nass_count: Get number of observations from Quick Stats query

Description Usage Arguments Value Examples

View source: R/nass_count.R

Description

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.

Usage

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nass_count(
  source_desc = NULL,
  sector_desc = NULL,
  group_desc = NULL,
  commodity_desc = NULL,
  class_desc = NULL,
  prodn_practice_desc = NULL,
  util_practice_desc = NULL,
  statisticcat_desc = NULL,
  unit_desc = NULL,
  short_desc = NULL,
  domain_desc = NULL,
  domaincat_desc = NULL,
  agg_level_desc = NULL,
  state_ansi = NULL,
  state_fips_code = NULL,
  state_alpha = NULL,
  state_name = NULL,
  asd_code = NULL,
  asd_desc = NULL,
  county_ansi = NULL,
  county_code = NULL,
  county_name = NULL,
  region_desc = NULL,
  zip_5 = NULL,
  watershed_code = NULL,
  watershed_desc = NULL,
  congr_district_code = NULL,
  country_code = NULL,
  country_name = NULL,
  location_desc = NULL,
  year = NULL,
  freq_desc = NULL,
  begin_code = NULL,
  end_code = NULL,
  reference_period_desc = NULL,
  week_ending = NULL,
  key = check_key(),
  ...
)

Arguments

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").

class_desc

Generally a physical attribute (e.g., variety, size, color, gender) of the commodity.

prodn_practice_desc

A method of production or action taken on the commodity (e.g., IRRIGATED, ORGANIC, ON FEED).

util_practice_desc

Utilizations (e.g., GRAIN, FROZEN, SLAUGHTER) or marketing channels (e.g., FRESH MARKET, PROCESSING, RETAIL).

statisticcat_desc

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

unit_desc

The unit associated with the statistic category (e.g., ACRES, $ / LB, HEAD, $, OPERATIONS).

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")

state_ansi

American National Standards Institute (ANSI) standard 2-digit state codes.

state_fips_code

NASS 2-digit state codes; include 99 and 98 for US TOTAL and OTHER STATES, respectively; otherwise match ANSI codes.

state_alpha

State abbreviation, 2-character alpha code.

state_name

"State" - State full name.

asd_code

NASS defined county groups, unique within a state, 2-digit ag statistics district code.

asd_desc

"Ag District" - Ag statistics district name.

county_ansi

ANSI standard 3-digit county codes.

county_code

NASS 3-digit county codes; includes 998 for OTHER (COMBINED) COUNTIES and Alaska county codes; otherwise match ANSI codes.

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_code

US Geological Survey (USGS) 8-digit Hydrologic Unit Code (HUC) for watersheds.

watershed_desc

"Watershed" - Name assigned to the HUC.

congr_district_code

US Congressional District 2-digit code.

country_code

US Census Bureau, Foreign Trade Division 4-digit country code, as of April, 2007.

country_name

Country name.

location_desc

Full description for the location dimension.

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.

begin_code

If applicable, a 2-digit code corresponding to the beginning of the reference period (e.g., for freq_desc = MONTHLY, begin_code ranges from 01 (January) to 12 (December)).

end_code

If applicable, a 2-digit code corresponding to the end of the reference period (e.g., the reference period of JAN THRU MAR will have begin_code = 01 and end_code = 03).

reference_period_desc

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

week_ending

Week ending date, used when freq_desc = WEEKLY.

key

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.

\dots

Not used.

Value

Number of observations.

Examples

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## Not run: 
# Determine all the observations in NASS
nass_count()

## End(Not run)

## Not run: 
# Find the number of observations for Wake County in North Carolina
nass_count(state_name = "NORTH CAROLINA", county_name = "WAKE")

## End(Not run)

rdinter/usdarnass documentation built on Feb. 10, 2020, 7:28 p.m.