{"info":{"_postman_id":"48aa8b8b-4814-4dcc-9480-20ad24989762","name":"Submission Template","description":"

Interested in submitting an API or collection to a Postman Resource Center? Use this template as a guide for making a well-documented collection.

Description: Give a short overview of the overall function of this API and how it is different from the existing collections.

Tags: Tags help keep the resource centers organized. Provide 1-5 tags about the general concepts this collection covers. For a complete list of current tags, click here. You may also utilize the collection variables section to provide more technical tags that will be used for indexing collections. You can read more about how to set that up here.

Structure: Traditionally, API documentation lists out every available method. This is, of course, very useful for those looking to dive into an API, but for the context of the API resource center, consider structuring a folder or the whole collection as more of a \"quick-start guide\" highlighting common requests users might be interested in. This allows users to get started quickly without having to master the ecosystem.

Overview

Whether you're creating a collection for an API you developed or one you found, it's a good idea to provide as much information as possible to help users understand whether this API suits their needs. The sections below give some ideas of topics that are helpful to cover if the information is available.

Provenance

Where did this data come from? Provide a link to the original source if possible.
How was the data obtained?
Has the data been altered in any way from its original form?
How often is this data updated?

Creator

Name of individual or organization providing the API
Type of organization: individual, private company, non-profit, public agency, academic institution, etc.
Website
GitHub
Contact for more information or support

Technical Specs

Responsiveness
Development status (Alpha, Beta, etc.)
Throttling
Access (Does it require registration or an API key? Is it free or paid?)

Resources

Swagger/OpenAPI
Related Postman documentation
Sample application using the API
Tutorials
Is there a place where users can browse the data?
Related websites

\n","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[],"owner":"2220438","collectionId":"48aa8b8b-4814-4dcc-9480-20ad24989762","publishedId":"T1LMi7NK","public":true,"customColor":{"top-bar":"FFFFFF","right-sidebar":"1A558C","highlight":"EF5B25"},"publishDate":"2020-09-30T12:00:55.000Z"},"item":[{"name":"General Request","id":"fde4d1a6-6882-4ba3-b612-281858e50b81","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://postman-echo.com/time/format?timestamp=2016-10-10&format=mm","description":"

#timeFormatting (Consider adding tags specific to this request to help users quickly find the information they are interested in.)

Go on to explain what this request does.

What type of data does it return, and what does that data tell us?
Does it return static data, or is the data updated frequently?
Why might someone use this request?
If there are requests similar to this in your collection, what makes this one different?
Is there anything unexpected about the behavior of this request?
Does it have an associated visualization? If so, you could add a screenshot here so that it will be displayed in the published documentation.
Do you have any links to tutorials or sample apps where this request is used?

Finally, don't forget to save one or more example responses. Knowing what type of response to expect from an API lowers the barrier to entry, and may help make your documentation more credible. To save an example response, send your request, then click \"Save Response\" at the top right of the response window. You may want to save a response for a successful response as well as known error responses. Also, if the response changes according to parameters, it may be useful to have examples of this as well.

\n","urlObject":{"protocol":"https","path":["time","format"],"host":["postman-echo","com"],"query":[{"description":{"content":"

Documenting parameters can be beneficial and provide vital context for those using an API for the first time. Consider offering a few example requests that explain why and how you chose these parameter values. (Does it require a strict format? Is it an enumerated value that will only accept specific tokens? Did you get this value from a previous request?)

\n","type":"text/plain"},"key":"timestamp","value":"2016-10-10"},{"description":{"content":"

Where can users find these formats? Link to specific resources or list the values out here.

use backticks to list values

\n","type":"text/plain"},"key":"format","value":"mm"}],"variable":[]}},"response":[{"id":"768195db-b2a5-4c43-a140-76bbb233d7bf","name":"200 Response","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://postman-echo.com/time/format?timestamp=2016-10-10&format=mm","protocol":"https","host":["postman-echo","com"],"path":["time","format"],"query":[{"key":"timestamp","value":"2016-10-10","description":"Explain more about this parameter. Does it require a strict format? Is it an enumerated value that will only accept certain tokens? \n\n`use` `backticks` `to` `list` `values`"},{"key":"format","value":"mm","description":"Where can users find these formats? Link to specific resources or list them out."}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Tue, 11 Aug 2020 16:05:42 GMT"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Content-Length","value":"15"},{"key":"Connection","value":"keep-alive"},{"key":"ETag","value":"W/\"f-oSXEKZdRgFcBy3nxz+EFgc2p5wo\""},{"key":"Vary","value":"Accept-Encoding"},{"key":"set-cookie","value":"sails.sid=s%3AgYLFu0tHKSlI_f8dpKT8TOjog2rCX0YF.nISwkO1FvMdu%2FRfFYhONzhWqIVnbgZDw8mIgFZl5%2FBY; Path=/; HttpOnly"}],"cookie":[],"responseTime":null,"body":"{\n \"format\": \"20\"\n}"}],"_postman_id":"fde4d1a6-6882-4ba3-b612-281858e50b81"},{"name":"Visualization Request","event":[{"listen":"test","script":{"id":"39f99d89-b536-45cd-9b01-5720d54cbb23","exec":["var template = `"," "," ","

Rich Data Services Catalog

","

"," {{#each response.catalogs}}\t","

