Help for package onadata

Title:

Data Sets for Keith McNulty's Handbook of Graphs and Networks in People Analytics

Version:

0.1

Description:

Data sets for network analysis related to People Analytics. Contains various data sets from the book 'Handbook of Graphs and Networks in People Analytics' by Keith McNulty (2021).

License:

MIT + file LICENSE

Encoding:

UTF-8

LazyData:

true

URL:

https://ona-book.org

RoxygenNote:

7.1.1

Depends:

R (≥ 2.10)

NeedsCompilation:

Packaged:

2022-01-22 12:59:00 UTC; rstudio

Author:

Keith McNulty

[aut, cre]

Maintainer:

Keith McNulty <keith.mcnulty@gmail.com>

Repository:

CRAN

Date/Publication:

2022-01-24 20:22:42 UTC

Caviar end data

Description

Network edgelist data as at the end of the Operation Caviar investigation into drug trafficking in Canada

Usage

caviar_end

Format

A dataframe with 72 rows and 3 variables:

from: An individual under surveillance
to: An individual under surveillance
weight: The number of intercepted communications between the individuals

Source

Carlo Morselli

Examples

caviar_end

Caviar middle data

Description

Network edgelist data as at the middle of the Operation Caviar investigation into drug trafficking in Canada

Usage

caviar_middle

Format

A dataframe with 50 rows and 3 variables:

from: An individual under surveillance
to: An individual under surveillance
weight: The number of intercepted communications between the individuals

Source

Carlo Morselli

Examples

caviar_middle

Caviar start data

Description

Network edgelist data as at the start of the Operation Caviar investigation into drug trafficking in Canada

Usage

caviar_start

Format

A dataframe with 26 rows and 3 variables:

from: An individual under surveillance
to: An individual under surveillance
weight: The number of intercepted communications between the individuals

Source

Carlo Morselli

Examples

caviar_start

Chinook customer data

Description

Extract of data on customers of a music sales company

Usage

chinook_customers

Format

A dataframe with 59 rows and 4 variables:

CustomerId: Customer ID number
FirstName: Customer First Name
LastName: Customer Last Name
SupportRepId: ID of Sales Rep assigned to customer

Source

Chinook Database on Github

Examples

chinook_customers

Chinook employee data

Description

Extract of data on employees of a music sales company

Usage

chinook_employees

Format

A dataframe with 8 rows and 4 variables:

EmployeeId: Employee ID number
FirstName: Employee First Name
LastName: Employee Last Name
ReportsTo: ID of Employee who they report to

Source

Chinook Database on Github

Examples

chinook_employees

Chinook invoice data

Description

Extract of data on customer invoices from a music sales company

Usage

chinook_invoices

Format

A dataframe with 412 rows and 2 variables:

InvoiceId: Invoice ID number
CustomerId: CustomerID number

Source

Chinook Database on Github

Examples

chinook_invoices

Chinook item sales data

Description

Extract of data on items sold by a music sales company

Usage

chinook_items

Format

A dataframe with 2240 rows and 2 variables:

InvoiceId: ID number of invoice containing the item
TrackId: ID number of the item

Source

Chinook Database on Github

Examples

chinook_items

Bottlenose dolphin social network

Description

Edgelist of network of frequent interaction between bottlenose dolphins in Doubtful Sound, New Zealand

Usage

dolphins

Format

A dataframe with 159 rows and 2 variables:

from: Dolphin ID
to: Dolphin ID

Source

Lusseau et al, 2003

Examples

dolphins

Email edgelist

Description

Edgelist of network of email communications at a large European research institution

Usage

email_edgelist

Format

A dataframe with 24929 rows and 2 variables:

from: ID of sender
to: ID of receiver

Source

Leskovec et al, 2007

Examples

email_edgelist

Email vertices

Description

Vertex data of network of email communications at a large European research institution

Usage

email_vertices

Format

A dataframe with 1005 rows and 2 variables:

id: Vertex ID of individual
dept: Department of individual

Source

Leskovec et al, 2007

Examples

email_vertices

EU referendum data

Description

Data on voting in the UK EU membership referendum in 2016

Usage

eu_referendum

Format

A dataframe with 382 rows and 4 variables:

Region: UK Region
Area_Code: UK Area Code
Remain: Number of votes to remain in the EU
Leave: Number of votes to leave the EU

Source

UK Electoral Commission

Examples

eu_referendum

Friends TV edgelist

Description

Edgelist of network of characters of US TV Show Friends based on appearing in the same scene

Usage

friends_tv_edgelist

Format

A dataframe with 2976 rows and 3 variables:

from: Friends character
to: Friends character
weight: Number of scenes with both characters

Source

Keith McNulty

Examples

friends_tv_edgelist

G14 edgelist

Description

Edgelist of small network of 14 vertices

Usage

g14_edgelist

Format

A dataframe with 18 rows and 3 variables:

from: Vertex ID
to: Vertex ID
weight: Edge weight

Examples

g14_edgelist

Zachary's Karate Club edgelist

Description

Edgelist of network of social interactions between members of a karate club

Usage

karate

Format

A dataframe with 78 rows and 2 variables:

from: Member ID
to: Member ID

Source

Zachary, 1977

Examples

karate

Bridges of Koenigsberg edgelist

Description

Edgelist of network of places connected by bridges in the city of Koenigsberg

Usage

koenigsberg

Format

A dataframe with 7 rows and 2 variables:

from: Place name
to: Place name

Source

Euler, 1736

Examples

koenigsberg

Les Miserables character network

Description

Edgelist of network of characters in Victor Hugo's Les Miserables based on appearance in the same chapter

