Data Cleaning and Visualisation

Words: 177
Pages: 1
Subject: Uncategorized

Remarks:
1. Do not remove the missing value before export the “Clean” data, just change the nvalid categories/values for the categorical variables to NA. And also treatment for the outlier is needed but not delete the missing value in continuous/numeric variables.

2. Missing value can be cleaned after exporting the “Clean” data and before the PCA.

3. 5 pages answer in report style, “Clean data” file and R script written is needed for the assigment.

4. Exempler is provided as reference

5. i have already prepared the sample of 500 observations(mydata.csv), so can skip the part in preparing a sub-sample that is unique to my student number

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