That way, Access will use the column headings as field names. Right using row headings should be transposed so that the row headings becomeĬolumn headings. In most cases, data that’s arranged from left to When this is the case, copy the data toĪnother sheet or range, delete the original data and column and then import theĮxcel doesn’t make much of a distinction between column and row Sometimes, you can’t delete an inconsistent column because Be sure toĬheck for hidden columns-even one inconsistent column will generate an error Related sheets by deleting unnecessary columns or rearranging data. You should eliminate small inconsistencies between these For instance, if column A in the sheet for January containsĬustomer names, February through December should also contain customer names in Specifically, the columns must be consistent from
You can combine individual sheets into one Access table during the importĭata, such as order records for each month, may need some work before Access The process yields three tables in Access: a customer table,Ī products table, and an orders table. The result of importing (as ranges) two consistently structured sheets into the You’d probably import them into a single table.
The 12 monthly sheets are consistent with one another, so Consequently, you’d import the customer and product sheets into Two different purposes and structures-the data is inconsistent, even though it’s The products, and the orders are all related. Suppose you have a file that contains 14 sheets: a list ofĬustomers, a list of products, and 12 monthly lists of orders. The sheets share a consistent purpose and structure, you’ll probably combineĭata, whether related or not, should be imported into separate tables. Whether all that data belongs in separate tables or in one inclusive table. If the Excel file contains more than one sheet, you must decide You import the entire sheet or range into a single table and then normalize (if Importing a single sheet or range of data is straightforward. Still, it’s a good idea to let the import process properly arrange as Importing Excel data into Access seldom produces the exact table structure you ultimately Unfortunately, Excel and Access don’t store data in the same way. Relationships while normalizing the imported dataĪ lot of foreign data comes in the form of an Excel file. Nutshell, you face two potential problems with every import task: Maintaining relationships while dividing the table into separate tables. Well, you’ll probably need to normalize the imported data-and that means Even if the import gods favor you and everything goes The goal is to get Access to import all the data the first On the other hand, if the import drops hundreds of values, you’ve got If you’re dealing with onlyĪ few records, discerning the missing value and entering it manually isn’t aīig deal. These pointers will help you prepare your data and sidestep common import problems.Īlmost every import process is complicated by import errors,īut losing even one value is usually unacceptable. Importing data from Excel to Access can be a little dicey, often resulting in missing information, incorrectly converted values, or data that's difficult to work with. Techniques for successfully importing Excel data into Access