Prior knowledge of programming and statistics are not required. It's only an introduction to Advanced Data Analysis, and we will continue every Saturdays with more advanced tasks. The main goal is to develop the interest of mathematical programming among students from Africa. However, anyone who interested is welcome to join and learn. This class will be a good introduction to data analysis with advanced statistical software like R. Below summarizes the content of this YouTube video- Second lesson:
DISCLAIMER: This is a continuation of the first or previous YouTube video, so watch before this second video.
This primary goal of this second meeting/youtube video will be the following (from Saturday's class dated October 24, 2020):
1. I will give a quick clarification about some concerns raised by some students & what to do to become a good programmer and data analyst/scientist.
2. Create/add an additional variable called BMI (this will be continuous/numerical variable) to the Data_School.csv data based on the variables: height and weight. Will learn how to save this updated data directly into our repository/folder named DataAnalysis_results_R. This will help you to create variables to any data you have and save the new data as CSV for future use.
3. We will learn how to convert the continuous BMI into BMI status with categories: underweight, if BMI less than18.5; normal weight, if BMI between 18.5 & 24.9; overweight, if BMI between 25.0 & 29.9; & obese if BMI is greater 29.9.
4. We shall extend our complex summary statistics function to compute extra statistics including graphs (ref: Watch first YouTube video).
5. Finally, we shall learn more about how to create our own functions {for example Pearson Correlation Coefficient} and compare results with an in-built function. The goal of this is to help you to create complicated functions you see in articles or wish to evaluate in your research as well as in the process of doing Advanced Data Analysis.
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