","\t\t","\t {{name}} [{{id}}] - {{description}}","\t

"," {{#each dataProducts}}","\t \t

"," "," {{name}} [{{id}}]","

"," {{#if description}}","

Description

","

{{{description}}}

"," {{/if}}"," {{#if citation}}","

Citation

","

{{{citation}}}

"," {{/if}}"," {{#if provenance}}","

Provenance

","

{{{provenance}}}

"," {{/if}}"," {{#if note}}","

Notes

","

{{{note}}}

"," {{/if}} ","

","

","\t \t{{/each}}","

","

"," {{/each}}","`;","","// Set visualizer","pm.visualizer.set(template, {"," // Pass the response body parsed as JSON as `data`"," response: pm.response.json()","});"],"type":"text/javascript"}}],"id":"606e9ecb-6ab6-45c9-811a-89d78699806b","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://public.richdataservices.com/rds/api/catalog/","description":"

Providing a visualization with your request gives users a concrete example of how to use the data you provide. A visualization can be anything from an HTML table presenting data in a more human-readable way, or a graph plotting the returned data points. For some inspiration and examples of how to use the visualizer feature, check out this section of the Postman Community Forum.

If you do end up including a visualizer element, be sure to note it here (and maybe even include a screenshot or GIF) so people can know to look for it in the imported collection, as the online documentation currently does not support visualizations.

\n $\"exploreCatalog\"$ \n\n

Pictured above: GIF showing a visualization of displaying a JSON data source catalog as an expandable HTML list

\n","urlObject":{"protocol":"https","path":["rds","api","catalog",""],"host":["public","richdataservices","com"],"query":[],"variable":[]}},"response":[{"id":"8cbe079d-32c8-4bbf-9946-f2ffafe36ba6","name":"Visualization Request","originalRequest":{"method":"GET","header":[],"url":"https://covid19.richdataservices.com/rds/api/catalog/"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 13 Aug 2020 17:13:25 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, max-age=0, must-revalidate"},{"key":"Pragma","value":"no-cache"},{"key":"Expires","value":"0"},{"key":"X-XSS-Protection","value":"1; mode=block"},{"key":"X-Frame-Options","value":"DENY"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Content-Type","value":"application/json;charset=UTF-8"},{"key":"Connection","value":"close"},{"key":"Transfer-Encoding","value":"chunked"}],"cookie":[],"responseTime":null,"body":"{\n \"catalogs\": [\n {\n \"dataProducts\": [\n {\n \"description\": \"The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years.\",\n \"id\": \"pums_cchs_2017\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-15T00:26:17.651Z\",\n \"name\": \"Canadian Community Health Survey, 2017-2018: Annual Component\",\n \"uri\": \"e4767a90-9e8f-47df-9d56-cf2a8264b32a\"\n },\n {\n \"description\": \"

Conducted online from From March 29 to April 3 2020, this survey aims at understanding the impact of the COVID-19.

This survey is the first in the Canadian Perspectives Survey Series (CPSS), a set of short, online surveys to be used to collect information on the knowledge and behaviours of residents of the 10 Canadian provinces. This information is used by government organizations, such as the Public Health Agency of Canada and Employment and Social Development Canada, and other types of organizations to evaluate the need for health and social services, as well as economic support during and after the pandemic.

All surveys in the series will be asked of Statistics Canada’s probability panel. The probability panel for the CPSS is a new pilot project initiated in 2019. An important goal of the CPSS is to directly collect data from Canadians in a timely manner in order to inform policy makers and be responsive to emerging data needs. The CPSS is designed to produce data at a national level (excluding the territories).

\",\n \"id\": \"pums_cpss_01\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T05:22:43.267Z\",\n \"name\": \"Canadian Perspective Survey Series 1: Impacts of COVID-19\",\n \"uri\": \"eccf0e15-cb64-4eb1-9e72-1e3b1c3229d3\"\n },\n {\n \"description\": \"

The second survey of the CPSS is CPSS2 - Monitoring the Effects of COVID-19. It was administered from May 4, 2020 until May 10, 2020.

This survey is the first in the Canadian Perspectives Survey Series (CPSS), a set of short, online surveys beginning in March 2020 that will be used to collect information on the knowledge and behaviours of residents of the 10 Canadian provinces.

All surveys in the series will be asked of Statistics Canada's probability panel. The probability panel for the CPSS is a new pilot project initiated in 2019. An important goal of the CPSS is to directly collect data from Canadians in a timely manner in order to inform policy makers and be responsive to emerging data needs. The CPSS is designed to produce data at a national level (excluding the territories).

\",\n \"id\": \"pums_cpss_02\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-15T00:27:22.946Z\",\n \"name\": \"Canadian Perspective Survey Series 2: Monitoring the Effects of COVID-19\",\n \"uri\": \"e222f02e-f956-4d52-8bce-9a3f4d90d770\"\n },\n {\n \"citation\": \"Google LLC \\\"Google COVID-19 Community Mobility Reports\\\". https://www.google.com/covid19/mobility Accessed: 2020-06-24.\",\n \"description\": \"Canada Provinces and Territories level dataset (other geographies removed). The Google Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.\",\n \"id\": \"google_mobility_ca\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-25T02:49:03.757Z\",\n \"name\": \"Google COVID-19 Community Mobility Reports: Canada \",\n \"note\": \"Changes for each day are compared to a baseline value for that day of the week:

The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.
The datasets show trends over several months with the most recent data representing approximately 2-3 days ago—this is how long it takes to produce the datasets.

