Home > Blogs > Google and R: 3 Ways You Can Write History with Them
R is a free programming language used by almost every data scientist for big data analytics, statistical analysis, reporting, and graphical representation. Its applicability makes it a must-know skill and a vital element of every data science course around the world.
While R itself is an integral part of data analytics, combining it with Google and its various platforms can do wonders for the data analysis process. Upon combining the technology available at Google and R, you are introduced to many new and brilliant features that ease the data analytics process, generate data visualizations and perform statistical analysis to better understand and improve projects and businesses. In short, if you’re an R programmer, and if you land a job at Google, this is how you can create history with them:
1. R and Google Cloud Platform
While working with relational data, many developers store aspects of customer metrics, business logic and other data in a MySQL database. When big data scientists analyze it for insights, they usually use R for creating quality visualization and statistical summaries. However, to do so, the data scientist must first connect MySQL with R.
Google Cloud Platform contains Google Cloud SQL, a relational database service that’s simple to access and maintain. Google uses R with its Google Cloud SQL. It can also allow you to record or migrate analyzed data without having to manage your own hardware. This can scale up technical infrastructure and save time on high volume migrations. All in all, Google Cloud and R is the integration of two vital components of data science. By working with such cutting-edge technology, you will get all the inspiration you need to create waves in the field of data science.
2. Effective online advertising
Google’s online advertising is one of its highest revenue generators as the company focuses highly on ad effectiveness for their customers. Based on what you have purchased and searched online, it shows you the most relevant ads without using any private information of a web user. Google uses R to run thousands of studies every month, making the ads highly effective. Using R has allowed Google to rule the online marketing segment and if you ever work for Google, you too can write history by using R for advertising.
3. Predict economic activity
Google also uses R for predicting various activities and analyzes data from different models like automatic sales, retail sales, online sales and other segments that have an enormous amount of raw data to process. R enables Google to know how many viewers are watching the ads and how many are switching over. This ability to predict economic activities is why companies are willing to pay Google to show their ads on its search platform.
To sum things up, data science with R is going great. However, using R programming at Google will allow you to take things to the next level, simply because of the scope of applications with which you can use R.