Nothing
#' Document database connector
#'
#' Simplified document database access and manipulation,
#' providing a common API across supported 'NoSQL' databases
#' 'Elasticsearch', 'CouchDB', 'MongoDB' as well as
#' 'SQLite/JSON1', 'PostgreSQL' and 'DuckDB'.
#'
#' @name nodbi-package
#' @docType package
#' @author Ralf Herold \email{ralf.herold@@mailbox.org}
#' @author Scott Chamberlain \email{sckott@@protonmail.com}
#' @author Rich FitzJohn \email{rich.fitzjohn@@gmail.com}
#' @author Jeroen Ooms \email{jeroen.ooms@@stat.ucla.edu}
#' @keywords internal
"_PACKAGE"
#' Data set 'diamonds'
#'
#' @format A data frame with 53940 rows and 10 variables:
#'
#' - price price in US dollars (326-18,823 USD)
#' - carat weight of the diamond (0.2-5.01)
#' - cut quality of the cut (Fair, Good, Very Good, Premium, Ideal)
#' - color diamond colour, from J (worst) to D (best)
#' - clarity a measurement of how clear the diamond is (I1 (worst),
#' SI1, SI2, VS1, VS2, VVS1, VVS2, IF (best))
#' - x length in mm (0-10.74)
#' - y width in mm (0-58.9)
#' - z depth in mm (0-31.8)
#' - depth total depth percentage = z / mean(x, y) = 2 * z / (x + y)
#' (43-79)
#' - table width of top of diamond relative to widest point (43-95)
#'
#' @source from \pkg{ggplot2}
#' @name diamonds
#' @docType data
#' @keywords datasets
NULL
#' Data set 'contacts'
#'
#' @format A JSON string with ragged, nested contact details
#' @name contacts
#' @docType data
#' @keywords datasets
#' @export
contacts <- '
[
{
"_id": "5cd67853f841025e65ce0ce2",
"isActive": false,
"balance": "$3,808.45",
"age": 23,
"eyeColor": "green",
"name": "Lacy Chen",
"email": "lacychen@conjurica.com",
"about": "Sunt consequat ad dolore.\\nExercitation nisi reprehenderit.",
"registered": "2014-08-03T12:11:54 -02:00",
"tags": [
"nulla",
"nisi",
"adipisicing",
"do",
"ad",
"ullamco",
"irure"
],
"friends": [
{
"id": 0,
"name": "Wooten Goodwin"
},
{
"id": 1,
"name": "Brandie Woodward"
},
{
"id": 2,
"name": "Angelique Britt"
}
]
},
{
"_id": "5cd678531b423d5f04cfb0a1",
"isActive": false,
"balance": "$3,400.50",
"age": 20,
"eyeColor": "brown",
"name": "Rae Colon",
"email": "raecolon@conjurica.com",
"about": "Nisi excepteur duis duis aliquip qui id consequat consequat.",
"registered": "2018-12-19T06:23:35 -01:00",
"tags": [
"nostrud",
"eu",
"consectetur",
"adipisicing",
"labore",
"ut",
"voluptate"
],
"friends": [
{
"id": 0,
"name": "Yang Yates"
},
{
"id": 1,
"name": "Lacy Chen"
}
]
},
{
"_id": "5cd6785335b63cb19dfa8347",
"isActive": false,
"balance": "$2,579.09",
"age": 30,
"eyeColor": "brown",
"name": "Williamson French",
"email": "williamsonfrench@conjurica.com",
"about": "Nulla do sunt consectetur officia. Laboris pariatur incididunt.",
"registered": "2018-02-14T10:59:57 -01:00",
"tags": [
"exercitation",
"do",
"magna",
"ut",
"consectetur",
"ex",
"incididunt"
],
"friends": [
{
"id": 0,
"name": "Coleen Dunn"
},
{
"id": 1,
"name": "Doris Phillips"
},
{
"id": 2,
"name": "Concetta Turner"
}
]
},
{
"_id": "5cd6785325ce3a94dfc54096",
"isActive": true,
"balance": "$1,161.52",
"age": 22,
"eyeColor": "brown",
"name": "Pace Bell",
"email": "pacebell@conjurica.com",
"about": "Eiusmod sunt laborum ipsum do cupidatat qui id dolore do.",
"registered": "2018-08-17T12:23:42 -02:00",
"tags": [
"aliqua",
"consectetur",
"commodo",
"velit",
"cupidatat",
"duis",
"dolore"
],
"friends": [
{
"id": 0,
"name": "Baird Keller"
},
{
"id": 1,
"name": "Francesca Reese"
},
{
"id": 2,
"name": "Dona Bartlett"
}
]
},
{
"_id": "5cd678530df22d3625ed8375",
"isActive": true,
"balance": "$2,412.67",
"age": 20,
"eyeColor": "blue",
"name": "Krista Baxter",
"email": "kristabaxter@conjurica.com",
"about": "Sint quis nulla ea fugiat. Commodo nisi qui eu sit.",
"registered": "2017-07-19T05:03:47 -02:00",
"tags": [
"sit",
"cillum",
"commodo",
"labore",
"sint",
"in",
"exercitation"
],
"friends": [
{
"id": 0,
"name": "Pace Bell"
}
]
}
]
'
#' Data set 'mapdata'
#'
#' @format A JSON string with ragged, nested travel details
#' @name mapdata
#' @docType data
#' @keywords datasets
#' @export
mapdata <- '
[{"destination_addresses": [
"Miami, FL, USA",
"Austin, TX, USA",
"Napa County, CA, USA"
],
"origin_addresses": [
"Santa Barbara, CA, USA",
"New York, NY, USA"
],
"rows": [{
"elements": [{
"distance": {
"text": "227 mi",
"somevalue": 365468
},
"duration": {
"text": "3 hours 54 mins",
"somevalue": 14064
},
"status": "OK"
},
{
"distance": {
"text": "2,878 mi",
"somevalue": 4632197
},
"duration": {
"text": "1 day 18 hours",
"somevalue": 151772
},
"status": "OK"
},
{
"distance": {
"text": "1,286 mi",
"somevalue": 2069031
},
"duration": {
"text": "18 hours 43 mins",
"somevalue": 67405
},
"status": "OK"
},
{
"distance": {
"text": "2,871 mi",
"somevalue": 4620514
},
"duration": {
"text": "1 day 18 hours",
"somevalue": 152913
},
"status": "OK"
}
]
}],
"status": "OK"},
{"destination_addresses": [
"Washington, DC, USA",
"Philadelphia, PA, USA",
"Napa County, CA, USA"
],
"origin_addresses": [
"New York, NY, USA"
],
"rows": [{
"elements": [{
"distance": {
"text": "227 mi",
"somevalue": 365468
},
"duration": {
"text": "3 hours 54 mins",
"somevalue": 14064
},
"status": "OK"
},
{
"distance": {
"text": "2,878 mi",
"somevalue": 4632197
},
"duration": {
"text": "1 day 18 hours",
"somevalue": 151772
},
"status": "OK"
},
{
"distance": {
"text": "1,286 mi",
"somevalue": 2069031
},
"duration": {
"text": "18 hours 43 mins",
"somevalue": 67405
},
"status": "OK"
},
{
"distance": {
"text": "1,742 mi",
"somevalue": 2802972
},
"duration": {
"text": "1 day 2 hours",
"somevalue": 93070
},
"status": "OK"
},
{
"distance": {
"text": "2,871 mi",
"somevalue": 4620514
},
"duration": {
"text": "1 day 18 hours",
"somevalue": 152913
},
"status": "OK"
}
]
}],
"status": "OK"}
]
'
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