MakeOverMondayFall2023-Template_v4.0 (1) (1)

CGT 270 Data Visualization Makeover Monday Fall 2023 – Makeover Monday Template_v4.0 Name: Giovanni Tuzzio Date: 10/29/2023 Max points: 100 Lab section Thursday Time: _ 130-320 _ Show your work!!! Acquire Gather the information needed from the Makeover Monday web page to complete this section. Week: 10 Date: March 4 Year: 2015 Data: 10/29/2023 Source Article/Visualization: The chart is a map showing the number of births from adolescent women in Africa by country https://www.makeovermonday.co.uk/data/ Represent Critique Critique the visualization: what do you like about it, dislike about it, and what do you plan to do differently? I like how the visualization shows data for each country within Africa. Some of the countries don ’ t have any data, so in my recreation I will try to add in the data for those countries Based on your knowledge of the Periodic Table of Visualization Methods (discussed in class), discuss which one of the 6 categories does the visualization you provided in the Represent stage falls in . Identify the method most closely related to the visualization in the Represent Stage and discuss the characteristics: overview, detail, detail AND overview, divergent thinking, convergent thinking. Refer to Readings to assist with categorizing the visualization.

CGT 270 Data Visualization Makeover Monday Fall 2023 – Makeover Monday Template_v4.0 This visualization would fall under the Data Visualization category since it’s a representation of quantitative data. The chart showcases each African country and includes the number of adolescent women that have given birth for each country. Readings: Paper: Periodic Table of Visualization Methods: https://designsojourn.com/wp-content/uploads/periodic_table.pdf Interactive Periodic Table of Visualization Methods https://www.visual-literacy.org/periodic_table/periodic_table.html Mine What question(s) are you attempting to answer? How many adolescent women have given birth in each African country? Filter Show (display, list, make it visible) the filtered data. Stakeholders • Who is your audience? What assumptions did you make? What visualization tool/software did you use? Viewers who are curious about how many adolescent women give birth in African countries. African citizens might find the data interesting as well. I will be using Excel What to submit: This document in PDF format only (if you do not know how to do this, see Lab 0 Exercise 1). Answer all of the questions. Save this document as: LastnameFirstInitial_CGT270F23_MM#_YYYY.pdf. Replace # with the Makeover Number (1, 2, 3, etc.), replace YYYY with the year the data is representing. Sketch your Makeover In the space below, sketch out your ideas for refined visualization. You must use pen/pencil and paper to sketch out your idea, then take a photo of your sketch and include it in the space below. Applying a filter to computer generated work will result in zero points for this assignment.

CGT 270 Data Visualization Makeover Monday Fall 2023 – Makeover Monday Template_v4.0 Refine (Makeover – Portrait View)

CGT 270 Data Visualization Makeover Monday Fall 2023 – Makeover Monday Template_v4.0 Grading Rubric Excellent Good Fair Needs Improvement Meets ALL or most of these: Makeover is esthetically pleasing (color, perception), best practices followed (insightful), Correct dataset downloaded; provided an interesting point of view of the data; critiqued previous makeover, critique is constructive (indicates one thing that is done well, and one thing that could be done differently, what will be done to improve the visualization), assumptions (more than one) are listed. [50 pts] Meets MOST of these: Makeover is esthetically pleasing (color, perception), best practices followed (insightful), Correct dataset downloaded; provided an interesting point of view of the data; critiqued previous makeover, critique is constructive (indicates one thing that is done well, and one thing that could be done differently, what will be done to improve the visualization), assumptions (more than one) are listed. [25 pts] Consistently meets SOME of these: Makeover is esthetically pleasing (color, perception), best practices followed (insightful), Correct dataset downloaded; provided an interesting point of view of the data; critiqued previous makeover, critique is constructive (indicates one thing that is done well, and one thing that could be done differently, what will be done to improve the visualization), assumptions (more than one) are listed. [12.5 pts] Little to no evidence of the understanding of the data visualization process. Lackluster makeover or no makeover. Little effort. [0 - 11 pts] Sketch included: hand drawn, data vis best practices evident. [25 pts] Sketch included: hand drawn, lacking data vis best practices. [12.5 pts] Sketch included, but was generated by computer [6.25 pts] No sketch included. [0 pts] More advanced chart types used [25 pts] More advanced chart types used, followed most best practices [12.5 pts] Basic chat types used in the makeover [6.25 pts] Little to no improvement in visual representation of the data [0 pts] Deductions Description Deduction File naming Convention not used -2 Did not remove unwanted/unused pages -3 Did not use data from the assigned year -5