Package for tracking weekly Hass Avocado sales for contiguous US
The {avocado} package provides a summary of weekly Hass avocado sales
for the contiguous United States. The underlying data are from The Hass
Avocado Board (free registration
required). Hass Avocados are the most popular variety of avocados sold
in the United States and the Haas Avocado Board (HAB) provides crucial
data on them to growers and marketers.
The HAB makes this information available to anyone who may be interested
(free registration required). An important note to remember is that the
term ‘units’ typically refers to 1 avocado. It does not refer to
avocados in terms of weight, bags, etc. The HAB does not provide (at
least publicly) actual piece-count sales to retailers or consumers.
The {avocadoo} package consists of 3 primary
PLUs:
Organic avocados have the digit 9 prefixed to the non-organic PLUs:
Source: Love One
Today
HAB also tracks avocado sales in bags of varying sizes. Since 2021, HAB
does not break down units of avocados sold by bag size (e.g., small,
large, extra large). Bags can consist of multiple avocados and can
weights of bags can vary.
See this
vignette for
more information.
Install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("nikdata/avocado", ref = 'main')
The {avocado} package consists of three different datasets:
hass_usa
: weekly contiguous US avocado sales at the country levelhass_region
: weekly contiguous US avocado sales at the region levelhass_market
: weekly contiguous US avocado sales at theThe hass_market
dataset provides a weekly sales summary of Hass
Avocado sales in the contiguous US (subdivided by region and select
cites/sub-regions within each ‘parent’ region):
library(avocado)
dplyr::glimpse(hass_market)
#> Rows: 38,522
#> Columns: 13
#> $ region <chr> "Northeast", "Southeast", "Midsouth", "West"…
#> $ market <chr> "Albany", "Atlanta", "Baltimore/Washington",…
#> $ week_ending <date> 2017-01-02, 2017-01-02, 2017-01-02, 2017-01…
#> $ type <chr> "Conventional", "Conventional", "Conventiona…
#> $ avg_selling_price <dbl> 1.47, 0.93, 1.47, 0.92, 1.29, 1.43, 1.21, 1.…
#> $ total_bulk_and_bags_units <dbl> 129949, 547566, 631761, 104511, 458831, 1053…
#> $ plu4046_units <dbl> 4846, 224074, 54531, 27846, 4120, 1286, 4776…
#> $ plu4225_units <dbl> 117028, 118927, 408953, 9409, 371224, 58532,…
#> $ plu4770_units <dbl> 201, 338, 14388, 11342, 3934, 103, 15037, 11…
#> $ total_bagged_units <dbl> 7875, 204229, 153892, 55915, 79554, 45430, 5…
#> $ sml_bagged_units <dbl> 7867, 111600, 151346, 53094, 79340, 45156, 4…
#> $ lrg_bagged_units <dbl> 8, 92629, 2543, 2794, 214, 256, 13712, 1079,…
#> $ xlrg_bagged_units <dbl> 0, 0, 4, 28, 0, 19, 47, 5090, 2, 0, 917, 98,…
Some potential use cases include: