|A vector is a sequence of data elements of the same basic type. Members in a vector are called components.
|Lists are the R objects which contain elements of different types like − numbers, strings, vectors or another list inside it.
|A matrix is a two-dimensional data structure. Matrices are used to bind vectors from the same length. All the elements of a matrix must be of the same type (numeric, logical, character, complex).
|A data frame is more generic than a matrix, i.e different columns can have different data types (numeric, character, logical, etc). It combines features of matrices and lists like a rectangular list.
|R programming Language
|Python programming language
|Model Building is similar to Python
|Model Building is similar to R.
|Model Interpretability is good
|Model Interpretability is not good
|Production is not better than Python.
|Production is good
|R has good community support over Python.
|Community Support is not better than R
|Data Science Libraries are same as Python.
|Data Science Libraries are same as R.
|R has good data visualizations libraries and tools
|Data visualization is not better than R
|R has a steep learning curve.
|Learning Curve in Python is easier than learning R.
read.csv()” function and specify the path of the file.
Sepal.Length, Sepal.Width, Petal.Length, Petal.Width and Species. We will calculate the mean of Sepal-Length across different species of iris flower using the
mean() function from the mosaic package.
3x3x2 array represents 2 matrices each of dimension