https://github.com/totalhack/zillion-covid-19

Use Zillion to analyze COVID-19 data
https://github.com/totalhack/zillion-covid-19

Last synced: about 1 year ago
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Use Zillion to analyze COVID-19 data

• Host: GitHub
• URL: https://github.com/totalhack/zillion-covid-19
• Owner: totalhack
• License: mit
• Archived: true
• Created: 2020-03-31T14:25:43.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-09-15T18:33:43.000Z (over 5 years ago)
• Last Synced: 2024-10-28T16:45:10.420Z (over 1 year ago)
• Language: Python
• Size: 5.31 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
Zillion COVID-19

================

This is an example repo showing how one can use

[Zillion](https://github.com/totalhack/zillion) to analyze data related to the

COVID-19 outbreak.

The `zillion` warehouse is defined in `zillion_covid_19/covid_warehouse.json`.

It references a remote sqlite database that is pulled from the Glide COVID-19

[repo](https://github.com/kmatarese/glide-covid-19). The warehouse is

configured to ignore the download if the sqlite database already exists

locally (check in `/tmp` for glide_covid_19.db), so it is a one-time snapshot

unless you adjust the `if_exists` setting in `covid_warehouse.json` or

periodically remove your local sqlite DB so it gets refreshed on the next

warehouse init.

To see the available warehouse metrics, dimensions, and datasources try the

following from the `zillion_covid_19` directory:

```shell

$ python warehouse.py

"""

---- Warehouse

metrics:

  {

      'cases': ,

      'cases_cumsum': ,

      'cumulative_cases': ,

      ...

"""

```

To run reports on the command line use the `run_report.py` helper script. The

following example would show cases and deaths by country for a particular date

(not cumulative, there are separate metrics for that):

```shell

$ python run_report.py -m cases deaths -d country -c '[("date", "=" , "2020-04-02")]'

"""

             Cases  Deaths

Country

Afghanistan     36       2

Albania         18       1

Algeria        139      28

Andorra         38       1

Angola           0       0

...            ...     ...

Venezuela        3       2

Vietnam         15       0

Yemen            0       0

Zambia           3       1

Zimbabwe         1       0

"""

```

Use `--help` for more information. The output is simply a printed dataframe,

so data may be truncated in the terminal. 

> **Note:** this is meant to be a quick example. Zillion is still in its

infancy and is subject to rapid changes.