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The process of removing anomalies from datasets, accounting for missing values, resolving inconsistencies in the data is known as_______________Answer choicesSelect only one optionREVISITData transformationData cleaningData reductionData wrangling

Question

The process of removing anomalies from datasets, accounting for missing values, resolving inconsistencies in the data is known as_______________Answer choicesSelect only one optionREVISITData transformationData cleaningData reductionData wrangling

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Solution

The process of removing anomalies from datasets, accounting for missing values, resolving inconsistencies in the data is known as Data cleaning.

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...... is the process of identifying and correcting inaccuracies in a dataset.a.None of the optionsb.Data scrubbingc.Data singlingd.Data transformation

The transformation of the unprocessed dataset into a usable form is known asAnswer choicesSelect only one optionREVISITData miningData preprocessingdata cleaningData transformation

Which of these is not a part of data preprocessing?Answer choicesSelect only one optionREVISITFeature selectionOutlier removalData visualizationData cleaning

In which of the following step the missing values are addressed ?  A. Data Cleaning  B. Data Collection  C. Data Arrangement  D. Data Gathering

Combining data from multiple data sources is called__________________Answer choicesSelect only one optionREVISITData integrationdata reductionData miningData transformation

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