Analysing Uber Trips using PySpark. Issue 1 (March 2021)

• Record Type: Journal Article
• Authors: Pradhan, Rahul; Mannepallli, Praveen Kumar; Rajpoot, Vikram
• Is Part Of: IOP conference series. Volume 1119:Issue 1(2021)
• Publication Date: 2021-03
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1119/1/012013
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: All the enterprise has a lot of data. To develop business, on occasion records evaluation required. By examining facts, we get vital matters on which work out and make our graph for the future via which made best future decisions. Most of the organizations going on line the place the statistics generate will increase day by using day. To develop commercial enterprise with this aggressive surroundings records evaluation is necessary. This analytics venture is very important to recognize the use of records analytics. Through initiatives like this, many organizations can recognize a number of complicated operations. Uber Data Analysis task permits us to recognize the complicated facts visualization of this large organization. It is developed with the assist of 'R' programming language. In this venture we analyze the Daily, Monthly and Yearly Uber Pickups in New York City. This mission is primarily based on Data Visualization that will information you toward use of ggplot2 library for perception the data.