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Data
Contextualized information
Data Science
Using data to solve problems
OSEMN “Awesome”
Obtain, Scrub, Explore, Model, iNterpret
Structured Data
Data which has some underlying organization (should be influential to the data)
Data Ethics
Moral principles
Numerical
Data that makes sense to have math applied
Categorical
Data that does not make sense to have math applied
Discrete
A type of numerical data WITH gaps
Continuous
A type of numerical data WITHOUT gaps
Nominal
A type of categorical data WITHOUT ordering (favorite color, names)
Ordinal
A type of categorical data WITH ordering (letter grades)
CSV
Comma separated values; a file format for storing tabular data
Descriptive questions
Regarding the description of past events
Predictive questions
Regarding the description of future or new events
Causal questions
Descriptions regarding potential future given and intervention
Correlation
When 2 variables are related with one another
Counterfactual
What is true under different circumstances
Observational studies
Studies that use data which was not designed for the study
Confounding factors
An unaccounted variable that affects both the treatment and control group
Randomized control trials
A type of experiment used to establish causality
Python modules
Organized collections of functions
Data type integer
A representation of integer data
Data type float
A representation of decimal data
Data type bool
A representation of true/false data
Data type string “str'“
A representation of text data
List
An ordered sequence of variables of any type of data
Dictionary
A way to represent multiple key-value pairs
Numpy array
Like a list but specifically for numbers and computation
Panda Series
A way to represent a 1D sequence of values used in pandas module
Pandas data frame
A way to represent a table of data used in pandas module
Functions
A block of code which does something
Variable scope
The portion of your data code which the variable name is valid
p th percentile
Smallest value that has at least p% of the data below it
Median
50th percentile; the middle value
Box plot
Uses percentiles to plot 1 numerical variable
Bar plot (for 1 variable)
Uses bars to plot categorical variables
Bar plot (for 2 variables)
Uses bars to plot categorical vs numerical
Histogram
Bins numerical data then makes a bar plot
Scatter plot
Uses points/dots to plot 2 numerical variables
Line plot
Plots 2 numerical variables with connected neighboring point