To clear the contents of a cell while leaving the cell formatting, you can click the _______ key.
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You can define information about your variables by accessing the Variable View tab (at the bottom of the Data Editor window). The Variable View tab displays information about the variables in your data. You can get to the Variable View window in two ways: Show
The Variable View tab displays the following information, in columns, about each variable in your data: NameThe name of the variable, which is used to refer to that variable in syntax. Variable names can not contain spaces. Note that when you change the name of a variable, it does not change the data; all values associated with the variable stay the same. Renaming a variable simply changes the name of that variable while leaving everything else the same. For example, we may want to rename a variable called Sex to Gender. To change a variable's name, double-click on the name of the variable that you wish to re-name. Type your new variable name. TypeThe type of variable (e.g. numeric, string, etc.). (See the Variable Types tutorial for descriptions of the variable types in SPSS.)  To change a variable's type, click inside the cell corresponding to the “Type” column for that variable. A square "..." button will appear; click on it to open the Variable Type window. Click the option that best matches the type of variable. Click OK. WidthThe number of digits displayed for numerical values or the length of a string variable. To set a variable's width, click inside the cell corresponding to the “Width” column for that variable. Then click the "up" or "down" arrow icons to increase or decrease the number width. DecimalsThe number of digits to display after a decimal point for values of that variable. Does not apply to string variables. Note that this changes how the numbers are displayed, but does not change the values in the dataset. To specify the number of decimal places for a numeric variable, click inside the cell corresponding to the “Decimals” column for that variable. Then click the “up” or “down” arrow icons to increase or decrease the number of decimal places. Example: If you specify that values should have two decimal points, they will display as 1.00, 2.00, 3.00, and so on. LabelA brief but descriptive definition or display name for the variable. When defined, a variable's label will appear in the output in place of its name. Example: The variable expgradate might be described by the label “Expected date of college graduation". ValuesFor coded categorical variables, the value label(s) that should be associated with each category abbreviation. Value labels are useful primarily for categorical (i.e., nominal or ordinal) variables, especially if they have been recorded as codes (e.g., 1, 2, 3). It is strongly suggested that you give each value a label so that you (and anyone looking at your data or results) understands what each value represents. When value labels are defined, the labels will display in the output instead of the original codes.Note that defining value labels only affects the labels associated with each value, and does not change the recorded values themselves. Example: In the sample dataset, the variable Rank represents the student's class rank. The values 1, 2, 3, 4 represent the categories Freshman, Sophomore, Junior, and Senior, respectively. Let's define the category labels for the Rank variable in the sample data. Under the column “Values,” click the cell that corresponds to the variable whose values you wish to label. If the values are currently undefined, the cell will say “None.” Click the square “…” button. The Value Labels window appears. Type the first possible value (1) for your variable in the Value field. In the Label field type the label exactly as you want it to display (e.g., "Freshman"). Click Add when you are finished defining the value and label. Your variable value and label will appear in the center box. Repeat these steps for each possible value for your variable. When all of the labels have been defined, the Value Labels window should look like this: Click OK at the bottom of the window. If you wish to change or remove a value and label that you have added to the center dialog box, do the following:
MissingUser-defined data values (or ranges of values) should be treated as missing. Note that this property does not alter or eliminate SPSS's default missing value code for numeric variables ("."). This column merely allows the user to specify up to three unique missing value codes for the given variable; or, to specify a range of numbers to treat as missing, plus one additional unique missing value code. To set user-defined missing value codes, click inside the cell corresponding to the “Missing” column for that variable. A square button will appear; click on it. The Missing Values window appears. Click the option that best matches how you wish to define missing data and enter any associated values, then click OK at the bottom of the window. Note that you may enter numbers or letters as discrete missing value codes in the "discrete missing values" boxes. Caution: If you have a dataset with string variables, blank cells are not automatically recognized as missing values. In order for blanks to be recognized as missing values, you can either:
The latter option works well if there are a limited number of unique string values, but is a poor option if there are many unique variations in the strings (e.g. capitalization, spelling, spacing). ColumnsThe width of each column in the Data View spreadsheet. Note that this is not the same as the number of digits displayed for each value. This simply refers to the width of the actual column in the spreadsheet. To set a variable's column width, click inside the cell corresponding to the “Columns” column for that variable. Then click the “up” or “down” arrow icons to increase or decrease the column width. AlignThe alignment of content in the cells of the SPSS Data View spreadsheet. Options include left-justified, right-justified, or center-justified. To set the alignment for a variable, click inside the cell corresponding to the "Align" column for that variable. Then use the drop-down menu to select your preferred alignment: Left, Right, or Center. MeasureThe level of measurement for the variable (e.g., nominal, ordinal, or scale). Some procedures in SPSS treat categorical and scale variables differently. By default, variables with numeric responses are automatically detected as “Scale” variables. If the numeric responses actually represent categories, you must change the specified measurement level to the appropriate setting. To define a variable's measurement level, click inside the cell corresponding to the “Measure” column for that variable. Then click the drop-down arrow to select the level of measurement for that variable: Scale, Ordinal, or Nominal. It is vital that you correctly define each variable's measurement level. This setting affects everything from graphs to internal algorithms for statistical analysis. Incorrectly specifying measurement level can have unintended and potentially disastrous effects on your results. RoleThe role that a variable will play in your analyses (i.e., independent variable, dependent variable, both independent and dependent). Some options in SPSS allow you to pre-select variables for particular analyses based on their defined roles. Any variable that meets the role requirements will be available for use in such analyses. You can choose from the following roles for each variable:
To define a variable's role in your analysis, click inside the cell corresponding to the “Role” column for that variable. Then use the drop-down menu to select the role that variable will take: Input, Target, Both, None, Partition, or Split. How do you clear the content from the selected cell leaving the formatting?To clear all contents, formats, and comments that are contained in the selected cells, click Clear All. To clear only the formats that are applied to the selected cells, click Clear Formats. To clear only the contents in the selected cells, leaving any formats and comments in place, click Clear Contents.
How do you clear formatting in a cell?To remove all formatting in Excel, just do the following: Select the cell or range of cells from which you want to clear formatting. On the Home tab, in the Editing group, click the arrow next to the Clear button. Select the Clear Formats option.
What is the shortcut to clear the formatting of a cell in Excel?There are a few different ways that you can clear formatting in Excel. The easiest way is to simply select the cells that you want to clear, and then press the "Clear Formatting" button on the Home tab of the Excel ribbon. You can also use the keyboard shortcut "Ctrl+Shift+F" to clear formatting.
Which option will be used to clear formatting on the selected cell?While your cells are selected, in Excel's ribbon at the top, click the “Home” tab. On the “Home” tab, in the “Editing” section, click the “Clear” option. From the “Clear” menu, select “Clear Formats.” And Excel will remove all formatting from your selected cells.
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