NASS collects and manages diverse types of agricultural data at the national, state, and county levels. rnassqs package and the QuickStats database, youll be able Receive Email Notifications for New Publications. Once the The USDA-NASS Quick Stats API has a graphic interface here: https://quickstats.nass.usda.gov. nc_sweetpotato_data_survey <- filter(nc_sweetpotato_data_sel, source_desc == "SURVEY" & county_name != "OTHER (COMBINED) COUNTIES") "rnassqs: An 'R' package to access agricultural data via the USDA National Agricultural Statistics Service (USDA-NASS) 'Quick Stats' API." The Journal of Open Source Software. list with c(). Skip to 3. Section 207(f)(2) of the E-Government Act of 2002 requires federal agencies to develop an inventory of information to be published on their Web sites, establish a schedule for publishing information, make those schedules available for public comment, and post the schedules and priorities on the Web site. write_csv(data = nc_sweetpotato_data, path = "Users/your/Desktop/nc_sweetpotato_data_query_on_20201001.csv"). In this example shown below, I used Quick Stats to build a query to retrieve the number of acres of corn harvested in the US from 2000 through 2021. After running these lines of code, you will get a raw data output that has over 1500 rows and close to 40 columns. Now that youve cleaned the data, you can display them in a plot. Statistics Service, Washington, D.C. URL: https://quickstats.nass.usda.gov [accessed Feb 2023] . First, you will define each of the specifics of your query as nc_sweetpotato_params. Cooperative Extension prohibits discrimination and harassment regardless of age, color, disability, family and marital status, gender identity, national origin, political beliefs, race, religion, sex (including pregnancy), sexual orientation and veteran status. To improve data accessibility and sharing, the NASS developed a Quick Stats website where you can select and download data from two of the agencys surveys. you downloaded. The USDA NASS Quick Stats API provides direct access to the statistical information in the Quick Stats database. For example, if youd like data from both The program will use the API to retrieve the number of acres used for each commodity (a crop, such as corn or soybeans), on a national level, from 1997 through 2021. Here, code refers to the individual characters (that is, ASCII characters) of the coding language. Some parameters, like key, are required if the function is to run properly without errors. Programmatic access refers to the processes of using computer code to select and download data. Need Help? Click the arrow to access Quick Stats. Accessed 2023-03-04. The chef is in the kitchen window in the upper left, the waitstaff in the center with the order, and the customer places the order. The core functionality allows the user to query agricultural data from 'Quick Stats' in a reproducible and automated way. rnassqs (R NASS Quick Stats) rnassqs allows users to access the USDA's National Agricultural Statistics Service (NASS) Quick Stats data through their API. Based on your experience in algebra class, you may remember that if you replace x with NASS_API_KEY and 1 with a string of letters and numbers that defines your unique NASS Quick Stats API key, this is another way to think about the first line of code. In this example, the sum function is doing a task that you can easily code by using the + sign, but it might not always be easy for you to code up the calculations and analyses done by a function. Otherwise the NASS Quick Stats API will not know what you are asking for. Its easiest if you separate this search into two steps. session. Then, when you click [Run], it will start running the program with this file first. The United States is blessed with fertile soil and a huge agricultural industry. You can add a file to your project directory and ignore it via Running the script is similar to your pulling out the recipe and working through the steps when you want to make this dessert. Additionally, the CoA includes data on land use, land ownership, agricultural production practices, income, and expenses at the farm and ranch level. If you have already installed the R package, you can skip to the next step (Section 7.2). the project, but you have to repeat this process for every new project, The use of a callback function parameter, not shown in the example above, is beyond the scope of this article. To use a restaurant analogy, you can think of the NASS Quick Stats API as the waitstaff at your favorite restaurant, the NASS data servers as the kitchen, the software on your computer as the waitstaffs order notepad, and the coder as the customer (you) as shown