[amp_mcq option1=”Data Imputation” option2=”Data Normalization” option3=”Data Transformation” option4=”Data Encoding” correct=”option1″]<\/p>\n
The correct answer is A. Data Imputation.<\/p>\n
Data imputation is the process of filling in missing values in a dataset. This can be done using a variety of methods, such as mean imputation, median imputation, or multiple imputation.<\/p>\n
Mean imputation is the simplest method of imputation. It involves replacing each missing value with the mean of the non-missing values for that variable.<\/p>\n
Median imputation is similar to mean imputation, but it replaces each missing value with the median of the non-missing values for that variable.<\/p>\n
Multiple imputation is a more sophisticated method of imputation. It involves creating multiple datasets, each with a different set of missing values. The missing values are then imputed using one of the methods described above. The final dataset is then created by combining the multiple datasets.<\/p>\n
Data normalization is the process of rescaling data so that it has a mean of 0 and a standard deviation of 1. This can be done by subtracting the mean from each value and then dividing by the standard deviation.<\/p>\n
Data transformation is the process of changing the form of data so that it is easier to analyze. This can be done by taking logarithms, square roots, or other transformations.<\/p>\n
Data encoding is the process of converting data into a form that can be used by a computer. This can be done by converting text into numbers, or by converting images into vectors.<\/p>\n","protected":false},"excerpt":{"rendered":"
[amp_mcq option1=”Data Imputation” option2=”Data Normalization” option3=”Data Transformation” option4=”Data Encoding” correct=”option1″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[735],"tags":[],"class_list":["post-45285","post","type-post","status-publish","format-standard","hentry","category-data-collection-and-preprocessing","no-featured-image-padding"],"yoast_head":"\n