![]() It is important that the method chosen to analyze the data destroys as much information as it created, thus keeping the total amount of data constant. The title text proposes an alternate solution: destructive analysis. And, in the case that the analysis is flawed or impossible, there is little danger in disposing of any resulting reports. Avoiding the analysis or deleting its data could deprive the analyzer of useful information. ![]() finding trends or correlations between data points. ![]() However, data generated from analysis may provide useful insights about the original data set, e.g. This is implied to be a bad thing, as in, having "too much" data is undesirable - perhaps he will be expected to analyze the metadata, then analyze the metadata created by the metadata, and so on. Megan warns him against doing analysis because analysis produces more data - specifically, data about the data. Title text: It's important to make sure your analysis destroys as much information as it produces.Ĭueball wants to analyze a "bunch" of data that he has, likely from a survey or study.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |