Risklayer data

Create your basic Python environment for studying the data

Step 1 is for Linux. For other systems, look here. Newsflash: now also ... simply runs in your browser! Yes, skip (1) (2) (3) and directly hop to (4) when using the mybinder.org service . Wow, so cool.

(1) venv python3 with dependencies

Create and start the venv (virtual environment) to keep your main installation of python unaffected; then upgrade the `pip` package installer, and install the `wheel` binary packaging standard, then the `pandas` data structures, and the `jupyter` notebook interface and its kernel, which you register as "py3sciencekernel". Finally, start the jupyter server ...

python3 -m venv ./py3science
source ./py3science/bin/activate

pip3 install -U pip wheel
pip3 install pandas jupyter ipykernel

ipython kernel install --user --name="py3sciencekernel"
jupyter notebook

... and wait until the browser shows you http://localhost:8888

(2) new jupyter notebook

• (right hand side) New --> py3sciencekernel
• (top) Untitled --> risklayer-data-analysis-v01
• at the In[ ] input line ... try it out ... type this:
• [ 42**i for i in range(42) ]
• <Shift> <Enter>
   
• you should see a triangle of numbers. Yes, arbitrary precision. Welcome to Python.

(3) download & explore the data

Input this to get the risklayer.com dataset, and show their 3 info lines

import pandas
url_RL = "http://risklayer-explorer.com/media/data/events/GermanyValues.csv"
df = pandas.read_csv(url_RL)

attribution = df[ pandas.isna( df["ADMIN"]) ]
print ( "\n".join(attribution["AGS"].values) )


and again <Shift> <Enter>. 

Now explore the DataFrame. For example, here's a simple-statistics summary:

df.describe()

or e.g. sum all the numerical rows

df.sum()

or look at the whole table

df

(4) you decide what's next

I recommend looking into pandas and matplotlib. Have fun. If interesting, I would like to learn what you find out. Later, perhaps we can include your analysis into cov19de somehow?

Once you have created interesting insights into that dataset, simply raise an issue to contact me please.