Python is the fastest-growing programming languages today. Python was initially designed as an Object-Oriented Programming language for software and web development and later enhanced for data science.Common queries that could run in your mind are: how many users use tools, how easy it is to learn, how it is placed in the market, and if you are a business owner, you may be concerned about the cost of ownership of such tools. There are many tools to assist this Data-Driven Decision-making process, and choosing the right tool is a challenge for data scientists or data analysts. This raw data needs to be analyzed for business decision making, optimizing business performances, studying customer trends, and delivering better products and services. Within a year, there would be 44 trillion gigabytes of data accumulated in the world. That is where Big Data and Data Analytics tools and techniques help unfold the world of hidden, yet targeted information.Ī 2022 prediction says - each user would create 1.7 megabytes of new data every second. It implies that smart digital assistants track your search and load you with additional information that might help you make your dream come true.

What do you see? Advertisements of your dream destination pop up in every corner of the screen. You search more about the place and enjoy reading information. Journal of Statistical Software, 36(3).Imagine you wake up with your dream holiday destination and jump on to explore more about it online. Conducting Meta-Analyses in R with the metafor Package. I used this platform to learn the basics of R before using Metafor. If you are new to R, I suggest taking the Introduction to R course on DataCamp (affiliate link). If so – have a look at JASP or Jamovi below. However, since the package requires the use of the R environment, it may be difficult for those who have never used R before to become accustomed to the package so quickly. Their website contains some very useful analysis and plot examples with the corresponding code.

Metafor is one of the many R packages available to conduct meta-analyses and contains the most comprehensive analysis tools. Example forest plot created using Metafor in R.

Top software for data analysis