Checks the number of observations that will be returned in a data request. All queries to the Quick Stats are limited to 50,000 observations. This is a helpful function in determining how to structure a data request to fit within the 50,000 limit.

nass_count(source_desc = NULL, sector_desc = NULL, group_desc = NULL,
  commodity_desc = NULL, short_desc = NULL, domain_desc = NULL,
  domaincat_desc = NULL, agg_level_desc = NULL,
  statisticcat_desc = NULL, state_name = NULL, asd_desc = NULL,
  county_name = NULL, region_desc = NULL, zip_5 = NULL,
  watershed_desc = NULL, year = NULL, freq_desc = NULL,
  reference_period_desc = NULL, key = check_key(), ...)



"Program" - Source of data ("CENSUS" or "SURVEY"). Census program includes the Census of Ag as well as follow up projects. Survey program includes national, state, and county surveys.


"Sector" - Five high level, broad categories useful to narrow down choices. ("ANIMALS & PRODUCTS", "CROPS", "DEMOGRAPHICS", "ECONOMICS", or "ENVIRONMENTAL")


"Group" - Subsets within sector (e.g., under sector_desc = "CROPS", the groups are "FIELD CROPS", "FRUIT & TREE NUTS", "HORTICULTURE", and "VEGETABLES").


"Commodity" - The primary subject of interest (e.g., "CORN", "CATTLE", "LABOR", "TRACTORS", "OPERATORS").


"Data Item" - A concatenation of six columns: commodity_desc, class_desc, prodn_practice_desc, util_practice_desc, statisticcat_desc, and unit_desc.


"Domain" - Generally another characteristic of operations that produce a particular commodity (e.g., "ECONOMIC CLASS", "AREA OPERATED", "NAICS CLASSIFICATION", "SALES"). For chemical usage data, the domain describes the type of chemical applied to the commodity. The domain_desc = "TOTAL" will have no further breakouts; i.e., the data value pertains completely to the short_desc.


"Domain Category" - Categories or partitions within a domain (e.g., under domain_desc = "SALES", domain categories include $1,000 TO $9,999, $10,000 TO $19,999, etc).


"Geographic Level" - Aggregation level or geographic granularity of the data. ("AGRICULTURAL DISTRICT", "COUNTY", "INTERNATIONAL", "NATIONAL", "REGION : MULTI-STATE", "REGION : SUB-STATE", "STATE", "WATERSHED", or "ZIP CODE")


"Category" - The aspect of a commodity being measured (e.g., "AREA HARVESTED", "PRICE RECEIVED", "INVENTORY", "SALES").


"State" - State full name.


"Ag District" - Ag statistics district name.


"County" - County name.


"Region" - NASS defined geographic entities not readily defined by other standard geographic levels. A region can be a less than a state (SUB-STATE) or a group of states (MULTI-STATE), and may be specific to a commodity.


"Zip Code" - US Postal Service 5-digit zip code.


"Watershed" - Name assigned to the HUC.


"Year" - The numeric year of the data and can be either a character or numeric vector. Conditional values are also possible, for example a character vector of ">=1999" of "1999<=" will give years greater than or equal to 1999. Right now the logical values can either be greater/less than or equal to with the logical at either the beginning or end of a string with the year.


"Period Type" - Length of time covered ("ANNUAL", "SEASON", "MONTHLY", "WEEKLY", "POINT IN TIME"). "MONTHLY" often covers more than one month. "POINT IN TIME" is as of a particular day.


"Period" - The specific time frame, within a freq_desc.


API key, default is to use the value stored in .Renviron which is stored from the nass_set_key function. If there is no API key stored in the environment, a character string can be provided.


Not used.


Number of observations.


# NOT RUN { # Determine all the observations in NASS nass_count() # }
# NOT RUN { # Find the number of observations for Wake County in North Carolina nass_count(state_name = "NORTH CAROLINA", county_name = "WAKE") # }