Title: Theory / Important / CS / Data Science / from Scratch
Tags: récupéré seen_description automatedNewLineAfterCommaSpace

Name: Open Source Gateway Initiative
Page: 31
Chapter: 1
Section: Other Decompositional Techniques
Abbreviation: OSGI

Name: Data science
Definition: Hacking skills
Page: xi
Chapter: Preface
Definition2: Math and statistics knowledge
Conjdef: All of
Definition3: Substantive expertise

Name: Data scientist
Definition: someone who knows more statistics than a computer scientist and more computer science than a statistician
Page: 1
Definition2: someone who extracts insights from messy data

Name: Degree centrality
Definition: Associating to each node its number of neighbors
Page: 5
Chapter: 1
Variables: \(G=(V,E)\) a graph
Typ: Network metric

Question: two primary uses for data visualization:
Answer: explore data
Chapter: 3
Answer2: communicate data

Name: matplotlib
Definition: A library for visualization of data
Page: 37
Chapter: 3

Instruction: plot(
  foo,
  bar
)
Page: 38
Effect: Create a plot object, with absice the elements of foo and ordinate the elements of bar
Context: matplotlib.pyplot
Chapter: 3
Assuming: foo and bar two lists of the same size

Instruction: title("foo")
Page: 38
Effect: Give title "foo" to the graph of pyplot
Context: matplotlib.pyplot
Chapter: 3

Instruction: ylabel("foo")
Page: 38
Effect: Give ordinate label "foo" to the graph of pyplot
Context: matplotlib.pyplot
Chapter: 3

Instruction: show()
Page: 38
Effect: draw the plot
Context: matplotlib.pyplot
Chapter: 3

Smaller0: bar chart
Greater0: discrete set
Page: 39
Chapter: 3
Prefix Greater: is better to present
Prefix Smaller: the representation
Context: matplotlib.pyplot