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https://github.com/turbot/powerpipe-mod-covid19

Visualize COVID-19 vaccinations, healthcare capacity, regional trends, and more using Powerpipe and PostgreSQL.
https://github.com/turbot/powerpipe-mod-covid19

covid-19 covid-data covid19 covid19-data dashboard postgres postgresql powerpipe powerpipe-mod sql

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Visualize COVID-19 vaccinations, healthcare capacity, regional trends, and more using Powerpipe and PostgreSQL.

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README 

        
# COVID-19 Mod for Powerpipe



View dashboards to analyze [COVID-19](https://ourworldindata.org/coronavirus) vaccinations, healthcare capacity, regional trends, and more.



![image](https://raw.githubusercontent.com/turbot/powerpipe-mod-covid19/main/docs/covid19_dashboard_screenshot.png)



## Overview



Dashboards can help answer questions like:



- What is the total number of new COVID-19 cases?

- How does the number of new tests compare to new cases over time globally?

- What is the progress of global vaccination efforts over time?

- How are ICU and hospital admissions trends evolving in the context of COVID-19?

- What is the distribution of total cases and deaths per million by continent?



## Documentation



- **[Dashboards →](https://hub.powerpipe.io/mods/turbot/covid19/dashboards)**



## Getting Started



### Installation



Download and install Powerpipe (https://powerpipe.io/downloads) and PostgreSQL(https://www.postgresql.org/download). Or use Brew:



```sh

brew install turbot/tap/powerpipe

brew install turbot/tap/postgresql

```



Install the mod:



```sh

mkdir dashboards

cd dashboards

powerpipe mod init

powerpipe mod install github.com/turbot/powerpipe-mod-covid19

```



### Configure Database



Download the dataset into the dashboards directory:



```sh

curl -o owid-covid-data.csv https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv

```



Connect to PostgreSQL:



```sh

psql -U  -d postgres

```



Create and connect to a database:



```sh

create database covid19;

\c covid19

```



Create a table:



```sh

create table covid_data (

    iso_code VARCHAR(10),

    continent VARCHAR(50),

    location VARCHAR(50),

    date DATE,

    total_cases FLOAT,

    new_cases FLOAT,

    new_cases_smoothed FLOAT,

    total_deaths FLOAT,

    new_deaths FLOAT,

    new_deaths_smoothed FLOAT,

    total_cases_per_million FLOAT,

    new_cases_per_million FLOAT,

    new_cases_smoothed_per_million FLOAT,

    total_deaths_per_million FLOAT,

    new_deaths_per_million FLOAT,

    new_deaths_smoothed_per_million FLOAT,

    reproduction_rate FLOAT,

    icu_patients FLOAT,

    icu_patients_per_million FLOAT,

    hosp_patients FLOAT,

    hosp_patients_per_million FLOAT,

    weekly_icu_admissions FLOAT,

    weekly_icu_admissions_per_million FLOAT,

    weekly_hosp_admissions FLOAT,

    weekly_hosp_admissions_per_million FLOAT,

    total_tests FLOAT,

    new_tests FLOAT,

    total_tests_per_thousand FLOAT,

    new_tests_per_thousand FLOAT,

    new_tests_smoothed FLOAT,

    new_tests_smoothed_per_thousand FLOAT,

    positive_rate FLOAT,

    tests_per_case FLOAT,

    tests_units VARCHAR(50),

    total_vaccinations FLOAT,

    people_vaccinated FLOAT,

    people_fully_vaccinated FLOAT,

    total_boosters FLOAT,

    new_vaccinations FLOAT,

    new_vaccinations_smoothed FLOAT,

    total_vaccinations_per_hundred FLOAT,

    people_vaccinated_per_hundred FLOAT,

    people_fully_vaccinated_per_hundred FLOAT,

    total_boosters_per_hundred FLOAT,

    new_vaccinations_smoothed_per_million FLOAT,

    new_people_vaccinated_smoothed FLOAT,

    new_people_vaccinated_smoothed_per_hundred FLOAT,

    stringency_index FLOAT,

    population_density FLOAT,

    median_age FLOAT,

    aged_65_older FLOAT,

    aged_70_older FLOAT,

    gdp_per_capita FLOAT,

    extreme_poverty FLOAT,

    cardiovasc_death_rate FLOAT,

    diabetes_prevalence FLOAT,

    female_smokers FLOAT,

    male_smokers FLOAT,

    handwashing_facilities FLOAT,

    hospital_beds_per_thousand FLOAT,

    life_expectancy FLOAT,

    human_development_index FLOAT,

    population FLOAT,

    excess_mortality_cumulative_absolute FLOAT,

    excess_mortality_cumulative FLOAT,

    excess_mortality FLOAT,

    excess_mortality_cumulative_per_million FLOAT

);

```



Load the Dataset into the table:



```sh

\copy covid_data(iso_code, continent, location, date, total_cases, new_cases, new_cases_smoothed, total_deaths, new_deaths, new_deaths_smoothed, total_cases_per_million, new_cases_per_million, new_cases_smoothed_per_million, total_deaths_per_million, new_deaths_per_million, new_deaths_smoothed_per_million, reproduction_rate, icu_patients, icu_patients_per_million, hosp_patients, hosp_patients_per_million, weekly_icu_admissions, weekly_icu_admissions_per_million, weekly_hosp_admissions, weekly_hosp_admissions_per_million, total_tests, new_tests, total_tests_per_thousand, new_tests_per_thousand, new_tests_smoothed, new_tests_smoothed_per_thousand, positive_rate, tests_per_case, tests_units,total_vaccinations, people_vaccinated, people_fully_vaccinated, total_boosters, new_vaccinations, new_vaccinations_smoothed, total_vaccinations_per_hundred, people_vaccinated_per_hundred, people_fully_vaccinated_per_hundred, total_boosters_per_hundred, new_vaccinations_smoothed_per_million, new_people_vaccinated_smoothed, new_people_vaccinated_smoothed_per_hundred, stringency_index, population_density, median_age, aged_65_older, aged_70_older, gdp_per_capita, extreme_poverty, cardiovasc_death_rate, diabetes_prevalence, female_smokers, male_smokers, handwashing_facilities, hospital_beds_per_thousand, life_expectancy, human_development_index, population, excess_mortality_cumulative_absolute, excess_mortality_cumulative, excess_mortality, excess_mortality_cumulative_per_million) from '~/owid-covid-data.csv' DELIMITER ',' CSV HEADER ENCODING 'UTF-8';

```



### Browsing Dashboards



Start the dashboard server with the DB connection string:



```sh

powerpipe server --database postgres://@localhost:5432/covid19

```



Browse and view your dashboards at **http://localhost:9033**.



## Open Source & Contributing



This repository is published under the [Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0). Please see our [code of conduct](https://github.com/turbot/.github/blob/main/CODE_OF_CONDUCT.md). We look forward to collaborating with you!



[Powerpipe](https://powerpipe.io) is a product produced from this open source software, exclusively by [Turbot HQ, Inc](https://turbot.com). It is distributed under our commercial terms. Others are allowed to make their own distribution of the software, but cannot use any of the Turbot trademarks, cloud services, etc. You can learn more in our [Open Source FAQ](https://turbot.com/open-source).



## Get Involved



**[Join #powerpipe on Slack →](https://powerpipe.io/community/join)**



Want to help but not sure where to start? Pick up one of the `help wanted` issues:



- [Powerpipe](https://github.com/turbot/powerpipe/labels/help%20wanted)

- [Covid19 Mod](https://github.com/turbot/powerpipe-mod-covid19/labels/help%20wanted)