Data Wrangling - IT Assignment Help

Assignment Task

Task: data reshaping
In this task, you need to study the effect of different normalization/transformation methods (i.e. standardization, minmax normalization, log, power, box-cox transformation) on the columns scrapped from the covidlive.com.au website (i.e., 30_sep_cases, last_14_days_cases, last_30_days_cases, last_60_days_cases) and observe and explain their effect assuming we want to develop a linear model to predict the “30_sep_cases” using “last_14_days_cases”, “last_30_days_cases”, “last_60_days_cases” attributes. When reshaping the data, we have two main criteria. First, we want our features to be in the same scale and second, we want our features to have as much linear relationship as possible with the target variable (i.e., 30_sep_cases). You need to first explore the data to see if any scaling or transformation is necessary (if yes why? and if not, also why?) and then perform appropriate actions and document your results and observations.

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