Publications by finnstats »
Line Plots in R-Time Series Data Visualization
Line Plot in R, this tutorial will show you how to create simple line plots, adjust the axis labels and colors of plots, and create multiple line graphs. Line plots aid in the visualization of time series data. Throughout this lesson, you will see examples of line plots created with the “EUStockMarkets” time series dataset included with the ...
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Boxplot in R Language
Boxplot in R, we will demonstrate how to make a box plot in the R programming language. A box plot summarises the distribution of numerical data that has been sorted. If you enjoyed our Data Science tutorials, please subscribe to our YouTube Channel.!Subscribe Now The first quartile is located 25% of the way through the sorted data. In other wor...
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Shiny Basics-Introduction
Shiny Basics, you will learn two standards for constructing a simple Shiny application in this tutorial. You’ll also learn how the program is structured, the components of the user interface, and where to put application logic. How to Calculate Root Mean Square Error (RMSE) in R » Shiny Basics To summarise, a Shiny application consists of two...
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R Packages for Data Science
R Packages for Data Science, you’ll learn about the tidyverse library in this lesson, which is a collection of R tools that you can use to manipulate your datasets. You’ll also discover how to use some of the dplyr package’s key functions to select and filter data. R Packages for Data Science An R package is a collection of code, data, doc...
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Data Normalization in R
Data Normalization in R, data normalization is a vital technique to understand in data pre-processing, and you’ll learn about it in this tutorial. Different numerical data columns may have vastly different ranges, making a direct comparison useless. Normalization is a technique for bringing all data into a comparable range so that comparisons ...
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How to do Binning in R?
Binning in R, you will learn about data binning in this tutorial. Binning develops distinct categories from numerical data that are frequently continuous. It’s very handy for comparing different sets of data. Binning is a pre-processing procedure for numerical numbers that can be used to group them. Why do we need binning? Binning can sometime...
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Convert Categorical Variable to Numeric in R
Convert Categorical Variable to Numeric in R, In this tutorial, you’ll learn how to convert categorical values into quantitative values to make statistical modeling easier. Most statistical models can’t take in strings as inputs. We’ll go through the conversion based on the airline data set that we reviewed in the previous post. The “Re...
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How to do Data Format in R
Data Format in R, You’ll learn about data formats and why reformatting data can help you enhance your data analysis in this tutorial. Data is typically acquired from a variety of sources and by a variety of persons, and it is kept in a variety of formats. Data formatting is the process of transforming data into a standardized format that allow...
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Descriptive Statistics in R
Descriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in exploratory data analysis. Before you invest time constructing intricate models, it’s necessary to first study your data when you start analyzing data. Calculating descriptive statistics for your data is an easy ...
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Grouping Data in R- Tidyverse Approach
Grouping Data in R, You’ll learn the fundamentals of grouping and how to utilize it to transform and visualize a dataset in this tutorial. Think about the flight delays in the airline dataset that we discussed in the previous post. We want to know the flight’s delay time varies depending on the day of the week? As a general thought, people f...
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