Unit 4

Students will learn the fundamentals of Data Representation through analysis of data and the creation of compelling Data Visualizations

skill builders

Below are Skill Builders, short practice activities that students can complete individually or with a partner. The Skill Builders are connected to each assignment and reinforce essential Art and Computer Science concepts and ideas and should be included in student sketchbooks wherever possible.

Skills

• Data collection

• Data analysis

Using this information create a data map of yourself:

• Connects you, the app, the data segments, and what types of advertisements or information might be sent or connected to you

  • Use any appropriate drawing or graphic tools

• Exchange your data map with another person

  • What conclusions might you draw about that person based on their data connections?

  • Where do they live?

  • What are their interests?

  • Who are their friends? Family?

  • What do they purchase?

  • What services do they use

• Share your conclusions with each other

Skills

• Data analysis

• Data inference

datasets

Data Analysts often work with large data sets and must filter, transform, remove, or otherwise change data sets so they are more easily workable for the Analyst and others. This process is known as Data Wrangling.

Below is a data set about some of the public art in San Francisco:

• Make a copy of the spreadsheet

• Analyze the information

  • Choose a subset of the Data to focus on

• Choose a method to visualize the data

  • Example: map the locations of the artworks in a particular neighborhood, visualize images and descriptions of particular media, etc.

• Wrangle the Data

  • Add, remove, filter, transform or otherwise change the data to focus on the necessary parts

• Create a Data Visualization using any appropriate tools

  • Paper, markers, cutouts, Google Drawings, Google Maps, Google Slides, etc.

Skills

• Data wrangling

conducting research

Individually with a partner brainstorm so possible quantitative and qualitative research methods for the following research question:

What effect does daily use of TikTok have on the attention span of high school students?

Quantitative research is expressed in numbers and graphs. It is used to test or confirm theories and assumptions. This type of research can be used to establish generalizable facts about a topic.

Common quantitative methods include experiments, observations recorded as numbers, and surveys with closed-ended questions.

Qualitative research is expressed in words. It is used to understand concepts, thoughts or experiences. This type of research enables you to gather in-depth insights on topics that are not well understood.

Common qualitative methods include interviews with open-ended questions, observations described in words, and literature reviews that explore concepts and theories.

Generate at least 2 different quantitative research methods and 2 different qualitative research methods

Quantitative Example:

• A survey that asks about daily TikTok use vs. daily homework time

Qualitative Example:

• Interview a variety of students about how they feel TikTok impacts their academic performance

Skills

• Data collection

visualizing tabular data

Individually or with a partner create use Google Sheets built-in tools to visualize the data in the spreadsheet below.

• Make a copy of the spreadsheet below

• Examine the data in the spreadsheet

• Use built-in tools to organize the data

  • Example: sort data by column

• Focus on a smaller subset of meaningful data

  • Recall Data Wrangling exercise

  • Example: your neighborhood, your supervisor district, larger numbers, smaller numbers, etc.

• What is the purpose of the data? Your chosen data subset?

• What inferences can you make about the data and your chosen data subset?

  • An inference is a conclusion you can make based on evidence (the data) and reasoning (your own ability to think, understand, and form judgements through logic)

• Create an appropriate visualization of your chosen data subset using built-in tool

  • Example: bar chart, pie chart, map, etc.

Skills

• Data analysis

• Data wrangling

• Data visualization

interactive data visualization

Students will apply their knowledge and skills of Data, Research, Visualization, and Art to create a fully interactive Data Visualization based on their own original research