Temple University 4 credits EES
Computer technology and the internet have produced a glut of digital information that can't be communicated without using charts and graphs. But like all forms of human communication, graphs can fib a little or lie outright. There are three basic ways data visualizations can go wrong: (1) The plot can be evil, designed to persuade or mislead rather than inform; (2) the data set may be suspect (too small, biased, or full of errors); or (3) even if the plot and data are okay, they may not support the claims being made. In this class, we will explore the representation and misrepresentation of data, learn the questions to ask about data quality, and how to spot falsehoods and fallacies in the digital age. Examples will be drawn from science, politics, marketing, business and more. Protect yourself by learning to spot evil plots! Students cannot receive credit for this course if they have successfully completed EES 0973.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.