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Data Collection With Python & R
For most of the years, Data Scientists have used R programming for their Data Science operations. R is an open-source programming language which has specially designed keeping in view of statistics & has thousands of public packages. Many Data Scientists still use R for the data modelling operations in Data Science & is considered as the best alternative to Matlab and SAS.
Python is one of the simplest programming languages which is developed over the agile approach. Having a very short learning curve, Python is considered as the best programming language for Data Science operations. The use of Python isn’t just limited to Data Science; Python implementation can be seen in several other technologies. It is also being used to make graphics easily with large data which was earlier considered to be a challenging task. Get a clear idea of the Data Collection process in & the relevant tools by joining for Kelly Technologies Data Science Training In Hyderabad program.
Now let’s take a look at the Data Collection with both Python & R.
Data Collection With Python-
As we are clearly aware of the fact that data comes in several types & sizes. With the help of Python handling data of any format is seems to be a lot easier. Using Python, we can also import SQL tables directly into the programs source code.
Having a number of libraries, Python lets you access data from different websites & Wikipedia tables are not exception. Also data of any size can be easily centralized with just a single click by using Python. Having organized the data, it becomes easy to handle the data analysis operations.
Data Collection With R-
R supports importing data from only text files, CSV and Excel. It can also import data from SPSS or Minitab. Compare to Python, R is isn’t much versatile & is not capable of mining data from websites as seen in the case of Python.
To address the data collection issues in R, developers are working round the clock & in the process they have integrated several new packages into R. Packages like Rvest helps in performing basic web scraping task, magrittr helps the data preparation process.
Kumar Raja is a multidisciplinary writer, and lifelong learner. He’s a Digital Marketer in the making who spends his time analyzing the developments in the tech world. He’s very passionate about helping people understand the latest trends in the tech world through his well-researched articles. He’s able to condense complicated information about the latest technologies into easily digestible articles.