You can view the timing of these NASS surveys on the calendar and in a summary of these reports. Before sharing sensitive information, make sure you're on a federal government site. On the site you have the ability to filter based on numerous commodity types. The USDAs National Agricultural Statistics Service (NASS) makes the departments farm agricultural data available to the public on its website through reports, maps, search tools, and its NASS Quick Stats API. The API only returns queries that return 50,000 or less records, so Receive Email Notifications for New Publications. After you have completed the steps listed above, run the program. Email: It is simple and easy to use, and provides some functions to help navigate the bewildering complexity of some Quick Stats data. You can then define this filtered data as nc_sweetpotato_data_survey. An application program interface, or API for short, helps coders access one software program from another. R is also free to download and use. sampson_sweetpotato_data <- filter(nc_sweetpotato_data, county_name == "SAMPSON") The agency has the distinction of being known as The Fact Finders of U.S. Agriculture due to the abundance of . As mentioned in Section 1, you can visit the NASS Quick Stats website, click through the options, and download the data. Alternatively, you can query values A&T State University, in all 100 counties and with the Eastern Band of Cherokee Before you can plot these data, it is best to check and fix their formatting. Rstudio, you can also use usethis::edit_r_environ to open DSFW_Peanuts: Analysis of peanut DSFW from USDA-NASS databases. Accessed: 01 October 2020. However, other parameters are optional. You will need this to make an API request later. If you have already installed the R package, you can skip to the next step (Section 7.2). provide an api key. The National Agricultural Statistics Service (NASS) is part of the United States Department of Agriculture. 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). United States Department of Agriculture. rnassqs: An R package to access agricultural data via the USDA National Agricultural Statistics Service (USDA-NASS) 'Quick Stats' API. Quick Stats Lite 2017 Census of Agriculture. You can also set the environmental variable directly with Agricultural Resource Management Survey (ARMS). assertthat package, you can ensure that your queries are Be sure to keep this key in a safe place because it is your personal key to the NASS Quick Stats API. Skip to 5. Its very easy to export data stored in nc_sweetpotato_data or sampson_sweetpotato_data as a comma-separated variable file (.CSV) in R. To do this, you can use the write_csv( ) function. Quick Stats contains official published aggregate estimates related to U.S. agricultural production. Here are the two Python modules that retrieve agricultural data with the Quick Stats API: To run the program, you will need to install the Python requests and urllib packages. its a good idea to check that before running a query. NASS conducts hundreds of surveys every year and prepares reports covering virtually every aspect of U.S. agriculture. Also, the parameter values be replaced with specific parameter-value pairs to search for the desired data. Quick Stats Lite provides a more structured approach to get commonly requested statistics from our online database. For example, if you wanted to calculate the sum of 2 and 10, you could use code 2 + 10 or you could use the sum( ) function (that is sum(2, 10)). Instructions for how to use Tableau Public are beyond the scope of this tutorial. Please click here to provide feedback for any of the tools on this page. Do this by right-clicking on the file name in Solution Explorer and then clicking [Set as Startup File] from the popup menu. The Quick Stats Database is the most comprehensive tool for accessing agricultural data published by NASS. Quick Stats Lite provides a more structured approach to get commonly requested statistics from . Ward, J. K., T. W. Griffin, D. L. Jordan, and G. T. Roberson. Here are the pairs of parameters and values that it will submit in the API call to retrieve that data: Following is the full encoded URL that the program below creates and sends with the Quick Stats API. Multiple values can be queried at once by including them in a simple Any person using products listed in . list with c(). Accessed: 01 October 2020. and rnassqs will detect this when querying data. 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). Finally, it will explain how to use Tableau Public to visualize the data. you downloaded. do. Website:, June Turner, Director Email: / Phone: (202) 720-8257, Find contact information for Regional and State Field Offices. In this case, the task is to request NASS survey data. United States Dept. .gov website belongs to an official government Additionally, the CoA includes data on land use, land ownership, agricultural production practices, income, and expenses at the farm and ranch level. Call 1-888-424-7828 NASS Customer Support is available Monday - Friday, 8am - 5pm CT Please be prepared with your survey name and survey code. nassqs_auth(key = NASS_API_KEY). of Agr - Nat'l Ag. However, here are the basic steps to install Tableau Public and build and publish the dashboard: After completing this tutorial, you should have a general understanding of: I can imagine many use cases for projects that would use data from the Quick Stats database. # select the columns of interest First, you will define each