More information regarding the data can be found on Google's CSV Documentation Page. \",\n \"provenance\": \"\",\n \"uri\": \"608d3015-44fb-4d41-8740-2d08ce7a8fa6\"\n },\n {\n \"citation\": \"Government of Canada. Coronavirus disease (COVID-19): Outbreak update\",\n \"description\": \"Provincial level COVID-19 case information collected and published by the Canadian government. Each record measures confirmed and probable cases, tests performed, recoveries, and deaths for a province on a specific date.\",\n \"id\": \"ca_gov_cases\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:24.381Z\",\n \"name\": \"Government of Canada COVID-19\",\n \"note\": \"Time Series

This data product is a time series, as such, the date_stamp should be included in any tabulations performed on it. In addition, tabulations should be created using the sum of a measure rather than the count or percentage of records.

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV download provided by the Government of Canada on their Coronavirus disease (COVID-19): Outbreak update website. The data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The source data includes aggregate records for all of Canada. These are removed as these values can be computed.
The source variables numrecovered and percentrecovered had a number of \\\"N/A\\\" values that have been replaced with empty (NULL) values. These variables were mapped to cnt_recovered and pct_recovered in this data product.
The source variable pruid has an extra code (99 Repatriated travellers) that keeps it from lining up with the standard geographic codes published by StatsCanada. To alleviate this the pruid field has been split into ca_provterr where 99 is null, and ca_covid19_geo which preserves the original value of 99.
The source variable date is formatted as DD-MM-YYYY, this is reformatted to YYYY-MM-DD (ISO 8601) and renamed as date_stamp in this data product.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"466f1f0b-fcc8-4eb9-9371-c6a6252832c5\"\n },\n {\n \"description\": \"

Conducted online from From March 29 to April 3 2020, this survey aims at understanding the impact of the COVID-19.

\",\n \"id\": \"pums_icc_mh_202006\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-15T00:24:46.281Z\",\n \"name\": \"Impacts of COVID-19, 2020: Mental Health (ICC-MH): Crowdsource file\",\n \"uri\": \"67c14d60-3161-4a91-b1fb-0a9bc803b86a\"\n },\n {\n \"description\": \"The Labour Force Survey provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy.\",\n \"id\": \"pums_lfs\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-08-11T02:12:48.407Z\",\n \"name\": \"Labour Force Survey (2018-01 to 2020-07)\",\n \"uri\": \"fc0299c3-5a5b-4935-bda8-794e717aaa4e\"\n },\n {\n \"citation\": \"Statistics Canada. Table 13-10-0766-01 Detailed confirmed cases of coronavirus disease (COVID-19) (Preliminary data), Public Health Agency of Canada\",\n \"description\": \"Detailed confirmed cases of coronavirus disease in individuals as collected and published by Statistics Canada. Each reacord measures the latest hospitalization, ICU, and deceased status of individuals confirmed to have coronavirus on a specific date.\",\n \"id\": \"ca_statcan_cases\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:29.35Z\",\n \"name\": \"Statistics Canada Detailed Confirmed Cases\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV download of the entire table. This data is pulled daily.

Data Curation and Transformation

The source CSV file has a structure based on a SDMX cube, in which there are several columns of interest, REF_DATE, Case Identifier number, Case information, and VALUE.The REF_DATE and Case Identifier number are the same for a record, but a single record in the Statistics Canada table is spread out over 13 records in the CSV file, each with a different VALUE for a specific Case information. The source CSV file has been transformed to produce the data in this data product.

The following data curation and transformation steps have been performed on the source data.

The source variables REF_DATE, Date case was last updated - month, and Date case was last updated - day have been combined into a single date_stamp ISO 8601 date variable.
The source variables REF_DATE, Episode date - month, and Episode date - day have been combined into a single episode_start_date ISO 8601 date variable.
The '..' in the source previous status variables are replaced with empty values.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"c1c3d310-bea2-454a-8293-64698db4a009\"\n },\n {\n \"citation\": \"Statistics Canada. Table 13-10-0781-01 Detailed preliminary information on confirmed cases of COVID-19 (Revised), Public Health Agency of Canada\",\n \"description\": \"Detailed preliminary information on confirmed cases of COVID-19 (Revised), Public Health Agency of Canada.\",\n \"id\": \"ca_statcan_cases_revised\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-22T13:38:51.908Z\",\n \"name\": \"Statistics Canada Detailed Confirmed Cases (Revised)\",\n \"provenance\": \"Note: On May 22nd, 2020, this data file of detailed confirmed cases from the Public Health Agency of Canada (PHAC) replaced data published in table 13-10-0766-01. This covers all of the detailed confirmed cases up to May 13th, but with new Statistics Canada Case identifier numbers.

Data Curation and Transformation

The downloaded CSV file has a structure based on a SDMX cube, in which there are several columns of interest, REF_DATE, Case Identifier number, Case information, and VALUE.The REF_DATE and Case Identifier number are the same for a record, but a single record in the Statistics Canada table is spread out over 28 records in the CSV file, each with a different VALUE for a specific Case information. This CSV file has been transformed to produce the data in this data product.

The following data curation and transformation steps have been performed on the source data.

