This is the Most Trending debut of Aspiring data scientists Here we will try to understand the differences between both programming Language In the battle of data science tools, python and R both have their pros and cons. Selecting one over the other will depend on the use-cases, the cost of learning, and other common …
R is incredible software for statistics and data science. But while the bits and bytes of software are an essential component of its usefulness, software needs a community to be successful. As we came to Know that R Language is growing rapidly and Extremely used and there are lots of new things happening all the …
Few Important Things to know More about R Language: Read More »
The World Bank requires scatterplot depicting Life Expectancy (y-axis) and Fertility Rate (x-axis) statistics by Country. The scatterplot needs to also be categorized by Countries’ Regions. we have been supplied with data for 2 years: 1960 and 2013 and we are required to produce a visualization for each of these years. Some data has been …
1.Which function did we use to import a csv file into R? A. write.csv () B.read.csv () C. import.csv () D. read. File () 2. What is the core difference between a data frame and a matrix? A. A Data Frame can have Named rows & columns, but a matrix Cannot B.A Data Frame can …
As we have seen the data in Plots and Box plot. We have different Plotting shapes available in R Language: If shape given as 0 the data is represented in square plots. If shape given as 2 the data will be represented in triangle shape Now let’s take a small example: We will be using …
Visualize the Data by using More advanced Functions: Read More »
First check Packages related to qplot function are installed or not How do we check?🤔🤔 Type? qplot and run this line of code As we can see the information in console pane that No documentation available for qplot in specified packages, so now we are clear that the packages related to qplot function are not …
Introduction to a Powerful Function qplot in R Language: Read More »
First let me explain what is Inferior complexity The American Psychological Association defines an inferiority complex as: “…a basic feeling of inadequacy and insecurity, deriving from actual or imagined physical or psychological deficiency. Let me explain you clearly on this, For example : if your friend is in great shape, charming and she is a …
We will be using the same dataset used in my previous post (https://sritechstudio.com/demographic-analysis-using-dataframes/) Now let us work on some basic and essential operations in Dataframe Subsetting : Subsetting in R is a useful indexing feature for accessing object elements. It can be used to select and filter variables and observations. You can use brackets to …
Working with Basic Operations and Filtering Dataframes Read More »
Assume that You are employed as a Data Scientist by the World Bank and you are working on a project to analyze the World’s demographic trends. You are required to produce a scatterplot illustrating Birth Rate and Internet Usage statistics by Country. The scatterplot needs to also be categorized by Countries’ Income Group You have …
A data frame is a table or a two-dimensional array-like structure in which each column contains values of one variable and each row contains one set of values from each column. Following are the characteristics of a data frame. The column names should be non-empty. The row names should be unique. The data stored in …
Subsetting in R is a useful indexing feature for accessing object elements. It can be used to select and filter variables and observations. You can use brackets to select rows and columns from your dataframe. subset () function in R Language is used to create subsets of a Data frame. This can also be used …
Matplot Function is useful for quickly plotting multiple sets of observations from the same object, particularly from a matrix, on the same graph. It Plots the columns of one matrix against the columns of another (which often is just a vector treated as 1-column matrix). Syntax: Matplot (x, y, type = “p”, lty = 1:5, …
Scenario: Assume that You are working as a data scientist for a consulting firm E&Y. One of your colleagues from the Auditing department has asked you to help them assess the financial statement of organization. You have been supplied with two vectors of data: monthly revenue and monthly expenses for the financial year. Input: Please …
Can we Name the Rows & Columns in R Matrix? Yes It is possible to name the rows and columns of the matrix during creation with the dimnames argument of the matrix () function Let’s look at this below example: Here I have assigned a Variable my_data to print elements from 1 to 5 and …
If you are confused to use any Functions or operations in R , Just type question Mark and function name , You will get the documentation of the function in Help pane. Creating First matrix : Here we are creating our first Matrix : Variable my_data is created and iam trying to print 1 to …
Matrix is a rectangular arrangement of numbers in rows and columns. In a matrix, as we know rows are the ones that run horizontally, and columns are the ones that run vertically. In R programming, matrices are two-dimensional, homogeneous data structures. These are some examples of matrices: To create a matrix in R you need to …
From the above example: variable xyz is assigned to value 5, here Variables abc and axz prints the five random Numbers. we can see the Output values of abc & axz in the environment Pane. Variable abc contains : -0.876124530, 0.190421711 , 0.006127489, 1.852267401, 0.530870030 Variable axz contains : -1.3806327, -0.7074115 , -1.3106574 , 2.0746617 …
1. Replicate Function in R: Rep() is the function in R that replicates the values as per the argument passed. in the above example Sri is the string and 3 is the argument Passed. The Output printed in console is “sri” “sri” sri’ , as the argument passed is 3 so the Value is printed thrice. …
Create vectors using C function : C Function Combines Values into a Vector or List, This is a generic function which combines its arguments. The default method combines its arguments to form a vector. All arguments are coerced to a common type which is the type of the returned value. In a Layman Language Generally …
Create Vectors with different Functions, Operators & Vector Elements Read More »
As we discussed about Vectors in my Previous Post, if not referred please find the below link to explore. Vectors are the most basic R data objects and there are six types of atomic vectors. They are logical, integer, double, complex, character and raw. Lets Take some quick examples to Create Vector : Single Vector …
