README.md

Project Documentation

• Package structure

Option 1 - long

date	state	country	type	cases
2020-03-01	CA	US	positive	100
2020-03-01	NY	US	positive	150
2020-03-01	CA	US	tested	1000
2020-03-01	NY	US	tested	1000
2020-03-01	CA	US	recovered	10
2020-03-01	NY	US	recovered	10

Option 2 - long

date	location	location_type	location_code	location_code_type	data_type	value
2020-01-21	Washington	state	53	fips_code	cases_total	1
2020-01-21	Washington	state	53	fips_code	deaths_total	0
2020-01-22	Washington	state	53	fips_code	cases_total	1
2020-01-22	Washington	state	53	fips_code	deaths_total	0
2020-01-23	Washington	state	53	fips_code	cases_total	1
2020-01-23	Washington	state	53	fips_code	deaths_total	0

Option 3 - wide

date	state	country	positive	tested	recovered
2020-03-01	CA	US	100	1000	10
2020-03-01	NY	US	150	1000	10

• Package docs

• Standardized package functions

• Vignettes

• Standardized Vocabulary
  While many of the columns (e.g., location, standardized_location) are variable in their output, the types that are used to describe them are drawn from a standardized vocabulary. Here are the data standards for option 2 - long, with explanation for each. - date: YYYY-MM-DD - location_type: Continent, Country, State, Province - location_code_type: fips_code, iso_a3 - data_type: For temporally dynamic data types, use *_new and *_total to represent new values for the current day versus cummulative values. cases_new, cases_total, deaths, deaths_total, recovered_new, recovered_total, beds_total, beds_new...

• Data refresh

• Unit tests

• Project contribution

  • Pull request guidance

• Packages usage