analytics

Exploratory Data Analysis in R

Data Manipulations

Exploratory Data Analysis is an essential step in making sense of large and complex datasets as it allows us to uncover patterns, identify outliers, and gain a deeper understanding of our data. First, we will go over some basic data manipulations in R.

Regression in R

Multiple linear regression is a statistical method used to model the relationship between multiple independent variables and a single dependent variable. By using this method, we can make predictions about the value of the dependent variable based on the values of the independent variables.

Dealing with Time Series Data

time series data

Time series data is an important type of data that is widely used in many fields, including finance, economics, and environmental science. In this blog, we will explore the importance of dealing with time series data and how R can help us to become better data scientists by providing us with the necessary tools to analyze and comprehend time series data. In this practice, we will work with a subset of analysts’ forecast data of earning per share (EPS) provided by Institutional Brokers’ Estimate System.