COVID19 Data Visualization Using Python

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在此指导项目中,您将:

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中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

Python LibrariesData AnalysisPlotlyPandasData Visualization (DataViz)

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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