covid19za
ststats
| covid19za | ststats | |
|---|---|---|
| 2 | 1 | |
| 255 | 0 | |
| -0.4% | - | |
| 3.6 | 0.0 | |
| 5 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
covid19za
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Start of fourth covid-19 wave in the Western Cape
I don't think that data is available at https://github.com/dsfsi/covid19za/tree/master/data .
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COVID-19 Awareness
Here's another great dashboard: http://www.covid19trends.co.za/ and there are a bunch more (along with the raw data) available at https://github.com/dsfsi/covid19za
ststats
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Interactive dashboard for specialty training competition ratios
This is how I processed the data. HEE uploads a bunch of PDFs which are not fun to parse in the first place, but to make things worse the tables are formatted inconsistently from year to year. I settled for a mix of copying/pasting and Python.
What are some alternatives?
COVID19_mobility - COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉
MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.
COVID19-Data - This is an Open Aggregated Dataset for the COVID19 Cases in Malta
SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
data - Daily time-series epidemiology and hospitalization data for all countries, state/province data for 50+ countries and county/municipality data for CO, FR, NL, PH, UK and US. Covariates for all available regions include demographics, mobility reports, government interventions, weather and more.
examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools
covid-19_india_data - COVID-19 India Dashboard and Vaccination Centre Search Application
mfp-wrapped - Data app to provide analytics for myfitnesspal users: a calorie counter and food journal
covid19-severity-prediction - Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
fma - FMA: A Dataset For Music Analysis
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)