Exploring data (100 points)
In this phase, you will perform exploratory data analysis (EDA), the most important first step of any data analysis project.
a) Data visualization
Generate visualization using JMP for your variables that you want to analyze.
Create only the graphs that are relevant to your data.
For numerical variables, visualization (e.g., histograms) should be created, and shape and skewness should be discussed.
It is very important to explain your findings and insights from each visualization.
Please note, substantial points (20% to 30%) will be deducted if no interpretations and insights are found on your report.
b) Descriptive statistics
Calculate statistical summary measures for the numeric and categorical (qualitative) variables using JMP.
Summaries can include, but are not limited to, measures of center, measures of variation, measures of association (correlation), and quartiles.
Identify and comment on outliers and missing values.
It is very important to write your interpretations for each numerical measure. For example, you should interpret the mean, median, standard deviation, correlation coefficients, and the three quartiles.