pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid
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Query the Data Delivery Network

Query the DDN

The easiest way to query any data on Splitgraph is via the "Data Delivery Network" (DDN). The DDN is a single endpoint that speaks the PostgreSQL wire protocol. Any Splitgraph user can connect to it at data.splitgraph.com:5432 and query any version of over 40,000 datasets that are hosted or proxied by Splitgraph.

For example, you can query the prek_counts_and_head_start_supplemental_assistance table in this repository, by referencing it like:

"pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid:latest"."prek_counts_and_head_start_supplemental_assistance"

or in a full query, like:

SELECT
    ":id", -- Socrata column ID
    "county_fips_code", -- The FIPS county code is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states. This is the 3-digit part of the 5-digit county FIPS code specifically standing for the county.
    "state_fips_code", -- These are the first 2 digits of the 5-digit Federal Information Processing Standard (FIPS) code that designate the State association. Each State has its own 2-digit number and each County within the state has its own 3-digit number which are combined into a 5-digit number to uniquely identify every US county. For more technical details : Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. Federal Information Processing Standard (FIPS) 6-4, Counties and Equivalent Entities of the U.S., Its Possessions, and Associated Areas -- 90 Aug 31 , provides the names and codes that represent the counties and other entities treated as equivalent legal and/or statistical subdivisions of the 50 States, the District of Columbia, and the possessions and freely associated areas of the United States. Counties are considered to be the "first-order subdivisions" of each State and statistically equivalent entity, regardless of their local designations (county, parish, borough, etc.). Information gathered from census data - https://www.census.gov/library/reference/code-lists/ansi.html
    "geocoded_column_1", -- Georeferenced Latitude and Longitude of the location for the physical location where Pre-K Counts (PKC) or Head Start Supplemental Assistance (HSSAP) services are delivered
    "master_provider_id_service_location_identification", -- Master Provider Index Numbers are used across the Department of Human Services to identify providers and service locations that participate in any of their programs. As such, they are used in PELICAN (Pennsylvania's Enterprise to Link Information for Children Across Networks) to  as a common identifier for all OCDEL (Office of Child Development and Early Learning) programs, including Child Care Licensing, Early Intervention, PA Pre-K Counts, Head Start Supplemental and Keystone STARS. This is the MPI Service Location ID for the Location.
    "loc_pre_k_id", -- The Location Pre-K ID is a unique identifier to identify pre-k providers in PELICAN (Pennsylvania Enterprise to Link Information for Children across Networks). 
    "total_funded_slots", -- The number of full-day and/or part-day slots and total slots funded with in a period (per FY listed for the row) as continuation funding to slots awarded in a previous program year. A blank in the field means that the location did not receive funding during this program year in any form. A '0' in the field indicates “either full-day or part-day slots were not funded” at this location in the designated program year for PA PKC or are not able to be differentiated for HSSAP. 
    "date", -- The last day of the Fiscal Year that is considered in for the particular Fiscal Year in this data row.
    "location_school_district", -- School District name of location address.
    "lead_agency_name", -- Entity to which Pennsylvania Pre-K Counts (PKC) or Head Start Supplemental Assistance (HSSAP) funds are competitively awarded.
    "legal_entity_master_provider_id", -- Master Provider Index Numbers are used across the Department of Human Services to identify providers and service locations that participate in any of their programs. As such, they are used in PELICAN as a common identifier for all OCDEL programs, including Child Care Licensing, Early Intervention, PA Pre-K Counts, Head Start Supplemental and Keystone STARS. This is the MPI for the Lead Agency.
    "master_provider_identification_", -- Master Provider Index Numbers are used across the Department of Human Services to identify providers and service locations that participate in any of their programs. As such, they are used in PELICAN (Pennsylvania's Enterprise to Link Information for Children Across Networks) as a common identifier for all OCDEL (Office of Child Development and Early Learning) programs, including Child Care Licensing, Early Intervention, PA Pre-K Counts, Head Start Supplemental and Keystone STARS. This is the MPI for the Lead Agency.
    "half_day_funded_slots", -- Slots equate to the number of funded enrollments within either the PA PKC or the HSSAP grant. PKC data can be captured at the part-day (2.5-4.45 hour a day 5 days a week. HSSAP only capture the number children funded. HSSAP funding models vary in accordance to the acceptable models acknowledged by the Head Start Performance Standards and can operate less than 5 days a week as well as full day or part day and home visits. A blank field means that the location did not receive funding during this program year in any form. A '0' in the field indicates “either full-day or part-day slots were not funded” at this location in the designated program year for PA PKC or are not able to be differentiated for HSSAP. 
    "full_day_funded_slots", -- Slots equate to the number of funded enrollments within either the PA PKC or the HSSAP grant. PKC data can be captured at the full-day (5 hours or more) a day 5 days a week. HSSAP only capture the number children funded. HSSAP funding models vary in accordance to the acceptable models acknowledged by the Head Start Performance Standards and can operate less than 5 days a week as well as full day or part day and home visits. A blank field means that the location did not receive funding during this program year in any form. A '0' in the field indicates “either full-day or part-day slots were not funded” at this location in the designated program year for PA PKC or are not able to be differentiated for HSSAP. 
    "location_county_served", -- The County of the location served address.
    "zip_code", -- The Zip Code is the zip code for the physical location where PKC or HSSAP services are delivered
    "city", -- The city name if the city for the physical location where PKC or HSSAP services are delivered
    "street_address", -- The location address is the street address for the physical location where PKC or HSSAP services are delivered
    "location_name", -- The name of the location where PKC or HSSAP services are provided.
    "partner_name", -- This column denotes the name of the provider if a lead agency is passing through funds to another eligible provider to deliver the grant funded program.
    "fiscal_year", -- The Fiscal Year of the data in this row.
    "state", -- The state name is the state for the physical location where PKC or HSSAP services are delivered
    "provider_type", -- PKC and HSSAP can only be implemented by entities who are designated Child Care Center or Group participating in Keystone STARS at STAR 3 or 4; Head Start Grantees; Private Academic Preschools; or School Districts. Provider type identifies which eligible provider type the location is operating as.
    "grant" -- Source of funding for the slots addressed in this row. PA PKC denotes Pennsylvania Pre-K Counts program and HSSAP denotes state funded* Head Start Supplemental Assistance Program. Both programs serve 3 and 4 year old children. Primary eligibility for children is PA PKC children whose families are at or below 300 percent of the Federal Poverty Guidelines. HSSAP is primarily children whose families earn at or below 100 percent of the Federal Poverty Guidelines.
FROM
    "pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid:latest"."prek_counts_and_head_start_supplemental_assistance"
LIMIT 100;

