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TUPLES - the number of rows follows as a numeric value; DATA - after a dummy 0 numeric value, the data for the table follow, each row preceded by a BOT value, the entire table terminated by an EOD value; The numeric values in header chunks use just an empty string instead of the validity keywords.
The numeric sorting order is maintained even when text is found in the cells that follow the 5th cell. 123,564,589.7e12 is in scientific notation and is treated as a number. An empty cell is treated as a non-number when sorting numerically. There is an empty cell initially at the bottom of each of the 2 tables just below.
Looking down the column, the software finds the first non-blank cell and assumes that everything else in the column is in the same format. But a number of things can go wrong: Mixed types of data in a column don't sort right. For example, in a column that's for calendar dates, don't put "Unknown" where a date isn't known. Just leave the cell blank.
A delimited text file is a text file used to store data, in which each line represents a single book, company, or other thing, and each line has fields separated by the delimiter. [3] Compared to the kind of flat file that uses spaces to force every field to the same width, a delimited file has the advantage of allowing field values of any length.
Excel offers many user interface tweaks over the earliest electronic spreadsheets; however, the essence remains the same as in the original spreadsheet software, VisiCalc: the program displays cells organized in rows and columns, and each cell may contain data or a formula, with relative or absolute references to other cells. Excel 2.0 for ...
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In traditional spreadsheets, the semantic value of the numbers is lost. The number in cell B2 is not "the number of cars sold in January", but simply "the value in cell B2". The formula for calculating the average is based on the manipulation of the cells, in the form =C2/B2. As the spreadsheet is unaware of the user's desire for D to be an ...
Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").