COVID19 Data Visualization Using Python

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在此指導項目中,您將:

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

Clock100 Minutes
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Python LibrariesData AnalysisPlotlyPandasData Visualization (DataViz)

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Importing COVID19 dataset and preparing it for the analysis by dropping columns

  2. 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.

  3. Using a Bar chart to compare different countries in terms of How massive the Spread of the virus has been in there.

  4. Visualizing the impact of the national lockdown in Italy on the spread of the virus

  5. Visualizing the impact of the national lockdown in Italy on the deaths rate.

  6. Visualizing the impact of the national lockdown in Germany

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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