Unit 13 AP Computer Science Principles

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44 Terms

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Data

information collected about the physical world (numbers, words, measurements, observations, etc) that is in a computer-readable form

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human-readable information

Information like books, notebooks, physical photographs, voice

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numbers (binary ones)

What is computer readable information?

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song files, video files, image files, text files, spreadsheet measurements, and statistics

human-readable data into digital examples

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write programs to store, process, manipulate and visualize data

What can be done once data is structured in a uniform way?

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input data

any information, or data, that is sent to a computer for processing (spreadsheets, keyboard inputs, HTTP requests)

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takes in input data, analyze and manipulate it, and produce output data

what do programs do?

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output data

the data resulting from a computer run (sounds, images, HTTP response)

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creation of knowledge

what do data and information facilitate?

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extract info, identify trends, make predictions, make connections, recognize problems

what does digital data allow us to do?

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computing tools

what is essential when working with large data sets in order to extract useful info and gain knowledge?

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Computing tools

a computer program that provides ways to search, filter, store, and visualize data

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databases and data base language

find solution: storing and processing massive amount of data efficiently is challenging

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encrypt and anonymize data

find solution: keeping data private is challenging

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read privacy policy

find solution: not everyone knows how much of their personal data is being tracked

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digital universe

all data that has been created and stored

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33%

what amount of info could be useful if appropriately tagged and analyzed?

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worthless

what is data as raw and unorganized facts?

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information

potentially valuable concepts based on data

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knowledge

what we understand based upon information

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wisdom

the effective use of knowledge in decision making

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data visualization

using charts, graphs, or images to visualize complex data

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easier to understand and extract useful info, faster, useful in all fields

why visualize data?

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Charles Joseph Minard

Made famous visualizations of Napoleon's losses during the Russian campaign on 1812. One of the first to develop information graphics

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19th century

When was the pie chart invented?

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17th century

When were maps invented?

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process large amounts of data quickly, constantly update to stay accurate, add interactivity, blend science and art, rapidly changing

how has computing been beneficial in data visualizations?

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table

type of data visualization that is great for showing precise data

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pie chart

type of data visualization that is great for showing percentages of the whole

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line chart

type of data visualization that is great for showing trend over time

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bar chart

type of data visualization that is great for comparing different catagories

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Histogram

type of data visualization that is great for showing the frequency of events

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widespread access to knowledge

what do public data sets and data visualizations allow for?

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surveys, sensors, transactional data from credit cards, websites, crowdsourcing

ways data is collected

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Sensors

Input devices used to measure physical traits, such as sound, heat, or light.

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lock disk memory, databases, encrypted (if sensative)

how is data stored?

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database query languages and data APIs

what allows us to ask a database for the data we want in out programs?

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database query languages

computer languages used to make queries in databases and information systems (structured query language)

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data sanitization

Throwing out data that is not well formatted

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numbers

what is easier to process?: numbers or text

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Data Limitations

There are limitations to what we can conclude from examining data and data visualizations

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omitting data, not starting graph at zero, breaking conventions, correlation doesn't imply causation

misleading visualizations

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Omitting Data

leaving out data points to make a fake trend

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Metadata

data about data; describes how and when and by whom a particular set of data was collected, and how data is formatted