in Figure 1. This is often the fastest method and provides quick feedback on the For example, in the list of API parameters shown above, the parameter source_desc equates to Program in the Quick Stats query tool. Once you have a into a data.frame, list, or raw text. it. Read our Each language has its own unique way of representing meaning, using these characters and its own grammatical rules for combining these characters. RStudio is another open-source software that makes it easier to code in R. The latest version of RStudio is available at the RStudio website. ggplot(data = nc_sweetpotato_data) + geom_line(aes(x = year, y = harvested_sweetpotatoes_acres)) + facet_wrap(~ county_name) may want to collect the many different categories of acres for every What R Tools Are Available for Getting NASS Data? Also note that I wrote this program on a Windows PC, which uses back slashes (\) in file names and folder names. If you think back to algebra class, you might remember writing x = 1. For Open source means that the R source code the computer code that makes R work can be viewed and edited by the public. Filter lists are refreshed based upon user choice allowing the user to fine-tune the search. Multiple values can be queried at once by including them in a simple .gov website belongs to an official government nassqs does handles DRY. the end takes the form of a list of parameters that looks like. For example, if someone asked you to add A and B, you would be confused. # select the columns of interest manually click through the QuickStats tool for each data On the other hand, if that person asked you to add 1 and 2, you would know exactly what to do. It allows you to customize your query by commodity, location, or time period. Looking for U.S. government information and services? Where available, links to the electronic reports is provided. An official website of the United States government. The rnassqs R package provides a simple interface for accessing the United States Department of Agriculture National Agricultural Statistics Service (USDA-NASS) 'Quick Stats' API. and predecessor agencies, U.S. Department of Agriculture (USDA). lock ( AG-903. The API response is the food made by the kitchen based on the written order from the customer to the waitstaff. It accepts a combination of what, where, and when parameters to search for and retrieve the data of interest. they became available in 2008, you can iterate by doing the The ARMS is collected each year and includes data on agricultural production practices, agricultural resource use, and the economic well-being of farmers and ranchers (ARMS 2020). Going back to the restaurant analogy, the API key is akin to your table number at the restaurant. However, if you only knew English and tried to read the recipe in Spanish or Japanese, your favorite treat might not turn out very well. After you run this code, the output is not something you can see. For docs and code examples, visit the package web page here . You can use many software programs to programmatically access the NASS survey data. like: The ability of rnassqs to iterate over lists of Based on this result, it looks like there are 47 states with sweetpotato data available at the county level, and North Carolina is one of them. The Cropland Data Layer (CDL) is a product of the USDA National Agricultural Statistics Service (NASS) with the mission "to provide timely, accurate and useful statistics in service to U.S. agriculture" (Johnson and Mueller, 2010, p. 1204). Find more information at the following NC State Extension websites: Publication date: May 27, 2021 ~ Providing Timely, Accurate and Useful Statistics in Service to U.S. Agriculture ~, County and District Geographic Boundaries, Crop Condition and Soil Moisture Analytics, Agricultural Statistics Board Corrections, Still time to respond to the 2022 Census of Agriculture, USDA to follow up with producers who have not yet responded, Still time to respond to the 2022 Puerto Rico Census of Agriculture, USDA to follow-up with producers who have not yet responded (Puerto Rico - English), 2022 Census of Agriculture due next week Feb. 6, Corn and soybean production down in 2022, USDA reports Besides requesting a NASS Quick Stats API key, you will also need to make sure you have an up-to-date version of R. If not, you can download R from The Comprehensive R Archive Network. Winter Wheat Seedings up for 2023, 12/13/22 NASS to publish milk production data in updated data dissemination format, 11/28/22 USDA-NASS Crop Progress report delayed until Nov. 29, 10/28/22 NASS reinstates Cost of Pollination survey, 09/06/22 NASS to review acreage information, 09/01/22 USDA NASS reschedules 2021 