The columns have been renamed to better match our other harmonized files.
Week/Year variables like Onset week/Onset year, Recovery week/Recovery year, and Episode week/Episode year, have been combined into corresponding weekstamp ISO 8601 date variables.
Age group has been recoded to better match our other age group variables

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"9550beee-fb8e-4dc3-b9af-a49585716c74\"\n }\n ],\n \"description\": \"COVID-19 related data products covering Canada at the national and subnational levels.\",\n \"id\": \"ca\",\n \"isPrivate\": false,\n \"name\": \"Canada\",\n \"uri\": \"e7033e0f-e7f8-40cb-896d-8f2491eb858c\"\n },\n {\n \"dataProducts\": [\n {\n \"citation\": \"Google LLC \\\"Google COVID-19 Community Mobility Reports\\\". https://www.google.com/covid19/mobility Accessed: 2020-06-24.\",\n \"description\": \"Full dataset covering all geography levels. The Google Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.\",\n \"id\": \"google_mobility\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-08-09T00:20:27.882Z\",\n \"name\": \"Google COVID-19 Community Mobility Reports: All\",\n \"note\": \"Changes for each day are compared to a baseline value for that day of the week:

The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.
The datasets show trends over several months with the most recent data representing approximately 2-3 days ago—this is how long it takes to produce the datasets.

More information regarding the data can be found on Google's CSV Documentation Page. \",\n \"provenance\": \"\",\n \"uri\": \"4fc801f1-dd9a-48ee-b5c1-d85247cc54be\"\n },\n {\n \"citation\": \"Google LLC \\\"Google COVID-19 Community Mobility Reports\\\". https://www.google.com/covid19/mobility Accessed: 2020-06-24.\",\n \"description\": \"Country level dataset (lower level geographies removed). The Google Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.\",\n \"id\": \"google_mobility_country\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-25T02:48:23.729Z\",\n \"name\": \"Google COVID-19 Community Mobility Reports: Countries \",\n \"note\": \"Changes for each day are compared to a baseline value for that day of the week:

The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.
The datasets show trends over several months with the most recent data representing approximately 2-3 days ago—this is how long it takes to produce the datasets.

More information regarding the data can be found on Google's CSV Documentation Page. \",\n \"provenance\": \"\",\n \"uri\": \"4ca330dd-1240-4877-aae1-b3d139c5f1be\"\n },\n {\n \"citation\": \"Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. COVID-19 Data Repository\",\n \"description\": \"Johns Hopkins University country level COVID-19 data. Each record measures the counts of confirmed, active, recovered, and deaths for a country on a specific date.\",\n \"id\": \"jhu_country\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:38.975Z\",\n \"name\": \"Johns Hopkins University CCSE Country Reports\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and transformations applied to the data provided provided by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. This data is pulled daily.

Data Curation and Transformation

For in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"1f374e32-0946-4603-93f4-de3ed786caaf\"\n }\n ],\n \"description\": \"COVID-19 related data products covering multiple countries.\",\n \"id\": \"int\",\n \"isPrivate\": false,\n \"name\": \"International\",\n \"uri\": \"eb0f382b-35ee-4f41-ad45-5eb47be3430e\"\n },\n {\n \"dataProducts\": [\n {\n \"citation\": \"The COVID Tracking Project. State Historical Data\",\n \"description\": \"State level COVID-19 case information by date, collected by the COVID Tracking Project. Each record measures confirmed cases, tests performed, hospitalizations, recoveries, deaths, ventilator usage, and individuals in an ICU for a state on a specific date.\",\n \"id\": \"covidtracking_state\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:35.7Z\",\n \"name\": \"COVID Tracking Project State Data\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV Download provided by the COVID Tracking Project. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The source variable date has been reformatted to match the ISO 8601 format (YYYY-MM-DD). This variable has been renamed to date_stamp in this data product.
The source file has two variables, hospitalized and hospitalizedCumulative, which duplicate each other for every state. We have dropped the hospitalizedCumulative variable in this data product. The source hospitalized variable has been renamed to cnt_hospitalized in this data product.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"7c375d22-5b78-4cd2-a0b7-9b0865062604\"\n },\n {\n \"citation\": \"Google LLC \\\"Google COVID-19 Community Mobility Reports\\\". https://www.google.com/covid19/mobility Accessed: 2020-06-24.\",\n \"description\": \"U.S. States level dataset (other geographies removed). The Google Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.\",\n \"id\": \"google_mobility_us\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-25T02:49:35.619Z\",\n \"name\": \"Google COVID-19 Community Mobility Reports: United States \",\n \"note\": \"Changes for each day are compared to a baseline value for that day of the week:

The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.
The datasets show trends over several months with the most recent data representing approximately 2-3 days ago—this is how long it takes to produce the datasets.

More information regarding the data can be found on Google's CSV Documentation Page. \",\n \"provenance\": \"\",\n \"uri\": \"b18f9b29-05b6-443c-aada-13f4fad907da\"\n },\n {\n \"citation\": \"Google LLC \\\"Google COVID-19 Community Mobility Reports\\\". https://www.google.com/covid19/mobility Accessed: 2020-06-24.\",\n \"description\": \"U.S. Counties level dataset (other geographies removed), which uses FIPS codes for geospatial entities. The Google Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.\",\n \"id\": \"google_mobility_us_county\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-02T12:29:01.894Z\",\n \"name\": \"Google COVID-19 Community Mobility Reports: United States Counties \",\n \"note\": \"Changes for each day are compared to a baseline value for that day of the week:

The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020.
The datasets show trends over several months with the most recent data representing approximately 2-3 days ago—this is how long it takes to produce the datasets.

