All possible values of a parameter for a given query. Helps to
understand the columns of data.frame from nass_data
.
nass_param(param = NULL, 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 = NULL)
param | A valid parameter value. Available names are: source_desc, sector_desc, group_desc, commodity_desc, short_desc, domain_desc, domaincat_desc, agg_level_desc, statisticcat_desc, state_name, asd_desc, county_name, region_desc, zip_5, watershed_desc, year, freq_desc, and reference_period_desc. |
---|---|
source_desc | "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_desc | "Sector" - Five high level, broad categories useful to narrow down choices. ("ANIMALS & PRODUCTS", "CROPS", "DEMOGRAPHICS", "ECONOMICS", or "ENVIRONMENTAL") |
group_desc | "Group" - Subsets within sector (e.g., under sector_desc = "CROPS", the groups are "FIELD CROPS", "FRUIT & TREE NUTS", "HORTICULTURE", and "VEGETABLES"). |
commodity_desc | "Commodity" - The primary subject of interest (e.g., "CORN", "CATTLE", "LABOR", "TRACTORS", "OPERATORS"). |
short_desc | "Data Item" - A concatenation of six columns: commodity_desc, class_desc, prodn_practice_desc, util_practice_desc, statisticcat_desc, and unit_desc. |
domain_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. |
domaincat_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). |
agg_level_desc | "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") |
statisticcat_desc | "Category" - The aspect of a commodity being measured (e.g., "AREA HARVESTED", "PRICE RECEIVED", "INVENTORY", "SALES"). |
state_name | "State" - State full name. |
asd_desc | "Ag District" - Ag statistics district name. |
county_name | "County" - County name. |
region_desc | "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_5 | "Zip Code" - US Postal Service 5-digit zip code. |
watershed_desc | "Watershed" - Name assigned to the HUC. |
year | "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. |
freq_desc | "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. |
reference_period_desc | "Period" - The specific time frame, within a freq_desc. |
key | API key, default is to use the value stored in |
Character vector of all possible parameter values.
# NOT RUN { # Return the program sources for data nass_param("source_desc") # }# NOT RUN { # Return the group categories available in the CROPS sector nass_param("group_desc", sector_desc = "CROPS") # }