Conservation Practice Adoption Motivations data highlights release, 05/06/22 Respond Now to the 2022 Census of Agriculture, 08/05/20 The NASS Mission: We do it for you, 04/11/19 2017 Census of Agriculture Highlight Series Farms and Land in Farms, 04/11/19 2017 Census of Agriculture Highlight Series Economics, 04/11/19 2017 Census of Agriculture Highlight Series Demographics, 02/08/23 Crop Production (February 2023), 01/31/23 Cattle & Sheep and Goats (January 2023), 12/23/22 Quarterly Hogs and Pigs (December 2022), 12/15/22 2021 Certified Organics (December 2022), Talking About NASS - A guide for partners and stakeholders, USDA and NASS Anti-Harassment Policy Statement, REE Reasonable Accommodations and Personal Assistance Services, Safeguarding America's Agricultural Statistics Report and Video, Agriculture Counts - The Founding and Evolution of the National Agricultural Statistics Service 1957-2007, Hours: 7:30 a.m. - 4:00 p.m. Eastern Time Monday - Friday, except federal holidays Toll-Free: (800) 727-9540, Hours: 9:00 a.m. - 5:30 p.m. Eastern Time Monday - Friday, except federal holidays Toll-Free: (833) One-USDA returns a list of valid values for the source_desc Decode the data Quick Stats data in utf8 format. This will call its initializer (__init__()) function, which sets the API key, the base URL for the Quick Stats API, and the name of the folder where the class will write the output CSV file that contains agricultural data. NASS administers, manages, analyzes, and shares timely, accurate, and useful statistics in service to United States agriculture (NASS 2020). example. Remember to request your personal Quick Stats API key and paste it into the value for self.api_key in the __init__() function in the c_usda_quick_stats class. The following is equivalent, A growing list of convenience functions makes querying simpler. However, the NASS also allows programmatic access to these data via an application program interface as described in Section 2. Once in the tool please make your selection based on the program, sector, group, and commodity. You can also write the two steps above as one step, which is shown below. It also makes it much easier for people seeking to your .Renviron file and add the key. query. Agricultural Census since 1997, which you can do with something like. The last thing you might want to do is save the cleaned-up data that you queried from the NASS Quick Stats API. The name in parentheses is the name for the same value used in the Quick Stats query tool. year field with the __GE modifier attached to Create a worksheet that shows the number of acres harvested for top commodities from 1997 through 2021. Many people around the world use R for data analysis, data visualization, and much more. In addition, you wont be able Grain sorghum (Sorghum bicolor) is one of the most important cereal crops worldwide and is the third largest grain crop grown in the United. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the view of the U.S. Department of Agriculture. description of the parameter(s) in question: Documentation on all of the parameters is available at https://quickstats.nass.usda.gov/api#param_define. This reply is called an API response. As an example, one year of corn harvest data for a particular county in the United States would represent one row, and a second year would represent another row. Parameters need not be specified in a list and need not be If you use For example, you can write a script to access the NASS Quick Stats API and download data. many different sets of data, and in others your queries may be larger You can do this by including the logic statement source_description == SURVEY & county_name != "OTHER (COMBINED) COUNTIES" inside the filter function. use nassqs_record_count(). As a result, R coders have developed collections of user-friendly R scripts that accomplish themed tasks. The == character combination tells R that this is a logic test for exactly equal, the & character is a logic test for AND, and the != character combination is a logic test for not equal. In this case, the NC sweetpotato data will be saved to a file called nc_sweetpotato_data_query_on_20201001.csv on your desktop. # filter out census data, to keep survey data only Feel free to download it and modify it in the Tableaue Public Desktop application to learn how to create and publish Tableau visualizations. Harvesting its rich datasets presents opportunities for understanding and growth. Quick Stats contains official published aggregate estimates related to U.S. agricultural production. NASS develops these estimates from data collected through: Dynamic drill-down filtered search by Commodity, Location, and Date range, (dataset) USDA National Agricultural Statistics Service (2017). The NASS helps carry out numerous surveys of U.S. farmers and ranchers. Working for Peanuts: Acquiring, Analyzing, and Visualizing Publicly Available Data. Journal of the American Society of Farm Managers and Rural Appraisers, p156-166. 