More information regarding the data can be found on Google's CSV Documentation Page. \",\n \"provenance\": \"\",\n \"uri\": \"b7d587d1-b69d-4875-b90f-e1e15cebbd50\"\n },\n {\n \"citation\": \"Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. COVID-19 Data Repository\",\n \"description\": \"Johns Hopkins University U.S. county level COVID-19 data. Each record measures the counts of confirmed, recovered, and deaths for a U.S. county on a specific date.\",\n \"id\": \"jhu_county\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:42.134Z\",\n \"name\": \"Johns Hopkins University CCSE U.S. County Reports\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

Some admin2 FIPS codes only have 4 digits (missing their leading 0). These were patched.
800nn codes: entries are found with an admin2 FIPS code 800+State FIPS code and a lable of \\\"Out of XX\\\" where XX is the state 2-letter code (e.g. Out of CO). These are aggregated into a \\\"Other\\\" category.
900nn codes: entries are found with an admin2 code 900+State FIPS code and coundty name \\\"Unassigned\\\". These are aggregated into a \\\"Other\\\" category.
Missing code: A few entries have no admin2 FIPS codes to capture count their regional or specific entities (e.g. West Utah, TriHealth, etc.). These are aggregated into a \\\"Other\\\" category.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"5a17b99f-ec80-4008-9859-e6b2cbff47f0\"\n },\n {\n \"citation\": \"Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. COVID-19 Data Repository\",\n \"description\": \"Johns Hopkins University U.S. state level COVID-19 data. Each record measures the counts of confirmed, recovered, and deaths for a U.S. state on a specific date.\",\n \"id\": \"jhu_state\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:44.994Z\",\n \"name\": \"Johns Hopkins University CCSE U.S. State Reports\",\n \"note\": \"Time Series

\",\n \"provenance\": \"This data product is created through cleaning and transformations applied to the data provided provided by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. This data is pulled daily.Data Curation and Transformation

For in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"a60421c1-137a-4007-8e68-04aca6f513d8\"\n },\n {\n \"citation\": \"Small Business Administration. SBA Paycheck Protection Program Loan Level Data\",\n \"description\": \"Paycheck Protection Program Loan data for the entire United States. This data product contains data about all active loans in the program: businesses that received loans, business owner demographics, the amount or range of loan received, and the number of jobs retained per loan measured by state, county, and congressional district.\",\n \"id\": \"ppp_loan\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-30T17:27:39.49Z\",\n \"name\": \"SBA Paycheck Protection Program Loan Level Data\",\n \"note\": \"Loan Amounts

This data product combines the above $150k loan data with the below $150k loan data. In the above $150k data, the business names and addresses are provided but the exact amount received is not. In the below $150k data, the exact amount received is provided but the business names and addresses are not. To allow estimates of total amounts received, we have added numeric loan minimum, average, and maximum columns. For loans above $150k, these variables will be computed based on the loan range; for loans below $150k, these variables will contain the exact amount received.

U.S. Counties

This data product has added the inferred primary U.S. County Code to each record based on the zip codes in the original data file. These may be inaccurate for recipients in ZIP codes spanning multiple counties.

PPP Is A Delegated Loan Making Process

PPP loans are not made by SBA. PPP loans are made by lending institutions and then guaranteed by SBA. Accordingly, borrowers apply to lenders and self-certify that they are eligible for PPP loans. The self-certification includes a good faith certification that the borrower has economic need requiring the loan and a certification that the borrower has applied the affiliation rules and is a small business, among other certifications The lender then reviews the borrower’s application, and if all the paperwork is in order, approves the loan and submits it to SBA.

PPP Loan Data Is Not Indicative of Loan Forgiveness or Program Compliance

A small business or non-profit organization that is listed in the publicly released data has been approved for a PPP loan by a delegated lender. However, the lender’s approval does not reflect a determination by SBA that the borrower is eligible for a PPP loan or entitled to loan forgiveness. All PPP loans are subject to SBA review and all loans over $2 million will automatically be reviewed. The fact that a borrower is listed in the data as having a PPP loan does not mean that SBA has determined that the borrower complied with program rules or is eligible to receive a PPP loan and loan forgiveness. Further, a small business’s receipt of a PPP loan should not be interpreted as an endorsement of the small business’ business activity or business model.

Canceled Loans Do Not Appear In The PPP Loan Data

The public PPP data includes only active loans. Loans that were canceled for any reason are not included in the public data release.

PPP Loan Demographic Data Is Voluntarily Submitted

PPP loan data reflects the information borrowers provided to their lenders in applying for PPP loans. SBA can make no representations about the accuracy or completeness of any information that borrowers provided to their lenders. Not all borrowers provided all information. For example, approximately 75% of all PPP loans did not include any demographic information because that information was not provided by the borrowers. SBA is working to collect more demographic information from borrowers to better understand which small businesses are benefiting from PPP loans. The loan forgiveness application expressly requests demographic information for borrowers.

