As you present, provide all the code used to perform the analyses and create the graphs

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Introduction to Data Programming Project

Guidelines

 Data Programming Project (40% of grade)

 Analyze a real-world issue in analytics

 Describe topic and objectives of the project

 Locate and compile a dataset from a reputable source in order to tackle the chosen issue

 Provide an overview of all selected variables in the dataset

 Multiple analyses, visualizations, and interpretations of the data and findings

 Must provide all R code and packages utilized

 Required structure

 ~15-minute presentation

 PowerPoint, Keynote, Google Slides, or equivalent

 This will be an individual project!

 Suggested format

 Present using 16-21 slides

 Introduction & Background (3-4 slides)

 Methods & Data Collection (3-4 slides)

 Results (6-8 slides)

 Discussion (3-4 slides)

 References (1 slide)

 APA preferred

 Introduction & Background (3-4 slides)

 What will you be studying?

 Provide background information

 Summarize previous research

 Visit Google Scholar and other reputable sites

 What is the goal of the project?

 List your research objectives

 What will your project attempt to answer?

 List your research question(s) and/or hypothesis(es)

 Should be based on previous research!

 Methods & Data Collection (3-4 slides)

 What data will you use to answer your research question(s) and/or test your hypothesis(es)?

 Locate a real dataset (Kaggle, Dataverse, Data.gov, The World Bank, etc.)

 Describe it!

 Source, data collection process, and all variables utilized

 Provide summary (e.g., descriptive) statistics and plots (e.g., histograms) as well 

 Results (8-10 slides)

 What did you find?

 Effectively explain statistical results

 Include multiple tables and graphs

 As you present, provide all the code used to perform the analyses and create the graphs

 Discussion (2-3 slides)

 What should we take away from your project?

 Review your findings

 Based on your analyses, what was the answer to your research question(s)?

 Did you find support for your hypothesis(es)?

 What explains your findings?

 Note strengths and limitations of your project

 Practical implications and an explanation of how managers could use your findings

 Directions for future research

 References (1 slide)

 What outside sources did you use to put together the presentation?

 Cite everything!

 Formatting

 Slides should be well-organized and adhere to a proper format

 Delivery

 Speak with fluctuation in volume and inflection to maintain audience interest and emphasize key points

 Be well-versed with the information

 Do not only read from the slides! 

 Supplementary Materials

 How can we replicate your project’s analyses?

 Provide all code utilized

 Properly-commented Knitted R HTML document or equivalent

 Should be easy to follow and reproducible in RStudio with no major issues

 Full rubric posted on Canvas

 Actual presentation must be recorded beforehand!

 Use Zoom

 Resources posted on Canvas

 Today’s Tasks

 Develop research topic, question, objectives, and hypothesis(es)*

 Search for previous research

 Begin looking for a dataset for your project

 Next Class (Thursday, April 1)

 Continue working on Data Programming Project

 Also…

 All R Package Group Cheat Sheets posted on Canvas

Attachments:

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