Section 1: Discuss Topic Background (Citations are required)
Section 2: Data Analysis (R Studio - R language - Library: example, mosaic)
Describe the fields of the dataset. (Use the data detail file for assistance)
Create a summary of stats for the dataset. **Stats applicable to data.
Discuss the Min, Max, Median, and Mean of the continuous fields.
Discuss the Counts and Percentages of the categorical fields. (ex. Pie Chart)
Discuss any missing data elements and/or issues/concerns with the dataset
Section 3: Data Visualizations (R Studio - R language - Library: example, ggplot2)
Graphs: Bar Plot, Box Plot, Scatter Plot, and Histogram
Label: X-Axis, Y-Axis, and Titles
Discuss: Plot, Breakout, Drilldown, and Position (only Bar Plot)
Findings: What story is presented in the visualizations?
Minimum: 3, **DO NOT INCLUDE SCREEN CAPTURES FROM RStudio windows – just the visuals
Section 4: Discuss Findings (Citations are required)
Compare (Similar)
Contrast (Difference)
Articles that Support
Articles that do not Support
Conclusion of the findings
Section 5: Reference List
At least 6 References (3 must be scholarly peer-reviewed articles)
**Wikipedia, encyclopedia, asks sites are not acceptable sources
Details- PowerPoint Presentation
Summarize research
Data visualizations
Findings
Conclusion
Include speaker notes
Summarize the information from the Word document. Slides are used to present high level points only with the speaker notes section used for any full text needed. This is a summary presentation only. A guideline would be no more than 10 slides including the title slide (Slide 1) which has the group number and the names of all the contributors and reference slide (Slide 10). Example: Slide 2 could be the dataset name and description, Slides 3, 4 , 5 and 6 could be the data visualizations, Slides 7 and 8 could be the findings and Slide 9 could be the conclusion. Please remember the presentation is just a summary.
Sample Solution