Chapter 5: Compatibility of Data Files
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1 Importing data from other format Files Chapter 5: Compatibility of Data Files Importing Text Files Creating a translation structure Example. Import 'EmployeePayroll.txt' as 'EmployeePayroll.mb' Importing Text (CSV) Files Importing Text (Delimited) Files Data Management 2.0 / 2.5, Importing Data from dbase III Files Convert data into other Format Files Convert Text into Text File Convert data into Text (CSV) Files Convert data into Text (Delimited) Files Data Management 2.5 / 2.0 Convert Data to Files Converting data into dbase III Files Data conversion using data copy function Example 1. In the "EmployeeDirectory.MB", with only the data of some Fields Convert to "EmployeeAddressBook.xls" Example 2. In the 'EmployeeList. MB', Converting the accounting department data is only transferred to 'EmployeeEmployee. Xls'.
2 Import data from other format documents Tables created by other programs (DOS-type data files, word processors, spreadsheets, databases, etc have different structure from the background Tables created in DittoBitto, so you simply can't just add the extension to the Table. You can not remove it by modifying it with an extension. Therefore, in order to use the data used in other programs in 'DittoBitto, it must be converted. The following data formats are compatible with DittoBitto. Types Extension Explanation DBaseⅢ DBF Dbase files Text Text(CSV) TXT CSV Text(Delimited) TXT It consists only of letters, numbers and special symbols. A type of text file that separates filed names and data with commas (,). A type of text that separates characters from numbers by using delimiters such as double quotes ("), single quotes ('), and separating data by using tabs, commas ('), and spaces. WE 2.5/2.0 Older versions of DittoBitto 1) In the [File] menu, Select. [Import] 2) Select the format to import the data. 3) Select the file to be converted into another Table area. 4) Enter the path and Table name of it to be stored in the MB Table directory.
3 5) Click the 'Create' button. 6) When converted Table is opened, click 'Cancel' button. Importing Text Files In order to convert a text file into a Table (MB), it is necessary to define the format in which the corresponding text data is to be converted and stored. This is called a "conversion structure". Here's how to create a conversion structure. Creating a translation structure (1) Select file name on field: File name. The file name can be up to 63 bytes in length and can be used in Korean, English, numbers, and '_' (underscore). Item and item names are separated by commas (,). Exs: Title, author, publisher, classification (O) Book Title Author (s) Publisher Classification (X) (2) Type: 2 lines. Define the format for each item. Use letters, integers, large integers, real numbers, date, and time formats. Field names: Field names: Sales date, business partner, name, quantity, unit price, amount Types: Date. str, str-, int, int, bigint And separates the Type from the Type with a comma (,) like above (3) Location: Write on line 3 which specifies in which column the data starts. Separate the position and position values with a comma (,).. 1, 29, 46 are the locations The most beautiful thing John Smith American culture Persimmon tree Jun Hyun Lee Korean culture Add one line as above and attach the number string when finding the location. This is an easy way to find out where each field starts. Of course, when you have finished calculating the position, delete the line. Length: Write in 4 lines which specifies the maximum length of the data. If you specify a length smaller than the length of the actual data, it will read the specified length and discard the rest. Therefore, although the length can be specified larger than the actual data, please be careful because a smaller value will not be able to fetch the complete data. The length and length are separated by commas (,). 1) Specify date and time format as 8. Ex: which is 2018 July 2 is only 8 digits and 11:30:30 which is time of 11:30 and 30 seconds is only 8 digits as well. 2) Integer type can be up to 9 digits. 3) Large integer type called "bigint" can be up to 19 digits. 4) Real number type called a "double" can be up to 19 digits. For floating-point numbers, place the decimal point. It can be specified together with parentheses. The '.' Symbol must be included in the length and included in the overall length. Ex: is 6 digits, 99.5 use 4(1) and for use 6(2) Example line: 8, 8, 4, 2, 6 You can add new fields when you create a Table structure. Specify the field name, type, and size, and specify 0 as the position. If you do not specify a location, an error occurs. If you write the structure as shown below,
4 Example text file name is going to be Structure.TXT Title, author, publisher, year of publication, classification Type are: Str, str, str, str, str 1,29,46,0,61 23,14,11,4,4 But in the Table that we will name Booklist.mb, the year of publication will only have 4 digits for year Booklist.mb Title Author Publisher Date Class Beautiful thing A Smith Book inc 1898 Fairytale Persimmon Tree B Smith Your Book Co 2015 Fairytale Mischief Maker C Smith Book inc 2010 Fairytale Winged children D Smith Your Book Co 2017 Fairytale It's mine E Smith Book inc 1956 Fairytale The Story Island F Smith Your Book Co 1973 Fairytale I can't Mommy G Smith Book inc 1942 Fairytale Beach children E Smith Your Book Co 2000 Fairytale A child in the wind A Smith Book inc 2005 Fairytale A sad forest H Smith Your Book Co 2008 Fairytale WWII J Smith Book inc 2009 History We cutting this section short as now there are many free "text file wizards" on the internet that will convert a text file into a CSV or Dbase file for easier import. Importing Text (CSV) Files A CSV file has the text separated by commas (,). Unlike plain text documents, however, you do not have to create a translation structure to get the data because of the item separator. When converting data from a CSV, there is usually a first line in the file that contains the field names. You can create a Table using those field names or rename the fields on the first line of the CSV to your field names of an existing Table or create a first line in the CSV file with your field names. After this preparation, goto [File] - [Import]
5 On Source file - File name, select the name of the CSV file and click the box stating there is a first line. Then select the name of the Table where the data should go. Importing Text (Delimited) Documents Text (Delimited) Documents usually have double quotes ("") in character data to distinguish them from numeric data. Data and data are separated by commas (,). As such, Text (Delimited) documents are a type of Text document stored using delimiters such as double quotes ("") or commas (,) used to separate data. Text (Delimited) files also have a separator between the data used in the file and the data. Commas (,) are commonly used. In addition, you can use spaces, Tab, semicolon (;), caret (^), and user-defined symbols such as pipe ( ) as delimiters. You have to examine the file to determine which type of Separator and Delimiter the creator used. Once determined, select the options shown below to import the file. Dbase and older Dittobitto files are very easy as they contain all the needed structure to be imported. Just select the source file and the destination Table and hit "make".
6 Convert Dittobitto Tables into other Format Types: Export This allows to convert the data of Dittobitto Table (MB) for use in another program. Goto [File] - [Export] and choose the following options. Note: that Text (Delimited) files must have a separator for each item and a string delimiter when converting data. Item delimiters include 'comma', 'blank', and 'tab', and string delimiters are double quotes, single quotes, and none. The extension of the converted document is defined as '.txt'. You must choose the best option for the program you are going to import into. Data conversion using [Append from File...] function This option is found under the [Edit] menu. The [Import] function in the [File] menu described above is always the method for importing the entire data of the file in the conversion. Sometimes, however, you can use the [Append from File...] function to import only certain fields or specific records from another file. Appending data is generally a function used to copy data from an existing Table into a new Table or other type of file. For a detailed explanation of the function of copying data, please refer to "Copying the data in Chapter 2".
7 Data conversion using [Copy to File...] function This option is found under the [Edit] menu. After selecting the Table to be converted, select the format of the file to be converted into. (For Excel use Text (CSV) etc. If you elect to export only certain fields, select [Selected fields] option. All the fields available for copying are displayed. Highlight the ones wanted and select just [Copy] or select [Copy and View] and it will copy the fields and the open the Table where they were copied. DittoBitto Copyright 2018
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