Data Pre-processing

NWSSDTP

Data Pre-processingAnran Zhao (University of Manchester)Data pre-processing is a data mining technique that involves transforming raw data into an understandable format. With the increasing amount of data available for research and analysis, real-world data is often incomplete or inconsistent and thus not ready to be used directly. Multiple spreadsheets, missing values, typos, numbers shown as text, unnecessary columns… Data without adequate preparation will deliver poor or misleading findings. This is exemplified by the pithy data scientist phrase ‘GIGO’, which stands for ‘Garbage In Garbage Out’. This talk introduces data pre-processing and its workflow, including steps on data integration, data cleaning, data reduction and data transformation, as well as some of the issues people should be aware of in this process.You will be sent the Zoom link and password after registration.This is part of the Methods North West Methods Sessions 2021. To find out about further events please visit <a href="https://nwssdtp.ac.uk/about/methods-north-west/methods-sessions/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://nwssdtp.ac.uk/about/methods-north-west/methods-sessions/ </a>

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Data Pre-processing

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Data Pre-processing

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