Data Science notes

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16 Terms

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Numpy

A library used for arithmetic operations that assumes a grid structure, can contain either all numbers or words.

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Numplot

A tool used to create charts similar to those in spreadsheet applications.

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Pandas

A library for panel data; it provides data structures resembling sheets and allows for various data types unlike numpy.

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Series

A one-dimensional array or column of data in pandas.

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Row

Represents one individual in a dataset or test.

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Conditionals

Also referred to as masks, used in data filtering operations.

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Five C’s of data ethics

Framework for responsible data collection: Consent, Clarity, Consistency/Trust, Control/Transparency, and Consequences.

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Consent

An agreement between a service user and the data provider, often binary and sometimes sold without consent.

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Clarity

The necessity of providing clear information about data usage to users.

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Consistency/Trust

The requirement for companies to maintain a reliable adherence to their data use policies.

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Control/Transparency

The ability of users to track the use of their data and understand their control over it.

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Consequences

Laws and regulations designed to protect individuals' rights regarding their online data.

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Big Data

Refers to the massive volume of data generated daily, estimated at 2.5 quintillion bytes.

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Signal and noise

The concept that data requires interpretation; it's not self-explanatory and needs context from humans.

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Data-driven prediction

The use of data to make informed predictions about future outcomes.

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Scatterplot

A type of chart that displays values for typically two variables for a set of data.