\",\n \"provenance\": \"

This data product is created through cleaning and combining the above and below $150k files available for all states provided by the Small Business Administration.\",\n \"uri\": \"4d3471ac-759a-4ec2-975d-ac7253309050\"\n }\n ],\n \"description\": \"This catalog contains COVID-19 data products around the United States of America at the country, state, and county levels.\",\n \"id\": \"us\",\n \"isPrivate\": false,\n \"name\": \"United States\",\n \"uri\": \"22afa94b-08ff-4e8e-a516-23e625775db5\"\n },\n {\n \"dataProducts\": [\n {\n \"citation\": \"New York State Department of Health. New York State Statewide COVID-19 Testing\",\n \"description\": \"Information on the number of tests of individuals for COVID-19 infection performed in New York State. Each record measures newly confirmed cases, total confirmed cases, new tests performed, and total tests performed for a country in the state of New York on a specific date.\",\n \"id\": \"ny_doh_tests\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:48.234Z\",\n \"name\": \"New York Department of Health Statewide COVID-19 Testing\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning the CSV Download provided by the State of New York Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The data uses county names rather than codes, these have been converted to the 5 digit FIPS codes.

For in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"ad86db6b-78f7-44bb-a035-1710f59f48ef\"\n }\n ],\n \"description\": \"This catalog contains COVID-19 data products specifically about the state of New York.\",\n \"id\": \"us_ny\",\n \"isPrivate\": false,\n \"name\": \"United States: New York\",\n \"uri\": \"f62d7596-385e-46a9-a2d2-d01ace1c7bd6\"\n },\n {\n \"dataProducts\": [\n {\n \"citation\": \"Ohio Department of Health (ODH). Ohio Department of Health COVID-19 Dashboard \",\n \"description\": \"The most recent preliminary data reported to the Ohio Department of Health (ODH) county aggregate counts. Each record measures the count of confirmed cases, hospitalizations, and deaths for a county on a specific date.\",\n \"id\": \"oh_doh_cases_aggregate\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:54.402Z\",\n \"name\": \"Ohio Department of Health Aggregate COVID Data\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created by computing aggregate counts by date and county based off of the CSV Download provided by the Ohio Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The county names are dropped and recoded as their 5 digit FIPS code and their code labels will be a part of the metadata.
The aggregate counts were first computed on each date and county, this provided us with the daily count of confirmed cases, hospitalizations, and deaths regardless of the sex or age group of the individuals. Then a cumulative sum was produced over the county field to get the final cumulative values.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"cd660923-c1f7-4320-9c79-11646a6dc757\"\n },\n {\n \"citation\": \"Ohio Department of Health (ODH). Ohio Department of Health COVID-19 Dashboard \",\n \"description\": \"The most recent preliminary data reported to the Ohio Department of Health (ODH). Each record measures the count of confirmed cases, hosptializations, and deaths for an age group, sex, and county on a specific date.\",\n \"id\": \"oh_doh_cases\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-06T11:26:51.318Z\",\n \"name\": \"Ohio Department of Health COVID Data\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV Download provided by the Ohio Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The county names are dropped and recoded as their 5 digit FIPS code and their code labels will be a part of the metadata.
The sex column has been coded.
The age_group in has been coded with 'Unknown' being coded as 99.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"d585c6f8-a484-4dd0-abd4-122339953cc5\"\n }\n ],\n \"description\": \"This catalog contains COVID-19 data products specifically about the state of Ohio.\",\n \"id\": \"us_oh\",\n \"isPrivate\": false,\n \"name\": \"United States: Ohio\",\n \"uri\": \"2a148f1e-a21d-42b9-892a-2849a243597a\"\n },\n {\n \"dataProducts\": [\n {\n \"citation\": \"Knox County Department of Health. Knox County COVID-19 Data\",\n \"description\": \"Knox county COVID-19 case information. Each record measures the count of confirmed cases, recovered cases, active cases, probable cases, hospitalizations and deaths on a specific date.\",\n \"id\": \"us_tn_kchd_cases\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-13T13:17:44.513Z\",\n \"name\": \"Knox County Department of Health - Case Information\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV Download provided by the Knox County Department of Health. This data is pulled daily.

Data Curation and Transformation

For information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"59fd8286-a231-4cf5-87f5-27794bedc801\"\n },\n {\n \"citation\": \"Knox County Department of Health. Knox County COVID-19 Data\",\n \"description\": \"Knox county COVID-19 cases by age group. Each record measures the count and percentage of confirmed cases, by age group on a specific date.\",\n \"id\": \"us_tn_kchd_age\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-13T13:17:55.846Z\",\n \"name\": \"Knox County Department of Health - Cases by Age\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV Download provided by the Knox County Department of Health. This data is pulled daily.

Data Curation and Transformation

For information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"abb728e8-1c0d-4f1e-a555-fc82a2c81766\"\n },\n {\n \"citation\": \"Knox County Department of Health. Knox County COVID-19 Data\",\n \"description\": \"Knox county COVID-19 cases by sex. Each record measures the count and percentage of confirmed cases by sex on a specific date.\",\n \"id\": \"us_tn_kchd_sex\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-13T13:18:05.623Z\",\n \"name\": \"Knox County Department of Health - Cases by Sex\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV Download provided by the Knox County Department of Health. This data is pulled daily.

