Batch Editing is still useful to clean a Census :?:

[vgonzalez]

Dear colleagues,

I’m writing in this opportunity just to certify is the Batch module of CSPro is still useful to clean and impute a survey or a census data?
(including dynamic imputations like cold or hot desk)

I wondering that because some colleagues are not considering this options because some tools are more easily, fast and best like R, Stata, Phyton, SPSS and other statistic processors and I believe that this is possible happened if we need to do some specific statistical process, but not necessary this tool are the main solutions to clean a data base collected with a CSEntry CAPI solution and consolidated with CSWeb/CSPro.

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For that reason I’m share this, which is for some peoples an affirmation, to certify if it is just one opinion from some experts or this is happen according the boundaries or capabilities of every processing tools.

[Gregory Martin]

I think people generally pick tools that they are familiar with. A lot of people study languages like R or Stata while getting statistics degrees, or Python for data science. If I didn't know CSPro and I knew one of those languages, I would probably edit data using the tool with which I'm familiar.

However, CSPro is still useful for data editing and cleaning, especially if you already have a CSPro dictionary that was used for data collection. In addition, CSPro's imputation reports and DeckArray functionality make it a very convenient tool for editing.