Highlights
Exercise -
I) Locate a data set of any number of attributes and observations. You may have access to dn. sets through personal data collection or through your employment, although if you lc la ion! You can also search the int employer's data,makc sure to do so only by permiss matt fet data set libraries. A simple search on the term 'data sets' in your favorite search . we yield a number of web sites that offer libraries of data sets that you can use for academic and learning purposes. The U.S. government makes a wide array of data sets available for Gee 1, MixithmulalLgat. You may also try using a data generation web site such u mockaroo.com. Download or generate a data set that is interesting to you and complete the following
2) Format the data set into a CSV file. It may come in this format, or you may need to epee the data in your spreadsheet software, and then use the File > Save As feature to save vow data as a CSV file.
3) Either a) Import your data into your RapidMiner repository with a descriptive name; or b) Read your data from your CSV source through a RapidMiner operator.
4) Connect your data set to a in port in a process stream in RapidMiner.
5) Run your process and examine your data set using the Data, Statistics, and Charts tools in Results perspective. Note any attributes that have missing or inconsistent data. 6) If you found any missing or inconsistent data, use operators to handle these. Perhaps trY browsing through the folder tree in the Operators tab and experiment with some operators that were not covered in this chapter.
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