2020. Federal government websites often end in .gov or .mil. 2020. Quick Stats Lite or the like) in lapply. Winter Wheat Seedings up for 2023, 12/13/22 NASS to publish milk production data in updated data dissemination format, 11/28/22 USDA-NASS Crop Progress report delayed until Nov. 29, 10/28/22 NASS reinstates Cost of Pollination survey, 09/06/22 NASS to review acreage information, 09/01/22 USDA NASS reschedules 2021 Conservation Practice Adoption Motivations data highlights release, 05/06/22 Respond Now to the 2022 Census of Agriculture, 08/05/20 The NASS Mission: We do it for you, 04/11/19 2017 Census of Agriculture Highlight Series Farms and Land in Farms, 04/11/19 2017 Census of Agriculture Highlight Series Economics, 04/11/19 2017 Census of Agriculture Highlight Series Demographics, 02/08/23 Crop Production (February 2023), 01/31/23 Cattle & Sheep and Goats (January 2023), 12/23/22 Quarterly Hogs and Pigs (December 2022), 12/15/22 2021 Certified Organics (December 2022), Talking About NASS - A guide for partners and stakeholders, USDA and NASS Anti-Harassment Policy Statement, REE Reasonable Accommodations and Personal Assistance Services, Safeguarding America's Agricultural Statistics Report and Video, Agriculture Counts - The Founding and Evolution of the National Agricultural Statistics Service 1957-2007, Hours: 7:30 a.m. - 4:00 p.m. Eastern Time Monday - Friday, except federal holidays Toll-Free: (800) 727-9540, Hours: 9:00 a.m. - 5:30 p.m. Eastern Time Monday - Friday, except federal holidays Toll-Free: (833) One-USDA nc_sweetpotato_data_survey_mutate <- mutate(nc_sweetpotato_data_survey, harvested_sweetpotatoes_acres = as.numeric(str_replace_all(string = Value, pattern = ",", replacement = ""))) To cite rnassqs in publications, please use: Potter NA (2019). It allows you to customize your query by commodity, location, or time period. API makes it easier to download new data as it is released, and to fetch Read our rnassqs is a package to access the QuickStats API from The next thing you might want to do is plot the results. Then use the as.numeric( ) function to tell R each row is a number, not a character. The CDL is a crop-specific land cover classification product of more than 100 crop categories grown in the United States. Indians. This example in Section 7.8 represents a path name for a Mac computer, but a PC path to the desktop might look more like C:\Users\your\Desktop\nc_sweetpotato_data_query_on_20201001.csv. 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-162.930566 69.858062, -161.908897 70.33333, -160.934797 70.44769, -159.039176 70.891642, -158.119723 70.824721, -156.580825 71.357764, -155.06779 71.147776))), USDA National Agricultural Statistics Service, 005:042 - Department of Agriculture - Agricultural Estimates, 005:043 - Department of Agriculture - Census of Agriculture, 005:050 - Department of Agriculture - Commodity Purchases, 005:15 - National Agricultural Statistics Service. You will need this to make an API request later. Within the mutate( ) function you need to remove commas in rows of the Value column that are 1000 acres or more (that is, you want 1000, not 1,000). 2017 Census of Agriculture. *In this Extension publication, we will only cover how to use the rnassqs R package. As mentioned in Section 4, RStudio provides a user-friendly way to interact with R. If this is your first time using a particular R package or if you have forgotten whether you installed an R package, you first need to install it on your computer by downloading it from the Comprehensive R Archive Network (Section 4). Then, it will show you how to use Python to retrieve agricultural data with the NASS Quick Stats API. The Comprehensive R Archive Network (CRAN), Weed Management in Nurseries, Landscapes & Christmas Trees, NC Generally the best way to deal with large queries is to make multiple Note that the value PASTE_YOUR_API_KEY_HERE must be replaced with your personal API key. # look at the first few lines Data are currently available in the following areas: Pre-defined queries are provided for your convenience. downloading the data via an R script creates a trail that you can revisit later to see exactly what you downloaded.It also makes it much easier for people seeking to . While it does not access all the data available through Quick Stats, you may find it easier to use.

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