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Is Covid-19 Still A Threat? A Python Data Analysis
How many Covid-19 cases are there today?

Each individual COVID-19 case is dramatic and each death is a tragedy, but is it still a threat to the major parts of our society? Welcome to Python Data Science December #17.
We will explore the COVID-19 cases & deaths over time for different countries in Europe using Python Pandas, Plotly & Matplotlib. All resources, datasets, required Python libraries & installations are listed at the end of the story, in the chapter Summary & Resources.
📅 The Data
I came across a COVID-19 dataset for the countries in the European Union from Eurostat. We will use it as the baseline for our article today.
I am using Python Jupyter notebook to examine the data, but you can also just take a regular Python script. To get a first impression of the data, let’s install & import Pandas and read the file into a Pandas DataFrame.
import pandas as pd
df = pd.read_csv('data.csv')
First, let us explore the dataset running df.info()
.
df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 9486 entries, 0 to 9485
Data columns (total 11 columns):
# Column Non-Null Count Dtype
--- …