of the specifics of your query as nc_sweetpotato_params. Quick Stats is the National Agricultural Statistics Service's (NASS) online, self-service tool to access complete results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. Its easiest if you separate this search into two steps. DRY. Most queries will probably be for specific values such as year An introductory tutorial or how to use the National Agricultural Statistics Service (NASS) Quickstats tool can be found on their website. The site is secure. # filter out census data, to keep survey data only For example, in the list of API parameters shown above, the parameter source_desc equates to Program in the Quick Stats query tool. If you download NASS data without using computer code, you may find that it takes a long time to manually select each dataset you want from the Quick Stats website. 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. You can verify your report was received by checking the Submitted date under the Status column of the My Surveys tab. Quick Stats Lite provides a more structured approach to get commonly requested statistics from our online database. your .Renviron file and add the key. You can also make small changes to the script to download new types of data. 4:84. Contact a specialist. I built the queries simply by selecting one or more items from each of a series of dynamic dropdown menus. nassqs_auth(key = "ADD YOUR NASS API KEY HERE"). 1987. The .gov means its official. Finally, you can define your last dataset as nc_sweetpotato_data. The information on this page (the dataset metadata) is also available in these formats: The Quick Stats Database is the most comprehensive tool for accessing agricultural data published by the USDA National Agricultural Statistics Service (NASS). The latest version of R is available on The Comprehensive R Archive Network website. In this publication, the word variable refers to whatever is on the left side of the <- character combination. Providing Central Access to USDAs Open Research Data. Title USDA NASS Quick Stats API Version 0.1.0 Description An alternative for downloading various United States Department of Agriculture (USDA) data from <> through R. .§or_desc%3DFARMS%20%26%20LANDS%20%26%20ASSETS&commodity_desc%3DFARM%20OPERATIONS&statisticcat_desc%3DAREA%20OPERATED&unit_desc=ACRES&freq_desc=ANNUAL&reference_period_desc=YEAR&year__GE=1997&agg_level_desc=NATIONAL&state_name%3DUS%20TOTAL&format=CSV. NASS - Quick Stats. Then, it will show you how to use Python to retrieve agricultural data with the NASS Quick Stats API. For example, a (D) value denotes data that are being withheld to avoid disclosing data for individual operations according to the creators of the NASS Quick Stats API. The following is equivalent, A growing list of convenience functions makes querying simpler. An official website of the United States government. Open Tableau Public Desktop and connect it to the agricultural CSV data file retrieved with the Quick Stats API through the Python program described above. 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. S, R, and Data Science. Proceedings of the ACM on Programming Languages. You can think of a coding language as a natural language like English, Spanish, or Japanese. If you are using Visual Studio, then set the Startup File to the file class(nc_sweetpotato_data_survey$Value) But you can change the export path to any other location on your computer that you prefer. The Quick Stats Database is the most comprehensive tool for accessing agricultural data published by NASS. The sample Tableau dashboard is called U.S. Either 'CENSUS' or 'SURVEY'", 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. If you use A script is like a collection of sentences that defines each step of a task. and you risk forgetting to add it to .gitignore. You can read more about the available NASS Quick Stats API parameters and their definitions by checking out the help page on this topic. lock ( # drop old Value column You can also refer to these software programs as different coding languages because each uses a slightly different coding style (or grammar) to carry out a task. Access Quick Stats Lite . NASS Regional Field Offices maintain a list of all known operations and use known sources of operations to update their lists. may want to collect the many different categories of acres for every 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. nassqs_parse function that will process a request object The use of a callback function parameter, not shown in the example above, is beyond the scope of this article. . Then, when you click [Run], it will start running the program with this file first. The API request is the customers (your) food order, which the waitstaff wrote down on the order notepad. In the beginning it can be more confusing, and potentially take more In this case, the NASS Quick Stats API works as the interface between the NASS data servers (that is, computers with the NASS survey data on them) and the software installed on your computer. Then you can use it coders would say run the script each time you want to download NASS survey data. About NASS. Washington and Oregon, you can write state_alpha = c('WA', .Renviron, you can enter it in the console in a session. So, you may need to change the format of the file path value if you will run the code on Mac OS or Linux, for example: self.output_file_path = rc:\\usda_quickstats_files\\. 