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Shift enter in excel stata how to#

The most common reason for failure is submitting Excel data sheets which are too complicated, for example containing TWO rows of field titles instead of one, or which include subtotals, charts or other material. If all of your data is string data, you probably tried to read the first row as data when it really contains headings. If the data you want to read is not on the first sheet of the file, select the sheet you want to read. If the data you want to read does not start in the first row of the spreadsheet, enter the cell range in the Opening File Options dialog box.

Click 'Read variable names' if the first row of the spreadsheat contains column headings.

Select type of file you want to open, Excel *.xls *.xlsx, *.xlsm.

Names longer than 8 characters (and such names as ALL, AND, BY, EQ, GE, GT, LE, LT, NE, NOT, OR, TO which are not acceptable to SPSS) will be shortened or changed by SPSS during the conversion. Column headings should all be unique and not start with a number. variable names, in row 1 at the top of each column of data, and that row 2 in the sheet always contains a value. Ensure that you have the field titles, i.e. Yes, as long as the file is saved as an Excel 95 or later version.

Shift enter in excel stata how to#

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Click the drop-down arrow in the list, uncheck the Blanks box, and then click the OK button. Select the list with blank cells you want to hide, and then click Data > Filter. You can hide all blank cells in a list with Filter feature in Excel. If you have daily data to aggregate into weekly or monthly data, you can accomplish that easily in Microsoft Excel, thanks to pivot tables. Delete blank cells and shift data up with hiding all blank cells. Just select any other time unit you like instead of days. NOTE: The method to create by MONTHS (or any other time period listed in the GROUPING screen) is the same. (5) Click OK to create your aggregate table for WEEKS: In the GROUPING dialog box select DAYS and “7” in the NUMBER OF DAYS drop-down list: (4) Now, select any of the days and right-click. Your Pivot Table will be created automatically:

(3) Click DATA to insert it in the VALUES quadrant of the Pivot Table and click DAYS to insert it in the ROWS quadrant. (2) In the Create Pivot Table dialog box, select Existing Worksheet and then click on a cell for insertion point: Let’s say this is what your daily data looks like: With that precautionary note, here is how you can accomplish this procedure. However, if for example your data is “average temperature per day,” then it of course does not make sense to aggregate such data since the temperature for a week is not the aggregate sum of daily temperatures but their arithmetic mean. You can apply this method to, for example, a data of “trucks arrived” or “shirts bought” per day since the total aggregate amounts would still make sense for longer time units. If you have daily data that still makes sense when aggregated into weekly or monthly data, then you can accomplish that very easily in Microsoft Excel, thanks to the pivot table.