Hi,
1. Perform basic inspection of the data. Do we have any missing values?
2. What is the datatype of each feature (column)? For example: Scale of variable? Quantitave/Qualitative, Continues/Discrete?
3. Use summary function to display a summary of the features.
4. How many males/females? Plot using a bar plot.
5. How many undergraduate/graduate students? Plot using a bar plot.
6. Is the average SAT score same for graduates and undergraduates?
7. Between men or women? Who reads the newspaper more frequently and which group has more variation? (show using box plots)
8. For age, Hight, and Newspaper readership, calculate the following using R:
a. Measures of location such as mean, median, and mode (where applicable)
b. Measures of variation such as variance, standard deviation and IQR
1. Perform basic inspection of the data. Do we have any missing values?
2. What is the datatype of each feature (column)? For example: Scale of variable? Quantitave/Qualitative, Continues/Discrete?
3. Use summary function to display a summary of the features.
4. How many males/females? Plot using a bar plot.
5. How many undergraduate/graduate students? Plot using a bar plot.
6. Is the average SAT score same for graduates and undergraduates?
7. Between men or women? Who reads the newspaper more frequently and which group has more variation? (show using box plots)
8. For age, Hight, and Newspaper readership, calculate the following using R:
a. Measures of location such as mean, median, and mode (where applicable)
b. Measures of variation such as variance, standard deviation and IQR