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Learn to use visualization to answer to some analytical questions
Learn how to look at your data to find a good measure to stablish your analysis based upon
Learn to use Plotly module in python
By the end of this project, you will learn How you can use data visualization techniques to answer to some analytical questions. in this project we are going to use COVID19 dataset we have consisting of the data related cumulative number of confirmed, recovered, and deaths cases. we are going to prepare this dataset to answer these questions: How does the Global Spread of the virus look like?, How intensive the spread of the virus has been in the countries? Does covid19 national lockdowns and self-isolations in different countries have actually impact on COVID19 transmission? we are going to use Plotly module, which is a great visualization tool in python, in order to plot some insightful and intuitive graphs to answer the questions.
Python Libraries
Data Analysis
Plotly
Pandas
Data Visualization (DataViz)
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Importing COVID19 dataset and preparing it for the analysis by dropping columns
Using Choropleth map to Visualize Global Spread of COVID-19 from first day of the pandemic Deciding on and calculating a good measure for our analysis.
Using a Bar chart to compare different countries in terms of How massive the Spread of the virus has been in there.
Visualizing the impact of the national lockdown in Italy on the spread of the virus
Visualizing the impact of the national lockdown in Italy on the deaths rate.
Visualizing the impact of the national lockdown in Germany
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In a split-screen video, your instructor guides you step-by-step
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