Data Curation and Transformation

For information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"01b257a9-c415-4bc9-96e4-c4a567fb1e9b\"\n },\n {\n \"citation\": \"Knox County Department of Health. Knox County COVID-19 Data\",\n \"description\": \"Knox county COVID-19 related resource capacity. Each record measures the total capacity, along with the counts and percentages of resources in use and resources available by resource type on a specific date.\",\n \"id\": \"us_tn_kchd_capacity\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-13T13:18:16.418Z\",\n \"name\": \"Knox County Department of Health - Resource Capacity\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the CSV Download provided by the Knox County Department of Health. This data is pulled daily.

Data Curation and Transformation

For information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"d8f7959f-4590-431d-bb30-e2852550ff9a\"\n },\n {\n \"citation\": \"Tennessee Department of Health. Tenessee Department of Health: Epidemiology and Surveillance Data\",\n \"description\": \"Tennesse state COVID-19 case information by age group. Each record measures the count of confirmed cases, percentage of confirmed cases, and count of deaths by age group on a specific date.\",\n \"id\": \"us_tn_doh_age\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-17T12:04:54.912Z\",\n \"name\": \"Tennesse Department of Health Age Demographics\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the Excel Download provided by the Tennessee Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The age goup has been coded.
The percentage of cases and percentage of new cases were multiplied by 100 in order that the values add up to 100 rather than decimals that add up to 1.0.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"c7928e6a-0e82-4016-aa0b-78567e95a4b6\"\n },\n {\n \"citation\": \"Tennessee Department of Health. Tenessee Department of Health: Epidemiology and Surveillance Data\",\n \"description\": \"Tennessee county level COVID-19 case information. Each record measures the count of confirmed cases, active cases, hospitalizations, recoveries, deaths, and tests by county on a specific date.\",\n \"id\": \"us_tn_doh_county\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-23T14:10:47.557Z\",\n \"name\": \"Tennesse Department of Health County Case Information\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the Excel Download provided by the Tennessee Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The county name has been replaced with the 5 digit FIPS county code. The 'Pending' and 'Out of State' values have been removed from this variable.
A new variable tn_covid_geo has been added. This will be the 5 digit county FIPS code and will include codes for 'Pending' and 'Out of State'.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"df6b5717-d70e-4d6a-9be9-c4e018586ff2\"\n },\n {\n \"citation\": \"Tennessee Department of Health. Tenessee Department of Health: Epidemiology and Surveillance Data\",\n \"description\": \"Tennessee state COVID-19 case information by ethnicity. Each record measures the count of confirmed cases, percentage of confirmed cases, count of deaths, and percentage of deaths by ethnicity on a specific date.\",\n \"id\": \"us_tn_doh_ethnicity\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-17T12:11:12.061Z\",\n \"name\": \"Tennesse Department of Health Ethnic Demographics\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the Excel Download provided by the Tennessee Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The file is a subset of the source data which combines ethnicity, race, and sex. This data product contains only the records that apply to ethnicity.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"b0793669-aa25-44f0-b19a-26a3ef48d2b3\"\n },\n {\n \"citation\": \"Tennessee Department of Health. Tenessee Department of Health: Epidemiology and Surveillance Data\",\n \"description\": \"Tennessee state COVID-19 case information by race. Each record measures the count of confirmed cases, percentage of confirmed cases, count of deaths, and percentage of deaths by race on a specific date.\",\n \"id\": \"us_tn_doh_race\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-26T12:39:35.811Z\",\n \"name\": \"Tennesse Department of Health Race Demographics\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the Excel Download provided by the Tennessee Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The file is a subset of the source data which combines ethnicity, race, and sex. This data product contains only the records that apply to race.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"a82abf40-c667-4a42-81e8-110049ebadd6\"\n },\n {\n \"citation\": \"Tennessee Department of Health. Tenessee Department of Health Epidemiology and Surveillance Data\",\n \"description\": \"Tennessee state COVID-19 case information by sex. Each record measures the count of confirmed cases, percentage of confirmed cases, count of deaths, and percentage of deaths by sex on a specific date.\",\n \"id\": \"us_tn_doh_sex\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-17T11:51:25.706Z\",\n \"name\": \"Tennesse Department of Health Sex Demographics\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the Excel Download provided by the Tennessee Department of Health. This data is pulled daily.

Data Curation and Transformation

The following data curation and transformation steps have been performed on the source data file.

The file is a subset of the source data which combines ethnicity, race, and sex. This data product contains only the records that apply to sex.

For more in depth information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"c0f79590-616f-4a60-a5a9-9533c2657494\"\n },\n {\n \"citation\": \"Tennessee Department of Health. Tenessee Department of Health: Epidemiology and Surveillance Data\",\n \"description\": \"Tennessee state level COVID-19 case information. Each record measures the count of confirmed cases, active cases, hospitalizations, recoveries, deaths, and tests for the entire state of Tennessee on a specific date.\",\n \"id\": \"us_tn_doh_state\",\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-06-23T14:11:01.508Z\",\n \"name\": \"Tennesse Department of Health State Case Information\",\n \"note\": \"Time Series

\",\n \"provenance\": \"

This data product is created through cleaning and simple transformations applied to the Excel Download provided by the Tennessee Department of Health. This data is pulled daily.

For information about the data curation process or how this data product's variables were mapped from the source file, please visit this data product's GitHub repository.

