Add code: 1. Used missForest library for missing data imputation. Earlier tried the mice package but missing data persisted. 2. Hide df6 as its not required 3. add code for joining the tables using inner_join() of the dplyr library. 4. Univariate data visualization using histograms and density plots. The density plot showed variation or possible relations. 5. subset the data based on density plot visualizations 6. Boxplots for detecting outliers and excluded them by subsetting the data again.
Add code:
1. Used missForest library for missing data imputation. Earlier tried the mice package but missing data persisted.
2. Hide df6 as its not required
3. add code for joining the tables using inner_join() of the dplyr library.
4. Univariate data visualization using histograms and density plots. The density plot showed variation or possible relations.
5. subset the data based on density plot visualizations
6. Boxplots for detecting outliers and excluded them by subsetting the data again.

duttashi/LearningR