tool for performing data preprocessing

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sushma khatri
sushma khatri on 11 Sep 2019
Commented: Steven Lord on 12 Sep 2019
I want to perform data preprocessing operations such as handling missing data, outliers normalization of data etc.Is there any tool which can help me out.
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sushma khatri
sushma khatri on 11 Sep 2019
yes
worked on NN toolbox
currentky working on nftool
Bob Thompson
Bob Thompson on 12 Sep 2019
Off the top of my head I can suggest xlsread, xlswrite, indexing for organization, normalize, std, mean, and maybe padarray.
That's about the best any of us can offer without a more detailed explanation of what you are trying to accomplish.

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Answers (1)

Steven Lord
Steven Lord on 11 Sep 2019
MATLAB has a number of functions to perform various types of data preprocessing tasks. That page lists some of the functions for detecting and cleaning missing data, detecting and removing outliers, and normalizing data (which are the three tasks you described in your question) as well as data grouping / binning and data smoothing / detrending.
  3 Comments
Bob Thompson
Bob Thompson on 12 Sep 2019
There are lots of tools available through the link.
We cannot tell you if there is a tool that can specifically help you because you haven't given us any details on what you're trying to do. All you've done is given us a general idea like, 'I want to build a house. What tools should I use?' The type of tools you need are highly dependant on what you are using to build the house. If you are using screws to build the house, then me giving you a hammer isn't going to help you very much. Because you haven't given us any details we've done the best we can, showing you where the tool box is, but we can't do any more until you give us more details on the specifics of what you're trying to accomplish.
Steven Lord
Steven Lord on 12 Sep 2019
If by "tool" you mean a GUI or an app, the answer is partially yes. In the just-released release R2019b, we introduced Live Editor Tasks. Two of the Live Editor tasks we introduced deal with cleaning missing data and cleaning outliers.

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