feat: add summary notebook

README.md

@@ -5,8 +5,13 @@ the spread and effect of COVID-19. The goal is to provide a central place where
 data, analysis, and discussion can be conducted and shared by a global community
 struggling to make sense of the current public health emergency.
 
-For each data source, we provide a simple summary notebook with interactive
-figures:
+The project includes simple tools that make it very easy to work with the
+heterogeneous case data from various sources using common code. For a simple
+example, have a look at the [Global and Regional COVID-19 summary
+notebook](https://renkulab.io/projects/covid-19/covid-19-public-data/files/blob/runs/datasets_summary.run.ipynb).
+
+For each data source, we provide a summary notebook with interactive figures
+that can be used as starting points for further exploration:
 
 * [Summary of global data from from JHU CSSE](https://renkulab.io/projects/covid-19/covid-19-public-data/files/blob/runs/Dashboard.run.ipynb)
 * [Global data from from ECDC](https://renkulab.io/projects/covid-19/covid-19-public-data/files/blob/runs/covid-19-ecdc.run.ipynb)
@@ -20,13 +25,19 @@ of all the data can be found in the table below.
 
 ## Getting started with the project
 
-The goal of this project is not to build yet another dashboard - instead, it
-provides a place for easy access to the relevant data for the purposes of
-analysis and collaboration. This project is envisioned to be hands-on; with a
-few clicks you can be analysing the latest data from around the globe.
+The project intends provides a place for easy access to the relevant data for
+the purposes of analysis and collaboration. It is envisioned to be hands-on;
+with a few clicks you can be analysing the latest data from around the globe. We
+hope that this will make it easier for domain specialists to team up with
+analysts and data scientists to tackle the open questions together.
+
+The simplest way to start is to simply browse the available notebooks and take a
+look at the provided visualizations. If you would like something to be changed
+or to include some different data, feel free to start a
+[discussion](https://renkulab.io/projects/covid-19/covid-19-public-data/collaboration/issues)!
 
-The simplest way to start is to make an account or logging in and forking the
-project. Then, [start an interactive
+When you are ready to get your hands on the data, start by making an account or
+logging in on https://renkulab.io and forking the project. Then, [start an interactive
 environment](https://renkulab.io/projects/covid-19/covid-19-public-data/environments/new)
 and use the hosted JupyterLab or RStudio to explore the data.
 
@@ -60,9 +71,10 @@ spain_df = converter.read_convert('./data/covid-19-spain')
 ```
 
 The resulting DataFrames have exactly the same structure so they can be used
-interchangably in any analysis or plotting code. See the [standardization
-notebook]('https://renkulab.io/projects/covid-19/covid-19-public-data/files/blob/notebooks/process/standardize_datasets.ipynb') for a more complete
-example.
+interchangably in any analysis or plotting code. See the [Global and Regional
+COVID-19 summary
+notebook](https://renkulab.io/projects/covid-19/covid-19-public-data/files/blob/runs/datasets_summary.run.ipynb)
+for a more complete example.
 
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