CalCAT | California COVID Assessment Tool | Dataset library

by StateOfCalifornia R Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | CalCAT Summary

CalCAT is a R library typically used in Artificial Intelligence, Dataset, Pytorch applications. CalCAT has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Welcome to the California COVID Assessment Tool (CalCAT). This repository contains an application written in Shiny and for use with any US state to assist in assessing the many different models available for understanding COVID-19 transmission and spread. It brings together several data sources that are publicly available, and can be supplemented with your own data to improve the assessment.

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Quality

Security

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Support

CalCAT has a low active ecosystem.

It has 214 star(s) with 105 fork(s). There are 26 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 16 have been closed. On average issues are closed in 4 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of CalCAT is current.

Quality

CalCAT has no bugs reported.

Security

CalCAT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CalCAT is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

CalCAT releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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CalCAT Key Features

No Key Features are available at this moment for CalCAT.

CalCAT Examples and Code Snippets

No Code Snippets are available at this moment for CalCAT.

Community Discussions

Trending Discussions on CalCAT

How to scrape a website's href (changing with session) from the inspect element, and not the source code of the page

Getting data from JSON GraphQL Error: TypeError: Cannot read property 'map' of null

How can I loop over rows in my DataFrame, calculate a value and put that value in a new column with this lambda function

Image Carousel Codepen Images not loading

QUESTION

How to scrape a website's href (changing with session) from the inspect element, and not the source code of the page

Asked 2020-Oct-26 at 19:33

Requirement: [Trying to fetch the href from inspect element and store in a variable, then perform python requests.get() to fetch the data]
To get the COVID R0 data from the site : https://calcat.covid19.ca.gov/cacovidmodels/ into S3 , create a data pipeline and create a dashboard.

Steps to reproduce :

Navigate to https://calcat.covid19.ca.gov/cacovidmodels/ -> Custom Datasets
Select Current
Select R-Effective
By County -> Select All county from dropdown
Right click on the Download Custom Dataset option :Copy link address
Use this address to get the data [The link changes after every few minutes, and gets the latest session added to the URL]

Approach: I am able to get the dataset into S3, but since the link changes and contains a session, the script is unable to fetch the data.
When I do a view source code option, I do not see the href there, but "Inspect element" does show the latest href.
I am new to selenium, but whatever I could explore shows that it should be doable using selenium with python.

...

ANSWER

Answered 2020-Oct-26 at 19:33

You might want to try the head mode instead of the headless. For example this gets you Statewide R-Effective over Time canned dataset.

Source https://stackoverflow.com/questions/64539699

QUESTION

Getting data from JSON GraphQL Error: TypeError: Cannot read property 'map' of null

Asked 2019-Oct-24 at 10:04

I'm trying to get some data from a GraphQL query, but i'm having some trouble.

When i try to map over some JSon data, i can't get data from the arrays inside the data.

I'm not sure what i'm missing.

What i've tried:

This works fine:

...

ANSWER

Answered 2019-Oct-24 at 10:04

Do a conditional render.

For readability, add another function to extract names for each camere.

Source https://stackoverflow.com/questions/58538253

QUESTION

How can I loop over rows in my DataFrame, calculate a value and put that value in a new column with this lambda function

Asked 2019-May-08 at 23:26

./test.csv looks like:

...

ANSWER

Answered 2019-May-08 at 23:26

csv_df['datetime'] is series, so x of apply is each cell of series. You call apply with lambda and days_until_exp(), but you doesn't passing x to it. Therefore, the result is wrong.

Anyway, Without your sample data, I guess that you want to find sum of csv_df['datetime'] - today(). To do this, you don't need apply. Just do direct vectorized operation on series and sum.

I make 2 columns dataframe for sample:

Source https://stackoverflow.com/questions/56049885

QUESTION

Image Carousel Codepen Images not loading

Asked 2018-Jun-26 at 02:36

I have been trying to implement this codepen [https://codepen.io/LokeshNagarajan/pen/apRmZe?editors=1111] on my website but like in the codepen the images do not load even if I assign an https src and i believe the issue stems from the javascript but not sure exactly what to do to fix it.

...

ANSWER

Answered 2018-Jun-26 at 01:01

Your images are loading, but there are DIVs with a white background on top of them that are visually blocking the images. If you remove the background-color CSS declaration on those DIVs, then your images will show up. Just update this:

Source https://stackoverflow.com/questions/51033266

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install CalCAT

Fork this Repository
Enter your state's name in line 47 of the cal_cat_data_routine.rmd where it says state_name <- "California" Ctrl+Alt+R This routine will download data for your state from a number of different modeling groups. You can find out more about them in the Technical notes app the application.
You may also modify the data path for the application (line 56), but it defaults to a subdirectory named for your state, for example data/CA.
Each data source feeding the CalCAT has one or more functions in the R folder which pull the data down when the RMarkdown file is run. You can run this daily to ensure your app has the freshest data.
Once the data routine markdown has completed, you can follow the output messages to see if any sources returned errors. If so, please submit an issue letting us know what problem you ran into.
Next, you can run the app by opening the global.R file and again modifying the state name, now on line 40 (for example state_name <- "Arizona").
Run and deploy the app.
The California version of the app brings together even more publicly available data on cases, deaths, hospitalizations, and bed capacity. Many of these data likely exist in your region. You will need to update these inputs for maximal utility. The app contains some dummy data for these variables (referred to as 'Actuals'), scaled from the New York Times' repository of daily cases and deaths.

Support

We can't wait to see what you do with this. Please fork, edit and send us back as pull requests the changes you'd like to see. Maybe you'll incorporate your own estimator of R-Effective, or add functionality to import data; you could improve on our simple ensemble estimates. Go Wild!. A gift from California with love. “Together, all things are possible.” -- Cesar Chavez.

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