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A specified set of commands in SPSS enables you to read simple and complex data in various formats. The Getting Data commands will make it possible for a user to read data in SAS datasets, various database tables, several spreadsheets like Excel, and others.
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|Get Data||This command reads all types of Text and Excel data files as well as Database Tables|
|Import||Reading all portable data files that are created using the Export command is possible with Import|
|File Type||File Type is the command that defines nested, grouped, and mixed data structures|
|Input Program||It reads all complex data files while also generating case data|
|Dataset Name||The Dataset Name command is responsible for having more than one dataset open in SPSS simultaneously|
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There is a dedicated group of SPSS commands responsible for Saving and Exporting various types of Data. They enable you to save data in Excel Spreadsheet, IBM SPSS Statistics, Database Table, and other supported formats.
If you need SPSS coding help with any of the commands, you can't go wrong with us. We have dedicated experts who can do your SPSS Homework in Saving and Exporting Data using various commands. They have coding knowledge in all the commands, so you don't need to worry about anything in this area whether it's simple or complicated. Here are a few examples of the commands under this category, and their functions.
- XSave: Makes it possible to save data in the IBM SPSS Statistics format minus a separate data pass
- Save Data Collection: It saves both data and metadata files in the IBM SPSS Statistics and Data Collection MDD formats, respectively.
- Save Translate: This command has numerous functions, including saving data in Various spreadsheet formats, dBase, CSV, et cetera; and creating new database tables
- Export: This is the command responsible for Saving data in any portable format
- Write: It saves data in fixed format text
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This is the command that recodes string and numeric variable values to the consecutive integers.
It comes up with new series as a function of an already existing series.
The Rank command comes up with new variables that contain normal scores, ranks, and Savage, and other related scores.
It replaces all missing values with estimates that are computed by various methods.
This is the command that declares all the new string variables.
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- We have experts who can code in the Datafile Attribute command, which is responsible for creating user-defined variables.
- You can rely on us for coding in Variable Labels, which is a command that awards descriptive labels to data values.
- We can also help you with the Variable Level command homework. The Variable Level command is responsible for specifying the level of measurement in SPSS.
- If you need help with the Rename command, we also have experts who can help you get it. This is the command that changes variable names appropriately.
- Variable Width is the command that specifies the width of the column in the Data Editor.
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- Add Documents: The command creates a text of any length in the active dataset
- Compare Datasets: It compares contents of the active dataset to those of another dataset in the current session or an external one in the IBM SPSS Statistics.
- Drop Documents: This command deletes all the text created by Add Documents or Documents commands.
- Sysfile Info: It displays complete information for l IBM SPSS Statistics data file variables.
- Display: Displays all information obtained from the active dataset's dictionary.
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- ACF:-The ACF command has two functions; displaying and plotting the sample autocorrelation function of one or several time series.
- PACF :-PACF will display and plot all the sample partial autocorrelation functions of many times series
- Fit :-Fit displays several descriptive statistics calculated from the residual series. These statistics are used to evaluate the goodness of fit of various models.
- Predict :-Predict identifies and specifies the observations that signify the beginning and end of the period of forecasting.
- Verify :-This one generates a report on the condition of the most recent Date, Predict Specifications, and Use.
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