'OR'). There are R packages to do linear modeling (such as the lm R package), make pretty plots (such as the ggplot2 R package), and many more. nass_data: Get data from the Quick Stats query In usdarnass: USDA NASS Quick Stats API Description Usage Arguments Value Examples Description Sends query to Quick Stats API from given parameter values. Each language has its own unique way of representing meaning, using these characters and its own grammatical rules for combining these characters. The site is secure. Journal of Open Source Software , 4(43 . Here is the format of the base URL that will be used in this articles example: key&{parameter parameter}&format={json | csv | xml}. api key is in a file, you can use it like this: If you dont want to add the API key to a file or store it in your Many coders who use R also download and install RStudio along with it. 2022. NASS publications cover a wide range of subjects, from traditional crops, such as corn and wheat, to specialties, such as mushrooms and flowers; from calves born to hogs slaughtered; from agricultural prices to land in farms. parameter. The .gov means its official. Texas Crop Progress and Condition (February 2023) USDA, National Agricultural Statistics Service, Southern Plains Regional Field Office Seven Day Observed Regional Precipitation, February 26, 2023. Filter lists are refreshed based upon user choice allowing the user to fine-tune the search. Corn production data goes back to 1866, just one year after the end of the American Civil War. and predecessor agencies, U.S. Department of Agriculture (USDA). One way it collects data is through the Census of Agriculture, which surveys all agricultural operations with $1,000 or more of products raised or sold during the census year. # check the class of Value column For example, if someone asked you to add A and B, you would be confused. Before you make a specific API query, its best to see whether the data are even available for a particular combination of parameters. One way of 2020. In this publication we will focus on two large NASS surveys. The next thing you might want to do is plot the results. Each parameter is described on the Quick Stats Usage page, in its Quick Stats Columns Definition table, as shown below. Potter, (2019). Accessed online: 01 October 2020. 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. After it receives the data from the server in CSV format, it will write the data to a file with one record per line. Once you have a If the survey is from USDA National Agricultural Statistics Service (NASS), y ou can make a note on the front page and explain that you no longer farm, no longer own the property, or if the property is farmed by someone else. It allows you to customize your query by commodity, location, or time period. Skip to 6. Public domain information on the National Agricultural Statistics Service (NASS) Web pages may be freely downloaded and reproduced. You can check the full Quick Stats Glossary. write_csv(data = nc_sweetpotato_data, path = "Users/your/Desktop/nc_sweetpotato_data_query_on_20201001.csv"). Parameters need not be specified in a list and need not be rnassqs tries to help navigate query building with 2020. Retrieve the data from the Quick Stats server. 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. both together, but you can replicate that functionality with low-level "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. How to install Tableau Public and learn about it if you want to try it to visualize agricultural data or use it for other projects. After you run this code, the output is not something you can see. token API key, default is to use the value stored in .Renviron . # look at the first few lines County level data are also available via Quick Stats. N.C. file. The CDL is a crop-specific land cover classification product of more than 100 crop categories grown in the United States. N.C. nassqs is a wrapper around the nassqs_GET The USDA NASS Quick Stats API provides direct access to the statistical information in the Quick Stats database. reference_period_desc "Period" - The specic time frame, within a freq_desc. It allows you to customize your query by commodity, location, or time period. For example, you will get an error if you write commodity_desc = SWEET POTATO (that is, dropping the ES) or write commodity_desc = sweetpotatoes (that is, with no space and all lowercase letters). install.packages("rnassqs"). Your home for data science. example, you can retrieve yields and acres with. To demonstrate the use of the agricultural data obtained with the Quick Stats API, I have created a simple dashboard in Tableau Public. Beginning in May 2010, NASS agricultural chemical use data are published to the Quick Stats 2.0 database only (full-text publications have been discontinued), and can be found under the NASS Chemical Usage Program. You can get an API Key here. 