Abcott Institute Analyzing and Visualizing Raw Data Into a Visual Format Discussion

Part1: There are countless graphs and charts to choose from when converting raw data into a visual format. For many, it can be difficult to decide whether to rely on a straightforward pie chart or bar graph or to opt for a more spatially complex chart type.

Two common questions we often hear are: “How do you know which graph to use?” and “How do you know which chart to use?” The answer, as always, depends on the nuances of your readership, including their experience level and familiarity with big data analytics.

Based upon your understanding of data visualizations, what are 5 Data Visualization pitfalls? What would you do to fix these pitfalls? How can you avoid making future mistakes in your own visualizations?

Discussion Length (word count): At least 250 words (not including direct quotes).

Part2: You are also required to post a response with facts and examples to a minimum of 2 other student in the class. (80-100 Words per response)

This assignment should be in APA format and have to include at least two references (Use two or more APA in-text citation). By submitting this discussion, you agree for Plagiarism check with all the existing internal student papers and outside external references.