Objectives The objectives for the assignment include giving students the opportunity: · to apply the material from the lectures/reading during the creation and self-evaluation of their own “data story” IMPORTANT: · You may use any data visualization tool (e.g. Tableau, Excel, Power BI, R/ggplot, python/matplotlib) to complete the requirements for this assignment. · You may use the same dataset and any relevant data visualizations you have created as part of the previous assignment(s).

Objectives

The objectives for the assignment include giving students the opportunity:

· to apply the material from the lectures/reading during the creation and self-evaluation of their own “data story”

IMPORTANT:

· You may use any data visualization tool (e.g. Tableau, Excel, Power BI, R/ggplot, python/matplotlib) to complete the requirements for this assignment.

· You may use the same dataset and any relevant data visualizations you have created as part of the previous assignment(s).  

Overview

For this assignment, students will use a business/organizational context and related data to create a “data story”.  In addition to creating their “data story” students will self-evaluate using the provided “Data Story Evaluation Framework”.

Data Story Evaluation Framework

Scoring Item/Category
Score*
Additional rationalization/evaluation comments

Step 1: Who, What, How
NA
NA (this is a category)

It is obvious who the intended audience is
 
 

What the audience needs to know and/or do is clear
 
 

The approach taken in the story for the audience to know and/or do is effective
 
 

Step 2: The Big Idea and 3-minute Story
NA
NA (this is a category)

The Big Idea is very concise and effective
 
 

(optional) There aren’t any unneeded words in the 3-minute story
 
 

Step 3: Storyboard
NA
NA (this is a category)

There is a clear beginning
 
 

There is a clear middle
 
 

There is a clear end
 
 

The narrative is only added as needed
 
 

There are no gaps which could be bridged with a narrative
 
 

Step 4: Create Data Visualization for Each Frame
NA
NA (this is a category)

All data visualizations are independently effective
 
 

Step 5: Assess Story Clarity
NA
NA (this is a category)

Horizontal logic assessment score
 
 

Vertical logic assessment score
 
 

(optional) External reviewer score
 
 

Score (average)
 
 

* score includes NA, and 0 – 2; 2 = “perfect”, 1 = “not perfect”, 0 = “missing/incorrect”

Steps

1. Choose a dataset;  if you don’t have a dataset see:

· https://opendata.utah.gov/

· https://github.com/fivethirtyeight/data

2. Analyze the dataset and determine what “data story” will be created

3. create a “data story” including:

· The Big Idea

· A storyboard – this should be an image of the sticky notes

· The multi-frame data story – i.e.  three or more frames are required

4. Evaluate your “data story” with the provided “Data Story Evaluation Framework”

5. See the section, “Submissions” for the submission requirements.

Submissions

A single pdf file will be submitted for this assignment.  The pdf will include:

· A title page including:

· Full name

· Submission date

· Unid

· Course name

· Submission title (E.g. Assignment 3)

· Page numbers

· The Big Idea

· An image of student’s storyboard

· The multi-frame “data story”

· Student’s self-evaluation of their “data story” using the provided “Data Story Evaluation Framework”.

Grading

(see Rubric on Canvas Assignment)

Appendix

Sample Submissions for Storyboard

The following sample submissions for the storyboard component of this assignment represent a range of different approaches.  All approaches received full points for the given assignment component.

Sample 1

Sample 2

Sample 3

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