| data_score {globaltrends} | R Documentation |
data_score
Description
The table data_score contains the search scores for each object batch.
Each line contains the observed search score (score_obs), the
seasonally adjusted search score (score_sad), and the trend only
search score (score_trd) for each keyword in an object
batch_o for a given location and date. The column
batch_c indicates the control batch that has been used as baseline
for mapping. Global data takes the value world as location. Search
scores are computed and automatically written to the table with the function
compute_score. The function start_db exports the table
data_score as database connection tbl_score to
the package environment gt.env. Users can access the database
table through dplyr::tbl.
The sample data included in data_score was simulated based on actual
Google Trends data.
Example data for the table data_score is available as R object
example_score.
Usage
example_score
Format
A tibble with 6,000 rows and 8 variables:
- location
Column of type
charactershowing the ISO2 code of the country or region for which the data was computed.- keyword
Column of type
charactershowing the keyword for which the data was downloaded.- date
Column of type
integershowing the date for which the data was computed Can be transformed into date format withlubridate::as_date.- score_obs
Column of type
doubleshowing search score for the respective location-keyword-date combination - no time series adjustment.- score_sad
Column of type
doubleshowing the search score for the respective location-keyword-date combination - seasonally adjusted time series.- score_trd
Column of type
doubleshowing the search score for the respective location-keyword-date combination - trend-only time series.- batch_c
Column of type
integershowing the number of each control batch.- batch_o
Column of type
integershowing the number of each object batch.- synonym
Column of type
integershowing whether the line will be aggregated as synonym.