Highlights
1. Find outliers within the dataset for at least 2 columns of numeric data. No special functions should be used to find the outliers i.e. it should be done using if-else conditions, for loops, while loops, etc. (for detecting an outlier use the z-score method i.e. if the z-score of datapoint is greater than 3 or less than -3 consider the datapoint as an outlier and eliminate the entire row containing the datapoint from the dataset)
2. Using the Plotly package in R perform visual analysis of the dataset.
3. Note down your inferences about the dataset from the plots.
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