Anirudh Singh 5/19/2019
abstract by
Nathalie Miebach is licensed under
CC BY-SA
2.0
Anirudh Singh
This portfolio is done to meet the requirements for ME447:Data Visualization which is taught at Rose-Hulman Institute of Technology. The aim is to create clear, honest and effective presentation of data using R and Rstudio.
Display 1 Fifa19 Young Player Analysis
This is a box and whiskers plot made to find the most promising young soccer players based on Potential and Nationality.
Display 2 BlackFriday Multiway Analysis This is a multiway plot made to look at how age group and occupation affect your purchasing power on Black Friday.
Display 3 Apple App Store Scatter Analysis This is a scatter plot analysis of apps to see if support for additional languages actually helps your popularity.
Display 4 Journalist Death Analysis This is a bar plot analysis of all the journalists that have died since 1992.
Display 5 Recreating a Graphical Lie This is a line plot to correct a graph that was shown on the news by Fox.
Display 6 Fifa19 Physical Attribute Analysis This is a parallel coordinate analysis of the physical attributes of players to look for defining qualities of attackers and defenders.
Display 7 Bank Survey Data Analysis This is a diverging stacked bar plot made to find pain areas in internet banking and ATM services
Reading responses Notes from the data graphics literature on elements of design and visual rhetoric.
Presentation prompts Prompts that question the decisions made during the creation of each visualization.
Reflections on rhetoric Reflection on the ideas of data journalists in discovering stories.