Connecting to the DDN is easy. All you need is an existing SQL client that can connect to Postgres. As long as you have a SQL client ready, you'll be able to query pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid with SQL in under 60 seconds.

Query Your Local Engine

Install Splitgraph Locally
bash -c "$(curl -sL https://github.com/splitgraph/splitgraph/releases/latest/download/install.sh)"
 

Read the installation docs.

Splitgraph Cloud is built around Splitgraph Core (GitHub), which includes a local Splitgraph Engine packaged as a Docker image. Splitgraph Cloud is basically a scaled-up version of that local Engine. When you query the Data Delivery Network or the REST API, we mount the relevant datasets in an Engine on our servers and execute your query on it.

It's possible to run this engine locally. You'll need a Mac, Windows or Linux system to install sgr, and a Docker installation to run the engine. You don't need to know how to actually use Docker; sgrcan manage the image, container and volume for you.

There are a few ways to ingest data into the local engine.

For external repositories, the Splitgraph Engine can "mount" upstream data sources by using sgr mount. This feature is built around Postgres Foreign Data Wrappers (FDW). You can write custom "mount handlers" for any upstream data source. For an example, we blogged about making a custom mount handler for HackerNews stories.

For hosted datasets (like this repository), where the author has pushed Splitgraph Images to the repository, you can "clone" and/or "checkout" the data using sgr cloneand sgr checkout.

Cloning Data

Because pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid:latest is a Splitgraph Image, you can clone the data from Spltgraph Cloud to your local engine, where you can query it like any other Postgres database, using any of your existing tools.

First, install Splitgraph if you haven't already.

Clone the metadata with sgr clone

This will be quick, and does not download the actual data.

sgr clone pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid

Checkout the data

Once you've cloned the data, you need to "checkout" the tag that you want. For example, to checkout the latest tag:

sgr checkout pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid:latest

This will download all the objects for the latest tag of pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid and load them into the Splitgraph Engine. Depending on your connection speed and the size of the data, you will need to wait for the checkout to complete. Once it's complete, you will be able to query the data like you would any other Postgres database.

Alternatively, use "layered checkout" to avoid downloading all the data

The data in pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid:latest is 0 bytes. If this is too big to download all at once, or perhaps you only need to query a subset of it, you can use a layered checkout.:

sgr checkout --layered pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid:latest

This will not download all the data, but it will create a schema comprised of foreign tables, that you can query as you would any other data. Splitgraph will lazily download the required objects as you query the data. In some cases, this might be faster or more efficient than a regular checkout.

Read the layered querying documentation to learn about when and why you might want to use layered queries.

Query the data with your existing tools

Once you've loaded the data into your local Splitgraph Engine, you can query it with any of your existing tools. As far as they're concerned, pa-gov/prek-counts-and-head-start-supplemental-assistance-pgbt-5wid is just another Postgres schema.

Related Documentation:

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