\",\n \"uri\": \"e63f71a7-e423-43f0-805a-98ea28f1ed0d\"\n }\n ],\n \"description\": \"This catalog contains COVID-19 data products specifically about the state of Tennesee.\",\n \"id\": \"us_tn\",\n \"isPrivate\": false,\n \"name\": \"United States: Tennesee\",\n \"uri\": \"5ae1789b-5810-44b8-8523-d0f6c0a56359\"\n }\n ],\n \"isPrivate\": false,\n \"lastUpdate\": \"2020-07-15T01:32:25.485Z\",\n \"uri\": \"RDS\"\n}"}],"_postman_id":"606e9ecb-6ab6-45c9-811a-89d78699806b"},{"name":"Utility Request","event":[{"listen":"prerequest","script":{"id":"c109d327-1da8-40b4-9fee-40fe0d3d495c","exec":["//send an async request to get the TSA HTML code","pm.sendRequest('https://www.tsa.gov/coronavirus/passenger-throughput', function (err, res) {"," if (err) {"," console.log(err);"," } else {"," //stream and save the returned html to use later in the script"," let responseBody = new Buffer.from(res.stream).toString()"," pm.collectionVariables.set(\"tsa_html\", responseBody);"," }","});","//retrieve the html that we saved","var html = pm.collectionVariables.get(\"tsa_html\");","","//create an array to store our parsed data rows","var updates = [];","","//load html into cheerio, then get the table via selector. "," const $ = cheerio.load(html);"," $(\"#block-mainpagecontent > article > div > div > table > tbody > tr\").each((index, element) => {"," //build up our js object / json nodes by parsing each row of the table"," const tds = $(element).find(\"td\");"," const dateData = $(tds[0]).text();"," const current = $(tds[1]).text();"," const lastyear = $(tds[2]).text();"," var entry = {"," dateData: dateData,"," current: current,"," lastyear: lastyear"," };"," //add one table row/json node"," updates.push(entry);"," });","//save it to the collection variables - this is what will be returned via the echo api.","pm.collectionVariables.set(\"tsa_json\", JSON.stringify(updates));","",""],"type":"text/javascript"}}],"id":"7f9ab01d-be2f-4528-b119-4b77530030e7","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"PUT","header":[],"body":{"mode":"raw","raw":"","options":{"raw":{"language":"json"}}},"url":"https://postman-echo.com/put","description":"

Maybe you aren't a data provider or documenting an existing API, but are a wiz at writing Postman scripts. That's great, and can be a huge help to the community. There are plenty of websites out there where data exists only in HTML tables. By using tools like ScraperAPI, cheerio and others, you can create utilities to highlight data that otherwise might not be available.

Similar to the other requests, it's important that you describe what this request is doing and provide parameter descriptions and response examples. If you are writing pre-request or test scripts, make sure you document those as well with inline comments, and give a brief overview here in the description section, as the published documentation will not show those parts of the request.

For example, in this request, we are parsing the TSA's yearly passenger throughput comparison table and returning it as JSON using the Postman Echo API.

\n","urlObject":{"protocol":"https","path":["put"],"host":["postman-echo","com"],"query":[],"variable":[]}},"response":[{"id":"987cb455-417d-481b-b6c5-efa33ad113a3","name":"Utility Request","originalRequest":{"method":"PUT","header":[],"body":{"mode":"raw","raw":"","options":{"raw":{"language":"json"}}},"url":"https://postman-echo.com/put"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 13 Aug 2020 17:15:34 GMT"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"ETag","value":"W/\"5b02-8CklX0q7sMvJ0wwpgX57EHwNOPU\""},{"key":"Vary","value":"Accept-Encoding"},{"key":"Content-Encoding","value":"gzip"},{"key":"set-cookie","value":"sails.sid=s%3AkT8rJkwzei2tv3_SxgHbfetn9jjSoxRN.MLNf11sk%2Fv93LMp96%2FcNH0ZGWPiZmfmUzlY2ASTaNuw; Path=/; HttpOnly"}],"cookie":[],"responseTime":null,"body":"{\n \"args\": {},\n \"data\": [\n {\n \"dateData\": \"Date\",\n \"current\": \"Total Traveler Throughput\",\n \"lastyear\": \"Total Traveler Throughput\\n\\t\\t\\t(1 Year Ago - Same Weekday)\"\n },\n {\n \"dateData\": \"8/12/2020\",\n \"current\": \"590,749\",\n \"lastyear\": \"2,391,906\"\n },\n {\n \"dateData\": \"8/11/2020\",\n \"current\": \"559,420\",\n \"lastyear\": \"2,306,829\"\n },\n {\n \"dateData\": \"8/10/2020\",\n \"current\": \"761,861\",\n \"lastyear\": \"2,567,986\"\n },\n {\n \"dateData\": \"8/9/2020\",\n \"current\": \"831,789\",\n \"lastyear\": \"2,647,897\"\n },\n {\n \"dateData\": \"8/8/2020\",\n \"current\": \"683,212\",\n \"lastyear\": \"2,290,340\"\n },\n {\n \"dateData\": \"8/7/2020\",\n \"current\": \"762,547\",\n \"lastyear\": \"2,725,000\"\n },\n {\n \"dateData\": \"8/6/2020\",\n \"current\": \"743,599\",\n \"lastyear\": \"2,707,986\"\n },\n {\n \"dateData\": \"8/5/2020\",\n \"current\": \"595,739\",\n \"lastyear\": \"2,430,094\"\n },\n {\n \"dateData\": \"8/4/2020\",\n \"current\": 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