2019Unpublished venueRequires access

Data Visualization

Ajay Ohri

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Abstract

Data Visualization is an important part of the data science process. This chapter explains how to do data science in both languages. The anscombe dataset shows the importance of data visualization. On statistical examination it shows data is similar. But on visualization it shows the data is very different. But the graphs are quite different. This chapter presents the following graphs for both SAS and R. The graphs include: bar plot, bar-line plot, box plot, bubble plot, heat map, histogram, line chart, mosaic plot, pie chart, and scatter plot. The Tasks and Utilities option in SAS Studio enables graphs quite easily as well as generation of code. Due to printability options the authors are giving partial output in the chapter. The chapter also includes a list of quizzes and answers related to data visualization.

About this research paper

What this paper is about

Data Visualization is an important part of the data science process. This chapter explains how to do data science in both languages. The anscombe dataset shows the importance of data visualization. On statistical examination it shows data is similar. But on visualization it shows the data is very different. But the graphs are quite different. This chapter presents the following graphs for both SAS and R. The graphs include: bar plot, bar-line plot, box plot, bubble plot, heat map, histogram, line chart, mosaic plot, pie chart, and scatter plot. The Tasks and Utilities option in SAS Studio enables graphs quite easily as well as generation of code. Due to printability options the authors are giving partial output in the chapter. The chapter also includes a list of quizzes and answers related to data visualization.

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Available abstract

Data Visualization is an important part of the data science process. This chapter explains how to do data science in both languages. The anscombe dataset shows the importance of data visualization. On statistical examination it shows data is similar. But on visualization it shows the data is very different. But the graphs are quite different. This chapter presents the following graphs for both SAS and R. The graphs include: bar plot, bar-line plot, box plot, bubble plot, heat map, histogram, line chart, mosaic plot, pie chart, and scatter plot. The Tasks and Utilities option in SAS Studio enables graphs quite easily as well as generation of code. Due to printability options the authors are giving partial output in the chapter. The chapter also includes a list of quizzes and answers related to data visualization.

Key concepts: Plot (graphics), Bar chart, Visualization, Scatter plot, Pie chart, Chart, Computer science, Data visualization

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