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After checking and cleaning of the Access database, the file was transferred into SPSS v17 for descriptive analysis of categorical and yes/no fields.
Following cleaning and sorting of the database 12,411 entries were included for analysis.
"A lot of the costs which matter are in designing the tools and creating and cleaning the database that allows the targeting to happen.
After data cleaning, we converted the database into a database file for final analysis.
EC merged the biological and epidemiological data and contributed to cleaning the database and to the preliminary analysis.
After the data cleaning, we converted the database into data base file (dbf) for the final analysis.
After data cleaning, the database was imported into STATA using Stat/Transfer and analysed using Stata/IC V.11.1.
To ensure the inclusion of all relevant information in the database, we did thorough cleaning of the data, cross-checked with the paper records and included additional relevant variables between April and December, 2009.
The sheer volume of the data that were collected, regular transfer of the data to a centralized database, and the cleaning of the same also posed some challenges.
Data cleaning and checking is undertaken using several strategies, commencing with the construction of the database in Microsoft Access and also using Stata [ 27].
Version 7 of the database.
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CEO of Professional Science Editing for Scientists @ prosciediting.com