CENP 3109 Data Processing with R and Python Exam 2019
About this paper
CENP 3109: Resit Examination, July 2019, University of Bamenda, College of Technology, Computer Engineering, Software Engineering option, Level 300: Exercise 1 repeating the rainfall vector and matrix work with mean/standard-deviation, cumulative sum and which-day-highest questions; Exercise 2 repeating the snow-cover dataset questions; Exercise 3 writing R functions to detect and locate missing values with is.na/any/which; Exercise 4 a Python true/false quiz on object orientation and indexing, plus writing a Python function to generate the first n terms of the Fibonacci sequence.
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University of Bamenda
College of Technology - COLTECH
Computer Engineering - CEN
Data Processing with R and Python
Exam · First Semester Resit · Level 300
From this paper
- 4.
Calculate the row means of this matrix (Hint: use rowMeans). Also calculate the standard deviation across the row means (now also use sd). (1.5 mark)
- 1.
Write a function that checks if there are any missing values in a vector (using is.na and any).
At a glance
- Course code
- CENP3109 (CENP 3109)
- Type
- Exam
- Year
- 2019
- Level
- Level 300
- Semester
- First Semester Resit
- Proposed solution
- Included
Where it's from
University
University of BamendaFaculty
College of Technology - COLTECHDepartment
Computer Engineering - CEN
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