Introduction to Basic Statistics with R

Introduction to Basic Statistics with R: Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It has become an essential tool in many fields, including science, engineering, medicine, business, and economics. In this article, we will introduce you to the basic statistics concepts and their implementation … Read more

Using Python Analyze Data to Create Visualizations for BI Systems

In today’s world, data is being generated at an exponential rate. In order to make sense of this data, it is important to have a Business Intelligence (BI) system that can analyze the data and present it in a meaningful way. Python is a powerful programming language that can be used to analyze data and … Read more

How to use R to create interactive geo visualizations?

Geovisualization is the process of displaying geospatial data in a visual form that helps people better understand and interpret data. R is a popular programming language for data analysis and visualization, and it has several packages that make it easy to create interactive geo visualizations. In this article, we will explore some of the R … Read more

How to share your dataviz online with RStudio and GitHub Pages?

How to share your dataviz online with RStudio and GitHub Pages? Data visualization is a powerful tool for communicating complex information in an easily digestible way. With the rise of data-driven decision-making, the ability to create and share data visualizations has become increasingly important. Fortunately, with the help of tools like RStudio Connect and GitHub … Read more

Data Visualization in Python using Matplotlib

Data visualization is an essential aspect of data analysis. It helps to understand data by representing it in a visual form. Python has several libraries that are used for data visualization, and Matplotlib is one of the most popular ones. Matplotlib is a Python library that is used to create static, animated, and interactive visualizations … Read more

How to create interactive dashboards with Shiny and Plotly in R?

How to create interactive dashboards with Shiny and Plotly in R? Creating interactive dashboards is an important task in data analysis and visualization. Dashboards provide a way to visualize data and communicate insights to stakeholders. In this article, we will explore how to create interactive dashboards using Shiny and Plotly in R. Shiny is a … Read more

Creating a normal distribution plot using ggplot2 in R

Creating a normal distribution plot using ggplot2 in R: The normal distribution is a probability distribution that is often used to model real-world phenomena, such as the distribution of test scores or the heights of a population. It is a bell-shaped curve that is symmetric around its mean value, and its standard deviation determines its … Read more

The Python Workbook

The Python Workbook” is a collection of exercises and projects designed to help individuals learn and practice the Python programming language. It is suitable for beginners who have little or no prior experience with programming, as well as for intermediate programmers who want to enhance their skills. The workbook covers various topics in Python, including … Read more

How to use RStudio’s visual editor and code snippets for faster dataviz?

How to use RStudio’s visual editor and code snippets for faster dataviz? RStudio is a popular Integrated Development Environment (IDE) for the R programming language. It offers a variety of features that can help make data visualization easier and faster. One of these features is the visual editor, which allows users to create visualizations by … Read more

Introduction to Econometrics with R

Econometrics is a branch of economics that uses statistical and mathematical methods to analyze economic data. It is an important tool for economists and policymakers to make informed decisions about economic policies and forecast economic outcomes. R is a programming language widely used in econometrics to analyze, visualize, and interpret data. In this article, we … Read more