There are three R files, each one consist on a main phase of the project, these are: data preparation, data cleaning and data analysis. This file explains the content of each one and the result. To ...

R can handle complex data structures — such as matrices, lists, and data frames — and perform various types of data analysis, such as exploratory, descriptive, inferential, predictive ...

Analyzed the relationship between BMI and life satisfaction using data from the CCHS. Explored the moderating effect of diabetes and accounted for nonlinearity in the relationship. Built multiple ...

Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional ...

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop ...

3-6 years of hands-on experience with R/Python and SQL is must. Should have sound experience in data mining and data analysis. Excellent critical thinking, verbal and written communications skills.

FlytBase Inc., a leading drone auton software platform company, announces the launch of AI-R (short for Aerial Intelligence ...