linea (version 0.1.1)

gt_f: apply_normalisation

Description

Normalise data based on pool mean

Usage

gt_f(
  data,
  kw,
  date_col = "date",
  date_type = "weekly starting",
  geo = "all",
  append = TRUE
)

Value

data.frame of the original data with the added google trend column

Arguments

data

data.frame containing data for analysis

kw

a string of the search keyword

date_col

a string specifying the date column name

date_type

The date column type as either of the following strings:'weekly starting','weekly ending','daily'

geo

a string specifying the country code of the search found in countrycode::codelist

append

a boolean specifying whether to return the original data.frame as well as the added column

Details

Normalise data by dividing all values in each pool by that pool's mean

Examples

data = read_xcsv("https://raw.githubusercontent.com/paladinic/data/main/ecomm_data.csv") %>% 
  gt_f(kw = 'covid') %>% 
  gt_f(kw = 'bitcoin')