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| Nama | Teks sekarang |
|---|---|
| r Inggris (en) | We recommend the following approach for working with a new dataset: # Save a copy of the original data. #* Never make changes to the original dataset. # Is there data on more than one worksheet in the workbook? #* Inspect each worksheet. #* Do not assume that an unnamed worksheet will be empty. # Make sure you understand what you have been asked to do. #* What data will be needed to complete this task? #* Must all workbook data be processed? #* Does this workbook represent the complete task, or will additional (similar) workbooks be arriving? # Outline the structure of the final structure that will be needed to complete the task. #* List the headers and data categories. # Make a note of the problems or issues that make the original dataset unsuitable for immediate analysis, or that must be changed so that it fits your proposed structure. Look for: #* dataset not being contiguous (blank rows or columns separating components of the dataset) #* repeated heading row #* inappropriately formatted header row #** multiple header rows #** merged cells in header rows #* merged cells in columns #* repeated columns, or columns containing data that is not needed for the analyses #** this material does not need processing #* multiple pieces of information stored in a single column #* categorical data with inconsistent categories #* problem data #** some incorrect data will never be identified #** some incorrect data will only become obvious once the data summarisation has been completed (this will be the next exercise). |