Vocabulary byte - The technical term for 8 bits of data.

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Vocabulary byte - The technical term for 8 bits of data. The standard fundamental unit (or “chunk size”) underlying most computing systems today measured in “megabytes”, “kilobytes”, “gigabytes”, etc. Image - A type of data used for graphics or pictures. metadata - is data that describes other data. For example, a digital image my include metadata that describe the size of the image, number of colors, or resolution. pixel - short for "picture element" it is the fundamental unit of a digital image, typically a tiny square or dot which contains a single point of color of a larger image. RGB - the RGB color model uses varying intensities of (R)ed, (G)reen, and (B)lue light are added together in to reproduce a broad array of colors. Lossless Compression - a data compression algorithm that allows the original data to be perfectly reconstructed from the compressed data. Lossy Compression - (or irreversible compression) a data compression method that uses inexact approximations, discarding some data to represent the content. Most commonly seen in image formats like .jpg. Abstraction - Pulling out specific differences to make one solution work for multiple problems.

U2L7 Introduction to Data CS Principles U2L7 Introduction to Data

U2L7 Introduction to Data Objectives SWBAT: Develop a hypothesis about student behavior over time, based on a small sample of data. Describe sources of data appropriate for performing computations.

Data You will be collecting and analyzing your own data in a couple weeks. Begin thinking about the many ways data impacts your lives and how it can be used. While the primary goal of this lesson is to get ideas and processes in place for the rest of the unit, there are many places where you can start asking interesting questions about where and how data is collected, who is collecting it, and how they are using it

Transition to Data The last project you did (Encoding an Experience) was about organizing and structuring digital data to represent complex information. You did it by thinking about bits. In reality we typically don’t have to break digital data down all the way to bits in order to work with it, but understanding that digital data at its root is just bits gives you insights into working with larger data sets. We are about to embark on a new series of lessons where you will work with real data sets and learn how to use to tools to explore and extract information and knowledge from the data. One way we think about it is learning how tell stories with data. We start today!

Right v Left Brain Follow this link and take this test : http://braintest.sommer-sommer.com/en/

U2L7 Prompt: Prompt: “People say there is data all around us. What do you think that means? Brainstorm as many examples of data as you can think of.” For each one, try to answer: Who is generating the data? Where is the data being stored or saved? Who owns it?

Possible Prompt Responses: cell phone data plans science experiments GPS tracking online shopping data taxes or accounting info sports data

Data Survey Go to BPI.edu, follow the link and fill out the survey. As our first adventure into data, each of you is going to complete a short survey. Surveys are one of the best ways to collect data from people, and they are functionally no different from an online poll, funny quiz, or anything else that asks you for your opinion. We’re going to use our own survey, so that we can collect and see all the data.

Responses Look at the results from the survey and discuss what you notice. What do you notice? What was surprising? What do the results tell you about you and your answers? What other information would you like? What kind of questions would we need to ask to find out more information?

Data Collection You are going to complete this survey every day in class for the next several weeks. By the end, we should have several hundred entries. You’ve seen the questions and have taken a quick glimpse at the results. What do you think we might be able to find out in a few weeks? Prompt: “Write down one or two hypotheses (predictions) about what we might be able to find out about our class, assuming that everyone fills out this survey every day for a few weeks.”