API CAN CODE �Doing Data Science

Final Project 4: Visualizing Data

This work was made possible through generous support from the National Science Foundation (Award # 2141655).

Warmup

​

What do you notice?

​

What do you wonder?

​

Can you think of another graph to represent this data?

​

�

2

View on your screen

Recap: Project Parts 1, 2, and 3

Part 1

• Chose a dataset to work with
• Created an EduBlocks program to retrieve data

​

Part 2

• Drafted 5 questions for peer review
• Revised original list of questions

​

Part 3

• Filtered data, checked for missing data, and trimmed down to a desired list of variables

3

Today’s Focus

​

4

Research Questions

Identify questions about this dataset

Finding �Data

Access and evaluate a relevant dataset

Data �Refining

Filter, clean and trim the data

​

Data Visualization

Create data visualizations and interpret

Communicating Results

Share your conclusions and insights

Today’s Focus: Data Visualization

There are four main goals for Part 4 of the final project: �

• Plan analysis in small groups
• Conduct any necessary variable transformations
• Create 3-5 graphs to visualize different �parts of the story and answer your �question of interest!
• Peer review each others’ data�visualizations and draft interpretations

5

Planning Analysis in Small Groups

• Discuss your topic and question(s) with 1-3 other students. �
• Thinking about each person’s question:
• What analysis could they do to answer this question?
• Could they transform any variables to help answer the question?
• What graphs would help show the answer to this question?

6

Conduct Analysis in CODAP

• Start the Story Builder plugin in CODAP to track your progress. �
• Think about the analysis you want to conduct. Are there…
• Means, standard deviations, confidence intervals, or other statistics you want to calculate?
• Linear models or new variables to create?
• One- or two-variable graphs to show your findings?�
• As you try out stages of your analysis, create Moments in Story Builder to save your progress!

7

Variable Transformations

• Open this dataset in CODAP.�
• Use the “+” button to add an attribute column. �
• Name the new attribute “Millions.” Click the attribute name and click “Edit Formula.” �
• In the Edit Formula screen, set this attribute to Worldwide gross divided by 1000000. What happens?

8

Variable Transformations

• Open this dataset in CODAP.�
• Use the “+” button to add another new attribute column. �
• Use this variable to record whether the movie peaked at #1 or not. �
• Go to Edit Formula and set it to �if(Peak = 1, “Yes”, “No”)��What happens?

9

Transformations Activity - Recap

Data transformations can be used to change the units or place value of a numeric variable, or to store the information in a qualitative variable in a new way. �

The examples we looked at here were:�

• Creating a new variable to store $ in millions, and
• Creating a new variable based on the value of another qualitative variable

10

Variable Transformations

• As you work with your data, you may need to “transform” some variables and create new ones. �
• Would it help to:
• Have any Yes/No or 1/0 variables for whether a particular observation meets certain criteria?
• Multiply or divide any variables by a value?
• Add or subtract anything to any variables?�
• Remember to save each Moment in Story Builder.

11

Data Visualization

• Create 3-5 graphs to answer your question or different pieces of the story.�
• Consider:
• What one-variable graphs could you create to focus on the distribution of a particular variable?
• What two-variable graphs could you create to examine relationships between two or more variables?�
• Remember to save each Moment in Story Builder.

12

CODAP Share Link Generation

• A share link in CODAP will allow you to share the current state of your CODAP analysis�
• In the CODAP menu, go to “Share…” and then “Get link to shared view.”

13

CODAP Share Link Generation

• In the following screen, click “Enable Sharing.”�
• Once enabled, copy the link that generates. If you make later changes, be sure to click the button “Update Shared View” afterwards.

14

Interpreting Data Visualizations

• Choose 3-5 of the data visualizations you created in the previous activity with Story Builder�
• For each data visualization,
• identify what kind of graph it is, and
• write an interpretation of a feature of the graph, or the graph as a whole, that helps you answer one of your questions

15

Peer Review

• Trade your list of questions with a classmate. �
• Consider their dataset and the questions they want to answer. Offer feedback along the following lines:
• Do you think these questions are answerable using these data visualizations? Why or why not?
• Do your classmate’s interpretations align with what you see on the data visualization? Why or why not?
• Suggest another possible data visualization your classmate could create to help answer one of their questions.

16

Revising Interpretations

• Revise your data visualizations and interpretations based on your classmate’s suggestions. �
• Some graphs might stay the same; others might change.�
• You also might remove or add graphs based on their suggestions!

17

Reminder: Final Presentation Structure

• For the final presentation, make a set of slides that includes:�
• Dataset used
• Question posed
• Techniques used in program
• 3-5 graphs you created
• Description of what each graph is showing�Presentations should be about 3 minutes in length.

18

Exit Ticket

• Submit the question you are working to answer.�
• Submit the share link to your CODAP page.�
• Describe any variable transformations or other analysis you conducted in CODAP.�
• Submit a screenshot of 3 of the graphs you created, and explain what each shows. How do these help you answer your question?

19

Thanks!

apicancode@umd.edu

20

This work was made possible through generous support from the National Science Foundation (Award # 2141655).