How to Choose the Right Data Visualization is divided into chapters, one for each of the main categories for using data visualization. Each chapter is headed by a short introduction and a list of chart types falling into that category. Each chart type is accompanied by a brief description and one or more icons. Below … Read more
Solving a System of Equations in R With Examples: Solving a system of equations in R is a common task in mathematical and statistical applications. R has several built-in functions and packages to solve systems of equations, including the lm() function and the ‘rootSolve’ package. In this article, we will demonstrate how to solve a … Read more
This book contains examples of different types of hypothesis testing to determine if you have a statistically significant result. It is intended to be direct and to give easy to follow example problems that you can duplicate. In addition to information about what statistical significance is, or what the normal curve is exactly, the book … Read more
Download Statistics And Machine Learning We will go back to mathematics and study statistics, and how to calculate important numbers based on data sets. We will also learn how to use various Python modules to get the answers we need. And we will learn how to make functions that can predict the outcome based on … Read more
With the help of the R programming cheat sheet, we can perform a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and … Read more
I have been using R for the longest time in my professional life, I realized that R outclasses Python in several use cases, particularly for statistical analyses. As well, R has some powerful packages that were built by the world’s biggest tech companies, and they aren’t in Python! And so, in this article, I wanted to go … Read more
If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. It can be fun to sift through dozens of datasets to find the perfect one, but it can also be frustrating to download and import several CSV files, only … Read more
You can display your data analysis reports in several ways in Excel. However, if you know the right data visualization technique your data analysis results can be more notable, and your audience can quickly grasp what you want to project in the data. It also leaves a good impact on your presentation style. You can … Read more
In this day and age, our data dependence is overwhelming. Thanks to our cellphones and laptop, a halo of data surrounds our life. Data is nothing but a piece of classified information. Microsoft Excel is one of the most used data handling/analysis software. At the same time, one tiny mistake in analyzing data can cause … Read more
If you’re a data scientist or data analyst, 80% of your time you invest in three important steps of data analysis i.e. Data Cleaning, where you transform, rearrange the data to give it a proper shape to make it suitable for data analysis. Next is performing calculations to extract useful information from your dataset and make it ready for the … Read more