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. Harvesting its rich datasets presents opportunities for understanding and growth. NASS collects and manages diverse types of agricultural data at the national, state, and county levels. And data scientists, analysts, engineers, and any member of the public can freely tap more than 46 million records of farm-related data managed by the U.S. Department of Agriculture (USDA). The data found via the CDQT may also be accessed in the NASS Quick Stats database. Official websites use .govA For example, say you want to know which states have sweetpotato data available at the county level. Prior to using the Quick Stats API, you must agree to the NASS Terms of Service and obtain an API key. Because R is accessible to so many people, there is a great deal of collaboration and sharing of R resources, scripts, and knowledge. A script includes a collection of code that, when taken together, defines a series of steps the coder wants his or her computer to carry out. As an analogy, you can think of R as a plain text editor (such as Notepad), while RStudio is more like Microsoft Word with additional tools and options. Now you have a dataset that is easier to work with. Then use the as.numeric( ) function to tell R each row is a number, not a character. Agricultural Resource Management Survey (ARMS). Public domain information on the National Agricultural Statistics Service (NASS) Web pages may be freely downloaded and reproduced. Access Quick Stats (searchable database) The Quick Stats Database is the most comprehensive tool for accessing agricultural data published by NASS. Corn stocks down, soybean stocks down from year earlier return the request object. description of the parameter(s) in question: Documentation on all of the parameters is available at Data request is limited to 50,000 records per the API. You can see whether a column is a character by using the class( ) function on that column (that is, nc_sweetpotato_data_survey$Value where the $ helps you access the Value column in the nc_sweetpotato_data_survey variable). In R, you would write x <- 1. Census of Agriculture Top The Census is conducted every 5 years. use nassqs_record_count(). it. # filter out Sampson county data An official website of the General Services Administration. Accessed 2023-03-04. Potter N (2022). The United States is blessed with fertile soil and a huge agricultural industry. In file create the parameters variable that contains parameter and value pairs to select data from the Quick Stats database. The returned data includes all records with year greater than or Not all NASS data goes back that far, though. If you use it, be sure to install its Python Application support. By setting domain_desc = TOTAL, you will get the total acreage of sweetpotatoes in the county as opposed to the acreage of sweetpotates in the county grown by operators or producers of specific demographic groups that contribute to the total acreage of harvested sweetpotatoes in the county. Use nass_count to determine number of records in query. Tableau Public is a free version of the commercial Tableau data visualization tool. However, beware that this will be a development version: # install.packages ("devtools") devtools :: install_github ("rdinter . It allows you to customize your query by commodity, location, or time period. You can then visualize the data on a map, manipulate and export the results, or save a link for future use. Including parameter names in nassqs_params will return a parameters. National Agricultural Statistics Service (NASS) Quickstats can be found on their website. or the like) in lapply. The primary benefit of rnassqs is that users need not download data through repeated . This number versus character representation is important because R cannot add, subtract, multiply, or divide characters. While there are three types of API queries, this tutorial focuses on what may be the most flexible, which is the GET /api/api_GET query. valid before attempting to access the data: Once youve built a query, running it is easy: Putting all of the above together, we have a script that looks You can also write the two steps above as one step, which is shown below. Accessing data with computer code comes in handy when you want to view data from multiple states, years, crops, and other categories. Please note that you will need to fill in your NASS Quick Stats API key surrounded by quotation marks. 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. You can then visualize the data on a map, manipulate and export the results as an output file compatible for updating databases and spreadsheets, or save a link for future use. system environmental variable when you start a new R Depending on what agency your survey is from, you will need to contact that agency to update your record. The Census Data Query Tool (CDQT) is a web-based tool that is available to access and download table level data from the Census of Agriculture Volume 1 publication. Click the arrow to access Quick Stats. For example, commodity_desc refers to the commodity description information available in the NASS Quick Stats API and agg_level_desc refers to the aggregate level description of NASS Quick Stats API data. If you are interested in just looking at data from Sampson County, you can use the filter( ) function and define these data as sampson_sweetpotato_data. rnassqs is a package to access the QuickStats API from The query in After running this line of code, R will output a result. If all works well, then it should be completed within a few seconds and it will write the specified CSV file to the output folder. Need Help? Now that you have a basic understanding of the data available in the NASS database, you can learn how to reap its benefits in your projects with the NASS Quick Stats API. You can use the ggplot( ) function along with your nc_sweetpotato_data variable to do this. Secure .gov websites use HTTPSA 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. This will create a new for each field as above and iteratively build your query. install.packages("tidyverse") 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