Use R Programming to perform the following analysis
- Print the structure of your dataset
- List the variables in your dataset
- Print the top 15 rows of your dataset
- Write a user-defined function using any of the variables from the data set.
- Use data manipulation techniques and filter rows based on any logical criteria that exist in your dataset.
- Identify the dependent & independent variables and use reshaping techniques and create a new data frame by joining those variables from your dataset.
- Remove missing values in your dataset.
- Identify and remove duplicated data in your dataset
- Reorder multiple rows in descending order
- Rename some of the column names in your dataset
- Add new variables in your data frame by using a mathematical function (for e.g. multiply an existing column by 2 and add it as a new variable to your data frame)
- Create a training set using random number generator engine.
- Print the summary statistics of your dataset
- Use any of the numerical variables from the dataset and perform the following statistical functions
- Mean
- Median
- Mode
- Range
- Plot a scatter plot for any 2 variables in your dataset
- Plot a bar plot for any 2 variables in your dataset
- Find the correlation between any 2 variables by applying least square linear regression model.