commands and to write them by hand. This process is error prone and it’s difficult to create tables with more than four entries using ordinary Stata commands.Tabula is not a Stata command but a complete software written in C++, with a user-friendly GUI. The main aims of Tabula are to automate the production of reports and to minimize human errors. It allows you to create your statistical table through a “what you see is what you get” approach. The main area of the interface is made up of a spreadsheet-like table where you can drag and drop labels and pre-build Stata commands and so visually create your statistical table. Tabula builds a do-file and then tells Stata to execute it in batch mode. The do-file generates a comma separated values file (CSV), containing the calculated figures, that can be easily edited by other softwares to produce final print-ready output. Tabula can load variables and labels from a Stata dataset file and can save the created project in its own file format.

KW - Stata

KW - two-way table

KW - Stata

KW - two-way table

UR - http://hdl.handle.net/10447/54555

UR - http://www.stata.com/meeting/italy10/abstracts.html

M3 - Other

ER -