Usage

lesmis

Format

A dataframe with 254 rows and 3 variables:

from: Character name
to: Character name
weight: Number of chapters both characters appear in

Source

Knuth, 1993

Examples

lesmis

London Tube network edgelist

Description

Edgelist of network of London Tube/Underground stations

Usage

londontube_edgelist

Format

A dataframe with 406 rows and 4 variables:

from: Station ID
to: Station ID
line: Name of line connecting stations
linecolor: Official color of line connecting stations

Examples

londontube_edgelist

London Tube network vertices

Description

Vertices of network of London Tube/Underground stations

Usage

londontube_vertices

Format

A dataframe with 302 rows and 4 variables:

id: Station ID
name: Station name
latitude: Station latitude
longitude: Station longitude

Examples

londontube_vertices

Mad Men network edgelist

Description

Edgelist of network of romantic relationships between characters of the TV show Mad Men

Usage

madmen_edges

Format

A dataframe with 39 rows and 3 variables:

Name1: Character name
Name2: Character name
Married: Whether the relationship was part of a marriage

Examples

madmen_edges

Mad Men network vertices

Description

Vertices of network of romantic relationships between characters of the TV show Mad Men

Usage

madmen_vertices

Format

A dataframe with 45 rows and 3 variables:

label: Character name
Gender: Character gender
Main: Whether the character is a main character

Examples

madmen_vertices

Network Science collaboration network

Description

Edgelist of network of academic collaboration between network scientists

Usage

netscience

Format

A dataframe with 2742 rows and 3 variables:

from: Scientist name
to: Scientist name
weight: Measure of strength of collaboration

Source

Newman, 2006

Examples

netscience

Ontario politician Twitter interaction network edglist

Description

Edgelist of Twitter interaction network of Ontario province politicians

Usage

ontariopol_edgelist

Format

A dataframe with 6095 rows and 3 variables:

from: Politician ID
to: Politician ID
weight: Number of Twitter interactions

Source

Christopher Belanger

Examples

ontariopol_edgelist

Ontario politician Twitter interaction network vertices

Description

Vertices of Twitter interaction network of Ontario province politicians

Usage

ontariopol_vertices

Format

A dataframe with 108 rows and 4 variables:

id: Politician ID
screen_name: Politician Twitter screen name
name: Politician name
party: Party affiliation

Source

Christopher Belanger

Examples

ontariopol_vertices

Yelp park reviews

Description

Data on Yelp reviews of dog parks in Phoenix, AZ

Usage

park_reviews

Format

A dataframe with 231 rows and 4 variables:

park_id: Park ID
user_id: User ID
park_name: Park name
stars: Number of stars awarded by user

Examples

park_reviews

Random Acts of Pizza

Description

Data on altruistic acts by Reddit users fulfiling random requests for pizza

Usage

pizza

Format

A dataframe with 400 rows and 5 variables:

requester: ID of the requester
responder: ID of the individual who responded by ordering pizza for the requester
request_id: ID of the request
requester_votes: Number of Reddit votes made by the requester
requester_subreddits: Number of subreddits which the requester is a member of

Source

Althoff et al, 2014

Examples

pizza

Teenage Friends and Lifestyle Study network edgelist

Description

Edgelist of friend network of teenage girls in Scotland

Usage

s50_edges

Format

A dataframe with 122 rows and 2 variables:

from: Person ID
to: Person ID

Source

Pearson & Michell, 2009

Examples

s50_edges

Teenage Friends and Lifestyle Study network vertices

Description

Vertices of friend network of teenage girls in Scotland

Usage

s50_vertices

Format

A dataframe with 50 rows and 5 variables:

id: Person ID
smoke: Frequency of smoking from 1 (Never) to 3 (Regularly)
alcohol: Frequency of drinking alcohol from 1 (Never) to 5 (More than once a week)
drugs: Frequency of cannabis use from 1 (Never) to 4 (Regularly)
sport: Frequency of sporting activity from 1 (Not regularly) to 2 (Regularly)

Source

Pearson & Michell, 2009

Examples

s50_vertices

Schoolfriends network edgelist

Description

Edgelist of network of schoolfriends in a French high school

Usage

schoolfriends_edgelist

Format

A dataframe with 2105 rows and 3 variables:

from: Person ID
to: Person ID
type: Whether the friendship is a known Facebook connection or if it was reported by from person

Source

Mastandrea et al, 2015

Examples

schoolfriends_edgelist

Schoolfriends network vertices

Description

Vertices of network of schoolfriends in a French high school

Usage

schoolfriends_vertices

Format

A dataframe with 329 rows and 3 variables:

id: Person ID
class: School class of person
gender: Gender of person

Source

Mastandrea et al, 2015

Examples

schoolfriends_vertices

Wikipedia administrator voting network

Description

Edgelist of network of votes for Wikipedia administrators

Usage

wikivote

Format

A dataframe with 103688 rows and 2 variables:

from: ID of voter
to: ID of vote recipient

Examples

wikivote

Workplace network edgelist

Description

Edgelist of network of interactions between people in a French office building based on location sensor technology

Usage

workfrance_edgelist

Format

A dataframe with 932 rows and 3 variables:

from: Person ID
to: Person ID
mins: Number of minutes spent co-located

Source

Génois et al, 2015

Examples

workfrance_edgelist

Workplace network vertices

Description

Vertices of network of interactions between people in a French office building based on location sensor technology

Usage

workfrance_vertices

Format

A dataframe with 211 rows and 2 variables:

id: Person ID
dept: Department of person

Source

Génois et al, 2015

Examples

workfrance_vertices